🇨🇳 China Labor force with advanced education (% of total working-age population with advanced education) — Historical Data
World Bank data • 2000–2000 • 1 data points • Social Protection & Labor
Latest Value
73.35
2000
Year-on-Year
N/A
10-Year Average
73.35
1991–2000
Range
▲ 73.35 (2000)
▼ 73.35 (2000)
China Labor force with advanced education (% of total working-age population with advanced education) — 2000 to 2000
Loading chart...
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 |
|---|---|
| 2000 | 73.35 |
🔗 Embed this chart
Copy and paste this code to embed the chart on your website:
<iframe src="https://nationstat.com/en/country/china/labor-force-with-advanced-education-of-total-working-age-population-with-advanced-education" width="800" height="500" frameborder="0"></iframe>Compare with Other Countries
🇦🇫Afghanistan
64.052021
🇦🇴Angola
92.782021
🇦🇱Albania
82.062023
🇦🇪United Arab Emirates
77.892023
🇦🇷Argentina
78.582024
🇦🇲Armenia
72.332023
🇦🇬Antigua and Barbuda
84.912018
🇦🇺Australia
79.452024
🇦🇹Austria
77.072024
🇧🇮Burundi
59.162020
🇧🇪Belgium
75.742024
🇧🇯Benin
76.052022
🇧🇫Burkina Faso
72.832024
🇧🇩Bangladesh
74.862024
🇧🇬Bulgaria
75.892024
🇧🇸Bahamas, The
98.772023
🇧🇦Bosnia and Herzegovina
82.572024
🇧🇾Belarus
83.692024
🇧🇿Belize
85.432019
🇧🇴Bolivia
86.862024
🇧🇷Brazil
82.272024
🇧🇧Barbados
79.212023
🇧🇳Brunei Darussalam
81.522024
🇧🇹Bhutan
71.592024
🇧🇼Botswana
78.802024
🇨🇦Canada
73.462024
🇨🇭Switzerland
80.042024
🇨🇱Chile
84.842024
🇨🇳China
73.352000
🇨🇮Cote d'Ivoire
73.752022
🇨🇲Cameroon
32.472021
🇨🇩Congo, Dem. Rep.
61.022020
🇨🇬Congo, Rep.
36.482009
🇨🇴Colombia
81.042024
🇰🇲Comoros
78.322021
🇨🇻Cabo Verde
69.772019
🇨🇷Costa Rica
72.342024
🇨🇺Cuba
81.782012
🇨🇼Curacao
77.612020
🇰🇾Cayman Islands
85.952015
🇨🇾Cyprus
82.472024
🇨🇿Czechia
77.392024
🇩🇪Germany
72.832024
🇩🇯Djibouti
70.782017
🇩🇰Denmark
78.622024
🇩🇴Dominican Republic
83.162024
🇪🇨Ecuador
77.162024
🇪🇬Egypt, Arab Rep.
66.732024
🇪🇸Spain
78.812024
🇪🇪Estonia
77.962024
🇪🇹Ethiopia
91.612021
🇫🇮Finland
73.582024
🇫🇯Fiji
79.902024
🇫🇷France
77.402024
🇫🇲Micronesia, Fed. Sts.
82.012014
🇬🇧United Kingdom
85.352024
🇬🇪Georgia
75.112024
🇬🇭Ghana
59.772022
🇬🇳Guinea
79.512019
🇬🇲Gambia, The
56.422023
🇬🇼Guinea-Bissau
80.992022
🇬🇷Greece
74.322024
🇬🇩Grenada
78.642023
🇬🇹Guatemala
87.262024
🇬🇾Guyana
79.312019
🇭🇰Hong Kong SAR, China
73.162024
🇭🇳Honduras
81.532024
🇭🇷Croatia
74.672024
🇭🇹Haiti
70.922012
🇭🇺Hungary
77.832024
🇮🇩Indonesia
81.422023
🇮🇳India
65.312024
🇮🇪Ireland
82.852024
🇮🇷Iran, Islamic Rep.
54.152024
🇮🇶Iraq
74.712021
🇮🇸Iceland
86.492024
🇮🇱Israel
79.652024
🇮🇹Italy
75.942024
🇯🇲Jamaica
76.732023
🇯🇴Jordan
59.392023
🇯🇵Japan
78.632020
🇰🇪Kenya
62.102022
🇰🇬Kyrgyz Republic
73.662018
🇰🇭Cambodia
80.532023
🇰🇮Kiribati
85.162023
🇰🇷Korea, Rep.
74.662024
🇰🇼Kuwait
72.732016
🇱🇦Lao PDR
77.912022
🇱🇧Lebanon
60.792019
🇱🇷Liberia
74.852017
🇱🇨St. Lucia
73.212024
🇱🇰Sri Lanka
80.982023
🇱🇸Lesotho
86.332024
🇱🇹Lithuania
81.432024
🇱🇺Luxembourg
80.652024
🇱🇻Latvia
77.892024
🇲🇴Macao SAR, China
90.792016
🇲🇦Morocco
68.172022
🇲🇨Monaco
57.982016
🇲🇩Moldova
75.132024
🇲🇬Madagascar
69.242015
🇲🇻Maldives
92.322019
🇲🇽Mexico
78.302024
🇲🇭Marshall Islands
84.372021
🇲🇰North Macedonia
75.082024
🇲🇱Mali
65.302023
🇲🇹Malta
88.412024
🇲🇲Myanmar
69.632020
🇲🇪Montenegro
88.472023
🇲🇳Mongolia
76.472024
🇲🇿Mozambique
85.662022
🇲🇷Mauritania
70.672019
🇲🇺Mauritius
79.082024
🇲🇼Malawi
71.142024
🇲🇾Malaysia
77.922022
🇳🇦Namibia
79.012018
🇳🇨New Caledonia
86.202023
🇳🇪Niger
72.542022
🇳🇬Nigeria
74.182024
🇳🇮Nicaragua
85.642014
🇳🇱Netherlands
80.022024
🇳🇴Norway
80.132024
🇳🇵Nepal
67.672017
🇳🇷Nauru
87.952021
🇳🇿New Zealand
83.422020
🇴🇲Oman
77.172021
🇵🇰Pakistan
68.392025
🇵🇦Panama
78.522024
🇵🇪Peru
83.962024
🇵🇭Philippines
68.062023
🇵🇼Palau
79.392023
🇵🇬Papua New Guinea
79.072022
🇵🇱Poland
82.012024
🇵🇷Puerto Rico (US)
64.882020
🇵🇹Portugal
83.412024
🇵🇾Paraguay
86.782017
🌐West Bank and Gaza
68.712024
🇶🇦Qatar
88.882021
🇷🇴Romania
82.152024
🇷🇺Russian Federation
80.552024
🇷🇼Rwanda
76.492024
🇸🇦Saudi Arabia
78.192024
🇸🇩Sudan
36.342022
🇸🇳Senegal
59.632024
🇸🇬Singapore
84.842024
🇸🇧Solomon Islands
94.792013
🇸🇱Sierra Leone
73.472018
🇸🇻El Salvador
77.332024
🇸🇲San Marino
77.182022
🇸🇴Somalia, Fed. Rep.
41.452022
🇷🇸Serbia
75.142024
🇸🇸South Sudan
91.812008
🇸🇹Sao Tome and Principe
39.432017
🇸🇷Suriname
81.642016
🇸🇰Slovak Republic
80.382024
🇸🇮Slovenia
79.702024
🇸🇪Sweden
78.212024
🇸🇿Eswatini
73.352023
🇸🇨Seychelles
86.192024
🇹🇩Chad
67.772018
🇹🇬Togo
83.912022
🇹🇭Thailand
81.122024
🇹🇯Tajikistan
64.272016
🇹🇱Timor-Leste
46.642022
🇹🇴Tonga
80.402023
🇹🇹Trinidad and Tobago
69.982024
🇹🇳Tunisia
78.952023
🇹🇷Turkiye
77.522024
🇹🇻Tuvalu
80.912022
🇹🇿Tanzania
93.102024
🇺🇬Uganda
87.252021
🇺🇦Ukraine
66.512021
🇺🇾Uruguay
81.472024
🇺🇸United States
71.592024
🇺🇿Uzbekistan
72.692020
🇻🇪Venezuela, RB
74.142017
🇻🇳Viet Nam
87.762024
🇻🇺Vanuatu
79.062020
🇼🇸Samoa
69.242022
🌐Kosovo
72.782024
🇾🇪Yemen, Rep.
85.362014
🇿🇦South Africa
80.842024
🇿🇲Zambia
85.622023
🇿🇼Zimbabwe
67.252024
📊 Related Indicators
Adequacy of social insurance programs (% of total welfare of beneficiary households)
55.3
2013
Adequacy of social protection and labor programs (% of total welfare of beneficiary households)
36.8
2013
Benefit incidence of social safety net programs to poorest quintile (% of total safety net benefits)
24.2
2013
Contributing family workers, female (% of female employment) (modeled ILO estimate)
12.3
2025
Contributing family workers, male (% of male employment) (modeled ILO estimate)
4.8
2025