Lithuania vs Myanmar: Dimension 4.3: Geospatial Data
Dimension 4.3: Geospatial Data over time
- Lithuania
- Myanmar
How they compare
Lithuania currently reports 0.343 against 0.337 in Myanmar, a difference of 0.006.
The two have swapped places 2 times across 8 shared years of data; in 2016 it was Lithuania ahead.
Lithuania ranks 56th and Myanmar ranks 58th of 177 countries.
Across the 2 decades both report, Lithuania averaged higher in 1 and Myanmar in 1.
Head to head by decade
| Decade | Lithuania | Myanmar | Difference | Ahead |
|---|---|---|---|---|
| 2010s | 0.4265 | 0.2935 | 0.133 | Lithuania |
| 2020s | 0.322 | 0.3415 | 0.0195 | Myanmar |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher dimension 4.3: geospatial data, Lithuania or Myanmar?
- Lithuania, at 0.343 against 0.337 in Myanmar as of 2023.
- What is the difference in dimension 4.3: geospatial data between Lithuania and Myanmar?
- 0.006, with Lithuania ahead.
- How many years of comparable data are there for Lithuania and Myanmar?
- 8 years are reported by both, from 2016 to 2023.
- How do Lithuania and Myanmar rank globally for dimension 4.3: geospatial data?
- Lithuania ranks 56th and Myanmar ranks 58th 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
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.