Average population exposure to light pollution — share living under a night sky brighter than 1% of natural (2015)
Share of people living under a night sky >1% brighter than natural, based on the World Atlas of Artificial Night Sky Brightness (2015).
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Key Insights
- •Many densely populated and highly urbanized countries have near-universal exposure to light-polluted skies at the 1% threshold (approaching 100%).
- •Lower-income or less electrified countries often have much smaller shares of the population above the 1% threshold, though growth in outdoor lighting can change this quickly.
- •Because the metric is population-weighted, a country with large dark areas can still show high exposure if most residents live in brightly lit urban corridors.
Country Rankings
Top 10 Countries
Bottom 10 Countries
Data Analysis
Value Distribution
How countries are distributed across the value range
Regional Comparison
Average values by world region (Global avg: 75.9%)
About This Statistic
This statistic estimates the percentage of each country’s population living under night skies where artificial skyglow makes the sky at least 1% brighter than its natural background level. It is a widely used threshold for “light-polluted” skies because it marks a level where human-caused sky brightness becomes detectable and begins to degrade visibility of faint stars.
The underlying global model comes from the World Atlas of Artificial Night Sky Brightness (2015), which combines satellite measurements of upward radiance with atmospheric scattering modelling and terrain/altitude adjustments. Population exposure is then computed by overlaying the modeled sky brightness map with gridded population counts and aggregating results to the national level. This offers a globally comparable view of how much of each country’s population experiences degraded night skies due to outdoor lighting.
Full Data
| Rank ↑ | Country ↕ | Value ↕ |
|---|---|---|
| 1 | People's Republic of China | 100.0% |
| 2 | Denmark | 100.0% |
| 3 | Finland | 100.0% |
| 4 | Israel | 100.0% |
| 5 | South Korea | 100.0% |
| 6 | Kuwait | 100.0% |
| 7 | Oman | 100.0% |
| 8 | Netherlands | 100.0% |
| 9 | Poland | 100.0% |
| 10 | Russian Federation | 100.0% |
| 11 | Saudi Arabia | 100.0% |
| 12 | Singapore | 100.0% |
| 13 | Sweden | 100.0% |
| 14 | United Arab Emirates | 100.0% |
| 15 | Belgium | 100.0% |
| 16 | Bulgaria | 99.0% |
| 17 | Belarus | 99.0% |
| 18 | Croatia | 99.0% |
| 19 | Czech Republic | 99.0% |
| 20 | Benin | 99.0% |
| 21 | Estonia | 99.0% |
| 22 | France | 99.0% |
| 23 | Germany | 99.0% |
| 24 | Greece | 99.0% |
| 25 | Hungary | 99.0% |
| 26 | Iceland | 99.0% |
| 27 | India | 99.0% |
| 28 | Islamic Republic of Iran | 99.0% |
| 29 | Iraq | 99.0% |
| 30 | Ireland | 99.0% |
| 31 | Italy | 99.0% |
| 32 | Japan | 99.0% |
| 33 | Jordan | 99.0% |
| 34 | Lao People's Democratic Republic | 99.0% |
| 35 | Lebanon | 99.0% |
| 36 | Latvia | 99.0% |
| 37 | Lithuania | 99.0% |
| 38 | Luxembourg | 99.0% |
| 39 | Mexico | 99.0% |
| 40 | Montenegro | 99.0% |
| 41 | Pakistan | 99.0% |
| 42 | Portugal | 99.0% |
| 43 | Romania | 99.0% |
| 44 | Serbia | 99.0% |
| 45 | Slovakia | 99.0% |
| 46 | Slovenia | 99.0% |
| 47 | Spain | 99.0% |
| 48 | Switzerland | 99.0% |
| 49 | Syrian Arab Republic | 99.0% |
| 50 | Thailand | 99.0% |
| 51 | Tunisia | 99.0% |
| 52 | Türkiye | 99.0% |
| 53 | Ukraine | 99.0% |
| 54 | Egypt | 99.0% |
| 55 | United Kingdom | 99.0% |
| 56 | United States of America | 99.0% |
| 57 | Afghanistan | 99.0% |
| 58 | Algeria | 99.0% |
| 59 | Armenia | 99.0% |
| 60 | Barbados | 99.0% |
| 61 | Norway | 98.0% |
| 62 | Panama | 98.0% |
| 63 | Botswana | 98.0% |
| 64 | Georgia | 97.0% |
| 65 | Philippines | 97.0% |
| 66 | Colombia | 96.0% |
| 67 | Costa Rica | 96.0% |
| 68 | Cuba | 96.0% |
| 69 | El Salvador | 96.0% |
| 70 | Moldova, Republic of | 96.0% |
| 71 | Uruguay | 96.0% |
| 72 | Uzbekistan | 96.0% |
| 73 | Dominican Republic | 95.0% |
| 74 | South Africa | 95.0% |
| 75 | Venezuela | 95.0% |
| 76 | Cyprus | 94.0% |
| 77 | Malaysia | 94.0% |
| 78 | Trinidad and Tobago | 94.0% |
| 79 | Indonesia | 93.0% |
| 80 | Jamaica | 93.0% |
| 81 | Belize | 93.0% |
| 82 | Kazakhstan | 92.0% |
| 83 | Paraguay | 92.0% |
| 84 | Australia | 92.0% |
| 85 | Austria | 92.0% |
| 86 | Bangladesh | 92.0% |
| 87 | Brazil | 92.0% |
| 88 | Chile | 91.0% |
| 89 | Canada | 90.0% |
| 90 | Guatemala | 90.0% |
| 91 | Kyrgyzstan | 90.0% |
| 92 | Fiji | 88.0% |
| 93 | Honduras | 88.0% |
| 94 | Haiti | 87.0% |
| 95 | Ecuador | 86.0% |
| 96 | Argentina | 86.0% |
| 97 | Morocco | 85.0% |
| 98 | New Zealand | 85.0% |
| 99 | Nigeria | 85.0% |
| 100 | Peru | 83.0% |
| 101 | Nicaragua | 77.0% |
| 102 | Sri Lanka | 76.0% |
| 103 | Ghana | 72.0% |
| 104 | Albania | 72.0% |
| 105 | Bolivia | 66.0% |
| 106 | Vietnam | 64.0% |
| 107 | Cote d'Ivoire | 60.0% |
| 108 | Libya | 60.0% |
| 109 | Bosnia and Herzegovina | 56.0% |
| 110 | Nepal | 52.0% |
| 111 | Sudan | 52.0% |
| 112 | Angola | 51.0% |
| 113 | Namibia | 46.0% |
| 114 | Guinea-Bissau | 45.0% |
| 115 | Papua New Guinea | 41.0% |
| 116 | Cameroon | 32.0% |
| 117 | Kenya | 30.0% |
| 118 | Republic of the Congo | 28.0% |
| 119 | New Caledonia | 27.0% |
| 120 | Togo | 26.0% |
| 121 | Guinea | 24.0% |
| 122 | Myanmar | 23.0% |
| 123 | Timor-Leste | 23.0% |
| 124 | Mauritania | 22.0% |
| 125 | Senegal | 22.0% |
| 126 | Mongolia | 20.0% |
| 127 | Cambodia | 19.0% |
| 128 | Zambia | 19.0% |
| 129 | Sierra Leone | 18.0% |
| 130 | Zimbabwe | 18.0% |
| 131 | Yemen | 18.0% |
| 132 | Burundi | 16.0% |
| 133 | Madagascar | 16.0% |
| 134 | Burkina Faso | 16.0% |
| 135 | Democratic Republic of the Congo | 15.0% |
| 136 | Uganda | 15.0% |
| 137 | United Republic of Tanzania | 15.0% |
| 138 | Chad | 13.0% |
| 139 | Malawi | 12.0% |
| 140 | Rwanda | 12.0% |
| 141 | Mali | 11.0% |
| 142 | Ethiopia | 10.0% |
| 143 | Niger | 10.0% |
| 144 | Somalia | 10.0% |
| 145 | South Sudan | 6.0% |
| 146 | Eritrea | 5.0% |
Topics
Data Source
This data comes from Scientific Reports (Falchi et al., 2016) / World Atlas of Artificial Night Sky Brightness (2015 model) (2015).
View Original Source