Bangladesh vs Thailand: Dimension 4.3: Geospatial Data

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

Dimension 4.3: Geospatial Data over time

  • Bangladesh
  • Thailand
00.10.20.30.4201520192023

How they compare

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

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

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

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

Across the 2 decades both report, Bangladesh averaged higher in 1 and Thailand in 1.

Head to head by decade

Decade Bangladesh Thailand Difference Ahead
2010s 0.1924 0.1086 0.0838 Bangladesh
2020s 0.1265 0.127 0.0005 Thailand

Averages of every year both report within each decade.

Frequently asked questions

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