🇮🇳 India Niñas en edad escolar (primaria) fuera de la escuela — Historical Data

World Bank data • 201720171 data points

Latest Value
4.69
2017
Year-on-Year
N/A
10-Year Average
4.69
20082017
Range
4.69 (2017)
4.69 (2017)

India Niñas en edad escolar (primaria) fuera de la escuela2017 to 2017

Loading chart...

About this Indicator

The share of female children of primary-school age who are out of school or schooling deprived. This dimension is linked to the indicator 4.1.4 from the SDG 4 thematic framework. This element reflects the belief that all primary-age children should be learning in schools of some type, a belief that every country has enshrined in law and that is enshrined in the SDGs. In addition to fulfilling a universal right and serving as a necessary condition for sustained learning, schooling offers many benefits beyond learning. It contributes to children’s health and well-being such as promoting safety, nutrition, and socialization, and facilitating parents' labor market participation and, at the macro level, schooling can help build social cohesion, democracy, and peace. All those complementary functions mean that schooling has value over and above the measured cognitive learning that it leads to, and they justify including schooling deprivation in the concept of learning poverty.

Historical Data Table

YearValue
20174.69

🔗 Embed this chart

Copy and paste this code to embed the chart on your website:

<iframe src="https://nationstat.com/es/country/india/female-primary-school-age-children-out-of-school" width="800" height="500" frameborder="0"></iframe>

Compare with Other Countries

🇦🇪Emiratos Árabes Unidos
1.262021
🇦🇷Argentina
0.522013
🇦🇲Armenia
9.352019
🇦🇺Australia
3.122021
🇦🇿Azerbaiyán
7.572021
🇧🇮Burundi
5.172019
🇧🇪Bélgica
0.752021
🇧🇫Burkina Faso
21.572019
🇧🇩Bangladesh
2.192022
🇧🇬Bulgaria
11.862021
🇧🇭Baréin
2.812021
🇧🇿Belice
6.662001
🇧🇼Botsuana
10.722011
🇨🇦Canadá
0.042016
🇨🇱Chile
5.212019
🇨🇮Costa de Marfil
9.202019
🇨🇲Camerún
11.282019
🇨🇩Congo, Rep. Dem.
64.112019
🇨🇬Congo, Rep.
6.862019
🇨🇴Colombia
1.752013
🇨🇷Costa Rica
1.102013
🇨🇾Chipre
1.782021
🇩🇰Dinamarca
1.142021
🇩🇴República Dominicana
5.922013
🇩🇿Argelia
5.052007
🇪🇸España
2.292021
🇫🇮Finlandia
1.182021
🇫🇷Francia
0.532021
🇬🇦Gabón
9.172019
🇬🇧Reino Unido
0.572021
🇬🇪Georgia
0.792021
🇬🇳Guinea
29.382019
🇬🇷Grecia
2.172001
🇬🇹Guatemala
10.472013
🇭🇳Honduras
18.622013
🇭🇺Hungría
3.412021
🇮🇩Indonesia
7.402015
🇮🇳India
4.692017
🇮🇪Irlanda
0.122021
🇮🇷Irán
0.232021
🇮🇸Islandia
3.122006
🇮🇹Italia
2.862021
🇯🇴Jordania
19.742021
🇯🇵Japón
1.602019
🇰🇿Kazajstán
1.232021
🇰🇪Kenia
16.982023
🇰🇭Camboya
9.372019
🇰🇷Corea del Sur
2.502019
🇰🇼Kuwait
1.502016
🇱🇦Laos
9.352019
🇱🇹Lituania
0.402021
🇱🇺Luxemburgo
1.192006
🇱🇻Letonia
2.182021
🇲🇴Macao SAR, China
3.532021
🇲🇦Marruecos
0.842021
🇲🇽México
0.832013
🇲🇰Macedonia del Norte
4.242021
🇲🇱Malí
37.712012
🇲🇹Malta
0.452021
🇲🇳Mongolia
2.142007
🇲🇾Malasia
0.482019
🇳🇪Níger
1002019
🇳🇮Nicaragua
2.402013
🇳🇱Países Bajos
0.532021
🇳🇴Noruega
0.122021
🇳🇿Nueva Zelanda
0.822021
🇵🇰Pakistán
37.912019
🇵🇦Panamá
13.532013
🇵🇪Perú
1.502013
🇵🇭Filipinas
4.812019
🇵🇱Polonia
2.722021
🇵🇹Portugal
2.652021
🇵🇾Paraguay
12.022013
🇶🇦Qatar
0.542021
🇷🇴Rumania
4.682011
🇸🇦Arabia Saudita
5.032021
🇸🇳Senegal
19.242019
🇸🇬Singapur
0.032021
🇸🇻El Salvador
17.882006
🇷🇸Serbia
1.582021
🇸🇰Eslovaquia
15.832021
🇸🇪Suecia
0.582021
🇹🇩Chad
35.702019
🇹🇬Togo
7.812019
🇹🇭Tailandia
2.152011
🇹🇹Trinidad y Tabago
1.562016
🇹🇳Túnez
1.182011
🇹🇷Turquía
5.482021
🇺🇦Ucrania
11.902007
🇺🇾Uruguay
0.362013
🇺🇸Estados Unidos
4.492021
🇻🇳Vietnam
0.002019
🌐Kosovo
0.002021
🇾🇪Yemen
25.962011
🇿🇦Sudáfrica
5.332021
See all countries for this indicator →