Dominica vs Rwanda: Tomatoes — Import dependency ratio

Dominica
0.02
in 2023
Rwanda
0.03
in 2022
Dominica rank
62nd
Rwanda rank
60th

Tomatoes — Import dependency ratio over time

  • Dominica
  • Rwanda
-0.0100.010.020.030.04201020162023

How they compare

Rwanda currently reports 0.03 against 0.02 in Dominica, a difference of 0.01.

That makes Rwanda's figure about 1.5 times Dominica's.

The two have swapped places 2 times across 6 shared years of data; in 2010 it was Rwanda ahead.

Dominica ranks 62nd and Rwanda ranks 60th of 126 countries.

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

Head to head by decade

Decade Dominica Rwanda Difference Ahead
2010s 0.0067 0.0133 0.0067 Rwanda
2020s 0.0133 0.01 0.0033 Dominica

Averages of every year both report within each decade.

Frequently asked questions

Which has higher tomatoes — import dependency ratio, Dominica or Rwanda?
Rwanda, at 0.03 against 0.02 in Dominica as of 2022.
What is the difference in tomatoes — import dependency ratio between Dominica and Rwanda?
0.01, with Rwanda ahead.
How many years of comparable data are there for Dominica and Rwanda?
6 years are reported by both, from 2010 to 2022.
How do Dominica and Rwanda rank globally for tomatoes — import dependency ratio?
Dominica ranks 62nd and Rwanda ranks 60th of 126 countries.
Where does this data come from?
Food and Agriculture Organization of the United Nations, published as Tomatoes — Import dependency ratio. Statizoid refreshes it automatically from the source and publishes the full history for both places.

Individual pages

About this data

Indicator
Tomatoes — Import dependency ratio
Source
Food and Agriculture Organization of the United Nations
Licence
CC BY-NC-SA 3.0 IGO (FAO)
Coverage
128 places, 1,603 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