Statistical performance indicators (SPI): Pillar 1 data use score (scale 0-100) by country
The data use overall score is a composite score measuring the demand side of the statistical system. The data use pillar is segmented by five types of users: (i) the legislature, (ii) the executive branch, (iii) civil society (including sub-national actors), (iv) academia and (v) international bodies. Each...
Countries reporting
215
Highest
100 scale 0-100
Albania
Lowest
10 scale 0-100
North Korea
Median
80 scale 0-100
Years covered
21
2004–2024
Data points
4,593
What the numbers show
Statistical performance indicators (SPI): Pillar 1 data use score (scale 0-100) is currently reported for 215 countries. The highest value is 100 scale 0-100 in Albania; the lowest is 10 scale 0-100 in North Korea.
The median across all reporting countries is 80 scale 0-100, and the mean is 74.8 scale 0-100.
The gap between the highest and lowest reporting country is a factor of about 10.
Over the past decade 185 countries rose and 9 fell. The largest increase was in New Caledonia (up 500.0%), and the largest decrease in Libya (down 50.0%).
Statistical performance indicators (SPI): Pillar 1 data use score: full country ranking
| # | Country | Latest | Year | 10-year change | Trend |
|---|---|---|---|---|---|
| 1 | Albania | 100 scale 0-100 | 2024 | up 100.0% | rising |
| 1 | Austria | 100 scale 0-100 | 2024 | up 66.7% | rising |
| 1 | Belgium | 100 scale 0-100 | 2024 | up 66.7% | rising |
| 1 | Bulgaria | 100 scale 0-100 | 2024 | up 66.7% | rising |
| 1 | Canada | 100 scale 0-100 | 2024 | up 66.7% | rising |
| 1 | Switzerland | 100 scale 0-100 | 2024 | up 66.7% | rising |
| 1 | Chile | 100 scale 0-100 | 2024 | up 66.7% | rising |
| 1 | Costa Rica | 100 scale 0-100 | 2024 | up 66.7% | rising |
| 1 | Cyprus | 100 scale 0-100 | 2024 | up 66.7% | rising |
| 1 | Czechia | 100 scale 0-100 | 2024 | up 66.7% | rising |
| 1 | Germany | 100 scale 0-100 | 2024 | up 66.7% | rising |
| 1 | Denmark | 100 scale 0-100 | 2024 | up 66.7% | rising |
| 1 | Dominican Republic | 100 scale 0-100 | 2024 | up 66.7% | rising |
| 1 | Ecuador | 100 scale 0-100 | 2024 | up 66.7% | rising |
| 1 | Spain | 100 scale 0-100 | 2024 | up 66.7% | rising |
| 1 | Estonia | 100 scale 0-100 | 2024 | up 66.7% | rising |
| 1 | Finland | 100 scale 0-100 | 2024 | up 66.7% | rising |
| 1 | France | 100 scale 0-100 | 2024 | up 66.7% | rising |
| 1 | United Kingdom | 100 scale 0-100 | 2024 | up 66.7% | rising |
| 1 | Georgia | 100 scale 0-100 | 2024 | up 100.0% | rising |
| 1 | Greece | 100 scale 0-100 | 2024 | up 66.7% | rising |
| 1 | Croatia | 100 scale 0-100 | 2024 | up 66.7% | rising |
| 1 | Indonesia | 100 scale 0-100 | 2024 | up 66.7% | rising |
| 1 | Ireland | 100 scale 0-100 | 2024 | up 66.7% | rising |
| 1 | Iceland | 100 scale 0-100 | 2024 | up 150.0% | volatile |
| 1 | Israel | 100 scale 0-100 | 2024 | up 66.7% | rising |
| 1 | Italy | 100 scale 0-100 | 2024 | up 66.7% | rising |
| 1 | Jamaica | 100 scale 0-100 | 2024 | up 150.0% | rising |
| 1 | Japan | 100 scale 0-100 | 2024 | up 66.7% | rising |
| 1 | Kazakhstan | 100 scale 0-100 | 2024 | up 66.7% | rising |
| 1 | Kyrgyzstan | 100 scale 0-100 | 2024 | up 66.7% | rising |
| 1 | South Korea | 100 scale 0-100 | 2024 | up 66.7% | rising |
| 1 | Lithuania | 100 scale 0-100 | 2024 | up 66.7% | rising |
| 1 | Luxembourg | 100 scale 0-100 | 2024 | up 150.0% | volatile |
| 1 | Latvia | 100 scale 0-100 | 2024 | up 66.7% | rising |
| 1 | Moldova | 100 scale 0-100 | 2024 | up 66.7% | rising |
| 1 | Mexico | 100 scale 0-100 | 2024 | up 66.7% | rising |
| 1 | North Macedonia | 100 scale 0-100 | 2024 | up 66.7% | rising |
| 1 | Mali | 100 scale 0-100 | 2024 | up 100.0% | rising |
| 1 | Malta | 100 scale 0-100 | 2024 | up 66.7% | volatile |
| 1 | Nigeria | 100 scale 0-100 | 2024 | up 100.0% | volatile |
| 1 | Norway | 100 scale 0-100 | 2024 | up 66.7% | rising |
| 1 | New Zealand | 100 scale 0-100 | 2024 | up 66.7% | rising |
| 1 | Panama | 100 scale 0-100 | 2024 | up 66.7% | rising |
| 1 | Peru | 100 scale 0-100 | 2024 | up 100.0% | rising |
| 1 | Philippines | 100 scale 0-100 | 2024 | up 66.7% | rising |
| 1 | Poland | 100 scale 0-100 | 2024 | up 66.7% | rising |
| 1 | Portugal | 100 scale 0-100 | 2024 | up 66.7% | rising |
| 1 | Romania | 100 scale 0-100 | 2024 | up 66.7% | rising |
| 1 | Senegal | 100 scale 0-100 | 2024 | up 150.0% | volatile |
| 1 | Singapore | 100 scale 0-100 | 2024 | up 66.7% | rising |
| 1 | Serbia | 100 scale 0-100 | 2024 | up 66.7% | rising |
| 1 | Slovenia | 100 scale 0-100 | 2024 | up 66.7% | rising |
| 1 | Sweden | 100 scale 0-100 | 2024 | up 66.7% | rising |
| 1 | Thailand | 100 scale 0-100 | 2024 | up 66.7% | rising |
| 1 | Ukraine | 100 scale 0-100 | 2024 | up 66.7% | rising |
| 1 | Uruguay | 100 scale 0-100 | 2024 | up 66.7% | rising |
| 1 | United States | 100 scale 0-100 | 2024 | up 66.7% | rising |
| 1 | Vietnam | 100 scale 0-100 | 2024 | up 66.7% | rising |
| 1 | Zimbabwe | 100 scale 0-100 | 2024 | up 233.3% | volatile |
| 61 | United Arab Emirates | 90 scale 0-100 | 2024 | up 125.0% | volatile |
| 61 | Argentina | 90 scale 0-100 | 2024 | up 50.0% | rising |
| 61 | Armenia | 90 scale 0-100 | 2024 | up 50.0% | rising |
| 61 | Benin | 90 scale 0-100 | 2024 | up 200.0% | volatile |
| 61 | Burkina Faso | 90 scale 0-100 | 2024 | up 200.0% | volatile |
| 61 | Ethiopia | 90 scale 0-100 | 2024 | up 80.0% | rising |
| 61 | Gambia | 90 scale 0-100 | 2024 | up 200.0% | volatile |
| 61 | Guatemala | 90 scale 0-100 | 2024 | up 80.0% | rising |
| 61 | Honduras | 90 scale 0-100 | 2024 | up 80.0% | rising |
| 61 | Hungary | 90 scale 0-100 | 2024 | up 50.0% | rising |
| 61 | Kenya | 90 scale 0-100 | 2024 | up 200.0% | volatile |
| 61 | Laos | 90 scale 0-100 | 2024 | up 125.0% | rising |
| 61 | Sri Lanka | 90 scale 0-100 | 2024 | up 50.0% | rising |
| 61 | Montenegro | 90 scale 0-100 | 2024 | up 50.0% | rising |
| 61 | Mongolia | 90 scale 0-100 | 2024 | up 50.0% | rising |
| 61 | Mozambique | 90 scale 0-100 | 2024 | up 200.0% | rising |
| 61 | Mauritius | 90 scale 0-100 | 2024 | up 80.0% | volatile |
| 61 | Niger | 90 scale 0-100 | 2024 | up 50.0% | volatile |
| 61 | Pakistan | 90 scale 0-100 | 2024 | up 50.0% | rising |
| 61 | Rwanda | 90 scale 0-100 | 2024 | up 125.0% | rising |
| 61 | El Salvador | 90 scale 0-100 | 2024 | up 80.0% | rising |
| 61 | Slovakia | 90 scale 0-100 | 2024 | up 50.0% | rising |
| 61 | Seychelles | 90 scale 0-100 | 2024 | up 350.0% | volatile |
| 61 | Tunisia | 90 scale 0-100 | 2024 | up 80.0% | rising |
| 61 | Uzbekistan | 90 scale 0-100 | 2024 | — | volatile |
| 61 | Zambia | 90 scale 0-100 | 2024 | up 80.0% | rising |
| 87 | Belarus | 86.6 scale 0-100 | 2024 | up 73.2% | rising |
| 88 | Brazil | 83.4 scale 0-100 | 2024 | up 66.8% | rising |
| 89 | Antigua and Barbuda | 80 scale 0-100 | 2024 | — | volatile |
| 89 | Australia | 80 scale 0-100 | 2024 | up 33.3% | rising |
| 89 | Azerbaijan | 80 scale 0-100 | 2024 | up 100.0% | rising |
| 89 | Bangladesh | 80 scale 0-100 | 2024 | up 60.0% | rising |
| 89 | Belize | 80 scale 0-100 | 2024 | up 100.0% | rising |
| 89 | Bolivia | 80 scale 0-100 | 2024 | up 60.0% | rising |
| 89 | Barbados | 80 scale 0-100 | 2024 | up 100.0% | rising |
| 89 | Brunei | 80 scale 0-100 | 2024 | up 100.0% | volatile |
| 89 | Cote d'Ivoire | 80 scale 0-100 | 2024 | up 300.0% | rising |
| 89 | Colombia | 80 scale 0-100 | 2024 | up 33.3% | rising |
| 89 | Comoros | 80 scale 0-100 | 2024 | up 100.0% | volatile |
| 89 | Cape Verde | 80 scale 0-100 | 2024 | up 100.0% | rising |
| 89 | Egypt | 80 scale 0-100 | 2024 | up 33.3% | rising |
| 89 | Fiji | 80 scale 0-100 | 2024 | up 60.0% | rising |
| 89 | Guinea-Bissau | 80 scale 0-100 | 2024 | up 300.0% | volatile |
| 89 | Grenada | 80 scale 0-100 | 2024 | up 100.0% | volatile |
| 89 | India | 80 scale 0-100 | 2024 | up 100.0% | rising |
| 89 | Jordan | 80 scale 0-100 | 2024 | up 60.0% | rising |
| 89 | Lebanon | 80 scale 0-100 | 2024 | up 166.7% | volatile |
| 89 | Saint Lucia | 80 scale 0-100 | 2024 | up 100.0% | volatile |
| 89 | Lesotho | 80 scale 0-100 | 2024 | up 100.0% | rising |
| 89 | Mauritania | 80 scale 0-100 | 2024 | up 60.0% | rising |
| 89 | Malawi | 80 scale 0-100 | 2024 | up 60.0% | volatile |
| 89 | Malaysia | 80 scale 0-100 | 2024 | up 33.3% | rising |
| 89 | Netherlands | 80 scale 0-100 | 2024 | up 100.0% | volatile |
| 89 | Qatar | 80 scale 0-100 | 2024 | up 100.0% | rising |
| 89 | Saudi Arabia | 80 scale 0-100 | 2024 | up 100.0% | volatile |
| 89 | Eswatini | 80 scale 0-100 | 2024 | up 300.0% | volatile |
| 89 | Togo | 80 scale 0-100 | 2024 | up 166.7% | volatile |
| 89 | Tajikistan | 80 scale 0-100 | 2024 | up 100.0% | rising |
| 89 | East Timor | 80 scale 0-100 | 2024 | up 60.0% | rising |
| 89 | Tonga | 80 scale 0-100 | 2024 | up 300.0% | volatile |
| 89 | Tanzania | 80 scale 0-100 | 2024 | up 60.0% | rising |
| 89 | Samoa | 80 scale 0-100 | 2024 | up 60.0% | rising |
| 89 | South Africa | 80 scale 0-100 | 2024 | up 33.3% | rising |
| 124 | Russia | 76.6 scale 0-100 | 2024 | up 27.7% | rising |
| 125 | China | 73.4 scale 0-100 | 2024 | up 46.8% | rising |
| 126 | Bahamas | 70 scale 0-100 | 2024 | up 75.0% | rising |
| 126 | Bosnia and Herzegovina | 70 scale 0-100 | 2024 | up 40.0% | rising |
| 126 | Bhutan | 70 scale 0-100 | 2024 | up 40.0% | rising |
| 126 | Cameroon | 70 scale 0-100 | 2024 | up 75.0% | rising |
| 126 | Ghana | 70 scale 0-100 | 2024 | up 75.0% | rising |
| 126 | Madagascar | 70 scale 0-100 | 2024 | up 16.7% | rising |
| 126 | Maldives | 70 scale 0-100 | 2024 | up 133.3% | volatile |
| 126 | Myanmar | 70 scale 0-100 | 2024 | up 133.3% | volatile |
| 126 | Nauru | 70 scale 0-100 | 2024 | up 133.3% | rising |
| 126 | Oman | 70 scale 0-100 | 2024 | up 133.3% | rising |
| 126 | Palau | 70 scale 0-100 | 2024 | up 133.3% | volatile |
| 126 | Paraguay | 70 scale 0-100 | 2024 | up 133.3% | rising |
| 126 | Palestine | 70 scale 0-100 | 2024 | up 75.0% | rising |
| 126 | Sierra Leone | 70 scale 0-100 | 2024 | up 40.0% | volatile |
| 126 | San Marino | 70 scale 0-100 | 2024 | — | volatile |
| 126 | Trinidad and Tobago | 70 scale 0-100 | 2024 | up 75.0% | rising |
| 126 | Uganda | 70 scale 0-100 | 2024 | up 16.7% | rising |
| 143 | Afghanistan | 66.6 scale 0-100 | 2024 | up 122.0% | volatile |
| 143 | Guinea | 66.6 scale 0-100 | 2024 | up 66.5% | volatile |
| 143 | Iran | 66.6 scale 0-100 | 2024 | up 11.0% | rising |
| 146 | Chad | 63.4 scale 0-100 | 2024 | up 111.3% | rising |
| 147 | Angola | 60 scale 0-100 | 2024 | up 200.0% | rising |
| 147 | Andorra | 60 scale 0-100 | 2024 | — | rising |
| 147 | Bahrain | 60 scale 0-100 | 2024 | up 100.0% | rising |
| 147 | Curacao | 60 scale 0-100 | 2024 | up 200.0% | volatile |
| 147 | Algeria | 60 scale 0-100 | 2024 | up 50.0% | rising |
| 147 | Gabon | 60 scale 0-100 | 2024 | up 50.0% | rising |
| 147 | Guyana | 60 scale 0-100 | 2024 | up 200.0% | volatile |
| 147 | Iraq | 60 scale 0-100 | 2024 | up 50.0% | rising |
| 147 | Cambodia | 60 scale 0-100 | 2024 | up 50.0% | rising |
| 147 | Saint Kitts and Nevis | 60 scale 0-100 | 2024 | — | volatile |
| 147 | Kuwait | 60 scale 0-100 | 2024 | up 100.0% | rising |
| 147 | Liberia | 60 scale 0-100 | 2024 | up 50.0% | volatile |
| 147 | Morocco | 60 scale 0-100 | 2024 | up 20.0% | rising |
| 147 | Monaco | 60 scale 0-100 | 2024 | up 200.0% | rising |
| 147 | New Caledonia | 60 scale 0-100 | 2024 | up 500.0% | volatile |
| 147 | Nicaragua | 60 scale 0-100 | 2024 | unchanged | rising |
| 147 | Nepal | 60 scale 0-100 | 2024 | up 200.0% | rising |
| 147 | Solomon Islands | 60 scale 0-100 | 2024 | up 100.0% | rising |
| 147 | Somalia | 60 scale 0-100 | 2024 | — | volatile |
| 147 | Sao Tome and Principe | 60 scale 0-100 | 2024 | up 200.0% | volatile |
| 147 | Turkmenistan | 60 scale 0-100 | 2024 | — | volatile |
| 147 | Venezuela | 60 scale 0-100 | 2024 | up 50.0% | rising |
| 147 | British Virgin Islands | 60 scale 0-100 | 2024 | up 200.0% | volatile |
| 171 | Vanuatu | 56.6 scale 0-100 | 2024 | up 88.7% | rising |
| 172 | Burundi | 50 scale 0-100 | 2024 | up 25.0% | rising |
| 172 | Botswana | 50 scale 0-100 | 2024 | up 25.0% | rising |
| 172 | Central African Republic | 50 scale 0-100 | 2024 | up 150.0% | rising |
| 172 | Dominica | 50 scale 0-100 | 2024 | — | volatile |
| 172 | Kiribati | 50 scale 0-100 | 2024 | up 66.7% | rising |
| 172 | Papua New Guinea | 50 scale 0-100 | 2024 | up 400.0% | volatile |
| 172 | Puerto Rico | 50 scale 0-100 | 2024 | up 150.0% | volatile |
| 172 | Turks and Caicos Islands | 50 scale 0-100 | 2024 | — | volatile |
| 172 | Turkey | 50 scale 0-100 | 2024 | up 150.0% | rising |
| 172 | Tuvalu | 50 scale 0-100 | 2024 | up 66.7% | rising |
| 172 | Saint Vincent and the Grenadines | 50 scale 0-100 | 2024 | up 150.0% | rising |
| 183 | Sudan | 46.6 scale 0-100 | 2024 | up 16.5% | rising |
| 183 | Suriname | 46.6 scale 0-100 | 2024 | up 133.0% | rising |
| 183 | Yemen | 46.6 scale 0-100 | 2024 | down 6.8% | volatile |
| 186 | Aruba | 40 scale 0-100 | 2024 | up 100.0% | volatile |
| 186 | American Samoa | 40 scale 0-100 | 2024 | up 300.0% | volatile |
| 186 | Bermuda | 40 scale 0-100 | 2024 | up 100.0% | volatile |
| 186 | Democratic Republic of Congo | 40 scale 0-100 | 2024 | up 33.3% | rising |
| 186 | Cuba | 40 scale 0-100 | 2024 | unchanged | rising |
| 186 | Djibouti | 40 scale 0-100 | 2024 | — | volatile |
| 186 | Faroe Islands | 40 scale 0-100 | 2024 | — | volatile |
| 186 | Gibraltar | 40 scale 0-100 | 2024 | — | volatile |
| 186 | Greenland | 40 scale 0-100 | 2024 | up 300.0% | volatile |
| 186 | Guam | 40 scale 0-100 | 2024 | up 100.0% | volatile |
| 186 | Hong Kong | 40 scale 0-100 | 2024 | — | volatile |
| 186 | Haiti | 40 scale 0-100 | 2024 | down 20.0% | rising |
| 186 | Isle of Man | 40 scale 0-100 | 2024 | up 300.0% | volatile |
| 186 | Liechtenstein | 40 scale 0-100 | 2024 | up 300.0% | volatile |
| 186 | Macao | 40 scale 0-100 | 2024 | — | volatile |
| 186 | Saint Martin (French part) | 40 scale 0-100 | 2024 | — | volatile |
| 186 | Northern Mariana Islands | 40 scale 0-100 | 2024 | up 300.0% | volatile |
| 186 | Namibia | 40 scale 0-100 | 2024 | down 20.0% | rising |
| 186 | French Polynesia | 40 scale 0-100 | 2024 | up 300.0% | volatile |
| 186 | United States Virgin Islands | 40 scale 0-100 | 2024 | — | volatile |
| 207 | Congo | 30 scale 0-100 | 2024 | down 40.0% | volatile |
| 207 | Cayman Islands | 30 scale 0-100 | 2024 | up 50.0% | volatile |
| 207 | Marshall Islands | 30 scale 0-100 | 2024 | up 200.0% | rising |
| 207 | Sint Maarten (Dutch part) | 30 scale 0-100 | 2024 | — | volatile |
| 211 | Syria | 26.6 scale 0-100 | 2024 | down 46.8% | falling |
| 212 | Micronesia (country) | 20 scale 0-100 | 2024 | down 33.3% | rising |
| 212 | Libya | 20 scale 0-100 | 2024 | down 50.0% | rising |
| 212 | South Sudan | 20 scale 0-100 | 2024 | — | falling |
| 215 | Eritrea | 16.6 scale 0-100 | 2024 | down 17.0% | rising |
| 216 | Equatorial Guinea | 10 scale 0-100 | 2024 | down 50.0% | volatile |
| 216 | North Korea | 10 scale 0-100 | 2024 | — | volatile |
Regions and income groups
Aggregates are excluded from the country ranking above so that a region can never outrank a country.
- Kosovo 60 scale 0-100
- Channel Islands 40 scale 0-100
- High income 77.62 scale 0-100
- Lower middle income 75.61 scale 0-100
- Upper middle income 74.57 scale 0-100
- Low income 64.39 scale 0-100
About this data
The data use overall score is a composite score measuring the demand side of the statistical system. The data use pillar is segmented by five types of users: (i) the legislature, (ii) the executive branch, (iii) civil society (including sub-national actors), (iv) academia and (v) international bodies. Each dimension would have associated indicators to measure performance. A mature system would score well across all dimensions whereas a less mature one would have weaker scores along certain dimensions. The gaps would give insights into prioritization among user groups and help answer questions as to why the existing services are not resulting in higher use of national statistics in a particular segment. Currently, the SPI only features indicators for one of the five dimensions of data use, which is data use by international organizations. Indicators on whether statistical systems are providing useful data to their national governments (legislature and executive branches), to civil society, and to academia are absent. Thus the dashboard does not yet assess if national statistical systems are meeting the data needs of a large swathe of users.