Dimension 4.3: Geospatial Data in Nepal

Nepal: Dimension 4.3: Geospatial Data was 0.166 in 2023. ▼ Falling

Latest (2023)
0.166
Change on year
unchanged
World rank
138th
of 180 countries
All-time high
0.357
in 2015
All-time low
0.087
in 2016
Years of data
9
2015–2023

Dimension 4.3: Geospatial Data in Nepal, 2015–2023

0.10.20.30.42015201920232015: 0.3572016: 0.0872017: 0.1362018: 0.1372019: 0.1372020: 0.2082021: 0.2082022: 0.1662023: 0.166

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 Nepal is 0.166, measured in 2023.

That represents a change of down 53.5% over ten years.

Over the whole period, dimension 4.3: geospatial data in Nepal peaked at 0.357 in 2015 and was at its lowest, 0.087, in 2016.

Nepal ranks 138th of 180 countries on this measure, in the bottom quarter.

Dimension 4.3: Geospatial Data in Nepal, year by year

Annual values for Dimension 4.3: Geospatial Data in Nepal, 2015 to 2023.
Year Value Change
2015 0.357
2016 0.087 -75.6%
2017 0.136 +56.3%
2018 0.137 +0.7%
2019 0.137 +0.0%
2020 0.208 +51.8%
2021 0.208 +0.0%
2022 0.166 -20.2%
2023 0.166 +0.0%

Nepal compared with similar countries

  • Nepal's 0.166 is below the median for lower middle income countries, which is 0.268, 62% of the median. (46 countries reporting)
  • Nepal's 0.166 is below the median for South Asia, which is 0.2995, 55% of the median. (6 countries reporting)

Averages by decade

DecadeAverage LowestHighest Years
2010s 0.1708 0.087 0.357 5
2020s 0.187 0.166 0.208 4

Countries ranked near Nepal

  1. 135 Botswana 0.178 compare
  2. 135 Congo 0.178 compare
  3. 137 Cambodia 0.169 compare
  4. 138 Syria 0.166 compare
  5. 140 Argentina 0.157 compare
  6. 140 Senegal 0.157 compare
  7. 140 Tunisia 0.157 compare

See the full ranking of 180 places →

More reference data data for Nepal

All data for Nepal →

Frequently asked questions

What is dimension 4.3: geospatial data in Nepal?
Dimension 4.3: geospatial data in Nepal was 0.166 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 Nepal?
The highest recorded value was 0.357 in 2015.
What is the lowest dimension 4.3: geospatial data recorded in Nepal?
The lowest recorded value was 0.087 in 2016.
How does Nepal rank for dimension 4.3: geospatial data?
Nepal ranks 138th out of 180 countries with data for 2023.
Is dimension 4.3: geospatial data rising or falling in Nepal?
Over the last ten years it is down 53.5%. The long-run trend across the full record is falling.
Where does this Nepal 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.

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CSV · JSON — 9 observations, free to reuse under CC BY 4.0 (World Bank Open Data).

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Dimension 4.3: Geospatial Data in Nepal. Statizoid, drawing on Statistical Performance Indicators, The World Bank (https://datacatalog.worldbank.org/dataset/statistical-performance-indicators). Retrieved 24 September 2026, from https://reference.statizoid.com/stat/dimension-4-3-geospatial-data/nepal/

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About this data

Indicator
Dimension 4.3: Geospatial Data
Source
Statistical Performance Indicators, The World Bank (https://datacatalog.worldbank.org/dataset/statistical-performance-indicators)
Licence
CC BY 4.0 (World Bank Open Data)
Coverage
180 places, 1,560 data points, 2015–2023
Last refreshed

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.