Lithuania vs Peru: Total FDI outflows — Value US$, gaps filled
Lithuania
1,044 million USD
in 2023
Peru
888.73 million USD
in 2023
Lithuania rank
53rd
Peru rank
56th
Total FDI outflows — Value US$, gaps filled over time
- Lithuania
- Peru
How they compare
Lithuania currently reports 1,044 million USD against 888.73 million USD in Peru, a difference of 155.27 million USD.
That makes Lithuania's figure about 1.2 times Peru's.
The two have swapped places 11 times across 29 shared years of data; in 1995 it was Peru ahead.
Lithuania ranks 53rd and Peru ranks 56th of 184 countries.
Across the 4 decades both report, Lithuania averaged higher in 2 and Peru in 2.
Head to head by decade
| Decade | Lithuania | Peru | Difference | Ahead |
|---|---|---|---|---|
| 1990s | 8.18 million USD | 53.21 million USD | 45.03 million USD | Peru |
| 2000s | 275.37 million USD | 170.33 million USD | 105.04 million USD | Lithuania |
| 2010s | 447.48 million USD | 724.05 million USD | 276.57 million USD | Peru |
| 2020s | 1,402 million USD | 654.05 million USD | 747.91 million USD | Lithuania |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher total fdi outflows — value us$, gaps filled, Lithuania or Peru?
- Lithuania, at 1,044 million USD against 888.73 million USD in Peru as of 2023.
- What is the difference in total fdi outflows — value us$, gaps filled between Lithuania and Peru?
- 155.27 million USD, with Lithuania ahead.
- How many years of comparable data are there for Lithuania and Peru?
- 29 years are reported by both, from 1995 to 2023.
- How do Lithuania and Peru rank globally for total fdi outflows — value us$, gaps filled?
- Lithuania ranks 53rd and Peru ranks 56th of 184 countries.
- Where does this data come from?
- Statizoid (derived), published as Total FDI outflows — Value US$, gaps filled. Statizoid refreshes it automatically from the source and publishes the full history for both places.
Individual pages
About this data
Total FDI outflows — Value US$ with 95 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.