🇮🇳 India Labor force with advanced education, male (% of male working-age population with advanced education) — Historical Data
World Bank data • 1994–2024 • 12 data points • Social Protection & Labor
Latest Value
86.83
2024
Year-on-Year
+1.6%
vs 2023
10-Year Average
83.70
2015–2024
Range
▲ 87.24 (1994)
▼ 80.84 (2018)
India Labor force with advanced education, male (% of male working-age population with advanced education) — 1994 to 2024
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About this Indicator
The ratio of the labor force with advanced education to the working-age population with advanced education. Advanced education comprises short-cycle tertiary education, a bachelor’s degree or equivalent education level, a master’s degree or equivalent education level, or doctoral degree or equivalent education level according to the International Standard Classification of Education 2011 (ISCED 2011).
Historical Data Table
| Year | Value |
|---|---|
| 2024 | 86.83 |
| 2023 | 85.44 |
| 2022 | 84.53 |
| 2021 | 83.57 |
| 2020 | 81.93 |
| 2019 | 81.81 |
| 2018 | 80.84 |
| 2012 | 83.30 |
| 2010 | 82.48 |
| 2005 | 86.24 |
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<iframe src="https://nationstat.com/en/country/india/labor-force-with-advanced-education-male-of-male-working-age-population-with-advanced-education" width="800" height="500" frameborder="0"></iframe>Compare with Other Countries
🇦🇫Afghanistan
73.452021
🇦🇴Angola
93.442021
🇦🇱Albania
80.412023
🇦🇪United Arab Emirates
94.782023
🇦🇷Argentina
85.312024
🇦🇲Armenia
83.232023
🇦🇬Antigua and Barbuda
91.182018
🇦🇺Australia
82.232024
🇦🇹Austria
76.912024
🇧🇮Burundi
63.532020
🇧🇪Belgium
76.932024
🇧🇯Benin
80.002022
🇧🇫Burkina Faso
76.562024
🇧🇩Bangladesh
88.712024
🇧🇬Bulgaria
79.302024
🇧🇸Bahamas, The
98.322023
🇧🇦Bosnia and Herzegovina
82.862024
🇧🇾Belarus
86.122024
🇧🇿Belize
90.102019
🇧🇴Bolivia
91.952024
🇧🇷Brazil
88.032024
🇧🇧Barbados
76.222023
🇧🇳Brunei Darussalam
84.082024
🇧🇹Bhutan
78.002024
🇧🇼Botswana
80.192024
🇨🇦Canada
76.452024
🇨🇭Switzerland
80.522024
🇨🇱Chile
89.942024
🇨🇳China
74.752000
🇨🇮Cote d'Ivoire
78.422022
🇨🇲Cameroon
38.842021
🇨🇩Congo, Dem. Rep.
68.162020
🇨🇬Congo, Rep.
31.802009
🇨🇴Colombia
87.002024
🇰🇲Comoros
84.842021
🇨🇻Cabo Verde
71.682019
🇨🇷Costa Rica
75.472024
🇨🇺Cuba
85.162012
🇨🇼Curacao
70.982018
🇰🇾Cayman Islands
88.712015
🇨🇾Cyprus
84.552024
🇨🇿Czechia
82.212024
🇩🇪Germany
72.992024
🇩🇯Djibouti
77.472017
🇩🇰Denmark
80.912024
🇩🇴Dominican Republic
88.362024
🇪🇨Ecuador
81.912024
🇪🇬Egypt, Arab Rep.
82.782024
🇪🇸Spain
79.212024
🇪🇪Estonia
81.942024
🇪🇹Ethiopia
94.652021
🇫🇮Finland
74.892024
🇫🇯Fiji
87.082024
🇫🇷France
78.842024
🇫🇲Micronesia, Fed. Sts.
85.872014
🇬🇧United Kingdom
87.782024
🇬🇪Georgia
82.542024
🇬🇭Ghana
63.902022
🇬🇳Guinea
83.162019
🇬🇲Gambia, The
56.592023
🇬🇼Guinea-Bissau
83.572022
🇬🇷Greece
74.412024
🇬🇩Grenada
84.152023
🇬🇹Guatemala
89.972024
🇬🇾Guyana
82.412019
🇭🇰Hong Kong SAR, China
76.272024
🇭🇳Honduras
87.322024
🇭🇷Croatia
71.772024
🇭🇹Haiti
78.152012
🇭🇺Hungary
79.762024
🇮🇩Indonesia
89.102023
🇮🇳India
86.832024
🇮🇪Ireland
86.322024
🇮🇷Iran, Islamic Rep.
71.012024
🇮🇶Iraq
82.612021
🇮🇸Iceland
89.152024
🇮🇱Israel
82.772024
🇮🇹Italy
77.682024
🇯🇲Jamaica
76.532023
🇯🇴Jordan
70.702023
🇯🇵Japan
85.142020
🇰🇪Kenya
67.972022
🇰🇬Kyrgyz Republic
87.012018
🇰🇭Cambodia
83.982023
🇰🇮Kiribati
87.562023
🇰🇷Korea, Rep.
80.312024
🇰🇼Kuwait
88.262016
🇱🇦Lao PDR
79.222022
🇱🇧Lebanon
71.322019
🇱🇷Liberia
76.752017
🇱🇨St. Lucia
80.722024
🇱🇰Sri Lanka
81.732023
🇱🇸Lesotho
89.612024
🇱🇹Lithuania
85.562024
🇱🇺Luxembourg
81.512024
🇱🇻Latvia
81.832024
🇲🇴Macao SAR, China
93.362016
🇲🇦Morocco
75.202022
🇲🇨Monaco
62.972016
🇲🇩Moldova
77.242024
🇲🇬Madagascar
75.722015
🇲🇻Maldives
95.682019
🇲🇽Mexico
85.062024
🇲🇭Marshall Islands
85.312021
🇲🇰North Macedonia
72.992024
🇲🇱Mali
76.052023
🇲🇹Malta
90.482024
🇲🇲Myanmar
90.352020
🇲🇪Montenegro
88.642023
🇲🇳Mongolia
84.822024
🇲🇿Mozambique
85.642022
🇲🇷Mauritania
78.162019
🇲🇺Mauritius
78.262024
🇲🇼Malawi
75.522024
🇲🇾Malaysia
84.902022
🇳🇦Namibia
82.332018
🇳🇨New Caledonia
88.532023
🇳🇪Niger
79.162022
🇳🇬Nigeria
76.842024
🇳🇮Nicaragua
91.092014
🇳🇱Netherlands
80.812024
🇳🇴Norway
82.152024
🇳🇵Nepal
73.912017
🇳🇷Nauru
88.602021
🇳🇿New Zealand
86.252020
🇴🇲Oman
91.942021
🇵🇰Pakistan
86.952025
🇵🇦Panama
84.162024
🇵🇪Peru
86.832024
🇵🇭Philippines
71.952023
🇵🇼Palau
79.512023
🇵🇬Papua New Guinea
80.342022
🇵🇱Poland
84.962024
🇵🇷Puerto Rico (US)
70.102020
🇵🇹Portugal
84.102024
🇵🇾Paraguay
92.362017
🌐West Bank and Gaza
87.052024
🇶🇦Qatar
97.642021
🇷🇴Romania
82.452024
🇷🇺Russian Federation
85.932024
🇷🇼Rwanda
79.832024
🇸🇦Saudi Arabia
93.292024
🇸🇩Sudan
51.712022
🇸🇳Senegal
64.982024
🇸🇬Singapore
87.322024
🇸🇧Solomon Islands
96.432013
🇸🇱Sierra Leone
78.002018
🇸🇻El Salvador
88.202024
🇸🇲San Marino
77.522022
🇸🇴Somalia, Fed. Rep.
52.492022
🇷🇸Serbia
74.692024
🇸🇸South Sudan
93.342008
🇸🇹Sao Tome and Principe
42.572017
🇸🇷Suriname
84.342016
🇸🇰Slovak Republic
80.182024
🇸🇮Slovenia
78.852024
🇸🇪Sweden
80.172024
🇸🇿Eswatini
75.712023
🇸🇨Seychelles
89.362024
🇹🇩Chad
73.222018
🇹🇬Togo
85.782022
🇹🇭Thailand
82.852024
🇹🇯Tajikistan
70.352016
🇹🇱Timor-Leste
56.052022
🇹🇴Tonga
81.522023
🇹🇹Trinidad and Tobago
70.202024
🇹🇳Tunisia
84.822023
🇹🇷Turkiye
85.862024
🇹🇻Tuvalu
78.022022
🇹🇿Tanzania
95.212024
🇺🇬Uganda
91.582021
🇺🇦Ukraine
74.932021
🇺🇾Uruguay
86.192024
🇺🇸United States
75.502024
🇺🇿Uzbekistan
78.082020
🇻🇪Venezuela, RB
81.052017
🇻🇳Viet Nam
88.392024
🇻🇺Vanuatu
80.282020
🇼🇸Samoa
77.852022
🌐Kosovo
77.302024
🇾🇪Yemen, Rep.
90.752014
🇿🇦South Africa
83.712024
🇿🇲Zambia
88.462023
🇿🇼Zimbabwe
73.892024
📊 Related Indicators
Child employment in agriculture, female (% of female economically active children ages 7-14)
68.6
2012
Child employment in agriculture, male (% of male economically active children ages 7-14)
47.7
2012
Benefit incidence of social insurance programs to poorest quintile (% of total social insurance benefits)
21.3
2011
Benefit incidence of social protection and labor programs to poorest quintile (% of total SPL benefits)
16.6
2011
Benefit incidence of social safety net programs to poorest quintile (% of total safety net benefits)
15.1
2011