Credit to Agriculture, Forestry and Fishing — Value Standard Local in Indonesia
Indonesia: Credit to Agriculture, Forestry and Fishing — Value Standard Local was 403.72 million million SLC in 2024. ◆ Volatile
Credit to Agriculture, Forestry and Fishing — Value Standard Local in Indonesia, 1999–2024
Source: Food and Agriculture Organization of the United Nations. Measured in million SLC.
Analysis
Indonesia recorded 403.72 million million SLC for credit to agriculture, forestry and fishing — value standard local in 2024. That is the highest value across all 26 years on record.
The figure is up 1.4% on the previous year and up 75.0% over ten years.
Over the whole period, credit to agriculture, forestry and fishing — value standard local in Indonesia peaked at 403.72 million million SLC in 2024 and was at its lowest, 65.24 million million SLC, in 2001.
That places Indonesia 1st out of 118 countries with data for 2024, putting it 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 Indonesia, year by year
| Year | million SLC | Change |
|---|---|---|
| 1999 | 93.17 million million SLC | — |
| 2000 | 69.71 million million SLC | -25.2% |
| 2001 | 65.24 million million SLC | -6.4% |
| 2002 | 65.95 million million SLC | +1.1% |
| 2003 | 68.05 million million SLC | +3.2% |
| 2004 | 85.36 million million SLC | +25.4% |
| 2005 | 83.91 million million SLC | -1.7% |
| 2006 | 89.37 million million SLC | +6.5% |
| 2007 | 99.28 million million SLC | +11.1% |
| 2008 | 99.41 million million SLC | +0.1% |
| 2009 | 104.73 million million SLC | +5.3% |
| 2010 | 115.39 million million SLC | +10.2% |
| 2011 | 135.02 million million SLC | +17.0% |
| 2012 | 168.78 million million SLC | +25.0% |
| 2013 | 204.24 million million SLC | +21.0% |
| 2014 | 230.74 million million SLC | +13.0% |
| 2015 | 265.88 million million SLC | +15.2% |
| 2016 | 290.86 million million SLC | +9.4% |
| 2017 | 310.92 million million SLC | +6.9% |
| 2018 | 334.92 million million SLC | +7.7% |
| 2019 | 345.04 million million SLC | +3.0% |
| 2020 | 361.16 million million SLC | +4.7% |
| 2021 | 369.21 million million SLC | +2.2% |
| 2022 | 372.17 million million SLC | +0.8% |
| 2023 | 398.02 million million SLC | +6.9% |
| 2024 | 403.72 million million SLC | +1.4% |
Indonesia compared with similar countries
- Indonesia's 403.72 million million SLC is above the median for upper middle income countries, which is 6,402 million SLC, 63059.9× the median. (34 countries reporting)
- Indonesia's 403.72 million million SLC is above the median for East Asia & Pacific, which is 80,494 million SLC, 5015.5× the median. (11 countries reporting)
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1990s | 93.17 million million SLC | 93.17 million million SLC | 93.17 million million SLC | 1 |
| 2000s | 83.10 million million SLC | 65.24 million million SLC | 104.73 million million SLC | 10 |
| 2010s | 240.18 million million SLC | 115.39 million million SLC | 345.04 million million SLC | 10 |
| 2020s | 380.86 million million SLC | 361.16 million million SLC | 403.72 million million SLC | 5 |
Countries ranked near Indonesia
- 1 Côte d'Ivoire 78,421 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 India 16.67 million 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
More environment data for Indonesia
- Historical exposure to drought — Land soil moisture anomaly 1.36 Percentage change (2025)
- Historical exposure to drought — Cropland soil moisture anomaly 1.41 Percentage change (2025)
- Standard Deviation, annual growth rate 0 % change on previous year (2025)
- Standard Deviation 0.153 °C (2025)
- Temperature change 1.12 °C (2025)
- Cropland — Area, annual growth rate 0.1222 % change on previous year (2024)
- Cropland — Area, per unit of GDP 0 1000 ha per US$ of GDP (2024)
- Cropland — Area, per capita 0.0002 1000 ha per person (2024)
- Arable land — Area, annual growth rate -0.5016 % change on previous year (2024)
- Arable land — Area, per unit of GDP 0 1000 ha per US$ of GDP (2024)
Frequently asked questions
- What is credit to agriculture, forestry and fishing — value standard local in Indonesia?
- Credit to agriculture, forestry and fishing — value standard local in Indonesia was 403.72 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 Indonesia?
- The highest recorded value was 403.72 million million SLC in 2024.
- What is the lowest credit to agriculture, forestry and fishing — value standard local recorded in Indonesia?
- The lowest recorded value was 65.24 million million SLC in 2001.
- How does Indonesia rank for credit to agriculture, forestry and fishing — value standard local?
- Indonesia ranks 1st out of 118 countries with data for 2024.
- Is credit to agriculture, forestry and fishing — value standard local rising or falling in Indonesia?
- Over the last ten years it is up 75.0%. The long-run trend across the full record is volatile.
- Where does this Indonesia 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.
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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.