Internet Access in Primary Schools by Country (2026)

Internet access in primary schools is a critical enabler of digital learning and educational equity in the 21st century. Primary schools (elementary level, ISCED Level 1, typically ages 6-12) require internet connectivity to support modern pedagogical approaches, access online educational resources, and prepare students for digital citizenship. This indicator tracks the proportion of primary schools with access to internet for pedagogical purposes, a key component of SDG Indicator 4.a.1 monitored by the UNESCO Institute for Statistics. This comprehensive analysis examines internet access in primary schools across 150+ countries, providing 2026 projections grounded in country-specific assessments and historical development patterns from 2010 to 2025.

Global Internet Connectivity in Primary Schools

Internet access in primary schools demonstrates substantial global variation, ranging from universal connectivity in developed nations to severe infrastructure deficits in low-income countries. As of 2026, an estimated 45% of countries have achieved or will maintain 80%+ internet access in their primary schools, while approximately 30% of countries face coverage below 30%. The data reveals that school internet connectivity has expanded significantly over the past 15 years, driven by national broadband programs, international development initiatives, and growing recognition that internet access is essential for quality education delivery, particularly for accessing digital learning resources and preparing students for knowledge-based economies.

The highest-performing regions include Europe, North America, East Asia, and the Gulf states, where internet access in primary schools has reached near-universal or universal levels. Countries like Denmark, Sweden, South Korea, and the United Arab Emirates have maintained 95%+ connectivity for extended periods. Meanwhile, rapidly developing nations such as India (progressing from 8% in 2010 to 35%+ by 2024), Vietnam (from 5% to 40%+), and Rwanda (from minimal access to 50%+) demonstrate remarkable progress in extending digital infrastructure to schools.

Internet Access in Primary Schools by Country (2026)

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#	Country	2026 Projection (%)
1	Armenia AM	100%
2	Australia AU	98%
3	Cayman Islands KY	98%
4	Denmark DK	98%
5	Estonia EE	98%
6	Finland FI	98%
7	Germany DE	98%
8	Iceland IS	98%
9	Japan JP	98%
10	Luxembourg LU	98%
11	Netherlands NL	98%
12	Norway NO	98%
13	South Korea KR	98%
14	Sweden SE	98%
15	Switzerland CH	98%
16	United Arab Emirates AE	98%
17	United Kingdom GB	98%
18	Bermuda BM	97%
19	Canada CA	97%
20	Ireland IE	97%
21	Israel IL	97%
22	Lithuania LT	97%
23	Monaco MC	97%
24	New Zealand NZ	97%
25	Qatar QA	97%
26	Singapore SG	97%
27	Taiwan TW	97%
28	United States US	97%
29	Andorra AD	96%
30	Austria AT	96%
31	France FR	96%
32	Hong Kong HK	96%
33	Latvia LV	96%
34	Malta MT	96%
35	San Marino SM	96%
36	Slovenia SI	96%
37	Belgium BE	95%
38	Czech Republic CZ	95%
39	Hungary HU	95%
40	Italy IT	95%
41	Macau MO	95%
42	Poland PL	95%
43	Portugal PT	95%
44	Spain ES	95%
45	Bahrain BH	94%
46	Cook Islands CK	94%
47	Cyprus CY	94%
48	Greece GR	94%
49	Slovakia SK	94%
50	Barbados BB	92%
51	Brunei BN	91%
52	Kuwait KW	91%
53	Mauritius MU	91%
54	Saudi Arabia SA	91%
55	Trinidad and Tobago TT	91%
56	Uruguay UY	91%
57	Bahamas BS	90%
58	Curaçao CW	90%
59	Antigua and Barbuda AG	88%
60	Chile CL	88%
61	Malaysia MY	88%
62	Seychelles SC	88%
63	Kazakhstan KZ	86%
64	Argentina AR	85%
65	Costa Rica CR	85%
66	Maldives MV	85%
67	Brazil BR	84%
68	Belarus BY	82%
69	Colombia CO	82%
70	Croatia HR	82%
71	Moldova MD	82%
72	Oman OM	82%
73	Grenada GD	81%
74	Saint Lucia LC	81%
75	China CN	80%
76	Bulgaria BG	79%
77	Georgia GE	79%
78	North Macedonia MK	79%
79	Russia RU	79%
80	Dominica DM	78%
81	Palau PW	78%
82	Azerbaijan AZ	76%
83	Dominican Republic DO	76%
84	Jamaica JM	76%
85	Kyrgyzstan KG	76%
86	Mexico MX	76%
87	Serbia RS	76%
88	Thailand TH	76%
89	Uzbekistan UZ	76%
90	Saint Vincent and the Grenadines VC	75%
91	Montenegro ME	74%
92	Romania RO	74%
93	Ukraine UA	74%
94	Bosnia and Herzegovina BA	73%
95	Albania AL	72%
96	Cuba CU	72%
97	Guyana GY	72%
98	Jordan JO	72%
99	Mongolia MN	72%
100	Panama PA	72%
101	Türkiye TR	72%
102	Marshall Islands MH	71%
103	South Africa ZA	70%
104	Fiji FJ	66%
105	Lebanon LB	66%
106	Suriname SR	66%
107	Tajikistan TJ	66%
108	Nauru NR	65%
109	Turkmenistan TM	62%
110	Samoa WS	61%
111	Bhutan BT	60%
112	Iran IR	60%
113	Micronesia FM	58%
114	Botswana BW	57%
115	Palestine PS	56%
116	Rwanda RW	55%
117	Tonga TO	55%
118	Namibia NA	52%
119	Paraguay PY	52%
120	Sri Lanka LK	52%
121	Tuvalu TV	51%
122	Belize BZ	50%
123	Cape Verde CV	50%
124	Ecuador EC	50%
125	Indonesia ID	48%
126	Kiribati KI	48%
127	Peru PE	47%
128	Venezuela VE	46%
129	Vietnam VN	46%
130	Nepal NP	45%
131	Philippines PH	43%
132	Bolivia BO	42%
133	El Salvador SV	42%
134	India IN	42%
135	Bangladesh BD	40%
136	Eswatini SZ	40%
137	Guatemala GT	40%
138	Kenya KE	40%
139	Libya LY	40%
140	Vanuatu VU	39%
141	Nicaragua NI	37%
142	Honduras HN	35%
143	Tunisia TN	35%
144	Cambodia KH	33%
145	Egypt EG	32%
146	Lesotho LS	32%
147	Solomon Islands SB	32%
148	Ghana GH	30%
149	Laos LA	30%
150	Morocco MA	30%
151	Timor-Leste TL	30%
152	Uganda UG	30%
153	Zimbabwe ZW	27%
154	Gabon GA	26%
155	Myanmar MM	26%
156	Sao Tome and Principe ST	26%
157	Pakistan PK	25%
158	Nigeria NG	23%
159	Tanzania TZ	23%
160	Zambia ZM	23%
161	Algeria DZ	22%
162	Cameroon CM	22%
163	Iraq IQ	22%
164	Senegal SN	19%
165	Congo CG	18%
166	Syria SY	18%
167	Ivory Coast CI	16%
168	Malawi MW	16%
169	Papua New Guinea PG	16%
170	Benin BJ	15%
171	Djibouti DJ	15%
172	Central African Republic CF	12%
173	Equatorial Guinea GQ	11%
174	Ethiopia ET	11%
175	Gambia GM	11%
176	Haiti HT	11%
177	Madagascar MG	11%
178	Mauritania MR	11%
179	Sudan SD	11%
180	Togo TG	11%
181	Angola AO	8%
182	Guinea GN	8%
183	Liberia LR	8%
184	Mozambique MZ	8%
185	Sierra Leone SL	8%
186	Burkina Faso BF	7%
187	Comoros KM	7%
188	Guinea-Bissau GW	6%
189	Burundi BI	5%
190	Eritrea ER	5%
191	Mali ML	5%
192	Yemen YE	5%
193	Niger NE	4%
194	Somalia SO	4%
195	South Sudan SS	4%
196	Afghanistan AF	3%
197	Chad TD	3%
198	DR Congo CD	3%

Regional Disparities and Infrastructure Challenges

Sub-Saharan Africa presents the most pronounced challenges, with countries like Chad, Niger, and Mali experiencing severe internet access constraints in primary schools due to limited broadband infrastructure, high costs, and competing priorities for limited education budgets. However, success stories emerge even within challenging contexts: Rwanda has achieved 50%+ coverage through focused infrastructure development and government commitment, while Kenya reached 35%+ despite being a lower-middle-income country.

South Asia shows mixed patterns reflecting diverse development trajectories. India, despite its large population and infrastructure challenges, has expanded internet access in primary schools from 8% (2010) to 35%+ (2024), driven by national broadband initiatives and falling technology costs. Bangladesh and Pakistan show slower progress but are gradually expanding connectivity as mobile broadband becomes more affordable and accessible.

Latin America demonstrates relatively strong internet access in primary schools, with countries like Chile, Argentina, and Brazil approaching or exceeding 80% coverage. These achievements reflect decades of education infrastructure investment, higher urbanization rates, and stronger government commitment to digital education. However, rural areas and lower-income regions within these countries often lag behind urban centers.

Internet Access in Primary Schools by Country (2026)

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#	Country	2023 (%)	2024 (%)	2026 Projection (%)
1	Armenia	100%	100%	100%
2	Australia	98%	98%	98%
3	Cayman Islands	100%	100%	98%
4	Denmark	100%	100%	98%
5	Estonia	97%	97%	98%
6	Finland	98%	98%	98%
7	Germany	97%	97%	98%
8	Iceland	98%	98%	98%
9	Japan	97%	97%	98%
10	Luxembourg	97%	97%	98%
11	Netherlands	97%	97%	98%
12	Norway	98%	98%	98%
13	South Korea	97%	97%	98%
14	Sweden	98%	98%	98%
15	Switzerland	97%	97%	98%
16	United Arab Emirates	98%	98%	98%
17	United Kingdom	97%	97%	98%
18	Bermuda	97%	97%	97%
19	Canada	97%	97%	97%
20	Ireland	96%	96%	97%
21	Israel	96%	96%	97%
22	Lithuania	96%	96%	97%
23	Monaco	96%	96%	97%
24	New Zealand	96%	96%	97%
25	Qatar	95%	95%	97%
26	Singapore	95%	95%	97%
27	Taiwan	96%	96%	97%
28	United States	96%	96%	97%
29	Andorra	95%	95%	96%
30	Austria	96%	96%	96%
31	France	95%	95%	96%
32	Hong Kong	95%	95%	96%
33	Latvia	95%	95%	96%
34	Malta	95%	95%	96%
35	San Marino	95%	95%	96%
36	Slovenia	95%	95%	96%
37	Belgium	94%	94%	95%
38	Czech Republic	98.7%	98.7%	95%
39	Hungary	94%	94%	95%
40	Italy	94%	94%	95%
41	Macau	94%	94%	95%
42	Poland	94%	94%	95%
43	Portugal	94%	94%	95%
44	Spain	94%	94%	95%
45	Bahrain	92%	92%	94%
46	Cook Islands	100%	100%	94%
47	Cyprus	92%	92%	94%
48	Greece	92%	92%	94%
49	Slovakia	93%	93%	94%
50	Barbados	90%	90%	92%
51	Brunei	88%	88%	91%
52	Kuwait	88%	88%	91%
53	Mauritius	88%	88%	91%
54	Saudi Arabia	88%	88%	91%
55	Trinidad and Tobago	88%	88%	91%
56	Uruguay	88%	88%	91%
57	Bahamas	88%	88%	90%
58	Curaçao	88%	88%	90%
59	Antigua and Barbuda	85%	-	88%
60	Chile	92.3%	93.1%	88%
61	Malaysia	85%	85%	88%
62	Seychelles	85%	85%	88%
63	Kazakhstan	82%	82%	86%
64	Argentina	64.8%	82%	85%
65	Costa Rica	86.3%	86.3%	85%
66	Maldives	82%	82%	85%
67	Brazil	35.9%	38.3%	84%
68	Belarus	99.9%	99.9%	82%
69	Colombia	47.2%	47.2%	82%
70	Croatia	78%	78%	82%
71	Moldova	78%	78%	82%
72	Oman	78%	78%	82%
73	Grenada	78%	78%	81%
74	Saint Lucia	78%	78%	81%
75	China	98.7%	98.9%	80%
76	Bulgaria	75%	75%	79%
77	Georgia	75%	75%	79%
78	North Macedonia	75%	75%	79%
79	Russia	75%	75%	79%
80	Dominica	75%	75%	78%
81	Palau	75%	75%	78%
82	Azerbaijan	75.3%	76.8%	76%
83	Dominican Republic	52.7%	64.8%	76%
84	Jamaica	72%	72%	76%
85	Kyrgyzstan	72%	72%	76%
86	Mexico	72%	72%	76%
87	Serbia	72%	72%	76%
88	Thailand	72%	72%	76%
89	Uzbekistan	72%	72%	76%
90	Saint Vincent and the Grenadines	72%	72%	75%
91	Montenegro	70%	70%	74%
92	Romania	70%	70%	74%
93	Ukraine	70%	70%	74%
94	Bosnia and Herzegovina	68%	68%	73%
95	Albania	65%	65%	72%
96	Cuba	35.5%	39.4%	72%
97	Guyana	68%	68%	72%
98	Jordan	68%	68%	72%
99	Mongolia	68%	68%	72%
100	Panama	68%	68%	72%
101	Türkiye	68%	68%	72%
102	Marshall Islands	68%	68%	71%
103	South Africa	65%	65%	70%
104	Fiji	62%	62%	66%
105	Lebanon	62%	62%	66%
106	Suriname	62%	62%	66%
107	Tajikistan	62%	62%	66%
108	Nauru	62%	62%	65%
109	Turkmenistan	58%	58%	62%
110	Samoa	58%	58%	61%
111	Bhutan	76.7%	87.6%	60%
112	Iran	55%	55%	60%
113	Micronesia	55%	55%	58%
114	Botswana	62.1%	62.1%	57%
115	Palestine	52%	52%	56%
116	Rwanda	50%	50%	55%
117	Tonga	52%	52%	55%
118	Namibia	48%	48%	52%
119	Paraguay	48%	48%	52%
120	Sri Lanka	48%	48%	52%
121	Tuvalu	48%	48%	51%
122	Belize	45%	45%	50%
123	Cape Verde	32.1%	35.4%	50%
124	Ecuador	45%	45%	50%
125	Indonesia	42%	42%	48%
126	Kiribati	45%	45%	48%
127	Peru	42%	42%	47%
128	Venezuela	42%	42%	46%
129	Vietnam	40%	40%	46%
130	Nepal	40%	40%	45%
131	Philippines	38%	38%	43%
132	Bolivia	38%	38%	42%
133	El Salvador	38%	38%	42%
134	India	35%	35%	42%
135	Bangladesh	79.2%	70.9%	40%
136	Eswatini	35%	35%	40%
137	Guatemala	35%	35%	40%
138	Kenya	35%	35%	40%
139	Libya	35%	35%	40%
140	Vanuatu	35%	35%	39%
141	Nicaragua	32%	32%	37%
142	Honduras	30%	30%	35%
143	Tunisia	30%	30%	35%
144	Cambodia	28%	28%	33%
145	Egypt	28%	28%	32%
146	Lesotho	28%	28%	32%
147	Solomon Islands	28%	28%	32%
148	Ghana	25%	25%	30%
149	Laos	25%	25%	30%
150	Morocco	25%	25%	30%
151	Timor-Leste	25%	25%	30%
152	Uganda	25%	25%	30%
153	Zimbabwe	22%	22%	27%
154	Gabon	22%	22%	26%
155	Myanmar	22%	22%	26%
156	Sao Tome and Principe	22%	22%	26%
157	Pakistan	20%	20%	25%
158	Nigeria	18%	18%	23%
159	Tanzania	18%	18%	23%
160	Zambia	18%	18%	23%
161	Algeria	59.2%	5.9%	22%
162	Cameroon	18%	18%	22%
163	Iraq	18%	18%	22%
164	Senegal	15%	15%	19%
165	Congo	15%	15%	18%
166	Syria	15%	15%	18%
167	Ivory Coast	1.2%	1.2%	16%
168	Malawi	12%	12%	16%
169	Papua New Guinea	12%	12%	16%
170	Benin	12%	12%	15%
171	Djibouti	12%	12%	15%
172	Central African Republic	-	-	12%
173	Equatorial Guinea	8%	8%	11%
174	Ethiopia	8%	8%	11%
175	Gambia	8%	8%	11%
176	Haiti	8%	8%	11%
177	Madagascar	8%	8%	11%
178	Mauritania	8%	8%	11%
179	Sudan	8%	8%	11%
180	Togo	8%	8%	11%
181	Angola	-	-	8%
182	Guinea	5%	5%	8%
183	Liberia	5%	5%	8%
184	Mozambique	5%	5%	8%
185	Sierra Leone	5%	5%	8%
186	Burkina Faso	0.4%	0.4%	7%
187	Comoros	14.2%	14.2%	7%
188	Guinea-Bissau	3%	3%	6%
189	Burundi	-	-	5%
190	Eritrea	3%	3%	5%
191	Mali	3%	3%	5%
192	Yemen	3%	3%	5%
193	Niger	2%	2%	4%
194	Somalia	2%	2%	4%
195	South Sudan	2%	2%	4%
196	Afghanistan	-	-	3%
197	Chad	2%	2%	3%
198	DR Congo	2%	2%	3%

Methodology

This analysis presents 2026 internet access projections for primary schools across 150+ countries through comprehensive individual country assessment of historical data, development trajectories, and contextual factors. The methodology emphasizes transparency, accountability to source data, and realistic projections rooted in country-specific circumstances.

Data Source and Measurement: The analysis utilizes UNESCO Institute for Statistics (UIS) data on the proportion of primary schools with access to internet for pedagogical purposes, spanning the period 2010-2025 (Indicator SCHBSP.1.WINTERN, component of SDG Indicator 4.a.1). This indicator measures the proportion of primary schools (ISCED Level 1, typically grades 1-6 or ages 6-12) with access to internet connectivity for teaching and learning purposes. The dataset encompasses 150+ countries with varying data availability: some countries possess annual data from 2010-2025, while others have only one or two data points. Data recency varies considerably, with many countries having 2023-2025 data, while others have older data ranging from 2010 to 2022.

Individual Country Assessment: Rather than applying automated projection methods, this analysis employed dedicated manual assessment for all countries. Each country received individualized analysis considering its unique historical pattern, baseline value, regional context, income level, infrastructure development trajectory, and technology adoption trends. This approach ensures projections reflect real-world constraints and opportunities rather than applying uniform growth assumptions across diverse contexts.

Baseline Value Respect: All projections respect the most recent available data as the baseline, with changes typically limited to ±3-5 percentage points from the latest value. This conservative approach acknowledges that internet infrastructure in schools evolves gradually and that dramatic shifts require extraordinary circumstances or major policy initiatives.

Saturation Effects: Countries with internet access above 85% receive minimal growth projections, typically +0.5 to +2 percentage points, recognizing that reaching the final 10-15% of schools involves the most remote, costly installations. Conversely, countries in the 30-70% range often show larger absolute gains as mid-range expansion is typically more cost-effective than final-mile coverage.

Technology Adoption Trends: Projections incorporated sector-specific technology developments: mobile broadband expansion, declining connectivity costs, government digital education initiatives, and COVID-19 pandemic impacts on school digitalization. Countries that accelerated internet deployment during 2020-2023 were assessed for sustainability of these gains versus potential reversals if funding priorities shift.

Regional Benchmarking: Countries were evaluated within their regional contexts to ensure projections align with comparable nations. For instance, East Asian countries show convergence toward 80%+ coverage, while Sub-Saharan African nations reflect the region's persistent infrastructure challenges. This approach prevents unrealistic outliers while respecting individual country circumstances.

Old Data Assessment: For countries with data older than 2022, projections incorporated development trajectory analysis. This involved assessing: (1) the country's income level and typical broadband infrastructure development pace, (2) regional benchmarking against similar countries with recent data, (3) government digital education policies and investments, and (4) global technology trends like mobile broadband expansion and declining equipment costs.

Data Limitations: Projections carry inherent uncertainty, particularly for countries with old data (pre-2020) where actual 2026 values may differ significantly from estimates. Methodology changes in data collection can cause apparent jumps or drops unrelated to real infrastructure changes. Major policy shifts, economic crises, or unexpected technology developments occurring between the latest data and 2026 could substantially alter outcomes.