This dataset supports a journal article evaluating New Zealand stakeholder perspectives on: (a) sharing farm biodiversity data; (b) behavioural factors likely to influence farmer uptake and use of a farm-level sustainability assessment tool developed for New Zealand farms; and (c) how to improve the tool. It was derived from a participatory action research combined with mixed methods approach (via online surveys, workshops, seminars, meetings and emails). For more information see: MacLeod, C.J., Brandt, A.J., Collins, K., Moller, H., & Manhire, J. 2022. Behavioural insights for improved uptake of agricultural sustainability assessment tools. People and Nature (in press). https://doi.org/10.1002/pan3.10294

Dataset shows an individual’s statistical area 3 (SA3) of usual residence and the SA3 of their workplace address, for the employed census usually resident population count aged 15 years and over, by main means of travel to work from the 2018 and 2023 Censuses.

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The main means of travel to work categories are:

• Work at home
• Drive a private car, truck, or van
• Drive a company car, truck, or van
• Passenger in a car, truck, van, or company bus
• Public bus
• Train
• Bicycle
• Walk or jog
• Ferry
• Other.

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Main means of travel to work is the usual method which an employed person aged 15 years and over used to travel the longest distance to their place of work.

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Workplace address refers to where someone usually works in their main job, that is the job in which they worked the most hours. For people who work at home, this is the same address as their usual residence address. For people who do not work at home, this could be the address of the business they work for or another address, such as a building site.

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Workplace address is coded to the most detailed geography possible from the available information. This dataset only includes travel to work information for individuals whose workplace address is available at SA3 level. The sum of the counts for each region in this dataset may not equal the total employed census usually resident population count aged 15 years and over for that region. Workplace address – 2023 Census: Information by concept has more information.

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This dataset can be used in conjunction with the following spatial files by joining on the SA3 code values:

• Statistical area 3 2023 (generalised)

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Download data table using the instructions in the Koordinates help guide.

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Footnotes

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Geographical boundaries

Statistical standard for geographic areas 2023 (updated December 2023) has information about geographic boundaries as of 1 January 2023. Address data from 2013 and 2018 Censuses was updated to be consistent with the 2023 areas. Due to the changes in area boundaries and coding methodologies, 2013 and 2018 counts published in 2023 may be slightly different to those published in 2013 or 2018.

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Subnational census usually resident population

The census usually resident population count of an area (subnational count) is a count of all people who usually live in that area and were present in New Zealand on census night. It excludes visitors from overseas, visitors from elsewhere in New Zealand, and residents temporarily overseas on census night. For example, a person who usually lives in Christchurch city and is visiting Wellington city on census night will be included in the census usually resident population count of Christchurch city. 

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Population counts

Stats NZ publishes a number of different population counts, each using a different definition and methodology. Population statistics – user guide has more information about different counts. 

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Caution using time series

Time series data should be interpreted with care due to changes in census methodology and differences in response rates between censuses. The 2023 and 2018 Censuses used a combined census methodology (using census responses and administrative data).

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Workplace address time series

Workplace address time series data should be interpreted with care at lower geographic levels, such as statistical area 2 (SA2). Methodological improvements in 2023 Census resulted in greater data accuracy, including a greater proportion of people being counted at lower geographic areas compared to the 2018 Census. Workplace address – 2023 Census: Information by concept has more information.

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Working at home

In the census, working at home captures both remote work, and people whose business is at their home address (e.g. farmers or small business owners operating from their home). The census asks respondents whether they ‘mostly’ work at home or away from home. It does not capture whether someone does both, or how frequently they do one or the other.

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Rows excluded from the dataset

Rows show SA3 of usual residence by SA3 of workplace address. Rows with a total population count of less than six have been removed to reduce the size of the dataset, given only a small proportion of SA3-SA3 combinations have commuter flows.

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About the 2023 Census dataset

For information on the 2023 dataset see Using a combined census model for the 2023 Census. We combined data from the census forms with administrative data to create the 2023 Census dataset, which meets Stats NZ's quality criteria for population structure information. We added real data about real people to the dataset where we were confident the people who hadn’t completed a census form (which is known as admin enumeration) will be counted. We also used data from the 2018 and 2013 Censuses, administrative data sources, and statistical imputation methods to fill in some missing characteristics of people and dwellings.

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Data quality

The quality of data in the 2023 Census is assessed using the quality rating scale and the quality assurance framework to determine whether data is fit for purpose and suitable for release. Data quality assurance in the 2023 Census has more information.

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Quality rating of a variable

The quality rating of a variable provides an overall evaluation of data quality for that variable, usually at the highest levels of classification. The quality ratings shown are for the 2023 Census unless stated. There is variability in the quality of data at smaller geographies. Data quality may also vary between censuses, for subpopulations, or when cross tabulated with other variables or at lower levels of the classification. Data quality ratings for 2023 Census variables has more information on quality ratings by variable.

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Main means of travel to work quality rating

Main means of travel to work is rated as moderate quality.

Main means of travel to work – 2023 Census: Information by concept has more information, for example, definitions and data quality.

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Workplace address quality rating

Workplace address is rated as moderate quality.

Workplace address – 2023 Census: Information by concept has more information, for example, definitions and data quality.

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Using data for good

Stats NZ expects that, when working with census data, it is done so with a positive purpose, as outlined in the Māori Data Governance Model (Data Iwi Leaders Group, 2023). This model states that "data should support transformative outcomes and should uplift and strengthen our relationships with each other and with our environments. The avoidance of harm is the minimum expectation for data use. Māori data should also contribute to iwi and hapū tino rangatiratanga”.

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Confidentiality

The 2023 Census confidentiality rules have been applied to 2013, 2018, and 2023 data. These rules protect the confidentiality of individuals, families, households, dwellings, and undertakings in 2023 Census data. Counts are calculated using fixed random rounding to base 3 (FRR3) and suppression of ‘sensitive’ counts less than six, where tables report multiple geographic variables and/or small populations. Individual figures may not always sum to stated totals. Applying confidentiality rules to 2023 Census data and summary of changes since 2018 and 2013 Censuses has more information about 2023 Census confidentiality rules.

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Percentages

To calculate percentages, divide the figure for the category of interest by the figure for ‘Total stated’ where this applies.

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Symbol

-999 Confidential

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Inconsistencies in definitions

Please note that there may be differences in definitions between census classifications and those used for other data collections.

This report illustrates the value of evidence-based prioritisation of management actions for improving biodiversity and wider environmental outcomes on NZ farms. Using farm and industry level demonstrations, it shows how an evidence-based tool can help everyone achieve the best outcomes feasible with the natural capital available on their farm, working through this series of questions: 1. What are the effects of doing nothing? 2. What actions are currently feasible on the farm(s)? 3. What proportion of those actions should be implemented? 4. In what order should those actions be implemented? 5. What can be done next to add value to the farm(s)? Citation: MacLeod CJ. (2019) Demonstrating the value of evidence-based prioritisation of farm management actions for biodiversity and broader environmental outcomes. NZ Sustainability Dashboard Research Report 19/02. Published by ARGOS.

The main means of travel to work categories are:Work at homeDrive a private car, truck, or vanDrive a company car, truck, or vanPassenger in a car, truck, van, or company busPublic busTrainBicycleWalk or jogFerryOther.Main means of travel to work is the usual method which an employed person aged 15 years and over used to travel the longest distance to their place of work.Workplace address refers to where someone usually works in their main job, that is the job in which they worked the most hours. For people who work at home, this is the same address as their usual residence address. For people who do not work at home, this could be the address of the business they work for or another address, such as a building site.Workplace address is coded to the most detailed geography possible from the available information. This dataset only includes travel to work information for individuals whose workplace address is available at SA2 level. The sum of the counts for each region in this dataset may not equal the total employed census usually resident population count aged 15 years and over for that region. Workplace address – 2023 Census: Information by concept has more information.This dataset can be used in conjunction with the following spatial files by joining on the SA2 code values:Statistical area 2 2023 (generalised)Statistical area 2 2023 (Centroid Inside)FootnotesGeographical boundaries Statistical standard for geographic areas 2023 (updated December 2023) has information about geographic boundaries as of 1 January 2023. Address data from 2013 and 2018 Censuses was updated to be consistent with the 2023 areas. Due to the changes in area boundaries and coding methodologies, 2013 and 2018 counts published in 2023 may be slightly different to those published in 2013 or 2018. Subnational census usually resident population The census usually resident population count of an area (subnational count) is a count of all people who usually live in that area and were present in New Zealand on census night. It excludes visitors from overseas, visitors from elsewhere in New Zealand, and residents temporarily overseas on census night. For example, a person who usually lives in Christchurch city and is visiting Wellington city on census night will be included in the census usually resident population count of Christchurch city. Population counts Stats NZ publishes a number of different population counts, each using a different definition and methodology. Population statistics – user guide has more information about different counts. Caution using time series Time series data should be interpreted with care due to changes in census methodology and differences in response rates between censuses. The 2023 and 2018 Censuses used a combined census methodology (using census responses and administrative data).Workplace address time seriesWorkplace address time series data should be interpreted with care at lower geographic levels, such as statistical area 2 (SA2). Methodological improvements in 2023 Census resulted in greater data accuracy, including a greater proportion of people being counted at lower geographic areas compared to the 2018 Census. Workplace address – 2023 Census: Information by concept has more information. Working at homeIn the census, working at home captures both remote work, and people whose business is at their home address (e.g. farmers or small business owners operating from their home). The census asks respondents whether they ‘mostly’ work at home or away from home. It does not capture whether someone does both, or how frequently they do one or the other. Rows excluded from the dataset Rows show SA2 of usual residence by SA2 of workplace address. Rows with a total population count of less than six have been removed to reduce the size of the dataset, given only a small proportion of SA2-SA2 combinations have commuter flows. About the 2023 Census dataset For information on the 2023 dataset see Using a combined census model for the 2023 Census. We combined data from the census forms with administrative data to create the 2023 Census dataset, which meets Stats NZ's quality criteria for population structure information. We added real data about real people to the dataset where we were confident the people who hadn’t completed a census form (which is known as admin enumeration) will be counted. We also used data from the 2018 and 2013 Censuses, administrative data sources, and statistical imputation methods to fill in some missing characteristics of people and dwellings. Data quality The quality of data in the 2023 Census is assessed using the quality rating scale and the quality assurance framework to determine whether data is fit for purpose and suitable for release. Data quality assurance in the 2023 Census has more information.Quality rating of a variableThe quality rating of a variable provides an overall evaluation of data quality for that variable, usually at the highest levels of classification. The quality ratings shown are for the 2023 Census unless stated. There is variability in the quality of data at smaller geographies. Data quality may also vary between censuses, for subpopulations, or when cross tabulated with other variables or at lower levels of the classification. Data quality ratings for 2023 Census variables has more information on quality ratings by variable. Main means of travel to work quality ratingMain means of travel to work is rated as moderate quality. Main means of travel to work – 2023 Census: Information by concept has more information, for example, definitions and data quality.Workplace address quality ratingWorkplace address is rated as moderate quality. Workplace address – 2023 Census: Information by concept has more information, for example, definitions and data quality.Using data for good Stats NZ expects that, when working with census data, it is done so with a positive purpose, as outlined in the Māori Data Governance Model (Data Iwi Leaders Group, 2023). This model states that "data should support transformative outcomes and should uplift and strengthen our relationships with each other and with our environments. The avoidance of harm is the minimum expectation for data use. Māori data should also contribute to iwi and hapū tino rangatiratanga”.Confidentiality The 2023 Census confidentiality rules have been applied to 2013, 2018, and 2023 data. These rules protect the confidentiality of individuals, families, households, dwellings, and undertakings in 2023 Census data. Counts are calculated using fixed random rounding to base 3 (FRR3) and suppression of ‘sensitive’ counts less than six, where tables report multiple geographic variables and/or small populations. Individual figures may not always sum to stated totals. Applying confidentiality rules to 2023 Census data and summary of changes since 2018 and 2013 Censuses has more information about 2023 Census confidentiality rules.Percentages To calculate percentages, divide the figure for the category of interest by the figure for ‘Total stated’ where this applies. Symbol-999 ConfidentialInconsistencies in definitions Please note that there may be differences in definitions between census classifications and those used for other data collections.

GDP from Agriculture in New Zealand increased to 3779 NZD Million in the first quarter of 2025 from 3749 NZD Million in the fourth quarter of 2024. This dataset provides - New Zealand Gdp From Agriculture- actual values, historical data, forecast, chart, statistics, economic calendar and news.

New Zealand NZ: Employment In Agriculture: Modeled ILO Estimate: Male: % of Male Employment data was reported at 8.573 % in 2017. This records an increase from the previous number of 8.424 % for 2016. New Zealand NZ: Employment In Agriculture: Modeled ILO Estimate: Male: % of Male Employment data is updated yearly, averaging 9.585 % from Dec 1991 (Median) to 2017, with 27 observations. The data reached an all-time high of 13.378 % in 1992 and a record low of 8.027 % in 2015. New Zealand NZ: Employment In Agriculture: Modeled ILO Estimate: Male: % of Male Employment data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s New Zealand – Table NZ.World Bank: Employment and Unemployment. Employment is defined as persons of working age who were engaged in any activity to produce goods or provide services for pay or profit, whether at work during the reference period or not at work due to temporary absence from a job, or to working-time arrangement. The agriculture sector consists of activities in agriculture, hunting, forestry and fishing, in accordance with division 1 (ISIC 2) or categories A-B (ISIC 3) or category A (ISIC 4).; ; International Labour Organization, ILOSTAT database. Data retrieved in September 2018.; Weighted average; Data up to 2016 are estimates while data from 2017 are projections.

Business demography statistics

Business demography statistics provide an annual snapshot (as at February) of the structure and characteristics of New Zealand businesses. Statistics produced include counts of enterprises and geographic units by industry, geography such as region or statistical area 2 (SA2), institutional sector, business type, degree of overseas ownership, enterprise births, enterprise deaths, survival rate of enterprises and employment levels.

The series covers economically significant private-sector and public-sector enterprises that are engaged in the production of goods and services in New Zealand. These enterprises are maintained on the Statistics NZ Business Register (BR), which generally includes all employing units and those enterprises with GST turnover greater than $30,000 per year.

For further information: https://www.stats.govt.nz/information-releases/new-zealand-business-demography-statistics-at-february-2020

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Statistical geography

This dataset provides data for the SA2 geography (SA22020_V1_00). Names are provided with and without tohutō/macrons. The name field without macrons is suffixed ‘ascii’. Data for earlier years is available in NZ.Stat– see Geographic units by industry and statistical area 2000-2020.

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Geographic units

The geographic unit represents a business location engaged in one, or predominantly one, kind of economic activity at a single physical site or base (e.g. a factory, a farm, a shop, an office). Geographic units are unique to enterprises and an enterprise unit can have one or many geographic units (business locations). Typically, an enterprise unit only has a single geographic unit, unless the enterprise has paid employees who permanently work at more than one location. Geographic units can be transferred between enterprises (e.g. enterprise B purchases a factory (a geographic unit on the BR) as a going concern from enterprise A).

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Employee count data

Employee counts (ECs) are sourced from the Inland Revenue employer monthly schedule (EMS) tax form.

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Industry

The Australian and New Zealand Standard Industrial Classification (ANZSIC) 2006 is used to compile Business Demography statistics. The classification can be viewed and downloaded from Ariā.

ANZSIC 2006 divisions are:

A Agriculture, Forestry and Fishing

B Mining

C Manufacturing

D Electricity, Gas, Water and Waste Services

E Construction

F Wholesale Trade

G Retail Trade

H Accommodation and Food Services

I Transport, Postal and Warehousing

J Information Media and Telecommunications

K Financial and Insurance Services

L Rental, Hiring and Real Estate Services

M Professional, Scientific and Technical Services

N Administrative and Support Services

O Public Administration and Safety

P Education and Training

Q Health Care and Social Assistance

R Arts and Recreation Services

S Other Services

Total Industry

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Rounding

Enterprise, geographic unit, and EC counts are randomly rounded. Due to rounding, individual figures may not sum to the published totals.

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Quality limitations of fine-level data, including SA2-level data

We recommend caution when using fine-level regional and industry business demography data. The Business Register (BR) supports quality national-level and aggregate industry-level statistics but is not designed to provide quality fine-level regional or industry statistics. The BR update sources can have timing lags and less robust information for small and medium-sized enterprises. These quality weaknesses can be highlighted in fine-level business demography statistics.

For more information about data quality and available data go to DataInfo+.

For many of us, urban areas are the first thing that comes to mind when we think of spaces that have been altered by people. But, as it turns out, these mental images aren't very representative of our overall land use. In the second chapter of our Living in the Age of Humans series, the Esri Story Maps team takes a closer look at the ways Homo sapiens have modified Earth's limited land, and what implications this use has for our future.Data:NASA Blue Marble, July 2004Esri World ImageryESA CCI-LC Land Cover (2015)CIESIN Global Croplands, v1 (2000)CIESIN Global Pastures, v1 (2000)WheatMaizeRiceSoybeansForest Loss**The documentation below is in reference to this items placement in the NM Supply Chain Data Hub. The documentation is of use to understanding the source of this item, and how to reproduce it for updates**Title: The Living LandItem Type: Web Mapping Application Storymap URLSummary: A look at how humans use the Earth's limited land space.Notes: Prepared by: Uploaded by EMcRae_NMCDCSource: Copy of this original map product: https://nmcdc.maps.arcgis.com/home/item.html?id=d29065c5443f4d008e7d7e181e54b05dFeature Service: https://nmcdc.maps.arcgis.com/home/item.html?id=8a16839162554968ac6d2cf0513bcefaUID: 26Data Requested: Ag CensusMethod of Acquisition: Living AtlasDate Acquired: 5/2022Priority rank as Identified in 2022 (scale of 1 being the highest priority, to 11 being the lowest priority): 8Tags: PENDING

New Zealand NZ: Imports: % of Goods Imports: Agricultural Raw Materials data was reported at 0.742 % in 2017. This records a decrease from the previous number of 0.838 % for 2016. New Zealand NZ: Imports: % of Goods Imports: Agricultural Raw Materials data is updated yearly, averaging 1.198 % from Dec 1964 (Median) to 2017, with 54 observations. The data reached an all-time high of 3.528 % in 1964 and a record low of 0.611 % in 2010. New Zealand NZ: Imports: % of Goods Imports: Agricultural Raw Materials data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s New Zealand – Table NZ.World Bank.WDI: Imports. Agricultural raw materials comprise SITC section 2 (crude materials except fuels) excluding divisions 22, 27 (crude fertilizers and minerals excluding coal, petroleum, and precious stones), and 28 (metalliferous ores and scrap).; ; World Bank staff estimates through the WITS platform from the Comtrade database maintained by the United Nations Statistics Division.; Weighted average; Merchandise import shares may not sum to 100 percent because of unclassified trade.

New Zealand NZ: Exports: % of Goods Exports: Agricultural Raw Materials data was reported at 12.107 % in 2017. This records a decrease from the previous number of 12.384 % for 2016. New Zealand NZ: Exports: % of Goods Exports: Agricultural Raw Materials data is updated yearly, averaging 18.805 % from Dec 1964 (Median) to 2017, with 54 observations. The data reached an all-time high of 42.772 % in 1964 and a record low of 8.825 % in 2008. New Zealand NZ: Exports: % of Goods Exports: Agricultural Raw Materials data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s New Zealand – Table NZ.World Bank.WDI: Exports. Agricultural raw materials comprise SITC section 2 (crude materials except fuels) excluding divisions 22, 27 (crude fertilizers and minerals excluding coal, petroleum, and precious stones), and 28 (metalliferous ores and scrap).; ; World Bank staff estimates through the WITS platform from the Comtrade database maintained by the United Nations Statistics Division.; Weighted average; Merchandise export shares may not sum to 100 percent because of unclassified trade.

Exports in New Zealand decreased to 7680 NZD Million in May from 7700 NZD Million in April of 2025. This dataset provides the latest reported value for - New Zealand Exports - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.