New Zealand vs Uruguay: Dimension 4.3: Geospatial Data
Dimension 4.3: Geospatial Data over time
- New Zealand
- Uruguay
How they compare
New Zealand currently reports 0.136 against 0.136 in Uruguay, a difference of 0.
The two have swapped places 3 times across 8 shared years of data; in 2016 it was New Zealand ahead.
New Zealand ranks 143rd and Uruguay ranks 143rd of 177 countries.
Across the 2 decades both report, New Zealand averaged higher in 1 and Uruguay in 1.
Head to head by decade
| Decade | New Zealand | Uruguay | Difference | Ahead |
|---|---|---|---|---|
| 2010s | 0.1163 | 0.1263 | 0.01 | Uruguay |
| 2020s | 0.1675 | 0.1465 | 0.021 | New Zealand |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher dimension 4.3: geospatial data, New Zealand or Uruguay?
- New Zealand, at 0.136 against 0.136 in Uruguay as of 2023.
- What is the difference in dimension 4.3: geospatial data between New Zealand and Uruguay?
- 0, with New Zealand ahead.
- How many years of comparable data are there for New Zealand and Uruguay?
- 8 years are reported by both, from 2016 to 2023.
- How do New Zealand and Uruguay rank globally for dimension 4.3: geospatial data?
- New Zealand ranks 143rd and Uruguay ranks 143rd 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.