Poland vs Singapore: Dimension 4.3: Geospatial Data

Poland
0.657
in 2023
Singapore
0.767
in 2023
Poland rank
3rd
Singapore rank
1st

Dimension 4.3: Geospatial Data over time

  • Poland
  • Singapore
00.20.40.60.8201620192023

How they compare

Singapore currently reports 0.767 against 0.657 in Poland, a difference of 0.11.

That makes Singapore's figure about 1.2 times Poland's.

The two have swapped places 1 time across 8 shared years of data; in 2016 it was Poland ahead.

Poland ranks 3rd and Singapore ranks 1st of 177 countries.

Across the 2 decades both report, Poland averaged higher in 1 and Singapore in 1.

Head to head by decade

Decade Poland Singapore Difference Ahead
2010s 0.603 0.5787 0.0242 Poland
2020s 0.625 0.781 0.156 Singapore

Averages of every year both report within each decade.

Frequently asked questions

Which has higher dimension 4.3: geospatial data, Poland or Singapore?
Singapore, at 0.767 against 0.657 in Poland as of 2023.
What is the difference in dimension 4.3: geospatial data between Poland and Singapore?
0.11, with Singapore ahead.
How many years of comparable data are there for Poland and Singapore?
8 years are reported by both, from 2016 to 2023.
How do Poland and Singapore rank globally for dimension 4.3: geospatial data?
Poland ranks 3rd and Singapore ranks 1st 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.