Value Added (Agriculture, Forestry and Fishing) — Value US$, 2015 in New Zealand
New Zealand: Value Added (Agriculture, Forestry and Fishing) — Value US$, 2015 was 8,978 million USD in 2024. ▲ Rising
Value Added (Agriculture, Forestry and Fishing) — Value US$, 2015 in New Zealand, 1970–2024
Source: Food and Agriculture Organization of the United Nations. Measured in million USD.
Analysis
In 2024, value added (agriculture, forestry and fishing) — value us$, 2015 in New Zealand stood at 8,978 million USD. That is the highest value across all 55 years on record.
The figure is up 2.0% on the previous year and up 15.2% over ten years.
Over the whole period, value added (agriculture, forestry and fishing) — value us$, 2015 in New Zealand peaked at 8,978 million USD in 2024 and was at its lowest, 2,906 million USD, in 1974.
New Zealand ranks 48th of 200 countries on this measure, in the top quarter.
The long-run direction has been consistently rising across the 55 years of available data.
Value Added (Agriculture, Forestry and Fishing) — Value US$, 2015 in New Zealand, year by year
| Year | million USD | Change |
|---|---|---|
| 1970 | 3,398 million USD | — |
| 1971 | 3,315 million USD | -2.4% |
| 1972 | 3,994 million USD | +20.5% |
| 1973 | 3,928 million USD | -1.7% |
| 1974 | 2,906 million USD | -26.0% |
| 1975 | 3,435 million USD | +18.2% |
| 1976 | 3,805 million USD | +10.8% |
| 1977 | 3,201 million USD | -15.9% |
| 1978 | 3,031 million USD | -5.3% |
| 1979 | 3,429 million USD | +13.1% |
| 1980 | 3,850 million USD | +12.3% |
| 1981 | 3,840 million USD | -0.3% |
| 1982 | 3,986 million USD | +3.8% |
| 1983 | 3,735 million USD | -6.3% |
| 1984 | 3,898 million USD | +4.4% |
| 1985 | 4,608 million USD | +18.2% |
| 1986 | 4,525 million USD | -1.8% |
| 1987 | 5,031 million USD | +11.2% |
| 1988 | 4,866 million USD | -3.3% |
| 1989 | 4,589 million USD | -5.7% |
| 1990 | 5,371 million USD | +17.0% |
| 1991 | 5,398 million USD | +0.5% |
| 1992 | 4,704 million USD | -12.8% |
| 1993 | 5,542 million USD | +17.8% |
| 1994 | 5,532 million USD | -0.2% |
| 1995 | 5,956 million USD | +7.7% |
| 1996 | 6,562 million USD | +10.2% |
| 1997 | 6,573 million USD | +0.2% |
| 1998 | 6,241 million USD | -5.1% |
| 1999 | 6,508 million USD | +4.3% |
| 2000 | 6,738 million USD | +3.5% |
| 2001 | 6,605 million USD | -2.0% |
| 2002 | 6,567 million USD | -0.6% |
| 2003 | 7,340 million USD | +11.8% |
| 2004 | 7,106 million USD | -3.2% |
| 2005 | 7,489 million USD | +5.4% |
| 2006 | 7,483 million USD | -0.1% |
| 2007 | 6,292 million USD | -15.9% |
| 2008 | 6,763 million USD | +7.5% |
| 2009 | 6,925 million USD | +2.4% |
| 2010 | 6,375 million USD | -7.9% |
| 2011 | 7,134 million USD | +11.9% |
| 2012 | 7,495 million USD | +5.1% |
| 2013 | 7,431 million USD | -0.9% |
| 2014 | 7,791 million USD | +4.8% |
| 2015 | 7,962 million USD | +2.2% |
| 2016 | 7,978 million USD | +0.2% |
| 2017 | 7,671 million USD | -3.8% |
| 2018 | 8,167 million USD | +6.5% |
| 2019 | 7,979 million USD | -2.3% |
| 2020 | 8,178 million USD | +2.5% |
| 2021 | 7,997 million USD | -2.2% |
| 2022 | 8,239 million USD | +3.0% |
| 2023 | 8,806 million USD | +6.9% |
| 2024 | 8,978 million USD | +2.0% |
Averages by decade
| Decade | Average | Lowest | Highest | Years |
|---|---|---|---|---|
| 1970s | 3,444 million USD | 2,906 million USD | 3,994 million USD | 10 |
| 1980s | 4,293 million USD | 3,735 million USD | 5,031 million USD | 10 |
| 1990s | 5,839 million USD | 4,704 million USD | 6,573 million USD | 10 |
| 2000s | 6,931 million USD | 6,292 million USD | 7,489 million USD | 10 |
| 2010s | 7,598 million USD | 6,375 million USD | 8,167 million USD | 10 |
| 2020s | 8,440 million USD | 7,997 million USD | 8,978 million USD | 5 |
Countries ranked near New Zealand
More environment data for New Zealand
- Historical exposure to drought — Land soil moisture anomaly -0.2131 Percentage change (2025)
- Historical exposure to drought — Cropland soil moisture anomaly 1.69 Percentage change (2025)
- Standard Deviation, annual growth rate 0 % change on previous year (2025)
- Standard Deviation 0.379 °C (2025)
- Temperature change 1.23 °C (2025)
- Sawnwood — Production, annual growth rate 11.44 % change on previous year (2024)
- Sawnwood — Production, per unit of GDP 0 m3 per US$ of GDP (2024)
- Sawnwood — Production, per capita 0.7846 m3 per person (2024)
- Sawnwood — Import quantity, annual growth rate 2.88 % change on previous year (2024)
- Sawnwood — Import quantity, per unit of GDP 0 m3 per US$ of GDP (2024)
Frequently asked questions
- What is value added (agriculture, forestry and fishing) — value us$, 2015 in New Zealand?
- Value added (agriculture, forestry and fishing) — value us$, 2015 in New Zealand was 8,978 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$, 2015 recorded in New Zealand?
- The highest recorded value was 8,978 million USD in 2024.
- What is the lowest value added (agriculture, forestry and fishing) — value us$, 2015 recorded in New Zealand?
- The lowest recorded value was 2,906 million USD in 1974.
- How does New Zealand rank for value added (agriculture, forestry and fishing) — value us$, 2015?
- New Zealand ranks 48th out of 200 countries with data for 2024.
- Is value added (agriculture, forestry and fishing) — value us$, 2015 rising or falling in New Zealand?
- Over the last ten years it is up 15.2%. The long-run trend across the full record is rising.
- Where does this New Zealand 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).