Gross Fixed Capital Formation (Agriculture, Forestry and Fishing) in New Zealand

New Zealand: Gross Fixed Capital Formation (Agriculture, Forestry and Fishing) was 33.29 % in 2023. ▲ Rising

Latest (2023)
33.29 %
Change on year
up 9.3%
World rank
26th
of 181 countries
All-time high
41.75 %
in 2007
All-time low
14.25 %
in 1997
Years of data
29
1995–2023

Gross Fixed Capital Formation (Agriculture, Forestry and Fishing) in New Zealand, 1995–2023

102030401995200920231995: 18.7 %1996: 14.9 %1997: 14.3 %1998: 15.4 %1999: 16.6 %2000: 19.7 %2001: 24.1 %2002: 24.6 %2003: 19.3 %2004: 20.4 %2005: 22.9 %2006: 21.9 %2007: 41.8 %2008: 33.6 %2009: 24.2 %2010: 29.1 %2011: 24.9 %2012: 26.1 %2013: 26.9 %2014: 27.4 %2015: 26.8 %2016: 23.3 %2017: 30 %2018: 28.6 %2019: 27.2 %2020: 23.1 %2021: 24.1 %2022: 30.5 %2023: 33.3 %

Source: Food and Agriculture Organization of the United Nations. Measured in %.

Analysis

The most recent figure for gross fixed capital formation (agriculture, forestry and fishing) in New Zealand is 33.29 %, measured in 2023.

Compared with earlier readings it is up 9.3% on the previous year and up 23.9% over ten years.

Over the whole period, gross fixed capital formation (agriculture, forestry and fishing) in New Zealand peaked at 41.75 % in 2007 and was at its lowest, 14.25 %, in 1997.

New Zealand ranks 26th of 181 countries on this measure, in the top quarter.

The long-run direction has been consistently rising across the 29 years of available data.

Gross Fixed Capital Formation (Agriculture, Forestry and Fishing) in New Zealand, year by year

Annual values for Gross Fixed Capital Formation (Agriculture, Forestry and Fishing) — Share of Value Added Standard Local Currency, 2015 prices in New Zealand, 1995 to 2023.
Year % Change
1995 18.75 %
1996 14.94 % -20.3%
1997 14.25 % -4.6%
1998 15.45 % +8.4%
1999 16.56 % +7.2%
2000 19.72 % +19.1%
2001 24.14 % +22.4%
2002 24.56 % +1.8%
2003 19.32 % -21.3%
2004 20.38 % +5.5%
2005 22.93 % +12.5%
2006 21.87 % -4.7%
2007 41.75 % +91.0%
2008 33.6 % -19.5%
2009 24.2 % -28.0%
2010 29.11 % +20.3%
2011 24.9 % -14.5%
2012 26.11 % +4.9%
2013 26.87 % +2.9%
2014 27.35 % +1.8%
2015 26.83 % -1.9%
2016 23.31 % -13.1%
2017 29.96 % +28.5%
2018 28.6 % -4.6%
2019 27.22 % -4.8%
2020 23.11 % -15.1%
2021 24.13 % +4.4%
2022 30.46 % +26.2%
2023 33.29 % +9.3%

New Zealand compared with similar countries

  • New Zealand's 33.29 % is above the median for high income countries, which is 21.67 %, 1.5× the median. (61 countries reporting)
  • New Zealand's 33.29 % is above the median for East Asia & Pacific, which is 10.3 %, 3.2× the median. (23 countries reporting)

Biggest year-on-year movements

Years where Gross Fixed Capital Formation (Agriculture, Forestry and Fishing) in New Zealand changed far more than this series normally does. A large move can be a real event or a change in how the figure was measured — the source note below says who published it.

YearChange FromTo
2007 +91.0% 21.87 % 41.75 %

Averages by decade

DecadeAverage LowestHighest Years
1990s 15.99 % 14.25 % 18.75 % 5
2000s 25.25 % 19.32 % 41.75 % 10
2010s 27.03 % 23.31 % 29.96 % 10
2020s 27.75 % 23.11 % 33.29 % 4

Countries ranked near New Zealand

  1. 23 Poland 37.63 % compare
  2. 24 Slovakia 37.17 % compare
  3. 25 Croatia 34.27 % compare
  4. 27 Bulgaria 33.14 % compare
  5. 28 Netherlands (Kingdom of the) 31.87 % compare
  6. 29 Australia 30.22 % compare

See the full ranking of 194 places →

More environment data for New Zealand

All data for New Zealand →

Frequently asked questions

What is gross fixed capital formation (agriculture, forestry and fishing) in New Zealand?
Gross fixed capital formation (agriculture, forestry and fishing) in New Zealand was 33.29 % in 2023, according to Food and Agriculture Organization of the United Nations.
What is the highest gross fixed capital formation (agriculture, forestry and fishing) recorded in New Zealand?
The highest recorded value was 41.75 % in 2007.
What is the lowest gross fixed capital formation (agriculture, forestry and fishing) recorded in New Zealand?
The lowest recorded value was 14.25 % in 1997.
How does New Zealand rank for gross fixed capital formation (agriculture, forestry and fishing)?
New Zealand ranks 26th out of 181 countries with data for 2023.
Is gross fixed capital formation (agriculture, forestry and fishing) rising or falling in New Zealand?
Over the last ten years it is up 23.9%. 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 Gross Fixed Capital Formation (Agriculture, Forestry and Fishing) — Share of Value Added Standard Local Currency, 2015 prices. Statizoid updates them automatically from the source API.

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Gross Fixed Capital Formation (Agriculture, Forestry and Fishing) in New Zealand. Statizoid, drawing on Food and Agriculture Organization of the United Nations. Retrieved 14 September 2026, from https://environment.statizoid.com/stat/gross-fixed-capital-formation-agriculture-forestry-and-fishing-share-of-value-added-2/new-zealand/

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About this data

Indicator
Gross Fixed Capital Formation (Agriculture, Forestry and Fishing) — Share of Value Added Standard Local Currency, 2015 prices
Unit
%
Source
Food and Agriculture Organization of the United Nations
Licence
CC BY-NC-SA 3.0 IGO (FAO)
Coverage
194 places, 5,526 data points, 1995–2023
Last refreshed

As part of the FAO Agriculture Capital Stock (ACS) database, the Statistics Division of FAO publishes country-by-country data on physical investment in agriculture, forestry and fishing as measured by the System of National Accounts (SNA) concept of Gross Fixed Capital Formation (GFCF). Additional variables included in the ACS are Net and Gross Capital Stock, Consumption of Fixed Capital, the Agriculture Investment ratio, and the Gross Fixed Capital Formation Agriculture Orientation Index. The FAO Agriculture Capital Stock Database is an analytical database: whenever available, the database integrates official National Accounts data harvested from the UNSD National Accounts Main Aggregates Database (UNSD AMA) and the OECD Annual National Accounts Database (OECD ANA). The database is further supplemented by OECD Structural Analysis database (OECD STAN) and, in a few cases, data from country’s statistics websites. If the full set of official data is not available for any specific country, imputation methods are applied to obtain estimates over the complete time series. Many data points in ACS are estimated and are flagged as such; they do not represent official submissions by Member Countries. With a view of producing internationally comparable net capital stock estimates, the Perpetual Inventory Method (PIM) with a constant geometric depreciation rate is employed to impute missing data. The Perpetual Inventory Method is a well-established economic model to calculate Net Capital Stocks (NCS) and Consumption of Fixed Capital (CFC) from time series of Gross Fixed Capital Formation (GFCF). Specifically, annual measures of the NCS are obtained from cumulating historical series on physical investment flows and deducting the part of assets that are depreciated (the Consumption of Fixed Capital that occurs in every period). In order to implement the PIM, long time series on aggregate GFCF in agriculture, forestry and fishing is required.An attempt is made to rely as much as possible on National Accounts data published by the OECD and UNSD. When country data are partially or fully missing, econometric techniques to impute missing observations are employed. Depending on the pattern of data missingness for the countries, different imputation methods are applied (from among the ARIMAX, PANEL regression, and OLS approaches) for the data series from 1995 to 2022. The values of Agriculture Capital Stock related indicators for 2023, including Agriculture Investment Ratio, Agriculture Orientation Index, Net Capital Stock, Gross Fixed Capital Formation and Consumption of Fixed Capital, are estimated using the Holt-Winters (HW) method (Cipra et al., 1995). The HW method is an exponential smoothing method for forecasting the annual values of economic variables. In this context, the HW method relies on existing (historical) values of the Agriculture Capital Stock. The predicted value is an extrapolation of the historical values to the specified target date, which extends the timeline without considering seasonality in the annual series.All data series in the database are provided both in national currencies and in US dollars as well as in current prices and constant prices with base year 2015.