Samoa vs Tunisia: Dimension 4.3: Geospatial Data

Samoa
0.153
in 2023
Tunisia
0.157
in 2023
Samoa rank
140th
Tunisia rank
137th

Dimension 4.3: Geospatial Data over time

  • Samoa
  • Tunisia
00.10.20.3201520192023

How they compare

Tunisia currently reports 0.157 against 0.153 in Samoa, a difference of 0.004.

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

Samoa ranks 140th and Tunisia ranks 137th of 177 countries.

Across the 2 decades both report, Samoa averaged higher in 1 and Tunisia in 1.

Head to head by decade

Decade Samoa Tunisia Difference Ahead
2010s 0.1666 0.1048 0.0618 Samoa
2020s 0.0765 0.1675 0.091 Tunisia

Averages of every year both report within each decade.

Frequently asked questions

Which has higher dimension 4.3: geospatial data, Samoa or Tunisia?
Tunisia, at 0.157 against 0.153 in Samoa as of 2023.
What is the difference in dimension 4.3: geospatial data between Samoa and Tunisia?
0.004, with Tunisia ahead.
How many years of comparable data are there for Samoa and Tunisia?
9 years are reported by both, from 2015 to 2023.
How do Samoa and Tunisia rank globally for dimension 4.3: geospatial data?
Samoa ranks 140th and Tunisia ranks 137th 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.