Value Added (Agriculture, Forestry and Fishing) — Value Standard in Papua New Guinea
Papua New Guinea: Value Added (Agriculture, Forestry and Fishing) — Value Standard was 22,683 million SLC in 2024. ◆ Volatile
Value Added (Agriculture, Forestry and Fishing) — Value Standard in Papua New Guinea, 1970–2024
Source: Food and Agriculture Organization of the United Nations. Measured in million SLC.
Analysis
Papua New Guinea recorded 22,683 million SLC for value added (agriculture, forestry and fishing) — value standard in 2024. That is the highest value across all 55 years on record.
The figure is up 13.6% on the previous year and up 124.4% over ten years.
Over the whole period, value added (agriculture, forestry and fishing) — value standard in Papua New Guinea peaked at 22,683 million SLC in 2024 and was at its lowest, 223.51 million SLC, in 1970.
Papua New Guinea ranks 106th of 199 countries on this measure, 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 Papua New Guinea, year by year
| Year | million SLC | Change |
|---|---|---|
| 1970 | 223.51 million SLC | — |
| 1971 | 235.47 million SLC | +5.4% |
| 1972 | 250.23 million SLC | +6.3% |
| 1973 | 277.98 million SLC | +11.1% |
| 1974 | 308.43 million SLC | +11.0% |
| 1975 | 331.71 million SLC | +7.5% |
| 1976 | 409.78 million SLC | +23.5% |
| 1977 | 461.87 million SLC | +12.7% |
| 1978 | 536.49 million SLC | +16.2% |
| 1979 | 596.13 million SLC | +11.1% |
| 1980 | 610.04 million SLC | +2.3% |
| 1981 | 605.4 million SLC | -0.8% |
| 1982 | 611.65 million SLC | +1.0% |
| 1983 | 698.57 million SLC | +14.2% |
| 1984 | 814.38 million SLC | +16.6% |
| 1985 | 782.3 million SLC | -3.9% |
| 1986 | 809.88 million SLC | +3.5% |
| 1987 | 833.75 million SLC | +2.9% |
| 1988 | 903.78 million SLC | +8.4% |
| 1989 | 837.56 million SLC | -7.3% |
| 1990 | 871.7 million SLC | +4.1% |
| 1991 | 916.01 million SLC | +5.1% |
| 1992 | 1,011 million SLC | +10.4% |
| 1993 | 1,312 million SLC | +29.8% |
| 1994 | 1,751 million SLC | +33.4% |
| 1995 | 2,049 million SLC | +17.0% |
| 1996 | 2,103 million SLC | +2.7% |
| 1997 | 2,426 million SLC | +15.3% |
| 1998 | 2,572 million SLC | +6.0% |
| 1999 | 2,958 million SLC | +15.0% |
| 2000 | 3,235 million SLC | +9.3% |
| 2001 | 3,499 million SLC | +8.2% |
| 2002 | 4,331 million SLC | +23.8% |
| 2003 | 4,715 million SLC | +8.9% |
| 2004 | 4,450 million SLC | -5.6% |
| 2005 | 4,910 million SLC | +10.3% |
| 2006 | 5,211 million SLC | +6.1% |
| 2007 | 5,550 million SLC | +6.5% |
| 2008 | 6,358 million SLC | +14.5% |
| 2009 | 6,929 million SLC | +9.0% |
| 2010 | 7,599 million SLC | +9.7% |
| 2011 | 8,187 million SLC | +7.7% |
| 2012 | 8,552 million SLC | +4.5% |
| 2013 | 9,191 million SLC | +7.5% |
| 2014 | 10,108 million SLC | +10.0% |
| 2015 | 10,498 million SLC | +3.9% |
| 2016 | 11,620 million SLC | +10.7% |
| 2017 | 12,800 million SLC | +10.2% |
| 2018 | 13,478 million SLC | +5.3% |
| 2019 | 14,234 million SLC | +5.6% |
| 2020 | 15,476 million SLC | +8.7% |
| 2021 | 17,400 million SLC | +12.4% |
| 2022 | 18,835 million SLC | +8.3% |
| 2023 | 19,960 million SLC | +6.0% |
| 2024 | 22,683 million SLC | +13.6% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1970s | 363.16 million SLC | 223.51 million SLC | 596.13 million SLC | 10 |
| 1980s | 750.73 million SLC | 605.4 million SLC | 903.78 million SLC | 10 |
| 1990s | 1,797 million SLC | 871.7 million SLC | 2,958 million SLC | 10 |
| 2000s | 4,919 million SLC | 3,235 million SLC | 6,929 million SLC | 10 |
| 2010s | 10,627 million SLC | 7,599 million SLC | 14,234 million SLC | 10 |
| 2020s | 18,871 million SLC | 15,476 million SLC | 22,683 million SLC | 5 |
Countries ranked near Papua New Guinea
- 103 Yugoslav SFR 25,451 million SLC compare
- 104 New Caledonia 23,248 million SLC compare
- 105 New Zealand 23,211 million SLC compare
- 107 Denmark 21,983 million SLC compare
- 108 Israel 21,006 million SLC compare
- 109 Zimbabwe 20,101 million SLC compare
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)
- Sawlogs and veneer logs — Production, annual growth rate 0 % change on previous year (2024)
- Sawlogs and veneer logs, non-coniferous — Production, annual growth 0 % change on previous year (2024)
- Wood charcoal — Production, annual growth rate 1.42 % change on previous year (2024)
- Sawnwood — Production, annual growth rate 0 % change on previous year (2024)
- Sawnwood — Production, per unit of GDP 0 m3 per US$ of GDP (2024)
Frequently asked questions
- What is value added (agriculture, forestry and fishing) — value standard in Papua New Guinea?
- Value added (agriculture, forestry and fishing) — value standard in Papua New Guinea was 22,683 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 Papua New Guinea?
- The highest recorded value was 22,683 million SLC in 2024.
- What is the lowest value added (agriculture, forestry and fishing) — value standard recorded in Papua New Guinea?
- The lowest recorded value was 223.51 million SLC in 1970.
- How does Papua New Guinea rank for value added (agriculture, forestry and fishing) — value standard?
- Papua New Guinea ranks 106th out of 199 countries with data for 2024.
- Is value added (agriculture, forestry and fishing) — value standard rising or falling in Papua New Guinea?
- Over the last ten years it is up 124.4%. The long-run trend across the full record is volatile.
- 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 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).