Saint Vincent and the Grenadines vs Tuvalu: Access to electricity, urban, Percent of urban population
Saint Vincent and the Grenadines
100
in 2022
Tuvalu
100
in 2022
Saint Vincent and the Grenadines rank
1st
Tuvalu rank
1st
Access to electricity, urban, Percent of urban population over time
- Saint Vincent and the Grenadines
- Tuvalu
How they compare
Saint Vincent and the Grenadines currently reports 100 against 100 in Tuvalu, a difference of 0.
The two have swapped places 2 times across 23 shared years of data; in 2000 it was Tuvalu ahead.
Saint Vincent and the Grenadines ranks 1st and Tuvalu ranks 1st of 212 countries.
Tuvalu has averaged higher in every one of the 3 decades both report.
Head to head by decade
| Decade | Saint Vincent and the Grenadines | Tuvalu | Difference | Ahead |
|---|---|---|---|---|
| 2000s | 89.25 | 96.84 | 7.59 | Tuvalu |
| 2010s | 96.13 | 99.18 | 3.05 | Tuvalu |
| 2020s | 99.93 | 100 | 0.0667 | Tuvalu |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher access to electricity, urban, percent of urban population, Saint Vincent and the Grenadines or Tuvalu?
- Saint Vincent and the Grenadines, at 100 against 100 in Tuvalu as of 2022.
- What is the difference in access to electricity, urban, percent of urban population between Saint Vincent and the Grenadines and Tuvalu?
- 0, with Saint Vincent and the Grenadines ahead.
- How many years of comparable data are there for Saint Vincent and the Grenadines and Tuvalu?
- 23 years are reported by both, from 2000 to 2022.
- How do Saint Vincent and the Grenadines and Tuvalu rank globally for access to electricity, urban, percent of urban population?
- Saint Vincent and the Grenadines ranks 1st and Tuvalu ranks 1st of 212 countries.
- Where does this data come from?
- International Monetary Fund, published as Access to electricity, urban, Percent of urban population (Not Applicable). Statizoid refreshes it automatically from the source and publishes the full history for both places.
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About this data
This dataset provides information on global climate and weather patterns, providing insights into temperature variations, land cover accounts, and shifts in mean sea levels.