Least Developed Countries (LDCs) vs Peru: Ginger, raw — Gross Production Index Number
Ginger, raw — Gross Production Index Number over time
- Least Developed Countries (LDCs)
- Peru
How they compare
Peru currently reports 626.11 against 108.65 in Least Developed Countries (LDCs), a difference of 517.46.
That makes Peru's figure about 5.8 times Least Developed Countries (LDCs)'s.
The two have swapped places 1 time across 18 shared years of data; in 2007 it was Least Developed Countries (LDCs) ahead.
Least Developed Countries (LDCs) ranks 5th and Peru ranks 2nd of 6 groups.
Across the 3 decades both report, Least Developed Countries (LDCs) averaged higher in 1 and Peru in 2.
Head to head by decade
| Decade | Least Developed Countries (LDCs) | Peru | Difference | Ahead |
|---|---|---|---|---|
| 2000s | 70.51 | 4.29 | 66.22 | Least Developed Countries (LDCs) |
| 2010s | 96.08 | 103.19 | 7.1 | Peru |
| 2020s | 109.49 | 498.43 | 388.93 | Peru |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher ginger, raw — gross production index number, Least Developed Countries (LDCs) or Peru?
- Peru, at 626.11 against 108.65 in Least Developed Countries (LDCs) as of 2024.
- What is the difference in ginger, raw — gross production index number between Least Developed Countries (LDCs) and Peru?
- 517.46, with Peru ahead.
- How many years of comparable data are there for Least Developed Countries (LDCs) and Peru?
- 18 years are reported by both, from 2007 to 2024.
- How do Least Developed Countries (LDCs) and Peru rank globally for ginger, raw — gross production index number?
- Least Developed Countries (LDCs) ranks 5th and Peru ranks 2nd of 6 groups.
- Where does this data come from?
- Food and Agriculture Organization of the United Nations, published as Ginger, raw — 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.