Azerbaijan vs Guinea: Resources to strengthen statistical capacity in developing countries
Azerbaijan
4.01 million usd
in 2023
Guinea
3.95 million usd
in 2023
Azerbaijan rank
51st
Guinea rank
52nd
Resources to strengthen statistical capacity in developing countries over time
- Azerbaijan
- Guinea
How they compare
Azerbaijan currently reports 4.01 million usd against 3.95 million usd in Guinea, a difference of 51,950 usd.
The two have swapped places 4 times across 14 shared years of data; in 2010 it was Azerbaijan ahead.
Azerbaijan ranks 51st and Guinea ranks 52nd of 146 countries.
Across the 2 decades both report, Azerbaijan averaged higher in 1 and Guinea in 1.
Head to head by decade
| Decade | Azerbaijan | Guinea | Difference | Ahead |
|---|---|---|---|---|
| 2010s | 4.27 million usd | 3.32 million usd | 950,197 usd | Azerbaijan |
| 2020s | 2.29 million usd | 3.47 million usd | 1.18 million usd | Guinea |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher resources to strengthen statistical capacity in developing countries, Azerbaijan or Guinea?
- Azerbaijan, at 4.01 million usd against 3.95 million usd in Guinea as of 2023.
- What is the difference in resources to strengthen statistical capacity in developing countries between Azerbaijan and Guinea?
- 51,950 usd, with Azerbaijan ahead.
- How many years of comparable data are there for Azerbaijan and Guinea?
- 14 years are reported by both, from 2010 to 2023.
- How do Azerbaijan and Guinea rank globally for resources to strengthen statistical capacity in developing countries?
- Azerbaijan ranks 51st and Guinea ranks 52nd 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).