Value Added (Agriculture, Forestry and Fishing) — Value Standard in Ecuador
Ecuador: Value Added (Agriculture, Forestry and Fishing) — Value Standard was 10,398 million SLC in 2024. ◆ Volatile
Value Added (Agriculture, Forestry and Fishing) — Value Standard in Ecuador, 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 Ecuador is 10,398 million SLC, measured in 2024. That is the highest value across all 55 years on record.
Compared with earlier readings it is up 2.5% on the previous year and up 38.7% over ten years.
Over the whole period, value added (agriculture, forestry and fishing) — value standard in Ecuador peaked at 10,398 million SLC in 2024 and was at its lowest, 1,594 million SLC, in 1983.
That places Ecuador 110th out of 191 countries with data for 2024, putting it in the middle of the range.
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 Ecuador, year by year
| Year | million SLC | Change |
|---|---|---|
| 1970 | 1,617 million SLC | — |
| 1971 | 1,604 million SLC | -0.8% |
| 1972 | 1,683 million SLC | +4.9% |
| 1973 | 1,662 million SLC | -1.2% |
| 1974 | 1,776 million SLC | +6.8% |
| 1975 | 1,853 million SLC | +4.4% |
| 1976 | 1,817 million SLC | -1.9% |
| 1977 | 1,871 million SLC | +3.0% |
| 1978 | 1,687 million SLC | -9.8% |
| 1979 | 1,715 million SLC | +1.6% |
| 1980 | 1,703 million SLC | -0.7% |
| 1981 | 1,917 million SLC | +12.5% |
| 1982 | 1,943 million SLC | +1.4% |
| 1983 | 1,594 million SLC | -18.0% |
| 1984 | 1,815 million SLC | +13.9% |
| 1985 | 2,007 million SLC | +10.6% |
| 1986 | 2,210 million SLC | +10.1% |
| 1987 | 2,272 million SLC | +2.8% |
| 1988 | 2,371 million SLC | +4.3% |
| 1989 | 2,547 million SLC | +7.5% |
| 1990 | 2,769 million SLC | +8.7% |
| 1991 | 3,032 million SLC | +9.5% |
| 1992 | 3,120 million SLC | +2.9% |
| 1993 | 3,079 million SLC | -1.3% |
| 1994 | 3,253 million SLC | +5.6% |
| 1995 | 3,374 million SLC | +3.7% |
| 1996 | 3,604 million SLC | +6.8% |
| 1997 | 3,831 million SLC | +6.3% |
| 1998 | 3,673 million SLC | -4.1% |
| 1999 | 4,123 million SLC | +12.3% |
| 2000 | 4,092 million SLC | -0.8% |
| 2001 | 4,204 million SLC | +2.8% |
| 2002 | 4,380 million SLC | +4.2% |
| 2003 | 4,694 million SLC | +7.2% |
| 2004 | 4,782 million SLC | +1.9% |
| 2005 | 5,093 million SLC | +6.5% |
| 2006 | 5,299 million SLC | +4.0% |
| 2007 | 5,481 million SLC | +3.4% |
| 2008 | 5,640 million SLC | +2.9% |
| 2009 | 5,845 million SLC | +3.6% |
| 2010 | 5,798 million SLC | -0.8% |
| 2011 | 6,336 million SLC | +9.3% |
| 2012 | 6,346 million SLC | +0.2% |
| 2013 | 6,891 million SLC | +8.6% |
| 2014 | 7,497 million SLC | +8.8% |
| 2015 | 7,797 million SLC | +4.0% |
| 2016 | 7,919 million SLC | +1.6% |
| 2017 | 8,515 million SLC | +7.5% |
| 2018 | 8,602 million SLC | +1.0% |
| 2019 | 8,800 million SLC | +2.3% |
| 2020 | 8,795 million SLC | -0.1% |
| 2021 | 9,537 million SLC | +8.4% |
| 2022 | 9,733 million SLC | +2.1% |
| 2023 | 10,142 million SLC | +4.2% |
| 2024 | 10,398 million SLC | +2.5% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1970s | 1,728 million SLC | 1,604 million SLC | 1,871 million SLC | 10 |
| 1980s | 2,038 million SLC | 1,594 million SLC | 2,547 million SLC | 10 |
| 1990s | 3,386 million SLC | 2,769 million SLC | 4,123 million SLC | 10 |
| 2000s | 4,951 million SLC | 4,092 million SLC | 5,845 million SLC | 10 |
| 2010s | 7,450 million SLC | 5,798 million SLC | 8,800 million SLC | 10 |
| 2020s | 9,721 million SLC | 8,795 million SLC | 10,398 million SLC | 5 |
Countries ranked near Ecuador
More environment data for Ecuador
- Historical exposure to drought — Land soil moisture anomaly 0.3767 Percentage change (2025)
- Historical exposure to drought — Cropland soil moisture anomaly -1.05 Percentage change (2025)
- Standard Deviation, annual growth rate 0 % change on previous year (2025)
- Standard Deviation 0.4 °C (2025)
- Temperature change 1.49 °C (2025)
- Plywood and LVL — Import quantity, annual growth rate 351.15 % change on previous year (2024)
- Plywood and LVL — Import quantity, per unit of GDP 0 m3 per US$ of GDP (2024)
- Plywood and LVL — Import quantity, per capita 0.0002 m3 per person (2024)
- Plywood and LVL — Import value, annual growth rate 28.42 % change on previous year (2024)
- Plywood and LVL — Import value, per unit of GDP 0 1000 USD per US$ of GDP (2024)
Frequently asked questions
- What is value added (agriculture, forestry and fishing) — value standard in Ecuador?
- Value added (agriculture, forestry and fishing) — value standard in Ecuador was 10,398 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 Ecuador?
- The highest recorded value was 10,398 million SLC in 2024.
- What is the lowest value added (agriculture, forestry and fishing) — value standard recorded in Ecuador?
- The lowest recorded value was 1,594 million SLC in 1983.
- How does Ecuador rank for value added (agriculture, forestry and fishing) — value standard?
- Ecuador ranks 110th out of 191 countries with data for 2024.
- Is value added (agriculture, forestry and fishing) — value standard rising or falling in Ecuador?
- Over the last ten years it is up 38.7%. The long-run trend across the full record is volatile.
- Where does this Ecuador 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, 2015 prices. Statizoid updates them automatically from the source API.
Download this data
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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).