Cameroon vs Nepal: Resources to strengthen statistical capacity in developing countries
Cameroon
15.85 million usd
in 2023
Nepal
13.96 million usd
in 2023
Cameroon rank
14th
Nepal rank
15th
Resources to strengthen statistical capacity in developing countries over time
- Cameroon
- Nepal
How they compare
Cameroon currently reports 15.85 million usd against 13.96 million usd in Nepal, a difference of 1.89 million usd.
That makes Cameroon's figure about 1.1 times Nepal's.
The two have swapped places 5 times across 14 shared years of data; in 2010 it was Nepal ahead.
Cameroon ranks 14th and Nepal ranks 15th of 146 countries.
Nepal has averaged higher in every one of the 2 decades both report.
Head to head by decade
| Decade | Cameroon | Nepal | Difference | Ahead |
|---|---|---|---|---|
| 2010s | 3.36 million usd | 4.30 million usd | 935,705 usd | Nepal |
| 2020s | 10.77 million usd | 27.24 million usd | 16.47 million usd | Nepal |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher resources to strengthen statistical capacity in developing countries, Cameroon or Nepal?
- Cameroon, at 15.85 million usd against 13.96 million usd in Nepal as of 2023.
- What is the difference in resources to strengthen statistical capacity in developing countries between Cameroon and Nepal?
- 1.89 million usd, with Cameroon ahead.
- How many years of comparable data are there for Cameroon and Nepal?
- 14 years are reported by both, from 2010 to 2023.
- How do Cameroon and Nepal rank globally for resources to strengthen statistical capacity in developing countries?
- Cameroon ranks 14th and Nepal ranks 15th of 146 countries.
- Where does this data come from?
- Data from multiple sources compiled by the UN – processed by Our World in Data, published as Resources to strengthen statistical capacity in developing countries. Statizoid refreshes it automatically from the source and publishes the full history for both places.
Individual pages
About this data
Dollar value of all resources made available to strengthen statistical capacity in developing countries (current United States dollars).