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Visualizing India’s Population Growth from 2022-2100

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Charting out India's population growth over the years

Visualizing India’s Population Growth from 2022-2100

For years, India has been on track to overtake China as the world’s most populated country.

In fact, we’ve covered this phenomenon in past articles, back when India was expected to overtake China’s population by the end of the decade.

However, according to the UN’s latest population prospects, this takeover is projected to happen sooner than previously expected—as early as next year.

This graphic by Pablo Alvarez provides an up-to-date chart of India’s population growth projections compared to other countries. Projection data from Our World in Data ranges from 1800 all the way to until 2100.

Some Historical Context

For over three centuries, China has had the largest population of any country in the world.

In the 1800s, China’s population was about 322 million, which was nearly double India’s at the time. And until the mid-20th century, both countries’ populations stayed relatively stable.

However, in 1949, China’s population started to experience dramatic growth. This occurred after the Chinese Civil War when the People’s Republic of China was first established.

Around the same time, India’s population had also started to increase. Since both countries were experiencing population booms, the status quo remained the same, and China kept its position as the world’s most populated country.

YearChina's PopulationIndia's Population
1950543,979,233357,021,106
1951553,613,990364,922,356
1952564,954,522372,997,192
1953577,378,687381,227,710
1954589,936,006389,731,408
1955603,320,152398,577,988
1956616,283,025407,656,598
1957630,003,022416,935,404
1958643,791,575426,295,767
1959652,179,197435,900,351
1960654,170,699445,954,573
1961655,260,384456,351,883
1962664,614,653467,024,195
1963683,903,564477,933,620
1964704,593,776489,059,307
1965723,846,349500,114,347
1966742,948,545510,992,615
1967761,006,267521,987,066
1968780,371,962533,431,917
1969801,430,969545,314,679
1970822,534,453557,501,303
1971843,285,425569,999,181
1972862,840,402582,837,969
1973881,652,084596,107,487
1974899,367,646609,721,954
1975915,124,664623,524,225
1976929,375,929637,451,444
1977942,581,333651,685,632
1978955,138,940666,267,761
1979968,298,969681,248,379
1980982,372,463696,828,379
1981997,259,502712,869,300
19821,013,483,168729,169,469
19831,029,226,907745,826,550
19841,044,172,200762,895,161
19851,060,239,983780,242,087
19861,077,770,524797,878,992
19871,096,851,842815,716,128
19881,115,889,802833,729,683
19891,134,414,721852,012,670
19901,153,704,251870,452,162
19911,170,626,176888,941,763
19921,183,813,393907,574,051
19931,195,855,556926,351,289
19941,207,286,682945,261,956
19951,218,144,429964,279,137
19961,228,298,833983,281,216
19971,237,801,4491,002,335,231
19981,246,836,1111,021,434,572
19991,255,433,2371,040,500,049
20001,264,099,0691,059,633,672
20011,272,739,5871,078,970,908
20021,280,926,1211,098,313,030
20031,288,873,3651,117,415,122
20041,296,816,7061,136,264,583
20051,304,887,5571,154,638,717
20061,313,086,5681,172,373,788
20071,321,513,2271,189,691,814
20081,330,167,1441,206,734,803
20091,339,125,5921,223,640,160
20101,348,191,3711,240,613,616
20111,357,095,4851,257,621,190
20121,366,560,8181,274,487,221
20131,376,100,3011,291,132,067
20141,385,189,6711,307,246,508
20151,393,715,4481,322,866,506
20161,401,889,6851,338,636,336
20171,410,275,9561,354,195,684
20181,417,069,4621,369,003,309
20191,421,864,0321,383,112,049
20201,424,929,7851,396,387,128
20211,425,893,4631,407,563,841
20221,425,887,3351,417,173,176
20231,425,671,3531,428,627,666
20241,425,178,7811,441,719,857
20251,424,381,9231,454,606,728
20261,423,255,2001,467,231,220
20271,421,809,0611,479,578,524
20281,420,045,5771,491,671,044
20291,417,974,6401,503,470,599
20301,415,605,9031,514,994,087
20311,412,946,0061,526,208,895
20321,410,012,8701,537,108,031
20331,406,810,3821,547,689,840
20341,403,314,8201,557,919,804
20351,399,547,5021,567,802,259
20361,395,546,7251,577,302,810
20371,391,338,4191,586,438,626
20381,386,952,0011,595,245,784
20391,382,367,1261,603,664,860
20401,377,556,9401,611,676,335
20411,372,522,3921,619,318,358
20421,367,267,0981,626,585,371
20431,361,737,2531,633,430,527
20441,355,912,8141,639,837,776
20451,349,756,9051,645,863,188
20461,343,210,2391,651,513,758
20471,336,262,9051,656,777,044
20481,328,873,6081,661,705,661
20491,321,004,2041,666,284,988
20501,312,636,3241,670,490,601
20511,303,756,6021,674,343,637
20521,294,381,0841,677,872,878
20531,284,539,8721,681,073,177
20541,274,244,7571,683,955,037
20551,263,512,5561,686,563,352
20561,252,371,9861,688,894,376
20571,240,879,9941,690,942,710
20581,229,126,1551,692,704,326
20591,217,157,9371,694,150,262
20601,205,020,6481,695,285,494
20611,192,805,2281,696,121,515
20621,180,553,3711,696,684,918
20631,168,316,2551,696,976,688
20641,156,145,6371,696,961,377
20651,144,050,9181,696,634,190
20661,132,053,3981,695,973,643
20671,120,182,1211,694,997,001
20681,108,424,5871,693,712,645
20691,096,787,1331,692,129,035
20701,085,287,6181,690,230,784
20711,073,902,3901,687,990,288
20721,062,612,8891,685,415,098
20731,051,380,9061,682,564,511
20741,040,194,8511,679,449,249
20751,029,035,6031,676,034,859
20761,017,860,4641,672,328,378
20771,006,663,1521,668,352,088
2078995,438,0141,664,100,419
2079984,185,3951,659,592,784
2080972,906,8891,654,856,929
2081961,612,9871,649,862,775
2082950,338,4101,644,678,011
2083939,100,1171,639,364,769
2084927,912,3831,633,888,924
2085916,808,8041,628,242,630
2086905,821,0241,622,427,549
2087894,960,2591,616,451,908
2088884,243,8891,610,366,043
2089873,694,7041,604,195,815
2090863,319,5371,597,908,860
2091853,111,7681,591,484,817
2092843,067,0311,584,943,122
2093833,162,1871,578,296,210
2094823,380,9811,571,569,445
2095813,718,7281,564,797,337
2096804,153,5921,557,945,215
2097794,673,4851,551,000,312
2098785,270,3151,543,990,233
2099775,944,4291,536,933,456
2100766,673,2681,529,850,116

China’s baby boom lasted two decades. But by the late 1970s, the Chinese government implemented a one-child policy in an attempt to slow things down and control population growth, out of fear that China was becoming overpopulated.

The plan worked—according to China’s National Health and Family Planning Commission spokesman Mao Qunan, the government’s efforts ended up reducing the number of births over the years by roughly 400 million.

China’s Population is Aging Faster Than India’s

These days, China has one of the most rapidly aging populations in the world. By 2040, it’s expected that 28% of the country’s population will be over the age of 60.

In contrast, India’s population is relatively young—half of its population is under 30, and only an eighth is over 60.

Does this mean that India’s GDP will eventually outpace China’s? Not necessarily.

As quoted in an article published in Business Standard, Madan Sabnavis, Chief Economist of the Bank of Baroda says that India needs to increase its labor participation, as well as general access to education, in order to reap the benefits of its increasing working-age population.

As of 2022, India’s workforce participation rate sits at 46%, compared to China’s 68%. How will this change in the future?

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This article was published as a part of Visual Capitalist's Creator Program, which features data-driven visuals from some of our favorite Creators around the world.

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Maps

Mapped: The Countries Where the Most Women Work in 2025

Where do women work? We look at current data from the International Labour Organization to find out. An interesting phenomenon emerges.

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This graphic tracks the women workforce participation rate by country, with 2025 estimates from the International Labour Organization.

Mapped: The Countries Where the Most Women Work in 2025

This was originally posted on our Voronoi app. Download the app for free on iOS or Android and discover incredible data-driven charts from a variety of trusted sources.

Key Takeaways

  • Women are more likely to work in very poor or very rich countries, but less so in middle-income ones
  • For example, Madagascar (low income) and Iceland (high income) both have the same rate of women workforce participation (84%)
  • On the other hand, Nepal (middle income) only has around 30% of working-age women actively employed or looking for work

Where do women work the most, why is this an important measure to track, and what can it tell us about a country?

We map out relevant data to answer these questions, sourced from 2025 estimates made by the International Labour Organization.

It shows the share of working-age women (15–64) who are employed or looking for work in each country, also known as the labor force participation rate.

Ranked: Where Women Participate Most in the Workforce

As a general trend: women’s workforce participation spikes in either very poor countries, or very rich ones.

For example, the highest rates can be seen in North Korea and Madagascar (84–87%), and Iceland and the Netherlands (82–84%).

Per current World Bank classification, the former are low-income countries, and the latter are high-income countries.

RankCountryISO CodeWomen Workforce Participation Rate (%)
1🇰🇵 North KoreaPRK87
2🇸🇧 Solomon IslandsSLB84
3🇲🇬 MadagascarMDG84
4🇮🇸 IcelandISL84
5🇳🇱 NetherlandsNLD82
6🇸🇪 SwedenSWE82
7🇳🇬 NigeriaNGA82
8🇹🇿 TanzaniaTZA82
9🇧🇮 BurundiBDI81
10🇪🇪 EstoniaEST81
11🇨🇭 SwitzerlandCHE80
12🇳🇿 New ZealandNZL80
13🇫🇮 FinlandFIN80
14🇰🇭 CambodiaKHM79
15🇩🇰 DenmarkDNK79
16🇲🇿 MozambiqueMOZ78
17🇳🇴 NorwayNOR78
18🇺🇬 UgandaUGA78
19🇨🇦 CanadaCAN78
20🇱🇹 LithuaniaLTU78
21🇦🇺 AustraliaAUS77
22🇯🇵 JapanJPN77
23🇧🇾 BelarusBLR76
24🇩🇪 GermanyDEU76
25🇰🇿 KazakhstanKAZ76
26🇵🇹 PortugalPRT76
27🇧🇯 BeninBEN76
28🇨🇾 CyprusCYP76
29🇧🇸 BahamasBHS76
30🇪🇷 EritreaERI75
31🇻🇳 VietnamVNM75
32🇧🇴 BoliviaBOL75
33🇱🇻 LatviaLVA74
34🇦🇹 AustriaAUT74
35🇧🇧 BarbadosBRB74
36🇦🇴 AngolaAGO74
37🇲🇹 MaltaMLT74
38🇭🇺 HungaryHUN74
39🇬🇧 UKGBR74
40🇮🇪 IrelandIRL74
41🇱🇷 LiberiaLBR73
42🇸🇮 SloveniaSVN73
43🇲🇩 MoldovaMDA73
44🇸🇰 SlovakiaSVK73
45🇮🇱 IsraelISR73
46🇺🇾 UruguayURY71
47🇸🇬 SingaporeSGP71
48🇫🇷 FranceFRA71
49🇷🇺 RussiaRUS71
50🇨🇿 CzechiaCZE71
51🇱🇺 LuxembourgLUX71
52🇱🇨 Saint LuciaLCA71
53🇪🇸 SpainESP71
54🇧🇬 BulgariaBGR70
55🇵🇪 PeruPER70
56🇨🇳 ChinaCHN69
57🇵🇱 PolandPOL69
58🇺🇸 U.S.USA69
59🇦🇲 ArmeniaARM69
60🇹🇭 ThailandTHA68
61🇦🇿 AzerbaijanAZE68
62🇲🇴 MacaoMAC68
63🇧🇼 BotswanaBWA67
64🇨🇬 CongoCOG67
65🇧🇪 BelgiumBEL67
66🇹🇼 TaiwanTWN67
67🇯🇲 JamaicaJAM67
68🇭🇷 CroatiaHRV67
69🇬🇺 GuamGUM67
70🇷🇸 SerbiaSRB66
71🇨🇫 Central African RepublicCAF66
72🇭🇰 Hong KongHKG66
73🇯🇪 Channel IslandsCHI65
74🇦🇱 AlbaniaALB65
75🇶🇦 QatarQAT65
76🇻🇨 Saint Vincent and the GrenadinesVCT65
77🇻🇮 U.S. Virgin IslandsVIR65
78🇱🇦 LaosLAO65
79🇰🇷 South KoreaKOR64
80🇲🇼 MalawiMWI64
81🇨🇩 DRCCOD63
82🇬🇭 GhanaGHA63
83🇵🇾 ParaguayPRY63
84🇰🇪 KenyaKEN63
85🇦🇷 ArgentinaARG62
86🇬🇷 GreeceGRC62
87🇭🇹 HaitiHTI62
88🇬🇪 GeorgiaGEO61
89🇨🇱 ChileCHL61
90🇹🇱 Timor-LesteTLS61
91🇧🇷 BrazilBRA61
92🇳🇪 NigerNER61
93🇿🇼 ZimbabweZWE61
94🇷🇼 RwandaRWA60
95🇨🇮 Côte d'IvoireCIV60
96🇳🇨 New CaledoniaNCL60
97🇲🇱 MaliMLI60
98🇧🇹 BhutanBTN59
99🇪🇹 EthiopiaETH59
100🇹🇹 Trinidad & TobagoTTO59
101🇩🇴 Dominican RepublicDOM59
102🇵🇦 PanamaPAN59
103🇧🇳 Brunei DarussalamBRN58
104🇮🇹 ItalyITA58
105🇿🇦 South AfricaZAF58
106🇨🇴 ColombiaCOL58
107🇹🇬 TogoTGO57
108🇷🇴 RomaniaROU57
109🇳🇦 NamibiaNAM57
110🇲🇳 MongoliaMNG57
111🇰🇬 KyrgyzstanKGZ57
112🇨🇲 CameroonCMR57
113🇲🇾 MalaysiaMYS57
114🇦🇪 UAEARE56
115🇨🇻 Cabo VerdeCPV56
116🇬🇼 Guinea-BissauGNB56
117🇪🇨 EcuadorECU56
118🇻🇺 VanuatuVUT56
119🇮🇩 IndonesiaIDN55
120🇲🇰 North MacedoniaMKD54
121🇿🇲 ZambiaZMB54
122🇬🇶 Equatorial GuineaGNQ54
123🇲🇪 MontenegroMNE53
124🇳🇮 NicaraguaNIC53
125🇹🇲 TurkmenistanTKM53
126🇵🇫 French PolynesiaPYF53
127🇧🇦 Bosnia & HerzegovinaBIH53
128🇸🇱 Sierra LeoneSLE52
129🇧🇿 BelizeBLZ52
130🇲🇽 MexicoMEX52
131🇵🇭 PhilippinesPHL52
132🇵🇬 Papua New GuineaPNG51
133🇲🇺 MauritiusMUS51
134🇸🇻 El SalvadorSLV51
135🇰🇼 KuwaitKWT51
136🇨🇷 Costa RicaCRI51
137🇱🇸 LesothoLSO51
138🇸🇷 SurinameSUR51
139🇨🇺 CubaCUB49
140🇹🇩 ChadTCD49
141🇸🇿 EswatiniSWZ48
142🇧🇩 BangladeshBGD48
143🇬🇲 GambiaGMB47
144🇧🇭 BahrainBHR45
145🇲🇲 MyanmarMMR45
146🇵🇷 Puerto RicoPRI45
147🇹🇴 TongaTON44
148🇬🇾 GuyanaGUY44
149🇰🇲 ComorosCOM44
150🇺🇿 UzbekistanUZB44
151🇲🇻 MaldivesMDV43
152🇬🇦 GabonGAB43
153🇬🇳 GuineaGIN43
154🇹🇷 TürkiyeTUR42
155🇬🇹 GuatemalaGTM42
156🇧🇫 Burkina FasoBFA42
157🇻🇪 VenezuelaVEN42
158🇭🇳 HondurasHND41
159🇫🇯 FijiFJI41
160🇸🇳 SenegalSEN38
161🇸🇦 Saudi ArabiaSAU36
162🇱🇰 Sri LankaLKA36
163🇮🇳 IndiaIND35
164🇱🇾 LibyaLBY35
165🇹🇯 TajikistanTJK33
166🇪🇭 Western SaharaESH33
167🇼🇸 SamoaWSM33
168🇴🇲 OmanOMN32
169🇹🇳 TunisiaTUN30
170🇳🇵 NepalNPL30
171🇲🇷 MauritaniaMRT27
172🇵🇰 PakistanPAK26
173🇸🇹 Sao Tome and PrincipeSTP23
174🇸🇴 SomaliaSOM22
175🇲🇦 MoroccoMAR21
176🇩🇯 DjiboutiDJI20
177🇪🇬 EgyptEGY16
178🇩🇿 AlgeriaDZA15
179🇯🇴 JordanJOR15
180🇮🇷 IranIRN15
181🇸🇾 SyriaSYR14
182🇮🇶 IraqIRQ11
183🇦🇫 AfghanistanAFG5
184🇾🇪 YemenYEM5
N/A🌍 WorldWRLD55

Meanwhile, many middle income countries (India, Nepal) only have one-third of eligible working age women actively employed or looking for work.

This trend solidifies when looking at middle income countries where culturally, women are expected to place familial duties above outside professional or personal ones (Egypt, 16%).

Economic Development and Women Working

In low-income countries, women often work in subsistence agriculture, where labor is crucial for survival.

Then, in middle income countries, labor moves away from survival and towards industry. Here, societal norms may discourage women from working.

But coming around, in high-income countries, education, childcare services, and a services-based economy broaden opportunities for women to work.

Learn More on the Voronoi App

Part of Europe’s higher women workforce participation rate is the effect it has on children being born, as the opportunity cost of not working rises. Check out creator Arcioman’s Mapped: When Does a Woman Have Her First Child to see correlations.

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