Russian Federation vs Tajikistan: Access to electricity, urban, Percent of urban population
Russian Federation
99.1
in 2022
Tajikistan
99
in 2022
Russian Federation rank
145th
Tajikistan rank
146th
Access to electricity, urban, Percent of urban population over time
- Russian Federation
- Tajikistan
How they compare
Russian Federation currently reports 99.1 against 99 in Tajikistan, a difference of 0.1.
The two have swapped places 4 times across 24 shared years of data; in 1999 it was Russian Federation ahead.
Russian Federation ranks 145th and Tajikistan ranks 146th of 212 countries.
Across the 4 decades both report, Russian Federation averaged higher in 2 and Tajikistan in 2.
Head to head by decade
| Decade | Russian Federation | Tajikistan | Difference | Ahead |
|---|---|---|---|---|
| 1990s | 100 | 99.92 | 0.0794 | Russian Federation |
| 2000s | 98.4 | 99.57 | 1.17 | Tajikistan |
| 2010s | 99.06 | 99.27 | 0.21 | Tajikistan |
| 2020s | 99.17 | 98.97 | 0.2 | Russian Federation |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher access to electricity, urban, percent of urban population, Russian Federation or Tajikistan?
- Russian Federation, at 99.1 against 99 in Tajikistan as of 2022.
- What is the difference in access to electricity, urban, percent of urban population between Russian Federation and Tajikistan?
- 0.1, with Russian Federation ahead.
- How many years of comparable data are there for Russian Federation and Tajikistan?
- 24 years are reported by both, from 1999 to 2022.
- How do Russian Federation and Tajikistan rank globally for access to electricity, urban, percent of urban population?
- Russian Federation ranks 145th and Tajikistan ranks 146th 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.
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.