Statistical performance indicators (SPI): Pillar 4 data sources score (scale 0-100) for Botswana
Indicator Definition:
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.
The indicator "Statistical performance indicators (SPI): Pillar 4 data sources score (scale 0-100)" stands at 62.75 as of 12/31/2023.
Regarding the One-Year-Change of the series, the current value is equal to the value the year prior.
The 1 year change in percent is 0.0.
The 3 year change in percent is 17.97.
The 5 year change in percent is 7.93.
The Serie's change in percent from it's minimum value, on 12/31/2020, to it's latest available value, on 12/31/2023, is +17.97%.
The Serie's change in percent from it's maximum value, on 12/31/2022, to it's latest available value, on 12/31/2023, is 0.0%.
| Measure | Realization |
| Indicator Name: | Statistical performance indicators (SPI): Pillar 4 data sources score (scale 0 100) |
| Indicator Source: | Statistical Performance Indicators, The World Bank (https://datacatalog.worldbank.org/dataset/statistical-performance-indicators) | macro-rankings.com |
| Indicator Description: | 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. |
| Observations Date: | 12/31/2015 |