Indonesia vs Togo: Resources to strengthen statistical capacity in developing countries
Indonesia
6.41 million usd
in 2023
Togo
7.21 million usd
in 2023
Indonesia rank
40th
Togo rank
37th
Resources to strengthen statistical capacity in developing countries over time
- Indonesia
- Togo
How they compare
Togo currently reports 7.21 million usd against 6.41 million usd in Indonesia, a difference of 799,170 usd.
That makes Togo's figure about 1.1 times Indonesia's.
The two have swapped places 1 time across 14 shared years of data; in 2010 it was Indonesia ahead.
Indonesia ranks 40th and Togo ranks 37th of 146 countries.
Indonesia has averaged higher in every one of the 2 decades both report.
Head to head by decade
| Decade | Indonesia | Togo | Difference | Ahead |
|---|---|---|---|---|
| 2010s | 4.07 million usd | 1.36 million usd | 2.71 million usd | Indonesia |
| 2020s | 5.13 million usd | 4.32 million usd | 807,818 usd | Indonesia |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher resources to strengthen statistical capacity in developing countries, Indonesia or Togo?
- Togo, at 7.21 million usd against 6.41 million usd in Indonesia as of 2023.
- What is the difference in resources to strengthen statistical capacity in developing countries between Indonesia and Togo?
- 799,170 usd, with Togo ahead.
- How many years of comparable data are there for Indonesia and Togo?
- 14 years are reported by both, from 2010 to 2023.
- How do Indonesia and Togo rank globally for resources to strengthen statistical capacity in developing countries?
- Indonesia ranks 40th and Togo ranks 37th 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).