Singapore SG: SPI: Pillar 4 Data Sources Score: Scale 0-100

Singapore SG: SPI: Pillar 4 Data Sources Score: Scale 0-100 data was reported at 95.875 NA in 2025. This records an increase from the previous number of 94.175 NA for 2024. Singapore SG: SPI: Pillar 4 Data Sources Score: Scale 0-100 data is updated yearly, averaging 78.208 NA from Mar 2017 (Median) to 2025, with 9 observations. The data reached an all-time high of 95.875 NA in 2025 and a record low of 62.408 NA in 2017. Singapore SG: 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 Singapore – Table SG.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, World Bank (WB), uri: https://datacatalog.worldbank.org/dataset/statistical-performance-indicators;Weighted average;

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