Cote d'Ivoire vs Trinidad and Tobago: Dimension 4.3: Geospatial Data
Dimension 4.3: Geospatial Data over time
- Cote d'Ivoire
- Trinidad and Tobago
How they compare
Cote d'Ivoire currently reports 0.042 against 0.042 in Trinidad and Tobago, a difference of 0.
The two have swapped places 1 time across 8 shared years of data; in 2016 it was Cote d'Ivoire ahead.
Cote d'Ivoire ranks 166th and Trinidad and Tobago ranks 166th of 177 countries.
Cote d'Ivoire has averaged higher in every one of the 2 decades both report.
Head to head by decade
| Decade | Cote d'Ivoire | Trinidad and Tobago | Difference | Ahead |
|---|---|---|---|---|
| 2010s | 0.0945 | 0.0215 | 0.073 | Cote d'Ivoire |
| 2020s | 0.0905 | 0.0845 | 0.006 | Cote d'Ivoire |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher dimension 4.3: geospatial data, Cote d'Ivoire or Trinidad and Tobago?
- Cote d'Ivoire, at 0.042 against 0.042 in Trinidad and Tobago as of 2023.
- What is the difference in dimension 4.3: geospatial data between Cote d'Ivoire and Trinidad and Tobago?
- 0, with Cote d'Ivoire ahead.
- How many years of comparable data are there for Cote d'Ivoire and Trinidad and Tobago?
- 8 years are reported by both, from 2016 to 2023.
- How do Cote d'Ivoire and Trinidad and Tobago rank globally for dimension 4.3: geospatial data?
- Cote d'Ivoire ranks 166th and Trinidad and Tobago ranks 166th 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.