Botswana vs Rwanda: Sorghum — Import dependency ratio

Botswana
0.22
in 2023
Rwanda
0.18
in 2022
Botswana rank
23rd
Rwanda rank
24th

Sorghum — Import dependency ratio over time

  • Botswana
  • Rwanda
-0.200.20.40.60.8201020162023

How they compare

Botswana currently reports 0.22 against 0.18 in Rwanda, a difference of 0.04.

That makes Botswana's figure about 1.2 times Rwanda's.

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

Botswana ranks 23rd and Rwanda ranks 24th 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 0.4078 0.1122 0.2956 Botswana
2020s -0.0167 0.1567 0.1733 Rwanda

Averages of every year both report within each decade.

Frequently asked questions

Which has higher sorghum — import dependency ratio, Botswana or Rwanda?
Botswana, at 0.22 against 0.18 in Rwanda as of 2023.
What is the difference in sorghum — import dependency ratio between Botswana and Rwanda?
0.04, with Botswana 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 — import dependency ratio?
Botswana ranks 23rd and Rwanda ranks 24th of 80 countries.
Where does this data come from?
Food and Agriculture Organization of the United Nations, published as Sorghum — Import dependency ratio. Statizoid refreshes it automatically from the source and publishes the full history for both places.

Individual pages

About this data

Indicator
Sorghum — Import dependency 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