El Salvador vs Lithuania: Newsprint — Import value, gaps filled
El Salvador
3,904 1000 USD
in 2024
Lithuania
3,667 1000 USD
in 2024
El Salvador rank
78th
Lithuania rank
81st
Newsprint — Import value, gaps filled over time
- El Salvador
- Lithuania
How they compare
El Salvador currently reports 3,904 1000 USD against 3,667 1000 USD in Lithuania, a difference of 237 1000 USD.
That makes El Salvador's figure about 1.1 times Lithuania's.
The two have swapped places 8 times across 32 shared years of data; in 1993 it was El Salvador ahead.
El Salvador ranks 78th and Lithuania ranks 81st of 206 countries.
Across the 4 decades both report, El Salvador averaged higher in 3 and Lithuania in 1.
Head to head by decade
| Decade | El Salvador | Lithuania | Difference | Ahead |
|---|---|---|---|---|
| 1990s | 14,428 1000 USD | 8,284 1000 USD | 6,144 1000 USD | El Salvador |
| 2000s | 14,999 1000 USD | 10,788 1000 USD | 4,211 1000 USD | El Salvador |
| 2010s | 10,695 1000 USD | 6,473 1000 USD | 4,222 1000 USD | El Salvador |
| 2020s | 5,032 1000 USD | 5,170 1000 USD | 137.4 1000 USD | Lithuania |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher newsprint — import value, gaps filled, El Salvador or Lithuania?
- El Salvador, at 3,904 1000 USD against 3,667 1000 USD in Lithuania as of 2024.
- What is the difference in newsprint — import value, gaps filled between El Salvador and Lithuania?
- 237 1000 USD, with El Salvador ahead.
- How many years of comparable data are there for El Salvador and Lithuania?
- 32 years are reported by both, from 1993 to 2024.
- How do El Salvador and Lithuania rank globally for newsprint — import value, gaps filled?
- El Salvador ranks 78th and Lithuania ranks 81st of 206 countries.
- Where does this data come from?
- Statizoid (derived), published as Newsprint — Import value, gaps filled. Statizoid refreshes it automatically from the source and publishes the full history for both places.
Individual pages
About this data
Newsprint — Import value with 102 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.