Year
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Men per 100 women Drag the dots to move the color cutoffs

  • Under 95
  • 95 to <105
  • 105+

The world in 2026

UN medium projection

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200 mapped · 237 countries & territories in the CSV · UN WPP 2024Open default map

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The numbers behind the map.

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Includes countries and territories with at least 50,000 men aged 30–35 in 2026, using the same list for every year. Smaller populations remain on the map and in the CSV.

162 countries & territories · 2026

  • Under 9569
  • 95 to <10522
  • 105+71

Click a column heading to sort.

Men aged 30–35 per 100 women aged 20–25, 2026. Lower ratios mean fewer men per woman.
Afghanistan71.6 — Below lower cutoff1,839,5142,569,406
Albania138.0 — At or above upper cutoff137,94999,978
Algeria117.0 — At or above upper cutoff2,095,1301,790,680
Angola70.0 — Below lower cutoff1,450,3532,072,223
Argentina104.9 — Between cutoffs2,132,3632,032,643
Armenia124.0 — At or above upper cutoff128,303103,514
Australia120.7 — At or above upper cutoff1,175,112973,639
Austria134.8 — At or above upper cutoff373,401277,070
Azerbaijan131.1 — At or above upper cutoff512,870391,274
Bahrain304.9 — At or above upper cutoff165,02454,119
Bangladesh73.5 — Below lower cutoff7,559,29010,278,668
Belarus139.4 — At or above upper cutoff349,905251,038
Belgium111.0 — At or above upper cutoff450,406405,628
Benin75.7 — Below lower cutoff606,372801,533
Bhutan126.5 — At or above upper cutoff53,69042,425
Bolivia (Plurinational State of)92.0 — Below lower cutoff617,362671,304
Bosnia and Herzegovina104.7 — Between cutoffs99,54495,106
Botswana99.3 — Between cutoffs145,714146,818
Brazil105.8 — At or above upper cutoff9,611,7779,082,494
Bulgaria123.4 — At or above upper cutoff228,328184,973
Burkina Faso69.5 — Below lower cutoff954,1511,371,878
Burundi66.8 — Below lower cutoff517,943775,777
Cambodia94.0 — Below lower cutoff813,943866,081
Cameroon74.2 — Below lower cutoff1,229,7641,657,009
Canada122.7 — At or above upper cutoff1,789,9411,459,170
Central African Republic45.9 — Below lower cutoff161,697352,539
Chad71.1 — Below lower cutoff798,4881,122,926
Chile131.4 — At or above upper cutoff999,214760,528
China140.8 — At or above upper cutoff61,387,57943,590,528
China, Hong Kong SAR175.2 — At or above upper cutoff267,781152,890
China, Taiwan Province of China137.8 — At or above upper cutoff947,154687,225
Colombia108.7 — At or above upper cutoff2,747,1012,527,276
Congo72.2 — Below lower cutoff247,162342,463
Costa Rica114.4 — At or above upper cutoff247,499216,384
Côte d'Ivoire74.1 — Below lower cutoff1,272,7551,717,151
Croatia114.0 — At or above upper cutoff130,157114,200
Cuba117.2 — At or above upper cutoff427,381364,567
Cyprus155.8 — At or above upper cutoff69,16144,389
Czechia123.0 — At or above upper cutoff386,218313,988
Dem. People's Republic of Korea119.3 — At or above upper cutoff1,207,1731,012,158
Democratic Republic of the Congo69.7 — Below lower cutoff4,147,9365,953,475
Denmark113.9 — At or above upper cutoff252,511221,638
Djibouti78.8 — Below lower cutoff55,19270,078
Dominican Republic96.6 — Between cutoffs541,682560,680
Ecuador98.5 — Between cutoffs899,890913,789
Egypt90.6 — Below lower cutoff5,305,3295,857,170
El Salvador101.5 — Between cutoffs337,953332,958
Equatorial Guinea96.3 — Between cutoffs88,96892,349
Eritrea61.7 — Below lower cutoff140,057226,838
Eswatini82.9 — Below lower cutoff58,98671,161
Ethiopia72.1 — Below lower cutoff5,940,7448,244,082
Finland118.7 — At or above upper cutoff224,617189,260
France89.4 — Below lower cutoff2,216,0932,479,140
Gabon89.0 — Below lower cutoff115,706129,948
Gambia76.7 — Below lower cutoff122,260159,469
Georgia122.4 — At or above upper cutoff150,650123,103
Germany129.6 — At or above upper cutoff3,106,5822,397,863
Ghana79.2 — Below lower cutoff1,517,4791,916,200
Greece104.3 — Between cutoffs312,005299,243
Guatemala85.2 — Below lower cutoff943,8531,108,319
Guinea77.5 — Below lower cutoff657,684849,170
Guinea-Bissau74.9 — Below lower cutoff96,152128,432
Haiti86.8 — Below lower cutoff573,272660,317
Honduras89.6 — Below lower cutoff556,733621,133
Hungary127.1 — At or above upper cutoff382,950301,283
India102.1 — Between cutoffs75,282,69973,714,992
Indonesia101.0 — Between cutoffs13,090,00412,956,720
Iran (Islamic Republic of)128.9 — At or above upper cutoff4,477,2903,474,610
Iraq83.5 — Below lower cutoff2,140,6002,562,370
Ireland88.9 — Below lower cutoff188,505211,960
Israel85.9 — Below lower cutoff370,198430,961
Italy109.8 — At or above upper cutoff1,973,7321,797,954
Jamaica119.4 — At or above upper cutoff160,206134,179
Japan101.7 — Between cutoffs3,678,2003,618,262
Jordan97.3 — Between cutoffs577,831594,059
Kazakhstan116.5 — At or above upper cutoff887,806761,964
Kenya69.7 — Below lower cutoff2,451,7453,517,823
Kosovo (under UNSC res. 1244)89.4 — Below lower cutoff74,56683,412
Kuwait290.1 — At or above upper cutoff438,673151,194
Kyrgyzstan103.2 — Between cutoffs332,361322,013
Lao People's Democratic Republic93.9 — Below lower cutoff395,212420,707
Latvia125.2 — At or above upper cutoff66,15852,823
Lebanon73.0 — Below lower cutoff201,055275,579
Lesotho86.1 — Below lower cutoff115,688134,395
Liberia66.5 — Below lower cutoff220,636331,965
Libya87.3 — Below lower cutoff321,666368,252
Lithuania147.8 — At or above upper cutoff126,10585,309
Madagascar75.0 — Below lower cutoff1,389,6331,853,888
Malawi66.1 — Below lower cutoff899,2151,360,381
Malaysia116.4 — At or above upper cutoff2,082,6051,789,602
Maldives359.7 — At or above upper cutoff56,85215,806
Mali64.7 — Below lower cutoff900,7521,392,222
Mauritania66.4 — Below lower cutoff196,474296,055
Mauritius119.0 — At or above upper cutoff65,05254,650
Mexico92.6 — Below lower cutoff6,097,9706,584,067
Mongolia116.5 — At or above upper cutoff153,315131,568
Morocco101.7 — Between cutoffs1,764,7161,734,825
Mozambique67.7 — Below lower cutoff1,358,6792,007,350
Myanmar99.3 — Between cutoffs2,599,7922,618,407
Namibia95.8 — Between cutoffs147,319153,784
Nepal69.2 — Below lower cutoff1,209,0341,746,125
Netherlands109.0 — At or above upper cutoff761,099698,525
New Zealand117.8 — At or above upper cutoff233,210197,919
Nicaragua94.5 — Below lower cutoff349,700369,926
Niger64.5 — Below lower cutoff999,5841,549,832
Nigeria68.0 — Below lower cutoff9,314,92913,690,187
North Macedonia117.5 — At or above upper cutoff70,85460,316
Norway116.0 — At or above upper cutoff241,614208,235
Oman315.5 — At or above upper cutoff598,864189,839
Pakistan79.9 — Below lower cutoff11,091,29813,885,986
Panama96.5 — Between cutoffs204,878212,367
Papua New Guinea91.1 — Below lower cutoff515,765565,904
Paraguay104.7 — Between cutoffs352,583336,772
Peru96.1 — Between cutoffs1,616,5871,681,777
Philippines91.0 — Below lower cutoff5,824,7006,399,769
Poland145.5 — At or above upper cutoff1,488,4101,023,173
Portugal99.7 — Between cutoffs332,828333,794
Puerto Rico95.2 — Between cutoffs114,478120,211
Qatar588.7 — At or above upper cutoff456,05977,468
Republic of Korea151.2 — At or above upper cutoff2,335,6331,544,869
Republic of Moldova119.9 — At or above upper cutoff110,67392,276
Romania107.2 — At or above upper cutoff639,165596,422
Russian Federation118.5 — At or above upper cutoff5,295,7884,467,844
Rwanda67.9 — Below lower cutoff599,468882,742
Saudi Arabia219.9 — At or above upper cutoff3,129,9311,423,535
Senegal75.7 — Below lower cutoff817,0681,078,955
Serbia114.5 — At or above upper cutoff238,766208,589
Sierra Leone73.9 — Below lower cutoff380,074514,088
Singapore141.2 — At or above upper cutoff385,684273,171
Slovakia141.3 — At or above upper cutoff213,086150,818
Slovenia127.6 — At or above upper cutoff75,79059,383
Somalia66.1 — Below lower cutoff707,1771,069,300
South Africa107.9 — At or above upper cutoff3,347,0423,102,038
South Sudan48.1 — Below lower cutoff378,072785,993
Spain104.5 — Between cutoffs1,585,6511,517,470
Sri Lanka93.5 — Below lower cutoff959,4971,026,244
State of Palestine84.2 — Below lower cutoff256,202304,476
Sudan74.6 — Below lower cutoff2,192,8112,938,007
Sweden126.0 — At or above upper cutoff457,211363,018
Switzerland132.0 — At or above upper cutoff358,332271,409
Syrian Arab Republic66.2 — Below lower cutoff1,171,1101,767,923
Tajikistan91.4 — Below lower cutoff485,713531,170
Thailand111.4 — At or above upper cutoff3,051,9512,740,580
Timor-Leste69.6 — Below lower cutoff62,55989,938
Togo76.9 — Below lower cutoff399,308519,333
Trinidad and Tobago120.4 — At or above upper cutoff66,27055,042
Tunisia116.0 — At or above upper cutoff545,503470,167
Türkiye112.3 — At or above upper cutoff4,056,7473,614,007
Turkmenistan141.7 — At or above upper cutoff408,330288,215
Uganda70.4 — Below lower cutoff2,175,4813,091,971
Ukraine130.3 — At or above upper cutoff1,634,7561,254,496
United Arab Emirates341.8 — At or above upper cutoff1,529,415447,476
United Kingdom117.8 — At or above upper cutoff2,866,7352,433,854
United Republic of Tanzania69.8 — Below lower cutoff2,800,3824,009,031
United States of America107.9 — At or above upper cutoff14,741,16913,657,286
Uruguay107.8 — At or above upper cutoff151,286140,272
Uzbekistan129.5 — At or above upper cutoff1,880,1411,451,657
Venezuela (Bolivarian Republic of)73.4 — Below lower cutoff1,040,0211,416,403
Viet Nam121.2 — At or above upper cutoff4,773,7133,937,543
Yemen85.0 — Below lower cutoff1,894,6592,228,472
Zambia71.6 — Below lower cutoff912,7671,274,460
Zimbabwe50.5 — Below lower cutoff511,2241,012,095
Where the numbers come from, and how to read them

One source, consistent age groups. We use the UN Department of Economic and Social Affairs’ World Population Prospects 2024 ↗, summing the single-age male populations at ages 30 through 35 and the single-age female populations at ages 20 through 25. These are UN estimates, not six independent census counts in every country: where census inputs use five-year age groups, the UN adjusts and smooths them, then graduates them to single ages. The ratio is men ÷ women × 100. Counts refer to 1 July of each year.

Historical estimates and a current projection. The 1990, 2000, 2010, and 2020 values are the UN’s reconstructed population estimates. The 2026 values use its medium projection. We do not extrapolate individual countries ourselves or substitute five-year bands for the six-year ranges shown here.

Comparable does not mean equally certain. UN estimates combine censuses, vital records, surveys, and demographic modeling. Countries with older censuses, conflict, or large migration flows can have greater uncertainty. These figures do not support precise claims about a particular city or neighborhood; small differences between countries should not be overinterpreted.

This compares two different generations. A lower ratio can reflect a larger younger generation, migration, and differences in mortality as well as the balance between sexes. The data classify population by sex and do not identify relationship status, orientation, or willingness to date someone in the other age group.

Your cutoffs apply to every year. The defaults are green below 95 men per 100 women, blue from 95 to under 105, and red at 105 or more. Drag either cutoff between 80 and 130 to change the map and table, or reset to the defaults. Colors use the ratio rounded to one decimal. These are comparison cutoffs, not statistical confidence intervals; a custom blue range does not necessarily mean parity. Shared page links preserve your cutoffs; separately published Datawrapper maps use the defaults. Counts are rounded to people; small territories can have very small age groups.

Geography over time. We show the UN’s country and area series on one present-day basemap, rather than recreating historical borders. The table includes only countries and territories with at least 50,000 men aged 30–35 in 2026, applying that fixed list to all years. This filter does not affect the map or CSV. Some small territories have data in the CSV but no separate polygon on the map. Gray means no matched data, not a balanced ratio.

Read the UN methodology ↗ · Download the data