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.

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.

The statistic shows the unemployment rate of the residents of Māori descent in New Zealand from 2010 to 2020. In 2020, around *** percent of the labor force of Māori descent in New Zealand were unemployed, going down from an unemployment rate of **** percent in 2017.

New Zealand Working Age Population: Maori data was reported at 649.700 Person th in Mar 2025. This records an increase from the previous number of 646.600 Person th for Dec 2024. New Zealand Working Age Population: Maori data is updated quarterly, averaging 527.300 Person th from Dec 2007 (Median) to Mar 2025, with 70 observations. The data reached an all-time high of 649.700 Person th in Mar 2025 and a record low of 422.500 Person th in Dec 2007. New Zealand Working Age Population: Maori data remains active status in CEIC and is reported by Stats NZ. The data is categorized under Global Database’s New Zealand – Table NZ.G046: Household Labour Force Survey: Working Age Population.

As of June 2019, the Wellington region had the highest employment rate of Maori in New Zealand, with a rate of about **** percent. Additionally, the South Island region had a Maori employment rate of about **** percent.

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.

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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).

​

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”.

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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.

According to a survey on regional homelessness conducted in September 2018, at around 43 percent, the majority of people living without a shelter in the Auckland region in New Zealand were of Māori ethnicity. In the same year, an estimated 16 percent of the entire population of the country were Māori.

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.

As of June 2019, the Wellington region had the highest labor force participation rate of Maori in New Zealand, with a rate of about **** percent. Additionally, the South Island region had a labor force participation rate of about **** percent.

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.

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

National

Analysis unit

Household Individual

Universe

National Population, Both sexes,18 and more years.

Kind of data

Sample survey data [ssd]

Sampling procedure

Sample size: 841

a. A random sample of 2000 people was drawn from the New Zealand Electoral Roll; Permanent Residents and Citizens of NZ are required by law to place themselves on the Electoral Roll. The roll contains name, address, electorate, age, gender, occupation, and a Maori identifier.

b. Excluded from the sample were overseas addresses and people over 90 years of age (following past NZSV surveys).

c. People identifying as Maori on the roll were oversampled (as in past NZ Values Surveys) because Maori, as a group, tend to have a lower response rate to such surveys. About 13.6% of the people on the Roll identified as Maori, while the sample that was drawn is about 22.5% identifying as Maori on the Roll. In the results of the survey for the ethnicity question, 16.3% indicated they identified as Maori. They may also have selected other ethnicities, and saying “Maori” in the survey does not necessarily mean they are listed as Maori on the Electoral Roll.

Mode of data collection

Mail Questionnaire [mail]

Research instrument

For each wave, suggestions for questions are solicited by social scientists from all over the world and a final master questionnaire is developed in English. Since the start in 1981 each successive wave has covered a broader range of societies than the previous one. Analysis of the data from each wave has indicated that certain questions tapped interesting and important concepts while others were of little value. This has led to the more useful questions or themes being replicated in future waves while the less useful ones have been dropped making room for new questions.

The questionnaire is translated into the various national languages and in many cases independently translated back to English to check the accuracy of the translation. In most countries, the translated questionnaire is pre-tested to help identify questions for which the translation is problematic. In some cases certain problematic questions are omitted from the national questionnaire.

WVS requires implementation of the common questionnaire fully and faithfully, in all countries included into one wave. Any alteration to the original questionnaire has to be approved by the EC. Omission of no more than a maximum of 12 questions in any given country can be allowed.

Response rate

44.22%

Sampling error estimates

Estimated error: 3.4

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

https://www.educationcounts.govt.nz/data-services/directories/maori-medium-schoolsLatest Directory Update: April 2020Directory InformationWe have recently been in contact with schools and many have agreed to have their email addresses publicly released. These email addresses have now been added to the Māori Medium Schools Directory downloads. Persons or organisations wishing to send email material to individuals or organisations whose email addresses appear in this directory must comply with the requirements of the Unsolicited Electronic Messages Act 2007. Publication of email addresses on this site should not be taken as deemed consent to receiving unsolicited email.Principal names are available for State and State Integrated Schools only. The most up to date information that we have available has been provided. Recent changes may not be reflected.Māori Language in EducationMāori medium education is where students are taught all or some curriculum subjects in the Māori language for at least 51 percent of the time (Māori Language Immersion Levels 1-2).Māori language in English medium where students are learning Te Reo Māori as a language subject, or taught curriculum subjects in the Māori language for up to 50 percent of the time (Māori Language Immersion levels 3-5). No Māori Language in Education is where the student learns at most Simple words, greetings or songs in Māori (Level 6- Taha Māori) or no Māori language learning of any kind.Schools included in this directory are all schools recorded as having at least 1 student enrolled in Māori medium education (Māori Language Immersion Levels 1-2). This includes 4 types of schools:Māori medium school is a school where all Students are recorded as enrolled in Māori medium educationSchool with Māori medium education is a school where some students do Māori medium education and the rest do no Māori language in education.Mixed Māori Language in Education School is a school where all students are either involved in Māori medium education or Māori language in English medium education.School with Mixed Māori Language in Education School is a school where some students do Maori medium education, some do Māori language in English medium education and some do no Māori language in education.Using a Directory of Educational InstitutionsTo learn more about these types of functions use the package help functionThese directories are easiest to use when you download the excel workbook of the directory you wish to use to your desktop so that you can use the full range of excel features including find, sort and filter.You can use the find function to search for a specific institute if you have its name/number. Sorting and filtering make it easier to find and analyse the education institute data. Excel allows you to sort your worksheet by using information from one or more columns, for example, by school type and region. Sorting has the effect of placing records, in this case education institutions, with the same sort criteria next to each other. Filtering allows you to block out records you don't want to see, leaving a view of the data you are interested in.Instructions to filter documentClick on the row number with the column headingsGo to [Data] [Filter] AutoFilterFrom here, you can select the data you require by using the drop down arrowsFor exampleFor the schooling directory, if you wish to identify all full primary schools in Upper HuttGo to column 'R' Territorial Local Authority click down arrow, select Upper Hutt City, then go to column 'N' Type select Full PrimaryWhen you have finished your query simply click on the columns you filtered and select all to display all the institutions again

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

This 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

The sampling frame used was an electronic version of New Zealand electoral Roll. In law enrolment is compulsory, but it is rare if ever enforced. The defined age range was 18-90 years. A simple systematic sample of 1749 was drawn from the Maori electorates. A systematic sample of 225 was drawn from the Maori electorates. This represents an approximate double oversample, in an effort to increase the Maori response rate. A systematic sample of 25 was drawn from a small number of Census mesh blocks in South Auckland and Porirua (Wellington subrub) which are extremely low household income areas. Again, this was an attempt to increase the response rate from people who traditionally are low responders to surveys. The sample size is N=1201.

Mode of data collection

Mail Questionnaire [mail]

Research instrument

The WVS questionnaire was in English, Maori, Pacific island, Chinese and Japanese. Some special variable labels have been included, such as: V56 neighbours: There were three versions for different minorities but none was included in the original file and V149 Institutions: This variable was asked and referred to "CER with Australia" but was excluded in the original file because New Zealand assumed it should refer to the European Union. Special categories labels are: V167 Least liked Groups and 203/ V204: Geographical affinity. The variable V217 Education is not compatible with codebook. Country Specific variables included are: V208: Ethnic identification, 1. Maori, 2. Pakeha 3. European, 4. Pac Si 5. Asian, 6. Nzer; V209: Language at home: 1. English, 2. Maori, 3. Pac si, 4 Chinese, 5. Japanese and 6. The variables political parties V210 a V212; V232 Size of Town; V 233 Ethnic Group and Region: V 234 are also included as country specific variables. The V 206 Born in this country is also different in New Zeland.

Response rate

The response rate for New Zealand is 65.3%

Sampling error estimates

+/- 2,9%

As of June 2019, the South Island region had the highest employment change of Maori in New Zealand compared to the previous year, with an increase in employment of about **** percent. Contrastingly, the Wellington region experienced a decline in employment among Maori of about *** percent compared to the previous year.

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 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.

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.

As of June 2019, professional occupations had the highest employment share of Maori in New Zealand, at about ** percent. In contrast, around ***** percent of Maori employed in New Zealand had sales positions.

This statistic shows the results of an annual survey about the prevalence of obesity among people of Māori decent in New Zealand between 2011/12 and 2017/18. During the 2017/2018 survey period, around **** percent of Māori adults surveyed in New Zealand were obese.