Value Added (Agriculture, Forestry and Fishing) — Value Standard in Brunei Darussalam
Brunei Darussalam: Value Added (Agriculture, Forestry and Fishing) — Value Standard was 248.28 million SLC in 2024. ◆ Volatile
Value Added (Agriculture, Forestry and Fishing) — Value Standard in Brunei Darussalam, 1970–2024
Source: Food and Agriculture Organization of the United Nations. Measured in million SLC.
Analysis
The most recent figure for value added (agriculture, forestry and fishing) — value standard in Brunei Darussalam is 248.28 million SLC, measured in 2024.
Compared with earlier readings it is up 2.3% on the previous year and up 32.8% over ten years.
Over the whole period, value added (agriculture, forestry and fishing) — value standard in Brunei Darussalam peaked at 252.15 million SLC in 2022 and was at its lowest, 2.83 million SLC, in 1970.
Brunei Darussalam ranks 169th of 199 countries on this measure, in the bottom quarter.
The series is highly variable year to year, so single readings are best treated with caution.
Value Added (Agriculture, Forestry and Fishing) — Value Standard in Brunei Darussalam, year by year
| Year | million SLC | Change |
|---|---|---|
| 1970 | 2.83 million SLC | — |
| 1971 | 3.15 million SLC | +11.3% |
| 1972 | 4.02 million SLC | +27.4% |
| 1973 | 5.34 million SLC | +32.9% |
| 1974 | 14.85 million SLC | +178.2% |
| 1975 | 15.78 million SLC | +6.2% |
| 1976 | 16.28 million SLC | +3.2% |
| 1977 | 18.1 million SLC | +11.1% |
| 1978 | 20.04 million SLC | +10.7% |
| 1979 | 23.25 million SLC | +16.0% |
| 1980 | 28.39 million SLC | +22.1% |
| 1981 | 27.13 million SLC | -4.5% |
| 1982 | 32.57 million SLC | +20.1% |
| 1983 | 33.58 million SLC | +3.1% |
| 1984 | 36.15 million SLC | +7.7% |
| 1985 | 39.78 million SLC | +10.0% |
| 1986 | 37.05 million SLC | -6.9% |
| 1987 | 48.94 million SLC | +32.1% |
| 1988 | 54.85 million SLC | +12.1% |
| 1989 | 59.86 million SLC | +9.1% |
| 1990 | 65.91 million SLC | +10.1% |
| 1991 | 69.88 million SLC | +6.0% |
| 1992 | 70.33 million SLC | +0.6% |
| 1993 | 76.41 million SLC | +8.7% |
| 1994 | 80.01 million SLC | +4.7% |
| 1995 | 83.33 million SLC | +4.1% |
| 1996 | 86.53 million SLC | +3.8% |
| 1997 | 101.57 million SLC | +17.4% |
| 1998 | 102.64 million SLC | +1.1% |
| 1999 | 102.64 million SLC | +0.0% |
| 2000 | 113.31 million SLC | +10.4% |
| 2001 | 121.73 million SLC | +7.4% |
| 2002 | 122.31 million SLC | +0.5% |
| 2003 | 149.25 million SLC | +22.0% |
| 2004 | 160.37 million SLC | +7.4% |
| 2005 | 160.58 million SLC | +0.1% |
| 2006 | 137.62 million SLC | -14.3% |
| 2007 | 136.07 million SLC | -1.1% |
| 2008 | 138.99 million SLC | +2.1% |
| 2009 | 151.71 million SLC | +9.2% |
| 2010 | 137.06 million SLC | -9.7% |
| 2011 | 133.47 million SLC | -2.6% |
| 2012 | 155.94 million SLC | +16.8% |
| 2013 | 155.06 million SLC | -0.6% |
| 2014 | 186.92 million SLC | +20.5% |
| 2015 | 196.13 million SLC | +4.9% |
| 2016 | 189.55 million SLC | -3.4% |
| 2017 | 181.96 million SLC | -4.0% |
| 2018 | 186.24 million SLC | +2.4% |
| 2019 | 181.19 million SLC | -2.7% |
| 2020 | 201.67 million SLC | +11.3% |
| 2021 | 236.46 million SLC | +17.2% |
| 2022 | 252.15 million SLC | +6.6% |
| 2023 | 242.79 million SLC | -3.7% |
| 2024 | 248.28 million SLC | +2.3% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1970s | 12.36 million SLC | 2.83 million SLC | 23.25 million SLC | 10 |
| 1980s | 39.83 million SLC | 27.13 million SLC | 59.86 million SLC | 10 |
| 1990s | 83.92 million SLC | 65.91 million SLC | 102.64 million SLC | 10 |
| 2000s | 139.19 million SLC | 113.31 million SLC | 160.58 million SLC | 10 |
| 2010s | 170.35 million SLC | 133.47 million SLC | 196.13 million SLC | 10 |
| 2020s | 236.27 million SLC | 201.67 million SLC | 252.15 million SLC | 5 |
Countries ranked near Brunei Darussalam
More environment data for Brunei Darussalam
- Historical exposure to drought — Cropland soil moisture anomaly -1.07 Percentage change (2025)
- Standard Deviation, annual growth rate 0 % change on previous year (2025)
- Historical exposure to drought — Land soil moisture anomaly -2.26 Percentage change (2025)
- Temperature change 1.29 °C (2025)
- Standard Deviation 0.202 °C (2025)
- Nutrient nitrogen N (total) — Use per area of cropland 20.42 kg/ha (2024)
- Nutrient phosphate P2O5 (total) — Use per area of cropland 19.5 kg/ha (2024)
- Nutrient phosphate P2O5 (total) — Agricultural Use 232 t (2024)
- Nutrient phosphate P2O5 (total) — Import quantity 2,313 t (2024)
- Nutrient nitrogen N (total) — Use per value of agricultural production 3.02 g/Int$ (2024)
Frequently asked questions
- What is value added (agriculture, forestry and fishing) — value standard in Brunei Darussalam?
- Value added (agriculture, forestry and fishing) — value standard in Brunei Darussalam was 248.28 million SLC in 2024, according to Food and Agriculture Organization of the United Nations.
- What is the highest value added (agriculture, forestry and fishing) — value standard recorded in Brunei Darussalam?
- The highest recorded value was 252.15 million SLC in 2022.
- What is the lowest value added (agriculture, forestry and fishing) — value standard recorded in Brunei Darussalam?
- The lowest recorded value was 2.83 million SLC in 1970.
- How does Brunei Darussalam rank for value added (agriculture, forestry and fishing) — value standard?
- Brunei Darussalam ranks 169th out of 199 countries with data for 2024.
- Is value added (agriculture, forestry and fishing) — value standard rising or falling in Brunei Darussalam?
- Over the last ten years it is up 32.8%. The long-run trend across the full record is volatile.
- Where does this Brunei Darussalam data come from?
- The figures come from Food and Agriculture Organization of the United Nations, published as part of Value Added (Agriculture, Forestry and Fishing) — Value Standard Local Currency. Statizoid updates them automatically from the source API.
Download this data
CSV · JSON — 55 observations, free to reuse under CC BY-NC-SA 3.0 IGO (FAO).
About this data
The FAOSTAT Macro Indicators database provides a selection of country-level macro indicators relating to total economy (Gross Domestic Product, Gross Fixed Capital Formation); agriculture activity; agriculture, forestry and fishing activity; total manufacturing activity; manufacturing of food products and beverages activity; manufacturing activity of tobacco products; and manufacturing activity of food, beverage and tobacco products.It releases time series for a selection of National Accounts variables, including gross domestic product, gross fixed capital formation, industry-level value added and gross output. The database also proposes additional indicators such as gross domestic product per capita, year-on-year growth rates and measures of industry contribution to gross domestic product. All data relating to Gross Domestic Product, Gross Fixed Capital Formation, agriculture, forestry and fishing activity, and to total manufacturing activity originates from the United Nations Statistics Division (UNSD) National Accounts Estimates of Main Aggregates database, which consists of a complete and consistent set of time series of the main National Accounts aggregates of all UN Members States and other territories in the world for which National Accounts information is available. The UNSD database's content is based on the countries' official National Accounts data reported to UNSD through the annual National Accounts Questionnaire, supplemented with data estimates for any years and countries with incomplete or inconsistent information (See http://unstats.un.org/unsd/snaama/Introduction.asp). Data series relating to the sub-industry Agriculture activity are obtained from the UNSD national accounts Official Country Data databases while series on the Manufacturing activity of food and beverages products, manufacturing activity of tobacco products and manufacturing activity of food, beverages and tobacco products originates from the United Nations Industrial Development Organization (UNIDO) INDSTAT2 database. In order to ensure that sub-industry series are consistent in levels with National Accounts based series, which is needed to support comparability across industries (agriculture vs. agro-industry and sub-industries), UNIDO originating series are rescaled on UNSD National Accounts Estimates of Main Aggregates data series (See Section 17.5 for a more detailed description of the data processing steps).