Sint Maarten (Dutch part) vs Tonga: Access to electricity, rural, Percent of rural population
Sint Maarten (Dutch part)
100
in 2022
Tonga
100
in 2022
Sint Maarten (Dutch part) rank
1st
Tonga rank
1st
Access to electricity, rural, Percent of rural population over time
- Sint Maarten (Dutch part)
- Tonga
How they compare
Sint Maarten (Dutch part) currently reports 100 against 100 in Tonga, a difference of 0.
The two have swapped places 3 times across 13 shared years of data; in 2010 it was Sint Maarten (Dutch part) ahead.
Sint Maarten (Dutch part) ranks 1st and Tonga ranks 1st of 211 countries.
Sint Maarten (Dutch part) has averaged higher in every one of the 2 decades both report.
Head to head by decade
| Decade | Sint Maarten (Dutch part) | Tonga | Difference | Ahead |
|---|---|---|---|---|
| 2010s | 100 | 95.32 | 4.68 | Sint Maarten (Dutch part) |
| 2020s | 100 | 99.93 | 0.0667 | Sint Maarten (Dutch part) |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher access to electricity, rural, percent of rural population, Sint Maarten (Dutch part) or Tonga?
- Sint Maarten (Dutch part), at 100 against 100 in Tonga as of 2022.
- What is the difference in access to electricity, rural, percent of rural population between Sint Maarten (Dutch part) and Tonga?
- 0, with Sint Maarten (Dutch part) ahead.
- How many years of comparable data are there for Sint Maarten (Dutch part) and Tonga?
- 13 years are reported by both, from 2010 to 2022.
- How do Sint Maarten (Dutch part) and Tonga rank globally for access to electricity, rural, percent of rural population?
- Sint Maarten (Dutch part) ranks 1st and Tonga ranks 1st of 211 countries.
- Where does this data come from?
- International Monetary Fund, published as Access to electricity, rural, Percent of rural population (Not Applicable). Statizoid refreshes it automatically from the source and publishes the full history for both places.
Individual pages
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.