Armenia vs Mexico: Total Credit — Value Standard Local Currency
Total Credit — Value Standard Local Currency over time
- Armenia
- Mexico
How they compare
Mexico currently reports 6.42 million million SLC against 6.35 million million SLC in Armenia, a difference of 67,750 million SLC.
Across all 21 years both countries report, Mexico has been ahead every year.
Armenia ranks 35th and Mexico ranks 34th of 165 countries.
Mexico has averaged higher in every one of the 3 decades both report.
Head to head by decade
| Decade | Armenia | Mexico | Difference | Ahead |
|---|---|---|---|---|
| 2000s | 377,847 million SLC | 1.27 million million SLC | 887,894 million SLC | Mexico |
| 2010s | 2.09 million million SLC | 2.86 million million SLC | 773,291 million SLC | Mexico |
| 2020s | 4.68 million million SLC | 5.19 million million SLC | 519,418 million SLC | Mexico |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher total credit — value standard local currency, Armenia or Mexico?
- Mexico, at 6.42 million million SLC against 6.35 million million SLC in Armenia as of 2024.
- What is the difference in total credit — value standard local currency between Armenia and Mexico?
- 67,750 million SLC, with Mexico ahead.
- How many years of comparable data are there for Armenia and Mexico?
- 21 years are reported by both, from 2004 to 2024.
- How do Armenia and Mexico rank globally for total credit — value standard local currency?
- Armenia ranks 35th and Mexico ranks 34th of 165 countries.
- Where does this data come from?
- Food and Agriculture Organization of the United Nations, published as Total Credit — 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 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.