Credit to Agriculture, Forestry and Fishing — Ratio of Value Added in China, mainland
China, mainland: Credit to Agriculture, Forestry and Fishing — Ratio of Value Added was 0.2321 in 2024. ▲ Rising
Credit to Agriculture, Forestry and Fishing — Ratio of Value Added in China, mainland, 2010–2024
Source: Food and Agriculture Organization of the United Nations.
Analysis
The most recent figure for credit to agriculture, forestry and fishing — ratio of value added in China, mainland is 0.2321, measured in 2024. That is the highest value across all 15 years on record.
Compared with earlier readings it is up 5.3% on the previous year and up 23.6% over ten years.
Over the whole period, credit to agriculture, forestry and fishing — ratio of value added in China, mainland peaked at 0.2321 in 2024 and was at its lowest, 0.1478, in 2011.
China, mainland ranks 46th of 119 countries on this measure, in the middle of the range.
The long-run direction has been consistently rising across the 15 years of available data.
Credit to Agriculture, Forestry and Fishing — Ratio of Value Added in China, mainland, year by year
| Year | Value | Change |
|---|---|---|
| 2010 | 0.1535 | — |
| 2011 | 0.1478 | -3.7% |
| 2012 | 0.152 | +2.8% |
| 2013 | 0.1711 | +12.6% |
| 2014 | 0.1877 | +9.7% |
| 2015 | 0.1892 | +0.8% |
| 2016 | 0.1838 | -2.8% |
| 2017 | 0.1803 | -1.9% |
| 2018 | 0.167 | -7.4% |
| 2019 | 0.164 | -1.8% |
| 2020 | 0.1778 | +8.4% |
| 2021 | 0.1796 | +1.0% |
| 2022 | 0.1953 | +8.8% |
| 2023 | 0.2205 | +12.9% |
| 2024 | 0.2321 | +5.3% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 2010s | 0.1696 | 0.1478 | 0.1892 | 10 |
| 2020s | 0.201 | 0.1778 | 0.2321 | 5 |
Countries ranked near China, mainland
More environment data for China, mainland
- Standard Deviation, annual growth rate 0 % change on previous year (2025)
- Standard Deviation 0.279 °C (2025)
- Temperature change 1.92 °C (2025)
- Cropland — Share in Agricultural land 32.82 % (2024)
- Arable land — Share in Agricultural land 27.68 % (2024)
- Arable land — Area 108,466 1000 ha (2024)
- Cropland — Area per capita 0.09 ha/cap (2024)
- Cropland — Area 128,608 1000 ha (2024)
- Agricultural land — Share in Land area 41.74 % (2024)
- Cropland — Share in Land area 13.7 % (2024)
Frequently asked questions
- What is credit to agriculture, forestry and fishing — ratio of value added in China, mainland?
- Credit to agriculture, forestry and fishing — ratio of value added in China, mainland was 0.2321 in 2024, according to Food and Agriculture Organization of the United Nations.
- What is the highest credit to agriculture, forestry and fishing — ratio of value added recorded in China, mainland?
- The highest recorded value was 0.2321 in 2024.
- What is the lowest credit to agriculture, forestry and fishing — ratio of value added recorded in China, mainland?
- The lowest recorded value was 0.1478 in 2011.
- How does China, mainland rank for credit to agriculture, forestry and fishing — ratio of value added?
- China, mainland ranks 46th out of 119 countries with data for 2024.
- Is credit to agriculture, forestry and fishing — ratio of value added rising or falling in China, mainland?
- Over the last ten years it is up 23.6%. The long-run trend across the full record is rising.
- Where does this China, mainland data come from?
- The figures come from Food and Agriculture Organization of the United Nations, published as part of Credit to Agriculture, Forestry and Fishing — Ratio of Value Added (Agriculture, Forestry and Fishing) US$, 2015 prices. Statizoid updates them automatically from the source API.
Download this data
CSV · JSON — 15 observations, free to reuse under CC BY-NC-SA 3.0 IGO (FAO).
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.