Frequencies for countyid1995 dataset : by Jean Roth , jroth@nber.org , 23 Jun 2017 Frequencies for fipscounty variable in countyid1995 dataset : FIPS County | Code | Freq. Percent Cum. ------------+----------------------------------- 16000 | 1 2.22 2.22 16001 | 1 2.22 4.44 16003 | 1 2.22 6.67 16005 | 1 2.22 8.89 16007 | 1 2.22 11.11 16009 | 1 2.22 13.33 16011 | 1 2.22 15.56 16013 | 1 2.22 17.78 16015 | 1 2.22 20.00 16017 | 1 2.22 22.22 16019 | 1 2.22 24.44 16021 | 1 2.22 26.67 16023 | 1 2.22 28.89 16025 | 1 2.22 31.11 16027 | 1 2.22 33.33 16029 | 1 2.22 35.56 16031 | 1 2.22 37.78 16033 | 1 2.22 40.00 16035 | 1 2.22 42.22 16037 | 1 2.22 44.44 16039 | 1 2.22 46.67 16041 | 1 2.22 48.89 16043 | 1 2.22 51.11 16045 | 1 2.22 53.33 16047 | 1 2.22 55.56 16049 | 1 2.22 57.78 16051 | 1 2.22 60.00 16053 | 1 2.22 62.22 16055 | 1 2.22 64.44 16057 | 1 2.22 66.67 16059 | 1 2.22 68.89 16061 | 1 2.22 71.11 16063 | 1 2.22 73.33 16065 | 1 2.22 75.56 16067 | 1 2.22 77.78 16069 | 1 2.22 80.00 16071 | 1 2.22 82.22 16073 | 1 2.22 84.44 16075 | 1 2.22 86.67 16077 | 1 2.22 88.89 16079 | 1 2.22 91.11 16081 | 1 2.22 93.33 16083 | 1 2.22 95.56 16085 | 1 2.22 97.78 16087 | 1 2.22 100.00 ------------+----------------------------------- Total | 45 100.00 Frequencies for statefips variable in countyid1995 dataset : The State | Federal | Information | Processing | System | (FIPS) code | Freq. Percent Cum. ------------+----------------------------------- 16 | 45 100.00 100.00 ------------+----------------------------------- Total | 45 100.00 Frequencies for countyfips variable in countyid1995 dataset : 3-digit | County FIPS | code | Freq. Percent Cum. ------------+----------------------------------- 000 | 1 2.22 2.22 001 | 1 2.22 4.44 003 | 1 2.22 6.67 005 | 1 2.22 8.89 007 | 1 2.22 11.11 009 | 1 2.22 13.33 011 | 1 2.22 15.56 013 | 1 2.22 17.78 015 | 1 2.22 20.00 017 | 1 2.22 22.22 019 | 1 2.22 24.44 021 | 1 2.22 26.67 023 | 1 2.22 28.89 025 | 1 2.22 31.11 027 | 1 2.22 33.33 029 | 1 2.22 35.56 031 | 1 2.22 37.78 033 | 1 2.22 40.00 035 | 1 2.22 42.22 037 | 1 2.22 44.44 039 | 1 2.22 46.67 041 | 1 2.22 48.89 043 | 1 2.22 51.11 045 | 1 2.22 53.33 047 | 1 2.22 55.56 049 | 1 2.22 57.78 051 | 1 2.22 60.00 053 | 1 2.22 62.22 055 | 1 2.22 64.44 057 | 1 2.22 66.67 059 | 1 2.22 68.89 061 | 1 2.22 71.11 063 | 1 2.22 73.33 065 | 1 2.22 75.56 067 | 1 2.22 77.78 069 | 1 2.22 80.00 071 | 1 2.22 82.22 073 | 1 2.22 84.44 075 | 1 2.22 86.67 077 | 1 2.22 88.89 079 | 1 2.22 91.11 081 | 1 2.22 93.33 083 | 1 2.22 95.56 085 | 1 2.22 97.78 087 | 1 2.22 100.00 ------------+----------------------------------- Total | 45 100.00 Frequencies for countyname variable in countyid1995 dataset : County Name | Freq. Percent Cum. ------------+----------------------------------- ADA | 1 2.22 2.22 ADAMS | 1 2.22 4.44 BANNOCK | 1 2.22 6.67 BEAR LAKE | 1 2.22 8.89 BENEWAH | 1 2.22 11.11 BINGHAM | 1 2.22 13.33 BLAINE | 1 2.22 15.56 BOISE | 1 2.22 17.78 BONNER | 1 2.22 20.00 BONNEVILLE | 1 2.22 22.22 BOUNDARY | 1 2.22 24.44 BUTTE | 1 2.22 26.67 CAMAS | 1 2.22 28.89 CANYON | 1 2.22 31.11 CARIBOU | 1 2.22 33.33 CASSIA | 1 2.22 35.56 CLARK | 1 2.22 37.78 CLEARWATER | 1 2.22 40.00 CUSTER | 1 2.22 42.22 ELMORE | 1 2.22 44.44 FRANKLIN | 1 2.22 46.67 FREMONT | 1 2.22 48.89 GEM | 1 2.22 51.11 GOODING | 1 2.22 53.33 IDAHO | 1 2.22 55.56 JEFFERSON | 1 2.22 57.78 JEROME | 1 2.22 60.00 KOOTENAI | 1 2.22 62.22 LATAH | 1 2.22 64.44 LEMHI | 1 2.22 66.67 LEWIS | 1 2.22 68.89 LINCOLN | 1 2.22 71.11 MADISON | 1 2.22 73.33 MINIDOKA | 1 2.22 75.56 NEZ PERCE | 1 2.22 77.78 ONEIDA | 1 2.22 80.00 OWYHEE | 1 2.22 82.22 PAYETTE | 1 2.22 84.44 POWER | 1 2.22 86.67 SHOSHONE | 1 2.22 88.89 TETON | 1 2.22 91.11 TOTAL | 1 2.22 93.33 TWIN FALLS | 1 2.22 95.56 VALLEY | 1 2.22 97.78 WASHINGTON | 1 2.22 100.00 ------------+----------------------------------- Total | 45 100.00 Frequencies for n1 variable in countyid1995 dataset : Number of | returns | Freq. Percent Cum. ------------+----------------------------------- 299 | 1 2.22 2.22 354 | 1 2.22 4.44 983 | 1 2.22 6.67 1,193 | 1 2.22 8.89 1,242 | 1 2.22 11.11 1,341 | 1 2.22 13.33 1,441 | 1 2.22 15.56 1,466 | 1 2.22 17.78 1,637 | 1 2.22 20.00 1,823 | 1 2.22 22.22 2,002 | 1 2.22 24.44 2,319 | 1 2.22 26.67 2,362 | 1 2.22 28.89 2,976 | 1 2.22 31.11 3,078 | 1 2.22 33.33 3,170 | 1 2.22 35.56 3,235 | 1 2.22 37.78 3,249 | 1 2.22 40.00 3,301 | 1 2.22 42.22 3,348 | 1 2.22 44.44 3,372 | 1 2.22 46.67 3,970 | 1 2.22 48.89 4,651 | 1 2.22 51.11 4,969 | 1 2.22 53.33 5,024 | 1 2.22 55.56 5,205 | 1 2.22 57.78 5,237 | 1 2.22 60.00 5,704 | 1 2.22 62.22 5,972 | 1 2.22 64.44 6,151 | 1 2.22 66.67 6,548 | 1 2.22 68.89 7,519 | 1 2.22 71.11 8,049 | 1 2.22 73.33 8,740 | 1 2.22 75.56 11,957 | 1 2.22 77.78 12,283 | 1 2.22 80.00 13,722 | 1 2.22 82.22 14,091 | 1 2.22 84.44 22,348 | 1 2.22 86.67 25,349 | 1 2.22 88.89 26,490 | 1 2.22 91.11 35,779 | 1 2.22 93.33 38,194 | 1 2.22 95.56 103,928 | 1 2.22 97.78 426,071 | 1 2.22 100.00 ------------+----------------------------------- Total | 45 100.00 Frequencies for n2 variable in countyid1995 dataset : Number of | exemptions | 1040:6d | Freq. Percent Cum. ------------+----------------------------------- 817 | 1 2.22 2.22 847 | 1 2.22 4.44 2,668 | 1 2.22 6.67 3,209 | 1 2.22 8.89 3,241 | 1 2.22 11.11 3,358 | 1 2.22 13.33 3,407 | 1 2.22 15.56 3,597 | 1 2.22 17.78 3,919 | 1 2.22 20.00 4,680 | 1 2.22 22.22 5,832 | 1 2.22 24.44 6,448 | 1 2.22 26.67 6,741 | 1 2.22 28.89 6,910 | 1 2.22 31.11 7,420 | 1 2.22 33.33 7,849 | 1 2.22 35.56 7,937 | 1 2.22 37.78 8,125 | 1 2.22 40.00 8,157 | 1 2.22 42.22 8,228 | 1 2.22 44.44 9,629 | 1 2.22 46.67 11,095 | 1 2.22 48.89 11,216 | 1 2.22 51.11 11,787 | 1 2.22 53.33 12,343 | 1 2.22 55.56 12,466 | 1 2.22 57.78 15,031 | 1 2.22 60.00 15,606 | 1 2.22 62.22 16,366 | 1 2.22 64.44 16,443 | 1 2.22 66.67 17,008 | 1 2.22 68.89 17,542 | 1 2.22 71.11 21,872 | 1 2.22 73.33 22,764 | 1 2.22 75.56 26,704 | 1 2.22 77.78 27,822 | 1 2.22 80.00 30,874 | 1 2.22 82.22 39,539 | 1 2.22 84.44 53,487 | 1 2.22 86.67 62,436 | 1 2.22 88.89 70,890 | 1 2.22 91.11 81,539 | 1 2.22 93.33 94,688 | 1 2.22 95.56 233,071 | 1 2.22 97.78 1035608 | 1 2.22 100.00 ------------+----------------------------------- Total | 45 100.00 Frequencies for a00100 variable in countyid1995 dataset : Adjusted | gross | income | (AGI) | 1040:37 / | 1040A:21 / | 1040EZ:4 | Freq. Percent Cum. ------------+----------------------------------- 6,996 | 1 2.22 2.22 9,312 | 1 2.22 4.44 26,874 | 1 2.22 6.67 27,021 | 1 2.22 8.89 34,319 | 1 2.22 11.11 35,658 | 1 2.22 13.33 42,355 | 1 2.22 15.56 48,008 | 1 2.22 17.78 48,881 | 1 2.22 20.00 49,182 | 1 2.22 22.22 55,957 | 1 2.22 24.44 66,742 | 1 2.22 26.67 68,169 | 1 2.22 28.89 78,114 | 1 2.22 31.11 79,405 | 1 2.22 33.33 79,490 | 1 2.22 35.56 81,712 | 1 2.22 37.78 87,086 | 1 2.22 40.00 96,756 | 1 2.22 42.22 97,364 | 1 2.22 44.44 98,832 | 1 2.22 46.67 102,799 | 1 2.22 48.89 104,045 | 1 2.22 51.11 123,854 | 1 2.22 53.33 133,626 | 1 2.22 55.56 138,677 | 1 2.22 57.78 156,817 | 1 2.22 60.00 159,830 | 1 2.22 62.22 163,608 | 1 2.22 64.44 164,344 | 1 2.22 66.67 173,815 | 1 2.22 68.89 230,705 | 1 2.22 71.11 239,217 | 1 2.22 73.33 339,669 | 1 2.22 75.56 352,386 | 1 2.22 77.78 391,989 | 1 2.22 80.00 422,516 | 1 2.22 82.22 469,472 | 1 2.22 84.44 677,688 | 1 2.22 86.67 838,965 | 1 2.22 88.89 1042839 | 1 2.22 91.11 1147447 | 1 2.22 93.33 1198325 | 1 2.22 95.56 4519809 | 1 2.22 97.78 1.45e+07 | 1 2.22 100.00 ------------+----------------------------------- Total | 45 100.00 Frequencies for a00200 variable in countyid1995 dataset : Salaries | and wages | amount | 1040:7 / | 1040A:7 / | 1040EZ:1 | Freq. Percent Cum. ------------+----------------------------------- 5,929 | 1 2.22 2.22 6,156 | 1 2.22 4.44 22,013 | 1 2.22 6.67 22,228 | 1 2.22 8.89 22,483 | 1 2.22 11.11 23,848 | 1 2.22 13.33 25,540 | 1 2.22 15.56 30,668 | 1 2.22 17.78 34,287 | 1 2.22 20.00 37,974 | 1 2.22 22.22 44,198 | 1 2.22 24.44 49,683 | 1 2.22 26.67 51,929 | 1 2.22 28.89 52,616 | 1 2.22 31.11 54,579 | 1 2.22 33.33 56,337 | 1 2.22 35.56 63,333 | 1 2.22 37.78 64,184 | 1 2.22 40.00 64,749 | 1 2.22 42.22 71,170 | 1 2.22 44.44 72,399 | 1 2.22 46.67 73,290 | 1 2.22 48.89 80,127 | 1 2.22 51.11 87,308 | 1 2.22 53.33 92,124 | 1 2.22 55.56 103,517 | 1 2.22 57.78 118,583 | 1 2.22 60.00 119,532 | 1 2.22 62.22 124,143 | 1 2.22 64.44 131,196 | 1 2.22 66.67 136,116 | 1 2.22 68.89 166,195 | 1 2.22 71.11 186,076 | 1 2.22 73.33 190,485 | 1 2.22 75.56 221,876 | 1 2.22 77.78 284,824 | 1 2.22 80.00 333,372 | 1 2.22 82.22 342,980 | 1 2.22 84.44 484,280 | 1 2.22 86.67 668,476 | 1 2.22 88.89 809,692 | 1 2.22 91.11 841,172 | 1 2.22 93.33 882,574 | 1 2.22 95.56 3402443 | 1 2.22 97.78 1.08e+07 | 1 2.22 100.00 ------------+----------------------------------- Total | 45 100.00 Frequencies for a00600 variable in countyid1995 dataset : Ordinary | dividends | amount | 1040:9a / | 1040A:9a | Freq. Percent Cum. ------------+----------------------------------- 104 | 1 2.22 2.22 208 | 1 2.22 4.44 224 | 1 2.22 6.67 364 | 1 2.22 8.89 423 | 1 2.22 11.11 482 | 1 2.22 13.33 501 | 1 2.22 15.56 564 | 1 2.22 17.78 776 | 1 2.22 20.00 894 | 1 2.22 22.22 945 | 1 2.22 24.44 1,006 | 1 2.22 26.67 1,034 | 1 2.22 28.89 1,069 | 1 2.22 31.11 1,135 | 1 2.22 33.33 1,306 | 1 2.22 35.56 1,315 | 1 2.22 37.78 1,403 | 1 2.22 40.00 1,445 | 1 2.22 42.22 1,465 | 1 2.22 44.44 1,567 | 1 2.22 46.67 1,587 | 1 2.22 48.89 1,685 | 1 2.22 51.11 1,725 | 1 2.22 53.33 1,744 | 1 2.22 55.56 1,885 | 1 2.22 57.78 1,888 | 1 2.22 60.00 2,285 | 1 2.22 62.22 2,545 | 1 2.22 64.44 2,990 | 1 2.22 66.67 3,016 | 1 2.22 68.89 3,158 | 1 2.22 71.11 3,172 | 1 2.22 73.33 4,065 | 1 2.22 75.56 7,566 | 1 2.22 77.78 8,118 | 1 2.22 80.00 8,239 | 1 2.22 82.22 11,480 | 1 2.22 84.44 12,235 | 1 2.22 86.67 12,259 | 1 2.22 88.89 15,842 | 1 2.22 91.11 21,879 | 1 2.22 93.33 25,061 | 1 2.22 95.56 111,121 | 1 2.22 97.78 283,776 | 1 2.22 100.00 ------------+----------------------------------- Total | 45 100.00 Frequencies for interest variable in countyid1995 dataset : Interest -- | Includes | Taxable and | Non-taxable | Interest | Freq. Percent Cum. ------------+----------------------------------- 363 | 1 2.22 2.22 632 | 1 2.22 4.44 1,249 | 1 2.22 6.67 1,640 | 1 2.22 8.89 1,875 | 1 2.22 11.11 1,968 | 1 2.22 13.33 2,757 | 1 2.22 15.56 2,771 | 1 2.22 17.78 2,775 | 1 2.22 20.00 3,010 | 1 2.22 22.22 3,206 | 1 2.22 24.44 3,445 | 1 2.22 26.67 3,477 | 1 2.22 28.89 4,358 | 1 2.22 31.11 4,611 | 1 2.22 33.33 4,741 | 1 2.22 35.56 5,218 | 1 2.22 37.78 5,449 | 1 2.22 40.00 5,586 | 1 2.22 42.22 6,089 | 1 2.22 44.44 6,316 | 1 2.22 46.67 6,481 | 1 2.22 48.89 6,634 | 1 2.22 51.11 6,708 | 1 2.22 53.33 7,354 | 1 2.22 55.56 7,780 | 1 2.22 57.78 7,901 | 1 2.22 60.00 8,017 | 1 2.22 62.22 8,500 | 1 2.22 64.44 8,593 | 1 2.22 66.67 9,482 | 1 2.22 68.89 11,812 | 1 2.22 71.11 13,023 | 1 2.22 73.33 15,697 | 1 2.22 75.56 22,203 | 1 2.22 77.78 23,829 | 1 2.22 80.00 27,646 | 1 2.22 82.22 29,557 | 1 2.22 84.44 30,190 | 1 2.22 86.67 40,523 | 1 2.22 88.89 42,927 | 1 2.22 91.11 52,724 | 1 2.22 93.33 64,731 | 1 2.22 95.56 194,192 | 1 2.22 97.78 718,040 | 1 2.22 100.00 ------------+----------------------------------- Total | 45 100.00 by Jean Roth , jroth@nber.org , 23 Jun 2017