Dimension 4.3: Geospatial Data in Hong Kong

Hong Kong: Dimension 4.3: Geospatial Data was 0.756 in 2023. ▲ Rising

Latest (2023)
0.756
Change on year
unchanged
World rank
2nd
of 180 countries
All-time high
0.756
in 2022
All-time low
0.473
in 2016
Years of data
8
2016–2023

Dimension 4.3: Geospatial Data in Hong Kong, 2016–2023

00.20.40.60.82016201920232016: 0.4732017: 0.5432018: 0.5972019: 0.5972020: 0.6932021: 0.6932022: 0.7562023: 0.756

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

Analysis

In 2023, dimension 4.3: geospatial data in Hong Kong stood at 0.756. That is the highest value across all 8 years on record.

The figure is up 59.8% over ten years.

That places Hong Kong 2nd out of 180 countries with data for 2023, putting it in the top 10%.

Dimension 4.3: Geospatial Data in Hong Kong, year by year

Annual values for Dimension 4.3: Geospatial Data in Hong Kong, 2016 to 2023.
Year Value Change
2016 0.473
2017 0.543 +14.8%
2018 0.597 +9.9%
2019 0.597 +0.0%
2020 0.693 +16.1%
2021 0.693 +0.0%
2022 0.756 +9.1%
2023 0.756 +0.0%

Hong Kong compared with similar countries

  • Hong Kong's 0.756 is above the median for high income countries, which is 0.334, 2.3× the median. (57 countries reporting)
  • Hong Kong's 0.756 is above the median for East Asia & Pacific, which is 0.3355, 2.3× the median. (26 countries reporting)

Averages by decade

DecadeAverage LowestHighest Years
2010s 0.5525 0.473 0.597 4
2020s 0.7245 0.693 0.756 4

Countries ranked near Hong Kong

  1. 1 Singapore 0.767 compare
  2. 3 Poland 0.657 compare
  3. 4 Sri Lanka 0.619 compare
  4. 5 Sierra Leone 0.604 compare

See the full ranking of 180 places →

More reference data data for Hong Kong

All data for Hong Kong →

Frequently asked questions

What is dimension 4.3: geospatial data in Hong Kong?
Dimension 4.3: geospatial data in Hong Kong was 0.756 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 Hong Kong?
The highest recorded value was 0.756 in 2022.
What is the lowest dimension 4.3: geospatial data recorded in Hong Kong?
The lowest recorded value was 0.473 in 2016.
How does Hong Kong rank for dimension 4.3: geospatial data?
Hong Kong ranks 2nd out of 180 countries with data for 2023.
Is dimension 4.3: geospatial data rising or falling in Hong Kong?
Over the last ten years it is up 59.8%. The long-run trend across the full record is rising.
Where does this Hong Kong 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 — 8 observations, free to reuse under CC BY 4.0 (World Bank Open Data).

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Dimension 4.3: Geospatial Data in Hong Kong. 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/hong-kong-sar-china/

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Paste this into a page to link back to these figures. The data itself is free to reuse under CC BY 4.0 (World Bank Open Data); please keep the attribution.

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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.