Djibouti vs Lithuania: Net bilateral aid flows from DAC donors, Canada (current US$), gaps
Net bilateral aid flows from DAC donors, Canada (current US$), gaps over time
- Djibouti
- Lithuania
How they compare
Djibouti currently reports 372,679 current US$ against 280,000 current US$ in Lithuania, a difference of 92,679 current US$.
That makes Djibouti's figure about 1.3 times Lithuania's.
The two have swapped places 1 time across 12 shared years of data; in 1993 it was Lithuania ahead.
Djibouti ranks 112th and Lithuania ranks 115th of 167 countries.
Lithuania has averaged higher in every one of the 2 decades both report.
Head to head by decade
| Decade | Djibouti | Lithuania | Difference | Ahead |
|---|---|---|---|---|
| 1990s | 151,429 current US$ | 1.18 million current US$ | 1.03 million current US$ | Lithuania |
| 2000s | 212,000 current US$ | 486,000 current US$ | 274,000 current US$ | Lithuania |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher net bilateral aid flows from dac donors, canada (current us$), gaps, Djibouti or Lithuania?
- Djibouti, at 372,679 current US$ against 280,000 current US$ in Lithuania as of 2023.
- What is the difference in net bilateral aid flows from dac donors, canada (current us$), gaps between Djibouti and Lithuania?
- 92,679 current US$, with Djibouti ahead.
- How many years of comparable data are there for Djibouti and Lithuania?
- 12 years are reported by both, from 1993 to 2004.
- How do Djibouti and Lithuania rank globally for net bilateral aid flows from dac donors, canada (current us$), gaps?
- Djibouti ranks 112th and Lithuania ranks 115th of 167 countries.
- Where does this data come from?
- Statizoid (derived), published as Net bilateral aid flows from DAC donors, Canada (current US$), gaps filled. Statizoid refreshes it automatically from the source and publishes the full history for both places.
Individual pages
About this data
Net bilateral aid flows from DAC donors, Canada (current US$) with 239 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.