Credit to Agriculture, Forestry and Fishing — Value Standard Local in Singapore
Singapore: Credit to Agriculture, Forestry and Fishing — Value Standard Local was 1,393 million SLC in 2024. ◆ Volatile
Credit to Agriculture, Forestry and Fishing — Value Standard Local in Singapore, 1991–2024
Source: Food and Agriculture Organization of the United Nations. Measured in million SLC.
Analysis
Singapore recorded 1,393 million SLC for credit to agriculture, forestry and fishing — value standard local in 2024.
The figure is down 1.3% on the previous year and down 75.6% over ten years.
Over the whole period, credit to agriculture, forestry and fishing — value standard local in Singapore peaked at 5,806 million SLC in 2016 and was at its lowest, 112.99 million SLC, in 1992.
Singapore ranks 77th of 118 countries on this measure, in the middle of the range.
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 Singapore, year by year
| Year | million SLC | Change |
|---|---|---|
| 1991 | 128.33 million SLC | — |
| 1992 | 112.99 million SLC | -12.0% |
| 1993 | 133.2 million SLC | +17.9% |
| 1994 | 146.19 million SLC | +9.8% |
| 1995 | 188.41 million SLC | +28.9% |
| 1996 | 154.74 million SLC | -17.9% |
| 1997 | 216.24 million SLC | +39.7% |
| 1998 | 261.21 million SLC | +20.8% |
| 1999 | 231.89 million SLC | -11.2% |
| 2000 | 208.45 million SLC | -10.1% |
| 2001 | 134.25 million SLC | -35.6% |
| 2002 | 194.32 million SLC | +44.7% |
| 2003 | 372.94 million SLC | +91.9% |
| 2004 | 249.53 million SLC | -33.1% |
| 2005 | 337.64 million SLC | +35.3% |
| 2006 | 368.75 million SLC | +9.2% |
| 2007 | 247.95 million SLC | -32.8% |
| 2008 | 306.78 million SLC | +23.7% |
| 2009 | 273.88 million SLC | -10.7% |
| 2010 | 397.74 million SLC | +45.2% |
| 2011 | 1,769 million SLC | +344.7% |
| 2012 | 2,154 million SLC | +21.8% |
| 2013 | 5,043 million SLC | +134.1% |
| 2014 | 5,706 million SLC | +13.1% |
| 2015 | 5,612 million SLC | -1.7% |
| 2016 | 5,806 million SLC | +3.5% |
| 2017 | 3,592 million SLC | -38.1% |
| 2018 | 2,964 million SLC | -17.5% |
| 2019 | 2,151 million SLC | -27.4% |
| 2020 | 2,217 million SLC | +3.1% |
| 2021 | 1,785 million SLC | -19.5% |
| 2022 | 1,116 million SLC | -37.4% |
| 2023 | 1,411 million SLC | +26.4% |
| 2024 | 1,393 million SLC | -1.3% |
Singapore compared with similar countries
- Singapore's 1,393 million SLC is below the median for high income countries, which is 2,368 million SLC, 59% of the median. (36 countries reporting)
- Singapore's 1,393 million SLC is below the median for East Asia & Pacific, which is 80,494 million SLC, 2% of the median. (11 countries reporting)
Biggest year-on-year movements
Years where Credit to Agriculture, Forestry and Fishing — Value Standard Local in Singapore changed far more than this series normally does. A large move can be a real event or a change in how the figure was measured — the source note below says who published it.
| Year | Change | From | To |
|---|---|---|---|
| 2011 | +344.7% | 397.74 million SLC | 1,769 million SLC |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1990s | 174.8 million SLC | 112.99 million SLC | 261.21 million SLC | 9 |
| 2000s | 269.45 million SLC | 134.25 million SLC | 372.94 million SLC | 10 |
| 2010s | 3,519 million SLC | 397.74 million SLC | 5,806 million SLC | 10 |
| 2020s | 1,584 million SLC | 1,116 million SLC | 2,217 million SLC | 5 |
Countries ranked near Singapore
More environment data for Singapore
- Historical exposure to drought — Land soil moisture anomaly -1.71 Percentage change (2025)
- Historical exposure to drought — Cropland soil moisture anomaly -0.9965 Percentage change (2025)
- Standard Deviation, annual growth rate 42.94 % change on previous year (1990)
- Standard Deviation 0.253 °C (1990)
- Temperature change 0.647 °C (1990)
- Cropland — Area, annual growth rate 0 % change on previous year (2024)
- Cropland — Area, per unit of GDP 0 1000 ha per US$ of GDP (2024)
- Cropland — Area, per capita 0 1000 ha per person (2024)
- Arable land — Area, annual growth rate 0 % 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 Singapore?
- Credit to agriculture, forestry and fishing — value standard local in Singapore was 1,393 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 Singapore?
- The highest recorded value was 5,806 million SLC in 2016.
- What is the lowest credit to agriculture, forestry and fishing — value standard local recorded in Singapore?
- The lowest recorded value was 112.99 million SLC in 1992.
- How does Singapore rank for credit to agriculture, forestry and fishing — value standard local?
- Singapore ranks 77th out of 118 countries with data for 2024.
- Is credit to agriculture, forestry and fishing — value standard local rising or falling in Singapore?
- Over the last ten years it is down 75.6%. The long-run trend across the full record is volatile.
- Where does this Singapore 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
CSV · JSON — 34 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.