Africa vs Botswana: Credit to Agriculture, Forestry and Fishing — Ratio of Value Added
Credit to Agriculture, Forestry and Fishing — Ratio of Value Added over time
- Africa
- Botswana
How they compare
Botswana currently reports 0.4338 against 0.0559 in Africa, a difference of 0.3779.
That makes Botswana's figure about 7.8 times Africa's.
Across all 15 years both countries report, Botswana has been ahead every year.
Africa ranks 25th and Botswana ranks 24th of 29 groups.
Botswana has averaged higher in every one of the 2 decades both report.
Head to head by decade
| Decade | Africa | Botswana | Difference | Ahead |
|---|---|---|---|---|
| 2010s | 0.0566 | 0.2859 | 0.2293 | Botswana |
| 2020s | 0.0578 | 0.3864 | 0.3286 | Botswana |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher credit to agriculture, forestry and fishing — ratio of value added, Africa or Botswana?
- Botswana, at 0.4338 against 0.0559 in Africa as of 2024.
- What is the difference in credit to agriculture, forestry and fishing — ratio of value added between Africa and Botswana?
- 0.3779, with Botswana ahead.
- How many years of comparable data are there for Africa and Botswana?
- 15 years are reported by both, from 2010 to 2024.
- How do Africa and Botswana rank globally for credit to agriculture, forestry and fishing — ratio of value added?
- Africa ranks 25th and Botswana ranks 24th of 29 groups.
- Where does this data come from?
- Food and Agriculture Organization of the United Nations, published as Credit to Agriculture, Forestry and Fishing — Ratio of Value Added (Agriculture, Forestry and Fishing) US$, 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.