Latvia vs Libya: Dimension 4.3: Geospatial Data

Latvia
0.084
in 2023
Libya
0.072
in 2023
Latvia rank
157th
Libya rank
160th

Dimension 4.3: Geospatial Data over time

  • Latvia
  • Libya
00.10.20.30.4201620192023

How they compare

Latvia currently reports 0.084 against 0.072 in Libya, a difference of 0.012.

That makes Latvia's figure about 1.2 times Libya's.

The two have swapped places 2 times across 8 shared years of data; in 2016 it was Latvia ahead.

Latvia ranks 157th and Libya ranks 160th of 177 countries.

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

Head to head by decade

Decade Latvia Libya Difference Ahead
2010s 0.1552 0.1183 0.037 Latvia
2020s 0.0945 0.093 0.0015 Latvia

Averages of every year both report within each decade.

Frequently asked questions

Which has higher dimension 4.3: geospatial data, Latvia or Libya?
Latvia, at 0.084 against 0.072 in Libya as of 2023.
What is the difference in dimension 4.3: geospatial data between Latvia and Libya?
0.012, with Latvia ahead.
How many years of comparable data are there for Latvia and Libya?
8 years are reported by both, from 2016 to 2023.
How do Latvia and Libya rank globally for dimension 4.3: geospatial data?
Latvia ranks 157th and Libya ranks 160th 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.