This release contains final results from the 2009 Agricultural Production Survey. This survey is part of an ongoing programme of agricultural production statistics conducted in partnership with the Ministry of Agriculture and Forestry. The current programme began with an agricultural production census in 2002 and was followed by yearly sample surveys from 2003 to 2006. An agricultural production census was held in 2007. Sample surveys were held in 2008 and 2009.
The target population for the 2009 Agricultural Production Survey was all businesses engaged in 'agricultural production activity' (including livestock, cropping, horticulture, and forestry) or owned land that was intended for agricultural activity. The target population included businesses that were engaged in agriculture or forestry production as a secondary activity.
The target population was defined in terms of the Australian and New Zealand Standard Industrial Classification 2006 (ANZSIC06). It specifically included businesses classified as:
- A01 Agriculture
- A0301 Forestry (excluding native forestry)
and parts of:
- L671200 Non-residential property operators
- M691000 Scientific research services (agriculture-related research that involves land holding (excluding universities))
- P802300 Combined primary and secondary education (agricultural high school operation)
- P802400 Special school education (special needs education involving agricultural production activity)
- P810200 Higher education (agriculture-related research undertaken by universities that involves land holding)
- R912100 Horse and dog racing administration and track operation
- R912900 Other horse and dog racing activities (racehorse training and racing stables operations)
- R892200 Nature reserves and conservation parks operation.
The target population specifically excluded:
- A019300 Beekeeping
- part of A019900 Other livestock farming nec (worm farming, pet breeding, dog breeding, cat breeding, bird breeding (except poultry, game birds, ostriches, and emus))
- A017100 Poultry meat (except growers who also produce eggs for human consumption).
The 2009 Agricultural Production Survey includes all units identified on Statistics New Zealand's Business Frame as having agricultural activity. The Business Frame is a list of businesses in New Zealand, based on their registration for goods and services tax (GST) with Inland Revenue. In the case of agriculture, the Business Frame includes:
- those units registered for GST (and filing a non-zero GST return) that have indicated involvement in agricultural activity (as defined above)
- those businesses with more than $200,000 of GST sales or purchases, or that are an employer, whose main activity is not agriculture but that have indicated some secondary agricultural activity.
The compulsory registration level for GST is $60,000, so there is a partial and unquantifiable coverage of units below this level.
Responses from farmers and foresters in the 2009 Agricultural Production Survey have resulted in an estimated eligible population of 59,000 enterprises.
Time series consistency
Users should note that while there is consistency in the frame from which the population has been drawn for agricultural production data collections from 2003 to 2009, there are differences for data collections before 2003.
From 1981 to 1991, the population was sourced from an agricultural directory. Statistics NZ maintained this directory by tracing transfers of farming, horticulture, and forestry land. In 1992, this agriculture directory was merged with Statistics NZ's Business Frame. For the 1992 and 1993 surveys, population units were drawn from the Business Frame by industrial classification. In the 1994 Agricultural Production Census, for the first time the population was extracted using both the industrial classification and GST registration information.
Between 1994 and 1996, the population was all businesses, sourced from the Business Frame, that were registered for GST and classified to agriculture. The 1999 Agricultural Production Survey population was sourced solely from AgriBase (a geospatial database owned and managed by AgriQuality New Zealand Ltd). The population for the 2000 Horticulture Production Survey was sourced from the Business Frame, supplemented by AgriBase and growers' lists. For the 2002 census, the population was sourced from the Business Frame and the Inland Revenue Client Register. These sources were checked against industry lists and AgriBase to ensure all large units were included in the population. The Business Frame was used for the 2003, 2004, 2005, and 2006 surveys, the 2007 census and the 2008 and 2009 surveys.
Survey content changes
Users should note that there have been changes to the core information gathered in agricultural production collections.
Since 1994, agricultural production collections have gathered information on livestock and arable farming, horticulture, and forestry with the following exceptions:
- In 1999, the survey collected information on livestock and arable farming only.
- In 2000, the survey collected horticulture production information only.
- In 2004, 2006, and 2008 the surveys collected information on livestock and arable farming, and forestry (horticulture production information was not collected).
2009 questionnaire changes
Supplementary feed crops
This section was expanded to collect information on forage, fodder, and green feed crops.
Grain and seed crops
This question was expanded to allow respondents to specify the amount and type of other grain and seed crops harvested. These descriptions were examined and reclassified, if appropriate, to the specified grain and seed crops.
Questions on the area of fruit trees and vines planted, and the area of vegetables and other horticulture crops harvested were included.
Cultivation and pasture renewal
The questions in this section were expanded to collect information on pasture renewal and method of cultivation.
Past questionnaire changes relevant for 2009
The reference date for forestry production estimates changed to 31 March in the 2005 Agricultural Production Survey. This change was made to allow the forestry section of the Agricultural Production Survey to align more closely with the National Exotic Forest Description survey (NEFD) run by the Ministry of Agriculture and Forestry.
For the 2002 census, and the 2003 and 2004 surveys, the year ended date was 31 December. For agricultural production collections before the 2002 Agricultural Production Census, the year ended date was 30 June.
Since the 2005 survey, the data relates to fawns born on the farm that were alive at four months. This change takes into account industry recommendations. In 1994, 1995, 1996, 1999, 2003, and 2004, data related to fawns weaned on the farm. In 2002, data related to fawns born on the farm.
Users should note that deer figures since the 2004 survey are not directly comparable with 2002 and 2003 figures. Improvements made to the questions about deer in the 2004, 2005, and 2006 surveys have resulted in improved deer number estimates. While it is not possible to quantify the exact extent of the previous undercoverage, Statistics NZ estimates an undercount of about 70,000 deer at 30 June 2002 and 50,000 at 30 June 2003.
For the 2009 Agricultural Production Survey, a stratified sample design was used to select a sample from the population. In selecting this sample, the population was stratified by regional council area, ANZSIC group, and size group. The size groups were determined as follows:
- For those businesses that had previously responded to one or more of the agricultural production censuses or surveys since 2002, the most recent production data was used to form size groups. The variables used to form size groups covered a range of livestock and cropping variables. Typically, three size groups were formed: small, medium, and large.
- For new businesses or those businesses that did not respond to the 2002 to 2008 agricultural collections, a random sample was taken.
The 2009 Agricultural Production Survey has a sample size of 30,000.
Reliability of sample survey estimates
This release contains statistics from the 1981–1996, 1999, and 2002–2009 agricultural production collections, as well as the 2000 horticultural production data collection. All the results from these collections are subject to non-sampling error.
Non-sampling error arises from biases in the patterns of response and non-response, inaccuracies in reporting by respondents, and errors in the recording and classification of data. Statistics NZ adopts procedures to detect and minimise these types of errors, but they may still occur and are not easy to quantify.
As the 1988, 1989, 1991–1993, 1995, 1996, 1999, 2003–2006, and 2008 and 2009 are sample surveys, not censuses, the results from these collections are also subject to sampling error. Sampling error arises from selecting a random sample of businesses and weighting the results, rather than holding a complete enumeration. The 2009 sample design has been optimised to produce a specified sampling error for certain combinations of key variables and regions, but not all. Also, the 2009 design is optimised on the basis of the distribution of past farmer responses, mainly those to the 2008 survey. Given the dynamic nature of the agricultural sector, the sample errors for 2009 may sometimes be smaller or larger than planned, particularly for those sectors or regions rapidly changing.
Values have been imputed for farmers and foresters who did not return a completed questionnaire. Imputation involves replacing missing items with values based on other information available.
The method of imputation used is random 'hot deck' imputation. A proportion of non-respondents were estimated as ineligible. The remaining non-respondents were grouped into imputation cells based on regional council area, ANZSIC06 (Australian and New Zealand Standard Industrial Classification 2006) group, and prior years' production data. Each non-respondent was then randomly assigned to a respondent in the same imputation cell, and the farm production data of the respondent was copied across to the non-respondent. In order to improve the imputation process, respondents with uncharacteristically high levels of agricultural activity were removed from their respective imputation cells, as it was considered unlikely that any of the non-respondents would have similar characteristics to them.
Imputation levels and sampling errors for the 2009 Agricultural Production Survey
||Sampling errors at 95% confidence interval (%)
||% of total estimate imputed|
|Ewe hoggets put to ram
|Breeding ewes 2-tooth and over put to ram
|Lambs born to ewe hoggets
|Lambs born to ewes
|Dairy cows and heifers, in milk or calf
|Total dairy cattle
|Calves born alive to dairy heifers/cows
|Beef cows and heifers in calf (aged 1–2 years)
|Beef cows and heifers in calf (aged 2 years and over)
|Total beef cattle
|Calves born alive to beef heifers/cows
|Female deer mated
|Fawns born on the farm
|Area of new forestry plantings (hectares)
|Area of forestry replantings (hectares)
|Exotic timber harvested (hectares)
|Exotic timber harvested (cubic metres)
|Wheat tonnage harvested
|Wheat area harvested (hectares)
|Barley tonnage harvested
|Barley area harvested (hectares)
|Maize grain tonnage harvested
|Maize grain area harvested (hectares)
|Net area planted in kiwifruit (hectares)
|Net area planted in apples (hectares)
|Net area planted in cherries (hectares)
|Net area planted in blackcurrants(hectares)
|Net area planted in avocados (hectares)
|Net area planted in wine grapes (hectares)
|Harvested area of onions (hectares)
|Harvested area of peas (hectares)
|Harvested area of sweet corn (hectares)
|Harvested area of potatoes (hectares)
|Harvested area of squash (hectares)
The estimated proportion of eligible businesses that responded to the 2009 Agricultural Production Survey was 84 percent. These businesses represent 86 percent of the total estimated value of agricultural operations.
In some cases, data collected before the 2009 Agricultural Production Survey may be revised. This revision usually results from the correction of information provided by survey respondents. Revised figures are indicated in the tables by an 'R'.
Data collected and information contained in this release must conform to the provisions of the Statistics Act 1975. This requires that published information maintains the confidentiality of individual respondents. Figures affected by these provisions have been suppressed and are denoted by 'C'.
Data with high sample errors or imputation levels have been suppressed and are indicated by an 'S'.
For more information, follow the link from the Technical notes of this release on the Statistics New Zealand website.
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