Least Developed Countries (LDCs) vs Lithuania: Linseed — Gross Production Index Number
Linseed — Gross Production Index Number over time
- Least Developed Countries (LDCs)
- Lithuania
How they compare
Lithuania currently reports 272.29 against 114.86 in Least Developed Countries (LDCs), a difference of 157.43.
That makes Lithuania's figure about 2.4 times Least Developed Countries (LDCs)'s.
The two have swapped places 6 times across 26 shared years of data; in 1992 it was Lithuania ahead.
Least Developed Countries (LDCs) ranks 2nd and Lithuania ranks 2nd of 3 groups.
Lithuania has averaged higher in every one of the 3 decades both report.
Head to head by decade
| Decade | Least Developed Countries (LDCs) | Lithuania | Difference | Ahead |
|---|---|---|---|---|
| 1990s | 117.94 | 1,238 | 1,120 | Lithuania |
| 2000s | 110.4 | 524.63 | 414.24 | Lithuania |
| 2010s | 103.56 | 117.72 | 14.16 | Lithuania |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher linseed — gross production index number, Least Developed Countries (LDCs) or Lithuania?
- Lithuania, at 272.29 against 114.86 in Least Developed Countries (LDCs) as of 2017.
- What is the difference in linseed — gross production index number between Least Developed Countries (LDCs) and Lithuania?
- 157.43, with Lithuania ahead.
- How many years of comparable data are there for Least Developed Countries (LDCs) and Lithuania?
- 26 years are reported by both, from 1992 to 2017.
- How do Least Developed Countries (LDCs) and Lithuania rank globally for linseed — gross production index number?
- Least Developed Countries (LDCs) ranks 2nd and Lithuania ranks 2nd of 3 groups.
- Where does this data come from?
- Food and Agriculture Organization of the United Nations, published as Linseed — Gross Production Index Number (2014-2016 = 100). Statizoid refreshes it automatically from the source and publishes the full history for both places.
Individual pages
About this data
The FAO indices of agricultural production show the relative level of the aggregate volume of agricultural production for each year in comparison with the base period 2014-2016. Indices for meat production are computed based on data on production from indigenous animals.