Value Added (Agriculture, Forestry and Fishing) β Value US$ in Singapore
Singapore: Value Added (Agriculture, Forestry and Fishing) β Value US$ was 150.12 million USD in 2024. βΌ Falling
Value Added (Agriculture, Forestry and Fishing) β Value US$ in Singapore, 1970β2024
Source: Food and Agriculture Organization of the United Nations. Measured in million USD.
Analysis
Singapore recorded 150.12 million USD for value added (agriculture, forestry and fishing) β value us$ in 2024.
The figure is up 3.0% on the previous year and up 38.0% over ten years.
Over the whole period, value added (agriculture, forestry and fishing) β value us$ in Singapore peaked at 213.31 million USD in 1982 and was at its lowest, 49.26 million USD, in 1970.
That places Singapore 166th out of 197 countries with data for 2024, putting it in the bottom quarter.
The long-run direction has been consistently falling across the 55 years of available data.
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1970s | 104.32 million USD | 49.26 million USD | 150.6 million USD | 10 |
| 1980s | 167.49 million USD | 110.71 million USD | 213.31 million USD | 10 |
| 1990s | 117.09 million USD | 95.48 million USD | 144.46 million USD | 10 |
| 2000s | 73.17 million USD | 59.7 million USD | 88.52 million USD | 10 |
| 2010s | 103.79 million USD | 86.69 million USD | 121.32 million USD | 10 |
| 2020s | 135.21 million USD | 114.59 million USD | 150.12 million USD | 5 |
Countries ranked near Singapore
- 163 Brunei Darussalam 185.83 million USD compare
- 164 Luxembourg 170.23 million USD compare
- 165 French Polynesia 169.43 million USD compare
- 167 Lesotho, Kingdom of 147.64 million USD compare
- 168 Bahrain, Kingdom of 132.88 million USD compare
- 169 Samoa 131.29 million USD compare
More environment data for Singapore
- Standard Deviation, annual growth rate 42.94 % change on previous year (1990)
- Standard Deviation 0.253 Β°C (1990)
- Temperature change 0.647 Β°C (1990)
- Recovered paper β Production 402,000 t (2024)
- Total fibre furnish β Production 402,000 t (2024)
- Other paper and paperboard, not elsewhere specified β Import value 20,438 1000 USD (2024)
- Other paper and paperboard, not elsewhere specified β Import quantity 5,992 t (2024)
- Other paper and paperboard β Export value 353,738 1000 USD (2024)
- Other paper and paperboard β Export quantity 328,460 t (2024)
- Other paper and paperboard β Import value 215,071 1000 USD (2024)
Frequently asked questions
- What is value added (agriculture, forestry and fishing) β value us$ in Singapore?
- Value added (agriculture, forestry and fishing) β value us$ in Singapore was 150.12 million USD in 2024, according to Food and Agriculture Organization of the United Nations.
- What is the highest value added (agriculture, forestry and fishing) β value us$ recorded in Singapore?
- The highest recorded value was 213.31 million USD in 1982.
- What is the lowest value added (agriculture, forestry and fishing) β value us$ recorded in Singapore?
- The lowest recorded value was 49.26 million USD in 1970.
- How does Singapore rank for value added (agriculture, forestry and fishing) β value us$?
- Singapore ranks 166th out of 197 countries with data for 2024.
- Is value added (agriculture, forestry and fishing) β value us$ rising or falling in Singapore?
- Over the last ten years it is up 38.0%. The long-run trend across the full record is falling.
- Where does this Singapore 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) β Value US$. Statizoid updates them automatically from the source API.
Download this data
CSV Β· JSON β 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).