Panama vs Sudan: Credit to Agriculture, Forestry and Fishing — Value Standard Local
Credit to Agriculture, Forestry and Fishing — Value Standard Local over time
- Panama
- Sudan
How they compare
Panama currently reports 1,811 million SLC against 1,741 million SLC in Sudan, a difference of 70 million SLC.
The two have swapped places 1 time across 11 shared years of data; in 2012 it was Sudan ahead.
Panama ranks 74th and Sudan ranks 76th of 118 countries.
Sudan has averaged higher in every one of the 2 decades both report.
Head to head by decade
| Decade | Panama | Sudan | Difference | Ahead |
|---|---|---|---|---|
| 2010s | 1,598 million SLC | 12,587 million SLC | 10,989 million SLC | Sudan |
| 2020s | 1,778 million SLC | 7,650 million SLC | 5,872 million SLC | Sudan |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher credit to agriculture, forestry and fishing — value standard local, Panama or Sudan?
- Panama, at 1,811 million SLC against 1,741 million SLC in Sudan as of 2024.
- What is the difference in credit to agriculture, forestry and fishing — value standard local between Panama and Sudan?
- 70 million SLC, with Panama ahead.
- How many years of comparable data are there for Panama and Sudan?
- 11 years are reported by both, from 2012 to 2022.
- How do Panama and Sudan rank globally for credit to agriculture, forestry and fishing — value standard local?
- Panama ranks 74th and Sudan ranks 76th of 118 countries.
- Where does this data come from?
- Food and Agriculture Organization of the United Nations, published as Credit to Agriculture, Forestry and Fishing — Value Standard Local Currency, 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.