
| Characteristic | Total cost (in million USD) | Shutdown duration (in hrs) | Affected internet users (in millions) |
|---|---|---|---|
| Russia | 4,020 | 1,353 | 113 |
| Ethiopia | 1,590 | 14,910 | 29.8 |
| Myanmar | 974 | 18,768 | 23.7 |
| Iran | 920.3 | 13,140 | 33.7 |
| India | 585.4 | 7,956 | 59.1 |
| Iraq | 328.5 | 465 | 20.6 |
| Pakistan | 237.6 | 259 | 82.9 |
| Algeria | 101.9 | 50 | 32.1 |
| Senegal | 57.5 | 3,946 | 8.01 |
| Azerbaijan | 52.3 | 3,495 | 8.6 |
| Guinea | 47.4 | 3,720 | 4.9 |
| Brazil | 46.2 | 48 | 174.2 |
| Mauritania | 38.5 | 482 | 2 |
| Yemen | 37.2 | 2,376 | 8.8 |
| Venezuela | 33.6 | 2 | 17.4 |
| Kenya | 27 | 192 | 15.6 |
| Sudan | 12.4 | 212 | 4.8 |
| Syria | 9.6 | 34 | 8.1 |
| Turkey | 5.8 | 12 | 70 |
| Gabon | 5.4 | 87 | 1.5 |
| Tanzania | 2.8 | 7,680 | 14 |
| Cuba | 1.7 | 2 | 8 |
| Chad | 0.8 | 14 | 1.8 |
| Zimbabwe | 0.5 | 24 | 4.4 |
| Suriname | 0.1 | 12 | 0.4 |
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Source
Release date
January 2024
Region
Worldwide
Survey time period
2023
Supplementary notes
The source adds the following information: "The economic cost of each internet shutdown is calculated using the Netblocks Cost of Shutdown Tool, which is based on the Brookings Institution method, with CIPESA’s specialized model used for sub-Saharan Africa. Regional shutdown costs are derived from the region’s economic output as a proportion of national GDP."
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