Moldova vs Zambia: Resources to strengthen statistical capacity in developing countries
Moldova
7.30 million usd
in 2023
Zambia
6.73 million usd
in 2023
Moldova rank
36th
Zambia rank
39th
Resources to strengthen statistical capacity in developing countries over time
- Moldova
- Zambia
How they compare
Moldova currently reports 7.30 million usd against 6.73 million usd in Zambia, a difference of 565,180 usd.
That makes Moldova's figure about 1.1 times Zambia's.
The two have swapped places 3 times across 14 shared years of data; in 2010 it was Zambia ahead.
Moldova ranks 36th and Zambia ranks 39th of 146 countries.
Zambia has averaged higher in every one of the 2 decades both report.
Head to head by decade
| Decade | Moldova | Zambia | Difference | Ahead |
|---|---|---|---|---|
| 2010s | 2.31 million usd | 4.61 million usd | 2.29 million usd | Zambia |
| 2020s | 4.29 million usd | 7.13 million usd | 2.84 million usd | Zambia |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher resources to strengthen statistical capacity in developing countries, Moldova or Zambia?
- Moldova, at 7.30 million usd against 6.73 million usd in Zambia as of 2023.
- What is the difference in resources to strengthen statistical capacity in developing countries between Moldova and Zambia?
- 565,180 usd, with Moldova ahead.
- How many years of comparable data are there for Moldova and Zambia?
- 14 years are reported by both, from 2010 to 2023.
- How do Moldova and Zambia rank globally for resources to strengthen statistical capacity in developing countries?
- Moldova ranks 36th and Zambia ranks 39th 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).