In 2021, the employment rate of residents of Māori descent in New Zealand was **** percent. In 2020, around **** percent of the working age population of Māori descent in New Zealand were employed, indicating a slight increase over the year.

Dataset contains Māori descent indicator census usually resident population counts from the 2013, 2018, and 2023 Censuses, as well as the percentage change in the Māori descent indicator counts between the 2013 and 2018 Censuses, and between the 2018 and 2023 Censuses. Data is available by statistical area 2.

Māori descent indicator categories are:

• Māori descent
• No Māori descent
• Don’t know

Map shows the percentage change in the Māori descent census usually resident population count between the 2018 and 2023 Censuses.

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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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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About the 2023 Census dataset

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

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Data quality

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

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Quality rating of a variable

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

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Māori descent concept quality rating

Māori descent is rated as very high quality.

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

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Using data for good

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

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Confidentiality

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

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Symbol

-998 Not applicable

-999 Confidential

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Percentages

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

Dataset contains ethnic group census usually resident population counts from the 2013, 2018, and 2023 Censuses, as well as the percentage change in the ethnic group population count between the 2013 and 2018 Censuses, and between the 2018 and 2023 Censuses. Data is available by statistical area 2.

The ethnic groups are:

• European
• Māori
• Pacific peoples
• Asian
• Middle Eastern/Latin American/African
• Other ethnicity

Map shows percentage change in the census usually resident population count for ethnic groups between the 2018 and 2023 Censuses.

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

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. 

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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).

​

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.

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Ethnicity concept quality rating

Ethnicity is rated as high quality.

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

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Using data for good

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

​

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

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Percentages

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

This statistic shows the estimated total Māori population residing in New Zealand from 2008 to 2018, sorted by gender. In 2018, it was estimated that about ******* Māori women and girls and about ******* Māori men and boys live in New Zealand.

As of *********, there were approximately *** thousand female Māori residents in New Zealand. In 1991, the estimated population was around ***** thousand.

Context

Tatauranga umanga Māori – Statistics for Māori businesses: 2017–18 – metadata for CSV files. Tatauranga = statistics. Umanga = business. Aotearoa = New Zealand. Máori language. These files contain the metadata for the CSV files published with this release. List of worksheets:
Agriculture Production Survey.
Business Demography Statistics.
Business Operations Survey.
Linked Employer-Employee Dataset (LEED).
Conditions of supply.
Published by Stats NZ, 07 June 2019.
www.stats.govt.nz https://www.stats.govt.nz/large-datasets/csv-files-for-download/

Content

Statistics New Zealand, branded as Stats NZ, is the public service department of New Zealand charged with the collection of statistics related to the economy, population and society of New Zealand. To this end, Stats NZ produces censuses and surveys. https://en.wikipedia.org/wiki/Statistics_New_Zealand Tatauranga mean statistics (mathematical science). https://en.wiktionary.org/wiki/

Acknowledgements

"Source: Stats NZ and licensed by Stats NZ for re-use under the Creative Commons Attribution 4.0 International licence."

***Photo by pixpoetry on Unsplash.

Inspiration

Aotearoa is the Maori name for the country of New Zealand. The literal translation of Aotearoa is "land of the long white cloud". https://www.maori.com/aotearoa Te Reo Máori it's a taonga (treasure) to be protected.

The statistic shows the unemployment rate in New Zealand in 2020, by ethnicity. That year, around *** percent of the European labor force in New Zealand were unemployed. Around *** percent of the Maori labor force were unemployed for the same year.

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.

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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.

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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.

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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.

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Rounding

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

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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.

In the 2021 financial year, around **** percent of the Māori population of New Zealand were smokers. This was the highest rates among any other ethnicity group, with New Zealanders of Asian origin having the lowest rates.

These boundaries comprise the proposed seven Māori electorates released by the Representation Commission in March 2025 for public consultation. Written objections to the proposed electorate boundaries can be made between 25 March and 27 April 2025. Refer here for more information about having your say.

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The Representation Commission is convened by the Surveyor-General, its role is to re-draw electorate boundaries to make sure each electorate has about the same number of people. Stats NZ calculates the Māori electoral population, number of Māori electorates and electoral quota using the formula specified in the Electoral Act 1993. When setting the boundaries, the Representation Commission also considers existing boundaries, communities of interest (including iwi affiliations), the infrastructure that links communities (such as main roads), topographical features, and any projected variation in the population of those electorates during their existence.

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Data is provided with tohutō/macrons (UTF-8 format). To support users with the compatibility of the data and the applications they might be using, additional fields are also provided in ASCII format.

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The electoral populations are calculated from the 2023 Census data using the formulae specified in the Electoral Act 1993 and are confidentialised using Stats NZ confidentiality rules. The rules applied to the electoral populations are suppression of all unrounded counts below six (displayed as: ‘-999’) and random rounding to base three. There may be slight differences when comparing the total electoral population for electorates to totals derived using electoral population counts at meshblock level or another source.

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In a small number of cases, the proposed electorate boundaries do not align to the annual 2025 meshblock boundaries exactly. This is due to meshblock adjustments that have been made as part of the Representation Commission’s process. Apart from these adjustments, a meshblock freeze remains in place until the Representation Commission has finished its electorate boundary review and the new electorate boundaries have been set.

Abstract

The World Values Survey (www.worldvaluessurvey.org) is a global network of social scientists studying changing values and their impact on social and political life, led by an international team of scholars, with the WVS association and secretariat headquartered in Stockholm, Sweden. The survey, which started in 1981, seeks to use the most rigorous, high-quality research designs in each country. The WVS consists of nationally representative surveys conducted in almost 100 countries which contain almost 90 percent of the world’s population, using a common questionnaire. The WVS is the largest non-commercial, cross-national, time series investigation of human beliefs and values ever executed, currently including interviews with almost 400,000 respondents. Moreover the WVS is the only academic study covering the full range of global variations, from very poor to very rich countries, in all of the world’s major cultural zones. The WVS seeks to help scientists and policy makers understand changes in the beliefs, values and motivations of people throughout the world. Thousands of political scientists, sociologists, social psychologists, anthropologists and economists have used these data to analyze such topics as economic development, democratization, religion, gender equality, social capital, and subjective well-being. These data have also been widely used by government officials, journalists and students, and groups at the World Bank have analyzed the linkages between cultural factors and economic development.

Geographic coverage

The Survey covers New Zealand.

Analysis unit

• Household
• Individual

Universe

The WVS for New Zealand covers national population aged 18 years and over, for both sexes.

Kind of data

Sample survey data [ssd]

Sampling procedure

a. The New Zealand Study of Values Postal Survey is based on a one stage probability sample, selected randomly from the New Zealand Electoral Roll. Since the NZ Electoral roll easily allows a one stage sample, the number of Primary Sampling Units would be well over 30.

b. The NZ Electoral Roll contains approximately 2.7 million names of New Zealand electors. All citizens and permanent residents are required by law to place themselves on the roll at age 18. The rolls contain name, age, address, occupation, and a Maori identifier. An electronic version, which we used, is available to legitimate researchers. The electoral roll is a close approximation of a list of all adults (18+) in New Zealand.

c. We limited ourselves to those people under 90 years of age. The roll we drew a random sample from was stratified by 5 year age cohorts and by Parliamentary electorate (geographic areas).

d. We drew a random sample of 2000 names from the roll. We oversampled on those with a Maori identifier, based on well know experience that Maori tend to have a substantially lower level response rate than the population as a whole. We followed the practice from the 1998 NZ Study of Values survey, and drew a number of Maori approximately double the proportion identified on the roll. The proportion with a Maori identifier was 12.8%. We drew a sample that included 23% of those identified as Maori.

e. 1979 Questionnaires (after deleting overseas addresses) were mailed out Nov. 8-9 2004.

f. A second mailing, with a new appeal and a new questionnaire was sent out about November 25, 2004. It was sent only to those not returning a questionnaire. g. A third mailing was sent out about December 7, 2004. This did not include a new questionnaire, but merely a letter sent to those not returning a questionnaire, appealing to them to complete the survey. h . 922 of the final 954 useable surveys had been returned by 24 December 2004. A further 30 odd came in through to February 10, 2005. The final total of 954 useable returned surveys represents a final response rate of 51.7%. This rate was achieved by subtracting 134 from the 1979 posted out (a net sample posting of 1845). The 134 surveys represent those surveys returned to us as a consequence of an incorrect address (return to sender, not at this address) or where we were informed that the person concerned was deceased or overseas. This figure of 134 is probably conservative (if one assumes some incorrect addresses are not returned to sender, but simply thrown in the trash). Thus the response rate in fact is probably higher.

The sample size for New Zealand is N=954 and includes national population aged 18 years and over for both sexes.

Mode of data collection

Face-to-face [f2f]

Research instrument

1. The New Zealand Study of Values postal survey was developed from the 2005 WORLD VALUES SURVEY DRAFT QUESTIONNAIRE, Revised version

2. All variables from the entire NZ Study of Values survey have been sent to you on the SPSS data file (NZValues2004WVS.sav), irrespective of whether items are part of the World Values Survey or not. I have included the requested V1 (survey number) and V2 (Country code) at the start of the data file.

3. Where an item is derived from the WVS I have placed its V_ number at the start of the variable name, followed by the variable name used in the NZ survey. For example V10q2 indicates that this is V10 from the WVS and question 2 from the NZSV questionnaire. If a variable name starts with a V then it is from the WVS draft. If it does not start with a V it is not from the WVS draft we used.

4. We have tried to adhere to the WVS wording and coding as much as possible. The following items are in some way at variance from your wording/coding, as indicated: q6_01-q6_11/V12-V21: Coded as 1 selected and blank, not selected. q21_01,02,04,05,09-12/V38-V47: Coded as 1 selected and blank, not selected XNKIDQ34/V56: Actual no. coded, 0-9, 12 XReligQ85/V147: Different Categories to fit New Zealand q101/V178: Different categories to fit NZ q102_1,6/V179: Different categories to fit NZ; each language coded as a separate variable, 1-6 (as appropriate) or blank if not selected q103.1/V180: Different parties to fit NZ q103.2/V181: Different parties to fit NZ q104_1,11/V182: Different parties to fit NZ; each party coded as a separate variable, 1 selected, or blank, not selected q108/V186: Different categories to fit NZ q111_1,9/V189: Different categories to fit NZ; each category coded as a separate variable, 1 if selected, or blank, if not selected q116_1,5/V194: Each coded as a separate variable, 1-4,9 respectively if selected, or blank if not selected q119/V196: Approximate deciles for NZ Dollars q124/V201: Regions appropriate to NZ q125/V199: Size categories appropriate to NZ

5. I have also attached an electronic copy of the postal questionnaire. It is not the final, final version (I cant locate an electronic copy at the moment but am still trying). The wording, numbering and coding of all the items are correct. All that is different are the front and back covers, and the question number used in filtering on page 35 (Should be GO TO Q100), page 40 (Should be GO TO Q116), and page 43 (Should be GO TO Q 123). If you email me your postal address, I will mail you a hard copy of the actual final questionnaire.

Response rate

The final total of 954 useable returned surveys represents a final response rate of 51.7%. 1979 Questionnaires sent 1845 Net sample posting 134 Incorrect address (return to sender, not at this address), person deceased or overseas. 954 useable returned surveys

Sampling error estimates

+/- 3,2%

In the year ended June 2019, Maori offenders accounted for **** percent of the offenders of assault crime in New Zealand. The number of victim-reported crimes has trended slightly upwards the past few years, with the Canterbury and Counties/Manukau regions reporting the highest number of offences across the country.

This dataset contains counts 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 http://www.stats.govt.nz/about_us/what-we-do/partnerships/partnership-projects/Otago-youth-not-in-employment-education-training-NEET.aspx. 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.

Life expectancy in New Zealand was just over 34 in the year 1870, and over the course of the next 150 years, it is expected to have increased to just over 82 by the year 2020. Although life expectancy has generally increased along a gradual curve throughout New Zealand's history, there was a slight dip in the late 1910s, as a result of the First World War and following influenza epidemic. Apart from this, there were no anomalies that reduced life expectancy throughout this 150 year period.