Peru vs Republic of Moldova: Watermelons — Gross Production Index Number
Peru
193.26
in 2024
Republic of Moldova
53.13
in 2024
Peru rank
14th
Republic of Moldova rank
15th
Watermelons — Gross Production Index Number over time
- Peru
- Republic of Moldova
How they compare
Peru currently reports 193.26 against 53.13 in Republic of Moldova, a difference of 140.13.
That makes Peru's figure about 3.6 times Republic of Moldova's.
The two have swapped places 6 times across 31 shared years of data; in 1994 it was Peru ahead.
Peru ranks 14th and Republic of Moldova ranks 15th of 109 countries.
Across the 4 decades both report, Peru averaged higher in 2 and Republic of Moldova in 2.
Head to head by decade
| Decade | Peru | Republic of Moldova | Difference | Ahead |
|---|---|---|---|---|
| 1990s | 68.12 | 44.24 | 23.88 | Peru |
| 2000s | 74.41 | 99.54 | 25.13 | Republic of Moldova |
| 2010s | 105.84 | 109.35 | 3.5 | Republic of Moldova |
| 2020s | 152.65 | 56.04 | 96.61 | Peru |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher watermelons — gross production index number, Peru or Republic of Moldova?
- Peru, at 193.26 against 53.13 in Republic of Moldova as of 2024.
- What is the difference in watermelons — gross production index number between Peru and Republic of Moldova?
- 140.13, with Peru ahead.
- How many years of comparable data are there for Peru and Republic of Moldova?
- 31 years are reported by both, from 1994 to 2024.
- How do Peru and Republic of Moldova rank globally for watermelons — gross production index number?
- Peru ranks 14th and Republic of Moldova ranks 15th of 109 countries.
- Where does this data come from?
- Food and Agriculture Organization of the United Nations, published as Watermelons — 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.