Dimension 4.3: Geospatial Data in Palestine
Palestine: Dimension 4.3: Geospatial Data was 0.509 in 2023. ▲ Rising
Dimension 4.3: Geospatial Data in Palestine, 2015–2023
Source: Statistical Performance Indicators, The World Bank (https://datacatalog.worldbank.org/dataset/statistical-performance-indicators).
Analysis
In 2023, dimension 4.3: geospatial data in Palestine stood at 0.509.
The figure is up 124.2% over ten years.
Over the whole period, dimension 4.3: geospatial data in Palestine peaked at 0.542 in 2020 and was at its lowest, 0.169, in 2016.
That places Palestine 14th out of 180 countries with data for 2023, putting it in the top 10%.
Dimension 4.3: Geospatial Data in Palestine, year by year
| Year | Value | Change |
|---|---|---|
| 2015 | 0.227 | — |
| 2016 | 0.169 | -25.6% |
| 2017 | 0.384 | +127.2% |
| 2018 | 0.362 | -5.7% |
| 2019 | 0.362 | +0.0% |
| 2020 | 0.542 | +49.7% |
| 2021 | 0.542 | +0.0% |
| 2022 | 0.509 | -6.1% |
| 2023 | 0.509 | +0.0% |
Palestine compared with similar countries
- Palestine's 0.509 is above the median for lower middle income countries, which is 0.268, 1.9× the median. (46 countries reporting)
- Palestine's 0.509 is above the median for Middle East, North Africa, Afghanistan & Pakistan, which is 0.262, 1.9× the median. (23 countries reporting)
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2010s | 0.3008 | 0.169 | 0.384 | 5 |
| 2020s | 0.5255 | 0.509 | 0.542 | 4 |
Countries ranked near Palestine
- 12 Bahrain 0.512 compare
- 12 Spain 0.512 compare
- 14 Czechia 0.509 compare
- 16 Kazakhstan 0.5 compare
- 17 Philippines 0.491 compare
More reference data data for Palestine
- Emission Totals - Indirect emissions (N2O) - Manure applied to Soils 0.0105 (2050)
- Emission Totals - Indirect emissions (N2O) - Manure left on Pasture 0.1625 (2050)
- Emission Totals - Indirect emissions (N2O) - IPCC Agriculture 0.177 (2050)
- Emission Totals - Indirect emissions (N2O) - Crop Residues 0.004 (2050)
- Emission Totals - Indirect emissions (N2O) - Agricultural Soils 0.177 (2050)
- Emission Totals - Emissions (N2O) - Manure applied to Soils 0.0352 (2050)
- Emission Totals - Emissions (N2O) - Manure Management 0.0127 (2050)
- Emission Totals - Emissions (N2O) - Manure left on Pasture 0.6383 (2050)
- Emission Totals - Emissions (N2O) - IPCC Agriculture 0.7088 (2050)
- Emission Totals - Emissions (N2O) - Crop Residues 0.022 (2050)
Frequently asked questions
- What is dimension 4.3: geospatial data in Palestine?
- Dimension 4.3: geospatial data in Palestine was 0.509 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 Palestine?
- The highest recorded value was 0.542 in 2020.
- What is the lowest dimension 4.3: geospatial data recorded in Palestine?
- The lowest recorded value was 0.169 in 2016.
- How does Palestine rank for dimension 4.3: geospatial data?
- Palestine ranks 14th out of 180 countries with data for 2023.
- Is dimension 4.3: geospatial data rising or falling in Palestine?
- Over the last ten years it is up 124.2%. The long-run trend across the full record is rising.
- Where does this Palestine 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.