Panama vs Zimbabwe: Total Credit — Value Standard Local Currency
Total Credit — Value Standard Local Currency over time
- Panama
- Zimbabwe
How they compare
Panama currently reports 60,281 million SLC against 45,981 million SLC in Zimbabwe, a difference of 14,300 million SLC.
That makes Panama's figure about 1.3 times Zimbabwe's.
The two have swapped places 2 times across 14 shared years of data; in 2011 it was Panama ahead.
Panama ranks 114th and Zimbabwe ranks 116th of 165 countries.
Across the 2 decades both report, Panama averaged higher in 1 and Zimbabwe in 1.
Head to head by decade
| Decade | Panama | Zimbabwe | Difference | Ahead |
|---|---|---|---|---|
| 2010s | 40,329 million SLC | 3,354 million SLC | 36,975 million SLC | Panama |
| 2020s | 55,694 million SLC | 2.18 million million SLC | 2.12 million million SLC | Zimbabwe |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher total credit — value standard local currency, Panama or Zimbabwe?
- Panama, at 60,281 million SLC against 45,981 million SLC in Zimbabwe as of 2024.
- What is the difference in total credit — value standard local currency between Panama and Zimbabwe?
- 14,300 million SLC, with Panama ahead.
- How many years of comparable data are there for Panama and Zimbabwe?
- 14 years are reported by both, from 2011 to 2024.
- How do Panama and Zimbabwe rank globally for total credit — value standard local currency?
- Panama ranks 114th and Zimbabwe ranks 116th 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.