Angola vs Bangladesh: Resources to strengthen statistical capacity in developing countries
Angola
8.09 million usd
in 2023
Bangladesh
7.81 million usd
in 2023
Angola rank
31st
Bangladesh rank
33rd
Resources to strengthen statistical capacity in developing countries over time
- Angola
- Bangladesh
How they compare
Angola currently reports 8.09 million usd against 7.81 million usd in Bangladesh, a difference of 279,910 usd.
The two have swapped places 5 times across 14 shared years of data; in 2010 it was Bangladesh ahead.
Angola ranks 31st and Bangladesh ranks 33rd of 146 countries.
Across the 2 decades both report, Angola averaged higher in 1 and Bangladesh in 1.
Head to head by decade
| Decade | Angola | Bangladesh | Difference | Ahead |
|---|---|---|---|---|
| 2010s | 4.66 million usd | 6.59 million usd | 1.93 million usd | Bangladesh |
| 2020s | 13.39 million usd | 5.17 million usd | 8.22 million usd | Angola |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher resources to strengthen statistical capacity in developing countries, Angola or Bangladesh?
- Angola, at 8.09 million usd against 7.81 million usd in Bangladesh as of 2023.
- What is the difference in resources to strengthen statistical capacity in developing countries between Angola and Bangladesh?
- 279,910 usd, with Angola ahead.
- How many years of comparable data are there for Angola and Bangladesh?
- 14 years are reported by both, from 2010 to 2023.
- How do Angola and Bangladesh rank globally for resources to strengthen statistical capacity in developing countries?
- Angola ranks 31st and Bangladesh ranks 33rd 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).