Lithuania vs Peru: Imports of low carbon technology products, US dollar (World), gaps
Lithuania
1.60 billion
in 2024
Peru
1.60 billion
in 2024
Lithuania rank
63rd
Peru rank
64th
Imports of low carbon technology products, US dollar (World), gaps over time
- Lithuania
- Peru
How they compare
Lithuania currently reports 1.60 billion against 1.60 billion in Peru, a difference of 780,000.
The two have swapped places 5 times across 31 shared years of data; in 1994 it was Peru ahead.
Lithuania ranks 63rd and Peru ranks 64th of 194 countries.
Across the 4 decades both report, Lithuania averaged higher in 1 and Peru in 3.
Head to head by decade
| Decade | Lithuania | Peru | Difference | Ahead |
|---|---|---|---|---|
| 1990s | 114.96 million | 272.65 million | 157.69 million | Peru |
| 2000s | 328.14 million | 483.71 million | 155.57 million | Peru |
| 2010s | 776.18 million | 1.57 billion | 790.45 million | Peru |
| 2020s | 1.56 billion | 1.51 billion | 52.68 million | Lithuania |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher imports of low carbon technology products, us dollar (world), gaps, Lithuania or Peru?
- Lithuania, at 1.60 billion against 1.60 billion in Peru as of 2024.
- What is the difference in imports of low carbon technology products, us dollar (world), gaps between Lithuania and Peru?
- 780,000, with Lithuania ahead.
- How many years of comparable data are there for Lithuania and Peru?
- 31 years are reported by both, from 1994 to 2024.
- How do Lithuania and Peru rank globally for imports of low carbon technology products, us dollar (world), gaps?
- Lithuania ranks 63rd and Peru ranks 64th of 194 countries.
- Where does this data come from?
- Statizoid (derived), published as Imports of low carbon technology products, US dollar (World), gaps filled. Statizoid refreshes it automatically from the source and publishes the full history for both places.
Individual pages
About this data
Imports of low carbon technology products, US dollar (World) with 96 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.