Tanzania, United Republic of vs Uganda: Access to electricity, rural, Percent of rural population
Tanzania, United Republic of
36
in 2022
Uganda
35.9
in 2022
Tanzania, United Republic of rank
177th
Uganda rank
179th
Access to electricity, rural, Percent of rural population over time
- Tanzania, United Republic of
- Uganda
How they compare
Tanzania, United Republic of currently reports 36 against 35.9 in Uganda, a difference of 0.1.
The two have swapped places 6 times across 22 shared years of data; in 2000 it was Tanzania, United Republic of ahead.
Tanzania, United Republic of ranks 177th and Uganda ranks 179th of 211 countries.
Uganda has averaged higher in every one of the 3 decades both report.
Head to head by decade
| Decade | Tanzania, United Republic of | Uganda | Difference | Ahead |
|---|---|---|---|---|
| 2000s | 3.4 | 3.71 | 0.3111 | Uganda |
| 2010s | 10.08 | 14.84 | 4.76 | Uganda |
| 2020s | 27.1 | 34.87 | 7.77 | Uganda |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher access to electricity, rural, percent of rural population, Tanzania, United Republic of or Uganda?
- Tanzania, United Republic of, at 36 against 35.9 in Uganda as of 2022.
- What is the difference in access to electricity, rural, percent of rural population between Tanzania, United Republic of and Uganda?
- 0.1, with Tanzania, United Republic of ahead.
- How many years of comparable data are there for Tanzania, United Republic of and Uganda?
- 22 years are reported by both, from 2000 to 2022.
- How do Tanzania, United Republic of and Uganda rank globally for access to electricity, rural, percent of rural population?
- Tanzania, United Republic of ranks 177th and Uganda ranks 179th 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.