Brazil vs Malaysia: Dimension 4.3: Geospatial Data

Brazil
0.473
in 2023
Malaysia
0.461
in 2023
Brazil rank
20th
Malaysia rank
23rd

Dimension 4.3: Geospatial Data over time

  • Brazil
  • Malaysia
0.10.20.30.40.5201520192023

How they compare

Brazil currently reports 0.473 against 0.461 in Malaysia, a difference of 0.012.

Across all 9 years both countries report, Brazil has been ahead every year.

Brazil ranks 20th and Malaysia ranks 23rd of 177 countries.

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

Head to head by decade

Decade Brazil Malaysia Difference Ahead
2010s 0.3162 0.1752 0.141 Brazil
2020s 0.431 0.4035 0.0275 Brazil

Averages of every year both report within each decade.

Frequently asked questions

Which has higher dimension 4.3: geospatial data, Brazil or Malaysia?
Brazil, at 0.473 against 0.461 in Malaysia as of 2023.
What is the difference in dimension 4.3: geospatial data between Brazil and Malaysia?
0.012, with Brazil ahead.
How many years of comparable data are there for Brazil and Malaysia?
9 years are reported by both, from 2015 to 2023.
How do Brazil and Malaysia rank globally for dimension 4.3: geospatial data?
Brazil ranks 20th and Malaysia ranks 23rd 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.