China, mainland vs Georgia: Credit to Agriculture, Forestry and Fishing — Ratio of Value Added
Credit to Agriculture, Forestry and Fishing — Ratio of Value Added over time
- China, mainland
- Georgia
How they compare
Georgia currently reports 0.2575 against 0.2321 in China, mainland, a difference of 0.0254.
That makes Georgia's figure about 1.1 times China, mainland's.
The two have swapped places 1 time across 15 shared years of data; in 2010 it was China, mainland ahead.
China, mainland ranks 46th and Georgia ranks 44th of 119 countries.
Across the 2 decades both report, China, mainland averaged higher in 1 and Georgia in 1.
Head to head by decade
| Decade | China, mainland | Georgia | Difference | Ahead |
|---|---|---|---|---|
| 2010s | 0.1696 | 0.0864 | 0.0832 | China, mainland |
| 2020s | 0.201 | 0.218 | 0.0169 | Georgia |
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, China, mainland or Georgia?
- Georgia, at 0.2575 against 0.2321 in China, mainland as of 2024.
- What is the difference in credit to agriculture, forestry and fishing — ratio of value added between China, mainland and Georgia?
- 0.0254, with Georgia ahead.
- How many years of comparable data are there for China, mainland and Georgia?
- 15 years are reported by both, from 2010 to 2024.
- How do China, mainland and Georgia rank globally for credit to agriculture, forestry and fishing — ratio of value added?
- China, mainland ranks 46th and Georgia ranks 44th 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.