Eritrea vs Zambia: Total Credit — Value Standard Local Currency
Total Credit — Value Standard Local Currency over time
- Eritrea
- Zambia
How they compare
Zambia currently reports 21,634 million SLC against 21,318 million SLC in Eritrea, a difference of 316 million SLC.
Across all 13 years both countries report, Eritrea has been ahead every year.
Eritrea ranks 131st and Zambia ranks 130th of 165 countries.
Eritrea has averaged higher in every one of the 2 decades both report.
Head to head by decade
| Decade | Eritrea | Zambia | Difference | Ahead |
|---|---|---|---|---|
| 2000s | 3,600 million SLC | 411.96 million SLC | 3,188 million SLC | Eritrea |
| 2010s | 9,586 million SLC | 1,573 million SLC | 8,013 million SLC | Eritrea |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher total credit — value standard local currency, Eritrea or Zambia?
- Zambia, at 21,634 million SLC against 21,318 million SLC in Eritrea as of 2024.
- What is the difference in total credit — value standard local currency between Eritrea and Zambia?
- 316 million SLC, with Zambia ahead.
- How many years of comparable data are there for Eritrea and Zambia?
- 13 years are reported by both, from 2002 to 2014.
- How do Eritrea and Zambia rank globally for total credit — value standard local currency?
- Eritrea ranks 131st and Zambia ranks 130th 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.