Montserrat vs Sudan: Credit to Agriculture, Forestry and Fishing — Ratio of Value Added
Credit to Agriculture, Forestry and Fishing — Ratio of Value Added over time
- Montserrat
- Sudan
How they compare
Sudan currently reports 0.0099 against 0.0093 in Montserrat, a difference of 0.0006.
That makes Sudan's figure about 1.1 times Montserrat's.
The two have swapped places 1 time across 10 shared years of data; in 2012 it was Montserrat ahead.
Montserrat ranks 112th and Sudan ranks 111th of 119 countries.
Sudan has averaged higher in every one of the 2 decades both report.
Head to head by decade
| Decade | Montserrat | Sudan | Difference | Ahead |
|---|---|---|---|---|
| 2010s | 0.027 | 0.0751 | 0.0481 | Sudan |
| 2020s | 0.0141 | 0.0607 | 0.0466 | Sudan |
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, Montserrat or Sudan?
- Sudan, at 0.0099 against 0.0093 in Montserrat as of 2022.
- What is the difference in credit to agriculture, forestry and fishing — ratio of value added between Montserrat and Sudan?
- 0.0006, with Sudan ahead.
- How many years of comparable data are there for Montserrat and Sudan?
- 10 years are reported by both, from 2012 to 2021.
- How do Montserrat and Sudan rank globally for credit to agriculture, forestry and fishing — ratio of value added?
- Montserrat ranks 112th and Sudan ranks 111th of 119 countries.
- 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.