Value Added (Agriculture, Forestry and Fishing) β Value US$ in Saint Lucia
Saint Lucia: Value Added (Agriculture, Forestry and Fishing) β Value US$ was 28.8 million USD in 2024. β² Rising
Value Added (Agriculture, Forestry and Fishing) β Value US$ in Saint Lucia, 1970β2024
Source: Food and Agriculture Organization of the United Nations. Measured in million USD.
Analysis
Saint Lucia recorded 28.8 million USD for value added (agriculture, forestry and fishing) β value us$ in 2024.
Compared with earlier readings it is up 5.3% on the previous year and down 25.7% over ten years.
Over the whole period, value added (agriculture, forestry and fishing) β value us$ in Saint Lucia peaked at 61.68 million USD in 1992 and was at its lowest, 4.29 million USD, in 1970.
Saint Lucia ranks 184th of 197 countries on this measure, in the bottom quarter.
The long-run direction has been consistently rising across the 55 years of available data.
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1970s | 9.13 million USD | 4.29 million USD | 15.91 million USD | 10 |
| 1980s | 30.28 million USD | 15.64 million USD | 48.39 million USD | 10 |
| 1990s | 49.45 million USD | 38 million USD | 61.68 million USD | 10 |
| 2000s | 41.19 million USD | 32.5 million USD | 51.31 million USD | 10 |
| 2010s | 37.56 million USD | 31.21 million USD | 43.57 million USD | 10 |
| 2020s | 30.68 million USD | 27.34 million USD | 35.57 million USD | 5 |
Countries ranked near Saint Lucia
- 181 Antigua and Barbuda 41.78 million USD compare
- 182 Grenada 39.13 million USD compare
- 183 Cayman Islands 34.79 million USD compare
- 185 Netherlands Antilles (former) 24.02 million USD compare
- 186 Bermuda 20.42 million USD compare
- 187 Andorra 18.82 million USD compare
More environment data for Saint Lucia
- Standard Deviation 0.257 Β°C (2025)
- Temperature change 1.32 Β°C (2025)
- Recovered paper β Production 1,000 t (2024)
- Total fibre furnish β Production 1,000 t (2024)
- Other paper and paperboard, not elsewhere specified β Import value 38 1000 USD (2024)
- Other paper and paperboard, not elsewhere specified β Import quantity 1 t (2024)
- Other paper and paperboard β Export value 282 1000 USD (2024)
- Other paper and paperboard β Export quantity 143 t (2024)
- Other paper and paperboard β Import value 3,000 1000 USD (2024)
- Other paper and paperboard β Import quantity 3,178 t (2024)
Frequently asked questions
- What is value added (agriculture, forestry and fishing) β value us$ in Saint Lucia?
- Value added (agriculture, forestry and fishing) β value us$ in Saint Lucia was 28.8 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 Saint Lucia?
- The highest recorded value was 61.68 million USD in 1992.
- What is the lowest value added (agriculture, forestry and fishing) β value us$ recorded in Saint Lucia?
- The lowest recorded value was 4.29 million USD in 1970.
- How does Saint Lucia rank for value added (agriculture, forestry and fishing) β value us$?
- Saint Lucia ranks 184th out of 197 countries with data for 2024.
- Is value added (agriculture, forestry and fishing) β value us$ rising or falling in Saint Lucia?
- Over the last ten years it is down 25.7%. The long-run trend across the full record is rising.
- Where does this Saint Lucia 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).