Credit to Agriculture, Forestry and Fishing — Value Standard Local in India
India: Credit to Agriculture, Forestry and Fishing — Value Standard Local was 24.20 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
In 2024, credit to agriculture, forestry and fishing — value standard local in India stood at 24.20 million million SLC. That is the highest value across all 29 years on record.
Compared with earlier readings it is up 33.1% on the previous year and up 235.1% over ten years.
Over the whole period, credit to agriculture, forestry and fishing — value standard local in India peaked at 24.20 million million SLC in 2024 and was at its lowest, 288,090 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 | 288,090 million SLC | — |
| 1997 | 316,342 million SLC | +9.8% |
| 1998 | 352,625 million SLC | +11.5% |
| 1999 | 408,893 million SLC | +16.0% |
| 2000 | 456,383 million SLC | +11.6% |
| 2001 | 517,304 million SLC | +13.3% |
| 2002 | 640,086 million SLC | +23.7% |
| 2003 | 759,352 million SLC | +18.6% |
| 2004 | 962,450 million SLC | +26.7% |
| 2005 | 1.24 million million SLC | +29.2% |
| 2006 | 1.73 million million SLC | +38.8% |
| 2007 | 2.30 million million SLC | +33.3% |
| 2008 | 2.74 million million SLC | +19.1% |
| 2009 | 3.09 million million SLC | +12.9% |
| 2010 | 3.90 million million SLC | +26.1% |
| 2011 | 4.61 million million SLC | +18.1% |
| 2012 | 4.69 million million SLC | +1.7% |
| 2013 | 6.76 million million SLC | +44.3% |
| 2014 | 7.22 million million SLC | +6.8% |
| 2015 | 8.11 million million SLC | +12.4% |
| 2016 | 8.73 million million SLC | +7.6% |
| 2017 | 9.94 million million SLC | +13.8% |
| 2018 | 11.23 million million SLC | +13.0% |
| 2019 | 11.79 million million SLC | +5.0% |
| 2020 | 12.59 million million SLC | +6.8% |
| 2021 | 13.78 million million SLC | +9.4% |
| 2022 | 15.39 million million SLC | +11.7% |
| 2023 | 18.18 million million SLC | +18.1% |
| 2024 | 24.20 million million SLC | +33.1% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1990s | 341,488 million SLC | 288,090 million SLC | 408,893 million SLC | 4 |
| 2000s | 1.44 million million SLC | 456,383 million SLC | 3.09 million million SLC | 10 |
| 2010s | 7.70 million million SLC | 3.90 million million SLC | 11.79 million million SLC | 10 |
| 2020s | 16.83 million million SLC | 12.59 million million SLC | 24.20 million million SLC | 5 |
Countries ranked near India
- 1 Côte d'Ivoire 90,112 million SLC compare
- 1 Indonesia 548.00 million million SLC compare
- 1 Viet Nam 1.02 billion million SLC compare
- 2 Iran (Islamic Republic of) 679.40 million million SLC compare
- 2 Republic of Korea 76.83 million million SLC compare
- 3 Cabo Verde 628.26 million SLC compare
- 3 United Republic of Tanzania 3.30 million million SLC compare
- 4 Cambodia 19.49 million million SLC compare
- 4 Syrian Arab Republic 350,747 million SLC compare
- 5 Democratic Republic of the Congo 111,827 million SLC compare
- 5 Lebanon 14.30 million million SLC compare
- 6 Bolivia (Plurinational State of) 16,241 million SLC compare
- 6 Russian Federation 2.83 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)
- Sawlogs and veneer logs — Production, annual growth rate 0 % change on previous year (2024)
- Sawlogs and veneer logs, non-coniferous — Production, annual growth 0 % change on previous year (2024)
- Other industrial roundwood — Production, annual growth rate 0 % change on previous year (2024)
- Other industrial roundwood, non-coniferous (production) — Production 0 % change on previous year (2024)
- Wood charcoal — Production, annual growth rate 0 % change on previous year (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 24.20 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 24.20 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 288,090 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 235.1%. 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. Statizoid updates them automatically from the source API.
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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.