Land Locked Developing Countries (LLDCs) vs Peru: Blueberries — Gross Production Index Number
Blueberries — Gross Production Index Number over time
- Land Locked Developing Countries (LLDCs)
- Peru
How they compare
Peru currently reports 2,942 against 666.86 in Land Locked Developing Countries (LLDCs), a difference of 2,275.
That makes Peru's figure about 4.4 times Land Locked Developing Countries (LLDCs)'s.
The two have swapped places 1 time across 15 shared years of data; in 2010 it was Land Locked Developing Countries (LLDCs) ahead.
Land Locked Developing Countries (LLDCs) ranks 2nd and Peru ranks 1st of 19 groups.
Peru has averaged higher in every one of the 2 decades both report.
Head to head by decade
| Decade | Land Locked Developing Countries (LLDCs) | Peru | Difference | Ahead |
|---|---|---|---|---|
| 2010s | 102.54 | 277.55 | 175.01 | Peru |
| 2020s | 399.38 | 2,135 | 1,735 | Peru |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher blueberries — gross production index number, Land Locked Developing Countries (LLDCs) or Peru?
- Peru, at 2,942 against 666.86 in Land Locked Developing Countries (LLDCs) as of 2024.
- What is the difference in blueberries — gross production index number between Land Locked Developing Countries (LLDCs) and Peru?
- 2,275, with Peru ahead.
- How many years of comparable data are there for Land Locked Developing Countries (LLDCs) and Peru?
- 15 years are reported by both, from 2010 to 2024.
- How do Land Locked Developing Countries (LLDCs) and Peru rank globally for blueberries — gross production index number?
- Land Locked Developing Countries (LLDCs) ranks 2nd and Peru ranks 1st of 19 groups.
- Where does this data come from?
- Food and Agriculture Organization of the United Nations, published as Blueberries — 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.