Botswana vs Namibia: Watermelons — Gross Production Value

Botswana
7,232 1000 SLC
in 2024
Namibia
7,033 1000 SLC
in 2024
Botswana rank
79th
Namibia rank
81st

Watermelons — Gross Production Value over time

  • Botswana
  • Namibia
02.5k5.0k7.5k10.0k12.5k199720102024

How they compare

Botswana currently reports 7,232 1000 SLC against 7,033 1000 SLC in Namibia, a difference of 199 1000 SLC.

The two have swapped places 5 times across 10 shared years of data; in 2015 it was Namibia ahead.

Botswana ranks 79th and Namibia ranks 81st of 99 countries.

Namibia has averaged higher in every one of the 2 decades both report.

Head to head by decade

Decade Botswana Namibia Difference Ahead
2010s 6,353 1000 SLC 7,782 1000 SLC 1,428 1000 SLC Namibia
2020s 6,531 1000 SLC 7,504 1000 SLC 973 1000 SLC Namibia

Averages of every year both report within each decade.

Frequently asked questions

Which has higher watermelons — gross production value, Botswana or Namibia?
Botswana, at 7,232 1000 SLC against 7,033 1000 SLC in Namibia as of 2024.
What is the difference in watermelons — gross production value between Botswana and Namibia?
199 1000 SLC, with Botswana ahead.
How many years of comparable data are there for Botswana and Namibia?
10 years are reported by both, from 2015 to 2024.
How do Botswana and Namibia rank globally for watermelons — gross production value?
Botswana ranks 79th and Namibia ranks 81st 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

Indicator
Watermelons — Gross Production Value (current thousand SLC)
Unit
1000 SLC
Source
Food and Agriculture Organization of the United Nations
Licence
CC BY-NC-SA 3.0 IGO (FAO)
Coverage
101 places, 2,960 data points, 1991–2024
Last refreshed

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.