Dimension 4.3: Geospatial Data in Montenegro
Montenegro: Dimension 4.3: Geospatial Data was 0.021 in 2023. ◆ Volatile
Dimension 4.3: Geospatial Data in Montenegro, 2015–2023
Source: Statistical Performance Indicators, The World Bank (https://datacatalog.worldbank.org/dataset/statistical-performance-indicators).
Analysis
Montenegro recorded 0.021 for dimension 4.3: geospatial data in 2023. That is the lowest value across all 9 years on record.
The figure is down 76.9% over ten years.
Over the whole period, dimension 4.3: geospatial data in Montenegro peaked at 0.136 in 2016 and was at its lowest, 0.021, in 2020.
Montenegro ranks 174th of 180 countries on this measure, in the bottom quarter.
Dimension 4.3: Geospatial Data in Montenegro, year by year
| Year | Value | Change |
|---|---|---|
| 2015 | 0.091 | — |
| 2016 | 0.136 | +49.5% |
| 2017 | 0.06 | -55.9% |
| 2018 | 0.082 | +36.7% |
| 2019 | 0.082 | +0.0% |
| 2020 | 0.021 | -74.4% |
| 2021 | 0.021 | +0.0% |
| 2022 | 0.021 | +0.0% |
| 2023 | 0.021 | +0.0% |
Montenegro compared with similar countries
- Montenegro's 0.021 is below the median for upper middle income countries, which is 0.2785, 8% of the median. (54 countries reporting)
- Montenegro's 0.021 is below the median for Europe & Central Asia, which is 0.298, 7% of the median. (50 countries reporting)
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2010s | 0.0902 | 0.06 | 0.136 | 5 |
| 2020s | 0.021 | 0.021 | 0.021 | 4 |
Countries ranked near Montenegro
- 174 Guyana 0.021 compare
- 174 Venezuela 0.021 compare
- 177 Haiti 0
- 177 Luxembourg 0 compare
- 177 South Sudan 0 compare
- 177 Turkmenistan 0 compare
More reference data data for Montenegro
- Emission Totals - Indirect emissions (N2O) - Manure applied to Soils 0.0413 (2050)
- Emission Totals - Indirect emissions (N2O) - Manure left on Pasture 0.0412 (2050)
- Emission Totals - Indirect emissions (N2O) - IPCC Agriculture 0.095 (2050)
- Emission Totals - Indirect emissions (N2O) - Crop Residues 0.0009 (2050)
- Emission Totals - Indirect emissions (N2O) - Agricultural Soils 0.095 (2050)
- Emission Totals - Emissions (N2O) - Manure applied to Soils 0.1384 (2050)
- Emission Totals - Emissions (N2O) - Manure Management 0.1046 (2050)
- Emission Totals - Emissions (N2O) - Manure left on Pasture 0.1738 (2050)
- Emission Totals - Emissions (N2O) - IPCC Agriculture 0.4689 (2050)
- Emission Totals - Emissions (N2O) - Crop Residues 0.0049 (2050)
Frequently asked questions
- What is dimension 4.3: geospatial data in Montenegro?
- Dimension 4.3: geospatial data in Montenegro was 0.021 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 Montenegro?
- The highest recorded value was 0.136 in 2016.
- What is the lowest dimension 4.3: geospatial data recorded in Montenegro?
- The lowest recorded value was 0.021 in 2020.
- How does Montenegro rank for dimension 4.3: geospatial data?
- Montenegro ranks 174th out of 180 countries with data for 2023.
- Is dimension 4.3: geospatial data rising or falling in Montenegro?
- Over the last ten years it is down 76.9%. The long-run trend across the full record is volatile.
- Where does this Montenegro 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.