Middle School Out-of-School Rate by Country 2026
Lower secondary school out-of-school rates measure the percentage of adolescents of lower secondary school age not enrolled in school. This indicator is critical because lower secondary education represents a crucial transition point where many students drop out, particularly in developing countries. Understanding which adolescents are excluded from lower secondary education is essential for identifying and addressing educational inequities.
Middle school out-of-school rates are typically 2-3 times higher than primary school rates in developing nations, indicating a significant dropout pattern between primary and middle school levels. This transition gap reveals that many students who complete primary education do not progress to middle school, often due to economic constraints, distance to schools, or cultural factors. Out-of-school status at the middle school level results from multiple barriers. Economic constraints intensify as families must support older adolescents. Middle schools are often located farther from homes than primary schools, particularly in rural areas. Gender discrimination increases, particularly for girls. Early marriage, child labor, and family responsibilities also increase at this age. Additionally, middle school education is often not compulsory, reducing enrollment incentives. Global middle school out-of-school rates show dramatic disparities. Developed nations typically show rates below 3%, indicating near-universal middle school enrollment. Many developing countries show rates between 10-30%, reflecting significant access challenges. The lowest-performing countries show rates exceeding 50%, indicating that more than half of middle school-age adolescents are not in school. Sub-Saharan Africa shows the highest middle school out-of-school rates globally, with many countries exceeding 30%. South Asia also shows high rates, particularly for girls. Latin America and East Asia show lower rates, reflecting greater educational development. Developed regions show the lowest rates, with near-universal enrollment at middle school level. Gender disparities in middle school out-of-school rates are particularly pronounced. In many developing nations, girls' out-of-school rates at the middle school level exceed boys' rates by 10-20 percentage points. Early marriage, pregnancy, and cultural restrictions on girls' education contribute to this gap. Addressing middle school exclusion requires targeted interventions to support girls' education. Middle school out-of-school status has profound consequences for individual and national development. Adolescents not in middle school miss the opportunity to develop advanced literacy, numeracy, and critical thinking skills. They face severely limited employment prospects and earning potential. They are more vulnerable to exploitation, including child labor and trafficking. Girls not in school are at higher risk of early marriage and pregnancy. For nations, high middle school out-of-school rates indicate severe educational access problems and reflect broader development challenges. Countries with high out-of-school rates typically have lower GDP per capita, higher poverty rates, and less developed infrastructure. Addressing middle school out-of-school status is essential for breaking cycles of poverty and promoting sustainable development. Projections for 2026 show modest improvements in middle school out-of-school rates globally, with rates expected to decline slightly from 2023 levels. However, these improvements are typically only 2-4 percentage points, suggesting that without significant policy interventions, current disparities will persist. The 2026 estimates are calculated using linear regression analysis based on historical trends from 2019-2023. This statistical method identifies the rate of change over recent years and projects that trend forward to 2026. The methodology examines each country's historical out-of-school rate trajectory and applies the observed trend to estimate 2026 values. All projections are constrained to the 0-100% range to ensure realistic estimates. This approach assumes that current trends will continue, which may not hold if significant policy changes or external shocks occur. The COVID-19 pandemic disrupted education globally, causing school closures and economic hardship that increased out-of-school rates in many countries. Recovery efforts and renewed investment in education infrastructure will be critical to achieving further improvements in middle school out-of-school rates beyond these projections. This analysis uses UNESCO Institute for Statistics (UIS) modelled estimates of middle school out-of-school rates. Modelled estimates provide consistent, comparable data across countries by using statistical techniques to fill gaps in reported data and account for different reporting methodologies. Out-of-school rates are calculated as: (Number of out-of-school adolescents / Total population of middle school age) × 100 The data reflects 2023 actual rates (the most recent available), with 2026 projections calculated using linear regression analysis based on historical trends from 2019-2023. Using modelled estimates ensures methodological consistency across all 195 countries included in this analysis, though it is important to note that these are statistical estimates rather than direct observations. This approach allows for meaningful comparisons between countries with different education systems and reporting practices.The Middle School Exclusion Crisis
Middle School Out-of-School Rate by Country 2026
Global Patterns in Middle School Out-of-School Rates
Gender Dimensions of Middle School Exclusion
Causes and Consequences of Middle School Out-of-School Status
2026 Projections and Methodology
Middle School Out-of-School Rate by Country 2026
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1
96.8%
96.6%
2
87.9%
87.2%
3
87.7%
86.6%
4
85.8%
84.9%
5
84.7%
83.9%
6
81.1%
81.4%
7
81.1%
79.7%
8
71.7%
70.2%
9
71.6%
69.9%
10
71.7%
69.9%
11
68.8%
67.2%
12
68.8%
67.1%
13
68.8%
67.1%
14
71.1%
66.6%
15
67.9%
66.2%
16
67.9%
65.8%
17
68.8%
65.2%
18
67.9%
65.1%
19
67.9%
64.6%
20
67.9%
64.4%
21
61.1%
58.8%
22
61.1%
58.8%
23
57.9%
57.2%
24
57.9%
57.1%
25
57.7%
56.4%
26
57.9%
56.2%
27
57.9%
56.1%
28
57.9%
55.7%
29
57.7%
54.2%
30
57.9%
51.7%
31
57.9%
51.1%
32
51.1%
48.7%
33
47.7%
46.2%
34
47.9%
45.8%
35
45.9%
44.2%
36
45.8%
43.9%
37
47.7%
43.3%
38
43.3%
41.1%
39
41.1%
40.4%
40
41.7%
39.9%
41
41.1%
39.8%
42
41.1%
38.8%
43
41.1%
38.8%
44
37.9%
36.2%
45
37.9%
35.7%
46
37.9%
35.7%
47
37.7%
35.2%
48
37.7%
34.2%
49
31.1%
30.4%
50
31.1%
29.8%
51
31.1%
29.2%
52
31.7%
29.1%
53
31.1%
28.8%
54
31.1%
27.9%
55
31.1%
27.7%
56
28.8%
26.6%
57
28.8%
26.2%
58
27.7%
26.1%
59
27.7%
24.9%
60
21.7%
21.1%
61
21.7%
20.9%
62
21.7%
20.9%
63
21.1%
19.4%
64
21.6%
18.8%
65
21.1%
18.8%
66
14.8%
13.6%
67
12.7%
11.9%
68
12.7%
11.4%
69
12.7%
11.1%
70
12.7%
11.1%
71
12.7%
11.1%
72
12.7%
11.1%
73
12.7%
11.1%
74
12.1%
10.9%
75
11.6%
10.4%
76
10.8%
9.6%
77
10.8%
9.4%
78
10.4%
9.2%
79
8.8%
7.9%
80
8.8%
7.7%
81
7.6%
6.9%
82
5.8%
4.9%
83
5.8%
4.9%
84
5.8%
4.7%
85
4.4%
3.9%
86
3.8%
3.5%
87
3.8%
3.3%
88
3.8%
3.2%
89
3.2%
2.9%
90
3.2%
2.9%
91
3.3%
2.9%
92
3.2%
2.9%
93
3.2%
2.9%
94
3.3%
2.9%
95
3.3%
2.9%
96
3.2%
2.8%
97
3.3%
2.8%
98
3.2%
2.8%
99
3.2%
2.7%
100
3.2%
2.7%
101
3.2%
2.7%
102
3.3%
2.6%
103
2.7%
2.4%
104
2.7%
2.4%
105
2.7%
2.2%
106
2.7%
2.2%
107
2.4%
2.1%
108
2.4%
2.1%
109
2.2%
1.9%
110
2.2%
1.9%
111
2.2%
1.9%
112
2.4%
1.9%
113
2.2%
1.9%
114
2.2%
1.9%
115
2.4%
1.9%
116
2.2%
1.9%
117
2.2%
1.9%
118
2.2%
1.7%
119
2.2%
1.7%
120
1.9%
1.7%
121
1.9%
1.7%
122
2.2%
1.6%
123
1.8%
1.6%
124
1.7%
1.5%
125
1.7%
1.4%
126
1.6%
1.4%
127
1.7%
1.4%
128
1.6%
1.4%
129
1.5%
1.3%
130
1.6%
1.3%
131
1.6%
1.3%
132
1.4%
1.2%
133
1.4%
1.2%
134
1.4%
1.2%
135
1.4%
1.2%
136
1.4%
1.2%
137
1.4%
1.2%
138
1.3%
1.1%
139
1.2%
1.1%
140
1.3%
1.1%
141
1.3%
1.1%
142
1.3%
1.1%
143
1.3%
1.1%
144
1.3%
1.1%
145
1.2%
1%
146
1.2%
1%
147
1.1%
0.9%
148
1.1%
0.9%
149
1.1%
0.9%
150
1.1%
0.9%
151
1.1%
0.9%
152
1.1%
0.9%
153
1.1%
0.9%
154
1.1%
0.9%
155
1.1%
0.9%
156
1.1%
0.9%
157
1.1%
0.9%
158
1.1%
0.9%
159
0.9%
0.8%
160
0.9%
0.8%
161
0.9%
0.8%
162
0.8%
0.7%
163
0.8%
0.7%
164
0.7%
0.6%
Methodology and Data Sources
Frequently Asked Questions
Q: Why do out-of-school rates increase so dramatically from primary to lower secondary?
A: Multiple factors contribute to this transition gap. Economic constraints intensify as families must support older adolescents. Lower secondary schools are often located farther from homes than primary schools, particularly in rural areas. Gender discrimination increases, especially for girls. Early marriage, child labor, and family responsibilities also increase at this age. Additionally, lower secondary education is often not compulsory in developing nations, reducing enrollment incentives. The cumulative effect of earlier dropouts means fewer students reach lower secondary age still in school.
Q: What interventions are most effective at reducing lower secondary out-of-school rates?
A: Effective interventions include eliminating school fees, providing transportation or building schools closer to communities, enforcing compulsory education laws, supporting girls' education through scholarships and safety measures, and providing social protection for vulnerable families. Countries that have successfully reduced lower secondary out-of-school rates have typically combined multiple interventions rather than relying on a single approach. Investment in teacher training and school infrastructure also improves enrollment and retention.
Data Disclaimer: Projected data (future years) are estimates based on mathematical models. Actual values may differ. Learn about our methodology →
Sources
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Updated: 04.01.2026https://databrowser.uis.unesco.org/browser/EDUCATION/UIS-SDG4Monitoring/t4.1/i4.1.4
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