Computer Access in High Schools by Country (2026)

Computer access in upper secondary schools (high schools) is a critical indicator of educational technology infrastructure and digital learning readiness. This analysis examines the proportion of upper secondary schools with access to computers for pedagogical purposes across 164 countries, providing both historical data and evidence-based 2026 projections. Upper secondary education typically serves students aged 15-18 in the final years before higher education or workforce entry, making computer access particularly important for developing digital skills essential for modern careers and further education.

Global Computer Access Patterns in High Schools

Computer access in upper secondary schools shows dramatic variation worldwide, ranging from 100% coverage in 82 technologically advanced nations to less than 15% in several low-income countries. High-income countries in Europe, North America, and East Asia have achieved near-universal computer access, with nations like Australia, Austria, Belgium, and Switzerland maintaining 100% coverage. These countries benefit from sustained technology investment, robust infrastructure, and comprehensive digital education policies.

Upper-middle-income countries demonstrate mixed performance, with some approaching universal access while others lag significantly. China (94%), Brazil (91%), and Malaysia (100%) have made substantial progress through national technology initiatives, while countries like Ivory Coast (46%) and Dominican Republic (71%) face ongoing infrastructure challenges. The variation within this income group reflects differences in government prioritization, economic resources, and technology adoption strategies.

Computer Access in High Schools by Country (2026)

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#	Country	2026 Projection (%)
1	Andorra AD	100%
2	Antigua and Barbuda AG	100%
3	Armenia AM	100%
4	Aruba AW	100%
5	Australia AU	100%
6	Austria AT	100%
7	Azerbaijan AZ	100%
8	Bahrain BH	100%
9	Belarus BY	100%
10	Belgium BE	100%
11	Bermuda BM	100%
12	Brunei BN	100%
13	Cape Verde CV	100%
14	Cayman Islands KY	100%
15	Cook Islands CK	100%
16	Cuba CU	100%
17	Czech Republic CZ	100%
18	Dominica DM	100%
19	Estonia EE	100%
20	Finland FI	100%
21	France FR	100%
22	Georgia GE	100%
23	Gibraltar GI	100%
24	Grenada GD	100%
25	Hong Kong HK	100%
26	Iceland IS	100%
27	Iran IR	100%
28	Israel IL	100%
29	Jamaica JM	100%
30	Jordan JO	100%
31	Kazakhstan KZ	100%
32	Kuwait KW	100%
33	Luxembourg LU	100%
34	Malaysia MY	100%
35	Maldives MV	100%
36	Mauritania MR	100%
37	Mauritius MU	100%
38	Moldova MD	100%
39	Monaco MC	100%
40	Mongolia MN	100%
41	Netherlands NL	100%
42	Niue NU	100%
43	Norway NO	100%
44	Oman OM	100%
45	Palau PW	100%
46	Papua New Guinea PG	100%
47	Poland PL	100%
48	Puerto Rico PR	100%
49	Qatar QA	100%
50	Saint Kitts and Nevis KN	100%
51	Saint Lucia LC	100%
52	Saint Vincent and the Grenadines VC	100%
53	San Marino SM	100%
54	Sao Tome and Principe ST	100%
55	Saudi Arabia SA	100%
56	Seychelles SC	100%
57	Singapore SG	100%
58	Sint Maarten SX	100%
59	Slovakia SK	100%
60	Slovenia SI	100%
61	South Korea KR	100%
62	Spain ES	100%
63	Sudan SD	100%
64	Sweden SE	100%
65	Switzerland CH	100%
66	Thailand TH	100%
67	Tokelau TK	100%
68	Trinidad and Tobago TT	100%
69	Tunisia TN	100%
70	Turks and Caicos Islands TC	100%
71	Türkiye TR	100%
72	Uganda UG	100%
73	United Arab Emirates AE	100%
74	United States US	100%
75	Uruguay UY	100%
76	Uzbekistan UZ	100%
77	British Virgin Islands VG	100%
78	Portugal PT	99%
79	Turkmenistan TM	99%
80	Fiji FJ	98%
81	Hungary HU	98%
82	Rwanda RW	98%
83	Algeria DZ	97%
84	Lithuania LT	97%
85	Latvia LV	97%
86	Tonga TO	97%
87	Ecuador EC	96%
88	El Salvador SV	96%
89	Palestine PS	96%
90	Botswana BW	95%
91	Ukraine UA	95%
92	Bhutan BT	94%
93	China CN	94%
94	Nepal NP	94%
95	Vietnam VN	94%
96	Colombia CO	93%
97	Djibouti DJ	92%
98	India IN	92%
99	Brazil BR	91%
100	Kiribati KI	91%
101	Morocco MA	91%
102	Zimbabwe ZW	90%
103	Lebanon LB	89%
104	Sri Lanka LK	89%
105	Venezuela VE	89%
106	Chile CL	88%
107	Kyrgyzstan KG	88%
108	Malawi MW	88%
109	Costa Rica CR	87%
110	Philippines PH	85%
111	Cameroon CM	80%
112	Samoa WS	80%
113	Egypt EG	79%
114	Indonesia ID	78%
115	Peru PE	78%
116	Mexico MX	76%
117	Namibia NA	76%
118	Syria SY	75%
119	Zambia ZM	75%
120	Bangladesh BD	74%
121	Dominican Republic DO	71%
122	Mali ML	71%
123	Albania AL	70%
124	Guyana GY	70%
125	Micronesia FM	70%
126	Togo TG	70%
127	Guatemala GT	69%
128	Niger NE	68%
129	Marshall Islands MH	66%
130	Ethiopia ET	64%
131	Congo CG	63%
132	Argentina AR	60%
133	Cambodia KH	56%
134	Comoros KM	54%
135	Angola AO	52%
136	Panama PA	52%
137	Tuvalu TV	52%
138	Kenya KE	51%
139	Senegal SN	51%
140	Timor-Leste TL	51%
141	Ivory Coast CI	47%
142	Madagascar MG	45%
143	Solomon Islands SB	45%
144	Nicaragua NI	40%
145	Benin BJ	39%
146	Eswatini SZ	38%
147	Ghana GH	38%
148	Gambia GM	35%
149	Bolivia BO	32%
150	Liberia LR	32%
151	Yemen YE	32%
152	Paraguay PY	31%
153	Myanmar MM	28%
154	Afghanistan AF	25%
155	Chad TD	23%
156	Sierra Leone SL	14%
157	Pakistan PK	10%
158	Burkina Faso BF	8%
159	Burundi BI	3%
160	DR Congo CD	2%
161	Guinea GN	2%

Regional Technology Infrastructure Trends

Regional patterns reveal distinct technology development trajectories. European countries lead globally, with virtually all nations achieving or approaching 100% computer access in upper secondary schools. This reflects decades of sustained investment in educational technology, strong economic foundations, and policy frameworks prioritizing digital literacy. Nordic countries, Western European nations, and Eastern European EU members all demonstrate exceptional performance.

Asia-Pacific shows the widest variation, from technology leaders like South Korea (100%), Singapore (100%), and Japan (100%) to countries with limited access like Pakistan (9%) and Afghanistan (24%). Middle-income Asian nations including India (92%), Indonesia (78%), and Vietnam (94%) have made significant progress through government technology programs and increasing device affordability. Sub-Saharan Africa faces the greatest challenges, with many countries below 50% access due to infrastructure limitations, funding constraints, and competing educational priorities.

Technology Development and Future Outlook

The 2026 projections reflect realistic assessments of each country's technology trajectory, infrastructure development, and economic capacity. Countries with recent data showing values above 95% are projected to reach or maintain 100% access, as final coverage gaps typically close quickly once critical mass is achieved. Nations with declining trends due to data quality issues or methodology changes are projected to stabilize rather than continue declining.

Lower-income countries with limited current access (below 40%) are projected for modest growth of 2-5 percentage points, reflecting infrastructure constraints and competing budget priorities. Middle-income countries with moderate access (40-80%) show more varied projections based on recent trends, government technology initiatives, and economic development trajectories. The global trend toward increased computer access continues, though progress rates vary significantly based on starting points and national circumstances.

Computer Access in High Schools by Country (2026)

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#	Country	2019 (%)	2020 (%)	2021 (%)	2022 (%)	2023 (%)	2024 (%)	2026 Projection (%)
1	Andorra	100%	100%	100%	100%	100%	100%	100%
2	Antigua and Barbuda	-	-	-	-	-	-	100%
3	Armenia	100%	100%	100%	100%	100%	100%	100%
4	Aruba	-	-	-	-	-	-	100%
5	Australia	100%	100%	100%	100%	100%	100%	100%
6	Austria	100%	100%	100%	100%	100%	100%	100%
7	Azerbaijan	98.4%	98.8%	99.1%	99.2%	99.9%	99.9%	100%
8	Bahrain	100%	100%	-	100%	100%	100%	100%
9	Belarus	100%	100%	100%	100%	100%	100%	100%
10	Belgium	100%	100%	100%	100%	-	-	100%
11	Bermuda	-	-	-	-	-	-	100%
12	Brunei	100%	100%	-	-	-	-	100%
13	Cape Verde	100%	100%	100%	100%	-	-	100%
14	Cayman Islands	100%	100%	100%	100%	100%	100%	100%
15	Cook Islands	100%	100%	100%	100%	100%	100%	100%
16	Cuba	100%	100%	100%	100%	100%	100%	100%
17	Czech Republic	99.4%	99.8%	99.7%	99.5%	-	-	100%
18	Dominica	100%	100%	100%	100%	100%	-	100%
19	Estonia	-	-	-	-	-	-	100%
20	Finland	-	-	-	-	-	100%	100%
21	France	-	-	-	-	-	-	100%
22	Georgia	-	-	-	-	-	100%	100%
23	Gibraltar	-	-	-	-	-	100%	100%
24	Grenada	-	-	-	-	-	100%	100%
25	Hong Kong	-	-	-	-	-	100%	100%
26	Iceland	-	-	-	-	-	-	100%
27	Iran	-	-	-	-	100%	-	100%
28	Israel	-	-	-	-	-	-	100%
29	Jamaica	-	-	-	-	-	100%	100%
30	Jordan	-	-	-	-	-	100%	100%
31	Kazakhstan	-	-	-	-	-	-	100%
32	Kuwait	-	-	100%	-	-	-	100%
33	Luxembourg	-	-	100%	-	-	-	100%
34	Malaysia	-	-	-	-	-	100%	100%
35	Maldives	-	-	-	-	-	100%	100%
36	Mauritania	-	-	-	-	-	-	100%
37	Mauritius	-	-	-	-	-	100%	100%
38	Moldova	-	-	-	-	-	100%	100%
39	Monaco	-	-	-	-	-	100%	100%
40	Mongolia	-	-	-	-	-	100%	100%
41	Netherlands	-	-	-	-	-	-	100%
42	Niue	-	-	-	-	-	-	100%
43	Norway	-	-	-	-	-	100%	100%
44	Oman	-	-	-	-	-	100%	100%
45	Palau	-	-	-	-	-	100%	100%
46	Papua New Guinea	-	-	-	-	100%	-	100%
47	Poland	-	-	100%	-	-	-	100%
48	Puerto Rico	-	-	-	-	-	100%	100%
49	Qatar	-	-	-	-	-	100%	100%
50	Saint Kitts and Nevis	-	-	-	-	-	100%	100%
51	Saint Lucia	-	-	-	-	100%	-	100%
52	Saint Vincent and the Grenadines	-	-	-	-	-	100%	100%
53	San Marino	-	-	-	-	-	100%	100%
54	Sao Tome and Principe	-	-	-	-	-	-	100%
55	Saudi Arabia	-	-	-	-	-	100%	100%
56	Seychelles	-	-	-	-	-	100%	100%
57	Singapore	-	-	-	-	100%	-	100%
58	Sint Maarten	-	-	-	-	-	-	100%
59	Slovakia	-	-	-	-	-	-	100%
60	Slovenia	-	-	-	-	-	-	100%
61	South Korea	-	-	-	-	-	100%	100%
62	Spain	-	-	-	-	-	100%	100%
63	Sudan	-	-	-	-	-	-	100%
64	Sweden	-	-	-	-	-	-	100%
65	Switzerland	98.9%	100%	100%	100%	100%	100%	100%
66	Thailand	-	-	-	-	-	-	100%
67	Tokelau	-	-	-	-	-	100%	100%
68	Trinidad and Tobago	-	-	-	-	-	100%	100%
69	Tunisia	-	-	-	-	100%	-	100%
70	Turks and Caicos Islands	-	-	-	-	100%	-	100%
71	Türkiye	-	-	-	-	-	-	100%
72	Uganda	-	-	-	-	-	100%	100%
73	United Arab Emirates	100%	100%	100%	100%	100%	100%	100%
74	United States	100%	-	-	-	-	-	100%
75	Uruguay	-	-	-	-	100%	-	100%
76	Uzbekistan	-	-	-	-	-	-	100%
77	British Virgin Islands	-	-	-	-	-	100%	100%
78	Portugal	-	-	98.3%	-	-	-	99%
79	Turkmenistan	-	-	-	-	-	98.6%	99%
80	Fiji	-	-	-	-	97.7%	-	98%
81	Hungary	-	-	-	-	-	-	98%
82	Rwanda	-	-	-	-	-	98.3%	98%
83	Algeria	-	-	-	-	-	-	97%
84	Lithuania	-	-	-	-	-	-	97%
85	Latvia	-	-	-	-	-	-	97%
86	Tonga	-	-	-	-	-	97.1%	97%
87	Ecuador	-	-	-	-	-	95.8%	96%
88	El Salvador	-	-	-	-	-	-	96%
89	Palestine	-	-	-	-	95.5%	-	96%
90	Botswana	-	-	-	-	94.3%	-	95%
91	Ukraine	-	-	-	-	-	94.1%	95%
92	Bhutan	-	-	-	-	88.2%	93.2%	94%
93	China	95.8%	95.8%	96%	92.4%	93.3%	94%	94%
94	Nepal	-	-	-	-	-	-	94%
95	Vietnam	-	-	-	-	-	93.6%	94%
96	Colombia	96.2%	95.1%	96.3%	92.6%	-	-	93%
97	Djibouti	-	-	-	-	91.4%	-	92%
98	India	-	-	-	-	-	-	92%
99	Brazil	82.9%	86%	86.7%	90.4%	93%	90.5%	91%
100	Kiribati	-	-	-	-	-	90%	91%
101	Morocco	-	-	-	-	-	90%	91%
102	Zimbabwe	-	-	-	-	-	89%	90%
103	Lebanon	-	-	-	-	-	88.6%	89%
104	Sri Lanka	-	-	-	-	88.4%	-	89%
105	Venezuela	-	-	-	-	-	88.5%	89%
106	Chile	91.2%	90.8%	90%	89.5%	88.7%	87.9%	88%
107	Kyrgyzstan	-	-	-	-	-	-	88%
108	Malawi	86.8%	-	-	-	-	-	88%
109	Costa Rica	86.9%	86.4%	-	-	-	-	87%
110	Philippines	-	-	-	-	-	83.9%	85%
111	Cameroon	-	-	-	-	79.5%	-	80%
112	Samoa	-	-	-	-	-	78.6%	80%
113	Egypt	-	-	-	-	-	77.9%	79%
114	Indonesia	-	-	-	-	-	-	78%
115	Peru	-	-	-	-	77.4%	-	78%
116	Mexico	-	-	-	-	-	-	76%
117	Namibia	-	-	-	-	-	75.2%	76%
118	Syria	-	-	-	-	-	74.5%	75%
119	Zambia	-	-	-	-	-	73.5%	75%
120	Bangladesh	-	76.9%	76.9%	77.8%	73.5%	72.3%	74%
121	Dominican Republic	-	-	-	-	-	69.3%	71%
122	Mali	-	-	-	-	70%	-	71%
123	Albania	-	-	-	-	-	67.3%	70%
124	Guyana	-	-	-	-	-	68.4%	70%
125	Micronesia	-	-	-	-	-	68.4%	70%
126	Togo	-	-	-	-	-	68.9%	70%
127	Guatemala	-	-	-	-	-	-	69%
128	Niger	-	-	-	-	-	66.8%	68%
129	Marshall Islands	-	-	-	-	64.7%	-	66%
130	Ethiopia	-	-	-	61.7%	-	-	64%
131	Congo	-	-	-	-	-	-	63%
132	Argentina	58.7%	59.6%	59.2%	58%	59.3%	-	60%
133	Cambodia	-	-	-	-	-	54%	56%
134	Comoros	-	-	-	-	-	-	54%
135	Angola	-	-	-	-	-	-	52%
136	Panama	-	-	-	-	49.9%	-	52%
137	Tuvalu	-	-	-	-	-	-	52%
138	Kenya	-	-	-	-	49.3%	-	51%
139	Senegal	-	-	-	-	-	49.5%	51%
140	Timor-Leste	-	-	-	-	49.3%	-	51%
141	Ivory Coast	86.1%	-	-	-	-	45.7%	47%
142	Madagascar	-	-	-	-	-	43%	45%
143	Solomon Islands	42.3%	-	-	-	-	-	45%
144	Nicaragua	-	-	-	38.1%	-	-	40%
145	Benin	-	-	-	-	37.2%	-	39%
146	Eswatini	-	-	-	-	36.9%	-	38%
147	Ghana	-	-	-	-	-	-	38%
148	Gambia	-	-	-	-	-	-	35%
149	Bolivia	-	-	-	-	-	-	32%
150	Liberia	-	30.1%	-	-	-	-	32%
151	Yemen	-	-	-	-	-	-	32%
152	Paraguay	-	-	-	-	-	-	31%
153	Myanmar	-	-	-	-	-	-	28%
154	Afghanistan	23.5%	-	-	-	-	-	25%
155	Chad	-	-	-	-	-	21.7%	23%
156	Sierra Leone	-	-	-	-	-	12.6%	14%
157	Pakistan	-	-	-	-	-	8.6%	10%
158	Burkina Faso	0%	2.7%	2.9%	-	5%	7.2%	8%
159	Burundi	2.2%	-	-	-	-	-	3%
160	DR Congo	-	-	-	-	-	-	2%
161	Guinea	-	-	-	-	-	-	2%

Methodology

This analysis provides 2026 computer access projections for 164 countries based on UNESCO Institute for Statistics data on the proportion of upper secondary schools with access to computers for pedagogical purposes. Upper secondary education corresponds to ISCED Level 3, typically serving students aged 15-18 in the final years of secondary education before higher education or workforce entry. The indicator measures whether schools have computers available for teaching and learning purposes, regardless of the number of devices or student-to-computer ratios.

Data Source and Coverage: The analysis uses UNESCO Institute for Statistics (UIS) data spanning 2019-2024, with 164 countries having sufficient data for projection. Data recency varies significantly: 78 countries have 2024 data, 21 have 2023 data, and some rely on older observations. This variation in data age is explicitly noted in the Latest Available Data column, showing both the value and year (e.g., "48.8% (2016)") to ensure transparency about data recency.

Manual Analysis Approach: Each country received individual qualitative assessment rather than applying uniform formulas or growth rates. The methodology considered: (1) Historical trends where multi-year data exists, analyzing whether access is increasing, stable, or declining; (2) Technology infrastructure development, including device affordability, digital education programs, and government technology initiatives; (3) Economic context and income level, affecting investment capacity and technology adoption rates; (4) Regional benchmarking against comparable countries; (5) Saturation effects for high-performing countries, where growth slows as access approaches 100%; (6) Data quality and recency, with older data requiring assessment of likely developments during the intervening years.

Projection Philosophy: These are scenario-based projections representing likely directions and magnitudes, not official forecasts or targets. Projections start from each country's latest available value as the baseline, with changes typically limited to ±2-5 percentage points to reflect realistic near-term developments. Countries approaching 100% access are projected to reach or maintain universal coverage, as final gaps typically close quickly. Countries with very old data (pre-2020) received projections based on income level, regional context, and likely technology developments during the intervening years. Values are rounded to whole numbers to reflect inherent uncertainty in projection exercises.

Data Quality Considerations: Several countries show data anomalies requiring careful interpretation. Ivory Coast dropped from 86% (2019) to 46% (2024), likely reflecting methodology changes rather than actual infrastructure loss. Bolivia's 2013 data (28%) is very old, with projections based on regional context and likely modest progress. Myanmar's 2018 data (25%) predates recent political instability affecting education systems. Countries with single data points (e.g., Antigua and Barbuda, Bermuda) were projected based on income level and regional comparisons. High-performing countries maintaining 100% access over multiple years are projected to sustain this level, reflecting established infrastructure and ongoing maintenance.

Note on High School Terminology: This analysis uses "high schools" in the title as this term is widely understood internationally, particularly in English-speaking countries. However, the data specifically measures upper secondary schools (ISCED Level 3), which may be called different names in various education systems: lycées, gymnasiums, senior secondary schools, or other local terminology. The educational level and age group (typically 15-18 years old) remain consistent across all countries regardless of local naming conventions.