Eswatini SZ: SPI: Pillar 4 Data Sources Score: Scale 0-100

Eswatini SZ: SPI: Pillar 4 Data Sources Score: Scale 0-100 data was reported at 32.633 NA in 2024. This records an increase from the previous number of 30.983 NA for 2023. Eswatini SZ: SPI: Pillar 4 Data Sources Score: Scale 0-100 data is updated yearly, averaging 33.350 NA from Mar 2016 (Median) to 2024, with 9 observations. The data reached an all-time high of 38.125 NA in 2020 and a record low of 30.983 NA in 2023. Eswatini SZ: 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 Eswatini – Table SZ.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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