Lithuania vs Yemen: 2.5.2 Number: Value, per unit of GDP … unit GDP unknown
Lithuania
0 No per US$ of GDP
in 2025
Yemen
0 No per US$ of GDP
in 2018
Lithuania rank
83rd
Yemen rank
80th
2.5.2 Number: Value, per unit of GDP … unit GDP unknown over time
- Lithuania
- Yemen
How they compare
Yemen currently reports 0 No per US$ of GDP against 0 No per US$ of GDP in Lithuania, a difference of 0 No per US$ of GDP.
That makes Yemen's figure about 1.1 times Lithuania's.
The two have swapped places 1 time across 13 shared years of data; in 2006 it was Lithuania ahead.
Lithuania ranks 83rd and Yemen ranks 80th of 167 countries.
Lithuania has averaged higher in every one of the 2 decades both report.
Head to head by decade
| Decade | Lithuania | Yemen | Difference | Ahead |
|---|---|---|---|---|
| 2000s | 0 No per US$ of GDP | 0 No per US$ of GDP | 0 No per US$ of GDP | Lithuania |
| 2010s | 0 No per US$ of GDP | 0 No per US$ of GDP | 0 No per US$ of GDP | Lithuania |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher 2.5.2 number of transboundary breeds with unknown risk status, Lithuania or Yemen?
- Yemen, at 0 No per US$ of GDP against 0 No per US$ of GDP in Lithuania as of 2018.
- What is the difference in 2.5.2 number of transboundary breeds with unknown risk status between Lithuania and Yemen?
- 0 No per US$ of GDP, with Yemen ahead.
- How many years of comparable data are there for Lithuania and Yemen?
- 13 years are reported by both, from 2006 to 2018.
- How do Lithuania and Yemen rank globally for 2.5.2 number of transboundary breeds with unknown risk status?
- Lithuania ranks 83rd and Yemen ranks 80th of 167 countries.
- Where does this data come from?
- Statizoid (derived), published as 2.5.2 Number of transboundary breeds with unknown risk status — Value, per unit of GDP. Statizoid refreshes it automatically from the source and publishes the full history for both places.
Individual pages
About this data
2.5.2 Number of transboundary breeds with unknown risk status — Value divided by GDP (current US$), matched on country and year. Neither publisher issues this ratio as a series; it is computed here from both.