Value Added (Agriculture, Forestry and Fishing) — Value Standard in Ecuador
Ecuador: Value Added (Agriculture, Forestry and Fishing) — Value Standard was 11,129 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
In 2024, value added (agriculture, forestry and fishing) — value standard in Ecuador stood at 11,129 million SLC. That is the highest value across all 55 years on record.
Compared with earlier readings it is up 22.0% on the previous year and up 46.3% over ten years.
Over the whole period, value added (agriculture, forestry and fishing) — value standard in Ecuador peaked at 11,129 million SLC in 2024 and was at its lowest, 584.67 million SLC, in 1971.
That places Ecuador 121st out of 199 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 | 612.64 million SLC | — |
| 1971 | 584.67 million SLC | -4.6% |
| 1972 | 657.98 million SLC | +12.5% |
| 1973 | 751.76 million SLC | +14.3% |
| 1974 | 1,179 million SLC | +56.8% |
| 1975 | 1,282 million SLC | +8.7% |
| 1976 | 1,363 million SLC | +6.3% |
| 1977 | 1,590 million SLC | +16.6% |
| 1978 | 1,701 million SLC | +7.0% |
| 1979 | 1,834 million SLC | +7.8% |
| 1980 | 2,296 million SLC | +25.2% |
| 1981 | 2,731 million SLC | +18.9% |
| 1982 | 2,607 million SLC | -4.5% |
| 1983 | 2,353 million SLC | -9.8% |
| 1984 | 2,535 million SLC | +7.7% |
| 1985 | 2,651 million SLC | +4.6% |
| 1986 | 2,484 million SLC | -6.3% |
| 1987 | 2,287 million SLC | -7.9% |
| 1988 | 2,113 million SLC | -7.6% |
| 1989 | 2,376 million SLC | +12.5% |
| 1990 | 2,463 million SLC | +3.6% |
| 1991 | 2,851 million SLC | +15.8% |
| 1992 | 2,762 million SLC | -3.1% |
| 1993 | 3,749 million SLC | +35.7% |
| 1994 | 4,232 million SLC | +12.9% |
| 1995 | 4,561 million SLC | +7.8% |
| 1996 | 4,347 million SLC | -4.7% |
| 1997 | 4,684 million SLC | +7.8% |
| 1998 | 4,070 million SLC | -13.1% |
| 1999 | 2,745 million SLC | -32.6% |
| 2000 | 2,174 million SLC | -20.8% |
| 2001 | 2,421 million SLC | +11.4% |
| 2002 | 2,552 million SLC | +5.4% |
| 2003 | 2,802 million SLC | +9.8% |
| 2004 | 2,805 million SLC | +0.1% |
| 2005 | 3,112 million SLC | +11.0% |
| 2006 | 3,527 million SLC | +13.3% |
| 2007 | 3,813 million SLC | +8.1% |
| 2008 | 4,493 million SLC | +17.9% |
| 2009 | 5,176 million SLC | +15.2% |
| 2010 | 5,677 million SLC | +9.7% |
| 2011 | 6,247 million SLC | +10.0% |
| 2012 | 6,141 million SLC | -1.7% |
| 2013 | 6,724 million SLC | +9.5% |
| 2014 | 7,606 million SLC | +13.1% |
| 2015 | 7,797 million SLC | +2.5% |
| 2016 | 7,884 million SLC | +1.1% |
| 2017 | 8,255 million SLC | +4.7% |
| 2018 | 8,217 million SLC | -0.5% |
| 2019 | 8,378 million SLC | +2.0% |
| 2020 | 8,039 million SLC | -4.0% |
| 2021 | 8,592 million SLC | +6.9% |
| 2022 | 8,367 million SLC | -2.6% |
| 2023 | 9,124 million SLC | +9.1% |
| 2024 | 11,129 million SLC | +22.0% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1970s | 1,155 million SLC | 584.67 million SLC | 1,834 million SLC | 10 |
| 1980s | 2,443 million SLC | 2,113 million SLC | 2,731 million SLC | 10 |
| 1990s | 3,646 million SLC | 2,463 million SLC | 4,684 million SLC | 10 |
| 2000s | 3,288 million SLC | 2,174 million SLC | 5,176 million SLC | 10 |
| 2010s | 7,293 million SLC | 5,677 million SLC | 8,378 million SLC | 10 |
| 2020s | 9,050 million SLC | 8,039 million SLC | 11,129 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)
- Other paper and paperboard — Import quantity, annual growth rate 11.62 % change on previous year (2024)
- Other paper and paperboard — Import quantity, per capita 0.0089 t per person (2024)
- Other paper and paperboard — Import value, annual growth rate -9.76 % change on previous year (2024)
- Other paper and paperboard — Import value, per capita 0.0098 1000 USD per person (2024)
- Other paper and paperboard, not elsewhere specified — Import 337.84 % change on previous year (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 11,129 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 11,129 million SLC in 2024.
- What is the lowest value added (agriculture, forestry and fishing) — value standard recorded in Ecuador?
- The lowest recorded value was 584.67 million SLC in 1971.
- How does Ecuador rank for value added (agriculture, forestry and fishing) — value standard?
- Ecuador ranks 121st out of 199 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 46.3%. 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. 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).