Rwanda vs Yemen: Credit to Agriculture, Forestry and Fishing — Value Standard Local
Credit to Agriculture, Forestry and Fishing — Value Standard Local over time
- Rwanda
- Yemen
How they compare
Rwanda currently reports 16,326 million SLC against 15,875 million SLC in Yemen, a difference of 451 million SLC.
The two have swapped places 3 times across 15 shared years of data; in 2000 it was Yemen ahead.
Rwanda ranks 52nd and Yemen ranks 53rd of 118 countries.
Rwanda has averaged higher in every one of the 2 decades both report.
Head to head by decade
| Decade | Rwanda | Yemen | Difference | Ahead |
|---|---|---|---|---|
| 2000s | 9,085 million SLC | 7,921 million SLC | 1,164 million SLC | Rwanda |
| 2010s | 21,950 million SLC | 14,422 million SLC | 7,527 million SLC | Rwanda |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher credit to agriculture, forestry and fishing — value standard local, Rwanda or Yemen?
- Rwanda, at 16,326 million SLC against 15,875 million SLC in Yemen as of 2024.
- What is the difference in credit to agriculture, forestry and fishing — value standard local between Rwanda and Yemen?
- 451 million SLC, with Rwanda ahead.
- How many years of comparable data are there for Rwanda and Yemen?
- 15 years are reported by both, from 2000 to 2014.
- How do Rwanda and Yemen rank globally for credit to agriculture, forestry and fishing — value standard local?
- Rwanda ranks 52nd and Yemen ranks 53rd of 118 countries.
- Where does this data come from?
- Food and Agriculture Organization of the United Nations, published as Credit to Agriculture, Forestry and Fishing — Value Standard Local Currency, 2015 prices. Statizoid refreshes it automatically from the source and publishes the full history for both places.
Individual pages
About this data
Credit to agriculture measures the amount of loans and advances given by the banking sector to farmers, rural households, agricultural cooperatives, or any other agri-related businesses. Each country’s central bank compiles its credit stocks by economic activities as part of its monetary and financial statistics publications via annual or quarterly reports online. Data collection has been carried out mostly through reports found on the central bank websites. Data are collected and compiled according to the International Standard Industrial Classification of All Economic Activities (ISIC Rev. 4: https://unstats.un.org/unsd/classifications/Econ/isic) with a special concentration on the credit to agriculture, forestry and fishing sector separately from the ones to manufacturing and services.