South Korea vs Macao: Dimension 4.3: Geospatial Data

South Korea
0.398
in 2023
Macao
0.408
in 2023
South Korea rank
38th
Macao rank
35th

Dimension 4.3: Geospatial Data over time

  • South Korea
  • Macao
00.10.20.30.40.5201620192023

How they compare

Macao currently reports 0.408 against 0.398 in South Korea, a difference of 0.01.

Across all 7 years both countries report, Macao has been ahead every year.

South Korea ranks 38th and Macao ranks 35th of 177 countries.

Macao has averaged higher in every one of the 2 decades both report.

Head to head by decade

Decade South Korea Macao Difference Ahead
2010s 0.296 0.35 0.054 Macao
2020s 0.3765 0.435 0.0585 Macao

Averages of every year both report within each decade.

Frequently asked questions

Which has higher dimension 4.3: geospatial data, South Korea or Macao?
Macao, at 0.408 against 0.398 in South Korea as of 2023.
What is the difference in dimension 4.3: geospatial data between South Korea and Macao?
0.01, with Macao ahead.
How many years of comparable data are there for South Korea and Macao?
7 years are reported by both, from 2017 to 2023.
How do South Korea and Macao rank globally for dimension 4.3: geospatial data?
South Korea ranks 38th and Macao ranks 35th of 177 countries.
Where does this data come from?
Statistical Performance Indicators, The World Bank (https://datacatalog.worldbank.org/dataset/statistical-performance-indicators), published as Dimension 4.3: Geospatial Data. Statizoid refreshes it automatically from the source and publishes the full history for both places.

Individual pages

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
179 places, 1,551 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.