Value Added (Agriculture, Forestry and Fishing) — Value US$, 2015 in Paraguay
Paraguay: Value Added (Agriculture, Forestry and Fishing) — Value US$, 2015 was 3,526 million USD in 2024. ◆ Volatile
Value Added (Agriculture, Forestry and Fishing) — Value US$, 2015 in Paraguay, 1970–2024
Source: Food and Agriculture Organization of the United Nations. Measured in million USD.
Analysis
Paraguay recorded 3,526 million USD for value added (agriculture, forestry and fishing) — value us$, 2015 in 2024.
The figure is up 3.9% on the previous year and up 1.7% over ten years.
Over the whole period, value added (agriculture, forestry and fishing) — value us$, 2015 in Paraguay peaked at 3,908 million USD in 2020 and was at its lowest, 426.14 million USD, in 1970.
That places Paraguay 86th out of 200 countries with data for 2024, putting it in the middle of the range.
The series is highly variable year to year, so single readings are best treated with caution.
Value Added (Agriculture, Forestry and Fishing) — Value US$, 2015 in Paraguay, year by year
| Year | million USD | Change |
|---|---|---|
| 1970 | 426.14 million USD | — |
| 1971 | 452.72 million USD | +6.2% |
| 1972 | 477.81 million USD | +5.5% |
| 1973 | 506.65 million USD | +6.0% |
| 1974 | 554.1 million USD | +9.4% |
| 1975 | 607.85 million USD | +9.7% |
| 1976 | 631.54 million USD | +3.9% |
| 1977 | 673.32 million USD | +6.6% |
| 1978 | 707.24 million USD | +5.0% |
| 1979 | 754.14 million USD | +6.6% |
| 1980 | 818.28 million USD | +8.5% |
| 1981 | 900.58 million USD | +10.1% |
| 1982 | 904.23 million USD | +0.4% |
| 1983 | 882.15 million USD | -2.4% |
| 1984 | 934.32 million USD | +5.9% |
| 1985 | 977.25 million USD | +4.6% |
| 1986 | 917.61 million USD | -6.1% |
| 1987 | 981.9 million USD | +7.0% |
| 1988 | 1,100 million USD | +12.1% |
| 1989 | 1,185 million USD | +7.7% |
| 1990 | 1,211 million USD | +2.2% |
| 1991 | 1,204 million USD | -0.6% |
| 1992 | 1,205 million USD | +0.1% |
| 1993 | 1,272 million USD | +5.6% |
| 1994 | 1,265 million USD | -0.6% |
| 1995 | 1,414 million USD | +11.8% |
| 1996 | 1,396 million USD | -1.3% |
| 1997 | 1,492 million USD | +6.9% |
| 1998 | 1,510 million USD | +1.2% |
| 1999 | 1,528 million USD | +1.2% |
| 2000 | 1,422 million USD | -7.0% |
| 2001 | 1,588 million USD | +11.6% |
| 2002 | 1,654 million USD | +4.2% |
| 2003 | 1,786 million USD | +8.0% |
| 2004 | 1,856 million USD | +3.9% |
| 2005 | 1,854 million USD | -0.1% |
| 2006 | 1,921 million USD | +3.6% |
| 2007 | 2,196 million USD | +14.3% |
| 2008 | 2,427 million USD | +10.5% |
| 2009 | 2,143 million USD | -11.7% |
| 2010 | 3,038 million USD | +41.8% |
| 2011 | 3,211 million USD | +5.7% |
| 2012 | 2,255 million USD | -29.8% |
| 2013 | 3,236 million USD | +43.5% |
| 2014 | 3,468 million USD | +7.2% |
| 2015 | 3,419 million USD | -1.4% |
| 2016 | 3,511 million USD | +2.7% |
| 2017 | 3,684 million USD | +4.9% |
| 2018 | 3,765 million USD | +2.2% |
| 2019 | 3,637 million USD | -3.4% |
| 2020 | 3,908 million USD | +7.4% |
| 2021 | 3,428 million USD | -12.3% |
| 2022 | 3,130 million USD | -8.7% |
| 2023 | 3,394 million USD | +8.4% |
| 2024 | 3,526 million USD | +3.9% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1970s | 579.15 million USD | 426.14 million USD | 754.14 million USD | 10 |
| 1980s | 960.16 million USD | 818.28 million USD | 1,185 million USD | 10 |
| 1990s | 1,350 million USD | 1,204 million USD | 1,528 million USD | 10 |
| 2000s | 1,885 million USD | 1,422 million USD | 2,427 million USD | 10 |
| 2010s | 3,322 million USD | 2,255 million USD | 3,765 million USD | 10 |
| 2020s | 3,477 million USD | 3,130 million USD | 3,908 million USD | 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)
- Printing and writing papers — Import quantity, annual growth rate 30.51 % change on previous year (2024)
- Printing and writing papers — Import quantity, per capita 0.007 t per person (2024)
- Printing and writing papers — Import value, annual growth rate 22.78 % change on previous year (2024)
- Printing and writing papers — Import value, per capita 0.0081 1000 USD per person (2024)
- Other paper and paperboard — Import quantity, annual growth rate 18.8 % change on previous year (2024)
Frequently asked questions
- What is value added (agriculture, forestry and fishing) — value us$, 2015 in Paraguay?
- Value added (agriculture, forestry and fishing) — value us$, 2015 in Paraguay was 3,526 million USD in 2024, according to Food and Agriculture Organization of the United Nations.
- What is the highest value added (agriculture, forestry and fishing) — value us$, 2015 recorded in Paraguay?
- The highest recorded value was 3,908 million USD in 2020.
- What is the lowest value added (agriculture, forestry and fishing) — value us$, 2015 recorded in Paraguay?
- The lowest recorded value was 426.14 million USD in 1970.
- How does Paraguay rank for value added (agriculture, forestry and fishing) — value us$, 2015?
- Paraguay ranks 86th out of 200 countries with data for 2024.
- Is value added (agriculture, forestry and fishing) — value us$, 2015 rising or falling in Paraguay?
- Over the last ten years it is up 1.7%. 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 US$, 2015 prices. 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).