New Zealand Median Annual Household Disposable Income data was reported at 86,257.000 NZD in 2024. This records an increase from the previous number of 81,945.000 NZD for 2023. New Zealand Median Annual Household Disposable Income data is updated yearly, averaging 60,369.000 NZD from Jun 2007 (Median) to 2024, with 18 observations. The data reached an all-time high of 86,257.000 NZD in 2024 and a record low of 43,113.000 NZD in 2007. New Zealand Median Annual Household Disposable Income data remains active status in CEIC and is reported by Stats NZ. The data is categorized under Global Database’s New Zealand – Table NZ.H026: Annual Household Income.

In the year ended March 2022, the gross national income per capita in New Zealand was approximately ****** New Zealand dollars. This value has increased steadily over the past decade.

According to a survey conducted among renters in New Zealand in January and February 2024, around ** percent of renters spend up to ** percent of their household disposable income on rent. Just over ** percent of those surveyed were paying out more than ** percent of their household income on rent.

Households Debt in New Zealand increased to 170 percent of gross income in 2025 from 169 percent in 2024. This dataset provides - New Zealand Households Debt To Income- actual values, historical data, forecast, chart, statistics, economic calendar and news.

Historical dataset showing New Zealand income inequality - gini coefficient by year from N/A to N/A.

In 2019, Europeans in New Zealand earned a median of ***** New Zealand dollars per week from wages or salaries. In comparison, Pacific people earned around *** New Zealand dollars per week.

New Zealand Real Gross National Disposable Income data was reported at 61,873.000 NZD mn in Sep 2018. This records an increase from the previous number of 61,251.000 NZD mn for Jun 2018. New Zealand Real Gross National Disposable Income data is updated quarterly, averaging 38,860.500 NZD mn from Jun 1987 (Median) to Sep 2018, with 126 observations. The data reached an all-time high of 64,757.000 NZD mn in Dec 2017 and a record low of 24,672.000 NZD mn in Jun 1991. New Zealand Real Gross National Disposable Income data remains active status in CEIC and is reported by Statistics New Zealand. The data is categorized under Global Database’s New Zealand – Table NZ.A020: SNA08: Gross National Disposable Income and GDP per Capita.

New Zealand has *** of the highest house price-to-income ratios in the world; nonetheless, since the first quarter of 2022, the country's house price-to-income ratio started to trend downward. In the fourth quarter of 2024, the ratio was *****, a slight decrease from the same quarter of the previous year. This ratio was calculated by dividing nominal house prices by nominal disposable income per head, and is considered a measure of affordability. Homeownership dream New Zealand has been in what is widely considered a housing bubble. The disproportionately large increases in residential house prices have placed the dream of owning their own home out of reach for many in the country. In 2024, around ** percent of residential properties were sold for over a million New Zealand dollars. The majority of mortgage lending in the country went to owner-occupiers where the property was not their first home, with first-home buyers often struggling to secure a loan. In general, only New Zealand residents and citizens can buy homes in the country to live in, with new regulations tightening investment activity in that market. Rent affordability Due to New Zealand's high property prices, many individuals and families are stuck renting for prolonged periods. However, with rent prices increasing across the country and the share of monthly income spent on rent trending upwards in tandem with a highly competitive rental market, renting is becoming a less appealing prospect for many. The Auckland and Bay of Plenty regions had the highest weekly rent prices across the country as of December 2024, with the Southland region recording the lowest rent prices per week.

Household net worth statistics aims to provide a picture of the net worth (wealth) of New Zealanders, by looking at their household assets and liabilities – financial and non-financial.

New Zealand: Gini income inequality index: The latest value from is index points, unavailable from index points in . In comparison, the world average is 0.00 index points, based on data from countries. Historically, the average for New Zealand from to is index points. The minimum value, index points, was reached in while the maximum of index points was recorded in .

In a survey conducted from April 2018 to March 2019 in New Zealand, regarding whether or not everyday needs were met by their income, over ** percent of female respondents stated that they had enough money to meet their everyday needs. On the other hand, just under ** percent of female respondents in New Zealand stated that they did not have enough money to meet everyday needs.

Floods include some of the most frequent and costliest extreme weather events in Aotearoa New Zealand. Using data from Statistics New Zealand’s Integrated Data Infrastructure and Historical Weather Events Catalogue from the National Institute of Water and Atmospheric Research (NIWA), this study empirically investigates the impact of floods on individual income across the country. The study considered thirteen economically significant flood events and the income of all the Inland Revenue registered individuals between 2000 and 2019. The impact of floods on the affected individual’s annual income was assessed using panel regressions with individual and time-fixed effects. Despite the large floods-induced privately insured damages, floods had no significant impact on individual annual incomes from salary, wage, self-employment, and total income across various specifications.

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

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

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The variables for part 2 of the dataset are:

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

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Download lookup file 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.

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Footnotes

Te Whata

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

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Geographical boundaries

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

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Subnational census usually resident population

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

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Population counts

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

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Caution using time series

Time series data should be interpreted with care due to changes in census methodology and differences in response rates between censuses. The 2023 and 2018 Censuses used a combined census methodology (using census responses and administrative data), while the 2013 Census used a full-field enumeration methodology (with no use of administrative data).

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Study participation time series

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

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About the 2023 Census dataset

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

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Data quality

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

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Concept descriptions and quality ratings

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

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Disability indicator

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

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

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Using data for good

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

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Confidentiality

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

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Measures

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

Geospatial data about Age and income in 2001 by TALB2013. Export to CAD, GIS, PDF, CSV and access via API.

This report analyses aggregate real household disposable income in New Zealand. The data for this report is sourced from Statistics New Zealand (Tatauranga Aotearoa). Gross disposable income is the total primary and secondary income less taxes on income and wealth, interest payments, non-life insurance premiums and other current transfers payable. Real household disposable income is the income available for final consumption and saving. This differs from household discretionary income, which is the income available after necessary purchases have been made. The data is presented in 2021-22 dollars, converted using the consumer price index and is presented in financial years.

In 2024, the median hourly earnings for women in New Zealand increased by *** percent compared to the previous year. In the same year, the median hourly earnings for men increased at a similar rate, however, the gender pay gap still stood at over ***** percent.

This report analyses aggregate real household discretionary income in New Zealand. The data for this report is sourced from Statistics New Zealand (Tatauranga Aotearoa). Discretionary income is measured as disposable income less 'necessary' household expenses. IBISWorld defines 'necessary' household expenses as all spending on food and non-alcoholic beverages; clothing and footwear; housing and household utilities; transport; health; and communications. The data is presented in 2021-22 dollars, converted using the consumer price index and is presented in financial years.

New Zealand Real Gross National Disposable Income: sa: per Capita data was reported at 12,766.000 NZD in Jun 2018. This records an increase from the previous number of 12,714.000 NZD for Mar 2018. New Zealand Real Gross National Disposable Income: sa: per Capita data is updated quarterly, averaging 10,411.000 NZD from Mar 1991 (Median) to Jun 2018, with 110 observations. The data reached an all-time high of 12,781.000 NZD in Dec 2017 and a record low of 7,164.000 NZD in Sep 1992. New Zealand Real Gross National Disposable Income: sa: per Capita data remains active status in CEIC and is reported by Statistics New Zealand. The data is categorized under Global Database’s New Zealand – Table NZ.A020: SNA08: Gross National Disposable Income and GDP per Capita.

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

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

Abstract

The 2006 Census of Tokelau was conducted on the 19th of October 2006, by both local representatives and Statistics New Zealand staff. Significant planning went into both the collection and output phases of the 2006 Census – with consultation on various aspects of the census (for example, questionnaire content consultation) carried out in Tokelau, Samoa and New Zealand, where appropriate. The 2006 Census questionnaire was based on a standard form developed by the Secretariat of the Pacific Community (SPC), with some changes as appropriate to the Tokelau situation.

Tokelau has a unique population composition. A significant proportion of the Tokelauan population are away from the islands at any one time, for various reasons (e.g. healthcare, education). Considerable time and effort has been put into developing effective population measures for the 2006 Census of Tokelau, with a focus on ensuring all usual residents were counted – in particular those who were not present in Tokelau on census night. Core demographic information was completed by the head of the household, on behalf of people who usually live in Tokelau, but were away on census night.

Geographic coverage

National coverage: the census covers residents of Tokelau and also Tokelau public servants and their families who are employed in Apia, Samoa.

Analysis unit

Individuals and Households.

Universe

The Census covers residents of the non-selfgoverning New Zealand territory of Tokelau and includes Tokelau public servants and their families who are employed in Apia, Samoa. While visitors to Tokelau on Census night are also included, the ultimate aim of the Census is to provide an accurate assessment of the de jure population.

Kind of data

Census/enumeration data [cen]

Mode of data collection

Face-to-face [f2f]

Research instrument

The questionnaire of the 2006 Tokelau Census consisted of three different forms: - Dwelling form: Dwelling characteristics; sources of water; means of cooking; rubbish disposal; hosuehold items; access to Sky TV, internet; numbers of pigs and chickens; sources of income. - Individual form: Individual characteristics; realationship to household head; living where; ethnicity; religion; birth mother and father still alive; language skills: speaking and writing; address 5 years ago; education and qualifications; marital status; paid and unpaid employment; children given birth to. - Absentee form: Individual characteristics; reason for / length of absence; income.

The 2006 Census questionnaire was based on a standard form developed by the Secretariat of the Pacific Community (SPC), with some changes appropriate to the Tokelau situation. Some modifications were made in the 2006 Questionnaire, for instance: - In 2001, the questionnaire only asked for items owned and not necessarily partial or shared ownership as it did in 2006.

A thorough review of the employment and work sections of the questionnaire was undertaken to ensure the unique work force in Tokelau was represented, while at the same time ensuring international comparability. Questions on languages spoken, cigarette smoking and household income were added.

The English version of the questionnaire was reviewed using cognitive testing with four Wellington-based Tokelauan families. The near-final English version of the questionnaire was then tested in Tokelau in July 2006.

Consultation about the content of the census forms was also undertaken in Tokelau and Samoa, with Tokelau government representatives and decision-makers. This consultation was an opportunity to determine what information was required by various data users and how it could best be delivered. After the July visit to Tokelau, the questionnaire was finalised and translation into Tokelauan was carried out. A shorter version of the full individual questionnaire was used for Tokelau Public Service (TPS) working in Samoa, which consisted of only basic demographic questions about each member of the household. No dwelling questions were asked in Samoa.

The census questionnaire was a paperbased, interviewer-administered questionnaire available in two languages (English and Tokelauan).

Cleaning operations

The vast majority of editing was done on the dataset rather than on the raw data. Data evaluation identified cases that needed editing, the resolution was researched by the census manager, and any changes were recorded. This approach was taken to allow for a record to be kept of how many changes (consistency edits) have been undertaken, allowing the process to be defendable.

Census data processing was done using CSPro v 3.0 (Census and Survey Processing System). The Pacific Community (SPC) endorsed CSPro as the standard processing system for all population statistics in the Pacific. For the census of Tokelau, CSPro was used for key entry, editing, and verification of the census data.

Sampling error estimates

Not applicable: Census

Data appraisal

Given the small population size, no post-enumeration survey was done.

In some cases a respondent’s birth day or month was imputed. In these cases the date was randomly selected from one to thirty one and the birth month was randomly selected (from January to December). Any imputed dates were checked to ensure they were valid dates eg not 31 February. Overall the census management team felt that the editing, imputation and mandatory variables methods used were successful. They provided a good balance between quality and practicality for a small census.