Credit to Agriculture, Forestry and Fishing — Value Standard Local in India
India: Credit to Agriculture, Forestry and Fishing — Value Standard Local was 16.67 million million SLC in 2024. ◆ Volatile
Credit to Agriculture, Forestry and Fishing — Value Standard Local in India, 1996–2024
Source: Food and Agriculture Organization of the United Nations. Measured in million SLC.
Analysis
The most recent figure for credit to agriculture, forestry and fishing — value standard local in India is 16.67 million million SLC, measured in 2024. That is the highest value across all 29 years on record.
That represents a change of up 28.6% on the previous year and up 125.7% over ten years.
Over the whole period, credit to agriculture, forestry and fishing — value standard local in India peaked at 16.67 million million SLC in 2024 and was at its lowest, 866,843 million SLC, in 1996.
India ranks 3rd of 118 countries on this measure, in the top 10%.
The series is highly variable year to year, so single readings are best treated with caution.
Credit to Agriculture, Forestry and Fishing — Value Standard Local in India, year by year
| Year | million SLC | Change |
|---|---|---|
| 1996 | 866,843 million SLC | — |
| 1997 | 893,956 million SLC | +3.1% |
| 1998 | 922,590 million SLC | +3.2% |
| 1999 | 1.04 million million SLC | +12.5% |
| 2000 | 1.12 million million SLC | +7.7% |
| 2001 | 1.23 million million SLC | +9.8% |
| 2002 | 1.46 million million SLC | +19.3% |
| 2003 | 1.67 million million SLC | +14.2% |
| 2004 | 2.01 million million SLC | +19.9% |
| 2005 | 2.45 million million SLC | +22.4% |
| 2006 | 3.14 million million SLC | +28.1% |
| 2007 | 3.92 million million SLC | +24.6% |
| 2008 | 4.27 million million SLC | +9.1% |
| 2009 | 4.51 million million SLC | +5.5% |
| 2010 | 5.14 million million SLC | +14.1% |
| 2011 | 5.58 million million SLC | +8.6% |
| 2012 | 5.26 million million SLC | -5.8% |
| 2013 | 7.15 million million SLC | +35.9% |
| 2014 | 7.39 million million SLC | +3.4% |
| 2015 | 8.11 million million SLC | +9.9% |
| 2016 | 8.46 million million SLC | +4.2% |
| 2017 | 9.26 million million SLC | +9.4% |
| 2018 | 10.07 million million SLC | +8.8% |
| 2019 | 10.33 million million SLC | +2.5% |
| 2020 | 10.52 million million SLC | +1.9% |
| 2021 | 10.62 million million SLC | +1.0% |
| 2022 | 11.12 million million SLC | +4.6% |
| 2023 | 12.96 million million SLC | +16.6% |
| 2024 | 16.67 million million SLC | +28.6% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1990s | 930,337 million SLC | 866,843 million SLC | 1.04 million million SLC | 4 |
| 2000s | 2.58 million million SLC | 1.12 million million SLC | 4.51 million million SLC | 10 |
| 2010s | 7.67 million million SLC | 5.14 million million SLC | 10.33 million million SLC | 10 |
| 2020s | 12.38 million million SLC | 10.52 million million SLC | 16.67 million million SLC | 5 |
Countries ranked near India
- 1 Côte d'Ivoire 78,421 million SLC compare
- 1 Indonesia 403.72 million million SLC compare
- 1 Viet Nam 788.20 million million SLC compare
- 2 Iran (Islamic Republic of) 621.02 million million SLC compare
- 2 Republic of Korea 66.34 million million SLC compare
- 3 Cabo Verde 513.66 million SLC compare
- 3 United Republic of Tanzania 2.58 million million SLC compare
- 4 Cambodia 15.81 million million SLC compare
- 4 Syrian Arab Republic 42,377 million SLC compare
- 5 China, mainland 1.99 million million SLC compare
- 5 Democratic Republic of the Congo 36,274 million SLC compare
- 6 Bolivia (Plurinational State of) 15,063 million SLC compare
- 6 Uganda 1.92 million million SLC compare
More environment data for India
- Historical exposure to drought — Land soil moisture anomaly 11.05 Percentage change (2025)
- Historical exposure to drought — Cropland soil moisture anomaly 12.52 Percentage change (2025)
- Standard Deviation, annual growth rate 0 % change on previous year (2025)
- Standard Deviation 0.254 °C (2025)
- Temperature change 0.954 °C (2025)
- Value Added (Agriculture, Forestry and Fishing) — Value US$, 2015 4.59 % change on previous year (2024)
- Value Added (Agriculture, Forestry and Fishing) — Value US$, 2015 0 million USD per US$ of GDP (2024)
- Value Added (Agriculture, Forestry and Fishing) — Value US$, 2015 0.0004 million USD per person (2024)
- Primary wood and paper products (export/import) — Import value 0.8147 % change on previous year (2024)
- Primary wood and paper products (export/import) — Import value, per 0 1000 USD per US$ of GDP (2024)
Frequently asked questions
- What is credit to agriculture, forestry and fishing — value standard local in India?
- Credit to agriculture, forestry and fishing — value standard local in India was 16.67 million million SLC in 2024, according to Food and Agriculture Organization of the United Nations.
- What is the highest credit to agriculture, forestry and fishing — value standard local recorded in India?
- The highest recorded value was 16.67 million million SLC in 2024.
- What is the lowest credit to agriculture, forestry and fishing — value standard local recorded in India?
- The lowest recorded value was 866,843 million SLC in 1996.
- How does India rank for credit to agriculture, forestry and fishing — value standard local?
- India ranks 3rd out of 118 countries with data for 2024.
- Is credit to agriculture, forestry and fishing — value standard local rising or falling in India?
- Over the last ten years it is up 125.7%. The long-run trend across the full record is volatile.
- Where does this India 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 — Value Standard Local Currency, 2015 prices. Statizoid updates them automatically from the source API.
Download this data
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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.