World Bank · Public Sector

Syrian Arab Republic: Statistical performance indicators (SPI): Pillar 4 data sources score

11.17ordinal scale (0-100) · 2024

The data sources overall score is a composite 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. Annual figures for Syrian Arab Republic from 2017 to 2024.

20172024

Every year

YearValue (ordinal scale (0-100))Note
202411.167
202311.617
202211.617
202111.967
202015.267
201916.042
201817.742
201718.417

Source

Published by World Bank, produced by World Bank. Licence: CC BY 4.0. Retrieved 2026-11-07.

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World Bank (2026). Statistical performance indicators (SPI): Pillar 4 data sources score. Interva. https://interva.co/dataset/worldbank-statistical-performance-indicators-spi-pillar-4-data-sources (accessed 2026-11-08). catalog snapshot 2026-11-07.

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Syrian Arab Republic: Statistical performance indicators (SPI): Pillar 4 data sources score (2017–2024) · Interva