Angola AO: SPI: Pillar 4 Data Sources Score: Scale 0-100

Angola AO: SPI: Pillar 4 Data Sources Score: Scale 0-100 data was reported at 28.867 NA in 2019. This stayed constant from the previous number of 28.867 NA for 2018. Angola AO: SPI: Pillar 4 Data Sources Score: Scale 0-100 data is updated yearly, averaging 28.867 NA from Dec 2016 to 2019, with 4 observations. The data reached an all-time high of 30.567 NA in 2016 and a record low of 28.167 NA in 2017. Angola AO: SPI: Pillar 4 Data Sources Score: Scale 0-100 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Angola – Table AO.World Bank.WDI: Governance: Policy and Institutions. The data sources overall score is a composity measure of whether countries have data available from the following sources: Censuses and surveys, administrative data, geospatial data, and private sector/citizen generated data. The data sources (input) pillar is segmented by four types of sources generated by (i) the statistical office (censuses and surveys), and sources accessed from elsewhere such as (ii) administrative data, (iii) geospatial data, and (iv) private sector data and citizen generated data. The appropriate balance between these source types will vary depending on a country’s institutional setting and the maturity of its statistical system. High scores should reflect the extent to which the sources being utilized enable the necessary statistical indicators to be generated. For example, a low score on environment statistics (in the data production pillar) may reflect a lack of use of (and low score for) geospatial data (in the data sources pillar). This type of linkage is inherent in the data cycle approach and can help highlight areas for investment required if country needs are to be met.;Statistical Performance Indicators, The World Bank (https://datacatalog.worldbank.org/dataset/statistical-performance-indicators);Weighted average;

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