18105 lines
343 KiB
Plaintext
18105 lines
343 KiB
Plaintext
aamir 170 0 0 0
|
|
aardsma 169 0 0 0
|
|
aaron 4322 143 41 63
|
|
aaronson 170 11 5 1
|
|
abad 103 10 0 8
|
|
abagnale 203 0 2 0
|
|
abalos 143 14 4 31
|
|
abashidze 576 0 3 16
|
|
abaya 187 7 4 27
|
|
abbas 36442 48 204 182
|
|
abbot 112 13 19 5
|
|
abbott 3230 286 1051 47
|
|
abby 15 389 10 13
|
|
abdalla 88 2 4 7
|
|
abdallah 216 22 3 2
|
|
abdellah 539 0 1 18
|
|
abdi 1571 9 0 113
|
|
abdo 419 10 57 2
|
|
abduction 183 21 135 61
|
|
abductor 382 46 2 9
|
|
abductors 41 19 17 1145
|
|
abdul 444 39 3 7
|
|
abdulaziz 285 0 0 2
|
|
abdulla 80 27 3 2
|
|
abdullah 7704 132 111 159
|
|
abe 325 13 15 14
|
|
abel 461 88 7 10
|
|
abell 93 91 11 3
|
|
abercrombie 168 77 158 5
|
|
aberle 10 56 31 60
|
|
abernathy 245 82 5 7
|
|
abernethy 89 36 0 5
|
|
abhishek 105 0 1 0
|
|
abid 161 1 2 5
|
|
abigail 4 312 3 7
|
|
abilities 126 30 87 1081
|
|
abizaid 2609 0 9 54
|
|
ablett 97 0 2 1
|
|
abner 50 64 19 3
|
|
abney 195 35 2 1
|
|
abortionist 90 12 0 1
|
|
aboud 208 6 1 0
|
|
abraham 4128 240 58 34
|
|
abrahams 161 28 4 12
|
|
abrahamson 76 23 5 4
|
|
abram 206 26 0 10
|
|
abramoff 236 0 4 2
|
|
abramovich 889 1 5 9
|
|
abrams 1009 100 40 25
|
|
abramson 580 99 14 13
|
|
abreu 1765 32 7 2
|
|
absentee 30 10 11 193
|
|
abu 281 1 3 6
|
|
abubakar 100 1 1 4
|
|
abuser 256 11 10 18
|
|
abyss 116 0 15 3
|
|
academic 314 91 28 20
|
|
acasuso 143 0 1 3
|
|
accent 171 76 114 15
|
|
accident 2075 461 1437 345
|
|
accommodations 165 4 33 46
|
|
accomplice 975 62 9 43
|
|
accomplices 40 1 2 393
|
|
accomplishments 208 69 111 395
|
|
accorsi 569 0 3 26
|
|
accountant 1804 184 64 42
|
|
accountants 76 3 69 1485
|
|
accusations 234 46 215 574
|
|
accused 15646 475 226 1816
|
|
accuser 487 6569 7 27
|
|
accusers 54 6 4 420
|
|
ace 4425 95 503 74
|
|
acebes 355 0 56 25
|
|
acehnese 4 0 3 222
|
|
aces 105 25 59 786
|
|
acevedo 892 51 4 13
|
|
acharya 108 18 5 7
|
|
achilles 2400 44 11 2
|
|
achmat 194 3 1 4
|
|
achraf 101 0 0 0
|
|
acker 167 125 2 8
|
|
ackerman 683 286 25 19
|
|
ackermann 357 4 3 2
|
|
acl 123 50 48 10
|
|
acosta 601 190 7 24
|
|
acquaintance 685 424 16 48
|
|
acquaintances 392 78 8 272
|
|
acquittal 883 7 57 17
|
|
actions 1357 216 1295 2209
|
|
activist 4625 838 65 99
|
|
acton 63 46 23 4
|
|
actor 30463 726 234 335
|
|
actress 185 17735 108 100
|
|
actresses 4 20 8 763
|
|
actuary 424 6 6 6
|
|
acuna 68 36 1 5
|
|
ada 34 88 85 24
|
|
adair 901 91 11 17
|
|
adam 2443 77 65 69
|
|
adami 88 10 3 0
|
|
adamkus 298 0 1 0
|
|
adams 11766 1995 283 300
|
|
adamson 369 75 18 15
|
|
adcock 118 34 2 5
|
|
addict 342 88 27 44
|
|
addictions 6 5 4 169
|
|
addicts 14 0 13 1232
|
|
addison 160 48 72 16
|
|
addo 116 2 1 2
|
|
address 977 174 892 187
|
|
addy 92 6 4 2
|
|
adel 81 37 9 6
|
|
adelman 1075 37 16 9
|
|
adelson 166 5 6 1
|
|
adelstein 157 0 2 0
|
|
aderholt 96 1 3 1
|
|
adibi 126 0 1 0
|
|
adil 140 4 0 0
|
|
adjournment 95 6 10 8
|
|
adjuster 44 15 11 161
|
|
adjusters 4 1 3 93
|
|
adkins 697 139 15 25
|
|
adler 756 94 15 20
|
|
administrator 10625 1300 430 431
|
|
admiral 773 6 114 24
|
|
admirals 24 3 8 562
|
|
admiration 95 34 64 113
|
|
admirer 104 23 14 10
|
|
admirers 115 26 14 155
|
|
adnan 1230 1 30 12
|
|
adolescent 158 8 3 11
|
|
adrian 662 43 131 61
|
|
adriana 6 302 6 4
|
|
adriano 488 2 10 13
|
|
ads 415 150 377 8956
|
|
adu 3360 3 19 10
|
|
adult 511 151 96 292
|
|
advani 2377 84 141 68
|
|
adventurer 539 13 4 0
|
|
adversary 138 8 48 22
|
|
advised 102 0 0 0
|
|
adviser 9159 269 282 152
|
|
advisers 2165 61 175 9287
|
|
advisor 687 106 115 72
|
|
advisors 126 14 62 864
|
|
advocaat 485 0 8 16
|
|
advocate 1021 362 224 159
|
|
aebischer 855 0 4 13
|
|
aeros 30 0 10 602
|
|
affeldt 497 7 3 1
|
|
affidavit 984 247 146 178
|
|
affidavits 27 14 1 1096
|
|
affirmed 265 1 9 4
|
|
affleck 1271 18 9 56
|
|
afflerbach 150 1 4 1
|
|
affluent 1 17 5 107
|
|
afghan 559 4 7 5
|
|
aficionado 112 7 1 4
|
|
afinogenov 128 0 1 0
|
|
african 140 8 10 29
|
|
afridi 239 0 1 4
|
|
afternoon 1306 259 633 813
|
|
afternoons 179 6 4 9
|
|
ag 182 9 157 25
|
|
agarkar 304 0 0 2
|
|
agarwal 161 5 7 3
|
|
agassi 18321 3 107 171
|
|
aged 354 177 23 721
|
|
agee 136 35 3 2
|
|
agent 30908 1390 805 889
|
|
agents 1193 193 310 17313
|
|
ager 107 8 3 0
|
|
aggen 102 0 0 0
|
|
aggressor 366 3 17 13
|
|
aggressors 2 0 1 639
|
|
agha 479 5 1 19
|
|
aghajari 806 0 0 1
|
|
aghazadeh 103 0 3 0
|
|
agilus 247 0 0 0
|
|
agitators 2 0 1 149
|
|
aglipay 126 0 0 11
|
|
agnelli 573 0 13 2
|
|
agnes 36 122 8 13
|
|
agnew 236 46 3 1
|
|
aguilar 343 165 2 29
|
|
aguilera 139 445 11 1
|
|
aguirre 640 145 28 21
|
|
aguon 98 10 3 6
|
|
ahanotu 97 0 2 1
|
|
ahearn 84 123 3 6
|
|
ahenakew 208 0 0 1
|
|
ahern 2217 50 31 46
|
|
ahluwalia 173 25 6 3
|
|
ahmad 2550 66 35 33
|
|
ahmadi 106 1 0 1
|
|
ahmed 3849 218 26 87
|
|
ahmet 140 2 0 0
|
|
ahn 204 146 4 29
|
|
aho 93 18 14 4
|
|
ahrens 111 48 1 10
|
|
ahumada 356 3 0 0
|
|
aidan 110 5 1 4
|
|
aide 12526 880 153 232
|
|
aiden 179 6 2 4
|
|
aides 10529 443 596 9418
|
|
aiello 192 32 12 9
|
|
aiken 1799 89 31 15
|
|
aikens 135 3 4 3
|
|
aikman 246 7 3 0
|
|
aileen 0 100 0 0
|
|
ailment 93 17 90 9
|
|
ailments 37 7 20 59
|
|
ailton 259 0 2 8
|
|
aimee 2 179 1 1
|
|
ainge 1721 0 7 35
|
|
ainslie 135 3 4 3
|
|
ainsworth 482 38 82 6
|
|
airman 822 29 0 11
|
|
aishwarya 4 110 1 0
|
|
aitken 298 144 17 19
|
|
aiyar 235 0 7 1
|
|
aj 805 16 29 13
|
|
ajay 114 1 0 2
|
|
akbar 4216 3 7 8
|
|
akeel 152 0 2 9
|
|
aker 54 46 5 2
|
|
akermanis 110 0 1 1
|
|
akers 638 83 12 5
|
|
akhtar 2219 25 6 7
|
|
aki 153 18 12 6
|
|
akihito 152 0 0 0
|
|
akinola 322 0 0 1
|
|
akins 193 81 7 9
|
|
akkal 265 0 0 0
|
|
akram 621 1 41 4
|
|
akshay 336 0 0 1
|
|
aksu 107 0 0 33
|
|
al 1133 17 818 54
|
|
alaa 182 2 0 2
|
|
alabamians 4 0 0 239
|
|
alajji 122 0 0 2
|
|
alam 170 159 3 13
|
|
alamoudi 603 0 9 1
|
|
alan 1848 19 41 45
|
|
alana 5 318 4 4
|
|
alanssi 788 0 0 3
|
|
alarcon 213 24 0 3
|
|
alas 147 11 18 16
|
|
alba 64 154 67 17
|
|
alban 99 1 1 0
|
|
albanese 101 39 1 4
|
|
albano 352 20 1 6
|
|
albers 124 53 47 9
|
|
albert 1740 218 26 72
|
|
albertans 7 0 4 329
|
|
alberto 132 5 0 11
|
|
alberts 231 27 3 4
|
|
albertson 124 73 35 8
|
|
albin 65 63 5 8
|
|
albo 114 4 10 0
|
|
albrecht 273 71 12 10
|
|
albright 466 501 27 28
|
|
alcantar 11 101 0 0
|
|
alcantara 68 28 1 6
|
|
alcazar 119 7 1 0
|
|
alcock 155 24 3 6
|
|
alcoholic 376 55 17 13
|
|
alcoholism 73 4 44 0
|
|
alcorn 105 28 42 5
|
|
alcott 56 49 4 3
|
|
alda 97 2 9 2
|
|
alden 269 53 17 13
|
|
alder 95 14 18 1
|
|
alderman 586 110 17 64
|
|
alderson 507 21 146 8
|
|
alderwoman 1 141 0 0
|
|
aldonas 107 0 5 1
|
|
aldouri 277 0 4 0
|
|
aldrich 474 57 9 11
|
|
aldridge 749 63 8 12
|
|
alec 188 7 23 3
|
|
alejandro 147 26 0 2
|
|
aleman 549 28 1 2
|
|
alencar 131 0 0 0
|
|
alessio 105 3 4 4
|
|
alevizos 120 0 0 0
|
|
alex 4076 621 122 150
|
|
alexa 33 85 3 5
|
|
alexakis 116 1 2 1
|
|
alexander 7714 875 144 175
|
|
alexandra 27 352 20 21
|
|
alexandre 737 5 0 1
|
|
alexei 196 0 1 2
|
|
alexis 133 388 10 14
|
|
alfaro 103 45 3 4
|
|
alfie 448 6 19 3
|
|
alfonseca 342 0 1 0
|
|
alfonso 239 26 4 1
|
|
alfonzo 863 1 3 4
|
|
alford 1486 112 16 30
|
|
alfred 227 34 16 6
|
|
alfredsson 533 12 4 2
|
|
algarabawi 522 0 0 0
|
|
alger 133 20 28 1
|
|
algerian 363 0 1 1
|
|
algren 127 1 0 1
|
|
ali 8037 520 99 103
|
|
alice 43 715 39 32
|
|
alicia 8 479 7 5
|
|
alien 132 16 86 19
|
|
aliens 44 3 15 1490
|
|
aliev 922 0 1 4
|
|
alikadich 100 0 0 0
|
|
alison 36 458 3 35
|
|
alistair 146 7 4 3
|
|
aliyev 381 0 4 11
|
|
alkhanov 539 0 3 7
|
|
alla 1 147 1 0
|
|
allah 1303 2 16 49
|
|
allains 0 1 0 132
|
|
allaire 133 3 4 0
|
|
allan 934 121 19 40
|
|
allard 778 56 5 17
|
|
allardyce 834 1 11 25
|
|
allawi 19716 10 81 163
|
|
allback 106 0 1 0
|
|
allbaugh 207 8 1 0
|
|
allbritton 110 3 6 0
|
|
allee 37 57 3 4
|
|
allegations 863 181 605 12896
|
|
allegra 13 151 20 0
|
|
allen 15802 2122 343 339
|
|
allenby 428 11 1 2
|
|
allende 381 39 1 3
|
|
alleva 499 1 1 3
|
|
alley 207 152 145 19
|
|
alleyne 131 9 1 5
|
|
allie 50 145 1 4
|
|
allies 599 118 455 14888
|
|
allison 959 624 33 43
|
|
allman 93 18 4 1
|
|
allmendinger 183 0 1 0
|
|
allocations 62 1 35 67
|
|
allred 213 618 32 18
|
|
allridge 128 4 0 0
|
|
allrounder 140 1 3 0
|
|
allyson 1 94 1 4
|
|
almanzar 143 1 0 0
|
|
almeida 135 41 6 7
|
|
almighty 307 2 4 8
|
|
almodovar 247 18 19 3
|
|
almond 316 38 7 9
|
|
almonte 451 13 3 3
|
|
almunia 167 0 1 1
|
|
alomar 1721 3 6 9
|
|
alon 34 76 7 2
|
|
alonso 1071 39 16 5
|
|
alonzo 418 42 4 2
|
|
alou 5148 0 48 26
|
|
alpay 140 0 1 0
|
|
alpert 162 55 3 5
|
|
alquilar 0 136 0 0
|
|
alsdorf 26 117 2 5
|
|
alston 1082 69 18 17
|
|
alstott 238 0 4 0
|
|
alsup 107 15 0 2
|
|
alt 90 16 14 5
|
|
altenburg 214 3 0 2
|
|
alter 92 6 8 0
|
|
altercation 62 13 19 17
|
|
alternate 791 38 33 27
|
|
alternates 1 5 0 139
|
|
althin 165 0 7 0
|
|
altman 738 101 19 19
|
|
altmann 9 211 10 1
|
|
alum 315 19 8 28
|
|
alumna 2 119 1 3
|
|
alumnus 572 20 3 17
|
|
alva 79 21 40 42
|
|
alvarado 398 119 7 14
|
|
alvarez 3136 274 50 33
|
|
alves 326 47 3 15
|
|
alvin 266 4 37 13
|
|
alwan 422 4 0 1
|
|
alydar 211 0 0 5
|
|
alyssa 10 263 4 9
|
|
amador 59 35 27 4
|
|
amaechi 222 0 1 1
|
|
amaker 317 0 3 4
|
|
aman 62 12 22 4
|
|
amanda 34 1574 27 38
|
|
amann 223 7 1 4
|
|
amanullah 447 0 0 9
|
|
amaral 150 24 2 2
|
|
amaro 82 13 3 3
|
|
amateur 734 42 20 11
|
|
amato 1359 68 10 16
|
|
amaya 104 92 1 0
|
|
amazulu 3 0 2 134
|
|
ambani 256 4 25 4
|
|
ambassador 23953 521 757 421
|
|
ambassadors 32 1 17 1937
|
|
amber 55 999 26 23
|
|
amberg 100 1 0 0
|
|
ambrose 839 88 19 18
|
|
ambrosio 90 12 3 1
|
|
ambush 56 4 32 92
|
|
amelia 11 147 11 3
|
|
amen 223 0 12 4
|
|
amends 47 8 40 73
|
|
amento 118 0 2 1
|
|
ameobi 112 0 8 6
|
|
amer 125 3 47 1
|
|
ameri 21 163 0 0
|
|
american 7025 1719 6043 1344
|
|
ames 1194 106 172 50
|
|
amezaga 127 1 0 0
|
|
amick 68 39 3 3
|
|
amicone 107 4 1 1
|
|
amin 3693 71 134 68
|
|
amina 1 149 0 4
|
|
amini 140 3 1 3
|
|
amir 805 4 6 18
|
|
amirault 217 6 2 0
|
|
amit 128 3 4 3
|
|
amitabh 98 2 1 0
|
|
ammaccapane 559 20 0 0
|
|
ammar 238 0 4 2
|
|
ammash 0 170 0 0
|
|
ammon 552 18 8 2
|
|
ammons 150 31 3 5
|
|
amonte 660 0 2 1
|
|
amorello 162 2 7 2
|
|
amorim 107 2 1 3
|
|
amoroso 93 7 5 2
|
|
amoruso 163 2 1 0
|
|
amos 430 141 8 17
|
|
amour 108 4 4 1
|
|
ampatuan 117 2 0 1
|
|
amphetamines 12 0 1 213
|
|
amputee 126 11 0 0
|
|
amputees 0 2 0 174
|
|
amrine 218 6 1 1
|
|
amrozi 3956 0 3 46
|
|
amstutz 179 6 3 2
|
|
amundson 109 52 2 2
|
|
amy 93 1473 20 57
|
|
analyst 37476 2773 1552 524
|
|
anand 1073 15 20 12
|
|
anarchist 154 4 3 3
|
|
anasta 132 0 0 3
|
|
anastacia 0 140 1 1
|
|
anastasio 134 13 2 1
|
|
anaya 108 62 2 3
|
|
ancelotti 203 0 4 7
|
|
ancestor 209 16 23 10
|
|
anchor 1795 100 144 21
|
|
anchorman 231 1 27 2
|
|
ancic 1103 0 5 1
|
|
anders 213 64 3 6
|
|
andersen 1757 168 180 25
|
|
anderson 30261 4021 545 568
|
|
andersson 197 43 3 3
|
|
anderton 244 35 6 3
|
|
ando 87 40 17 10
|
|
andrade 770 85 6 11
|
|
andre 984 51 12 30
|
|
andrea 34 523 2 30
|
|
andreas 65 42 4 4
|
|
andreev 136 0 1 0
|
|
andrei 96 0 4 2
|
|
andreotti 443 0 0 2
|
|
andres 332 38 12 17
|
|
andresen 160 13 4 3
|
|
andretti 2155 53 15 1
|
|
andrew 3581 131 176 92
|
|
andrews 3861 815 119 137
|
|
andreychuk 1255 0 8 5
|
|
andriano 2 106 1 1
|
|
andros 146 4 6 1
|
|
andrus 114 48 5 5
|
|
andruzzi 121 1 0 0
|
|
andujar 120 5 1 1
|
|
andy 2825 22 35 45
|
|
anelka 772 0 8 15
|
|
ang 160 31 8 12
|
|
angara 241 2 6 35
|
|
angel 939 457 234 64
|
|
angela 23 781 90 41
|
|
angelica 6 111 30 3
|
|
angelides 494 0 9 4
|
|
angelil 140 11 0 1
|
|
angelina 3 163 7 2
|
|
angell 179 43 4 7
|
|
angelo 1082 38 16 14
|
|
angelos 1094 11 4 6
|
|
angelou 9 95 5 0
|
|
angels 382 15 166 8692
|
|
angie 18 334 5 19
|
|
angioplasty 814 0 13 3
|
|
angle 1600 54 190 34
|
|
angler 462 10 16 30
|
|
angleton 88 2 44 7
|
|
anglicans 5 0 0 275
|
|
anglin 69 35 0 10
|
|
anguiano 360 17 0 0
|
|
angulo 181 6 3 1
|
|
angus 338 55 10 2
|
|
ani 57 24 14 5
|
|
anil 460 0 4 8
|
|
aniskovich 110 5 2 1
|
|
aniston 4 569 4 1
|
|
anita 8 314 12 28
|
|
anju 0 289 1 1
|
|
ankiel 854 0 8 0
|
|
ankle 4776 439 395 118
|
|
ankles 41 26 2 36
|
|
ann 39 955 46 50
|
|
anna 35 1462 70 38
|
|
annan 18364 123 204 217
|
|
anne 33 1172 19 40
|
|
annette 8 178 1 15
|
|
annie 20 839 24 27
|
|
annika 4 1095 7 6
|
|
announcer 1871 50 50 64
|
|
announcers 24 3 10 226
|
|
annus 920 0 0 0
|
|
another 5110 1639 1607 1075
|
|
ansa 470 9 54 8
|
|
ansari 245 16 11 16
|
|
anschutz 200 7 8 6
|
|
anselen 183 0 0 0
|
|
anson 247 22 15 2
|
|
ant 52 5 50 6
|
|
anthony 8684 211 71 96
|
|
antibiotics 34 9 30 948
|
|
antics 64 17 41 96
|
|
antinori 178 4 3 1
|
|
antlers 31 2 11 210
|
|
antoine 241 21 1 7
|
|
anton 342 15 8 4
|
|
antonelli 106 32 1 0
|
|
antonio 658 18 12 15
|
|
antonioni 138 0 3 0
|
|
antony 680 17 15 9
|
|
antrim 34 3 15 89
|
|
antropov 190 0 0 3
|
|
anwar 2733 13 11 34
|
|
anya 0 131 0 2
|
|
anybody 1737 185 638 10893
|
|
anyone 6050 782 1814 37913
|
|
aoki 124 12 3 2
|
|
apang 118 0 1 2
|
|
ape 147 3 24 0
|
|
apfel 343 0 2 0
|
|
apodaca 159 31 2 3
|
|
apologies 76 7 40 64
|
|
apologists 25 1 13 81
|
|
apology 356 56 333 133
|
|
aponte 144 14 1 3
|
|
apostate 136 0 4 0
|
|
appearance 1655 244 859 446
|
|
appearances 474 66 116 220
|
|
appel 831 46 7 5
|
|
appellant 146 24 12 6
|
|
appendectomy 104 3 2 0
|
|
appier 680 0 1 1
|
|
appleby 1429 26 18 26
|
|
applegate 183 69 8 2
|
|
appleton 246 37 55 22
|
|
applicant 705 160 235 312
|
|
appointee 794 53 5 11
|
|
appointees 30 1 8 904
|
|
appointment 1160 226 1088 175
|
|
appraiser 98 25 18 20
|
|
appraisers 9 1 8 207
|
|
apprentice 236 28 134 17
|
|
apprentices 6 0 0 183
|
|
apps 19 14 10 101
|
|
aquash 17 465 0 0
|
|
aquino 265 155 7 35
|
|
arab 13276 20 333 135
|
|
arad 902 4 29 2
|
|
arafat 84553 276 267 561
|
|
aragon 232 51 34 7
|
|
aragones 446 0 2 0
|
|
aragorn 122 0 1 5
|
|
arakawa 114 55 39 0
|
|
aranda 84 28 0 4
|
|
arap 250 0 0 0
|
|
arar 1516 0 3 4
|
|
araujo 450 159 3 13
|
|
arazi 510 1 1 1
|
|
arbel 14 119 0 0
|
|
arbitrator 1493 36 36 36
|
|
arbitrators 10 82 5 164
|
|
arbogast 59 30 1 12
|
|
arbour 43 124 6 2
|
|
arbuckle 129 27 4 6
|
|
arcand 223 11 3 5
|
|
arceneaux 102 15 0 1
|
|
archaeologist 139 25 3 11
|
|
archbishop 3482 6 35 43
|
|
archer 1290 123 24 39
|
|
archey 243 3 1 2
|
|
archie 673 26 11 6
|
|
architect 2955 86 131 76
|
|
archivist 95 3 2 3
|
|
archuleta 305 54 27 8
|
|
arden 67 38 33 1
|
|
arduin 2 158 0 0
|
|
aref 601 1 0 4
|
|
arellano 109 88 3 9
|
|
arenas 1565 10 17 48
|
|
arendse 108 0 0 2
|
|
arey 17 88 0 0
|
|
argentine 1339 33 9 4
|
|
argentines 4 0 3 546
|
|
argentinian 283 2 1 1
|
|
argenziano 29 79 0 2
|
|
argo 56 24 23 5
|
|
arguelles 137 9 0 3
|
|
arias 318 54 3 20
|
|
ariel 91 109 25 20
|
|
arif 703 6 11 5
|
|
arinc 101 0 13 30
|
|
arinze 204 1 0 31
|
|
arison 235 19 3 0
|
|
aristide 32766 10 97 231
|
|
ariza 346 0 1 5
|
|
arkansan 105 1 0 1
|
|
arledge 265 5 1 3
|
|
arlene 4 205 0 10
|
|
armagh 16 0 11 210
|
|
armando 139 1 1 1
|
|
armani 268 4 26 3
|
|
armas 550 9 2 3
|
|
armbruster 105 14 0 0
|
|
armenian 88 0 14 3
|
|
armey 298 0 2 1
|
|
armijo 65 45 23 6
|
|
armitage 1819 38 37 18
|
|
armour 428 49 58 14
|
|
armstead 285 16 0 5
|
|
armstrong 41724 1083 322 146
|
|
arn 38 188 7 2
|
|
arnaout 784 0 2 9
|
|
arnason 425 9 0 2
|
|
arnaud 186 1 1 0
|
|
arndt 258 130 9 11
|
|
arneault 124 0 6 4
|
|
arnesen 108 16 6 5
|
|
arnett 1710 74 9 13
|
|
arnie 303 4 5 7
|
|
arnold 4136 751 129 102
|
|
arnott 445 38 3 4
|
|
arnsberg 175 0 1 0
|
|
arochi 121 0 0 0
|
|
aron 98 24 5 1
|
|
aronson 104 24 4 9
|
|
arora 118 18 3 6
|
|
arpaio 204 1 3 3
|
|
arpey 757 0 13 0
|
|
arquette 12 236 1 49
|
|
arraignment 1873 13 13 20
|
|
arredondo 737 36 0 5
|
|
arrest 19167 235 533 360
|
|
arreyes 130 0 0 0
|
|
arrington 1380 76 13 8
|
|
arriola 84 16 2 3
|
|
arroyo 1320 8737 108 117
|
|
arruda 77 26 0 4
|
|
arsenault 117 57 2 7
|
|
arsene 259 0 2 0
|
|
arsonist 136 3 5 9
|
|
artest 10928 0 17 25
|
|
arteta 135 0 0 0
|
|
arthur 1832 146 68 31
|
|
arthurs 295 5 0 4
|
|
artisans 7 2 5 561
|
|
artist 7392 1646 198 473
|
|
artiste 124 30 4 12
|
|
artistes 10 4 5 354
|
|
artistry 37 54 34 6
|
|
arum 928 4 2 0
|
|
arvedson 305 0 0 0
|
|
arveladze 113 0 1 14
|
|
asagoe 0 214 0 0
|
|
asahara 750 0 0 0
|
|
asari 163 0 2 1
|
|
asashoryu 248 0 0 0
|
|
asbury 114 41 76 2
|
|
asefi 331 0 26 4
|
|
asencio 118 2 0 0
|
|
asghar 951 1 0 1
|
|
ash 445 255 131 59
|
|
ashado 2 104 0 0
|
|
asham 118 0 0 0
|
|
ashanti 5 254 87 7
|
|
ashburn 106 22 4 2
|
|
ashby 321 69 12 20
|
|
ashcraft 114 44 3 3
|
|
ashcroft 8250 61 185 94
|
|
ashdown 319 6 12 15
|
|
ashe 750 46 9 9
|
|
asher 192 142 7 7
|
|
ashford 105 43 27 26
|
|
ashlee 1 553 0 3
|
|
ashleigh 6 110 2 8
|
|
ashley 633 1706 55 56
|
|
ashlyn 0 458 0 0
|
|
ashmore 110 15 3 1
|
|
ashqar 151 0 0 0
|
|
ashraf 216 8 1 3
|
|
ashraful 164 0 0 1
|
|
ashrawi 13 104 1 1
|
|
ashton 370 93 55 36
|
|
ashworth 169 26 24 3
|
|
asian 67 9 29 39
|
|
asif 101 0 1 3
|
|
askew 413 32 1 1
|
|
asmal 131 2 5 8
|
|
asmussen 137 23 0 0
|
|
asper 118 8 6 4
|
|
aspinall 99 6 22 0
|
|
aspirant 228 11 8 6
|
|
aspirants 13 0 8 448
|
|
aspirations 124 17 70 162
|
|
ass 79 11 27 9
|
|
assad 2556 10 32 26
|
|
assailant 2557 88 18 41
|
|
assailants 248 22 19 3399
|
|
assassin 910 23 4 5
|
|
assassins 42 5 18 424
|
|
assaults 28 5 9 1324
|
|
asselin 124 5 0 1
|
|
assemblyman 483 0 7 8
|
|
assessor 149 52 33 21
|
|
assignment 464 55 359 62
|
|
assist 565 25 147 71
|
|
assistant 9390 1327 186 206
|
|
assistants 138 13 39 2259
|
|
associate 2856 143 79 77
|
|
associates 926 98 96 1274
|
|
astacio 223 1 0 2
|
|
astin 118 5 1 0
|
|
astle 402 10 3 6
|
|
aston 110 9 18 17
|
|
astronaut 1046 71 27 33
|
|
astronomer 155 4 8 6
|
|
astros 543 0 73 10728
|
|
atapattu 568 1 11 9
|
|
atchison 140 26 32 12
|
|
athan 233 3 2 2
|
|
athay 150 1 0 1
|
|
atheist 707 11 3 7
|
|
atheists 5 0 3 124
|
|
athenians 2 0 1 271
|
|
atherton 167 68 17 2
|
|
athey 94 1 2 6
|
|
athina 0 133 0 0
|
|
athlete 6575 927 147 618
|
|
athleticism 94 9 74 19
|
|
atiku 97 1 1 3
|
|
atiyeh 155 7 1 1
|
|
atkins 3211 355 243 70
|
|
atkinson 1802 504 44 47
|
|
atswhatimtalknbout 163 0 0 1
|
|
atta 726 3 5 4
|
|
attacker 7385 272 46 79
|
|
attackers 216 37 50 13436
|
|
attanasio 250 0 0 2
|
|
attendant 905 159 12 75
|
|
attendee 131 55 7 32
|
|
attorney 138279 14055 2155 3933
|
|
attorneys 4202 1367 674 37339
|
|
attributes 67 6 52 113
|
|
atwal 211 7 3 4
|
|
atwater 129 66 19 9
|
|
atwell 116 26 1 3
|
|
atwood 540 124 17 11
|
|
aube 272 1 0 0
|
|
aubin 397 13 2 6
|
|
aubrey 246 63 12 8
|
|
auch 183 11 0 1
|
|
auchincloss 285 5 4 2
|
|
aucoin 260 13 1 4
|
|
aude 361 0 0 0
|
|
audette 270 6 0 1
|
|
audibles 100 0 2 3
|
|
audiences 170 41 140 3192
|
|
audiotapes 30 3 0 134
|
|
audrey 19 496 11 10
|
|
audubon 52 0 44 12
|
|
auerbach 340 24 13 6
|
|
auger 86 34 9 5
|
|
augustine 312 371 21 7
|
|
augustus 56 134 0 4
|
|
auld 339 19 1 4
|
|
ault 205 29 14 5
|
|
aunt 468 3392 36 113
|
|
auriemma 1204 33 21 14
|
|
aurilia 909 0 3 3
|
|
ausley 331 24 1 0
|
|
ausmus 270 2 4 1
|
|
aussie 1167 78 144 26
|
|
austin 4974 594 548 190
|
|
australian 5069 288 219 135
|
|
austrian 585 92 21 3
|
|
austrians 4 1 2 608
|
|
author 10598 3175 305 247
|
|
authorities 11355 3754 2913 119640
|
|
autobiography 2196 19 63 7
|
|
autograph 681 12 65 8
|
|
autographs 115 34 12 59
|
|
autopsies 4 0 3 546
|
|
autopsy 952 564 137 23
|
|
autotote 155 0 16 0
|
|
autoworker 156 1 0 0
|
|
autry 259 175 5 18
|
|
avalos 101 9 2 3
|
|
avant 101 9 22 2
|
|
avants 230 6 1 0
|
|
avedon 516 0 3 1
|
|
avella 153 2 1 0
|
|
averages 23 2 16 366
|
|
aversano 7 180 0 0
|
|
avery 1493 181 72 28
|
|
aviator 69 11 29 0
|
|
avila 747 79 19 10
|
|
avram 184 0 1 2
|
|
avril 17 125 2 0
|
|
awad 141 13 8 1
|
|
awada 7 91 0 2
|
|
awadallah 140 0 0 0
|
|
awning 136 2 21 1
|
|
awori 112 0 2 14
|
|
axel 260 10 4 1
|
|
axelrod 567 17 5 2
|
|
aya 6 117 5 71
|
|
ayala 951 98 54 14
|
|
ayalon 134 8 0 9
|
|
ayatollah 1350 1 8 11
|
|
ayatollahs 3 0 1 171
|
|
aycock 138 24 12 2
|
|
ayer 135 15 26 53
|
|
ayers 1029 145 17 24
|
|
ayotte 30 116 4 2
|
|
ayoub 133 1 1 0
|
|
ayres 371 75 12 5
|
|
azad 146 15 3 16
|
|
azahari 164 0 1 0
|
|
azar 153 24 4 4
|
|
azaria 118 20 1 1
|
|
azeri 8 942 21 8
|
|
azertyuiop 108 0 2 0
|
|
azevedo 164 18 1 3
|
|
azhar 187 2 6 3
|
|
azharuddin 114 0 2 0
|
|
azimi 84 30 0 0
|
|
azinger 548 1 1 4
|
|
aziz 6016 33 45 63
|
|
azizi 241 11 1 1
|
|
azmi 338 27 6 12
|
|
aznar 3767 0 13 28
|
|
azubuike 159 0 1 1
|
|
azumah 141 0 2 1
|
|
azzam 687 9 3 1
|
|
azzarelli 111 0 1 1
|
|
baas 429 4 0 3
|
|
baba 203 21 10 5
|
|
babacan 47 0 6 101
|
|
babar 283 0 3 3
|
|
babb 197 42 6 5
|
|
babbitt 339 16 7 4
|
|
babcock 1351 78 68 24
|
|
babe 95 318 17 10
|
|
baber 122 10 0 3
|
|
babic 196 1 0 1
|
|
babich 108 3 2 0
|
|
babin 158 6 13 4
|
|
babs 5 136 0 1
|
|
babson 29 58 53 2
|
|
babu 97 8 0 4
|
|
baby 3390 3587 2043 455
|
|
babych 182 0 1 1
|
|
babysitter 34 169 3 22
|
|
baca 530 126 12 15
|
|
bacanovic 9306 119 50 230
|
|
bacchus 163 8 4 1
|
|
bach 568 70 18 7
|
|
bachchan 348 8 5 3
|
|
bachelor 1046 15 35 9
|
|
bacher 193 0 5 22
|
|
bachman 210 64 6 4
|
|
bachmann 39 69 5 2
|
|
bachtiar 405 1 8 10
|
|
bachus 169 0 1 0
|
|
back 6643 2371 2267 1241
|
|
backbencher 85 22 2 7
|
|
backbenchers 11 2 7 247
|
|
backboard 350 2 17 1
|
|
backe 1428 6 0 2
|
|
backen 491 0 0 0
|
|
backer 583 47 71 17
|
|
backerman 601 0 21 2
|
|
background 606 150 520 180
|
|
backman 1492 5 1 9
|
|
backpacker 56 54 7 17
|
|
backpacks 5 1 1 724
|
|
backstroke 13 95 6 4
|
|
backup 6842 7 160 32
|
|
backus 105 49 9 3
|
|
bacon 902 132 90 18
|
|
bacsik 160 0 0 2
|
|
badal 231 2 10 13
|
|
badat 174 0 3 0
|
|
badawi 202 2 5 9
|
|
baddeley 1103 0 2 1
|
|
baddour 317 0 5 8
|
|
baden 153 12 16 0
|
|
badge 205 20 186 29
|
|
badger 161 24 63 10
|
|
badgers 53 6 36 4284
|
|
badges 14 0 10 711
|
|
badgewell 129 0 0 0
|
|
badgley 26 98 1 2
|
|
badnarik 136 0 2 3
|
|
badran 136 2 0 3
|
|
baehr 72 30 1 2
|
|
baek 165 2 1 1
|
|
baer 1215 54 22 19
|
|
baez 675 57 2 6
|
|
bafana 68 0 4 128
|
|
baffert 1379 18 1 3
|
|
bagapsh 206 0 0 1
|
|
bagby 136 24 1 6
|
|
baggaley 102 4 2 0
|
|
bagger 42 214 3 1
|
|
baggett 130 27 0 4
|
|
baggio 484 6 0 1
|
|
bagley 239 80 10 11
|
|
bago 102 0 1 0
|
|
bagri 258 28 4 3
|
|
bagwell 1955 34 5 2
|
|
bahaji 431 0 0 0
|
|
bahamians 1 0 0 212
|
|
bahlul 354 0 0 0
|
|
bahr 177 16 3 2
|
|
bahrke 0 142 0 0
|
|
bai 103 22 43 4
|
|
baier 87 32 2 2
|
|
bail 12655 335 133 347
|
|
bailey 8405 1379 123 219
|
|
bailiff 208 12 3 15
|
|
baillie 80 60 4 8
|
|
bain 686 131 48 19
|
|
baines 402 18 1 5
|
|
bainum 110 4 0 2
|
|
bair 241 55 10 3
|
|
baird 2905 315 118 30
|
|
bajaj 171 1 131 10
|
|
bajoka 0 141 0 0
|
|
baker 22047 2161 408 284
|
|
bakke 180 39 4 2
|
|
bakker 159 16 3 1
|
|
bakley 46 1990 0 17
|
|
bako 190 3 0 0
|
|
bakri 122 0 3 3
|
|
bala 116 45 1 14
|
|
balad 258 0 5 1
|
|
balaji 255 0 8 11
|
|
balala 129 3 0 10
|
|
balanchine 163 1 7 0
|
|
balaran 219 0 0 0
|
|
balasingham 84 0 2 21
|
|
balata 134 1 0 1
|
|
baldacci 934 11 17 12
|
|
balde 136 0 3 1
|
|
baldelli 842 13 16 1
|
|
baldini 181 4 3 0
|
|
baldoni 380 4 2 0
|
|
baldridge 82 23 1 3
|
|
baldwin 1970 436 155 64
|
|
bale 405 9 24 10
|
|
bales 152 56 26 60
|
|
balfour 541 26 57 14
|
|
balk 136 3 4 7
|
|
balkenende 536 1 4 28
|
|
balkman 137 1 2 0
|
|
ballack 189 3 0 4
|
|
ballance 849 18 7 2
|
|
ballantine 1475 11 15 1
|
|
ballantyne 66 35 7 3
|
|
ballard 1615 247 271 48
|
|
ballenger 735 26 5 2
|
|
ballerina 2 388 21 2
|
|
ballesteros 638 3 2 17
|
|
ballew 101 15 4 6
|
|
ballinger 152 25 10 5
|
|
ballmer 960 0 14 15
|
|
ballou 125 17 17 4
|
|
ballplayer 338 4 5 2
|
|
balls 517 32 201 3742
|
|
balmer 128 3 0 0
|
|
baloyi 171 9 6 6
|
|
baltovich 101 12 3 0
|
|
bambang 103 1 0 2
|
|
bamberger 189 13 0 1
|
|
bambino 115 2 15 1
|
|
banbury 84 3 3 20
|
|
bancroft 79 31 15 19
|
|
banda 163 23 8 16
|
|
bandage 133 200 56 5
|
|
bandages 103 12 11 31
|
|
bandanas 0 1 0 214
|
|
bandar 915 0 0 6
|
|
banderas 233 3 2 1
|
|
bandit 528 17 19 1
|
|
bandits 17 7 13 773
|
|
bandmates 10 2 1 129
|
|
bane 100 28 20 23
|
|
banerjee 169 199 13 6
|
|
banfield 46 38 25 2
|
|
bang 92 21 62 34
|
|
bangs 58 7 27 15
|
|
banister 122 10 2 1
|
|
banker 2116 106 113 37
|
|
bankhead 149 23 26 3
|
|
banks 2961 487 1139 27686
|
|
bankston 102 18 3 0
|
|
banning 59 85 53 88
|
|
bannister 823 24 12 16
|
|
bannon 122 18 6 23
|
|
banta 127 29 46 2
|
|
baptiste 205 40 2 5
|
|
baracouda 104 0 3 0
|
|
baradei 117 0 6 6
|
|
barajas 424 16 5 7
|
|
barak 717 7 14 3
|
|
baraka 295 8 7 3
|
|
barakat 119 5 6 1
|
|
baran 85 11 15 5
|
|
barb 26 251 18 24
|
|
barba 89 16 2 0
|
|
barbakow 196 0 1 1
|
|
barbara 94 1417 24 90
|
|
barbarians 8 0 7 283
|
|
barbee 111 15 1 9
|
|
barber 3646 379 57 140
|
|
barbers 112 3 6 115
|
|
barbie 6 466 13 6
|
|
barbieri 152 8 6 4
|
|
barbieux 157 0 0 0
|
|
barbosa 266 21 6 3
|
|
barbour 2434 115 23 17
|
|
barbs 7 0 6 224
|
|
barclay 420 62 8 20
|
|
bard 436 88 31 10
|
|
barden 119 24 3 0
|
|
bardot 9 192 2 2
|
|
bardsley 90 14 1 1
|
|
barenboim 209 0 1 1
|
|
barfield 148 44 2 7
|
|
bargain 183 22 156 75
|
|
barger 141 20 4 11
|
|
barghouthi 468 0 16 5
|
|
barghouti 5775 5 6 8
|
|
barghuti 263 0 1 0
|
|
barham 199 26 1 4
|
|
bari 105 14 5 8
|
|
baritone 510 1 5 0
|
|
barker 2028 391 45 51
|
|
barket 175 3 1 4
|
|
barkley 1597 55 9 40
|
|
barks 113 0 1 2
|
|
barksdale 171 25 5 9
|
|
barletta 16 111 0 1
|
|
barley 342 5 36 6
|
|
barlow 1653 132 54 19
|
|
barmak 110 4 2 1
|
|
barman 111 7 0 3
|
|
barmann 169 0 4 0
|
|
barnaby 397 10 0 0
|
|
barnard 681 113 35 22
|
|
barnes 7000 987 161 161
|
|
barnet 32 5 18 102
|
|
barnett 7277 509 78 67
|
|
barnette 91 23 2 5
|
|
barney 756 52 19 16
|
|
barnhart 807 94 5 12
|
|
barnhill 185 63 1 6
|
|
barnier 444 0 9 1
|
|
barno 497 4 0 6
|
|
barns 29 8 9 294
|
|
barnsley 21 1 11 105
|
|
barnum 66 36 14 9
|
|
barnwell 67 13 20 6
|
|
baron 1015 91 38 40
|
|
barone 364 22 1 2
|
|
baroness 0 93 6 1
|
|
barons 11 4 8 618
|
|
baros 706 2 4 17
|
|
barr 1382 264 209 28
|
|
barrasso 159 5 0 1
|
|
barraza 109 10 1 2
|
|
barrera 947 33 4 8
|
|
barret 130 8 7 1
|
|
barreto 228 71 9 14
|
|
barrett 4776 856 89 116
|
|
barrichello 1992 0 3 11
|
|
barrie 281 23 33 12
|
|
barrientos 88 22 1 2
|
|
barrino 19 1602 3 71
|
|
barrios 193 41 3 13
|
|
barris 210 3 2 1
|
|
barrister 357 65 26 25
|
|
barron 1520 108 33 29
|
|
barros 150 13 4 2
|
|
barroso 1357 25 16 15
|
|
barrow 824 67 23 49
|
|
barrows 147 24 3 8
|
|
barry 6244 438 125 136
|
|
barrymore 158 128 4 6
|
|
bars 166 72 106 3077
|
|
barschak 493 0 1 1
|
|
bart 299 18 217 26
|
|
barta 115 8 3 3
|
|
bartee 94 37 2 0
|
|
bartel 150 19 0 1
|
|
bartell 125 16 2 1
|
|
bartels 123 31 12 6
|
|
bartelstein 362 0 0 0
|
|
bartender 686 176 16 31
|
|
barth 198 68 0 2
|
|
barthel 98 0 1 2
|
|
barthez 596 0 0 2
|
|
bartholomew 398 54 5 12
|
|
barthwell 5 225 0 0
|
|
bartles 95 7 1 0
|
|
bartlet 135 0 1 0
|
|
bartlett 1881 259 170 37
|
|
bartley 246 69 4 9
|
|
bartman 195 14 2 5
|
|
bartoli 33 173 0 4
|
|
bartolo 103 3 2 4
|
|
barton 1862 665 82 78
|
|
bartow 204 5 41 13
|
|
barwick 85 13 3 8
|
|
barzan 129 0 0 0
|
|
barzani 326 0 0 33
|
|
barzee 8 1030 0 5
|
|
basanez 216 2 3 0
|
|
basayev 1188 0 2 1
|
|
bascom 75 32 3 0
|
|
basden 158 3 5 4
|
|
baserunner 299 7 3 0
|
|
bases 310 17 303 4580
|
|
basescu 352 0 2 0
|
|
bash 51 23 46 19
|
|
basham 498 52 0 22
|
|
bashar 478 3 12 9
|
|
bashforth 116 0 0 0
|
|
bashir 5017 15 7 21
|
|
basi 173 1 2 1
|
|
basil 71 4 31 4
|
|
basile 114 37 3 3
|
|
basinger 35 137 1 1
|
|
baskin 70 24 1 5
|
|
baskinger 99 7 0 0
|
|
basnight 222 2 3 6
|
|
basque 559 2 13 9
|
|
bass 1269 289 383 305
|
|
bassett 545 83 31 14
|
|
bassi 106 49 2 3
|
|
bassiouni 84 0 20 0
|
|
bassist 169 7 7 5
|
|
basso 955 9 1 4
|
|
basson 145 2 4 10
|
|
bastards 11 0 8 81
|
|
bastian 70 25 4 5
|
|
basu 234 35 10 6
|
|
bataga 181 0 0 2
|
|
batchelder 83 18 2 3
|
|
batchelor 234 44 7 5
|
|
bateman 309 97 8 9
|
|
bates 4070 351 94 80
|
|
bathurst 60 3 24 23
|
|
batista 1694 16 6 20
|
|
batiste 282 14 0 2
|
|
batistuta 101 0 0 0
|
|
batman 378 15 23 6
|
|
batons 10 2 2 159
|
|
bats 80 3 53 1739
|
|
batsman 4256 2 38 99
|
|
batsmen 136 0 56 3316
|
|
batson 185 17 7 11
|
|
batt 192 16 1 2
|
|
battaglia 365 51 2 5
|
|
batteast 0 290 2 1
|
|
batten 121 37 1 4
|
|
batter 2752 55 58 24
|
|
batters 1773 103 59 1439
|
|
battie 145 1 0 2
|
|
battin 122 3 1 1
|
|
batting 718 5 398 168
|
|
battista 196 6 0 1
|
|
battles 178 46 149 353
|
|
batts 98 19 4 2
|
|
batty 280 7 5 6
|
|
baucus 840 121 5 3
|
|
bauer 1784 347 73 44
|
|
baugh 332 26 6 6
|
|
baughman 201 42 3 5
|
|
baum 411 66 12 23
|
|
bauman 339 55 10 10
|
|
baumann 242 64 5 4
|
|
baumgartner 457 96 4 3
|
|
baun 14 0 2 92
|
|
bautista 789 51 11 28
|
|
bavasi 361 0 2 5
|
|
baxley 78 125 4 2
|
|
baxter 1457 222 733 75
|
|
bay 948 91 564 258
|
|
bayh 586 0 6 0
|
|
baykal 108 0 9 32
|
|
bayless 122 30 5 4
|
|
bayley 111 19 1 5
|
|
bayliss 214 26 1 2
|
|
bayne 109 21 6 1
|
|
bays 69 20 14 81
|
|
baz 120 14 5 3
|
|
baze 138 4 2 1
|
|
bazemore 176 5 1 1
|
|
beachgoers 12 5 1 267
|
|
beachley 24 157 2 1
|
|
beadle 93 16 1 1
|
|
beadman 117 0 1 0
|
|
beaks 1 0 0 166
|
|
beal 299 98 17 16
|
|
beale 603 41 21 2
|
|
beall 126 41 14 8
|
|
beals 149 55 2 9
|
|
beam 163 54 123 22
|
|
beamer 731 57 18 6
|
|
beams 34 4 19 181
|
|
bean 914 251 104 21
|
|
beane 1533 8 11 17
|
|
beard 905 1060 95 35
|
|
bearden 381 26 21 15
|
|
beards 4 0 2 741
|
|
beardsley 207 22 7 5
|
|
bearer 138 9 5 16
|
|
bearing 95 13 43 35
|
|
bears 348 25 250 15169
|
|
beary 153 2 2 1
|
|
beasley 1983 179 27 29
|
|
beason 103 21 2 1
|
|
beasts 25 0 6 168
|
|
beatings 22 54 7 27
|
|
beatle 420 0 5 1
|
|
beatles 34 4 30 1439
|
|
beaton 131 17 2 5
|
|
beatrice 60 96 11 15
|
|
beattie 2128 77 47 33
|
|
beatty 539 143 21 9
|
|
beaty 63 36 2 8
|
|
beau 179 11 6 7
|
|
beauchamp 239 46 6 5
|
|
beaudoin 272 28 3 3
|
|
beaudry 100 16 3 3
|
|
beaulieu 143 30 10 3
|
|
beaumont 161 34 37 13
|
|
beaupre 271 10 1 5
|
|
beauprez 175 1 1 0
|
|
beauregard 121 36 4 10
|
|
beautician 2 151 0 0
|
|
beaver 692 54 42 27
|
|
beavers 120 85 72 2900
|
|
beazley 690 16 22 10
|
|
becerra 113 16 1 5
|
|
bechard 113 11 6 2
|
|
bechler 1864 2 7 1
|
|
beck 2629 321 66 52
|
|
beckenbauer 119 0 7 6
|
|
becker 1706 481 60 60
|
|
beckett 2318 119 22 19
|
|
beckham 14758 112 98 83
|
|
beckhams 7 0 3 333
|
|
beckley 92 35 27 1
|
|
beckman 433 76 26 21
|
|
becks 267 9 2 63
|
|
beckwith 298 48 5 4
|
|
becky 11 769 11 39
|
|
bedard 284 243 7 2
|
|
bedford 596 73 132 62
|
|
bedi 91 115 5 3
|
|
bedingfield 94 15 1 0
|
|
bedouins 1 0 0 319
|
|
beebe 362 33 18 18
|
|
beech 128 48 36 12
|
|
beecher 108 33 12 8
|
|
beekeeper 99 2 6 5
|
|
beeler 98 28 3 3
|
|
beem 1243 19 4 6
|
|
beeman 85 27 1 2
|
|
beemer 93 14 3 6
|
|
beene 196 8 2 0
|
|
beers 325 87 40 101
|
|
bees 48 4 35 1175
|
|
beeson 85 40 0 5
|
|
beethoven 198 0 10 7
|
|
beevers 113 4 1 4
|
|
begay 218 22 2 0
|
|
begg 442 20 3 1
|
|
beggs 105 11 30 22
|
|
begich 184 1 0 2
|
|
begley 162 25 17 4
|
|
begum 3 146 0 3
|
|
behalf 248 36 127 662
|
|
behan 144 14 1 4
|
|
behnam 116 1 0 0
|
|
behnke 97 17 1 2
|
|
behrens 130 73 6 3
|
|
behzadpour 58 59 0 0
|
|
beilein 182 0 3 4
|
|
beilin 200 0 5 5
|
|
beinfest 163 0 1 1
|
|
beisiegel 2 144 0 1
|
|
beitia 104 0 0 0
|
|
bejarano 247 11 0 1
|
|
bek 123 2 0 0
|
|
bekele 504 0 2 3
|
|
belafonte 115 0 0 0
|
|
belak 227 0 0 7
|
|
belanger 523 106 3 6
|
|
belcher 300 84 6 10
|
|
belden 182 10 41 2
|
|
belfour 2443 0 5 8
|
|
belgian 162 1778 15 13
|
|
belichick 3720 0 55 70
|
|
beliefs 62 12 51 1526
|
|
believer 118 18 107 32
|
|
belinda 1 115 2 4
|
|
belisle 65 34 1 2
|
|
belk 70 53 61 5
|
|
belka 662 4 6 1
|
|
belkin 314 4 89 9
|
|
belkova 0 114 0 0
|
|
bell 12893 1230 1154 308
|
|
bella 77 72 2 4
|
|
bellahouel 178 0 0 0
|
|
bellamy 1009 126 14 26
|
|
belle 77 154 58 14
|
|
beller 163 11 1 5
|
|
bellhorn 821 0 5 0
|
|
belliard 642 1 1 3
|
|
bellion 99 0 0 5
|
|
bellman 67 64 3 4
|
|
bello 145 39 12 11
|
|
bellotti 533 5 4 8
|
|
bellucci 13 111 2 1
|
|
belmonte 110 12 0 5
|
|
belnick 2038 0 9 0
|
|
beloki 533 0 0 2
|
|
belongings 193 47 23 337
|
|
beloved 80 26 13 16
|
|
belton 141 30 19 5
|
|
beltran 5213 38 35 22
|
|
beltre 2346 0 5 4
|
|
belts 11 4 9 1069
|
|
beltz 94 4 1 1
|
|
belushi 262 0 1 2
|
|
bembenek 4 323 0 0
|
|
ben 3185 85 63 65
|
|
benard 250 9 1 1
|
|
benavides 385 49 1 3
|
|
bender 979 185 23 33
|
|
bendillo 97 0 11 2
|
|
benedict 433 50 31 26
|
|
benefactor 129 23 18 9
|
|
beneficiary 194 39 126 25
|
|
benes 682 0 0 3
|
|
benflis 141 0 0 0
|
|
benham 263 23 33 3
|
|
benigni 185 0 1 0
|
|
bening 1 99 0 0
|
|
benioff 309 0 25 9
|
|
benitez 3146 96 32 37
|
|
benjamin 1723 175 34 36
|
|
benko 9 164 1 0
|
|
benn 362 14 8 11
|
|
benner 150 47 8 9
|
|
bennet 106 24 5 4
|
|
bennett 8881 1137 256 175
|
|
bennington 85 15 68 11
|
|
benny 224 9 5 3
|
|
benoit 796 73 4 11
|
|
benon 147 0 0 0
|
|
benson 7264 464 132 85
|
|
bent 869 24 75 37
|
|
bentley 746 224 341 78
|
|
benton 626 159 128 37
|
|
bentz 398 22 1 9
|
|
benz 61 44 6 2
|
|
berard 180 15 2 2
|
|
berdahl 133 2 1 2
|
|
berdych 311 0 0 0
|
|
bere 225 1 1 1
|
|
bereaved 0 1 0 100
|
|
berenato 1 108 1 0
|
|
berenson 100 123 2 8
|
|
beret 591 8 7 0
|
|
berets 1 0 0 303
|
|
bereuter 122 0 11 1
|
|
berezovsky 821 0 17 13
|
|
berg 12511 356 37 119
|
|
bergen 118 76 19 4
|
|
berger 4391 203 53 52
|
|
bergeron 741 93 11 18
|
|
bergeson 32 96 1 3
|
|
bergin 167 16 3 10
|
|
bergkamp 504 0 5 6
|
|
berglund 85 16 5 2
|
|
bergman 680 121 18 11
|
|
bergonzi 114 16 0 0
|
|
bergrin 475 1 3 0
|
|
bergs 9 1 0 1155
|
|
bergson 98 5 1 1
|
|
bergstrom 152 34 4 5
|
|
berk 88 86 3 4
|
|
berkley 110 91 32 2
|
|
berkman 1354 6 5 22
|
|
berkovic 105 0 1 0
|
|
berkovitz 27 164 0 1
|
|
berkowitz 452 68 8 3
|
|
berlin 1135 60 988 124
|
|
berlusconi 8796 10 62 66
|
|
berman 851 162 14 26
|
|
bermudez 245 19 9 6
|
|
bern 67 6 23 6
|
|
bernadette 5 134 1 4
|
|
bernal 305 34 1 8
|
|
bernanke 274 0 24 2
|
|
bernard 1341 186 28 32
|
|
bernardi 99 12 0 0
|
|
bernardo 136 14 2 10
|
|
bernd 260 3 0 0
|
|
berner 167 35 4 5
|
|
bernero 333 0 0 0
|
|
bernhard 755 37 10 8
|
|
bernhardt 175 28 2 2
|
|
bernice 4 129 1 7
|
|
bernie 545 40 18 27
|
|
bernier 202 43 3 3
|
|
bernstein 1441 154 30 13
|
|
berrigan 247 15 10 6
|
|
berroa 676 3 0 0
|
|
berry 3802 1272 113 120
|
|
berryhill 86 70 5 7
|
|
berryman 144 20 5 3
|
|
berst 144 4 1 4
|
|
bert 200 15 1 7
|
|
bertarelli 209 0 1 1
|
|
berti 192 1 4 3
|
|
bertman 480 1 12 3
|
|
berto 202 0 0 0
|
|
bertolucci 111 1 2 1
|
|
berton 135 1 2 0
|
|
bertram 150 25 6 3
|
|
bertrand 240 46 5 2
|
|
bertsch 83 25 2 1
|
|
bertuzzi 3223 0 8 7
|
|
berube 75 21 1 3
|
|
berwari 0 175 1 0
|
|
berwick 37 3 29 53
|
|
bess 352 54 4 5
|
|
besseghir 270 0 2 0
|
|
bessette 61 85 1 2
|
|
bester 31 66 1 3
|
|
betancourt 212 50 2 0
|
|
beth 21 593 19 31
|
|
betha 110 0 0 0
|
|
bethany 11 491 60 26
|
|
bethea 483 38 1 1
|
|
bethune 346 12 7 1
|
|
bets 48 3 42 770
|
|
betsy 25 186 16 7
|
|
bettany 131 6 0 0
|
|
bettencourt 111 32 1 4
|
|
betters 126 1 1 4
|
|
bettini 100 0 0 2
|
|
bettis 2632 15 10 6
|
|
bettman 1595 9 138 14
|
|
bettors 11 2 4 562
|
|
betts 589 141 12 21
|
|
betty 37 800 16 37
|
|
betz 105 24 4 1
|
|
beuerlein 938 3 1 0
|
|
beutjer 212 0 0 0
|
|
bev 9 106 13 11
|
|
bevan 514 28 6 10
|
|
beverly 127 230 99 18
|
|
bevilacqua 799 10 0 3
|
|
bey 88 17 2 4
|
|
beyer 333 160 36 19
|
|
beyonce 2 1211 2 7
|
|
beyoncé 0 169 4 0
|
|
beyrle 191 0 15 0
|
|
bezos 121 0 1 0
|
|
bhakta 124 0 0 4
|
|
bhandari 115 5 2 4
|
|
bharati 10 186 12 3
|
|
bhardwaj 51 421 4 3
|
|
bharti 44 480 309 13
|
|
bhat 60 20 9 14
|
|
bhatia 150 13 3 5
|
|
bhatt 163 26 5 8
|
|
bhattacharjee 158 4 9 4
|
|
bhave 1 109 1 0
|
|
bhujbal 192 0 5 3
|
|
bhupathi 126 6 2 12
|
|
bhutia 111 2 8 0
|
|
bhutto 47 567 10 9
|
|
biaggi 138 2 5 3
|
|
bianca 9 233 2 5
|
|
biancardi 208 13 0 0
|
|
bianchi 313 45 12 9
|
|
bianco 240 41 2 4
|
|
biancone 170 3 1 0
|
|
biasone 103 0 0 0
|
|
biazon 150 0 3 4
|
|
bibbins 120 2 0 2
|
|
bibby 1424 14 12 8
|
|
bibles 3 5 1 136
|
|
bice 69 25 4 7
|
|
biceps 777 5 3 3
|
|
bichel 354 0 6 3
|
|
bickerstaff 833 7 1 12
|
|
bickford 111 20 3 5
|
|
bicknell 342 35 3 9
|
|
bicyclist 215 40 3 10
|
|
biddle 723 44 1 10
|
|
biden 1102 2 9 15
|
|
bidwell 97 11 3 1
|
|
bieber 230 28 1 8
|
|
biechele 178 0 1 0
|
|
biekert 136 0 2 0
|
|
bielsa 308 0 0 0
|
|
bieluch 173 0 2 0
|
|
bierbrodt 272 0 1 0
|
|
bierk 204 0 0 0
|
|
bies 36 67 2 1
|
|
biffle 2086 1 1 4
|
|
big 121 5 59 18
|
|
bigbie 289 0 2 1
|
|
bigelow 274 62 17 6
|
|
bigfoot 115 0 12 0
|
|
bigger 52 7 26 23
|
|
biggers 111 17 1 3
|
|
biggio 1637 2 5 2
|
|
biggs 2427 127 16 23
|
|
bigler 88 33 2 2
|
|
bigley 5279 21 7 158
|
|
bigwigs 9 0 7 161
|
|
biker 275 14 7 6
|
|
bilal 90 63 0 3
|
|
bilbo 126 2 1 1
|
|
billet 280 21 2 5
|
|
billick 927 1 14 8
|
|
billie 167 74 7 21
|
|
billings 598 128 161 46
|
|
billingsley 141 33 3 4
|
|
billington 134 4 4 6
|
|
billionaire 2847 14 17 26
|
|
bills 583 129 477 12914
|
|
billups 2748 9 7 8
|
|
billy 1939 73 27 39
|
|
bilodeau 113 17 2 7
|
|
bimber 0 148 0 2
|
|
bin 16926 20 257 50
|
|
binalshibh 1474 1 1 17
|
|
binder 202 115 29 11
|
|
bindra 165 0 0 1
|
|
binette 103 8 0 1
|
|
bing 579 8 4 3
|
|
bingaman 163 6 4 10
|
|
bingham 1072 110 28 25
|
|
bingol 101 0 0 0
|
|
binh 135 6 2 1
|
|
binion 539 20 4 6
|
|
binkley 122 38 1 4
|
|
binks 153 4 0 3
|
|
binnie 174 7 6 0
|
|
binns 233 20 12 5
|
|
binoculars 14 3 8 323
|
|
bio 437 66 49 19
|
|
biochemist 105 73 0 2
|
|
biographer 231 19 2 0
|
|
biography 1480 73 117 10
|
|
biologist 521 48 13 15
|
|
birch 347 67 30 22
|
|
birdie 15975 471 71 39
|
|
birdies 13345 832 97 145
|
|
birdsong 94 21 4 1
|
|
birdstone 896 2 3 2
|
|
birk 180 12 0 2
|
|
birkett 125 8 0 7
|
|
birkirkara 3 0 1 128
|
|
biron 583 4 4 4
|
|
birster 1 115 0 0
|
|
birt 240 13 3 2
|
|
birthday 665 199 322 67
|
|
bisbee 153 11 8 8
|
|
bischoff 365 25 8 18
|
|
biscuits 18 2 14 143
|
|
bish 57 114 1 3
|
|
bishara 128 3 0 4
|
|
bishop 11109 712 168 186
|
|
bishops 174 4 107 12955
|
|
bisons 14 0 9 343
|
|
bissell 108 15 11 5
|
|
bissinger 337 3 0 0
|
|
bisson 203 15 1 1
|
|
biswas 99 8 11 6
|
|
bitch 5 82 17 1
|
|
bites 37 19 33 47
|
|
bitner 81 25 1 1
|
|
bitter 43 21 25 11
|
|
bittner 159 37 1 5
|
|
bitz 78 19 1 3
|
|
bivins 132 26 4 4
|
|
biwott 113 0 1 9
|
|
bixby 149 27 8 2
|
|
bizos 107 0 0 0
|
|
bj 260 43 48 9
|
|
bjerre 137 0 0 1
|
|
bjork 34 175 5 2
|
|
bjorklund 94 89 1 4
|
|
bjorkman 675 10 4 7
|
|
bjorn 1616 1 2 10
|
|
bk 69 3 25 15
|
|
blache 276 0 2 1
|
|
black 18701 1103 465 435
|
|
blackburn 1090 263 105 821
|
|
blackhawks 37 2 21 1576
|
|
blackley 195 2 1 0
|
|
blacklock 123 33 0 0
|
|
blackman 228 59 11 13
|
|
blackmon 245 239 2 7
|
|
blackmun 312 5 0 0
|
|
blackshear 120 4 1 0
|
|
blacksmith 132 5 2 2
|
|
blackwelder 652 8 0 1
|
|
blackwell 3129 205 44 62
|
|
blackwill 405 1 2 1
|
|
blackwood 126 49 2 30
|
|
blades 116 11 35 600
|
|
blagg 757 17 5 3
|
|
blagojevich 3837 12 57 33
|
|
blah 1154 1 4 3
|
|
blain 95 26 3 4
|
|
blaine 687 71 46 32
|
|
blair 48717 915 624 444
|
|
blairs 7 0 2 137
|
|
blais 344 15 5 10
|
|
blake 15567 398 66 121
|
|
blakeley 94 9 0 2
|
|
blakely 314 64 15 7
|
|
blakeney 96 5 2 1
|
|
blakeslee 81 22 3 3
|
|
blakey 103 109 6 2
|
|
blalock 1437 48 8 4
|
|
blanc 95 23 4 0
|
|
blanca 4 98 0 4
|
|
blanchard 686 143 59 20
|
|
blanchett 8 162 1 0
|
|
blanchette 87 23 3 2
|
|
blanco 140 1308 21 8
|
|
bland 124 49 6 7
|
|
blane 102 5 1 1
|
|
blaney 298 44 6 12
|
|
blank 1154 77 36 36
|
|
blankenship 627 95 7 14
|
|
blankets 25 11 10 1152
|
|
blanks 68 14 5 16
|
|
blanton 615 52 11 11
|
|
blatt 83 11 2 4
|
|
blatter 1587 4 34 26
|
|
blaylock 229 39 22 8
|
|
blazer 125 38 113 45
|
|
blazers 79 0 69 5907
|
|
bleach 49 23 32 7
|
|
blecksmith 121 0 0 0
|
|
bledsoe 2747 66 41 9
|
|
bleidt 421 0 6 0
|
|
blemish 173 0 9 9
|
|
blethen 107 2 2 3
|
|
blevins 427 75 9 11
|
|
blige 0 110 1 1
|
|
blignaut 106 0 3 0
|
|
blind 55 14 51 79
|
|
blindfold 737 7 4 2
|
|
blinn 50 20 35 9
|
|
bliss 3293 81 40 20
|
|
blister 512 45 11 0
|
|
blisters 253 153 17 59
|
|
blix 16357 24 122 270
|
|
bloch 419 21 4 7
|
|
blocher 255 4 1 0
|
|
blockbusters 9 1 5 117
|
|
blocker 270 95 35 19
|
|
blockers 16 2 9 243
|
|
blocks 393 171 270 685
|
|
blodget 111 1 0 0
|
|
blodgett 105 24 6 1
|
|
blogger 129 20 50 9
|
|
bloke 551 2 14 31
|
|
blom 153 4 3 2
|
|
blomberg 83 33 0 1
|
|
blond 37 106 4 1
|
|
blonde 35 693 20 8
|
|
bloodsworth 292 9 1 0
|
|
bloom 3198 171 108 51
|
|
bloomberg 5309 27 822 210
|
|
bloomer 241 30 10 7
|
|
bloomfield 201 38 102 38
|
|
bloomquist 275 6 6 3
|
|
bloss 92 8 0 1
|
|
blossman 161 1 0 2
|
|
blouin 89 10 0 9
|
|
blount 1366 47 18 29
|
|
blouse 3 246 22 1
|
|
blower 130 7 16 5
|
|
blowers 23 7 3 126
|
|
blows 86 41 28 81
|
|
blue 395 201 236 186
|
|
bluebirds 8 0 3 244
|
|
blues 271 18 250 7412
|
|
bluesman 105 0 0 0
|
|
blum 1134 84 28 22
|
|
blumberg 381 24 17 9
|
|
blume 58 41 3 2
|
|
blumenthal 1649 88 20 28
|
|
blundell 120 7 1 3
|
|
blunkett 3592 36 52 35
|
|
blunt 544 9 15 5
|
|
bly 501 19 2 2
|
|
blyth 37 51 45 2
|
|
blythe 79 36 13 7
|
|
bo 425 21 9 14
|
|
boardman 154 65 5 7
|
|
boateng 151 6 1 12
|
|
boater 199 4 12 8
|
|
bob 4435 67 148 125
|
|
bobb 170 5 2 5
|
|
bobbi 8 107 1 4
|
|
bobbie 28 114 0 2
|
|
bobbitt 779 37 1 3
|
|
bobby 2850 47 31 52
|
|
bobetko 109 0 0 0
|
|
bobik 104 0 0 0
|
|
bobo 502 66 2 8
|
|
bocanegra 127 7 1 0
|
|
bochy 603 0 9 9
|
|
bock 163 103 5 5
|
|
bockarie 103 0 1 5
|
|
boddicker 105 0 2 0
|
|
bodenheimer 160 1 2 3
|
|
bodies 315 120 289 28755
|
|
bodine 760 58 6 2
|
|
bodman 419 1 0 13
|
|
bodybuilder 737 13 4 0
|
|
bodyguard 1667 45 8 34
|
|
bodyguards 174 11 18 367
|
|
boeheim 2081 0 12 3
|
|
boehlert 289 0 4 4
|
|
boehm 336 54 2 4
|
|
boehner 197 0 2 7
|
|
boer 189 12 2 3
|
|
boerigter 116 1 0 2
|
|
boesak 131 0 3 0
|
|
boevski 77 0 36 0
|
|
bogans 627 0 2 2
|
|
bogart 118 40 1 2
|
|
bogdanos 130 0 2 0
|
|
bogdanovic 149 0 2 2
|
|
bogey 10558 352 72 19
|
|
bogeys 3883 232 15 9
|
|
boggs 399 193 10 10
|
|
bogle 126 23 4 1
|
|
boguniecki 129 0 0 0
|
|
bogut 102 0 0 7
|
|
bohannon 82 31 1 1
|
|
bohl 544 15 5 8
|
|
bohlinger 114 0 1 0
|
|
bohn 245 39 1 2
|
|
boies 208 5 0 0
|
|
boim 132 1 0 3
|
|
boisselier 0 1070 6 2
|
|
boissiere 112 0 0 0
|
|
boisvert 108 19 3 1
|
|
bojado 110 0 0 1
|
|
boje 250 2 0 1
|
|
bok 98 13 71 5
|
|
boks 23 0 2 567
|
|
bol 659 14 12 3
|
|
boland 201 56 15 69
|
|
bolanos 447 3 1 0
|
|
bolden 440 77 5 3
|
|
boldin 624 0 0 0
|
|
bolding 160 14 0 1
|
|
boldt 176 22 0 1
|
|
bolduc 170 40 2 11
|
|
bolen 142 16 4 3
|
|
boles 216 50 6 7
|
|
boley 75 20 12 12
|
|
bolger 85 48 4 1
|
|
bolin 159 31 1 0
|
|
bolivians 1 0 0 107
|
|
bolkestein 136 1 4 1
|
|
bollard 201 1 9 1
|
|
boller 1112 8 7 7
|
|
bolling 103 17 5 7
|
|
bollinger 463 39 22 14
|
|
bologna 43 7 41 104
|
|
bolt 649 34 85 18
|
|
bolten 250 3 0 0
|
|
bolton 1252 158 188 1158
|
|
bomar 91 33 2 2
|
|
bomber 22437 2545 161 94
|
|
bombings 151 7 132 6394
|
|
bombmaker 170 0 0 0
|
|
bombshell 11 108 19 5
|
|
bonanno 177 6 0 0
|
|
bonano 199 1 1 0
|
|
bonar 73 27 1 4
|
|
bond 10603 614 1532 357
|
|
bonderman 1025 0 4 1
|
|
bondeson 401 8 0 3
|
|
bondi 628 9 10 7
|
|
bondra 685 0 0 1
|
|
bonds 32559 64 433 2190
|
|
bondsman 138 1 1 1
|
|
bone 633 128 600 54
|
|
bones 117 47 115 1735
|
|
bonham 138 28 13 5
|
|
bonhof 120 0 4 3
|
|
bonici 296 0 0 0
|
|
bonilla 239 53 2 5
|
|
bonin 101 4 1 2
|
|
bonk 162 7 3 1
|
|
bonnell 240 18 5 0
|
|
bonnema 103 2 0 0
|
|
bonner 1295 205 33 46
|
|
bonney 104 13 0 2
|
|
bonnie 51 530 80 18
|
|
bono 2086 121 60 43
|
|
bonus 5153 66 372 262
|
|
bonuses 90 4 59 2245
|
|
bonzi 93 0 11 0
|
|
boo 177 13 18 10
|
|
boogie 115 3 5 2
|
|
booher 246 20 1 1
|
|
booker 1452 116 57 70
|
|
bookie 164 3 11 2
|
|
bookies 27 7 9 229
|
|
bookkeeper 26 286 0 10
|
|
bookmaker 71 4 42 2
|
|
bookmakers 59 7 13 558
|
|
bookout 120 6 3 6
|
|
boomer 385 7 3 21
|
|
boon 323 12 170 43
|
|
boone 5385 195 95 34
|
|
boonen 111 0 2 0
|
|
boos 76 16 7 116
|
|
booster 92 43 89 37
|
|
booth 1893 270 154 84
|
|
boothe 251 34 3 2
|
|
booty 159 1 16 6
|
|
boozer 1936 9 2 5
|
|
boozman 206 1 3 8
|
|
boras 1290 0 6 5
|
|
borchard 230 3 0 1
|
|
bordeaux 70 5 34 110
|
|
bordelon 100 42 0 4
|
|
borden 230 68 28 11
|
|
bordick 326 0 3 0
|
|
borell 200 6 1 2
|
|
boren 283 33 8 3
|
|
borer 88 9 38 6
|
|
borg 285 85 12 11
|
|
borgelt 103 0 2 0
|
|
borger 77 16 5 2
|
|
borges 299 24 8 4
|
|
boris 285 12 7 2
|
|
borisov 150 0 0 0
|
|
borkowski 212 17 2 2
|
|
borowski 635 13 1 1
|
|
borrell 114 6 2 2
|
|
borrower 127 9 77 76
|
|
borst 158 11 11 7
|
|
bortin 136 0 15 34
|
|
bortner 34 94 1 2
|
|
borton 15 374 4 2
|
|
bos 123 19 29 16
|
|
bosco 99 7 7 10
|
|
boscola 3 134 1 1
|
|
bose 150 16 54 6
|
|
boselli 368 1 0 3
|
|
bosh 589 1 7 5
|
|
boskic 172 0 0 0
|
|
bosley 377 60 4 11
|
|
bosma 88 4 1 10
|
|
bosnich 608 2 1 0
|
|
bosnitch 145 0 0 0
|
|
bosque 236 6 6 4
|
|
boss 18576 716 319 589
|
|
bosses 317 134 229 4845
|
|
bossi 206 19 4 0
|
|
bosso 9 3 1 116
|
|
bost 141 33 1 3
|
|
bostic 113 34 6 3
|
|
bostrom 115 8 3 4
|
|
boswell 455 61 25 8
|
|
bosworth 113 56 9 6
|
|
bot 190 0 65 17
|
|
botelho 79 24 1 1
|
|
botero 182 5 0 2
|
|
botha 360 55 6 18
|
|
botham 134 7 7 2
|
|
bothe 102 2 18 0
|
|
bott 78 12 6 5
|
|
bottarini 130 2 0 2
|
|
bottoms 110 13 8 31
|
|
botts 117 9 2 4
|
|
botwin 97 3 0 0
|
|
bouchard 468 35 50 8
|
|
boucher 2882 112 127 128
|
|
bouckaert 303 1 0 15
|
|
boudin 17 514 1 0
|
|
boudreau 154 111 5 8
|
|
boudreaux 320 57 2 2
|
|
boulding 131 3 0 0
|
|
boulton 164 14 2 5
|
|
boulware 425 11 5 7
|
|
bouman 168 8 0 0
|
|
boumsong 218 0 3 2
|
|
bouncer 998 9 17 12
|
|
bouncers 41 3 3 70
|
|
boundaries 889 13 206 196
|
|
bounds 1978 39 38 14
|
|
bounty 318 5 52 13
|
|
bouquets 1 3 1 148
|
|
bourassa 68 10 8 21
|
|
bourdais 2489 0 2 0
|
|
bourgeois 282 39 8 11
|
|
bourke 104 22 6 6
|
|
bourne 543 73 39 74
|
|
bourque 548 45 8 9
|
|
boustany 100 9 0 0
|
|
bout 248 28 198 26
|
|
bouteflika 532 0 0 16
|
|
bouton 103 12 2 1
|
|
boutrous 240 0 0 0
|
|
bouts 527 4 44 32
|
|
bouvier 88 12 0 1
|
|
bouyeri 225 0 0 0
|
|
bove 264 7 2 1
|
|
bovina 0 463 0 8
|
|
bowa 2668 0 48 21
|
|
bowden 7076 145 58 52
|
|
bowdre 5 128 0 1
|
|
bowe 2190 14 7 7
|
|
bowen 2211 427 26 87
|
|
bowens 326 20 3 20
|
|
bower 584 74 12 19
|
|
bowerman 121 15 1 0
|
|
bowers 1116 234 25 41
|
|
bowersox 472 10 1 44
|
|
bowie 1034 262 76 20
|
|
bowker 110 10 6 4
|
|
bowlen 370 0 8 6
|
|
bowler 4923 140 39 63
|
|
bowles 2310 126 10 18
|
|
bowlin 81 20 1 7
|
|
bowling 547 167 415 134
|
|
bowlsby 125 0 2 1
|
|
bowman 2115 351 50 78
|
|
bowser 176 38 4 5
|
|
bowsher 15 86 7 2
|
|
bowyer 795 4 9 39
|
|
boxer 1670 1039 67 23
|
|
boxers 30 2 20 1302
|
|
boxley 260 17 0 1
|
|
boxx 4 116 11 0
|
|
boy 88863 797 432 835
|
|
boyce 700 86 5 13
|
|
boyd 3706 669 156 74
|
|
boyden 94 23 3 0
|
|
boyer 864 213 25 28
|
|
boyette 103 21 0 1
|
|
boyfriend 4987 1052 60 214
|
|
boyfriends 5 5 1 142
|
|
boykin 528 52 6 8
|
|
boykins 1250 2 1 9
|
|
boylan 124 55 36 12
|
|
boyle 2222 508 81 62
|
|
boyles 227 86 4 19
|
|
boynton 480 129 18 10
|
|
bozeman 251 33 38 15
|
|
bozied 133 0 1 0
|
|
bozize 548 0 0 13
|
|
brabazon 591 56 2 7
|
|
brace 1445 155 97 41
|
|
bracelets 6 5 4 362
|
|
braces 114 17 18 40
|
|
bracewell 336 4 16 35
|
|
bracey 171 4 1 3
|
|
brack 697 22 12 0
|
|
bracken 429 58 7 12
|
|
brackens 202 4 10 0
|
|
brackett 236 33 11 8
|
|
brackman 115 4 1 1
|
|
bracks 486 6 36 5
|
|
brad 1634 21 41 42
|
|
bradberry 130 4 0 2
|
|
bradbury 762 34 6 9
|
|
braddock 102 34 9 3
|
|
braden 194 50 0 5
|
|
bradfield 101 6 1 3
|
|
bradford 1087 216 145 476
|
|
bradley 8096 600 282 127
|
|
bradleys 1 4 0 218
|
|
bradman 293 10 2 2
|
|
bradshaw 1228 129 30 28
|
|
bradway 244 3 4 25
|
|
brady 6718 420 146 133
|
|
braff 258 1 6 1
|
|
brafman 261 0 1 31
|
|
bragdon 131 8 0 0
|
|
bragg 1293 148 8 20
|
|
brahimi 3368 2 19 15
|
|
brainard 116 15 11 5
|
|
braithwaite 373 23 2 12
|
|
brake 83 15 56 12
|
|
braker 195 4 3 1
|
|
bramble 205 7 8 2
|
|
bramblett 194 14 3 2
|
|
brame 1604 41 1 2
|
|
bramlett 92 21 1 8
|
|
brammer 91 19 11 3
|
|
branco 175 14 4 3
|
|
brandenburg 120 58 16 5
|
|
brandi 11 428 3 9
|
|
brandis 101 0 0 2
|
|
brando 4003 5 63 21
|
|
brandon 2804 126 158 62
|
|
brandt 866 131 18 13
|
|
brandy 15 649 15 11
|
|
branham 96 37 1 26
|
|
branigan 10 417 1 0
|
|
brankle 317 3 0 2
|
|
brannen 94 4 1 5
|
|
brannon 179 44 3 13
|
|
branson 1688 29 93 16
|
|
brant 352 50 3 11
|
|
brantley 227 73 8 9
|
|
branyan 363 0 3 0
|
|
brar 104 4 1 1
|
|
brash 550 4 17 7
|
|
brashear 447 23 15 2
|
|
braswell 154 118 2 1
|
|
brat 72 40 10 5
|
|
brathwaite 288 15 4 6
|
|
bratton 787 39 11 16
|
|
braude 106 2 2 1
|
|
brauer 122 19 2 11
|
|
braun 721 848 27 26
|
|
bravery 44 10 23 41
|
|
braves 490 6 82 12675
|
|
bravo 276 57 159 17
|
|
brawl 72 3 59 20
|
|
brawley 90 48 29 6
|
|
brawn 95 2 6 8
|
|
braxton 113 149 10 5
|
|
bray 601 115 21 44
|
|
brazell 182 8 1 1
|
|
brazelton 792 1 9 5
|
|
brazile 64 245 0 5
|
|
brazilian 2693 17 34 38
|
|
brazill 485 1 1 2
|
|
breakout 261 2 33 6
|
|
breasts 15 117 11 128
|
|
breathing 92 58 42 64
|
|
breaux 1278 37 6 25
|
|
bredesen 2039 5 27 9
|
|
bree 18 102 0 2
|
|
breeden 528 40 7 9
|
|
breeder 244 48 7 14
|
|
breeders 20 7 11 746
|
|
breen 629 65 4 10
|
|
brees 1893 0 51 12
|
|
breese 104 12 4 3
|
|
brehaut 364 1 0 0
|
|
bremer 9354 37 78 306
|
|
bremner 214 10 3 6
|
|
brenda 14 594 13 30
|
|
brendan 297 22 2 3
|
|
brendon 131 2 0 0
|
|
brenly 969 0 10 5
|
|
brennan 2069 309 34 52
|
|
brenneman 247 24 5 2
|
|
brenner 878 64 20 9
|
|
brent 761 86 32 22
|
|
brentford 7 0 3 201
|
|
brereton 130 47 3 6
|
|
breslin 325 37 4 6
|
|
bret 264 0 4 6
|
|
breton 120 17 2 4
|
|
brett 2193 57 18 25
|
|
breuer 374 14 0 4
|
|
brewer 1625 397 1027 54
|
|
brewers 121 4 70 4632
|
|
brewington 91 9 0 2
|
|
brewster 839 72 34 7
|
|
brey 701 9 3 7
|
|
breyer 628 4 1 42
|
|
brezina 106 2 1 0
|
|
brian 4374 37 73 138
|
|
briana 1 165 2 0
|
|
brianna 5 325 1 62
|
|
bribes 23 1 20 417
|
|
brice 150 44 4 8
|
|
brickner 41 83 3 4
|
|
bricks 39 6 30 419
|
|
bride 62 3480 29 66
|
|
bridegroom 103 1 0 3
|
|
brides 3 15 8 548
|
|
bridgend 3 1 2 94
|
|
bridges 814 223 87 412
|
|
bridget 8 463 7 8
|
|
bridgewater 72 34 68 12
|
|
bridle 183 9 8 0
|
|
briefcase 231 0 201 6
|
|
briefing 3163 6 163 60
|
|
brien 226 17 1 6
|
|
brier 78 77 13 1
|
|
briere 388 1 1 6
|
|
brigadier 219 2 0 3
|
|
briggs 1220 277 43 57
|
|
brigham 105 8 30 2
|
|
bright 449 49 5 11
|
|
brigitte 284 36 2 0
|
|
brigman 106 4 1 1
|
|
briles 170 8 1 2
|
|
briley 82 14 5 2
|
|
brill 332 68 13 4
|
|
brimmer 356 3 1 4
|
|
brin 78 3 71 4
|
|
brink 1256 39 53 29
|
|
brinkema 25 971 1 1
|
|
brinkley 1756 68 5 7
|
|
brinkman 201 36 5 4
|
|
brinson 157 31 6 8
|
|
briones 49 52 8 4
|
|
brisard 366 0 0 1
|
|
briscoe 343 26 47 8
|
|
brisebois 132 0 1 1
|
|
brison 167 1 4 2
|
|
brisson 141 15 0 1
|
|
brister 105 45 1 5
|
|
bristow 359 40 11 13
|
|
brit 264 47 14 5
|
|
britney 9 1042 10 20
|
|
brito 97 27 3 6
|
|
briton 2389 78 27 28
|
|
brits 52 3 26 406
|
|
britt 676 148 41 15
|
|
brittain 116 58 1 3
|
|
brittany 8 752 10 21
|
|
brittney 3 213 1 3
|
|
britton 496 125 43 17
|
|
brkich 2 134 0 0
|
|
broad 176 131 148 74
|
|
broadbent 187 21 4 2
|
|
broadcasts 64 3 38 758
|
|
broaddus 287 12 1 1
|
|
broadhurst 166 22 0 6
|
|
brocail 110 0 0 2
|
|
brocchini 2364 5 5 10
|
|
brochu 138 15 5 3
|
|
brock 1308 193 66 79
|
|
brockman 85 39 0 8
|
|
brockovich 0 143 0 0
|
|
broderick 381 32 10 8
|
|
brodeur 5970 16 39 11
|
|
brodhead 529 9 5 3
|
|
brodie 435 43 8 10
|
|
brodsky 372 29 3 7
|
|
brody 545 31 7 5
|
|
broe 66 14 36 1
|
|
brogan 577 41 6 6
|
|
brogden 267 10 13 7
|
|
brohm 286 0 2 0
|
|
brokaw 2156 19 6 16
|
|
brom 156 1 1 5
|
|
bromley 119 32 28 12
|
|
bronco 133 0 49 13
|
|
broncos 410 11 129 7923
|
|
bronfman 598 1 9 5
|
|
bronner 317 7 3 2
|
|
bronson 2005 43 17 5
|
|
bronstein 138 33 1 5
|
|
brook 128 38 48 13
|
|
brooke 214 386 39 34
|
|
brooker 76 37 1 6
|
|
brookes 152 14 1 8
|
|
brookins 100 14 0 1
|
|
brooks 8683 1336 255 212
|
|
broom 91 17 87 6
|
|
broome 128 49 12 5
|
|
broomfield 99 13 83 19
|
|
brophy 265 45 20 8
|
|
brosnahan 207 6 3 0
|
|
brosnan 874 51 4 5
|
|
brosseau 89 15 0 1
|
|
brother 37756 743 336 1068
|
|
brothers 1066 127 339 18478
|
|
brotman 103 3 0 1
|
|
broucher 101 0 0 0
|
|
broudy 102 0 0 0
|
|
brough 103 26 4 7
|
|
broughton 173 104 17 18
|
|
broussard 974 102 22 15
|
|
brouwer 136 5 0 2
|
|
browder 231 19 7 3
|
|
brower 472 48 6 4
|
|
brown 70392 6854 1483 960
|
|
brownback 1150 1 6 4
|
|
browne 1850 142 19 24
|
|
brownell 163 47 7 10
|
|
brownfield 62 16 25 4
|
|
browning 1104 135 30 36
|
|
brownlee 584 36 9 9
|
|
brownlie 108 7 1 3
|
|
browns 283 4 80 8361
|
|
broyles 866 39 7 8
|
|
brozak 126 1 0 0
|
|
brubaker 134 36 1 4
|
|
bruce 4648 231 70 100
|
|
brucia 122 24 3 4
|
|
bruckheimer 142 2 0 0
|
|
bruckner 127 17 3 2
|
|
brudnoy 327 0 0 0
|
|
bruguiere 121 2 0 17
|
|
bruin 85 7 66 44
|
|
bruininks 177 0 2 1
|
|
bruise 987 143 44 3
|
|
bruises 174 160 36 52
|
|
brulte 275 1 0 2
|
|
brumbies 26 0 8 485
|
|
brumley 240 21 2 3
|
|
brundage 121 13 3 2
|
|
brundtland 0 164 6 0
|
|
brunell 2465 1 24 8
|
|
bruner 158 48 2 7
|
|
brunerie 124 0 0 0
|
|
brunette 157 149 0 10
|
|
bruning 147 15 1 3
|
|
brunner 264 69 4 8
|
|
bruno 1641 78 27 34
|
|
bruns 149 59 4 9
|
|
brunson 238 67 3 5
|
|
brunstad 140 0 0 0
|
|
brunt 62 18 32 28
|
|
bruntlett 99 1 0 0
|
|
bruschi 544 2 4 13
|
|
brushes 9 5 7 157
|
|
bruton 323 11 26 9
|
|
bryan 2220 329 120 70
|
|
bryans 6 4 1 216
|
|
bryant 55997 964 241 438
|
|
bryce 253 51 5 11
|
|
bryden 721 24 12 6
|
|
brylin 458 0 1 0
|
|
bryson 466 82 7 10
|
|
brzezinski 138 4 2 1
|
|
btk 222 1 3 0
|
|
bubba 304 2 14 9
|
|
bucci 163 26 7 4
|
|
buchan 60 40 9 45
|
|
buchanan 2032 398 101 68
|
|
buchanon 372 2 1 3
|
|
bucher 579 70 4 6
|
|
buchholz 116 34 2 4
|
|
buchweitz 2 122 0 3
|
|
buck 1599 399 289 88
|
|
buckhalter 508 0 0 0
|
|
buckingham 356 35 35 9
|
|
buckle 62 18 21 3
|
|
buckles 102 12 6 10
|
|
bucklew 308 8 0 1
|
|
buckley 1492 261 31 47
|
|
buckman 164 37 4 2
|
|
buckner 1245 131 17 18
|
|
bucknor 331 2 0 1
|
|
bucs 196 3 101 7577
|
|
bud 1117 16 89 13
|
|
budanov 226 14 0 1
|
|
budd 89 69 9 4
|
|
buddha 334 2 14 2
|
|
buddies 124 9 23 1069
|
|
buddle 145 0 0 1
|
|
buddy 1931 57 51 81
|
|
budke 229 5 32 3
|
|
buehler 92 25 13 5
|
|
buehrle 1524 2 9 1
|
|
buell 255 74 13 3
|
|
buenaventura 124 2 14 3
|
|
bueno 359 22 6 1
|
|
buescher 342 10 20 2
|
|
buff 600 20 5 12
|
|
buffett 4019 42 18 20
|
|
buffington 72 22 2 8
|
|
buffon 165 2 2 0
|
|
buffoon 147 0 2 2
|
|
buffy 9 231 67 7
|
|
buford 220 44 146 17
|
|
bugel 164 0 1 2
|
|
buhari 341 0 5 1
|
|
buhl 110 42 11 27
|
|
buhler 78 5 18 3
|
|
bui 162 18 1 6
|
|
builder 671 18 527 89
|
|
buitrago 127 1 0 1
|
|
bulgarian 127 29 10 4
|
|
bulger 6251 32 19 17
|
|
bulis 278 0 0 0
|
|
bull 688 222 621 46
|
|
bullard 371 199 24 20
|
|
bulldog 90 15 83 37
|
|
bulldozers 5 27 23 788
|
|
bullen 104 4 2 0
|
|
bullets 241 57 72 558
|
|
bullington 138 6 0 2
|
|
bullins 114 1 0 3
|
|
bullock 1041 353 16 46
|
|
bulls 209 17 121 8937
|
|
bulluck 328 7 1 0
|
|
bully 381 20 35 29
|
|
bum 166 3 12 1
|
|
bumbaco 101 0 0 0
|
|
bump 161 46 125 27
|
|
bumpus 219 12 3 3
|
|
bunce 108 11 2 2
|
|
bundy 157 37 4 12
|
|
bunge 66 615 166 5
|
|
bunk 128 2 8 1
|
|
bunker 258 23 188 20
|
|
bunkley 104 0 0 0
|
|
bunn 218 55 5 7
|
|
bunnell 64 26 50 8
|
|
bunner 254 1 5 2
|
|
bunning 1284 24 12 30
|
|
bunny 57 56 35 9
|
|
buns 5 0 1 113
|
|
bunting 1018 48 37 23
|
|
bunye 194 56 21 50
|
|
buono 362 20 7 1
|
|
burba 201 9 0 0
|
|
burbank 448 25 48 6
|
|
burch 498 113 3 14
|
|
burcham 37 186 2 5
|
|
burchett 101 5 1 7
|
|
burd 356 19 2 5
|
|
burdette 89 30 6 52
|
|
burdick 429 86 3 18
|
|
burdine 108 22 3 3
|
|
burdzhanadze 13 366 0 4
|
|
bure 805 1 8 0
|
|
bureaucrat 329 18 17 18
|
|
bureaus 3 1 2 141
|
|
burg 189 13 29 8
|
|
burge 188 33 6 1
|
|
burgess 1784 314 31 52
|
|
burgett 310 13 0 2
|
|
burgin 85 15 12 2
|
|
burglar 857 43 11 28
|
|
burglaries 13 0 6 88
|
|
burglars 26 18 13 605
|
|
burgos 95 147 1 13
|
|
burk 188 3047 18 28
|
|
burke 4999 823 113 111
|
|
burkett 2724 66 15 12
|
|
burkhardt 95 16 3 3
|
|
burkhart 253 98 7 9
|
|
burkholder 308 51 4 2
|
|
burks 1467 69 9 9
|
|
burleson 333 41 10 7
|
|
burley 399 39 23 10
|
|
burman 79 19 8 2
|
|
burmeister 1153 10 0 52
|
|
burnett 3230 317 51 35
|
|
burnette 126 46 6 2
|
|
burney 101 50 8 5
|
|
burnham 254 238 17 36
|
|
burnitz 1118 0 16 22
|
|
burnley 83 12 17 296
|
|
burns 7907 1065 205 215
|
|
burnside 197 41 13 11
|
|
burr 2086 90 26 14
|
|
burrell 5318 111 94 54
|
|
burress 1102 6 2 3
|
|
burris 513 63 45 26
|
|
burroughs 810 99 36 13
|
|
burrow 284 11 12 14
|
|
burrows 469 84 16 30
|
|
burrus 92 11 2 10
|
|
bursa 220 1 4 0
|
|
bursey 207 2 2 2
|
|
burstein 126 9 1 1
|
|
bursts 74 3 7 42
|
|
burt 686 240 17 21
|
|
burton 4305 562 113 120
|
|
busbee 115 7 1 0
|
|
busby 321 51 4 7
|
|
busch 13614 84 56 32
|
|
buscher 116 6 0 0
|
|
buser 266 7 1 0
|
|
bush 624776 2373 3916 4328
|
|
bushes 25 75 29 247
|
|
bushman 133 20 4 1
|
|
bushnell 71 95 10 1
|
|
bushrangers 2 0 1 139
|
|
businessman 11151 25 71 150
|
|
businessmen 104 3 65 3241
|
|
businesswoman 2 1079 6 4
|
|
businesswomen 0 3 0 128
|
|
buskirk 152 25 9 1
|
|
buss 784 39 8 19
|
|
busse 94 45 2 5
|
|
bussell 89 14 1 4
|
|
bussey 78 32 0 2
|
|
bustamante 5664 52 40 40
|
|
buster 298 10 23 6
|
|
bustle 133 2 11 3
|
|
bustos 58 56 3 2
|
|
butch 417 7 10 9
|
|
butcher 1917 100 37 51
|
|
buthelezi 421 2 5 6
|
|
butler 9772 1038 795 217
|
|
butt 1608 67 89 24
|
|
buttafuoco 109 12 0 0
|
|
butterfield 560 74 16 10
|
|
butterworth 227 32 5 13
|
|
buttiglione 688 0 11 4
|
|
button 3144 47 338 101
|
|
butts 528 287 40 81
|
|
butz 92 16 1 1
|
|
buxton 135 79 6 16
|
|
buyer 1206 122 813 419
|
|
buzzell 224 2 0 0
|
|
byars 137 9 1 2
|
|
bye 80 23 63 46
|
|
byers 586 116 22 27
|
|
byler 320 5 0 1
|
|
bynum 1019 64 2 8
|
|
byrd 6782 474 92 76
|
|
byrne 1888 223 28 34
|
|
byrnes 1573 60 13 21
|
|
byron 753 50 45 14
|
|
byrum 152 25 1 2
|
|
bysiewicz 1 111 3 3
|
|
bystander 900 55 9 18
|
|
byyny 209 4 1 2
|
|
bzdelik 582 0 9 12
|
|
bédard 5 95 0 0
|
|
caan 135 0 2 4
|
|
caballero 132 64 2 5
|
|
caballes 124 0 0 1
|
|
cabana 136 1 6 3
|
|
cabarkapa 139 0 0 0
|
|
cabbie 309 11 2 4
|
|
cabins 5 3 4 363
|
|
cabral 312 126 3 11
|
|
cabrera 3324 105 12 22
|
|
caceres 134 10 0 1
|
|
caddick 342 0 1 3
|
|
caddie 3177 19 16 15
|
|
caddies 7 0 2 175
|
|
caddy 204 17 14 7
|
|
cadet 721 314 16 21
|
|
cadets 28 4 11 6629
|
|
cadre 50 5 27 410
|
|
cadres 12 6 10 427
|
|
cady 165 96 7 8
|
|
caesar 300 20 18 3
|
|
cafaro 44 52 4 3
|
|
cafferty 138 2 1 0
|
|
cage 1235 37 108 58
|
|
cagle 202 27 5 19
|
|
cahe 215 0 0 0
|
|
cahill 1367 199 20 29
|
|
cahn 154 7 1 1
|
|
cahoon 179 25 3 2
|
|
cai 56 7 54 5
|
|
caillier 146 1 0 1
|
|
cain 1233 210 14 37
|
|
caine 326 52 3 6
|
|
cairns 1452 48 66 69
|
|
cairo 313 13 297 81
|
|
caitlin 7 230 0 3
|
|
cajanek 154 0 3 0
|
|
cala 109 1 10 4
|
|
calabrese 169 19 1 3
|
|
calabria 208 1 0 3
|
|
calad 1 173 0 0
|
|
calandra 181 1 3 0
|
|
calatrava 130 1 3 0
|
|
calcavecchia 501 0 2 0
|
|
calder 365 42 24 14
|
|
calderon 335 247 7 15
|
|
calderwood 321 32 2 8
|
|
caldwell 2150 406 184 58
|
|
cale 61 32 7 2
|
|
caleb 307 7 4 6
|
|
calen 116 1 0 0
|
|
calero 156 2 0 1
|
|
caley 16 8 6 74
|
|
calf 1374 67 245 51
|
|
calhoun 3794 159 73 60
|
|
calico 403 11 10 3
|
|
californian 219 143 15 15
|
|
calio 113 1 0 0
|
|
calipari 206 0 1 1
|
|
calkins 137 27 3 1
|
|
callaghan 212 37 6 4
|
|
callahan 5231 296 46 52
|
|
callan 107 32 13 2
|
|
callas 12 87 1 2
|
|
callaway 410 93 273 10
|
|
callender 114 15 3 1
|
|
caller 4411 1134 66 461
|
|
calleri 390 0 12 0
|
|
callers 60 12 33 4131
|
|
callery 91 9 2 2
|
|
calloway 402 30 29 6
|
|
callum 88 9 0 4
|
|
calm 131 59 94 85
|
|
calvert 511 53 118 21
|
|
calvi 112 5 0 1
|
|
calvillo 266 3 3 1
|
|
calvin 488 22 59 18
|
|
calvo 62 39 0 3
|
|
calzaghe 340 0 1 3
|
|
cam 279 7 51 11
|
|
camac 126 3 6 5
|
|
camacho 1290 111 7 31
|
|
camara 575 17 4 5
|
|
camarillo 49 122 37 8
|
|
cambone 347 1 50 0
|
|
camby 832 0 2 2
|
|
camejo 721 6 2 8
|
|
cameo 70 19 17 17
|
|
cameraman 1705 2 14 18
|
|
cameramen 8 1 3 210
|
|
cameron 3885 426 140 125
|
|
camille 38 69 7 19
|
|
camilleri 137 16 7 4
|
|
caminiti 2911 7 3 3
|
|
camm 182 6 1 0
|
|
cammalleri 213 0 2 0
|
|
camouflage 84 1 16 18
|
|
campaigner 924 96 20 14
|
|
campanella 203 15 5 2
|
|
campas 417 0 3 0
|
|
campbell 19105 2003 689 375
|
|
camper 167 45 59 35
|
|
campese 99 1 0 3
|
|
campion 108 56 2 9
|
|
camplin 16 110 3 2
|
|
campo 793 8 18 9
|
|
campos 545 86 10 11
|
|
camus 98 2 17 9
|
|
canaan 105 6 8 3
|
|
canaday 97 14 0 2
|
|
canadian 2291 197 120 72
|
|
canadiens 46 0 20 2343
|
|
canady 134 24 3 3
|
|
canales 159 66 8 2
|
|
canan 148 1 1 1
|
|
canaries 11 0 10 675
|
|
canas 504 6 1 1
|
|
canavan 106 19 3 2
|
|
candace 2 107 1 3
|
|
candeto 136 0 2 0
|
|
candice 3 117 0 24
|
|
candidacy 341 37 266 52
|
|
candidate 55360 2504 720 1664
|
|
candidates 672 86 614 54578
|
|
candler 141 6 0 9
|
|
candrea 470 4 1 5
|
|
cane 122 112 84 11
|
|
canfield 143 34 8 10
|
|
canidate 104 0 2 0
|
|
canine 45 17 37 1
|
|
canio 193 1 1 5
|
|
canisters 3 1 2 637
|
|
canizares 151 0 0 1
|
|
cann 99 7 2 2
|
|
cannings 7 94 2 9
|
|
cannon 1876 330 118 50
|
|
cano 213 53 6 6
|
|
canseco 2572 1 3 0
|
|
cantalupo 977 1 6 2
|
|
cantat 228 12 1 8
|
|
canter 89 15 3 1
|
|
cantor 223 180 55 6
|
|
cantrell 363 132 12 4
|
|
cantu 249 66 3 18
|
|
cantwell 179 273 16 10
|
|
cao 152 27 119 7
|
|
caouette 102 8 2 0
|
|
capel 480 3 6 5
|
|
capellas 1130 0 16 1
|
|
capello 212 9 1 4
|
|
capers 589 21 10 24
|
|
capitals 28 2 26 2421
|
|
caplan 219 44 8 6
|
|
caplin 17 217 5 0
|
|
capone 134 32 4 3
|
|
capote 224 0 0 0
|
|
capps 189 166 18 15
|
|
capriati 7 8434 8 111
|
|
caprio 94 7 0 7
|
|
captain 54227 1558 615 1609
|
|
captains 45 4 40 2215
|
|
captive 612 268 69 197
|
|
captors 373 22 16 7622
|
|
capture 602 8 553 151
|
|
capuano 505 27 1 1
|
|
caputo 117 31 1 5
|
|
cara 48 119 110 7
|
|
caraballo 278 16 0 1
|
|
caramanlis 266 0 0 10
|
|
caraway 226 16 2 7
|
|
caray 101 0 1 2
|
|
carberry 97 7 1 2
|
|
carbone 170 28 4 2
|
|
carcasses 6 7 6 372
|
|
carcieri 1379 8 20 22
|
|
carden 81 23 4 3
|
|
cardenas 662 119 2 12
|
|
cardin 149 12 3 4
|
|
cardinals 478 8 271 18022
|
|
cardiologist 509 28 12 11
|
|
cardona 130 35 1 3
|
|
cardoso 94 14 0 3
|
|
cardoza 359 23 2 4
|
|
cardozo 138 7 16 1
|
|
cardwell 102 26 2 3
|
|
career 9574 906 4034 747
|
|
caregiver 50 135 13 42
|
|
carers 8 8 7 288
|
|
caret 99 1 2 0
|
|
caretaker 1081 111 35 25
|
|
caretakers 12 7 7 229
|
|
carew 129 8 0 11
|
|
carey 3359 763 66 46
|
|
carhart 123 24 0 0
|
|
caridi 408 1 0 3
|
|
carjacker 115 10 4 0
|
|
carl 2101 42 27 43
|
|
carla 5 329 3 13
|
|
carle 121 14 25 4
|
|
carley 102 36 2 0
|
|
carlie 24 1240 0 0
|
|
carlin 519 91 22 9
|
|
carlisle 4075 107 157 242
|
|
carlo 208 8 2 3
|
|
carlock 184 12 0 0
|
|
carlos 1382 27 18 17
|
|
carlow 40 6 6 71
|
|
carlsen 158 35 3 8
|
|
carlson 2879 520 89 61
|
|
carlton 424 214 357 121
|
|
carly 9 284 4 4
|
|
carmack 478 23 2 8
|
|
carman 117 40 6 8
|
|
carmela 2 180 0 0
|
|
carmella 12 89 5 2
|
|
carmelo 261 0 6 0
|
|
carmen 70 269 11 22
|
|
carmichael 685 117 15 13
|
|
carmody 305 47 11 11
|
|
carmona 391 33 11 10
|
|
carnahan 152 450 2 1
|
|
carnegie 249 4 28 3
|
|
carner 10 153 1 0
|
|
carnes 158 56 6 8
|
|
carney 1517 187 29 24
|
|
caro 292 29 15 7
|
|
carol 55 1058 30 63
|
|
carole 5 150 0 11
|
|
caroline 22 492 50 28
|
|
carolyn 24 430 7 33
|
|
caron 851 96 7 15
|
|
carona 156 0 1 0
|
|
carothers 109 10 0 1
|
|
carpenter 4009 546 97 87
|
|
carpenters 3 1 2 122
|
|
carpentier 922 6 6 3
|
|
carper 197 37 4 3
|
|
carr 6057 1413 119 124
|
|
carradine 120 0 0 3
|
|
carragher 133 3 1 9
|
|
carranza 79 17 0 6
|
|
carrasco 218 29 2 7
|
|
carrasquillo 140 3 0 0
|
|
carraz 103 0 0 0
|
|
carreno 140 3 1 0
|
|
carrey 829 9 6 8
|
|
carrick 218 25 8 29
|
|
carrie 37 785 5 18
|
|
carrigan 119 47 4 2
|
|
carrillo 528 61 26 10
|
|
carrington 212 60 19 4
|
|
carrizales 5 164 0 1
|
|
carroll 5778 790 465 218
|
|
carruth 589 109 3 3
|
|
carruthers 147 34 2 8
|
|
carson 2351 411 54 50
|
|
carswell 246 34 1 1
|
|
carter 25466 1758 218 276
|
|
carters 24 0 4 96
|
|
carthon 104 1 1 0
|
|
cartilage 344 15 81 1
|
|
cartoonist 308 12 27 8
|
|
cartoonists 5 0 3 99
|
|
cartoons 16 3 15 355
|
|
cartwright 716 138 8 11
|
|
carty 1078 59 22 24
|
|
caruana 93 7 2 1
|
|
caruso 621 82 12 9
|
|
carvalho 146 23 4 5
|
|
carver 374 136 134 38
|
|
carville 178 2 3 4
|
|
cary 295 86 57 22
|
|
casale 106 34 1 5
|
|
casamayor 137 2 2 4
|
|
casanova 123 46 0 1
|
|
casas 100 9 2 8
|
|
casella 104 7 18 13
|
|
casesa 250 0 2 0
|
|
caseworker 60 196 4 20
|
|
caseworkers 7 14 6 410
|
|
casey 5856 619 115 123
|
|
cashier 191 396 39 43
|
|
cashman 2279 49 36 48
|
|
casiano 192 2 1 0
|
|
casillas 218 25 1 1
|
|
cason 727 62 1 4
|
|
casper 129 44 67 20
|
|
cass 177 32 53 8
|
|
cassandra 5 193 3 3
|
|
cassano 271 6 3 2
|
|
cassar 148 19 1 4
|
|
cassel 100 15 1 4
|
|
cassell 2725 8 84 13
|
|
cassells 119 10 0 1
|
|
cassels 200 3 3 1
|
|
casserly 255 7 1 2
|
|
cassidy 1102 192 18 40
|
|
cassie 18 376 1 3
|
|
cassity 70 25 3 5
|
|
castagna 171 15 3 1
|
|
castaneda 468 40 4 27
|
|
castano 97 85 2 5
|
|
casteel 68 33 1 6
|
|
casteen 238 12 14 5
|
|
castellani 408 4 1 6
|
|
castellano 234 12 1 5
|
|
castellanos 74 37 1 2
|
|
castelli 75 16 16 3
|
|
castilla 1100 1 0 0
|
|
castille 119 38 1 2
|
|
castillo 1889 311 14 33
|
|
castle 460 117 285 86
|
|
castor 375 1618 17 15
|
|
castro 8900 269 98 56
|
|
castroneves 1925 0 1 1
|
|
casts 7 3 5 214
|
|
casualty 740 15 61 15
|
|
caswell 125 23 11 5
|
|
catalan 357 2 3 3
|
|
catalano 159 37 1 7
|
|
catalanotto 289 2 2 0
|
|
cataldo 160 9 1 1
|
|
catanese 102 5 0 0
|
|
catania 150 8 2 10
|
|
catch 660 31 433 150
|
|
catcher 4853 82 44 21
|
|
catchers 15 0 10 589
|
|
catches 533 1 48 97
|
|
catchings 11 453 0 1
|
|
cate 134 53 6 28
|
|
caterer 38 26 29 8
|
|
caterpillars 0 3 2 152
|
|
cates 374 144 8 10
|
|
cathcart 88 11 3 3
|
|
catherine 13 608 9 24
|
|
cathey 107 21 2 2
|
|
catholic 467 75 320 165
|
|
cathy 55 521 5 32
|
|
catlin 121 13 13 1
|
|
cato 207 16 39 2
|
|
caton 136 15 4 4
|
|
catron 113 10 1 1
|
|
catt 239 12 13 4
|
|
catwoman 0 237 32 3
|
|
catz 5 150 7 12
|
|
caucasian 119 23 0 9
|
|
cauchon 346 2 6 4
|
|
caucuses 53 0 44 1277
|
|
caudill 179 17 7 1
|
|
caudle 72 30 0 2
|
|
caulley 120 0 1 0
|
|
causey 1443 49 2 21
|
|
cauthen 335 6 2 4
|
|
cavallaro 147 8 0 1
|
|
cavalleri 0 102 0 1
|
|
cavallo 203 11 0 0
|
|
cavanagh 334 24 8 7
|
|
cavanaugh 393 77 6 15
|
|
cave 590 41 85 16
|
|
cavers 1 2 1 224
|
|
caviezel 366 1 3 1
|
|
cavs 49 2 34 3027
|
|
cawley 193 18 11 6
|
|
cayard 115 0 0 1
|
|
cayetano 98 9 5 3
|
|
caylor 55 56 8 5
|
|
cayton 110 11 0 3
|
|
cazares 288 33 1 6
|
|
cbe 73 4 56 7
|
|
cease 232 0 2 0
|
|
cech 158 5 0 4
|
|
cechmanek 1393 0 1 8
|
|
cecil 263 50 17 12
|
|
cecilia 2 297 6 25
|
|
cedarbaum 19 1816 5 5
|
|
cedeno 889 4 2 1
|
|
cedillo 282 5 3 1
|
|
cedric 251 1 2 2
|
|
cejka 474 0 0 2
|
|
celantano 150 0 0 0
|
|
celaya 93 17 26 8
|
|
celebrity 806 293 349 110
|
|
celebs 5 1 4 435
|
|
celeste 36 94 13 5
|
|
celestin 103 0 0 1
|
|
celia 3 328 1 4
|
|
celine 0 137 12 2
|
|
cellist 133 15 1 0
|
|
cellmate 150 5 3 4
|
|
cellmates 3 1 0 97
|
|
cellucci 212 8 17 6
|
|
celona 139 1 0 0
|
|
celtics 137 0 114 6212
|
|
cena 154 0 7 4
|
|
ceniceros 113 4 0 0
|
|
centerfielder 119 8 1 2
|
|
century 911 26 651 326
|
|
ceo 9583 254 480 304
|
|
ceraso 109 2 48 8
|
|
cerda 140 8 1 2
|
|
cerenity 0 117 0 0
|
|
ceriex 157 0 0 0
|
|
cervantes 229 103 6 4
|
|
cesar 181 8 3 10
|
|
cfo 570 19 38 34
|
|
cha 198 13 81 11
|
|
chabot 141 15 28 31
|
|
chacin 105 0 0 0
|
|
chacon 1110 23 7 27
|
|
chad 1247 14 129 38
|
|
chadha 40 64 2 2
|
|
chadwick 409 103 19 10
|
|
chafee 714 3 5 1
|
|
chaffee 77 34 13 8
|
|
chaffin 239 26 4 3
|
|
chagnon 140 1 2 1
|
|
chai 150 3 11 9
|
|
chair 1138 320 800 148
|
|
chairman 90168 1593 3322 3537
|
|
chairmen 25 2 14 1120
|
|
chairperson 248 172 31 73
|
|
chairwoman 21 1086 42 40
|
|
chakraborty 88 3 6 5
|
|
chakuamba 106 0 2 1
|
|
chalabi 8451 0 51 273
|
|
chalk 85 19 59 16
|
|
challenger 4486 146 310 84
|
|
challengers 73 15 26 2372
|
|
chalmers 751 26 8 10
|
|
chamberlain 806 163 46 23
|
|
chamberlin 131 45 6 5
|
|
chambers 2611 885 215 722
|
|
chamblain 631 0 0 3
|
|
chambliss 834 99 8 7
|
|
chameleon 124 16 27 0
|
|
champ 1935 173 91 36
|
|
champagne 187 82 129 29
|
|
champali 103 0 1 0
|
|
champion 30358 2158 1258 328
|
|
champlin 145 12 1 2
|
|
chan 1545 369 43 51
|
|
chancellor 13688 412 342 234
|
|
chancey 37 75 0 1
|
|
chand 258 10 6 23
|
|
chandana 162 1 0 0
|
|
chanderpaul 845 0 0 5
|
|
chandler 4571 329 92 91
|
|
chandra 620 25 26 4
|
|
chandrasekaran 103 0 1 1
|
|
chandy 226 0 8 4
|
|
chanel 2 147 52 6
|
|
chaney 2076 148 18 23
|
|
chang 4034 442 44 87
|
|
channing 30 181 0 2
|
|
chant 146 6 48 4
|
|
chante 0 307 0 0
|
|
chao 92 125 5 42
|
|
chap 267 7 21 5
|
|
chaperone 2 132 4 3
|
|
chapin 144 111 25 10
|
|
chaplain 1387 37 8 77
|
|
chaplains 5 6 4 415
|
|
chaplin 247 43 6 10
|
|
chapman 4648 651 93 102
|
|
chapmans 16 2 1 604
|
|
chappell 580 91 11 9
|
|
chappelle 188 12 7 1
|
|
chapple 106 16 0 5
|
|
chaput 148 12 2 1
|
|
chara 342 1 1 0
|
|
character 3812 1525 1337 581
|
|
charbonneau 81 33 1 1
|
|
charest 769 89 13 14
|
|
charges 5600 946 1830 4229
|
|
charisma 96 4 34 15
|
|
charkaoui 129 10 8 2
|
|
charlatan 154 0 1 0
|
|
charlene 8 327 0 29
|
|
charles 10935 194 64 98
|
|
charlie 2274 67 36 40
|
|
charlize 0 106 0 1
|
|
charlton 418 42 99 1368
|
|
charpentier 108 5 0 3
|
|
charron 125 46 2 2
|
|
charters 45 12 18 265
|
|
chartrand 846 4 0 0
|
|
charvis 234 0 3 4
|
|
chase 1292 350 473 133
|
|
chased 75 20 71 66
|
|
chasen 112 3 1 1
|
|
chaser 102 5 14 0
|
|
chasers 5 0 1 105
|
|
chasez 298 0 1 1
|
|
chastain 157 624 3 9
|
|
chatham 66 21 46 13
|
|
chatman 140 209 18 6
|
|
chatterjee 585 16 7 16
|
|
chau 58 41 2 1
|
|
chaudhary 101 14 4 6
|
|
chaudhry 242 6 6 16
|
|
chaudhury 103 1 0 0
|
|
chauffeur 330 1 1 6
|
|
chauhan 90 5 5 7
|
|
chauncey 116 1 6 2
|
|
chautala 135 0 10 6
|
|
chavez 25939 487 193 127
|
|
chavis 510 42 0 33
|
|
chavous 208 1 1 1
|
|
chawla 40 382 2 12
|
|
che 140 5 13 11
|
|
chea 177 7 1 13
|
|
cheadle 197 3 6 20
|
|
cheat 676 9 7 4
|
|
cheatham 115 35 4 10
|
|
chechen 54 300 64 198
|
|
chechens 6 1 5 1044
|
|
checker 64 19 16 6
|
|
checketts 147 0 0 0
|
|
checkpoint 125 29 95 67
|
|
checkpoints 4 51 21 1470
|
|
chee 120 24 7 0
|
|
cheechoo 669 1 0 2
|
|
cheek 989 101 109 17
|
|
cheeks 1307 30 7 39
|
|
cheema 140 12 2 8
|
|
cheerleader 60 412 17 10
|
|
cheers 139 14 75 244
|
|
cheever 277 12 1 0
|
|
chef 1879 134 57 60
|
|
chela 222 2 3 0
|
|
chelios 455 0 5 0
|
|
chemist 346 39 27 13
|
|
chen 11719 728 181 231
|
|
chenault 129 13 2 3
|
|
cheney 20662 362 102 221
|
|
cheneys 4 2 0 814
|
|
cheng 708 117 22 16
|
|
cheques 21 4 15 212
|
|
cher 13 471 11 1
|
|
cheri 5 94 1 0
|
|
cherie 9 228 2 14
|
|
cherkasky 100 0 1 23
|
|
cherrix 299 10 0 0
|
|
cherry 1673 218 45 33
|
|
chertoff 128 0 0 0
|
|
cheruiyot 269 0 2 5
|
|
cheryl 17 584 7 27
|
|
chesbro 100 6 2 0
|
|
cheshire 102 7 56 88
|
|
chesley 106 8 35 1
|
|
chesney 247 22 4 4
|
|
chesnot 34 0 0 72
|
|
chest 558 120 106 24
|
|
chester 363 39 162 285
|
|
chestnut 214 33 41 3
|
|
chetwynd 121 5 0 0
|
|
cheung 270 55 11 5
|
|
chevalier 54 38 7 4
|
|
chew 198 59 19 16
|
|
chey 179 1 1 2
|
|
cheyenne 15 263 45 26
|
|
chi 87 48 84 6
|
|
chia 179 28 6 9
|
|
chiang 204 47 2 10
|
|
chiao 247 1 1 3
|
|
chiarelli 127 2 4 6
|
|
chicagoan 110 5 0 1
|
|
chicagoans 3 0 0 214
|
|
chichester 240 6 12 11
|
|
chick 191 239 108 2
|
|
chico 107 2 80 17
|
|
chidambaram 634 0 29 13
|
|
chief 65677 2019 1694 2832
|
|
chiefs 591 23 284 12604
|
|
chien 249 16 5 1
|
|
child 13137 7365 2345 4877
|
|
childers 719 87 2 21
|
|
childhood 132 59 121 55
|
|
children 2830 2651 2567 164992
|
|
childress 2087 58 15 22
|
|
childs 608 146 15 65
|
|
chilean 288 0 3 0
|
|
chileans 3 0 2 222
|
|
chiles 125 96 12 15
|
|
chilton 110 21 16 8
|
|
chiluba 205 0 1 4
|
|
chimpanzees 0 4 0 173
|
|
chin 1757 166 60 44
|
|
ching 425 19 3 1
|
|
chingoka 108 0 2 12
|
|
chins 1 2 1 130
|
|
chiodo 137 3 1 1
|
|
chipman 87 53 2 3
|
|
chirac 11325 13 293 166
|
|
chiropractor 290 28 13 4
|
|
chiropractors 3 1 0 128
|
|
chisholm 368 81 36 22
|
|
chissano 191 1 5 2
|
|
chistov 102 0 0 0
|
|
chitwood 148 24 2 7
|
|
chiu 158 57 8 14
|
|
chloe 8 335 15 9
|
|
cho 367 300 14 13
|
|
choate 148 38 6 3
|
|
chocola 149 0 1 3
|
|
chodorow 129 0 0 2
|
|
choe 364 20 8 5
|
|
chohan 105 1 0 3
|
|
choi 2180 107 34 9
|
|
choisir 97 0 4 1
|
|
chomsky 122 0 2 4
|
|
chong 724 96 21 21
|
|
choo 136 35 5 4
|
|
chopra 586 20 10 6
|
|
choreographer 153 91 9 6
|
|
chou 107 67 25 5
|
|
choudhury 165 5 8 2
|
|
chouinard 279 20 2 14
|
|
chow 784 120 49 30
|
|
chowdhury 158 35 5 8
|
|
choy 65 42 0 2
|
|
chrebet 600 0 4 1
|
|
chretien 3535 20 34 28
|
|
chris 6370 268 126 146
|
|
chrisman 174 18 4 1
|
|
chrisostomides 484 0 0 0
|
|
christ 2294 34 98 62
|
|
christen 43 55 0 2
|
|
christensen 1047 380 35 32
|
|
christenson 179 46 1 1
|
|
christian 5423 423 204 146
|
|
christians 112 11 73 6429
|
|
christiansen 568 81 6 6
|
|
christianson 117 16 3 4
|
|
christie 2257 218 23 36
|
|
christina 15 776 12 32
|
|
christine 63 702 8 35
|
|
christman 131 18 3 6
|
|
christofi 1631 7 4 6
|
|
christophe 155 1 0 1
|
|
christopher 2325 115 57 35
|
|
christy 136 405 8 7
|
|
chronister 90 6 1 3
|
|
chrétien 1212 12 33 13
|
|
chu 466 134 14 11
|
|
chua 237 45 25 35
|
|
chuck 755 16 23 28
|
|
chucky 310 4 1 4
|
|
chukwu 192 0 2 6
|
|
chun 520 31 2 6
|
|
chung 2050 242 17 26
|
|
chunga 121 1 2 10
|
|
churchgoers 23 1 5 720
|
|
churchill 406 66 225 64
|
|
chuwit 264 0 0 0
|
|
chyung 103 0 0 0
|
|
chávez 833 40 20 9
|
|
ciampi 236 9 2 6
|
|
cianci 447 5 1 1
|
|
ciancio 19 149 0 1
|
|
ciara 2 136 1 0
|
|
cicek 80 6 11 51
|
|
cicilline 302 3 7 8
|
|
cicutto 248 0 4 1
|
|
cieslewicz 223 3 3 4
|
|
cimoszewicz 135 0 2 2
|
|
cinderella 9 268 35 10
|
|
cindrich 136 7 1 5
|
|
cindy 16 616 5 35
|
|
cink 1982 0 2 2
|
|
cintron 403 24 2 0
|
|
cio 133 12 31 26
|
|
cipel 4169 0 9 2
|
|
cipolla 147 3 5 2
|
|
cipollini 329 4 3 3
|
|
cipriani 234 18 2 0
|
|
circles 117 17 101 612
|
|
cirillo 778 7 9 2
|
|
cisneros 208 79 3 13
|
|
cisse 543 0 2 7
|
|
citation 209 33 65 25
|
|
citations 20 4 13 302
|
|
citizen 8271 408 149 634
|
|
civilian 1863 20 40 56
|
|
civilians 186 6 121 14349
|
|
cj 511 34 48 15
|
|
claiborne 291 25 36 2
|
|
claimant 169 24 10 19
|
|
clair 116 81 15 9
|
|
claire 54 422 9 13
|
|
clams 2 0 1 129
|
|
clancy 368 98 11 8
|
|
clanton 71 24 9 0
|
|
clapacs 214 1 9 1
|
|
clapham 98 1 0 2
|
|
clapp 147 41 1 4
|
|
clapton 545 1 1 12
|
|
clara 19 268 17 7
|
|
clare 127 280 33 103
|
|
clarence 342 4 11 12
|
|
clarett 13824 115 24 33
|
|
clark 34699 4099 392 484
|
|
clarke 14839 733 192 160
|
|
clarkson 297 1525 65 28
|
|
clary 169 45 7 4
|
|
classics 26 5 21 339
|
|
classmate 475 354 12 50
|
|
classmates 183 131 33 2153
|
|
claude 254 21 9 5
|
|
claudia 8 207 3 13
|
|
claudio 242 16 3 11
|
|
claus 335 55 1 22
|
|
clausen 755 88 17 9
|
|
claussen 411 24 3 4
|
|
clavelle 183 1 4 0
|
|
clawson 155 55 13 3
|
|
claxton 655 22 3 4
|
|
clay 3228 181 226 46
|
|
clayton 1746 209 182 56
|
|
claywell 135 0 1 0
|
|
cleamons 416 0 1 0
|
|
cleary 392 66 11 13
|
|
cleaver 244 58 12 4
|
|
cleese 155 0 1 0
|
|
clegg 284 33 10 2
|
|
cleland 1398 23 4 18
|
|
clem 323 77 6 5
|
|
clemens 23869 92 82 53
|
|
clement 2927 130 56 49
|
|
clemente 249 61 5 8
|
|
clements 535 114 24 33
|
|
clemmensen 157 1 0 0
|
|
clemmons 88 28 3 0
|
|
clemon 202 30 2 7
|
|
clemons 3807 119 11 8
|
|
clergyman 1052 3 3 7
|
|
clergymen 9 0 2 241
|
|
cleric 23042 9 78 47
|
|
clerides 169 1 0 5
|
|
clerk 2167 2758 215 339
|
|
clerks 37 19 20 2996
|
|
clevenger 91 45 11 2
|
|
cliburn 124 2 4 2
|
|
client 22502 2043 1060 865
|
|
cliff 1368 19 26 27
|
|
clifford 816 112 7 21
|
|
clifton 1230 88 44 34
|
|
clijsters 48 10953 123 42
|
|
climber 943 19 33 19
|
|
clinch 194 4 9 14
|
|
cline 730 372 14 30
|
|
clint 232 5 5 4
|
|
clinton 36137 3237 410 316
|
|
clippers 90 5 52 5359
|
|
clips 89 10 50 2987
|
|
clive 702 10 15 11
|
|
cloete 70 183 3 2
|
|
clohessy 128 0 2 2
|
|
cloninger 205 12 1 3
|
|
clooney 1120 22 3 4
|
|
closer 804 0 26 5
|
|
closers 3 0 0 224
|
|
closser 139 11 3 3
|
|
clothes 339 226 230 7083
|
|
cloths 1 6 3 125
|
|
clough 669 42 36 7
|
|
clouse 95 41 3 0
|
|
cloutier 1333 30 8 5
|
|
clover 43 37 40 6
|
|
clown 751 34 13 13
|
|
clownfish 266 0 1 6
|
|
cluck 110 4 2 5
|
|
cluff 114 9 13 3
|
|
cluley 140 2 1 0
|
|
clune 599 8 5 0
|
|
clutter 55 8 45 9
|
|
clyburn 477 4 2 2
|
|
clyde 280 23 37 186
|
|
clymer 195 34 9 1
|
|
clyne 205 0 4 1
|
|
cm 305 60 90 24
|
|
coach 353979 15793 6230 7674
|
|
coaches 1586 155 549 26364
|
|
coakley 104 122 6 5
|
|
coale 15 92 5 1
|
|
coates 1261 144 42 16
|
|
coats 160 46 41 229
|
|
cobain 612 2 2 1
|
|
cobb 1646 288 74 34
|
|
cobbs 321 23 0 22
|
|
cobey 307 1 0 0
|
|
coble 562 34 5 4
|
|
cobourne 220 0 0 1
|
|
coburn 1402 82 8 10
|
|
coceres 329 0 0 0
|
|
cochran 1335 231 20 23
|
|
cochrane 305 62 58 8
|
|
cockman 123 2 0 0
|
|
coco 83 47 24 4
|
|
coddington 41 61 2 6
|
|
coderre 214 7 4 8
|
|
codey 1208 6 6 7
|
|
cody 1368 103 28 36
|
|
coe 418 66 26 11
|
|
coelho 192 39 3 1
|
|
coen 392 9 5 2
|
|
coetzee 203 74 13 7
|
|
coetzer 27 211 0 0
|
|
coffey 767 133 19 17
|
|
coffman 600 123 15 12
|
|
cogan 137 25 25 3
|
|
coggins 106 20 1 5
|
|
coghill 110 9 3 3
|
|
cohan 108 13 1 1
|
|
cohen 5181 1007 113 104
|
|
cohn 347 272 28 62
|
|
cohorts 19 0 2 184
|
|
cojocaru 93 11 0 0
|
|
cojuangco 260 4 8 6
|
|
coker 2067 64 35 62
|
|
colagiovanni 104 0 0 0
|
|
colangelo 1084 5 2 4
|
|
colaninno 151 0 1 0
|
|
colas 153 2 5 8
|
|
colbert 693 57 11 32
|
|
colbrunn 113 0 12 0
|
|
colburn 511 72 4 4
|
|
colby 229 57 53 23
|
|
cole 6973 835 205 130
|
|
coleman 10578 969 173 175
|
|
coles 1625 76 262 70
|
|
coletta 96 12 1 6
|
|
coley 165 49 9 0
|
|
colgan 142 25 66 9
|
|
colin 1023 18 28 24
|
|
coll 126 14 6 1
|
|
collaborations 47 4 32 19
|
|
collarbone 120 7 8 3
|
|
collard 183 16 4 2
|
|
collars 5 2 3 207
|
|
collazo 82 13 5 1
|
|
colleague 3817 491 62 158
|
|
colleagues 1249 590 161 12345
|
|
collector 866 60 55 34
|
|
colleen 10 193 2 10
|
|
collenette 180 3 2 1
|
|
collett 109 13 1 2
|
|
collette 40 112 4 6
|
|
colley 134 23 8 8
|
|
collie 50 28 15 11
|
|
collier 1624 208 40 31
|
|
collin 176 12 6 5
|
|
collina 143 0 4 0
|
|
collins 11129 2205 198 231
|
|
collis 210 30 0 3
|
|
collison 729 18 3 8
|
|
collymore 303 19 2 4
|
|
colman 102 4 6 2
|
|
colom 269 0 1 2
|
|
colomb 25 252 0 1
|
|
colombian 500 27 2 2
|
|
colombo 520 11 70 30
|
|
colome 180 0 1 0
|
|
colon 2284 142 35 32
|
|
colonel 5893 112 116 191
|
|
colonna 164 8 7 11
|
|
colono 965 0 0 1
|
|
colpean 0 144 0 0
|
|
colson 243 35 4 5
|
|
colston 116 10 0 1
|
|
colt 5610 9 221 20
|
|
colton 188 39 26 11
|
|
coltrane 100 12 0 0
|
|
colts 209 1 63 7581
|
|
columnist 1498 178 50 21
|
|
columnists 11 3 9 371
|
|
columns 105 18 29 1365
|
|
colvin 603 71 16 11
|
|
colwell 515 43 3 9
|
|
coma 3235 17 7 3
|
|
comaneci 0 188 0 0
|
|
combatant 1048 1 9 5
|
|
combest 114 2 0 0
|
|
combs 3414 441 23 26
|
|
comeau 93 129 8 9
|
|
comeaux 176 17 6 1
|
|
comedian 2448 97 15 9
|
|
comedians 8 1 3 431
|
|
comer 123 37 4 3
|
|
comers 5 2 3 305
|
|
comey 987 0 16 3
|
|
comic 1172 45 96 20
|
|
commandant 109 1 4 5
|
|
commander 24154 285 433 1042
|
|
commanders 238 11 138 28466
|
|
commando 280 3 5 9
|
|
commandos 21 1 15 1693
|
|
commendation 74 4 45 5
|
|
commentaries 12 2 5 81
|
|
commentator 1814 28 22 34
|
|
commentators 208 26 101 1092
|
|
comments 2165 303 1312 2412
|
|
commercials 98 22 39 1154
|
|
commissioner 47058 6676 1410 1701
|
|
commodore 137 11 64 4
|
|
commodores 16 2 15 1522
|
|
communicator 181 9 14 2
|
|
communist 76 5 58 79
|
|
commuter 198 52 107 26
|
|
companion 542 213 110 73
|
|
companions 59 29 6 587
|
|
compartments 2 0 1 99
|
|
compatriot 377 47 3 4
|
|
compatriots 20 1 4 519
|
|
compay 194 0 2 0
|
|
complainant 713 600 32 56
|
|
complainants 13 2 2 479
|
|
complaint 1742 693 1615 497
|
|
completions 264 0 7 8
|
|
complications 141 39 69 159
|
|
composer 1008 20 44 9
|
|
compositions 14 1 7 135
|
|
compounds 26 0 13 1285
|
|
compton 840 145 50 30
|
|
comptroller 1045 311 98 29
|
|
comrade 237 6 2 9
|
|
comrades 77 6 13 2110
|
|
comrie 656 5 8 6
|
|
comstock 75 47 42 12
|
|
con 142 5 33 13
|
|
conan 99 2 2 2
|
|
conant 89 24 55 7
|
|
conard 50 24 17 14
|
|
conaway 424 26 3 3
|
|
conboy 241 12 0 1
|
|
concannon 107 7 2 0
|
|
concentrations 197 0 22 325
|
|
concepcion 110 21 4 11
|
|
concertgoers 5 2 0 243
|
|
concha 166 71 1 0
|
|
concussion 3160 24 28 5
|
|
concussions 82 21 5 15
|
|
condi 0 134 4 1
|
|
condit 1255 30 12 2
|
|
conditt 121 0 0 0
|
|
condolences 111 18 8 37
|
|
condon 914 78 12 8
|
|
conductor 1417 34 38 27
|
|
conductors 13 2 10 179
|
|
cone 1497 48 126 21
|
|
cones 24 1 7 69
|
|
coney 159 7 3 3
|
|
confession 377 34 244 16
|
|
confidant 794 7 3 8
|
|
confidante 256 15 0 3
|
|
confidants 507 1 1 42
|
|
confinement 86 54 72 12
|
|
congaree 188 0 2 0
|
|
congdon 133 12 3 4
|
|
congemi 122 1 0 1
|
|
conger 113 22 4 0
|
|
congolese 5 0 0 164
|
|
congratulations 204 25 39 39
|
|
congregants 24 2 5 806
|
|
congressman 10237 46 98 181
|
|
congressmen 130 5 30 1479
|
|
congresswoman 12 526 2 2
|
|
conine 933 0 0 2
|
|
conklin 773 79 15 16
|
|
conley 1127 278 23 25
|
|
conlin 69 50 1 4
|
|
conlon 223 259 10 3
|
|
conman 112 8 1 2
|
|
conn 255 56 9 13
|
|
connally 39 45 19 5
|
|
connaughton 104 13 8 1
|
|
connections 194 53 170 2903
|
|
conneh 95 3 3 0
|
|
connell 508 140 23 7
|
|
connelly 557 246 12 26
|
|
conner 845 688 55 48
|
|
connerly 468 1 5 2
|
|
conners 155 29 1 15
|
|
connery 291 7 4 10
|
|
connick 152 2 0 2
|
|
connie 42 462 13 37
|
|
connolly 1945 259 42 41
|
|
connor 1279 179 26 21
|
|
connors 900 73 53 44
|
|
conover 217 47 8 1
|
|
conqueror 155 3 5 5
|
|
conrad 1098 180 32 27
|
|
conradt 5 291 2 6
|
|
conran 132 5 1 1
|
|
conroy 1180 127 25 20
|
|
conry 165 11 0 2
|
|
conservationist 166 7 1 2
|
|
conservative 2632 73 93 130
|
|
considine 126 10 2 1
|
|
conspiracy 286 31 214 152
|
|
conspirator 493 7 0 0
|
|
conspirators 11 2 5 294
|
|
constable 2003 245 40 142
|
|
constables 12 1 4 291
|
|
constance 89 46 2 10
|
|
constant 1036 12 48 27
|
|
constantine 522 31 50 5
|
|
constituent 65 33 55 33
|
|
constituents 156 46 35 2330
|
|
consul 614 30 29 18
|
|
consultant 1920 502 729 257
|
|
consultations 61 9 54 57
|
|
contacts 198 24 72 3304
|
|
conte 4979 90 20 44
|
|
contemporaries 17 3 5 177
|
|
contender 3421 64 185 104
|
|
contenders 72 1 41 3547
|
|
contestant 299 191 35 98
|
|
contestants 45 23 39 4750
|
|
contests 82 10 78 222
|
|
conti 232 30 11 5
|
|
contorno 2 105 0 0
|
|
contract 7501 460 7164 1285
|
|
contractor 2308 103 1451 436
|
|
contrast 584 70 452 315
|
|
contreras 4487 97 41 24
|
|
contributions 625 98 406 906
|
|
contributor 333 100 142 51
|
|
controller 2093 251 216 134
|
|
contusion 173 17 1 1
|
|
conversations 150 33 131 2334
|
|
convert 535 13 18 14
|
|
convertino 1078 0 3 1
|
|
convict 696 12 7 8
|
|
conviction 8507 137 467 101
|
|
convictions 250 19 53 226
|
|
conway 3771 238 121 72
|
|
conwell 109 16 3 1
|
|
conyers 338 25 22 10
|
|
coo 73 20 11 9
|
|
coody 100 4 1 2
|
|
cooey 104 4 1 0
|
|
coogan 164 31 9 1
|
|
coogler 108 1 0 0
|
|
cook 7461 1726 139 221
|
|
cooke 1905 290 32 45
|
|
cooks 35 21 25 916
|
|
cooksey 127 77 1 5
|
|
cooley 2156 103 25 55
|
|
coolidge 60 49 41 8
|
|
coombs 149 64 2 17
|
|
coon 124 64 22 11
|
|
coonan 51 84 1 2
|
|
cooney 390 45 59 11
|
|
coons 140 32 2 12
|
|
cooper 9994 1462 476 229
|
|
coordinator 4207 374 131 235
|
|
coors 634 2 457 31
|
|
cop 1597 112 87 77
|
|
cope 647 102 36 30
|
|
copeland 1175 361 35 48
|
|
copland 296 2 2 0
|
|
copley 207 33 25 6
|
|
copp 156 11 5 1
|
|
coppell 102 5 56 14
|
|
coppenrath 96 0 0 7
|
|
coppola 245 271 7 6
|
|
copps 198 1017 39 5
|
|
cops 357 92 114 2963
|
|
copts 1 0 0 195
|
|
cora 458 68 12 7
|
|
corallo 170 0 2 0
|
|
corbett 822 142 29 19
|
|
corbin 607 68 20 22
|
|
corcoran 466 112 42 15
|
|
cordell 69 64 1 5
|
|
corder 69 28 1 2
|
|
cordero 1237 55 9 14
|
|
cordes 60 50 9 9
|
|
cordesman 198 0 18 1
|
|
cordier 366 3 0 0
|
|
cordone 110 0 0 0
|
|
cordova 305 75 26 9
|
|
cords 36 4 11 287
|
|
corey 882 72 12 25
|
|
corgan 113 3 4 3
|
|
coria 5295 0 10 42
|
|
cork 121 15 112 243
|
|
corley 422 70 4 8
|
|
corman 56 59 0 3
|
|
cormier 613 40 9 9
|
|
cornejo 479 29 2 3
|
|
cornelison 129 9 0 0
|
|
cornelius 376 62 12 14
|
|
cornerback 3106 1 10 30
|
|
cornerbacks 19 0 9 234
|
|
cornett 217 61 2 5
|
|
cornette 248 4 37 1
|
|
cornfield 192 1 7 3
|
|
cornish 191 58 12 6
|
|
cornwall 74 8 40 52
|
|
cornwell 339 86 6 6
|
|
cornyn 512 2 7 5
|
|
corona 122 51 86 17
|
|
coronado 74 30 53 15
|
|
coroner 2109 130 126 62
|
|
corporal 938 9 2 7
|
|
corpses 2 5 3 2465
|
|
corpsman 373 3 0 2
|
|
corpus 260 4 7 9
|
|
corpuz 472 10 0 9
|
|
corr 75 8 15 6
|
|
corral 79 34 15 3
|
|
corrales 288 39 5 3
|
|
correa 174 720 5 14
|
|
correia 184 43 8 4
|
|
correll 140 39 3 1
|
|
correspondent 2699 109 170 309
|
|
correspondents 73 5 61 787
|
|
corretja 324 0 0 10
|
|
corrie 63 152 12 0
|
|
corrigan 427 112 20 6
|
|
corry 91 24 8 7
|
|
corso 89 22 2 4
|
|
corson 422 15 1 5
|
|
cort 113 10 9 2
|
|
cortes 192 48 8 6
|
|
cortese 102 8 2 2
|
|
cortez 1203 71 21 33
|
|
corwin 383 33 10 3
|
|
cory 578 57 8 12
|
|
coryell 381 2 0 0
|
|
corzine 1453 15 11 13
|
|
cos 119 0 29 9
|
|
cosby 1993 42 17 22
|
|
cosgrove 388 38 12 5
|
|
cosmonaut 432 0 2 23
|
|
costa 3161 206 32 30
|
|
costantino 380 13 2 8
|
|
costanza 98 5 3 2
|
|
costanzo 86 20 5 2
|
|
costas 575 7 8 10
|
|
costello 2700 177 74 53
|
|
costinha 146 0 1 9
|
|
costner 304 11 0 3
|
|
costumes 23 14 16 775
|
|
cota 168 14 13 7
|
|
cote 605 170 9 9
|
|
cotler 228 3 2 3
|
|
cotsakos 281 0 1 1
|
|
cotta 164 4 3 1
|
|
cottagers 6 0 2 239
|
|
cotten 124 22 1 1
|
|
cotter 335 54 38 20
|
|
cotterill 99 8 1 3
|
|
cottle 94 51 4 0
|
|
cotto 356 8 3 3
|
|
cotton 1094 126 241 50
|
|
cottrell 897 138 12 13
|
|
couch 5788 165 188 65
|
|
couches 4 0 0 107
|
|
coughlan 102 37 3 6
|
|
coughlin 4895 644 42 35
|
|
coulson 149 70 4 2
|
|
coulter 239 194 11 14
|
|
coulthard 907 2 19 5
|
|
councillor 4682 1296 250 267
|
|
councilman 21182 188 333 317
|
|
councilmen 45 5 7 606
|
|
councilor 444 97 11 15
|
|
councilwoman 8 394 6 5
|
|
counsel 7035 467 631 790
|
|
counsell 333 0 2 3
|
|
counsellor 73 54 2 18
|
|
counselor 550 477 36 83
|
|
counselors 45 23 28 2464
|
|
count 1184 67 721 173
|
|
counterattack 198 1 36 2
|
|
counterpart 2098 87 165 149
|
|
countersuit 299 5 18 25
|
|
countess 33 265 8 8
|
|
countryman 376 16 7 4
|
|
countrymen 29 1 5 702
|
|
counts 2079 110 114 267
|
|
couple 2681 1168 2600 68973
|
|
couples 797 80 138 19671
|
|
courage 473 213 311 524
|
|
couric 23 515 7 2
|
|
courier 322 20 76 18
|
|
couriers 4 0 0 397
|
|
courtesy 123 22 100 53
|
|
courtney 765 566 33 31
|
|
courtside 857 4 0 4
|
|
cousin 5701 804 70 126
|
|
cousins 280 58 55 538
|
|
coutelot 218 0 0 0
|
|
couto 105 29 0 8
|
|
coutts 985 18 22 21
|
|
coutu 54 45 32 2
|
|
couture 197 37 30 2
|
|
covarrubias 299 12 0 5
|
|
coverdale 196 18 3 0
|
|
covert 166 15 1 4
|
|
covey 200 35 2 6
|
|
covington 224 96 102 22
|
|
cowan 678 179 34 24
|
|
coward 458 43 9 5
|
|
cowart 392 16 3 4
|
|
cowboy 1192 6 23 22
|
|
cowboys 303 0 163 10154
|
|
cowell 623 48 6 19
|
|
cowen 391 11 31 10
|
|
cowher 3293 6 11 69
|
|
cowin 31 69 5 1
|
|
cowles 193 111 3 5
|
|
cowley 97 31 62 10
|
|
coworkers 28 14 3 119
|
|
cox 6706 1609 894 211
|
|
coy 203 24 1 3
|
|
coyle 808 155 15 23
|
|
coyne 681 50 7 14
|
|
coyotes 90 4 62 2488
|
|
crabb 112 65 7 7
|
|
crabtree 305 58 8 9
|
|
craddick 822 14 7 22
|
|
craddock 99 40 2 3
|
|
crafters 0 3 1 299
|
|
craftsman 270 0 9 13
|
|
cragg 363 7 0 15
|
|
craig 3393 415 74 104
|
|
craigie 127 5 1 0
|
|
crain 212 153 48 4
|
|
cralley 146 0 0 0
|
|
cramer 1181 139 55 10
|
|
crampton 74 20 12 3
|
|
crandall 170 70 17 13
|
|
crandell 126 27 2 2
|
|
crane 2511 238 292 91
|
|
craner 133 0 2 12
|
|
cranford 93 18 10 2
|
|
crank 418 9 28 4
|
|
cranston 67 11 33 8
|
|
crash 1353 183 710 285
|
|
crates 28 10 10 234
|
|
craven 1217 150 26 19
|
|
cravins 134 8 3 1
|
|
crawford 8890 671 95 93
|
|
crawley 201 59 10 83
|
|
craybas 1 126 1 1
|
|
crayton 154 17 1 0
|
|
creamer 120 550 8 15
|
|
crean 2439 19 51 20
|
|
crease 91 6 65 5
|
|
creasy 109 14 1 2
|
|
creator 1130 93 174 24
|
|
crede 450 0 1 5
|
|
credentials 290 45 108 341
|
|
credits 139 60 100 331
|
|
creech 176 57 7 3
|
|
creed 90 16 83 113
|
|
creedon 118 8 2 0
|
|
creel 203 26 4 3
|
|
crenna 168 0 0 0
|
|
crenshaw 656 67 9 5
|
|
crespo 570 9 1 13
|
|
cresswell 95 26 2 3
|
|
crewe 18 10 8 310
|
|
crewman 430 1 1 9
|
|
crewmates 18 1 0 140
|
|
crews 554 196 307 11867
|
|
cribbs 210 26 2 3
|
|
crichton 377 5 2 10
|
|
crick 602 27 4 8
|
|
cricketer 1240 3 18 30
|
|
crider 136 31 8 10
|
|
cries 75 13 5 33
|
|
crimes 356 30 252 6708
|
|
criminal 1981 19 62 105
|
|
cripps 79 14 7 6
|
|
crisp 801 50 20 11
|
|
criss 54 196 3 9
|
|
crist 926 35 16 15
|
|
cristiano 216 3 1 1
|
|
criswell 101 19 2 0
|
|
crites 80 16 3 2
|
|
critic 3155 163 159 49
|
|
crittenden 218 47 10 3
|
|
croat 563 19 0 5
|
|
croatian 383 30 0 2
|
|
croce 429 15 5 1
|
|
crocker 1331 127 14 20
|
|
crockett 489 118 24 14
|
|
croft 373 125 14 11
|
|
cromartie 149 8 0 3
|
|
cromer 109 12 4 9
|
|
crompton 81 19 48 9
|
|
cromwell 130 43 76 21
|
|
cron 145 7 5 1
|
|
crone 93 32 1 3
|
|
cronies 19 0 4 426
|
|
cronin 567 103 17 29
|
|
cronje 330 13 9 1
|
|
cronkite 341 8 1 3
|
|
cronyn 1001 0 0 0
|
|
crook 421 81 20 12
|
|
crooks 149 44 10 309
|
|
croom 1972 21 8 11
|
|
crooner 449 16 2 6
|
|
cropp 31 1006 7 10
|
|
crosbie 122 18 0 2
|
|
crosby 2833 241 46 56
|
|
croshere 292 0 4 4
|
|
cross 1855 453 1197 200
|
|
crossbar 71 4 28 13
|
|
crossland 99 9 3 0
|
|
crossley 190 19 6 2
|
|
crosson 112 5 1 1
|
|
croteau 194 28 4 0
|
|
crotty 177 25 7 7
|
|
crouch 1551 102 18 20
|
|
crouse 147 54 16 5
|
|
crouthamel 212 0 2 2
|
|
crow 599 731 71 25
|
|
crowder 628 86 11 8
|
|
crowe 1727 159 15 55
|
|
crowell 322 50 9 7
|
|
crowley 929 182 44 52
|
|
crowther 77 26 4 1
|
|
crowton 586 1 4 7
|
|
croydon 11 40 38 51
|
|
croyle 298 2 3 2
|
|
crozier 244 30 6 5
|
|
crudup 263 1 2 2
|
|
cruise 1931 26 193 131
|
|
crum 296 61 9 7
|
|
crummley 199 0 0 0
|
|
crump 145 14 3 4
|
|
crumpler 191 4 1 0
|
|
crusader 603 27 14 6
|
|
crutchfield 151 52 8 4
|
|
crutchley 101 1 0 2
|
|
cruz 6873 956 59 163
|
|
crvenkovski 148 0 3 1
|
|
cry 299 82 155 77
|
|
cryer 117 14 0 0
|
|
crystal 392 384 181 83
|
|
cuaron 204 0 1 2
|
|
cuban 1738 12 18 16
|
|
cubans 17 0 12 3078
|
|
cubbage 249 5 0 0
|
|
cube 70 0 67 3
|
|
cubin 3 334 0 0
|
|
cubs 469 4 198 13058
|
|
cuddyer 138 1 1 0
|
|
cudicini 266 0 1 0
|
|
cuellar 510 26 2 2
|
|
cues 23 5 13 112
|
|
cueto 110 2 0 2
|
|
cuevas 150 1942 6 10
|
|
cuff 703 7 7 5
|
|
cuffe 99 9 1 1
|
|
cuffy 190 1 0 0
|
|
culberson 119 17 2 4
|
|
culbertson 307 42 39 22
|
|
culbreth 93 11 0 0
|
|
culkin 429 0 0 0
|
|
cull 48 9 37 22
|
|
cullen 5302 147 47 181
|
|
cullinan 136 8 9 1
|
|
culloty 118 0 0 0
|
|
cullum 256 5 1 4
|
|
culp 188 67 29 8
|
|
culpepper 2582 44 8 15
|
|
culprit 509 16 60 39
|
|
culuko 163 0 1 0
|
|
culver 270 64 27 14
|
|
cumbie 105 0 3 4
|
|
cumming 170 18 10 13
|
|
cummings 1615 301 27 79
|
|
cummins 409 101 280 27
|
|
cundiff 375 84 1 3
|
|
cunego 119 0 2 2
|
|
cuneo 133 37 3 3
|
|
cunha 130 5 4 6
|
|
cunliffe 93 6 0 3
|
|
cunningham 3230 634 108 79
|
|
cuomo 325 12 7 4
|
|
cuper 103 0 2 1
|
|
cupid 103 4 6 0
|
|
cupp 97 55 3 7
|
|
curator 426 189 78 30
|
|
curators 16 5 6 371
|
|
curbishley 479 2 6 29
|
|
cureton 81 55 0 1
|
|
curl 145 22 13 3
|
|
curle 117 1 0 5
|
|
curley 331 33 9 8
|
|
curmudgeon 115 1 2 0
|
|
curran 868 159 14 11
|
|
currie 373 181 16 71
|
|
currier 154 38 5 8
|
|
currin 93 9 4 6
|
|
curry 3559 453 89 90
|
|
curt 587 5 27 2
|
|
curtains 42 4 14 65
|
|
curtatone 172 0 1 3
|
|
curtin 272 55 14 6
|
|
curtis 5998 555 120 68
|
|
cusack 191 38 1 6
|
|
cushing 159 21 13 13
|
|
cushions 16 2 5 257
|
|
cushman 121 111 6 8
|
|
cusick 258 59 2 4
|
|
custer 344 29 20 8
|
|
custodian 317 89 37 18
|
|
custody 714 168 165 471
|
|
customer 2833 1061 1828 2697
|
|
cutback 98 0 31 4
|
|
cutcliffe 715 2 0 7
|
|
cuthbert 40 106 3 1
|
|
cutler 742 145 17 32
|
|
cutright 15 94 0 0
|
|
cutter 184 61 160 22
|
|
cutters 9 2 4 286
|
|
cvjetan 102 0 0 0
|
|
cyclist 1286 124 8 21
|
|
cynics 53 9 34 104
|
|
cynthia 5 312 1 11
|
|
cyr 150 37 1 1
|
|
cyst 325 82 17 0
|
|
czar 440 25 7 7
|
|
czech 412 15 17 27
|
|
d 1018 254 309 144
|
|
daal 308 0 1 2
|
|
dabney 94 20 2 1
|
|
dacey 130 21 4 2
|
|
dacourt 106 0 1 0
|
|
dad 13355 351 500 516
|
|
daddy 1525 49 37 33
|
|
dafoe 549 2 3 0
|
|
daft 287 0 3 0
|
|
dagenais 263 6 1 1
|
|
daggett 54 52 3 0
|
|
dahl 339 102 5 10
|
|
dahlan 1710 0 15 2
|
|
dahlen 177 3 0 2
|
|
dai 127 26 10 1
|
|
daigle 522 45 6 7
|
|
dailey 709 136 10 11
|
|
dailies 10 2 9 190
|
|
dailly 125 0 0 1
|
|
daisy 108 154 26 11
|
|
dajka 308 0 2 0
|
|
dakides 0 196 0 0
|
|
dakota 79 41 76 29
|
|
dale 1675 168 37 127
|
|
dalembert 395 0 0 3
|
|
daley 2345 169 35 28
|
|
dalglish 57 51 2 1
|
|
dali 194 5 3 4
|
|
dalia 3 94 4 1
|
|
dalits 2 1 1 118
|
|
dallaglio 435 0 5 5
|
|
dallaire 240 2 0 1
|
|
dallek 220 3 0 2
|
|
dalli 102 1 2 1
|
|
dalmiya 429 0 40 19
|
|
dalquist 5 143 1 2
|
|
dalrymple 136 20 5 5
|
|
dalton 1322 245 86 52
|
|
daly 6902 263 55 44
|
|
dalzell 86 14 8 4
|
|
dalziel 69 198 11 27
|
|
damaa 107 0 0 0
|
|
damage 3102 315 2500 704
|
|
dame 63 54 45 6
|
|
damian 175 13 5 5
|
|
damien 362 5 26 10
|
|
dammann 5 2071 3 1
|
|
damon 3028 25 30 26
|
|
damphousse 713 0 1 19
|
|
dampier 1032 10 0 5
|
|
damra 798 0 0 2
|
|
damron 324 33 1 5
|
|
dan 2599 30 41 77
|
|
dancer 466 686 15 49
|
|
dances 23 6 20 291
|
|
dancevic 112 2 0 1
|
|
dancy 118 8 0 3
|
|
dane 785 27 7 20
|
|
danelius 169 0 0 0
|
|
danes 11 29 6 484
|
|
daneyko 328 0 0 3
|
|
danforth 1339 52 40 6
|
|
dang 99 12 0 3
|
|
dangerfield 977 7 1 3
|
|
dani 46 49 3 6
|
|
daniel 4058 450 67 112
|
|
danielle 12 1308 16 23
|
|
daniels 5950 494 77 141
|
|
danielson 207 51 9 18
|
|
daniher 201 0 8 4
|
|
daniilidou 0 258 2 0
|
|
danilov 163 0 0 2
|
|
danilova 0 167 0 0
|
|
danish 892 2 109 12
|
|
danison 5 145 0 0
|
|
danka 175 2 19 2
|
|
danley 98 18 0 0
|
|
dann 115 22 1 4
|
|
danner 70 81 6 5
|
|
danns 7 0 0 193
|
|
danny 2441 22 31 53
|
|
danser 122 3 0 2
|
|
danson 291 6 0 3
|
|
dante 158 1 10 5
|
|
dantica 208 0 0 0
|
|
danton 5532 23 10 4
|
|
dantonio 171 0 0 1
|
|
dantzler 327 8 2 1
|
|
dany 137 1 0 1
|
|
danza 109 0 4 3
|
|
danze 103 2 0 1
|
|
daoud 154 3 2 3
|
|
daphne 20 127 18 9
|
|
dar 173 8 33 14
|
|
daraghmeh 4 102 0 1
|
|
darby 1044 62 27 22
|
|
darcy 198 90 1 17
|
|
darden 229 46 116 9
|
|
dardenne 163 68 3 1
|
|
dare 234 68 155 243
|
|
daredevils 1 0 0 112
|
|
darfurians 1 0 0 101
|
|
darin 417 6 2 2
|
|
daring 36 24 30 80
|
|
dario 159 0 2 6
|
|
darius 949 3 0 9
|
|
dariye 111 0 0 2
|
|
dark 98 24 76 71
|
|
darkazanli 195 2 0 0
|
|
darlene 10 206 5 23
|
|
darley 76 6 16 12
|
|
darling 1280 203 120 26
|
|
darnell 448 67 31 6
|
|
darrah 156 22 2 3
|
|
darrell 459 7 5 14
|
|
darren 1553 9 21 24
|
|
darrow 315 16 7 1
|
|
darryl 327 3 3 7
|
|
dart 72 139 132 5
|
|
darwazeh 119 0 0 0
|
|
darwin 340 14 48 26
|
|
daryl 198 10 3 5
|
|
das 380 43 34 23
|
|
daschle 6009 9 25 69
|
|
dash 245 61 81 38
|
|
dasilva 376 30 1 6
|
|
datsyuk 655 0 2 1
|
|
daubach 388 0 4 0
|
|
daugherty 803 166 10 16
|
|
daughter 2253 53948 418 1379
|
|
daughters 467 304 128 7475
|
|
daughtry 121 35 3 0
|
|
daulton 306 5 0 1
|
|
daunte 113 0 0 3
|
|
davanon 234 0 0 1
|
|
dave 2760 43 88 188
|
|
davenport 787 10354 106 35
|
|
davey 1403 55 19 17
|
|
davico 167 0 0 0
|
|
david 11633 260 220 288
|
|
davide 102 2 4 7
|
|
davids 313 16 2 19
|
|
davidson 2897 656 188 86
|
|
davie 162 16 34 2
|
|
davies 2541 931 84 125
|
|
davila 473 39 1 4
|
|
davis 67923 4792 832 810
|
|
davises 2 0 1 104
|
|
davison 743 121 40 6
|
|
davy 173 31 20 10
|
|
davydenko 251 0 0 0
|
|
dawe 102 7 0 7
|
|
dawes 225 69 3 5
|
|
dawkins 715 120 12 6
|
|
dawley 116 33 2 3
|
|
dawn 132 472 146 71
|
|
dawood 155 8 1 1
|
|
dawoud 400 0 0 76
|
|
dawson 2429 366 91 80
|
|
daye 95 18 1 0
|
|
dayne 443 3 1 2
|
|
dayton 1165 65 576 72
|
|
daze 611 0 7 3
|
|
de 2566 47 283 114
|
|
deacon 557 36 4 10
|
|
deaf 40 29 24 39
|
|
dealer 2499 122 373 196
|
|
dean 66824 902 591 311
|
|
deane 337 91 5 8
|
|
deangelis 170 119 6 2
|
|
deanna 5 183 1 11
|
|
deans 223 41 13 218
|
|
dear 135 23 21 22
|
|
dearden 151 7 2 10
|
|
dearing 175 22 1 6
|
|
deason 95 14 0 4
|
|
deasy 134 8 2 4
|
|
death 4125 964 3253 1566
|
|
deathbed 162 2 1 2
|
|
deaton 160 27 3 5
|
|
deaver 148 15 1 3
|
|
deb 36 193 12 12
|
|
debacle 348 8 106 15
|
|
debakey 128 0 2 0
|
|
debates 88 11 87 1447
|
|
debbie 32 837 17 46
|
|
debeer 40 292 0 0
|
|
deberry 329 6 4 4
|
|
deboer 165 28 3 3
|
|
debolt 437 13 2 2
|
|
deborah 8 427 6 13
|
|
debord 133 4 8 0
|
|
debra 13 239 4 18
|
|
debusschere 145 0 0 1
|
|
debut 670 90 630 129
|
|
debutant 189 1 4 0
|
|
decarlo 89 18 1 2
|
|
deccio 118 0 0 0
|
|
deceased 615 109 13 191
|
|
decency 47 7 43 44
|
|
deception 906 1 99 12
|
|
deceptions 429 0 2 2
|
|
dechellis 147 3 2 1
|
|
dechy 0 393 1 2
|
|
decicco 17 79 3 1
|
|
decker 816 249 18 25
|
|
declercq 167 2 0 1
|
|
deco 251 0 9 0
|
|
decrees 2 1 1 121
|
|
dedge 147 1 0 1
|
|
dee 636 169 14 27
|
|
deeds 104 19 30 122
|
|
deegan 212 26 2 2
|
|
deemer 96 8 1 1
|
|
deen 54 105 0 4
|
|
deering 74 30 10 7
|
|
dees 128 33 5 14
|
|
deese 371 22 3 5
|
|
defazio 311 11 2 45
|
|
defeated 81 10 45 58
|
|
defector 725 10 9 12
|
|
defenbaugh 522 10 0 0
|
|
defenceman 502 0 4 17
|
|
defencemen 7 0 3 97
|
|
defences 13 1 11 266
|
|
defendant 16131 1043 258 370
|
|
defendants 146 69 144 20617
|
|
defender 9370 236 139 112
|
|
defenders 452 57 280 3856
|
|
defenseman 2559 6 35 16
|
|
defensemen 24 0 5 337
|
|
defenses 63 12 47 2115
|
|
defensive 2603 9 69 60
|
|
defensor 154 19 1 19
|
|
deference 167 1 27 17
|
|
defilippo 103 4 0 3
|
|
defining 976 5 9 5
|
|
defoe 648 9 4 16
|
|
deformity 2 1301 2 0
|
|
degarmo 9 676 4 2
|
|
degeneres 2 577 0 4
|
|
degeurin 32 392 0 3
|
|
degioia 198 0 1 0
|
|
deguerin 199 0 0 1
|
|
dehart 76 59 2 3
|
|
dehaven 144 14 12 12
|
|
dehecq 202 0 6 0
|
|
deion 117 0 2 0
|
|
deisler 102 0 2 0
|
|
deiss 114 1 4 1
|
|
deity 137 0 10 0
|
|
dejean 125 3 0 2
|
|
dejesus 372 34 4 7
|
|
del 359 91 71 13
|
|
delacruz 353 14 0 6
|
|
delahoussaye 126 16 0 0
|
|
delahunt 200 19 1 1
|
|
delamielleure 300 0 0 0
|
|
delaney 1293 193 21 25
|
|
delano 44 38 13 6
|
|
delany 141 27 1 4
|
|
delasin 0 151 0 0
|
|
delauro 3 156 2 6
|
|
delay 8058 65 858 260
|
|
delegate 2261 148 67 122
|
|
deleon 160 91 3 5
|
|
delfino 120 4 0 2
|
|
delgadillo 82 16 3 0
|
|
delgado 3652 125 21 31
|
|
delgrosso 154 0 2 0
|
|
delhomme 2772 0 103 18
|
|
delia 41 114 4 2
|
|
deliberations 97 21 69 75
|
|
delight 71 20 70 72
|
|
delimar 7 214 1 0
|
|
delinquents 3 0 1 117
|
|
delisle 86 20 1 6
|
|
deliveryman 608 1 3 4
|
|
delk 235 17 3 2
|
|
della 26 134 4 3
|
|
dellinger 232 88 4 1
|
|
dellosa 143 0 0 0
|
|
dellucci 480 0 2 1
|
|
delmore 166 11 0 0
|
|
deloach 113 24 4 9
|
|
delong 274 45 6 5
|
|
delp 168 10 2 2
|
|
deluca 577 258 10 9
|
|
delucchi 1059 6 5 36
|
|
delvecchio 172 21 0 0
|
|
demarco 271 33 3 3
|
|
demeanor 1661 52 58 10
|
|
demeanour 171 7 11 10
|
|
dement 104 73 2 0
|
|
dementieva 0 3443 12 58
|
|
dementors 3 1 1 152
|
|
demeritte 86 17 0 0
|
|
demers 262 36 3 7
|
|
demetriou 214 6 5 7
|
|
demint 1004 13 11 3
|
|
demitra 411 0 0 1
|
|
demjanjuk 677 0 54 0
|
|
democrat 16784 1045 178 372
|
|
democrats 2336 295 1320 84454
|
|
demoff 114 0 1 0
|
|
demon 218 7 50 4
|
|
demons 86 12 34 1236
|
|
demonstrator 143 45 13 46
|
|
demonstrators 60 24 44 9994
|
|
demoss 37 80 5 1
|
|
demotion 436 1 23 4
|
|
demoustier 104 0 0 12
|
|
dempsey 1127 104 11 18
|
|
dempster 701 13 3 2
|
|
demuth 94 42 5 0
|
|
den 99 16 68 15
|
|
dena 8 124 10 3
|
|
deng 1334 26 18 6
|
|
denham 219 26 4 6
|
|
denis 995 8 15 12
|
|
denise 40 458 1 23
|
|
denison 112 43 62 8
|
|
denktas 372 0 24 241
|
|
denktash 918 0 103 9
|
|
denman 121 26 2 4
|
|
dennehy 15072 30 7 32
|
|
denner 189 2 1 6
|
|
dennett 88 19 0 0
|
|
denney 632 29 10 7
|
|
denning 103 62 1 3
|
|
dennis 2823 284 59 96
|
|
dennison 242 95 3 21
|
|
denny 406 69 16 20
|
|
dens 4 0 1 151
|
|
densmore 98 10 0 5
|
|
denson 218 79 8 4
|
|
dent 1751 104 102 69
|
|
dentist 1302 232 31 47
|
|
denton 532 129 31 27
|
|
depardieu 117 0 0 2
|
|
departure 8559 82 573 177
|
|
depodesta 680 0 2 3
|
|
deportation 97 15 76 67
|
|
deportees 2 0 1 186
|
|
deposition 240 48 36 14
|
|
depositions 13 1 5 247
|
|
depp 1177 8 10 6
|
|
deppner 117 0 0 0
|
|
deputies 2300 579 190 12421
|
|
deputy 21781 1282 511 675
|
|
derbez 188 0 2 0
|
|
derbyshire 38 17 7 207
|
|
derderian 571 3 2 0
|
|
derek 1524 73 15 21
|
|
dergoul 143 0 0 0
|
|
derksen 159 4 22 1
|
|
derlei 129 0 1 0
|
|
dern 42 65 0 0
|
|
deromedi 119 1 1 0
|
|
deronjic 115 0 0 0
|
|
derosa 928 31 6 9
|
|
derr 110 14 2 3
|
|
derrick 619 42 19 28
|
|
derrida 236 0 1 0
|
|
derry 82 19 36 211
|
|
dershowitz 110 2 17 3
|
|
desai 393 48 15 20
|
|
desailly 407 0 6 3
|
|
desalvo 104 4 5 1
|
|
desantis 129 29 1 1
|
|
descendant 243 14 10 2
|
|
descendants 62 5 19 1474
|
|
deschamps 222 6 1 5
|
|
deserter 1003 10 2 5
|
|
deshmukh 234 4 4 6
|
|
designer 1243 490 313 104
|
|
desilva 109 14 5 2
|
|
desimone 109 35 1 0
|
|
desjardins 689 9 56 4
|
|
desk 624 88 350 121
|
|
desks 7 2 1 503
|
|
desmond 428 32 8 11
|
|
desormeaux 108 3 0 0
|
|
desoto 51 101 72 14
|
|
despain 258 21 1 3
|
|
despatie 138 0 0 1
|
|
despot 286 1 4 4
|
|
despots 1 0 0 210
|
|
desrosiers 70 35 4 1
|
|
dessens 340 0 4 0
|
|
destefano 291 19 4 13
|
|
detainee 9754 32 7 38
|
|
detective 5060 352 55 134
|
|
detectives 1474 472 141 11321
|
|
detention 341 22 266 200
|
|
detentions 2 0 0 664
|
|
detmer 1868 0 1 3
|
|
detractors 579 54 139 366
|
|
dettori 496 12 7 0
|
|
deuba 230 0 2 2
|
|
deuce 336 1 6 7
|
|
deuel 873 6 2 2
|
|
deutsch 706 58 32 12
|
|
dev 99 6 17 5
|
|
devaney 172 57 1 3
|
|
deveau 14 320 0 0
|
|
dever 79 31 3 4
|
|
devereaux 242 35 3 1
|
|
devers 57 2415 12 2
|
|
devi 6 90 3 2
|
|
devil 883 22 117 37
|
|
devin 200 39 6 3
|
|
devine 911 159 27 29
|
|
devito 224 16 0 3
|
|
devlin 542 86 10 99
|
|
devoe 163 13 3 7
|
|
devore 228 27 0 5
|
|
devos 110 87 2 8
|
|
devotee 87 13 3 1
|
|
devries 1964 83 5 8
|
|
dew 132 29 16 10
|
|
dewalt 67 16 25 3
|
|
dewar 101 32 3 9
|
|
deweese 241 19 6 11
|
|
dewey 219 69 18 13
|
|
dewhurst 887 6 19 14
|
|
dewine 256 1 5 1
|
|
dewitt 674 99 26 17
|
|
dexter 267 48 173 30
|
|
dey 53 35 20 3
|
|
deya 91 10 0 1
|
|
deyoung 141 63 5 5
|
|
dflers 2 3 2 190
|
|
dh 628 1 29 2
|
|
dhafir 193 0 0 2
|
|
dhaliwal 277 1 2 4
|
|
dhillon 108 23 6 4
|
|
dhirubhai 127 0 0 0
|
|
dhlakama 115 0 1 0
|
|
di 122 32 33 11
|
|
diabetic 595 37 9 10
|
|
diablos 2 0 1 109
|
|
diallo 259 23 2 4
|
|
dials 103 5 2 5
|
|
diamandis 90 0 40 19
|
|
diamond 2019 203 318 68
|
|
diamondbacks 256 0 26 5267
|
|
diana 163 5373 17 81
|
|
diane 39 634 6 45
|
|
dianne 4 113 1 12
|
|
diapers 17 7 16 95
|
|
diaries 38 17 20 42
|
|
diarra 169 1 2 2
|
|
dias 109 63 3 2
|
|
diaz 3294 1190 50 68
|
|
dibble 167 27 2 2
|
|
dibella 172 36 3 5
|
|
dibiaggio 176 1 2 0
|
|
dibiagio 343 3 0 2
|
|
dicamillo 54 47 2 3
|
|
dicaprio 743 2 7 2
|
|
dice 71 15 26 28
|
|
dichter 124 4 7 1
|
|
dicicco 126 4 1 2
|
|
dick 1639 144 36 38
|
|
dickau 142 1 1 2
|
|
dickenman 99 0 1 2
|
|
dickens 288 47 10 4
|
|
dickenson 422 38 6 3
|
|
dickerman 185 12 0 0
|
|
dickerson 759 183 13 17
|
|
dickey 1121 105 13 12
|
|
dickie 168 11 4 1
|
|
dickinson 1003 213 125 35
|
|
dickman 76 24 2 2
|
|
dickov 234 0 1 1
|
|
dicks 142 34 3 7
|
|
dickson 720 193 15 41
|
|
dictator 8955 3 147 22
|
|
dida 170 2 1 2
|
|
diddy 156 0 0 1
|
|
didier 103 14 1 4
|
|
didion 109 17 0 0
|
|
didnt 124 10 44 59
|
|
dido 9 219 4 0
|
|
died 521 40 4 17
|
|
diedrich 316 21 2 3
|
|
diedrick 177 0 0 3
|
|
diego 419 9 3 9
|
|
diehl 309 66 5 9
|
|
diener 539 17 1 3
|
|
dieters 9 2 8 1096
|
|
dietrich 146 114 5 8
|
|
dietz 374 77 1 14
|
|
difelice 120 1 4 0
|
|
difranco 17 118 0 0
|
|
diggs 454 40 1 18
|
|
digiovanni 117 21 1 0
|
|
dignitaries 17 9 7 950
|
|
digs 13 83 15 48
|
|
dikshit 6 124 2 3
|
|
dilawar 109 0 0 0
|
|
dilfer 379 0 3 5
|
|
diligence 76 2 60 18
|
|
dill 418 63 9 14
|
|
dillard 382 144 87 23
|
|
diller 933 17 27 4
|
|
dilley 116 17 9 1
|
|
dillinger 128 3 0 3
|
|
dillingham 167 14 10 1
|
|
dillman 55 57 4 0
|
|
dillon 4109 287 40 42
|
|
dilorenzo 180 24 1 4
|
|
dilshan 190 0 0 3
|
|
dimaggio 137 10 1 5
|
|
dimaio 140 20 4 1
|
|
dimarco 2119 37 4 4
|
|
dimas 116 4 0 1
|
|
dimasi 219 57 2 6
|
|
dimitrakos 262 0 0 1
|
|
dimon 476 2 59 9
|
|
dimond 27 201 21 4
|
|
dina 27 100 5 5
|
|
dinardo 712 17 5 6
|
|
dingell 296 5 9 8
|
|
dingman 129 27 3 4
|
|
dinh 141 5 0 4
|
|
dini 126 5 0 2
|
|
dininger 0 104 0 0
|
|
dinkins 188 21 0 2
|
|
dinners 15 2 13 239
|
|
dino 134 1 7 5
|
|
dinosaur 88 4 75 3
|
|
dinosaurs 9 0 1 523
|
|
dinse 187 4 0 5
|
|
dinwiddie 204 7 16 7
|
|
dinyes 105 0 0 0
|
|
diogu 397 0 1 3
|
|
dion 312 249 29 13
|
|
dionne 197 61 0 5
|
|
diop 150 0 0 1
|
|
diorio 52 46 2 7
|
|
diouf 499 0 1 11
|
|
dipietro 985 25 5 7
|
|
diplomat 8819 116 515 188
|
|
dippenaar 215 0 1 2
|
|
dirani 319 0 0 0
|
|
director 78472 10194 3648 4152
|
|
dirie 1 118 0 1
|
|
dirk 291 4 0 5
|
|
dirrell 530 0 0 1
|
|
disagreement 1306 15 111 21
|
|
disappearance 175 109 116 85
|
|
disappearing 187 2 4 6
|
|
discharge 84 7 71 23
|
|
disciple 99 6 5 2
|
|
disciples 36 2 11 381
|
|
disciplinarian 177 6 1 5
|
|
discomfort 262 5 102 18
|
|
disgrace 465 5 48 27
|
|
disgust 67 23 21 9
|
|
dishman 151 7 8 3
|
|
dismissal 338 28 221 107
|
|
dismissals 6 2 3 126
|
|
dispatcher 358 781 21 115
|
|
dispatchers 108 33 23 1029
|
|
dispirito 355 1 25 5
|
|
disqualification 341 2 49 4
|
|
disqualifications 1 0 0 281
|
|
disrespect 21 1 19 75
|
|
dissenter 135 18 3 2
|
|
dissident 801 35 8 5
|
|
distaff 0 143 5 0
|
|
distaso 680 3 0 16
|
|
distefano 88 13 4 4
|
|
distel 184 4 0 3
|
|
distraction 254 11 159 70
|
|
ditka 1295 4 2 1
|
|
dittemore 795 1 60 26
|
|
dittmer 193 11 1 0
|
|
diuretic 202 2 4 1
|
|
diva 9 1498 12 11
|
|
divac 1355 1 4 4
|
|
diver 517 64 6 24
|
|
divers 53 14 47 2163
|
|
divincenzo 122 1 1 2
|
|
diving 294 47 201 53
|
|
divorce 265 89 228 46
|
|
divorcee 39 90 0 2
|
|
dix 196 40 4 9
|
|
dixie 29 104 56 21
|
|
dixon 6052 724 221 110
|
|
dj 919 50 53 40
|
|
djamshid 130 0 0 1
|
|
djindjic 2941 0 9 2
|
|
djorkaeff 143 0 0 0
|
|
dl 140 2 35 7
|
|
dlamini 71 71 0 7
|
|
dlott 12 190 0 2
|
|
dmitri 125 1 1 0
|
|
dmitriev 4 105 0 0
|
|
dmx 516 0 18 3
|
|
doak 116 18 3 2
|
|
doan 589 204 0 3
|
|
doane 81 24 20 7
|
|
doba 632 0 13 7
|
|
dobbins 294 41 3 12
|
|
dobbs 572 89 5 10
|
|
dobelle 393 2 3 8
|
|
dobie 62 2 45 7
|
|
dobson 675 160 105 22
|
|
doby 1015 5 0 2
|
|
doc 348 7 300 50
|
|
docherty 164 7 6 4
|
|
dockery 262 82 6 10
|
|
dockett 202 1 0 1
|
|
doctor 26820 2718 801 1143
|
|
doctorate 497 19 16 11
|
|
doctoroff 113 3 2 1
|
|
doctors 10628 4342 2590 25604
|
|
documents 1669 469 1420 4939
|
|
dodd 1551 156 21 30
|
|
dodds 365 48 8 24
|
|
dodge 890 108 459 61
|
|
dodger 142 0 4 3
|
|
dodgers 449 4 77 9210
|
|
dodson 477 142 18 16
|
|
doebbler 202 0 0 0
|
|
doer 249 0 6 11
|
|
doering 91 46 1 9
|
|
doerr 169 35 2 2
|
|
doesnt 66 10 45 16
|
|
doggett 355 63 1 7
|
|
doherty 2488 137 28 33
|
|
dohn 11 89 1 1
|
|
doig 145 46 3 5
|
|
doiron 103 15 4 7
|
|
dokic 14 1057 2 0
|
|
dolan 1326 120 17 29
|
|
dolby 65 3 35 8
|
|
dole 737 672 114 29
|
|
doleac 130 2 1 0
|
|
dollase 150 5 0 9
|
|
dolls 5 22 19 910
|
|
dolly 13 484 14 12
|
|
dolores 19 84 1 3
|
|
dolphins 207 3 134 12413
|
|
dom 133 8 15 3
|
|
domaszewicz 113 0 2 0
|
|
dombrowski 263 16 1 8
|
|
domenech 410 1 0 13
|
|
domenici 879 0 4 3
|
|
domenie 3 167 0 6
|
|
domi 546 1 0 6
|
|
domingo 256 67 4 7
|
|
dominguez 953 182 49 36
|
|
dominic 366 6 2 9
|
|
dominican 165 3 29 4
|
|
dominicans 3 0 0 501
|
|
dominick 141 13 33 3
|
|
dominique 145 101 0 6
|
|
don 1932 44 45 73
|
|
donahoe 774 15 3 48
|
|
donahue 1815 133 41 24
|
|
donald 2728 61 14 35
|
|
donaldson 3232 187 101 25
|
|
donato 264 29 2 1
|
|
doncaster 28 5 25 165
|
|
donchez 116 0 1 1
|
|
donegan 112 21 4 2
|
|
dong 175 21 17 9
|
|
donkers 3 1183 0 3
|
|
donley 136 25 5 0
|
|
donna 60 851 14 58
|
|
donnalley 108 0 0 0
|
|
donnan 101 3 3 0
|
|
donnell 100 50 5 2
|
|
donnelly 1182 173 21 38
|
|
donner 162 21 1 6
|
|
donnie 264 2 1 5
|
|
donny 122 1 5 7
|
|
donoghue 91 21 6 11
|
|
donohoe 86 15 1 4
|
|
donohue 779 73 5 18
|
|
donor 586 115 157 233
|
|
donovan 4132 589 48 55
|
|
dons 19 4 14 1182
|
|
doohan 206 1 0 5
|
|
doolan 42 175 0 1
|
|
dooley 1808 98 17 32
|
|
dooling 92 2 5 1
|
|
doolittle 154 49 7 3
|
|
doorman 240 3 10 11
|
|
dora 30 199 33 5
|
|
doran 450 53 15 19
|
|
dorcy 23 181 2 10
|
|
dore 404 17 5 4
|
|
doreen 4 117 1 5
|
|
dorfman 103 27 0 1
|
|
dorgan 763 9 24 13
|
|
doria 163 6 2 7
|
|
dorian 53 69 6 11
|
|
dorin 375 0 3 0
|
|
doris 26 343 6 17
|
|
dorjee 176 0 0 0
|
|
dorman 362 37 20 11
|
|
dorn 213 52 7 4
|
|
dornan 247 11 1 2
|
|
dorothy 12 576 6 24
|
|
dorr 183 25 9 2
|
|
dorrance 160 10 1 2
|
|
dorrell 752 3 5 10
|
|
dorsch 98 12 0 3
|
|
dorsett 178 13 1 6
|
|
dorsey 2748 183 32 21
|
|
dosanjh 293 0 2 9
|
|
doss 526 51 9 13
|
|
dossett 92 16 1 0
|
|
doster 382 4 2 2
|
|
dostum 732 1 1 0
|
|
dotel 839 0 31 2
|
|
dotson 14908 101 4 223
|
|
dott 137 1 7 0
|
|
dotty 1 201 4 1
|
|
doty 283 82 7 4
|
|
double 10172 159 295 279
|
|
doubles 751 57 182 452
|
|
doubters 37 1 14 359
|
|
doucet 156 27 4 5
|
|
doucette 214 66 2 3
|
|
doug 1208 11 20 39
|
|
dougan 86 18 0 3
|
|
dougherty 874 230 19 34
|
|
doughty 220 27 12 8
|
|
douglas 4575 461 196 119
|
|
douglass 582 81 35 14
|
|
douri 97 2 1 0
|
|
douthit 96 19 0 3
|
|
dove 335 96 99 20
|
|
dowd 1006 130 44 15
|
|
dowdell 205 18 0 4
|
|
dowdy 280 39 4 18
|
|
dowell 159 33 4 7
|
|
dowie 477 5 3 18
|
|
dowling 410 117 31 21
|
|
downer 2221 28 160 53
|
|
downes 227 23 7 8
|
|
downey 881 157 61 15
|
|
downfall 64 2 55 20
|
|
downie 251 10 1 3
|
|
downing 639 171 17 11
|
|
downs 627 271 96 126
|
|
doyen 113 11 3 1
|
|
doyle 5872 387 126 80
|
|
dozens 216 68 159 24905
|
|
dozier 189 63 4 4
|
|
dracula 101 1 16 3
|
|
draftees 3 0 0 283
|
|
dragila 0 695 0 1
|
|
drago 77 27 0 0
|
|
dragons 49 3 44 2197
|
|
drake 1108 428 246 76
|
|
drakes 127 0 1 19
|
|
draper 989 159 28 30
|
|
draskovic 93 7 3 0
|
|
dravid 1440 0 27 19
|
|
draws 236 2 92 67
|
|
drayton 212 29 12 12
|
|
dre 731 3 6 9
|
|
dread 115 3 22 6
|
|
dreamer 173 4 4 2
|
|
dredge 184 4 29 8
|
|
dreher 87 12 4 4
|
|
drehobl 126 1 0 0
|
|
dreier 222 6 0 1
|
|
dreifort 565 0 1 0
|
|
drejer 260 0 0 0
|
|
drennan 91 25 1 7
|
|
drese 489 0 1 1
|
|
dresser 346 29 33 2
|
|
dresses 24 29 8 469
|
|
drew 6583 298 77 49
|
|
drexler 617 13 8 2
|
|
dreyer 212 59 51 3
|
|
dreyfus 635 4 8 0
|
|
dreyfuss 168 0 1 2
|
|
driesell 305 0 0 0
|
|
drifter 441 3 0 1
|
|
drillers 6 0 4 180
|
|
drilon 362 4 8 24
|
|
drinker 124 14 7 7
|
|
driscoll 973 104 52 38
|
|
driskell 174 35 0 1
|
|
driskill 101 5 0 1
|
|
driver 54667 3417 1095 1382
|
|
driving 954 405 540 368
|
|
drnovsek 186 1 0 0
|
|
drogba 501 0 11 10
|
|
drolet 112 13 3 1
|
|
drollet 122 0 0 1
|
|
dropout 726 18 14 2
|
|
droughns 653 0 5 4
|
|
drove 504 50 123 250
|
|
droves 10 1 9 397
|
|
druce 2274 1 11 0
|
|
druckenmiller 96 4 2 0
|
|
drudge 107 5 9 3
|
|
drummer 834 18 16 12
|
|
drummers 3 0 2 129
|
|
drummond 1238 81 19 26
|
|
drums 29 13 28 789
|
|
drunk 376 121 58 88
|
|
drunks 2 0 1 148
|
|
drury 458 40 63 22
|
|
druyun 4 1528 2 3
|
|
dryden 311 21 33 12
|
|
dryer 62 34 44 3
|
|
drysdale 127 45 5 7
|
|
duane 215 42 2 8
|
|
duany 132 2 5 1
|
|
duarte 300 51 8 2
|
|
dube 176 137 18 14
|
|
dubey 185 11 6 3
|
|
dubielewicz 121 0 1 0
|
|
dubin 119 22 29 2
|
|
dubliner 284 4 8 2
|
|
dubois 541 105 22 18
|
|
dubose 418 80 6 4
|
|
dubya 180 0 4 4
|
|
duce 128 5 13 0
|
|
duceppe 347 2 7 2
|
|
ducharme 77 32 4 0
|
|
duchess 0 263 2 4
|
|
duchscherer 140 0 2 0
|
|
duck 240 70 219 51
|
|
duckett 551 33 7 1
|
|
ducks 136 8 110 7655
|
|
duckworth 621 27 8 6
|
|
ducros 2 187 0 0
|
|
dude 582 4 65 9
|
|
dudek 441 26 4 4
|
|
dudley 1549 109 47 54
|
|
duelfer 2679 0 6 9
|
|
duenas 114 23 1 13
|
|
duff 932 303 20 26
|
|
duffield 447 18 9 7
|
|
duffy 1851 203 28 45
|
|
dufour 79 26 2 4
|
|
dugan 324 124 10 9
|
|
dugarry 259 0 11 6
|
|
dugas 91 34 5 3
|
|
duggan 329 70 4 6
|
|
dugger 66 30 5 4
|
|
dugout 62 2 51 28
|
|
dugovic 69 51 0 0
|
|
duhalde 287 1 2 1
|
|
duhamel 142 17 9 1
|
|
duhon 1303 21 11 3
|
|
duignan 125 5 0 0
|
|
duisenberg 586 38 18 4
|
|
dukakis 400 42 6 3
|
|
dukes 328 68 30 536
|
|
dulaimi 176 0 3 0
|
|
dulko 0 144 0 0
|
|
dulles 86 0 18 6
|
|
dumais 113 4 0 1
|
|
dumanis 0 134 0 0
|
|
dumars 877 3 3 6
|
|
dumas 570 84 23 15
|
|
dumbledore 155 0 1 0
|
|
dumeisi 684 0 0 0
|
|
dumke 4 129 0 0
|
|
dumont 762 15 13 21
|
|
dunaway 343 34 2 6
|
|
dunbar 356 187 121 27
|
|
duncan 10676 493 77 187
|
|
dunes 5 1 3 112
|
|
dunford 82 21 4 3
|
|
dungy 2482 0 13 29
|
|
dunham 1890 74 14 10
|
|
dunigan 136 11 6 2
|
|
dunlap 418 447 17 30
|
|
dunleavy 640 17 5 3
|
|
dunlop 243 27 23 19
|
|
dunn 6344 1007 98 114
|
|
dunne 1129 138 8 12
|
|
dunning 421 65 17 16
|
|
dunphy 239 19 2 3
|
|
dunst 12 145 3 1
|
|
dunstan 196 16 4 1
|
|
dunston 196 6 2 0
|
|
duong 116 11 1 3
|
|
dupre 1315 68 16 8
|
|
dupree 435 52 9 21
|
|
dupuis 414 49 3 4
|
|
dupuy 597 18 14 9
|
|
duquette 875 11 4 25
|
|
durability 62 0 27 15
|
|
duran 368 106 5 10
|
|
durand 234 69 18 7
|
|
durant 508 34 56 10
|
|
durante 169 10 0 2
|
|
duranty 122 0 0 0
|
|
durazo 1371 25 1 4
|
|
durbin 1664 42 23 13
|
|
durel 144 4 2 2
|
|
durham 1934 162 251 286
|
|
durkan 150 2 3 7
|
|
durkee 98 9 3 2
|
|
durkin 425 51 18 9
|
|
durocher 125 16 2 2
|
|
durr 83 36 1 4
|
|
durrani 211 2 6 4
|
|
durrett 92 16 5 3
|
|
durst 2300 16 12 3
|
|
dusek 343 6 0 3
|
|
dusk 172 2 10 3
|
|
dustin 576 10 6 10
|
|
dusty 741 11 5 6
|
|
dutcher 492 15 5 4
|
|
dutchman 2202 0 14 22
|
|
duterte 456 4 5 16
|
|
duties 408 112 162 371
|
|
dutra 100 89 1 1
|
|
dutroux 1058 25 2 5
|
|
dutrow 94 4 1 1
|
|
dutt 236 5 7 2
|
|
dutto 156 0 1 1
|
|
dutton 378 86 15 16
|
|
duval 3681 32 17 14
|
|
duvalier 393 0 0 1
|
|
duvall 543 44 15 9
|
|
duyser 0 259 1 0
|
|
dvorak 518 81 7 20
|
|
dvorin 185 1 0 0
|
|
dwayne 159 5 0 6
|
|
dwight 439 9 13 10
|
|
dwyer 802 248 81 35
|
|
dybas 564 0 0 0
|
|
dye 2171 152 58 18
|
|
dyer 1672 244 20 215
|
|
dyke 929 13 16 14
|
|
dykes 192 28 8 5
|
|
dykstra 127 46 1 4
|
|
dylan 2083 23 42 29
|
|
dynamite 12 65 41 11
|
|
dynamo 67 46 17 60
|
|
dynes 156 0 6 5
|
|
dynever 261 0 0 0
|
|
dyson 1014 85 45 18
|
|
e 240 59 212 59
|
|
eaddy 16 88 0 1
|
|
eade 121 4 3 0
|
|
eadie 438 8 4 4
|
|
eagerness 83 5 61 45
|
|
eagle 1076 266 537 52
|
|
eagles 503 65 439 24398
|
|
eagleton 158 1 5 0
|
|
eaglets 1 0 0 118
|
|
eakin 100 14 4 3
|
|
eala 87 0 5 8
|
|
ealy 112 5 1 1
|
|
eames 91 12 2 2
|
|
earhart 27 96 2 1
|
|
earl 1587 113 67 31
|
|
earle 569 47 17 16
|
|
earley 244 62 7 19
|
|
earls 343 14 4 16
|
|
earnest 244 14 13 6
|
|
earnhardt 14389 17 64 17
|
|
earnshaw 247 5 5 5
|
|
earrings 2 12 6 112
|
|
ears 86 29 55 171
|
|
easley 3898 62 47 17
|
|
eason 392 70 1 6
|
|
easter 285 144 128 54
|
|
easterling 284 27 1 11
|
|
easterners 0 3 1 123
|
|
eastman 383 67 82 10
|
|
easton 331 37 202 32
|
|
eastwood 834 22 34 30
|
|
easy 95 6 12 3
|
|
eaton 1907 280 214 65
|
|
eats 125 2 5 3
|
|
eaves 413 28 11 19
|
|
ebadi 4 638 4 1
|
|
eban 227 0 0 2
|
|
ebb 265 1 3 1
|
|
ebbers 2328 1 9 4
|
|
ebdane 127 0 2 10
|
|
ebel 86 21 1 0
|
|
ebell 116 0 2 0
|
|
eberhart 219 11 1 9
|
|
eberharter 572 0 2 6
|
|
eberle 48 62 1 1
|
|
eberly 121 11 0 1
|
|
ebersol 551 1 0 1
|
|
ebersole 205 14 1 3
|
|
ebert 999 102 8 10
|
|
ebihara 115 0 0 2
|
|
ebony 4 96 4 1
|
|
ebrahim 209 3 0 4
|
|
ebsen 761 0 0 0
|
|
eby 85 45 6 2
|
|
eccentric 167 4 3 2
|
|
ecclestone 984 11 25 16
|
|
ecevit 148 0 0 4
|
|
echeverria 141 6 4 1
|
|
echols 373 33 6 2
|
|
eck 164 23 30 6
|
|
eckel 166 6 3 1
|
|
ecker 105 117 3 8
|
|
eckersley 1637 6 3 1
|
|
eckert 303 101 11 15
|
|
eckhard 544 0 5 2
|
|
eckhart 74 29 2 8
|
|
ecklund 149 1 0 0
|
|
eckrodt 148 0 3 0
|
|
eckstein 700 14 4 8
|
|
economist 2037 97 214 54
|
|
ed 1440 20 96 87
|
|
eddery 115 0 0 1
|
|
eddie 2140 15 40 51
|
|
eddington 447 20 23 5
|
|
eddins 127 11 0 4
|
|
eddy 522 65 10 18
|
|
edelin 482 0 1 2
|
|
edelman 243 36 18 38
|
|
eden 198 81 126 83
|
|
eder 46 150 1 1
|
|
edgar 964 73 17 27
|
|
edgell 158 4 2 0
|
|
edgerton 111 12 0 8
|
|
edinger 148 9 6 3
|
|
edith 8 170 5 9
|
|
editor 4844 545 377 210
|
|
editors 112 19 105 4945
|
|
edmilson 102 0 1 0
|
|
edmond 86 32 17 16
|
|
edmonds 3936 307 25 42
|
|
edmondson 657 117 6 9
|
|
edmonson 120 18 1 6
|
|
edmund 137 7 6 2
|
|
edmunds 103 95 12 16
|
|
edna 5 178 11 8
|
|
edris 106 3 0 2
|
|
edsall 483 6 8 4
|
|
edu 592 0 12 14
|
|
educator 353 259 21 44
|
|
edward 1221 25 33 22
|
|
edwards 69262 2583 692 704
|
|
edwin 183 6 1 7
|
|
efford 104 0 0 0
|
|
egan 993 102 24 16
|
|
egbert 59 36 1 4
|
|
egeland 710 0 15 13
|
|
eggers 152 17 4 15
|
|
eggert 129 9 1 2
|
|
eggleston 259 31 3 3
|
|
egyptian 1008 2 8 21
|
|
egyptians 27 1 11 1207
|
|
ehlers 236 38 3 6
|
|
ehrenreich 10 87 1 4
|
|
ehrlich 4128 73 49 40
|
|
eichel 387 2 6 2
|
|
eichelberger 125 9 3 1
|
|
eichner 147 12 0 0
|
|
eid 97 8 22 3
|
|
eidson 104 15 1 3
|
|
eighth 3077 137 314 219
|
|
eiland 77 34 1 5
|
|
eileen 12 227 5 19
|
|
einhorn 123 10 1 0
|
|
einstein 929 1 54 5
|
|
eire 199 1 2 3
|
|
eisenberg 191 42 6 5
|
|
eisenhower 748 16 74 21
|
|
eisley 168 1 2 0
|
|
eisner 9565 14 43 33
|
|
eitam 174 0 0 1
|
|
eitan 146 0 0 1
|
|
either 647 63 572 1451
|
|
eizember 267 5 0 9
|
|
ekelund 84 24 0 0
|
|
ekman 329 10 2 1
|
|
ekuban 126 0 0 0
|
|
el 718 3 75 5
|
|
elahi 133 7 4 4
|
|
elaine 9 405 13 43
|
|
elam 931 49 3 2
|
|
elarton 776 0 4 0
|
|
elbaradei 8709 0 49 195
|
|
elbarasse 106 4 0 0
|
|
elber 100 1 0 0
|
|
elbow 1399 52 165 22
|
|
elbows 138 13 4 29
|
|
elder 2595 171 43 81
|
|
eldest 88 52 1 17
|
|
eldred 454 25 2 5
|
|
eldridge 428 81 21 11
|
|
eleanor 6 208 26 11
|
|
elector 126 7 1 10
|
|
electors 21 0 3 1069
|
|
electrician 870 7 10 9
|
|
electricians 3 0 2 159
|
|
electrodes 7 5 1 193
|
|
elena 2 215 2 11
|
|
eleven 64 4 49 1576
|
|
elfgeeh 237 0 0 0
|
|
eli 1268 11 47 20
|
|
elia 83 14 1 3
|
|
elian 539 0 2 5
|
|
elias 1297 125 15 12
|
|
eliason 133 26 2 2
|
|
elijah 163 6 2 5
|
|
elis 2 0 1 246
|
|
elisabeth 5 147 2 0
|
|
elise 2 90 13 1
|
|
eliza 3 121 5 2
|
|
elizabeth 120 8788 40 74
|
|
elizondo 130 36 17 1
|
|
elkin 86 16 16 9
|
|
elkins 263 72 46 24
|
|
ella 49 285 12 12
|
|
ellard 19 269 2 0
|
|
elle 2 197 2 2
|
|
ellef 205 0 0 0
|
|
ellen 32 467 20 14
|
|
ellender 93 1 14 0
|
|
eller 598 25 5 2
|
|
ellerbe 157 7 2 6
|
|
ellestad 133 0 0 0
|
|
ellie 54 183 3 4
|
|
elling 120 0 1 1
|
|
ellinger 96 4 1 1
|
|
ellingson 223 19 2 2
|
|
ellington 332 29 22 20
|
|
elliot 505 129 18 23
|
|
elliott 7680 744 76 118
|
|
ellis 6616 932 100 149
|
|
ellison 2917 181 46 26
|
|
ellisor 121 0 0 2
|
|
elliss 178 3 1 0
|
|
ellsberg 120 3 0 2
|
|
ellsworth 225 30 64 39
|
|
ellzey 22 237 0 0
|
|
elmardoudi 176 6 0 0
|
|
elmer 170 24 8 9
|
|
elmore 226 73 8 16
|
|
elrod 317 26 3 1
|
|
els 13654 20 69 33
|
|
elsie 7 115 1 2
|
|
elson 257 11 2 6
|
|
elton 414 12 11 6
|
|
elves 8 6 4 256
|
|
elvis 1459 8 18 8
|
|
elway 1711 7 5 6
|
|
elwell 150 27 3 5
|
|
elwood 106 30 8 11
|
|
ely 203 122 75 41
|
|
elzahabi 214 0 0 0
|
|
em 101 13 78 1237
|
|
emails 48 7 28 588
|
|
emanuel 343 28 8 7
|
|
embree 182 5 0 3
|
|
embry 112 28 3 9
|
|
emcee 106 6 4 7
|
|
emeka 103 0 0 14
|
|
emerich 496 3 1 0
|
|
emerson 792 294 226 37
|
|
emerton 194 2 2 1
|
|
emery 483 111 47 23
|
|
emile 162 3 3 2
|
|
emily 27 1279 22 41
|
|
eminem 3095 9 17 17
|
|
eminence 207 0 9 2
|
|
emir 375 0 3 5
|
|
emissaries 4 1 2 117
|
|
emissary 157 1 2 5
|
|
emma 27 879 14 19
|
|
emmanuel 387 10 11 4
|
|
emmerich 193 4 0 2
|
|
emmert 405 24 9 2
|
|
emmett 444 32 8 11
|
|
emmitt 278 12 0 3
|
|
emmons 914 59 10 9
|
|
emmy 94 59 16 12
|
|
emory 140 9 65 3
|
|
emotion 370 31 357 145
|
|
emperor 748 3 28 12
|
|
employee 9576 5184 791 1555
|
|
emrich 89 15 1 1
|
|
emts 11 4 3 98
|
|
encarnacion 662 4 3 0
|
|
endicott 54 12 30 11
|
|
endorsements 99 5 25 78
|
|
ends 234 54 194 510
|
|
enemies 111 19 79 7281
|
|
ener 24 738 24 1
|
|
enfield 36 7 35 37
|
|
enforcer 271 6 40 4
|
|
eng 61 24 14 1
|
|
engel 514 90 28 31
|
|
engelbrecht 53 52 3 6
|
|
engen 113 9 35 5
|
|
engineer 6942 141 275 190
|
|
englade 130 3 0 0
|
|
engle 177 79 4 10
|
|
engler 341 30 10 21
|
|
english 1352 324 882 1298
|
|
englishman 1822 2 13 16
|
|
englishmen 5 0 0 160
|
|
englund 190 7 3 20
|
|
engram 181 2 0 0
|
|
engstrom 99 23 0 1
|
|
enlistees 1 0 0 116
|
|
enlistment 255 2 9 8
|
|
ennis 273 60 63 19
|
|
eno 46 9 45 2
|
|
enos 132 23 2 5
|
|
enqvist 239 0 2 0
|
|
enright 195 53 2 6
|
|
enrique 154 4 4 3
|
|
enriquez 77 62 3 13
|
|
enroute 45 11 21 51
|
|
ensberg 814 0 0 0
|
|
ensign 213 15 43 12
|
|
ensler 15 260 1 3
|
|
ensley 204 9 8 3
|
|
ensor 27 85 0 1
|
|
entertainer 2086 193 12 18
|
|
entertainers 20 1 6 578
|
|
enthusiast 474 44 13 26
|
|
entire 57 6 37 12
|
|
entrepreneur 2102 222 54 56
|
|
entwistle 147 10 4 1
|
|
environmentalist 218 29 8 12
|
|
envoy 7313 211 185 196
|
|
enzi 202 3 2 6
|
|
epidemiologist 207 6 4 6
|
|
episcopalians 20 0 3 647
|
|
epley 136 1 2 1
|
|
epling 190 8 1 2
|
|
epperson 106 26 1 2
|
|
epps 354 75 10 7
|
|
epstein 2391 92 24 34
|
|
equaliser 88 1 54 50
|
|
era 1488 33 1093 487
|
|
erasmus 110 5 9 5
|
|
erb 121 18 17 9
|
|
erdman 137 23 3 4
|
|
erdmann 67 34 1 1
|
|
erdogan 5196 11 65 427
|
|
erekat 1002 1 3 18
|
|
ereli 147 1 77 37
|
|
ergen 148 0 1 0
|
|
eric 2639 45 35 77
|
|
erica 5 465 5 10
|
|
erick 145 2 2 0
|
|
erickson 5265 430 65 47
|
|
ericson 163 30 5 2
|
|
erik 257 5 7 10
|
|
erika 7 244 7 10
|
|
eriksson 6570 20 35 44
|
|
erin 19 650 8 17
|
|
erk 12 252 2 0
|
|
erkel 121 0 0 3
|
|
ermita 102 0 5 13
|
|
ernest 325 27 2 13
|
|
ernie 725 4 13 14
|
|
ernst 389 66 53 13
|
|
erpenbeck 86 4 10 4
|
|
ersek 133 0 0 0
|
|
erskine 406 13 11 3
|
|
ersoz 214 0 0 5
|
|
erstad 915 0 7 4
|
|
erthal 143 0 0 0
|
|
ervin 381 121 9 13
|
|
ervine 101 5 1 0
|
|
erving 85 40 2 0
|
|
erwin 609 100 44 31
|
|
esau 129 3 0 2
|
|
escalante 77 62 3 3
|
|
escapee 177 6 2 1
|
|
escapees 3 1 1 267
|
|
esche 2265 1 26 4
|
|
escobar 1576 46 13 11
|
|
escobedo 370 30 0 6
|
|
escort 68 33 44 61
|
|
escude 390 1 1 3
|
|
escudero 128 5 5 11
|
|
escutia 4 99 1 3
|
|
esherick 421 0 4 3
|
|
eskandarian 253 0 4 0
|
|
eskimos 11 0 5 302
|
|
eslinger 92 8 1 3
|
|
esparza 132 30 5 1
|
|
espey 158 6 3 7
|
|
espinosa 211 46 1 8
|
|
espinoza 380 96 4 8
|
|
esposito 593 59 3 14
|
|
esquivel 217 32 2 5
|
|
esrey 583 0 3 1
|
|
essany 146 0 1 0
|
|
essays 11 11 10 467
|
|
esser 448 6 2 1
|
|
esteban 94 2 3 2
|
|
estefan 6 196 2 1
|
|
estep 79 28 2 3
|
|
estes 1845 114 19 38
|
|
esther 6 710 2 10
|
|
estill 165 233 44 4
|
|
estonian 130 0 6 1
|
|
estrada 5821 132 21 58
|
|
estrella 181 15 2 6
|
|
eszterhas 153 0 1 0
|
|
etchegaray 197 0 0 8
|
|
ethan 435 8 0 13
|
|
ethel 12 78 10 7
|
|
etheridge 235 218 5 7
|
|
etherton 113 3 1 2
|
|
ethiopian 76 22 5 3
|
|
etienne 2567 26 4 0
|
|
eto 153 5 3 2
|
|
etter 67 30 4 32
|
|
ettinger 100 14 1 3
|
|
ettridge 151 2 0 6
|
|
eubank 77 30 2 1
|
|
eubanks 198 64 1 10
|
|
euell 97 1 5 0
|
|
eugene 628 21 96 34
|
|
eunice 22 64 23 10
|
|
european 140 12 93 169
|
|
eurosilver 104 0 0 1
|
|
eury 457 0 0 0
|
|
eustace 102 3 5 1
|
|
eustachy 3317 1 3 1
|
|
eustis 51 7 46 8
|
|
eva 10 474 54 20
|
|
evacuees 4 11 5 1885
|
|
evaluations 40 39 26 85
|
|
evaluator 105 2 8 7
|
|
evan 632 25 10 20
|
|
evander 186 1 5 3
|
|
evangelicals 9 0 8 733
|
|
evangelist 302 11 6 3
|
|
evangelista 69 60 2 3
|
|
evans 10033 1713 189 254
|
|
eve 170 331 286 121
|
|
evelyn 39 503 12 16
|
|
evening 718 171 611 476
|
|
everblades 3 0 1 131
|
|
everett 2109 193 291 73
|
|
everhart 340 41 4 5
|
|
everitt 176 44 6 3
|
|
evernham 776 1 4 0
|
|
evers 878 30 4 13
|
|
everson 309 17 5 4
|
|
everts 182 8 4 0
|
|
everybody 3266 333 1534 42390
|
|
everyman 130 1 11 1
|
|
everyone 7155 879 3207 71088
|
|
eves 1209 5 30 41
|
|
evie 4 96 1 4
|
|
evtimov 234 0 5 0
|
|
ewing 1459 144 20 34
|
|
ex 122 83 30 17
|
|
exam 986 63 297 107
|
|
examination 626 229 433 240
|
|
examinations 61 29 30 72
|
|
examiner 756 56 116 28
|
|
excellency 387 9 2 1
|
|
exec 227 24 2 16
|
|
executioner 128 3 3 3
|
|
executioners 12 0 0 340
|
|
executive 16555 1137 3501 949
|
|
exerciser 108 4 0 1
|
|
exile 5891 12 96 25
|
|
exley 105 5 0 1
|
|
expatriate 195 17 11 10
|
|
expert 6617 407 394 286
|
|
expletive 372 4 13 1
|
|
exploits 92 14 33 91
|
|
explorers 21 2 7 1071
|
|
expos 139 0 100 7884
|
|
expose 159 0 11 8
|
|
expressions 41 6 37 1655
|
|
extension 9327 57 1223 350
|
|
exter 104 2 0 0
|
|
extradition 117 8 70 13
|
|
extremist 564 2 10 4
|
|
exum 301 7 0 0
|
|
eyadema 194 0 0 2
|
|
eyebrows 51 8 48 41
|
|
eyes 1278 446 603 1469
|
|
eyewitness 1101 233 15 50
|
|
eyewitnesses 161 33 30 966
|
|
eyler 294 30 0 4
|
|
eyman 480 5 9 0
|
|
eyre 177 19 3 3
|
|
ezell 75 28 5 6
|
|
ezra 196 7 26 1
|
|
faber 210 67 28 5
|
|
fabian 213 110 41 80
|
|
fabiani 182 4 3 0
|
|
fabrizi 217 2 1 3
|
|
face 2617 895 1885 1064
|
|
facemask 108 2 16 3
|
|
faces 216 38 185 5153
|
|
facilitator 138 21 11 15
|
|
fadeaway 447 0 2 1
|
|
fadel 525 5 1 4
|
|
fadhil 112 4 0 0
|
|
fadiga 123 0 0 0
|
|
fadwa 244 18 1 0
|
|
faerber 96 4 0 2
|
|
fagan 1225 101 7 22
|
|
fager 214 0 0 0
|
|
faheem 72 55 0 4
|
|
fahey 310 59 11 11
|
|
fahim 580 13 6 18
|
|
fahima 4 110 0 0
|
|
fahnestock 18 64 22 0
|
|
fahy 48 69 1 7
|
|
fails 194 1 0 14
|
|
faine 249 0 3 2
|
|
fairbairn 36 71 0 3
|
|
fairbanks 143 38 127 37
|
|
faircloth 269 20 0 6
|
|
fairclough 76 23 1 1
|
|
fairgoers 4 0 1 106
|
|
fairley 76 59 2 6
|
|
fairway 289 28 117 27
|
|
faisal 441 4 7 14
|
|
faison 251 51 7 3
|
|
faiths 6 0 5 674
|
|
fajardo 127 13 1 3
|
|
fakes 14 2 4 173
|
|
fakhet 156 0 0 14
|
|
falco 122 104 0 39
|
|
falcon 654 44 109 17
|
|
falcone 171 26 19 4
|
|
falconer 822 29 8 5
|
|
falcons 211 8 188 10155
|
|
faldo 1014 1 0 1
|
|
falk 239 137 32 9
|
|
falkirk 30 1 7 236
|
|
fallaci 0 103 0 2
|
|
fallin 24 98 1 1
|
|
fallon 1351 86 87 29
|
|
falls 315 43 172 121
|
|
falsification 467 0 4 0
|
|
falvey 115 7 0 5
|
|
falwell 680 9 6 3
|
|
falzone 139 29 2 2
|
|
famer 198 2 0 0
|
|
familiar 1321 128 1202 1015
|
|
fan 15156 761 579 575
|
|
fanatic 395 28 4 9
|
|
fancher 97 9 2 3
|
|
faneuil 9501 158 54 110
|
|
fang 225 19 1 2
|
|
fannin 81 18 2 1
|
|
fanning 73 17 9 3
|
|
fanny 10 81 5 5
|
|
fans 2623 330 1553 94506
|
|
fant 78 14 26 2
|
|
fantasia 16 336 31 0
|
|
fantino 219 1 6 3
|
|
farah 115 167 4 11
|
|
faraj 125 25 1 4
|
|
farber 176 31 5 4
|
|
farewell 53 15 42 39
|
|
fargas 256 0 0 1
|
|
fargo 100 268 137 28
|
|
farhat 282 14 0 2
|
|
faria 150 43 2 2
|
|
farid 122 1 1 2
|
|
farina 929 34 10 8
|
|
faris 809 30 3 1
|
|
farish 95 8 4 2
|
|
farkas 161 29 0 3
|
|
farley 786 115 12 26
|
|
farmer 9798 525 126 227
|
|
farmhand 113 0 1 0
|
|
farmworkers 6 0 5 223
|
|
farnan 183 6 0 0
|
|
farnham 120 17 6 19
|
|
farnsworth 781 51 8 3
|
|
farooq 251 2 9 8
|
|
farooqi 445 7 0 5
|
|
farouk 544 0 0 3
|
|
farr 776 59 12 18
|
|
farrakhan 124 0 3 0
|
|
farrall 202 3 0 0
|
|
farrar 310 44 4 9
|
|
farrell 1791 589 61 48
|
|
farren 67 23 8 5
|
|
farrington 161 35 9 7
|
|
farrior 181 6 1 1
|
|
farris 426 144 9 11
|
|
farrow 127 70 7 5
|
|
farrugia 103 7 2 5
|
|
faryniarz 200 1 0 0
|
|
fasano 124 20 2 1
|
|
fason 279 0 0 4
|
|
fassel 3445 0 34 19
|
|
fassero 559 1 0 0
|
|
fassie 2 236 1 7
|
|
fastballs 26 1 13 170
|
|
fasth 109 0 0 2
|
|
fastow 6286 163 0 46
|
|
fastows 2 0 0 725
|
|
fata 122 1 8 3
|
|
fatalities 3 89 68 97
|
|
father 128810 3486 907 2440
|
|
fatherhood 149 0 19 1
|
|
fatigues 5 1 2 271
|
|
fatima 9 399 3 7
|
|
faucher 117 4 1 0
|
|
fauci 124 8 2 7
|
|
faulk 2787 31 10 13
|
|
faulkner 1103 199 25 44
|
|
faust 258 69 8 0
|
|
fauviau 220 0 0 0
|
|
faveur 253 0 0 0
|
|
favish 101 0 1 1
|
|
favorite 770 270 420 182
|
|
favorites 73 3 52 1374
|
|
favors 92 29 62 112
|
|
favourite 1228 174 159 45
|
|
favourites 66 4 53 1053
|
|
favre 13260 24 86 42
|
|
favreau 127 4 0 0
|
|
fawcett 410 100 1 7
|
|
fawell 713 11 1 15
|
|
fawkes 174 3 0 2
|
|
faxes 5 1 4 215
|
|
faxon 776 1 2 7
|
|
fay 277 239 16 10
|
|
fayad 259 0 0 1
|
|
faye 37 134 1 10
|
|
fayed 619 2 2 4
|
|
fazekas 545 4 0 3
|
|
fazio 173 17 2 2
|
|
fdr 266 0 18 23
|
|
fearon 170 31 0 4
|
|
feaster 265 43 1 5
|
|
feather 80 16 57 14
|
|
featherstone 38 33 3 26
|
|
featherweight 218 1 2 1
|
|
febles 140 2 0 0
|
|
federer 17760 10 33 58
|
|
federico 151 17 3 4
|
|
fedora 82 7 13 0
|
|
fedorov 1243 0 8 2
|
|
fedotenko 583 0 2 1
|
|
feehan 72 8 26 4
|
|
feeley 1736 11 38 7
|
|
feely 136 3 0 0
|
|
feeney 506 63 3 14
|
|
fehr 615 16 9 4
|
|
feinberg 377 67 3 7
|
|
feingold 808 35 15 24
|
|
feinstein 294 2300 20 14
|
|
feist 105 18 1 2
|
|
feith 460 0 1 25
|
|
felder 334 64 5 5
|
|
feldman 738 170 14 6
|
|
feleih 167 0 0 0
|
|
felicia 9 108 1 3
|
|
feliciano 205 26 3 2
|
|
felicien 0 368 1 1
|
|
feline 43 65 30 1
|
|
felinton 100 0 1 2
|
|
felipe 587 7 4 0
|
|
felix 340 393 15 10
|
|
feliz 1068 5 20 0
|
|
felker 118 8 3 2
|
|
fella 351 3 8 6
|
|
fellas 11 1 8 120
|
|
feller 197 21 3 2
|
|
fellers 344 3 2 3
|
|
fellow 2236 29 32 45
|
|
fellows 239 23 29 632
|
|
felon 783 25 6 23
|
|
felony 166 13 122 92
|
|
felos 295 5 0 2
|
|
fels 90 1 4 5
|
|
felton 1561 55 11 49
|
|
female 71 2453 69 164
|
|
females 39 15 29 2176
|
|
fences 112 5 37 119
|
|
fender 374 19 40 10
|
|
fenderson 101 5 1 0
|
|
fenech 304 8 6 7
|
|
feng 90 34 2 3
|
|
fenn 80 50 5 2
|
|
fennell 136 126 1 5
|
|
fennelly 108 6 0 1
|
|
fenner 82 22 3 4
|
|
fennig 130 0 0 3
|
|
fentie 98 0 3 3
|
|
fenton 307 65 44 13
|
|
feofanova 1 223 0 0
|
|
feraris 142 0 0 0
|
|
ferbey 220 0 2 7
|
|
ferdinand 3055 12 47 25
|
|
ference 164 5 1 0
|
|
ferentz 700 1 3 11
|
|
ferenz 34 72 0 0
|
|
fergie 501 44 11 8
|
|
fergus 94 31 6 4
|
|
ferguson 13655 843 136 191
|
|
fermanagh 5 0 1 116
|
|
fermon 143 1 1 2
|
|
fernald 96 13 20 0
|
|
fernandes 1322 81 61 49
|
|
fernandez 4317 471 46 71
|
|
fernando 708 24 15 42
|
|
ferns 17 6 1 121
|
|
ferran 1400 3 3 1
|
|
ferrara 273 74 6 9
|
|
ferraro 137 114 9 8
|
|
ferreira 1348 70 9 18
|
|
ferrell 1014 300 11 13
|
|
ferrer 375 21 2 13
|
|
ferrero 4998 44 166 23
|
|
ferri 108 29 2 4
|
|
ferrier 130 10 10 5
|
|
ferriola 127 0 0 0
|
|
ferris 553 135 29 26
|
|
ferro 69 48 41 6
|
|
fetter 76 13 24 2
|
|
fetterman 162 3 2 1
|
|
fetters 109 9 2 0
|
|
fettig 104 23 0 1
|
|
feuerstein 357 3 1 1
|
|
few 746 157 734 10170
|
|
fey 134 170 3 5
|
|
fiala 63 110 2 2
|
|
fialko 112 0 0 0
|
|
fiance 386 210 4 90
|
|
fiancee 195 1352 7 69
|
|
fiancé 158 52 0 17
|
|
fiancée 50 195 3 23
|
|
fick 586 23 3 3
|
|
fiddler 142 25 26 3
|
|
fidel 167 6 3 2
|
|
fidell 393 1 6 1
|
|
fidler 256 6 1 3
|
|
fido 88 1 18 2
|
|
fiedler 2540 21 12 9
|
|
fiegehen 107 10 0 0
|
|
fieger 106 1 0 2
|
|
fielder 964 24 16 10
|
|
fielding 1380 57 82 30
|
|
fields 4071 442 264 674
|
|
fiennes 126 7 0 0
|
|
fierro 167 20 3 5
|
|
fierstein 182 1 2 0
|
|
fife 229 14 19 31
|
|
fifer 75 219 0 2
|
|
fifteen 17 2 16 871
|
|
fifth 1626 196 737 1064
|
|
fifty 31 1 4 424
|
|
figgins 823 4 2 4
|
|
fighter 9490 64 174 134
|
|
fights 135 12 95 1185
|
|
figo 787 0 7 4
|
|
figueroa 403 267 10 12
|
|
figurehead 167 5 6 2
|
|
fijian 1753 0 2 8
|
|
fijians 3 0 1 104
|
|
fike 55 30 19 5
|
|
files 205 34 188 5930
|
|
filipino 591 26 25 16
|
|
filippi 506 6 3 4
|
|
filler 441 5 12 2
|
|
filly 23 2014 27 4
|
|
filmmaker 2313 107 24 28
|
|
finalist 1412 112 128 66
|
|
finalists 35 9 30 2502
|
|
finan 105 4 2 1
|
|
financier 617 4 78 6
|
|
finch 747 253 20 41
|
|
finchem 368 0 3 0
|
|
fincher 90 21 1 3
|
|
fincke 825 0 1 3
|
|
finder 123 13 18 5
|
|
finders 3 0 2 101
|
|
findlay 177 52 64 16
|
|
findley 121 16 6 0
|
|
finegan 114 6 1 2
|
|
finger 645 86 515 96
|
|
fingerhut 171 0 11 1
|
|
fingernail 39 73 12 0
|
|
fingerprints 96 5 50 1502
|
|
fingers 253 72 185 392
|
|
fingleton 23 143 6 4
|
|
fini 242 1 7 1
|
|
finish 1189 213 544 312
|
|
finisher 157 56 9 16
|
|
finishing 948 81 242 114
|
|
fink 681 92 11 22
|
|
finkbeiner 162 0 1 1
|
|
finkel 462 20 0 10
|
|
finkelstein 103 35 5 2
|
|
finlay 126 37 26 9
|
|
finley 3564 115 22 34
|
|
finn 1509 109 11 33
|
|
finnan 116 0 2 1
|
|
finnegan 153 39 10 14
|
|
finneran 1216 15 15 16
|
|
finnerty 76 29 2 11
|
|
finney 414 51 14 5
|
|
finnie 118 6 5 7
|
|
finnish 292 0 249 7
|
|
finucane 287 14 2 7
|
|
fiona 5 382 4 23
|
|
fiore 403 45 9 4
|
|
fiorina 10 568 44 2
|
|
fippinger 0 179 0 0
|
|
firebrand 1171 74 6 2
|
|
firefighter 4074 130 63 116
|
|
firehouses 2 0 0 348
|
|
fireman 541 6 9 22
|
|
firestone 151 34 111 14
|
|
firestorm 661 3 25 21
|
|
firing 284 22 216 340
|
|
firman 259 11 0 1
|
|
firn 120 1 3 2
|
|
firth 133 20 3 4
|
|
fischbacher 148 3 0 0
|
|
fischbeck 104 0 0 0
|
|
fischer 5659 434 81 80
|
|
fischler 140 1 2 4
|
|
fishbein 154 5 7 0
|
|
fisher 8961 1368 323 370
|
|
fisherman 2362 11 23 176
|
|
fishman 318 43 8 7
|
|
fisichella 513 0 2 3
|
|
fisk 409 38 20 5
|
|
fist 429 52 139 20
|
|
fists 43 3 4 770
|
|
fite 83 118 5 6
|
|
fitness 528 17 502 93
|
|
fitter 91 7 9 37
|
|
fitting 433 4 45 13
|
|
fittipaldi 235 2 1 1
|
|
fittler 359 2 0 2
|
|
fitts 106 22 3 3
|
|
fitz 133 17 5 2
|
|
fitzgerald 5855 318 79 63
|
|
fitzgibbon 141 11 2 1
|
|
fitzhenry 134 1 4 1
|
|
fitzpatrick 1457 217 36 44
|
|
fitzsimmons 470 100 9 17
|
|
fitzsimons 73 58 10 7
|
|
fizazi 149 0 0 0
|
|
fizer 443 12 2 19
|
|
flack 84 40 5 16
|
|
flagg 137 91 1 13
|
|
flaherty 935 103 13 13
|
|
flair 554 6 59 43
|
|
flak 51 4 40 10
|
|
flake 265 14 11 16
|
|
flanagan 1628 279 81 45
|
|
flanders 141 31 21 6
|
|
flanigan 187 32 1 6
|
|
flank 220 1 11 2
|
|
flanker 594 3 6 11
|
|
flannery 203 58 6 5
|
|
flannigan 25 284 2 9
|
|
flashback 154 0 10 4
|
|
flasher 83 7 8 3
|
|
flashes 99 1 52 267
|
|
flatley 485 5 2 9
|
|
flatt 163 15 2 1
|
|
flaugher 374 1 3 2
|
|
flavell 102 7 2 0
|
|
flavin 106 24 2 0
|
|
flecha 102 1 0 0
|
|
fleck 519 54 11 3
|
|
fleetwood 87 10 73 2
|
|
fleischer 2881 23 56 108
|
|
fleischmann 96 9 3 2
|
|
fleisher 577 10 3 2
|
|
fleiss 53 612 2 0
|
|
fleming 4204 417 1258 140
|
|
flemmi 379 0 0 0
|
|
flemming 96 35 3 4
|
|
flesch 782 4 2 3
|
|
fletcher 5379 379 154 90
|
|
fleury 3083 10 8 13
|
|
flew 95 0 3 3
|
|
flexor 825 1 3 0
|
|
flickinger 106 18 7 0
|
|
fliers 65 16 33 1672
|
|
flinn 111 43 2 3
|
|
flint 405 79 166 60
|
|
flintoff 1730 0 18 9
|
|
flip 600 4 52 11
|
|
flirting 107 4 12 8
|
|
flodquist 135 0 1 1
|
|
flood 540 120 402 184
|
|
floodwaters 16 7 14 565
|
|
flora 98 77 30 34
|
|
florence 314 172 226 46
|
|
flores 2449 483 14 83
|
|
florez 372 48 3 8
|
|
florian 78 27 3 1
|
|
floridian 264 28 0 11
|
|
floridians 26 2 20 2276
|
|
florio 131 14 1 7
|
|
florist 58 27 23 23
|
|
flory 77 44 2 2
|
|
flournoy 99 21 2 1
|
|
flower 418 39 265 61
|
|
flowers 810 393 147 924
|
|
floyd 4892 228 75 53
|
|
fluids 15 4 14 176
|
|
flush 423 5 37 34
|
|
flutie 973 2 2 3
|
|
flyer 167 23 113 33
|
|
flyers 142 4 126 9084
|
|
flyhalf 129 2 1 3
|
|
flynn 2693 373 39 70
|
|
flynt 807 7 6 6
|
|
foale 342 0 1 1
|
|
foe 1199 11 117 35
|
|
foellger 117 0 0 0
|
|
foes 108 9 90 1880
|
|
fofana 99 3 0 0
|
|
fogarty 207 139 10 11
|
|
fogel 567 7 1 25
|
|
fogelstrom 100 0 0 1
|
|
fogg 737 24 1 11
|
|
fogle 370 31 2 3
|
|
foley 4479 309 60 67
|
|
folk 94 18 69 868
|
|
folkes 103 1 2 4
|
|
folks 396 83 381 17131
|
|
follower 226 18 5 6
|
|
followers 226 27 71 7342
|
|
folsom 153 26 24 6
|
|
foltin 114 0 2 2
|
|
foltz 62 35 3 1
|
|
fonda 87 190 4 8
|
|
fong 564 138 13 12
|
|
fonseca 150 15 3 4
|
|
font 232 3 42 2
|
|
fontaine 363 75 11 10
|
|
fontana 277 43 47 10
|
|
fontenot 333 183 8 13
|
|
fontes 127 7 0 2
|
|
foo 93 16 3 5
|
|
fool 547 13 40 32
|
|
foot 2266 387 1066 288
|
|
footballer 1013 14 15 28
|
|
footballers 14 0 13 909
|
|
foote 426 75 12 11
|
|
footman 102 5 1 0
|
|
footnotes 166 0 5 11
|
|
footsteps 54 6 25 26
|
|
footwork 82 11 43 14
|
|
foppert 477 0 0 1
|
|
foran 91 18 19 1
|
|
forbes 1111 194 621 109
|
|
forciea 104 0 1 0
|
|
forde 122 33 5 2
|
|
fordham 254 20 204 21
|
|
fordice 200 30 0 0
|
|
fords 10 1 5 100
|
|
fordyce 211 7 2 2
|
|
forearm 169 63 23 5
|
|
forehead 1322 18 15 4
|
|
foreigner 746 34 19 31
|
|
foreman 3042 113 20 94
|
|
forester 178 15 11 8
|
|
forever 146 26 145 93
|
|
forex 131 0 14 4
|
|
forgeard 250 0 22 0
|
|
forger 128 0 3 0
|
|
forlan 332 0 0 0
|
|
forman 417 43 6 6
|
|
former 940 86 456 209
|
|
formica 229 2 36 0
|
|
forney 547 48 11 3
|
|
forrest 1207 92 26 15
|
|
forrester 446 64 298 34
|
|
forry 128 5 0 0
|
|
forsberg 2351 17 5 5
|
|
forsee 1076 1 16 3
|
|
forsman 178 8 1 1
|
|
forssell 282 0 8 3
|
|
forster 475 61 11 21
|
|
forstmann 119 1 14 0
|
|
forsyth 346 238 29 6
|
|
forsythe 474 38 19 7
|
|
fort 288 34 215 32
|
|
forte 411 52 40 14
|
|
fortenberry 310 17 0 1
|
|
fortier 853 40 4 5
|
|
fortin 114 30 3 7
|
|
fortner 101 71 4 3
|
|
fortney 84 15 1 0
|
|
fortnight 147 20 121 72
|
|
fortson 539 15 2 3
|
|
fortunato 139 44 1 5
|
|
fortuyn 295 0 0 0
|
|
forward 12389 605 639 386
|
|
foss 267 152 24 11
|
|
fosse 87 4 6 3
|
|
fossum 652 15 3 3
|
|
foster 8964 1088 229 140
|
|
foti 199 29 2 3
|
|
foudy 2 463 13 10
|
|
foul 479 26 146 76
|
|
foulke 1693 6 24 4
|
|
fouls 95 15 31 83
|
|
founder 6649 310 220 90
|
|
fountain 240 55 207 12
|
|
fourie 146 13 2 7
|
|
fournier 256 74 5 8
|
|
fourniret 167 1 0 0
|
|
fours 2051 20 6 79
|
|
fourth 1883 199 1049 776
|
|
fourtou 868 7 31 2
|
|
foust 176 75 4 7
|
|
fowler 2326 635 53 57
|
|
fowlkes 115 10 0 3
|
|
fox 16888 1269 2637 479
|
|
foxes 16 0 12 854
|
|
foxman 349 0 1 2
|
|
foxworth 152 15 1 4
|
|
foxworthy 149 14 0 2
|
|
foxx 1211 169 6 30
|
|
foy 763 70 9 9
|
|
foye 99 0 1 2
|
|
foyle 238 0 4 10
|
|
foyt 995 1 0 0
|
|
fpj 262 2 4 3
|
|
fracture 681 78 101 7
|
|
fractures 88 45 2 190
|
|
fradkov 375 0 3 9
|
|
frailey 96 2 0 3
|
|
fraley 148 172 2 2
|
|
frames 207 8 33 332
|
|
framness 98 10 0 0
|
|
frampton 325 11 4 2
|
|
fran 72 137 4 10
|
|
francesconi 251 3 4 3
|
|
franchione 1240 0 5 9
|
|
franchitti 702 0 6 0
|
|
francis 5784 298 61 68
|
|
francisco 1617 42 17 18
|
|
francke 27 150 1 0
|
|
franco 2882 166 14 46
|
|
francois 178 25 2 2
|
|
francona 2844 0 15 9
|
|
frank 6097 410 111 121
|
|
franke 96 26 3 3
|
|
frankel 4413 207 3 25
|
|
franken 1268 6 4 7
|
|
frankenstein 110 7 15 1
|
|
frankie 408 71 7 9
|
|
franklin 3044 1029 804 138
|
|
franks 7587 90 69 109
|
|
frantz 208 50 3 8
|
|
franz 346 43 3 20
|
|
franzen 96 20 3 4
|
|
fraser 1858 631 112 65
|
|
frasor 147 0 0 0
|
|
fratello 519 0 2 0
|
|
frattini 257 0 5 6
|
|
frausto 133 3 0 1
|
|
frawley 306 9 3 8
|
|
fray 825 4 34 36
|
|
frazar 562 0 1 0
|
|
frazer 147 39 6 7
|
|
frazier 1712 431 33 63
|
|
freak 803 27 14 7
|
|
fred 1323 15 42 52
|
|
freda 33 76 0 3
|
|
freddie 333 5 256 8
|
|
freddy 757 3 7 5
|
|
frederick 5175 191 82 53
|
|
fredericks 507 35 6 11
|
|
frederik 287 5 0 0
|
|
fredrickson 343 34 4 2
|
|
free 50 18 43 6
|
|
freebies 9 0 6 121
|
|
freedman 648 168 10 18
|
|
freeh 233 0 4 2
|
|
freel 412 17 2 1
|
|
freeland 278 32 33 9
|
|
freeman 2461 1624 101 126
|
|
freeney 423 2 2 0
|
|
freese 65 52 3 1
|
|
freestyle 724 19 48 11
|
|
frei 214 8 0 4
|
|
freije 381 3 3 3
|
|
freire 95 3 2 2
|
|
freitag 122 9 8 5
|
|
freitas 391 16 8 5
|
|
french 1485 431 1383 19478
|
|
frenchman 4332 1 38 37
|
|
frenchmen 31 0 23 411
|
|
frenchwoman 0 575 3 7
|
|
frentzen 103 1 1 0
|
|
frerotte 130 0 0 9
|
|
fresco 105 3 7 0
|
|
frese 46 79 3 6
|
|
freshman 6930 1314 76 297
|
|
freshney 100 0 0 0
|
|
freston 340 0 6 2
|
|
freud 253 7 7 3
|
|
freudenthal 1023 9 15 10
|
|
freund 137 36 2 6
|
|
frey 821 4211 9 91
|
|
friar 113 11 1 0
|
|
frick 177 25 8 5
|
|
fricke 92 44 5 4
|
|
fridman 520 2 1 0
|
|
friedberg 133 12 4 3
|
|
friedel 272 3 1 0
|
|
friedgen 890 1 8 15
|
|
friedland 98 4 2 0
|
|
friedman 2351 221 49 29
|
|
friedrich 221 11 2 8
|
|
friel 305 13 5 2
|
|
friend 13431 6710 728 1589
|
|
friends 7235 2806 2628 16631
|
|
friendships 51 9 22 87
|
|
frierson 53 168 3 5
|
|
fries 299 14 9 53
|
|
friesen 914 93 10 7
|
|
frink 85 17 4 0
|
|
frisbie 200 13 1 7
|
|
frisby 616 7 7 2
|
|
frisk 236 2 0 1
|
|
frist 7388 1 51 72
|
|
frith 90 8 1 2
|
|
fritsche 205 9 0 0
|
|
fritts 147 41 0 1
|
|
fritz 588 241 26 20
|
|
frodo 191 0 8 4
|
|
froehlich 224 18 3 1
|
|
froelich 101 10 1 5
|
|
froemming 253 4 0 0
|
|
frolov 145 0 0 1
|
|
fronds 56 0 5 50
|
|
frontman 703 3 7 6
|
|
frontrunner 229 10 5 7
|
|
frontwoman 0 135 1 0
|
|
frosh 123 3 4 19
|
|
frost 3690 268 104 57
|
|
frostbite 60 64 19 35
|
|
frum 93 12 4 3
|
|
fry 785 234 24 44
|
|
frye 1248 424 23 37
|
|
fryer 185 40 28 10
|
|
ftorek 211 0 3 0
|
|
fu 169 76 13 16
|
|
fualaau 735 1 0 1
|
|
fuchs 159 44 3 19
|
|
fudge 64 47 28 5
|
|
fuentes 687 117 13 52
|
|
fugate 129 50 2 15
|
|
fugitive 2919 36 17 20
|
|
fugitives 7 0 2 1530
|
|
fuhr 118 28 0 5
|
|
fuhrman 98 32 3 1
|
|
fuhs 169 4 0 2
|
|
fujimori 1374 2 2 1
|
|
fujita 128 6 1 2
|
|
fukra 332 0 0 0
|
|
fukuda 241 7 6 1
|
|
fukui 387 1 10 2
|
|
fulbright 80 28 8 1
|
|
fuld 188 0 2 0
|
|
fulkerson 80 38 6 0
|
|
fulks 657 21 6 3
|
|
fullback 1484 9 33 20
|
|
fuller 3100 658 70 71
|
|
fullmer 462 18 4 7
|
|
fulmer 2495 32 23 21
|
|
fulton 673 119 113 48
|
|
fultz 160 13 2 3
|
|
fumbles 65 1 43 59
|
|
fumo 200 0 8 6
|
|
fundamentalist 161 2 9 9
|
|
fundraisers 10 4 9 149
|
|
funeral 206 97 194 52
|
|
fung 131 13 6 3
|
|
funk 2652 88 107 23
|
|
fuqua 203 35 7 4
|
|
furberg 121 0 0 0
|
|
furcal 2229 0 0 2
|
|
furlong 593 24 9 4
|
|
furlongs 307 21 11 7
|
|
furlough 375 13 7 5
|
|
furness 101 13 4 13
|
|
furr 95 25 5 3
|
|
furst 126 34 2 0
|
|
furtado 78 89 1 3
|
|
furtherance 211 0 6 1
|
|
furyk 5601 1 13 5
|
|
fusco 166 23 5 14
|
|
fuss 68 9 62 20
|
|
futrell 92 51 4 2
|
|
fyffe 94 3 8 2
|
|
g 278 39 89 30
|
|
gabbard 187 12 4 4
|
|
gabe 159 11 3 3
|
|
gable 132 88 4 7
|
|
gabor 27 391 0 0
|
|
gaborik 1058 0 25 0
|
|
gabriel 1029 143 30 25
|
|
gabrielle 4 210 6 3
|
|
gadahn 178 0 1 0
|
|
gadd 102 5 1 0
|
|
gaddafi 858 0 16 0
|
|
gaddis 95 69 4 4
|
|
gaddy 84 21 2 1
|
|
gadhafi 5091 1 112 28
|
|
gadieyeva 1 183 0 0
|
|
gadsden 389 8 12 20
|
|
gaffer 506 1 11 24
|
|
gaffey 118 14 4 6
|
|
gaffney 623 42 16 12
|
|
gag 53 12 47 83
|
|
gage 425 53 19 16
|
|
gagliano 495 10 3 8
|
|
gagliardi 329 17 3 1
|
|
gagne 3940 21 6 13
|
|
gagnon 282 167 9 17
|
|
gail 21 272 140 25
|
|
gailey 848 7 8 4
|
|
gaines 1302 283 11 21
|
|
gainey 239 27 2 3
|
|
gainous 115 2 0 3
|
|
gait 250 2 10 3
|
|
gaither 201 36 14 5
|
|
gal 34 308 10 4
|
|
galab 164 0 0 4
|
|
galan 94 8 1 2
|
|
galante 188 33 2 4
|
|
galardi 244 9 3 2
|
|
galarraga 688 0 3 3
|
|
galati 196 7 1 0
|
|
galbraith 402 40 4 6
|
|
galbreath 116 8 2 1
|
|
galdino 108 0 0 0
|
|
gale 2018 109 42 30
|
|
galea 126 15 5 2
|
|
gales 29 15 10 61
|
|
galindo 240 69 2 10
|
|
gall 805 61 27 39
|
|
gallacher 238 6 2 2
|
|
gallagher 2306 516 79 74
|
|
gallant 282 64 17 12
|
|
gallardo 102 41 2 2
|
|
gallas 195 7 0 1
|
|
galle 151 10 20 0
|
|
gallegly 139 1 1 0
|
|
gallego 105 6 29 1
|
|
gallegos 756 191 6 14
|
|
galleries 43 72 42 463
|
|
galleymore 0 113 0 0
|
|
galli 117 4 4 0
|
|
galliano 121 4 1 0
|
|
galligan 125 14 1 3
|
|
gallion 214 4 1 1
|
|
gallo 518 69 42 24
|
|
gallop 439 75 46 9
|
|
galloway 1809 139 38 18
|
|
gallup 123 15 107 28
|
|
galson 127 0 51 1
|
|
galt 159 25 49 9
|
|
galvan 362 42 6 5
|
|
galvin 1167 42 17 30
|
|
gamache 207 16 3 0
|
|
gamal 373 0 1 0
|
|
gamarekian 0 102 0 0
|
|
gamber 130 7 1 1
|
|
gambhir 130 0 0 0
|
|
gambill 421 16 0 4
|
|
gambino 417 12 4 1
|
|
gamble 2252 151 397 85
|
|
gambler 494 33 10 15
|
|
gamboa 1049 16 2 2
|
|
games 5629 377 4397 8291
|
|
gamez 651 13 3 0
|
|
gammerman 126 1 1 1
|
|
gammon 411 35 5 2
|
|
gamwell 105 0 0 0
|
|
ganassi 547 0 4 0
|
|
gandhi 536 3793 53 57
|
|
gandhis 3 0 2 98
|
|
gandolfini 519 2 8 2
|
|
gandy 211 43 4 4
|
|
ganga 123 5 17 4
|
|
gangster 589 4 9 12
|
|
gangsters 24 7 2 605
|
|
ganguly 4339 6 52 70
|
|
ganim 1043 10 1 6
|
|
gann 187 32 3 4
|
|
gannett 1139 4 244 7
|
|
gannon 4497 98 63 30
|
|
gans 153 18 2 3
|
|
gansas 808 1 1 1
|
|
gansler 238 1 0 4
|
|
gant 399 34 3 4
|
|
gantt 165 17 0 1
|
|
ganz 251 33 7 1
|
|
garabedian 177 16 7 8
|
|
garagiola 266 0 2 10
|
|
garamendi 1461 2 26 3
|
|
garang 144 0 0 8
|
|
garber 449 69 30 10
|
|
garbin 5 279 0 0
|
|
garces 87 0 10 3
|
|
garcia 17064 1475 146 314
|
|
garciaparra 5585 2 36 10
|
|
garcía 85 26 6 3
|
|
gard 308 23 19 3
|
|
garda 128 20 18 19
|
|
gardai 21 9 15 303
|
|
gardaí 43 23 11 542
|
|
gardener 1028 77 15 39
|
|
gardenhire 1260 4 5 9
|
|
gardiner 442 77 58 24
|
|
gardner 5731 662 90 136
|
|
gardocki 135 1 1 0
|
|
garen 1769 0 2 11
|
|
gareth 265 5 13 3
|
|
garey 109 44 3 6
|
|
garfield 416 34 62 23
|
|
garfunkel 320 0 11 7
|
|
gargano 92 9 2 0
|
|
garibaldi 147 8 3 4
|
|
garibay 111 6 0 2
|
|
garland 1372 210 80 20
|
|
garlick 93 15 2 4
|
|
garman 81 24 3 6
|
|
garmon 146 16 2 1
|
|
garner 7072 422 229 94
|
|
garnett 6685 32 57 17
|
|
garnier 221 4 5 0
|
|
garofalo 142 39 2 2
|
|
garon 294 7 0 0
|
|
garrard 787 22 43 6
|
|
garraway 122 1 0 0
|
|
garret 123 7 1 1
|
|
garretson 86 6 5 14
|
|
garrett 2801 541 69 57
|
|
garrido 659 30 2 8
|
|
garrison 830 281 47 20
|
|
garrity 365 41 10 4
|
|
garry 163 108 8 14
|
|
garside 87 14 2 0
|
|
garson 183 7 4 2
|
|
garth 134 16 4 6
|
|
garton 205 5 5 3
|
|
garver 335 28 0 2
|
|
garvey 368 65 7 22
|
|
garvin 266 74 7 10
|
|
gary 3599 160 101 98
|
|
garza 1364 204 23 36
|
|
garzon 1022 0 0 13
|
|
gascoigne 405 6 0 3
|
|
gash 1406 73 17 6
|
|
gaskin 101 33 3 1
|
|
gaskins 97 26 3 4
|
|
gasnier 169 0 1 5
|
|
gasol 861 0 7 3
|
|
gaspar 94 42 4 4
|
|
gasparovic 328 0 19 0
|
|
gasper 81 25 1 0
|
|
gass 114 39 6 6
|
|
gast 61 84 2 1
|
|
gaston 348 70 117 10
|
|
gatanas 119 1 0 0
|
|
gatchis 164 0 0 0
|
|
gately 101 27 1 2
|
|
gates 5178 272 228 337
|
|
gatewood 89 17 1 2
|
|
gatlin 1258 34 10 3
|
|
gatson 411 20 0 0
|
|
gatt 114 4 9 3
|
|
gatti 1181 7 12 7
|
|
gatto 223 29 1 0
|
|
gattuso 94 7 0 1
|
|
gatwick 127 3 9 1
|
|
gaucci 111 0 0 0
|
|
gaudet 59 63 6 6
|
|
gaudin 154 3 0 2
|
|
gaudio 1791 2 2 12
|
|
gauger 116 12 2 1
|
|
gaughan 756 11 3 5
|
|
gaul 120 14 16 6
|
|
gault 80 65 4 2
|
|
gaur 109 15 1 10
|
|
gause 85 19 1 1
|
|
gauthier 458 55 11 9
|
|
gavaskar 249 0 5 2
|
|
gaven 171 0 0 1
|
|
gavin 673 76 14 12
|
|
gaviria 261 0 1 8
|
|
gawande 240 1 0 0
|
|
gay 1763 108 53 56
|
|
gayle 1256 98 4 10
|
|
gaylord 153 16 145 11
|
|
gaynor 150 22 3 6
|
|
gayoom 106 0 0 0
|
|
gaze 236 13 20 3
|
|
gazza 229 0 1 1
|
|
gbagbo 3270 2 8 8
|
|
gd 73 1 22 5
|
|
gearhart 125 16 0 4
|
|
gearlds 5 101 0 0
|
|
geary 224 37 3 2
|
|
gebrselassie 444 0 0 0
|
|
geddes 293 26 5 5
|
|
gee 481 64 15 16
|
|
geeben 0 265 0 0
|
|
geek 209 5 16 5
|
|
geelani 264 0 6 11
|
|
geer 304 20 3 4
|
|
geers 9 99 1 4
|
|
gehman 831 2 11 31
|
|
gehrig 173 4 2 1
|
|
gehring 2971 12 2 6
|
|
gehry 263 0 6 1
|
|
geiberger 154 0 0 1
|
|
geier 99 31 2 3
|
|
geiger 2622 104 18 21
|
|
geisel 114 46 3 3
|
|
geiser 202 16 2 1
|
|
geisler 107 69 2 8
|
|
geist 260 36 5 9
|
|
gelding 2523 6 48 0
|
|
geldof 193 0 5 2
|
|
gelfand 110 3 2 0
|
|
gelinas 438 15 9 2
|
|
gell 552 1 0 0
|
|
gellar 6 373 2 1
|
|
geller 649 15 6 7
|
|
gemma 40 76 0 10
|
|
gencarslan 146 0 0 0
|
|
gendron 66 115 4 16
|
|
general 38106 1090 6108 2201
|
|
genius 426 50 245 29
|
|
genshaft 28 102 2 3
|
|
gent 587 7 5 12
|
|
gentile 345 67 11 14
|
|
gentilozzi 267 0 1 2
|
|
gentleman 2463 24 28 49
|
|
gentlemen 40 4 18 753
|
|
gentry 631 193 40 24
|
|
gents 12 0 2 142
|
|
geoff 341 1 5 17
|
|
geoffrey 273 1 5 2
|
|
geoffroy 169 3 3 1
|
|
geoghan 3207 1 1 38
|
|
geologist 103 14 20 7
|
|
georgantas 0 117 0 0
|
|
george 12366 526 236 203
|
|
georges 84 19 12 15
|
|
georgian 253 3 10 5
|
|
georgine 109 6 0 0
|
|
gephardt 13500 40 32 52
|
|
geraghty 151 18 2 3
|
|
geragos 9925 93 59 24
|
|
gerald 559 33 9 19
|
|
geraldine 4 88 23 19
|
|
gerard 535 56 14 33
|
|
gerashchenko 138 0 4 0
|
|
gerber 629 139 41 12
|
|
gerberding 3 582 14 15
|
|
gere 478 4 1 6
|
|
geremi 204 0 0 3
|
|
gerfen 100 1 0 0
|
|
gerg 0 145 0 0
|
|
gergen 130 3 2 4
|
|
gerken 100 18 1 2
|
|
gerlach 349 14 3 5
|
|
germain 81 31 2 3
|
|
german 5403 203 195 52
|
|
germans 63 24 52 3980
|
|
gerrard 1876 23 24 30
|
|
gerry 447 31 14 13
|
|
gersh 113 0 0 0
|
|
gerson 152 8 3 2
|
|
gerst 143 9 2 2
|
|
gerstein 98 11 2 0
|
|
gerstner 157 12 5 1
|
|
gerut 661 0 3 2
|
|
gervais 216 28 6 8
|
|
gesser 664 0 2 3
|
|
gest 512 28 0 2
|
|
geter 187 8 0 1
|
|
gettelfinger 417 1 3 1
|
|
getty 286 26 60 8
|
|
getz 105 33 11 8
|
|
geyer 146 44 3 7
|
|
gezmen 697 0 0 0
|
|
ghafoor 110 0 1 26
|
|
ghai 104 2 4 2
|
|
ghailani 1497 0 0 0
|
|
ghanem 189 1 3 2
|
|
ghani 96 5 4 1
|
|
ghb 94 1 28 5
|
|
ghezali 136 3 0 0
|
|
ghias 591 0 0 0
|
|
ghiaurov 113 0 0 0
|
|
ghilotti 102 1 1 1
|
|
ghosh 128 18 7 10
|
|
ghosn 160 0 22 2
|
|
ghostzapper 379 0 5 0
|
|
gi 50 1 47 11
|
|
giacalone 348 5 1 0
|
|
giacoletti 102 0 1 1
|
|
giaffone 351 0 0 0
|
|
giamatti 304 0 0 1
|
|
giambi 7723 0 15 22
|
|
giambra 338 2 5 2
|
|
giancarlo 147 0 2 0
|
|
giannetti 115 11 2 1
|
|
gianni 126 5 0 3
|
|
giannini 176 14 1 3
|
|
giants 930 2 267 23821
|
|
giap 222 0 6 0
|
|
giardina 118 11 1 11
|
|
gibb 468 22 4 12
|
|
gibbons 2024 231 35 75
|
|
gibbs 7876 242 96 179
|
|
gibernau 286 0 2 1
|
|
giblin 99 8 1 1
|
|
gibney 79 26 0 4
|
|
gibson 8611 1269 141 211
|
|
giddens 197 47 4 3
|
|
giddings 67 37 7 9
|
|
gideon 143 14 5 5
|
|
gidley 100 6 11 1
|
|
giese 181 33 1 2
|
|
gietka 2 116 0 0
|
|
gifford 515 155 23 22
|
|
gigante 297 1 6 0
|
|
giggs 1096 0 5 31
|
|
gigliotti 113 5 0 1
|
|
giguere 4281 21 11 7
|
|
gil 755 28 53 15
|
|
gilad 635 1 8 4
|
|
gilani 101 0 2 1
|
|
gilbert 2728 724 164 82
|
|
gilberto 444 19 25 8
|
|
gilbertson 1269 20 16 11
|
|
gilchrest 125 4 0 0
|
|
gilchrist 2249 108 42 34
|
|
gilder 159 4 1 11
|
|
gildon 345 1 3 2
|
|
giles 3853 164 37 31
|
|
gilkey 82 13 2 5
|
|
gill 2641 322 41 74
|
|
gillan 86 35 3 3
|
|
gillard 45 95 14 4
|
|
gillaspie 22 132 0 2
|
|
gillen 515 25 8 8
|
|
gillerman 137 0 7 1
|
|
gilles 106 17 2 0
|
|
gillespie 3017 164 36 46
|
|
gillet 109 5 1 8
|
|
gillett 110 19 12 10
|
|
gilley 147 33 1 0
|
|
gilliam 568 102 6 13
|
|
gillian 14 109 3 8
|
|
gilliard 92 7 2 1
|
|
gillick 251 14 1 3
|
|
gillies 201 23 3 1
|
|
gilligan 3799 26 36 32
|
|
gilliland 206 91 2 3
|
|
gillingham 42 10 4 167
|
|
gillis 656 69 10 8
|
|
gillispie 313 13 3 4
|
|
gillman 343 54 3 2
|
|
gills 14 3 3 125
|
|
gilman 453 66 27 10
|
|
gilmartin 358 5 7 4
|
|
gilmer 93 7 19 6
|
|
gilmore 1350 296 25 17
|
|
gilmour 610 26 8 11
|
|
gilson 98 13 5 2
|
|
gilstrap 81 18 1 0
|
|
gilyard 431 5 1 0
|
|
gimbel 100 6 3 5
|
|
gin 69 11 33 5
|
|
gina 11 355 14 16
|
|
ginepri 450 2 1 0
|
|
ginger 22 135 29 8
|
|
gingrich 632 40 11 3
|
|
ginn 678 58 19 8
|
|
ginobili 834 0 2 3
|
|
ginsberg 901 122 2 12
|
|
ginsburg 141 714 9 3
|
|
ginter 502 16 4 0
|
|
gioia 247 17 4 7
|
|
gionta 336 2 0 1
|
|
giordano 1331 94 14 11
|
|
giorgio 101 15 2 4
|
|
giotopoulos 113 0 0 4
|
|
giovanni 190 33 1 0
|
|
gipper 145 0 3 0
|
|
gipson 282 78 8 6
|
|
girard 486 59 59 10
|
|
girardi 189 6 0 0
|
|
giricek 337 0 0 2
|
|
girl 2233 85612 472 1230
|
|
girlfriend 1851 8731 66 434
|
|
girlfriends 19 16 12 331
|
|
girolami 1035 17 3 5
|
|
girouard 78 61 7 1
|
|
giroux 113 17 2 4
|
|
giscard 124 0 13 1
|
|
gissin 313 0 27 2
|
|
gist 146 49 17 10
|
|
giteau 206 3 0 1
|
|
gittins 265 1 0 2
|
|
giuliani 4191 15 26 21
|
|
giuliano 160 26 5 3
|
|
give 190 12 157 226
|
|
given 356 8 12 9
|
|
givens 549 200 7 14
|
|
givers 0 2 1 258
|
|
gladiator 236 3 9 1
|
|
gladstone 82 25 33 5
|
|
gladu 248 9 0 1
|
|
gladys 6 182 1 6
|
|
glamorgan 27 0 4 334
|
|
glanville 392 7 3 1
|
|
glaser 368 64 9 6
|
|
glass 1105 404 987 123
|
|
glasscock 168 13 6 0
|
|
glasser 85 26 8 3
|
|
glasses 127 32 86 943
|
|
glassman 93 141 6 3
|
|
glaswegian 100 9 1 1
|
|
glaucoma 131 4 46 8
|
|
glaus 1215 0 6 3
|
|
glavine 4284 0 31 9
|
|
glazer 2761 27 26 23
|
|
glazier 91 18 1 0
|
|
gleason 600 138 14 8
|
|
gleeson 634 26 13 15
|
|
glen 555 42 32 34
|
|
glenda 8 102 0 11
|
|
glendening 324 15 7 1
|
|
glenn 3182 207 95 54
|
|
glens 5 0 1 94
|
|
glick 481 59 3 8
|
|
glickman 540 5 6 5
|
|
glidden 136 28 11 1
|
|
glimpse 258 47 217 153
|
|
glisan 940 4 0 1
|
|
glissmeyer 104 0 1 0
|
|
gload 218 3 0 1
|
|
glock 207 4 28 2
|
|
gloria 26 803 11 25
|
|
glotzer 5 194 0 0
|
|
gloucestershire 13 1 11 288
|
|
glover 1668 339 17 44
|
|
gloves 66 7 37 1030
|
|
glowatski 123 1 0 4
|
|
gluck 55 52 8 1
|
|
glynn 248 55 12 21
|
|
glyptis 106 0 1 2
|
|
gma 5 170 56 6
|
|
goad 124 24 1 6
|
|
goalie 5096 164 91 68
|
|
goalkeeper 3417 189 69 58
|
|
goals 2232 247 1381 3263
|
|
goalscorer 179 5 0 12
|
|
goaltender 2608 21 22 18
|
|
goatee 522 0 5 0
|
|
goater 107 1 1 3
|
|
goats 27 5 13 508
|
|
gobbell 1 110 0 0
|
|
gobble 498 2 2 6
|
|
gobbler 146 0 9 0
|
|
goble 63 44 1 3
|
|
gochneaur 140 0 0 0
|
|
god 24356 504 578 818
|
|
godard 102 5 2 4
|
|
goddard 656 63 34 29
|
|
goddess 4 204 8 2
|
|
godfather 805 6 33 10
|
|
godfrey 780 123 32 25
|
|
godin 163 25 3 5
|
|
godina 177 0 0 1
|
|
godinez 24 131 0 0
|
|
godmother 2 104 2 3
|
|
godsey 160 20 1 1
|
|
godson 140 1 1 0
|
|
godwin 389 69 9 19
|
|
godzilla 512 1 26 1
|
|
goebel 579 16 1 5
|
|
goedicke 26 106 0 1
|
|
goel 66 6 54 15
|
|
goepp 182 1 0 0
|
|
goering 127 9 3 1
|
|
goers 12 0 4 245
|
|
goestenkors 0 373 19 18
|
|
goetschl 0 193 1 0
|
|
goetz 339 51 6 7
|
|
goff 944 86 28 34
|
|
gogh 394 2 0 1
|
|
goglia 130 0 2 7
|
|
gogoi 148 0 5 0
|
|
goguen 163 2 2 1
|
|
goh 1509 25 57 32
|
|
gohmert 105 0 2 0
|
|
goin 370 14 6 6
|
|
goings 179 5 3 4
|
|
goins 237 103 2 9
|
|
gola 168 4 10 1
|
|
golan 616 6 15 2
|
|
goldberg 1419 525 38 37
|
|
goldblatt 109 19 0 3
|
|
goldby 129 9 1 0
|
|
golden 1621 92 23 45
|
|
goldenberg 67 20 14 11
|
|
goldie 68 55 4 3
|
|
goldin 465 23 35 2
|
|
golding 307 35 4 8
|
|
goldschmidt 906 57 14 1
|
|
goldsmith 1033 147 21 8
|
|
goldstein 1404 188 24 26
|
|
goldwater 138 17 6 2
|
|
golfer 3123 297 34 87
|
|
golfers 86 15 81 4112
|
|
goliath 53 6 50 3
|
|
golisano 891 0 6 2
|
|
gollum 289 3 4 4
|
|
golota 653 0 6 0
|
|
golovin 19 786 1 0
|
|
gomes 825 94 11 8
|
|
gomez 2280 411 34 55
|
|
gomi 168 1 1 2
|
|
gonchar 350 0 2 3
|
|
gong 66 44 23 10
|
|
gono 118 0 3 3
|
|
gonsalves 152 40 5 6
|
|
gonzales 2854 439 67 62
|
|
gonzalez 11506 941 92 118
|
|
gonzi 255 0 11 14
|
|
gooch 244 113 3 9
|
|
goodale 758 18 25 12
|
|
goodall 76 152 1 4
|
|
goodbye 82 55 39 48
|
|
goode 405 83 11 3
|
|
goodell 97 30 3 1
|
|
gooden 1193 38 6 14
|
|
goodenow 146 5 10 2
|
|
goodes 97 0 2 5
|
|
gooding 181 49 11 11
|
|
goodlatte 138 1 4 0
|
|
goodman 2159 373 140 65
|
|
goodreau 100 3 1 0
|
|
goodrem 2 296 4 10
|
|
goodrich 1432 66 448 21
|
|
goodridge 82 28 6 3
|
|
goodrum 280 11 0 1
|
|
goodson 170 85 7 7
|
|
goodwin 1778 383 35 64
|
|
goolsby 152 12 1 1
|
|
goorjian 148 1 5 17
|
|
goosen 3519 5 12 7
|
|
gopal 108 6 4 3
|
|
goral 212 3 6 1
|
|
gorbachev 701 1 4 2
|
|
gorcyca 615 1 0 4
|
|
gordillo 5 121 1 0
|
|
gordnick 249 0 0 0
|
|
gordon 22040 883 179 131
|
|
gordy 114 10 3 4
|
|
gore 13846 142 123 134
|
|
gorecki 24 96 0 2
|
|
gorelick 14 285 14 0
|
|
goren 192 8 0 1
|
|
gorham 179 58 17 8
|
|
gorman 919 163 33 32
|
|
gormley 197 21 3 13
|
|
gorran 311 0 4 5
|
|
gorski 92 80 4 3
|
|
gorton 226 19 7 2
|
|
gosling 139 13 3 0
|
|
gosnell 98 13 3 4
|
|
gospels 20 2 4 116
|
|
goss 5186 138 58 31
|
|
gossage 162 5 1 0
|
|
gosselin 98 35 5 12
|
|
gossett 138 32 5 5
|
|
goswami 80 50 1 5
|
|
goto 113 11 0 0
|
|
gottfried 421 2 3 5
|
|
gotti 1500 69 10 10
|
|
gottlieb 255 28 3 11
|
|
gottschalk 79 24 5 2
|
|
goudreault 0 197 0 1
|
|
goudy 132 10 0 1
|
|
gough 1357 45 13 20
|
|
gougne 1 208 0 0
|
|
gould 1260 244 36 39
|
|
goulet 147 18 1 2
|
|
gourley 74 29 2 2
|
|
govan 160 11 1 1
|
|
govender 58 35 0 11
|
|
governor 89295 3923 1810 1495
|
|
govinda 167 0 4 1
|
|
gow 240 10 5 4
|
|
gowan 93 21 1 1
|
|
gowda 150 0 6 6
|
|
gowdy 109 5 2 2
|
|
gowen 89 23 2 5
|
|
gower 193 19 3 8
|
|
gp 226 57 120 52
|
|
graaf 569 0 1 9
|
|
grabowski 167 22 0 6
|
|
grace 859 610 307 91
|
|
gracey 105 17 1 1
|
|
gracia 79 52 5 11
|
|
gracie 41 267 8 7
|
|
graczyk 8 103 0 0
|
|
grad 471 155 14 7
|
|
grader 295 235 28 20
|
|
grades 189 64 106 1408
|
|
gradi 129 0 0 4
|
|
gradkowski 303 0 3 3
|
|
grads 5 0 3 270
|
|
graduate 5495 1439 84 160
|
|
grady 661 83 66 25
|
|
graeme 289 4 4 5
|
|
graf 292 267 10 11
|
|
graff 425 73 8 13
|
|
graffanino 120 0 1 0
|
|
gragg 112 48 3 2
|
|
graham 19376 1189 200 240
|
|
grahame 421 25 1 0
|
|
grahams 3 1 0 102
|
|
grainger 110 32 29 6
|
|
graman 112 0 1 0
|
|
gramatica 421 0 2 4
|
|
gramm 140 8 1 1
|
|
grammer 559 7 4 2
|
|
grammy 46 48 17 11
|
|
granato 727 18 2 2
|
|
grandchild 50 47 3 18
|
|
grandchildren 134 92 30 1573
|
|
granddaughter 83 1713 11 29
|
|
granddaughters 5 40 0 114
|
|
grande 86 21 10 6
|
|
grandfather 6149 149 84 120
|
|
grandfathers 16 0 3 122
|
|
grandi 668 11 3 0
|
|
grandkids 19 6 11 270
|
|
grandma 33 664 33 18
|
|
grandmaster 108 2 1 1
|
|
grandmother 528 7279 77 240
|
|
grandmothers 9 10 5 290
|
|
grandpa 486 8 11 14
|
|
grandparents 110 77 38 2913
|
|
grandson 3595 102 38 51
|
|
grandsons 11 3 5 139
|
|
graner 3151 5 19 34
|
|
granger 593 135 23 10
|
|
granholm 14 2211 15 28
|
|
granny 8 185 11 3
|
|
grano 133 3 2 0
|
|
grant 5569 778 1346 348
|
|
grantham 127 34 7 30
|
|
grantski 200 2 0 3
|
|
granville 49 87 41 6
|
|
grasmanis 153 0 0 0
|
|
grasmick 7 199 5 3
|
|
grassley 1620 4 14 8
|
|
grasso 5772 19 20 17
|
|
gratitude 86 21 51 75
|
|
gratton 194 11 3 1
|
|
gratz 30 119 6 3
|
|
gravano 484 0 0 0
|
|
grave 2262 73 125 26
|
|
graves 3434 302 74 243
|
|
gravesen 248 0 3 4
|
|
gray 6947 1271 156 154
|
|
graybeal 89 9 0 2
|
|
graybill 74 23 0 4
|
|
grays 11 3 9 96
|
|
grayson 545 64 79 14
|
|
grazer 90 0 17 9
|
|
graziani 106 2 0 0
|
|
graziano 135 24 4 5
|
|
graziosa 465 0 0 1
|
|
grcic 125 0 0 0
|
|
greathouse 76 33 1 4
|
|
greats 20 4 6 351
|
|
greaves 139 23 11 4
|
|
grech 101 14 3 3
|
|
greco 447 83 5 18
|
|
greek 1691 18 153 47
|
|
greeley 141 24 40 8
|
|
green 36695 1952 641 457
|
|
greenberg 1271 188 26 24
|
|
greenblatt 131 12 5 2
|
|
greene 7078 663 60 101
|
|
greenfield 251 101 103 23
|
|
greenglass 103 7 0 2
|
|
greenhouse 17 365 283 186
|
|
greenleaf 88 51 2 1
|
|
greenlee 124 48 6 5
|
|
greenspan 15541 29 205 79
|
|
greenspun 485 0 0 2
|
|
greenstock 249 0 2 2
|
|
greenwald 285 107 4 13
|
|
greenwalt 42 81 1 2
|
|
greenwell 79 33 15 3
|
|
greenwood 899 166 240 46
|
|
greer 1801 250 31 48
|
|
greetings 29 5 19 281
|
|
gref 107 0 6 2
|
|
greg 2243 19 37 58
|
|
gregan 698 0 22 20
|
|
gregg 1450 159 12 30
|
|
gregoire 83 2013 14 7
|
|
gregor 101 9 2 5
|
|
gregory 2833 415 32 81
|
|
greifeld 114 0 9 0
|
|
greig 127 28 3 3
|
|
greiner 149 69 4 5
|
|
greinke 451 0 0 1
|
|
greist 120 1 1 0
|
|
grenades 58 2 13 2823
|
|
grenier 122 33 5 3
|
|
gresham 75 29 72 13
|
|
gretchen 10 105 1 3
|
|
gretna 4 44 21 106
|
|
gretzky 875 0 6 3
|
|
grey 421 147 139 21
|
|
grice 118 30 8 5
|
|
griego 143 18 4 2
|
|
grier 362 104 2 6
|
|
griese 2872 2 11 4
|
|
grieve 217 7 4 6
|
|
griffen 159 7 3 1
|
|
griffey 10460 8 14 4
|
|
griffin 5784 946 149 124
|
|
griffis 63 35 1 3
|
|
griffith 1614 328 67 48
|
|
griffiths 712 190 17 57
|
|
griggs 430 87 6 11
|
|
grigorenko 107 0 0 0
|
|
grigsby 144 27 1 3
|
|
grijalva 100 18 3 2
|
|
griles 494 0 0 0
|
|
grilli 117 2 1 0
|
|
grillo 85 25 1 7
|
|
grimace 101 0 0 0
|
|
grimaces 252 1 0 0
|
|
grimaldi 416 16 3 3
|
|
grimes 1233 223 18 20
|
|
grimm 526 105 13 13
|
|
grimsby 16 12 5 135
|
|
grimsley 406 38 4 5
|
|
grin 2515 83 44 6
|
|
grinch 105 1 7 2
|
|
grinnell 50 30 25 10
|
|
grinney 104 0 0 0
|
|
grinstein 948 0 15 3
|
|
grisham 362 28 2 6
|
|
grissom 1277 41 19 2
|
|
griswold 623 57 48 7
|
|
grizzly 117 4 25 2
|
|
groban 176 0 2 0
|
|
grobe 346 9 8 5
|
|
groce 235 31 2 2
|
|
groceries 59 27 53 168
|
|
groening 114 0 1 2
|
|
groff 147 33 1 6
|
|
grogan 1153 42 1 11
|
|
groh 826 19 12 12
|
|
groin 6725 22 51 22
|
|
gronholm 207 0 1 0
|
|
gronkjaer 195 0 1 2
|
|
groom 1145 51 6 50
|
|
grooming 13 1 12 233
|
|
grooms 105 27 1 58
|
|
grosjean 815 0 3 2
|
|
gross 2161 325 104 74
|
|
grossman 2708 134 92 49
|
|
grote 117 30 1 2
|
|
groth 106 82 4 4
|
|
grothman 130 5 2 0
|
|
grounder 503 9 253 9
|
|
groundhog 278 4 49 1
|
|
groundhogs 3 0 0 158
|
|
groundout 256 4 34 3
|
|
groundskeeper 276 2 2 4
|
|
grove 647 85 63 35
|
|
grover 343 85 17 8
|
|
groves 376 143 24 37
|
|
grower 354 6 46 22
|
|
grubb 148 61 4 4
|
|
grubbs 144 33 9 9
|
|
grube 129 24 2 2
|
|
gruber 221 73 19 6
|
|
grubman 854 60 6 4
|
|
gruden 4786 5 43 69
|
|
grudzielanek 495 1 0 0
|
|
grundy 72 17 25 121
|
|
grunfeld 204 1 2 3
|
|
grunts 5 4 2 90
|
|
grunwald 374 4 4 3
|
|
gruttadauria 161 16 1 0
|
|
gryboski 172 0 0 0
|
|
gryzlov 111 0 1 2
|
|
guantanamo 1123 0 31 9
|
|
guard 25201 1518 1069 416
|
|
guardado 799 4 23 2
|
|
guards 496 69 187 10268
|
|
guardsman 245 0 1 3
|
|
guardsmen 17 0 8 1216
|
|
guarini 112 4 2 6
|
|
guay 119 16 0 0
|
|
guccione 308 7 3 2
|
|
gudjohnsen 335 0 2 1
|
|
gudjonsson 135 0 0 1
|
|
guenther 499 48 3 6
|
|
guerillas 7 1 4 516
|
|
guerin 806 44 13 4
|
|
guerra 379 131 7 18
|
|
guerrero 4603 213 19 56
|
|
guerriero 127 5 0 3
|
|
guerrilla 452 11 20 3
|
|
guerrillas 101 3 82 10107
|
|
guessing 51 0 40 21
|
|
guest 2460 320 79 253
|
|
guests 147 72 117 10678
|
|
guevara 255 211 2 5
|
|
gugliotta 109 4 1 2
|
|
guido 97 10 2 3
|
|
guidry 312 65 6 9
|
|
guidugli 702 0 1 0
|
|
guiel 380 0 0 0
|
|
guillen 5628 25 26 51
|
|
guillon 113 0 0 0
|
|
guillory 180 28 1 5
|
|
guilt 174 15 79 27
|
|
guiney 108 10 0 2
|
|
guingona 200 4 4 3
|
|
guinn 1262 62 16 37
|
|
guise 150 4 9 14
|
|
guitarist 1422 14 12 11
|
|
guite 236 12 2 1
|
|
guité 153 2 2 2
|
|
gul 1915 24 70 425
|
|
gulas 237 1 0 0
|
|
gulbis 2 109 0 0
|
|
guler 59 0 6 48
|
|
gulley 358 45 1 6
|
|
gully 274 6 9 1
|
|
gumbo 103 1 27 8
|
|
gunawan 125 1 0 0
|
|
gund 442 16 5 2
|
|
gunderson 234 96 7 26
|
|
gunfight 390 0 42 4
|
|
gunman 9979 81 29 192
|
|
gunmen 1491 500 65 19141
|
|
gunn 832 148 48 20
|
|
gunner 684 11 7 9
|
|
gunners 43 0 24 2526
|
|
gunpoint 30 34 11 612
|
|
guns 212 41 148 7381
|
|
gunships 44 0 5 564
|
|
gunshots 27 11 17 86
|
|
gunter 204 329 14 4
|
|
gunther 168 46 5 5
|
|
guo 86 90 26 23
|
|
gupta 741 70 39 28
|
|
gupton 117 8 1 12
|
|
gurganus 35 10 0 57
|
|
gurley 99 21 1 3
|
|
gurney 130 76 15 3
|
|
guru 1012 139 46 28
|
|
gus 544 10 301 17
|
|
gusinsky 168 0 1 0
|
|
gusmao 149 1 0 3
|
|
gust 371 23 23 13
|
|
gustafson 282 234 8 22
|
|
gustafsson 107 0 0 6
|
|
guthrie 782 185 63 15
|
|
gutierrez 4284 336 42 63
|
|
gutknecht 176 1 1 0
|
|
gutman 496 14 0 1
|
|
gutmann 25 86 0 1
|
|
gutnick 367 1 1 2
|
|
guy 52237 388 1017 1023
|
|
guyer 162 13 10 5
|
|
guynn 124 0 1 1
|
|
guyton 194 36 9 2
|
|
guzman 1983 218 8 22
|
|
gwen 4 270 2 13
|
|
gwin 117 28 3 0
|
|
gwinn 163 40 4 2
|
|
gwyneth 4 140 1 2
|
|
gwynn 783 5 3 5
|
|
gymnast 134 150 8 18
|
|
gymnasts 9 22 5 1015
|
|
gyulai 81 17 1 3
|
|
gyurcsany 110 0 0 0
|
|
h 612 36 105 29
|
|
ha 202 39 39 10
|
|
haag 164 40 6 5
|
|
haalima 0 214 0 0
|
|
haan 140 0 1 4
|
|
haar 198 12 2 3
|
|
haas 6223 164 52 32
|
|
haase 157 21 9 4
|
|
haaser 4 133 1 1
|
|
haass 98 0 8 0
|
|
habay 166 1 1 1
|
|
haber 105 26 11 2
|
|
habib 626 68 8 39
|
|
habits 62 16 54 1857
|
|
hachemi 312 2 0 2
|
|
hack 172 46 43 9
|
|
hackel 135 3 2 11
|
|
hacker 858 36 40 46
|
|
hackett 3104 105 22 20
|
|
hackford 98 4 0 1
|
|
hacking 2060 60 1 2
|
|
hackman 143 24 4 6
|
|
hackney 336 16 15 5
|
|
hackworth 87 24 1 0
|
|
haddad 636 88 10 9
|
|
hadden 177 83 3 4
|
|
haddock 97 141 6 9
|
|
haddon 239 13 6 1
|
|
haden 192 14 6 4
|
|
hadi 528 36 6 4
|
|
hadid 31 112 1 3
|
|
hadley 1090 93 14 24
|
|
hadow 215 15 1 2
|
|
haehnel 524 0 3 0
|
|
haermeyer 91 2 6 3
|
|
hafeez 412 5 0 3
|
|
hafer 52 99 3 6
|
|
hafiz 176 5 0 9
|
|
hafner 1088 17 10 5
|
|
haft 114 16 0 2
|
|
hagan 1007 82 18 18
|
|
hagans 275 12 1 4
|
|
hagar 148 22 0 8
|
|
hage 498 19 4 4
|
|
hagee 268 1 0 2
|
|
hagel 570 6 8 31
|
|
hagen 445 208 12 17
|
|
hagens 242 0 0 3
|
|
hager 425 96 10 17
|
|
hagerty 148 38 5 8
|
|
haggerty 264 42 5 8
|
|
hagler 121 22 4 3
|
|
hagman 140 4 1 1
|
|
hagood 62 122 2 1
|
|
hague 348 23 15 6
|
|
hahn 1949 183 35 27
|
|
hai 173 8 6 2
|
|
haidalla 298 0 0 0
|
|
haidar 198 3 1 0
|
|
haider 1750 32 14 14
|
|
haidl 165 3 4 4
|
|
haig 117 20 0 1
|
|
haigh 62 252 0 2
|
|
haight 181 52 6 4
|
|
hail 348 3 40 45
|
|
hailey 634 184 12 9
|
|
hain 624 16 92 9
|
|
haine 103 2 1 1
|
|
haines 626 189 30 22
|
|
hainkel 249 0 0 0
|
|
hairdresser 71 286 4 7
|
|
haire 82 29 0 1
|
|
hairs 117 11 11 43
|
|
hairston 1351 62 7 16
|
|
haith 142 5 5 0
|
|
haitian 120 0 0 6
|
|
haitians 10 0 8 2845
|
|
hajek 201 10 0 1
|
|
hake 145 8 5 1
|
|
hakim 898 16 15 32
|
|
hal 229 5 69 27
|
|
halabi 120 0 3 0
|
|
halama 399 7 2 0
|
|
haldeman 113 24 2 2
|
|
halder 522 4 0 1
|
|
hale 3716 379 32 50
|
|
hales 243 29 23 23
|
|
haley 546 455 16 43
|
|
halfback 386 2 5 5
|
|
halfbridled 1 289 0 2
|
|
halford 112 12 2 7
|
|
hall 20448 2120 1527 696
|
|
halladay 2191 12 4 6
|
|
halle 19 104 1 5
|
|
haller 189 66 3 4
|
|
hallett 74 17 5 12
|
|
halley 120 30 1 1
|
|
halliday 114 54 3 8
|
|
hallinan 842 11 8 3
|
|
hallman 251 37 4 8
|
|
hallock 98 16 3 4
|
|
halloran 193 39 4 1
|
|
halls 47 13 38 538
|
|
hallums 2 157 0 0
|
|
hallways 2 2 1 440
|
|
halper 93 4 2 4
|
|
halperin 79 10 2 10
|
|
halpern 721 18 4 0
|
|
halpin 109 23 2 3
|
|
halsey 506 19 6 3
|
|
halstead 191 33 13 9
|
|
halter 294 6 7 6
|
|
haltom 213 26 6 5
|
|
haluska 119 0 0 1
|
|
halverson 80 29 4 5
|
|
halvorsen 197 12 1 0
|
|
ham 478 179 88 18
|
|
hamad 691 6 5 5
|
|
hamann 143 36 2 2
|
|
hambali 1819 4 12 13
|
|
hambleton 566 5 2 1
|
|
hamblin 108 19 0 2
|
|
hambrick 637 12 2 0
|
|
hamby 92 21 1 0
|
|
hamdan 2259 3 13 8
|
|
hamdani 234 1 0 2
|
|
hamden 87 0 58 1
|
|
hamdi 3384 0 3 13
|
|
hamed 210 6 0 2
|
|
hameed 581 6 1 3
|
|
hamel 239 32 6 3
|
|
hamer 228 29 4 5
|
|
hames 103 13 0 5
|
|
hamid 610 4 7 10
|
|
hamidi 318 1 1 3
|
|
hamill 7115 95 10 13
|
|
hamilton 15787 1299 766 308
|
|
hamister 608 0 1 1
|
|
hamlet 119 11 96 40
|
|
hamlett 102 11 0 1
|
|
hamlin 312 84 21 16
|
|
hamm 5212 1150 43 30
|
|
hammadi 185 0 0 2
|
|
hamman 160 14 1 4
|
|
hammer 2418 127 200 41
|
|
hammerman 246 6 2 0
|
|
hammers 26 11 6 779
|
|
hammett 291 14 4 6
|
|
hammock 359 31 9 4
|
|
hammon 86 107 3 8
|
|
hammond 1451 272 90 58
|
|
hammonds 392 31 14 25
|
|
hammons 181 58 14 4
|
|
hamner 84 20 1 1
|
|
hamon 553 9 1 4
|
|
hamoodi 170 0 0 0
|
|
hampton 4246 250 275 126
|
|
hamrick 287 45 7 7
|
|
hamrlik 105 0 3 0
|
|
hams 23 8 1 173
|
|
hamson 213 0 0 0
|
|
hamstring 8357 61 81 50
|
|
hamza 576 3 3 9
|
|
hamzah 242 2 3 2
|
|
han 292 1302 11 13
|
|
hanan 25 103 1 2
|
|
hanash 159 0 0 0
|
|
hanaway 9 197 2 9
|
|
hancock 1147 274 225 47
|
|
hand 3987 1238 3886 1427
|
|
handal 116 4 3 1
|
|
handbag 11 232 47 8
|
|
handcuffs 129 41 10 43
|
|
handel 192 119 3 8
|
|
hander 265 3 3 0
|
|
handguns 10 2 4 646
|
|
handicapper 131 7 6 1
|
|
handicappers 6 0 3 108
|
|
handler 1091 60 46 26
|
|
handlers 358 35 23 1596
|
|
handley 98 39 74 22
|
|
hands 2809 859 1676 2932
|
|
handy 88 24 7 4
|
|
handyman 647 2 4 4
|
|
handzus 334 0 0 1
|
|
hanegbi 202 0 10 3
|
|
hanes 79 34 2 9
|
|
haney 531 148 9 18
|
|
hanford 26 58 29 8
|
|
hanger 179 5 54 5
|
|
hangman 148 0 1 5
|
|
hanif 294 2 1 7
|
|
hank 449 21 11 8
|
|
hankins 214 59 54 14
|
|
hankinson 90 12 1 5
|
|
hanks 661 63 24 48
|
|
hankwitz 100 0 0 0
|
|
hanley 309 171 8 15
|
|
hanlon 317 53 9 6
|
|
hann 143 32 8 1
|
|
hanna 714 282 58 24
|
|
hannah 294 1324 15 33
|
|
hannan 282 23 10 7
|
|
hannemann 147 17 5 3
|
|
hannigan 167 95 2 5
|
|
hannity 307 4 3 1
|
|
hannon 263 52 9 16
|
|
hannum 64 74 1 2
|
|
hanrahan 154 66 10 7
|
|
hans 210 23 6 8
|
|
hansberger 112 5 0 1
|
|
hansbrough 140 2 0 0
|
|
hansen 4159 747 94 127
|
|
hanson 1642 1206 230 106
|
|
hanssen 308 3 1 0
|
|
hantuchova 0 1061 3 2
|
|
haq 487 3 9 9
|
|
harada 141 11 1 4
|
|
harang 429 0 2 1
|
|
harbaugh 312 31 2 2
|
|
harbhajan 1052 0 3 4
|
|
harbison 97 10 1 6
|
|
harcourt 169 6 22 0
|
|
hardaway 563 17 23 4
|
|
hardee 361 7 18 8
|
|
harden 690 39 8 11
|
|
hardest 37 1 26 55
|
|
hardesty 206 37 4 6
|
|
hardin 712 134 23 33
|
|
harding 811 608 116 47
|
|
hardliners 21 1 14 662
|
|
hardman 125 58 23 7
|
|
hardrick 11 161 1 1
|
|
hardwick 369 19 5 4
|
|
hardy 961 216 17 27
|
|
hare 337 84 24 15
|
|
harelson 206 0 0 0
|
|
haren 438 1 2 1
|
|
harford 121 3 12 1
|
|
hargett 152 24 3 2
|
|
hargis 122 40 3 4
|
|
hargon 338 0 0 0
|
|
hargrave 80 45 12 5
|
|
hargreaves 283 7 4 4
|
|
hargrove 1530 75 13 12
|
|
hargrow 138 2 0 0
|
|
hariri 861 4 6 6
|
|
harith 186 0 1 2
|
|
harkat 205 12 8 4
|
|
harker 77 17 5 3
|
|
harkin 949 16 15 25
|
|
harkins 220 64 5 7
|
|
harkleroad 31 945 1 0
|
|
harkness 96 22 10 3
|
|
harlan 421 54 41 16
|
|
harlequins 12 0 5 188
|
|
harley 304 97 274 40
|
|
harlin 93 3 1 3
|
|
harlow 196 43 8 22
|
|
harm 365 86 264 238
|
|
harman 279 397 41 10
|
|
harmer 56 46 3 2
|
|
harmison 949 2 10 13
|
|
harmon 1857 305 36 39
|
|
harms 159 96 14 10
|
|
harn 772 10 2 6
|
|
harner 85 4 4 7
|
|
harness 92 26 31 8
|
|
harnett 184 3 0 4
|
|
harney 78 117 11 5
|
|
harnisch 127 12 1 3
|
|
harold 502 146 10 13
|
|
harp 187 35 36 16
|
|
harper 5380 728 115 106
|
|
harpring 384 0 2 0
|
|
harrah 63 11 61 8
|
|
harrell 942 376 21 20
|
|
harrelson 194 30 0 3
|
|
harrick 1957 1 10 4
|
|
harridge 99 0 1 0
|
|
harriers 3 1 2 96
|
|
harriet 4 92 2 3
|
|
harrigan 780 83 10 5
|
|
harriman 157 36 9 6
|
|
harrington 7495 400 57 77
|
|
harris 18834 4445 410 383
|
|
harrison 8272 802 212 205
|
|
harrod 88 9 4 1
|
|
harrop 24 77 0 0
|
|
harry 5669 93 42 102
|
|
hart 6122 715 190 113
|
|
harte 153 8 1 6
|
|
harter 142 105 1 2
|
|
harth 149 1 1 0
|
|
hartigan 118 10 0 2
|
|
hartke 104 2 1 2
|
|
hartley 1172 137 26 19
|
|
hartman 1103 291 17 32
|
|
hartmann 184 45 12 5
|
|
hartnett 279 34 6 6
|
|
hartridge 738 0 0 2
|
|
hartson 488 4 1 11
|
|
hartwell 109 23 15 8
|
|
hartwick 64 13 61 2
|
|
hartwig 185 24 7 4
|
|
harty 73 31 3 2
|
|
hartzell 73 41 4 0
|
|
harvey 4579 597 96 81
|
|
harvick 4455 0 26 40
|
|
harwell 191 54 4 2
|
|
harwood 454 50 16 11
|
|
hasan 627 45 11 2
|
|
hasegawa 337 5 2 4
|
|
hasek 2070 1 12 5
|
|
haseltine 88 1 14 0
|
|
hashem 362 4 2 0
|
|
hashida 242 5 0 0
|
|
hashim 213 6 3 4
|
|
hashimoto 153 13 1 7
|
|
hashmi 315 22 5 16
|
|
hasina 6 260 8 10
|
|
haskell 173 39 35 5
|
|
haskins 560 52 7 12
|
|
haslam 277 12 3 1
|
|
hasler 101 17 6 1
|
|
haslett 1140 5 13 14
|
|
hass 198 29 7 4
|
|
hassan 1289 2053 24 206
|
|
hasselbaink 285 0 1 5
|
|
hasselbeck 2183 17 8 10
|
|
hasselhoff 171 0 0 0
|
|
hassell 375 37 6 2
|
|
hassett 117 30 3 3
|
|
hasson 141 23 4 1
|
|
hassoun 10522 3 9 112
|
|
haste 188 3 19 6
|
|
hastert 1481 3 17 31
|
|
hastings 1344 140 153 79
|
|
hasty 95 9 4 2
|
|
hasuike 152 2 0 16
|
|
hatab 1580 2 0 25
|
|
hatalsky 250 4 0 0
|
|
hatch 3264 262 129 42
|
|
hatchell 58 170 2 3
|
|
hatcher 858 105 4 6
|
|
hatchett 200 19 3 7
|
|
hatchlings 1 0 0 151
|
|
haters 21 0 3 157
|
|
hatfield 1732 121 25 15
|
|
hatfill 1609 0 10 1
|
|
hathaway 338 313 22 5
|
|
hatley 250 42 0 5
|
|
hatteberg 663 0 5 0
|
|
hatten 322 1 4 77
|
|
hatton 625 33 32 8
|
|
hattori 104 5 0 0
|
|
hatzout 126 0 0 0
|
|
hauck 382 29 5 14
|
|
haugen 117 71 3 8
|
|
hauritz 190 0 5 0
|
|
hausen 103 1 0 0
|
|
hauser 303 106 14 6
|
|
havel 674 17 28 8
|
|
havenner 277 0 0 0
|
|
havens 131 44 29 41
|
|
havlat 645 0 0 1
|
|
havret 189 0 0 0
|
|
hawash 453 0 1 3
|
|
hawass 228 0 4 1
|
|
hawes 143 38 6 2
|
|
hawk 803 109 125 22
|
|
hawke 390 26 11 8
|
|
hawker 291 26 29 12
|
|
hawkes 195 22 5 9
|
|
hawking 1117 2 19 5
|
|
hawkins 3986 734 76 81
|
|
hawkish 904 0 18 2
|
|
hawks 291 33 199 11807
|
|
hawley 359 172 24 11
|
|
hawn 35 101 2 2
|
|
haworth 90 83 23 5
|
|
hawthorne 547 48 58 15
|
|
hay 908 130 162 42
|
|
hayakawa 102 8 0 2
|
|
hayashi 320 64 3 3
|
|
hayat 238 3 8 12
|
|
hayden 1919 316 67 38
|
|
hayek 60 191 10 1
|
|
hayes 4469 1077 90 130
|
|
hayley 13 281 6 8
|
|
hayman 159 24 4 4
|
|
haynes 2185 488 56 40
|
|
haynesworth 390 2 0 1
|
|
haynie 113 58 0 2
|
|
hays 380 113 178 44
|
|
hayward 560 112 91 34
|
|
haywood 978 142 14 7
|
|
hayworth 131 10 1 3
|
|
hayyat 493 0 0 0
|
|
hazare 130 0 1 0
|
|
hazel 84 187 16 10
|
|
hazelip 193 1 0 0
|
|
hazelton 132 18 1 1
|
|
hazem 330 0 0 1
|
|
hazen 95 32 18 3
|
|
hazim 425 0 0 0
|
|
hazlett 86 27 1 2
|
|
hazzard 165 30 0 1
|
|
head 71511 2648 3829 1641
|
|
headdress 68 3 42 3
|
|
headley 143 31 4 1
|
|
headlock 416 13 6 1
|
|
headmaster 457 15 10 17
|
|
headmistress 1 111 1 8
|
|
headteacher 153 84 9 27
|
|
healer 171 35 5 4
|
|
healey 441 173 8 46
|
|
healy 949 110 30 22
|
|
heaney 211 21 1 2
|
|
heap 467 9 31 38
|
|
heard 111 29 17 5
|
|
hearing 1955 499 1653 698
|
|
hearn 608 87 14 7
|
|
hearne 48 42 7 4
|
|
hearns 92 8 1 7
|
|
heartbeat 159 7 39 8
|
|
heartthrob 207 6 4 1
|
|
heath 1553 201 49 58
|
|
heathen 4 0 0 110
|
|
heather 50 1188 23 48
|
|
heatherington 55 982 4 3
|
|
heatley 4813 3 5 3
|
|
heaton 259 80 7 10
|
|
heatwole 454 0 1 0
|
|
heavens 63 8 12 25
|
|
heavin 126 2 0 0
|
|
heavyweight 2157 4 121 24
|
|
hebert 782 141 16 27
|
|
heche 0 154 1 1
|
|
hechler 96 6 1 0
|
|
hecht 452 51 13 4
|
|
heck 262 79 167 82
|
|
hecker 245 19 5 5
|
|
heckler 421 12 0 2
|
|
hecklers 12 1 3 87
|
|
heckman 128 42 3 6
|
|
hector 456 16 31 8
|
|
hedberg 600 17 4 4
|
|
hedge 391 10 67 12
|
|
hedgepeth 46 86 1 0
|
|
hedges 353 877 13 32
|
|
hedican 177 4 0 0
|
|
hedlund 120 26 1 1
|
|
hedman 189 10 3 2
|
|
hedrick 314 53 3 11
|
|
heed 421 20 21 20
|
|
heel 172 22 66 12
|
|
heemeyer 374 0 0 2
|
|
heenan 152 31 4 5
|
|
hefer 106 1 10 3
|
|
heffelfinger 116 3 0 10
|
|
heffernan 192 31 5 2
|
|
heffron 106 6 1 1
|
|
hefley 314 27 2 3
|
|
heflin 444 18 5 17
|
|
hefner 482 21 10 4
|
|
hegarty 176 51 2 5
|
|
hege 870 12 1 0
|
|
hegerty 2 100 0 2
|
|
heiberg 130 1 1 1
|
|
heiden 132 16 2 0
|
|
heidenreich 91 6 2 2
|
|
heidi 11 347 9 19
|
|
heil 40 69 9 20
|
|
heiland 104 2 0 0
|
|
heilman 386 38 3 11
|
|
heim 64 39 1 7
|
|
heimlich 142 9 7 7
|
|
hein 113 51 4 5
|
|
heineman 92 30 2 1
|
|
heinrich 149 39 8 5
|
|
heinrichs 15 658 5 6
|
|
heinze 321 24 0 4
|
|
heir 1718 59 9 9
|
|
heiress 0 649 1 0
|
|
heirs 21 6 7 810
|
|
hejduk 747 0 0 0
|
|
hekmatyar 424 0 3 0
|
|
helder 414 2 0 0
|
|
helen 28 984 124 40
|
|
helene 6 252 3 3
|
|
helio 119 0 6 0
|
|
hellboy 121 0 28 1
|
|
heller 720 121 20 26
|
|
helling 331 6 3 0
|
|
hello 40 22 28 32
|
|
helm 288 135 107 23
|
|
helmick 604 21 0 4
|
|
helmly 202 1 2 1
|
|
helms 1582 69 26 16
|
|
helmsley 70 240 5 0
|
|
helper 98 48 18 11
|
|
helpers 28 9 12 347
|
|
helton 1616 61 29 29
|
|
helvenston 210 1 0 1
|
|
helzer 383 9 0 5
|
|
hembree 121 17 1 2
|
|
hemenway 439 4 0 4
|
|
hemingway 589 44 11 6
|
|
hemmings 259 23 7 2
|
|
hemphill 514 124 6 10
|
|
henault 96 6 7 3
|
|
hench 52 49 2 3
|
|
henchmen 60 1 4 52
|
|
hend 129 1 1 0
|
|
hendee 219 4 1 1
|
|
hendershot 108 15 0 2
|
|
henderson 5996 996 199 160
|
|
hendon 66 10 1 52
|
|
hendren 106 28 1 7
|
|
hendrex 105 4 0 0
|
|
hendrick 486 22 433 42
|
|
hendricks 699 163 11 29
|
|
hendrickson 1183 181 11 14
|
|
hendrie 219 1 2 9
|
|
hendrix 861 121 6 19
|
|
hendry 1290 21 12 25
|
|
henin 2 219 1 10
|
|
heninger 157 8 0 1
|
|
henke 83 19 3 4
|
|
henley 599 75 44 41
|
|
henman 6687 1 24 19
|
|
henn 110 18 1 3
|
|
henne 509 7 3 1
|
|
hennessey 249 44 9 18
|
|
hennessy 194 51 7 5
|
|
hennig 156 6 3 2
|
|
hennigan 67 35 0 2
|
|
henning 455 90 16 12
|
|
henningsen 176 13 2 1
|
|
henri 163 8 11 2
|
|
henrickson 29 188 4 3
|
|
henrik 354 0 7 1
|
|
henry 11908 860 154 228
|
|
hensby 671 0 0 0
|
|
henshaw 127 41 2 6
|
|
hensley 1035 184 63 16
|
|
henson 4298 152 40 28
|
|
hentgen 561 0 2 3
|
|
hentrich 236 0 0 0
|
|
hepatitis 151 7 17 8
|
|
hepburn 43 3249 9 10
|
|
heppner 151 5 1 2
|
|
heras 301 4 2 0
|
|
herb 384 11 70 11
|
|
herbert 1092 110 15 37
|
|
herbie 148 0 6 1
|
|
herbst 201 30 11 5
|
|
herdman 103 5 0 1
|
|
heredia 273 29 2 3
|
|
hereford 52 11 24 57
|
|
herenton 311 0 4 7
|
|
herges 348 0 27 1
|
|
herlihy 89 6 3 4
|
|
herman 1103 281 32 23
|
|
hermann 145 39 10 7
|
|
hermanson 979 18 2 18
|
|
hernandez 9529 859 55 119
|
|
herndon 456 69 27 14
|
|
hero 9575 157 198 153
|
|
heroics 69 6 20 52
|
|
heroine 2 972 5 1
|
|
heroines 2 5 0 170
|
|
heron 89 52 43 8
|
|
herr 299 54 3 6
|
|
herren 122 15 0 1
|
|
herrera 1005 332 13 19
|
|
herrick 156 31 6 6
|
|
herrin 64 24 53 5
|
|
herring 783 189 38 59
|
|
herrington 855 35 2 8
|
|
herrion 146 0 1 2
|
|
herrmann 244 55 6 10
|
|
herron 1430 76 23 13
|
|
herseth 7 535 8 2
|
|
hersey 50 20 33 6
|
|
hersh 621 44 8 10
|
|
hershberger 175 13 1 6
|
|
herta 587 0 0 0
|
|
hertling 413 0 0 3
|
|
hertz 151 25 75 14
|
|
hertzberg 170 3 5 1
|
|
hervey 88 19 3 3
|
|
herz 149 13 0 0
|
|
herzfeld 156 4 6 2
|
|
herzog 344 87 10 10
|
|
hes 135 2 11 128
|
|
hesebeck 124 0 0 0
|
|
hesitancy 88 1 8 6
|
|
hesitation 779 7 40 25
|
|
heskey 415 0 5 4
|
|
hess 843 271 116 23
|
|
hesse 62 48 2 4
|
|
hessler 134 6 3 5
|
|
hessman 107 2 3 1
|
|
hester 644 213 10 12
|
|
heston 327 9 1 3
|
|
heterosexuals 1 0 0 108
|
|
hetherington 126 35 2 4
|
|
hetrick 189 21 0 4
|
|
hettinger 51 61 0 2
|
|
hettrick 165 2 4 2
|
|
heuer 116 24 9 18
|
|
hevesi 467 0 16 5
|
|
hewett 106 20 3 6
|
|
hewitt 13229 448 240 110
|
|
hey 80 13 47 95
|
|
heyburn 133 0 0 3
|
|
heyer 377 12 1 1
|
|
heyman 252 16 6 25
|
|
heymann 200 4 4 9
|
|
heyward 229 15 2 2
|
|
hgh 316 0 10 1
|
|
hhh 197 1 7 7
|
|
hiatt 237 34 7 7
|
|
hibbard 104 43 4 3
|
|
hibbert 102 23 0 1
|
|
hibbs 478 29 5 4
|
|
hick 120 2 3 2
|
|
hickenlooper 725 2 6 3
|
|
hickey 1493 150 17 27
|
|
hickman 635 136 31 16
|
|
hicks 6039 509 66 106
|
|
hickson 46 79 2 0
|
|
hidalgo 944 40 23 7
|
|
hide 499 5 63 30
|
|
hideout 95 0 14 6
|
|
hiding 129 25 78 86
|
|
hierro 135 7 0 2
|
|
higazy 138 0 0 17
|
|
higbee 105 18 3 2
|
|
higdon 66 29 3 3
|
|
higginbotham 178 33 7 3
|
|
higgins 1733 357 54 46
|
|
higginson 661 6 4 2
|
|
higgs 254 61 8 7
|
|
highlight 199 33 159 81
|
|
highness 422 5 0 0
|
|
hight 81 17 3 2
|
|
hightower 343 70 23 17
|
|
higley 93 5 8 0
|
|
hiibel 536 0 0 1
|
|
hijab 0 253 17 4
|
|
hijacker 1767 2 13 2
|
|
hijackers 47 3 13 5127
|
|
hijazi 237 6 1 1
|
|
hiker 479 22 6 10
|
|
hikers 26 4 11 808
|
|
hilal 147 5 50 4
|
|
hilary 23 177 3 7
|
|
hilas 185 0 0 0
|
|
hilbert 311 11 13 6
|
|
hildebrand 218 92 13 8
|
|
hildebrandt 63 36 2 3
|
|
hilder 192 39 0 3
|
|
hildreth 81 34 3 4
|
|
hilferty 550 0 1 8
|
|
hill 15431 2422 463 331
|
|
hillard 261 28 6 6
|
|
hillary 380 749 16 24
|
|
hillenbrand 461 58 168 0
|
|
hillenburg 149 1 1 0
|
|
hiller 304 51 6 8
|
|
hillery 33 66 1 2
|
|
hilliard 491 72 13 6
|
|
hillier 112 24 7 6
|
|
hillis 251 44 2 5
|
|
hillman 376 79 9 7
|
|
hills 305 86 117 230
|
|
hilmer 120 0 8 0
|
|
hilton 477 658 392 42
|
|
himes 100 24 1 3
|
|
himmel 94 58 0 4
|
|
hincapie 367 1 1 3
|
|
hinch 159 4 3 18
|
|
hinchey 178 8 2 1
|
|
hinckley 5893 39 17 34
|
|
hindi 94 12 28 13
|
|
hindley 21 304 2 6
|
|
hindman 134 29 2 2
|
|
hinds 673 44 24 14
|
|
hine 79 83 4 11
|
|
hines 2166 289 53 36
|
|
hingis 2 749 1 0
|
|
hinkel 277 19 0 1
|
|
hinkle 298 68 7 7
|
|
hinkley 83 10 21 7
|
|
hinojosa 279 50 3 13
|
|
hinote 110 0 0 0
|
|
hinrich 960 0 4 21
|
|
hinrichs 63 62 0 3
|
|
hinske 492 0 3 8
|
|
hinson 319 59 2 6
|
|
hinton 528 178 27 16
|
|
hintz 111 29 2 5
|
|
hinzman 618 1 3 0
|
|
hip 468 72 212 47
|
|
hipsters 2 0 1 109
|
|
hird 253 21 2 0
|
|
hirko 196 7 0 7
|
|
hirohito 132 0 0 0
|
|
hirsch 563 72 27 8
|
|
hirschfeld 465 10 1 6
|
|
hirsh 78 66 1 1
|
|
hirst 195 34 5 8
|
|
hirt 45 71 0 2
|
|
hirte 934 0 0 0
|
|
hishammuddin 123 0 7 5
|
|
hislop 193 7 1 0
|
|
hispanic 282 30 17 61
|
|
historian 753 64 31 11
|
|
historians 186 9 123 1302
|
|
hit 6043 295 2394 839
|
|
hitch 87 11 59 17
|
|
hitchcock 2947 132 64 64
|
|
hitchens 112 34 3 9
|
|
hitchhiker 255 14 4 2
|
|
hite 210 51 6 9
|
|
hitler 1807 3 25 34
|
|
hitman 507 6 9 17
|
|
hitmen 73 0 4 200
|
|
hits 44883 430 444 1071
|
|
hitt 161 26 3 7
|
|
hitter 3841 310 55 49
|
|
hitters 408 14 82 2313
|
|
hitting 444 25 268 182
|
|
hittner 1107 8 1 0
|
|
hitzfeld 304 0 2 3
|
|
hitzlsperger 151 0 0 0
|
|
hixon 213 5 0 3
|
|
hixson 843 67 7 3
|
|
hjelle 4 356 0 0
|
|
hlava 269 1 0 0
|
|
hlavac 112 4 1 1
|
|
hlinka 149 2 0 0
|
|
hmiel 440 2 1 0
|
|
hmimssa 613 0 6 22
|
|
hnatyshyn 116 2 0 0
|
|
hnida 16 1902 0 3
|
|
hnilicka 112 0 0 0
|
|
ho 833 221 27 32
|
|
hoag 139 33 2 3
|
|
hoagland 97 16 5 3
|
|
hoang 87 20 1 2
|
|
hoare 198 13 2 0
|
|
hoax 96 3 69 16
|
|
hobart 88 28 87 11
|
|
hobbs 934 228 33 23
|
|
hobgood 112 4 5 5
|
|
hobley 436 1 0 0
|
|
hobson 605 95 4 10
|
|
hoch 1661 34 4 56
|
|
hochberg 111 9 3 2
|
|
hocker 206 25 0 0
|
|
hockfield 0 114 1 0
|
|
hoddle 795 0 9 14
|
|
hodel 239 4 1 0
|
|
hodge 1999 313 28 28
|
|
hodges 1866 268 17 57
|
|
hodgson 1109 61 35 20
|
|
hodson 221 50 3 10
|
|
hoeffel 640 2 2 7
|
|
hoeft 102 9 6 1
|
|
hoekstra 292 7 9 6
|
|
hoeppner 353 0 3 2
|
|
hoeveler 164 0 2 3
|
|
hoeven 480 13 3 4
|
|
hoey 203 30 7 0
|
|
hofer 49 47 2 5
|
|
hoff 327 127 26 12
|
|
hoffa 926 2 1 3
|
|
hoffman 2610 1559 110 128
|
|
hoffmann 401 121 5 5
|
|
hofmann 121 28 7 0
|
|
hogan 2334 307 86 45
|
|
hogarth 80 18 2 2
|
|
hoge 127 11 2 4
|
|
hogg 724 211 5 32
|
|
hoggard 420 13 10 9
|
|
hogue 248 76 1 7
|
|
hohmann 267 2 2 9
|
|
hohns 209 0 8 6
|
|
hoiberg 191 0 0 2
|
|
hoisington 105 12 3 2
|
|
hoke 227 7 16 4
|
|
holbert 84 14 3 1
|
|
holbrook 418 124 38 23
|
|
holcomb 2670 196 22 29
|
|
holcombe 110 14 2 7
|
|
holden 2797 273 217 56
|
|
holder 1996 289 216 213
|
|
holderman 187 7 0 2
|
|
holdout 1136 9 58 9
|
|
holdover 138 4 14 1
|
|
holdovers 4 2 0 96
|
|
holdsclaw 0 307 15 2
|
|
holes 923 123 402 640
|
|
holik 273 14 2 0
|
|
holiness 174 1 7 3
|
|
holkeri 158 0 0 0
|
|
holladay 113 14 9 10
|
|
holland 3397 380 247 415
|
|
hollander 131 21 9 5
|
|
hollandsworth 530 4 2 0
|
|
holler 99 9 4 2
|
|
holley 309 104 13 9
|
|
holliday 917 94 25 10
|
|
holliman 102 17 4 4
|
|
hollings 1130 8 10 15
|
|
hollingsworth 329 85 11 6
|
|
hollingworth 1422 26 11 4
|
|
hollins 270 13 7 4
|
|
hollinsaid 23 237 0 0
|
|
hollis 681 110 15 17
|
|
hollister 153 48 53 12
|
|
holloway 1128 303 22 38
|
|
hollowell 458 90 1 6
|
|
holly 278 583 133 64
|
|
holm 380 81 12 5
|
|
holman 810 131 10 16
|
|
holmberg 104 16 2 1
|
|
holmen 4 51 42 3
|
|
holmes 6682 1237 97 101
|
|
holmgren 2378 17 59 17
|
|
holmstrom 224 8 2 2
|
|
holness 131 5 0 0
|
|
holstein 127 15 103 4
|
|
holt 2363 361 67 68
|
|
holthouse 219 4 0 0
|
|
holton 455 69 21 15
|
|
holtz 5723 42 16 20
|
|
holtzman 176 52 1 4
|
|
holyfield 2865 2 6 17
|
|
holyoak 207 0 0 7
|
|
homage 104 25 58 42
|
|
homan 261 43 5 7
|
|
homeless 154 45 47 2133
|
|
homemaker 8 1160 1 23
|
|
homeowner 1721 394 87 383
|
|
homer 22466 108 404 284
|
|
homers 9725 10 49 146
|
|
homestand 81 0 55 69
|
|
homicide 316 27 135 70
|
|
hommel 8 177 0 0
|
|
homolka 11 177 2 0
|
|
homosexual 275 0 14 8
|
|
hon 102 7 64 5
|
|
honasan 391 2 1 6
|
|
honchos 5 0 3 108
|
|
honea 115 15 0 1
|
|
honeycutt 385 33 2 8
|
|
hong 336 112 16 8
|
|
honken 140 0 0 2
|
|
honoree 146 22 4 13
|
|
honorees 3 1 2 553
|
|
honors 137 103 71 79
|
|
honours 71 14 22 29
|
|
hood 1429 708 153 44
|
|
hoodlums 2 1 0 100
|
|
hoogenband 481 1 2 4
|
|
hook 377 38 295 103
|
|
hooker 665 115 28 28
|
|
hookes 535 33 1 8
|
|
hooks 884 68 32 93
|
|
hooley 18 82 2 4
|
|
hoon 2143 7 44 50
|
|
hoop 51 2 49 41
|
|
hooper 1867 211 19 50
|
|
hoops 62 9 52 432
|
|
hoosiers 44 3 32 2643
|
|
hootie 142 0 9 1
|
|
hoots 116 2 1 5
|
|
hoover 1197 227 221 56
|
|
hope 3651 565 3452 1620
|
|
hopefuls 14 5 7 2269
|
|
hopkins 6658 645 305 87
|
|
hopley 149 0 2 0
|
|
hopp 93 8 0 1
|
|
hoppe 131 64 6 7
|
|
hopper 911 151 56 20
|
|
hops 5 1 4 142
|
|
hopson 250 37 1 3
|
|
horace 97 41 1 1
|
|
horan 2241 76 16 24
|
|
hordes 8 2 2 596
|
|
hore 85 14 1 2
|
|
horgan 193 14 2 3
|
|
horn 4131 281 184 65
|
|
horna 122 2 0 0
|
|
hornaday 302 8 0 3
|
|
hornbuckle 11 129 1 0
|
|
hornby 70 4 57 2
|
|
horne 1224 227 64 35
|
|
horner 612 63 5 15
|
|
hornets 141 4 107 7982
|
|
hornish 1473 0 7 2
|
|
hornoff 326 7 1 2
|
|
hornsby 447 31 5 10
|
|
hornstine 18 163 0 4
|
|
hornung 585 8 4 1
|
|
hornyak 258 5 0 0
|
|
horowitz 627 55 9 17
|
|
horry 657 0 8 10
|
|
horse 10092 429 1756 214
|
|
horseman 197 11 15 8
|
|
horsemen 12 1 7 466
|
|
horses 245 90 185 5874
|
|
horsfield 98 2 0 0
|
|
horsley 156 21 8 11
|
|
horst 102 17 5 9
|
|
horton 2346 366 196 71
|
|
horvath 164 100 4 7
|
|
horwitz 138 11 3 3
|
|
hosein 98 5 0 0
|
|
hosie 152 2 2 3
|
|
hoskins 358 78 11 9
|
|
hossa 1388 0 2 1
|
|
hossain 383 2 2 5
|
|
hossein 330 0 0 0
|
|
host 1886 691 832 1074
|
|
hostage 3709 671 473 1338
|
|
hostess 7 218 7 17
|
|
hostetler 99 16 0 2
|
|
hostettler 331 3 3 2
|
|
hosting 108 0 15 3
|
|
hotchkiss 92 25 6 7
|
|
hothead 207 0 0 0
|
|
hottinger 104 19 0 1
|
|
houck 280 32 3 7
|
|
houdini 243 4 5 2
|
|
hougaard 155 1 3 1
|
|
hough 316 74 1 15
|
|
houghton 505 101 20 24
|
|
houle 160 36 2 5
|
|
houlihan 112 46 2 3
|
|
houllier 1943 0 13 72
|
|
hoult 134 6 0 1
|
|
hounam 231 5 0 1
|
|
hours 6502 1380 6387 4519
|
|
householder 383 21 4 32
|
|
housekeeper 25 459 4 20
|
|
housel 199 0 2 0
|
|
housemate 73 36 0 25
|
|
housemates 10 9 4 477
|
|
houser 265 50 6 9
|
|
housewife 9 1719 7 11
|
|
housley 123 13 1 1
|
|
houstonians 2 0 1 120
|
|
hovan 434 5 1 7
|
|
hovland 129 2 1 2
|
|
howard 27804 1399 640 422
|
|
howarth 154 19 3 0
|
|
howe 3312 296 46 65
|
|
howell 4854 450 89 47
|
|
howells 237 34 25 21
|
|
howes 251 27 7 14
|
|
howey 101 22 4 2
|
|
howie 109 18 3 3
|
|
howitt 54 48 0 1
|
|
howland 1228 40 50 20
|
|
howlett 266 44 5 8
|
|
howley 162 11 3 3
|
|
hoy 466 74 86 13
|
|
hoya 359 0 14 3
|
|
hoyas 16 0 10 1125
|
|
hoyer 360 14 3 4
|
|
hoyle 127 51 3 7
|
|
hoyt 655 68 10 8
|
|
hrbaty 449 0 1 1
|
|
hrdina 183 0 1 1
|
|
hsieh 271 49 3 5
|
|
hsu 380 47 69 14
|
|
hu 4194 91 48 51
|
|
huang 946 148 23 28
|
|
huard 167 8 5 0
|
|
hubbard 2722 200 50 37
|
|
hubbell 66 29 10 4
|
|
hubbert 188 6 5 5
|
|
hubby 97 8 2 8
|
|
huber 465 256 30 16
|
|
hubert 223 57 6 6
|
|
huckabee 1638 23 22 21
|
|
huckaby 297 10 4 2
|
|
huckerby 245 0 3 9
|
|
hudachek 101 44 0 0
|
|
hudak 521 36 8 4
|
|
huddersfield 21 1 15 362
|
|
huddleston 158 73 9 13
|
|
hudgins 307 48 2 4
|
|
hudler 165 0 0 0
|
|
hudock 107 20 3 4
|
|
hudson 7033 821 281 119
|
|
huebner 89 25 4 4
|
|
huerta 90 83 3 14
|
|
huet 365 1 0 0
|
|
huey 174 28 17 8
|
|
huff 1693 310 28 21
|
|
huffington 61 2204 33 6
|
|
huffman 1117 163 25 21
|
|
hug 101 40 32 11
|
|
hugging 110 0 4 1
|
|
huggins 2987 79 68 29
|
|
hugh 283 7 14 5
|
|
hughes 8001 1765 635 233
|
|
hughey 136 12 3 2
|
|
hugo 244 4 19 11
|
|
hui 62 16 16 38
|
|
huisman 108 1 1 0
|
|
huizenga 1307 4 18 4
|
|
hulbert 160 21 8 4
|
|
hulett 177 20 6 5
|
|
hull 3125 260 171 547
|
|
hulls 77 0 7 31
|
|
hulse 153 17 3 2
|
|
hulsey 84 42 2 3
|
|
human 577 15 72 39
|
|
hume 308 37 24 8
|
|
humes 85 25 2 6
|
|
humiston 106 3 0 0
|
|
hummel 288 67 12 12
|
|
humorist 181 2 2 0
|
|
humphrey 1179 446 50 26
|
|
humphreys 765 67 13 15
|
|
humphries 951 137 11 8
|
|
hundley 287 21 4 9
|
|
hundred 195 29 107 1183
|
|
hung 1352 25 12 11
|
|
hungarian 99 9 5 6
|
|
hunk 162 4 37 4
|
|
hunkin 259 0 8 3
|
|
hunsicker 362 12 2 3
|
|
hunt 7041 693 500 191
|
|
hunter 11574 973 193 283
|
|
hunters 172 24 147 7191
|
|
huntley 2703 133 51 68
|
|
huntsman 545 14 28 3
|
|
hupp 55 55 1 4
|
|
huppert 209 10 0 0
|
|
hurd 324 88 11 13
|
|
hurdle 1341 26 207 67
|
|
hurdler 83 66 3 0
|
|
hurlbert 2149 135 2 7
|
|
hurlbut 83 18 0 2
|
|
hurler 792 77 3 2
|
|
hurlers 2 0 0 135
|
|
hurley 947 261 100 51
|
|
hurme 147 0 1 0
|
|
hurney 105 0 2 5
|
|
hurst 607 174 18 21
|
|
hurt 1042 125 312 306
|
|
hurtado 81 21 3 5
|
|
hurtgen 122 0 1 0
|
|
hurtt 149 3 2 2
|
|
hurwitz 382 11 6 7
|
|
husain 127 38 3 2
|
|
husband 54738 5072 499 3220
|
|
husbands 70 16 12 2116
|
|
huselius 195 0 0 0
|
|
hushovd 152 0 0 0
|
|
hussain 3817 19 63 82
|
|
hussam 113 0 1 4
|
|
hussein 8770 75 91 104
|
|
hussey 353 54 5 3
|
|
husted 157 8 2 5
|
|
hustler 245 4 12 4
|
|
huston 786 134 8 9
|
|
hutcherson 225 18 2 3
|
|
hutcheson 117 47 16 11
|
|
hutchings 256 50 4 11
|
|
hutchins 499 95 10 5
|
|
hutchinson 2308 290 151 60
|
|
huth 133 47 4 3
|
|
huts 3 3 2 306
|
|
hutson 205 66 5 8
|
|
huttanus 0 139 0 0
|
|
hutto 85 14 11 2
|
|
hutton 3895 166 33 26
|
|
huxley 113 12 3 0
|
|
huynh 103 49 1 4
|
|
hwang 454 33 2 4
|
|
hyatt 184 99 112 12
|
|
hybl 221 0 0 0
|
|
hyde 1014 133 62 50
|
|
hyder 111 17 12 2
|
|
hyland 125 39 5 5
|
|
hylton 74 39 24 3
|
|
hyman 925 63 11 8
|
|
hynes 509 67 10 18
|
|
hypponen 87 0 25 0
|
|
hyzdu 125 0 0 0
|
|
iacocca 180 0 0 0
|
|
iaconelli 99 0 6 0
|
|
iahn 108 0 0 0
|
|
iain 220 4 1 5
|
|
ian 1628 47 17 37
|
|
ibanez 399 8 8 3
|
|
ibarra 281 41 2 6
|
|
ibf 191 1 61 42
|
|
ibori 103 4 3 2
|
|
ibrahim 2395 90 18 30
|
|
ibrahimovic 147 0 0 0
|
|
icahn 760 0 18 1
|
|
iceman 190 3 2 0
|
|
ichabods 2 0 1 111
|
|
ichiro 744 0 11 3
|
|
ickes 126 6 0 0
|
|
icon 638 195 632 32
|
|
idema 3324 5 6 14
|
|
ideologues 18 0 8 175
|
|
idiot 592 13 27 17
|
|
idol 234 100 136 33
|
|
idris 199 9 5 10
|
|
iem 262 0 4 0
|
|
ieyoub 302 0 3 7
|
|
igbo 7 0 5 99
|
|
iger 490 2 5 1
|
|
iginla 2154 0 15 10
|
|
iglesias 314 14 0 3
|
|
ignacio 136 3 25 7
|
|
igor 217 1 3 5
|
|
igp 97 0 7 8
|
|
iguodala 311 0 3 0
|
|
ijaws 2 0 0 226
|
|
ike 229 5 22 1
|
|
ikeda 56 71 2 3
|
|
ilan 207 2 0 0
|
|
iles 76 25 3 1
|
|
ilgauskas 716 0 2 0
|
|
ilham 141 3 0 1
|
|
iliescu 229 3 2 28
|
|
ilitch 124 2 0 3
|
|
ill 111 55 71 152
|
|
illarionov 111 0 1 0
|
|
illes 189 14 0 1
|
|
illinoisans 1 0 0 188
|
|
illnesses 33 14 25 1381
|
|
illston 0 202 0 0
|
|
illusionist 199 6 0 1
|
|
illustrator 90 15 5 0
|
|
ilwan 105 0 0 0
|
|
imam 1200 6 12 21
|
|
iman 24 84 0 1
|
|
imelda 1 114 6 3
|
|
imiela 155 10 0 0
|
|
immelman 381 0 0 2
|
|
immelt 359 0 5 0
|
|
immigrant 4041 204 37 50
|
|
imoh 191 1 0 2
|
|
impeachment 168 36 117 7
|
|
impersonator 142 4 3 1
|
|
import 384 19 149 34
|
|
impostors 5 0 2 138
|
|
impresario 250 3 2 0
|
|
imprisonment 126 24 42 73
|
|
imran 347 4 1 6
|
|
imre 4 280 1 1
|
|
imron 557 0 47 10
|
|
imus 93 6 1 2
|
|
ina 39 53 17 3
|
|
inamoto 115 0 0 0
|
|
ince 232 9 1 7
|
|
incitement 147 0 5 1
|
|
incompetent 46 24 12 32
|
|
incompletions 154 0 1 7
|
|
inconsistencies 87 147 14 33
|
|
incredible 126 6 3 0
|
|
incumbent 3641 259 99 68
|
|
incursions 59 0 21 28
|
|
indian 442 78 169 108
|
|
indians 479 26 348 17723
|
|
indictment 2271 574 475 481
|
|
indira 4 151 0 3
|
|
individual 7519 366 297 1632
|
|
indonesian 188 16 7 8
|
|
indonesians 11 3 5 953
|
|
inductee 134 7 1 6
|
|
indurain 273 0 0 4
|
|
industrialist 262 0 3 4
|
|
industrialists 4 0 2 247
|
|
infant 586 610 200 62
|
|
infante 406 14 1 5
|
|
infantryman 290 0 3 6
|
|
infantrymen 4 0 2 422
|
|
infidel 651 0 1 1
|
|
infielder 870 13 2 3
|
|
inflammation 788 13 49 3
|
|
influences 39 7 36 336
|
|
informant 5340 137 15 78
|
|
informants 85 4 18 1065
|
|
informer 375 8 7 14
|
|
informers 5 0 0 131
|
|
infractions 9 1 8 244
|
|
ingall 122 1 1 0
|
|
inge 519 19 6 2
|
|
ingersoll 58 25 43 6
|
|
ingham 212 23 28 4
|
|
ingle 150 24 3 7
|
|
inglis 222 12 11 3
|
|
ingraham 105 30 12 3
|
|
ingram 1660 251 116 46
|
|
ingrid 1 89 0 10
|
|
ingush 5 0 0 209
|
|
ingvall 100 0 4 3
|
|
inhofe 347 0 9 5
|
|
initial 54 5 36 18
|
|
injections 36 20 22 108
|
|
injured 35 3 4 1876
|
|
injuries 6740 1675 616 2835
|
|
injury 49125 1975 1754 356
|
|
inkster 11 1506 7 7
|
|
inman 418 83 16 8
|
|
inmate 8830 456 85 149
|
|
inmates 242 38 144 17948
|
|
innes 155 24 2 11
|
|
inning 6234 106 702 415
|
|
innings 11403 106 832 751
|
|
innkeeper 131 2 3 3
|
|
innocence 211 27 95 31
|
|
innocent 604 31 51 142
|
|
innocents 2 0 1 341
|
|
inoue 118 81 1 1
|
|
inouye 618 26 5 0
|
|
inquest 120 46 54 26
|
|
inquiries 120 37 99 225
|
|
insider 278 47 67 110
|
|
insiders 646 137 285 3319
|
|
insisting 45 3 32 27
|
|
inspector 5983 144 172 318
|
|
installer 76 3 21 3
|
|
instances 146 5 117 271
|
|
instincts 81 26 45 88
|
|
instructions 209 64 208 537
|
|
instructor 1828 350 28 130
|
|
instructors 42 20 28 2781
|
|
instrumental 186 27 129 74
|
|
insubordination 222 0 11 4
|
|
insults 438 4 8 19
|
|
insurgent 568 2 0 16
|
|
int 116 0 36 0
|
|
intellectual 295 11 12 9
|
|
intellectuals 11 2 9 775
|
|
interceptions 272 0 72 113
|
|
intercom 123 1 7 3
|
|
interim 96 8 24 12
|
|
intermediaries 15 1 5 287
|
|
intern 127 177 16 17
|
|
internationals 45 3 31 409
|
|
internist 140 5 4 1
|
|
interpreter 1615 95 50 30
|
|
interrogation 171 6 68 106
|
|
interrogations 8 2 6 1561
|
|
interrogator 261 172 2 11
|
|
interrogators 131 22 7 2235
|
|
interval 157 1 37 27
|
|
interview 51222 767 1036 223
|
|
interviewees 4 0 2 232
|
|
interviewer 1233 98 14 19
|
|
interviewers 47 7 2 268
|
|
interviews 590 129 161 1031
|
|
intimidator 369 6 0 2
|
|
intruder 1531 110 25 19
|
|
intruders 48 14 11 480
|
|
inventions 6 0 5 267
|
|
inventor 712 18 37 13
|
|
investigator 6350 355 71 205
|
|
investigators 5291 2104 963 60275
|
|
investor 1568 65 931 483
|
|
invitations 37 13 34 508
|
|
invitee 152 0 0 0
|
|
invoices 13 1 5 127
|
|
involvement 1315 107 934 264
|
|
inzaghi 154 0 0 4
|
|
inzamam 1053 0 5 14
|
|
inzunza 114 0 2 1
|
|
ioannou 15 209 0 0
|
|
iorio 38 192 3 2
|
|
iowans 13 2 8 718
|
|
iqbal 755 11 9 25
|
|
irani 82 44 2 2
|
|
iranian 437 21 4 19
|
|
iranians 46 2 45 4660
|
|
iraqi 5622 44 244 492
|
|
iraqis 856 16 467 89783
|
|
irbe 434 0 1 2
|
|
irby 219 20 4 14
|
|
ire 49 20 37 28
|
|
irene 18 347 11 17
|
|
irfan 159 1 2 6
|
|
irina 0 137 0 0
|
|
iris 12 139 42 17
|
|
irishman 1606 3 7 19
|
|
irishmen 3 0 2 173
|
|
irizarry 144 44 2 1
|
|
irma 5 107 6 8
|
|
ironman 69 75 27 18
|
|
irons 740 58 25 61
|
|
irritation 75 1 51 17
|
|
irsay 367 2 1 51
|
|
irsheid 591 0 0 0
|
|
iruan 215 1 0 0
|
|
irureta 108 0 0 3
|
|
irvin 1609 132 32 26
|
|
irvine 1119 58 69 79
|
|
irving 344 68 123 25
|
|
irwin 4627 248 48 35
|
|
isaac 597 177 15 25
|
|
isaacs 642 160 30 9
|
|
isaacson 267 31 3 3
|
|
isabella 20 113 14 8
|
|
isabelle 15 117 3 3
|
|
isaiah 149 4 3 3
|
|
isakson 509 2 4 3
|
|
isbell 91 21 4 3
|
|
isbister 156 0 0 0
|
|
isdell 596 0 2 2
|
|
isha 2 102 1 0
|
|
ishiba 112 0 4 2
|
|
ishihara 228 1 3 1
|
|
ishii 1101 12 3 3
|
|
isiah 191 0 3 4
|
|
isinbayeva 0 407 6 0
|
|
islander 30 70 2 4
|
|
islanders 63 0 62 5326
|
|
isles 15 2 13 220
|
|
ismail 1131 21 22 40
|
|
isom 150 37 2 3
|
|
israeli 317 28 299 105
|
|
israelis 197 8 153 14619
|
|
israelites 2 0 1 155
|
|
isringhausen 875 0 0 0
|
|
issa 2509 10 14 57
|
|
istook 202 1 7 2
|
|
italian 3182 131 53 29
|
|
ito 477 27 14 2
|
|
iv 179 4 28 4
|
|
ivanisevic 1624 0 1 1
|
|
ivanov 1155 3 20 54
|
|
iversen 98 8 0 2
|
|
iverson 12459 110 40 93
|
|
ives 197 54 3 6
|
|
ivey 596 128 11 17
|
|
ivory 189 90 37 9
|
|
iwan 104 2 1 1
|
|
iwanowska 0 251 0 0
|
|
iwata 138 6 20 6
|
|
iyad 286 0 0 0
|
|
izturis 409 0 1 2
|
|
izzat 221 0 0 0
|
|
izzet 123 0 1 5
|
|
izzo 822 15 4 17
|
|
j 445 58 122 29
|
|
ja 308 0 28 8
|
|
jaafar 117 0 2 10
|
|
jaatteenmaki 0 148 1 0
|
|
jabali 635 0 1 0
|
|
jabar 113 21 2 1
|
|
jabari 249 0 0 1
|
|
jaber 84 16 2 6
|
|
jack 5165 158 377 120
|
|
jackals 3 0 2 155
|
|
jackett 123 3 1 5
|
|
jackhammers 14 0 0 110
|
|
jackie 230 987 12 47
|
|
jackman 690 78 15 11
|
|
jacko 127 4 1 1
|
|
jacks 55 31 17 484
|
|
jackson 74354 4378 842 704
|
|
jacksons 5 1 3 414
|
|
jacob 1644 155 29 37
|
|
jacobs 3402 1083 203 115
|
|
jacobsen 2486 113 26 17
|
|
jacobson 1863 209 25 101
|
|
jacobus 75 17 5 5
|
|
jacoby 251 57 1 7
|
|
jacque 84 23 0 2
|
|
jacquelin 128 7 0 0
|
|
jacqueline 6 176 2 9
|
|
jacques 481 325 20 11
|
|
jacquet 319 0 2 0
|
|
jada 9 140 5 0
|
|
jadakiss 111 0 0 2
|
|
jade 24 238 39 10
|
|
jadeja 241 0 5 2
|
|
jaeger 266 57 23 4
|
|
jaffar 156 0 0 0
|
|
jaffe 381 31 3 1
|
|
jaffray 107 0 0 0
|
|
jagels 113 16 0 0
|
|
jagger 652 59 4 10
|
|
jaggers 334 5 4 1
|
|
jagmohan 90 1 9 0
|
|
jagr 2416 0 2 6
|
|
jags 20 1 15 764
|
|
jaguars 112 2 56 4593
|
|
jahani 136 0 0 1
|
|
jahn 70 30 7 2
|
|
jahnke 102 21 1 2
|
|
jail 1659 273 1078 561
|
|
jailer 347 43 22 20
|
|
jailers 102 5 3 189
|
|
jails 33 1 11 696
|
|
jaime 142 71 2 3
|
|
jain 728 94 33 20
|
|
jaitley 228 7 43 28
|
|
jake 1499 21 38 22
|
|
jakes 277 4 2 7
|
|
jakobek 116 1 1 1
|
|
jalali 149 1 5 5
|
|
jalbert 151 13 2 0
|
|
jalil 279 0 0 21
|
|
jam 279 5 117 48
|
|
jamaican 156 14 4 7
|
|
jamal 1153 7 6 28
|
|
jamali 2783 1 62 39
|
|
jambos 3 0 2 131
|
|
jamelske 718 4 37 24
|
|
james 33179 1599 180 256
|
|
jameson 199 122 27 7
|
|
jami 11 146 0 0
|
|
jamie 1149 358 16 40
|
|
jamieson 236 182 25 13
|
|
jamil 121 2 3 7
|
|
jamison 1215 102 16 22
|
|
jams 59 4 11 30
|
|
jan 509 122 44 19
|
|
jana 10 133 11 9
|
|
jane 165 1578 23 92
|
|
janelle 4 142 0 5
|
|
janes 117 36 6 9
|
|
janet 33 842 8 47
|
|
janette 8 89 0 8
|
|
janeway 77 32 2 0
|
|
janey 92 25 2 4
|
|
janica 0 141 0 0
|
|
janice 17 448 4 28
|
|
janikowski 377 3 1 0
|
|
janine 2 96 3 5
|
|
janis 81 70 2 3
|
|
janiszewski 132 6 0 1
|
|
janitor 524 23 3 12
|
|
janklow 8123 13 14 12
|
|
jankovic 18 262 0 1
|
|
jankowski 121 10 1 4
|
|
jansen 608 83 18 16
|
|
janssen 169 56 14 3
|
|
janszen 149 0 0 0
|
|
janzen 560 17 2 4
|
|
japanese 181 29 120 4860
|
|
jaramillo 460 68 5 9
|
|
jardine 206 12 15 7
|
|
jarecki 146 3 4 2
|
|
jared 401 5 6 11
|
|
jarman 92 25 2 3
|
|
jarmyn 8 144 0 0
|
|
jarno 902 0 0 24
|
|
jarrah 314 5 5 0
|
|
jarrell 130 64 3 5
|
|
jarrett 1918 71 15 20
|
|
jarvis 1336 141 533 40
|
|
jaschan 316 0 0 1
|
|
jasmer 99 5 0 3
|
|
jasmine 6 269 16 7
|
|
jason 4098 97 74 94
|
|
jasper 454 38 82 13
|
|
jaspers 24 0 2 323
|
|
jassem 170 4 3 1
|
|
jaunt 238 3 14 3
|
|
jauregui 158 6 1 1
|
|
jauron 817 0 10 18
|
|
javed 226 5 2 55
|
|
javier 160 19 5 7
|
|
jaw 1639 18 40 5
|
|
jawad 268 11 0 0
|
|
jawan 164 0 1 6
|
|
jawans 5 0 3 180
|
|
jaworski 137 12 2 2
|
|
jay 2091 70 50 48
|
|
jayalalitha 3 97 4 7
|
|
jayalalithaa 29 712 16 22
|
|
jayasuriya 1046 0 5 13
|
|
jayawardene 338 0 3 2
|
|
jayne 75 109 0 15
|
|
jaynes 662 30 4 7
|
|
jays 48 1 36 942
|
|
jayson 129 2 0 0
|
|
jbl 144 0 22 7
|
|
jc 87 7 21 9
|
|
jean 535 535 29 65
|
|
jeanette 17 130 2 7
|
|
jeanson 17 93 0 0
|
|
jeb 258 2 4 9
|
|
jed 286 2 8 11
|
|
jeeps 0 1 0 508
|
|
jeff 4304 44 84 114
|
|
jeffcoat 97 28 0 1
|
|
jefferies 250 28 74 11
|
|
jeffers 495 112 5 6
|
|
jefferson 3820 163 375 127
|
|
jeffery 300 28 5 10
|
|
jeffords 376 4 1 6
|
|
jeffress 125 3 0 1
|
|
jeffrey 676 113 17 13
|
|
jeffreys 134 12 1 4
|
|
jeffries 575 144 14 13
|
|
jeffs 92 16 2 91
|
|
jelena 1 122 0 0
|
|
jelinek 56 512 6 3
|
|
jemima 1 123 2 6
|
|
jemison 61 1163 6 7
|
|
jen 37 283 18 12
|
|
jenas 110 0 0 3
|
|
jenkins 18593 1027 106 276
|
|
jenkinson 91 35 0 1
|
|
jenks 140 29 21 2
|
|
jenna 13 1167 12 60
|
|
jenne 134 6 4 5
|
|
jenner 148 17 5 3
|
|
jenness 105 12 0 1
|
|
jennette 11 577 1 0
|
|
jenni 4 107 4 3
|
|
jennie 5 194 1 4
|
|
jennifer 54 2138 53 63
|
|
jennings 5011 667 83 92
|
|
jenny 19 752 13 38
|
|
jenoff 413 0 1 7
|
|
jensen 2614 529 44 75
|
|
jensens 12 1 0 290
|
|
jenson 325 20 3 2
|
|
jeong 298 11 5 1
|
|
jepsen 192 11 4 3
|
|
jepson 96 76 2 2
|
|
jeremiah 159 9 6 6
|
|
jeremy 1559 18 14 85
|
|
jericho 501 6 19 19
|
|
jerk 162 1 7 9
|
|
jerkens 166 9 0 0
|
|
jermain 111 0 1 2
|
|
jermaine 240 0 1 1
|
|
jernigan 224 65 2 2
|
|
jerome 456 46 29 5
|
|
jerri 1 187 1 3
|
|
jerry 2604 44 25 49
|
|
jesica 4 2924 0 0
|
|
jesper 114 0 0 0
|
|
jess 74 241 4 6
|
|
jesse 1060 64 14 32
|
|
jessi 9 340 2 3
|
|
jessica 322 3603 34 78
|
|
jessie 91 250 1 11
|
|
jessup 89 13 2 3
|
|
jester 182 39 5 10
|
|
jesus 5663 49 131 143
|
|
jeter 8702 59 169 23
|
|
jethmalani 223 1 6 7
|
|
jets 350 7 249 11831
|
|
jetskins 45 0 0 62
|
|
jett 296 77 6 19
|
|
jeunet 96 2 0 2
|
|
jevarian 159 0 0 0
|
|
jew 1336 9 11 17
|
|
jewel 52 395 120 16
|
|
jeweler 217 17 66 7
|
|
jewell 438 75 36 19
|
|
jeweller 103 5 22 3
|
|
jewett 184 16 3 6
|
|
jfk 256 5 33 6
|
|
jha 185 5 9 7
|
|
jia 179 24 7 8
|
|
jiang 4548 94 19 16
|
|
jihadis 2 0 1 161
|
|
jihai 111 0 1 2
|
|
jihani 101 0 17 0
|
|
jill 22 618 16 22
|
|
jillson 55 263 1 2
|
|
jim 4804 79 67 169
|
|
jimenez 2884 187 14 34
|
|
jimeno 170 3 0 0
|
|
jimi 158 1 2 0
|
|
jimmie 143 1 2 4
|
|
jimmy 1886 19 24 56
|
|
jin 222 38 2 12
|
|
jindal 1272 5 22 23
|
|
jirov 280 0 4 1
|
|
jj 314 14 21 6
|
|
jnr 118 1 1 3
|
|
jo 42 241 6 34
|
|
joachim 127 7 3 3
|
|
joan 56 710 35 34
|
|
joanie 0 118 1 2
|
|
joann 1 103 4 8
|
|
joanna 5 278 3 10
|
|
joanne 19 328 2 20
|
|
joaquin 197 38 1 3
|
|
jobe 234 59 5 5
|
|
jobless 2 0 0 119
|
|
jock 501 5 20 9
|
|
jocketty 255 2 1 0
|
|
jockey 3330 70 25 41
|
|
jockeys 28 3 24 2305
|
|
jocks 4 3 3 121
|
|
jodi 9 506 6 10
|
|
jodie 1 160 1 2
|
|
jody 111 90 11 22
|
|
joe 5589 71 103 134
|
|
joel 1713 21 16 25
|
|
joey 1758 57 55 42
|
|
jogger 67 505 4 5
|
|
jogging 59 27 8 10
|
|
jogi 441 4 0 2
|
|
johan 172 2 2 4
|
|
johanns 692 2 12 5
|
|
johansen 1033 74 21 6
|
|
johanson 309 41 7 1
|
|
johansson 1976 96 14 5
|
|
john 14084 210 182 346
|
|
johnnie 92 10 1 2
|
|
johnnies 15 0 1 168
|
|
johnny 1364 11 43 26
|
|
johns 1078 262 31 80
|
|
johnsen 145 304 7 3
|
|
johnson 84528 8605 1120 1190
|
|
johnsons 8 3 1 319
|
|
johnsson 359 3 0 1
|
|
johnston 3333 639 164 92
|
|
johnstone 399 44 13 7
|
|
joice 123 3 1 0
|
|
joiner 212 37 3 15
|
|
joker 143 1 28 2
|
|
jokes 77 6 65 1139
|
|
jokinen 411 5 1 3
|
|
jol 224 0 5 1
|
|
jolie 2 825 3 7
|
|
jolley 213 37 5 10
|
|
jolly 221 74 15 7
|
|
jon 1456 16 21 49
|
|
jonah 353 3 3 5
|
|
jonas 249 38 5 6
|
|
jonathan 1570 18 23 28
|
|
jonbenet 0 129 0 37
|
|
jones 56915 12342 1368 995
|
|
jonny 433 3 11 6
|
|
jonsson 80 51 2 5
|
|
joplin 89 29 36 10
|
|
joppy 171 1 1 0
|
|
jordaan 234 2 7 14
|
|
jordan 27880 1596 1964 526
|
|
jordanian 190 54 51 2
|
|
jordanians 7 0 3 1070
|
|
jordanov 497 0 0 0
|
|
jordi 491 4 0 0
|
|
jorge 268 6 5 4
|
|
jorgensen 221 78 2 13
|
|
jorgenson 107 27 3 10
|
|
jose 1025 23 12 27
|
|
josemi 102 0 1 2
|
|
joseph 5730 387 86 105
|
|
josephine 7 140 2 4
|
|
josephs 74 16 2 15
|
|
josephson 121 47 4 8
|
|
josh 2305 22 49 49
|
|
joshi 795 54 30 19
|
|
joshua 1245 32 31 19
|
|
josiah 123 8 0 1
|
|
josie 11 213 2 10
|
|
joslin 69 41 8 3
|
|
jost 138 22 5 1
|
|
joubert 500 28 8 26
|
|
jourdain 937 0 2 6
|
|
journalist 8115 710 104 134
|
|
journalists 520 45 201 20305
|
|
journeyman 902 0 4 0
|
|
jovanovic 196 8 2 4
|
|
jovanovski 356 0 3 0
|
|
jowell 1 288 17 5
|
|
joy 554 472 355 187
|
|
joya 7 232 0 0
|
|
joyce 1752 744 45 57
|
|
joyner 381 95 4 10
|
|
jp 270 8 38 8
|
|
jr 255 9 15 11
|
|
juan 1107 10 12 8
|
|
juanes 299 0 1 0
|
|
juanita 5 110 2 8
|
|
juarez 292 91 9 9
|
|
jubarah 204 0 0 0
|
|
jubilee 195 2 47 3
|
|
judah 388 7 2 2
|
|
judas 167 1 10 0
|
|
judd 844 318 20 25
|
|
jude 148 21 9 5
|
|
judeo 183 0 2 2
|
|
judge 157083 16613 2885 4479
|
|
judges 689 214 626 21261
|
|
judith 4 158 6 12
|
|
judkins 127 27 5 2
|
|
judson 204 33 35 3
|
|
judy 99 1033 15 61
|
|
jules 205 43 3 3
|
|
julia 98 800 8 18
|
|
julian 870 76 52 16
|
|
juliana 1 466 1 2
|
|
juliano 132 12 3 4
|
|
julie 76 1280 20 51
|
|
julien 357 26 10 3
|
|
juliet 4 126 5 2
|
|
julio 418 3 3 2
|
|
julius 429 13 6 3
|
|
jumblatt 117 1 1 1
|
|
jumping 136 65 116 143
|
|
jumps 59 15 32 108
|
|
jumpsuit 94 13 8 0
|
|
jun 190 26 6 4
|
|
juncker 310 0 7 8
|
|
jung 395 71 6 10
|
|
juninho 612 0 4 9
|
|
junior 13004 1659 124 100
|
|
junkie 235 13 5 5
|
|
junkin 211 4 1 4
|
|
junqueira 1704 0 4 3
|
|
juppe 815 2 0 0
|
|
juppé 106 0 1 0
|
|
jurevicius 890 0 4 2
|
|
jurich 252 3 2 0
|
|
juries 35 4 23 894
|
|
jurist 321 22 6 4
|
|
juror 2124 1924 35 194
|
|
jurors 929 289 121 29926
|
|
justice 24420 2122 2560 951
|
|
justices 225 10 206 12319
|
|
justin 2493 37 99 64
|
|
justine 6 297 8 10
|
|
juvenile 1386 184 22 70
|
|
juveniles 31 12 22 1767
|
|
k 265 60 125 35
|
|
kabalu 101 0 11 82
|
|
kaberle 158 0 0 1
|
|
kabila 675 2 2 3
|
|
kabir 224 4 2 6
|
|
kaczynski 401 3 0 0
|
|
kaderbek 224 0 4 3
|
|
kadhafi 111 0 5 0
|
|
kadhim 226 11 1 5
|
|
kadir 146 6 2 0
|
|
kadyrov 1532 0 0 4
|
|
kaelin 154 47 0 6
|
|
kaenzig 127 0 2 3
|
|
kafelnikov 624 0 17 2
|
|
kafka 110 8 2 5
|
|
kafwain 237 0 2 0
|
|
kagame 645 0 12 5
|
|
kagan 214 65 5 8
|
|
kahanek 1 358 0 0
|
|
kahler 104 17 4 4
|
|
kahlo 2 187 0 1
|
|
kahn 1617 162 48 20
|
|
kahne 3230 2 41 46
|
|
kai 58 69 17 3
|
|
kaichen 1 179 0 0
|
|
kaif 228 11 1 16
|
|
kailee 0 112 0 0
|
|
kaine 192 2 2 1
|
|
kaiser 625 185 536 44
|
|
kaitlyn 0 118 16 5
|
|
kaka 228 0 1 4
|
|
kalam 885 8 22 24
|
|
kalashnikov 923 1 3 0
|
|
kalb 92 27 2 0
|
|
kale 440 21 12 3
|
|
kalem 219 5 0 0
|
|
kaleri 327 0 1 0
|
|
kalikow 104 4 0 0
|
|
kalinic 143 0 0 2
|
|
kalinin 124 0 0 0
|
|
kalinowski 137 23 2 1
|
|
kalish 141 8 1 0
|
|
kalitta 253 0 1 0
|
|
kalla 245 11 3 9
|
|
kallis 981 5 11 13
|
|
kalmadi 104 0 6 8
|
|
kalu 327 7 6 6
|
|
kaluwitharana 170 0 0 0
|
|
kamal 951 22 3 12
|
|
kaman 290 2 17 0
|
|
kamara 142 7 6 7
|
|
kamaruddin 97 0 1 2
|
|
kamei 117 7 2 2
|
|
kamel 953 2 1 5
|
|
kamen 221 3 1 3
|
|
kami 104 23 1 1
|
|
kaminski 106 54 4 7
|
|
kamm 92 24 2 2
|
|
kan 300 17 6 10
|
|
kanaan 2190 2 3 2
|
|
kandahar 664 0 10 2
|
|
kane 1642 523 42 56
|
|
kanell 145 1 0 0
|
|
kang 542 156 6 21
|
|
kangaroos 25 0 24 704
|
|
kannan 88 5 3 4
|
|
kanner 57 39 1 8
|
|
kanoute 296 0 2 2
|
|
kantar 198 1 9 0
|
|
kantor 131 48 5 0
|
|
kao 92 24 84 6
|
|
kapanen 477 0 0 10
|
|
kapil 170 0 4 8
|
|
kaplan 2140 291 63 20
|
|
kapler 411 4 1 0
|
|
kapono 185 0 1 0
|
|
kapoor 141 52 7 9
|
|
kappes 194 2 0 0
|
|
kappos 527 2 0 0
|
|
kaptur 5 198 1 0
|
|
kara 51 178 7 13
|
|
karadzic 653 2 0 0
|
|
karagounis 99 5 0 0
|
|
karam 129 16 8 2
|
|
karamanlis 233 0 6 8
|
|
karan 101 50 4 1
|
|
karas 77 23 1 2
|
|
karcher 30 141 1 5
|
|
kareem 123 4 0 0
|
|
kareena 3 129 0 1
|
|
karelin 160 0 0 1
|
|
karen 75 1617 26 79
|
|
kari 14 163 4 3
|
|
karim 724 17 1 4
|
|
karimi 242 1 2 1
|
|
karimov 393 0 9 7
|
|
kariya 1777 2 16 12
|
|
karl 2480 27 29 40
|
|
karlovic 709 0 0 0
|
|
karlsson 235 4 1 5
|
|
karmanos 120 0 0 0
|
|
karmazin 1347 0 8 15
|
|
karni 145 0 1 37
|
|
karo 3 173 1 0
|
|
karol 133 7 0 1
|
|
karoly 153 5 11 5
|
|
karolyi 44 241 2 9
|
|
karp 366 38 5 4
|
|
karpf 102 0 0 2
|
|
karpinski 31 2162 1 16
|
|
karr 78 31 4 4
|
|
karras 240 5 2 6
|
|
karros 661 6 4 2
|
|
karroubi 167 0 1 2
|
|
karsay 439 0 0 0
|
|
kartik 131 1 10 7
|
|
karuna 396 7 7 8
|
|
karunakaran 373 1 4 6
|
|
karunanidhi 468 15 22 18
|
|
karzai 12320 4 74 68
|
|
kasay 333 0 11 2
|
|
kasecky 116 0 0 0
|
|
kasey 70 40 6 1
|
|
kashmiri 36 2 6 59
|
|
kashmoula 358 0 0 0
|
|
kasi 1934 4 0 25
|
|
kasparaitis 108 0 0 0
|
|
kasparov 659 0 1 4
|
|
kasper 220 15 12 3
|
|
kasprowicz 480 0 4 9
|
|
kass 199 42 5 0
|
|
kassim 103 1 2 0
|
|
kasten 263 3 1 3
|
|
kastor 28 334 0 1
|
|
kasuri 993 0 49 39
|
|
kasyanov 338 1 3 6
|
|
kat 5 87 10 3
|
|
kata 154 5 3 1
|
|
kate 21 1170 16 23
|
|
kates 79 19 3 5
|
|
katherine 15 331 4 17
|
|
kathleen 13 352 21 29
|
|
kathryn 11 186 2 8
|
|
kathy 45 914 21 71
|
|
katich 467 0 3 4
|
|
katie 35 1428 14 51
|
|
kato 278 18 11 11
|
|
katrina 7 174 2 7
|
|
kats 5 2 1 124
|
|
katsav 521 0 5 5
|
|
katy 9 250 91 3
|
|
katz 2445 731 42 70
|
|
katzenberg 249 2 1 0
|
|
katzman 86 11 4 0
|
|
kauffman 386 105 11 32
|
|
kaufman 1545 215 30 39
|
|
kaufmann 81 37 9 3
|
|
kaunda 178 1 4 4
|
|
kaur 3 134 0 8
|
|
kaus 11 114 0 2
|
|
kavanagh 372 35 7 10
|
|
kavanaugh 141 38 2 2
|
|
kawaguchi 45 265 5 6
|
|
kawamoto 116 5 1 2
|
|
kawasaki 74 5 71 17
|
|
kawasme 116 0 0 0
|
|
kay 6655 407 28 61
|
|
kaye 1133 190 10 18
|
|
kayla 7 371 5 10
|
|
kaylee 0 199 1 1
|
|
kazak 121 0 0 0
|
|
kazan 1357 10 15 1
|
|
kazdin 191 1 0 0
|
|
kazemi 18 1651 1 1
|
|
kazmir 250 0 0 1
|
|
keady 1416 5 13 11
|
|
kean 1658 24 24 53
|
|
keane 3343 45 212 66
|
|
kearney 461 245 74 24
|
|
kearns 1169 91 10 15
|
|
kearse 1716 9 18 9
|
|
keating 1489 133 27 10
|
|
keaton 108 394 2 3
|
|
keck 148 36 3 5
|
|
kee 71 28 3 3
|
|
keefe 413 148 20 9
|
|
keefer 114 27 2 6
|
|
keegan 1970 53 20 67
|
|
keel 995 39 23 6
|
|
keeler 472 64 7 8
|
|
keeley 146 67 3 6
|
|
keelty 205 2 12 7
|
|
keen 658 61 117 187
|
|
keenan 943 770 23 28
|
|
keene 459 76 29 6
|
|
keeney 99 87 2 9
|
|
keeper 3414 181 152 43
|
|
keepers 27 8 18 492
|
|
keeshan 287 0 2 4
|
|
keflezighi 425 0 0 0
|
|
kefu 228 0 7 4
|
|
kegel 339 2 3 3
|
|
kehoe 390 74 6 8
|
|
keibler 0 172 0 0
|
|
keiko 81 19 1 0
|
|
keil 82 20 1 3
|
|
keillor 178 6 2 1
|
|
keim 132 23 3 1
|
|
keirstead 269 1 1 0
|
|
keiser 129 19 5 4
|
|
keita 251 3 0 1
|
|
keith 3349 178 48 69
|
|
keizer 121 1 20 5
|
|
kekana 189 11 0 16
|
|
keke 274 2 2 12
|
|
keker 414 0 1 22
|
|
kell 136 38 14 1
|
|
kelleher 466 32 10 11
|
|
kellen 194 3 1 2
|
|
keller 3929 550 81 66
|
|
kellerman 95 29 3 2
|
|
kellett 101 14 0 2
|
|
kelley 3845 752 89 68
|
|
kelli 6 170 2 5
|
|
kellie 13 805 1 6
|
|
kellner 276 28 2 2
|
|
kelly 26726 3128 571 341
|
|
kelman 135 4 2 4
|
|
kelsay 114 1 2 2
|
|
kelsey 180 313 17 10
|
|
kelso 159 152 45 28
|
|
kelton 76 120 9 7
|
|
kelvin 100 1 2 4
|
|
kemp 1749 281 30 64
|
|
kemper 190 63 75 12
|
|
kempf 79 53 4 6
|
|
kemple 485 1 1 1
|
|
kempson 50 51 0 0
|
|
kempthorne 429 5 7 7
|
|
ken 2408 21 28 56
|
|
kendall 4013 240 37 37
|
|
kendra 5 135 3 2
|
|
kendrick 942 97 20 20
|
|
kenna 94 12 2 2
|
|
kennard 392 24 0 5
|
|
kennedy 14431 1057 366 250
|
|
kennedys 5 1 3 127
|
|
kennelly 94 28 0 2
|
|
kenner 121 4 22 3
|
|
kenneth 501 14 6 15
|
|
kennett 136 8 56 50
|
|
kenney 421 162 9 14
|
|
kennison 151 6 7 0
|
|
kennon 91 22 0 0
|
|
kenny 1799 149 38 61
|
|
kenseth 5199 0 12 10
|
|
kenshin 219 0 0 0
|
|
kent 4713 272 175 286
|
|
kenteris 884 0 0 2
|
|
kenton 88 14 15 2
|
|
kentuckians 9 0 3 158
|
|
kenwright 160 2 1 0
|
|
kenyan 308 29 3 10
|
|
kenyatta 625 2 7 6
|
|
kenyon 687 60 49 24
|
|
keogh 125 13 2 13
|
|
keohane 113 146 6 3
|
|
keough 116 15 6 1
|
|
keown 214 6 4 4
|
|
kephart 88 20 0 2
|
|
keppinger 146 0 0 0
|
|
kerik 5573 0 21 10
|
|
kerkorian 1216 0 5 6
|
|
kerkowski 349 12 0 0
|
|
kermit 131 0 4 1
|
|
kern 768 116 17 26
|
|
kernan 2016 78 23 16
|
|
kerney 210 5 3 2
|
|
kerns 336 44 8 17
|
|
kerr 3053 945 59 56
|
|
kerrey 320 0 2 3
|
|
kerrigan 234 63 3 6
|
|
kerry 245279 737 1313 1469
|
|
kersey 158 34 1 7
|
|
kershaw 132 20 1 7
|
|
kershner 150 5 0 2
|
|
kersley 112 4 0 2
|
|
kerss 95 0 0 10
|
|
kersten 220 17 4 1
|
|
kesler 103 32 0 3
|
|
kessel 144 17 4 12
|
|
kessler 733 302 33 16
|
|
kester 98 24 5 8
|
|
ketant 120 0 0 0
|
|
ketchum 247 24 15 5
|
|
kethley 49 418 0 0
|
|
kettles 109 1 4 20
|
|
kev 141 1 0 0
|
|
kevin 4050 47 64 140
|
|
kevorkian 839 1 0 0
|
|
kewell 1641 0 3 5
|
|
keyes 2261 77 10 14
|
|
keys 515 423 254 831
|
|
keyser 263 22 19 7
|
|
keyshawn 362 1 2 4
|
|
kezirian 138 0 0 0
|
|
kezman 400 0 3 0
|
|
kg 105 5 45 23
|
|
khabibulin 1949 0 9 2
|
|
khadduri 175 0 0 0
|
|
khadr 751 10 1 8
|
|
khafazji 174 0 0 0
|
|
khakamada 4 125 5 0
|
|
khaled 672 0 2 3
|
|
khalfan 131 0 1 0
|
|
khalid 596 6 5 15
|
|
khalifa 198 17 0 9
|
|
khalil 1037 17 6 11
|
|
khalilzad 745 0 15 27
|
|
khaliq 211 0 0 1
|
|
khamenei 1135 0 0 7
|
|
khan 11239 449 252 150
|
|
khanna 124 29 5 4
|
|
kharazi 150 0 0 4
|
|
kharitonov 99 0 0 1
|
|
kharrazi 742 0 19 32
|
|
khatami 3537 3 16 50
|
|
khatib 145 5 0 2
|
|
khaw 128 2 1 1
|
|
khawaja 149 0 0 2
|
|
kher 228 8 4 0
|
|
khodorkovsky 6170 3 13 67
|
|
khoei 154 0 0 1
|
|
khokhar 201 3 11 6
|
|
khomeini 239 0 4 14
|
|
khoo 78 16 5 9
|
|
khorkina 0 934 2 1
|
|
khouri 55 455 5 3
|
|
khoury 169 13 3 2
|
|
khoza 125 6 1 11
|
|
khrushchev 102 1 2 1
|
|
khtk 158 0 1 1
|
|
khumalo 237 24 3 12
|
|
khurana 240 5 7 2
|
|
kibaki 1357 8 12 32
|
|
kicanas 96 0 3 1
|
|
kicker 1904 363 57 19
|
|
kicks 75 5 74 93
|
|
kid 14708 543 582 1113
|
|
kidd 11900 172 66 76
|
|
kidder 93 60 1 4
|
|
kidman 82 2029 28 17
|
|
kidnapper 807 58 1 7
|
|
kidnappers 405 73 126 15030
|
|
kidneys 52 33 15 370
|
|
kidwell 96 33 1 9
|
|
kiecker 0 155 0 1
|
|
kiefer 1070 31 8 8
|
|
kieffer 114 8 3 1
|
|
kiel 114 25 13 3
|
|
kielty 496 6 4 6
|
|
kiely 269 14 4 18
|
|
kieran 103 4 2 11
|
|
kieren 141 11 1 1
|
|
kiernan 190 27 4 3
|
|
kieschnick 418 3 0 1
|
|
kiesling 143 21 0 1
|
|
kiffin 153 0 2 3
|
|
kiffmeyer 3 192 0 5
|
|
kilborn 334 2 3 2
|
|
kilby 92 19 1 5
|
|
kildare 5 1 3 105
|
|
kile 154 20 18 2
|
|
kiley 286 60 9 11
|
|
kilger 110 0 0 2
|
|
kilgore 2024 73 52 32
|
|
kilkenny 25 32 8 158
|
|
killeen 108 55 7 13
|
|
killen 79 32 3 1
|
|
killer 6176 213 182 118
|
|
killers 57 20 31 4569
|
|
killian 1229 58 7 11
|
|
killie 6 1 4 111
|
|
killings 135 22 106 382
|
|
killingsworth 257 13 1 2
|
|
kills 18 198 38 80
|
|
kilmer 148 50 11 0
|
|
kilpatrick 1390 97 27 19
|
|
kilrea 181 0 1 2
|
|
kilroy 260 21 5 2
|
|
kilts 99 0 1 11
|
|
kim 14827 1957 172 288
|
|
kimball 540 129 52 16
|
|
kimberley 23 68 18 10
|
|
kimberly 17 404 20 20
|
|
kimble 213 93 4 5
|
|
kimbrell 45 61 2 5
|
|
kimbrough 210 33 3 8
|
|
kimes 321 34 1 17
|
|
kimi 98 8 8 1
|
|
kimmel 628 27 11 10
|
|
kimmell 28 89 1 2
|
|
kimmitt 1931 2 195 35
|
|
kimmorley 140 0 1 1
|
|
kimrin 287 0 0 0
|
|
kimura 106 23 8 4
|
|
kin 29 15 1 56
|
|
kinamore 4 191 0 1
|
|
kincaid 388 66 7 3
|
|
kinchen 108 4 0 4
|
|
kindergartner 135 33 0 1
|
|
kindlon 135 6 0 3
|
|
king 30112 2519 1519 585
|
|
kingman 172 5 35 13
|
|
kingpin 318 3 38 5
|
|
kingsbury 551 20 6 4
|
|
kingsley 311 65 55 19
|
|
kingston 298 114 203 60
|
|
kinkade 128 10 0 4
|
|
kinkel 98 1 1 1
|
|
kinnaird 30 62 5 4
|
|
kinnear 354 9 9 11
|
|
kinney 821 118 16 25
|
|
kinniburgh 106 0 1 0
|
|
kinsella 181 19 4 7
|
|
kinser 151 29 3 3
|
|
kinsey 699 85 22 12
|
|
kinsley 201 9 3 3
|
|
kipp 69 19 19 7
|
|
kipper 197 35 1 7
|
|
kiprusoff 1734 0 19 19
|
|
kirby 941 273 60 31
|
|
kirchner 1518 16 2 16
|
|
kircus 104 0 1 2
|
|
kirilenko 575 31 2 5
|
|
kirk 2293 343 99 52
|
|
kirkham 133 8 6 6
|
|
kirkland 877 98 81 18
|
|
kirkman 97 9 1 1
|
|
kirkpatrick 499 130 13 14
|
|
kirkwood 121 67 25 9
|
|
kirovski 110 0 4 0
|
|
kirsch 459 44 4 5
|
|
kirschner 83 19 0 2
|
|
kirsten 650 114 9 21
|
|
kirsty 1 243 4 2
|
|
kirtley 223 10 3 3
|
|
kirwa 117 1 4 8
|
|
kirwan 268 19 8 21
|
|
kirwin 160 7 5 0
|
|
kiser 260 63 0 4
|
|
kish 158 21 17 10
|
|
kiss 167 34 151 57
|
|
kissel 152 6 1 1
|
|
kissell 130 14 3 2
|
|
kissinger 1909 17 8 13
|
|
kistler 83 29 14 1
|
|
kitajima 290 0 3 0
|
|
kitchens 113 35 9 62
|
|
kite 1055 30 80 16
|
|
kitna 1655 0 12 10
|
|
kittleman 107 6 2 0
|
|
kittles 601 0 0 4
|
|
kittner 101 2 0 0
|
|
kitty 17 174 22 8
|
|
kitzhaber 104 3 1 2
|
|
kitzman 327 5 0 1
|
|
kiwis 20 3 10 1410
|
|
kizer 92 12 30 1
|
|
kizil 96 0 0 19
|
|
kjus 106 0 0 0
|
|
klaas 76 24 0 8
|
|
klassen 132 86 3 5
|
|
klatt 690 20 19 5
|
|
klaus 342 25 6 3
|
|
klausner 114 6 1 5
|
|
klayman 131 1 0 0
|
|
kleberson 309 0 2 5
|
|
klebnikov 387 0 24 1
|
|
klecko 220 0 1 0
|
|
klee 96 10 2 2
|
|
kleiber 94 5 1 1
|
|
klein 5046 521 112 98
|
|
kleinberg 78 42 1 2
|
|
kleinfelter 137 11 0 3
|
|
kleinman 119 7 1 5
|
|
kleinsasser 138 1 2 1
|
|
klemm 159 6 1 3
|
|
klesko 532 0 1 2
|
|
klesla 103 0 0 0
|
|
klestil 817 0 0 2
|
|
klien 126 4 1 0
|
|
klim 106 1 0 0
|
|
klimek 131 3 1 4
|
|
kline 2131 192 51 21
|
|
kling 157 37 2 5
|
|
klinger 122 31 2 6
|
|
klinghoffer 338 0 0 1
|
|
klinsmann 393 0 5 1
|
|
klitschko 7574 1 32 17
|
|
klobuchar 8 94 2 4
|
|
kloden 327 0 0 0
|
|
klos 136 19 6 4
|
|
klose 125 2 2 0
|
|
klotz 220 27 4 2
|
|
klug 114 15 2 9
|
|
kluivert 516 0 2 2
|
|
klum 1 162 0 0
|
|
klusener 332 0 13 3
|
|
knafel 82 259 0 3
|
|
knapp 824 172 14 13
|
|
knaus 84 10 2 16
|
|
knauss 167 13 6 3
|
|
knecht 136 8 3 6
|
|
knee 8791 719 719 209
|
|
knees 270 47 52 94
|
|
knepper 89 12 0 0
|
|
knicks 168 0 55 7125
|
|
knievel 223 0 1 1
|
|
knife 1615 1823 1355 144
|
|
knight 12800 1293 412 109
|
|
knighthood 295 0 10 0
|
|
knightley 4 128 2 0
|
|
knighton 108 12 2 2
|
|
knives 53 10 16 1288
|
|
knock 497 10 147 66
|
|
knockdown 193 0 11 3
|
|
knockouts 538 0 0 10
|
|
knoll 182 78 14 17
|
|
knoller 1 159 0 1
|
|
knopp 408 14 10 2
|
|
knorr 155 6 4 3
|
|
knott 384 61 6 10
|
|
knotts 453 28 1 10
|
|
knowles 1133 374 31 32
|
|
knowlton 419 50 37 3
|
|
knox 605 459 45 22
|
|
knuble 247 0 3 0
|
|
knuckleballer 272 0 0 0
|
|
knudsen 172 41 6 8
|
|
knudson 90 20 2 3
|
|
knutson 185 30 6 4
|
|
ko 174 52 110 4
|
|
kobach 184 0 4 0
|
|
kobayashi 724 84 0 4
|
|
kobe 2438 16 37 17
|
|
koby 139 0 0 0
|
|
koch 1678 227 93 48
|
|
kocharian 217 0 3 5
|
|
koda 1081 8 9 6
|
|
kody 157 3 0 2
|
|
koehler 728 108 9 20
|
|
koehn 54 98 0 10
|
|
koeman 104 0 1 6
|
|
koen 88 16 8 8
|
|
koenig 572 110 6 6
|
|
koetter 252 0 2 1
|
|
koga 159 2 1 1
|
|
kogan 121 9 1 3
|
|
koh 246 22 9 9
|
|
kohl 1218 21 55 8
|
|
kohler 515 71 19 17
|
|
kohli 237 13 2 8
|
|
kohn 620 80 4 9
|
|
kohut 165 2 1 5
|
|
koirala 98 4 2 0
|
|
koivu 610 0 6 7
|
|
koizumi 10430 16 130 52
|
|
koklich 107 2 3 5
|
|
koko 15 292 0 0
|
|
kolb 809 71 3 4
|
|
kolbe 304 17 14 9
|
|
kolber 132 14 1 2
|
|
kolby 216 3 0 2
|
|
kolk 177 0 0 0
|
|
koller 395 41 1 5
|
|
kolzig 820 0 7 0
|
|
komara 101 5 0 0
|
|
komarnitsky 305 2 1 0
|
|
komets 7 0 2 194
|
|
konerko 660 0 10 26
|
|
kong 409 37 33 22
|
|
kono 58 39 2 2
|
|
konopka 102 6 0 1
|
|
konowalchuk 201 0 4 0
|
|
konrad 140 17 11 1
|
|
kony 142 0 3 8
|
|
konz 14 116 0 1
|
|
koo 137 11 6 2
|
|
koon 105 16 3 2
|
|
koonce 124 13 0 2
|
|
koons 93 23 2 8
|
|
koontz 156 37 3 6
|
|
koopman 138 8 5 1
|
|
kopf 394 6 9 1
|
|
kopitske 129 0 0 0
|
|
koplove 161 0 0 0
|
|
koplowitz 1 101 0 0
|
|
kopp 2077 77 9 8
|
|
koppel 263 5 4 5
|
|
koppelman 348 7 0 0
|
|
kopper 623 1 0 0
|
|
kor 11 93 13 1
|
|
korb 88 32 4 8
|
|
korchemny 108 2 4 1
|
|
kordell 211 4 3 2
|
|
korean 295 64 248 262
|
|
korei 138 0 1 1
|
|
korir 102 0 0 2
|
|
korn 256 14 30 42
|
|
korolyuk 558 0 0 0
|
|
kors 102 2 2 3
|
|
korver 368 4 0 1
|
|
korzhanenko 0 162 0 0
|
|
kos 863 27 108 12
|
|
koski 63 40 1 3
|
|
koskie 942 1 13 1
|
|
kostanic 0 125 0 0
|
|
kostelic 139 192 1 0
|
|
koster 256 16 5 4
|
|
kostov 114 0 2 0
|
|
kostunica 670 0 3 4
|
|
kostya 117 1 1 0
|
|
kotalik 123 0 0 1
|
|
kotchman 196 8 0 0
|
|
kotsay 998 0 1 0
|
|
kott 139 4 1 1
|
|
koubek 215 0 0 0
|
|
koubriti 108 0 0 10
|
|
koufax 337 0 5 0
|
|
kournikova 2 1240 6 2
|
|
koury 113 27 2 5
|
|
kovach 125 31 1 5
|
|
kovacs 141 30 1 8
|
|
kovalchuk 1104 1 2 7
|
|
kovalev 1382 0 3 6
|
|
kowalski 212 52 2 6
|
|
kozak 101 14 6 6
|
|
kozicki 292 1 0 0
|
|
kozlov 543 1 0 0
|
|
kozlowski 2810 55 3 25
|
|
kraehe 219 11 9 1
|
|
kraemer 141 39 10 10
|
|
krajan 121 0 0 0
|
|
krajicek 284 2 3 1
|
|
krajisnik 146 3 0 1
|
|
krall 68 240 2 14
|
|
kramek 105 3 0 3
|
|
kramer 1560 326 31 24
|
|
kramnik 104 0 3 0
|
|
krampitz 215 3 0 1
|
|
krantz 377 54 5 7
|
|
krar 203 1 0 6
|
|
krasner 121 11 1 8
|
|
kraus 353 79 5 17
|
|
krause 882 139 20 22
|
|
krauser 405 2 1 4
|
|
krauss 72 84 2 7
|
|
kravitz 365 14 3 1
|
|
krawczyk 264 33 1 4
|
|
krayzelburg 393 0 0 0
|
|
krebs 150 48 3 10
|
|
kreis 157 3 10 0
|
|
krekar 868 0 3 9
|
|
kremen 223 2 0 0
|
|
kremer 180 35 3 1
|
|
krenn 275 1 0 1
|
|
krenz 122 9 0 0
|
|
krenzel 1660 0 3 2
|
|
kresge 302 2 2 3
|
|
krieger 260 71 0 8
|
|
krige 355 8 5 10
|
|
kriger 98 137 0 1
|
|
kris 196 115 5 16
|
|
krischer 95 0 3 5
|
|
krishna 503 18 22 14
|
|
kriss 130 6 3 2
|
|
krista 4 102 1 3
|
|
kristen 16 503 10 12
|
|
kristi 6 114 3 6
|
|
kristin 7 405 10 19
|
|
kristina 6 266 1 9
|
|
kristofferson 145 0 0 0
|
|
kristy 0 111 6 2
|
|
kroeger 110 22 2 2
|
|
kroeker 153 6 2 1
|
|
kroenke 126 0 2 2
|
|
kroes 0 256 0 0
|
|
krog 182 4 0 3
|
|
krogh 225 2 2 1
|
|
krohn 97 24 4 1
|
|
kron 104 11 47 8
|
|
krone 122 154 16 3
|
|
krstic 270 2 0 1
|
|
kruczek 196 1 2 1
|
|
krueger 417 309 9 18
|
|
krug 108 48 8 2
|
|
krugel 122 0 0 11
|
|
kruger 883 151 47 15
|
|
krugman 125 6 5 6
|
|
krull 85 25 4 2
|
|
kruse 321 89 7 13
|
|
krystkowiak 98 0 0 3
|
|
krzyzewski 4038 0 112 13
|
|
kubel 108 0 0 0
|
|
kubina 413 6 0 0
|
|
kubo 203 8 1 3
|
|
kucera 302 19 13 2
|
|
kuchar 131 2 2 0
|
|
kuchma 5045 1 17 19
|
|
kucinich 3151 19 13 18
|
|
kudos 62 6 41 20
|
|
kudrin 127 0 4 4
|
|
kuehl 67 50 5 2
|
|
kuehn 97 34 0 3
|
|
kuehne 722 13 5 0
|
|
kuerten 1824 0 7 0
|
|
kufuor 482 13 16 16
|
|
kugler 96 12 2 3
|
|
kuglin 2 107 0 0
|
|
kuhl 217 114 3 3
|
|
kuhn 655 191 14 32
|
|
kuipers 196 7 4 3
|
|
kuklinski 188 6 3 1
|
|
kukoc 196 0 0 0
|
|
kulas 102 0 0 1
|
|
kulongoski 1758 5 16 10
|
|
kumagai 74 1 28 0
|
|
kumar 2078 58 49 51
|
|
kumaratunga 33 1404 10 13
|
|
kumble 1167 4 5 6
|
|
kumm 109 4 1 0
|
|
kung 53 661 0 0
|
|
kunkel 159 56 7 2
|
|
kunkle 350 24 4 10
|
|
kuntz 143 39 5 3
|
|
kunz 89 85 2 6
|
|
kuo 160 22 5 2
|
|
kupchak 2004 0 6 7
|
|
kupets 1 350 2 0
|
|
kurd 372 36 2 76
|
|
kurdi 116 2 1 0
|
|
kuroda 143 7 2 0
|
|
kuroyedov 390 0 2 0
|
|
kurt 1582 11 16 27
|
|
kurth 223 9 2 0
|
|
kurtz 579 196 20 13
|
|
kurz 80 41 0 0
|
|
kushner 1190 33 8 9
|
|
kutaragi 98 0 7 1
|
|
kutcher 497 5 14 3
|
|
kutz 83 25 0 1
|
|
kuwaiti 197 1 7 0
|
|
kuwaitis 11 0 5 1083
|
|
kuykendall 278 24 1 2
|
|
kuznetsova 6 1867 2 1
|
|
kvapil 251 0 1 1
|
|
kvasha 169 0 1 0
|
|
kwame 160 3 1 3
|
|
kwan 84 2103 6 4
|
|
kwasniewski 1136 1 5 7
|
|
kwiatkowski 93 28 2 1
|
|
kwon 189 39 4 10
|
|
ky 300 5 2 1
|
|
kyl 100 0 2 3
|
|
kyle 2714 100 36 40
|
|
kyles 187 10 1 12
|
|
kylie 8 459 5 15
|
|
kyo 5 238 1 0
|
|
kyrillos 127 0 0 0
|
|
labadze 160 0 1 0
|
|
labarbera 169 1 2 2
|
|
labbe 146 15 4 3
|
|
labelle 126 85 3 7
|
|
labonte 3968 19 9 6
|
|
laborer 673 3 0 2
|
|
labourer 237 7 3 6
|
|
laboy 133 13 0 1
|
|
labrada 120 0 0 0
|
|
labrador 43 31 21 13
|
|
labrum 1294 23 6 0
|
|
labute 153 1 0 0
|
|
lacasse 178 16 2 3
|
|
laceration 79 16 2 20
|
|
lacewell 10 111 1 0
|
|
lacey 289 179 36 32
|
|
lachance 262 36 4 1
|
|
lachey 225 0 0 7
|
|
laci 58 7332 5 150
|
|
lackey 1010 69 16 9
|
|
lacks 66 0 46 2
|
|
laclaire 103 2 0 1
|
|
lacombe 72 31 11 2
|
|
lacroix 500 57 4 5
|
|
lacson 1066 8 17 27
|
|
lacy 1120 148 28 18
|
|
lad 1601 5 48 16
|
|
ladan 1 193 0 172
|
|
ladd 480 60 6 6
|
|
laden 29572 26 135 164
|
|
ladner 101 21 2 1
|
|
lady 331 6641 1216 22335
|
|
laettner 366 0 1 0
|
|
lafave 38 87 5 28
|
|
lafeber 109 0 0 0
|
|
lafferty 86 47 0 0
|
|
laffey 274 12 11 3
|
|
lafleur 186 40 11 5
|
|
lafontaine 191 6 4 2
|
|
laforte 99 1 0 0
|
|
lafrentz 474 0 0 26
|
|
lagasse 110 10 2 0
|
|
lagat 169 2 0 3
|
|
lage 101 3 1 0
|
|
lagos 489 12 85 25
|
|
lagoumtzi 0 399 0 0
|
|
lagrone 193 4 0 7
|
|
lagucik 260 0 0 1
|
|
lahood 202 0 6 4
|
|
lahoud 519 2 5 5
|
|
lai 319 40 23 12
|
|
laidlaw 75 23 73 14
|
|
laidley 223 0 4 9
|
|
laimbeer 356 9 4 5
|
|
laine 99 14 2 4
|
|
laing 145 64 65 4
|
|
laird 741 81 38 8
|
|
lajoie 158 5 0 0
|
|
lakefield 342 0 4 3
|
|
laker 501 4 11 6
|
|
lakers 397 7 232 21568
|
|
lakhani 1175 7 1 3
|
|
lal 183 17 7 11
|
|
lalanne 138 0 7 0
|
|
laleh 0 182 0 32
|
|
laliberte 116 16 3 2
|
|
lalime 1076 0 5 1
|
|
lalonde 238 14 2 2
|
|
laloo 236 1 4 5
|
|
lalu 151 3 5 0
|
|
lam 363 206 41 22
|
|
lama 122 10 4 1
|
|
lamar 375 52 288 81
|
|
lamarche 16 83 3 3
|
|
lamb 1799 329 177 56
|
|
lambert 1770 382 78 58
|
|
lamberth 263 10 0 12
|
|
lambeth 89 16 16 8
|
|
lamebear 131 0 0 1
|
|
lamizana 161 0 0 1
|
|
lamkin 114 2 0 0
|
|
lamm 104 67 3 2
|
|
lamo 487 0 0 0
|
|
lamont 211 29 5 5
|
|
lamontagne 91 20 2 7
|
|
lamoriello 247 0 2 23
|
|
lamothe 229 6 1 1
|
|
lamoureux 91 9 3 2
|
|
lampard 551 4 10 5
|
|
lampe 202 48 2 3
|
|
lampert 1239 19 8 9
|
|
lamps 15 0 8 172
|
|
lampson 121 2 1 2
|
|
lamy 705 6 20 22
|
|
lancashire 26 12 20 394
|
|
lancaster 504 161 226 60
|
|
lance 2181 47 130 25
|
|
landa 125 9 0 0
|
|
landau 199 20 9 1
|
|
landers 449 89 9 41
|
|
landes 95 15 1 3
|
|
landeta 117 0 0 0
|
|
landis 793 66 13 11
|
|
landlady 18 161 1 7
|
|
landlord 1667 262 182 192
|
|
landon 433 27 29 6
|
|
landowner 495 33 83 95
|
|
landrieu 81 1416 5 3
|
|
landrum 123 42 6 3
|
|
landry 1574 170 26 33
|
|
landscaper 141 83 4 3
|
|
landy 111 17 2 3
|
|
lane 6127 685 448 147
|
|
laney 314 2576 17 16
|
|
lang 2457 517 34 56
|
|
langan 355 18 6 3
|
|
langdon 266 57 18 8
|
|
lange 601 286 16 15
|
|
langenbrunner 311 2 1 0
|
|
langer 2950 32 37 19
|
|
langevin 121 9 3 32
|
|
langford 1137 47 24 29
|
|
langham 104 16 6 2
|
|
langkow 190 0 0 0
|
|
langley 495 144 56 25
|
|
langlois 135 49 1 17
|
|
langmack 110 6 0 7
|
|
langone 823 5 0 3
|
|
langston 174 112 16 9
|
|
lanham 107 21 2 3
|
|
lanier 314 67 76 11
|
|
lankford 339 46 2 6
|
|
lanning 150 23 4 5
|
|
lansbury 0 117 5 0
|
|
lansdowne 108 3 19 17
|
|
lantos 511 0 4 7
|
|
lantz 166 128 2 2
|
|
lanza 312 10 8 4
|
|
laois 3 0 1 121
|
|
lap 998 23 249 68
|
|
lapentti 250 0 0 0
|
|
laperriere 135 0 0 0
|
|
lapid 925 1 4 7
|
|
lapidus 96 9 0 0
|
|
lapierre 257 12 2 8
|
|
lapin 101 8 0 0
|
|
laplante 173 25 3 9
|
|
lapointe 539 34 11 6
|
|
laporta 1011 3 2 15
|
|
laporte 497 41 109 82
|
|
lappas 234 0 3 5
|
|
lappin 99 48 3 2
|
|
laps 447 9 235 94
|
|
lara 4715 222 57 34
|
|
laramore 188 6 0 1
|
|
laraque 168 0 0 1
|
|
large 93 9 3 10
|
|
largent 451 4 0 4
|
|
lari 228 0 2 1
|
|
larian 144 0 1 0
|
|
larionov 337 0 1 0
|
|
larios 118 25 0 0
|
|
lark 238 27 16 2
|
|
larkham 268 0 4 2
|
|
larkin 3341 146 31 21
|
|
larkins 93 54 2 8
|
|
laroche 618 19 3 3
|
|
larose 253 25 3 4
|
|
larouche 145 41 2 3
|
|
larrabee 116 7 3 3
|
|
larry 2679 41 33 57
|
|
larsen 1418 269 29 37
|
|
larson 2360 602 47 78
|
|
larsson 1505 7 9 20
|
|
larue 684 51 11 11
|
|
laruffa 316 0 0 0
|
|
lasak 164 0 0 0
|
|
lash 398 14 8 8
|
|
lashing 361 1 7 4
|
|
laskowski 142 16 0 1
|
|
lasorda 223 0 22 2
|
|
lasoski 99 0 3 0
|
|
lass 21 143 3 5
|
|
lasser 317 2 0 0
|
|
lassiter 237 50 10 11
|
|
laster 76 23 2 1
|
|
lastman 208 0 3 0
|
|
latchin 106 0 0 0
|
|
lateef 177 1 2 0
|
|
latham 5811 140 169 94
|
|
lathrop 217 24 69 6
|
|
latif 659 5 7 7
|
|
latifah 1 353 1 0
|
|
latimer 250 69 10 6
|
|
latimore 110 12 0 0
|
|
latino 271 5 14 16
|
|
latortue 1840 6 1 4
|
|
latourette 126 3 5 0
|
|
latta 88 134 41 6
|
|
latter 1038 97 1022 465
|
|
latvian 149 2 7 11
|
|
lau 452 171 20 15
|
|
lauder 41 1629 4 4
|
|
lauer 351 40 12 14
|
|
laughlin 349 36 8 16
|
|
laughman 184 1 2 1
|
|
laul 126 0 0 0
|
|
lauper 0 134 0 0
|
|
laura 85 1776 23 100
|
|
laurance 195 3 0 1
|
|
laureate 201 157 16 11
|
|
lauren 204 843 32 23
|
|
laurence 117 10 1 4
|
|
laurent 167 16 2 6
|
|
laurie 249 278 5 30
|
|
laursen 95 22 4 2
|
|
lautenberg 637 1 6 5
|
|
lautenschlager 11 779 0 4
|
|
laux 95 24 6 4
|
|
lavagna 96 0 0 4
|
|
laval 225 0 36 16
|
|
lavalle 107 7 2 3
|
|
lavallee 123 26 3 2
|
|
lavelle 129 30 3 2
|
|
lavender 290 33 30 9
|
|
laverty 112 8 3 0
|
|
lavery 114 10 3 1
|
|
lavigne 206 272 17 35
|
|
lavin 1102 39 11 8
|
|
lavine 82 30 3 3
|
|
laviolette 364 3 2 0
|
|
lavoie 127 38 4 9
|
|
lavrov 514 1 2 22
|
|
lawal 43 1141 7 0
|
|
lawbreakers 2 0 1 173
|
|
lawler 333 66 5 11
|
|
lawless 273 57 5 2
|
|
lawlor 314 23 9 5
|
|
lawmaker 6845 398 78 103
|
|
lawman 173 1 2 0
|
|
lawmen 24 4 2 177
|
|
lawrence 3748 798 342 108
|
|
lawrie 410 9 3 7
|
|
lawson 2329 512 150 55
|
|
lawton 1359 113 10 15
|
|
lawyer 87345 6933 1295 2868
|
|
lawyers 6155 1942 1230 61103
|
|
laxman 784 1 8 5
|
|
lay 8816 56 53 45
|
|
laycock 116 9 5 3
|
|
layden 253 11 5 11
|
|
layfield 109 13 0 1
|
|
layman 117 58 92 17
|
|
layne 369 62 1 8
|
|
layoff 92 16 72 86
|
|
layton 1174 76 39 10
|
|
lazar 62 45 2 5
|
|
lazarenko 582 0 1 0
|
|
lazaridis 199 3 3 0
|
|
lazarus 382 29 27 8
|
|
lazisky 112 0 0 1
|
|
lazo 226 9 1 3
|
|
lazutina 0 209 0 0
|
|
lazzaro 114 7 1 1
|
|
lbj 112 1 4 1
|
|
lci 0 109 32 4
|
|
le 218 91 74 11
|
|
lea 142 162 55 29
|
|
leach 2646 203 32 36
|
|
leader 159445 4597 8985 3369
|
|
leading 222 51 157 87
|
|
leadoff 523 4 55 1
|
|
leafs 72 0 50 2641
|
|
leah 23 307 10 12
|
|
leahy 1097 55 14 37
|
|
leak 658 36 373 261
|
|
leake 103 29 3 5
|
|
leal 59 106 4 1
|
|
leaney 822 2 3 4
|
|
leaning 105 15 74 46
|
|
leanne 2 139 1 6
|
|
learning 844 66 620 400
|
|
leary 494 105 13 14
|
|
least 198 4 43 29
|
|
leatherman 233 35 17 7
|
|
leave 681 163 341 254
|
|
leaving 545 71 263 442
|
|
leavitt 2684 87 31 18
|
|
lebanese 16 1 11 494
|
|
lebeau 643 36 6 4
|
|
lebedev 526 0 1 11
|
|
leblanc 1342 225 18 30
|
|
lebo 260 18 6 4
|
|
lebreton 190 2 0 0
|
|
lebron 1050 8 11 3
|
|
lebrun 99 15 3 2
|
|
lecavalier 1413 2 5 26
|
|
leckie 96 12 2 1
|
|
leclair 813 52 5 6
|
|
leclerc 284 10 2 4
|
|
lecroy 336 3 33 3
|
|
lecturer 662 96 13 28
|
|
ledbetter 192 86 4 10
|
|
leddy 75 19 3 3
|
|
ledee 443 3 2 1
|
|
lederer 51 44 8 1
|
|
lederman 446 50 1 0
|
|
ledesma 91 16 0 9
|
|
ledezma 113 5 0 2
|
|
ledford 269 79 14 4
|
|
ledge 190 4 13 1
|
|
ledger 78 24 46 7
|
|
ledoux 98 22 2 3
|
|
leduc 137 26 4 2
|
|
lee 28456 2977 796 541
|
|
leech 134 14 9 2
|
|
leejay 0 120 0 0
|
|
leek 54 16 3 52
|
|
leeper 123 26 1 6
|
|
lees 282 468 12 83
|
|
leeson 86 17 1 0
|
|
leetch 929 0 1 2
|
|
lefebvre 215 35 1 7
|
|
lefevre 77 31 1 3
|
|
leffler 620 15 5 0
|
|
lefors 460 0 3 0
|
|
lefthander 1393 5 5 4
|
|
lefties 14 0 3 112
|
|
leftist 98 1 1 3
|
|
leftwich 2747 24 50 10
|
|
lefty 3419 13 13 84
|
|
leg 2681 347 938 179
|
|
legace 920 1 1 0
|
|
legacies 2 1 1 97
|
|
legarda 16 189 5 9
|
|
legault 171 10 3 31
|
|
legend 3034 200 471 82
|
|
leger 93 73 9 13
|
|
legere 151 17 1 2
|
|
legg 147 29 27 6
|
|
leggatt 106 0 0 6
|
|
leggett 332 46 23 6
|
|
legislator 4455 479 66 155
|
|
legs 679 221 284 706
|
|
legspinner 99 0 7 0
|
|
legwand 259 0 1 3
|
|
lehane 131 11 5 0
|
|
lehman 1319 96 888 72
|
|
lehmann 2342 34 19 21
|
|
lehner 86 30 23 1
|
|
lehr 159 32 1 5
|
|
lehrer 196 13 1 1
|
|
lehtinen 415 1 0 1
|
|
lehtonen 96 0 3 1
|
|
leiberman 103 0 3 0
|
|
leigh 275 540 30 212
|
|
leighton 710 35 189 13
|
|
leija 428 2 3 1
|
|
leinart 1821 1 10 4
|
|
leipus 203 0 4 0
|
|
leishman 93 14 0 5
|
|
leitao 283 3 1 1
|
|
leitch 95 11 68 9
|
|
leiter 1671 5 7 2
|
|
leith 57 32 14 12
|
|
leiweke 154 0 0 0
|
|
lejeune 47 20 31 3
|
|
lekota 166 0 6 3
|
|
leland 601 31 23 7
|
|
lelie 122 0 1 0
|
|
lemaire 503 3 3 6
|
|
leman 145 12 1 2
|
|
lemarque 195 0 0 0
|
|
lemay 159 25 1 27
|
|
lember 249 1 2 1
|
|
lemieux 4322 63 8 25
|
|
lemke 110 17 0 3
|
|
lemmon 80 32 5 11
|
|
lemon 511 87 48 18
|
|
lemond 119 0 0 1
|
|
lemons 149 66 11 46
|
|
len 110 3 27 3
|
|
lena 8 155 5 7
|
|
lenard 393 8 8 1
|
|
lengths 150 32 116 188
|
|
leniency 66 9 18 31
|
|
lenihan 123 13 1 1
|
|
lenin 114 1 4 8
|
|
lennon 2822 82 47 15
|
|
lennox 377 199 68 38
|
|
lenny 348 8 4 4
|
|
leno 1984 28 13 5
|
|
lenton 5 148 6 3
|
|
lentz 448 69 14 7
|
|
lenz 280 32 9 7
|
|
leo 645 65 32 30
|
|
leon 1230 129 58 19
|
|
leonard 4057 396 67 80
|
|
leonardo 135 18 6 2
|
|
leone 375 56 8 4
|
|
leong 212 49 5 3
|
|
leonhard 131 2 2 2
|
|
leonhardt 101 8 1 1
|
|
leonsis 960 0 1 5
|
|
leopold 222 96 8 7
|
|
lepage 325 11 2 3
|
|
lepore 127 938 5 10
|
|
lepper 113 7 2 10
|
|
leprich 209 0 2 0
|
|
lereah 122 0 0 0
|
|
lerman 69 34 0 1
|
|
lerner 938 95 15 7
|
|
leroux 130 7 6 0
|
|
leroy 240 32 27 7
|
|
les 604 11 112 23
|
|
lesbian 8 1336 6 5
|
|
leschi 152 0 2 0
|
|
leschyshyn 106 0 0 0
|
|
leskanic 263 1 0 2
|
|
lesko 100 13 0 3
|
|
lesley 31 216 6 7
|
|
leslie 801 863 22 35
|
|
lesnar 623 1 2 3
|
|
lesniak 143 4 3 3
|
|
lessard 335 12 1 1
|
|
lesser 57 14 16 27
|
|
lester 880 110 19 21
|
|
lesueur 129 8 0 1
|
|
letourneau 71 1859 10 7
|
|
letsinger 135 0 0 0
|
|
lett 241 22 9 6
|
|
letter 7005 1716 6924 4278
|
|
letterman 1738 24 53 4
|
|
letters 603 237 330 14794
|
|
letts 59 31 12 6
|
|
letwin 210 2 7 7
|
|
leukemia 751 15 43 8
|
|
leung 464 522 12 42
|
|
levasseur 228 13 1 2
|
|
levein 539 0 9 17
|
|
leveling 95 0 7 1
|
|
levens 555 13 0 7
|
|
levenson 120 28 0 5
|
|
leventhal 127 5 4 3
|
|
lever 194 28 92 15
|
|
leverett 91 20 8 1
|
|
levesque 208 52 9 7
|
|
levet 516 5 5 4
|
|
levey 86 15 7 0
|
|
levi 692 28 153 11
|
|
levin 2289 194 29 74
|
|
levine 1516 225 52 38
|
|
levinson 418 33 6 6
|
|
levitt 475 44 29 16
|
|
levitte 125 0 3 1
|
|
levy 2234 274 659 118
|
|
lew 335 17 13 10
|
|
lewandowski 184 37 3 6
|
|
lewellen 95 8 0 0
|
|
lewin 158 37 2 7
|
|
lewington 113 1 1 6
|
|
lewinsky 3 870 3 3
|
|
lewis 34448 2230 602 406
|
|
lewsey 109 0 2 5
|
|
lex 93 4 12 8
|
|
ley 124 60 3 3
|
|
leyden 60 2 40 8
|
|
leykis 164 0 0 0
|
|
leyland 451 1 11 7
|
|
leyva 256 22 1 7
|
|
lezak 125 0 52 0
|
|
li 2913 431 86 58
|
|
lia 39 25 36 6
|
|
liaison 178 61 123 54
|
|
liam 418 10 9 17
|
|
liang 180 36 4 9
|
|
liao 150 33 8 4
|
|
liar 1715 21 22 5
|
|
libby 154 145 31 12
|
|
liberal 385 56 152 90
|
|
libertarian 149 4 9 7
|
|
libeskind 795 4 0 5
|
|
librarian 104 617 20 31
|
|
libyan 123 0 3 1
|
|
libyans 5 0 4 728
|
|
licht 190 9 1 2
|
|
lichtenstein 97 17 1 0
|
|
lickliter 415 17 3 1
|
|
liddell 143 75 8 3
|
|
liddy 90 13 19 1
|
|
lidge 427 0 2 0
|
|
lidle 1106 0 0 2
|
|
lidster 122 0 0 0
|
|
lidstrom 133 0 0 36
|
|
lieb 85 20 2 1
|
|
lieber 1331 14 5 6
|
|
lieberman 11386 182 52 81
|
|
lieberthal 752 0 4 6
|
|
liebig 109 3 2 1
|
|
lied 319 6 7 11
|
|
lien 2140 49 51 32
|
|
liens 26 1 5 205
|
|
lies 136 34 85 156
|
|
lietzke 906 0 6 0
|
|
lieutenant 2370 69 23 106
|
|
lieutenants 21 3 5 978
|
|
liew 77 12 11 4
|
|
lifeguard 191 37 25 9
|
|
lifers 2 0 0 106
|
|
lifetime 265 66 262 113
|
|
lifters 1 1 0 171
|
|
lifts 13 4 5 210
|
|
ligament 2332 98 86 33
|
|
ligaments 295 18 6 39
|
|
liggett 107 4 25 4
|
|
liggins 87 481 2 7
|
|
lighter 128 25 107 25
|
|
lightfoot 204 41 0 2
|
|
lightweight 150 3 11 2
|
|
ligon 53 84 4 0
|
|
ligue 778 4 0 0
|
|
likhovtseva 0 262 0 0
|
|
liking 103 14 50 19
|
|
likins 248 9 4 1
|
|
liles 136 44 3 1
|
|
lilia 1 430 0 1
|
|
lillard 94 11 0 2
|
|
lillee 201 0 1 2
|
|
lilley 222 40 3 10
|
|
lillian 7 180 5 8
|
|
lillie 95 42 5 7
|
|
lily 13 368 13 13
|
|
lim 1295 176 60 65
|
|
lima 2531 58 70 14
|
|
limbaugh 7089 5 5 16
|
|
limbs 26 16 20 557
|
|
limehouse 118 1 1 0
|
|
limousine 71 3 50 20
|
|
limp 649 5 6 4
|
|
lin 1028 245 34 44
|
|
lina 117 75 3 14
|
|
lincicome 4 248 0 0
|
|
lincoln 1068 504 1056 273
|
|
lind 225 70 3 9
|
|
linda 80 1389 21 110
|
|
lindauer 20 802 0 0
|
|
lindberg 174 48 10 6
|
|
lindbergh 177 33 8 65
|
|
linde 174 9 65 1
|
|
lindell 143 16 3 1
|
|
linden 343 168 57 30
|
|
linder 225 37 6 6
|
|
lindgren 167 33 3 1
|
|
lindh 152 461 0 3
|
|
lindholm 91 9 1 4
|
|
lindley 141 125 10 11
|
|
lindner 309 26 6 3
|
|
lindquist 122 129 6 2
|
|
lindros 1342 3 2 1
|
|
lindsay 736 655 75 35
|
|
lindsey 773 609 37 45
|
|
lindstrom 203 42 2 7
|
|
linebacker 5591 1 55 32
|
|
linebackers 31 0 21 673
|
|
linehan 226 18 3 11
|
|
lineman 3198 1 17 104
|
|
linemen 82 0 29 1676
|
|
linesman 561 2 16 4
|
|
ling 599 103 17 20
|
|
lingle 52 1434 16 17
|
|
linguist 101 5 0 0
|
|
linn 195 176 9 12
|
|
lino 150 2 0 0
|
|
linton 181 98 55 20
|
|
lionel 170 1 55 3
|
|
liotta 251 2 0 5
|
|
lip 110 10 59 6
|
|
lipinski 195 22 0 3
|
|
lipman 85 24 39 18
|
|
lippi 378 1 7 11
|
|
lipponen 95 4 0 3
|
|
lips 59 73 37 75
|
|
lipscomb 505 78 83 16
|
|
lipton 101 41 22 9
|
|
lisa 101 2135 25 113
|
|
listener 202 26 13 79
|
|
listeners 80 17 74 2542
|
|
listening 309 87 199 294
|
|
lister 354 52 10 21
|
|
liston 186 23 4 5
|
|
lit 161 0 3 4
|
|
lita 21 182 9 4
|
|
litchfield 515 30 81 11
|
|
lithgow 79 1 11 18
|
|
lithuanian 494 2 5 0
|
|
litman 92 5 0 3
|
|
little 5249 623 3153 1647
|
|
littlefield 601 29 13 23
|
|
littlejohn 123 38 8 8
|
|
littlepage 100 7 1 0
|
|
littleton 106 24 50 12
|
|
littrell 113 30 1 4
|
|
litvack 257 0 31 0
|
|
liu 1633 501 78 53
|
|
livengood 279 10 6 3
|
|
lives 1130 455 953 4074
|
|
livesay 122 7 0 0
|
|
livi 18 2 8 82
|
|
livingston 1175 139 99 376
|
|
livingstone 830 28 41 22
|
|
livnat 8 146 0 5
|
|
liz 18 652 25 39
|
|
liza 3 155 0 4
|
|
lizarazu 131 0 0 5
|
|
lizzie 0 312 3 3
|
|
ljubicic 1052 0 1 11
|
|
ljungberg 378 24 1 12
|
|
ljungqvist 152 0 4 2
|
|
ll 215 14 16 69
|
|
llanelli 5 1 4 289
|
|
llewellyn 389 24 6 4
|
|
lleyton 266 1 3 0
|
|
llodra 141 3 0 1
|
|
lloreda 203 1 0 1
|
|
lloyd 2982 275 52 72
|
|
lo 231 86 23 11
|
|
loaiza 2094 1 5 1
|
|
lobbyist 923 53 91 89
|
|
lobbyists 68 6 38 2780
|
|
lobiondo 137 2 0 0
|
|
lobo 71 73 11 1
|
|
lobsters 8 0 6 424
|
|
local 317 97 310 177
|
|
lochtefeld 4 196 0 0
|
|
lock 581 38 240 81
|
|
locke 1988 265 38 19
|
|
locker 104 6 89 15
|
|
lockerbie 124 3 5 3
|
|
lockett 176 28 2 2
|
|
lockhart 1092 142 46 28
|
|
locklear 172 104 4 4
|
|
lockwood 422 99 22 18
|
|
lockyer 2410 7 54 17
|
|
loder 100 8 3 2
|
|
lodhi 92 20 4 0
|
|
lodmell 1 409 0 2
|
|
loe 103 15 2 1
|
|
loeb 500 75 5 9
|
|
loebig 18 96 0 0
|
|
loewen 180 18 8 1
|
|
loewer 123 2 0 0
|
|
lofgren 55 245 2 1
|
|
loftin 130 49 2 3
|
|
loftis 74 15 0 13
|
|
lofton 1793 45 7 10
|
|
loftus 119 67 13 34
|
|
logan 1754 318 120 55
|
|
logger 116 0 6 3
|
|
loggins 86 26 1 3
|
|
logie 253 1 3 9
|
|
logiudice 119 1 1 0
|
|
logsdon 95 39 4 3
|
|
logue 97 51 5 3
|
|
loh 79 67 7 7
|
|
lohan 62 703 1 1
|
|
lohn 106 2 2 1
|
|
lohr 96 41 3 4
|
|
lohse 834 11 1 0
|
|
lohstroh 240 0 0 0
|
|
lois 20 209 4 10
|
|
loiseau 267 6 1 1
|
|
loiselle 137 8 0 0
|
|
loit 0 329 0 2
|
|
lola 6 240 18 26
|
|
lomali 116 0 0 0
|
|
lomax 178 30 3 4
|
|
lombard 201 58 15 10
|
|
lombardi 715 104 19 16
|
|
lombardo 215 43 9 4
|
|
lomu 814 9 7 0
|
|
lonard 927 0 2 2
|
|
londoner 304 35 0 2
|
|
londoners 12 0 7 672
|
|
londono 165 3 0 0
|
|
lone 102 5 1 2
|
|
loner 293 12 4 2
|
|
lonergan 89 24 7 6
|
|
loney 136 44 2 10
|
|
long 7919 951 300 371
|
|
longden 320 0 0 0
|
|
longest 350 3 150 113
|
|
longley 195 12 1 1
|
|
longo 1816 63 3 19
|
|
longoria 85 48 3 7
|
|
longshot 345 0 10 2
|
|
longstreth 116 11 2 2
|
|
longwell 357 10 0 2
|
|
lonhro 177 0 9 4
|
|
loo 73 38 2 2
|
|
looby 111 5 3 6
|
|
lookout 41 9 39 30
|
|
loomis 508 82 11 15
|
|
looney 183 46 4 3
|
|
looper 579 1 18 1
|
|
loos 150 669 13 23
|
|
looter 372 0 0 1
|
|
loper 123 99 2 0
|
|
lopes 318 59 5 50
|
|
lopez 8348 1511 133 144
|
|
lord 14327 373 604 395
|
|
lore 51 15 31 8
|
|
loren 54 67 3 2
|
|
lorenz 222 89 1 11
|
|
lorenzen 475 31 5 0
|
|
lorenzo 297 33 4 17
|
|
loretta 677 105 5 4
|
|
lori 58 1467 10 47
|
|
loria 574 7 2 1
|
|
lorna 4 125 2 9
|
|
lorraine 13 210 5 6
|
|
lortie 118 5 0 3
|
|
losman 735 0 4 1
|
|
losyukov 318 0 4 2
|
|
lott 17893 86 48 35
|
|
lottich 254 0 2 0
|
|
lotz 132 28 0 4
|
|
lou 335 52 8 11
|
|
loucks 81 30 3 4
|
|
loudon 42 56 6 1
|
|
loudspeakers 17 0 4 1637
|
|
louie 318 24 2 11
|
|
louis 879 61 75 31
|
|
louise 14 526 14 33
|
|
louisianians 1 0 0 139
|
|
love 4973 2190 2202 646
|
|
lovecchio 117 3 1 0
|
|
lovejoy 72 58 47 6
|
|
lovelace 342 61 19 6
|
|
loveland 65 14 23 7
|
|
loveless 131 59 3 2
|
|
lovell 594 100 12 23
|
|
loveman 121 0 3 2
|
|
lovenkrands 123 0 0 1
|
|
lover 598 348 30 71
|
|
loves 132 74 64 59
|
|
lovett 949 71 15 65
|
|
lovin 115 3 6 0
|
|
lowder 107 19 2 3
|
|
lowe 5574 372 193 68
|
|
lowell 2389 49 318 48
|
|
lowenstein 115 13 3 0
|
|
lowery 845 136 9 10
|
|
lowndes 75 3 19 5
|
|
lowrie 121 8 0 3
|
|
lowry 974 222 26 14
|
|
lowther 115 8 0 3
|
|
lowy 377 5 15 4
|
|
loy 460 37 11 27
|
|
loya 172 10 2 3
|
|
loyalist 1157 18 9 17
|
|
loyalists 229 2 31 3678
|
|
loyd 155 19 10 3
|
|
lozada 295 7 5 3
|
|
lozano 323 63 7 8
|
|
lsd 78 0 22 0
|
|
lt 98 5 3 6
|
|
lu 477 496 194 47
|
|
luallen 4 112 6 2
|
|
lualua 102 0 2 8
|
|
lubbers 253 9 2 6
|
|
lubick 339 0 2 4
|
|
lucado 107 3 0 0
|
|
lucan 228 9 1 1
|
|
lucas 5705 346 52 79
|
|
lucchino 322 1 2 5
|
|
luce 206 31 4 9
|
|
lucero 209 43 6 25
|
|
luchey 118 0 0 3
|
|
lucia 303 99 25 15
|
|
luciano 195 17 2 2
|
|
lucie 86 24 9 5
|
|
lucier 122 16 1 3
|
|
lucio 442 4 7 3
|
|
luckey 107 20 1 0
|
|
lucky 167 66 44 19
|
|
lucy 119 684 25 18
|
|
ludacris 179 0 2 1
|
|
ludlow 147 25 44 36
|
|
ludot 126 0 0 1
|
|
ludwick 239 6 1 1
|
|
ludwig 377 107 7 9
|
|
lue 295 3 6 1
|
|
luebke 132 7 0 1
|
|
lueders 132 8 0 3
|
|
lug 111 1 4 3
|
|
lugar 735 3 10 13
|
|
luginbill 102 1 0 3
|
|
lugo 1002 88 12 3
|
|
luis 391 16 4 9
|
|
lujan 163 36 1 8
|
|
lukas 773 29 2 6
|
|
lukashenko 544 1 2 3
|
|
luke 2378 78 89 38
|
|
luken 746 5 6 3
|
|
lukovic 209 2 0 4
|
|
lukowich 187 0 0 4
|
|
lula 1281 30 26 22
|
|
lulu 3 109 22 5
|
|
lum 79 43 6 3
|
|
luminaries 13 2 4 138
|
|
lumpkin 299 32 8 2
|
|
lumsden 108 9 1 3
|
|
luna 4310 150 53 36
|
|
lund 411 126 11 13
|
|
lundberg 104 164 5 10
|
|
lundell 113 4 0 0
|
|
lundgren 87 28 6 4
|
|
lundmark 124 4 1 1
|
|
lundquist 67 25 5 3
|
|
lundy 249 230 9 5
|
|
lung 119 26 61 15
|
|
lungren 159 6 1 2
|
|
lungs 87 24 65 617
|
|
lungu 11 110 0 1
|
|
lunke 1 1664 5 0
|
|
lunn 123 27 0 6
|
|
lunsford 585 56 7 16
|
|
lunt 146 17 2 1
|
|
luo 165 55 1 9
|
|
luol 105 0 0 0
|
|
luong 152 2 5 2
|
|
luongo 1212 4 3 3
|
|
lupica 96 8 0 0
|
|
lupo 88 32 5 7
|
|
lurie 191 15 1 6
|
|
lusk 160 65 2 3
|
|
lusman 238 3 0 1
|
|
lussier 129 15 0 1
|
|
luster 4843 42 56 7
|
|
luten 137 7 0 0
|
|
luther 488 76 28 18
|
|
luton 31 2 24 140
|
|
luttrell 130 27 6 1
|
|
lutz 558 74 15 31
|
|
lux 78 56 24 9
|
|
luxemburgo 165 0 1 1
|
|
luyendyk 269 0 0 0
|
|
ly 135 11 1 0
|
|
lyall 36 106 1 5
|
|
lyashenko 297 0 0 0
|
|
lydia 14 152 2 10
|
|
lydon 177 16 2 2
|
|
lye 114 4 7 3
|
|
lying 731 149 281 302
|
|
lyle 541 114 9 17
|
|
lyles 186 50 4 8
|
|
lyman 455 40 24 12
|
|
lyn 15 73 2 10
|
|
lynch 1790 2010 112 114
|
|
lynches 0 1 0 174
|
|
lynda 3 104 0 7
|
|
lyne 12 147 3 4
|
|
lynette 2 136 5 2
|
|
lyngdoh 139 2 8 2
|
|
lynn 948 765 107 191
|
|
lynne 52 317 1 8
|
|
lyon 707 188 203 622
|
|
lyons 2365 931 69 171
|
|
lyricist 321 4 1 1
|
|
lyrics 210 34 88 365
|
|
lytle 186 33 4 8
|
|
lyudmila 0 12 0 98
|
|
lyudyno 0 116 0 0
|
|
ma 1351 198 44 34
|
|
maali 146 2 0 2
|
|
maas 175 46 9 7
|
|
maasai 1 0 0 159
|
|
maathai 1 607 1 2
|
|
mabe 300 28 1 3
|
|
mabie 92 7 0 1
|
|
mabry 366 42 3 10
|
|
macaluso 89 6 2 5
|
|
macapagal 16 423 8 3
|
|
macarthur 147 140 89 12
|
|
macaulay 79 39 2 92
|
|
maccarone 105 0 1 0
|
|
macclesfield 11 2 7 102
|
|
macculloch 1319 1 0 0
|
|
macdonald 2163 481 67 78
|
|
macdougal 494 1 1 1
|
|
macdougall 168 22 4 1
|
|
macdowell 33 81 3 0
|
|
mace 240 34 50 8
|
|
macedo 528 19 0 13
|
|
macera 113 9 2 2
|
|
macey 162 26 0 3
|
|
macfarlane 425 53 40 10
|
|
macgill 731 1 3 14
|
|
macgregor 129 42 6 5
|
|
macha 1913 3 13 20
|
|
machado 474 80 4 5
|
|
machen 334 8 1 1
|
|
machinist 169 11 10 1
|
|
macias 280 47 4 14
|
|
macinnes 40 59 4 1
|
|
macinnis 207 44 7 2
|
|
macintosh 91 9 56 8
|
|
macintyre 89 10 4 5
|
|
mack 1918 311 72 36
|
|
mackay 1224 74 31 30
|
|
mackayala 0 137 0 0
|
|
mackenzie 722 254 43 21
|
|
mackerley 260 0 0 0
|
|
mackey 584 578 17 111
|
|
mackie 202 34 10 10
|
|
mackin 65 41 2 3
|
|
mackinnon 167 34 11 15
|
|
mackintosh 123 7 5 5
|
|
macklin 93 95 9 2
|
|
mackovic 667 0 16 5
|
|
mackowiak 500 0 2 0
|
|
mackris 59 1520 0 7
|
|
maclaine 2 173 0 0
|
|
maclean 769 66 14 21
|
|
macleish 709 5 5 35
|
|
maclennan 127 9 1 3
|
|
macleod 308 114 9 10
|
|
macmillan 225 133 15 8
|
|
macneil 86 38 2 3
|
|
macomber 80 12 13 4
|
|
macphail 98 59 6 1
|
|
macpherson 284 89 12 9
|
|
macrae 110 34 5 2
|
|
macri 108 6 1 0
|
|
mactavish 147 2 2 4
|
|
macy 443 86 15 6
|
|
madani 129 1 1 0
|
|
madden 507 55 34 20
|
|
maddock 111 14 7 0
|
|
maddon 103 1 0 0
|
|
maddox 6595 193 25 29
|
|
maddux 7714 16 20 10
|
|
maddy 50 101 2 2
|
|
madeline 0 138 0 3
|
|
mader 85 51 6 4
|
|
madera 60 26 15 1
|
|
madhumita 5 129 2 0
|
|
madiba 116 4 1 2
|
|
madigan 330 264 14 19
|
|
madman 160 1 4 1
|
|
madonna 90 5024 51 31
|
|
madrazo 126 1 0 0
|
|
madrigal 271 28 10 2
|
|
madritsch 133 0 1 1
|
|
madsen 658 84 9 14
|
|
madson 244 4 2 1
|
|
maduna 186 0 4 1
|
|
maduro 410 3 0 4
|
|
maes 102 46 3 1
|
|
maestas 106 21 2 2
|
|
maestri 101 3 0 1
|
|
maestro 520 4 24 7
|
|
magana 111 12 0 1
|
|
magath 145 3 2 1
|
|
magee 809 103 24 20
|
|
maggard 171 17 1 2
|
|
maggert 860 2 1 17
|
|
maggette 520 6 22 5
|
|
maggie 16 738 14 18
|
|
maggots 2 1 0 482
|
|
magician 373 3 5 6
|
|
magicians 4 0 1 268
|
|
magidson 268 0 0 3
|
|
magill 80 66 8 5
|
|
magistrate 2786 217 41 101
|
|
magistrates 200 52 20 812
|
|
maglad 191 0 0 0
|
|
maglione 121 8 0 11
|
|
magloire 653 0 0 0
|
|
magluta 102 0 0 0
|
|
magnani 117 11 2 1
|
|
magnate 524 9 13 3
|
|
magness 174 53 3 2
|
|
magnets 3 8 7 176
|
|
magnier 169 2 1 11
|
|
magnus 147 21 6 1
|
|
magnuson 354 33 0 2
|
|
magnusson 90 8 3 2
|
|
magowan 498 1 3 4
|
|
magpies 57 1 26 1263
|
|
magruder 559 9 19 5
|
|
magsi 175 0 0 0
|
|
maguire 1132 144 29 13
|
|
mah 91 18 3 1
|
|
mahaffey 125 31 4 4
|
|
mahajan 251 25 20 17
|
|
mahan 537 47 6 6
|
|
mahaney 109 31 2 2
|
|
mahannah 194 3 0 0
|
|
mahar 103 29 10 7
|
|
maharaj 475 7 8 5
|
|
maharey 99 3 8 4
|
|
mahathir 2781 1 71 64
|
|
mahdi 337 19 5 3
|
|
mahe 161 0 2 0
|
|
mahendra 113 0 2 1
|
|
maher 3046 107 22 33
|
|
mahjoub 107 0 0 0
|
|
mahlangu 90 36 1 7
|
|
mahler 239 97 17 1
|
|
mahmood 590 6 8 4
|
|
mahmoud 408 13 42 59
|
|
mahmud 918 7 2 15
|
|
mahon 285 100 6 8
|
|
mahoney 1373 270 37 34
|
|
mahony 757 12 2 26
|
|
mai 41 85 7 6
|
|
maiava 110 0 0 0
|
|
maid 46 1620 26 16
|
|
maiden 112 66 49 12
|
|
maidens 19 9 10 94
|
|
maier 1536 70 6 7
|
|
mailer 190 30 39 9
|
|
mailers 7 1 3 183
|
|
mailings 39 2 6 165
|
|
mailman 335 7 2 7
|
|
main 233 66 163 63
|
|
mainers 2 3 0 193
|
|
maines 37 803 23 22
|
|
mains 156 12 12 6
|
|
mair 154 16 7 7
|
|
maitha 169 1 3 6
|
|
maitland 98 11 30 12
|
|
majeed 125 6 0 0
|
|
majerus 2682 5 5 3
|
|
majesty 747 63 31 10
|
|
majette 3 334 1 2
|
|
majewski 121 10 1 2
|
|
majid 880 11 0 4
|
|
majola 109 5 0 1
|
|
major 2000 672 1544 444
|
|
majorities 66 1 4 1102
|
|
majors 269 28 98 2249
|
|
mak 81 10 8 9
|
|
makaay 169 0 3 0
|
|
makayla 1 165 0 3
|
|
makelele 281 0 5 14
|
|
makenzie 0 182 0 1
|
|
makhoul 130 1 0 0
|
|
makin 103 3 2 0
|
|
mako 7 100 4 0
|
|
makowski 119 9 1 5
|
|
malatsi 187 4 0 3
|
|
malawians 4 0 1 95
|
|
malaysian 119 16 2 18
|
|
malbranque 104 0 0 2
|
|
malchow 106 1 1 0
|
|
malcolm 812 93 31 19
|
|
maldini 151 0 0 2
|
|
maldonado 549 95 2 6
|
|
male 6891 79 118 100
|
|
maleeva 0 213 0 0
|
|
malek 134 9 1 3
|
|
malenchenko 952 0 1 2
|
|
maleng 451 0 0 1
|
|
males 56 37 23 3636
|
|
malhotra 288 19 13 5
|
|
malik 1740 76 29 32
|
|
malike 123 0 0 3
|
|
malin 99 12 2 2
|
|
malisse 250 0 2 0
|
|
malkiel 10 117 0 1
|
|
malkin 153 51 1 2
|
|
malkmus 170 1 0 0
|
|
mallard 344 767 14 65
|
|
mallett 202 22 4 5
|
|
mallette 50 141 0 0
|
|
mallon 93 2025 7 2
|
|
mallory 266 161 10 9
|
|
malloy 912 74 6 11
|
|
mallya 160 3 10 3
|
|
malone 15302 400 96 146
|
|
maloney 1170 230 34 31
|
|
maloof 281 4 7 4
|
|
maloy 161 30 2 3
|
|
malsom 1080 1 6 0
|
|
maltby 180 7 5 5
|
|
maltese 37 6 16 168
|
|
malthouse 321 1 13 8
|
|
malvo 24251 182 53 105
|
|
mama 45 494 27 22
|
|
mamere 140 0 2 0
|
|
mamiit 112 0 0 1
|
|
man 439733 4582 2868 3944
|
|
manager 119698 6545 4340 5014
|
|
manchin 310 1 2 2
|
|
mancini 541 58 4 10
|
|
mancuso 368 43 6 5
|
|
mandaric 293 0 1 1
|
|
mandarins 5 0 3 94
|
|
mandel 220 36 2 10
|
|
mandela 3700 64 25 24
|
|
mandell 187 30 10 14
|
|
mandella 407 7 2 2
|
|
mandelson 500 0 2 3
|
|
mandrell 119 5 1 1
|
|
mandy 20 214 4 12
|
|
maness 110 31 2 4
|
|
manfred 190 0 1 1
|
|
mangan 104 40 2 7
|
|
manger 138 7 20 11
|
|
mangino 754 0 10 15
|
|
mangold 115 21 0 1
|
|
mangum 165 14 4 3
|
|
mani 283 9 16 13
|
|
maniac 90 6 3 2
|
|
maniche 148 0 1 8
|
|
manilow 248 0 1 0
|
|
manipulator 134 3 4 1
|
|
mankamyer 2 2028 1 0
|
|
mankiw 863 0 1 8
|
|
manley 2394 83 33 15
|
|
mann 3146 441 42 64
|
|
manners 32 50 11 34
|
|
manning 16621 448 224 168
|
|
mannings 5 3 2 309
|
|
mannion 89 13 2 0
|
|
mannix 213 15 5 2
|
|
manny 419 75 14 3
|
|
manos 77 23 0 3
|
|
mansell 214 22 4 16
|
|
mansfield 533 87 150 171
|
|
mansingh 104 2 3 1
|
|
manslaughter 3470 18 30 3
|
|
manson 656 42 12 4
|
|
mansoor 264 1 1 0
|
|
mansour 279 20 10 7
|
|
mansur 109 3 1 12
|
|
mantei 306 0 0 0
|
|
mantilla 232 10 0 0
|
|
manu 125 4 8 4
|
|
manuel 2466 130 48 36
|
|
manville 63 9 52 12
|
|
many 3798 839 3526 148329
|
|
manzano 111 11 16 3
|
|
manzi 138 19 2 5
|
|
manzo 137 32 1 6
|
|
mao 380 15 4 4
|
|
maori 44 9 37 564
|
|
mapes 47 49 4 6
|
|
maple 173 18 19 20
|
|
maples 107 33 11 57
|
|
mapp 175 45 16 3
|
|
mara 450 56 21 11
|
|
maradona 3238 14 3 3
|
|
marais 222 18 5 9
|
|
maran 159 6 2 2
|
|
marano 30 71 1 1
|
|
marasco 80 17 1 2
|
|
marat 149 0 0 1
|
|
marbeck 40 400 1 4
|
|
marbury 3112 10 24 11
|
|
marc 784 8 29 17
|
|
marcel 179 7 1 9
|
|
marcello 98 2 1 5
|
|
marchand 214 39 3 4
|
|
marchant 285 32 3 3
|
|
marchenko 121 2 0 0
|
|
marchers 17 5 11 1868
|
|
marches 11 0 7 356
|
|
marchese 121 32 1 3
|
|
marchione 86 3 26 0
|
|
marchionne 133 0 1 1
|
|
marchment 158 0 0 0
|
|
marcia 5 162 3 9
|
|
marco 520 20 31 12
|
|
marcone 222 1 0 2
|
|
marcos 261 177 29 22
|
|
marcotte 116 15 2 2
|
|
marcoux 90 19 3 6
|
|
marcum 262 40 6 6
|
|
marcus 1886 175 110 50
|
|
marcy 53 61 8 7
|
|
mare 189 1212 38 13
|
|
marecek 101 0 0 0
|
|
marek 207 18 7 3
|
|
mares 451 23 8 67
|
|
margaret 29 2086 8 59
|
|
margarita 6 139 7 8
|
|
marge 6 308 4 5
|
|
margie 6 101 0 8
|
|
margolis 83 42 2 6
|
|
margrethe 0 100 0 0
|
|
maria 55 1485 24 43
|
|
mariah 1 137 2 3
|
|
mariani 123 48 1 1
|
|
marianne 1 198 0 4
|
|
mariano 659 34 4 9
|
|
marie 82 648 9 45
|
|
marilyn 15 364 4 17
|
|
marimo 206 0 3 6
|
|
marin 279 399 49 21
|
|
marine 9726 100 48 121
|
|
marinelli 99 19 2 2
|
|
mariners 286 3 94 6251
|
|
marines 384 38 255 39820
|
|
marinin 95 1 0 4
|
|
marino 2270 317 26 20
|
|
mario 1179 4 22 11
|
|
marion 695 344 337 95
|
|
maris 108 15 2 1
|
|
marisa 12 101 1 1
|
|
marissa 8 214 6 8
|
|
mariucci 4932 5 38 27
|
|
marjorie 6 163 0 7
|
|
mark 12818 373 765 414
|
|
markey 324 47 1 6
|
|
markham 326 59 27 7
|
|
markkanen 295 0 10 0
|
|
markle 151 14 2 5
|
|
markley 94 32 0 2
|
|
marko 169 6 2 9
|
|
markov 351 0 3 3
|
|
markowitz 65 85 4 2
|
|
marks 1260 393 224 3181
|
|
marksman 311 2 2 9
|
|
marksmen 4 0 1 163
|
|
markus 145 16 4 6
|
|
marla 2 117 4 5
|
|
marleau 1058 3 1 0
|
|
marlene 12 86 1 6
|
|
marler 198 13 0 3
|
|
marlet 114 17 1 4
|
|
marley 269 59 6 6
|
|
marlin 1449 32 29 21
|
|
marlinga 337 1 1 1
|
|
marlins 363 1 79 10191
|
|
marlon 364 1 5 7
|
|
marlow 119 83 14 41
|
|
marlowe 109 74 7 2
|
|
maroney 219 16 8 3
|
|
maroth 904 0 0 0
|
|
marotta 113 12 7 1
|
|
marquardt 105 40 6 2
|
|
marques 54 37 5 15
|
|
marquess 157 5 1 1
|
|
marquez 1414 98 15 40
|
|
marquis 1389 30 22 21
|
|
marr 302 37 9 15
|
|
marra 56 37 55 8
|
|
marrero 875 38 0 3
|
|
marriages 111 11 107 2730
|
|
marrow 53 18 35 1
|
|
marrs 119 15 3 3
|
|
marsalis 259 0 2 0
|
|
marsden 332 53 6 22
|
|
marsh 1666 264 868 90
|
|
marsha 5 114 3 4
|
|
marshal 1193 93 56 66
|
|
marshall 6878 1106 1420 295
|
|
marshals 168 66 47 1845
|
|
marston 120 17 2 9
|
|
marta 8 85 81 5
|
|
marte 160 4 1 1
|
|
martel 435 65 1 3
|
|
martell 174 39 11 8
|
|
martelli 1673 8 28 58
|
|
martens 252 83 5 11
|
|
martha 22 2461 33 24
|
|
marti 271 38 0 0
|
|
martin 42025 3467 623 620
|
|
martina 4 334 2 0
|
|
martinelli 81 21 2 2
|
|
martinez 24114 1573 112 243
|
|
martini 70 57 35 9
|
|
martinkus 111 1 0 0
|
|
martino 572 66 2 6
|
|
martins 301 34 10 171
|
|
martinson 118 25 1 2
|
|
martirosyan 114 2 1 0
|
|
marty 662 53 28 17
|
|
martyn 1338 36 28 11
|
|
martyr 622 23 6 11
|
|
martz 3803 826 64 24
|
|
martínez 131 20 2 6
|
|
maruyama 1227 2 4 5
|
|
marvin 449 63 12 21
|
|
marwan 404 0 4 0
|
|
marx 391 78 12 8
|
|
marxists 4 0 1 154
|
|
mary 143 3335 411 172
|
|
maryann 2 104 2 2
|
|
marzook 162 0 0 2
|
|
masada 710 2 1 2
|
|
masako 0 688 32 0
|
|
masback 238 3 2 0
|
|
mascara 112 3 10 4
|
|
mascarenas 113 5 0 0
|
|
mascot 205 38 176 33
|
|
mascots 6 0 2 220
|
|
mase 100 27 3 3
|
|
mash 67 5 29 8
|
|
mashaal 321 0 0 0
|
|
mashaba 434 0 3 7
|
|
mashal 172 0 0 2
|
|
mashburn 1966 19 1 7
|
|
mashud 131 0 1 2
|
|
masiello 250 14 7 2
|
|
mask 474 69 248 56
|
|
maskhadov 1106 0 3 0
|
|
mason 5003 738 151 158
|
|
masood 125 9 2 8
|
|
masri 219 24 3 4
|
|
masry 89 31 0 4
|
|
massa 148 13 4 2
|
|
massacres 17 0 8 128
|
|
masse 107 14 2 18
|
|
massenburg 139 2 0 0
|
|
massey 974 235 129 57
|
|
massie 302 91 7 7
|
|
massino 533 0 0 1
|
|
masson 86 10 3 1
|
|
massood 277 0 0 0
|
|
massu 661 0 0 0
|
|
mast 150 36 97 20
|
|
master 2794 49 150 74
|
|
mastermind 1502 6 12 12
|
|
masterpieces 5 0 4 127
|
|
masters 885 113 603 583
|
|
masterson 210 60 16 6
|
|
maswood 191 0 0 1
|
|
mat 106 13 75 16
|
|
mata 161 35 3 8
|
|
matalin 30 64 9 4
|
|
matalla 103 0 0 0
|
|
matari 175 0 0 0
|
|
matches 421 61 373 971
|
|
mate 753 65 46 45
|
|
mateo 585 18 5 20
|
|
mates 116 23 31 806
|
|
matfield 105 0 0 1
|
|
mathematician 98 11 3 2
|
|
matheny 790 28 4 6
|
|
mather 129 62 9 14
|
|
mathers 112 76 4 6
|
|
mathes 138 20 1 1
|
|
matheson 558 70 14 10
|
|
mathew 194 15 2 4
|
|
mathews 986 190 23 27
|
|
mathewson 175 24 3 2
|
|
mathias 285 28 2 12
|
|
mathieson 229 9 5 5
|
|
mathieu 547 11 3 20
|
|
mathis 1148 121 17 23
|
|
matisse 140 0 3 0
|
|
matley 125 0 0 0
|
|
matlock 182 29 4 46
|
|
matori 91 0 0 27
|
|
matos 669 38 6 2
|
|
matriarch 0 279 8 8
|
|
matricardi 356 5 0 0
|
|
mats 17 2 14 135
|
|
matsch 228 4 0 0
|
|
matson 147 68 72 10
|
|
matsui 7128 17 51 18
|
|
matsumoto 300 25 3 4
|
|
matsuura 230 4 1 2
|
|
matt 4340 31 64 110
|
|
matta 894 21 11 14
|
|
mattei 205 4 0 4
|
|
matteo 177 72 1 2
|
|
mattera 84 11 15 1
|
|
mattes 99 22 2 1
|
|
matteson 480 24 1 4
|
|
matthaeus 101 0 0 0
|
|
matthew 2165 190 53 60
|
|
matthews 4496 714 100 86
|
|
mattiace 1110 0 2 2
|
|
mattie 155 63 1 1
|
|
mattingly 1479 74 8 2
|
|
mattison 92 24 2 1
|
|
mattox 92 30 2 0
|
|
mattson 135 139 38 13
|
|
matty 154 9 5 1
|
|
maturi 332 3 1 2
|
|
matz 121 22 2 3
|
|
mauck 543 1 26 10
|
|
mauer 722 9 9 8
|
|
mauger 153 4 3 2
|
|
maughan 99 12 1 7
|
|
mauldin 684 49 20 3
|
|
maupin 697 15 5 4
|
|
maureen 9 323 6 11
|
|
maurer 269 90 2 16
|
|
mauresmo 0 5410 6 11
|
|
maurice 1056 12 10 8
|
|
mauro 284 94 4 6
|
|
mauser 107 6 4 3
|
|
maust 467 2 2 3
|
|
maven 125 159 10 3
|
|
maverick 143 21 101 26
|
|
mavericks 92 7 68 8089
|
|
mavis 73 200 1 4
|
|
mawae 173 1 0 0
|
|
max 1710 33 101 51
|
|
maxcey 337 1 2 0
|
|
maxey 89 23 5 5
|
|
maxfield 615 15 9 3
|
|
maxiell 186 0 8 0
|
|
maxine 2 159 4 13
|
|
maxwell 1530 309 139 29
|
|
may 10758 298 681 197
|
|
maya 43 237 32 12
|
|
mayans 292 1 1 25
|
|
mayawati 30 955 21 27
|
|
mayberry 341 37 6 3
|
|
maybin 110 5 0 1
|
|
mayer 1342 227 34 38
|
|
mayers 92 14 2 12
|
|
mayes 493 130 10 16
|
|
mayfield 4330 106 75 40
|
|
mayhew 243 38 6 9
|
|
maynard 790 155 33 20
|
|
maynor 52 46 2 0
|
|
maynulet 799 0 0 0
|
|
mayo 1750 117 77 317
|
|
mayor 87301 9125 1934 2025
|
|
mayorga 2066 1 7 2
|
|
mayors 65 6 45 2215
|
|
mayou 114 3 0 0
|
|
mays 2391 219 64 66
|
|
mayweather 1121 0 1 4
|
|
mazandarani 2 345 0 0
|
|
maze 386 16 67 13
|
|
mazel 259 14 0 0
|
|
mazen 383 0 1 7
|
|
mazey 138 0 0 0
|
|
mazur 113 22 1 9
|
|
mazurek 187 10 0 0
|
|
mazuz 504 2 5 1
|
|
mazza 173 33 4 4
|
|
mazzante 0 501 0 3
|
|
mazzarella 315 4 2 9
|
|
mazzilli 776 0 5 5
|
|
mazzone 298 4 0 1
|
|
mbe 194 51 6 1
|
|
mbeki 3169 26 72 69
|
|
mbete 3 106 7 0
|
|
mboma 99 0 3 4
|
|
mboweni 160 1 11 0
|
|
mcadam 69 11 5 24
|
|
mcadams 140 49 7 24
|
|
mcadoo 122 8 1 2
|
|
mcaleer 68 9 1 43
|
|
mcaleese 12 89 0 2
|
|
mcalister 502 19 9 5
|
|
mcallester 36 1 0 98
|
|
mcallister 1549 103 22 26
|
|
mcalpin 326 5 0 3
|
|
mcalpine 153 8 35 13
|
|
mcammond 197 0 0 0
|
|
mcanally 119 9 1 6
|
|
mcandrews 93 16 4 6
|
|
mcardle 209 26 4 3
|
|
mcarthur 596 41 23 13
|
|
mcateer 169 17 4 9
|
|
mcathy 100 0 0 0
|
|
mcauley 67 25 14 1
|
|
mcauliffe 1549 42 20 11
|
|
mcavoy 81 62 5 5
|
|
mcbee 48 48 1 4
|
|
mcbride 2507 316 78 50
|
|
mcbrien 273 1 3 1
|
|
mccabe 950 188 18 19
|
|
mccafferty 121 19 0 4
|
|
mccaffery 93 21 2 1
|
|
mccaffrey 620 41 14 10
|
|
mccain 9765 121 102 72
|
|
mccaleb 175 2 2 2
|
|
mccall 1854 150 26 21
|
|
mccallion 67 55 2 8
|
|
mccallister 109 10 3 0
|
|
mccallum 1045 50 24 14
|
|
mccambridge 18 286 4 0
|
|
mccandless 87 23 3 2
|
|
mccann 1118 265 38 55
|
|
mccants 947 9 11 34
|
|
mccardell 633 2 0 7
|
|
mccareins 307 0 0 9
|
|
mccarney 382 1 6 1
|
|
mccarrick 251 0 0 0
|
|
mccarroll 122 5 0 3
|
|
mccarron 305 18 4 4
|
|
mccartan 114 1 3 0
|
|
mccarter 332 49 13 10
|
|
mccarthy 3851 862 94 115
|
|
mccartney 2130 163 14 17
|
|
mccarty 1021 326 15 24
|
|
mccarville 20 651 7 3
|
|
mccaskey 113 3 7 3
|
|
mccaskill 153 846 6 13
|
|
mccauley 583 152 6 8
|
|
mccausland 104 9 47 7
|
|
mccaw 435 4 11 6
|
|
mcchesney 38 292 4 12
|
|
mcchrystal 166 6 8 6
|
|
mcclain 792 155 21 21
|
|
mcclanahan 53 67 1 4
|
|
mcclaren 725 6 11 32
|
|
mcclary 104 16 1 2
|
|
mcclay 93 4 4 2
|
|
mccleary 94 14 0 2
|
|
mcclellan 3832 113 237 87
|
|
mcclelland 592 101 10 18
|
|
mcclendon 1559 152 9 7
|
|
mcclenny 18 342 0 1
|
|
mccline 438 2 5 1
|
|
mcclintock 1956 35 24 13
|
|
mcclinton 153 4 1 1
|
|
mccloskey 504 29 10 7
|
|
mccloud 82 64 10 1
|
|
mcclung 197 36 6 8
|
|
mcclure 974 198 27 18
|
|
mccluskey 89 112 3 4
|
|
mcclymont 370 6 0 0
|
|
mccoll 115 19 3 2
|
|
mccollister 136 7 0 2
|
|
mccollum 769 186 19 19
|
|
mccomb 430 21 8 6
|
|
mccombs 871 35 11 10
|
|
mcconnell 2353 235 53 34
|
|
mcconneloug 0 111 0 0
|
|
mccool 364 106 5 13
|
|
mccord 647 75 8 12
|
|
mccorkle 116 29 0 4
|
|
mccormack 1415 183 15 18
|
|
mccormick 1297 362 249 22
|
|
mccorvey 57 460 2 2
|
|
mccotter 106 1 1 2
|
|
mccourt 843 22 13 11
|
|
mccown 1162 39 11 3
|
|
mccoy 5873 390 49 97
|
|
mccracken 564 99 9 4
|
|
mccrae 435 23 0 2
|
|
mccrary 272 64 4 5
|
|
mccray 320 62 5 6
|
|
mccrea 139 32 0 5
|
|
mccready 78 39 1 1
|
|
mccreevy 210 0 3 2
|
|
mccrery 114 0 0 0
|
|
mccrickard 116 1 0 0
|
|
mccrory 264 20 5 4
|
|
mccue 148 35 3 3
|
|
mccuen 12 125 0 2
|
|
mcculloch 299 163 5 16
|
|
mccullough 1098 166 15 20
|
|
mccullum 351 4 0 3
|
|
mccune 197 32 0 4
|
|
mccurdy 188 120 5 11
|
|
mccurry 298 13 1 3
|
|
mccusker 96 10 0 2
|
|
mccutchen 43 116 3 4
|
|
mccutcheon 340 53 15 3
|
|
mcdade 91 17 0 3
|
|
mcdaniel 1012 273 29 30
|
|
mcdaniels 214 33 3 7
|
|
mcdavid 215 7 0 0
|
|
mcdermott 1275 181 83 17
|
|
mcdevitt 125 25 29 4
|
|
mcdonagh 135 25 1 2
|
|
mcdonald 4046 812 159 112
|
|
mcdonnell 824 126 8 12
|
|
mcdonough 1290 147 19 17
|
|
mcdougal 126 145 3 8
|
|
mcdougall 149 33 3 5
|
|
mcdougle 387 4 3 4
|
|
mcdowell 1269 180 40 29
|
|
mcduffie 118 18 3 1
|
|
mcdyess 1281 5 5 4
|
|
mceachern 404 15 16 3
|
|
mcelhiney 14 240 0 1
|
|
mcelroy 687 90 7 15
|
|
mcelwee 93 4 3 3
|
|
mcenroe 1314 5 17 10
|
|
mcentee 414 16 2 2
|
|
mcentire 36 124 2 4
|
|
mcevoy 366 28 5 6
|
|
mcewan 262 11 5 6
|
|
mcewen 1005 34 12 12
|
|
mcewing 169 1 0 0
|
|
mcfadden 929 217 17 18
|
|
mcfadgon 113 0 1 0
|
|
mcfadyen 111 22 1 3
|
|
mcfall 186 35 5 4
|
|
mcfarland 777 141 34 20
|
|
mcfarlane 621 49 19 4
|
|
mcfarlin 147 21 1 2
|
|
mcferrin 126 9 1 0
|
|
mcg 75 0 69 6
|
|
mcgahee 4454 4 29 5
|
|
mcgann 119 32 2 0
|
|
mcgannon 118 0 0 0
|
|
mcgarry 165 49 1 8
|
|
mcgarvey 121 12 7 2
|
|
mcgauchie 99 0 1 3
|
|
mcgaughey 164 27 1 1
|
|
mcgee 1922 288 47 45
|
|
mcgeechan 180 0 6 5
|
|
mcgehee 138 28 1 4
|
|
mcghee 291 82 4 9
|
|
mcgill 503 447 47 24
|
|
mcgilligan 129 0 0 0
|
|
mcgillis 141 9 0 0
|
|
mcginest 377 0 4 1
|
|
mcginley 520 47 10 14
|
|
mcginn 105 76 2 7
|
|
mcginnis 1137 125 19 18
|
|
mcginty 247 66 3 4
|
|
mcgirt 173 1 1 4
|
|
mcgivern 82 16 1 1
|
|
mcglynn 196 17 5 3
|
|
mcgovern 1024 86 15 13
|
|
mcgowan 888 225 30 28
|
|
mcgown 24 92 1 2
|
|
mcgrady 7788 19 46 45
|
|
mcgrane 93 16 2 7
|
|
mcgrath 3366 225 55 52
|
|
mcgraw 2738 269 14 32
|
|
mcgreevey 14349 22 95 63
|
|
mcgregor 611 73 24 23
|
|
mcgrew 266 19 2 11
|
|
mcgriff 1543 24 4 0
|
|
mcgroarty 140 2 1 5
|
|
mcgrory 91 135 3 6
|
|
mcguigan 207 12 3 2
|
|
mcguinness 393 117 8 4
|
|
mcguinty 1280 3 49 13
|
|
mcguire 1679 279 33 51
|
|
mcgwire 1236 0 1 4
|
|
mchale 375 36 2 5
|
|
mchenry 537 37 25 14
|
|
mchugh 479 125 18 15
|
|
mcilroy 110 0 1 7
|
|
mcinerney 179 19 19 8
|
|
mcinnes 208 13 3 7
|
|
mcinnis 1325 26 11 13
|
|
mcintire 218 43 4 5
|
|
mcintosh 934 243 42 26
|
|
mcintyre 1072 207 16 41
|
|
mciver 96 56 1 3
|
|
mckay 2502 598 69 52
|
|
mckean 147 46 6 0
|
|
mckee 1090 280 22 33
|
|
mckeel 14 127 4 1
|
|
mckeever 148 37 4 6
|
|
mckeithen 224 3 0 4
|
|
mckelvey 229 21 7 2
|
|
mckenna 962 271 27 31
|
|
mckenney 84 23 1 2
|
|
mckenzie 3396 408 50 57
|
|
mckeon 2099 30 17 26
|
|
mckeown 201 81 0 2
|
|
mckevitt 465 16 3 1
|
|
mckibben 114 16 3 4
|
|
mckie 294 18 11 4
|
|
mckiernan 381 14 0 3
|
|
mckillop 104 6 0 2
|
|
mckim 84 16 6 0
|
|
mckinley 1247 108 98 22
|
|
mckinnell 102 3 2 2
|
|
mckinney 2044 548 124 69
|
|
mckinnie 172 9 5 1
|
|
mckinnon 609 61 13 14
|
|
mckinzie 22 99 1 1
|
|
mckissick 136 9 0 1
|
|
mcknight 672 117 8 20
|
|
mckown 84 17 6 1
|
|
mckoy 133 28 0 1
|
|
mcl 119 3 23 2
|
|
mclachlan 65 98 2 4
|
|
mclain 314 97 3 0
|
|
mclamb 204 10 0 1
|
|
mclane 343 29 66 2
|
|
mclaren 432 47 208 442
|
|
mclarty 334 13 0 0
|
|
mclaughlin 2591 372 27 44
|
|
mclaurin 108 27 4 2
|
|
mclean 1198 210 51 38
|
|
mcleish 1476 6 19 27
|
|
mclellan 177 414 48 7
|
|
mclemore 443 51 2 2
|
|
mclendon 533 22 10 0
|
|
mclennan 353 13 3 7
|
|
mcleod 884 253 48 27
|
|
mclinko 110 0 1 2
|
|
mcloughlin 390 25 5 5
|
|
mcmahan 104 117 6 5
|
|
mcmahon 1823 294 50 60
|
|
mcmanaman 277 3 7 1
|
|
mcmann 18 148 1 7
|
|
mcmanus 1125 176 16 53
|
|
mcmaster 400 38 46 12
|
|
mcmenamin 157 11 2 1
|
|
mcmichael 331 31 6 3
|
|
mcmillan 2038 217 21 32
|
|
mcmillen 92 41 0 2
|
|
mcmillian 103 30 0 3
|
|
mcmillin 163 11 11 4
|
|
mcmillon 174 11 0 1
|
|
mcmorris 72 62 2 6
|
|
mcmullan 301 28 5 3
|
|
mcmullen 411 70 4 11
|
|
mcmurray 2161 37 2 10
|
|
mcmurry 135 14 9 1
|
|
mcmurtrey 88 4 0 33
|
|
mcnabb 8705 46 32 81
|
|
mcnair 8439 85 46 28
|
|
mcnally 710 62 7 14
|
|
mcnamara 1710 144 22 29
|
|
mcnamee 252 18 15 15
|
|
mcnary 59 8 50 5
|
|
mcnaughton 140 32 7 5
|
|
mcneal 544 35 5 3
|
|
mcnealy 671 6 24 2
|
|
mcneely 165 34 3 2
|
|
mcneil 732 193 21 28
|
|
mcneill 640 89 8 19
|
|
mcneilly 112 15 5 1
|
|
mcnerney 113 4 5 2
|
|
mcnish 114 4 1 1
|
|
mcnulty 958 57 10 11
|
|
mcnutt 99 26 1 1
|
|
mcpeak 140 74 14 0
|
|
mcpeek 173 4 3 0
|
|
mcphail 104 62 2 6
|
|
mcphee 441 48 8 9
|
|
mcpherson 3361 245 56 39
|
|
mcquade 116 22 3 10
|
|
mcquaid 83 19 14 6
|
|
mcquarters 113 0 1 1
|
|
mcquay 74 26 4 0
|
|
mcqueen 254 57 14 10
|
|
mcquilken 354 1 3 0
|
|
mcrae 785 95 16 32
|
|
mcree 9 122 0 3
|
|
mcreynolds 217 21 4 1
|
|
mcshane 135 56 5 2
|
|
mcsorley 880 13 2 4
|
|
mcswain 209 24 5 2
|
|
mcsweeney 61 36 2 2
|
|
mcteer 222 7 0 2
|
|
mcvay 259 19 5 3
|
|
mcveigh 3139 70 20 40
|
|
mcvey 129 56 2 2
|
|
mcwatters 48 8 47 4
|
|
mcwhirter 256 3 0 3
|
|
mcwhorter 211 49 3 4
|
|
mcwilliams 719 79 11 14
|
|
md 231 10 115 42
|
|
mdladlana 106 0 6 2
|
|
meacham 98 19 1 5
|
|
meacher 98 1 6 1
|
|
mead 745 81 78 26
|
|
meade 211 69 20 15
|
|
meader 204 2 0 1
|
|
meadows 767 173 52 54
|
|
meagher 139 36 4 4
|
|
meantime 294 51 243 192
|
|
meares 16 93 0 2
|
|
mears 1594 53 15 13
|
|
measles 2 230 21 24
|
|
mechanic 2336 21 45 22
|
|
mechanics 116 6 102 1521
|
|
meche 874 3 5 3
|
|
mechenbier 235 0 2 0
|
|
meciar 458 0 8 0
|
|
mecir 219 0 0 0
|
|
medalist 1107 300 7 13
|
|
medallist 379 260 17 11
|
|
medallists 6 1 4 122
|
|
medals 334 146 116 535
|
|
medavoy 12 103 0 0
|
|
medeiros 330 57 4 4
|
|
medel 95 6 0 1
|
|
medford 94 22 79 26
|
|
medgyessy 232 2 2 0
|
|
mediator 838 14 52 71
|
|
mediators 47 1 30 1831
|
|
medic 976 34 10 15
|
|
medical 46 6 45 15
|
|
medications 34 81 77 2205
|
|
medics 240 48 24 1483
|
|
medina 915 300 63 44
|
|
medinger 171 2 1 3
|
|
medley 690 45 27 14
|
|
medlin 81 44 2 3
|
|
medlock 120 19 3 4
|
|
medrano 85 20 2 0
|
|
medvedenko 194 0 0 5
|
|
meehan 1022 63 9 20
|
|
meek 97 37 2 7
|
|
meeks 560 91 9 16
|
|
meenan 410 13 0 1
|
|
meester 320 29 1 0
|
|
meffan 118 0 0 0
|
|
meg 5 218 13 8
|
|
megan 10 996 21 23
|
|
megastar 117 19 6 8
|
|
megawati 32 2431 21 11
|
|
meghan 0 142 3 5
|
|
megson 784 3 5 26
|
|
mehalba 420 0 0 0
|
|
mehdi 150 5 26 5
|
|
mehlman 292 2 2 6
|
|
mehmood 91 1 1 8
|
|
mehrtens 214 4 3 4
|
|
mehsud 165 0 0 0
|
|
mehta 482 43 17 13
|
|
mei 16 46 42 6
|
|
meier 836 114 7 13
|
|
meigs 72 13 26 5
|
|
meili 0 342 2 0
|
|
meinert 9 104 1 1
|
|
meira 357 5 1 0
|
|
meirelles 411 0 1 1
|
|
meisner 115 19 2 9
|
|
meissnitzer 0 115 0 0
|
|
meister 151 26 1 4
|
|
meiwes 1639 0 4 0
|
|
mejia 4510 108 6 14
|
|
mel 617 74 55 11
|
|
melancon 428 8 1 1
|
|
melanie 16 530 4 29
|
|
melanson 54 53 2 10
|
|
melcher 171 6 3 1
|
|
meldrum 354 46 2 5
|
|
mele 91 17 8 3
|
|
melendez 270 94 3 8
|
|
meles 117 0 3 2
|
|
melhuse 161 0 2 0
|
|
melillo 220 5 0 0
|
|
melinda 4 113 4 7
|
|
melis 131 6 1 0
|
|
melissa 27 1116 12 60
|
|
mellanby 166 2 0 1
|
|
mellberg 126 3 1 2
|
|
mellini 1 134 0 0
|
|
mello 2538 57 6 10
|
|
mellor 251 63 5 13
|
|
melnick 132 17 5 7
|
|
melnikoff 129 0 0 4
|
|
melnyk 376 14 7 7
|
|
melo 236 30 8 5
|
|
melodies 18 17 14 126
|
|
meloy 93 20 2 0
|
|
meltdown 311 0 45 10
|
|
melton 801 161 11 34
|
|
meltzer 164 20 4 4
|
|
melvill 1107 1 116 0
|
|
melville 1385 5 11 52
|
|
melvin 3131 138 21 48
|
|
melzer 279 19 2 2
|
|
member 36313 3839 2204 3020
|
|
mementos 163 4 0 14
|
|
memmel 0 108 0 0
|
|
memories 356 157 219 638
|
|
memos 38 9 28 1958
|
|
men 3300 1061 1479 169083
|
|
menard 500 153 15 17
|
|
mench 330 0 1 0
|
|
mendelsohn 116 10 1 1
|
|
mendelson 84 18 6 1
|
|
mendenhall 344 71 4 7
|
|
mendes 200 73 2 3
|
|
mendez 441 267 3 28
|
|
mendieta 105 25 3 0
|
|
mendiola 46 162 1 2
|
|
mendoza 1111 241 17 45
|
|
menechino 149 0 1 1
|
|
menem 1574 0 1 11
|
|
menendez 301 21 10 6
|
|
menezes 338 4 1 3
|
|
meng 208 24 0 7
|
|
mengacci 129 2 0 0
|
|
menino 1477 2 5 13
|
|
menon 253 30 4 2
|
|
mentor 2105 85 247 47
|
|
mentz 130 3 0 0
|
|
menzies 275 98 17 19
|
|
meola 210 1 0 3
|
|
mercado 290 55 15 10
|
|
mercenaries 20 0 16 805
|
|
mercenary 103 2 0 1
|
|
mercer 1224 177 322 52
|
|
merchant 619 104 358 149
|
|
mercier 154 62 4 20
|
|
mercker 326 0 0 12
|
|
merckx 110 0 0 0
|
|
mercuri 58 40 3 0
|
|
mercurio 74 27 2 5
|
|
meredith 438 306 64 33
|
|
merel 170 0 1 0
|
|
merhan 101 0 0 0
|
|
merino 28 105 12 12
|
|
merkel 94 125 9 13
|
|
merlin 52 27 22 4
|
|
merlino 118 11 3 0
|
|
merloni 220 6 13 0
|
|
merrick 145 32 11 6
|
|
merriman 169 27 2 5
|
|
merrin 215 3 1 0
|
|
merritt 715 223 24 25
|
|
merriweather 105 14 4 0
|
|
merry 111 40 5 7
|
|
merseysiders 4 0 0 113
|
|
merson 304 2 5 4
|
|
mertens 81 25 1 1
|
|
mertz 199 39 4 2
|
|
merwe 196 55 7 34
|
|
merwin 118 27 1 9
|
|
mesa 1339 54 383 23
|
|
mesereau 1716 13 16 7
|
|
meserve 118 5 1 0
|
|
meshkin 112 0 0 0
|
|
mesi 938 0 6 3
|
|
messages 228 89 214 9988
|
|
messenger 217 28 175 36
|
|
messengers 6 2 4 214
|
|
messer 411 40 8 16
|
|
messersmith 222 5 0 1
|
|
messiah 60 7 41 5
|
|
messier 3359 16 5 4
|
|
messina 189 83 17 75
|
|
messing 2 206 0 0
|
|
messner 78 243 1 5
|
|
metayer 278 4 1 0
|
|
metcalf 460 91 2 12
|
|
metcalfe 239 27 3 10
|
|
meteorologist 155 10 27 7
|
|
meters 156 50 137 226
|
|
methodists 3 0 0 164
|
|
metros 75 0 5 195
|
|
mets 661 0 92 11604
|
|
metts 77 67 0 8
|
|
metz 385 88 93 72
|
|
metzger 489 84 9 29
|
|
metzler 134 43 6 5
|
|
mexican 304 23 13 22
|
|
mexicans 47 2 15 2991
|
|
meyde 100 0 0 4
|
|
meyer 7308 625 123 111
|
|
meyers 1226 312 28 90
|
|
meza 134 19 2 2
|
|
mezvinsky 390 0 0 0
|
|
mfume 911 0 1 10
|
|
mia 26 599 71 7
|
|
miandad 471 0 5 9
|
|
mica 412 10 12 3
|
|
micah 87 32 3 2
|
|
micale 141 1 0 4
|
|
miceli 195 6 4 2
|
|
micevic 160 1 0 1
|
|
michael 14068 251 184 216
|
|
michaela 2 130 2 2
|
|
michaels 941 109 94 31
|
|
michaelson 254 25 7 16
|
|
michalak 180 11 1 2
|
|
michalesko 174 0 0 0
|
|
michaud 376 57 6 4
|
|
micheel 2255 0 35 10
|
|
michel 712 155 14 21
|
|
michelangelo 116 4 4 5
|
|
michele 52 215 2 13
|
|
michelle 72 2191 34 115
|
|
michels 483 35 10 13
|
|
michelson 224 5 2 3
|
|
mick 875 19 24 20
|
|
mickel 139 16 1 1
|
|
mickelson 17543 30 58 98
|
|
mickens 224 7 1 2
|
|
mickey 649 36 21 14
|
|
microbiologist 218 13 1 3
|
|
microphones 11 0 6 210
|
|
middlebrooks 90 15 1 0
|
|
middleman 89 1 7 3
|
|
middleton 936 134 68 47
|
|
middleweight 397 1 0 1
|
|
midfielder 8749 177 61 88
|
|
midfielders 6 2 4 155
|
|
midgett 161 17 0 0
|
|
midgley 145 3 3 7
|
|
midler 5 103 0 2
|
|
midnight 97 24 74 102
|
|
mido 108 0 6 0
|
|
midpoint 144 0 50 3
|
|
midwife 9 165 5 6
|
|
mielke 98 20 1 2
|
|
mientkiewicz 1115 1 4 7
|
|
mifsud 124 9 2 4
|
|
migliore 105 6 3 3
|
|
mignano 4 132 0 1
|
|
migrant 100 6 2 4
|
|
miguel 560 24 5 11
|
|
mihajlovic 109 1 0 4
|
|
mihm 189 2 0 1
|
|
mijailovic 1408 3 13 0
|
|
mikael 155 1 0 0
|
|
mikaelian 2 99 0 0
|
|
mike 8205 60 168 189
|
|
mikelsons 110 0 2 1
|
|
mikey 282 8 8 3
|
|
mikhail 187 11 1 2
|
|
mikulski 9 275 2 6
|
|
milam 204 26 1 20
|
|
milano 110 17 11 7
|
|
milbrandt 51 74 1 2
|
|
milbrett 1 148 1 0
|
|
milburn 503 45 13 7
|
|
milbury 281 3 3 2
|
|
mildred 15 306 12 20
|
|
miles 3774 696 2302 1336
|
|
milestones 113 1 32 59
|
|
miley 575 23 6 16
|
|
milicic 926 4 90 1
|
|
militant 6513 26 104 101
|
|
militants 822 10 417 54500
|
|
militiaman 400 1 2 7
|
|
militiamen 14 2 10 5786
|
|
millar 3419 82 36 25
|
|
millard 256 89 22 8
|
|
millen 1184 26 11 27
|
|
miller 41998 5923 849 700
|
|
millet 92 7 3 3
|
|
millette 561 17 2 6
|
|
millican 129 10 6 2
|
|
millie 11 212 14 13
|
|
milligan 316 77 35 18
|
|
milliken 184 44 15 6
|
|
millionaire 2038 45 64 13
|
|
milloy 1379 12 7 2
|
|
mills 4788 835 421 428
|
|
millward 129 4 0 10
|
|
millwood 2754 2 51 10
|
|
milne 372 97 18 42
|
|
milner 404 54 14 12
|
|
milosevic 10999 22 25 11
|
|
milosz 163 0 2 0
|
|
milstein 387 38 4 32
|
|
milton 2026 129 95 36
|
|
milunovich 121 0 1 0
|
|
milutinovic 935 0 1 0
|
|
mimi 9 125 11 5
|
|
mims 259 65 8 9
|
|
min 155 45 4 4
|
|
minard 148 1 1 1
|
|
minaya 1406 0 11 12
|
|
minder 408 9 9 4
|
|
mindy 4 100 1 4
|
|
mineau 105 2 1 0
|
|
miner 878 110 800 50
|
|
mineshaft 398 1 3 1
|
|
mineta 404 13 41 16
|
|
ming 60 38 4 3
|
|
minghella 100 1 0 0
|
|
minibuses 1 0 0 182
|
|
minimum 150 17 132 161
|
|
minion 11 133 3 0
|
|
minions 14 4 5 173
|
|
minister 151555 8874 4472 3782
|
|
mink 546 51 9 19
|
|
minnelli 15 1056 2 5
|
|
minner 60 544 4 3
|
|
minnesotans 13 1 7 540
|
|
minnis 123 113 3 1
|
|
minnix 101 2 0 0
|
|
minogue 22 214 1 4
|
|
minor 1434 290 59 67
|
|
minors 56 8 32 2857
|
|
minster 90 7 21 5
|
|
minter 643 31 6 9
|
|
minton 131 57 4 7
|
|
mintz 372 33 8 7
|
|
minute 710 182 592 500
|
|
minutemen 19 1 7 668
|
|
minutes 4061 937 3422 3502
|
|
mir 153 5 33 0
|
|
mirabella 4 156 7 0
|
|
mirabelli 293 1 3 4
|
|
miranda 1255 374 21 30
|
|
miree 199 0 0 1
|
|
mirer 365 0 0 0
|
|
miresmaeili 234 0 0 0
|
|
miriam 9 235 7 4
|
|
mirnyi 308 0 0 23
|
|
mironov 307 14 1 2
|
|
mirren 0 105 0 5
|
|
mirrors 16 1 9 308
|
|
mirza 160 51 1 2
|
|
misamore 296 2 14 1
|
|
miscik 5 88 7 0
|
|
miscreants 16 2 4 153
|
|
miscues 37 0 26 41
|
|
misfit 99 2 3 1
|
|
misfits 8 0 3 122
|
|
mishap 49 7 37 13
|
|
mishkin 80 19 6 0
|
|
mishra 323 22 16 31
|
|
misjudgment 115 1 3 2
|
|
missionary 638 62 10 12
|
|
mississippian 442 2 0 3
|
|
mississippians 3 0 0 212
|
|
missourians 6 2 5 304
|
|
missteps 351 1 18 13
|
|
missus 1 110 1 4
|
|
missy 7 199 4 11
|
|
mista 140 1 1 4
|
|
mistreatment 705 5 23 5
|
|
mistress 54 817 13 8
|
|
mistry 128 4 3 3
|
|
misty 3 142 4 4
|
|
mitch 429 10 14 11
|
|
mitchell 15546 1923 243 343
|
|
mitchelson 439 2 0 0
|
|
mitigation 89 2 41 7
|
|
mitman 168 2 4 1
|
|
mitnick 501 17 0 0
|
|
mitra 95 14 10 8
|
|
mitre 152 0 7 1
|
|
mittal 403 6 25 10
|
|
mittie 126 1 0 2
|
|
mittleman 165 4 1 2
|
|
mitzna 2486 0 20 14
|
|
miura 162 7 2 1
|
|
mixon 338 75 10 7
|
|
miyamoto 81 14 3 3
|
|
miyasato 312 1 0 0
|
|
mize 185 25 5 8
|
|
mizell 374 21 1 1
|
|
mizoguchi 118 2 1 1
|
|
mizrahi 90 5 17 4
|
|
mj 158 25 10 3
|
|
mla 188 11 20 12
|
|
mladic 457 0 2 0
|
|
mladin 155 1 2 0
|
|
mlas 12 2 8 497
|
|
mm 103 9 48 15
|
|
mo 659 55 35 10
|
|
moats 150 8 3 5
|
|
moberg 147 9 3 2
|
|
moberly 81 11 64 64
|
|
mobilio 186 1 0 1
|
|
mobley 971 118 19 7
|
|
mobs 9 1 2 867
|
|
mobster 398 2 9 2
|
|
moby 290 0 3 4
|
|
mock 513 56 2 12
|
|
modano 1018 0 13 2
|
|
modell 370 3 7 1
|
|
moderate 1632 16 24 23
|
|
moderator 489 32 18 29
|
|
modher 163 0 0 3
|
|
modi 889 3 40 32
|
|
modica 121 8 1 2
|
|
modigliani 191 1 5 0
|
|
modin 411 4 0 4
|
|
modry 128 0 0 0
|
|
moe 462 39 67 20
|
|
moellemann 197 0 0 0
|
|
moeller 420 43 45 11
|
|
moen 145 34 5 2
|
|
moeser 240 2 3 1
|
|
mofaz 1726 0 43 9
|
|
moffat 212 29 6 10
|
|
moffatt 166 17 3 4
|
|
moffett 337 31 10 11
|
|
moffitt 283 29 6 5
|
|
mogae 314 2 15 11
|
|
mogilny 563 0 3 1
|
|
moglia 170 0 0 0
|
|
mogul 1274 74 20 10
|
|
mohamad 335 4 3 11
|
|
mohamed 962 44 8 16
|
|
mohammad 700 4 0 6
|
|
mohammed 10985 63 74 54
|
|
mohan 143 21 6 3
|
|
mohaqeq 191 0 0 0
|
|
mohl 177 3 21 6
|
|
mohler 180 9 9 3
|
|
mohn 87 8 0 5
|
|
mohr 811 77 14 7
|
|
mohsen 366 3 1 2
|
|
moi 1494 11 14 20
|
|
moin 145 2 0 1
|
|
moir 100 47 5 2
|
|
moises 118 1 1 1
|
|
moiseyev 201 0 16 0
|
|
mokoena 111 7 7 10
|
|
mole 622 22 50 5
|
|
molefe 85 20 2 4
|
|
moles 43 5 1 53
|
|
molestation 2073 2 50 11
|
|
molester 98 3 1 3
|
|
molesters 4 0 0 246
|
|
molik 0 833 2 5
|
|
molina 1593 272 44 33
|
|
molinaro 225 11 9 1
|
|
moline 75 5 25 3
|
|
molitor 1615 2 1 12
|
|
moll 150 41 15 5
|
|
moller 185 34 20 36
|
|
mollis 99 0 1 2
|
|
molloy 366 41 18 8
|
|
molly 19 729 11 20
|
|
molnar 140 27 2 1
|
|
moloney 140 64 5 2
|
|
mom 847 10583 277 409
|
|
momah 145 1 0 0
|
|
moments 971 247 521 873
|
|
momma 21 100 1 3
|
|
mommy 37 271 6 5
|
|
mona 94 183 11 19
|
|
monaghan 503 37 22 78
|
|
monahan 317 77 6 17
|
|
monarch 388 260 96 22
|
|
moncoutie 139 0 0 0
|
|
moncrief 162 71 4 4
|
|
mondale 873 2 1 3
|
|
mondesi 4010 0 5 17
|
|
mondestin 0 152 0 0
|
|
mondragon 329 4 7 9
|
|
monet 93 9 25 2
|
|
moneymaker 429 2 10 0
|
|
monfils 216 1 0 0
|
|
mongia 106 1 1 0
|
|
mongiardo 765 0 1 1
|
|
monica 81 585 10 29
|
|
monique 8 244 2 8
|
|
moniz 130 21 2 2
|
|
monk 1150 65 76 17
|
|
monkey 247 22 187 23
|
|
monkhouse 131 10 0 0
|
|
monks 76 10 25 1375
|
|
monroe 1488 241 230 81
|
|
monson 397 84 5 11
|
|
montador 113 0 1 0
|
|
montague 163 156 33 15
|
|
montalbano 240 9 2 0
|
|
montanans 13 1 5 270
|
|
montano 110 92 2 5
|
|
montazeri 394 1 0 2
|
|
monte 169 16 11 2
|
|
monteiro 97 40 2 1
|
|
montemayor 174 15 2 3
|
|
montero 159 29 9 3
|
|
montes 196 41 1 8
|
|
montesinos 573 1 0 1
|
|
montezemolo 299 0 8 2
|
|
montgomerie 3581 2 13 11
|
|
montgomery 9141 1259 298 218
|
|
monti 1479 18 21 3
|
|
montoya 2566 124 14 26
|
|
montross 169 2 0 0
|
|
monty 948 9 23 9
|
|
monzon 219 4 0 3
|
|
moodie 201 58 1 3
|
|
moodley 135 10 0 0
|
|
moody 492 106 30 15
|
|
moolman 130 1 2 3
|
|
moon 2340 204 514 76
|
|
mooney 841 154 75 51
|
|
moonves 588 2 48 13
|
|
moorad 371 0 29 1
|
|
moore 33373 3692 529 419
|
|
moorehead 178 19 0 3
|
|
moorer 203 14 0 1
|
|
moores 495 19 10 92
|
|
moorhead 98 25 55 6
|
|
moorman 152 10 0 1
|
|
moorsel 0 168 0 0
|
|
moos 90 27 0 1
|
|
moosa 106 4 3 7
|
|
moose 980 33 197 519
|
|
moqtada 1145 0 3 9
|
|
mora 3407 73 25 13
|
|
moraes 118 5 2 2
|
|
morales 3020 329 18 79
|
|
moran 2748 373 23 53
|
|
morandais 138 0 0 0
|
|
morano 143 22 6 3
|
|
moratinos 350 0 3 0
|
|
morchio 216 0 1 1
|
|
mordarsky 455 11 0 0
|
|
mordecai 134 0 0 1
|
|
moreau 609 27 7 9
|
|
morecambe 7 0 6 99
|
|
morehead 104 43 40 11
|
|
morehouse 100 30 39 3
|
|
morel 164 18 1 3
|
|
moreland 276 62 8 4
|
|
morell 97 6 3 0
|
|
morelli 262 27 4 3
|
|
morency 240 2 0 1
|
|
moreno 2254 216 25 34
|
|
moretti 119 20 1 0
|
|
morey 125 35 3 4
|
|
morgan 9899 1563 450 231
|
|
morganelli 250 0 1 1
|
|
morgen 7 101 1 0
|
|
morgenstern 136 59 5 1
|
|
morgenthau 408 14 2 19
|
|
mori 338 28 31 8
|
|
morial 137 0 2 2
|
|
moriarty 376 61 18 12
|
|
morientes 352 0 9 2
|
|
morin 356 98 5 17
|
|
morissette 35 234 2 2
|
|
moritz 71 53 1 4
|
|
morkel 138 5 1 0
|
|
morley 464 109 39 20
|
|
morlino 100 0 1 0
|
|
mormon 181 4 3 1
|
|
morneau 458 10 1 4
|
|
mornhinweg 495 0 1 4
|
|
morning 2117 590 1323 1376
|
|
moroccan 1144 4 3 12
|
|
moron 154 2 8 2
|
|
moroney 188 5 1 3
|
|
morozov 247 4 3 0
|
|
morphonios 2 102 0 0
|
|
morrell 377 56 16 4
|
|
morrill 224 18 2 9
|
|
morris 10838 1433 210 286
|
|
morrises 1 0 0 100
|
|
morrison 3418 728 364 147
|
|
morriss 961 3 3 4
|
|
morrissey 466 332 12 16
|
|
morrogh 142 0 0 0
|
|
morrow 1354 210 43 31
|
|
morse 1855 179 64 16
|
|
mort 134 3 0 2
|
|
mortazavi 153 1 0 2
|
|
mortem 58 32 16 2
|
|
mortensen 479 28 5 22
|
|
mortimer 314 54 3 5
|
|
mortlock 176 6 6 0
|
|
morton 1969 294 90 120
|
|
morvillo 1104 5 10 7
|
|
mosby 131 41 5 2
|
|
moscoso 17 349 0 0
|
|
mose 117 25 4 3
|
|
mosed 108 0 0 0
|
|
moseley 491 98 8 75
|
|
moser 477 119 16 28
|
|
moses 1482 144 39 26
|
|
mosher 246 49 8 8
|
|
mosholder 328 0 0 0
|
|
mosier 102 15 2 9
|
|
moskowitz 186 80 1 5
|
|
mosley 4974 118 27 65
|
|
moss 6600 402 126 70
|
|
mota 810 14 3 3
|
|
motassadeq 2230 0 2 24
|
|
mote 210 8 9 5
|
|
mother 7510 122454 903 2766
|
|
motherhood 0 269 42 9
|
|
moths 3 1 0 177
|
|
motivator 151 7 24 5
|
|
motive 323 107 306 93
|
|
motley 110 38 4 5
|
|
moton 83 24 1 14
|
|
motorcyclist 1017 18 7 6
|
|
motorist 2945 432 33 198
|
|
mott 370 54 28 11
|
|
motta 86 18 1 4
|
|
mottola 186 2 0 0
|
|
mottram 128 1 1 1
|
|
motz 543 10 3 0
|
|
moulds 339 2 2 3
|
|
moulton 179 75 13 7
|
|
moultrie 91 12 7 1
|
|
mounce 122 16 1 1
|
|
mound 454 16 154 51
|
|
mounir 524 0 0 0
|
|
mount 241 126 165 51
|
|
mountaineer 266 1 54 2
|
|
mounts 63 19 5 14
|
|
mourinho 2825 0 18 29
|
|
mourner 93 26 2 1
|
|
mourners 66 112 45 4069
|
|
mourning 5644 2 57 23
|
|
mousa 123 4 0 2
|
|
mousavian 237 0 0 0
|
|
moussa 629 8 69 5
|
|
moussaoui 8668 5 2 40
|
|
mouth 318 193 261 44
|
|
mouton 455 11 16 2
|
|
movements 160 33 98 2098
|
|
movers 10 26 16 106
|
|
moviegoers 8 1 6 960
|
|
mowbray 241 8 15 5
|
|
mower 74 12 64 9
|
|
mowhoush 257 0 0 0
|
|
moxley 148 36 1 12
|
|
moxon 201 1 0 2
|
|
moya 3496 21 4 17
|
|
moye 219 30 2 6
|
|
moyer 2003 196 20 14
|
|
moyers 415 15 1 11
|
|
moyes 1333 2 11 33
|
|
moylan 485 50 5 31
|
|
moynihan 874 19 3 5
|
|
moyo 357 33 15 20
|
|
moza 2 349 0 1
|
|
mozart 202 0 8 5
|
|
mp 2468 355 109 154
|
|
mri 8725 84 148 16
|
|
mris 122 0 13 14
|
|
msp 69 32 31 19
|
|
mswati 233 0 0 3
|
|
mtshali 97 3 4 5
|
|
mua 138 0 22 2
|
|
mubarak 3079 7 13 24
|
|
muckler 175 0 1 10
|
|
mudbugs 4 0 0 125
|
|
mudd 265 28 14 3
|
|
mudge 164 14 2 5
|
|
mudzuri 100 2 0 0
|
|
muehlegg 105 0 0 0
|
|
muehleisen 131 0 0 0
|
|
mueller 3661 232 84 42
|
|
mufti 267 17 14 9
|
|
mugabe 6209 15 54 45
|
|
mugar 132 0 1 1
|
|
mughayer 106 0 0 0
|
|
muhammad 21556 103 46 103
|
|
muhhamad 610 0 0 0
|
|
muhyiddin 102 0 7 12
|
|
mui 12 177 20 2
|
|
muir 355 149 29 36
|
|
muirhead 100 10 2 5
|
|
mujahid 279 2 0 1
|
|
mukasey 270 0 0 3
|
|
mukesh 341 2 7 5
|
|
mukherjee 346 28 38 14
|
|
mukhlas 431 1 4 3
|
|
mulally 149 0 1 0
|
|
mularkey 1155 0 4 9
|
|
mulayam 158 2 4 2
|
|
mulcahey 299 3 0 1
|
|
mulcahy 206 103 16 5
|
|
mulder 3486 49 11 6
|
|
muldoon 143 16 2 1
|
|
muldowney 26 119 1 1
|
|
mulee 166 0 5 13
|
|
mules 11 7 10 464
|
|
mulford 86 15 3 3
|
|
mulhall 21 336 3 4
|
|
mulheren 99 0 0 1
|
|
mulhern 140 7 0 13
|
|
mulholland 506 29 5 10
|
|
mulkerrin 4 97 0 0
|
|
mull 232 31 4 3
|
|
mullah 116 0 3 0
|
|
mullally 38 77 2 2
|
|
mullan 160 32 5 0
|
|
mullaney 139 11 2 5
|
|
mullen 861 169 85 23
|
|
muller 918 155 10 19
|
|
mulligan 350 90 19 16
|
|
mullin 1250 55 7 8
|
|
mullinax 109 16 0 0
|
|
mullins 1027 236 17 28
|
|
mullis 110 16 1 2
|
|
mulroney 375 7 4 7
|
|
mulrooney 279 2 0 4
|
|
multihomer 914 0 0 78
|
|
multimillionaire 797 9 0 1
|
|
multitudes 3 0 1 133
|
|
multiyear 81 0 17 5
|
|
muluzi 514 0 11 7
|
|
mulvaney 139 16 5 2
|
|
mulvey 74 20 4 2
|
|
mum 152 1888 71 81
|
|
mumba 191 10 5 8
|
|
mumford 168 21 6 0
|
|
mumme 114 1 0 0
|
|
muna 152 28 2 8
|
|
munce 94 2 6 0
|
|
munch 128 5 4 1
|
|
munchinski 107 1 1 0
|
|
munday 50 48 5 8
|
|
mundine 590 3 3 1
|
|
mundt 142 24 5 1
|
|
mundy 221 59 5 15
|
|
munger 96 20 1 3
|
|
mungro 142 0 0 0
|
|
muni 117 2 25 7
|
|
munir 175 0 4 3
|
|
munitions 18 1 15 1132
|
|
muniz 184 22 3 0
|
|
munn 93 44 1 3
|
|
munoz 591 142 7 21
|
|
munro 717 99 11 24
|
|
munroe 52 42 6 4
|
|
munson 837 86 18 26
|
|
munster 106 4 56 407
|
|
muqtada 6243 0 2 2
|
|
murad 148 9 2 13
|
|
muraleedharan 145 0 3 4
|
|
murali 759 9 3 11
|
|
muralitharan 3281 0 7 23
|
|
murano 9 93 7 3
|
|
murat 243 1 2 0
|
|
murder 5895 285 534 427
|
|
murderer 1802 48 5 17
|
|
murderers 12 1 5 1723
|
|
murders 86 4 47 445
|
|
murdoch 2322 47 69 26
|
|
murdock 464 53 9 1
|
|
murillo 130 51 0 2
|
|
muris 168 0 1 2
|
|
murkowski 1398 554 34 20
|
|
murphy 12714 2068 277 270
|
|
murr 55 49 5 3
|
|
murray 8634 1664 226 165
|
|
murrell 173 54 2 5
|
|
murry 85 24 2 3
|
|
murtagh 135 6 6 2
|
|
murtha 385 13 4 6
|
|
murthy 155 10 8 27
|
|
musa 436 6 39 38
|
|
muscaro 619 0 0 0
|
|
muscat 156 6 110 22
|
|
muscle 1244 136 384 75
|
|
muse 337 68 51 30
|
|
museveni 1052 11 10 30
|
|
musgrave 242 227 59 8
|
|
musgrove 1201 26 9 8
|
|
musharraf 17198 5 151 132
|
|
musher 236 9 1 3
|
|
mushers 7 1 4 252
|
|
mushtaq 148 0 1 6
|
|
mushwana 180 0 8 13
|
|
musial 138 2 1 1
|
|
musician 3048 187 48 63
|
|
musicians 128 19 69 5799
|
|
muskie 12 89 15 1
|
|
muslim 8415 51 104 246
|
|
musselman 1028 30 31 8
|
|
musser 123 25 2 3
|
|
mussina 3073 0 13 0
|
|
mussolini 66 41 5 6
|
|
mustache 660 1 9 0
|
|
mustafa 648 16 4 73
|
|
mustard 64 10 48 5
|
|
muster 158 2 33 21
|
|
mutebutsi 161 0 0 0
|
|
muth 136 24 2 3
|
|
mutharika 307 0 3 1
|
|
mutineers 15 0 1 644
|
|
mutis 250 0 0 0
|
|
mutlaq 106 0 0 0
|
|
mutola 0 166 0 3
|
|
mutombo 1978 0 4 5
|
|
mutu 1641 3 1 5
|
|
muzhakhoyeva 0 179 0 0
|
|
muñoz 109 62 2 5
|
|
mvp 4085 95 44 16
|
|
mwanawasa 653 5 22 12
|
|
mwangi 140 4 5 13
|
|
mydans 220 0 0 0
|
|
myears 223 14 0 0
|
|
myers 7627 894 145 238
|
|
myles 549 82 5 12
|
|
mylott 259 5 5 1
|
|
myrick 121 88 0 3
|
|
myskina 0 2597 10 56
|
|
mysteries 13 2 12 176
|
|
mystikal 142 0 0 1
|
|
mzoudi 1152 2 2 18
|
|
nabers 109 8 0 3
|
|
nabisco 0 118 17 1
|
|
nablus 99 3 28 36
|
|
nabokov 2188 10 7 0
|
|
nabors 796 24 48 11
|
|
nacchio 254 0 2 1
|
|
nachbar 133 1 1 0
|
|
nachman 122 4 0 0
|
|
nacho 107 0 3 0
|
|
nadal 523 4 1 3
|
|
nadeau 1436 79 9 7
|
|
nader 12428 33 77 102
|
|
nadia 9 360 1 4
|
|
nadine 4 138 10 2
|
|
nadir 105 4 2 1
|
|
nadler 131 6 0 3
|
|
nady 225 2 0 0
|
|
naffe 0 126 0 0
|
|
nagano 206 1 3 0
|
|
nagel 166 84 8 9
|
|
nageotte 170 1 2 0
|
|
nagin 728 1 5 4
|
|
nagle 158 128 4 5
|
|
nagy 574 110 2 2
|
|
naidoo 106 25 9 15
|
|
naidu 1236 19 69 62
|
|
naifeh 104 26 0 1
|
|
naik 234 17 11 11
|
|
nail 500 46 198 130
|
|
nailers 18 0 2 180
|
|
nailon 242 0 1 0
|
|
nails 78 23 37 106
|
|
naimi 943 0 9 3
|
|
naimoli 221 0 3 1
|
|
nair 167 152 19 18
|
|
najada 169 0 0 0
|
|
najera 334 13 0 1
|
|
najib 419 1 25 29
|
|
nakagawa 117 26 1 3
|
|
nakahara 119 1 0 1
|
|
nakamura 546 47 8 12
|
|
nakata 139 1 1 1
|
|
nakhla 131 0 0 0
|
|
nalbandian 1959 8 2 16
|
|
nall 184 21 5 6
|
|
namath 657 4 1 3
|
|
name 8036 2318 7156 1534
|
|
namesake 85 55 69 7
|
|
nan 30 54 18 5
|
|
nana 65 60 3 5
|
|
nance 364 100 15 8
|
|
nancy 57 1855 21 87
|
|
nanda 124 8 2 5
|
|
nanny 165 287 61 8
|
|
nanos 251 0 5 27
|
|
nanotubes 1 0 0 326
|
|
naomi 17 264 10 7
|
|
napier 274 78 25 25
|
|
napkins 5 0 3 94
|
|
napoleon 646 6 46 8
|
|
napoli 168 6 12 18
|
|
napolitano 135 1387 18 26
|
|
naqib 203 0 2 0
|
|
naqvi 88 6 14 6
|
|
naranjo 230 17 1 0
|
|
narcissist 145 1 0 1
|
|
nardelli 520 2 11 10
|
|
nare 96 3 1 0
|
|
narrator 473 76 14 14
|
|
naruhito 284 15 1 0
|
|
nas 154 2 38 5
|
|
naseer 183 0 1 0
|
|
nash 4786 269 44 38
|
|
nasir 139 2 3 4
|
|
naslund 1312 14 8 4
|
|
nason 139 13 3 1
|
|
nasrallah 349 4 2 2
|
|
nasreen 0 115 14 0
|
|
nassan 117 0 0 0
|
|
nasser 887 25 7 7
|
|
nasso 298 2 0 0
|
|
nastase 361 1 1 2
|
|
nat 65 33 34 8
|
|
natale 139 24 1 3
|
|
natalia 4 110 1 6
|
|
natalie 19 677 11 34
|
|
natasha 6 393 1 11
|
|
nate 502 3 13 12
|
|
nath 121 7 6 2
|
|
nathalie 3 131 5 5
|
|
nathan 2161 87 24 41
|
|
nathaniel 230 8 0 7
|
|
nathanson 82 27 4 3
|
|
nationalist 89 2 8 3
|
|
nationality 53 15 50 52
|
|
native 19680 3397 136 116
|
|
natonski 317 0 0 1
|
|
natsios 404 11 6 8
|
|
naude 129 1 1 2
|
|
naughton 582 42 9 2
|
|
naugle 114 8 0 5
|
|
naujoks 122 19 1 0
|
|
nault 104 5 3 1
|
|
nava 105 44 2 3
|
|
navarre 683 3 55 6
|
|
navarro 1022 143 73 60
|
|
nave 139 42 4 7
|
|
navies 12 0 1 90
|
|
navigator 46 4 40 10
|
|
navratilova 20 4807 4 11
|
|
nawaz 94 2 12 6
|
|
nawrocki 91 12 0 0
|
|
naxalites 7 1 2 139
|
|
nayan 279 0 0 8
|
|
nayef 738 0 2 16
|
|
naylan 0 103 1 0
|
|
naylor 311 149 11 6
|
|
naysayers 26 7 14 195
|
|
nazar 111 1 0 3
|
|
nazarbayev 279 0 2 13
|
|
nazario 73 26 3 7
|
|
nazi 133 1 2 0
|
|
nazis 33 31 20 1161
|
|
ncube 161 11 22 5
|
|
ndebele 99 8 6 12
|
|
ndereba 1 174 0 0
|
|
ndlovu 295 12 2 12
|
|
ndou 99 1 1 0
|
|
neagle 797 2 4 3
|
|
neal 1739 300 36 32
|
|
neale 92 42 9 5
|
|
neary 324 21 7 5
|
|
nebraskans 6 1 2 113
|
|
neck 1237 371 237 67
|
|
ned 322 15 54 11
|
|
nedney 801 0 2 2
|
|
nedved 688 0 4 9
|
|
nee 221 6 3 5
|
|
needham 147 55 113 23
|
|
needles 58 9 44 367
|
|
neel 322 14 4 19
|
|
neeleman 103 0 5 1
|
|
neeley 84 82 1 5
|
|
neely 502 157 9 10
|
|
neeson 145 4 2 1
|
|
neethling 122 0 10 11
|
|
neff 671 90 25 15
|
|
negotiator 2466 42 57 73
|
|
negotiators 165 5 102 6720
|
|
negro 364 3 10 2
|
|
negron 157 74 1 8
|
|
negroponte 1416 0 32 8
|
|
nehls 206 2 4 6
|
|
nehra 353 1 2 3
|
|
nehru 163 1 3 0
|
|
neidl 194 0 8 0
|
|
neidrich 119 0 0 2
|
|
neighbor 5405 4700 491 632
|
|
neighbors 1375 732 471 25159
|
|
neighbour 1037 794 150 137
|
|
neighbours 275 162 96 3428
|
|
neil 1475 40 23 31
|
|
neill 475 84 13 9
|
|
neilson 599 83 10 8
|
|
neither 1677 245 1047 2819
|
|
nel 279 21 13 8
|
|
nell 44 66 1 2
|
|
nellie 115 93 6 5
|
|
nelly 885 28 9 4
|
|
nelms 122 24 0 5
|
|
nelsen 127 13 3 0
|
|
nelson 19952 2208 263 303
|
|
nelsons 2 0 1 125
|
|
nemechek 1260 2 6 0
|
|
nemesis 85 22 79 89
|
|
nemeth 139 28 3 0
|
|
nemo 326 1 28 21
|
|
nemov 313 0 0 0
|
|
nen 647 0 4 3
|
|
nene 549 12 2 5
|
|
neo 201 9 27 6
|
|
neocons 10 0 4 231
|
|
neophyte 169 51 2 0
|
|
nephew 3943 93 18 57
|
|
nephews 16 11 1 378
|
|
neptune 602 6 57 31
|
|
neri 240 6 10 1
|
|
nero 180 15 16 1
|
|
nerves 193 57 74 235
|
|
nesbit 73 28 6 2
|
|
nesbitt 294 39 7 12
|
|
nesfield 94 6 0 1
|
|
nesler 491 5 0 5
|
|
nesmith 88 18 3 3
|
|
ness 255 77 88 4
|
|
nessen 226 13 0 1
|
|
nesterenko 3 155 0 0
|
|
nesterovic 395 0 3 1
|
|
nestor 327 13 20 4
|
|
netanyahu 4096 7 41 39
|
|
nethercutt 568 13 8 3
|
|
netminder 602 14 7 1
|
|
nets 246 5 143 15616
|
|
nettles 379 54 6 13
|
|
neu 147 12 8 3
|
|
neubauer 71 27 3 3
|
|
neuberger 87 8 17 4
|
|
neubert 123 9 0 0
|
|
neufeld 95 29 1 1
|
|
neugebauer 196 1 1 1
|
|
neuheisel 6429 0 17 11
|
|
neulander 977 4 0 0
|
|
neuman 102 40 4 9
|
|
neumann 215 136 25 11
|
|
neurologist 495 28 6 10
|
|
neurologists 6 9 4 122
|
|
neurosurgeon 427 18 4 9
|
|
neurosurgeons 1 4 2 268
|
|
nevels 60 38 0 3
|
|
neves 77 49 3 6
|
|
neville 842 57 19 23
|
|
nevin 1747 24 9 10
|
|
nevins 81 34 4 3
|
|
nevzlin 129 0 0 3
|
|
newberry 505 33 43 17
|
|
newble 171 0 6 0
|
|
newbury 75 15 26 37
|
|
newby 521 32 7 3
|
|
newcomb 403 62 2 6
|
|
newcombe 96 7 1 0
|
|
newcomer 1211 257 102 22
|
|
newdow 2673 40 6 7
|
|
newell 941 233 157 32
|
|
newhan 335 0 0 0
|
|
newhart 114 2 0 1
|
|
newhouse 114 30 0 3
|
|
newkirk 63 58 5 9
|
|
newland 89 39 10 7
|
|
newlin 73 27 6 2
|
|
newlywed 50 164 4 3
|
|
newlyweds 19 9 11 780
|
|
newman 9577 601 121 99
|
|
newmark 122 1 1 0
|
|
newscaster 90 11 1 2
|
|
newscasters 69 0 3 121
|
|
newscasts 9 1 1 126
|
|
newsmakers 1 0 0 153
|
|
newsman 377 0 2 4
|
|
newsmen 42 6 8 55
|
|
newsom 4194 51 31 16
|
|
newsome 568 65 20 27
|
|
newson 319 11 4 4
|
|
newspapers 484 60 373 7568
|
|
newton 2637 412 297 127
|
|
ney 487 3 2 6
|
|
ng 392 215 52 31
|
|
ngcuka 787 2 6 7
|
|
ngige 347 0 10 7
|
|
ngilu 2 115 1 6
|
|
ngugi 94 7 0 2
|
|
nguyen 915 266 10 17
|
|
nic 80 25 50 8
|
|
nicaraguan 103 1 0 1
|
|
nichol 92 84 2 4
|
|
nicholas 1824 206 29 34
|
|
nicholls 419 68 35 14
|
|
nichols 10283 788 128 81
|
|
nicholson 2537 277 45 56
|
|
nick 2933 60 114 60
|
|
nickels 618 17 6 31
|
|
nickerson 367 82 12 15
|
|
nicklaus 5195 2 18 10
|
|
nickles 1522 7 22 3
|
|
nickname 1922 49 136 21
|
|
nicknames 8 1 7 134
|
|
nicky 326 56 18 13
|
|
nico 126 2 11 2
|
|
nicol 452 139 6 8
|
|
nicola 26 183 10 15
|
|
nicolaisen 107 7 0 8
|
|
nicolas 361 6 6 2
|
|
nicole 21 1254 11 44
|
|
nicoletti 105 2 29 1
|
|
nicosia 67 8 27 6
|
|
niece 104 1610 24 29
|
|
nieces 7 4 4 141
|
|
niederer 4 306 1 1
|
|
niedermayer 724 3 4 3
|
|
niedermeier 10 142 2 0
|
|
niehaus 86 11 3 6
|
|
nielsen 874 181 516 82
|
|
nielson 230 51 6 5
|
|
niemann 182 31 2 4
|
|
niemeyer 173 9 5 5
|
|
niemi 179 14 2 1
|
|
nieminen 652 2 1 1
|
|
niemira 634 1 0 1
|
|
nienhuis 132 4 0 1
|
|
nieto 120 22 2 1
|
|
nieuwendyk 960 0 1 2
|
|
nieuwoudt 107 0 1 7
|
|
nieves 115 48 1 3
|
|
nigel 411 3 6 11
|
|
nigerian 502 9 11 19
|
|
night 5608 1022 3456 4911
|
|
nightingale 67 88 10 1
|
|
nights 177 69 134 221
|
|
nightstick 229 1 5 0
|
|
niittymaki 238 0 2 1
|
|
nikbakht 165 0 13 0
|
|
niki 11 160 4 4
|
|
nikki 27 308 4 31
|
|
nikolai 225 0 2 1
|
|
nikolaidis 116 0 0 1
|
|
nikolic 784 3 4 11
|
|
niles 253 19 52 24
|
|
nilsmark 0 110 0 0
|
|
nilson 539 13 0 28
|
|
nilsson 209 41 2 7
|
|
nimoy 116 0 0 0
|
|
nina 14 321 16 10
|
|
nine 881 185 836 23274
|
|
niners 16 2 11 1130
|
|
ninth 61140 112 163 130
|
|
nirapathpongporn 0 254 0 0
|
|
nirschl 0 211 0 0
|
|
nisbet 216 7 7 3
|
|
nissen 263 26 5 4
|
|
nistelrooy 2008 0 4 35
|
|
nitschke 443 7 8 5
|
|
nitties 110 0 1 4
|
|
nitze 164 0 0 9
|
|
nix 1149 90 16 5
|
|
nixon 6944 391 48 63
|
|
niyazov 396 2 1 1
|
|
niznansky 292 0 0 0
|
|
nkosi 82 11 2 17
|
|
nkunda 673 0 0 2
|
|
no 2737 530 2622 2347
|
|
noa 173 15 7 0
|
|
noad 122 2 0 1
|
|
noah 563 39 21 8
|
|
noam 117 0 0 0
|
|
nobel 59 5 52 64
|
|
noble 1666 232 151 81
|
|
nobles 166 24 13 39
|
|
noboa 297 0 0 0
|
|
nobody 2366 341 1073 12447
|
|
noe 182 145 9 4
|
|
noel 1001 159 17 14
|
|
noelle 11 96 1 2
|
|
noguchi 80 42 4 1
|
|
nohr 1 393 0 0
|
|
nolan 2041 342 29 40
|
|
noland 159 48 3 7
|
|
nolen 110 91 3 5
|
|
noles 31 2 7 131
|
|
nolin 98 13 1 1
|
|
noll 249 43 35 5
|
|
nolly 195 1 1 0
|
|
nolte 476 29 8 2
|
|
nomar 309 0 7 3
|
|
nominations 101 7 83 343
|
|
nominee 6878 235 106 93
|
|
nominees 41 3 30 2765
|
|
nomo 986 0 1 2
|
|
noncitizens 0 2 0 119
|
|
none 1932 321 1749 16327
|
|
nonu 137 0 1 17
|
|
noon 84 45 40 34
|
|
noonan 533 107 8 13
|
|
noone 61 22 6 26
|
|
noor 49 148 4 2
|
|
nora 14 224 5 11
|
|
norcross 116 14 39 8
|
|
nord 236 30 11 6
|
|
nordahl 315 3 0 0
|
|
nordegren 1 214 0 1
|
|
nordman 120 2 0 1
|
|
nordmark 134 1 0 0
|
|
noriega 563 37 3 28
|
|
norm 303 7 113 26
|
|
norma 8 216 7 6
|
|
norman 3503 297 123 59
|
|
noronen 218 0 4 0
|
|
norquist 436 2 6 26
|
|
norris 2508 378 55 66
|
|
northcutt 604 16 5 3
|
|
northrup 151 21 4 0
|
|
northup 11 279 0 5
|
|
norton 1236 977 154 91
|
|
norville 21 75 3 2
|
|
norwegian 400 21 25 26
|
|
norwood 775 99 153 23
|
|
noshin 0 151 0 0
|
|
notables 2 1 0 130
|
|
notari 28 86 0 5
|
|
notch 81 11 71 31
|
|
notebaert 85 0 5 26
|
|
noteholders 0 13 9 326
|
|
nottingham 88 32 40 77
|
|
nottinghamshire 12 2 8 161
|
|
notts 22 8 11 253
|
|
novak 3020 166 18 54
|
|
novelist 694 97 5 12
|
|
novelli 210 4 2 0
|
|
novels 34 20 25 364
|
|
novice 400 15 6 16
|
|
novices 5 0 3 343
|
|
novitzky 137 0 0 0
|
|
novo 287 2 20 3
|
|
novoselic 114 0 0 0
|
|
novotny 130 21 1 4
|
|
nowak 368 56 6 9
|
|
nowicki 212 29 3 2
|
|
nowitzki 3968 0 9 7
|
|
nowlan 107 6 0 1
|
|
noyes 108 38 6 2
|
|
nris 1 0 0 131
|
|
nsaids 2 0 1 104
|
|
ntini 463 1 1 0
|
|
nucifora 188 0 1 8
|
|
nuciforo 111 0 1 3
|
|
nugent 1251 104 30 16
|
|
nuggets 130 1 44 4835
|
|
nujoma 284 1 4 1
|
|
numan 144 0 1 0
|
|
numminen 211 0 1 0
|
|
nun 23 1209 6 16
|
|
nunes 393 24 11 13
|
|
nunez 1324 147 13 14
|
|
nunley 100 23 25 1
|
|
nunn 963 80 13 8
|
|
nurhasyim 277 0 0 1
|
|
nuri 141 0 3 4
|
|
nurminen 790 1 1 2
|
|
nurse 814 6148 95 268
|
|
nurses 127 135 118 6649
|
|
nusbaum 75 35 3 1
|
|
nush 28 252 3 20
|
|
nuss 233 8 1 4
|
|
nussbaum 95 105 3 4
|
|
nusseibeh 193 1 0 1
|
|
nussle 580 0 6 1
|
|
nutritionist 64 24 6 10
|
|
nutt 1840 39 14 31
|
|
nuttall 105 16 6 4
|
|
nutter 213 34 6 6
|
|
nuxhall 216 0 0 0
|
|
nuñez 118 11 3 2
|
|
nwankwo 108 0 2 0
|
|
nyachae 111 1 5 7
|
|
nyce 417 16 12 3
|
|
nye 414 54 1 10
|
|
nygren 61 35 1 4
|
|
nylander 625 0 5 1
|
|
nymphs 0 1 0 196
|
|
nyquist 132 5 2 7
|
|
nystrom 134 45 2 1
|
|
nzeribe 116 0 2 0
|
|
o 121 14 90 60
|
|
oakes 245 59 5 6
|
|
oakley 672 102 60 18
|
|
oaks 107 44 29 205
|
|
oates 1945 76 7 17
|
|
obama 3603 14 22 8
|
|
obasanjo 3597 5 51 78
|
|
obe 281 41 7 0
|
|
obeid 286 2 7 14
|
|
obeidi 686 2 5 18
|
|
oben 123 2 0 1
|
|
ober 85 18 1 0
|
|
oberg 159 18 7 1
|
|
oberholser 393 0 1 2
|
|
oberholzer 128 5 1 11
|
|
obermueller 282 0 0 1
|
|
oberoi 377 2 4 20
|
|
oberstar 90 10 1 10
|
|
oberweis 176 0 11 2
|
|
oberwetter 270 0 15 0
|
|
obiang 364 0 0 8
|
|
obituary 78 28 27 3
|
|
objector 165 2 3 4
|
|
oblon 109 0 1 0
|
|
observer 528 71 380 81
|
|
observers 1025 140 793 7091
|
|
obstetrician 213 28 4 4
|
|
obus 1176 2 3 9
|
|
obuya 99 0 0 2
|
|
ocalan 133 0 7 3
|
|
ocampo 144 34 0 10
|
|
occasions 234 38 216 177
|
|
occupant 449 91 22 46
|
|
occupants 34 10 31 2164
|
|
occupier 306 2 19 16
|
|
occupiers 11 0 4 2030
|
|
ochoa 406 362 15 19
|
|
ochs 329 29 4 4
|
|
octogenarians 0 1 0 218
|
|
odai 2743 0 1 5
|
|
odb 529 1 1 0
|
|
oddsmakers 82 11 2 86
|
|
oddsson 124 0 8 0
|
|
odeh 173 1 0 0
|
|
odell 134 236 7 36
|
|
oden 194 16 4 1
|
|
odierno 1216 0 14 7
|
|
odighizuwa 299 1 0 1
|
|
odinga 168 4 8 9
|
|
odom 3131 131 53 71
|
|
odumbe 281 0 0 5
|
|
oei 440 4 5 4
|
|
offences 47 12 41 357
|
|
offender 2874 82 64 264
|
|
offenses 44 6 29 1992
|
|
officals 9 2 1 124
|
|
officeholder 89 7 0 8
|
|
officer 68827 5416 1333 3167
|
|
officers 5944 1443 1200 88063
|
|
official 69135 2908 5887 4994
|
|
officials 22692 5338 20232 620039
|
|
offseason 412 5 137 72
|
|
offspring 44 19 37 770
|
|
offutt 33 95 0 1
|
|
ogan 177 5 5 1
|
|
ogawa 224 12 2 2
|
|
ogden 661 133 65 22
|
|
ogilvie 511 17 5 5
|
|
ogilvy 332 3 31 2
|
|
oglesby 85 23 4 1
|
|
ogletree 146 7 0 12
|
|
ogre 114 1 5 1
|
|
ogunleye 731 0 7 1
|
|
oh 297 86 98 84
|
|
ohioan 156 3 0 2
|
|
ohka 447 0 0 1
|
|
ohlde 2 236 4 1
|
|
ohlund 121 0 0 0
|
|
ohno 196 2 0 1
|
|
oilman 268 0 3 0
|
|
oj 153 0 6 5
|
|
ojeda 295 21 1 3
|
|
ojha 105 0 0 1
|
|
ojukwu 115 1 5 2
|
|
okada 161 3 6 6
|
|
okafor 5369 11 9 14
|
|
okamoto 189 6 1 2
|
|
okayo 0 259 0 0
|
|
okazaki 128 5 5 1
|
|
okeafor 189 0 0 3
|
|
oken 411 7 1 1
|
|
okeson 160 1 0 1
|
|
oklahoman 75 5 24 5
|
|
okocha 574 0 1 10
|
|
okonkwo 207 8 0 1
|
|
okopnyi 268 0 0 0
|
|
okur 381 0 3 0
|
|
ol 393 0 9 11
|
|
olajuwon 508 0 0 0
|
|
olazabal 526 0 0 7
|
|
olbermann 159 0 1 1
|
|
olczyk 521 0 5 4
|
|
older 47 19 29 38
|
|
oldfield 154 39 5 11
|
|
oldham 213 38 35 238
|
|
olds 91 78 62 252
|
|
ole 474 4 48 13
|
|
olerud 1651 0 18 12
|
|
olexander 102 0 0 0
|
|
olga 4 164 6 7
|
|
olguin 64 26 1 11
|
|
olinger 96 13 1 1
|
|
oliphant 185 1103 8 24
|
|
olis 552 2 0 5
|
|
oliu 196 0 1 0
|
|
oliva 173 33 2 7
|
|
olivares 130 22 4 4
|
|
olivas 92 30 1 7
|
|
olive 84 55 28 39
|
|
oliveira 312 49 4 4
|
|
oliver 3554 396 89 61
|
|
olivia 21 384 24 14
|
|
olivier 362 59 6 9
|
|
olivo 456 23 2 5
|
|
oliwa 115 0 0 0
|
|
oller 122 7 0 1
|
|
ollie 445 7 10 4
|
|
ollila 146 0 3 1
|
|
olmert 1272 0 50 14
|
|
olmstead 109 39 1 4
|
|
olmsted 136 9 2 0
|
|
olney 84 23 24 53
|
|
olonga 429 0 4 6
|
|
olowokandi 459 0 2 3
|
|
olsen 2132 309 28 42
|
|
olshansky 191 8 0 2
|
|
olson 5202 1065 95 116
|
|
olsson 143 10 5 3
|
|
olszewski 223 48 1 0
|
|
olver 170 6 4 1
|
|
olympian 231 149 19 5
|
|
omar 1909 32 12 24
|
|
omarosa 3 102 6 6
|
|
ombudsman 250 103 152 22
|
|
omori 129 3 0 4
|
|
omran 125 3 0 0
|
|
onal 195 0 4 0
|
|
onassis 5 102 1 0
|
|
oncologist 245 38 4 9
|
|
one 80306 19564 71413 41172
|
|
ong 603 141 41 46
|
|
onlooker 175 15 2 10
|
|
onlookers 45 26 12 1338
|
|
ono 128 228 18 7
|
|
onorato 454 2 5 3
|
|
onstad 157 4 2 1
|
|
ont 229 49 112 32
|
|
onyia 142 2 0 0
|
|
opal 1 151 20 0
|
|
opdenhoff 97 1 4 1
|
|
opener 5881 19 270 107
|
|
openers 35 0 15 299
|
|
operative 2059 24 28 16
|
|
operatives 63 6 22 3905
|
|
ophthalmologists 1 0 0 101
|
|
ople 468 4 3 8
|
|
oppenheim 115 10 13 2
|
|
oppenheimer 108 14 67 4
|
|
opponent 13351 757 1229 607
|
|
opportunist 147 2 0 5
|
|
oprah 5 495 21 12
|
|
opri 8 104 0 0
|
|
opsahl 101 5 0 0
|
|
optimist 209 11 16 10
|
|
optometrist 91 4 2 3
|
|
oquendo 296 8 2 0
|
|
oram 471 3 5 5
|
|
oranges 6 4 2 233
|
|
orangutans 1 15 2 117
|
|
orbach 380 3 0 0
|
|
orbe 119 3 0 2
|
|
orca 259 3 46 2
|
|
orchard 119 12 67 11
|
|
orchids 6 1 1 205
|
|
orchulli 152 0 0 0
|
|
orcutt 70 28 3 0
|
|
orde 178 0 4 2
|
|
orderly 438 0 4 5
|
|
ordonez 1845 9 9 2
|
|
orellana 34 70 0 0
|
|
orford 115 1 4 1
|
|
organiser 171 40 57 54
|
|
organizer 463 161 158 67
|
|
organs 34 22 26 1690
|
|
orgeron 282 0 0 16
|
|
orioles 235 0 51 6042
|
|
orlovsky 240 0 5 0
|
|
orlowski 114 21 1 1
|
|
orman 83 49 2 5
|
|
ornelas 94 21 4 7
|
|
ornstein 100 1 2 0
|
|
orosco 502 18 1 1
|
|
orozco 128 60 1 0
|
|
orphan 84 76 24 4
|
|
orphanage 51 11 42 19
|
|
orr 1211 246 44 24
|
|
orrico 8 154 17 1
|
|
orsini 123 37 2 2
|
|
orszagh 204 0 0 0
|
|
ortega 820 128 4 24
|
|
orth 53 38 4 6
|
|
orthodox 4 0 2 96
|
|
ortiz 8079 366 45 68
|
|
orton 1570 18 14 13
|
|
orville 87 1 2 10
|
|
orwell 150 0 4 3
|
|
osama 15716 9 40 11
|
|
osborn 431 97 19 13
|
|
osborne 1713 334 42 47
|
|
osbourne 2101 204 4 6
|
|
osburn 81 25 3 6
|
|
oscar 3733 119 134 42
|
|
oscars 60 7 31 71
|
|
ose 178 13 36 0
|
|
osgood 1113 13 2 8
|
|
oshima 97 3 1 0
|
|
oshiomhole 200 0 3 2
|
|
osman 203 37 4 5
|
|
osmeña 323 2 5 17
|
|
osmond 344 104 6 2
|
|
osorio 94 22 4 3
|
|
ossetians 1 0 0 119
|
|
osteen 119 14 2 0
|
|
oster 153 20 10 5
|
|
osterman 32 300 2 2
|
|
ostertag 509 8 1 1
|
|
ostlund 110 2 0 0
|
|
ostrander 294 29 4 9
|
|
osuna 177 11 1 2
|
|
oswald 684 50 8 9
|
|
oswalt 1978 18 3 8
|
|
ota 51 48 25 1
|
|
otellini 364 0 12 2
|
|
otero 166 32 3 2
|
|
other 1771 480 963 514
|
|
others 4555 1218 3584 113026
|
|
othman 320 3 4 6
|
|
otieno 95 20 2 5
|
|
otis 168 63 62 4
|
|
otsuka 200 5 5 0
|
|
ott 762 90 14 15
|
|
otte 144 24 1 3
|
|
ottens 66 4 1 33
|
|
otter 101 12 29 2
|
|
ottey 2 109 2 1
|
|
ottke 187 0 0 0
|
|
otto 661 136 13 25
|
|
ouattara 137 0 0 1
|
|
ouellet 342 3 5 0
|
|
ouellette 175 61 4 11
|
|
ought 30 0 24 86
|
|
ouko 139 10 3 2
|
|
ouma 108 1 1 3
|
|
ouster 178 4 115 11
|
|
out 86 4 49 17
|
|
outcasts 1 1 0 141
|
|
outdoorsman 211 0 2 2
|
|
outfield 91 5 61 24
|
|
outfielder 4567 29 55 48
|
|
outfielders 9 0 6 137
|
|
outfitters 3 0 2 152
|
|
outing 4467 71 196 48
|
|
outings 1069 10 23 32
|
|
outlaw 424 36 9 11
|
|
outs 24270 18 75 96
|
|
outsider 187 29 27 13
|
|
ovation 100 4 60 17
|
|
ovechkin 365 0 1 0
|
|
overalls 20 1 2 100
|
|
overbay 787 2 53 1
|
|
overdoses 1 4 1 315
|
|
overs 118 3 55 189
|
|
overseer 108 2 5 15
|
|
overseers 11 0 7 263
|
|
overstreet 241 53 7 0
|
|
overton 392 97 15 18
|
|
overvoorde 144 0 0 0
|
|
ovitz 2995 5 25 2
|
|
owen 6231 317 83 114
|
|
owens 15128 867 169 165
|
|
owings 132 23 0 3
|
|
owner 65806 6375 4584 2331
|
|
oxendine 357 59 2 2
|
|
oxley 345 9 4 11
|
|
oxman 318 1 0 0
|
|
oz 355 9 80 8
|
|
ozawa 95 5 2 2
|
|
ozkok 104 0 17 11
|
|
ozmint 146 0 0 0
|
|
ozolinsh 274 0 0 1
|
|
ozzie 136 1 4 2
|
|
ozzy 857 6 10 5
|
|
paar 967 19 2 1
|
|
pablo 93 7 5 5
|
|
paceman 851 0 6 4
|
|
pacemen 3 0 2 99
|
|
pacer 353 15 35 5
|
|
pacers 132 6 84 11065
|
|
pachachi 1099 1 6 6
|
|
pacheco 743 125 19 10
|
|
pacino 234 0 0 1
|
|
packard 130 157 29 8
|
|
packer 1372 98 65 16
|
|
packers 246 4 131 8369
|
|
pacolli 120 0 0 2
|
|
pacquiao 669 1 9 4
|
|
padalka 177 0 1 1
|
|
paddock 560 14 21 15
|
|
paddy 116 4 11 7
|
|
padgett 815 153 4 16
|
|
padilla 4727 245 25 30
|
|
padres 134 1 39 5617
|
|
paedophile 166 1 9 5
|
|
paedophiles 8 0 4 186
|
|
paek 185 5 0 4
|
|
paerson 0 513 0 0
|
|
paes 564 4 4 19
|
|
pagan 351 40 11 10
|
|
pagani 161 7 3 0
|
|
pagano 93 9 2 4
|
|
page 1870 409 1701 260
|
|
pagel 81 20 3 0
|
|
pagers 1 0 0 178
|
|
pahad 223 11 2 10
|
|
pahlsson 134 0 0 0
|
|
paige 1945 362 17 49
|
|
paine 166 39 11 4
|
|
painter 1797 237 27 31
|
|
paintings 122 54 66 1538
|
|
pair 1200 246 1031 22052
|
|
paisley 1105 12 39 36
|
|
pajamas 4 0 2 179
|
|
pak 162 2122 16 2
|
|
pakistani 504 4 24 30
|
|
pakistanis 21 1 12 2810
|
|
paksas 725 0 3 0
|
|
pal 527 76 103 33
|
|
palaces 26 0 18 57
|
|
palacio 68 158 1 5
|
|
palacios 189 44 10 10
|
|
palahniuk 102 2 1 0
|
|
palander 197 0 0 0
|
|
palermo 193 24 10 32
|
|
palestinian 6383 84 33 116
|
|
palestinians 589 22 491 55112
|
|
paley 63 42 2 2
|
|
palffy 427 0 0 1
|
|
palin 32 98 2 1
|
|
palios 412 1 3 2
|
|
palko 330 2 15 0
|
|
pallone 183 9 3 0
|
|
palma 123 44 40 10
|
|
palme 203 0 10 1
|
|
palmeiro 2881 0 6 5
|
|
palmer 12097 793 152 152
|
|
palmera 212 0 1 0
|
|
palmieri 94 45 7 2
|
|
palmisano 314 5 15 3
|
|
palms 31 4 23 123
|
|
palombo 64 51 1 2
|
|
palomino 170 7 2 15
|
|
pals 75 40 12 643
|
|
paltrow 3 820 4 2
|
|
palumbo 181 31 4 6
|
|
pam 29 517 21 32
|
|
pamela 13 233 1 9
|
|
pamphlets 10 2 8 329
|
|
pampling 872 1 1 0
|
|
pancho 560 0 1 2
|
|
panday 112 1 2 4
|
|
pandey 187 6 5 13
|
|
pandit 42 51 5 4
|
|
pandolfo 192 4 2 0
|
|
pandya 261 9 3 6
|
|
panelist 95 41 13 34
|
|
panetta 174 34 0 5
|
|
panetti 270 8 0 3
|
|
pang 113 92 6 9
|
|
pangelinan 127 12 2 4
|
|
pangilinan 127 10 10 29
|
|
pangle 190 4 0 0
|
|
paniagua 162 8 0 0
|
|
panis 137 1 1 0
|
|
panke 149 1 3 0
|
|
pannell 117 11 3 0
|
|
panner 142 1 0 0
|
|
pant 92 3 9 2
|
|
pantani 687 0 4 1
|
|
panthers 444 19 387 21033
|
|
pantries 1 4 3 142
|
|
pants 188 64 54 351
|
|
panzer 22 197 5 6
|
|
paolini 101 11 0 5
|
|
paolo 319 1 11 7
|
|
paopao 109 0 7 3
|
|
papa 306 13 9 6
|
|
papadopoulos 589 4 14 17
|
|
papageorge 11 101 1 1
|
|
papaioannou 110 0 0 0
|
|
papandreou 502 0 6 18
|
|
paparazzi 25 7 11 237
|
|
pape 165 30 8 12
|
|
papers 825 222 354 7426
|
|
papis 135 0 2 7
|
|
papon 147 0 0 0
|
|
pappas 1204 113 15 12
|
|
pappert 164 2 2 6
|
|
papps 126 3 3 2
|
|
pappy 109 3 0 0
|
|
paprota 248 0 0 0
|
|
papy 184 0 0 0
|
|
paquette 134 54 2 7
|
|
par 1093 257 362 80
|
|
paracha 253 11 2 1
|
|
parachutes 7 6 5 426
|
|
parachutist 165 5 0 0
|
|
paradis 120 33 5 4
|
|
paradorn 976 0 1 1
|
|
parady 159 4 3 1
|
|
paralegal 29 183 4 0
|
|
paramedic 824 67 3 35
|
|
paramedics 446 226 40 724
|
|
paramilitaries 9 1 7 802
|
|
paraplegic 172 5 1 0
|
|
paratrooper 818 3 1 3
|
|
parcells 12459 3 68 78
|
|
pardew 288 1 4 12
|
|
pardon 942 7 43 9
|
|
paredes 85 22 2 3
|
|
parente 53 120 3 4
|
|
parenteau 112 10 1 1
|
|
parents 3800 2816 1438 154741
|
|
parfitt 111 10 1 2
|
|
parham 114 36 4 3
|
|
parise 123 8 2 2
|
|
parishioner 171 112 0 26
|
|
parishioners 83 7 72 3333
|
|
parisi 623 19 2 4
|
|
paritzky 163 0 1 5
|
|
parke 123 17 6 7
|
|
parker 10383 2088 394 293
|
|
parkes 76 37 26 36
|
|
parkin 256 15 11 3
|
|
parkins 109 5 4 6
|
|
parkinson 412 38 5 18
|
|
parks 1270 686 232 833
|
|
parlak 347 0 0 1
|
|
parliamentarian 305 16 10 8
|
|
parliamentarians 52 7 30 907
|
|
parlour 138 17 47 14
|
|
parlow 0 242 0 1
|
|
parmar 131 11 1 2
|
|
parmelee 104 18 1 1
|
|
parnell 995 77 6 7
|
|
parnevik 616 5 1 2
|
|
parnham 195 37 1 0
|
|
parole 4671 88 71 68
|
|
parolee 235 8 0 6
|
|
parolees 2 0 1 344
|
|
parque 141 0 0 0
|
|
parr 299 108 13 5
|
|
parra 191 215 5 7
|
|
parreira 163 1 1 8
|
|
parrett 96 7 1 4
|
|
parrikar 121 0 8 9
|
|
parris 276 39 5 2
|
|
parrish 2287 436 29 31
|
|
parrot 82 14 74 5
|
|
parrots 0 2 1 137
|
|
parrott 428 52 16 11
|
|
parry 2316 59 28 17
|
|
pars 498 61 42 147
|
|
parseghian 427 0 3 1
|
|
parsky 105 7 0 0
|
|
parson 1488 38 2 3
|
|
parsonage 12 80 8 0
|
|
parsons 2352 294 86 125
|
|
participant 563 241 143 298
|
|
partick 10 0 9 121
|
|
partisan 75 9 9 9
|
|
partisans 21 4 16 815
|
|
partner 2956 830 2227 1067
|
|
parton 41 453 8 8
|
|
partridge 281 62 5 8
|
|
partygoers 3 3 1 505
|
|
parvanov 154 0 1 2
|
|
pascal 73 50 2 3
|
|
pascoe 177 34 6 2
|
|
pascual 88 13 4 6
|
|
pascucci 104 6 1 3
|
|
pasha 99 5 10 5
|
|
pashtun 618 0 3 2
|
|
pashtuns 1 0 0 333
|
|
pasi 101 0 4 1
|
|
pasko 110 3 1 0
|
|
pasqualoni 901 0 7 7
|
|
passages 16 3 12 308
|
|
passaro 1946 14 10 4
|
|
passenger 6241 853 191 424
|
|
passer 1086 4 12 5
|
|
passerby 125 33 4 24
|
|
passes 572 16 182 3406
|
|
passmore 185 16 1 3
|
|
pasternak 20 648 3 4
|
|
pastika 136 0 5 17
|
|
pastor 4782 204 84 165
|
|
pastore 155 9 2 3
|
|
pastorelli 115 0 0 3
|
|
pastrick 204 1 3 7
|
|
paswan 338 0 17 5
|
|
pat 990 519 106 83
|
|
pataki 4194 9 81 39
|
|
patane 129 3 1 8
|
|
patasse 152 0 0 1
|
|
pate 988 151 18 21
|
|
patel 2016 363 97 95
|
|
patella 1522 33 0 0
|
|
paterno 2812 3 21 23
|
|
paterson 1156 61 42 20
|
|
pathan 769 0 6 6
|
|
pathologist 663 86 12 13
|
|
pathologists 4 8 1 139
|
|
patient 3715 1527 535 1567
|
|
patil 565 5 26 33
|
|
patin 145 1 2 1
|
|
patnaik 124 12 5 2
|
|
paton 132 23 2 3
|
|
patriarch 808 0 7 6
|
|
patric 153 0 0 3
|
|
patricia 26 680 7 38
|
|
patrick 5992 323 207 91
|
|
patriots 269 3 211 15958
|
|
patrolling 12 5 2 329
|
|
patrolman 341 9 7 8
|
|
patrolmen 11 2 1 137
|
|
patron 954 144 49 59
|
|
pats 36 1 18 985
|
|
patsy 50 131 9 7
|
|
pattah 313 0 0 0
|
|
patten 630 49 11 25
|
|
patterson 8191 1460 148 172
|
|
patti 66 385 2 9
|
|
pattison 235 39 9 5
|
|
pattni 348 2 5 7
|
|
patton 4004 338 43 50
|
|
patty 56 491 16 22
|
|
paul 10386 589 190 257
|
|
paula 28 590 10 24
|
|
paulding 309 2 4 3
|
|
pauleta 177 0 0 2
|
|
paulette 5 411 4 1
|
|
pauley 136 643 16 9
|
|
paulin 111 6 0 1
|
|
pauline 18 305 4 23
|
|
paulino 77 21 0 3
|
|
paulk 252 24 1 1
|
|
paulse 95 5 1 3
|
|
paulsen 302 46 10 9
|
|
paulson 744 105 12 12
|
|
paulus 798 22 5 4
|
|
pauly 76 39 1 1
|
|
paus 162 2 0 0
|
|
pavano 1585 0 6 5
|
|
pavao 78 13 5 4
|
|
pavarotti 979 1 2 1
|
|
pavel 403 2 1 7
|
|
pavin 479 1 10 0
|
|
pavitt 162 1 0 0
|
|
pavlik 357 17 4 4
|
|
pawar 681 9 11 22
|
|
pawlenty 3691 24 54 57
|
|
pawlowski 89 17 4 1
|
|
pawsox 4 0 3 3744
|
|
paxson 1766 14 54 10
|
|
paxton 338 56 21 11
|
|
paya 163 0 3 2
|
|
paycheck 132 17 117 24
|
|
paychecks 19 2 16 546
|
|
payday 423 9 30 3
|
|
payer 76 4 17 12
|
|
payne 2532 626 54 80
|
|
payton 7266 63 38 28
|
|
paz 455 62 15 8
|
|
pazuhanich 579 0 1 3
|
|
pdfs 1 0 0 115
|
|
peacekeeper 160 0 6 1
|
|
peach 101 23 58 4
|
|
peaches 4 38 11 178
|
|
peachey 104 2 2 1
|
|
peacock 467 135 109 25
|
|
peake 73 45 1 2
|
|
pearce 975 214 46 30
|
|
pearl 393 241 95 24
|
|
pearlman 187 59 3 2
|
|
pearman 276 10 2 0
|
|
pears 137 6 3 45
|
|
pearson 1820 476 434 78
|
|
peasant 172 13 2 5
|
|
peasants 32 2 3 732
|
|
pease 221 106 12 9
|
|
peat 210 2 17 2
|
|
peavy 827 23 9 6
|
|
peca 628 0 3 1
|
|
peck 2743 218 34 32
|
|
peckham 142 20 3 1
|
|
pecora 161 10 0 0
|
|
peddie 168 0 20 8
|
|
peden 133 13 1 4
|
|
pedersen 346 205 34 14
|
|
pederson 1648 84 5 9
|
|
pedestrian 892 146 12 21
|
|
pediatrician 227 117 2 26
|
|
pedigree 110 13 98 37
|
|
pedophile 711 0 1 3
|
|
pedregon 256 4 1 0
|
|
pedrique 185 0 3 1
|
|
pedro 1384 27 27 15
|
|
peebles 189 70 31 47
|
|
peek 201 44 71 41
|
|
peel 325 24 55 29
|
|
peeler 340 317 8 15
|
|
peeples 154 15 5 1
|
|
peer 454 37 102 20
|
|
peers 186 88 123 1979
|
|
peet 35 36 27 4
|
|
peete 542 19 14 3
|
|
peggy 10 314 9 34
|
|
pegram 158 6 0 2
|
|
peguero 208 1 1 0
|
|
peirsol 1041 2 3 32
|
|
peja 211 0 3 1
|
|
pekar 234 0 2 1
|
|
pelayo 95 8 1 5
|
|
pele 573 9 24 4
|
|
pelham 56 28 51 10
|
|
pelini 462 0 1 3
|
|
pell 120 16 6 7
|
|
pellegrini 118 37 0 1
|
|
pellegrino 103 14 1 1
|
|
pellerud 104 6 0 1
|
|
pellet 253 10 38 2
|
|
pelletier 771 106 8 12
|
|
pellets 20 3 6 349
|
|
pellicano 301 10 1 0
|
|
pellman 102 0 0 43
|
|
pellow 119 7 0 0
|
|
peloquin 104 13 0 2
|
|
pelosi 837 1120 16 46
|
|
peltier 372 13 1 2
|
|
pelton 213 19 1 9
|
|
peluso 72 37 0 4
|
|
pemberton 246 52 22 8
|
|
pena 2435 92 9 33
|
|
pence 470 36 62 18
|
|
penchant 81 11 58 27
|
|
pencils 8 1 5 126
|
|
pender 49 65 4 5
|
|
pendergast 87 10 2 2
|
|
pendergrass 47 80 0 1
|
|
penders 150 0 0 0
|
|
pendleton 380 58 36 13
|
|
penelas 530 0 3 1
|
|
peng 185 23 7 6
|
|
penguins 172 2 48 5534
|
|
penley 196 25 1 1
|
|
pennant 391 1 41 14
|
|
pennell 109 22 5 0
|
|
penner 168 30 7 19
|
|
pennington 5411 178 113 46
|
|
pennsylvanians 15 0 2 429
|
|
penny 2195 247 393 64
|
|
penrod 89 15 2 2
|
|
penrose 102 10 7 2
|
|
pens 19 0 14 444
|
|
pensioner 710 521 12 42
|
|
penske 806 0 39 3
|
|
peoples 208 43 159 1518
|
|
pepe 513 54 3 8
|
|
pepin 95 87 5 6
|
|
pepper 412 210 93 38
|
|
peppers 1242 18 9 87
|
|
per 103 0 20 2
|
|
perala 122 4 0 0
|
|
peralta 292 39 8 7
|
|
perata 345 0 7 0
|
|
percival 992 10 4 3
|
|
percussionist 107 4 1 2
|
|
percy 184 56 9 5
|
|
perdew 164 1 0 0
|
|
perdue 2620 97 101 42
|
|
perea 101 8 1 15
|
|
pereira 616 63 6 11
|
|
perelman 119 5 0 2
|
|
perera 111 23 1 6
|
|
peres 1562 3 15 9
|
|
peretz 222 1 3 2
|
|
perez 8640 647 86 114
|
|
perezhogin 225 0 1 0
|
|
perfect 168 30 133 28
|
|
perfectionist 78 20 10 2
|
|
perfections 1 100 0 0
|
|
performances 477 101 310 934
|
|
performer 3130 451 154 65
|
|
perkins 3570 461 76 83
|
|
perks 596 6 19 57
|
|
perle 1461 2 36 100
|
|
perlman 363 32 7 4
|
|
perlozzo 101 0 1 0
|
|
pernice 151 12 0 0
|
|
perno 106 5 4 2
|
|
perot 66 3 59 1
|
|
perper 353 0 0 4
|
|
perpetrator 462 18 29 34
|
|
perreault 313 17 5 3
|
|
perret 59 87 0 1
|
|
perretta 199 0 2 0
|
|
perricos 349 0 19 4
|
|
perrin 300 57 8 7
|
|
perron 88 31 4 4
|
|
perry 11667 1071 316 201
|
|
perryman 188 59 4 5
|
|
person 21046 4078 2802 14922
|
|
personality 739 222 368 63
|
|
personnel 387 154 353 11554
|
|
persons 162 37 103 10140
|
|
persson 371 17 5 2
|
|
peruvians 3 1 0 208
|
|
pervert 106 6 0 3
|
|
perzel 208 2 4 1
|
|
pesce 107 1 1 0
|
|
pesci 99 16 0 0
|
|
peshmerga 9 0 2 306
|
|
peskin 85 6 8 1
|
|
pesky 114 1 0 0
|
|
pesquera 216 2 0 2
|
|
petacchi 548 0 3 2
|
|
pete 1795 16 56 23
|
|
peter 4479 76 81 120
|
|
peterhansel 99 0 0 1
|
|
peterkin 90 21 0 0
|
|
peterman 135 24 2 6
|
|
peters 2837 672 79 107
|
|
petersen 1253 249 33 44
|
|
peterson 76400 2161 241 391
|
|
petersons 4 5 1 331
|
|
petit 487 18 0 9
|
|
petitgout 127 3 1 0
|
|
petitioner 551 93 70 22
|
|
petra 22 63 46 3
|
|
petraeus 507 0 3 4
|
|
petren 173 0 0 0
|
|
petri 103 21 2 3
|
|
petrick 261 15 0 1
|
|
petrie 656 35 9 13
|
|
petrino 1104 0 17 4
|
|
petro 322 20 31 10
|
|
petrocelli 128 6 3 5
|
|
petrone 102 12 0 1
|
|
petroskey 369 2 0 5
|
|
petrov 452 2 16 5
|
|
petrova 0 1175 1 10
|
|
petrovic 284 3 1 1
|
|
petrucci 102 10 3 0
|
|
petruzzello 122 0 0 1
|
|
pettersen 39 209 1 1
|
|
petterson 110 5 4 3
|
|
pettersson 265 3 0 0
|
|
pettigrew 650 27 10 11
|
|
pettis 215 34 5 10
|
|
pettit 1040 87 13 20
|
|
pettitte 3890 0 23 15
|
|
pettus 86 14 1 11
|
|
pettway 172 17 0 5
|
|
petty 472 31 6 7
|
|
peyton 979 45 45 17
|
|
peña 321 60 5 8
|
|
pfaff 163 18 4 4
|
|
pfeifer 190 47 6 6
|
|
pfeiffer 226 114 23 8
|
|
pfenning 111 0 3 0
|
|
phair 41 173 0 1
|
|
pham 256 69 2 10
|
|
phan 94 32 5 0
|
|
pharaoh 151 3 3 4
|
|
pharmacist 1189 155 19 41
|
|
pharrell 311 0 0 1
|
|
phelan 855 31 13 7
|
|
phelps 13330 211 98 43
|
|
phenom 641 79 9 1
|
|
phifer 143 10 7 2
|
|
phil 2659 30 73 51
|
|
philanderer 504 0 0 0
|
|
philanthropist 306 42 3 2
|
|
philanthropists 2 1 1 141
|
|
philbin 370 21 1 2
|
|
philip 1612 28 25 29
|
|
philippe 3630 0 3 12
|
|
philippoussis 3956 16 14 6
|
|
phillabaum 328 7 0 4
|
|
phillies 260 0 90 8716
|
|
phillip 418 27 8 30
|
|
phillips 9237 1956 215 255
|
|
philo 165 14 6 8
|
|
philosopher 204 11 2 2
|
|
philpot 101 7 1 3
|
|
phils 15 0 8 421
|
|
phinney 79 18 1 2
|
|
phipps 217 1190 13 15
|
|
phiri 92 5 4 11
|
|
phoebe 2 223 64 6
|
|
photographer 5250 284 94 70
|
|
photographers 42 20 17 2735
|
|
photographs 219 106 168 5977
|
|
photojournalist 58 51 10 3
|
|
photos 344 142 204 10430
|
|
phrases 18 5 15 520
|
|
phyllis 7 294 2 9
|
|
physician 3431 315 83 161
|
|
physicians 234 79 188 7873
|
|
physicist 647 6 2 3
|
|
physicists 17 1 8 317
|
|
physio 152 7 17 3
|
|
physique 245 6 21 0
|
|
pianist 531 108 40 19
|
|
piatt 144 4 0 3
|
|
piazza 5883 19 32 87
|
|
picard 327 33 8 22
|
|
picasso 286 0 21 6
|
|
pick 15881 122 830 232
|
|
pickard 723 32 5 4
|
|
pickens 443 51 11 11
|
|
picker 187 12 11 6
|
|
pickering 1973 130 24 31
|
|
pickett 1074 122 17 19
|
|
picking 130 31 129 76
|
|
pickle 244 8 20 5
|
|
picks 78 6 65 2605
|
|
pickton 443 1 1 2
|
|
pico 93 3 3 5
|
|
pictures 643 215 543 13512
|
|
pienaar 114 5 0 7
|
|
pieper 76 20 1 4
|
|
pierce 5582 1236 74 97
|
|
pierott 199 0 0 0
|
|
pierpont 116 11 10 5
|
|
pierre 1643 40 42 48
|
|
pierson 368 138 18 41
|
|
pierzynski 893 0 2 0
|
|
pies 13 7 12 320
|
|
piestewa 6 339 25 3
|
|
pietersen 133 1 1 2
|
|
pietrack 161 3 0 0
|
|
pietrus 216 0 0 0
|
|
pigeons 19 0 2 377
|
|
pignatelli 169 11 2 0
|
|
pike 380 376 87 52
|
|
pilar 66 34 2 3
|
|
pilate 98 3 1 10
|
|
pilcher 93 9 2 7
|
|
pileggi 67 103 1 1
|
|
pilgreen 357 3 0 1
|
|
pilgrim 310 48 78 21
|
|
pilkington 101 20 78 7
|
|
pilla 104 3 0 1
|
|
pillai 135 9 3 1
|
|
pillay 304 28 2 10
|
|
pilot 13721 178 394 221
|
|
pimentel 383 31 18 24
|
|
pimp 65 37 8 3
|
|
pimps 3 0 1 166
|
|
pina 55 81 4 2
|
|
pincay 753 0 0 0
|
|
pinckney 212 34 21 13
|
|
pincus 158 1 3 3
|
|
pine 1126 41 59 18
|
|
pineda 258 47 1 3
|
|
pinegar 135 4 13 2
|
|
pineiro 969 11 5 0
|
|
pines 30 6 13 51
|
|
pinette 172 6 0 2
|
|
pinetti 138 0 0 1
|
|
ping 52 26 29 13
|
|
pinheiro 250 8 2 2
|
|
piniella 2371 0 24 43
|
|
pink 89 156 90 18
|
|
pinkel 308 0 2 1
|
|
pinkerton 86 75 23 6
|
|
pinkins 594 39 1 2
|
|
pinkney 159 12 10 5
|
|
pinkston 637 53 6 4
|
|
pinner 167 13 0 1
|
|
pino 154 9 0 1
|
|
pinochet 3420 0 8 4
|
|
pins 51 9 25 424
|
|
pinsent 228 1 1 6
|
|
pinto 634 80 9 12
|
|
piot 149 0 3 3
|
|
piper 701 141 123 26
|
|
pipes 201 25 78 262
|
|
pipkin 111 39 1 2
|
|
pipoly 118 1 0 0
|
|
pippen 2310 1 12 3
|
|
pippin 85 20 5 4
|
|
pippy 127 0 0 1
|
|
pirate 400 4 20 37
|
|
pirates 507 20 239 13162
|
|
pires 788 12 4 16
|
|
pirro 204 66 4 2
|
|
pirtle 120 32 2 1
|
|
pisani 205 9 1 1
|
|
pischetsrieder 97 0 3 0
|
|
piscopo 171 2 0 1
|
|
pistolesi 0 134 0 0
|
|
pistols 20 0 0 101
|
|
pistone 135 1 0 0
|
|
pistons 175 0 82 13580
|
|
pitcher 14268 479 150 170
|
|
pitchers 217 12 80 4676
|
|
pitches 1067 28 391 730
|
|
pitino 3887 2 12 21
|
|
pitkanen 110 0 0 4
|
|
pitman 93 31 26 34
|
|
pitre 93 36 2 0
|
|
pittard 123 16 1 0
|
|
pittman 2681 788 19 26
|
|
pitts 892 229 17 39
|
|
pity 152 56 80 93
|
|
pius 111 5 16 6
|
|
piuze 180 0 0 1
|
|
pivot 102 0 15 1
|
|
pizarro 132 5 0 3
|
|
pizzonia 168 0 4 4
|
|
pj 213 23 9 7
|
|
placekicker 69 119 1 0
|
|
plaintiff 1169 512 343 228
|
|
plaintiffs 253 38 156 10195
|
|
plame 6 382 0 2
|
|
plamondon 185 23 0 2
|
|
plank 296 16 39 7
|
|
planner 411 109 77 73
|
|
plante 206 36 0 6
|
|
planton 20 81 1 0
|
|
plaster 175 7 18 7
|
|
plath 22 144 2 3
|
|
plato 125 1 23 6
|
|
platt 705 128 35 32
|
|
platts 82 11 38 4
|
|
plaudits 156 0 11 15
|
|
plavsic 0 830 0 0
|
|
player 95452 4147 2925 3663
|
|
players 4213 403 3445 217637
|
|
playmaker 935 14 9 7
|
|
playmate 5 93 2 3
|
|
playoff 691 13 477 470
|
|
plays 940 38 717 1339
|
|
playwright 757 83 14 9
|
|
plazas 2 0 0 149
|
|
plea 838 230 469 215
|
|
pleading 72 8 34 33
|
|
pleat 238 0 5 6
|
|
plesac 135 2 0 0
|
|
plessis 137 19 7 20
|
|
pletcher 585 16 2 2
|
|
plimpton 923 8 13 1
|
|
plofsky 280 3 4 0
|
|
plowman 125 14 3 2
|
|
ploy 148 12 128 37
|
|
plumber 289 10 7 12
|
|
plummer 4330 163 38 24
|
|
plunkett 242 29 2 8
|
|
plushenko 673 0 1 1
|
|
plusquellic 117 0 3 0
|
|
pm 1839 90 92 67
|
|
pmos 1044 9 63 59
|
|
pms 12 116 19 28
|
|
poacher 165 1 5 4
|
|
poachers 4 0 2 329
|
|
podesta 157 1 1 0
|
|
podesto 107 0 1 0
|
|
podiatrist 96 22 1 8
|
|
podium 3478 15 62 46
|
|
podkolzine 244 0 0 0
|
|
podsednik 831 0 0 3
|
|
poe 3111 109 39 43
|
|
poems 38 20 17 407
|
|
poet 1269 154 14 41
|
|
pogany 971 0 0 1
|
|
pogue 80 23 0 2
|
|
pohamba 129 1 0 7
|
|
pohl 718 29 2 2
|
|
poindexter 680 36 6 2
|
|
pointer 87 33 46 18
|
|
poirier 97 41 3 21
|
|
poizner 192 1 1 1
|
|
pokes 15 14 4 68
|
|
pokorney 270 25 2 0
|
|
polamalu 324 0 4 3
|
|
polanco 636 52 6 2
|
|
polanski 623 17 5 1
|
|
polet 104 0 2 0
|
|
polian 403 3 6 5
|
|
police 41292 13801 7313 316494
|
|
policeman 5608 42 37 163
|
|
policemen 140 27 32 6560
|
|
policewoman 13 267 1 7
|
|
polier 0 324 0 0
|
|
poling 85 35 1 0
|
|
politician 8066 340 86 227
|
|
politicos 7 2 2 108
|
|
politte 163 2 4 2
|
|
polk 344 223 69 20
|
|
pollack 932 53 10 21
|
|
pollak 94 10 0 1
|
|
pollard 1924 180 16 60
|
|
polley 72 64 0 1
|
|
pollin 1063 0 2 15
|
|
pollock 1396 139 16 23
|
|
polls 1335 110 677 1486
|
|
pollster 268 26 15 28
|
|
pollsters 76 7 24 1491
|
|
polly 61 318 7 4
|
|
polygamist 122 1 0 2
|
|
polyps 4 0 3 110
|
|
pombo 473 0 5 2
|
|
pomerantz 126 9 0 0
|
|
pomeroy 364 33 33 12
|
|
pompey 46 3 10 593
|
|
ponce 241 32 9 0
|
|
ponchos 1 2 1 120
|
|
ponies 6 4 4 141
|
|
ponor 0 152 0 0
|
|
ponson 1591 0 4 6
|
|
ponte 31 155 5 5
|
|
pontes 12 150 2 0
|
|
pontiff 4604 0 37 24
|
|
ponting 3363 0 50 71
|
|
ponza 149 0 0 0
|
|
pooches 3 0 0 170
|
|
pooh 109 6 7 4
|
|
pook 149 2 3 0
|
|
poole 1348 196 44 33
|
|
pooley 311 8 5 0
|
|
poom 123 0 0 1
|
|
poore 111 103 8 7
|
|
pop 270 30 225 62
|
|
pope 15755 361 92 112
|
|
popeye 281 3 3 0
|
|
popov 1051 2 3 3
|
|
popovich 1463 18 4 10
|
|
popp 377 34 4 3
|
|
pops 101 8 25 67
|
|
populist 1141 9 20 12
|
|
poraz 187 1 5 4
|
|
porcher 283 2 2 0
|
|
porter 7393 819 137 133
|
|
portillo 404 19 4 3
|
|
portis 2330 7 5 14
|
|
portman 155 105 59 2
|
|
portnoy 99 3 1 2
|
|
portraits 43 10 12 543
|
|
portuguese 122 2 42 770
|
|
portune 121 0 1 2
|
|
posada 1929 9 8 5
|
|
pose 91 4 22 26
|
|
posen 117 4 1 2
|
|
posey 824 70 15 15
|
|
poshard 143 0 3 0
|
|
posing 62 25 8 71
|
|
posner 138 42 5 1
|
|
poss 41 56 1 2
|
|
posse 47 0 39 71
|
|
postals 2 0 0 291
|
|
postell 292 13 1 0
|
|
posters 82 26 67 1410
|
|
postiga 112 0 2 0
|
|
postman 196 3 5 8
|
|
postmaster 192 31 6 13
|
|
poston 607 33 4 14
|
|
postseason 540 8 444 366
|
|
potapenko 290 0 0 0
|
|
poti 176 0 0 2
|
|
potter 1708 365 59 43
|
|
pottruck 461 0 2 0
|
|
potts 1108 169 14 26
|
|
potvin 511 11 1 1
|
|
pough 136 4 1 4
|
|
poulin 571 71 2 5
|
|
pouliot 118 15 1 4
|
|
poulos 154 11 3 2
|
|
poulter 905 11 9 6
|
|
pound 824 56 822 96
|
|
pounder 93 16 3 3
|
|
poundstone 5 136 1 0
|
|
poutiainen 0 150 1 1
|
|
pow 93 64 4 11
|
|
powe 331 8 0 0
|
|
powell 55491 1298 893 655
|
|
powers 1447 455 536 1832
|
|
pownceby 252 0 0 0
|
|
pows 8 0 5 2246
|
|
pozo 98 2 5 0
|
|
prabhakaran 193 1 4 5
|
|
prabhu 119 3 3 3
|
|
practitioner 179 93 25 26
|
|
prado 330 31 10 6
|
|
pragmatist 186 6 1 0
|
|
praise 274 43 206 162
|
|
prakash 141 8 2 10
|
|
pranee 1 139 1 0
|
|
prank 380 3 51 9
|
|
prankster 243 10 0 3
|
|
prasad 590 18 26 25
|
|
prater 156 60 9 9
|
|
prather 191 73 6 4
|
|
pratt 2606 545 104 73
|
|
prayers 91 23 41 3006
|
|
preacher 1684 24 8 16
|
|
preachers 11 0 8 815
|
|
prebble 250 14 7 4
|
|
precaution 59 14 53 58
|
|
predator 214 14 170 30
|
|
predators 45 2 44 3804
|
|
predecessor 2224 235 149 32
|
|
preece 116 3 4 2
|
|
preki 205 0 2 0
|
|
prelate 261 0 3 1
|
|
prelates 36 0 0 765
|
|
prelude 23 60 38 72
|
|
premier 17798 181 870 405
|
|
premiers 30 2 28 1583
|
|
premji 109 0 9 3
|
|
prendergast 163 38 8 4
|
|
prentice 275 87 4 11
|
|
prentiss 122 14 18 6
|
|
prescott 916 73 118 35
|
|
presenter 739 189 28 24
|
|
presenters 21 3 12 589
|
|
presents 30 40 36 532
|
|
president 574256 18412 9251 8294
|
|
presley 322 909 8 12
|
|
presnell 75 18 2 6
|
|
pressel 3 140 0 0
|
|
pressler 156 5 3 1
|
|
pressley 281 50 7 9
|
|
pressman 113 6 5 1
|
|
preston 890 296 87 276
|
|
pretenders 16 5 0 129
|
|
pretorius 207 11 2 12
|
|
pretzels 1 8 4 118
|
|
previte 142 10 0 7
|
|
previti 119 2 3 4
|
|
prewitt 85 48 2 4
|
|
priddy 83 14 1 3
|
|
pridgen 114 23 2 1
|
|
priest 9838 203 91 176
|
|
priests 92 8 70 7802
|
|
prieto 120 26 1 4
|
|
primaries 69 2 35 166
|
|
primate 184 1 12 3
|
|
primeau 1305 5 11 8
|
|
prince 22418 488 465 419
|
|
princess 60 3283 221 44
|
|
principal 2881 1270 469 406
|
|
principi 858 3 8 5
|
|
pringle 551 85 20 15
|
|
prinsloo 81 23 2 9
|
|
printers 110 2 46 516
|
|
printouts 3 1 2 94
|
|
prints 56 54 34 532
|
|
prinz 93 84 2 2
|
|
prinze 261 0 0 0
|
|
prior 4632 50 69 83
|
|
priore 237 1 1 35
|
|
priscilla 5 94 0 11
|
|
prison 1917 275 1455 805
|
|
prisoner 13657 198 109 151
|
|
pritchard 609 77 22 18
|
|
pritchett 322 43 7 19
|
|
pritts 94 8 2 0
|
|
private 319 154 154 58
|
|
priyanka 2 244 1 10
|
|
pro 4741 144 63 62
|
|
probation 9510 420 101 148
|
|
probert 357 6 2 3
|
|
probst 263 21 13 9
|
|
procter 147 35 50 2
|
|
proctor 742 133 28 25
|
|
prodding 156 4 5 8
|
|
prodi 1158 1 29 24
|
|
prodigy 467 68 14 21
|
|
proehl 205 6 3 1
|
|
professional 1126 224 186 407
|
|
professor 16179 1987 546 604
|
|
professors 84 36 57 4029
|
|
proffitt 87 28 3 3
|
|
prognosis 109 12 82 16
|
|
prognosticators 6 0 2 109
|
|
programmer 594 25 16 21
|
|
promoter 1348 34 162 70
|
|
pronger 524 0 3 0
|
|
pronk 248 0 9 1
|
|
prop 648 3 41 25
|
|
prophet 1072 9 20 20
|
|
proponent 319 23 65 13
|
|
proprietor 371 48 24 52
|
|
props 21 9 18 289
|
|
prosecutor 15402 1428 474 461
|
|
prosecutors 10936 3354 709 86328
|
|
prospal 227 0 1 2
|
|
prospect 1410 75 982 311
|
|
prospere 107 1 0 0
|
|
prosser 1140 27 13 7
|
|
prostitute 129 1092 12 10
|
|
protagonist 304 78 10 1
|
|
proteas 7 0 0 190
|
|
protege 601 12 11 1
|
|
protester 1376 172 6 111
|
|
protesters 258 59 158 22212
|
|
protestors 18 2 16 1072
|
|
protégé 82 11 3 8
|
|
proulx 128 54 2 0
|
|
provance 483 4 1 0
|
|
provenzano 90 21 2 3
|
|
provisionals 1 0 0 185
|
|
provost 708 312 56 37
|
|
prowess 78 24 77 21
|
|
prso 234 0 1 1
|
|
prue 8 114 1 0
|
|
pruett 532 37 8 6
|
|
pruitt 565 111 21 26
|
|
prusek 356 0 4 0
|
|
prusiner 245 1 0 0
|
|
pryce 424 38 13 7
|
|
pryor 2215 154 21 50
|
|
przybilla 104 0 0 0
|
|
ps 61 6 25 13
|
|
psychiatrist 1313 192 16 28
|
|
psychiatrists 79 77 13 399
|
|
psychic 37 132 5 13
|
|
psychologist 615 305 63 37
|
|
psychologists 41 10 22 593
|
|
psychopath 155 3 3 5
|
|
publican 151 1 4 12
|
|
publicist 338 1002 23 35
|
|
publicists 12 86 12 78
|
|
puckett 1219 119 16 16
|
|
pudge 150 1 19 2
|
|
pugh 813 182 11 31
|
|
pugliese 101 20 2 3
|
|
pujols 6006 8 10 23
|
|
pulido 141 9 0 5
|
|
pulis 107 1 1 5
|
|
pull 121 9 95 25
|
|
pullen 203 41 6 6
|
|
pulley 151 20 9 5
|
|
pulliam 47 89 1 2
|
|
pulling 193 26 130 78
|
|
pullman 106 6 18 7
|
|
punch 290 14 254 78
|
|
punches 200 3 56 155
|
|
pundit 221 62 4 12
|
|
pundits 147 26 85 765
|
|
punishment 550 40 454 169
|
|
punter 655 3 15 21
|
|
punters 26 14 13 1025
|
|
punto 149 0 5 6
|
|
punts 58 0 14 39
|
|
pup 92 39 76 14
|
|
pupil 882 377 24 67
|
|
puppies 18 13 7 579
|
|
purcell 597 99 32 16
|
|
purdon 99 9 2 2
|
|
purdy 1045 62 14 16
|
|
purge 447 0 21 10
|
|
puri 115 6 6 2
|
|
purnell 618 38 11 7
|
|
purnomo 147 2 31 1
|
|
purpura 123 1 1 1
|
|
purser 51 67 4 2
|
|
pursued 317 3 39 22
|
|
pursuer 229 2 2 0
|
|
pursuers 15 0 4 128
|
|
purtzer 293 0 0 0
|
|
purvis 174 50 11 9
|
|
puryear 105 7 2 0
|
|
puss 131 4 0 2
|
|
putin 21785 34 200 169
|
|
putman 74 46 2 2
|
|
putt 2955 643 756 95
|
|
putts 538 90 79 350
|
|
putz 100 0 2 0
|
|
puyol 97 0 1 2
|
|
pyatt 167 24 1 4
|
|
pyle 370 56 7 12
|
|
pyne 102 13 6 0
|
|
qaddafi 176 0 4 3
|
|
qader 275 2 1 0
|
|
qadoos 179 1 0 0
|
|
qadus 260 0 0 0
|
|
qais 134 0 0 0
|
|
qanbar 245 0 4 0
|
|
qanooni 803 0 0 1
|
|
qarase 298 1 8 10
|
|
qasim 249 0 0 4
|
|
qassem 253 4 0 2
|
|
qassis 147 0 0 0
|
|
qataris 4 1 1 159
|
|
qazi 265 14 7 15
|
|
qb 693 1 11 18
|
|
qbs 5 0 2 124
|
|
qc 274 39 49 21
|
|
qorei 719 0 3 4
|
|
qosi 164 0 0 0
|
|
quad 95 8 59 14
|
|
quadriceps 882 54 4 3
|
|
quadriplegic 442 4 1 1
|
|
quaid 281 8 5 1
|
|
quail 141 1 7 15
|
|
qualifications 47 8 30 391
|
|
qualifier 1810 57 75 39
|
|
qualities 168 39 95 317
|
|
qualls 331 35 4 4
|
|
qualms 55 6 42 29
|
|
quantrill 182 1 1 1
|
|
quarles 215 32 8 4
|
|
quarterback 28220 75 462 288
|
|
quarterbacks 146 0 58 2967
|
|
quarterfinal 27 36 27 11
|
|
quarterfinals 75 23 55 24
|
|
quattrocchi 289 4 0 2
|
|
quattrone 6316 2 6 7
|
|
quay 105 11 11 9
|
|
quayle 239 27 4 2
|
|
que 186 17 21 29
|
|
quebecers 15 1 5 269
|
|
queen 346 6230 179 138
|
|
queenslander 391 48 4 1
|
|
queenslanders 7 0 4 124
|
|
queiroz 515 1 1 5
|
|
quenneville 312 9 3 4
|
|
quentin 456 10 2 0
|
|
queria 109 0 1 0
|
|
queries 27 3 10 406
|
|
query 49 22 45 9
|
|
questioner 427 37 9 1
|
|
questioners 4 0 1 146
|
|
questioning 657 99 149 157
|
|
questions 1774 435 1387 3750
|
|
questrom 289 0 0 0
|
|
quick 1970 115 106 107
|
|
quickness 560 14 58 17
|
|
quiet 198 37 79 175
|
|
quigley 1910 143 18 13
|
|
quillen 99 20 1 2
|
|
quilts 9 6 4 207
|
|
quimby 141 88 3 2
|
|
quincy 192 13 108 25
|
|
quinlan 499 74 19 11
|
|
quinn 4831 668 119 117
|
|
quinones 169 66 2 2
|
|
quinonez 150 5 0 0
|
|
quins 13 0 7 276
|
|
quintal 152 7 5 0
|
|
quintana 167 48 3 2
|
|
quintanilla 121 6 0 2
|
|
quintero 251 27 2 3
|
|
quirk 180 31 8 11
|
|
quiroga 120 9 3 1
|
|
quiroz 101 62 0 0
|
|
quivers 1 145 0 1
|
|
qurei 622 0 7 9
|
|
qureia 12479 0 47 22
|
|
qureshi 202 14 0 7
|
|
qurie 1016 0 4 0
|
|
qusai 2041 0 2 85
|
|
qusay 441 3 2 25
|
|
qutb 479 4 0 4
|
|
r 1069 55 199 62
|
|
ra 100 11 51 16
|
|
raab 91 72 6 0
|
|
raad 117 1 0 1
|
|
rab 48 5 33 14
|
|
rabbi 1694 27 11 21
|
|
rabbis 8 29 10 728
|
|
rabbit 164 40 137 17
|
|
rabbitohs 7 0 2 107
|
|
rabbitte 99 0 3 5
|
|
rabe 66 36 3 12
|
|
rabin 536 6 6 9
|
|
rabinowitz 134 10 5 5
|
|
racan 156 0 1 0
|
|
racehorse 163 10 24 0
|
|
racer 1300 55 40 28
|
|
races 370 76 343 4188
|
|
rach 109 7 0 0
|
|
rachael 4 230 5 5
|
|
rachel 38 1846 32 55
|
|
racicot 464 9 2 2
|
|
racine 216 20 45 4
|
|
racist 158 4 21 8
|
|
radanovich 103 0 4 2
|
|
radcliff 61 43 10 2
|
|
radcliffe 180 1731 32 17
|
|
radebe 314 5 6 14
|
|
radenovic 119 0 0 0
|
|
rader 215 51 4 9
|
|
radford 153 54 92 32
|
|
radhakrishnan 110 1 6 1
|
|
radhi 105 1 0 1
|
|
radical 462 17 57 11
|
|
radiologist 79 10 3 13
|
|
radke 1094 13 6 4
|
|
radler 159 1 0 5
|
|
radmanovic 136 0 2 1
|
|
radojevic 163 0 0 0
|
|
radolovich 135 0 0 0
|
|
radwanski 386 2 3 0
|
|
radzinski 163 2 1 0
|
|
rae 436 77 15 37
|
|
raed 169 0 0 1
|
|
rael 439 7 3 3
|
|
rafael 165 3 20 4
|
|
rafalski 150 1 2 0
|
|
rafay 122 0 0 1
|
|
raffarin 2240 1 43 22
|
|
rafferty 263 32 3 7
|
|
rafidah 0 78 15 9
|
|
rafiq 142 8 0 2
|
|
rafique 173 1 0 4
|
|
rafsanjani 150 0 1 2
|
|
rafter 496 18 3 6
|
|
rafts 1 0 0 164
|
|
ragan 94 77 0 4
|
|
raggio 109 8 2 2
|
|
raghad 7 1377 0 69
|
|
ragland 227 103 1 5
|
|
ragnarsson 155 0 1 0
|
|
ragone 242 5 0 0
|
|
rags 14 5 3 248
|
|
ragsdale 205 52 20 8
|
|
rahal 311 1 3 2
|
|
rahall 103 0 4 70
|
|
raheem 477 0 2 1
|
|
rahim 322 51 0 11
|
|
rahlves 348 0 4 2
|
|
rahman 1925 26 16 15
|
|
rahn 166 22 19 3
|
|
rahul 687 10 9 18
|
|
rai 161 101 68 22
|
|
raich 77 409 4 14
|
|
raider 418 9 15 12
|
|
raiders 479 15 268 16169
|
|
raids 71 4 47 2918
|
|
raifsnider 126 1 0 0
|
|
raikkonen 1682 0 2 28
|
|
raila 222 2 7 14
|
|
railcats 2 0 1 98
|
|
raimi 366 0 3 0
|
|
raimondo 216 1 0 0
|
|
rainbows 4 0 3 250
|
|
rainer 99 19 4 3
|
|
raines 2815 75 54 26
|
|
rainey 375 157 10 18
|
|
rainie 3 114 0 1
|
|
rains 270 47 202 466
|
|
rais 238 3 5 8
|
|
raiser 121 3 90 9
|
|
raitt 254 31 0 0
|
|
raiyshi 0 138 0 0
|
|
raj 215 7 17 9
|
|
raja 268 16 9 46
|
|
rajan 107 8 4 12
|
|
rajapakse 320 0 0 0
|
|
rajiv 242 6 1 14
|
|
rajkumar 202 0 0 2
|
|
rajoub 461 0 1 1
|
|
rajoy 294 0 6 3
|
|
raju 125 7 7 7
|
|
rakhmonov 161 0 0 0
|
|
rakoff 458 3 0 5
|
|
raley 209 5 8 6
|
|
ralf 1261 0 11 5
|
|
rall 227 20 2 0
|
|
ralph 1144 109 28 20
|
|
ralphie 233 1 0 0
|
|
ralston 2153 49 38 16
|
|
ram 542 16 160 22
|
|
rama 98 8 4 10
|
|
ramaala 172 0 0 0
|
|
ramachandran 105 0 10 22
|
|
ramadan 1326 4 90 35
|
|
ramage 232 44 1 6
|
|
ramallah 69 4 34 16
|
|
rambo 573 62 3 5
|
|
ramesh 165 6 1 5
|
|
ramey 265 46 4 3
|
|
rami 253 1 4 2
|
|
ramige 389 0 0 2
|
|
ramirez 8262 542 62 80
|
|
rammell 274 1 3 4
|
|
ramon 1601 21 2 7
|
|
ramone 341 1 0 0
|
|
ramones 11 1 7 445
|
|
ramos 1747 324 11 50
|
|
rams 249 8 177 9558
|
|
ramsay 649 60 55 16
|
|
ramsey 4176 358 58 81
|
|
rana 397 122 5 17
|
|
ranariddh 360 0 2 0
|
|
ranatunga 123 2 0 2
|
|
rancher 1004 22 10 15
|
|
rancic 306 0 1 0
|
|
randa 395 2 0 5
|
|
randal 126 4 0 1
|
|
randall 4056 315 53 48
|
|
randazzo 91 9 0 2
|
|
randell 230 4 6 8
|
|
randhawa 216 3 3 4
|
|
randle 507 37 1 9
|
|
randolph 3086 119 67 37
|
|
randt 100 0 1 5
|
|
randy 1694 27 23 51
|
|
raney 99 18 3 3
|
|
rangel 707 83 18 14
|
|
ranger 1489 42 76 46
|
|
rangers 732 9 270 16655
|
|
rani 6 164 1 1
|
|
ranieri 2899 14 18 51
|
|
rankin 617 143 7 32
|
|
rankings 159 19 113 400
|
|
ranks 177 19 89 2223
|
|
rann 209 0 5 6
|
|
ransburg 88 7 1 4
|
|
ransom 909 55 32 66
|
|
ranson 98 18 6 1
|
|
rantisi 2721 2 8 13
|
|
rantissi 478 0 4 3
|
|
rants 251 14 3 10
|
|
rao 1055 93 26 19
|
|
rape 225 114 192 64
|
|
raper 165 9 3 4
|
|
raphael 155 45 6 2
|
|
rapids 24 2 18 475
|
|
rapist 1941 29 7 25
|
|
rapists 4 3 2 312
|
|
rapkin 216 7 1 0
|
|
rapoport 160 9 0 0
|
|
rapp 272 81 5 8
|
|
rappaport 56 37 6 8
|
|
rapper 3810 104 14 25
|
|
rappers 25 2 7 608
|
|
rapport 59 11 44 31
|
|
raptis 121 0 0 0
|
|
raptors 96 0 54 4561
|
|
rardin 106 2 0 0
|
|
rash 152 48 95 68
|
|
rasha 0 163 0 0
|
|
rashad 78 117 3 1
|
|
rashdan 257 1 5 0
|
|
rasheed 543 9 15 8
|
|
rashid 1115 16 23 21
|
|
raskin 95 8 5 1
|
|
rasmussen 702 125 22 26
|
|
rasool 133 13 7 8
|
|
rassmann 550 0 0 4
|
|
rasul 95 11 1 1
|
|
ratay 0 169 0 0
|
|
ratcliff 85 39 1 9
|
|
ratcliffe 101 26 7 4
|
|
ratepayers 7 0 6 435
|
|
rath 114 20 18 2
|
|
rathbone 223 9 6 8
|
|
rathbun 311 40 1 6
|
|
rather 985 2 2 3
|
|
rathje 275 2 1 0
|
|
rathore 228 0 3 6
|
|
ratliff 1294 88 59 20
|
|
ratner 549 11 7 9
|
|
rato 622 0 12 7
|
|
rats 25 4 23 1901
|
|
rattay 1911 1 11 2
|
|
rattigan 97 5 0 3
|
|
rattlers 15 0 11 998
|
|
ratzinger 190 0 1 1
|
|
rau 296 33 12 7
|
|
rauch 382 24 2 14
|
|
raul 1069 1 3 18
|
|
raupp 166 3 0 2
|
|
rausch 87 29 3 7
|
|
rauschenberger 201 0 0 0
|
|
rave 414 12 27 7
|
|
raven 360 85 49 8
|
|
ravenel 157 4 1 2
|
|
ravens 126 1 71 5396
|
|
ravi 119 3 3 6
|
|
rawl 107 2 0 0
|
|
rawlings 758 31 95 20
|
|
rawlins 94 24 3 4
|
|
rawlinson 105 6 3 3
|
|
rawls 489 48 9 43
|
|
rawson 121 28 3 8
|
|
ray 4764 569 170 167
|
|
rayburn 255 4 19 7
|
|
raycroft 502 0 3 4
|
|
raymer 183 8 1 2
|
|
raymond 928 911 123 65
|
|
rayner 118 30 6 7
|
|
raynor 193 24 5 5
|
|
raynsford 116 3 10 5
|
|
rays 53 3 22 1322
|
|
rayz 2 0 1 216
|
|
raza 103 8 4 1
|
|
razali 654 54 6 3
|
|
razmilovic 123 0 1 0
|
|
razor 68 34 41 5
|
|
razouk 222 0 0 0
|
|
razov 224 0 0 4
|
|
razzakov 119 0 0 0
|
|
razzaq 271 0 0 2
|
|
rbis 1347 28 336 219
|
|
rc 107 4 22 7
|
|
rea 240 40 27 15
|
|
read 1014 110 159 72
|
|
readdy 287 0 0 4
|
|
reader 1107 438 273 247
|
|
ready 40 33 18 11
|
|
reagan 26546 873 166 106
|
|
realist 32 79 6 1
|
|
realtor 144 81 32 51
|
|
ream 92 21 5 3
|
|
reames 104 2 1 4
|
|
reams 66 26 17 28
|
|
reardon 487 59 14 34
|
|
reaves 293 27 6 5
|
|
rebeca 0 663 2 2
|
|
rebecca 17 1139 8 41
|
|
rebekah 2 105 1 1
|
|
rebel 1399 75 33 41
|
|
reboulet 104 0 0 0
|
|
rebounder 606 36 0 0
|
|
recalls 105 46 35 29
|
|
recchi 706 0 5 17
|
|
receiver 11388 17 277 155
|
|
receivers 123 0 67 3240
|
|
receiving 3856 25 94 57
|
|
reception 342 35 258 99
|
|
receptionist 139 285 26 31
|
|
receptions 1388 0 16 35
|
|
recht 264 2 0 1
|
|
recipient 670 203 169 321
|
|
recker 118 4 1 3
|
|
recluse 245 13 4 1
|
|
recognizance 209 33 0 22
|
|
recollection 46 13 37 10
|
|
recordings 36 16 25 913
|
|
records 2344 719 872 2716
|
|
recruit 2053 102 25 61
|
|
recruiter 745 56 28 28
|
|
recruiters 77 3 24 1864
|
|
rector 524 45 13 17
|
|
recuperation 243 1 4 1
|
|
redbacks 2 0 1 99
|
|
redbirds 11 1 10 553
|
|
redd 704 71 5 10
|
|
redden 136 20 0 2
|
|
reddick 88 203 4 5
|
|
redding 764 54 38 14
|
|
reddy 704 64 41 36
|
|
redfern 147 16 13 3
|
|
redford 529 22 7 4
|
|
redgrave 103 70 2 3
|
|
redhead 46 212 6 4
|
|
redick 1126 4 0 3
|
|
redknapp 1188 0 10 11
|
|
redman 2215 64 8 20
|
|
redmer 132 0 0 2
|
|
redmon 98 11 0 3
|
|
redmond 534 186 289 29
|
|
reds 536 16 75 11552
|
|
redshirt 964 9 5 14
|
|
redskins 242 4 95 5417
|
|
redstone 1548 25 26 3
|
|
reece 317 134 7 11
|
|
reed 8654 1343 232 145
|
|
reeder 167 68 4 11
|
|
reels 22 1 5 119
|
|
rees 475 90 11 21
|
|
reese 2532 340 43 69
|
|
reeve 4820 92 13 85
|
|
reeves 3613 476 40 48
|
|
ref 608 10 101 18
|
|
referee 6087 99 167 118
|
|
reflexes 64 0 7 34
|
|
reformer 68 16 15 7
|
|
reformers 14 0 11 1333
|
|
reformist 204 1 3 6
|
|
refugee 3130 84 234 38
|
|
refuse 77 4 52 146
|
|
reg 108 0 15 2
|
|
regan 2985 167 13 15
|
|
regehr 133 0 2 0
|
|
regent 112 12 87 11
|
|
reggie 486 37 7 9
|
|
regier 834 7 2 14
|
|
regina 20 282 62 31
|
|
registrar 322 265 142 89
|
|
rego 96 19 4 3
|
|
regula 165 11 3 1
|
|
regular 1604 64 48 27
|
|
rehabilitation 317 48 172 50
|
|
rehaief 101 3 0 0
|
|
rehberg 336 39 4 6
|
|
rehhagel 448 0 4 5
|
|
rehkopf 104 1 2 0
|
|
rehman 438 9 13 11
|
|
rehn 72 85 5 6
|
|
rehnquist 2843 174 15 7
|
|
reibman 170 1 7 2
|
|
reich 570 34 9 9
|
|
reichardt 98 13 0 1
|
|
reichel 167 15 3 1
|
|
reichert 527 74 0 8
|
|
reichmann 332 3 6 2
|
|
reid 12104 701 124 153
|
|
reidy 158 18 5 2
|
|
reilly 3151 238 40 51
|
|
reimer 184 50 2 1
|
|
rein 50 38 47 35
|
|
reiner 310 7 3 1
|
|
reinert 113 16 1 2
|
|
reinhard 86 21 1 2
|
|
reinhardt 132 43 10 3
|
|
reinhart 110 70 18 0
|
|
reinprecht 173 0 1 0
|
|
reinsdorf 191 2 1 2
|
|
reis 324 50 4 3
|
|
reiser 125 29 0 3
|
|
reisman 75 33 37 2
|
|
reiss 407 42 5 0
|
|
reiter 109 85 3 5
|
|
reitsma 354 1 6 0
|
|
reitz 213 29 20 3
|
|
relaford 277 1 2 1
|
|
relative 1104 808 361 457
|
|
relatives 1740 1153 128 23065
|
|
relics 6 0 4 169
|
|
reliever 3376 64 41 20
|
|
relievers 102 0 9 934
|
|
rell 57 2019 33 17
|
|
reller 160 0 0 0
|
|
remains 1134 312 1071 1915
|
|
remarks 1373 101 303 728
|
|
rembrandt 239 1 16 3
|
|
remington 131 29 73 5
|
|
remlinger 150 1 1 1
|
|
remorse 78 4 41 13
|
|
remy 246 25 5 3
|
|
ren 148 17 5 1
|
|
rena 2 134 0 3
|
|
renaldo 136 0 1 0
|
|
renaud 107 17 1 0
|
|
renberg 171 0 7 4
|
|
rendell 4803 31 72 53
|
|
rene 293 67 3 2
|
|
renee 21 339 5 19
|
|
renfro 95 33 6 4
|
|
renkes 150 0 5 1
|
|
renna 257 14 0 1
|
|
renner 196 68 5 10
|
|
renney 236 0 2 1
|
|
rennie 175 13 4 3
|
|
reno 176 356 143 47
|
|
renshaw 52 89 5 4
|
|
renter 53 21 13 30
|
|
renteria 1238 25 4 13
|
|
renuart 215 7 6 0
|
|
renwick 105 8 2 2
|
|
renzi 283 11 2 5
|
|
rep 190 140 131 91
|
|
repairman 230 3 6 6
|
|
repercussions 17 105 42 49
|
|
replacement 5028 130 336 106
|
|
replays 2584 2 83 37
|
|
replies 11 3 4 172
|
|
reporter 13929 1207 318 342
|
|
reporters 3345 342 939 6198
|
|
reports 5069 967 3876 4226
|
|
representative 12561 1799 1215 1352
|
|
representatives 822 199 745 24163
|
|
reprimand 598 12 17 13
|
|
reprimands 2 1 1 277
|
|
reps 52 20 51 775
|
|
republican 12941 535 155 228
|
|
republicans 1197 183 1124 64515
|
|
rescuer 139 34 2 7
|
|
rescuers 133 133 39 7119
|
|
rescues 6 1 2 284
|
|
researcher 2236 249 187 94
|
|
reser 101 14 1 1
|
|
reservist 1545 91 11 25
|
|
residency 85 12 63 16
|
|
resident 17776 10438 394 1263
|
|
resignation 1507 103 1272 121
|
|
resnick 100 42 6 10
|
|
resor 3 143 0 1
|
|
respite 94 15 50 71
|
|
respondent 302 58 48 53
|
|
ressam 355 0 0 0
|
|
restart 318 0 24 9
|
|
restaurateur 320 7 14 6
|
|
resume 452 58 384 54
|
|
retaliation 167 19 130 88
|
|
retiree 1639 251 13 24
|
|
retirement 757 125 729 481
|
|
retton 1 169 1 0
|
|
returner 765 2 3 8
|
|
returners 5 0 3 133
|
|
reuben 188 7 1 7
|
|
reubens 398 2 0 12
|
|
reuland 147 2 0 1
|
|
reuter 82 34 7 5
|
|
rev 674 61 78 43
|
|
revelation 837 21 371 34
|
|
revell 359 29 3 12
|
|
revels 33 617 8 7
|
|
revenge 237 64 230 181
|
|
reverend 164 15 4 11
|
|
reviewer 496 42 20 9
|
|
revocation 305 0 11 5
|
|
revolutionary 232 2 19 17
|
|
revolvers 94 0 0 13
|
|
rex 573 21 130 33
|
|
rey 440 33 40 46
|
|
reyat 529 0 2 1
|
|
reyes 5495 540 49 140
|
|
reyna 475 56 4 6
|
|
reynolds 4670 988 426 141
|
|
reza 96 16 2 4
|
|
rezazadeh 149 0 0 0
|
|
rhea 60 64 4 6
|
|
rhoades 252 208 6 8
|
|
rhoads 162 72 3 1
|
|
rhode 133 34 0 2
|
|
rhoden 208 12 2 2
|
|
rhodes 3106 387 76 61
|
|
rhonda 8 149 6 23
|
|
rhoten 126 7 0 0
|
|
rhymes 92 8 3 28
|
|
rib 700 22 32 5
|
|
ribeiro 387 12 2 0
|
|
ribs 214 53 29 81
|
|
ributti 117 0 0 0
|
|
ric 77 3 34 4
|
|
ricard 123 7 14 0
|
|
ricardo 693 8 27 3
|
|
ricci 795 70 6 7
|
|
ricciardi 620 9 11 18
|
|
ricciardone 133 0 1 7
|
|
riccio 181 16 4 3
|
|
riccitelli 100 1 21 0
|
|
rice 7085 4718 1666 305
|
|
rich 1340 299 76 712
|
|
richard 4289 230 108 113
|
|
richards 5516 932 83 127
|
|
richardson 15382 1193 193 193
|
|
richer 80 12 6 7
|
|
richetelli 183 0 5 1
|
|
richey 324 62 3 10
|
|
richie 468 66 5 12
|
|
richman 340 78 4 13
|
|
richt 2338 0 16 31
|
|
richter 966 105 30 16
|
|
rick 2291 23 33 55
|
|
rickard 106 40 2 0
|
|
ricke 250 5 10 0
|
|
ricker 196 70 3 6
|
|
rickert 321 49 3 0
|
|
ricketson 107 1 0 0
|
|
ricketts 342 76 10 16
|
|
rickey 227 7 5 0
|
|
rickman 204 15 2 2
|
|
ricks 305 45 4 14
|
|
ricksen 171 0 8 3
|
|
ricky 2705 10 36 25
|
|
rico 910 25 20 13
|
|
riddell 125 15 2 7
|
|
ridder 153 24 7 3
|
|
riddick 276 27 11 2
|
|
riddle 555 131 34 28
|
|
ridenour 143 31 1 5
|
|
rider 5088 294 179 183
|
|
ridge 8556 38 332 67
|
|
ridgeway 144 56 22 8
|
|
ridgway 2855 27 18 35
|
|
riding 261 82 236 176
|
|
ridings 98 4 3 23
|
|
ridley 284 72 46 8
|
|
ridnour 580 0 2 17
|
|
ridsdale 195 0 2 3
|
|
rieckhoff 147 1 0 2
|
|
riedel 127 42 3 0
|
|
riedling 213 0 0 0
|
|
riefenstahl 0 757 1 0
|
|
rieger 97 8 3 0
|
|
riegger 231 0 0 2
|
|
riemersma 128 3 0 0
|
|
ries 81 26 4 6
|
|
rietveld 618 1 0 1
|
|
rifkin 103 13 4 4
|
|
rigali 360 0 0 3
|
|
rigas 1002 3 1 3
|
|
rigases 11 0 1 470
|
|
rigby 122 78 12 12
|
|
riggins 189 16 4 12
|
|
riggle 210 10 5 3
|
|
riggs 723 114 555 19
|
|
righetti 177 4 18 2
|
|
righthander 3462 13 5 0
|
|
righty 656 1 2 3
|
|
rigoni 20 153 0 0
|
|
rigsby 77 21 0 2
|
|
riise 110 5 0 4
|
|
rijkaard 167 0 1 4
|
|
rijo 220 0 2 0
|
|
riley 10299 668 189 225
|
|
rill 132 1 0 0
|
|
rilya 0 437 0 1
|
|
rimando 130 5 0 0
|
|
rimes 6 172 2 0
|
|
rimmer 94 9 2 2
|
|
rinaldi 209 37 3 8
|
|
rincon 572 24 19 7
|
|
rinehart 151 47 1 3
|
|
rines 90 15 0 5
|
|
rinetti 417 0 0 0
|
|
ringer 123 28 0 6
|
|
ringleader 586 3 0 13
|
|
ringo 104 2 4 3
|
|
rinker 62 15 49 6
|
|
rinpoche 110 0 2 0
|
|
riordan 1246 53 16 6
|
|
rios 1008 142 22 13
|
|
rioters 17 1 6 597
|
|
rip 186 1 12 2
|
|
ripa 5 181 4 5
|
|
ripken 672 0 7 3
|
|
ripley 148 144 46 21
|
|
ripper 116 3 18 2
|
|
rippy 89 24 1 2
|
|
risebrough 97 3 1 2
|
|
riske 252 13 1 0
|
|
risking 124 21 2 119
|
|
risley 118 18 3 3
|
|
rison 702 5 5 0
|
|
rita 97 414 28 14
|
|
ritchey 90 16 2 5
|
|
ritchie 1181 161 52 28
|
|
ritter 2420 191 43 25
|
|
ritts 158 3 0 2
|
|
rituals 14 1 11 331
|
|
ritz 155 19 35 12
|
|
rival 1897 151 1753 205
|
|
rivaldo 984 1 3 38
|
|
rivals 360 46 346 12565
|
|
rivard 136 47 2 3
|
|
rivas 560 96 1 8
|
|
rivera 7776 494 77 87
|
|
riverkings 1 0 0 116
|
|
rivero 441 35 3 6
|
|
rivers 4226 350 226 922
|
|
rivet 150 7 8 2
|
|
riviera 76 0 38 4
|
|
rivkin 996 28 13 9
|
|
rivlin 181 8 9 3
|
|
rix 2395 4 5 15
|
|
rizzo 845 72 9 10
|
|
rizzuto 182 12 0 0
|
|
rj 219 5 9 9
|
|
roa 182 15 2 9
|
|
roach 1661 320 31 39
|
|
roache 810 9 0 1
|
|
roadside 28 5 22 148
|
|
roar 517 1 47 24
|
|
roark 112 30 4 5
|
|
rob 1494 14 25 56
|
|
robb 562 104 8 11
|
|
robben 520 10 15 4
|
|
robber 3736 135 24 54
|
|
robberies 26 0 19 93
|
|
robbers 159 33 24 3152
|
|
robbie 1025 26 14 17
|
|
robbins 5216 549 51 45
|
|
robby 637 2 2 5
|
|
roberson 1874 167 60 17
|
|
robert 3494 123 39 98
|
|
roberta 4 290 1 4
|
|
roberto 316 13 5 8
|
|
roberts 14029 2313 228 259
|
|
robertson 5631 690 116 110
|
|
robes 42 4 3 1505
|
|
robeson 181 19 7 1
|
|
robey 175 27 2 4
|
|
robichaud 449 10 1 1
|
|
robidoux 7 462 0 1
|
|
robin 375 332 32 38
|
|
robinho 93 2 6 0
|
|
robins 283 29 9 211
|
|
robinson 29202 2509 366 390
|
|
robiskie 437 0 3 2
|
|
robison 230 204 4 9
|
|
robitaille 609 10 1 8
|
|
robles 357 113 2 11
|
|
robredo 854 0 0 1
|
|
robson 2076 67 30 58
|
|
roby 218 65 7 5
|
|
robyn 14 121 0 5
|
|
roca 107 13 2 1
|
|
rocancourt 112 0 0 0
|
|
rocca 251 86 2 7
|
|
rocchigiani 118 0 2 0
|
|
rocco 423 53 4 8
|
|
rocha 435 555 3 41
|
|
roche 1694 117 1241 50
|
|
rochelle 53 60 43 8
|
|
rochus 224 0 0 2
|
|
rockefeller 1027 18 21 9
|
|
rockefellers 1 0 0 110
|
|
rocker 1557 88 20 15
|
|
rockies 215 0 51 4621
|
|
rocklin 4 80 17 1
|
|
rocks 129 20 115 3168
|
|
rockwell 256 37 145 8
|
|
rocky 426 8 150 28
|
|
roco 419 10 5 5
|
|
rod 1656 15 137 36
|
|
roddey 409 4 11 2
|
|
roddick 23326 42 66 166
|
|
roddy 212 26 4 7
|
|
roden 118 16 7 18
|
|
rodent 151 2 51 1
|
|
roderick 147 45 4 7
|
|
rodgers 2587 285 26 50
|
|
rodier 88 3 6 6
|
|
rodiles 124 0 0 0
|
|
rodin 20 142 3 1
|
|
rodman 1326 17 6 1
|
|
rodney 663 33 24 15
|
|
rodrigo 128 16 0 2
|
|
rodrigues 452 60 12 9
|
|
rodriguez 27244 1146 250 271
|
|
rodriquez 115 33 5 7
|
|
rodríguez 127 13 1 3
|
|
roe 1168 113 47 28
|
|
roeder 528 36 3 16
|
|
roemer 256 22 3 3
|
|
roenick 1895 5 12 17
|
|
roesch 152 25 7 1
|
|
roethlisberger 4407 3 18 16
|
|
rofe 102 1 0 0
|
|
roff 220 5 7 4
|
|
rogan 168 16 2 7
|
|
rogell 118 1 0 0
|
|
roger 2265 16 65 38
|
|
rogers 12077 1126 598 243
|
|
rogerson 157 17 1 1
|
|
rogge 1473 22 23 36
|
|
rogue 548 8 18 10
|
|
roh 11358 8 82 53
|
|
rohan 182 22 5 4
|
|
rohde 307 10 6 6
|
|
rohn 60 27 19 4
|
|
rohr 151 92 21 10
|
|
rohrabacher 205 0 13 2
|
|
rohrer 108 21 1 3
|
|
rohter 168 0 0 0
|
|
roitman 230 4 0 0
|
|
rojas 418 87 2 13
|
|
rokocoko 176 0 0 0
|
|
roland 400 73 15 28
|
|
rolen 3092 2 5 36
|
|
roles 193 113 161 472
|
|
rolfe 112 10 1 5
|
|
rolle 1064 15 8 6
|
|
roller 101 82 64 23
|
|
rollins 2065 157 46 21
|
|
rollo 361 3 2 4
|
|
rolls 168 23 164 228
|
|
roloson 735 0 2 16
|
|
rolston 436 9 3 5
|
|
romaine 317 8 8 2
|
|
roman 1199 186 17 21
|
|
romane 163 0 0 0
|
|
romanek 165 1 0 0
|
|
romanian 284 7 1 4
|
|
romanians 3 0 2 489
|
|
romano 751 105 8 15
|
|
romanow 265 5 12 14
|
|
romanowski 934 3 13 4
|
|
romans 113 9 22 334
|
|
romar 250 2 3 4
|
|
romario 318 0 1 1
|
|
romberg 138 5 2 0
|
|
romeo 470 23 34 8
|
|
romer 126 8 6 1
|
|
romero 2243 385 33 41
|
|
romley 325 1 2 13
|
|
romney 6231 28 85 47
|
|
romo 379 44 5 5
|
|
romulo 132 1 2 2
|
|
ron 1801 28 58 76
|
|
ronald 490 7 6 15
|
|
ronaldinho 1425 0 6 14
|
|
ronaldo 2941 3 18 40
|
|
ronan 108 11 6 1
|
|
rone 225 8 0 0
|
|
roney 177 37 3 2
|
|
ronnie 1424 39 4 19
|
|
ronning 431 3 0 0
|
|
ronstadt 23 402 0 1
|
|
rood 303 20 0 7
|
|
roofer 120 4 1 4
|
|
rooke 94 9 3 2
|
|
rookie 18107 255 174 70
|
|
rookies 44 3 26 1916
|
|
rooks 160 25 0 11
|
|
roommate 1005 445 23 102
|
|
roommates 41 19 9 584
|
|
rooney 5759 121 47 100
|
|
roos 371 45 17 213
|
|
roosevelt 1006 27 165 31
|
|
rooster 129 1 29 10
|
|
root 246 116 147 63
|
|
rop 119 3 21 1
|
|
roper 519 87 29 21
|
|
ropes 235 12 39 55
|
|
ropp 129 6 0 1
|
|
roque 403 78 1 4
|
|
rorex 11 95 0 1
|
|
rork 180 9 0 0
|
|
rory 150 28 3 6
|
|
rosa 392 263 9 29
|
|
rosacker 108 1 0 0
|
|
rosado 123 36 1 3
|
|
rosales 246 1488 33 15
|
|
rosario 288 71 5 27
|
|
rosas 91 22 2 16
|
|
roscoe 147 14 19 6
|
|
rose 21161 1292 1910 524
|
|
roseanne 0 96 10 4
|
|
roseberry 110 6 0 1
|
|
roseboro 160 0 7 1
|
|
rosemary 1 159 16 13
|
|
rosen 1459 220 16 32
|
|
rosenbaum 788 44 10 5
|
|
rosenberg 897 238 24 23
|
|
rosenberger 110 24 2 4
|
|
rosenblatt 101 31 5 5
|
|
rosenblum 94 23 1 4
|
|
rosenfeld 189 19 1 1
|
|
rosenfield 148 5 4 3
|
|
rosenhaus 428 0 0 1
|
|
rosenior 104 0 0 0
|
|
rosenstein 360 29 2 1
|
|
rosenthal 1713 111 20 43
|
|
roses 79 42 40 777
|
|
roshal 17 0 0 115
|
|
rosie 22 524 13 8
|
|
rosin 101 9 0 1
|
|
roslin 89 3 27 2
|
|
rosoff 143 1 0 12
|
|
ross 8645 1452 326 167
|
|
rossellini 1 107 0 0
|
|
rossello 347 3 3 3
|
|
rosser 147 19 4 6
|
|
rossi 3595 122 29 22
|
|
rossiter 119 20 3 4
|
|
rossley 304 0 1 1
|
|
rossman 91 100 0 7
|
|
rossum 31 807 0 4
|
|
rost 238 34 6 6
|
|
rotenberg 96 5 9 0
|
|
roth 1951 278 46 53
|
|
rothenberg 103 15 0 1
|
|
rothermel 89 12 0 3
|
|
rothman 273 13 5 3
|
|
rothschild 182 36 55 9
|
|
rothstein 326 54 1 3
|
|
rothwell 58 33 12 7
|
|
rotondo 96 3 1 4
|
|
rottenberg 8 115 0 0
|
|
rottweiler 77 7 23 4
|
|
rouen 101 0 0 1
|
|
rough 285 94 197 23
|
|
rounds 9085 72 242 457
|
|
roundtree 103 8 0 0
|
|
rountree 574 45 2 4
|
|
rourke 154 33 3 4
|
|
rouse 449 28 72 13
|
|
roush 1477 295 15 23
|
|
rousseau 306 19 9 4
|
|
roussel 75 65 7 2
|
|
routh 99 15 2 2
|
|
roux 177 22 12 9
|
|
rove 1018 0 2 21
|
|
rovers 43 0 24 2943
|
|
rowan 237 64 125 20
|
|
rowand 445 2 3 0
|
|
rowdiness 121 0 4 0
|
|
rowe 1813 451 53 51
|
|
rowell 168 102 7 9
|
|
rowen 147 6 0 0
|
|
rower 144 23 3 0
|
|
rowhani 263 0 8 4
|
|
rowland 15536 1268 67 100
|
|
rowlands 243 17 0 21
|
|
rowlett 19 97 33 1
|
|
rowley 227 198 7 4
|
|
rowling 92 2368 8 9
|
|
rowsey 236 16 0 0
|
|
roxas 133 2 4 7
|
|
roxie 0 129 1 0
|
|
roxy 6 268 14 5
|
|
roy 7090 307 104 123
|
|
royal 767 72 440 41
|
|
royals 354 8 106 8040
|
|
royce 162 20 6 2
|
|
royer 251 42 1 5
|
|
royle 310 3 3 6
|
|
royster 75 57 2 2
|
|
rozelle 210 11 1 1
|
|
rozier 130 18 1 1
|
|
rua 113 2 0 1
|
|
ruane 51 61 2 19
|
|
rubaie 189 0 4 0
|
|
ruben 378 28 7 21
|
|
rubens 275 7 13 7
|
|
rubenstein 193 188 12 8
|
|
ruberto 223 0 1 1
|
|
rubin 2355 595 34 46
|
|
rubino 128 16 0 6
|
|
rubinstein 183 20 20 7
|
|
rubio 427 87 4 10
|
|
ruble 66 13 45 1
|
|
ruby 245 452 225 20
|
|
rucchin 505 0 1 9
|
|
ruch 96 5 6 4
|
|
rucinsky 213 0 3 0
|
|
ruck 90 2 11 4
|
|
rucker 784 121 5 35
|
|
ruckman 147 9 1 5
|
|
ruckriegle 1461 73 2 11
|
|
rudd 2223 80 30 21
|
|
rudder 63 13 32 4
|
|
ruddock 1243 20 32 26
|
|
ruddy 104 7 0 3
|
|
rudic 103 0 2 1
|
|
rudnick 82 21 2 2
|
|
rudolf 322 13 0 5
|
|
rudolph 6167 141 27 52
|
|
rudy 601 39 26 8
|
|
ruedrich 270 2 4 1
|
|
ruegamer 101 0 0 0
|
|
rueter 1187 2 1 0
|
|
ruff 390 90 18 8
|
|
ruffin 496 15 6 5
|
|
ruffner 176 19 2 0
|
|
rufus 142 11 1 2
|
|
ruggiero 96 63 5 3
|
|
rugs 6 0 5 129
|
|
ruiz 3962 409 52 68
|
|
rukeyser 171 0 0 0
|
|
ruler 2326 5 42 10
|
|
rulings 723 5 41 104
|
|
rumble 48 21 39 11
|
|
rumford 223 1 2 0
|
|
rummy 133 1 0 6
|
|
rumors 287 40 253 441
|
|
rumours 156 30 151 190
|
|
rumph 353 16 1 1
|
|
rumsas 101 0 1 0
|
|
rumsfeld 34456 15 582 514
|
|
rumyantsev 138 0 3 0
|
|
run 6296 414 4707 2303
|
|
runaway 20 198 3 15
|
|
runciman 101 0 6 1
|
|
rund 103 7 1 2
|
|
rundle 166 98 7 3
|
|
runge 556 21 4 3
|
|
runkle 91 16 0 1
|
|
runner 4342 573 103 160
|
|
runners 255 35 165 5385
|
|
running 71 4 64 32
|
|
runs 9201 124 1179 2501
|
|
runyan 115 1212 3 1
|
|
runyon 183 41 6 5
|
|
rupe 100 25 1 1
|
|
rupert 798 19 9 14
|
|
rupp 1089 60 8 12
|
|
ruppersberger 117 0 0 0
|
|
rusch 525 22 4 8
|
|
rusdan 105 0 0 0
|
|
rusedski 3710 1 2 12
|
|
rush 1240 203 712 415
|
|
rushdie 326 1 4 0
|
|
rusher 1771 12 10 19
|
|
rushers 8 0 6 87
|
|
rushing 2642 54 99 175
|
|
rushton 93 6 5 5
|
|
ruskin 149 11 10 4
|
|
rusnak 316 18 0 2
|
|
russ 552 45 14 14
|
|
russell 6688 930 323 175
|
|
russert 636 10 0 8
|
|
russian 1287 861 107 138
|
|
russo 1343 430 33 34
|
|
rust 1047 54 93 19
|
|
rustin 126 3 2 8
|
|
rustlers 3 0 2 113
|
|
rusty 512 6 24 7
|
|
rutan 921 6 15 11
|
|
ruth 569 702 29 43
|
|
rutherford 1305 136 38 24
|
|
rutledge 506 83 15 22
|
|
rutter 675 24 19 6
|
|
rutto 278 0 0 0
|
|
ruud 640 43 7 2
|
|
ruutu 264 0 2 4
|
|
rvd 106 2 4 0
|
|
ryals 114 36 0 0
|
|
ryan 17984 1379 363 312
|
|
ryans 34 2 0 266
|
|
rybak 275 18 3 7
|
|
rybkin 1110 8 0 2
|
|
ryder 657 1392 162 17
|
|
rye 57 21 55 14
|
|
ryen 179 1 0 0
|
|
ryu 281 4 1 4
|
|
ryun 261 0 2 1
|
|
rywin 202 0 1 0
|
|
rza 126 0 1 1
|
|
résumé 72 9 44 4
|
|
saad 543 15 5 2
|
|
saadi 475 11 1 6
|
|
saakashvili 2724 2 19 36
|
|
saarloos 129 0 0 0
|
|
saatchi 252 2 39 4
|
|
saavedra 122 12 0 2
|
|
saba 69 22 49 4
|
|
saban 5134 1 34 66
|
|
sabathia 1671 3 4 0
|
|
sabatini 105 26 2 6
|
|
sabatino 207 5 6 5
|
|
sabato 121 9 11 5
|
|
sabbah 171 2 3 1
|
|
sabbatini 1079 3 3 2
|
|
sabean 700 1 8 10
|
|
sabers 13 2 5 104
|
|
sabia 136 3 9 1
|
|
sabin 97 19 1 3
|
|
sabliere 156 0 27 3
|
|
sabo 155 67 2 4
|
|
sabonis 272 0 0 1
|
|
sabres 58 2 18 2536
|
|
sabri 642 2 6 9
|
|
sabrina 6 347 6 15
|
|
saca 254 0 17 1
|
|
sacco 205 22 4 10
|
|
sachin 613 1 17 8
|
|
sachs 435 56 13 6
|
|
sacirbey 111 0 0 0
|
|
sack 274 38 203 63
|
|
sackett 105 17 1 3
|
|
sacks 511 67 69 195
|
|
sadakata 111 0 0 0
|
|
sadat 170 21 0 2
|
|
saddam 118387 46 743 443
|
|
saddlers 4 0 2 121
|
|
sadek 223 1 0 0
|
|
sadie 6 217 4 2
|
|
sadikoglu 166 2 0 4
|
|
sadiq 617 21 0 0
|
|
sadler 2033 209 22 20
|
|
sadoun 132 0 0 0
|
|
sadr 6335 0 35 49
|
|
saeed 391 7 5 5
|
|
saenz 304 29 0 3
|
|
saez 347 6 2 2
|
|
safar 171 2 2 1
|
|
safarini 157 0 0 0
|
|
safes 1 0 0 119
|
|
safeties 14 0 13 169
|
|
safin 6701 1 8 13
|
|
safina 5 135 1 0
|
|
safire 160 0 28 7
|
|
sagal 7 116 0 0
|
|
sager 148 38 1 5
|
|
saha 876 9 36 16
|
|
sahaf 353 0 0 6
|
|
sahagun 5 481 0 0
|
|
sahel 127 0 5 8
|
|
sahhaf 205 0 1 0
|
|
sai 52 15 36 7
|
|
saia 143 8 4 0
|
|
said 1020 3 23 16
|
|
saidov 124 0 0 0
|
|
saiki 15 322 0 2
|
|
sailor 1698 92 21 41
|
|
saint 339 40 16 3
|
|
sainz 139 15 5 2
|
|
saito 154 20 6 2
|
|
sakai 89 12 2 3
|
|
sakamoto 127 24 2 0
|
|
sakic 1604 0 0 11
|
|
sakura 0 131 8 2
|
|
sal 65 48 12 0
|
|
sala 98 6 1 0
|
|
salaam 295 10 1 8
|
|
salah 403 8 1 5
|
|
salahuddin 200 1 1 7
|
|
salam 257 4 4 4
|
|
salamat 77 4 18 12
|
|
salamone 217 6 2 0
|
|
salary 1014 109 709 218
|
|
salas 252 168 9 58
|
|
salazar 2734 200 17 55
|
|
salcedo 130 31 3 10
|
|
salcido 80 25 1 1
|
|
saleem 915 4 0 5
|
|
saleh 2221 31 9 17
|
|
salehi 120 0 4 1
|
|
salei 297 0 0 0
|
|
salemme 221 0 0 1
|
|
salerno 141 29 6 3
|
|
salesman 5691 29 16 52
|
|
salesmen 11 1 5 380
|
|
salesperson 61 34 8 41
|
|
saleswoman 1 346 4 4
|
|
salgado 195 53 2 3
|
|
salih 431 6 1 36
|
|
salim 608 13 3 62
|
|
salinas 583 90 137 32
|
|
salinger 785 57 1 1
|
|
salisbury 228 88 178 38
|
|
salley 117 7 0 4
|
|
sally 36 547 12 30
|
|
salman 769 3 11 5
|
|
salmon 1115 188 230 406
|
|
salmond 184 4 2 5
|
|
salo 782 20 2 2
|
|
salomon 159 20 101 15
|
|
salter 292 86 5 10
|
|
salts 6 0 3 106
|
|
saltzman 141 11 3 1
|
|
salute 43 3 39 41
|
|
salvador 136 14 6 7
|
|
salvatore 245 21 6 2
|
|
salvini 151 0 0 0
|
|
salvo 372 14 43 9
|
|
salyer 80 25 0 5
|
|
salyers 80 842 0 2
|
|
salzman 83 31 5 4
|
|
sam 2893 367 101 78
|
|
samad 94 4 2 3
|
|
samadzai 0 178 0 0
|
|
samantha 27 1063 10 64
|
|
samara 84 18 4 3
|
|
samaraweera 232 0 2 1
|
|
sambrook 122 1 5 3
|
|
samen 0 181 0 0
|
|
sami 739 56 9 24
|
|
samir 595 1 0 2
|
|
samira 3 100 0 5
|
|
samirah 166 0 0 2
|
|
sammons 85 48 4 3
|
|
sammy 742 27 91 25
|
|
samo 136 2 0 0
|
|
sampaio 148 0 2 1
|
|
sampanis 420 0 0 0
|
|
sampras 4143 0 3 3
|
|
sampson 3481 149 31 57
|
|
sams 449 47 8 7
|
|
samson 486 73 32 11
|
|
samsonov 345 0 4 2
|
|
samudra 1734 2 6 7
|
|
samuel 1131 52 57 29
|
|
samuels 1219 207 21 16
|
|
samuelson 273 107 2 5
|
|
samuelsson 112 0 0 0
|
|
samurai 55 0 33 47
|
|
sanader 122 0 1 0
|
|
sanborn 150 31 54 17
|
|
sanchez 8861 835 47 141
|
|
sancho 132 1 3 3
|
|
sand 536 32 477 171
|
|
sandals 26 14 23 57
|
|
sandberg 240 40 7 2
|
|
sander 345 63 6 5
|
|
sanders 12507 750 121 147
|
|
sanderson 1244 103 66 11
|
|
sandhu 285 14 3 5
|
|
sandi 25 71 3 18
|
|
sandifer 82 15 1 3
|
|
sandler 791 30 9 4
|
|
sandlin 225 21 4 5
|
|
sandoval 690 175 8 25
|
|
sandra 24 458 9 37
|
|
sands 458 71 79 40
|
|
sandusky 74 11 18 3
|
|
sandy 287 403 48 35
|
|
sanford 3164 491 136 92
|
|
sangakkara 419 0 0 12
|
|
sanger 264 63 13 7
|
|
sangma 196 0 0 2
|
|
sangster 119 14 1 3
|
|
sanguinetti 209 7 0 0
|
|
sani 120 2 2 0
|
|
sania 4 242 4 2
|
|
sanjay 387 5 4 7
|
|
sankoh 421 2 0 1
|
|
sant 374 4 25 10
|
|
santa 3256 58 158 121
|
|
santana 3207 87 17 43
|
|
santangelo 193 27 1 3
|
|
santiago 1946 279 48 45
|
|
santillan 34 141 1 5
|
|
santini 979 8 5 6
|
|
santo 539 16 3 2
|
|
santomero 122 0 1 0
|
|
santoro 876 17 4 13
|
|
santorum 1746 2 9 36
|
|
santos 7622 286 457 402
|
|
sanz 84 4 23 5
|
|
sanzo 230 5 0 0
|
|
sapiro 3 209 0 6
|
|
sapp 2871 59 50 16
|
|
sappington 413 27 0 0
|
|
saqlain 173 0 2 1
|
|
sar 400 6 71 12
|
|
sara 32 946 16 32
|
|
saracens 10 0 7 351
|
|
sarah 58 3072 40 101
|
|
sarai 6 195 0 1
|
|
saran 71 20 12 2
|
|
sarandon 5 215 1 3
|
|
saravia 99 2 1 0
|
|
sarbanes 140 1 11 0
|
|
saretta 215 0 0 22
|
|
sargeant 181 3 5 2
|
|
sargent 535 131 15 21
|
|
sargsian 311 0 0 0
|
|
sarhan 110 5 0 1
|
|
sarid 126 0 1 5
|
|
sarin 525 2 25 6
|
|
sarkar 120 16 5 15
|
|
sarkozy 1122 1 26 10
|
|
sarsfield 280 2 2 2
|
|
sartor 107 10 4 3
|
|
sarubbi 183 2 4 3
|
|
sarver 247 23 1 0
|
|
sarwan 1124 0 11 13
|
|
sasaki 1279 12 7 4
|
|
sasha 121 99 3 4
|
|
sass 70 54 11 4
|
|
sassaman 158 2 0 0
|
|
sasso 74 26 5 1
|
|
sassoon 192 6 0 1
|
|
sassy 2 96 5 2
|
|
sata 92 0 27 14
|
|
satan 892 8 16 8
|
|
satar 115 0 0 2
|
|
sather 1901 9 12 7
|
|
sato 1009 57 11 11
|
|
satrom 194 1 2 0
|
|
satsyuk 125 0 0 0
|
|
sattar 225 1 0 6
|
|
satterfield 160 47 12 15
|
|
sattler 348 14 3 5
|
|
saturday 3081 610 2107 2632
|
|
sauber 77 1 61 70
|
|
saucedo 107 15 2 2
|
|
saud 1377 4 5 4
|
|
saudi 265 21 147 53
|
|
sauer 152 52 2 7
|
|
sauerbrun 616 0 1 0
|
|
sauers 117 0 2 1
|
|
saul 205 39 5 8
|
|
saull 86 22 4 1
|
|
saulnier 164 8 4 4
|
|
sauls 124 22 4 7
|
|
saunders 2314 481 52 88
|
|
sauve 178 19 1 2
|
|
savage 2113 239 45 40
|
|
savard 459 7 1 3
|
|
savarese 91 9 0 0
|
|
save 4841 81 147 70
|
|
saves 19238 1202 131 189
|
|
saviano 87 15 2 1
|
|
saville 318 21 7 6
|
|
saviola 105 0 1 2
|
|
savior 285 8 17 14
|
|
saviour 93 1 12 2
|
|
savoie 119 69 3 3
|
|
savorani 327 4 0 0
|
|
savovic 390 6 0 1
|
|
savoy 177 42 27 6
|
|
savvy 113 12 106 73
|
|
sawalha 208 0 0 0
|
|
sawant 96 2 2 3
|
|
sawyer 898 324 24 34
|
|
sawyers 76 22 0 17
|
|
sax 167 5 17 3
|
|
saxon 98 33 49 3
|
|
saxons 1 9 1 117
|
|
saxophonist 330 14 0 1
|
|
saxton 383 36 6 7
|
|
sayako 0 160 1 0
|
|
sayeed 539 2 9 13
|
|
sayers 177 36 16 15
|
|
sayles 137 16 2 6
|
|
saylor 156 73 4 5
|
|
sayre 94 18 16 6
|
|
sby 132 0 1 2
|
|
scahill 126 6 1 2
|
|
scalabrine 272 0 0 1
|
|
scales 277 68 38 92
|
|
scalf 127 1 0 1
|
|
scalia 4300 16 81 14
|
|
scalise 106 13 2 3
|
|
scalper 109 3 0 1
|
|
scammers 1 1 0 709
|
|
scan 2540 91 148 24
|
|
scanlan 580 52 4 15
|
|
scanlon 630 84 7 13
|
|
scannell 217 13 2 4
|
|
scans 785 17 42 104
|
|
scapegoat 39 10 23 35
|
|
scappaticci 318 0 0 0
|
|
scar 279 71 68 14
|
|
scarborough 227 59 31 122
|
|
scarbrough 83 25 2 4
|
|
scarf 212 121 93 5
|
|
scarlets 8 2 4 230
|
|
scarlett 391 116 19 11
|
|
scarpa 116 6 4 3
|
|
scars 204 69 56 74
|
|
scarseth 491 3 0 1
|
|
scatchard 177 5 0 0
|
|
scelzi 173 0 0 0
|
|
schaaf 108 31 6 5
|
|
schacht 139 15 0 0
|
|
schachter 405 10 1 9
|
|
schaefer 839 161 9 24
|
|
schaeffer 757 99 16 25
|
|
schafer 650 119 4 5
|
|
schaffel 163 1 1 2
|
|
schaffer 763 90 15 15
|
|
schakowsky 0 191 0 0
|
|
schalken 830 1 0 0
|
|
schaller 75 21 5 2
|
|
schapiro 101 19 12 1
|
|
scharf 114 31 5 5
|
|
schatz 171 35 3 5
|
|
schaub 891 14 2 1
|
|
schauer 88 24 1 2
|
|
schechter 56 8 30 7
|
|
schechterle 152 0 2 0
|
|
scheckter 599 0 0 2
|
|
schedler 134 4 0 2
|
|
scheele 146 4 4 4
|
|
scheer 156 20 7 1
|
|
scheetz 93 13 1 3
|
|
scheffer 100 0 7 2
|
|
scheindlin 0 242 0 0
|
|
schell 179 84 2 3
|
|
schembechler 159 0 0 0
|
|
schempp 19 249 0 7
|
|
schenck 295 10 10 9
|
|
schenk 87 25 7 4
|
|
schenker 84 3 13 2
|
|
schenscher 381 0 0 0
|
|
scher 272 24 1 13
|
|
scherer 234 37 2 2
|
|
scherr 182 2 0 0
|
|
scherrer 104 19 0 2
|
|
schett 0 281 0 0
|
|
scheuer 269 5 4 0
|
|
scheyer 226 24 1 4
|
|
schiano 200 1 5 4
|
|
schiavo 411 526 6 5
|
|
schiavone 151 130 4 6
|
|
schicke 0 105 0 0
|
|
schieffelin 1 579 2 0
|
|
schieffer 187 7 1 5
|
|
schiff 417 33 3 5
|
|
schiffer 56 154 2 1
|
|
schifino 159 0 0 1
|
|
schill 74 24 1 3
|
|
schiller 487 72 21 3
|
|
schilling 12804 123 40 40
|
|
schily 202 0 10 3
|
|
schindler 336 41 22 10
|
|
schindlers 15 33 11 880
|
|
schintzius 261 0 0 0
|
|
schizophrenic 375 20 3 3
|
|
schlegel 87 86 3 1
|
|
schlesinger 945 60 10 125
|
|
schleyer 111 0 9 1
|
|
schlichter 99 2 0 2
|
|
schlopy 100 0 0 0
|
|
schlosser 184 1610 3 4
|
|
schmeiser 352 1 2 3
|
|
schmetzer 106 1 2 0
|
|
schmid 316 37 16 8
|
|
schmidt 10097 677 73 130
|
|
schmit 66 38 8 3
|
|
schmitt 821 183 13 12
|
|
schmitz 471 133 12 20
|
|
schmoke 122 0 0 1
|
|
schneeberger 138 1 0 0
|
|
schneider 2735 533 178 76
|
|
schnell 83 29 3 9
|
|
schnellenberger 239 0 6 4
|
|
schnur 100 8 1 5
|
|
schnyder 4 491 1 0
|
|
schobel 203 2 4 0
|
|
schock 128 17 4 3
|
|
schoeman 106 15 1 5
|
|
schoen 167 21 2 2
|
|
schoenberg 88 9 5 0
|
|
schoeneweis 360 0 8 0
|
|
schoenfeld 193 20 3 1
|
|
schoenfelder 190 0 0 3
|
|
schofield 341 120 10 10
|
|
scholar 1538 72 28 21
|
|
scholes 875 10 8 22
|
|
scholl 132 38 6 8
|
|
scholtz 129 14 1 2
|
|
scholz 118 28 10 7
|
|
schoolboy 1168 3 3 6
|
|
schoolboys 2 1 0 139
|
|
schoolchildren 17 1 13 1266
|
|
schooler 142 14 1 5
|
|
schoolgirl 21 992 8 3
|
|
schoolgirls 18 1 3 329
|
|
schoolmates 8 11 1 110
|
|
schoolteacher 178 726 2 6
|
|
schoolteachers 2 0 1 103
|
|
schoomaker 416 0 25 2
|
|
schorpen 0 100 0 0
|
|
schorr 123 13 8 3
|
|
schott 288 390 15 9
|
|
schottenheimer 1440 0 16 44
|
|
schrader 494 297 23 11
|
|
schramm 959 66 3 6
|
|
schreiber 462 129 11 10
|
|
schreiner 70 29 15 4
|
|
schrempp 1087 1 2 3
|
|
schrock 436 29 2 5
|
|
schroder 154 34 13 5
|
|
schroeder 7341 232 83 142
|
|
schröder 658 3 9 18
|
|
schubert 351 48 11 12
|
|
schuerholz 532 1 1 4
|
|
schuessel 125 0 0 2
|
|
schuettler 1014 1 0 4
|
|
schuler 290 69 2 6
|
|
schuller 167 8 4 2
|
|
schulman 248 39 10 7
|
|
schulte 222 74 17 7
|
|
schulters 427 0 3 1
|
|
schultz 1630 391 28 45
|
|
schulz 708 80 12 9
|
|
schulze 83 31 2 6
|
|
schumacher 11515 128 59 37
|
|
schuman 99 24 13 1
|
|
schumann 121 31 4 4
|
|
schumer 1790 1 42 17
|
|
schuster 393 88 8 18
|
|
schutte 69 47 1 11
|
|
schutz 112 35 5 4
|
|
schuyler 39 44 18 6
|
|
schwammberger 122 0 0 0
|
|
schwartz 2310 655 68 64
|
|
schwartzbach 494 1 2 0
|
|
schwartzman 146 9 1 5
|
|
schwarz 587 86 66 16
|
|
schwarzenegger 39868 80 265 136
|
|
schwarzer 238 2 4 6
|
|
schwarzkopf 183 1 5 16
|
|
schweigert 173 7 3 0
|
|
schweiker 172 0 4 1
|
|
schweitzer 1210 40 18 47
|
|
schwikert 0 118 0 0
|
|
schwimmer 89 7 3 5
|
|
schwinn 134 1 8 0
|
|
scientist 7808 266 82 166
|
|
scion 65 21 48 12
|
|
sciortino 111 7 2 2
|
|
scioscia 1266 1 20 11
|
|
scissors 14 36 17 46
|
|
scliar 205 0 0 0
|
|
scofield 79 31 5 8
|
|
scoggins 105 18 1 3
|
|
scolari 598 4 4 24
|
|
scorecards 3 1 1 167
|
|
scorer 7388 316 60 62
|
|
scorsese 612 1 5 4
|
|
scot 2910 48 23 18
|
|
scotsman 601 2 36 8
|
|
scott 20724 2314 555 686
|
|
scottie 134 9 2 0
|
|
scotty 308 0 9 9
|
|
scout 1543 55 37 42
|
|
scouts 568 9 63 2161
|
|
scrafton 405 0 0 2
|
|
scratch 1578 26 25 24
|
|
scratches 60 32 6 12
|
|
scream 64 10 61 17
|
|
screams 33 31 11 39
|
|
screener 521 34 15 11
|
|
screeners 89 14 30 2847
|
|
screenwriter 341 9 2 4
|
|
scribe 216 13 9 5
|
|
scribes 14 0 0 145
|
|
scribner 167 39 5 2
|
|
scrimshaw 142 0 2 2
|
|
scriptures 11 5 2 169
|
|
scroggins 154 23 4 5
|
|
scroggs 649 8 1 1
|
|
scrooge 257 3 12 4
|
|
scruggs 278 198 6 5
|
|
scrumhalf 132 0 1 0
|
|
scrushy 4526 1 15 70
|
|
scruton 544 0 2 0
|
|
scud 266 2 14 6
|
|
scuffle 766 1 24 1
|
|
scully 1363 54 7 6
|
|
sculptor 312 24 7 3
|
|
scunthorpe 11 1 4 150
|
|
scurry 9 421 1 0
|
|
scutaro 232 0 0 1
|
|
seabiscuit 122 3 97 7
|
|
seabrook 96 18 40 5
|
|
seacrest 294 5 5 0
|
|
seaga 157 0 2 1
|
|
seagal 509 0 0 2
|
|
seagraves 125 21 3 4
|
|
seagulls 3 2 2 131
|
|
seahawks 157 0 28 3788
|
|
seale 106 18 1 4
|
|
sealey 71 26 0 3
|
|
seals 157 44 46 292
|
|
sealy 111 8 43 6
|
|
seaman 1041 180 30 15
|
|
seamen 5 0 1 181
|
|
seamer 608 0 8 6
|
|
seamstress 4 166 1 4
|
|
sean 2016 14 33 35
|
|
searchers 34 17 15 2498
|
|
searcy 119 27 22 3
|
|
searle 106 29 12 4
|
|
season 11480 756 11235 3776
|
|
seasons 952 38 328 571
|
|
seaton 207 61 6 27
|
|
seau 1377 0 2 2
|
|
seaver 139 9 0 2
|
|
seavey 475 2 0 1
|
|
seay 198 31 5 12
|
|
sebastian 428 37 30 17
|
|
sebastien 202 1 0 0
|
|
sebelius 50 1349 19 11
|
|
sebrle 145 0 0 0
|
|
seclusion 1309 1 9 1
|
|
second 4318 594 3738 1062
|
|
seconds 1244 225 1127 634
|
|
secretaries 31 14 20 1070
|
|
secretary 34111 3971 1310 1840
|
|
secularists 6 0 0 180
|
|
seda 102 10 9 1
|
|
sedaris 83 21 0 1
|
|
sedin 241 0 3 0
|
|
see 99 7 10 3
|
|
seed 963 732 649 252
|
|
seedlings 30 0 17 170
|
|
seeger 81 22 8 1
|
|
seeker 287 29 16 20
|
|
seekins 96 3 1 1
|
|
seeley 88 56 6 5
|
|
seely 96 21 2 2
|
|
seer 503 8 6 10
|
|
segal 586 69 14 11
|
|
segar 185 2 6 1
|
|
seger 200 13 0 2
|
|
segovia 97 6 3 2
|
|
segui 347 0 0 0
|
|
segura 90 33 0 0
|
|
sehorn 546 2 2 0
|
|
sehwag 1597 1 15 13
|
|
seibel 143 31 8 1
|
|
seibert 185 171 3 11
|
|
seidel 113 27 2 4
|
|
seidenberg 94 1 7 1
|
|
seidler 95 12 1 0
|
|
seidman 87 19 17 2
|
|
seif 205 2 2 2
|
|
seifert 493 66 6 5
|
|
seiler 95 5006 1 3
|
|
seilhamer 6 102 0 0
|
|
seinfeld 114 4 108 4
|
|
seitz 496 74 4 11
|
|
seizures 18 34 19 133
|
|
selanne 1312 0 4 1
|
|
selby 464 47 8 84
|
|
sele 717 3 2 2
|
|
selection 2061 276 1038 339
|
|
selectman 245 34 7 19
|
|
selector 233 1 12 4
|
|
selectors 254 10 30 2225
|
|
selenski 432 2 0 2
|
|
seles 2 1144 3 3
|
|
self 3222 94 129 94
|
|
selig 5362 13 25 25
|
|
seliger 157 2 1 1
|
|
seligman 227 13 6 1
|
|
selim 139 6 3 2
|
|
sell 263 46 145 81
|
|
selleck 123 1 2 0
|
|
sellers 784 164 66 4336
|
|
sells 144 19 1 7
|
|
selman 40 170 3 0
|
|
selmon 116 6 3 1
|
|
seltzer 181 37 6 8
|
|
selvig 93 7 4 0
|
|
selvy 230 1 1 0
|
|
semel 404 3 6 1
|
|
semifinalist 394 8 19 5
|
|
semrau 75 22 2 1
|
|
sen 224 29 90 17
|
|
senator 55277 3683 796 685
|
|
senators 506 67 367 20686
|
|
sendek 413 2 2 1
|
|
sender 168 12 47 97
|
|
senders 6 4 0 1361
|
|
senft 104 10 0 3
|
|
seniloli 101 0 0 4
|
|
senior 11778 3147 183 323
|
|
senn 53 81 1 4
|
|
senna 151 6 2 4
|
|
senor 502 1 7 6
|
|
sens 19 5 4 145
|
|
sensation 387 182 148 14
|
|
sensenbrenner 745 2 6 6
|
|
sentence 2258 460 1442 180
|
|
sentences 140 15 103 3264
|
|
seo 1022 11 32 16
|
|
sepulveda 112 40 0 1
|
|
serafin 87 16 1 0
|
|
serb 105 9 0 5
|
|
serbian 288 1 6 0
|
|
serebryany 139 0 0 0
|
|
serena 18 9788 94 88
|
|
sergeant 6641 360 192 532
|
|
sergeants 9 0 4 340
|
|
sergei 425 1 2 1
|
|
serginho 129 0 0 1
|
|
sergio 266 2 1 7
|
|
serkis 339 0 0 0
|
|
sermon 55 25 51 14
|
|
sermons 9 7 5 399
|
|
serna 382 98 6 11
|
|
serra 422 21 61 11
|
|
serrano 455 89 40 19
|
|
servant 879 29 9 14
|
|
servants 14 9 10 443
|
|
serve 518 260 483 98
|
|
serves 48 15 21 610
|
|
servia 180 0 0 2
|
|
serviceman 370 3 1 9
|
|
servicemen 15 1 9 1804
|
|
serving 140 36 115 69
|
|
servis 2615 0 12 18
|
|
sery 104 2 1 0
|
|
seselj 601 0 0 2
|
|
sessions 502 62 240 505
|
|
seth 392 17 14 18
|
|
seton 64 4 53 8
|
|
settelen 116 1 0 1
|
|
setter 32 195 16 14
|
|
setters 14 3 4 108
|
|
settle 313 27 6 14
|
|
settler 1192 10 7 10
|
|
setzer 416 5 1 5
|
|
seuss 159 6 5 0
|
|
sevan 105 0 3 1
|
|
seve 130 0 2 1
|
|
seventh 1651 99 374 194
|
|
several 208 53 87 4680
|
|
severance 121 30 103 29
|
|
severson 255 78 3 6
|
|
sevilla 68 20 62 345
|
|
seward 143 36 32 8
|
|
sewell 286 97 17 17
|
|
sexsmith 92 3 4 2
|
|
sexson 1631 3 7 6
|
|
sexton 1371 206 11 48
|
|
seybold 89 4 4 5
|
|
seymour 780 227 121 45
|
|
sezer 252 3 9 41
|
|
sfx 62 2 11 43
|
|
sgro 18 152 0 2
|
|
shaalan 281 0 1 3
|
|
shaath 1281 2 9 15
|
|
shabalkin 113 1 0 12
|
|
shabazz 69 39 7 6
|
|
shabbir 161 13 0 3
|
|
shackelford 126 60 1 3
|
|
shackleford 66 36 1 1
|
|
shad 25 1 20 107
|
|
shade 86 30 85 28
|
|
shadle 177 8 1 1
|
|
shaeffer 119 9 6 0
|
|
shafer 553 172 10 10
|
|
shaffer 871 302 14 24
|
|
shah 1561 133 45 64
|
|
shahed 184 0 0 1
|
|
shaheen 238 231 5 4
|
|
shahid 606 15 3 5
|
|
shahristani 359 0 0 3
|
|
shaichat 151 0 0 0
|
|
shaik 802 38 9 18
|
|
shaikh 216 19 4 18
|
|
shaker 115 9 30 1
|
|
shakeshaft 1 159 2 0
|
|
shakespeare 552 35 69 14
|
|
shakhnovsky 131 0 0 0
|
|
shakira 1 173 0 2
|
|
shakur 331 30 7 5
|
|
shalala 7 609 9 2
|
|
shalhoub 97 2 0 1
|
|
shalom 2154 5 76 37
|
|
shaltout 117 1 1 0
|
|
shami 155 1 1 0
|
|
shamkhani 102 0 2 0
|
|
shamrocks 4 1 2 317
|
|
shamzai 592 0 0 0
|
|
shana 3 145 0 0
|
|
shanahan 3664 269 35 34
|
|
shane 1532 31 24 25
|
|
shank 323 44 11 6
|
|
shankar 306 12 10 4
|
|
shankaracharya 308 4 3 3
|
|
shanklin 182 25 0 2
|
|
shanks 295 29 22 17
|
|
shanley 1415 32 12 25
|
|
shannon 895 671 65 73
|
|
shao 118 6 2 1
|
|
shapiro 2703 264 46 68
|
|
shaq 2131 4 22 26
|
|
shaquille 282 0 6 0
|
|
sharansky 371 0 1 3
|
|
sharapova 7 6857 23 10
|
|
shareef 337 1 1 1
|
|
shargel 244 0 1 22
|
|
sharif 1010 17 13 22
|
|
sharipov 362 0 1 7
|
|
sharkey 136 35 4 14
|
|
sharks 137 14 68 8438
|
|
sharma 1085 125 51 75
|
|
sharon 102780 1033 634 564
|
|
sharp 1135 468 678 140
|
|
sharpe 2641 189 11 52
|
|
sharper 701 0 4 0
|
|
sharpshooter 313 20 19 1
|
|
sharpton 4411 7 23 44
|
|
shashank 296 0 1 4
|
|
shastri 103 10 7 6
|
|
shatner 422 5 3 3
|
|
shaub 118 18 0 2
|
|
shaughnessy 106 420 3 2
|
|
shaun 919 1 27 11
|
|
shauna 6 247 1 3
|
|
shaver 316 54 12 8
|
|
shaving 268 0 12 1
|
|
shaw 4912 778 564 169
|
|
shawcross 107 4 0 0
|
|
shawn 842 46 18 11
|
|
shawna 1 105 3 3
|
|
shay 176 58 6 6
|
|
shayler 152 4 0 1
|
|
shays 915 4 3 4
|
|
shea 1131 248 57 35
|
|
sheahan 288 5 7 10
|
|
shealey 141 10 0 0
|
|
shealy 81 19 2 2
|
|
shearer 1332 105 12 37
|
|
shechtman 157 3 0 0
|
|
shedd 368 14 7 4
|
|
sheedy 389 22 7 11
|
|
sheehan 1113 246 59 35
|
|
sheehy 129 78 2 3
|
|
sheen 563 11 24 36
|
|
sheeran 216 2 1 3
|
|
sheets 922 113 66 324
|
|
sheffer 96 13 3 1
|
|
sheffield 7079 64 117 280
|
|
sheik 8602 5 55 82
|
|
sheikh 774 95 6 17
|
|
sheila 6 330 8 25
|
|
shekhawat 101 0 5 0
|
|
shelby 1389 169 152 40
|
|
shelden 94 7 1 0
|
|
sheldon 579 125 54 16
|
|
shelledy 333 2 0 2
|
|
shelley 1427 206 22 30
|
|
shelly 85 197 6 19
|
|
shelton 1815 383 76 45
|
|
shen 219 35 23 10
|
|
shepard 1015 212 16 28
|
|
shepherd 1683 288 86 55
|
|
sheppard 893 349 18 47
|
|
sher 142 17 3 1
|
|
sherer 173 20 2 4
|
|
sheridan 1029 200 74 27
|
|
sheriff 30939 842 653 1146
|
|
sheringham 225 0 5 6
|
|
sherlock 160 57 5 12
|
|
sherman 4963 329 109 82
|
|
sherpa 391 1 5 6
|
|
sherpas 5 1 2 358
|
|
sherri 2 91 4 6
|
|
sherrill 1022 43 9 24
|
|
sherrod 189 34 2 1
|
|
sherry 115 509 14 28
|
|
sherwin 221 9 3 2
|
|
sherwood 796 168 58 20
|
|
sheryl 1 116 1 7
|
|
shetty 282 18 2 6
|
|
shevardnadze 3546 11 11 10
|
|
shevaun 19 744 0 8
|
|
shevchenko 422 3 3 4
|
|
shewfelt 243 0 0 0
|
|
shi 2198 12 13 31
|
|
shia 144 1 9 234
|
|
shields 2256 504 70 194
|
|
shih 158 49 6 2
|
|
shihab 119 1 0 3
|
|
shiite 10410 2 20 40
|
|
shiites 111 0 25 9072
|
|
shikhmuradov 103 0 0 2
|
|
shilling 114 10 33 11
|
|
shimizu 130 38 12 12
|
|
shimkus 113 4 3 0
|
|
shin 1407 56 31 36
|
|
shinawatra 108 0 0 2
|
|
shinde 320 0 5 19
|
|
shine 295 18 54 20
|
|
shiner 143 12 26 6
|
|
shingles 46 12 14 45
|
|
shinjo 104 0 0 3
|
|
shinn 714 36 5 7
|
|
shinseki 481 0 4 1
|
|
shiokawa 399 0 2 4
|
|
shipley 251 124 20 17
|
|
shipman 1343 54 4 10
|
|
shipmates 4 0 0 137
|
|
shipp 604 25 3 10
|
|
shipwash 156 0 0 1
|
|
shirey 78 19 3 8
|
|
shirley 516 502 47 53
|
|
shiva 31 109 4 2
|
|
shively 80 36 3 2
|
|
shiver 177 17 11 3
|
|
shivering 20 7 1 144
|
|
shivers 195 14 3 16
|
|
sho 176 27 6 10
|
|
shoaib 1544 0 9 9
|
|
shoap 109 0 0 3
|
|
shoar 168 0 0 1
|
|
shocker 158 1 28 5
|
|
shockey 2945 9 9 3
|
|
shockley 376 55 3 6
|
|
shoemaker 760 82 47 15
|
|
shoes 347 160 152 3083
|
|
shoop 159 11 3 3
|
|
shoot 125 37 118 87
|
|
shooter 3682 131 87 60
|
|
shooting 1553 161 1328 703
|
|
shootings 102 4 36 2388
|
|
shopkeeper 1080 62 6 46
|
|
shoplifter 91 20 0 3
|
|
shopper 257 420 24 93
|
|
shore 328 90 126 147
|
|
shores 69 23 57 41
|
|
shorstein 210 0 3 0
|
|
short 3704 1332 979 498
|
|
shortcomings 53 3 35 606
|
|
shorts 81 15 44 771
|
|
shortstop 5946 90 36 48
|
|
shortt 62 38 3 1
|
|
shots 6930 407 1233 3621
|
|
shoulder 4400 233 558 132
|
|
shoulders 339 126 133 192
|
|
shoup 124 15 12 4
|
|
shourie 240 0 18 9
|
|
shouse 109 18 1 1
|
|
shoval 164 0 0 0
|
|
shove 225 3 7 6
|
|
showalter 1224 47 6 5
|
|
showers 96 20 52 117
|
|
showing 504 76 437 467
|
|
showman 190 1 0 0
|
|
shrapnel 139 19 89 32
|
|
shrek 143 9 29 9
|
|
shriver 283 1674 6 24
|
|
shropshire 54 21 25 28
|
|
shroyer 169 9 3 0
|
|
shrum 90 9 1 8
|
|
shuaib 135 0 0 0
|
|
shucet 120 0 8 1
|
|
shue 95 19 1 1
|
|
shuey 236 25 0 6
|
|
shuford 111 8 1 5
|
|
shujaat 162 1 7 7
|
|
shukla 122 29 1 7
|
|
shukrijumah 207 0 0 2
|
|
shula 1404 3 16 21
|
|
shuler 228 26 1 4
|
|
shull 134 35 1 2
|
|
shulman 150 21 2 5
|
|
shultz 265 61 5 4
|
|
shumaker 937 48 7 11
|
|
shuman 129 24 0 5
|
|
shumate 123 20 3 3
|
|
shurn 400 2 0 0
|
|
shurtleff 200 11 0 1
|
|
shuster 329 12 1 6
|
|
shutout 4255 68 189 169
|
|
shutouts 95 18 17 9
|
|
shuttlesworth 133 0 3 3
|
|
shwartzboim 200 0 0 0
|
|
shy 5817 558 570 312
|
|
shyamalan 249 2 1 2
|
|
shyatt 368 0 3 1
|
|
shyne 290 1 0 0
|
|
sibal 150 4 13 8
|
|
sibanda 102 6 1 11
|
|
siberio 582 0 0 0
|
|
sibley 113 118 11 4
|
|
sibling 137 81 26 35
|
|
siblings 166 61 15 3252
|
|
sid 169 1 15 7
|
|
siddiqui 472 35 8 5
|
|
sidekick 278 9 17 3
|
|
sideline 210 9 62 70
|
|
sidelines 112 9 52 68
|
|
sidgmore 166 0 0 3
|
|
sidhu 164 37 5 3
|
|
sidney 295 34 81 11
|
|
siebers 135 2 0 0
|
|
siebert 88 48 21 5
|
|
siegel 1532 147 44 22
|
|
siegelman 1457 1 22 3
|
|
siegfried 139 14 5 5
|
|
siem 141 1 0 2
|
|
siepmann 180 2 0 0
|
|
sierra 685 193 226 64
|
|
sievers 151 61 2 5
|
|
sifford 592 1 0 2
|
|
sifrit 137 137 10 8
|
|
sigel 847 9 0 2
|
|
sightseek 2 251 0 2
|
|
sigler 172 36 0 5
|
|
sigman 275 20 2 3
|
|
sigmon 123 25 1 1
|
|
sigmund 105 7 0 0
|
|
signee 137 60 4 2
|
|
signing 4228 16 309 182
|
|
sigsbee 104 0 0 0
|
|
sihamoni 586 0 0 0
|
|
sihanouk 974 0 0 0
|
|
sihpol 171 0 0 0
|
|
sikes 117 34 1 3
|
|
sikh 163 0 7 12
|
|
sikkema 152 3 1 0
|
|
silas 3255 8 22 16
|
|
silber 396 27 4 15
|
|
silberman 123 14 5 1
|
|
siler 271 18 3 2
|
|
silicio 0 127 1 1
|
|
silk 103 21 74 14
|
|
silliere 128 0 0 17
|
|
sillinger 236 0 2 0
|
|
sills 78 53 4 9
|
|
silmi 8 151 0 2
|
|
silsby 6 102 1 0
|
|
silva 5308 360 109 44
|
|
silver 1934 212 322 64
|
|
silverman 1078 71 16 39
|
|
silvers 63 17 2 24
|
|
silverstein 1468 42 30 41
|
|
silvester 361 8 0 5
|
|
silvestre 187 2 1 2
|
|
silvestri 112 22 5 2
|
|
silvia 129 77 2 11
|
|
sim 313 21 62 16
|
|
simard 52 49 0 2
|
|
simcox 112 7 0 1
|
|
simeon 193 2 17 7
|
|
simeoni 906 1 0 1
|
|
simien 1031 5 5 3
|
|
simitian 186 2 0 1
|
|
simitis 237 0 13 12
|
|
simmonds 160 49 8 4
|
|
simmons 5328 852 97 106
|
|
simms 1469 98 18 16
|
|
simon 8285 624 598 149
|
|
simonds 119 21 2 4
|
|
simone 135 859 8 11
|
|
simoneau 115 5 0 0
|
|
simoni 354 11 0 0
|
|
simons 685 118 16 58
|
|
simonson 112 26 2 4
|
|
simontacchi 260 0 0 0
|
|
simpkins 110 35 1 1
|
|
simpson 6066 1505 150 156
|
|
sims 2609 458 96 141
|
|
sin 158 15 150 92
|
|
sinatra 423 34 9 2
|
|
sinbad 113 1 6 1
|
|
sincerity 68 4 38 13
|
|
sinclair 969 219 778 171
|
|
sindelar 657 3 1 0
|
|
singaporean 82 10 1 14
|
|
singer 8129 5097 241 256
|
|
singh 27466 344 329 348
|
|
singhal 110 6 11 18
|
|
single 16687 229 770 344
|
|
singles 1264 103 168 595
|
|
singletary 331 48 3 4
|
|
singleton 1393 197 24 34
|
|
singson 119 3 1 5
|
|
sinha 780 23 55 45
|
|
sinise 144 1 0 3
|
|
sinisi 125 0 2 2
|
|
sink 77 16 31 7
|
|
sinners 14 1 2 210
|
|
sinnott 128 25 6 4
|
|
sinquefield 186 0 1 6
|
|
sipek 843 0 1 0
|
|
sir 433 3 12 14
|
|
siragusa 103 5 0 9
|
|
sirens 19 0 15 557
|
|
sires 148 2 0 19
|
|
sirhan 229 0 0 1
|
|
sirmon 104 0 0 3
|
|
sisk 193 30 0 10
|
|
sisler 365 19 8 0
|
|
sisson 85 45 3 1
|
|
sissy 8 136 1 12
|
|
sistani 2126 0 23 15
|
|
sister 1446 22167 277 1210
|
|
sisters 102 188 105 11207
|
|
sisulu 749 47 6 8
|
|
sitter 149 278 14 30
|
|
sitti 125 0 0 0
|
|
sitting 1160 424 319 601
|
|
sivits 3217 26 0 13
|
|
six 1855 242 1142 44113
|
|
sixers 176 0 34 4538
|
|
sixes 608 1 11 20
|
|
sixteen 12 1 9 692
|
|
sixth 1935 120 597 280
|
|
sizemore 1389 32 9 8
|
|
sjoblom 122 1 0 0
|
|
sjodin 12 1766 1 13
|
|
skaggs 381 55 8 6
|
|
skaife 120 4 1 1
|
|
skakel 317 1 2 0
|
|
skarbek 1 102 0 0
|
|
skate 149 4 43 13
|
|
skater 190 214 20 18
|
|
skates 16 6 8 104
|
|
skeen 261 14 5 1
|
|
skelton 635 57 5 6
|
|
skerritt 240 2 0 1
|
|
sketch 125 86 117 41
|
|
skidmore 84 33 36 12
|
|
skier 837 99 9 28
|
|
skiles 732 12 6 9
|
|
skilling 3985 0 2 18
|
|
skills 748 223 369 5228
|
|
skinner 1929 246 22 17
|
|
skins 11 0 6 281
|
|
skinstad 149 0 0 0
|
|
skip 618 23 17 36
|
|
skipper 5253 76 75 131
|
|
skirt 3 795 60 7
|
|
skis 14 10 9 207
|
|
sklar 119 25 10 3
|
|
sklyarov 220 0 0 0
|
|
skolnick 120 31 1 10
|
|
skorton 137 0 0 1
|
|
skrepenak 125 1 3 6
|
|
skudra 109 0 0 0
|
|
skulls 7 1 5 844
|
|
skydiver 176 18 0 3
|
|
skydivers 2 1 0 171
|
|
skylstad 608 1 5 0
|
|
slack 523 42 37 16
|
|
slade 315 41 1 14
|
|
slagle 200 22 3 4
|
|
slalom 61 74 12 2
|
|
slam 740 5 39 12
|
|
slash 229 10 16 10
|
|
slater 1092 183 218 34
|
|
slaton 83 30 3 2
|
|
slattery 235 69 2 3
|
|
slaughter 383 162 115 223
|
|
slave 392 56 16 10
|
|
slavenas 29 211 1 0
|
|
slavin 87 16 0 1
|
|
slavkov 456 0 2 0
|
|
slawson 128 3 2 3
|
|
slay 149 1 5 1
|
|
slaying 2997 52 29 35
|
|
slayings 24 3 0 110
|
|
sledge 305 15 60 4
|
|
sleeper 51 23 18 42
|
|
sleepovers 147 2 2 5
|
|
sleeve 225 12 43 4
|
|
slepian 809 10 0 0
|
|
sleuths 19 6 5 220
|
|
slick 172 21 41 13
|
|
slides 31 10 24 352
|
|
slight 58 11 49 16
|
|
slim 320 8 7 7
|
|
slip 196 11 182 58
|
|
slippers 31 26 2 78
|
|
slips 20 1 12 349
|
|
slive 238 0 4 0
|
|
sliwa 332 8 1 2
|
|
sloan 3407 283 24 52
|
|
sloane 155 42 6 13
|
|
slocum 1087 18 11 41
|
|
slone 99 95 1 2
|
|
sloop 71 13 24 1
|
|
slosberg 131 1 3 1
|
|
slovak 59 43 21 7
|
|
slovakian 159 27 1 0
|
|
slovaks 16 0 1 232
|
|
slowik 133 2 2 1
|
|
slugger 5195 5 38 6
|
|
sluman 1176 0 1 0
|
|
slump 597 13 524 192
|
|
slums 8 0 5 118
|
|
slusser 108 6 1 0
|
|
slutskaya 0 528 0 0
|
|
smal 131 0 7 4
|
|
small 984 233 356 430
|
|
smalley 193 51 4 12
|
|
smalls 133 37 1 12
|
|
smallwood 202 67 13 6
|
|
smart 1122 692 350 69
|
|
smarty 2111 2 9 28
|
|
smash 77 9 63 11
|
|
smathers 159 6 2 2
|
|
smile 1428 455 397 93
|
|
smiles 101 54 46 195
|
|
smiley 694 102 11 11
|
|
smit 243 19 18 27
|
|
smith 75783 9805 1064 1464
|
|
smitherman 400 40 5 4
|
|
smithson 108 31 3 3
|
|
smitty 579 1 0 3
|
|
smoak 124 5 0 1
|
|
smoker 1223 44 17 41
|
|
smokey 109 7 3 0
|
|
smolinski 361 8 2 0
|
|
smolka 131 3 1 4
|
|
smoltz 3864 0 3 2
|
|
smoot 267 161 6 6
|
|
smorgon 71 0 36 5
|
|
smothers 140 39 6 3
|
|
smuggler 243 7 3 15
|
|
smugglers 13 7 10 1661
|
|
smull 103 5 4 0
|
|
smyth 986 47 15 13
|
|
smythe 86 25 0 5
|
|
snakeheads 0 1 0 108
|
|
snapp 112 36 3 4
|
|
snapper 107 4 9 14
|
|
snaps 77 2 44 40
|
|
snapshots 7 24 14 293
|
|
snavely 92 12 1 0
|
|
snead 263 34 4 3
|
|
sneakers 29 69 6 70
|
|
snedden 151 11 8 11
|
|
sneddon 2596 13 6 8
|
|
snedeker 242 9 1 2
|
|
sneed 222 95 2 6
|
|
sneh 158 4 0 3
|
|
snelgrove 20 137 0 0
|
|
snell 520 71 10 18
|
|
snelling 124 36 2 0
|
|
snider 711 237 37 13
|
|
sniper 4365 25 6 68
|
|
snipers 22 0 2 1072
|
|
snipes 210 169 3 10
|
|
snippets 2 11 5 144
|
|
snodgrass 118 59 5 3
|
|
snodgress 1 158 0 0
|
|
snook 177 20 14 26
|
|
snoop 459 3 5 4
|
|
snow 14675 261 1226 291
|
|
snowboarder 139 15 5 1
|
|
snowden 182 68 3 9
|
|
snowe 6 363 8 3
|
|
snowman 135 5 27 4
|
|
snowmobilers 2 4 0 154
|
|
snr 110 4 9 5
|
|
snyder 6194 643 129 101
|
|
snyderman 112 17 0 0
|
|
soares 284 141 2 9
|
|
soaries 453 2 1 0
|
|
sobel 182 35 4 1
|
|
sobhraj 176 0 0 0
|
|
socas 112 0 1 2
|
|
socceroos 4 0 2 190
|
|
socialist 182 10 9 8
|
|
socialite 8 230 0 0
|
|
sociologist 161 14 4 4
|
|
socks 95 28 24 637
|
|
socrates 145 0 3 1
|
|
sodano 150 0 3 4
|
|
sodas 7 0 3 358
|
|
soden 109 4 0 2
|
|
soderberg 188 20 1 16
|
|
soderling 259 0 0 0
|
|
soffar 115 0 0 0
|
|
soga 6 2639 1 10
|
|
sohail 112 0 0 2
|
|
sohn 431 15 5 5
|
|
sokol 112 29 3 4
|
|
sokolof 259 0 0 0
|
|
sokolova 0 109 0 0
|
|
sokolowski 128 3 2 2
|
|
sol 97 4 62 12
|
|
solace 42 26 33 44
|
|
solana 897 2 14 5
|
|
solanki 214 0 0 9
|
|
solano 314 16 28 19
|
|
solar 172 3 6 2
|
|
solari 107 23 1 3
|
|
solberg 411 68 2 10
|
|
solbes 220 0 4 17
|
|
soldati 4 243 0 0
|
|
soldier 35477 844 251 851
|
|
soldiers 2236 235 930 135863
|
|
sole 203 2 14 3
|
|
soleimanpour 101 0 0 0
|
|
solheim 184 1 2 3
|
|
solich 1448 2 8 5
|
|
solicitor 1097 274 45 121
|
|
solicitors 45 30 19 431
|
|
soliman 94 89 1 14
|
|
solis 476 82 5 26
|
|
sollie 151 1 0 2
|
|
solo 218 107 135 60
|
|
soloist 193 20 5 4
|
|
solomon 1206 198 43 39
|
|
solomons 121 8 21 32
|
|
solskjaer 247 0 3 0
|
|
somalis 9 0 2 388
|
|
sombat 24 100 0 1
|
|
somchai 164 2 2 3
|
|
somebody 3381 419 1274 16975
|
|
someone 19240 4958 4322 26928
|
|
somers 110 92 30 11
|
|
somerville 140 65 54 13
|
|
sommer 251 24 6 10
|
|
sommers 197 71 1 8
|
|
son 98154 2369 735 1769
|
|
soncini 35 156 0 0
|
|
sondheim 86 1 6 7
|
|
songaila 117 0 0 0
|
|
songstress 0 121 2 1
|
|
songwriter 449 66 5 7
|
|
songwriters 6 3 5 272
|
|
sonia 39 875 27 32
|
|
sonics 103 0 17 3982
|
|
sonnenberg 133 8 6 1
|
|
sonntag 93 7 20 1
|
|
sonny 383 11 4 7
|
|
sono 246 2 2 3
|
|
sons 452 257 252 9649
|
|
sontag 63 442 0 2
|
|
sonya 1 126 0 7
|
|
soong 389 16 7 10
|
|
soper 114 39 8 2
|
|
sophia 13 128 7 9
|
|
sophie 13 689 9 17
|
|
sophomore 5034 1323 49 68
|
|
soprano 26 333 15 0
|
|
sorbara 307 1 5 2
|
|
sore 163 14 29 6
|
|
soren 412 0 11 3
|
|
sorensen 767 121 13 16
|
|
sorenson 403 76 10 17
|
|
sorenstam 113 25057 174 15
|
|
sorgi 289 2 7 1
|
|
soriano 3054 27 15 15
|
|
sorkin 323 3 1 1
|
|
sorlie 593 0 3 0
|
|
soro 109 1 0 3
|
|
soros 1498 1 10 3
|
|
sorrell 256 49 8 2
|
|
sorrow 73 77 41 17
|
|
sosa 15555 43 175 31
|
|
soto 608 227 9 10
|
|
sottile 142 16 3 1
|
|
sotto 113 1 5 17
|
|
soucy 100 7 3 2
|
|
souder 460 9 2 3
|
|
soul 415 121 405 196
|
|
soule 96 21 4 1
|
|
soules 162 2 1 1
|
|
soulias 28 450 0 0
|
|
soumayah 416 3 0 1
|
|
souness 1548 0 9 21
|
|
sourav 217 2 5 2
|
|
souray 243 1 0 0
|
|
source 5270 534 3613 2155
|
|
sources 8344 1286 4356 13257
|
|
sousa 309 47 3 9
|
|
souter 371 22 3 1
|
|
southall 141 15 1 6
|
|
southard 88 41 0 5
|
|
southerland 126 24 4 6
|
|
southerner 325 6 3 3
|
|
southerners 7 0 5 791
|
|
southgate 264 10 19 23
|
|
southpaw 983 13 4 4
|
|
southworth 84 26 1 6
|
|
souza 438 85 9 12
|
|
sow 39 61 5 9
|
|
sowell 178 35 3 2
|
|
sowers 115 24 3 7
|
|
sox 291 5 97 5552
|
|
soyinka 135 0 2 1
|
|
spacey 1199 5 8 2
|
|
spada 281 3 0 0
|
|
spadafora 779 11 4 2
|
|
spadaro 173 2 0 1
|
|
spade 240 39 33 11
|
|
spadea 1451 0 0 2
|
|
spader 181 3 0 0
|
|
spady 13 189 0 4
|
|
spaeth 71 31 0 1
|
|
spahn 688 4 3 6
|
|
spainhour 112 0 0 2
|
|
spammer 89 1 9 65
|
|
spangler 232 62 12 6
|
|
spaniard 3550 181 17 31
|
|
spanier 137 2 4 1
|
|
spann 178 27 1 5
|
|
spano 305 15 3 4
|
|
spanos 125 2 2 1
|
|
sparkman 105 62 16 11
|
|
sparks 1080 254 102 817
|
|
sparrow 286 30 50 6
|
|
spasms 1008 6 1 15
|
|
spaulding 460 67 40 15
|
|
speaker 19319 1186 496 605
|
|
speakers 149 27 114 4774
|
|
speaking 2278 550 376 667
|
|
spear 317 54 36 9
|
|
spearman 167 12 2 5
|
|
spears 528 3224 23 68
|
|
specht 110 26 5 0
|
|
specialist 1811 459 560 155
|
|
speck 50 22 38 4
|
|
speckhals 128 1 0 1
|
|
spectator 1484 23 53 21
|
|
spectators 64 12 59 3312
|
|
specter 5582 5 123 36
|
|
spector 2443 114 5 7
|
|
speech 2752 271 2583 432
|
|
speeches 215 8 134 245
|
|
speed 2145 108 1574 383
|
|
speedster 418 8 6 5
|
|
speedy 115 3 12 2
|
|
speer 170 30 3 2
|
|
speicher 406 5 3 2
|
|
speier 101 170 16 1
|
|
speight 93 19 2 2
|
|
spell 289 46 198 79
|
|
speller 292 7 2 3
|
|
spellers 1 4 3 439
|
|
spellings 6 207 1 5
|
|
spellman 189 26 26 6
|
|
spells 51 8 14 32
|
|
spence 1383 209 33 24
|
|
spencer 6001 596 129 129
|
|
spengler 31 116 0 1
|
|
sperling 226 9 8 5
|
|
sperry 150 15 6 4
|
|
spezza 557 0 0 2
|
|
spicer 298 115 10 13
|
|
spiderman 241 0 5 0
|
|
spiders 17 3 16 945
|
|
spidey 111 0 3 0
|
|
spidla 256 0 1 0
|
|
spielberg 541 5 12 2
|
|
spielman 539 13 1 6
|
|
spiers 272 9 2 3
|
|
spies 78 32 22 1101
|
|
spiezio 660 1 3 1
|
|
spikes 1092 4 20 75
|
|
spilka 2 110 2 1
|
|
spillane 180 37 1 2
|
|
spills 58 0 13 35
|
|
spina 162 8 3 2
|
|
spinks 1324 19 5 7
|
|
spinner 2144 22 44 14
|
|
spinners 14 0 9 583
|
|
spinney 102 2 3 1
|
|
spires 182 16 2 27
|
|
spirits 179 31 72 1211
|
|
spitz 950 29 4 28
|
|
spitzer 5624 14 151 71
|
|
spivey 577 31 4 12
|
|
spleen 139 2 16 14
|
|
splint 223 4 18 2
|
|
splinter 118 2 24 2
|
|
splits 26 1 12 82
|
|
spoke 860 150 152 364
|
|
spokesman 88625 2594 14123 11722
|
|
spokesmen 297 18 105 3637
|
|
spokespeople 50 2 18 576
|
|
spokesperson 2657 1068 1462 2521
|
|
spokeswoman 6040 18520 6165 3923
|
|
spokeswomen 2 53 3 206
|
|
spongebob 377 0 12 1
|
|
sponsor 1298 254 968 279
|
|
spooner 268 30 5 9
|
|
spoonhour 170 0 0 3
|
|
sportscaster 144 7 2 1
|
|
sportsman 353 3 11 15
|
|
sportswriter 304 1 4 1
|
|
sportswriters 7 1 4 103
|
|
spotter 220 3 5 7
|
|
spouse 343 154 74 186
|
|
spouses 51 6 16 1897
|
|
sprague 900 149 90 18
|
|
sprain 1238 30 27 10
|
|
spratt 232 21 5 11
|
|
sprem 0 867 0 0
|
|
sprewell 3699 0 37 9
|
|
spriggs 129 28 2 5
|
|
springbok 97 0 14 7
|
|
springborg 205 4 8 1
|
|
springer 1944 151 62 19
|
|
springs 85 2 63 47
|
|
springsteen 1220 4 5 2
|
|
sprinter 1318 355 24 12
|
|
sproles 564 2 18 5
|
|
sprott 148 7 1 4
|
|
spruill 84 63 1 38
|
|
spunk 2 123 4 3
|
|
spur 85 4 51 13
|
|
spurling 125 10 2 0
|
|
spurlock 771 22 7 3
|
|
spurrier 8290 3 28 15
|
|
spurs 263 4 159 14141
|
|
spy 1255 33 109 21
|
|
squire 296 33 4 6
|
|
squires 230 134 13 58
|
|
squyres 202 2 43 9
|
|
srichaphan 352 0 3 0
|
|
srinath 318 1 6 2
|
|
srivastava 120 7 10 3
|
|
staal 127 4 0 0
|
|
stabenow 2 151 2 1
|
|
stables 19 5 16 69
|
|
stacey 145 409 8 18
|
|
staci 2 105 0 0
|
|
stack 537 57 128 115
|
|
stackhouse 1796 22 6 6
|
|
stacks 25 2 19 68
|
|
stacy 165 388 14 22
|
|
stadler 1560 19 4 6
|
|
staffenberg 101 0 1 3
|
|
staffer 757 221 19 51
|
|
staffers 231 55 80 4238
|
|
stafford 1213 181 124 47
|
|
stagehands 5 0 0 229
|
|
staggs 46 54 1 5
|
|
stahl 403 138 16 22
|
|
stairs 1570 30 20 50
|
|
stajan 109 0 0 2
|
|
stakeknife 205 0 0 0
|
|
stakic 142 0 0 0
|
|
staley 1835 386 25 23
|
|
stalin 706 2 3 13
|
|
stalker 78 39 11 11
|
|
stalkers 1 2 0 122
|
|
stallard 92 16 1 3
|
|
staller 14 106 0 0
|
|
stallings 456 48 13 11
|
|
stallion 329 4 17 9
|
|
stallone 351 3 3 1
|
|
stallworth 344 21 4 5
|
|
stalwart 584 19 31 11
|
|
stam 179 8 1 5
|
|
stambolic 135 0 0 0
|
|
stamina 642 18 29 18
|
|
stamm 99 15 0 1
|
|
stamos 133 3 0 2
|
|
stamper 125 40 2 3
|
|
stamps 137 35 34 1076
|
|
stan 853 5 18 22
|
|
stanback 132 13 14 3
|
|
stancil 221 13 1 0
|
|
standing 1341 300 663 750
|
|
standings 172 7 108 244
|
|
standout 2294 315 26 14
|
|
standridge 203 13 4 5
|
|
stanek 367 24 13 3
|
|
stanfield 276 20 5 3
|
|
stange 380 5 6 3
|
|
stanhope 128 11 41 4
|
|
stankowski 160 0 0 0
|
|
stanley 2198 399 249 94
|
|
stansberry 136 19 1 2
|
|
stansbury 460 23 13 5
|
|
stanton 1898 173 42 36
|
|
stanzak 467 0 0 0
|
|
stapleton 309 97 13 9
|
|
stapp 122 10 2 3
|
|
star 42750 4161 1579 644
|
|
starcraft 98 3 20 0
|
|
stare 71 6 31 12
|
|
stark 231 55 10 7
|
|
starke 293 25 1 2
|
|
starkey 163 79 13 9
|
|
starks 688 54 10 23
|
|
starlet 103 85 2 3
|
|
starling 98 47 6 5
|
|
starnes 142 27 3 7
|
|
starr 1574 221 25 37
|
|
starter 13045 312 139 128
|
|
starts 1393 124 368 820
|
|
starzz 1 0 0 132
|
|
statements 774 173 551 27849
|
|
staten 82 19 2 4
|
|
statesman 813 5 28 7
|
|
statesmen 14 0 4 279
|
|
statham 581 27 3 1
|
|
staton 237 78 1 10
|
|
stats 269 20 147 415
|
|
stauber 341 9 3 2
|
|
stauffer 252 97 3 6
|
|
staunton 85 36 18 8
|
|
staver 198 7 2 80
|
|
stay 320 111 315 379
|
|
stayner 693 2 1 4
|
|
stays 108 18 33 37
|
|
stead 259 9 11 8
|
|
steadman 139 47 3 6
|
|
steals 223 43 42 122
|
|
stearns 256 120 19 15
|
|
stecker 108 5 1 1
|
|
steed 153 22 6 7
|
|
steele 2151 496 49 45
|
|
steelers 217 2 76 10411
|
|
steelman 49 72 1 0
|
|
steelworker 109 2 2 0
|
|
steen 242 61 10 10
|
|
steer 106 43 88 17
|
|
stefan 360 21 1 16
|
|
stefani 146 183 1 3
|
|
stefano 256 5 5 3
|
|
stefanowicz 479 2 0 0
|
|
steffen 136 26 17 3
|
|
stegall 133 48 4 6
|
|
steger 756 17 6 1
|
|
steiger 87 28 2 1
|
|
stein 1340 290 30 31
|
|
steinbach 96 6 2 7
|
|
steinbeck 139 6 3 3
|
|
steinberg 1866 145 11 20
|
|
steinbrenner 3071 1 55 21
|
|
steiner 561 124 19 18
|
|
steinhardt 173 4 10 0
|
|
steinke 87 10 7 1
|
|
steinmetz 86 20 4 4
|
|
stella 53 238 14 7
|
|
stenehjem 237 2 7 3
|
|
stengel 263 13 0 3
|
|
stenger 101 21 3 2
|
|
stenholm 186 0 2 3
|
|
stenson 903 26 2 4
|
|
stepanek 285 6 2 3
|
|
stepchildren 5 1 1 182
|
|
stepdaughter 25 699 0 7
|
|
stepfather 2768 127 6 114
|
|
steph 80 411 10 29
|
|
stephan 166 24 38 5
|
|
stephanie 26 1612 9 51
|
|
stephen 1965 105 42 69
|
|
stephens 2286 634 102 78
|
|
stephenson 1595 373 48 28
|
|
stepmother 98 909 3 28
|
|
stepp 572 57 1 4
|
|
stepson 1014 10 4 9
|
|
sterk 145 2 0 1
|
|
stern 8165 222 111 215
|
|
sternberg 77 69 5 8
|
|
sternum 68 1 51 0
|
|
steroid 3258 10 30 12
|
|
stessel 96 0 5 1
|
|
steve 7735 48 86 134
|
|
steven 1591 68 14 47
|
|
stevens 8544 986 134 159
|
|
stevenson 2396 408 139 47
|
|
stevie 378 29 18 4
|
|
steward 703 80 19 24
|
|
stewardess 3 129 1 4
|
|
stewards 117 19 31 948
|
|
stewart 14525 20734 700 437
|
|
steyn 107 2 4 1
|
|
stich 96 13 0 3
|
|
stickney 100 21 1 1
|
|
stidham 347 38 0 5
|
|
stiehl 163 4 0 1
|
|
stier 293 7 1 0
|
|
stiff 288 1 8 10
|
|
stiles 419 164 18 10
|
|
stiller 328 16 5 1
|
|
stillman 516 65 23 8
|
|
stills 56 17 14 35
|
|
stillwell 80 30 4 0
|
|
stilwell 81 13 12 8
|
|
stimulant 7 83 50 1
|
|
stimulants 4 1 2 212
|
|
stinchcomb 117 9 3 1
|
|
stine 157 68 2 3
|
|
sting 492 13 224 437
|
|
stinger 130 4 52 47
|
|
stingers 14 0 8 206
|
|
stings 4 14 8 173
|
|
stinnett 152 2771 0 4
|
|
stinson 499 128 8 16
|
|
stint 2785 35 112 19
|
|
stints 578 6 16 13
|
|
stipe 184 12 6 1
|
|
stir 53 4 35 14
|
|
stirling 337 77 23 80
|
|
stitches 3921 124 22 25
|
|
stith 162 12 5 2
|
|
stitt 165 24 8 10
|
|
stocco 256 0 24 0
|
|
stockbroker 561 40 80 23
|
|
stockdale 70 30 21 12
|
|
stockings 2 5 4 143
|
|
stockman 161 27 0 2
|
|
stockport 12 2 11 103
|
|
stockstill 120 7 1 1
|
|
stockton 2353 37 193 64
|
|
stockwell 310 19 2 5
|
|
stoddard 125 36 9 3
|
|
stoddart 398 28 12 10
|
|
stogner 156 3 0 1
|
|
stohr 130 5 15 2
|
|
stoitchkov 143 0 1 0
|
|
stojakovic 2341 1 4 3
|
|
stoker 119 41 5 5
|
|
stokes 3519 197 62 38
|
|
stokley 705 5 1 0
|
|
stole 29 4 16 66
|
|
stoll 1194 57 5 9
|
|
stoller 108 26 0 4
|
|
stollsteimer 749 1 0 1
|
|
stolpen 136 0 0 0
|
|
stolz 226 16 0 1
|
|
stone 5406 1042 558 175
|
|
stonecipher 783 6 6 4
|
|
stoneman 301 9 6 4
|
|
stoner 301 41 6 2
|
|
stones 91 13 75 2341
|
|
stools 3 1 1 143
|
|
stoop 3 238 7 2
|
|
stoops 2209 15 8 15
|
|
stopper 383 15 15 6
|
|
stops 264 51 97 212
|
|
storeowners 2 1 0 418
|
|
storey 279 41 19 10
|
|
stories 375 129 357 8916
|
|
stork 100 12 9 1
|
|
storr 248 7 2 1
|
|
storyteller 169 18 4 3
|
|
stossel 92 6 1 1
|
|
stott 164 20 7 6
|
|
stottlemyre 391 1 7 5
|
|
stotts 460 8 1 5
|
|
stoudamire 1990 1 7 1
|
|
stoudemire 1332 4 20 12
|
|
stout 552 148 53 31
|
|
stovall 317 68 6 12
|
|
stover 400 60 7 12
|
|
stowaway 127 0 16 2
|
|
stowe 121 40 29 7
|
|
stowell 129 17 13 3
|
|
stowers 104 15 5 6
|
|
strachan 884 33 13 19
|
|
stracke 336 4 0 0
|
|
straeuli 741 0 7 15
|
|
strahan 673 23 8 2
|
|
strahl 265 2 0 0
|
|
strain 1021 74 746 218
|
|
strait 330 39 23 5
|
|
straka 369 7 0 3
|
|
stram 639 0 1 1
|
|
strand 217 29 107 26
|
|
strang 81 14 4 9
|
|
strange 171 29 5 3
|
|
stranger 812 278 63 152
|
|
strangers 55 55 21 1788
|
|
strassberg 348 0 1 2
|
|
strategist 1059 66 58 75
|
|
strategists 224 21 120 3446
|
|
stratton 431 134 19 21
|
|
straub 187 33 7 2
|
|
straus 137 22 4 1
|
|
strauss 1212 92 31 15
|
|
straw 3947 21 145 148
|
|
strawberry 865 8 24 5
|
|
strayhorn 25 757 9 6
|
|
streak 1452 194 1040 425
|
|
streaker 123 8 1 2
|
|
streep 2 693 4 0
|
|
street 11583 255 1007 476
|
|
streeter 318 128 0 4
|
|
streicher 90 25 8 4
|
|
streisand 1 713 5 3
|
|
stremme 117 0 4 1
|
|
stretcher 63 12 23 11
|
|
stretchers 1 1 0 522
|
|
stretches 55 0 33 76
|
|
stretford 184 0 0 2
|
|
stretton 97 7 0 2
|
|
stricker 215 11 3 6
|
|
strickland 1613 294 14 30
|
|
strickler 134 27 3 2
|
|
stricklin 69 28 3 11
|
|
strikeout 1040 10 25 8
|
|
strikeouts 3433 106 14 37
|
|
striker 14227 110 89 159
|
|
strikers 119 0 73 2237
|
|
strikes 252 17 228 4473
|
|
strine 663 7 1 2
|
|
stringer 1001 184 11 54
|
|
stringfellow 99 19 2 5
|
|
stripes 108 7 30 119
|
|
stripper 44 336 7 5
|
|
stritch 3 116 8 2
|
|
strobel 80 35 2 1
|
|
stroger 159 1 4 1
|
|
stroke 561 110 324 63
|
|
strokes 231 64 99 845
|
|
strom 483 89 7 8
|
|
stromberg 129 34 3 1
|
|
stronach 155 474 3 5
|
|
strong 1203 65 63 54
|
|
strongman 681 0 5 3
|
|
strother 135 135 23 5
|
|
strothers 252 2 0 0
|
|
stroud 311 1134 11 22
|
|
struck 191 3 7 2
|
|
strudl 0 245 0 0
|
|
struhs 117 1 3 4
|
|
strummer 515 4 1 3
|
|
strunk 382 33 4 3
|
|
strydom 83 15 2 3
|
|
strzelczyk 285 0 0 0
|
|
stu 182 2 14 6
|
|
stuart 2300 279 109 78
|
|
stubb 243 0 0 0
|
|
stubblefield 662 14 5 54
|
|
stubbs 471 106 72 26
|
|
stuckey 239 45 6 2
|
|
stud 79 7 38 8
|
|
studabaker 723 11 1 2
|
|
studdard 877 0 5 1
|
|
student 17675 9683 905 3353
|
|
studs 25 1 3 107
|
|
stull 232 27 6 5
|
|
stultz 101 14 1 2
|
|
stumbo 330 17 3 7
|
|
stump 964 41 37 9
|
|
stumpf 110 26 2 1
|
|
stunt 1303 36 121 11
|
|
stuntman 344 0 0 1
|
|
stuntmen 349 0 0 48
|
|
stuntwoman 6 122 0 0
|
|
stupak 179 10 2 1
|
|
stupples 0 901 1 0
|
|
sturgeon 133 77 30 68
|
|
sturges 93 14 1 1
|
|
sturgis 68 32 38 16
|
|
sturm 991 27 6 5
|
|
sturrock 446 5 6 16
|
|
sturtze 529 0 2 29
|
|
stuttle 23 92 0 3
|
|
stutz 59 43 2 6
|
|
stutzman 153 18 10 3
|
|
styles 173 52 89 287
|
|
stylist 65 83 6 17
|
|
stylists 0 15 0 216
|
|
stynes 284 0 0 2
|
|
styris 319 0 1 5
|
|
suarez 479 335 4 45
|
|
subcontractor 119 0 61 9
|
|
subordinate 241 7 15 7
|
|
subordinates 45 6 13 615
|
|
substances 31 4 29 1958
|
|
substitute 293 42 143 73
|
|
substitutes 15 1 14 269
|
|
succession 82 1 48 543
|
|
successor 6754 155 174 41
|
|
successors 38 1 10 339
|
|
sucking 182 7 14 7
|
|
sudanese 13 1 1 644
|
|
suders 3 386 2 0
|
|
sue 49 779 19 53
|
|
sufaat 143 0 0 0
|
|
sufferer 75 48 3 17
|
|
suffering 601 102 392 570
|
|
sugars 13 0 1 98
|
|
sugg 102 11 3 10
|
|
suggs 1702 58 30 25
|
|
sugiyama 15 459 3 10
|
|
suguri 0 115 0 0
|
|
suh 123 14 3 1
|
|
suha 27 1158 0 9
|
|
suharto 647 2 9 12
|
|
suicide 5994 2039 715 3745
|
|
suitcases 3 1 0 316
|
|
sukhanov 131 0 1 0
|
|
sulaiman 123 1 10 7
|
|
sulamani 162 0 4 2
|
|
suleiman 662 2 8 1
|
|
sulkin 233 0 0 11
|
|
sullivan 9911 1192 223 241
|
|
sultan 1653 70 60 47
|
|
sulzberger 305 1 2 1
|
|
sulzer 111 4 20 2
|
|
suman 98 22 2 4
|
|
sumlin 115 4 0 0
|
|
summaries 2 0 1 156
|
|
summerall 250 4 1 1
|
|
summerhays 113 5 1 0
|
|
summerlin 579 19 3 1
|
|
summers 1390 262 40 94
|
|
summitt 8 1082 6 11
|
|
summons 148 32 33 36
|
|
summonses 4 1 1 140
|
|
sumner 291 64 54 17
|
|
sumpter 261 27 7 2
|
|
sund 99 3 3 7
|
|
sunday 4037 690 2151 2270
|
|
sundberg 43 166 1 6
|
|
sundel 137 0 0 0
|
|
sunderland 178 15 115 1252
|
|
sundin 1719 7 5 0
|
|
sundquist 190 7 4 2
|
|
sundstrom 251 5 2 2
|
|
sunglasses 69 47 19 97
|
|
sunita 9 118 0 2
|
|
sunnis 10 0 9 2443
|
|
sunny 51 69 8 6
|
|
suns 63 0 36 5049
|
|
sununu 144 1 6 0
|
|
suozzi 394 7 4 3
|
|
supachai 178 0 4 2
|
|
superhero 124 37 70 11
|
|
superintendent 4847 728 158 260
|
|
superiors 193 239 18 302
|
|
superman 1110 2 26 7
|
|
supermodel 2 180 2 12
|
|
superpowers 3 0 2 169
|
|
superstar 3131 253 45 34
|
|
supervision 229 13 104 69
|
|
supervisor 2313 1302 134 270
|
|
suppan 1505 1 4 2
|
|
supporter 3903 289 191 124
|
|
supremacist 258 1 1 1
|
|
supremo 425 22 11 12
|
|
sura 855 2 4 2
|
|
surakiart 127 0 2 3
|
|
suresh 99 9 4 11
|
|
surfer 552 126 13 18
|
|
surgeon 3066 139 79 42
|
|
surgeons 125 76 63 3548
|
|
surgeries 1078 170 38 138
|
|
surgery 82169 3077 1212 323
|
|
surges 3 7 5 96
|
|
surhoff 488 0 2 4
|
|
surjeet 113 3 4 9
|
|
surma 100 5 1 0
|
|
surovy 163 0 0 0
|
|
surrey 51 8 50 440
|
|
surrogate 108 12 6 3
|
|
surrogates 19 0 4 568
|
|
surroundings 79 6 44 388
|
|
surtain 324 0 1 11
|
|
surveyor 135 7 16 12
|
|
survivor 1319 599 214 98
|
|
susan 59 1222 22 87
|
|
susie 6 180 4 7
|
|
susilo 356 5 1 8
|
|
suskind 208 0 3 2
|
|
susman 102 17 2 4
|
|
suspect 36560 1158 204 631
|
|
suspects 487 120 167 24594
|
|
suspension 1114 41 900 88
|
|
suspicion 808 36 174 83
|
|
sussman 156 22 3 1
|
|
sutcliffe 314 16 6 9
|
|
suter 260 22 1 4
|
|
sutherland 1749 245 62 33
|
|
sutter 1741 29 72 38
|
|
sutton 7568 374 122 184
|
|
sutyagin 477 0 0 1
|
|
sutz 194 0 0 0
|
|
suzanne 3 441 5 8
|
|
suzuki 5509 171 369 32
|
|
suzy 6 307 5 5
|
|
svanberg 161 0 8 0
|
|
svatos 262 2 0 0
|
|
svehla 152 1 2 0
|
|
sven 960 3 10 9
|
|
svensson 140 25 3 1
|
|
svetlana 0 103 2 2
|
|
sviggum 290 0 6 3
|
|
svoboda 166 16 2 3
|
|
swafford 77 30 1 2
|
|
swaggart 255 0 0 0
|
|
swaim 113 27 1 1
|
|
swain 764 132 76 24
|
|
swallow 266 19 16 8
|
|
swallows 1 15 4 178
|
|
swamy 91 12 4 1
|
|
swan 692 178 106 55
|
|
swanepoel 107 7 5 13
|
|
swank 63 79 7 1
|
|
swann 359 110 9 12
|
|
swannack 431 3 1 17
|
|
swans 26 3 12 622
|
|
swanson 1310 329 23 49
|
|
swappers 0 6 3 110
|
|
swaraj 7 189 28 2
|
|
swartz 1995 128 43 50
|
|
swartzmiller 111 1 0 1
|
|
swayne 104 2 0 0
|
|
swayze 108 32 0 1
|
|
swearingen 101 37 2 1
|
|
sweat 256 37 111 47
|
|
swede 2922 606 27 22
|
|
swedenburg 0 143 1 1
|
|
sweeney 3698 427 41 62
|
|
sweeper 67 15 15 5
|
|
sweet 824 138 73 36
|
|
sweetheart 37 79 22 11
|
|
sweethearts 6 0 3 109
|
|
sweetie 12 177 3 3
|
|
sweetney 315 0 2 5
|
|
swelling 282 20 114 11
|
|
swenson 331 95 6 20
|
|
swerving 159 0 5 7
|
|
swift 1097 355 404 41
|
|
swimmer 1213 307 20 62
|
|
swindell 182 18 0 3
|
|
swindle 92 22 19 8
|
|
swinford 86 6 3 22
|
|
swinger 119 0 4 3
|
|
swinging 150 6 27 20
|
|
swingley 176 7 1 1
|
|
swingman 626 0 2 2
|
|
swinney 293 5 7 6
|
|
swinton 130 28 4 22
|
|
swisher 384 27 4 2
|
|
switkowski 415 0 21 3
|
|
switzer 216 39 3 1
|
|
swofford 808 5 36 2
|
|
swogger 182 0 9 0
|
|
swoopes 11 321 1 18
|
|
swope 149 38 3 3
|
|
swords 25 29 9 44
|
|
sydor 113 13 0 1
|
|
syed 131 3 2 4
|
|
sykes 483 339 168 23
|
|
sykora 557 19 1 5
|
|
sylvester 472 74 13 10
|
|
sylvia 91 408 18 22
|
|
symington 112 14 0 3
|
|
symonds 556 19 9 6
|
|
symons 673 51 3 8
|
|
sympathies 437 3 8 26
|
|
sympathizers 20 1 3 663
|
|
syrian 267 1 12 2
|
|
syrians 12 0 11 1838
|
|
syringe 415 4 51 4
|
|
syverson 76 23 2 4
|
|
szabo 107 77 3 2
|
|
szczerbiak 1371 1 6 1
|
|
szott 144 3 2 1
|
|
szpilman 141 0 3 0
|
|
szuminski 102 0 0 0
|
|
szymanski 147 30 1 3
|
|
sörenstam 0 317 1 0
|
|
taalibah 0 185 0 0
|
|
tabb 242 17 13 4
|
|
taber 58 53 5 2
|
|
tabish 376 5 4 11
|
|
tabler 97 13 1 2
|
|
tables 134 11 90 312
|
|
tabloids 38 17 9 396
|
|
tabs 54 17 38 1107
|
|
tackett 179 37 4 2
|
|
tackle 6799 5 230 105
|
|
tackler 618 0 3 4
|
|
tacklers 497 0 2 29
|
|
tackles 326 3 55 259
|
|
tacopina 176 1 0 0
|
|
tactician 168 0 0 12
|
|
tad 231 8 66 53
|
|
tadano 568 0 0 0
|
|
tadic 312 0 7 1
|
|
taff 133 7 3 1
|
|
tafoya 122 43 2 2
|
|
taft 2201 53 130 62
|
|
tagg 1554 5 17 5
|
|
taggart 200 28 10 7
|
|
tagliabue 1032 18 7 3
|
|
tagliani 394 0 1 0
|
|
taguba 1345 5 2 3
|
|
taguchi 288 2 2 0
|
|
taha 452 189 10 6
|
|
taher 179 16 2 0
|
|
tahir 932 1 1 3
|
|
tai 49 31 9 13
|
|
taib 73 0 23 5
|
|
taibu 283 0 1 13
|
|
tailback 1646 0 15 15
|
|
tailor 311 21 7 4
|
|
tait 462 28 10 15
|
|
tajik 238 0 2 0
|
|
tak 108 13 2 2
|
|
takagi 215 3 10 1
|
|
takahashi 163 82 4 0
|
|
takato 1 124 0 0
|
|
takatsu 460 0 0 1
|
|
takei 178 2 1 1
|
|
takenaka 441 1 7 1
|
|
taker 208 11 11 7
|
|
takes 92 19 83 59
|
|
takuma 250 1 0 0
|
|
tal 97 1 7 0
|
|
talabani 786 4 29 81
|
|
talaja 0 136 0 0
|
|
talal 146 0 2 5
|
|
talarico 62 39 0 0
|
|
talat 349 1 7 125
|
|
talbert 244 35 4 18
|
|
talbot 509 76 21 20
|
|
talbott 177 12 4 3
|
|
taleb 152 0 0 0
|
|
talents 172 44 91 1109
|
|
tales 77 22 38 213
|
|
talker 256 3 8 2
|
|
tallent 117 119 2 8
|
|
talley 405 68 10 6
|
|
tallis 269 0 5 6
|
|
tallman 210 52 1 3
|
|
talmadge 114 0 0 4
|
|
tam 299 52 36 10
|
|
taman 96 8 1 4
|
|
tamara 5 187 2 5
|
|
tamares 0 133 0 3
|
|
tamarine 0 132 1 0
|
|
tamayo 82 290 4 6
|
|
tambellini 184 8 1 1
|
|
tamer 186 0 3 3
|
|
tamihere 249 1 8 4
|
|
tamimi 314 7 4 1
|
|
tamir 210 4 3 1
|
|
tammy 11 398 6 19
|
|
tamra 4 170 9 0
|
|
tan 1022 265 90 73
|
|
tanaka 354 58 5 6
|
|
tancredo 272 0 9 2
|
|
tandjung 108 0 1 1
|
|
tandon 227 13 4 3
|
|
tanenbaum 114 3 3 2
|
|
tang 651 136 26 22
|
|
tanguay 586 25 2 2
|
|
tania 11 212 4 12
|
|
tanigaki 179 0 3 4
|
|
tankersley 229 24 0 4
|
|
tankleff 162 1 0 3
|
|
tannenbaum 1078 18 2 20
|
|
tanner 1694 211 48 30
|
|
tanya 8 203 5 14
|
|
tanzanian 1370 0 1 0
|
|
tanzi 2303 9 9 23
|
|
taoiseach 548 2 13 20
|
|
tapes 305 62 140 679
|
|
tapia 1104 52 2 6
|
|
tapit 600 0 2 1
|
|
tapp 184 21 4 3
|
|
tapper 215 12 10 2
|
|
tapscott 226 4 0 1
|
|
tara 23 821 25 20
|
|
tarantino 702 11 14 2
|
|
tarbox 28 83 3 0
|
|
tarek 148 0 0 0
|
|
taricani 1970 0 1 2
|
|
tariq 110 5 4 3
|
|
tarkanian 123 1 3 2
|
|
tarmac 16 0 10 287
|
|
tarnstrom 122 0 0 1
|
|
tarpley 113 132 1 1
|
|
tarpoff 225 0 0 0
|
|
tarr 151 69 7 2
|
|
tarrant 225 22 20 5
|
|
tart 65 23 20 1
|
|
tarver 2257 19 3 13
|
|
tarzan 125 1 6 3
|
|
tasha 1 154 0 2
|
|
tasks 186 14 183 284
|
|
tasmanian 147 6 10 2
|
|
tasmanians 6 1 2 105
|
|
tatar 118 19 1 3
|
|
tataurangi 128 0 1 1
|
|
tatchell 102 0 0 8
|
|
tate 5161 255 96 30
|
|
tatro 109 20 1 4
|
|
tattoo 228 36 80 8
|
|
tattoos 57 12 9 110
|
|
tatu 51 0 6 139
|
|
tatum 346 60 18 15
|
|
taub 149 12 2 4
|
|
taufik 98 0 1 2
|
|
taunts 7 3 4 212
|
|
taurasi 10 2803 6 49
|
|
tauro 146 7 0 1
|
|
tauscher 99 168 0 4
|
|
tauzer 295 0 1 0
|
|
tauzin 1621 1 22 7
|
|
tavares 309 47 30 11
|
|
tavarez 1651 0 3 2
|
|
taveras 166 3 1 1
|
|
tay 86 24 12 3
|
|
taya 355 4 5 4
|
|
taylor 42331 3856 420 525
|
|
tayshaun 702 0 0 0
|
|
td 1354 8 486 158
|
|
teacher 8519 10143 561 1404
|
|
teague 868 210 21 10
|
|
teal 74 33 7 11
|
|
teammate 6486 138 57 99
|
|
teammates 1429 201 196 13291
|
|
tear 1476 103 119 30
|
|
tears 398 251 96 178
|
|
tebaldi 0 373 0 0
|
|
technicals 184 0 3 6
|
|
technician 2000 208 28 98
|
|
technocrat 200 1 0 0
|
|
technologists 12 1 7 201
|
|
ted 1111 8 121 26
|
|
teddy 400 6 11 3
|
|
tedesco 131 19 5 4
|
|
tedford 1603 5 6 9
|
|
tee 277 23 89 29
|
|
teel 87 33 2 1
|
|
teele 139 11 0 0
|
|
teen 5074 1134 24 107
|
|
teenager 14385 3480 110 242
|
|
teenagers 114 56 90 11332
|
|
teessiders 17 0 0 132
|
|
teets 116 0 0 4
|
|
teevens 712 0 4 5
|
|
tehin 405 0 0 3
|
|
teitelbaum 93 7 1 3
|
|
teixeira 1114 17 2 3
|
|
tejada 4200 5 31 12
|
|
tejeda 154 18 1 1
|
|
tejera 182 0 0 1
|
|
telegram 82 10 22 19
|
|
telemaco 134 0 1 0
|
|
telemarketer 43 19 22 20
|
|
telephones 20 1 16 483
|
|
teletype 192 0 2 0
|
|
telfair 334 0 4 2
|
|
telfer 100 47 2 5
|
|
telford 95 24 24 102
|
|
telgi 297 0 5 3
|
|
tellem 261 10 0 2
|
|
teller 755 494 31 32
|
|
tellers 16 5 3 369
|
|
tellez 100 10 1 1
|
|
tellier 471 3 3 2
|
|
tellqvist 162 0 0 2
|
|
telly 1 86 15 0
|
|
telusma 118 0 0 0
|
|
tembo 93 0 5 4
|
|
temper 88 18 44 12
|
|
templeton 767 32 52 15
|
|
tenant 490 253 326 146
|
|
tendencies 42 4 24 99
|
|
tendency 453 50 452 421
|
|
tendinitis 2520 19 13 2
|
|
tendon 597 33 156 2
|
|
tendulkar 3823 1 25 37
|
|
tenenbaum 38 867 7 4
|
|
tenet 3840 4 3053 63
|
|
teng 70 92 3 13
|
|
tennant 102 71 27 9
|
|
tennessean 75 3 25 7
|
|
tennesseans 6 0 5 374
|
|
tenor 390 2 66 17
|
|
tenth 184 15 79 60
|
|
tenzing 136 2 37 0
|
|
teo 162 38 6 11
|
|
tepatti 110 11 0 0
|
|
tepper 171 36 2 8
|
|
teresa 20 623 6 27
|
|
tergat 193 2 0 1
|
|
teri 24 70 9 9
|
|
terminator 729 2 19 6
|
|
terrance 120 2 2 24
|
|
terrell 697 563 24 26
|
|
terrence 153 2 17 1
|
|
terri 18 1068 6 27
|
|
terrier 206 13 37 6
|
|
terrill 187 45 0 3
|
|
terrorist 5656 47 67 299
|
|
terry 4894 487 106 114
|
|
terwilliger 124 7 5 2
|
|
teske 42 554 1 4
|
|
tess 17 91 3 7
|
|
tessa 3 143 3 0
|
|
tessier 112 13 0 1
|
|
testa 141 28 7 3
|
|
testament 103 20 84 77
|
|
testaverde 3000 0 8 35
|
|
tester 264 28 39 14
|
|
testimony 1602 428 917 637
|
|
tests 2518 574 1657 2427
|
|
tether 140 0 9 2
|
|
tetrault 152 4 0 1
|
|
tetreault 113 13 1 0
|
|
tevez 205 0 0 1
|
|
tew 86 11 7 18
|
|
tewell 322 9 1 0
|
|
tex 91 1 28 3
|
|
texan 4777 91 14 5
|
|
th 96 16 38 18
|
|
thacher 377 4 15 3
|
|
thacker 448 58 2 9
|
|
thackeray 317 3 12 7
|
|
thahir 153 0 0 0
|
|
thai 321 72 60 16
|
|
thain 586 3 4 2
|
|
thais 10 12 4 633
|
|
thaksin 3797 8 60 40
|
|
thakur 162 6 5 11
|
|
thali 114 0 4 0
|
|
thalia 0 158 1 5
|
|
thamer 295 0 0 0
|
|
thames 458 9 52 31
|
|
thanks 225 42 218 215
|
|
thao 50 49 2 6
|
|
thapa 241 8 5 4
|
|
tharp 549 91 6 19
|
|
thatcher 2551 260 44 55
|
|
thaxton 137 15 8 1
|
|
thayer 479 96 14 13
|
|
theede 95 0 6 0
|
|
theer 7 229 6 0
|
|
theisen 340 4 1 3
|
|
theismann 83 0 36 2
|
|
thelen 105 26 2 2
|
|
theo 313 0 2 3
|
|
theodore 1370 5 8 4
|
|
theologian 121 3 1 1
|
|
theories 49 2 40 1044
|
|
theorist 101 5 5 3
|
|
therapist 209 339 25 42
|
|
therapists 53 18 11 612
|
|
theresa 10 556 6 22
|
|
theriault 31 65 0 5
|
|
therien 119 0 0 1
|
|
theriot 121 23 1 4
|
|
theron 72 1232 7 16
|
|
therriault 99 5 1 0
|
|
therrien 215 25 1 6
|
|
theys 109 2 0 13
|
|
thibault 1123 145 9 16
|
|
thibodeau 115 30 1 5
|
|
thibodeaux 106 26 1 1
|
|
thick 714 2 31 10
|
|
thief 2146 159 64 82
|
|
thiel 139 69 22 5
|
|
thielen 97 26 2 1
|
|
thielmann 114 0 0 0
|
|
thierry 323 2 1 0
|
|
thieves 83 41 81 3824
|
|
thigh 1099 95 57 9
|
|
thigpen 262 81 2 3
|
|
thinker 294 15 4 4
|
|
third 4784 639 3086 4967
|
|
thirty 7 1 6 316
|
|
thom 320 38 3 2
|
|
thomas 30005 3297 351 568
|
|
thomason 319 81 12 14
|
|
thome 5351 14 12 15
|
|
thompkins 90 10 0 0
|
|
thompson 20975 3214 558 396
|
|
thomsen 90 22 4 7
|
|
thomson 1293 186 1153 56
|
|
thor 71 2 61 1
|
|
thorburn 65 47 2 3
|
|
thorman 109 2 0 4
|
|
thorn 1153 66 41 8
|
|
thornburg 150 42 11 2
|
|
thornburgh 482 1 1 4
|
|
thorne 641 99 3 43
|
|
thornhill 200 27 10 5
|
|
thornton 3428 304 90 64
|
|
thorp 301 82 11 8
|
|
thorpe 5010 150 31 47
|
|
thorpedo 115 0 0 0
|
|
thorson 105 62 5 9
|
|
those 4178 996 4148 175255
|
|
thoughts 443 108 167 700
|
|
thrash 375 17 2 3
|
|
thrasher 296 26 6 1
|
|
thrashers 44 0 15 2035
|
|
threes 34 3 28 43
|
|
throat 267 1816 76 21
|
|
throne 53 16 38 32
|
|
throngs 12 1 4 584
|
|
thrower 440 62 6 6
|
|
thug 431 20 12 1
|
|
thugs 230 13 6 1035
|
|
thumb 481 28 233 19
|
|
thumbs 56 2 38 347
|
|
thune 1476 2 11 55
|
|
thuram 110 0 1 5
|
|
thurber 157 83 3 3
|
|
thurlow 752 31 2 4
|
|
thurman 388 229 5 12
|
|
thurmond 4944 45 13 71
|
|
thurner 214 0 0 0
|
|
thurston 244 41 10 10
|
|
thwaites 88 13 11 5
|
|
tiago 133 0 2 13
|
|
tiahrt 104 0 0 3
|
|
tian 77 28 2 1
|
|
tiara 0 230 18 2
|
|
tibbets 63 148 0 2
|
|
tibbetts 261 82 3 11
|
|
tibbs 116 44 1 0
|
|
tibetans 10 0 2 574
|
|
tibi 266 0 0 1
|
|
tice 2593 28 20 54
|
|
tichenor 94 5 2 0
|
|
ticketholders 0 1 0 218
|
|
tidwell 194 44 2 7
|
|
tien 146 13 1 1
|
|
tierney 394 84 7 19
|
|
tiesto 108 0 1 0
|
|
tiffany 130 512 411 18
|
|
tiffee 126 0 0 0
|
|
tigana 332 0 2 5
|
|
tiger 5196 73 405 78
|
|
tigger 156 2 1 1
|
|
tightness 130 0 129 2
|
|
tiki 96 1 10 3
|
|
tikolo 102 0 4 5
|
|
tikritis 1 0 0 103
|
|
tilghman 52 140 11 5
|
|
tillakaratne 209 0 0 0
|
|
tiller 883 26 13 15
|
|
tillery 223 25 2 4
|
|
tilley 297 53 11 7
|
|
tillis 11 402 2 44
|
|
tillman 5312 123 13 24
|
|
tilly 38 147 0 3
|
|
tilton 662 30 24 3
|
|
tim 3461 31 111 67
|
|
timberlake 1478 33 13 4
|
|
timbers 11 0 8 143
|
|
timer 48 10 41 26
|
|
timid 10 0 2 276
|
|
timlin 215 0 2 2
|
|
timm 129 30 2 5
|
|
timmerman 93 23 6 8
|
|
timmins 290 35 9 12
|
|
timmons 303 46 6 7
|
|
timmy 293 8 8 4
|
|
timoney 385 3 0 10
|
|
timorese 3 0 1 133
|
|
timothy 407 17 6 11
|
|
tina 20 657 11 38
|
|
tindall 403 37 9 2
|
|
ting 95 17 8 6
|
|
tingle 103 24 5 4
|
|
tinker 80 50 13 2
|
|
tins 3 0 1 162
|
|
tinsley 1148 40 16 11
|
|
tinubu 196 4 13 2
|
|
tippett 393 23 9 2
|
|
tipster 181 56 11 24
|
|
tipsters 2 5 1 126
|
|
tipton 307 59 23 21
|
|
tirade 892 11 26 12
|
|
tisch 261 6 4 1
|
|
tisdale 110 50 1 2
|
|
titans 316 2 142 10039
|
|
tito 386 4 6 7
|
|
titov 122 0 0 3
|
|
tittle 99 7 2 1
|
|
titus 231 138 9 11
|
|
tiwari 125 8 4 10
|
|
tj 599 12 28 11
|
|
tkachuk 931 1 9 5
|
|
toader 142 0 0 0
|
|
toads 2 0 1 106
|
|
toal 57 74 1 1
|
|
tobeck 106 0 0 0
|
|
tobey 103 18 4 2
|
|
tobias 473 33 5 16
|
|
tobin 820 106 24 16
|
|
toby 307 17 1 10
|
|
tocco 190 14 1 1
|
|
todd 2947 378 63 85
|
|
toddler 2710 600 24 37
|
|
toddlers 2 6 2 1099
|
|
todt 102 0 1 7
|
|
toe 271 18 181 10
|
|
toffees 3 0 2 125
|
|
toft 149 11 1 6
|
|
togadia 239 0 19 13
|
|
toit 317 57 4 19
|
|
tolan 55 92 1 3
|
|
tolbert 347 55 1 7
|
|
told 9 2 6 221
|
|
toledo 788 34 710 135
|
|
toler 193 32 2 1
|
|
tolkien 370 0 4 2
|
|
tollefson 53 50 1 1
|
|
tolley 88 37 4 2
|
|
tolliver 91 62 4 3
|
|
tollner 98 1 1 0
|
|
tolman 117 18 23 3
|
|
tolme 106 0 0 0
|
|
tolson 115 26 3 2
|
|
tom 4439 102 114 118
|
|
toma 66 32 1 2
|
|
tomas 159 115 9 28
|
|
tomasso 298 2 4 0
|
|
tomboy 1 121 6 2
|
|
tombstones 1 0 0 99
|
|
tomczak 110 5 0 1
|
|
tomey 216 4 1 1
|
|
tomita 122 2 0 0
|
|
tomjanovich 2645 0 3 7
|
|
tomkins 221 1 85 5
|
|
tomko 1105 1 11 3
|
|
tomlin 117 63 3 6
|
|
tomlinson 2290 111 32 50
|
|
tommy 2142 12 102 26
|
|
tompkins 353 85 10 11
|
|
tomporowski 173 2 0 1
|
|
toms 3394 15 33 25
|
|
toner 128 27 8 14
|
|
tones 38 5 24 319
|
|
toney 844 49 9 10
|
|
tong 179 37 9 8
|
|
tonge 32 101 1 3
|
|
tongue 410 60 269 9
|
|
toni 61 168 5 17
|
|
tonight 1198 168 998 1250
|
|
tonken 106 0 0 3
|
|
tonna 288 6 2 2
|
|
tony 4800 78 86 89
|
|
tonya 3 169 3 6
|
|
toogood 22 159 0 4
|
|
toohey 73 24 1 3
|
|
toolan 162 9 0 0
|
|
toole 134 13 5 7
|
|
tooley 236 22 4 2
|
|
toomer 422 6 5 2
|
|
toomey 1051 66 6 10
|
|
tootoo 120 1 1 0
|
|
topinka 14 152 0 7
|
|
topper 79 24 7 3
|
|
topping 56 34 27 6
|
|
torbay 76 0 17 18
|
|
torbert 143 1 0 0
|
|
torborg 456 3 3 6
|
|
torches 2 0 0 136
|
|
torchetti 172 0 2 3
|
|
torgerson 59 556 5 5
|
|
tori 5 271 0 7
|
|
torment 198 0 6 3
|
|
tormentors 33 1 1 84
|
|
torn 232 7 0 1
|
|
tornillo 104 0 0 1
|
|
torquay 11 1 10 128
|
|
torrance 338 30 13 2
|
|
torre 9240 39 55 62
|
|
torrealba 241 0 5 1
|
|
torrence 62 39 0 4
|
|
torres 4473 740 18 77
|
|
torretta 6 154 0 90
|
|
torrey 153 19 10 2
|
|
torricelli 391 0 9 0
|
|
torrijos 306 0 0 1
|
|
tortillas 2 1 1 119
|
|
tortorella 1050 1 3 5
|
|
torturers 2 2 0 103
|
|
torvalds 213 0 7 1
|
|
tory 570 16 82 28
|
|
tosca 1034 17 25 16
|
|
tose 214 0 0 0
|
|
toseland 116 0 0 0
|
|
toshack 149 1 2 0
|
|
toskala 146 0 0 2
|
|
tot 56 57 39 15
|
|
totals 102 15 80 186
|
|
toth 495 95 9 8
|
|
totmianina 0 226 0 1
|
|
totten 143 16 17 2
|
|
totti 628 3 3 3
|
|
touchdown 2688 0 574 1046
|
|
touchdowns 556 0 546 530
|
|
tough 217 30 167 150
|
|
toure 177 11 8 2
|
|
tourist 1821 324 109 89
|
|
toussaint 162 31 1 1
|
|
tout 493 2 4 6
|
|
tovar 179 10 2 1
|
|
tow 41 27 20 30
|
|
towe 91 14 1 0
|
|
towers 784 44 163 391
|
|
towle 128 27 0 3
|
|
towne 92 36 5 4
|
|
townes 116 7 2 5
|
|
towns 185 37 178 7082
|
|
townsend 1311 499 52 65
|
|
townshend 1812 5 2 3
|
|
toxicologist 60 126 3 1
|
|
trabelsi 274 1 0 1
|
|
traber 224 3 3 0
|
|
traces 95 7 66 117
|
|
tracey 144 247 9 20
|
|
tracheotomy 102 3 2 0
|
|
trachsel 696 0 0 2
|
|
tracy 7103 567 79 62
|
|
trader 2013 102 276 85
|
|
traficant 270 1 0 1
|
|
tragedies 11 64 21 224
|
|
trahan 147 34 8 6
|
|
trainee 739 98 6 14
|
|
trainer 9430 344 105 126
|
|
trainers 287 26 72 1774
|
|
trainor 204 20 2 2
|
|
traitor 822 4 5 4
|
|
traitors 6 0 3 547
|
|
trajkovski 752 0 1 4
|
|
trammell 1587 29 29 20
|
|
tramont 763 0 0 1
|
|
tran 458 183 2 21
|
|
tranghese 641 0 28 8
|
|
tranmere 8 1 6 324
|
|
transfer 987 140 980 332
|
|
transient 178 5 3 6
|
|
translator 2373 121 15 47
|
|
transplant 314 103 205 85
|
|
transsexual 38 98 0 0
|
|
trantino 111 5 8 0
|
|
trapattoni 353 0 1 2
|
|
trapp 107 38 5 5
|
|
trapper 136 3 9 4
|
|
trask 204 47 9 5
|
|
travaglini 399 1 2 3
|
|
traveler 687 69 27 63
|
|
traveller 133 15 5 36
|
|
travels 159 30 50 48
|
|
travers 176 38 12 3
|
|
travis 1787 142 61 70
|
|
travolta 299 0 1 1
|
|
trawick 154 15 2 0
|
|
traylor 562 30 3 6
|
|
treacy 105 6 0 2
|
|
treadway 350 13 7 7
|
|
treadwell 561 29 2 6
|
|
treanor 164 34 2 3
|
|
treasurer 3963 1247 172 201
|
|
treble 84 1 20 4
|
|
trejo 115 34 1 1
|
|
tremblay 391 87 6 7
|
|
tremmel 38 135 0 0
|
|
tremonti 110 1 5 1
|
|
trendsetter 7 106 4 0
|
|
trent 967 49 23 13
|
|
trentadue 212 0 1 2
|
|
trescothick 864 0 1 9
|
|
trespasser 249 0 1 1
|
|
tressel 3038 3 37 27
|
|
treu 188 0 0 4
|
|
trevi 8 627 0 0
|
|
trevino 381 53 10 13
|
|
treviño 71 50 1 2
|
|
trevor 818 10 18 21
|
|
trey 361 15 46 11
|
|
trezeguet 251 0 0 1
|
|
triano 239 11 1 1
|
|
trias 7 468 2 0
|
|
tribble 124 15 4 4
|
|
tribesman 400 0 2 15
|
|
tribesmen 11 0 6 1756
|
|
tribute 597 95 294 349
|
|
tributes 515 27 11 42
|
|
trice 77 41 2 3
|
|
triceps 116 2 2 6
|
|
trichet 1737 0 56 24
|
|
tricks 58 4 50 753
|
|
tries 294 57 184 260
|
|
trigg 114 4 18 5
|
|
triggerman 479 0 6 0
|
|
trillanes 97 1 0 14
|
|
trimble 1312 64 132 47
|
|
trinh 110 8 1 2
|
|
trinidad 1614 21 143 35
|
|
trinidadian 105 3 0 2
|
|
trintignant 10 240 0 0
|
|
tripathi 209 13 23 6
|
|
triple 2267 73 55 40
|
|
triples 147 10 23 22
|
|
triplett 1385 105 9 26
|
|
tripp 347 189 11 6
|
|
trippi 999 13 1 38
|
|
trips 263 84 223 517
|
|
trish 26 271 7 26
|
|
trisha 2 130 3 4
|
|
trista 2 117 0 4
|
|
tristan 194 15 3 1
|
|
trombka 140 0 0 0
|
|
trooper 2987 157 43 69
|
|
troopers 438 144 67 4455
|
|
troops 1523 154 1470 118587
|
|
trott 146 18 5 3
|
|
trotta 224 20 1 2
|
|
trotter 1329 137 12 22
|
|
trotters 7 0 6 147
|
|
trottier 540 13 2 3
|
|
trotz 166 0 2 0
|
|
troublemaker 116 8 6 4
|
|
troup 66 7 52 7
|
|
trousers 49 12 11 56
|
|
troussier 162 0 0 0
|
|
trout 194 56 109 193
|
|
troutman 307 106 6 3
|
|
trowbridge 76 40 6 13
|
|
troxell 95 8 2 7
|
|
troxler 136 1 2 0
|
|
troy 736 78 528 102
|
|
troyer 170 20 5 4
|
|
trucker 1346 22 22 8
|
|
trudeau 472 11 11 9
|
|
trueblood 108 12 3 0
|
|
truex 1802 6 16 6
|
|
trufant 178 0 2 1
|
|
truitt 102 31 0 4
|
|
trujillo 456 99 4 11
|
|
trulli 716 0 7 2
|
|
truman 645 22 69 15
|
|
trump 5534 44 41 32
|
|
trundle 103 10 2 1
|
|
trunov 186 0 0 0
|
|
truscott 181 5 1 4
|
|
truss 113 38 27 4
|
|
trustee 1074 152 94 54
|
|
trustman 0 136 0 0
|
|
truthfulness 227 2 6 0
|
|
try 422 87 277 232
|
|
tryon 278 25 15 5
|
|
tryout 256 2 17 5
|
|
tsai 189 71 13 15
|
|
tsang 171 14 8 13
|
|
tsao 702 5 1 2
|
|
tschida 283 1 1 1
|
|
tse 83 79 74 3
|
|
tseng 108 41 4 2
|
|
tsimpedes 179 0 0 0
|
|
tskitishvili 100 0 1 0
|
|
tsurtsumia 503 0 0 0
|
|
tsvangirai 2179 0 23 13
|
|
tszyu 1073 0 10 6
|
|
tua 363 0 7 5
|
|
tubb 143 4 0 1
|
|
tubbs 437 33 12 6
|
|
tuberville 1808 0 22 14
|
|
tucci 161 19 4 6
|
|
tuck 216 376 5 7
|
|
tucker 4552 642 87 81
|
|
tuckey 157 5 3 0
|
|
tudor 281 21 12 5
|
|
tuffey 152 1 5 1
|
|
tug 94 8 89 14
|
|
tugay 136 0 0 2
|
|
tuggle 130 11 2 5
|
|
tugnutt 680 0 0 0
|
|
tuiasosopo 472 1 1 0
|
|
tuite 193 15 3 5
|
|
tull 95 25 6 0
|
|
tully 290 33 25 16
|
|
tuminelli 152 6 0 0
|
|
tung 3166 16 47 26
|
|
tunick 211 2 2 1
|
|
tunisian 174 5 0 6
|
|
tunnell 78 19 1 4
|
|
tupa 107 0 3 1
|
|
tupac 113 1 0 1
|
|
tuqiri 300 0 4 3
|
|
turabi 276 2 1 0
|
|
turan 154 2 2 0
|
|
turco 2473 13 8 3
|
|
turcotte 148 21 5 7
|
|
turek 524 23 3 5
|
|
turgeon 477 88 2 10
|
|
turia 3 284 4 3
|
|
turiaf 614 0 0 1
|
|
turk 803 47 3 8
|
|
turki 321 0 0 1
|
|
turkoglu 532 0 1 4
|
|
turley 739 54 5 0
|
|
turlington 168 9 0 0
|
|
turman 137 15 0 1
|
|
turnbull 520 130 22 8
|
|
turner 10733 1879 215 296
|
|
turney 245 12 5 1
|
|
turns 385 144 271 216
|
|
turow 94 0 6 0
|
|
turpin 117 44 1 9
|
|
tuten 99 6 0 0
|
|
tuthill 124 16 2 8
|
|
tutor 110 57 55 28
|
|
tutors 12 5 6 586
|
|
tutsis 1 0 0 229
|
|
tuttle 375 172 19 24
|
|
tutu 399 15 6 2
|
|
tuzmen 92 0 2 76
|
|
tverdovsky 190 0 1 0
|
|
twagiramungu 239 0 0 1
|
|
twain 72 555 7 37
|
|
tway 554 0 0 0
|
|
tweed 143 16 29 8
|
|
twellman 211 5 1 3
|
|
twins 327 225 152 16500
|
|
twista 153 0 0 0
|
|
twitty 74 23 0 4
|
|
two 6163 1573 6067 303971
|
|
twomey 188 29 2 4
|
|
twos 8 0 2 93
|
|
twu 44 0 43 14
|
|
ty 294 7 3 5
|
|
tycoon 1883 57 9 4
|
|
tycoons 6 2 3 405
|
|
tykes 3 2 1 167
|
|
tyler 2493 361 134 77
|
|
tymoshenko 4 200 3 0
|
|
tyndall 73 20 14 3
|
|
tyner 186 27 4 7
|
|
tynes 312 11 0 0
|
|
tyrant 791 8 3 6
|
|
tyree 229 23 1 4
|
|
tyrone 186 3 15 214
|
|
tyrrell 103 20 14 7
|
|
tyson 17405 135 1022 59
|
|
uba 94 0 21 2
|
|
udall 305 15 9 2
|
|
uday 1109 3 3 27
|
|
udell 118 4 0 1
|
|
udeze 276 1 2 2
|
|
ueberroth 1180 0 2 4
|
|
uecker 360 6 1 1
|
|
ueki 247 0 11 4
|
|
uhl 376 13 36 12
|
|
uhlfelder 118 5 0 0
|
|
uhuru 137 0 3 11
|
|
ujaama 577 0 0 1
|
|
ukrainian 2310 24 87 16
|
|
ukrainians 15 1 1 1484
|
|
ulihrach 190 0 0 0
|
|
ullman 259 18 1 0
|
|
ullrich 4883 19 8 14
|
|
ulman 108 7 0 0
|
|
ulmer 134 195 6 9
|
|
ulrich 193 53 8 12
|
|
ulsterman 196 1 2 2
|
|
ultranationalist 291 0 0 0
|
|
ultras 14 0 3 168
|
|
uma 3 225 19 4
|
|
umaga 246 0 4 5
|
|
umar 195 3 2 1
|
|
umbach 282 2 0 1
|
|
umberto 139 0 0 0
|
|
ump 126 1 74 1
|
|
umphrey 107 18 5 7
|
|
umpire 4305 59 65 32
|
|
umpires 106 2 46 3112
|
|
umps 1 2 0 115
|
|
uncle 6419 165 30 137
|
|
uncles 14 6 2 194
|
|
unconscious 219 187 22 34
|
|
underdog 167 9 120 38
|
|
undergraduate 63 42 39 13
|
|
underheim 120 0 0 0
|
|
underhill 239 72 11 9
|
|
underlings 7 2 0 105
|
|
undersecretary 1346 32 27 65
|
|
undertaker 193 5 18 3
|
|
underwood 855 197 32 27
|
|
unger 460 93 11 29
|
|
unitas 121 0 2 1
|
|
unknown 159 21 56 70
|
|
unruh 152 33 3 12
|
|
unser 1229 12 3 0
|
|
unsworth 106 7 2 3
|
|
upchurch 109 33 2 6
|
|
updike 136 5 2 2
|
|
upshaw 555 68 5 4
|
|
upson 273 7 1 6
|
|
upton 577 35 19 42
|
|
urban 549 89 31 12
|
|
urbani 229 3 18 0
|
|
urbina 814 29 3 18
|
|
uribe 2599 28 15 15
|
|
urick 113 3 1 0
|
|
uris 499 1 1 0
|
|
urlacher 1049 0 9 3
|
|
urologist 111 0 0 4
|
|
urquhart 218 27 2 5
|
|
urso 85 12 4 3
|
|
uruguayan 149 0 5 1
|
|
usama 106 0 0 2
|
|
user 1179 151 440 1510
|
|
usha 3 106 2 5
|
|
usher 1982 40 15 43
|
|
uske 0 114 0 0
|
|
ustinov 2030 0 0 2
|
|
uthlaut 219 0 0 0
|
|
utley 684 7 5 2
|
|
utzon 123 0 1 1
|
|
uzan 118 0 0 0
|
|
uzbek 693 0 7 2
|
|
uzbeks 4 0 2 163
|
|
vaart 104 1 0 1
|
|
vaas 569 0 11 1
|
|
vacationing 31 316 9 17
|
|
vaccaro 712 7 3 8
|
|
vacher 1 118 0 1
|
|
vaden 88 11 3 3
|
|
vaghela 109 0 4 17
|
|
vahaly 204 0 2 0
|
|
vaidisova 0 154 0 0
|
|
vaiko 359 0 10 2
|
|
vaile 325 2 14 5
|
|
vajpayee 6975 18 167 104
|
|
val 52 113 9 6
|
|
valade 205 3 0 2
|
|
valance 4 107 4 6
|
|
valdano 121 0 2 9
|
|
valderrama 264 8 5 0
|
|
valdes 603 16 1 3
|
|
valdez 1025 235 19 26
|
|
valdivia 183 25 8 4
|
|
vale 77 36 57 288
|
|
valedictorian 53 53 3 3
|
|
valek 1 132 2 1
|
|
valent 197 1 0 3
|
|
valente 62 35 3 4
|
|
valenti 803 29 37 9
|
|
valentin 965 119 6 5
|
|
valentine 949 280 39 23
|
|
valentino 151 47 10 4
|
|
valenzuela 1134 64 4 13
|
|
valeri 199 6 1 6
|
|
valerie 14 510 4 14
|
|
valet 154 5 4 5
|
|
vallas 255 2 3 3
|
|
valle 112 103 19 89
|
|
vallee 118 7 3 0
|
|
valles 32 77 1 5
|
|
valletta 12 0 6 104
|
|
valli 97 4 0 2
|
|
valliere 70 78 0 5
|
|
vally 2 220 0 0
|
|
valverde 181 12 1 2
|
|
vampire 122 5 5 3
|
|
vanbiesbrouck 322 0 2 0
|
|
vance 975 163 36 43
|
|
vanclief 298 0 1 8
|
|
vandenberg 113 30 8 5
|
|
vanderford 1062 3 2 2
|
|
vanderhoef 100 13 0 2
|
|
vanderjagt 1461 0 9 1
|
|
vandermeer 136 9 0 1
|
|
vanderpool 347 5 1 2
|
|
vanderveer 8 193 1 6
|
|
vandevelde 133 0 2 0
|
|
vandeweghe 367 0 17 2
|
|
vandross 1029 67 0 0
|
|
vanek 282 10 0 13
|
|
vanessa 23 505 15 20
|
|
vang 4743 39 1 41
|
|
vanlester 0 276 0 0
|
|
vann 110 40 3 5
|
|
vanner 119 3 0 3
|
|
vanover 88 22 1 3
|
|
vanstone 28 115 10 12
|
|
vanunu 4768 12 6 16
|
|
varada 180 0 0 0
|
|
vardalos 1 251 13 5
|
|
varela 99 54 4 7
|
|
varga 136 93 6 2
|
|
vargas 2200 221 6 23
|
|
varitek 2104 0 8 13
|
|
varley 133 10 1 3
|
|
varma 176 4 1 2
|
|
varner 187 52 1 8
|
|
varney 123 13 5 4
|
|
vasconcellos 95 2 0 6
|
|
vasher 140 1 0 1
|
|
vasicek 157 0 9 0
|
|
vasil 112 1 0 2
|
|
vasquez 1047 272 12 36
|
|
vassell 517 0 5 9
|
|
vasser 433 3 3 1
|
|
vaughan 3173 176 64 76
|
|
vaughn 2299 292 30 36
|
|
vaught 97 22 2 3
|
|
vazquez 2899 68 7 17
|
|
vc 108 0 59 22
|
|
ve 18 5 17 91
|
|
veal 181 30 9 8
|
|
vedder 146 11 2 4
|
|
veer 138 5 14 1
|
|
veerappan 794 1 4 4
|
|
vega 569 166 60 22
|
|
veil 16 124 65 17
|
|
veilleux 134 16 2 1
|
|
veils 0 3 1 902
|
|
veins 14 1 6 201
|
|
vela 264 42 6 6
|
|
velardez 115 0 0 0
|
|
velasco 382 73 5 15
|
|
velasquez 346 99 4 19
|
|
velazquez 464 119 3 5
|
|
velchev 118 1 6 3
|
|
velella 428 1 2 0
|
|
velez 303 72 5 17
|
|
velisavljevic 210 0 0 0
|
|
vella 159 26 4 7
|
|
venable 169 31 8 3
|
|
venables 774 0 21 15
|
|
vendt 106 1 0 1
|
|
venegas 88 16 2 1
|
|
veneman 4 990 14 15
|
|
venezuelan 314 17 2 1
|
|
venezuelans 22 0 18 914
|
|
venkatesh 225 2 0 0
|
|
venn 444 4 2 1
|
|
venter 385 40 21 9
|
|
ventura 3020 53 142 20
|
|
venturi 477 9 11 2
|
|
venus 22 7195 165 42
|
|
venuti 66 35 1 0
|
|
vera 100 423 17 8
|
|
verba 134 7 1 0
|
|
verdasco 111 0 0 0
|
|
verdi 193 8 14 0
|
|
verdicts 22 4 8 68
|
|
veres 138 6 1 2
|
|
vergara 111 16 2 4
|
|
verges 516 2 0 1
|
|
verheugen 285 0 10 38
|
|
verhofstadt 490 0 0 2
|
|
verkerk 1759 9 1 0
|
|
verma 304 13 14 18
|
|
vermeer 178 8 3 0
|
|
vermeil 2645 0 45 18
|
|
vermeulen 171 17 8 4
|
|
vernon 364 294 62 29
|
|
veron 506 5 3 8
|
|
veronica 11 403 8 6
|
|
verplank 845 1 0 0
|
|
versatility 113 58 91 29
|
|
verse 508 4 76 12
|
|
verstappen 117 0 1 0
|
|
vertebra 1960 12 4 1
|
|
vertebrae 75 21 40 12
|
|
very 130 2 8 6
|
|
vest 1256 47 92 30
|
|
vestal 76 17 18 5
|
|
vesterdorf 188 0 4 6
|
|
vet 517 101 152 87
|
|
veteran 20709 605 156 255
|
|
veterans 401 35 363 19249
|
|
vetere 10 11 0 101
|
|
veterinarian 388 214 26 59
|
|
vetter 163 24 2 2
|
|
vettori 374 1 5 13
|
|
vials 13 2 6 428
|
|
viana 124 8 0 1
|
|
vic 223 8 7 11
|
|
vicale 254 0 0 0
|
|
vicar 179 14 4 1
|
|
vice 272 230 131 119
|
|
vicente 360 12 2 20
|
|
vicites 195 0 2 1
|
|
vick 12224 44 31 26
|
|
vickers 2648 74 18 25
|
|
vickery 277 18 10 18
|
|
vicki 10 271 1 9
|
|
vicky 22 163 7 6
|
|
victim 22932 17086 662 1401
|
|
victims 715 173 413 51110
|
|
victor 1471 72 112 44
|
|
victoria 109 1255 657 236
|
|
victorian 178 22 28 8
|
|
victories 822 55 323 941
|
|
victorino 699 4 1 0
|
|
victors 7 0 2 217
|
|
vidal 480 19 15 9
|
|
videocassette 94 1 7 0
|
|
videographer 90 0 3 7
|
|
videos 163 31 66 2436
|
|
videotapes 61 13 14 144
|
|
vidmar 119 6 1 1
|
|
vidro 1009 0 6 3
|
|
viduka 1042 0 13 21
|
|
vieira 3682 74 11 18
|
|
viera 94 7 3 4
|
|
vieri 429 0 2 12
|
|
viewer 345 76 90 224
|
|
vigil 234 80 113 189
|
|
vigilante 151 3 13 7
|
|
vigilantes 5 1 3 677
|
|
vijay 739 2 4 9
|
|
vika 3 254 0 1
|
|
viktor 289 1 0 4
|
|
viktoria 0 110 0 2
|
|
vila 231 8 2 10
|
|
vilas 109 2 3 0
|
|
viljoen 126 13 4 7
|
|
villa 263 89 182 2075
|
|
villager 660 62 8 27
|
|
villagers 139 19 80 9304
|
|
villain 747 32 16 8
|
|
villains 9 0 8 286
|
|
villalba 8 368 3 2
|
|
villalobos 112 20 0 5
|
|
villalta 138 0 0 0
|
|
villanueva 776 39 5 11
|
|
villar 137 5 8 7
|
|
villaraigosa 237 0 0 0
|
|
villareal 98 16 2 54
|
|
villarreal 273 70 101 301
|
|
villarrial 95 0 0 17
|
|
villas 11 2 3 122
|
|
villasenor 128 11 0 0
|
|
villegas 355 47 1 5
|
|
villeneuve 987 6 3 8
|
|
villepin 729 0 9 49
|
|
villers 293 18 0 0
|
|
villone 218 0 1 0
|
|
vilma 222 28 0 3
|
|
viloria 105 3 1 1
|
|
vilsack 1661 71 23 26
|
|
vin 213 2 17 1
|
|
vina 282 11 12 7
|
|
vinatieri 955 0 3 4
|
|
vince 1009 18 24 22
|
|
vincent 2946 211 47 40
|
|
vindication 414 4 35 5
|
|
vines 248 33 43 175
|
|
vining 85 12 0 4
|
|
vinnie 112 4 2 4
|
|
vinny 305 1 7 13
|
|
vinokourov 477 0 14 0
|
|
vinroot 648 0 3 1
|
|
vinson 225 64 18 6
|
|
vinton 109 6 2 4
|
|
viola 76 101 22 14
|
|
violet 11 129 6 11
|
|
violette 280 7 2 1
|
|
violinist 185 50 2 3
|
|
violinists 1 0 0 110
|
|
virenque 822 0 0 0
|
|
virgil 108 1 7 5
|
|
virk 31 163 0 2
|
|
virtue 217 17 189 42
|
|
vise 2 310 3 3
|
|
visionaries 6 0 5 179
|
|
visionary 354 10 22 5
|
|
visit 2699 320 1814 703
|
|
visitor 908 287 128 221
|
|
visser 83 83 1 10
|
|
vitale 764 60 7 8
|
|
vitali 985 6 2 4
|
|
vitter 863 3 2 5
|
|
vivek 164 0 2 0
|
|
vivian 130 83 7 6
|
|
vizcaino 289 1 1 0
|
|
vizquel 2169 0 1 7
|
|
vladimir 234 0 2 1
|
|
vlazny 148 0 1 3
|
|
vo 97 78 4 2
|
|
vocalist 82 120 6 4
|
|
voeckler 796 0 0 1
|
|
voeller 334 6 0 9
|
|
vogel 518 202 22 20
|
|
vogelsong 531 2 1 2
|
|
vogt 189 67 4 13
|
|
vogts 1168 1 15 23
|
|
vohra 190 2 1 3
|
|
voight 89 35 6 5
|
|
voigt 202 85 4 3
|
|
voinovich 853 0 2 11
|
|
vokoun 1259 3 4 1
|
|
volandri 127 0 0 0
|
|
volcanoes 2 2 1 152
|
|
volcker 758 0 1 2
|
|
voldemort 190 0 0 1
|
|
volek 1190 0 4 2
|
|
volk 127 32 6 12
|
|
volker 93 10 0 1
|
|
volkers 100 8 1 2
|
|
voller 208 0 2 3
|
|
volley 85 4 57 24
|
|
vollmer 94 109 4 2
|
|
volochkova 0 606 1 0
|
|
voloshin 241 0 0 0
|
|
volpe 290 29 5 2
|
|
voltchkov 216 0 0 0
|
|
volunteer 986 779 220 317
|
|
volz 68 70 0 2
|
|
vonderheid 115 0 3 6
|
|
voorhees 54 32 40 9
|
|
vorilhon 506 0 0 0
|
|
vorster 90 7 4 15
|
|
vos 218 46 3 2
|
|
voss 533 94 19 8
|
|
votaw 358 6 4 24
|
|
voter 3937 444 111 518
|
|
voters 2018 358 1350 104368
|
|
vowell 45 58 1 0
|
|
vows 31 16 27 33
|
|
voyles 99 19 2 2
|
|
vp 211 19 24 13
|
|
vrabel 348 15 0 4
|
|
vrbata 141 0 0 2
|
|
vries 197 9 2 15
|
|
vriesde 0 148 0 0
|
|
vroman 345 3 0 3
|
|
vu 108 28 85 18
|
|
vulgarity 120 1 18 2
|
|
vultures 6 0 3 154
|
|
vyas 143 12 3 3
|
|
vyborny 271 0 0 0
|
|
w 175 21 168 26
|
|
waagner 558 0 0 1
|
|
wabara 129 4 3 1
|
|
wachowskis 1 0 0 131
|
|
wacker 100 25 12 4
|
|
waddell 846 120 15 16
|
|
waddle 321 21 3 0
|
|
wade 6008 391 168 84
|
|
wading 119 0 12 7
|
|
wadkins 303 6 3 0
|
|
wadsworth 496 26 27 7
|
|
waechter 295 3 0 0
|
|
wager 147 17 15 6
|
|
wagers 24 4 4 188
|
|
wagg 109 2 2 0
|
|
waggoner 125 71 1 11
|
|
wagle 19 106 1 5
|
|
wagner 5699 753 194 105
|
|
wagoner 449 33 10 5
|
|
wagstaff 29 103 7 2
|
|
wahid 315 2 8 4
|
|
wahl 204 66 4 9
|
|
wahlberg 153 5 1 0
|
|
wainwright 322 33 9 3
|
|
waist 54 27 11 48
|
|
waite 516 68 9 35
|
|
waiter 865 18 17 65
|
|
waiters 35 17 3 301
|
|
waitress 39 1987 22 40
|
|
waitresses 10 6 2 172
|
|
waits 85 20 14 39
|
|
waitt 298 4 6 14
|
|
waivers 3678 5 86 128
|
|
wakefield 1705 61 91 176
|
|
waksal 6796 4 3 3
|
|
walcher 163 16 1 1
|
|
walchhofer 126 0 0 0
|
|
walcott 98 12 1 4
|
|
wald 241 26 5 0
|
|
walden 519 86 45 61
|
|
walder 80 13 0 7
|
|
waldheim 106 0 0 0
|
|
waldman 125 47 5 4
|
|
waldon 153 10 0 1
|
|
waldorf 809 5 17 4
|
|
waldron 289 105 49 16
|
|
waldrop 108 20 3 0
|
|
walesa 128 0 0 4
|
|
wali 837 8 1 0
|
|
walk 1664 110 499 168
|
|
walken 249 0 4 1
|
|
walker 20107 3224 328 481
|
|
walking 527 199 324 344
|
|
walkinshaw 125 2 2 3
|
|
walks 5435 54 44 120
|
|
walkup 126 12 3 4
|
|
wallabies 38 1 19 1641
|
|
wallaby 73 0 22 7
|
|
wallace 17840 797 184 206
|
|
wallach 78 26 3 2
|
|
waller 527 141 15 19
|
|
wallerstein 153 4 1 0
|
|
wallets 7 1 6 380
|
|
wallin 160 30 6 4
|
|
wallis 791 118 6 11
|
|
walls 713 149 241 626
|
|
wally 250 4 8 6
|
|
walp 242 2 0 0
|
|
walrath 92 60 3 1
|
|
walrus 179 1 9 1
|
|
walsh 5490 839 221 233
|
|
walt 593 41 27 37
|
|
walter 2228 451 71 47
|
|
walters 4502 799 87 108
|
|
walther 136 22 24 4
|
|
walton 2553 275 69 79
|
|
waltrip 3329 2 16 7
|
|
waltz 97 34 16 3
|
|
walvius 0 99 2 5
|
|
walz 312 47 7 9
|
|
wamalwa 187 4 4 7
|
|
wambach 16 843 2 2
|
|
wamp 285 0 2 0
|
|
wampler 157 22 14 5
|
|
wanda 7 391 3 16
|
|
wando 88 0 17 1
|
|
wang 2921 451 81 80
|
|
wannabe 265 22 6 6
|
|
wannstedt 4156 3 21 21
|
|
waple 115 0 1 3
|
|
waqar 309 0 11 3
|
|
waratahs 13 0 6 407
|
|
warburton 111 10 3 4
|
|
ward 13687 1484 317 241
|
|
wardak 192 0 0 24
|
|
wardell 71 64 8 1
|
|
warden 852 118 28 55
|
|
wardens 16 4 10 452
|
|
warders 15 3 0 84
|
|
wardle 130 17 2 7
|
|
wardy 109 0 0 1
|
|
ware 1581 175 37 28
|
|
wares 16 1 12 339
|
|
warfield 374 11 4 4
|
|
wargo 87 18 1 1
|
|
warhol 270 4 5 1
|
|
wariner 338 6 1 3
|
|
warlord 1687 0 2 8
|
|
warne 6657 58 52 26
|
|
warner 12382 461 266 129
|
|
warnock 616 22 8 24
|
|
warrant 17449 2040 164 409
|
|
warrants 2051 330 105 1129
|
|
warren 4570 714 256 129
|
|
warrener 123 2 0 1
|
|
warrick 1121 22 30 6
|
|
warriner 101 12 0 1
|
|
warrington 87 28 10 191
|
|
warrior 1692 45 55 28
|
|
warsame 271 1 0 3
|
|
warsoldier 154 0 0 0
|
|
warthogs 2 0 1 149
|
|
warwick 154 63 54 31
|
|
warwickshire 20 0 14 421
|
|
wasdin 218 0 0 1
|
|
washburn 1361 104 174 35 |