Thailand vs Zimbabwe: Resources to strengthen statistical capacity in developing countries
Thailand
646,810 usd
in 2023
Zimbabwe
591,290 usd
in 2023
Thailand rank
93rd
Zimbabwe rank
94th
Resources to strengthen statistical capacity in developing countries over time
- Thailand
- Zimbabwe
How they compare
Thailand currently reports 646,810 usd against 591,290 usd in Zimbabwe, a difference of 55,520 usd.
That makes Thailand's figure about 1.1 times Zimbabwe's.
The two have swapped places 1 time across 14 shared years of data; in 2010 it was Zimbabwe ahead.
Thailand ranks 93rd and Zimbabwe ranks 94th of 146 countries.
Zimbabwe has averaged higher in every one of the 2 decades both report.
Head to head by decade
| Decade | Thailand | Zimbabwe | Difference | Ahead |
|---|---|---|---|---|
| 2010s | 274,138 usd | 4.00 million usd | 3.73 million usd | Zimbabwe |
| 2020s | 422,432 usd | 2.03 million usd | 1.61 million usd | Zimbabwe |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher resources to strengthen statistical capacity in developing countries, Thailand or Zimbabwe?
- Thailand, at 646,810 usd against 591,290 usd in Zimbabwe as of 2023.
- What is the difference in resources to strengthen statistical capacity in developing countries between Thailand and Zimbabwe?
- 55,520 usd, with Thailand ahead.
- How many years of comparable data are there for Thailand and Zimbabwe?
- 14 years are reported by both, from 2010 to 2023.
- How do Thailand and Zimbabwe rank globally for resources to strengthen statistical capacity in developing countries?
- Thailand ranks 93rd and Zimbabwe ranks 94th 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).