Botswana vs Rwanda: Sorghum — Self-sufficiency ratio

Botswana
0.78
in 2023
Rwanda
0.82
in 2022
Botswana rank
58th
Rwanda rank
57th

Sorghum — Self-sufficiency ratio over time

  • Botswana
  • Rwanda
0.20.40.60.811.2201020162023

How they compare

Rwanda currently reports 0.82 against 0.78 in Botswana, a difference of 0.04.

That makes Rwanda's figure about 1.1 times Botswana's.

The two have swapped places 1 time across 12 shared years of data; in 2010 it was Rwanda ahead.

Botswana ranks 58th and Rwanda ranks 57th of 80 countries.

Across the 2 decades both report, Botswana averaged higher in 1 and Rwanda in 1.

Head to head by decade

Decade Botswana Rwanda Difference Ahead
2010s 0.5922 0.8878 0.2956 Rwanda
2020s 1.02 0.8433 0.1733 Botswana

Averages of every year both report within each decade.

Frequently asked questions

Which has higher sorghum — self-sufficiency ratio, Botswana or Rwanda?
Rwanda, at 0.82 against 0.78 in Botswana as of 2022.
What is the difference in sorghum — self-sufficiency ratio between Botswana and Rwanda?
0.04, with Rwanda ahead.
How many years of comparable data are there for Botswana and Rwanda?
12 years are reported by both, from 2010 to 2022.
How do Botswana and Rwanda rank globally for sorghum — self-sufficiency ratio?
Botswana ranks 58th and Rwanda ranks 57th of 80 countries.
Where does this data come from?
Food and Agriculture Organization of the United Nations, published as Sorghum — Self-sufficiency ratio. Statizoid refreshes it automatically from the source and publishes the full history for both places.

Individual pages

About this data

Indicator
Sorghum — Self-sufficiency ratio
Source
Food and Agriculture Organization of the United Nations
Licence
CC BY-NC-SA 3.0 IGO (FAO)
Coverage
82 places, 907 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