Dimension 4.3: Geospatial Data in Marshall Islands
Marshall Islands: Dimension 4.3: Geospatial Data was 0.291 in 2023. ▲ Rising
Dimension 4.3: Geospatial Data in Marshall Islands, 2015–2023
Source: Statistical Performance Indicators, The World Bank (https://datacatalog.worldbank.org/dataset/statistical-performance-indicators).
Analysis
The most recent figure for dimension 4.3: geospatial data in Marshall Islands is 0.291, measured in 2023.
The figure is up 1.7% over ten years.
Over the whole period, dimension 4.3: geospatial data in Marshall Islands peaked at 0.336 in 2020 and was at its lowest, 0.192, in 2018.
That places Marshall Islands 86th out of 180 countries with data for 2023, putting it in the middle of the range.
Dimension 4.3: Geospatial Data in Marshall Islands, year by year
| Year | Value | Change |
|---|---|---|
| 2015 | 0.286 | — |
| 2016 | 0.276 | -3.5% |
| 2017 | 0.208 | -24.6% |
| 2018 | 0.192 | -7.7% |
| 2019 | 0.192 | +0.0% |
| 2020 | 0.336 | +75.0% |
| 2021 | 0.336 | +0.0% |
| 2022 | 0.291 | -13.4% |
| 2023 | 0.291 | +0.0% |
Marshall Islands compared with similar countries
- Marshall Islands's 0.291 is above the median for upper middle income countries, which is 0.2785, 1.0× the median. (54 countries reporting)
- Marshall Islands's 0.291 is below the median for East Asia & Pacific, which is 0.3355, 87% of the median. (26 countries reporting)
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2010s | 0.2308 | 0.192 | 0.286 | 5 |
| 2020s | 0.3135 | 0.291 | 0.336 | 4 |
Countries ranked near Marshall Islands
More reference data data for Marshall Islands
- Emission Totals - Emissions (N2O) - IPCC Agriculture 0 (2019)
- Emission Totals - Emissions (CO2eq) from N2O (AR5) - IPCC Agriculture 0 (2019)
- Emission Totals - Emissions (CH4) - IPCC Agriculture 0 (2019)
- Emission Totals - Emissions (CO2eq) (AR5) - IPCC Agriculture 0 (2019)
- Emission Totals - Emissions (CO2eq) from CH4 (AR5) - IPCC Agriculture 0 (2019)
- Political opposition, annual growth rate 0 % change on previous year (2025)
- Elected parliament and government, annual growth rate 0 % change on previous year (2025)
- Global number of reported disasters by size, gaps filled 0 events (2024)
- Free country 2 (2025)
- Civil liberties rating 1 (2025)
Frequently asked questions
- What is dimension 4.3: geospatial data in Marshall Islands?
- Dimension 4.3: geospatial data in Marshall Islands was 0.291 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 Marshall Islands?
- The highest recorded value was 0.336 in 2020.
- What is the lowest dimension 4.3: geospatial data recorded in Marshall Islands?
- The lowest recorded value was 0.192 in 2018.
- How does Marshall Islands rank for dimension 4.3: geospatial data?
- Marshall Islands ranks 86th out of 180 countries with data for 2023.
- Is dimension 4.3: geospatial data rising or falling in Marshall Islands?
- Over the last ten years it is up 1.7%. The long-run trend across the full record is rising.
- Where does this Marshall Islands 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.