Peru vs Romania: Shorn wool, greasy, including fleece-washed shorn wool — Gross
Peru
54,684 1000 SLC
in 2024
Romania
85,773 1000 SLC
in 2012
Peru rank
41st
Romania rank
38th
Shorn wool, greasy, including fleece-washed shorn wool — Gross over time
- Peru
- Romania
How they compare
Romania currently reports 85,773 1000 SLC against 54,684 1000 SLC in Peru, a difference of 31,089 1000 SLC.
That makes Romania's figure about 1.6 times Peru's.
The two have swapped places 1 time across 20 shared years of data; in 1993 it was Peru ahead.
Peru ranks 41st and Romania ranks 38th of 86 countries.
Across the 3 decades both report, Peru averaged higher in 2 and Romania in 1.
Head to head by decade
| Decade | Peru | Romania | Difference | Ahead |
|---|---|---|---|---|
| 1990s | 46,914 1000 SLC | 7,069 1000 SLC | 39,845 1000 SLC | Peru |
| 2000s | 44,843 1000 SLC | 43,194 1000 SLC | 1,649 1000 SLC | Peru |
| 2010s | 55,505 1000 SLC | 78,128 1000 SLC | 22,623 1000 SLC | Romania |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher shorn wool, greasy, including fleece-washed shorn wool — gross, Peru or Romania?
- Romania, at 85,773 1000 SLC against 54,684 1000 SLC in Peru as of 2012.
- What is the difference in shorn wool, greasy, including fleece-washed shorn wool — gross between Peru and Romania?
- 31,089 1000 SLC, with Romania ahead.
- How many years of comparable data are there for Peru and Romania?
- 20 years are reported by both, from 1993 to 2012.
- How do Peru and Romania rank globally for shorn wool, greasy, including fleece-washed shorn wool — gross?
- Peru ranks 41st and Romania ranks 38th of 86 countries.
- Where does this data come from?
- Food and Agriculture Organization of the United Nations, published as Shorn wool, greasy, including fleece-washed shorn wool — Gross Production Value (current thousand SLC). Statizoid refreshes it automatically from the source and publishes the full history for both places.
Individual pages
About this data
The domain provides detailed data on the value of agricultural production that is calculated by the agricultural production data and the price data at farm gate. Thus, the value of production measures the agricultural production in monetary terms at the farm gate level.