Peru vs Russian Federation: Tea leaves — Gross Production Index Number
Peru
55.53
in 2024
Russian Federation
43.14
in 2024
Peru rank
38th
Russian Federation rank
39th
Tea leaves — Gross Production Index Number over time
- Peru
- Russian Federation
How they compare
Peru currently reports 55.53 against 43.14 in Russian Federation, a difference of 12.39.
That makes Peru's figure about 1.3 times Russian Federation's.
The two have swapped places 3 times across 33 shared years of data; in 1992 it was Russian Federation ahead.
Peru ranks 38th and Russian Federation ranks 39th of 41 countries.
Russian Federation has averaged higher in every one of the 4 decades both report.
Head to head by decade
| Decade | Peru | Russian Federation | Difference | Ahead |
|---|---|---|---|---|
| 1990s | 170.96 | 1,252 | 1,081 | Russian Federation |
| 2000s | 126.11 | 348.46 | 222.35 | Russian Federation |
| 2010s | 81.94 | 101.1 | 19.16 | Russian Federation |
| 2020s | 50.55 | 55.68 | 5.13 | Russian Federation |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher tea leaves — gross production index number, Peru or Russian Federation?
- Peru, at 55.53 against 43.14 in Russian Federation as of 2024.
- What is the difference in tea leaves — gross production index number between Peru and Russian Federation?
- 12.39, with Peru ahead.
- How many years of comparable data are there for Peru and Russian Federation?
- 33 years are reported by both, from 1992 to 2024.
- How do Peru and Russian Federation rank globally for tea leaves — gross production index number?
- Peru ranks 38th and Russian Federation ranks 39th of 41 countries.
- Where does this data come from?
- Food and Agriculture Organization of the United Nations, published as Tea leaves — 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.