Kenya vs Vietnam: Resources to strengthen statistical capacity in developing countries
Kenya
21.80 million usd
in 2023
Vietnam
18.28 million usd
in 2023
Kenya rank
5th
Vietnam rank
8th
Resources to strengthen statistical capacity in developing countries over time
- Kenya
- Vietnam
How they compare
Kenya currently reports 21.80 million usd against 18.28 million usd in Vietnam, a difference of 3.53 million usd.
That makes Kenya's figure about 1.2 times Vietnam's.
The two have swapped places 3 times across 14 shared years of data; in 2010 it was Vietnam ahead.
Kenya ranks 5th and Vietnam ranks 8th of 146 countries.
Across the 2 decades both report, Kenya averaged higher in 1 and Vietnam in 1.
Head to head by decade
| Decade | Kenya | Vietnam | Difference | Ahead |
|---|---|---|---|---|
| 2010s | 12.76 million usd | 6.24 million usd | 6.52 million usd | Kenya |
| 2020s | 18.74 million usd | 19.83 million usd | 1.10 million usd | Vietnam |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher resources to strengthen statistical capacity in developing countries, Kenya or Vietnam?
- Kenya, at 21.80 million usd against 18.28 million usd in Vietnam as of 2023.
- What is the difference in resources to strengthen statistical capacity in developing countries between Kenya and Vietnam?
- 3.53 million usd, with Kenya ahead.
- How many years of comparable data are there for Kenya and Vietnam?
- 14 years are reported by both, from 2010 to 2023.
- How do Kenya and Vietnam rank globally for resources to strengthen statistical capacity in developing countries?
- Kenya ranks 5th and Vietnam ranks 8th 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).