Overall level of statistical capacity (scale 0 - 100) - Country Ranking - Europe

Definition: The Statistical Capacity Indicator is a composite score assessing the capacity of a country’s statistical system. It is based on a diagnostic framework assessing the following areas: methodology; data sources; and periodicity and timeliness. Countries are scored against 25 criteria in these areas, using publicly available information and/or country input. The overall Statistical Capacity score is then calculated as a simple average of all three area scores on a scale of 0-100.

Source: World Bank, Bulletin Board on Statistical Capacity (http://bbsc.worldbank.org).

See also: Thematic map, Time series comparison

Find indicator:
Rank Country Value Year
1 Moldova 91.11 2020
2 Latvia 90.00 2016
3 Serbia 88.89 2020
4 Albania 87.78 2020
5 Croatia 86.67 2020
6 Hungary 85.56 2016
6 Bulgaria 85.56 2020
6 Montenegro 85.56 2020
9 Romania 84.44 2020
10 Slovak Republic 83.33 2016
10 Belarus 83.33 2020
10 Lithuania 83.33 2016
13 Turkey 81.11 2020
14 Poland 78.89 2020
15 Estonia 77.78 2016
16 North Macedonia 72.22 2020
17 Ukraine 72.22 2020
18 Bosnia and Herzegovina 60.00 2020

More rankings: Africa | Asia | Central America & the Caribbean | Europe | Middle East | North America | Oceania | South America | World |

Development Relevance: Statistical Capacity is a nation’s ability to collect, analyze, and disseminate high-quality data about its population and economy. Quality statistics are essential for all stages of evidence-based decision-making, including: Monitoring social and economic indicators, Allocating political representation and government resources, Guiding private sector investment, as well as Informing the international donor community for program design and policy formulation.

Statistical Concept and Methodology: The Statistical Capacity Indicator score is calculated as the average of the scores of the 3 dimensions, i.e. Availability, Collection, Practice.

Aggregation method: Unweighted average

Periodicity: Annual