Cameroon vs Laos: Resources to strengthen statistical capacity in developing countries
Cameroon
15.85 million usd
in 2023
Laos
13.24 million usd
in 2023
Cameroon rank
14th
Laos rank
17th
Resources to strengthen statistical capacity in developing countries over time
- Cameroon
- Laos
How they compare
Cameroon currently reports 15.85 million usd against 13.24 million usd in Laos, a difference of 2.61 million usd.
That makes Cameroon's figure about 1.2 times Laos's.
The two have swapped places 3 times across 14 shared years of data; in 2010 it was Laos ahead.
Cameroon ranks 14th and Laos ranks 17th of 146 countries.
Across the 2 decades both report, Cameroon averaged higher in 1 and Laos in 1.
Head to head by decade
| Decade | Cameroon | Laos | Difference | Ahead |
|---|---|---|---|---|
| 2010s | 3.36 million usd | 4.53 million usd | 1.16 million usd | Laos |
| 2020s | 10.77 million usd | 7.75 million usd | 3.02 million usd | Cameroon |
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 Laos?
- Cameroon, at 15.85 million usd against 13.24 million usd in Laos as of 2023.
- What is the difference in resources to strengthen statistical capacity in developing countries between Cameroon and Laos?
- 2.61 million usd, with Cameroon ahead.
- How many years of comparable data are there for Cameroon and Laos?
- 14 years are reported by both, from 2010 to 2023.
- How do Cameroon and Laos rank globally for resources to strengthen statistical capacity in developing countries?
- Cameroon ranks 14th and Laos ranks 17th 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).