Democratic Republic of Congo vs Nepal: Paying taxes: Time (hours per year) - Score
Paying taxes: Time (hours per year) - Score over time
- Democratic Republic of Congo
- Nepal
How they compare
Democratic Republic of Congo currently reports 54.1 against 49.3 in Nepal, a difference of 4.8.
That makes Democratic Republic of Congo's figure about 1.1 times Nepal's.
The two have swapped places 2 times across 15 shared years of data; in 2005 it was Democratic Republic of Congo ahead.
Democratic Republic of Congo ranks 163rd and Nepal ranks 166th of 188 countries.
Across the 2 decades both report, Democratic Republic of Congo averaged higher in 1 and Nepal in 1.
Head to head by decade
| Decade | Democratic Republic of Congo | Nepal | Difference | Ahead |
|---|---|---|---|---|
| 2000s | 59.97 | 46.68 | 13.29 | Democratic Republic of Congo |
| 2010s | 54.62 | 55.02 | 0.4019 | Nepal |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher paying taxes: time (hours per year) - score, Democratic Republic of Congo or Nepal?
- Democratic Republic of Congo, at 54.1 against 49.3 in Nepal as of 2019.
- What is the difference in paying taxes: time (hours per year) - score between Democratic Republic of Congo and Nepal?
- 4.8, with Democratic Republic of Congo ahead.
- How many years of comparable data are there for Democratic Republic of Congo and Nepal?
- 15 years are reported by both, from 2005 to 2019.
- How do Democratic Republic of Congo and Nepal rank globally for paying taxes: time (hours per year) - score?
- Democratic Republic of Congo ranks 163rd and Nepal ranks 166th of 188 countries.
- Where does this data come from?
- The World Bank, published as Paying taxes: Time (hours per year) - Score. Statizoid refreshes it automatically from the source and publishes the full history for both places.
Individual pages
About this data
The score for time to comply with tax laws benchmarks economies with respect to the regulatory best practice on the indicator. The score is indicated on a scale from 0 to 100, where 0 represents the worst regulatory performance and 100 the best regulatory performance.