Mongolia vs Montserrat: Total Credit β Value Standard Local Currency
Total Credit β Value Standard Local Currency over time
- Mongolia
- Montserrat
How they compare
Mongolia currently reports 33.30 million million SLC against 105.4 million SLC in Montserrat, a difference of 33.30 million million SLC.
Across all 22 years both countries report, Mongolia has been ahead every year.
Mongolia ranks 15th and Montserrat ranks 13th of 163 countries.
Mongolia has averaged higher in every one of the 3 decades both report.
Head to head by decade
| Decade | Mongolia | Montserrat | Difference | Ahead |
|---|---|---|---|---|
| 2000s | 1.26 million million SLC | 35.05 million SLC | 1.26 million million SLC | Mongolia |
| 2010s | 11.85 million million SLC | 83.97 million SLC | 11.85 million million SLC | Mongolia |
| 2020s | 18.92 million million SLC | 105.8 million SLC | 18.92 million million SLC | Mongolia |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher total credit β value standard local currency, Mongolia or Montserrat?
- Mongolia, at 33.30 million million SLC against 105.4 million SLC in Montserrat as of 2024.
- What is the difference in total credit β value standard local currency between Mongolia and Montserrat?
- 33.30 million million SLC, with Mongolia ahead.
- How many years of comparable data are there for Mongolia and Montserrat?
- 22 years are reported by both, from 2000 to 2021.
- How do Mongolia and Montserrat rank globally for total credit β value standard local currency?
- Mongolia ranks 15th and Montserrat ranks 13th of 163 countries.
- Where does this data come from?
- Food and Agriculture Organization of the United Nations, published as Total Credit β Value Standard Local Currency. 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 countryβs 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.