Data Explorer- EGER: Evidence for Gender and Education Resource

Adjust Results

Welcome to Power in Numbers! To explore these data on gender and education, you can choose from preset questions to view a curated, pre-generated table. Or create and adjust your own table by adding filters using the Adjust Results tab (on the right). Sort by any column using the arrows to the right of the column header. Export the table you've created to download the data.

Learn more

			Education Outcomes: Enrolment & Attainment outcomes						Contextual Influences
			Adjusted net attendance rates						Community-level
			Adjusted net attendance rate for adolescents of lower secondary school age (%)			Adjusted net attendance rate for adolescents of upper secondary school age (%)			Control over earnings - Among currently married or in union women aged 15-49 employed in the past year and earning cash, the percent who decides how those earnings are used (%)
Country	Region	Income level	Female	Male	Gap	Female	Male	Gap	Female
Angola	Sub-Saharan Africa	Lower middle income	30.80	32.20	1.40	28.10	32.10	4.00	40.20
Benin	Sub-Saharan Africa	Lower middle income	28.10	32.50	4.40	9.00	14.80	5.80	73.30
Botswana	Sub-Saharan Africa	Upper middle income	-	-	-	-	-	-	-
Burkina Faso	Sub-Saharan Africa	Low income	-	-	-	-	-	-	78.40
Burundi	Sub-Saharan Africa	Low income	27.40	21.10	-6.30	11.50	12.60	1.00	21.20
Cabo Verde	Sub-Saharan Africa	Lower middle income	-	-	-	-	-	-	-
Cameroon	Sub-Saharan Africa	Lower middle income	53.20	51.50	-1.70	27.40	28.00	0.60	53.80
Central African Republic	Sub-Saharan Africa	Low income	12.60	14.00	1.50	4.30	6.50	2.20	-
Chad	Sub-Saharan Africa	Low income	12.00	16.60	4.60	4.90	8.40	3.50	71.00
Comoros	Sub-Saharan Africa	Lower middle income	52.30	44.70	-7.60	28.70	25.30	-3.40	39.60
Congo	Sub-Saharan Africa	Lower middle income	67.20	62.20	-5.00	35.10	37.80	2.60	64.70
Côte d'Ivoire	Sub-Saharan Africa	Lower middle income	37.60	42.80	5.30	13.50	20.20	6.70	68.50
Democratic Republic of the Congo	Sub-Saharan Africa	Low income	31.50	32.50	1.00	32.90	35.90	3.00	28.60
Equatorial Guinea	Sub-Saharan Africa	Upper middle income	-	-	-	-	-	-	-
Eritrea	Sub-Saharan Africa	Low income	-	-	-	-	-	-	56.20
Eswatini	Sub-Saharan Africa	Lower middle income	-	-	-	-	-	-	65.10
Ethiopia	Sub-Saharan Africa	Low income	29.30	25.20	-4.10	9.00	6.70	-2.30	29.80
Gabon	Sub-Saharan Africa	Upper middle income	58.50	50.60	-7.90	18.60	13.00	-5.60	50.30
Gambia, The	Sub-Saharan Africa	Low income	49.70	38.20	-11.50	-	-	-	84.70
Ghana	Sub-Saharan Africa	Lower middle income	44.10	37.60	-6.40	19.30	19.90	0.70	62.80
Guinea	Sub-Saharan Africa	Lower middle income	29.00	35.10	6.10	11.20	14.60	3.40	72.90
Guinea-Bissau	Sub-Saharan Africa	Low income	8.90	10.30	1.40	7.30	6.50	-0.80	-
Kenya	Sub-Saharan Africa	Lower middle income	46.30	38.20	-8.10	36.80	34.30	-2.50	55.20
Lesotho	Sub-Saharan Africa	Lower middle income	66.90	42.30	-24.60	30.40	14.90	-15.50	33.10
Liberia	Sub-Saharan Africa	Low income	14.60	13.60	-1.00	11.30	11.70	0.40	26.20
Madagascar	Sub-Saharan Africa	Low income	31.50	23.00	-8.50	14.10	11.40	-2.70	30.30
Malawi	Sub-Saharan Africa	Low income	30.80	25.20	-5.60	18.40	16.70	-1.70	28.40
Mali	Sub-Saharan Africa	Low income	30.40	36.30	5.90	14.30	20.40	6.10	82.50
Mauritania	Sub-Saharan Africa	Lower middle income	26.90	30.30	3.40	18.00	22.30	4.30	62.90
Mauritius	Sub-Saharan Africa	Upper middle income	-	-	-	-	-	-	-
Mozambique	Sub-Saharan Africa	Low income	-	-	-	-	-	-	39.10
Namibia	Sub-Saharan Africa	Upper middle income	67.40	53.50	-13.90	28.10	20.20	-7.90	39.50
Niger	Sub-Saharan Africa	Low income	16.80	21.40	4.60	2.80	5.50	2.70	85.40
Nigeria	Sub-Saharan Africa	Lower middle income	44.90	44.70	-0.20	35.00	34.00	-1.00	72.30
Rwanda	Sub-Saharan Africa	Low income	33.90	25.30	-8.60	17.20	12.50	-4.70	23.30
Sao Tome and Principe	Sub-Saharan Africa	Lower middle income	60.50	50.30	-10.20	34.30	25.20	-9.00	74.00
Senegal	Sub-Saharan Africa	Lower middle income	32.50	29.40	-3.20	17.80	16.80	-1.10	81.00
Sierra Leone	Sub-Saharan Africa	Low income	36.30	36.20	-0.10	27.50	29.90	2.40	36.60
Somalia	Sub-Saharan Africa	Low income	-	-	-	-	-	-	-
South Africa	Sub-Saharan Africa	Upper middle income	88.80	81.60	-7.20	72.30	67.20	-5.00	31.20
South Sudan	Sub-Saharan Africa	Low income	-	-	-	-	-	-	-
Sudan	Sub-Saharan Africa	Low income	32.00	30.50	-1.50	30.30	27.80	-2.50	-
Togo	Sub-Saharan Africa	Low income	50.50	55.60	5.10	20.40	26.70	6.30	90.00
Uganda	Sub-Saharan Africa	Low income	20.50	18.20	-2.30	7.10	8.60	1.50	52.60
United Republic of Tanzania	Sub-Saharan Africa	Lower middle income	30.50	25.00	-5.50	3.00	3.20	0.20	37.30
Zambia	Sub-Saharan Africa	Lower middle income	46.20	45.40	-0.80	28.60	29.80	1.20	31.00
Zimbabwe	Sub-Saharan Africa	Lower middle income	59.70	43.80	-15.90	36.40	37.30	0.90	32.40

Angola

Region	Income Level
Sub-Saharan Africa	Lower middle income

Adjusted net attendance rate for adolescents of lower secondary school age (%)

Female	Male	Gap
30.80	32.20	1.40

Adjusted net attendance rate for adolescents of upper secondary school age (%)

Female	Male	Gap
28.10	32.10	4.00

Control over earnings - Among currently married or in union women aged 15-49 employed in the past year and earning cash, the percent who decides how those earnings are used (%)

Female
40.20

Benin

Region	Income Level
Sub-Saharan Africa	Lower middle income

Adjusted net attendance rate for adolescents of lower secondary school age (%)

Female	Male	Gap
28.10	32.50	4.40

Adjusted net attendance rate for adolescents of upper secondary school age (%)

Female	Male	Gap
9.00	14.80	5.80

Control over earnings - Among currently married or in union women aged 15-49 employed in the past year and earning cash, the percent who decides how those earnings are used (%)

Female
73.30

Botswana

Region	Income Level
Sub-Saharan Africa	Upper middle income

Adjusted net attendance rate for adolescents of lower secondary school age (%)

Female	Male	Gap
-	-	-

Adjusted net attendance rate for adolescents of upper secondary school age (%)

Female	Male	Gap
-	-	-

Control over earnings - Among currently married or in union women aged 15-49 employed in the past year and earning cash, the percent who decides how those earnings are used (%)

Female
-

Burkina Faso

Region	Income Level
Sub-Saharan Africa	Low income

Adjusted net attendance rate for adolescents of lower secondary school age (%)

Female	Male	Gap
-	-	-

Adjusted net attendance rate for adolescents of upper secondary school age (%)

Female	Male	Gap
-	-	-

Control over earnings - Among currently married or in union women aged 15-49 employed in the past year and earning cash, the percent who decides how those earnings are used (%)

Female
78.40

Burundi

Region	Income Level
Sub-Saharan Africa	Low income

Adjusted net attendance rate for adolescents of lower secondary school age (%)

Female	Male	Gap
27.40	21.10	-6.30

Adjusted net attendance rate for adolescents of upper secondary school age (%)

Female	Male	Gap
11.50	12.60	1.00

Control over earnings - Among currently married or in union women aged 15-49 employed in the past year and earning cash, the percent who decides how those earnings are used (%)

Female
21.20

Cabo Verde

Region	Income Level
Sub-Saharan Africa	Lower middle income

Adjusted net attendance rate for adolescents of lower secondary school age (%)

Female	Male	Gap
-	-	-

Adjusted net attendance rate for adolescents of upper secondary school age (%)

Female	Male	Gap
-	-	-

Control over earnings - Among currently married or in union women aged 15-49 employed in the past year and earning cash, the percent who decides how those earnings are used (%)

Female
-

Cameroon

Region	Income Level
Sub-Saharan Africa	Lower middle income

Adjusted net attendance rate for adolescents of lower secondary school age (%)

Female	Male	Gap
53.20	51.50	-1.70

Adjusted net attendance rate for adolescents of upper secondary school age (%)

Female	Male	Gap
27.40	28.00	0.60

Control over earnings - Among currently married or in union women aged 15-49 employed in the past year and earning cash, the percent who decides how those earnings are used (%)

Female
53.80

Central African Republic

Region	Income Level
Sub-Saharan Africa	Low income

Adjusted net attendance rate for adolescents of lower secondary school age (%)

Female	Male	Gap
12.60	14.00	1.50

Adjusted net attendance rate for adolescents of upper secondary school age (%)

Female	Male	Gap
4.30	6.50	2.20

Control over earnings - Among currently married or in union women aged 15-49 employed in the past year and earning cash, the percent who decides how those earnings are used (%)

Female
-

Chad

Region	Income Level
Sub-Saharan Africa	Low income

Adjusted net attendance rate for adolescents of lower secondary school age (%)

Female	Male	Gap
12.00	16.60	4.60

Adjusted net attendance rate for adolescents of upper secondary school age (%)

Female	Male	Gap
4.90	8.40	3.50

Control over earnings - Among currently married or in union women aged 15-49 employed in the past year and earning cash, the percent who decides how those earnings are used (%)

Female
71.00

Comoros

Region	Income Level
Sub-Saharan Africa	Lower middle income

Adjusted net attendance rate for adolescents of lower secondary school age (%)

Female	Male	Gap
52.30	44.70	-7.60

Adjusted net attendance rate for adolescents of upper secondary school age (%)

Female	Male	Gap
28.70	25.30	-3.40

Control over earnings - Among currently married or in union women aged 15-49 employed in the past year and earning cash, the percent who decides how those earnings are used (%)

Female
39.60

Congo

Region	Income Level
Sub-Saharan Africa	Lower middle income

Adjusted net attendance rate for adolescents of lower secondary school age (%)

Female	Male	Gap
67.20	62.20	-5.00

Adjusted net attendance rate for adolescents of upper secondary school age (%)

Female	Male	Gap
35.10	37.80	2.60

Control over earnings - Among currently married or in union women aged 15-49 employed in the past year and earning cash, the percent who decides how those earnings are used (%)

Female
64.70

Côte d'Ivoire

Region	Income Level
Sub-Saharan Africa	Lower middle income

Adjusted net attendance rate for adolescents of lower secondary school age (%)

Female	Male	Gap
37.60	42.80	5.30

Adjusted net attendance rate for adolescents of upper secondary school age (%)

Female	Male	Gap
13.50	20.20	6.70

Control over earnings - Among currently married or in union women aged 15-49 employed in the past year and earning cash, the percent who decides how those earnings are used (%)

Female
68.50

Democratic Republic of the Congo

Region	Income Level
Sub-Saharan Africa	Low income

Adjusted net attendance rate for adolescents of lower secondary school age (%)

Female	Male	Gap
31.50	32.50	1.00

Adjusted net attendance rate for adolescents of upper secondary school age (%)

Female	Male	Gap
32.90	35.90	3.00

Control over earnings - Among currently married or in union women aged 15-49 employed in the past year and earning cash, the percent who decides how those earnings are used (%)

Female
28.60

Equatorial Guinea

Region	Income Level
Sub-Saharan Africa	Upper middle income

Adjusted net attendance rate for adolescents of lower secondary school age (%)

Female	Male	Gap
-	-	-

Adjusted net attendance rate for adolescents of upper secondary school age (%)

Female	Male	Gap
-	-	-

Control over earnings - Among currently married or in union women aged 15-49 employed in the past year and earning cash, the percent who decides how those earnings are used (%)

Female
-

Eritrea

Region	Income Level
Sub-Saharan Africa	Low income

Adjusted net attendance rate for adolescents of lower secondary school age (%)

Female	Male	Gap
-	-	-

Adjusted net attendance rate for adolescents of upper secondary school age (%)

Female	Male	Gap
-	-	-

Control over earnings - Among currently married or in union women aged 15-49 employed in the past year and earning cash, the percent who decides how those earnings are used (%)

Female
56.20

Eswatini

Region	Income Level
Sub-Saharan Africa	Lower middle income

Adjusted net attendance rate for adolescents of lower secondary school age (%)

Female	Male	Gap
-	-	-

Adjusted net attendance rate for adolescents of upper secondary school age (%)

Female	Male	Gap
-	-	-

Control over earnings - Among currently married or in union women aged 15-49 employed in the past year and earning cash, the percent who decides how those earnings are used (%)

Female
65.10

Ethiopia

Region	Income Level
Sub-Saharan Africa	Low income

Adjusted net attendance rate for adolescents of lower secondary school age (%)

Female	Male	Gap
29.30	25.20	-4.10

Adjusted net attendance rate for adolescents of upper secondary school age (%)

Female	Male	Gap
9.00	6.70	-2.30

Control over earnings - Among currently married or in union women aged 15-49 employed in the past year and earning cash, the percent who decides how those earnings are used (%)

Female
29.80

Gabon

Region	Income Level
Sub-Saharan Africa	Upper middle income

Adjusted net attendance rate for adolescents of lower secondary school age (%)

Female	Male	Gap
58.50	50.60	-7.90

Adjusted net attendance rate for adolescents of upper secondary school age (%)

Female	Male	Gap
18.60	13.00	-5.60

Control over earnings - Among currently married or in union women aged 15-49 employed in the past year and earning cash, the percent who decides how those earnings are used (%)

Female
50.30

Gambia, The

Region	Income Level
Sub-Saharan Africa	Low income

Adjusted net attendance rate for adolescents of lower secondary school age (%)

Female	Male	Gap
49.70	38.20	-11.50

Adjusted net attendance rate for adolescents of upper secondary school age (%)

Female	Male	Gap
-	-	-

Control over earnings - Among currently married or in union women aged 15-49 employed in the past year and earning cash, the percent who decides how those earnings are used (%)

Female
84.70

Ghana

Region	Income Level
Sub-Saharan Africa	Lower middle income

Adjusted net attendance rate for adolescents of lower secondary school age (%)

Female	Male	Gap
44.10	37.60	-6.40

Adjusted net attendance rate for adolescents of upper secondary school age (%)

Female	Male	Gap
19.30	19.90	0.70

Control over earnings - Among currently married or in union women aged 15-49 employed in the past year and earning cash, the percent who decides how those earnings are used (%)

Female
62.80

Guinea

Region	Income Level
Sub-Saharan Africa	Lower middle income

Adjusted net attendance rate for adolescents of lower secondary school age (%)

Female	Male	Gap
29.00	35.10	6.10

Adjusted net attendance rate for adolescents of upper secondary school age (%)

Female	Male	Gap
11.20	14.60	3.40

Control over earnings - Among currently married or in union women aged 15-49 employed in the past year and earning cash, the percent who decides how those earnings are used (%)

Female
72.90

Guinea-Bissau

Region	Income Level
Sub-Saharan Africa	Low income

Adjusted net attendance rate for adolescents of lower secondary school age (%)

Female	Male	Gap
8.90	10.30	1.40

Adjusted net attendance rate for adolescents of upper secondary school age (%)

Female	Male	Gap
7.30	6.50	-0.80

Control over earnings - Among currently married or in union women aged 15-49 employed in the past year and earning cash, the percent who decides how those earnings are used (%)

Female
-

Kenya

Region	Income Level
Sub-Saharan Africa	Lower middle income

Adjusted net attendance rate for adolescents of lower secondary school age (%)

Female	Male	Gap
46.30	38.20	-8.10

Adjusted net attendance rate for adolescents of upper secondary school age (%)

Female	Male	Gap
36.80	34.30	-2.50

Control over earnings - Among currently married or in union women aged 15-49 employed in the past year and earning cash, the percent who decides how those earnings are used (%)

Female
55.20

Lesotho

Region	Income Level
Sub-Saharan Africa	Lower middle income

Adjusted net attendance rate for adolescents of lower secondary school age (%)

Female	Male	Gap
66.90	42.30	-24.60

Adjusted net attendance rate for adolescents of upper secondary school age (%)

Female	Male	Gap
30.40	14.90	-15.50

Control over earnings - Among currently married or in union women aged 15-49 employed in the past year and earning cash, the percent who decides how those earnings are used (%)

Female
33.10

Liberia

Region	Income Level
Sub-Saharan Africa	Low income

Adjusted net attendance rate for adolescents of lower secondary school age (%)

Female	Male	Gap
14.60	13.60	-1.00

Adjusted net attendance rate for adolescents of upper secondary school age (%)

Female	Male	Gap
11.30	11.70	0.40

Control over earnings - Among currently married or in union women aged 15-49 employed in the past year and earning cash, the percent who decides how those earnings are used (%)

Female
26.20

Madagascar

Region	Income Level
Sub-Saharan Africa	Low income

Adjusted net attendance rate for adolescents of lower secondary school age (%)

Female	Male	Gap
31.50	23.00	-8.50

Adjusted net attendance rate for adolescents of upper secondary school age (%)

Female	Male	Gap
14.10	11.40	-2.70

Control over earnings - Among currently married or in union women aged 15-49 employed in the past year and earning cash, the percent who decides how those earnings are used (%)

Female
30.30

Malawi

Region	Income Level
Sub-Saharan Africa	Low income

Adjusted net attendance rate for adolescents of lower secondary school age (%)

Female	Male	Gap
30.80	25.20	-5.60

Adjusted net attendance rate for adolescents of upper secondary school age (%)

Female	Male	Gap
18.40	16.70	-1.70

Control over earnings - Among currently married or in union women aged 15-49 employed in the past year and earning cash, the percent who decides how those earnings are used (%)

Female
28.40

Mali

Region	Income Level
Sub-Saharan Africa	Low income

Adjusted net attendance rate for adolescents of lower secondary school age (%)

Female	Male	Gap
30.40	36.30	5.90

Adjusted net attendance rate for adolescents of upper secondary school age (%)

Female	Male	Gap
14.30	20.40	6.10

Control over earnings - Among currently married or in union women aged 15-49 employed in the past year and earning cash, the percent who decides how those earnings are used (%)

Female
82.50

Mauritania

Region	Income Level
Sub-Saharan Africa	Lower middle income

Adjusted net attendance rate for adolescents of lower secondary school age (%)

Female	Male	Gap
26.90	30.30	3.40

Adjusted net attendance rate for adolescents of upper secondary school age (%)

Female	Male	Gap
18.00	22.30	4.30

Control over earnings - Among currently married or in union women aged 15-49 employed in the past year and earning cash, the percent who decides how those earnings are used (%)

Female
62.90

Mauritius

Region	Income Level
Sub-Saharan Africa	Upper middle income

Adjusted net attendance rate for adolescents of lower secondary school age (%)

Female	Male	Gap
-	-	-

Adjusted net attendance rate for adolescents of upper secondary school age (%)

Female	Male	Gap
-	-	-

Control over earnings - Among currently married or in union women aged 15-49 employed in the past year and earning cash, the percent who decides how those earnings are used (%)

Female
-

Mozambique

Region	Income Level
Sub-Saharan Africa	Low income

Adjusted net attendance rate for adolescents of lower secondary school age (%)

Female	Male	Gap
-	-	-

Adjusted net attendance rate for adolescents of upper secondary school age (%)

Female	Male	Gap
-	-	-

Control over earnings - Among currently married or in union women aged 15-49 employed in the past year and earning cash, the percent who decides how those earnings are used (%)

Female
39.10

Namibia

Region	Income Level
Sub-Saharan Africa	Upper middle income

Adjusted net attendance rate for adolescents of lower secondary school age (%)

Female	Male	Gap
67.40	53.50	-13.90

Adjusted net attendance rate for adolescents of upper secondary school age (%)

Female	Male	Gap
28.10	20.20	-7.90

Control over earnings - Among currently married or in union women aged 15-49 employed in the past year and earning cash, the percent who decides how those earnings are used (%)

Female
39.50

Niger

Region	Income Level
Sub-Saharan Africa	Low income

Adjusted net attendance rate for adolescents of lower secondary school age (%)

Female	Male	Gap
16.80	21.40	4.60

Adjusted net attendance rate for adolescents of upper secondary school age (%)

Female	Male	Gap
2.80	5.50	2.70

Control over earnings - Among currently married or in union women aged 15-49 employed in the past year and earning cash, the percent who decides how those earnings are used (%)

Female
85.40

Nigeria

Region	Income Level
Sub-Saharan Africa	Lower middle income

Adjusted net attendance rate for adolescents of lower secondary school age (%)

Female	Male	Gap
44.90	44.70	-0.20

Adjusted net attendance rate for adolescents of upper secondary school age (%)

Female	Male	Gap
35.00	34.00	-1.00

Control over earnings - Among currently married or in union women aged 15-49 employed in the past year and earning cash, the percent who decides how those earnings are used (%)

Female
72.30

Rwanda

Region	Income Level
Sub-Saharan Africa	Low income

Adjusted net attendance rate for adolescents of lower secondary school age (%)

Female	Male	Gap
33.90	25.30	-8.60

Adjusted net attendance rate for adolescents of upper secondary school age (%)

Female	Male	Gap
17.20	12.50	-4.70

Control over earnings - Among currently married or in union women aged 15-49 employed in the past year and earning cash, the percent who decides how those earnings are used (%)

Female
23.30

Sao Tome and Principe

Region	Income Level
Sub-Saharan Africa	Lower middle income

Adjusted net attendance rate for adolescents of lower secondary school age (%)

Female	Male	Gap
60.50	50.30	-10.20

Adjusted net attendance rate for adolescents of upper secondary school age (%)

Female	Male	Gap
34.30	25.20	-9.00

Control over earnings - Among currently married or in union women aged 15-49 employed in the past year and earning cash, the percent who decides how those earnings are used (%)

Female
74.00

Senegal

Region	Income Level
Sub-Saharan Africa	Lower middle income

Adjusted net attendance rate for adolescents of lower secondary school age (%)

Female	Male	Gap
32.50	29.40	-3.20

Adjusted net attendance rate for adolescents of upper secondary school age (%)

Female	Male	Gap
17.80	16.80	-1.10

Control over earnings - Among currently married or in union women aged 15-49 employed in the past year and earning cash, the percent who decides how those earnings are used (%)

Female
81.00

Sierra Leone

Region	Income Level
Sub-Saharan Africa	Low income

Adjusted net attendance rate for adolescents of lower secondary school age (%)

Female	Male	Gap
36.30	36.20	-0.10

Adjusted net attendance rate for adolescents of upper secondary school age (%)

Female	Male	Gap
27.50	29.90	2.40

Control over earnings - Among currently married or in union women aged 15-49 employed in the past year and earning cash, the percent who decides how those earnings are used (%)

Female
36.60

Somalia

Region	Income Level
Sub-Saharan Africa	Low income

Adjusted net attendance rate for adolescents of lower secondary school age (%)

Female	Male	Gap
-	-	-

Adjusted net attendance rate for adolescents of upper secondary school age (%)

Female	Male	Gap
-	-	-

Control over earnings - Among currently married or in union women aged 15-49 employed in the past year and earning cash, the percent who decides how those earnings are used (%)

Female
-

South Africa

Region	Income Level
Sub-Saharan Africa	Upper middle income

Adjusted net attendance rate for adolescents of lower secondary school age (%)

Female	Male	Gap
88.80	81.60	-7.20

Adjusted net attendance rate for adolescents of upper secondary school age (%)

Female	Male	Gap
72.30	67.20	-5.00

Control over earnings - Among currently married or in union women aged 15-49 employed in the past year and earning cash, the percent who decides how those earnings are used (%)

Female
31.20

South Sudan

Region	Income Level
Sub-Saharan Africa	Low income

Adjusted net attendance rate for adolescents of lower secondary school age (%)

Female	Male	Gap
-	-	-

Adjusted net attendance rate for adolescents of upper secondary school age (%)

Female	Male	Gap
-	-	-

Control over earnings - Among currently married or in union women aged 15-49 employed in the past year and earning cash, the percent who decides how those earnings are used (%)

Female
-

Sudan

Region	Income Level
Sub-Saharan Africa	Low income

Adjusted net attendance rate for adolescents of lower secondary school age (%)

Female	Male	Gap
32.00	30.50	-1.50

Adjusted net attendance rate for adolescents of upper secondary school age (%)

Female	Male	Gap
30.30	27.80	-2.50

Control over earnings - Among currently married or in union women aged 15-49 employed in the past year and earning cash, the percent who decides how those earnings are used (%)

Female
-

Togo

Region	Income Level
Sub-Saharan Africa	Low income

Adjusted net attendance rate for adolescents of lower secondary school age (%)

Female	Male	Gap
50.50	55.60	5.10

Adjusted net attendance rate for adolescents of upper secondary school age (%)

Female	Male	Gap
20.40	26.70	6.30

Control over earnings - Among currently married or in union women aged 15-49 employed in the past year and earning cash, the percent who decides how those earnings are used (%)

Female
90.00

Uganda

Region	Income Level
Sub-Saharan Africa	Low income

Adjusted net attendance rate for adolescents of lower secondary school age (%)

Female	Male	Gap
20.50	18.20	-2.30

Adjusted net attendance rate for adolescents of upper secondary school age (%)

Female	Male	Gap
7.10	8.60	1.50

Control over earnings - Among currently married or in union women aged 15-49 employed in the past year and earning cash, the percent who decides how those earnings are used (%)

Female
52.60

United Republic of Tanzania

Region	Income Level
Sub-Saharan Africa	Lower middle income

Adjusted net attendance rate for adolescents of lower secondary school age (%)

Female	Male	Gap
30.50	25.00	-5.50

Adjusted net attendance rate for adolescents of upper secondary school age (%)

Female	Male	Gap
3.00	3.20	0.20

Control over earnings - Among currently married or in union women aged 15-49 employed in the past year and earning cash, the percent who decides how those earnings are used (%)

Female
37.30

Zambia

Region	Income Level
Sub-Saharan Africa	Lower middle income

Adjusted net attendance rate for adolescents of lower secondary school age (%)

Female	Male	Gap
46.20	45.40	-0.80

Adjusted net attendance rate for adolescents of upper secondary school age (%)

Female	Male	Gap
28.60	29.80	1.20

Control over earnings - Among currently married or in union women aged 15-49 employed in the past year and earning cash, the percent who decides how those earnings are used (%)

Female
31.00

Zimbabwe

Region	Income Level
Sub-Saharan Africa	Lower middle income

Adjusted net attendance rate for adolescents of lower secondary school age (%)

Female	Male	Gap
59.70	43.80	-15.90

Adjusted net attendance rate for adolescents of upper secondary school age (%)

Female	Male	Gap
36.40	37.30	0.90

Control over earnings - Among currently married or in union women aged 15-49 employed in the past year and earning cash, the percent who decides how those earnings are used (%)

Female
32.40

Select Indicators

Education Outcomes: Enrolment & Attainment outcomes

Adjusted net attendance rates

Adjusted net attendance rate for children of pre-primary (one year before primary) school age (%)

Adjusted net attendance rate for children of primary school age (%)

Adjusted net attendance rate for adolescents of lower secondary school age (%)

Adjusted net attendance rate for adolescents of upper secondary school age (%)

Out-of-school rates

Out-of-school rate for children of primary school age (%)

Out-of-school rate for adolescents of lower secondary school age (%)

Out-of-school rate for adolescents of upper secondary school age (%)

Completion rates

Completion rate for children of primary school age (%)

Completion rate for adolescents of lower secondary school age (%)

Completion rate for adolescents of upper secondary school age (%)

Education Outcomes: Learning

Learning outcomes

Percentage of population aged 15+ that can both read and write a short, simple statement about their everyday life (%)

Percentage of population aged 15-24 that can both read and write a short, simple statement about their everyday life (%)

Barriers to Education

Child Labor

Time spent on economic activity - Percent aged 10-14 years who engaged in economic activity in the past week (%)

Time spent on unpaid household chores - Percent aged 10-14 years who engage in unpaid household chores in the past week (%)

Violence

Intimate Partner Violence - Percent of ever-partnered women and girls aged 15-19 subjected to physical and/or sexual violence by a current or former intimate partner in the previous 12 months (%)

Corporal punishment - Percent aged 10-14 years who experienced any physical violence or psychological aggression by caregivers (%)

Adolescent childbearing

Percent aged 20-24 years who had a first birth before age 18 (%)

Child marriage

Percent aged 20-24 years who were married or in a union before age 18 (%)

Percent aged 15-19 who are currently married or living in union (%)

Contextual Influences

Community-level

Control over earnings - Among currently married or in union women aged 15-49 employed in the past year and earning cash, the percent who decides how those earnings are used (%)

Cash earnings - Among women aged 15-49 employed in the past year, the percent who earned cash for their work (%)

Employment - Percent of women aged 15-49 employed in the past year (%)

Proportion of youth aged 15-24 not in education, employment or training (%)

School-level

Percentage of primary schools providing life skills-based HIV and sexuality education

Number of years of free primary and secondary education guaranteed in legal frameworks

Expenditure on education as a percentage of total government expenditure

Indicators Gender

Select Countries

Regions Income Levels Add Countries

Reset

Power in Numbers Data Table

A gender lens on education data

Angola

Benin

Botswana

Burkina Faso

Burundi

Cabo Verde

Cameroon

Central African Republic

Chad

Comoros

Congo

Côte d'Ivoire

Democratic Republic of the Congo

Equatorial Guinea

Eritrea

Eswatini

Ethiopia

Gabon

Gambia, The

Ghana

Guinea

Guinea-Bissau

Kenya

Lesotho

Liberia

Madagascar

Malawi

Mali

Mauritania

Mauritius

Mozambique

Namibia

Niger

Nigeria

Rwanda

Sao Tome and Principe

Senegal

Sierra Leone

Somalia

South Africa

South Sudan

Sudan

Togo

Uganda

United Republic of Tanzania

Zambia

Zimbabwe