New Zealand Household Economic Survey: Average Weekly Household Expenditure: Food: Restaurant Meals and Ready-to-Eat Food data was reported at 62.500 NZD in 2016. This records an increase from the previous number of 48.700 NZD for 2013. New Zealand Household Economic Survey: Average Weekly Household Expenditure: Food: Restaurant Meals and Ready-to-Eat Food data is updated yearly, averaging 45.900 NZD from Jun 2007 (Median) to 2016, with 4 observations. The data reached an all-time high of 62.500 NZD in 2016 and a record low of 37.800 NZD in 2007. New Zealand Household Economic Survey: Average Weekly Household Expenditure: Food: Restaurant Meals and Ready-to-Eat Food data remains active status in CEIC and is reported by Statistics New Zealand. The data is categorized under Global Database’s New Zealand – Table NZ.H010: Household Economic Survey: Average Weekly Household Expenditure.

This layer provides all authoritative bearing and distance survey observations which form part of the cadastral survey dataset

Only observations that have been captured in Landonline are available. This includes observations that were re-captured in the Survey Capture Areas from survey plans lodged prior to Landonline and all survey observations since.

Individual cadastral surveys will commonly re-measure or re-use cadastral lines. Often they will be the same, however as the accuracy capability has increased over time, differences between 'old' and 'new' observations are more likely. Thus all survey observations include the reference to the survey plan.

This dataset only contains right-line survey observations. A small fraction of the total number of survey observations are defined as arcs and are provided via the Survey Arc Chords layer.

New Zealand Household Economic Survey: Average Weekly Household Expenditure: Clothing and Footwear: Clothing: Women's Clothing data was reported at 12.900 NZD in 2016. This records an increase from the previous number of 9.600 NZD for 2013. New Zealand Household Economic Survey: Average Weekly Household Expenditure: Clothing and Footwear: Clothing: Women's Clothing data is updated yearly, averaging 9.750 NZD from Jun 2001 (Median) to 2016, with 6 observations. The data reached an all-time high of 12.900 NZD in 2016 and a record low of 8.600 NZD in 2001. New Zealand Household Economic Survey: Average Weekly Household Expenditure: Clothing and Footwear: Clothing: Women's Clothing data remains active status in CEIC and is reported by Statistics New Zealand. The data is categorized under Global Database’s New Zealand – Table NZ.H010: Household Economic Survey: Average Weekly Household Expenditure.

This layer provides metadata about cadastral surveys along with reference points indicating the location of the survey.

A cadastral survey determines and describes the spatial extent (including boundaries) of interest of land within New Zealand. Each survey is allocated a unique reference number (that prior to Landonline included reference to the land district.

This data provides details that identify the type of survey, the purpose, description and key dates relating to the survey.

Measuring inequality for disabled New Zealanders: 2018 brings together data from three Stats NZ surveys to explore differences between the lives of disabled and non-disabled people in Aotearoa.

The goal of government policy and international agreements about disability is the improvement of disabled people’s lives. Monitoring the difference between disabled and non-disabled people in a consistent way, and over a wide range of outcomes, is a key step towards achieving this goal.

New Zealand Household Economic Survey: Average Weekly Household Expenditure: Transport: Passenger Transport data was reported at 52.300 NZD in 2016. This records an increase from the previous number of 27.700 NZD for 2013. New Zealand Household Economic Survey: Average Weekly Household Expenditure: Transport: Passenger Transport data is updated yearly, averaging 25.900 NZD from Jun 2007 (Median) to 2016, with 4 observations. The data reached an all-time high of 52.300 NZD in 2016 and a record low of 21.200 NZD in 2007. New Zealand Household Economic Survey: Average Weekly Household Expenditure: Transport: Passenger Transport data remains active status in CEIC and is reported by Statistics New Zealand. The data is categorized under Global Database’s New Zealand – Table NZ.H010: Household Economic Survey: Average Weekly Household Expenditure.

New Zealand Household Economic Survey: Number of Households data was reported at 1,994.000 Unit th in 2024. This records an increase from the previous number of 1,952.700 Unit th for 2023. New Zealand Household Economic Survey: Number of Households data is updated yearly, averaging 1,681.000 Unit th from Jun 2007 (Median) to 2024, with 18 observations. The data reached an all-time high of 1,994.000 Unit th in 2024 and a record low of 1,560.800 Unit th in 2007. New Zealand Household Economic Survey: Number of Households data remains active status in CEIC and is reported by Stats NZ. The data is categorized under Global Database’s New Zealand – Table NZ.H026: Annual Household Income.

New Zealand Household Economic Survey: Average Weekly Household Expenditure: Clothing and Footwear: Clothing: Clothing Services data was reported at 0.900 NZD in 2016. This records an increase from the previous number of 0.700 NZD for 2013. New Zealand Household Economic Survey: Average Weekly Household Expenditure: Clothing and Footwear: Clothing: Clothing Services data is updated yearly, averaging 0.800 NZD from Jun 2001 (Median) to 2016, with 6 observations. The data reached an all-time high of 1.100 NZD in 2001 and a record low of 0.700 NZD in 2013. New Zealand Household Economic Survey: Average Weekly Household Expenditure: Clothing and Footwear: Clothing: Clothing Services data remains active status in CEIC and is reported by Statistics New Zealand. The data is categorized under Global Database’s New Zealand – Table NZ.H010: Household Economic Survey: Average Weekly Household Expenditure.

The National Vegetation Survey Databank (NVS) is a physical archive and electronic databank containing records of over 121,000 vegetation survey plots - including data from over 25,000 permanent plots. These data can be explored online as well as requested for download. NVS provides a unique record, spanning more than 70 years, of indigenous and exotic plants in New Zealand's terrestrial ecosystems, from Northland to Stewart Island and the Kermadec and Chatham islands. A broad range of habitats are covered, with special emphasis on indigenous forests and grasslands. The physical archive includes plot sheets, maps, and photographs from many years of vegetation surveys.

This data is 479 New Zealand students surveyed as part of Anran Zhao's PhD dissertation at the University of Auckland, supervised by Gavin and Kane. This file contains responses for the SCoA using variable codes specified by Brown and Effort and Motivation variables described in Anrans' thesis.

Dataset contains counts and measures for individuals from the 2013, 2018, and 2023 Censuses. Data is available by statistical area 2.

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The variables included in this dataset are for the census usually resident population count (unless otherwise stated). All data is for level 1 of the classification.

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The variables for part 2 of the dataset are:

• Individual home ownership for the census usually resident population count aged 15 years and over
• Usual residence 1 year ago indicator
• Usual residence 5 years ago indicator
• Years at usual residence
• Average years at usual residence
• Years since arrival in New Zealand for the overseas-born census usually resident population count
• Average years since arrival in New Zealand for the overseas-born census usually resident population count
• Study participation
• Main means of travel to education, by usual residence address for the census usually resident population who are studying
• Main means of travel to education, by education address for the census usually resident population who are studying
• Highest qualification for the census usually resident population count aged 15 years and over
• Post-school qualification in New Zealand indicator for the census usually resident population count aged 15 years and over
• Highest secondary school qualification for the census usually resident population count aged 15 years and over
• Post-school qualification level of attainment for the census usually resident population count aged 15 years and over
• Sources of personal income (total responses) for the census usually resident population count aged 15 years and over
• Total personal income for the census usually resident population count aged 15 years and over
• Median ($) total personal income for the census usually resident population count aged 15 years and over
• Work and labour force status for the census usually resident population count aged 15 years and over
• Job search methods (total responses) for the unemployed census usually resident population count aged 15 years and over
• Status in employment for the employed census usually resident population count aged 15 years and over
• Unpaid activities (total responses) for the census usually resident population count aged 15 years and over
• Hours worked in employment per week for the employed census usually resident population count aged 15 years and over
• Average hours worked in employment per week for the employed census usually resident population count aged 15 years and over
• Industry, by usual residence address for the employed census usually resident population count aged 15 years and over
• Industry, by workplace address for the employed census usually resident population count aged 15 years and over
• Occupation, by usual residence address for the employed census usually resident population count aged 15 years and over
• Occupation, by workplace address for the employed census usually resident population count aged 15 years and over
• Main means of travel to work, by usual residence address for the employed census usually resident population count aged 15 years and over
• Main means of travel to work, by workplace address for the employed census usually resident population count aged 15 years and over
• Sector of ownership for the employed census usually resident population count aged 15 years and over
• Individual unit data source.

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Download lookup file from Stats NZ ArcGIS Online or embedded attachment in Stats NZ geographic data service. Download data table (excluding the geometry column for CSV files) using the instructions in the Koordinates help guide.

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Footnotes

Te Whata

Under the Mana Ōrite Relationship Agreement, Te Kāhui Raraunga (TKR) will be publishing Māori descent and iwi affiliation data from the 2023 Census in partnership with Stats NZ. This will be available on Te Whata, a TKR platform.

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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), while the 2013 Census used a full-field enumeration methodology (with no use of administrative data).

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Study participation time series

In the 2013 Census study participation was only collected for the census usually resident population count aged 15 years and over.

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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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Concept descriptions and quality ratings

Data quality ratings for 2023 Census variables has additional details about variables found within totals by topic, for example, definitions and data quality.

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Disability indicator

This data should not be used as an official measure of disability prevalence. Disability prevalence estimates are only available from the 2023 Household Disability Survey. Household Disability Survey 2023: Final content has more information about the survey.

Activity limitations are measured using the Washington Group Short Set (WGSS). The WGSS asks about six basic activities that a person might have difficulty with: seeing, hearing, walking or climbing stairs, remembering or concentrating, washing all over or dressing, and communicating. A person was classified as disabled in the 2023 Census if there was at least one of these activities that they had a lot of difficulty with or could not do at all.

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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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Measures

Measures like averages, medians, and other quantiles are calculated from unrounded counts, with input noise added to or subtracted from each contributing value during measures

This dataset contains counts and rates of young people aged 15–24 years who were not in employment, education, or training (NEET) during the 2015 calendar year. The report containing maps of this data can be found at www.stats.govt.nz/about_us/what-we-do/partnerships.... The data was provided by the Integrated Data Infrastructure (IDI) which brings together a wide range of data from government administrative sources and surveys. Disclaimer Any person who has had access to the unit-record data has certified that they have been shown, have read, and have understood section 81 of the Tax Administration Act 1994, which relates to secrecy. Access to the anonymised data used in this study was provided by Stats NZ in accordance with security and confidentiality provisions of the Statistics Act 1975. Only people authorised by the Statistics Act 1975 are allowed to see data about a particular person, household, business and or organisation and the results in these tables have been confidentialised to protect these groups from identification. Careful consideration has been given to the privacy, security and confidentiality issues associated with using administrative and survey data in the IDI. Any person who has had access to the unit-record data has certified that they have been shown, have read, and have understood section 81 of the Tax Administration Act 1994, which relates to secrecy. Any discussion of data limitations or weaknesses is in the context of using the IDI for statistical purposes, and is not related to the data's ability to support Inland Revenue's core operational requirements. Values of -999 are supressed to protect confidentiality. Citation Stats NZ (2017). Otago youth not in employment, education, or training (NEET): Collaborative research between Stats NZ Methodist Mission Southern using integrated data. Retrieved from www.stats.govt.nz.

Includes waterbody survey names, waterbody survey GPS coordinates, snail sample review, and survey location notes. This data and metadata were submitted by California Department of Fish and Wildlife (CDFW) Staff though the Data Management Plan (DMP) framework with the id: DMP000601. For more information, please visit https://wildlife.ca.gov/Data/Sci-Data.

The NZ Elevation Survey Index dataset provides an index to all LiDAR derived elevation datasets found on the LINZ Data Service. Each record in the dataset provides both a geometry of the extent of the elevation survey, as well as useful metadata attributes. The extents are derived from the maximum extent of DEM and DSM coverage and consist of full NZTopo50 1k tiles, even where a tile is only partially covered with data. These extents only provide a rough indication of corresponding point cloud coverage which can be quite different for some elevation surveys.

Please refer to the NZ Aerial Surveys Data Dictionary for detailed metadata and information about this dataset.

The elevation data referenced by this dataset is available on the LINZ Data Service.

These data were derived as part of a case-study, which aimed to give a broad range of stakeholders involved in managing New Zealands agricultural landscape a voice in setting farmland biodiversity priorities that reflect the biodiversity outcomes that matter most to them and the management practices they consider most relevant to achieving those outcomes. This priority-setting process represented the first step in the development of an evidence-based tool for biodiversity assessments on New Zealand farms. For more information see: MacLeod, CJ, Brandt, A.J., Collins, K. & Dicks, LV (in press) Giving stakeholders a voice in governance: biodiversity priorities for New Zealands agriculture. People and Nature

New Zealand Household Economic Survey: Average Weekly Household Expenditure: Recreation and Culture: Others data was reported at 25.400 NZD in 2016. This records an increase from the previous number of 20.500 NZD for 2013. New Zealand Household Economic Survey: Average Weekly Household Expenditure: Recreation and Culture: Others data is updated yearly, averaging 20.300 NZD from Jun 2007 (Median) to 2016, with 4 observations. The data reached an all-time high of 25.400 NZD in 2016 and a record low of 18.900 NZD in 2007. New Zealand Household Economic Survey: Average Weekly Household Expenditure: Recreation and Culture: Others data remains active status in CEIC and is reported by Statistics New Zealand. The data is categorized under Global Database’s New Zealand – Table NZ.H010: Household Economic Survey: Average Weekly Household Expenditure.

The 2024 Agriculture Production Survey is part of an ongoing programme of agricultural production statistics conducted in partnership with the Ministry for Primary Industries. Previous sample surveys were held in 2003–06, 2008–11, 2013–16, 2018–2021 and 2023 with censuses in 2002, 2007, 2012, 2017 and 2022. Agriculture Production Survey measures farming operations below the enterprise level.

This table is used to describe the many to many relationship between surveys and parcels. This is a table to link NZ Survey Plans data with spatial parcel layers such as NZ Parcels, NZ Linear Parcels or NZ Primary Parcels.

An affected parcel is a parcel which is affected by the approval of a survey dataset. A parcel may be affected, created or extinguished. For example, a survey can affect extinguish parcels by rendering them historical and at the same time may create new parcels (subdivision). Parcels may be affected by a survey but remain current (definition of an easement etc).

For more information about this table and other tables and layers that make up this dataset refer to the support documentation.

New Zealand Household Economic Survey: Average Weekly Household Expenditure: Household Contents and Services: Glassware, Tableware and Household Utensils data was reported at 4.700 NZD in 2016. This records an increase from the previous number of 3.600 NZD for 2013. New Zealand Household Economic Survey: Average Weekly Household Expenditure: Household Contents and Services: Glassware, Tableware and Household Utensils data is updated yearly, averaging 3.550 NZD from Jun 2007 (Median) to 2016, with 4 observations. The data reached an all-time high of 4.700 NZD in 2016 and a record low of 2.900 NZD in 2007. New Zealand Household Economic Survey: Average Weekly Household Expenditure: Household Contents and Services: Glassware, Tableware and Household Utensils data remains active status in CEIC and is reported by Statistics New Zealand. The data is categorized under Global Database’s New Zealand – Table NZ.H010: Household Economic Survey: Average Weekly Household Expenditure.

This layer provides survey mark information for marks that are not part of a parcel

A non-boundary mark is any survey mark that is not on a boundary point. The points in this dataset represent physical survey monuments usually placed for cadastral requirements. The data set also includes geodetic marks. Non-boundary marks now enter the Landonline system predominately as part of a cadastral survey dataset (plan) and occasionally via the geodetic processes. For Cadastral marks (i.e.the majority) its name consists of a mark type and number (and is unique to that survey), followed by the ‘plan’ number e.g. IS I DP 3456; IS II DP3456.

Note: Non-boundary marks used to connect cadastral surveys to the geodetic network are those of 6th order (or better) and this subset is available as the NZ Cadastral Survey Network Marks layer.

This dataset extends the Landonline stored data by including the network accuracy which is based upon its assigned Landonline order - refer LINZS25006 (https://www.linz.govt.nz/resources/regulatory/standard-tiers-classes-and-orders-linz-data-linzs25006?document=256).

The accuracy provided relates to the accuracy of coordinates of the mark and has little relevance to the accuracy of the boundary in relation to other boundaries. For example, if the coordinates of the mark were used to locate it, a user would expect to find the existing mark within the accuracy (distance) stated.