Botswana vs Rwanda: Oranges — Self-sufficiency ratio

Botswana
0.45
in 2023
Rwanda
0.29
in 2022
Botswana rank
66th
Rwanda rank
69th

Oranges — Self-sufficiency ratio over time

  • Botswana
  • Rwanda
0.20.40.60.81201020162023

How they compare

Botswana currently reports 0.45 against 0.29 in Rwanda, a difference of 0.16.

That makes Botswana's figure about 1.6 times Rwanda's.

The two have swapped places 3 times across 9 shared years of data; in 2010 it was Rwanda ahead.

Botswana ranks 66th and Rwanda ranks 69th of 101 countries.

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

Head to head by decade

Decade Botswana Rwanda Difference Ahead
2010s 0.3483 0.7467 0.3983 Rwanda
2020s 0.4 0.43 0.03 Rwanda

Averages of every year both report within each decade.

Frequently asked questions

Which has higher oranges — self-sufficiency ratio, Botswana or Rwanda?
Botswana, at 0.45 against 0.29 in Rwanda as of 2023.
What is the difference in oranges — self-sufficiency ratio between Botswana and Rwanda?
0.16, with Botswana ahead.
How many years of comparable data are there for Botswana and Rwanda?
9 years are reported by both, from 2010 to 2022.
How do Botswana and Rwanda rank globally for oranges — self-sufficiency ratio?
Botswana ranks 66th and Rwanda ranks 69th of 101 countries.
Where does this data come from?
Food and Agriculture Organization of the United Nations, published as Oranges — Self-sufficiency ratio. Statizoid refreshes it automatically from the source and publishes the full history for both places.

Individual pages

About this data

Indicator
Oranges — Self-sufficiency ratio
Source
Food and Agriculture Organization of the United Nations
Licence
CC BY-NC-SA 3.0 IGO (FAO)
Coverage
103 places, 1,173 data points, 2010–2024
Last refreshed

The food and agricultural trade indicators dataset is based on trade, production and gross domestic product (GDP) data. Agri-food trade data are collected, processed and disseminated by FAO according to the standard International Merchandise Trade Statistics (IMTS) Methodology. The data is mainly provided by UNSD, Eurostat, and other national authorities as needed. The source data is checked for outliers, trade partner data is used for non-reporting countries or missing cells, and data on food aid is added to take total cross-border trade flows into account. The trade database includes the following variables: export quantity, export value, import quantity, and import value. It includes all food and agricultural products imported/exported annually by all countries in the world. Production data details are available at https://www.fao.org/faostat/en/#data/QCL and GDP data details are available at https://www.fao.org/faostat/en/#data/MK