Frequencies for countyal2000 dataset : by Jean Roth , jroth@nber.org , 23 Jun 2017 Frequencies for fipscounty variable in countyal2000 dataset : FIPS County | Code | Freq. Percent Cum. ------------+----------------------------------- 01000 | 1 1.47 1.47 01001 | 1 1.47 2.94 01003 | 1 1.47 4.41 01005 | 1 1.47 5.88 01007 | 1 1.47 7.35 01009 | 1 1.47 8.82 01011 | 1 1.47 10.29 01013 | 1 1.47 11.76 01015 | 1 1.47 13.24 01017 | 1 1.47 14.71 01019 | 1 1.47 16.18 01021 | 1 1.47 17.65 01023 | 1 1.47 19.12 01025 | 1 1.47 20.59 01027 | 1 1.47 22.06 01029 | 1 1.47 23.53 01031 | 1 1.47 25.00 01033 | 1 1.47 26.47 01035 | 1 1.47 27.94 01037 | 1 1.47 29.41 01039 | 1 1.47 30.88 01041 | 1 1.47 32.35 01043 | 1 1.47 33.82 01045 | 1 1.47 35.29 01047 | 1 1.47 36.76 01049 | 1 1.47 38.24 01051 | 1 1.47 39.71 01053 | 1 1.47 41.18 01055 | 1 1.47 42.65 01057 | 1 1.47 44.12 01059 | 1 1.47 45.59 01061 | 1 1.47 47.06 01063 | 1 1.47 48.53 01065 | 1 1.47 50.00 01067 | 1 1.47 51.47 01069 | 1 1.47 52.94 01071 | 1 1.47 54.41 01073 | 1 1.47 55.88 01075 | 1 1.47 57.35 01077 | 1 1.47 58.82 01079 | 1 1.47 60.29 01081 | 1 1.47 61.76 01083 | 1 1.47 63.24 01085 | 1 1.47 64.71 01087 | 1 1.47 66.18 01089 | 1 1.47 67.65 01091 | 1 1.47 69.12 01093 | 1 1.47 70.59 01095 | 1 1.47 72.06 01097 | 1 1.47 73.53 01099 | 1 1.47 75.00 01101 | 1 1.47 76.47 01103 | 1 1.47 77.94 01105 | 1 1.47 79.41 01107 | 1 1.47 80.88 01109 | 1 1.47 82.35 01111 | 1 1.47 83.82 01113 | 1 1.47 85.29 01115 | 1 1.47 86.76 01117 | 1 1.47 88.24 01119 | 1 1.47 89.71 01121 | 1 1.47 91.18 01123 | 1 1.47 92.65 01125 | 1 1.47 94.12 01127 | 1 1.47 95.59 01129 | 1 1.47 97.06 01131 | 1 1.47 98.53 01133 | 1 1.47 100.00 ------------+----------------------------------- Total | 68 100.00 Frequencies for statefips variable in countyal2000 dataset : The State | Federal | Information | Processing | System | (FIPS) code | Freq. Percent Cum. ------------+----------------------------------- 01 | 68 100.00 100.00 ------------+----------------------------------- Total | 68 100.00 Frequencies for countyfips variable in countyal2000 dataset : 3-digit | County FIPS | code | Freq. Percent Cum. ------------+----------------------------------- 000 | 1 1.47 1.47 001 | 1 1.47 2.94 003 | 1 1.47 4.41 005 | 1 1.47 5.88 007 | 1 1.47 7.35 009 | 1 1.47 8.82 011 | 1 1.47 10.29 013 | 1 1.47 11.76 015 | 1 1.47 13.24 017 | 1 1.47 14.71 019 | 1 1.47 16.18 021 | 1 1.47 17.65 023 | 1 1.47 19.12 025 | 1 1.47 20.59 027 | 1 1.47 22.06 029 | 1 1.47 23.53 031 | 1 1.47 25.00 033 | 1 1.47 26.47 035 | 1 1.47 27.94 037 | 1 1.47 29.41 039 | 1 1.47 30.88 041 | 1 1.47 32.35 043 | 1 1.47 33.82 045 | 1 1.47 35.29 047 | 1 1.47 36.76 049 | 1 1.47 38.24 051 | 1 1.47 39.71 053 | 1 1.47 41.18 055 | 1 1.47 42.65 057 | 1 1.47 44.12 059 | 1 1.47 45.59 061 | 1 1.47 47.06 063 | 1 1.47 48.53 065 | 1 1.47 50.00 067 | 1 1.47 51.47 069 | 1 1.47 52.94 071 | 1 1.47 54.41 073 | 1 1.47 55.88 075 | 1 1.47 57.35 077 | 1 1.47 58.82 079 | 1 1.47 60.29 081 | 1 1.47 61.76 083 | 1 1.47 63.24 085 | 1 1.47 64.71 087 | 1 1.47 66.18 089 | 1 1.47 67.65 091 | 1 1.47 69.12 093 | 1 1.47 70.59 095 | 1 1.47 72.06 097 | 1 1.47 73.53 099 | 1 1.47 75.00 101 | 1 1.47 76.47 103 | 1 1.47 77.94 105 | 1 1.47 79.41 107 | 1 1.47 80.88 109 | 1 1.47 82.35 111 | 1 1.47 83.82 113 | 1 1.47 85.29 115 | 1 1.47 86.76 117 | 1 1.47 88.24 119 | 1 1.47 89.71 121 | 1 1.47 91.18 123 | 1 1.47 92.65 125 | 1 1.47 94.12 127 | 1 1.47 95.59 129 | 1 1.47 97.06 131 | 1 1.47 98.53 133 | 1 1.47 100.00 ------------+----------------------------------- Total | 68 100.00 Frequencies for countyname variable in countyal2000 dataset : County Name | Freq. Percent Cum. ------------------+----------------------------------- ALABAMA | 1 1.47 1.47 AUTAUGA COUNTY | 1 1.47 2.94 BALDWIN COUNTY | 1 1.47 4.41 BARBOUR COUNTY | 1 1.47 5.88 BIBB COUNTY | 1 1.47 7.35 BLOUNT COUNTY | 1 1.47 8.82 BULLOCK COUNTY | 1 1.47 10.29 BUTLER COUNTY | 1 1.47 11.76 CALHOUN COUNTY | 1 1.47 13.24 CHAMBERS COUNTY | 1 1.47 14.71 CHEROKEE COUNTY | 1 1.47 16.18 CHILTON COUNTY | 1 1.47 17.65 CHOCTAW COUNTY | 1 1.47 19.12 CLARKE COUNTY | 1 1.47 20.59 CLAY COUNTY | 1 1.47 22.06 CLEBURNE COUNTY | 1 1.47 23.53 COFFEE COUNTY | 1 1.47 25.00 COLBERT COUNTY | 1 1.47 26.47 CONECUH COUNTY | 1 1.47 27.94 COOSA COUNTY | 1 1.47 29.41 COVINGTON COUNTY | 1 1.47 30.88 CRENSHAW COUNTY | 1 1.47 32.35 CULLMAN COUNTY | 1 1.47 33.82 DALE COUNTY | 1 1.47 35.29 DALLAS COUNTY | 1 1.47 36.76 DE KALB COUNTY | 1 1.47 38.24 ELMORE COUNTY | 1 1.47 39.71 ESCAMBIA COUNTY | 1 1.47 41.18 ETOWAH COUNTY | 1 1.47 42.65 FAYETTE COUNTY | 1 1.47 44.12 FRANKLIN COUNTY | 1 1.47 45.59 GENEVA COUNTY | 1 1.47 47.06 GREENE COUNTY | 1 1.47 48.53 HALE COUNTY | 1 1.47 50.00 HENRY COUNTY | 1 1.47 51.47 HOUSTON COUNTY | 1 1.47 52.94 JACKSON COUNTY | 1 1.47 54.41 JEFFERSON COUNTY | 1 1.47 55.88 LAMAR COUNTY | 1 1.47 57.35 LAUDERDALE COUNTY | 1 1.47 58.82 LAWRENCE COUNTY | 1 1.47 60.29 LEE COUNTY | 1 1.47 61.76 LIMESTONE COUNTY | 1 1.47 63.24 LOWNDES COUNTY | 1 1.47 64.71 MACON COUNTY | 1 1.47 66.18 MADISON COUNTY | 1 1.47 67.65 MARENGO COUNTY | 1 1.47 69.12 MARION COUNTY | 1 1.47 70.59 MARSHALL COUNTY | 1 1.47 72.06 MOBILE COUNTY | 1 1.47 73.53 MONROE COUNTY | 1 1.47 75.00 MONTGOMERY COUNTY | 1 1.47 76.47 MORGAN COUNTY | 1 1.47 77.94 PERRY COUNTY | 1 1.47 79.41 PICKENS COUNTY | 1 1.47 80.88 PIKE COUNTY | 1 1.47 82.35 RANDOLPH COUNTY | 1 1.47 83.82 RUSSELL COUNTY | 1 1.47 85.29 SHELBY COUNTY | 1 1.47 86.76 ST. CLAIR COUNTY | 1 1.47 88.24 SUMTER COUNTY | 1 1.47 89.71 TALLADEGA COUNTY | 1 1.47 91.18 TALLAPOOSA COUNTY | 1 1.47 92.65 TUSCALOOSA COUNTY | 1 1.47 94.12 WALKER COUNTY | 1 1.47 95.59 WASHINGTON COUNTY | 1 1.47 97.06 WILCOX COUNTY | 1 1.47 98.53 WINSTON COUNTY | 1 1.47 100.00 ------------------+----------------------------------- Total | 68 100.00 Frequencies for n1 variable in countyal2000 dataset : Number of | returns | Freq. Percent Cum. ------------+----------------------------------- 3,395 | 1 1.47 1.47 3,740 | 1 1.47 2.94 3,808 | 1 1.47 4.41 4,396 | 1 1.47 5.88 4,798 | 1 1.47 7.35 4,939 | 1 1.47 8.82 5,081 | 1 1.47 10.29 5,122 | 1 1.47 11.76 5,233 | 1 1.47 13.24 5,505 | 1 1.47 14.71 5,572 | 1 1.47 16.18 5,743 | 1 1.47 17.65 5,919 | 1 1.47 19.12 6,283 | 1 1.47 20.59 6,294 | 1 1.47 22.06 6,424 | 1 1.47 23.53 7,391 | 1 1.47 25.00 7,519 | 1 1.47 26.47 7,734 | 1 1.47 27.94 7,814 | 1 1.47 29.41 7,966 | 1 1.47 30.88 8,032 | 1 1.47 32.35 8,034 | 1 1.47 33.82 8,576 | 1 1.47 35.29 8,762 | 1 1.47 36.76 8,802 | 1 1.47 38.24 9,204 | 1 1.47 39.71 9,471 | 1 1.47 41.18 9,812 | 1 1.47 42.65 10,072 | 1 1.47 44.12 10,502 | 1 1.47 45.59 11,149 | 1 1.47 47.06 12,755 | 1 1.47 48.53 13,637 | 1 1.47 50.00 13,729 | 1 1.47 51.47 13,731 | 1 1.47 52.94 14,870 | 1 1.47 54.41 15,616 | 1 1.47 55.88 16,579 | 1 1.47 57.35 17,466 | 1 1.47 58.82 17,868 | 1 1.47 60.29 18,379 | 1 1.47 61.76 18,600 | 1 1.47 63.24 19,112 | 1 1.47 64.71 20,261 | 1 1.47 66.18 20,957 | 1 1.47 67.65 22,203 | 1 1.47 69.12 23,801 | 1 1.47 70.59 24,827 | 1 1.47 72.06 25,016 | 1 1.47 73.53 26,245 | 1 1.47 75.00 27,978 | 1 1.47 76.47 27,981 | 1 1.47 77.94 28,493 | 1 1.47 79.41 32,707 | 1 1.47 80.88 34,688 | 1 1.47 82.35 37,114 | 1 1.47 83.82 38,576 | 1 1.47 85.29 43,161 | 1 1.47 86.76 46,661 | 1 1.47 88.24 53,724 | 1 1.47 89.71 56,093 | 1 1.47 91.18 60,163 | 1 1.47 92.65 87,922 | 1 1.47 94.12 112,258 | 1 1.47 95.59 150,381 | 1 1.47 97.06 265,934 | 1 1.47 98.53 1682578 | 1 1.47 100.00 ------------+----------------------------------- Total | 68 100.00 Frequencies for n2 variable in countyal2000 dataset : Number of | exemptions | 1040:6d | Freq. Percent Cum. ------------+----------------------------------- 7,938 | 1 1.47 1.47 8,407 | 1 1.47 2.94 8,761 | 1 1.47 4.41 10,846 | 1 1.47 5.88 11,048 | 1 1.47 7.35 11,135 | 1 1.47 8.82 11,356 | 1 1.47 10.29 11,690 | 1 1.47 11.76 11,721 | 1 1.47 13.24 12,321 | 1 1.47 14.71 12,746 | 1 1.47 16.18 12,855 | 1 1.47 17.65 13,358 | 1 1.47 19.12 13,881 | 1 1.47 20.59 14,929 | 1 1.47 22.06 15,200 | 1 1.47 23.53 17,127 | 1 1.47 25.00 17,157 | 1 1.47 26.47 17,190 | 1 1.47 27.94 17,757 | 1 1.47 29.41 17,901 | 1 1.47 30.88 17,996 | 1 1.47 32.35 18,432 | 1 1.47 33.82 19,540 | 1 1.47 35.29 19,732 | 1 1.47 36.76 20,403 | 1 1.47 38.24 20,615 | 1 1.47 39.71 21,075 | 1 1.47 41.18 21,476 | 1 1.47 42.65 22,240 | 1 1.47 44.12 25,176 | 1 1.47 45.59 25,770 | 1 1.47 47.06 29,607 | 1 1.47 48.53 30,240 | 1 1.47 50.00 30,529 | 1 1.47 51.47 31,654 | 1 1.47 52.94 32,531 | 1 1.47 54.41 33,946 | 1 1.47 55.88 37,211 | 1 1.47 57.35 40,032 | 1 1.47 58.82 41,681 | 1 1.47 60.29 42,132 | 1 1.47 61.76 42,136 | 1 1.47 63.24 43,781 | 1 1.47 64.71 44,745 | 1 1.47 66.18 46,356 | 1 1.47 67.65 51,087 | 1 1.47 69.12 53,852 | 1 1.47 70.59 57,076 | 1 1.47 72.06 57,732 | 1 1.47 73.53 59,796 | 1 1.47 75.00 62,088 | 1 1.47 76.47 62,840 | 1 1.47 77.94 65,192 | 1 1.47 79.41 71,988 | 1 1.47 80.88 76,706 | 1 1.47 82.35 81,824 | 1 1.47 83.82 84,936 | 1 1.47 85.29 97,289 | 1 1.47 86.76 102,383 | 1 1.47 88.24 122,612 | 1 1.47 89.71 124,043 | 1 1.47 91.18 130,599 | 1 1.47 92.65 187,551 | 1 1.47 94.12 245,233 | 1 1.47 95.59 333,373 | 1 1.47 97.06 565,506 | 1 1.47 98.53 3728066 | 1 1.47 100.00 ------------+----------------------------------- Total | 68 100.00 Frequencies for a00100 variable in countyal2000 dataset : Adjusted | gross | income | (AGI) | 1040:37 / | 1040A:21 / | 1040EZ:4 | Freq. Percent Cum. ------------+----------------------------------- 84,081 | 1 1.47 1.47 89,022 | 1 1.47 2.94 96,638 | 1 1.47 4.41 120,664 | 1 1.47 5.88 124,975 | 1 1.47 7.35 134,333 | 1 1.47 8.82 144,726 | 1 1.47 10.29 147,173 | 1 1.47 11.76 158,353 | 1 1.47 13.24 177,111 | 1 1.47 14.71 180,710 | 1 1.47 16.18 181,513 | 1 1.47 17.65 187,040 | 1 1.47 19.12 192,963 | 1 1.47 20.59 205,131 | 1 1.47 22.06 210,040 | 1 1.47 23.53 213,710 | 1 1.47 25.00 233,746 | 1 1.47 26.47 240,654 | 1 1.47 27.94 241,385 | 1 1.47 29.41 245,201 | 1 1.47 30.88 246,808 | 1 1.47 32.35 262,581 | 1 1.47 33.82 277,459 | 1 1.47 35.29 281,393 | 1 1.47 36.76 283,716 | 1 1.47 38.24 289,985 | 1 1.47 39.71 294,987 | 1 1.47 41.18 297,373 | 1 1.47 42.65 329,088 | 1 1.47 44.12 357,179 | 1 1.47 45.59 367,064 | 1 1.47 47.06 426,044 | 1 1.47 48.53 438,643 | 1 1.47 50.00 446,103 | 1 1.47 51.47 476,926 | 1 1.47 52.94 501,882 | 1 1.47 54.41 502,125 | 1 1.47 55.88 513,364 | 1 1.47 57.35 583,607 | 1 1.47 58.82 608,334 | 1 1.47 60.29 611,461 | 1 1.47 61.76 685,329 | 1 1.47 63.24 704,120 | 1 1.47 64.71 733,180 | 1 1.47 66.18 770,367 | 1 1.47 67.65 803,471 | 1 1.47 69.12 856,267 | 1 1.47 70.59 863,148 | 1 1.47 72.06 909,521 | 1 1.47 73.53 996,422 | 1 1.47 75.00 1014056 | 1 1.47 76.47 1023103 | 1 1.47 77.94 1041268 | 1 1.47 79.41 1287962 | 1 1.47 80.88 1337321 | 1 1.47 82.35 1462758 | 1 1.47 83.82 1582252 | 1 1.47 85.29 1642935 | 1 1.47 86.76 1861860 | 1 1.47 88.24 2526609 | 1 1.47 89.71 2557623 | 1 1.47 91.18 3422263 | 1 1.47 92.65 3772141 | 1 1.47 94.12 5680775 | 1 1.47 95.59 5952241 | 1 1.47 97.06 1.26e+07 | 1 1.47 98.53 6.81e+07 | 1 1.47 100.00 ------------+----------------------------------- Total | 68 100.00 Frequencies for a00200 variable in countyal2000 dataset : Salaries | and wages | amount | 1040:7 / | 1040A:7 / | 1040EZ:1 | Freq. Percent Cum. ------------+----------------------------------- 64,752 | 1 1.47 1.47 66,061 | 1 1.47 2.94 72,341 | 1 1.47 4.41 90,951 | 1 1.47 5.88 101,287 | 1 1.47 7.35 105,670 | 1 1.47 8.82 113,499 | 1 1.47 10.29 121,708 | 1 1.47 11.76 125,188 | 1 1.47 13.24 128,429 | 1 1.47 14.71 140,145 | 1 1.47 16.18 145,753 | 1 1.47 17.65 147,096 | 1 1.47 19.12 149,547 | 1 1.47 20.59 162,079 | 1 1.47 22.06 164,649 | 1 1.47 23.53 176,425 | 1 1.47 25.00 177,741 | 1 1.47 26.47 183,049 | 1 1.47 27.94 188,888 | 1 1.47 29.41 192,493 | 1 1.47 30.88 200,898 | 1 1.47 32.35 205,080 | 1 1.47 33.82 211,054 | 1 1.47 35.29 211,175 | 1 1.47 36.76 219,245 | 1 1.47 38.24 229,666 | 1 1.47 39.71 230,406 | 1 1.47 41.18 236,464 | 1 1.47 42.65 245,607 | 1 1.47 44.12 273,081 | 1 1.47 45.59 289,693 | 1 1.47 47.06 323,607 | 1 1.47 48.53 330,791 | 1 1.47 50.00 377,161 | 1 1.47 51.47 385,849 | 1 1.47 52.94 387,353 | 1 1.47 54.41 390,519 | 1 1.47 55.88 411,961 | 1 1.47 57.35 448,348 | 1 1.47 58.82 476,173 | 1 1.47 60.29 506,510 | 1 1.47 61.76 561,386 | 1 1.47 63.24 565,125 | 1 1.47 64.71 573,263 | 1 1.47 66.18 585,519 | 1 1.47 67.65 632,464 | 1 1.47 69.12 691,093 | 1 1.47 70.59 696,700 | 1 1.47 72.06 723,105 | 1 1.47 73.53 760,289 | 1 1.47 75.00 783,489 | 1 1.47 76.47 792,839 | 1 1.47 77.94 828,953 | 1 1.47 79.41 937,236 | 1 1.47 80.88 977,529 | 1 1.47 82.35 1064479 | 1 1.47 83.82 1210882 | 1 1.47 85.29 1235247 | 1 1.47 86.76 1432483 | 1 1.47 88.24 1647004 | 1 1.47 89.71 1887746 | 1 1.47 91.18 2681634 | 1 1.47 92.65 2706791 | 1 1.47 94.12 4230813 | 1 1.47 95.59 4403877 | 1 1.47 97.06 9246075 | 1 1.47 98.53 5.13e+07 | 1 1.47 100.00 ------------+----------------------------------- Total | 68 100.00 Frequencies for a00600 variable in countyal2000 dataset : Ordinary | dividends | amount | 1040:9a / | 1040A:9a | Freq. Percent Cum. ------------+----------------------------------- 944 | 1 1.47 1.47 985 | 1 1.47 2.94 1,136 | 1 1.47 4.41 1,148 | 1 1.47 5.88 1,167 | 1 1.47 7.35 1,262 | 1 1.47 8.82 1,305 | 1 1.47 10.29 1,318 | 1 1.47 11.76 1,361 | 1 1.47 13.24 1,388 | 1 1.47 14.71 1,532 | 1 1.47 16.18 1,653 | 1 1.47 17.65 1,692 | 1 1.47 19.12 1,877 | 1 1.47 20.59 1,897 | 1 1.47 22.06 1,915 | 1 1.47 23.53 2,035 | 1 1.47 25.00 2,059 | 1 1.47 26.47 2,094 | 1 1.47 27.94 2,130 | 1 1.47 29.41 2,131 | 1 1.47 30.88 2,307 | 1 1.47 32.35 2,525 | 1 1.47 33.82 2,555 | 1 1.47 35.29 2,720 | 1 1.47 36.76 2,725 | 1 1.47 38.24 3,092 | 1 1.47 39.71 3,216 | 1 1.47 41.18 3,429 | 1 1.47 42.65 4,171 | 1 1.47 44.12 4,245 | 1 1.47 45.59 4,362 | 1 1.47 47.06 4,712 | 1 1.47 48.53 5,072 | 1 1.47 50.00 5,100 | 1 1.47 51.47 5,539 | 1 1.47 52.94 5,677 | 1 1.47 54.41 5,734 | 1 1.47 55.88 6,081 | 1 1.47 57.35 6,178 | 1 1.47 58.82 6,466 | 1 1.47 60.29 7,704 | 1 1.47 61.76 7,775 | 1 1.47 63.24 8,469 | 1 1.47 64.71 8,926 | 1 1.47 66.18 9,083 | 1 1.47 67.65 9,293 | 1 1.47 69.12 9,307 | 1 1.47 70.59 9,567 | 1 1.47 72.06 10,447 | 1 1.47 73.53 11,462 | 1 1.47 75.00 11,482 | 1 1.47 76.47 11,517 | 1 1.47 77.94 12,456 | 1 1.47 79.41 16,172 | 1 1.47 80.88 20,374 | 1 1.47 82.35 23,701 | 1 1.47 83.82 27,185 | 1 1.47 85.29 28,033 | 1 1.47 86.76 28,706 | 1 1.47 88.24 42,982 | 1 1.47 89.71 49,910 | 1 1.47 91.18 61,207 | 1 1.47 92.65 88,765 | 1 1.47 94.12 93,099 | 1 1.47 95.59 98,912 | 1 1.47 97.06 330,150 | 1 1.47 98.53 1155622 | 1 1.47 100.00 ------------+----------------------------------- Total | 68 100.00 Frequencies for interest variable in countyal2000 dataset : Interest -- | Includes | Taxable and | Non-taxable | Interest | Freq. Percent Cum. ------------+----------------------------------- 3,036 | 1 1.47 1.47 3,540 | 1 1.47 2.94 3,847 | 1 1.47 4.41 3,927 | 1 1.47 5.88 4,280 | 1 1.47 7.35 4,330 | 1 1.47 8.82 4,361 | 1 1.47 10.29 4,381 | 1 1.47 11.76 4,482 | 1 1.47 13.24 5,077 | 1 1.47 14.71 5,319 | 1 1.47 16.18 5,746 | 1 1.47 17.65 6,201 | 1 1.47 19.12 6,449 | 1 1.47 20.59 6,494 | 1 1.47 22.06 7,697 | 1 1.47 23.53 8,345 | 1 1.47 25.00 8,639 | 1 1.47 26.47 9,224 | 1 1.47 27.94 9,340 | 1 1.47 29.41 9,471 | 1 1.47 30.88 10,036 | 1 1.47 32.35 10,628 | 1 1.47 33.82 10,709 | 1 1.47 35.29 11,458 | 1 1.47 36.76 11,573 | 1 1.47 38.24 12,420 | 1 1.47 39.71 12,667 | 1 1.47 41.18 12,833 | 1 1.47 42.65 13,081 | 1 1.47 44.12 13,239 | 1 1.47 45.59 13,712 | 1 1.47 47.06 13,749 | 1 1.47 48.53 14,696 | 1 1.47 50.00 15,546 | 1 1.47 51.47 15,843 | 1 1.47 52.94 15,969 | 1 1.47 54.41 16,026 | 1 1.47 55.88 17,842 | 1 1.47 57.35 18,258 | 1 1.47 58.82 19,264 | 1 1.47 60.29 19,487 | 1 1.47 61.76 20,703 | 1 1.47 63.24 22,703 | 1 1.47 64.71 23,964 | 1 1.47 66.18 24,758 | 1 1.47 67.65 25,307 | 1 1.47 69.12 26,091 | 1 1.47 70.59 27,127 | 1 1.47 72.06 27,538 | 1 1.47 73.53 31,145 | 1 1.47 75.00 31,677 | 1 1.47 76.47 39,607 | 1 1.47 77.94 40,702 | 1 1.47 79.41 47,806 | 1 1.47 80.88 49,964 | 1 1.47 82.35 55,811 | 1 1.47 83.82 59,078 | 1 1.47 85.29 59,593 | 1 1.47 86.76 59,923 | 1 1.47 88.24 92,912 | 1 1.47 89.71 95,188 | 1 1.47 91.18 108,836 | 1 1.47 92.65 179,972 | 1 1.47 94.12 192,112 | 1 1.47 95.59 208,058 | 1 1.47 97.06 518,778 | 1 1.47 98.53 2492574 | 1 1.47 100.00 ------------+----------------------------------- Total | 68 100.00 by Jean Roth , jroth@nber.org , 23 Jun 2017