Djibouti vs Hong Kong: Dimension 4.3: Geospatial Data
Dimension 4.3: Geospatial Data over time
- Djibouti
- Hong Kong
How they compare
Hong Kong currently reports 0.756 against 0.19 in Djibouti, a difference of 0.566.
That makes Hong Kong's figure about 4.0 times Djibouti's.
Across all 8 years both countries report, Hong Kong has been ahead every year.
Djibouti ranks 1st and Hong Kong ranks 2nd of 1 regions.
Hong Kong has averaged higher in every one of the 2 decades both report.
Head to head by decade
| Decade | Djibouti | Hong Kong | Difference | Ahead |
|---|---|---|---|---|
| 2010s | 0.0512 | 0.5525 | 0.5012 | Hong Kong |
| 2020s | 0.1795 | 0.7245 | 0.545 | Hong Kong |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher dimension 4.3: geospatial data, Djibouti or Hong Kong?
- Hong Kong, at 0.756 against 0.19 in Djibouti as of 2023.
- What is the difference in dimension 4.3: geospatial data between Djibouti and Hong Kong?
- 0.566, with Hong Kong ahead.
- How many years of comparable data are there for Djibouti and Hong Kong?
- 8 years are reported by both, from 2016 to 2023.
- How do Djibouti and Hong Kong rank globally for dimension 4.3: geospatial data?
- Djibouti ranks 1st and Hong Kong ranks 2nd of 1 regions.
- 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.