Romania vs Southern Asia: Linseed — Gross Production Index Number
Romania
115.94
in 2017
Southern Asia
96.88
in 2024
Romania rank
15th
Southern Asia rank
13th
Linseed — Gross Production Index Number over time
- Romania
- Southern Asia
How they compare
Romania currently reports 115.94 against 96.88 in Southern Asia, a difference of 19.06.
That makes Romania's figure about 1.2 times Southern Asia's.
The two have swapped places 5 times across 55 shared years of data; in 1961 it was Romania ahead.
Romania ranks 15th and Southern Asia ranks 13th of 51 countries.
Across the 6 decades both report, Romania averaged higher in 4 and Southern Asia in 2.
Head to head by decade
| Decade | Romania | Southern Asia | Difference | Ahead |
|---|---|---|---|---|
| 1960s | 872.76 | 273.37 | 599.39 | Romania |
| 1970s | 1,540 | 351.93 | 1,188 | Romania |
| 1980s | 1,298 | 288.46 | 1,010 | Romania |
| 1990s | 329.6 | 231.97 | 97.63 | Romania |
| 2000s | 34.57 | 129.49 | 94.91 | Southern Asia |
| 2010s | 100.22 | 106.62 | 6.4 | Southern Asia |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher linseed — gross production index number, Romania or Southern Asia?
- Romania, at 115.94 against 96.88 in Southern Asia as of 2017.
- What is the difference in linseed — gross production index number between Romania and Southern Asia?
- 19.06, with Romania ahead.
- How many years of comparable data are there for Romania and Southern Asia?
- 55 years are reported by both, from 1961 to 2017.
- How do Romania and Southern Asia rank globally for linseed — gross production index number?
- Romania ranks 15th and Southern Asia ranks 13th of 51 countries.
- 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.