73 datasets found
  1. S

    2023 Census totals by topic for individuals by statistical area 1 – part 2

    • datafinder.stats.govt.nz
    csv, dwg, geodatabase +6
    Updated Dec 9, 2024
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    Stats NZ (2024). 2023 Census totals by topic for individuals by statistical area 1 – part 2 [Dataset]. https://datafinder.stats.govt.nz/layer/120792-2023-census-totals-by-topic-for-individuals-by-statistical-area-1-part-2/
    Explore at:
    csv, shapefile, pdf, geodatabase, kml, geopackage / sqlite, mapinfo tab, mapinfo mif, dwgAvailable download formats
    Dataset updated
    Dec 9, 2024
    Dataset provided by
    Statistics New Zealandhttp://www.stats.govt.nz/
    Authors
    Stats NZ
    License

    https://datafinder.stats.govt.nz/license/attribution-4-0-international/https://datafinder.stats.govt.nz/license/attribution-4-0-international/

    Area covered
    Description

    Dataset contains counts and measures for individuals from the 2013, 2018, and 2023 Censuses. Data is available by statistical area 1.

    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.

    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.

    Download lookup file for part 2 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.

    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.

    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.

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

    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.

    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.

    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.

    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.

    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.

    Measures

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

  2. a

    NZ Grid 250m Estimated Resident Population

    • hub.arcgis.com
    Updated Sep 16, 2024
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    Statistics New Zealand (2024). NZ Grid 250m Estimated Resident Population [Dataset]. https://hub.arcgis.com/datasets/fc42fb7eb85842c9859cdd373528b475
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    Dataset updated
    Sep 16, 2024
    Dataset authored and provided by
    Statistics New Zealand
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Description

    A 250 metre population grid using the Estimated Resident Populations (ERP) published annually, dated as at 30 June. Population estimates by Statistical Area 1s (SA1s) are used as an input to derive population grids. These estimates are not official statistics. They are derived as a customised dataset used to produce the population grids. This is one of three resolutions of the national statistical grid; 1 kilometre, 500 metres and 250 metres, where the distance is the length of one side of the square grid cell. The dataset contains the following estimated resident populations based on 2018 Census results and estimated population change since then: Population Estimate 2023 – subnational population estimates at 30 June 2023 published in October 2023, based on 2018 Census results. Population Estimate 2022 – subnational population estimates at 30 June 2022 published in October 2022, based on 2018 Census results. The Estimated Resident Population (ERP) by Statistical Area 1 (SA1), rounded to the nearest 10, was proportionally divided between private and some non-private dwelling point locations from the Stats NZ Statistical Location Register. The dwellings were spatially joined to the SA1 to calculate the number of dwellings within each SA1. The SA1 ERP divided by the number of dwellings gave the number of people per dwelling for each SA1. The people per dwelling was spatially joined back to the dwelling dataset then spatially joined to the grid with the option chosen to sum the dwelling population within each grid cell. The estimated resident population of an area in New Zealand is an estimate of all people who usually live in that area at a given date. It includes all residents present in New Zealand and counted by the census, residents who are temporarily elsewhere in New Zealand and counted by the census, residents who are temporarily overseas (who are not included in the census), and an adjustment for residents missed or counted more than once by the census (net census undercount). Visitors from elsewhere in New Zealand and from overseas are excluded. Population estimates by SA1s are used as an input to derive population grids. These estimates are not official statistics. They’re derived as a customised dataset used to produce the population grids. Population estimates from 2022 and 2023 use 2018 Census data and will be revised in 2025, after 2023 Census data is available. Changes to the ERP figures for a grid cell between years, are due to either: estimated change to the residential population for an area or the following methodological factors may also increase or decrease the population estimate assigned to each grid cell; five yearly changes to the SA1 boundaries to which the ERP figures are assigned. Between 2022 and 2023, non populated areas were separated from some SA1s, resulting in fewer grid cells being populated. Changes to SA1 boundaries are designed to ensure they incorporate areas of new development, maintain the urban-rural delineation, and meet population criteria. changes to the dwelling dataset. This is the production version of a new dataset published in November 2023. The prototype version was released in October 2022 for feedback. Since the November 2023 release, population estimate field names have been updated to remove acronyms and population estimates have been reduced to two decimal places.Download the full 250m grid framework from Datafinder.

  3. T

    New Zealand Coronavirus COVID-19 Cases

    • tradingeconomics.com
    csv, excel, json, xml
    Updated May 23, 2023
    + more versions
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    TRADING ECONOMICS (2023). New Zealand Coronavirus COVID-19 Cases [Dataset]. https://tradingeconomics.com/new-zealand/coronavirus-cases
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    json, excel, xml, csvAvailable download formats
    Dataset updated
    May 23, 2023
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jan 4, 2020 - May 17, 2023
    Area covered
    New Zealand
    Description

    New Zealand recorded 2282861 Coronavirus Cases since the epidemic began, according to the World Health Organization (WHO). In addition, New Zealand reported 2792 Coronavirus Deaths. This dataset includes a chart with historical data for New Zealand Coronavirus Cases.

  4. S

    2023 Census internal migration by TALB

    • datafinder.stats.govt.nz
    csv, dbf (dbase iii) +4
    Updated Mar 7, 2023
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    Stats NZ (2023). 2023 Census internal migration by TALB [Dataset]. https://datafinder.stats.govt.nz/table/122425-2023-census-internal-migration-by-talb/
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    csv, geodatabase, mapinfo tab, mapinfo mif, geopackage / sqlite, dbf (dbase iii)Available download formats
    Dataset updated
    Mar 7, 2023
    Dataset provided by
    Statistics New Zealandhttp://www.stats.govt.nz/
    Authors
    Stats NZ
    License

    https://datafinder.stats.govt.nz/license/attribution-4-0-international/https://datafinder.stats.govt.nz/license/attribution-4-0-international/

    Description

    Dataset contains counts for territorial authority local board area (TALB) of usual residence by TALB of usual residence address one year ago and five years ago, and by life cycle age group, for the census usually resident population count, 2023 Census.

    This dataset compares usual residence at the 2023 Census with usual residence one and five years earlier to show population mobility and internal migration patterns of people within New Zealand.

    ‘Usual residence address’ is the address of the dwelling where a person considers that they usually live.

    ‘Usual residence one year ago address’ identifies an individual’s usual residence on 7 March 2022, which may be different to their current usual residence on census night 2023 (7 March 2023).

    ‘Usual residence five years ago address’ identifies an individual’s usual residence on 6 March 2018, which may be different to their current usual residence on census night 2023 (7 March 2023).

    Note: This dataset only includes usual residence address information for individuals whose usual residence address one year ago and five years ago is available at TALB.

    Life cycle age groups are categorised as:

    • under 15 years
    • 15–29 years
    • 30–64 years
    • 65 years and over.

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

    Footnotes

    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.

    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. 

    Rows excluded from the dataset

    Rows show TALB of usual residence by TALB of usual residence one year ago and five years ago, by life cycle age group. Cells with a number less than six have been confidentialised. Responses to categories unable to be mapped, such as response unidentifiable, not stated, and Auckland (not further defined), have also been excluded from this dataset.

    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 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.

    Age quality rating

    Age is rated as very high quality.

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

    Census usually resident population quality rating

    The census usually resident population count is rated as very high quality.

    Census usually resident population count – 2023 Census: Information by concept has more information, for example, definitions and data quality.

    Usual residence address quality rating

    Usual residence address is rated as high quality.

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

    Usual residence one year ago quality rating

    Usual residence one year ago area is rated as high quality.

    Usual residence one year ago – 2023 Census: Information by concept has more information, for example, definitions and data quality.

    Usual residence five years ago quality rating

    Usual residence five years ago area is rated as high quality.

    Usual residence five years ago – 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.

    Symbol

    -999 Confidential

    Inconsistencies in definitions

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

  5. d

    Estimated Resident Population at 30 June 2018 by Territorial Authority and...

    • catalogue.data.govt.nz
    • datafinder.stats.govt.nz
    csv, dwg, filegdb +6
    Updated Sep 21, 2020
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    Stats NZ (2020). Estimated Resident Population at 30 June 2018 by Territorial Authority and Auckland Local Boards [Dataset]. https://catalogue.data.govt.nz/dataset/activity/estimated-resident-population-at-30-june-2018-by-territorial-authority-and-auckland-local-board
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    mapinfo file, shp, mapinfo mif, filegdb, csv, dwg, kml, gpkg, pdfAvailable download formats
    Dataset updated
    Sep 21, 2020
    Dataset provided by
    Statistics New Zealandhttp://www.stats.govt.nz/
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Auckland
    Description

    This dataset contains information on:

    · Estimated resident population (ERP) at 30 June 1996, 2001, 2006, 2013, and 2018 for total population

    · ERP at 30 June 2018 by ethnic groups (European or Other (including New Zealander), Māori, Pacific, Asian, and Middle Eastern/Latin American/African) – estimates and percentage

    · Sex ratio – number of males per 100 females

    · ERP at 30 June 2018 by broad age groups and median age

    · Geographies available are regional council areas, territorial authority and Auckland local board areas, Statistical Area 2, and urban rural.

    Note: The geography corresponds to 2020 boundaries

    Note: -999 indicates data are not available.

    About the estimated resident population

    The estimated resident population at 30 June in the census year is based on the census usually resident population count, with updates for:

    · net census undercount (as measured by a post-enumeration survey)

    · residents temporarily overseas on census night

    · births, deaths and net migration between census night and 30 June

    · reconciliation with demographic estimates at the youngest ages.

    The estimated resident population is not directly comparable with the census usually resident population count because of these adjustments.

    For more detailed information about the methods used to calculate each base population, see DataInfo+ Demographic estimates.

    Ethnic groups

    It is important to note that these ethnic groups are not mutually exclusive because people can and do identify with more than one ethnicity. People who identify with more than one ethnicity have been included in each ethnic group.

    The 'Māori', 'Pacific', 'Asian' and 'Middle Eastern/Latin American/African' ethnic groups are defined in level 1 of the Ethnicity New Zealand Standard Classification 2005. The estimates for the 'European or Other (including New Zealander)' group include people who belong to the 'European' or 'Other ethnicity' groups defined in level 1 of the standard classification. If a person belongs to both the 'European' and 'Other ethnicity' groups they have only been counted once. Almost all people in the 'Other ethnicity' group belong to the 'New Zealander' sub-group.

    Time series

    This time series is irregular. Because the 2011 Census was cancelled after the Canterbury earthquake on 22 February 2011, the gap between the 2006-base and 2013-base estimated resident population is seven years. The change in data between 2006 and 2013 may be greater than in the usual five-year gap between censuses. Be careful when comparing trends.

    Rounding

    Individual figures may not sum to stated totals due to rounding.

    More information

    See Estimated resident population (2018-base): At 30 June 2018 for commentary about the 2018 ERP.

    Subnational population estimates concepts – DataInfo+ provides definitions of terms used in the map.

    Access more population estimates data in NZ.Stat:

    Theme: Population estimates.

  6. Data from: Geographic Classification for Health - Concordance Files

    • figshare.com
    • ourarchive.otago.ac.nz
    txt
    Updated May 30, 2023
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    Jesse Whitehead; Gabrielle Davie; Brandon de Graaf; Sue Crengle; David Fearnley; Michelle Smith; Ross Lawrenson; Garry Nixon (2023). Geographic Classification for Health - Concordance Files [Dataset]. http://doi.org/10.6084/m9.figshare.22728851.v1
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    txtAvailable download formats
    Dataset updated
    May 30, 2023
    Dataset provided by
    Figsharehttp://figshare.com/
    Authors
    Jesse Whitehead; Gabrielle Davie; Brandon de Graaf; Sue Crengle; David Fearnley; Michelle Smith; Ross Lawrenson; Garry Nixon
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    These datasets are concordance files that link the Geographic Classification for Health (GCH) to statistical geographies and geographic units commonly used in health research and analysis in Aotearoa New Zealand (NZ). More information about the develppment of the GCH is available in our Open Access publication. Our long-term aim is the comprehensive and accurate understanding of urban-rural variation in health outcomes and healthcare utilization at both national and regional levels. This is best achieved by the widespread uptake of the GCH by health researchers and health policy makers. The GCH is straightforward to use and most users will only need the relevant concordance file.
    Statistical Area 1s (SA1s, small statistical areas which are the output geography for population data) were used as the building blocks for the Geographic Classification for Health (GCH) and are the preferred small areas when undertaking the analysis of health data using the GCH. It is however appreciated that a lot of health data is not available at the SA1 level and GCH concordance files are also available for Domicile (Census Area Units, CAU) and Statistical Area 2s (SA2) and Meshblock. The following concordance files are available in excel format:

    SA12018_to_GCH2018.csv This concordance file applies a GCH category to each SA1 in NZ SA22018_to_GCH2018.csv This concordance file applies a GCH category to each SA2 in NZ MoH_HDOM_to_GCH2018.csv This concordance file applies a GCH category to each Domicile in NZ. Please read the additional information below if you plan to use this concordance file. MoH_MB_to_GCH2018.csv This concordance file applies a GCH category to each Meshblock in NZ. Please read the additional information below if you plan to use this concordance file.

    Additional information relating to geographic units used by the Ministry of Health:

    MoH_HDOM_to_GCH2018.csv This file has been designed specifically to add GCH to the Ministry of Health (MoH) datasets containing Domicile codes. Use this file if your dataset contains only Domicile codes. If your dataset also contains Meshblock codes, then use the MoH Meshblock to GCH concordance file. This file includes 2006 and 2013 domicile codes. The 2013 domiciles are still current as of 2022, and this file will still work well with data outside those years. Domicile boundaries do not align well with SA1 boundaries, and longitudinal health data usually contains some older Domiciles which have been phased out and replaced with multiple smaller Domiciles. These deprecated Domiciles may overlap multiple SA1s. Usually, all such SA1s belong to the same GCH category. Occasionally, a Domicile will overlap more than one GCH category. When this happens, we have assigned the GCH category to which the majority of people living in that Domicile belong. By necessity, this will allocate a minority of people in those Domiciles to a GCH category to which they do not belong.
    MoH_MB_to_GCH2018.csv This file has been designed specifically to add GCH to Ministry of Health (MoH) datasets containing Meshblock codes. This file includes 2018, 2013, 2006, and 2001 Meshblock codes, but will still work well with data outside those years. Meshblock boundaries from census 2018 fit perfectly and completely within the Statistics New Zealand Statistical Area 1s (SA1) boundaries on which GCH is based. However, longitudinal health data usually contains some older Meshblocks which have been phased out and replaced by multiple smaller Meshblocks. These deprecated Meshblocks may overlap multiple SA1s. Usually, all such SA1s belong to the same GCH category. Occasionally, a Meshblock will overlap more than one GCH category. When this happens, we have assigned the GCH category to which the majority of people living in that Meshblock belong. By necessity, this will allocate a minority of people in those Meshblocks to a GCH category to which they do not belong.

  7. A

    ‘New Zealand Migration’ analyzed by Analyst-2

    • analyst-2.ai
    Updated Feb 13, 2022
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    Analyst-2 (analyst-2.ai) / Inspirient GmbH (inspirient.com) (2022). ‘New Zealand Migration’ analyzed by Analyst-2 [Dataset]. https://analyst-2.ai/analysis/kaggle-new-zealand-migration-652a/39bb1cbd/?iid=003-374&v=presentation
    Explore at:
    Dataset updated
    Feb 13, 2022
    Dataset authored and provided by
    Analyst-2 (analyst-2.ai) / Inspirient GmbH (inspirient.com)
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    New Zealand
    Description

    Analysis of ‘New Zealand Migration’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://www.kaggle.com/timoboz/migration-nz on 13 February 2022.

    --- Dataset description provided by original source is as follows ---

    Context

    **This dataset shows the migration to and from New Zealand by country and citizenship from 1979 to 2016. **

    Content

    The columns in this dataset are:

    • Measure: The signal type given in this row, one of: "Arrivals", "Departures", "Net"
    • Country: Country from where people arrived into to New Zealand (for Measure = "Arrivals") or to where they left (for Measure = "Departures"). Contains special values "Not Stated" and "All countries" (grand total)
    • Citizenship: Citizenship of the migrants, one of: "New Zealand Citizen", "Australian Citizen", "Total All Citizenships"
    • Year: Year of the measurement
    • Value: Number of migrants

    Permanent and long-term arrivals include overseas migrants who arrive in New Zealand intending to stay for a period of 12 months or more (or permanently), plus New Zealand residents returning after an absence of 12 months or more. Permanent and long-term departures include New Zealand residents departing for an intended period of 12 months or more (or permanently), plus overseas visitors departing New Zealand after a stay of 12 months or more. For arrival series, the country of residence is the country where a person arriving in New Zealand last lived for 12 months or more (country of last permanent residence). For departure series, the country of residence is the country where a person departing New Zealand intends to live for the next 12 months or more (country of next permanent residence).

    Acknowledgements

    Curated data by figure.nz, original data from Stats NZ. Dataset licensed under Creative Commons 4.0 - CC BY 4.0.

    Inspiration

    A good challenge would be to explain New Zealand migration flows as a function of the economic performance of New Zealand or other countries (combine with other datasets). The data could be possibly linked up with other data sources to predict general migration to/from countries based on external factors.

    --- Original source retains full ownership of the source dataset ---

  8. a

    2023 Census population change by age group and RC

    • maps-by-statsnz.hub.arcgis.com
    Updated May 29, 2024
    + more versions
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    Statistics New Zealand (2024). 2023 Census population change by age group and RC [Dataset]. https://maps-by-statsnz.hub.arcgis.com/maps/b20dc2acba8247f0b2924befe4082283
    Explore at:
    Dataset updated
    May 29, 2024
    Dataset authored and provided by
    Statistics New Zealandhttp://www.stats.govt.nz/
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Description

    The life-cycle age groups are:under 15 years15 to 29 years30 to 64 years65 years and over.Map shows the percentage change in the census usually resident population count for life-cycle age groups between the 2018 and 2023 Censuses.Download lookup file from Stats NZ ArcGIS Online or Stats NZ geographic data service.FootnotesGeographical boundariesStatistical 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 populationThe 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. Caution using time seriesTime 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).About the 2023 Census datasetFor 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 qualityThe 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. Age concept quality ratingAge is rated as very high quality. Age – 2023 Census: Information by concept has more information, for example, definitions and data quality.Using data for goodStats 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".ConfidentialityThe 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.

  9. d

    Estimated Resident Population at 30 June 2018 by Statistical Area 2

    • catalogue.data.govt.nz
    • datafinder.stats.govt.nz
    csv, dwg, filegdb +6
    Updated Sep 21, 2020
    + more versions
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    Stats NZ (2020). Estimated Resident Population at 30 June 2018 by Statistical Area 2 [Dataset]. https://catalogue.data.govt.nz/dataset/groups/estimated-resident-population-at-30-june-2018-by-statistical-area-2
    Explore at:
    filegdb, pdf, shp, kml, gpkg, csv, mapinfo file, mapinfo mif, dwgAvailable download formats
    Dataset updated
    Sep 21, 2020
    Dataset provided by
    Statistics New Zealandhttp://www.stats.govt.nz/
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    This dataset contains information on:

    · Estimated resident population (ERP) at 30 June 1996, 2001, 2006, 2013, and 2018 for total population

    · ERP at 30 June 2018 by ethnic groups (European or Other (including New Zealander), Māori, Pacific, Asian, and Middle Eastern/Latin American/African) – estimates and percentage

    · Sex ratio – number of males per 100 females

    · ERP at 30 June 2018 by broad age groups and median age

    · Geographies available are regional council areas, territorial authority and Auckland local board areas, Statistical Area 2, and urban rural.

    Note: The geography corresponds to 2020 boundaries

    Note: -999 indicates data are not available.

    About the estimated resident population

    The estimated resident population at 30 June in the census year is based on the census usually resident population count, with updates for:

    · net census undercount (as measured by a post-enumeration survey)

    · residents temporarily overseas on census night

    · births, deaths and net migration between census night and 30 June

    · reconciliation with demographic estimates at the youngest ages.

    The estimated resident population is not directly comparable with the census usually resident population count because of these adjustments.

    For more detailed information about the methods used to calculate each base population, see DataInfo+ Demographic estimates.

    Ethnic groups

    It is important to note that these ethnic groups are not mutually exclusive because people can and do identify with more than one ethnicity. People who identify with more than one ethnicity have been included in each ethnic group.

    The 'Māori', 'Pacific', 'Asian' and 'Middle Eastern/Latin American/African' ethnic groups are defined in level 1 of the Ethnicity New Zealand Standard Classification 2005. The estimates for the 'European or Other (including New Zealander)' group include people who belong to the 'European' or 'Other ethnicity' groups defined in level 1 of the standard classification. If a person belongs to both the 'European' and 'Other ethnicity' groups they have only been counted once. Almost all people in the 'Other ethnicity' group belong to the 'New Zealander' sub-group.

    Time series

    This time series is irregular. Because the 2011 Census was cancelled after the Canterbury earthquake on 22 February 2011, the gap between the 2006-base and 2013-base estimated resident population is seven years. The change in data between 2006 and 2013 may be greater than in the usual five-year gap between censuses. Be careful when comparing trends.

    Rounding

    Individual figures may not sum to stated totals due to rounding.

    More information

    See Estimated resident population (2018-base): At 30 June 2018 for commentary about the 2018 ERP.

    Subnational population estimates concepts – DataInfo+ provides definitions of terms used in the map.

    Access more population estimates data in NZ.Stat:

    Theme: Population estimates.

  10. F

    In-Car Speech Dataset: English (New Zealand)

    • futurebeeai.com
    wav
    Updated Aug 1, 2022
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    FutureBee AI (2022). In-Car Speech Dataset: English (New Zealand) [Dataset]. https://www.futurebeeai.com/dataset/monologue-speech-dataset/in-car-speech-dataset-english-new
    Explore at:
    wavAvailable download formats
    Dataset updated
    Aug 1, 2022
    Dataset provided by
    FutureBeeAI
    Authors
    FutureBee AI
    License

    https://www.futurebeeai.com/policies/ai-data-license-agreementhttps://www.futurebeeai.com/policies/ai-data-license-agreement

    Area covered
    New Zealand
    Dataset funded by
    FutureBeeAI
    Description

    Introduction

    Welcome to the New Zealand Language In-car Speech Dataset, a comprehensive collection of audio recordings designed to facilitate the development of speech recognition models specifically tailored for in-car environments. This dataset aims to support research and innovation in automotive speech technology, enabling seamless and robust voice interactions within vehicles for drivers and co-passengers.

    Speech Data

    This dataset comprises over 5,000 high-quality audio recordings collected from various in-car environments. These recordings include scripted wake words and command-type prompts.

    Participant Diversity:
    Speakers: 50+ native New Zealand speakers from the FutureBeeAI Community.
    Regions: Ensures a balanced representation of New Zealand accents, dialects, and demographics.
    Participant Profile: Participants range from 18 to 70 years old, representing both males and females in a 60:40 ratio, respectively.
    Recording Nature: Scripted wake word and command type of audio recordings.
    Duration: Average duration of 5 to 20 seconds per audio recording.
    Formats: WAV format with mono channels, a bit depth of 16 bits. The dataset contains different data at 16kHz and 48kHz.

    Dataset Diversity

    Apart from participant diversity, the dataset is diverse in terms of different wake words, voice commands, and recording environments.

    Different Automobile Related Wake Words: Hey Mercedes, Hey BMW, Hey Porsche, Hey Volvo, Hey Audi, Hi Genesis, Hey Mini, Hey Toyota, Ok Ford, Hey Hyundai, Ok Honda, Hello Kia, Hey Dodge.
    Different Cars: Data collection was carried out in different types and models of cars.
    Different Types of Voice Commands:
    Navigational Voice Commands
    Mobile Control Voice Commands
    Car Control Voice Commands
    Multimedia & Entertainment Commands
    General, Question Answer, Search Commands
    Recording Time: Participants recorded the given prompts at various times to make the dataset more diverse.
    Morning
    Afternoon
    Evening
    Recording Environment: Various recording environments were captured to acquire more realistic data and to make the dataset inclusive of various types of noises. Some of the environment variables are as follows:
    Noise Level: Silent, Low Noise, Moderate Noise, High Noise
    Parking Location: Indoor, Outdoor
    Car Windows: Open, Closed
    Car AC: On, Off
    Car Engine: On, Off
    Car Movement: Stationary, Moving

    Metadata

    The dataset provides comprehensive metadata for each audio recording and participant:

    Participant Metadata: Unique identifier, age, gender, country, state, district, accent, and dialect.

  11. New Zealand NZ: Road Fatalities: Per One Million Inhabitants

    • ceicdata.com
    Updated Jan 15, 2025
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    CEICdata.com (2025). New Zealand NZ: Road Fatalities: Per One Million Inhabitants [Dataset]. https://www.ceicdata.com/en/new-zealand/road-traffic-and-road-accident-fatalities-oecd-member-annual/nz-road-fatalities-per-one-million-inhabitants
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    Dataset updated
    Jan 15, 2025
    Dataset provided by
    CEIC Data
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Dec 1, 2012 - Dec 1, 2023
    Area covered
    New Zealand
    Description

    New Zealand NZ: Road Fatalities: Per One Million Inhabitants data was reported at 6.529 Ratio in 2023. This records a decrease from the previous number of 7.270 Ratio for 2022. New Zealand NZ: Road Fatalities: Per One Million Inhabitants data is updated yearly, averaging 8.772 Ratio from Dec 1994 (Median) to 2023, with 30 observations. The data reached an all-time high of 16.022 Ratio in 1994 and a record low of 5.696 Ratio in 2013. New Zealand NZ: Road Fatalities: Per One Million Inhabitants data remains active status in CEIC and is reported by Organisation for Economic Co-operation and Development. The data is categorized under Global Database’s New Zealand – Table NZ.OECD.ITF: Road Traffic and Road Accident Fatalities: OECD Member: Annual. [COVERAGE] ROAD FATALITIES A road fatality is any person killed immediately or dying within 30 days as a result of an injury accident, excluding suicides. A killed person is excluded if the competent authority declares the cause of death to be suicide, i.e. a deliberate act to injure oneself resulting in death. For countries that do not apply the threshold of 30 days, conversion coefficients are estimated so that comparison on the basis of the 30-day definition can be made.

  12. Suburb Locality - Population

    • data.linz.govt.nz
    csv, dbf (dbase iii) +4
    Updated Jun 16, 2023
    + more versions
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    Land Information New Zealand (2023). Suburb Locality - Population [Dataset]. https://data.linz.govt.nz/table/113761-suburb-locality-population/
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    mapinfo mif, mapinfo tab, geopackage / sqlite, geodatabase, csv, dbf (dbase iii)Available download formats
    Dataset updated
    Jun 16, 2023
    Dataset authored and provided by
    Land Information New Zealandhttps://www.linz.govt.nz/
    License

    https://data.linz.govt.nz/license/attribution-4-0-international/https://data.linz.govt.nz/license/attribution-4-0-international/

    Description

    The Population data table is part of NZ Suburbs and Localities Dataset. This table contains the population estimate for each suburb and locality, provided by StatsNZ.

    NZ Suburbs and Localities is an easy to use layer generated from the normalised NZ Suburbs and Localities Dataset. It describes the spatial extent and name of communities in urban areas (suburbs) and rural areas (localities) for navigation and location purposes.

    The suburb and locality boundaries cover New Zealand including North Island, South Island, Stewart Island/Rakiura, Chatham Islands, and nearby offshore islands.

    Each suburb and locality is assigned a name, major name, Territorial Authority and, if appropriate, additional in use names. A population estimate is provided for each suburb and locality by Stats NZ.

    For more information please refer to the NZ Suburbs and Localities Guidance documents:

    Data Dictionary Change Request Process Change Request Principles, Requirements and Rules Changes to NZ Suburbs and Localities can be requested by emailing addresses@linz.govt.nz

  13. a

    2023 Census population change by SA2

    • maps-by-statsnz.hub.arcgis.com
    Updated Aug 2, 2024
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    Statistics New Zealand (2024). 2023 Census population change by SA2 [Dataset]. https://maps-by-statsnz.hub.arcgis.com/maps/8bcdf82a3ed241a08ac27e3600ba2b7e
    Explore at:
    Dataset updated
    Aug 2, 2024
    Dataset authored and provided by
    Statistics New Zealandhttp://www.stats.govt.nz/
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Description

    Map shows the percentage change in the census usually resident population count between the 2018 and 2023 Censuses. Download lookup file from Stats NZ ArcGIS Online or Stats NZ geographic data service.FootnotesGeographical boundariesStatistical 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 populationThe 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. 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).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 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. Census usually resident population count concept quality rating The census usually resident population count is rated as very high quality. Census usually resident population count – 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.Symbol-998 Not applicable

  14. M

    New Zealand Life Expectancy (1950-2025)

    • macrotrends.net
    csv
    Updated Jun 30, 2025
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    MACROTRENDS (2025). New Zealand Life Expectancy (1950-2025) [Dataset]. https://www.macrotrends.net/global-metrics/countries/NZL/new-zealand/life-expectancy
    Explore at:
    csvAvailable download formats
    Dataset updated
    Jun 30, 2025
    Dataset authored and provided by
    MACROTRENDS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jan 1, 1950 - Dec 31, 2025
    Area covered
    New Zealand
    Description

    Historical chart and dataset showing New Zealand life expectancy by year from 1950 to 2025.

  15. a

    2023 Census change in occupied and unoccupied private dwellings by SA2

    • maps-by-statsnz.hub.arcgis.com
    • 2023census-statsnz.hub.arcgis.com
    Updated Sep 4, 2024
    + more versions
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    Statistics New Zealand (2024). 2023 Census change in occupied and unoccupied private dwellings by SA2 [Dataset]. https://maps-by-statsnz.hub.arcgis.com/maps/69060ed28ba4470499cdea70c8c83226
    Explore at:
    Dataset updated
    Sep 4, 2024
    Dataset authored and provided by
    Statistics New Zealandhttp://www.stats.govt.nz/
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Description

    Map shows the percentage change in number of occupied and unoccupied private dwellings between the 2018 and 2023 Censuses.Download lookup file from Stats NZ ArcGIS Online or Stats NZ geographic data service.FootnotesGeographical boundariesStatistical 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. 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). 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 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. Dwelling occupancy status quality rating Dwelling occupancy status is rated as high quality. Dwelling occupancy status – 2023 Census: Information by concept has more information, for example, definitions and data quality.Dwelling type quality rating Dwelling type is rated as moderate quality. Dwelling type – 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.Symbol-998 Not applicable-999 Confidential

  16. T

    New Zealand Full Time Employment

    • tradingeconomics.com
    • fa.tradingeconomics.com
    • +13more
    csv, excel, json, xml
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    TRADING ECONOMICS, New Zealand Full Time Employment [Dataset]. https://tradingeconomics.com/new-zealand/full-time-employment
    Explore at:
    xml, json, csv, excelAvailable download formats
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Mar 31, 1986 - Mar 31, 2025
    Area covered
    New Zealand
    Description

    Full Time Employment in New Zealand decreased to 2315 Thousand in the first quarter of 2025 from 2327 Thousand in the fourth quarter of 2024. This dataset provides - New Zealand Full Time Employment- actual values, historical data, forecast, chart, statistics, economic calendar and news.

  17. Marine species citizen-science observations from NatureWatch NZ

    • obis.org
    • portal.obis.org
    zip
    Updated Dec 13, 2022
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    iNaturalist NZ (2022). Marine species citizen-science observations from NatureWatch NZ [Dataset]. https://obis.org/dataset/23c15f33-94a8-4e3e-bb76-5d5b0bf203f8
    Explore at:
    zipAvailable download formats
    Dataset updated
    Dec 13, 2022
    Dataset provided by
    iNaturalisthttp://inaturalist.org/
    National Institute for Water & Atmospheric Research
    Time period covered
    2016 - 2020
    Area covered
    New Zealand
    Description

    The world is filled with nature watchers, from trampers to hunters, birders to beach-combers, and pros to school kids. Many of us keep notes of what we find. What if all those observations could be shared online? You might learn about the butterflies that live in your neighbourhood, or discover someone who knows all about the plants in your favourite reserve. For a long time, everyone's notes have been scattered in notebooks, private spreadsheets and dusty library shelves. As a society, we have seen a lot but collectively we remain blind to most changes in our biodiversity. If enough people record their observations on NatureWatch NZ, we can change all this. We can build a living record of life in New Zealand that scientists and environmental managers can use to monitor changes in biodiversity, and that anyone can use to learn more about New Zealand's amazing natural history. Only "research-quality" observations are used in this data set - that is observations that have their species identification peer-reviewed by at least one independent source. All biodiversity observations are available at http://naturewatch.org.nz/. NatureWatch NZ is run by the New Zealand Bio-Recording Network Trust, a charitable trust dedicated to bio-recording. Our lofty aims are: (1) To increase knowledge, understanding, and appreciation of New Zealand's natural history.(2) To engage and assist New Zealanders in observing and recording biological information.(3)To develop and support online tools to assist individuals and groups to record, view, share and use biological information. (4) To collaborate with people and groups interested in bio-recording. (5) To promote and provide secure, open, and ethical sources of biological information for the public.

  18. T

    New Zealand Hospitals

    • tradingeconomics.com
    • jp.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Mar 25, 2020
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    TRADING ECONOMICS (2020). New Zealand Hospitals [Dataset]. https://tradingeconomics.com/new-zealand/hospital
    Explore at:
    json, excel, csv, xmlAvailable download formats
    Dataset updated
    Mar 25, 2020
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Dec 31, 2009 - Dec 31, 2024
    Area covered
    New Zealand
    Description

    Hospitals in New Zealand increased to 31.95 per one million people in 2024 from 31.54 per one million people in 2023. This dataset includes a chart with historical data for New Zealand Hospitals.

  19. T

    New Zealand Nurses

    • tradingeconomics.com
    • ko.tradingeconomics.com
    • +12more
    csv, excel, json, xml
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    TRADING ECONOMICS, New Zealand Nurses [Dataset]. https://tradingeconomics.com/new-zealand/nurses
    Explore at:
    xml, excel, json, csvAvailable download formats
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Dec 31, 1980 - Dec 31, 2024
    Area covered
    New Zealand
    Description

    Nurses in New Zealand increased to 12.36 per 1000 people in 2023 from 12.13 per 1000 people in 2022. This dataset includes a chart with historical data for New Zealand Nurses.

  20. a

    2023 Census internal migration by TALB

    • maps-by-statsnz.hub.arcgis.com
    Updated May 26, 2025
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    Statistics New Zealand (2025). 2023 Census internal migration by TALB [Dataset]. https://maps-by-statsnz.hub.arcgis.com/datasets/e0b2796bc6c74181b34597aa8b7a36f4
    Explore at:
    Dataset updated
    May 26, 2025
    Dataset authored and provided by
    Statistics New Zealandhttp://www.stats.govt.nz/
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    This dataset compares usual residence at the 2023 Census with usual residence one and five years earlier to show population mobility and internal migration patterns of people within New Zealand.‘Usual residence address’ is the address of the dwelling where a person considers that they usually live.‘Usual residence one year ago address’ identifies an individual’s usual residence on 7 March 2022, which may be different to their current usual residence on census night 2023 (7 March 2023).‘Usual residence five years ago address’ identifies an individual’s usual residence on 6 March 2018, which may be different to their current usual residence on census night 2023 (7 March 2023).Note: This dataset only includes usual residence address information for individuals whose usual residence address one year ago and five years ago is available at TALB. Life cycle age groups are categorised as:under 15 years15–29 years30–64 years65 years and over.This dataset can be used in conjunction with the following spatial file by joining on the TALB code values:Territorial authority local board 2023 (generalised)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. Rows excluded from the dataset Rows show TALB of usual residence by TALB of usual residence one year ago and five years ago, by life cycle age group. Cells with a number less than six have been confidentialised. Responses to categories unable to be mapped, such as response unidentifiable, not stated, and Auckland (not further defined), have also been excluded from this dataset.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. Age quality ratingAge is rated as very high quality. Age – 2023 Census: Information by concept has more information, for example, definitions and data quality.Census usually resident population quality ratingThe census usually resident population count is rated as very high quality. Census usually resident population count – 2023 Census: Information by concept has more information, for example, definitions and data quality.Usual residence address quality ratingUsual residence address is rated as high quality. Usual residence address – 2023 Census: Information by concept has more information, for example, definitions and data quality.Usual residence one year ago quality ratingUsual residence one year ago area is rated as high quality. Usual residence one year ago – 2023 Census: Information by concept has more information, for example, definitions and data quality.Usual residence five years ago quality ratingUsual residence five years ago area is rated as high quality. Usual residence five years ago – 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.Symbol-999 ConfidentialInconsistencies in definitions Please note that there may be differences in definitions between census classifications and those used for other data collections.

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Stats NZ (2024). 2023 Census totals by topic for individuals by statistical area 1 – part 2 [Dataset]. https://datafinder.stats.govt.nz/layer/120792-2023-census-totals-by-topic-for-individuals-by-statistical-area-1-part-2/

2023 Census totals by topic for individuals by statistical area 1 – part 2

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csv, shapefile, pdf, geodatabase, kml, geopackage / sqlite, mapinfo tab, mapinfo mif, dwgAvailable download formats
Dataset updated
Dec 9, 2024
Dataset provided by
Statistics New Zealandhttp://www.stats.govt.nz/
Authors
Stats NZ
License

https://datafinder.stats.govt.nz/license/attribution-4-0-international/https://datafinder.stats.govt.nz/license/attribution-4-0-international/

Area covered
Description

Dataset contains counts and measures for individuals from the 2013, 2018, and 2023 Censuses. Data is available by statistical area 1.

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.

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.

Download lookup file for part 2 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.

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.

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.

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

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.

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.

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.

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.

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.

Measures

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

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