Thailand vs Uganda: Dimension 4.3: Geospatial Data

Thailand
0.127
in 2023
Uganda
0.105
in 2023
Thailand rank
148th
Uganda rank
149th

Dimension 4.3: Geospatial Data over time

  • Thailand
  • Uganda
00.050.10.150.20.25201520192023

How they compare

Thailand currently reports 0.127 against 0.105 in Uganda, a difference of 0.022.

That makes Thailand's figure about 1.2 times Uganda's.

The two have swapped places 3 times across 9 shared years of data; in 2015 it was Uganda ahead.

Thailand ranks 148th and Uganda ranks 149th of 177 countries.

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

Head to head by decade

Decade Thailand Uganda Difference Ahead
2010s 0.1086 0.0758 0.0328 Thailand
2020s 0.127 0.0885 0.0385 Thailand

Averages of every year both report within each decade.

Frequently asked questions

Which has higher dimension 4.3: geospatial data, Thailand or Uganda?
Thailand, at 0.127 against 0.105 in Uganda as of 2023.
What is the difference in dimension 4.3: geospatial data between Thailand and Uganda?
0.022, with Thailand ahead.
How many years of comparable data are there for Thailand and Uganda?
9 years are reported by both, from 2015 to 2023.
How do Thailand and Uganda rank globally for dimension 4.3: geospatial data?
Thailand ranks 148th and Uganda ranks 149th 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.