Value Added (Agriculture, Forestry and Fishing) — Value US$, 2015 in Papua New Guinea
Papua New Guinea: Value Added (Agriculture, Forestry and Fishing) — Value US$, 2015 was 4,787 million USD in 2024. ▲ Rising
Value Added (Agriculture, Forestry and Fishing) — Value US$, 2015 in Papua New Guinea, 1970–2024
Source: Food and Agriculture Organization of the United Nations. Measured in million USD.
Analysis
Papua New Guinea recorded 4,787 million USD for value added (agriculture, forestry and fishing) — value us$, 2015 in 2024. That is the highest value across all 55 years on record.
That represents a change of up 3.6% on the previous year and up 22.9% over ten years.
Over the whole period, value added (agriculture, forestry and fishing) — value us$, 2015 in Papua New Guinea peaked at 4,787 million USD in 2024 and was at its lowest, 1,111 million USD, in 1970.
That places Papua New Guinea 72nd out of 200 countries with data for 2024, putting it in the middle of the range.
The long-run direction has been consistently rising across the 55 years of available data.
Value Added (Agriculture, Forestry and Fishing) — Value US$, 2015 in Papua New Guinea, year by year
| Year | million USD | Change |
|---|---|---|
| 1970 | 1,111 million USD | — |
| 1971 | 1,141 million USD | +2.7% |
| 1972 | 1,178 million USD | +3.3% |
| 1973 | 1,200 million USD | +1.8% |
| 1974 | 1,256 million USD | +4.7% |
| 1975 | 1,306 million USD | +4.0% |
| 1976 | 1,327 million USD | +1.6% |
| 1977 | 1,337 million USD | +0.7% |
| 1978 | 1,389 million USD | +4.0% |
| 1979 | 1,416 million USD | +1.9% |
| 1980 | 1,483 million USD | +4.7% |
| 1981 | 1,600 million USD | +7.9% |
| 1982 | 1,578 million USD | -1.4% |
| 1983 | 1,593 million USD | +1.0% |
| 1984 | 1,640 million USD | +3.0% |
| 1985 | 1,592 million USD | -2.9% |
| 1986 | 1,617 million USD | +1.5% |
| 1987 | 1,703 million USD | +5.3% |
| 1988 | 1,763 million USD | +3.5% |
| 1989 | 1,788 million USD | +1.4% |
| 1990 | 1,827 million USD | +2.2% |
| 1991 | 1,779 million USD | -2.6% |
| 1992 | 1,891 million USD | +6.3% |
| 1993 | 2,283 million USD | +20.7% |
| 1994 | 2,437 million USD | +6.7% |
| 1995 | 2,434 million USD | -0.1% |
| 1996 | 2,617 million USD | +7.5% |
| 1997 | 2,397 million USD | -8.4% |
| 1998 | 2,448 million USD | +2.1% |
| 1999 | 2,786 million USD | +13.8% |
| 2000 | 2,843 million USD | +2.1% |
| 2001 | 2,708 million USD | -4.7% |
| 2002 | 2,692 million USD | -0.6% |
| 2003 | 2,901 million USD | +7.7% |
| 2004 | 2,894 million USD | -0.2% |
| 2005 | 3,057 million USD | +5.6% |
| 2006 | 3,089 million USD | +1.0% |
| 2007 | 3,055 million USD | -1.1% |
| 2008 | 3,096 million USD | +1.3% |
| 2009 | 3,276 million USD | +5.8% |
| 2010 | 3,368 million USD | +2.8% |
| 2011 | 3,397 million USD | +0.9% |
| 2012 | 3,599 million USD | +6.0% |
| 2013 | 3,767 million USD | +4.7% |
| 2014 | 3,895 million USD | +3.4% |
| 2015 | 3,792 million USD | -2.6% |
| 2016 | 3,893 million USD | +2.7% |
| 2017 | 3,984 million USD | +2.4% |
| 2018 | 4,167 million USD | +4.6% |
| 2019 | 4,261 million USD | +2.3% |
| 2020 | 4,340 million USD | +1.9% |
| 2021 | 4,387 million USD | +1.1% |
| 2022 | 4,523 million USD | +3.1% |
| 2023 | 4,622 million USD | +2.2% |
| 2024 | 4,787 million USD | +3.6% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1970s | 1,266 million USD | 1,111 million USD | 1,416 million USD | 10 |
| 1980s | 1,636 million USD | 1,483 million USD | 1,788 million USD | 10 |
| 1990s | 2,290 million USD | 1,779 million USD | 2,786 million USD | 10 |
| 2000s | 2,961 million USD | 2,692 million USD | 3,276 million USD | 10 |
| 2010s | 3,812 million USD | 3,368 million USD | 4,261 million USD | 10 |
| 2020s | 4,532 million USD | 4,340 million USD | 4,787 million USD | 5 |
Countries ranked near Papua New Guinea
More environment data for Papua New Guinea
- Historical exposure to drought — Land soil moisture anomaly 1.56 Percentage change (2025)
- Historical exposure to drought — Cropland soil moisture anomaly 2.24 Percentage change (2025)
- Standard Deviation, annual growth rate 0 % change on previous year (2025)
- Standard Deviation 0.183 °C (2025)
- Temperature change 0.834 °C (2025)
- Sawnwood, non-coniferous — Export quantity, annual growth rate -8.4 % change on previous year (2024)
- Sawnwood, non-coniferous — Export quantity, per unit of GDP 0 m3 per US$ of GDP (2024)
- Sawnwood, non-coniferous — Export quantity, per capita 0.0032 m3 per person (2024)
- Sawnwood, non-coniferous — Export value, annual growth rate 5.35 % change on previous year (2024)
- Sawnwood, non-coniferous — Export 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 us$, 2015 in Papua New Guinea?
- Value added (agriculture, forestry and fishing) — value us$, 2015 in Papua New Guinea was 4,787 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$, 2015 recorded in Papua New Guinea?
- The highest recorded value was 4,787 million USD in 2024.
- What is the lowest value added (agriculture, forestry and fishing) — value us$, 2015 recorded in Papua New Guinea?
- The lowest recorded value was 1,111 million USD in 1970.
- How does Papua New Guinea rank for value added (agriculture, forestry and fishing) — value us$, 2015?
- Papua New Guinea ranks 72nd out of 200 countries with data for 2024.
- Is value added (agriculture, forestry and fishing) — value us$, 2015 rising or falling in Papua New Guinea?
- Over the last ten years it is up 22.9%. The long-run trend across the full record is rising.
- Where does this Papua New Guinea 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
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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).