Government Spending per High School Student (% of GDP per Capita) - 2026

Government spending on high school per student measures the public financial investment in high school education. This indicator expresses government expenditure per high school student as a percentage of GDP per capita, providing a standardized measure of public education investment across countries with different economic sizes. High school encompasses organized learning programs for adolescents typically ages 15-17 years, with government spending covering teacher salaries, school infrastructure, materials, and operational costs.

Understanding Government High School Investment

Government spending on high school reflects public commitment to developing human capital and preparing adolescents for employment and higher education. High school represents a critical transition point where students develop specialized skills and knowledge for workforce entry or tertiary education. Government investment in high school determines education quality, teacher qualifications, school infrastructure, and student learning outcomes. Government high school spending varies dramatically across countries based on education policy priorities, economic capacity, and development stage. Developed nations typically invest heavily in high school, reflecting comprehensive public education systems and high per-student spending. Developing countries often show lower spending, reflecting budget constraints and competing priorities, though some prioritize high school as a pathway to economic development.

Government Spending per High School Student (% of GDP per Capita) - 2026

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#	Country	2026 Estimate (%)
1	Tanzania TZ	180.07%
2	Niger NE	75.96%
3	Ethiopia ET	74.25%
4	Mozambique MZ	69.56%
5	Mali ML	57.93%
6	Malta MT	56.86%
7	Bhutan BT	51.63%
8	Vanuatu VU	47.14%
9	Barbados BB	42.07%
10	South Korea KR	40.86%
11	Chad TD	40.38%
12	Senegal SN	38.13%
13	Cyprus CY	37.23%
14	Bosnia and Herzegovina BA	36.25%
15	Guinea GN	34.73%
16	Burkina Faso BF	34.53%
17	France FR	33.22%
18	Eswatini SZ	30.39%
19	Dominica DM	30.37%
20	Mongolia MN	30.07%
21	Rwanda RW	29.25%
22	Jamaica JM	28.74%
23	Norway NO	28.36%
24	Portugal PT	28.27%
25	Canada CA	27.91%
26	Puerto Rico PR	27.82%
27	Latvia LV	27.55%
28	Moldova MD	27.37%
29	Ukraine UA	27.28%
30	Ghana GH	27.27%
31	Denmark DK	26.94%
32	Germany DE	26.54%
33	Marshall Islands MH	26.28%
34	Netherlands NL	26.17%
35	United Arab Emirates AE	26.11%
36	Costa Rica CR	25.69%
37	Sweden SE	25.64%
38	United States US	25.23%
39	Belgium BE	25.19%
40	South Africa ZA	25.1%
41	Afghanistan AF	24.83%
42	Austria AT	24.78%
43	Thailand TH	24.49%
44	Kuwait KW	24.44%
45	Cook Islands CK	24.18%
46	Brazil BR	24.11%
47	Finland FI	24.07%
48	Zimbabwe ZW	23.35%
49	Slovenia SI	23.33%
50	Belize BZ	23.23%
51	Czech Republic CZ	23.16%
52	Italy IT	23.08%
53	San Marino SM	22.85%
54	Slovakia SK	22.68%
55	United Kingdom GB	22.26%
56	Lithuania LT	22.12%
57	Malawi MW	22.11%
58	Croatia HR	21.96%
59	India IN	21.94%
60	Maldives MV	21.33%
61	Ivory Coast CI	21.29%
62	Timor-Leste TL	21.06%
63	Bulgaria BG	21.05%
64	Bahrain BH	20.8%
65	Hungary HU	20.76%
66	Oman OM	20.72%
67	Curaçao CW	20.64%
68	Argentina AR	20.25%
69	Spain ES	20.24%
70	Switzerland CH	20.21%
71	Russia RU	19.89%
72	New Zealand NZ	19.84%
73	Togo TG	19.77%
74	Poland PL	19.65%
75	Saint Lucia LC	19.54%
76	Israel IL	19.49%
77	Jordan JO	19.49%
78	Luxembourg LU	19.47%
79	Bolivia BO	19.33%
80	Laos LA	19.08%
81	Estonia EE	18.84%
82	Ireland IE	18.8%
83	Greece GR	18.42%
84	Comoros KM	18.32%
85	Mexico MX	17.92%
86	Madagascar MG	17.18%
87	Iceland IS	16.97%
88	Armenia AM	16.92%
89	Chile CL	16.76%
90	Romania RO	16.64%
91	Azerbaijan AZ	16.5%
92	Trinidad and Tobago TT	15.62%
93	Türkiye TR	15.49%
94	Iran IR	15.36%
95	Kazakhstan KZ	14.48%
96	Indonesia ID	14.29%
97	Sri Lanka LK	14.14%
98	Paraguay PY	13.77%
99	Cameroon CM	13.57%
100	Seychelles SC	13.29%
101	Egypt EG	13.11%
102	Dominican Republic DO	13.04%
103	Uruguay UY	12.53%
104	Bermuda BM	11.9%
105	Nepal NP	11.42%
106	Benin BJ	11.13%
107	Andorra AD	11.1%
108	El Salvador SV	10.77%
109	Bangladesh BD	10.61%
110	Cape Verde CV	10.44%
111	Monaco MC	10.35%
112	Sao Tome and Principe ST	10.3%
113	Lebanon LB	8.94%
114	Ecuador EC	7.3%
115	Sierra Leone SL	7.29%
116	Albania AL	7.04%
117	Cayman Islands KY	6.76%
118	DR Congo CD	5.61%
119	Guatemala GT	5.44%
120	Tajikistan TJ	3.16%

Global Patterns in Government High School Spending

Countries demonstrate vastly different patterns in government high school investment. Developed nations with strong education systems generally show high government spending, reflecting comprehensive funding for teacher salaries, infrastructure, and materials. Developing countries show more varied patterns, with some maintaining substantial high school investment while others allocate limited resources to this education level. Regional differences in government high school spending reflect varying education financing models and economic contexts. European countries generally show high government spending due to well-funded public education systems and high per-capita incomes. Asian countries show diverse patterns, with some wealthy nations investing heavily while others face budget constraints. African and Latin American countries often show lower government spending relative to developed nations, reflecting lower incomes and competing development priorities.

High School Education and Economic Development

Government high school investment significantly influences economic development and workforce quality. Countries with strong high school systems produce skilled workers capable of higher productivity and innovation. High school completion increases employment prospects and lifetime earnings, generating economic returns that exceed initial government investment. Inadequate government high school spending constrains economic development. Countries with limited high school investment often struggle to develop skilled workforces, limiting economic competitiveness and growth. This creates a development trap where low investment leads to low skills, limiting economic growth and government revenue for future education investment.

High School Education and Social Equity

Government high school spending levels influence educational access and equity. High government investment enables free or low-cost high school education, ensuring access regardless of family economic capacity. Low government spending forces families to bear education costs, creating barriers for disadvantaged populations and perpetuating inequality. High school completion significantly influences lifetime opportunities and social mobility. Adolescents completing high school typically earn substantially more than those who do not, contributing more productively to economies and societies. Government investment in high school therefore represents investment in social mobility and reduced inequality.

High School Education Quality and Outcomes

Government spending levels directly influence high school education quality and student outcomes. Higher spending enables better teacher qualifications, improved school infrastructure, and more learning materials, all contributing to better student learning. Countries with high government high school spending typically show better learning outcomes and higher completion rates. Teacher quality particularly depends on government spending. Well-funded systems can attract and retain qualified teachers through competitive salaries and professional development opportunities. Under-funded systems struggle to recruit and retain quality teachers, compromising education quality and student outcomes.

Policy Implications

Government high school spending levels reflect policy priorities and budget allocation decisions. Countries can improve high school education quality and access through increased public funding, teacher salary improvements, and infrastructure investment. Such investments generate long-term economic and social benefits through improved human capital and reduced inequality. Sustainable high school financing requires adequate government budgets and efficient resource allocation. Countries must balance high school investment with other education levels and competing development priorities. International development assistance can support high school expansion in low-income countries, helping achieve universal secondary education goals.

Monitoring and Transparency

Accurate measurement of government high school spending remains important for policy evaluation. Official data should capture all government expenditure on high school education, including teacher salaries, infrastructure, materials, and operational costs. Improved data collection and transparency help policymakers understand education investment patterns and guide resource allocation decisions. Government spending patterns provide important insights into education system priorities and effectiveness. Comparing government spending across countries and over time reveals policy changes and investment trends. Monitoring these patterns helps identify countries increasing or decreasing high school investment and assess implications for education quality and equity.

Government Spending per High School Student (% of GDP per Capita) - 2026

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#	Country	2011 (%)	2013 (%)	2014 (%)	2019 (%)	2020 (%)	2021 (%)	2026 Estimate (%)
1	Tanzania	-	-	180.07%	-	-	-	180.07%
2	Niger	66.24%	81.27%	80.36%	-	-	-	75.96%
3	Ethiopia	74.25%	-	-	-	-	-	74.25%
4	Mozambique	-	69.56%	-	-	-	-	69.56%
5	Mali	64.03%	51.91%	57.87%	-	-	-	57.93%
6	Malta	160.44%	35.02%	28.88%	30.04%	-	29.94%	56.86%
7	Bhutan	51.63%	-	-	-	-	-	51.63%
8	Vanuatu	-	-	-	-	47.14%	-	47.14%
9	Barbados	-	-	-	42.07%	-	-	42.07%
10	South Korea	-	-	-	37.99%	40.76%	43.83%	40.86%
11	Chad	47.04%	40.67%	-	-	-	33.44%	40.38%
12	Senegal	25.55%	23.95%	26.45%	46.89%	53.1%	52.81%	38.13%
13	Cyprus	37.83%	38.96%	36.22%	36.16%	39.54%	34.68%	37.23%
14	Bosnia and Herzegovina	-	-	-	28.28%	-	29.61%	36.25%
15	Guinea	10.96%	-	12.79%	-	-	-	34.73%
16	Burkina Faso	18.07%	15.33%	16.43%	-	-	-	34.53%
17	France	-	-	-	28.16%	29.09%	27.43%	33.22%
18	Eswatini	30.39%	-	-	-	-	-	30.39%
19	Dominica	-	-	-	34.85%	25.88%	-	30.37%
20	Mongolia	-	18.24%	19.15%	-	-	-	30.07%
21	Rwanda	33.92%	28.86%	-	-	-	24.98%	29.25%
22	Jamaica	27.88%	31.24%	23.11%	25.68%	-	35.79%	28.74%
23	Norway	29.94%	-	26.45%	28.83%	30.79%	25.79%	28.36%
24	Portugal	33.84%	28.56%	26.45%	26.75%	27.56%	26.45%	28.27%
25	Canada	-	23.93%	24.06%	24.51%	32.26%	34.76%	27.91%
26	Puerto Rico	-	22.41%	21.96%	-	-	-	27.82%
27	Latvia	27.43%	37.27%	24.29%	24.5%	26.41%	25.4%	27.55%
28	Moldova	29.49%	-	29.52%	24.45%	29.68%	23.71%	27.37%
29	Ukraine	29.92%	28.18%	24.63%	29.75%	28.89%	22.3%	27.28%
30	Ghana	21.05%	27.46%	33.29%	-	-	-	27.27%
31	Denmark	34.26%	29.05%	33.22%	22.47%	22.24%	20.4%	26.94%
32	Germany	26.86%	25.61%	25.27%	26.1%	28.85%	26.57%	26.54%
33	Marshall Islands	-	-	-	26.28%	-	-	26.28%
34	Netherlands	-	-	-	20.66%	21.56%	22.24%	26.17%
35	United Arab Emirates	-	-	-	24.16%	26.25%	27.91%	26.11%
36	Costa Rica	22.57%	23.49%	22.17%	26.8%	32.54%	26.55%	25.69%
37	Sweden	34.28%	24.66%	24.4%	23.9%	24.21%	22.39%	25.64%
38	United States	-	-	-	23.4%	23.27%	23.83%	25.23%
39	Belgium	-	25.06%	26.75%	23.54%	26.16%	24.45%	25.19%
40	South Africa	-	-	-	21.96%	25.48%	27.87%	25.1%
41	Afghanistan	11.22%	8.95%	9.74%	-	-	-	24.83%
42	Austria	29.6%	24.62%	23.99%	23.02%	24.02%	23.43%	24.78%
43	Thailand	13.64%	14.42%	-	-	-	-	24.49%
44	Kuwait	24.44%	-	-	-	-	-	24.44%
45	Cook Islands	-	24.18%	-	-	-	-	24.18%
46	Brazil	20.92%	20.41%	20.33%	22.22%	20.96%	20.71%	24.11%
47	Finland	37.48%	23.16%	22.66%	19.56%	20.81%	20.77%	24.07%
48	Zimbabwe	-	23.35%	-	-	-	-	23.35%
49	Slovenia	29.81%	22.52%	21.82%	20.63%	22.35%	22.84%	23.33%
50	Belize	-	12.34%	21.57%	29.02%	30.8%	22.4%	23.23%
51	Czech Republic	22.03%	21.96%	21.89%	24.78%	25.79%	22.53%	23.16%
52	Italy	22.09%	22.62%	21.37%	23.25%	25.34%	23.81%	23.08%
53	San Marino	19.67%	-	-	24.8%	24.17%	22.75%	22.85%
54	Slovakia	18.91%	19.12%	19.28%	24.15%	27.43%	27.16%	22.68%
55	United Kingdom	19.77%	21.9%	20.13%	22.44%	23.45%	25.86%	22.26%
56	Lithuania	18.37%	16.98%	17.22%	16.97%	19.54%	18.69%	22.12%
57	Malawi	26.58%	25.69%	14.07%	-	-	-	22.11%
58	Croatia	20.04%	22.66%	-	21.49%	24.18%	21.45%	21.96%
59	India	22.75%	24.65%	-	21.08%	20.26%	20.98%	21.94%
60	Maldives	-	-	-	21.33%	-	-	21.33%
61	Ivory Coast	-	-	36.96%	19.9%	16.43%	11.85%	21.29%
62	Timor-Leste	-	18.46%	23.66%	-	-	-	21.06%
63	Bulgaria	18.59%	19.96%	-	20.1%	22.67%	23.91%	21.05%
64	Bahrain	-	16.1%	16.46%	-	-	-	20.8%
65	Hungary	20.93%	16.49%	29.63%	19.67%	19.73%	18.11%	20.76%
66	Oman	14.87%	18.34%	-	-	28.95%	-	20.72%
67	Curaçao	-	20.64%	-	-	-	-	20.64%
68	Argentina	21.11%	22.37%	22.24%	18.45%	20.57%	16.78%	20.25%
69	Spain	26.45%	17.35%	17.05%	18.46%	21.41%	20.69%	20.24%
70	Switzerland	22.92%	20.9%	20.64%	18.72%	19.59%	18.51%	20.21%
71	Russia	-	19.89%	-	-	-	-	19.89%
72	New Zealand	-	13.96%	14%	13.34%	16.23%	15.81%	19.84%
73	Togo	19.77%	-	-	-	-	-	19.77%
74	Poland	22.98%	20.17%	20.1%	18.83%	18.62%	17.18%	19.65%
75	Saint Lucia	17.99%	18.58%	20.19%	19.9%	21.05%	-	19.54%
76	Israel	-	-	17.43%	19.67%	21.02%	19.83%	19.49%
77	Jordan	21.64%	-	-	18.46%	-	18.37%	19.49%
78	Luxembourg	17.23%	18.68%	19.53%	19.97%	21.04%	20.37%	19.47%
79	Bolivia	12.26%	15.47%	18.97%	22.97%	23.9%	22.45%	19.33%
80	Laos	13.4%	23.97%	19.88%	-	-	-	19.08%
81	Estonia	28.06%	18.34%	17.88%	17.52%	15.86%	15.4%	18.84%
82	Ireland	30.22%	25.22%	22.94%	11.97%	12.06%	10.37%	18.8%
83	Greece	-	-	-	18.42%	-	-	18.42%
84	Comoros	-	6.38%	7.3%	-	-	-	18.32%
85	Mexico	19.17%	19.07%	19.45%	15.1%	17.06%	17.68%	17.92%
86	Madagascar	17.18%	-	-	-	-	-	17.18%
87	Iceland	16.8%	14.5%	15.23%	18.71%	19.34%	17.2%	16.97%
88	Armenia	-	17.61%	20.44%	-	16.98%	12.64%	16.92%
89	Chile	15.7%	15.11%	15.21%	18.98%	19.44%	16.15%	16.76%
90	Romania	11.59%	14.92%	16.26%	19.56%	19.38%	18.11%	16.64%
91	Azerbaijan	-	-	-	11.95%	20.59%	16.97%	16.5%
92	Trinidad and Tobago	-	-	-	-	18.85%	12.39%	15.62%
93	Türkiye	16.75%	18.29%	17.69%	16.26%	13.35%	10.6%	15.49%
94	Iran	14.96%	16.14%	13.67%	-	16.68%	-	15.36%
95	Kazakhstan	-	9.33%	9.72%	-	-	-	14.48%
96	Indonesia	-	10.84%	11.1%	-	-	-	14.29%
97	Sri Lanka	6.86%	6.3%	-	-	-	-	14.14%
98	Paraguay	16.21%	-	-	-	13.43%	11.66%	13.77%
99	Cameroon	13.57%	-	-	-	-	-	13.57%
100	Seychelles	-	11.55%	15.02%	-	-	-	13.29%
101	Egypt	-	-	-	14.98%	-	11.23%	13.11%
102	Dominican Republic	6.44%	12.72%	12.7%	15.99%	16.83%	13.58%	13.04%
103	Uruguay	13.47%	14.25%	14.53%	15.25%	8.94%	8.72%	12.53%
104	Bermuda	-	-	11.9%	-	-	-	11.9%
105	Nepal	13.59%	9.61%	11.06%	-	-	-	11.42%
106	Benin	-	11.13%	-	-	-	-	11.13%
107	Andorra	-	10.46%	9.17%	13.68%	-	-	11.1%
108	El Salvador	-	8.92%	9.34%	10.64%	12.42%	12.53%	10.77%
109	Bangladesh	15.31%	-	-	9%	7.53%	-	10.61%
110	Cape Verde	-	-	13.4%	7.48%	-	-	10.44%
111	Monaco	16.21%	14.21%	7.12%	6.18%	-	8.04%	10.35%
112	Sao Tome and Principe	-	16%	4.61%	-	-	-	10.3%
113	Lebanon	8.94%	-	-	-	-	-	8.94%
114	Ecuador	3.31%	3.34%	3.34%	5.14%	5.31%	4.52%	7.3%
115	Sierra Leone	7.43%	5.12%	-	8.8%	8.39%	6.7%	7.29%
116	Albania	-	4.01%	-	4.39%	-	-	7.04%
117	Cayman Islands	-	-	-	3.61%	3.45%	4.4%	6.76%
118	DR Congo	-	5.61%	-	-	-	-	5.61%
119	Guatemala	4.13%	3.87%	4.66%	4.59%	4.19%	4.35%	5.44%
120	Tajikistan	-	3.16%	-	-	-	-	3.16%

Methodology

This analysis presents government spending on high school per student across 158 countries, expressed as a percentage of GDP per capita. Data comes from UNESCO Institute for Statistics (UIS) with coverage from 2000-2024 where available, with 2026 projections. The indicator measures public government expenditure on high school education (ISCED 3) per enrolled student, standardized by dividing by GDP per capita to enable cross-country comparison across nations with different economic sizes. Only countries with actual spending data (value > 0) are included in this analysis.

Government spending includes all public expenditure on high school education, encompassing teacher salaries, school infrastructure, materials, equipment, and operational costs. The percentage of GDP per capita standardization accounts for differences in national wealth, enabling meaningful comparison between countries with vastly different economic capacities. Higher percentages indicate greater public investment in high school education relative to average income levels.

The 2026 projections represent scenario-informed comparative assessments based on individual country analysis. Each country was evaluated considering historical spending patterns, education policy changes, government budget trends, and economic context. The analysis identified that government high school spending data concentrates in specific years (2011, 2013, 2014, 2019, 2020, 2021) with the most comprehensive country coverage. Rather than forcing data into a fixed recent year range, the projection methodology uses these years with maximum data availability to establish reliable baseline patterns. For each country, trend analysis was conducted examining whether spending patterns showed increasing, declining, stable, or volatile characteristics. Income level classification (high-income, upper-middle-income, lower-middle-income, low-income) was considered for each country to contextualize spending levels and growth potential. Saturation effects were applied to countries with high spending (>30% of GDP per capita), recognizing that very high spending levels typically grow more slowly. For countries with volatile data, projections stabilized around average values rather than extrapolating fluctuations. These are indicative estimates reflecting probable direction and magnitude, not precise forecasts or official predictions.

Data quality varies significantly across countries. Government high school spending measurement depends on reliable government budget reporting and education statistics systems. Developed countries generally provide comprehensive and reliable data, while developing countries often have incomplete coverage or measurement challenges. Some countries show data gaps in recent years, requiring projection based on historical patterns and regional context. These data quality variations are reflected in projection confidence levels.

Several countries show notable patterns requiring specific consideration. Countries with well-funded public education systems typically show high and stable government high school spending, reflecting comprehensive government commitment to secondary education. Countries with limited government budgets show lower spending. Some countries show increasing government spending trends as education becomes a policy priority, while others show declining trends as governments face budget constraints or shift priorities.

Policy changes significantly affect government high school spending patterns. Countries implementing education reforms or increasing education budgets typically show rising government spending. Conversely, countries facing economic crises or reducing education budgets show declining spending. Political transitions and changes in education policy priorities also influence spending patterns.

The relationship between government high school spending and education outcomes varies across countries. Some countries achieve good outcomes with moderate spending through efficient resource allocation and quality teaching. Other countries with high spending show variable outcomes depending on implementation effectiveness. Optimal high school education financing combines adequate government investment with efficient resource use and quality management.