Vanuatu vs Zimbabwe: Credit to Agriculture, Forestry and Fishing — Value Standard Local
Credit to Agriculture, Forestry and Fishing — Value Standard Local over time
- Vanuatu
- Zimbabwe
How they compare
Zimbabwe currently reports 841.47 million SLC against 609.06 million SLC in Vanuatu, a difference of 232.41 million SLC.
That makes Zimbabwe's figure about 1.4 times Vanuatu's.
The two have swapped places 1 time across 14 shared years of data; in 2011 it was Vanuatu ahead.
Vanuatu ranks 89th and Zimbabwe ranks 87th of 118 countries.
Zimbabwe has averaged higher in every one of the 2 decades both report.
Head to head by decade
| Decade | Vanuatu | Zimbabwe | Difference | Ahead |
|---|---|---|---|---|
| 2010s | 740.16 million SLC | 771.56 million SLC | 31.4 million SLC | Zimbabwe |
| 2020s | 809.27 million SLC | 262,343 million SLC | 261,534 million SLC | Zimbabwe |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher credit to agriculture, forestry and fishing — value standard local, Vanuatu or Zimbabwe?
- Zimbabwe, at 841.47 million SLC against 609.06 million SLC in Vanuatu as of 2024.
- What is the difference in credit to agriculture, forestry and fishing — value standard local between Vanuatu and Zimbabwe?
- 232.41 million SLC, with Zimbabwe ahead.
- How many years of comparable data are there for Vanuatu and Zimbabwe?
- 14 years are reported by both, from 2011 to 2024.
- How do Vanuatu and Zimbabwe rank globally for credit to agriculture, forestry and fishing — value standard local?
- Vanuatu ranks 89th and Zimbabwe ranks 87th 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.