India vs South Sudan: Net official flows from UN agencies, UNFPA (current US$), gaps filled
Net official flows from UN agencies, UNFPA (current US$), gaps filled over time
- India
- South Sudan
How they compare
India currently reports 8.09 million current US$ against 6.92 million current US$ in South Sudan, a difference of 1.18 million current US$.
That makes India's figure about 1.2 times South Sudan's.
The two have swapped places 4 times across 12 shared years of data; in 2012 it was India ahead.
India ranks 3rd and South Sudan ranks 5th of 157 countries.
Across the 2 decades both report, India averaged higher in 1 and South Sudan in 1.
Head to head by decade
| Decade | India | South Sudan | Difference | Ahead |
|---|---|---|---|---|
| 2010s | 7.98 million current US$ | 3.92 million current US$ | 4.06 million current US$ | India |
| 2020s | 6.92 million current US$ | 6.97 million current US$ | 45,215 current US$ | South Sudan |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher net official flows from un agencies, unfpa (current us$), gaps filled, India or South Sudan?
- India, at 8.09 million current US$ against 6.92 million current US$ in South Sudan as of 2023.
- What is the difference in net official flows from un agencies, unfpa (current us$), gaps filled between India and South Sudan?
- 1.18 million current US$, with India ahead.
- How many years of comparable data are there for India and South Sudan?
- 12 years are reported by both, from 2012 to 2023.
- How do India and South Sudan rank globally for net official flows from un agencies, unfpa (current us$), gaps filled?
- India ranks 3rd and South Sudan ranks 5th of 157 countries.
- Where does this data come from?
- Statizoid (derived), published as Net official flows from UN agencies, UNFPA (current US$), gaps filled. Statizoid refreshes it automatically from the source and publishes the full history for both places.
Individual pages
About this data
Net official flows from UN agencies, UNFPA (current US$) with 350 missing years estimated by linear interpolation between the nearest real observations. Only gaps of 4 years or fewer are filled, and never beyond the first or last actual measurement — these are filled holes, not forecasts.