Eswatini vs Syrian Arab Republic: Access to electricity, rural, Percent of rural population
Eswatini
81.6
in 2022
Syrian Arab Republic
75
in 2022
Eswatini rank
158th
Syrian Arab Republic rank
161st
Access to electricity, rural, Percent of rural population over time
- Eswatini
- Syrian Arab Republic
How they compare
Eswatini currently reports 81.6 against 75 in Syrian Arab Republic, a difference of 6.6.
That makes Eswatini's figure about 1.1 times Syrian Arab Republic's.
The two have swapped places 3 times across 23 shared years of data; in 2000 it was Syrian Arab Republic ahead.
Eswatini ranks 158th and Syrian Arab Republic ranks 161st of 211 countries.
Across the 3 decades both report, Eswatini averaged higher in 1 and Syrian Arab Republic in 2.
Head to head by decade
| Decade | Eswatini | Syrian Arab Republic | Difference | Ahead |
|---|---|---|---|---|
| 2000s | 23.84 | 83.93 | 60.09 | Syrian Arab Republic |
| 2010s | 57.34 | 78.53 | 21.19 | Syrian Arab Republic |
| 2020s | 78.93 | 74.97 | 3.97 | Eswatini |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher access to electricity, rural, percent of rural population, Eswatini or Syrian Arab Republic?
- Eswatini, at 81.6 against 75 in Syrian Arab Republic as of 2022.
- What is the difference in access to electricity, rural, percent of rural population between Eswatini and Syrian Arab Republic?
- 6.6, with Eswatini ahead.
- How many years of comparable data are there for Eswatini and Syrian Arab Republic?
- 23 years are reported by both, from 2000 to 2022.
- How do Eswatini and Syrian Arab Republic rank globally for access to electricity, rural, percent of rural population?
- Eswatini ranks 158th and Syrian Arab Republic ranks 161st 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.
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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.