Trinidad and Tobago vs Zimbabwe: Credit to Agriculture, Forestry and Fishing — Ratio of Value Added
Credit to Agriculture, Forestry and Fishing — Ratio of Value Added over time
- Trinidad and Tobago
- Zimbabwe
How they compare
Trinidad and Tobago currently reports 0.1888 against 0.1874 in Zimbabwe, a difference of 0.0014.
The two have swapped places 3 times across 14 shared years of data; in 2011 it was Zimbabwe ahead.
Trinidad and Tobago ranks 56th and Zimbabwe ranks 57th of 119 countries.
Zimbabwe has averaged higher in every one of the 2 decades both report.
Head to head by decade
| Decade | Trinidad and Tobago | Zimbabwe | Difference | Ahead |
|---|---|---|---|---|
| 2010s | 0.088 | 0.297 | 0.209 | Zimbabwe |
| 2020s | 0.1556 | 0.216 | 0.0605 | Zimbabwe |
Averages of every year both report within each decade.
Frequently asked questions
- Which has higher credit to agriculture, forestry and fishing — ratio of value added, Trinidad and Tobago or Zimbabwe?
- Trinidad and Tobago, at 0.1888 against 0.1874 in Zimbabwe as of 2024.
- What is the difference in credit to agriculture, forestry and fishing — ratio of value added between Trinidad and Tobago and Zimbabwe?
- 0.0014, with Trinidad and Tobago ahead.
- How many years of comparable data are there for Trinidad and Tobago and Zimbabwe?
- 14 years are reported by both, from 2011 to 2024.
- How do Trinidad and Tobago and Zimbabwe rank globally for credit to agriculture, forestry and fishing — ratio of value added?
- Trinidad and Tobago ranks 56th and Zimbabwe ranks 57th of 119 countries.
- Where does this data come from?
- Food and Agriculture Organization of the United Nations, published as Credit to Agriculture, Forestry and Fishing — Ratio of Value Added (Agriculture, Forestry and Fishing) US$, 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.