Colombia vs Paraguay: Watermelons — Gross Production Value
Watermelons — Gross Production Value over time
- Colombia
- Paraguay
How they compare
Colombia currently reports 387.95 million 1000 SLC against 319.21 million 1000 SLC in Paraguay, a difference of 68.74 million 1000 SLC.
That makes Colombia's figure about 1.2 times Paraguay's.
The two have swapped places 3 times across 34 shared years of data; in 1991 it was Paraguay ahead.
Colombia ranks 5th and Paraguay ranks 7th of 99 countries.
Across the 4 decades both report, Colombia averaged higher in 1 and Paraguay in 3.
Head to head by decade
| Decade | Colombia | Paraguay | Difference | Ahead |
|---|---|---|---|---|
| 1990s | 9.50 million 1000 SLC | 35.21 million 1000 SLC | 25.71 million 1000 SLC | Paraguay |
| 2000s | 40.19 million 1000 SLC | 49.58 million 1000 SLC | 9.39 million 1000 SLC | Paraguay |
| 2010s | 109.14 million 1000 SLC | 254.98 million 1000 SLC | 145.84 million 1000 SLC | Paraguay |
| 2020s | 349.00 million 1000 SLC | 291.40 million 1000 SLC | 57.60 million 1000 SLC | Colombia |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher watermelons — gross production value, Colombia or Paraguay?
- Colombia, at 387.95 million 1000 SLC against 319.21 million 1000 SLC in Paraguay as of 2024.
- What is the difference in watermelons — gross production value between Colombia and Paraguay?
- 68.74 million 1000 SLC, with Colombia ahead.
- How many years of comparable data are there for Colombia and Paraguay?
- 34 years are reported by both, from 1991 to 2024.
- How do Colombia and Paraguay rank globally for watermelons — gross production value?
- Colombia ranks 5th and Paraguay ranks 7th of 99 countries.
- Where does this data come from?
- Food and Agriculture Organization of the United Nations, published as Watermelons — Gross Production Value (current thousand SLC). Statizoid refreshes it automatically from the source and publishes the full history for both places.
Individual pages
About this data
The domain provides detailed data on the value of agricultural production that is calculated by the agricultural production data and the price data at farm gate. Thus, the value of production measures the agricultural production in monetary terms at the farm gate level.