Anguilla vs Montserrat: Credit to Agriculture — Value US$
Credit to Agriculture — Value US$ over time
- Anguilla
- Montserrat
How they compare
Anguilla currently reports 0.0296 million USD against 0.0041 million USD in Montserrat, a difference of 0.0255 million USD.
That makes Anguilla's figure about 7.3 times Montserrat's.
Across all 16 years both countries report, Anguilla has been ahead every year.
Anguilla ranks 58th and Montserrat ranks 59th of 59 countries.
Anguilla has averaged higher in every one of the 2 decades both report.
Head to head by decade
| Decade | Anguilla | Montserrat | Difference | Ahead |
|---|---|---|---|---|
| 2000s | 0.6436 million USD | 0.0413 million USD | 0.6023 million USD | Anguilla |
| 2010s | 0.3081 million USD | 0.0209 million USD | 0.2872 million USD | Anguilla |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher credit to agriculture — value us$, Anguilla or Montserrat?
- Anguilla, at 0.0296 million USD against 0.0041 million USD in Montserrat as of 2023.
- What is the difference in credit to agriculture — value us$ between Anguilla and Montserrat?
- 0.0255 million USD, with Anguilla ahead.
- How many years of comparable data are there for Anguilla and Montserrat?
- 16 years are reported by both, from 2000 to 2017.
- How do Anguilla and Montserrat rank globally for credit to agriculture — value us$?
- Anguilla ranks 58th and Montserrat ranks 59th of 59 countries.
- Where does this data come from?
- Food and Agriculture Organization of the United Nations, published as Credit to Agriculture — Value US$. 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.