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Global Gender Gap
| Total | Total with gender | Females | % Females | Gap | Males | % Males | Others | % Others |
| 3,954,304 | 3,789,725 | 674,283 | 17.792 % | | 3,113,838 | 82.165 % | 1,604 | 0.042 % |
[Tajik Wikipedia] Gender Gap
| Total | Total with gender | Females | % Females | Gap | Males | % Males | Others | % Others |
| 27,701 | 26,358 | 758 | 2.876 % | | 25,600 | 97.124 % | 0 | 0.000 % |
[Tajik Wikipedia] Gender Gap by year of birth
Years of birth | Total | Total with gender | Females | % Females | Gap | Males | % Males | Others | % Others |
1800 → 1809 | 33 | 32 | 2 | 6.250 % | total under the threshold of 277 people | 30 | 93.750 % | 0 | 0.000 % |
1810 → 1819 | 46 | 46 | 7 | 15.217 % | total under the threshold of 277 people | 39 | 84.783 % | 0 | 0.000 % |
1820 → 1829 | 32 | 31 | 2 | 6.452 % | total under the threshold of 277 people | 29 | 93.548 % | 0 | 0.000 % |
1830 → 1839 | 41 | 40 | 2 | 5.000 % | total under the threshold of 277 people | 38 | 95.000 % | 0 | 0.000 % |
1840 → 1849 | 46 | 45 | 4 | 8.889 % | total under the threshold of 277 people | 41 | 91.111 % | 0 | 0.000 % |
1850 → 1859 | 57 | 52 | 3 | 5.769 % | total under the threshold of 277 people | 49 | 94.231 % | 0 | 0.000 % |
1860 → 1869 | 70 | 63 | 6 | 9.524 % | total under the threshold of 277 people | 57 | 90.476 % | 0 | 0.000 % |
1870 → 1879 | 79 | 74 | 4 | 5.405 % | total under the threshold of 277 people | 70 | 94.595 % | 0 | 0.000 % |
1880 → 1889 | 121 | 116 | 6 | 5.172 % | total under the threshold of 277 people | 110 | 94.828 % | 0 | 0.000 % |
1890 → 1899 | 224 | 213 | 6 | 2.817 % | total under the threshold of 277 people | 207 | 97.183 % | 0 | 0.000 % |
1900 → 1909 | 439 | 410 | 20 | 4.878 % | | 390 | 95.122 % | 0 | 0.000 % |
1910 → 1919 | 467 | 429 | 29 | 6.760 % | | 400 | 93.240 % | 0 | 0.000 % |
1920 → 1929 | 643 | 580 | 49 | 8.448 % | | 531 | 91.552 % | 0 | 0.000 % |
1930 → 1939 | 872 | 771 | 56 | 7.263 % | | 715 | 92.737 % | 0 | 0.000 % |
1940 → 1949 | 1,185 | 1,042 | 76 | 7.294 % | | 966 | 92.706 % | 0 | 0.000 % |
1950 → 1959 | 1,313 | 1,185 | 65 | 5.485 % | | 1,120 | 94.515 % | 0 | 0.000 % |
1960 → 1969 | 1,815 | 1,717 | 62 | 3.611 % | | 1,655 | 96.389 % | 0 | 0.000 % |
1970 → 1979 | 3,966 | 3,931 | 100 | 2.544 % | | 3,831 | 97.456 % | 0 | 0.000 % |
1980 → 1989 | 8,755 | 8,735 | 111 | 1.271 % | | 8,624 | 98.729 % | 0 | 0.000 % |
1990 → 1999 | 5,359 | 5,340 | 49 | 0.918 % | | 5,291 | 99.082 % | 0 | 0.000 % |
2000 → 2009 | 46 | 45 | 4 | 8.889 % | total under the threshold of 277 people | 41 | 91.111 % | 0 | 0.000 % |
2010 → 2019 | 0 | 0 | 0 | N/A | total under the threshold of 277 people | 0 | N/A | 0 | N/A |
2020 → 2029 | 0 | 0 | 0 | N/A | total under the threshold of 277 people | 0 | N/A | 0 | N/A |
[Tajik Wikipedia] Gender Gap by country of citizenship
Country ▴ |
Total ▾ |
Total with gender ▾ |
Females ▾ |
% Fem. ▾ |
Gap | Males ▾ |
% Mal. ▾ |
Others ▾ |
% Oth. ▾ |
Brazil | 4,284 | 4,284 | 5 | 0.117 % | | 4,279 | 99.883 % | 0 | 0.000 % |
Spain | 3,972 | 3,972 | 56 | 1.410 % | | 3,916 | 98.590 % | 0 | 0.000 % |
Argentina | 3,595 | 3,595 | 1 | 0.028 % | | 3,594 | 99.972 % | 0 | 0.000 % |
Russia | 2,502 | 2,502 | 29 | 1.159 % | | 2,473 | 98.841 % | 0 | 0.000 % |
Uruguay | 1,186 | 1,186 | 1 | 0.084 % | | 1,185 | 99.916 % | 0 | 0.000 % |
Soviet Union | 1,145 | 1,144 | 77 | 6.731 % | | 1,067 | 93.269 % | 0 | 0.000 % |
Chile | 1,116 | 1,116 | 3 | 0.269 % | | 1,113 | 99.731 % | 0 | 0.000 % |
Colombia | 972 | 972 | 9 | 0.926 % | | 963 | 99.074 % | 0 | 0.000 % |
Albania | 830 | 830 | 1 | 0.120 % | | 829 | 99.880 % | 0 | 0.000 % |
Paraguay | 743 | 743 | 0 | 0.000 % | | 743 | 100.000 % | 0 | 0.000 % |
Mexico | 520 | 520 | 15 | 2.885 % | | 505 | 97.115 % | 0 | 0.000 % |
Peru | 504 | 504 | 0 | 0.000 % | | 504 | 100.000 % | 0 | 0.000 % |
United States of America | 500 | 500 | 122 | 24.400 % | | 378 | 75.600 % | 0 | 0.000 % |
Costa Rica | 326 | 326 | 2 | 0.613 % | | 324 | 99.387 % | 0 | 0.000 % |
El Salvador | 322 | 322 | 0 | 0.000 % | | 322 | 100.000 % | 0 | 0.000 % |
Ecuador | 317 | 317 | 0 | 0.000 % | | 317 | 100.000 % | 0 | 0.000 % |
Honduras | 315 | 315 | 2 | 0.635 % | | 313 | 99.365 % | 0 | 0.000 % |
Russian Empire | 310 | 310 | 17 | 5.484 % | | 293 | 94.516 % | 0 | 0.000 % |
Tajikistan | 302 | 278 | 58 | 20.863 % | | 220 | 79.137 % | 0 | 0.000 % |
Bolivia | 286 | 286 | 0 | 0.000 % | | 286 | 100.000 % | 0 | 0.000 % |
[Tajik Wikipedia] Gender Gap by occupation
Occupation ▴ |
Total ▾ |
Total with gender ▾ |
Females ▾ |
% Fem. ▾ |
Gap | Males ▾ |
% Mal. ▾ |
Others ▾ |
% Oth. ▾ |
agent | 27,218 | 26,180 | 737 | 2.815 % | | 25,443 | 97.185 % | 0 | 0.000 % |
sports figure | 22,816 | 22,735 | 74 | 0.325 % | | 22,661 | 99.675 % | 0 | 0.000 % |
athlete | 22,803 | 22,722 | 74 | 0.326 % | | 22,648 | 99.674 % | 0 | 0.000 % |
player | 22,726 | 22,676 | 80 | 0.353 % | | 22,596 | 99.647 % | 0 | 0.000 % |
competitive player | 22,725 | 22,675 | 80 | 0.353 % | | 22,595 | 99.647 % | 0 | 0.000 % |
association football player | 22,673 | 22,623 | 60 | 0.265 % | | 22,563 | 99.735 % | 0 | 0.000 % |
worker | 4,708 | 3,751 | 666 | 17.755 % | | 3,085 | 82.245 % | 0 | 0.000 % |
professional | 4,663 | 3,706 | 665 | 17.944 % | | 3,041 | 82.056 % | 0 | 0.000 % |
artist | 4,051 | 3,105 | 626 | 20.161 % | | 2,479 | 79.839 % | 0 | 0.000 % |
coach | 3,898 | 3,898 | 4 | 0.103 % | | 3,894 | 99.897 % | 0 | 0.000 % |
coaching | 3,898 | 3,898 | 4 | 0.103 % | | 3,894 | 99.897 % | 0 | 0.000 % |
association football manager | 3,884 | 3,884 | 4 | 0.103 % | | 3,880 | 99.897 % | 0 | 0.000 % |
creator | 3,342 | 2,471 | 424 | 17.159 % | | 2,047 | 82.841 % | 0 | 0.000 % |
erudite | 1,833 | 1,334 | 167 | 12.519 % | | 1,167 | 87.481 % | 0 | 0.000 % |
author | 1,810 | 1,431 | 191 | 13.347 % | | 1,240 | 86.653 % | 0 | 0.000 % |
researcher | 1,754 | 1,255 | 155 | 12.351 % | | 1,100 | 87.649 % | 0 | 0.000 % |
writer | 1,574 | 1,200 | 146 | 12.167 % | | 1,054 | 87.833 % | 0 | 0.000 % |
scientist | 1,466 | 978 | 129 | 13.190 % | | 849 | 86.810 % | 0 | 0.000 % |
actor | 762 | 745 | 328 | 44.027 % | | 417 | 55.973 % | 0 | 0.000 % |
job | 727 | 723 | 61 | 8.437 % | | 662 | 91.563 % | 0 | 0.000 % |
profession | 727 | 723 | 61 | 8.437 % | | 662 | 91.563 % | 0 | 0.000 % |
work | 727 | 723 | 61 | 8.437 % | | 662 | 91.563 % | 0 | 0.000 % |
politician | 714 | 711 | 50 | 7.032 % | | 661 | 92.968 % | 0 | 0.000 % |
leader | 557 | 547 | 53 | 9.689 % | | 494 | 90.311 % | 0 | 0.000 % |
businessperson | 547 | 547 | 84 | 15.356 % | | 463 | 84.644 % | 0 | 0.000 % |
poet | 546 | 497 | 54 | 10.865 % | | 443 | 89.135 % | 0 | 0.000 % |
media professional | 513 | 509 | 92 | 18.075 % | | 417 | 81.925 % | 0 | 0.000 % |
humanities scholar | 489 | 477 | 25 | 5.241 % | | 452 | 94.759 % | 0 | 0.000 % |
executive | 468 | 458 | 48 | 10.480 % | | 410 | 89.520 % | 0 | 0.000 % |
leader of organisation | 468 | 458 | 48 | 10.480 % | | 410 | 89.520 % | 0 | 0.000 % |
musician | 462 | 410 | 114 | 27.805 % | | 296 | 72.195 % | 0 | 0.000 % |
manager | 452 | 442 | 48 | 10.860 % | | 394 | 89.140 % | 0 | 0.000 % |
film actor | 405 | 405 | 211 | 52.099 % | | 194 | 47.901 % | 0 | 0.000 % |
educator | 339 | 339 | 30 | 8.850 % | | 309 | 91.150 % | 0 | 0.000 % |
teacher | 330 | 330 | 24 | 7.273 % | | 306 | 92.727 % | 0 | 0.000 % |
non-fiction writer | 311 | 306 | 39 | 12.745 % | | 267 | 87.255 % | 0 | 0.000 % |
screenwriter | 310 | 310 | 38 | 12.258 % | | 272 | 87.742 % | 0 | 0.000 % |
employee | 296 | 288 | 15 | 5.208 % | | 273 | 94.792 % | 0 | 0.000 % |
visual artist | 287 | 284 | 25 | 8.803 % | | 259 | 91.197 % | 0 | 0.000 % |