Value Added (Agriculture, Forestry and Fishing) — Value Standard in Papua New Guinea
Papua New Guinea: Value Added (Agriculture, Forestry and Fishing) — Value Standard was 13,252 million SLC in 2024. ▲ Rising
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 13,252 million SLC for value added (agriculture, forestry and fishing) — value standard 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 standard in Papua New Guinea peaked at 13,252 million SLC in 2024 and was at its lowest, 3,075 million SLC, in 1970.
Papua New Guinea ranks 105th of 191 countries on this measure, 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 Standard in Papua New Guinea, year by year
| Year | million SLC | Change |
|---|---|---|
| 1970 | 3,075 million SLC | — |
| 1971 | 3,158 million SLC | +2.7% |
| 1972 | 3,261 million SLC | +3.3% |
| 1973 | 3,321 million SLC | +1.8% |
| 1974 | 3,477 million SLC | +4.7% |
| 1975 | 3,616 million SLC | +4.0% |
| 1976 | 3,674 million SLC | +1.6% |
| 1977 | 3,700 million SLC | +0.7% |
| 1978 | 3,846 million SLC | +4.0% |
| 1979 | 3,919 million SLC | +1.9% |
| 1980 | 4,105 million SLC | +4.7% |
| 1981 | 4,429 million SLC | +7.9% |
| 1982 | 4,367 million SLC | -1.4% |
| 1983 | 4,410 million SLC | +1.0% |
| 1984 | 4,541 million SLC | +3.0% |
| 1985 | 4,408 million SLC | -2.9% |
| 1986 | 4,476 million SLC | +1.5% |
| 1987 | 4,716 million SLC | +5.3% |
| 1988 | 4,881 million SLC | +3.5% |
| 1989 | 4,949 million SLC | +1.4% |
| 1990 | 5,058 million SLC | +2.2% |
| 1991 | 4,925 million SLC | -2.6% |
| 1992 | 5,235 million SLC | +6.3% |
| 1993 | 6,321 million SLC | +20.7% |
| 1994 | 6,746 million SLC | +6.7% |
| 1995 | 6,739 million SLC | -0.1% |
| 1996 | 7,244 million SLC | +7.5% |
| 1997 | 6,636 million SLC | -8.4% |
| 1998 | 6,776 million SLC | +2.1% |
| 1999 | 7,711 million SLC | +13.8% |
| 2000 | 7,870 million SLC | +2.1% |
| 2001 | 7,497 million SLC | -4.7% |
| 2002 | 7,453 million SLC | -0.6% |
| 2003 | 8,030 million SLC | +7.7% |
| 2004 | 8,013 million SLC | -0.2% |
| 2005 | 8,464 million SLC | +5.6% |
| 2006 | 8,552 million SLC | +1.0% |
| 2007 | 8,457 million SLC | -1.1% |
| 2008 | 8,571 million SLC | +1.3% |
| 2009 | 9,069 million SLC | +5.8% |
| 2010 | 9,324 million SLC | +2.8% |
| 2011 | 9,403 million SLC | +0.9% |
| 2012 | 9,964 million SLC | +6.0% |
| 2013 | 10,430 million SLC | +4.7% |
| 2014 | 10,784 million SLC | +3.4% |
| 2015 | 10,498 million SLC | -2.6% |
| 2016 | 10,777 million SLC | +2.7% |
| 2017 | 11,030 million SLC | +2.4% |
| 2018 | 11,535 million SLC | +4.6% |
| 2019 | 11,795 million SLC | +2.3% |
| 2020 | 12,015 million SLC | +1.9% |
| 2021 | 12,145 million SLC | +1.1% |
| 2022 | 12,522 million SLC | +3.1% |
| 2023 | 12,796 million SLC | +2.2% |
| 2024 | 13,252 million SLC | +3.6% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1970s | 3,505 million SLC | 3,075 million SLC | 3,919 million SLC | 10 |
| 1980s | 4,528 million SLC | 4,105 million SLC | 4,949 million SLC | 10 |
| 1990s | 6,339 million SLC | 4,925 million SLC | 7,711 million SLC | 10 |
| 2000s | 8,198 million SLC | 7,453 million SLC | 9,069 million SLC | 10 |
| 2010s | 10,554 million SLC | 9,324 million SLC | 11,795 million SLC | 10 |
| 2020s | 12,546 million SLC | 12,015 million SLC | 13,252 million SLC | 5 |
Countries ranked near Papua New Guinea
- 102 Tajikistan 15,106 million SLC compare
- 103 United Arab Emirates 15,040 million SLC compare
- 104 Netherlands (Kingdom of the) 13,497 million SLC compare
- 106 New Zealand 12,874 million SLC compare
- 107 United Kingdom of Great Britain and Northern Ireland 12,284 million SLC compare
- 108 Djibouti 11,098 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)
- Value Added (Agriculture, Forestry and Fishing) — Value Standard 13.64 % change on previous year (2024)
- Value Added (Agriculture, Forestry and Fishing) — Value Standard 0.0021 million SLC per person (2024)
- Value Added (Agriculture, Forestry and Fishing) — Value US$, annual 6.11 % change on previous year (2024)
- Value Added (Agriculture, Forestry and Fishing) — Value US$, per unit 0 million USD per US$ of GDP (2024)
- Value Added (Agriculture, Forestry and Fishing) — Value US$, per 0.0006 million USD per person (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 13,252 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 13,252 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 3,075 million SLC in 1970.
- How does Papua New Guinea rank for value added (agriculture, forestry and fishing) — value standard?
- Papua New Guinea ranks 105th out of 191 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 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 Standard Local Currency, 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).