Value Added (Agriculture, Forestry and Fishing) — Value Standard in Paraguay
Paraguay: Value Added (Agriculture, Forestry and Fishing) — Value Standard was 34.94 million million SLC in 2024. ◆ Volatile
Value Added (Agriculture, Forestry and Fishing) — Value Standard in Paraguay, 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 Paraguay stood at 34.94 million million SLC.
That represents a change of down 1.1% on the previous year and up 64.8% over ten years.
Over the whole period, value added (agriculture, forestry and fishing) — value standard in Paraguay peaked at 35.33 million million SLC in 2023 and was at its lowest, 15,095 million SLC, in 1970.
That places Paraguay 11th out of 199 countries with data for 2024, putting it in the top 10%.
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 Paraguay, year by year
| Year | million SLC | Change |
|---|---|---|
| 1970 | 15,095 million SLC | — |
| 1971 | 17,467 million SLC | +15.7% |
| 1972 | 20,983 million SLC | +20.1% |
| 1973 | 29,715 million SLC | +41.6% |
| 1974 | 37,263 million SLC | +25.4% |
| 1975 | 44,161 million SLC | +18.5% |
| 1976 | 46,472 million SLC | +5.2% |
| 1977 | 56,502 million SLC | +21.6% |
| 1978 | 64,988 million SLC | +15.0% |
| 1979 | 84,926 million SLC | +30.7% |
| 1980 | 103,760 million SLC | +22.2% |
| 1981 | 123,644 million SLC | +19.2% |
| 1982 | 119,787 million SLC | -3.1% |
| 1983 | 132,963 million SLC | +11.0% |
| 1984 | 192,967 million SLC | +45.1% |
| 1985 | 253,379 million SLC | +31.3% |
| 1986 | 313,486 million SLC | +23.7% |
| 1987 | 428,477 million SLC | +36.7% |
| 1988 | 617,813 million SLC | +44.2% |
| 1989 | 855,653 million SLC | +38.5% |
| 1990 | 1.13 million million SLC | +32.1% |
| 1991 | 1.38 million million SLC | +22.3% |
| 1992 | 1.49 million million SLC | +7.7% |
| 1993 | 1.85 million million SLC | +24.1% |
| 1994 | 2.23 million million SLC | +20.8% |
| 1995 | 2.69 million million SLC | +20.5% |
| 1996 | 3.03 million million SLC | +12.7% |
| 1997 | 2.92 million million SLC | -3.6% |
| 1998 | 3.11 million million SLC | +6.5% |
| 1999 | 3.28 million million SLC | +5.3% |
| 2000 | 3.44 million million SLC | +4.9% |
| 2001 | 3.53 million million SLC | +2.7% |
| 2002 | 4.14 million million SLC | +17.4% |
| 2003 | 5.90 million million SLC | +42.4% |
| 2004 | 7.38 million million SLC | +25.1% |
| 2005 | 8.00 million million SLC | +8.3% |
| 2006 | 8.65 million million SLC | +8.2% |
| 2007 | 11.09 million million SLC | +28.2% |
| 2008 | 14.41 million million SLC | +29.9% |
| 2009 | 11.05 million million SLC | -23.4% |
| 2010 | 16.80 million million SLC | +52.1% |
| 2011 | 19.52 million million SLC | +16.2% |
| 2012 | 14.78 million million SLC | -24.3% |
| 2013 | 21.40 million million SLC | +44.7% |
| 2014 | 21.21 million million SLC | -0.9% |
| 2015 | 17.79 million million SLC | -16.1% |
| 2016 | 21.89 million million SLC | +23.0% |
| 2017 | 22.32 million million SLC | +2.0% |
| 2018 | 22.94 million million SLC | +2.8% |
| 2019 | 22.88 million million SLC | -0.3% |
| 2020 | 25.74 million million SLC | +12.5% |
| 2021 | 30.52 million million SLC | +18.6% |
| 2022 | 31.92 million million SLC | +4.6% |
| 2023 | 35.33 million million SLC | +10.7% |
| 2024 | 34.94 million million SLC | -1.1% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1970s | 41,757 million SLC | 15,095 million SLC | 84,926 million SLC | 10 |
| 1980s | 314,193 million SLC | 103,760 million SLC | 855,653 million SLC | 10 |
| 1990s | 2.31 million million SLC | 1.13 million million SLC | 3.28 million million SLC | 10 |
| 2000s | 7.76 million million SLC | 3.44 million million SLC | 14.41 million million SLC | 10 |
| 2010s | 20.15 million million SLC | 14.78 million million SLC | 22.94 million million SLC | 10 |
| 2020s | 31.69 million million SLC | 25.74 million million SLC | 35.33 million million SLC | 5 |
Countries ranked near Paraguay
More environment data for Paraguay
- Historical exposure to drought — Land soil moisture anomaly -8.73 Percentage change (2025)
- Historical exposure to drought — Cropland soil moisture anomaly -7.6 Percentage change (2025)
- Standard Deviation, annual growth rate 0 % change on previous year (2025)
- Standard Deviation 0.45 °C (2025)
- Temperature change 0.698 °C (2025)
- Paper and paperboard — Import quantity, annual growth rate 22.7 % change on previous year (2024)
- Paper and paperboard — Import quantity, per unit of GDP 0 t per US$ of GDP (2024)
- Paper and paperboard — Import quantity, per capita 0.0196 t per person (2024)
- Paper and paperboard — Import value, annual growth rate 10.43 % change on previous year (2024)
- Paper and paperboard — 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 Paraguay?
- Value added (agriculture, forestry and fishing) — value standard in Paraguay was 34.94 million 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 Paraguay?
- The highest recorded value was 35.33 million million SLC in 2023.
- What is the lowest value added (agriculture, forestry and fishing) — value standard recorded in Paraguay?
- The lowest recorded value was 15,095 million SLC in 1970.
- How does Paraguay rank for value added (agriculture, forestry and fishing) — value standard?
- Paraguay ranks 11th out of 199 countries with data for 2024.
- Is value added (agriculture, forestry and fishing) — value standard rising or falling in Paraguay?
- Over the last ten years it is up 64.8%. The long-run trend across the full record is volatile.
- Where does this Paraguay 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
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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).