Dimension 4.3: Geospatial Data in Sao Tome and Principe
Sao Tome and Principe: Dimension 4.3: Geospatial Data was 0.468 in 2023. ▲ Rising
Dimension 4.3: Geospatial Data in Sao Tome and Principe, 2015–2023
Source: Statistical Performance Indicators, The World Bank (https://datacatalog.worldbank.org/dataset/statistical-performance-indicators).
Analysis
Sao Tome and Principe recorded 0.468 for dimension 4.3: geospatial data in 2023. That is the highest value across all 9 years on record.
The figure is up 148.9% over ten years.
Over the whole period, dimension 4.3: geospatial data in Sao Tome and Principe peaked at 0.468 in 2022 and was at its lowest, 0.152, in 2018.
Sao Tome and Principe ranks 21st of 180 countries on this measure, in the top quarter.
Dimension 4.3: Geospatial Data in Sao Tome and Principe, year by year
| Year | Value | Change |
|---|---|---|
| 2015 | 0.188 | — |
| 2016 | 0.216 | +14.9% |
| 2017 | 0.168 | -22.2% |
| 2018 | 0.152 | -9.5% |
| 2019 | 0.152 | +0.0% |
| 2020 | 0.419 | +175.7% |
| 2021 | 0.419 | +0.0% |
| 2022 | 0.468 | +11.7% |
| 2023 | 0.468 | +0.0% |
Sao Tome and Principe compared with similar countries
- Sao Tome and Principe's 0.468 is above the median for lower middle income countries, which is 0.268, 1.7× the median. (46 countries reporting)
- Sao Tome and Principe's 0.468 is above the median for Sub-Saharan Africa, which is 0.253, 1.8× the median. (44 countries reporting)
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2010s | 0.1752 | 0.152 | 0.216 | 5 |
| 2020s | 0.4435 | 0.419 | 0.468 | 4 |
Countries ranked near Sao Tome and Principe
More reference data data for Sao Tome and Principe
- Emission Totals - Indirect emissions (N2O) - Manure applied to Soils 0.0038 (2050)
- Emission Totals - Indirect emissions (N2O) - Manure left on Pasture 0.006 (2050)
- Emission Totals - Indirect emissions (N2O) - IPCC Agriculture 0.01 (2050)
- Emission Totals - Indirect emissions (N2O) - Crop Residues 0.0003 (2050)
- Emission Totals - Indirect emissions (N2O) - Agricultural Soils 0.01 (2050)
- Emission Totals - Emissions (N2O) - Manure applied to Soils 0.0126 (2050)
- Emission Totals - Emissions (N2O) - Manure Management 0.014 (2050)
- Emission Totals - Emissions (N2O) - Manure left on Pasture 0.0319 (2050)
- Emission Totals - Emissions (N2O) - IPCC Agriculture 0.0601 (2050)
- Emission Totals - Emissions (N2O) - Crop Residues 0.0015 (2050)
Frequently asked questions
- What is dimension 4.3: geospatial data in Sao Tome and Principe?
- Dimension 4.3: geospatial data in Sao Tome and Principe was 0.468 in 2023, according to Statistical Performance Indicators, The World Bank (https://datacatalog.worldbank.org/dataset/statistical-performance-indicators).
- What is the highest dimension 4.3: geospatial data recorded in Sao Tome and Principe?
- The highest recorded value was 0.468 in 2022.
- What is the lowest dimension 4.3: geospatial data recorded in Sao Tome and Principe?
- The lowest recorded value was 0.152 in 2018.
- How does Sao Tome and Principe rank for dimension 4.3: geospatial data?
- Sao Tome and Principe ranks 21st out of 180 countries with data for 2023.
- Is dimension 4.3: geospatial data rising or falling in Sao Tome and Principe?
- Over the last ten years it is up 148.9%. The long-run trend across the full record is rising.
- Where does this Sao Tome and Principe data come from?
- The figures come from Statistical Performance Indicators, The World Bank (https://datacatalog.worldbank.org/dataset/statistical-performance-indicators), published as part of Dimension 4.3: Geospatial Data. Statizoid updates them automatically from the source API.
Download this data
CSV · JSON — 9 observations, free to reuse under CC BY 4.0 (World Bank Open Data).
About this data
Geospatial data available at 1st Admin Level. We recognize that this data source provides only limited coverage but consider that it does at least provide some indication of the ability of the national statistical system to produce geospatial data. A major research and data collection effort is needed via GGIM to fill in this information, so that a more comprehensive picture of geospatial data capability at the national level can be produced. Until this is done, it we cannot even assess the scale of the data gaps in a comparable way.