Brazil vs Paraguay: Watermelons — Gross per capita Production Index Number
Brazil
88.51
in 2024
Paraguay
89.77
in 2024
Brazil rank
72nd
Paraguay rank
69th
Watermelons — Gross per capita Production Index Number over time
- Brazil
- Paraguay
How they compare
Paraguay currently reports 89.77 against 88.51 in Brazil, a difference of 1.26.
The two have swapped places 4 times across 64 shared years of data; in 1961 it was Paraguay ahead.
Brazil ranks 72nd and Paraguay ranks 69th of 109 countries.
Across the 7 decades both report, Brazil averaged higher in 1 and Paraguay in 6.
Head to head by decade
| Decade | Brazil | Paraguay | Difference | Ahead |
|---|---|---|---|---|
| 1960s | 29.39 | 139.59 | 110.2 | Paraguay |
| 1970s | 23.99 | 131.73 | 107.74 | Paraguay |
| 1980s | 25.45 | 179.42 | 153.97 | Paraguay |
| 1990s | 31.4 | 127.86 | 96.46 | Paraguay |
| 2000s | 87.31 | 112.39 | 25.08 | Paraguay |
| 2010s | 102.59 | 101.68 | 0.915 | Brazil |
| 2020s | 90.38 | 92.12 | 1.74 | Paraguay |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher watermelons — gross per capita production index number, Brazil or Paraguay?
- Paraguay, at 89.77 against 88.51 in Brazil as of 2024.
- What is the difference in watermelons — gross per capita production index number between Brazil and Paraguay?
- 1.26, with Paraguay ahead.
- How many years of comparable data are there for Brazil and Paraguay?
- 64 years are reported by both, from 1961 to 2024.
- How do Brazil and Paraguay rank globally for watermelons — gross per capita production index number?
- Brazil ranks 72nd and Paraguay ranks 69th of 109 countries.
- Where does this data come from?
- Food and Agriculture Organization of the United Nations, published as Watermelons — Gross per capita 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.