Congo - Overall level of statistical capacity (scale 0 - 100)

The value for Overall level of statistical capacity (scale 0 - 100) in Congo was 38.89 as of 2020. As the graph below shows, over the past 16 years this indicator reached a maximum value of 54.44 in 2010 and a minimum value of 38.89 in 2020.

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:

Year Value
2004 42.22
2005 44.44
2006 51.11
2007 52.22
2008 48.89
2009 54.44
2010 54.44
2011 50.00
2012 50.00
2013 52.22
2014 47.78
2015 50.00
2016 50.00
2017 48.89
2018 48.89
2019 45.56
2020 38.89

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

Classification

Topic: Public Sector Indicators

Sub-Topic: Policy & institutions