Frequencies for countyne1992 dataset : by Jean Roth , jroth@nber.org , 23 Jun 2017 Frequencies for fipscounty variable in countyne1992 dataset : FIPS County | Code | Freq. Percent Cum. ------------+----------------------------------- 31000 | 1 1.06 1.06 31001 | 1 1.06 2.13 31003 | 1 1.06 3.19 31005 | 1 1.06 4.26 31007 | 1 1.06 5.32 31009 | 1 1.06 6.38 31011 | 1 1.06 7.45 31013 | 1 1.06 8.51 31015 | 1 1.06 9.57 31017 | 1 1.06 10.64 31019 | 1 1.06 11.70 31021 | 1 1.06 12.77 31023 | 1 1.06 13.83 31025 | 1 1.06 14.89 31027 | 1 1.06 15.96 31029 | 1 1.06 17.02 31031 | 1 1.06 18.09 31033 | 1 1.06 19.15 31035 | 1 1.06 20.21 31037 | 1 1.06 21.28 31039 | 1 1.06 22.34 31041 | 1 1.06 23.40 31043 | 1 1.06 24.47 31045 | 1 1.06 25.53 31047 | 1 1.06 26.60 31049 | 1 1.06 27.66 31051 | 1 1.06 28.72 31053 | 1 1.06 29.79 31055 | 1 1.06 30.85 31057 | 1 1.06 31.91 31059 | 1 1.06 32.98 31061 | 1 1.06 34.04 31063 | 1 1.06 35.11 31065 | 1 1.06 36.17 31067 | 1 1.06 37.23 31069 | 1 1.06 38.30 31071 | 1 1.06 39.36 31073 | 1 1.06 40.43 31075 | 1 1.06 41.49 31077 | 1 1.06 42.55 31079 | 1 1.06 43.62 31081 | 1 1.06 44.68 31083 | 1 1.06 45.74 31085 | 1 1.06 46.81 31087 | 1 1.06 47.87 31089 | 1 1.06 48.94 31091 | 1 1.06 50.00 31093 | 1 1.06 51.06 31095 | 1 1.06 52.13 31097 | 1 1.06 53.19 31099 | 1 1.06 54.26 31101 | 1 1.06 55.32 31103 | 1 1.06 56.38 31105 | 1 1.06 57.45 31107 | 1 1.06 58.51 31109 | 1 1.06 59.57 31111 | 1 1.06 60.64 31113 | 1 1.06 61.70 31115 | 1 1.06 62.77 31117 | 1 1.06 63.83 31119 | 1 1.06 64.89 31121 | 1 1.06 65.96 31123 | 1 1.06 67.02 31125 | 1 1.06 68.09 31127 | 1 1.06 69.15 31129 | 1 1.06 70.21 31131 | 1 1.06 71.28 31133 | 1 1.06 72.34 31135 | 1 1.06 73.40 31137 | 1 1.06 74.47 31139 | 1 1.06 75.53 31141 | 1 1.06 76.60 31143 | 1 1.06 77.66 31145 | 1 1.06 78.72 31147 | 1 1.06 79.79 31149 | 1 1.06 80.85 31151 | 1 1.06 81.91 31153 | 1 1.06 82.98 31155 | 1 1.06 84.04 31157 | 1 1.06 85.11 31159 | 1 1.06 86.17 31161 | 1 1.06 87.23 31163 | 1 1.06 88.30 31165 | 1 1.06 89.36 31167 | 1 1.06 90.43 31169 | 1 1.06 91.49 31171 | 1 1.06 92.55 31173 | 1 1.06 93.62 31175 | 1 1.06 94.68 31177 | 1 1.06 95.74 31179 | 1 1.06 96.81 31181 | 1 1.06 97.87 31183 | 1 1.06 98.94 31185 | 1 1.06 100.00 ------------+----------------------------------- Total | 94 100.00 Frequencies for statefips variable in countyne1992 dataset : The State | Federal | Information | Processing | System | (FIPS) code | Freq. Percent Cum. ------------+----------------------------------- 31 | 94 100.00 100.00 ------------+----------------------------------- Total | 94 100.00 Frequencies for countyfips variable in countyne1992 dataset : 3-digit | County FIPS | code | Freq. Percent Cum. ------------+----------------------------------- 000 | 1 1.06 1.06 001 | 1 1.06 2.13 003 | 1 1.06 3.19 005 | 1 1.06 4.26 007 | 1 1.06 5.32 009 | 1 1.06 6.38 011 | 1 1.06 7.45 013 | 1 1.06 8.51 015 | 1 1.06 9.57 017 | 1 1.06 10.64 019 | 1 1.06 11.70 021 | 1 1.06 12.77 023 | 1 1.06 13.83 025 | 1 1.06 14.89 027 | 1 1.06 15.96 029 | 1 1.06 17.02 031 | 1 1.06 18.09 033 | 1 1.06 19.15 035 | 1 1.06 20.21 037 | 1 1.06 21.28 039 | 1 1.06 22.34 041 | 1 1.06 23.40 043 | 1 1.06 24.47 045 | 1 1.06 25.53 047 | 1 1.06 26.60 049 | 1 1.06 27.66 051 | 1 1.06 28.72 053 | 1 1.06 29.79 055 | 1 1.06 30.85 057 | 1 1.06 31.91 059 | 1 1.06 32.98 061 | 1 1.06 34.04 063 | 1 1.06 35.11 065 | 1 1.06 36.17 067 | 1 1.06 37.23 069 | 1 1.06 38.30 071 | 1 1.06 39.36 073 | 1 1.06 40.43 075 | 1 1.06 41.49 077 | 1 1.06 42.55 079 | 1 1.06 43.62 081 | 1 1.06 44.68 083 | 1 1.06 45.74 085 | 1 1.06 46.81 087 | 1 1.06 47.87 089 | 1 1.06 48.94 091 | 1 1.06 50.00 093 | 1 1.06 51.06 095 | 1 1.06 52.13 097 | 1 1.06 53.19 099 | 1 1.06 54.26 101 | 1 1.06 55.32 103 | 1 1.06 56.38 105 | 1 1.06 57.45 107 | 1 1.06 58.51 109 | 1 1.06 59.57 111 | 1 1.06 60.64 113 | 1 1.06 61.70 115 | 1 1.06 62.77 117 | 1 1.06 63.83 119 | 1 1.06 64.89 121 | 1 1.06 65.96 123 | 1 1.06 67.02 125 | 1 1.06 68.09 127 | 1 1.06 69.15 129 | 1 1.06 70.21 131 | 1 1.06 71.28 133 | 1 1.06 72.34 135 | 1 1.06 73.40 137 | 1 1.06 74.47 139 | 1 1.06 75.53 141 | 1 1.06 76.60 143 | 1 1.06 77.66 145 | 1 1.06 78.72 147 | 1 1.06 79.79 149 | 1 1.06 80.85 151 | 1 1.06 81.91 153 | 1 1.06 82.98 155 | 1 1.06 84.04 157 | 1 1.06 85.11 159 | 1 1.06 86.17 161 | 1 1.06 87.23 163 | 1 1.06 88.30 165 | 1 1.06 89.36 167 | 1 1.06 90.43 169 | 1 1.06 91.49 171 | 1 1.06 92.55 173 | 1 1.06 93.62 175 | 1 1.06 94.68 177 | 1 1.06 95.74 179 | 1 1.06 96.81 181 | 1 1.06 97.87 183 | 1 1.06 98.94 185 | 1 1.06 100.00 ------------+----------------------------------- Total | 94 100.00 Frequencies for countyname variable in countyne1992 dataset : County Name | Freq. Percent Cum. -------------+----------------------------------- ADAMS | 1 1.06 1.06 ANTELOPE | 1 1.06 2.13 ARTHUR | 1 1.06 3.19 BANNER | 1 1.06 4.26 BLAINE | 1 1.06 5.32 BOONE | 1 1.06 6.38 BOX BUTTE | 1 1.06 7.45 BOYD | 1 1.06 8.51 BROWN | 1 1.06 9.57 BUFFALO | 1 1.06 10.64 BURT | 1 1.06 11.70 BUTLER | 1 1.06 12.77 CASS | 1 1.06 13.83 CEDAR | 1 1.06 14.89 CHASE | 1 1.06 15.96 CHERRY | 1 1.06 17.02 CHEYENNE | 1 1.06 18.09 CLAY | 1 1.06 19.15 COLFAX | 1 1.06 20.21 CUMING | 1 1.06 21.28 CUSTER | 1 1.06 22.34 DAKOTA | 1 1.06 23.40 DAWES | 1 1.06 24.47 DAWSON | 1 1.06 25.53 DEUEL | 1 1.06 26.60 DIXON | 1 1.06 27.66 DODGE | 1 1.06 28.72 DOUGLAS | 1 1.06 29.79 DUNDY | 1 1.06 30.85 FILLMORE | 1 1.06 31.91 FRANKLIN | 1 1.06 32.98 FRONTIER | 1 1.06 34.04 FURNAS | 1 1.06 35.11 GAGE | 1 1.06 36.17 GARDEN | 1 1.06 37.23 GARFIELD | 1 1.06 38.30 GOSPER | 1 1.06 39.36 GRANT | 1 1.06 40.43 GREELEY | 1 1.06 41.49 HALL | 1 1.06 42.55 HAMILTON | 1 1.06 43.62 HARLAN | 1 1.06 44.68 HAYES | 1 1.06 45.74 HITCHCOCK | 1 1.06 46.81 HOLT | 1 1.06 47.87 HOOKER | 1 1.06 48.94 HOWARD | 1 1.06 50.00 JEFFERSON | 1 1.06 51.06 JOHNSON | 1 1.06 52.13 KEARNEY | 1 1.06 53.19 KEITH | 1 1.06 54.26 KEYA PAHA | 1 1.06 55.32 KIMBALL | 1 1.06 56.38 KNOX | 1 1.06 57.45 LANCASTER | 1 1.06 58.51 LINCOLN | 1 1.06 59.57 LOGAN | 1 1.06 60.64 LOUP | 1 1.06 61.70 MADISON | 1 1.06 62.77 MCPHERSON | 1 1.06 63.83 MERRICK | 1 1.06 64.89 MORRILL | 1 1.06 65.96 NANCE | 1 1.06 67.02 NEMAHA | 1 1.06 68.09 NUCKOLLS | 1 1.06 69.15 OTOE | 1 1.06 70.21 PAWNEE | 1 1.06 71.28 PERKINS | 1 1.06 72.34 PHELPS | 1 1.06 73.40 PIERCE | 1 1.06 74.47 PLATTE | 1 1.06 75.53 POLK | 1 1.06 76.60 RED WILLOW | 1 1.06 77.66 RICHARDSON | 1 1.06 78.72 ROCK | 1 1.06 79.79 SALINE | 1 1.06 80.85 SARPY | 1 1.06 81.91 SAUNDERS | 1 1.06 82.98 SCOTTS BLUFF | 1 1.06 84.04 SEWARD | 1 1.06 85.11 SHERIDAN | 1 1.06 86.17 SHERMAN | 1 1.06 87.23 SIOUX | 1 1.06 88.30 STANTON | 1 1.06 89.36 THAYER | 1 1.06 90.43 THOMAS | 1 1.06 91.49 THURSTON | 1 1.06 92.55 TOTAL | 1 1.06 93.62 VALLEY | 1 1.06 94.68 WASHINGTON | 1 1.06 95.74 WAYNE | 1 1.06 96.81 WEBSTER | 1 1.06 97.87 WHEELER | 1 1.06 98.94 YORK | 1 1.06 100.00 -------------+----------------------------------- Total | 94 100.00 Frequencies for n1 variable in countyne1992 dataset : Number of | returns | Freq. Percent Cum. ------------+----------------------------------- 159 | 1 1.06 1.06 161 | 1 1.06 2.13 219 | 1 1.06 3.19 240 | 1 1.06 4.26 266 | 1 1.06 5.32 344 | 1 1.06 6.38 345 | 1 1.06 7.45 352 | 1 1.06 8.51 358 | 1 1.06 9.57 359 | 1 1.06 10.64 377 | 1 1.06 11.70 381 | 1 1.06 12.77 399 | 1 1.06 13.83 768 | 1 1.06 14.89 783 | 1 1.06 15.96 837 | 1 1.06 17.02 902 | 1 1.06 18.09 946 | 1 1.06 19.15 967 | 1 1.06 20.21 1,079 | 1 1.06 21.28 1,089 | 1 1.06 22.34 1,110 | 1 1.06 23.40 1,189 | 1 1.06 24.47 1,298 | 1 1.06 25.53 1,307 | 1 1.06 26.60 1,395 | 1 1.06 27.66 1,426 | 1 1.06 28.72 1,475 | 1 1.06 29.79 1,553 | 1 1.06 30.85 1,570 | 1 1.06 31.91 1,599 | 1 1.06 32.98 1,617 | 1 1.06 34.04 1,680 | 1 1.06 35.11 1,802 | 1 1.06 36.17 1,855 | 1 1.06 37.23 1,993 | 1 1.06 38.30 1,997 | 1 1.06 39.36 2,200 | 1 1.06 40.43 2,223 | 1 1.06 41.49 2,269 | 1 1.06 42.55 2,354 | 1 1.06 43.62 2,356 | 1 1.06 44.68 2,393 | 1 1.06 45.74 2,464 | 1 1.06 46.81 2,478 | 1 1.06 47.87 2,525 | 1 1.06 48.94 2,612 | 1 1.06 50.00 2,723 | 1 1.06 51.06 2,737 | 1 1.06 52.13 2,745 | 1 1.06 53.19 2,800 | 1 1.06 54.26 2,830 | 1 1.06 55.32 2,899 | 1 1.06 56.38 3,103 | 1 1.06 57.45 3,147 | 1 1.06 58.51 3,156 | 1 1.06 59.57 3,224 | 1 1.06 60.64 3,302 | 1 1.06 61.70 3,347 | 1 1.06 62.77 3,354 | 1 1.06 63.83 3,506 | 1 1.06 64.89 3,647 | 1 1.06 65.96 3,687 | 1 1.06 67.02 3,743 | 1 1.06 68.09 3,825 | 1 1.06 69.15 3,895 | 1 1.06 70.21 3,904 | 1 1.06 71.28 4,020 | 1 1.06 72.34 4,423 | 1 1.06 73.40 4,480 | 1 1.06 74.47 4,753 | 1 1.06 75.53 4,827 | 1 1.06 76.60 4,989 | 1 1.06 77.66 5,561 | 1 1.06 78.72 5,626 | 1 1.06 79.79 5,673 | 1 1.06 80.85 5,794 | 1 1.06 81.91 6,943 | 1 1.06 82.98 7,203 | 1 1.06 84.04 8,454 | 1 1.06 85.11 8,526 | 1 1.06 86.17 8,757 | 1 1.06 87.23 11,483 | 1 1.06 88.30 11,810 | 1 1.06 89.36 12,764 | 1 1.06 90.43 13,205 | 1 1.06 91.49 13,681 | 1 1.06 92.55 13,688 | 1 1.06 93.62 14,112 | 1 1.06 94.68 19,759 | 1 1.06 95.74 38,582 | 1 1.06 96.81 89,725 | 1 1.06 97.87 178,083 | 1 1.06 98.94 632,566 | 1 1.06 100.00 ------------+----------------------------------- Total | 94 100.00 Frequencies for n2 variable in countyne1992 dataset : Number of | exemptions | 1040:6d | Freq. Percent Cum. ------------+----------------------------------- 374 | 1 1.06 1.06 404 | 1 1.06 2.13 575 | 1 1.06 3.19 584 | 1 1.06 4.26 673 | 1 1.06 5.32 842 | 1 1.06 6.38 869 | 1 1.06 7.45 871 | 1 1.06 8.51 876 | 1 1.06 9.57 905 | 1 1.06 10.64 931 | 1 1.06 11.70 938 | 1 1.06 12.77 944 | 1 1.06 13.83 1,780 | 1 1.06 14.89 1,849 | 1 1.06 15.96 1,981 | 1 1.06 17.02 2,063 | 1 1.06 18.09 2,135 | 1 1.06 19.15 2,254 | 1 1.06 20.21 2,544 | 1 1.06 21.28 2,700 | 1 1.06 22.34 2,707 | 1 1.06 23.40 2,910 | 1 1.06 24.47 3,001 | 1 1.06 25.53 3,132 | 1 1.06 26.60 3,222 | 1 1.06 27.66 3,321 | 1 1.06 28.72 3,438 | 1 1.06 29.79 3,548 | 1 1.06 30.85 3,775 | 1 1.06 31.91 3,857 | 1 1.06 32.98 3,875 | 1 1.06 34.04 3,884 | 1 1.06 35.11 4,166 | 1 1.06 36.17 4,357 | 1 1.06 37.23 4,837 | 1 1.06 38.30 5,041 | 1 1.06 39.36 5,210 | 1 1.06 40.43 5,289 | 1 1.06 41.49 5,332 | 1 1.06 42.55 5,610 | 1 1.06 43.62 5,763 | 1 1.06 44.68 5,953 | 1 1.06 45.74 6,011 | 1 1.06 46.81 6,078 | 1 1.06 47.87 6,150 | 1 1.06 48.94 6,239 | 1 1.06 50.00 6,308 | 1 1.06 51.06 6,375 | 1 1.06 52.13 6,474 | 1 1.06 53.19 6,746 | 1 1.06 54.26 7,007 | 1 1.06 55.32 7,111 | 1 1.06 56.38 7,380 | 1 1.06 57.45 7,399 | 1 1.06 58.51 7,457 | 1 1.06 59.57 7,717 | 1 1.06 60.64 7,749 | 1 1.06 61.70 7,778 | 1 1.06 62.77 8,064 | 1 1.06 63.83 8,502 | 1 1.06 64.89 8,683 | 1 1.06 65.96 8,764 | 1 1.06 67.02 8,984 | 1 1.06 68.09 9,202 | 1 1.06 69.15 9,450 | 1 1.06 70.21 9,505 | 1 1.06 71.28 9,615 | 1 1.06 72.34 10,433 | 1 1.06 73.40 11,122 | 1 1.06 74.47 11,399 | 1 1.06 75.53 11,512 | 1 1.06 76.60 12,175 | 1 1.06 77.66 12,979 | 1 1.06 78.72 13,234 | 1 1.06 79.79 13,627 | 1 1.06 80.85 13,884 | 1 1.06 81.91 17,063 | 1 1.06 82.98 17,291 | 1 1.06 84.04 19,406 | 1 1.06 85.11 20,141 | 1 1.06 86.17 21,655 | 1 1.06 87.23 25,937 | 1 1.06 88.30 29,050 | 1 1.06 89.36 30,198 | 1 1.06 90.43 31,411 | 1 1.06 91.49 31,968 | 1 1.06 92.55 32,127 | 1 1.06 93.62 32,382 | 1 1.06 94.68 46,308 | 1 1.06 95.74 95,884 | 1 1.06 96.81 190,780 | 1 1.06 97.87 383,707 | 1 1.06 98.94 1445741 | 1 1.06 100.00 ------------+----------------------------------- Total | 94 100.00 Frequencies for a00100 variable in countyne1992 dataset : Adjusted | gross | income | (AGI) | 1040:37 / | 1040A:21 / | 1040EZ:4 | Freq. Percent Cum. ------------+----------------------------------- 3,331 | 1 1.06 1.06 3,360 | 1 1.06 2.13 4,654 | 1 1.06 3.19 4,947 | 1 1.06 4.26 6,574 | 1 1.06 5.32 6,664 | 1 1.06 6.38 6,836 | 1 1.06 7.45 6,900 | 1 1.06 8.51 7,275 | 1 1.06 9.57 7,583 | 1 1.06 10.64 7,760 | 1 1.06 11.70 8,431 | 1 1.06 12.77 8,868 | 1 1.06 13.83 16,055 | 1 1.06 14.89 17,468 | 1 1.06 15.96 17,633 | 1 1.06 17.02 18,275 | 1 1.06 18.09 19,448 | 1 1.06 19.15 19,942 | 1 1.06 20.21 20,724 | 1 1.06 21.28 22,245 | 1 1.06 22.34 23,796 | 1 1.06 23.40 26,150 | 1 1.06 24.47 26,801 | 1 1.06 25.53 27,801 | 1 1.06 26.60 29,909 | 1 1.06 27.66 30,705 | 1 1.06 28.72 30,819 | 1 1.06 29.79 33,737 | 1 1.06 30.85 33,797 | 1 1.06 31.91 36,291 | 1 1.06 32.98 41,140 | 1 1.06 34.04 41,655 | 1 1.06 35.11 44,011 | 1 1.06 36.17 44,030 | 1 1.06 37.23 47,327 | 1 1.06 38.30 49,290 | 1 1.06 39.36 50,891 | 1 1.06 40.43 51,255 | 1 1.06 41.49 52,381 | 1 1.06 42.55 52,946 | 1 1.06 43.62 56,115 | 1 1.06 44.68 57,123 | 1 1.06 45.74 57,737 | 1 1.06 46.81 57,954 | 1 1.06 47.87 58,923 | 1 1.06 48.94 61,024 | 1 1.06 50.00 62,446 | 1 1.06 51.06 70,244 | 1 1.06 52.13 71,544 | 1 1.06 53.19 72,327 | 1 1.06 54.26 72,733 | 1 1.06 55.32 73,970 | 1 1.06 56.38 76,893 | 1 1.06 57.45 77,670 | 1 1.06 58.51 78,586 | 1 1.06 59.57 80,903 | 1 1.06 60.64 82,152 | 1 1.06 61.70 83,216 | 1 1.06 62.77 83,333 | 1 1.06 63.83 83,612 | 1 1.06 64.89 84,342 | 1 1.06 65.96 88,461 | 1 1.06 67.02 89,292 | 1 1.06 68.09 97,341 | 1 1.06 69.15 98,228 | 1 1.06 70.21 104,288 | 1 1.06 71.28 105,126 | 1 1.06 72.34 105,732 | 1 1.06 73.40 113,745 | 1 1.06 74.47 116,611 | 1 1.06 75.53 134,848 | 1 1.06 76.60 151,708 | 1 1.06 77.66 153,238 | 1 1.06 78.72 156,656 | 1 1.06 79.79 173,870 | 1 1.06 80.85 189,365 | 1 1.06 81.91 191,186 | 1 1.06 82.98 199,864 | 1 1.06 84.04 214,845 | 1 1.06 85.11 225,088 | 1 1.06 86.17 255,982 | 1 1.06 87.23 344,171 | 1 1.06 88.30 348,909 | 1 1.06 89.36 359,351 | 1 1.06 90.43 375,809 | 1 1.06 91.49 383,735 | 1 1.06 92.55 394,689 | 1 1.06 93.62 424,678 | 1 1.06 94.68 589,778 | 1 1.06 95.74 1383665 | 1 1.06 96.81 3084281 | 1 1.06 97.87 6685768 | 1 1.06 98.94 1.99e+07 | 1 1.06 100.00 ------------+----------------------------------- Total | 94 100.00 Frequencies for a00200 variable in countyne1992 dataset : Salaries | and wages | amount | 1040:7 / | 1040A:7 / | 1040EZ:1 | Freq. Percent Cum. ------------+----------------------------------- 1,601 | 1 1.06 1.06 1,686 | 1 1.06 2.13 2,386 | 1 1.06 3.19 2,475 | 1 1.06 4.26 2,983 | 1 1.06 5.32 3,000 | 1 1.06 6.38 3,587 | 1 1.06 7.45 3,649 | 1 1.06 8.51 4,103 | 1 1.06 9.57 4,487 | 1 1.06 10.64 4,621 | 1 1.06 11.70 4,634 | 1 1.06 12.77 5,197 | 1 1.06 13.83 9,139 | 1 1.06 14.89 10,264 | 1 1.06 15.96 10,579 | 1 1.06 17.02 11,471 | 1 1.06 18.09 12,311 | 1 1.06 19.15 12,414 | 1 1.06 20.21 12,506 | 1 1.06 21.28 13,084 | 1 1.06 22.34 14,682 | 1 1.06 23.40 15,107 | 1 1.06 24.47 17,209 | 1 1.06 25.53 17,232 | 1 1.06 26.60 18,176 | 1 1.06 27.66 18,217 | 1 1.06 28.72 18,400 | 1 1.06 29.79 19,852 | 1 1.06 30.85 20,470 | 1 1.06 31.91 21,275 | 1 1.06 32.98 22,922 | 1 1.06 34.04 26,984 | 1 1.06 35.11 27,057 | 1 1.06 36.17 29,252 | 1 1.06 37.23 30,989 | 1 1.06 38.30 31,089 | 1 1.06 39.36 31,126 | 1 1.06 40.43 32,104 | 1 1.06 41.49 32,892 | 1 1.06 42.55 33,204 | 1 1.06 43.62 33,428 | 1 1.06 44.68 34,050 | 1 1.06 45.74 35,641 | 1 1.06 46.81 36,398 | 1 1.06 47.87 37,079 | 1 1.06 48.94 37,533 | 1 1.06 50.00 37,945 | 1 1.06 51.06 40,879 | 1 1.06 52.13 43,263 | 1 1.06 53.19 44,830 | 1 1.06 54.26 45,511 | 1 1.06 55.32 46,197 | 1 1.06 56.38 47,844 | 1 1.06 57.45 49,070 | 1 1.06 58.51 51,384 | 1 1.06 59.57 51,794 | 1 1.06 60.64 53,738 | 1 1.06 61.70 55,018 | 1 1.06 62.77 55,224 | 1 1.06 63.83 55,259 | 1 1.06 64.89 56,954 | 1 1.06 65.96 57,692 | 1 1.06 67.02 59,289 | 1 1.06 68.09 60,366 | 1 1.06 69.15 63,099 | 1 1.06 70.21 64,230 | 1 1.06 71.28 65,218 | 1 1.06 72.34 72,578 | 1 1.06 73.40 75,680 | 1 1.06 74.47 82,407 | 1 1.06 75.53 97,068 | 1 1.06 76.60 100,385 | 1 1.06 77.66 105,655 | 1 1.06 78.72 113,569 | 1 1.06 79.79 122,053 | 1 1.06 80.85 144,309 | 1 1.06 81.91 147,083 | 1 1.06 82.98 159,386 | 1 1.06 84.04 161,037 | 1 1.06 85.11 164,383 | 1 1.06 86.17 197,388 | 1 1.06 87.23 245,918 | 1 1.06 88.30 263,886 | 1 1.06 89.36 274,645 | 1 1.06 90.43 289,141 | 1 1.06 91.49 289,478 | 1 1.06 92.55 297,397 | 1 1.06 93.62 311,012 | 1 1.06 94.68 444,135 | 1 1.06 95.74 1150697 | 1 1.06 96.81 2378946 | 1 1.06 97.87 5109651 | 1 1.06 98.94 1.47e+07 | 1 1.06 100.00 ------------+----------------------------------- Total | 94 100.00 Frequencies for a00600 variable in countyne1992 dataset : Ordinary | dividends | amount | 1040:9a / | 1040A:9a | Freq. Percent Cum. ------------+----------------------------------- 50 | 1 1.06 1.06 52 | 1 1.06 2.13 60 | 1 1.06 3.19 72 | 1 1.06 4.26 83 | 1 1.06 5.32 104 | 1 1.06 6.38 140 | 1 1.06 7.45 145 | 1 1.06 8.51 151 | 1 1.06 9.57 152 | 1 1.06 10.64 161 | 1 1.06 11.70 162 | 1 1.06 12.77 179 | 1 1.06 13.83 236 | 1 1.06 14.89 254 | 1 1.06 15.96 340 | 1 1.06 17.02 361 | 1 1.06 18.09 386 | 1 1.06 19.15 420 | 1 1.06 20.21 438 | 1 1.06 21.28 442 | 1 1.06 22.34 458 | 1 1.06 23.40 464 | 1 1.06 24.47 506 | 2 2.13 26.60 525 | 1 1.06 27.66 538 | 1 1.06 28.72 547 | 1 1.06 29.79 600 | 1 1.06 30.85 644 | 2 2.13 32.98 647 | 1 1.06 34.04 649 | 1 1.06 35.11 709 | 1 1.06 36.17 717 | 1 1.06 37.23 727 | 2 2.13 39.36 745 | 1 1.06 40.43 807 | 1 1.06 41.49 829 | 1 1.06 42.55 912 | 1 1.06 43.62 930 | 1 1.06 44.68 971 | 1 1.06 45.74 996 | 1 1.06 46.81 1,020 | 1 1.06 47.87 1,041 | 1 1.06 48.94 1,042 | 1 1.06 50.00 1,054 | 1 1.06 51.06 1,056 | 1 1.06 52.13 1,082 | 1 1.06 53.19 1,096 | 1 1.06 54.26 1,139 | 1 1.06 55.32 1,171 | 1 1.06 56.38 1,178 | 1 1.06 57.45 1,258 | 1 1.06 58.51 1,308 | 2 2.13 60.64 1,356 | 1 1.06 61.70 1,551 | 1 1.06 62.77 1,579 | 1 1.06 63.83 1,630 | 1 1.06 64.89 1,656 | 1 1.06 65.96 1,752 | 1 1.06 67.02 1,760 | 1 1.06 68.09 1,768 | 1 1.06 69.15 1,787 | 1 1.06 70.21 1,802 | 1 1.06 71.28 1,854 | 1 1.06 72.34 1,991 | 1 1.06 73.40 2,055 | 1 1.06 74.47 2,094 | 1 1.06 75.53 2,272 | 1 1.06 76.60 2,312 | 1 1.06 77.66 2,946 | 1 1.06 78.72 3,056 | 1 1.06 79.79 3,077 | 1 1.06 80.85 3,090 | 1 1.06 81.91 3,159 | 1 1.06 82.98 3,764 | 1 1.06 84.04 3,938 | 1 1.06 85.11 4,132 | 1 1.06 86.17 4,258 | 1 1.06 87.23 4,983 | 1 1.06 88.30 4,994 | 1 1.06 89.36 5,168 | 1 1.06 90.43 5,755 | 1 1.06 91.49 6,133 | 1 1.06 92.55 7,077 | 1 1.06 93.62 7,081 | 1 1.06 94.68 9,392 | 1 1.06 95.74 15,270 | 1 1.06 96.81 60,999 | 1 1.06 97.87 169,900 | 1 1.06 98.94 392,322 | 1 1.06 100.00 ------------+----------------------------------- Total | 94 100.00 Frequencies for interest variable in countyne1992 dataset : Interest -- | Includes | Taxable and | Non-taxable | Interest | Freq. Percent Cum. ------------+----------------------------------- 463 | 1 1.06 1.06 567 | 1 1.06 2.13 569 | 1 1.06 3.19 619 | 1 1.06 4.26 663 | 1 1.06 5.32 742 | 1 1.06 6.38 767 | 1 1.06 7.45 928 | 1 1.06 8.51 982 | 1 1.06 9.57 987 | 1 1.06 10.64 1,072 | 1 1.06 11.70 1,115 | 1 1.06 12.77 1,160 | 1 1.06 13.83 2,059 | 1 1.06 14.89 2,193 | 1 1.06 15.96 2,243 | 1 1.06 17.02 2,809 | 1 1.06 18.09 2,823 | 1 1.06 19.15 2,973 | 1 1.06 20.21 3,096 | 1 1.06 21.28 3,147 | 1 1.06 22.34 3,368 | 1 1.06 23.40 3,893 | 1 1.06 24.47 3,986 | 1 1.06 25.53 4,001 | 1 1.06 26.60 4,063 | 1 1.06 27.66 4,085 | 1 1.06 28.72 4,088 | 1 1.06 29.79 4,212 | 1 1.06 30.85 4,252 | 1 1.06 31.91 4,419 | 1 1.06 32.98 4,423 | 1 1.06 34.04 4,605 | 1 1.06 35.11 4,952 | 1 1.06 36.17 4,992 | 1 1.06 37.23 5,032 | 1 1.06 38.30 5,256 | 1 1.06 39.36 5,272 | 1 1.06 40.43 5,388 | 1 1.06 41.49 5,779 | 1 1.06 42.55 6,166 | 1 1.06 43.62 6,413 | 1 1.06 44.68 6,485 | 1 1.06 45.74 6,713 | 1 1.06 46.81 6,944 | 1 1.06 47.87 7,030 | 1 1.06 48.94 7,113 | 1 1.06 50.00 7,245 | 1 1.06 51.06 7,285 | 1 1.06 52.13 7,523 | 1 1.06 53.19 7,543 | 1 1.06 54.26 7,690 | 1 1.06 55.32 7,867 | 1 1.06 56.38 7,960 | 1 1.06 57.45 8,161 | 1 1.06 58.51 8,172 | 1 1.06 59.57 8,178 | 1 1.06 60.64 8,319 | 1 1.06 61.70 8,718 | 1 1.06 62.77 9,042 | 1 1.06 63.83 9,452 | 1 1.06 64.89 9,547 | 1 1.06 65.96 9,580 | 1 1.06 67.02 9,699 | 1 1.06 68.09 9,982 | 1 1.06 69.15 10,006 | 1 1.06 70.21 10,284 | 1 1.06 71.28 10,979 | 1 1.06 72.34 11,530 | 1 1.06 73.40 11,958 | 1 1.06 74.47 11,983 | 1 1.06 75.53 12,295 | 1 1.06 76.60 12,808 | 1 1.06 77.66 13,737 | 1 1.06 78.72 13,822 | 1 1.06 79.79 14,149 | 1 1.06 80.85 14,213 | 1 1.06 81.91 14,872 | 1 1.06 82.98 15,052 | 1 1.06 84.04 15,624 | 1 1.06 85.11 17,850 | 1 1.06 86.17 20,597 | 1 1.06 87.23 24,947 | 1 1.06 88.30 26,264 | 1 1.06 89.36 27,659 | 1 1.06 90.43 28,167 | 1 1.06 91.49 28,286 | 1 1.06 92.55 28,682 | 1 1.06 93.62 30,707 | 1 1.06 94.68 37,409 | 1 1.06 95.74 41,129 | 1 1.06 96.81 315,367 | 1 1.06 97.87 373,348 | 1 1.06 98.94 1510589 | 1 1.06 100.00 ------------+----------------------------------- Total | 94 100.00 by Jean Roth , jroth@nber.org , 23 Jun 2017