Dimension 4.3: Geospatial Data in Vanuatu

Vanuatu: Dimension 4.3: Geospatial Data was 0.292 in 2023. ▲ Rising

Latest (2023)
0.292
Change on year
unchanged
World rank
81st
of 180 countries
All-time high
0.292
in 2022
All-time low
0.11
in 2018
Years of data
9
2015–2023

Dimension 4.3: Geospatial Data in Vanuatu, 2015–2023

00.10.20.32015201920232015: 0.2792016: 0.2032017: 0.1922018: 0.112019: 0.112020: 0.112021: 0.112022: 0.2922023: 0.292

Source: Statistical Performance Indicators, The World Bank (https://datacatalog.worldbank.org/dataset/statistical-performance-indicators).

Analysis

In 2023, dimension 4.3: geospatial data in Vanuatu stood at 0.292. That is the highest value across all 9 years on record.

Compared with earlier readings it is up 4.7% over ten years.

Over the whole period, dimension 4.3: geospatial data in Vanuatu peaked at 0.292 in 2022 and was at its lowest, 0.11, in 2018.

That places Vanuatu 81st out of 180 countries with data for 2023, putting it in the middle of the range.

Dimension 4.3: Geospatial Data in Vanuatu, year by year

Annual values for Dimension 4.3: Geospatial Data in Vanuatu, 2015 to 2023.
Year Value Change
2015 0.279 —
2016 0.203 -27.2%
2017 0.192 -5.4%
2018 0.11 -42.7%
2019 0.11 +0.0%
2020 0.11 +0.0%
2021 0.11 +0.0%
2022 0.292 +165.5%
2023 0.292 +0.0%

Vanuatu compared with similar countries

  • Vanuatu's 0.292 is above the median for lower middle income countries, which is 0.268, 1.1× the median. (46 countries reporting)
  • Vanuatu's 0.292 is below the median for East Asia & Pacific, which is 0.3355, 87% of the median. (26 countries reporting)

Averages by decade

DecadeAverage LowestHighest Years
2010s 0.1788 0.11 0.279 5
2020s 0.201 0.11 0.292 4

Countries ranked near Vanuatu

  1. 79 Guinea 0.295 compare
  2. 79 Honduras 0.295 compare
  3. 81 France 0.292 compare
  4. 81 Hungary 0.292 compare
  5. 81 Serbia 0.292 compare
  6. 81 Zambia 0.292 compare

See the full ranking of 180 places →

More reference data data for Vanuatu

All data for Vanuatu →

Frequently asked questions

What is dimension 4.3: geospatial data in Vanuatu?
Dimension 4.3: geospatial data in Vanuatu was 0.292 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 Vanuatu?
The highest recorded value was 0.292 in 2022.
What is the lowest dimension 4.3: geospatial data recorded in Vanuatu?
The lowest recorded value was 0.11 in 2018.
How does Vanuatu rank for dimension 4.3: geospatial data?
Vanuatu ranks 81st out of 180 countries with data for 2023.
Is dimension 4.3: geospatial data rising or falling in Vanuatu?
Over the last ten years it is up 4.7%. The long-run trend across the full record is rising.
Where does this Vanuatu 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 Vanuatu. 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/vanuatu/

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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.