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.

Households Debt in New Zealand increased to 168 percent of gross income in 2025 from 167 percent in 2025. This dataset provides - New Zealand Households Debt To Income- actual values, historical data, forecast, chart, statistics, economic calendar and news.

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.

New Zealand Average Annual Household Disposable Income data was reported at 104,567.000 NZD in 2024. This records an increase from the previous number of 98,878.000 NZD for 2023. New Zealand Average Annual Household Disposable Income data is updated yearly, averaging 72,209.000 NZD from Jun 2007 (Median) to 2024, with 18 observations. The data reached an all-time high of 104,567.000 NZD in 2024 and a record low of 51,330.000 NZD in 2007. New Zealand Average 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.

Dataset contains counts and measures for households 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 households in occupied private dwellings (unless otherwise stated). All data is for level 1 of the classification (unless otherwise stated):

• Count of households in occupied private dwellings
• Access to telecommunication systems (total responses)
• Household crowding index for levels 1 and 2
• Household composition
• Number of usual residents in household
• Average number of usual residents in household
• Number of motor vehicles
• Sector of landlord for households in rented occupied private dwellings
• Tenure of household
• Total household income
• Median ($) total household income
• Weekly rent paid by household for households in rented occupied private dwellings
• Median ($) weekly rent paid by household for households in rented occupied private dwellings.

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

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Footnotes

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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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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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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Household crowding

Household crowding is based on the Canadian National Occupancy Standard (CNOS). It calculates the number of bedrooms needed based on the demographic composition of the household. The household crowding index methodology for 2023 Census has been updated to use gender instead of sex. Household crowding should be used with caution for small geographical areas due to high volatility between census years as a result of population change and urban development. There may be additional volatility in areas affected by the cyclone, particularly in Gisborne and Hawke's Bay. Household crowding index – 2023 Census has details on how the methodology has changed, differences from 2018 Census, and more.

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Using data for good

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

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Confidentiality

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

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Measures

Measures like averages, medians, and other quantiles are calculated from unrounded counts, with input noise added to or subtracted from each contributing value during measures calculations. Averages and medians based on less than six units (e.g. individuals, dwellings, households, families, or extended families) are suppressed. This suppression threshold changes for other quantiles. Where the cells have been suppressed, a placeholder value has been used.

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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.

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Symbol

-997 Not available

-999 Confidential

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Inconsistencies in definitions

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

New Zealand has one 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 first quarter of 2025, the ratio was *****, a 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 2025, 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.

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

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

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The variables for part 2 of the dataset are:

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

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

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Footnotes

Te Whata

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

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Geographical boundaries

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

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Subnational census usually resident population

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

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Population counts

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

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Caution using time series

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

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Study participation time series

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

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About the 2023 Census dataset

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

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Data quality

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

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Concept descriptions and quality ratings

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

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Disability indicator

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

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

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Using data for good

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

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Confidentiality

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

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Measures

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

The share of children living in welfare benefit-dependent households in New Zealand was ** percent in 2018. The quantification of child poverty in New Zealand is not reliably known. However, the rate of children living in households that rely on welfare benefits as their main source of income can be used as an indicator of income poverty among children in the country.

The five-yearly Census of Population and Dwellings is a very important item on Tokelau’s agenda. Its results provide the most authoritative data on how many people we have, what the composition of their households is, what education level they have, how they contribute to Tokelau’s economy, and so on. As a non-self- governing territory, Tokelau has a special constitutional relationship with New Zealand. This special relationship is strengthened by connections between the tiny Tokelau National Statistics Office (TNSO) and Statistics NZ. It is the latter organisation that has been largely responsible for the excellent Tokelau Censuses in 2006, 2011, and again in 2016.

Version 01: De-identifed, cleaned and labelled version of the Master file. This is the first systematic effort in documenting the 2016 Tokelau Census. All output documentation is available on the Tokelau website tinyurl.com/TokelauCensus but any efforts to collate data have been an internal matter so far. The DDI approach aims to make all Census material (albeit anonymised) internationally accessible.

-HOUSEHOLD: Dwelling age; number of rooms; sources of water; means of cooking; rubbish disposal; household items; access to Sky TV, internet; numbers of pigs and chickens; sources of income; combined annual household income
-INDIVIDUALS: Name (suppressed), sex, age (birthdates suppressed), relationship to household head; living where; ethnicity; life statisfaction; self-assessed health; religion; birth mother and father still alive; language skills: speaking and writing; early childhood ecudation; address 5 years ago; education and qualifications; marital status; paid and unpaid employment; smoking; sense of belonging; social contact; children given birth to

• Collection start: 2016
• Collection end: 2016

The variables included in this dataset are for families and extended families in households in occupied private dwellings:Count of families Family type Number of people in family Average number of people in family Total family income Median ($) total family incomeCount of extended families Extended family type Total extended family income Median ($) total extended family income. Download lookup file from Stats NZ ArcGIS Online or Stats NZ geographic data service. 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. 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.Concept descriptions and quality ratingsData quality ratings for 2023 Census variables has additional details about variables found within totals by topic, 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.Measures Measures like averages, medians, and other quantiles are calculated from unrounded counts, with input noise added to or subtracted from each contributing value during measures calculations. Averages and medians based on less than six units (e.g. individuals, dwellings, households, families, or extended families) are suppressed. This suppression threshold changes for other quantiles. Where the cells have been suppressed, a placeholder value has been used.Percentages To calculate percentages, divide the figure for the category of interest by the figure for 'Total stated' where this applies.Symbol-997 Not available-999 ConfidentialInconsistencies in definitions Please note that there may be differences in definitions between census classifications and those used for other data collections.

Portugal, Canada, and the United States were the countries with the highest house price to income ratio in 2024. In all three countries, the index exceeded 130 index points, while the average for all OECD countries stood at 116.2 index points. The index measures the development of housing affordability and is calculated by dividing nominal house price by nominal disposable income per head, with 2015 set as a base year when the index amounted to 100. An index value of 120, for example, would mean that house price growth has outpaced income growth by 20 percent since 2015. How have house prices worldwide changed since the COVID-19 pandemic? House prices started to rise gradually after the global financial crisis (2007–2008), but this trend accelerated with the pandemic. The countries with advanced economies, which usually have mature housing markets, experienced stronger growth than countries with emerging economies. Real house price growth (accounting for inflation) peaked in 2022 and has since lost some of the gain. Although, many countries experienced a decline in house prices, the global house price index shows that property prices in 2023 were still substantially higher than before COVID-19. Renting vs. buying In the past, house prices have grown faster than rents. However, the home affordability has been declining notably, with a direct impact on rental prices. As people struggle to buy a property of their own, they often turn to rental accommodation. This has resulted in a growing demand for rental apartments and soaring rental prices.

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.

Child poverty statistics provide estimates of low income and material hardship rates for measures listed in the Child Poverty Reduction Act 2018.

Characteristics of the sample, HILDA study, at their first entry wave into the study (people = 20,478).

Bivariate and multivariate associations of binary exposures with the Mental Health Summary (MCS) score, at the four digit level, results from a linear regression model, measured at the time of an individuals’ first entry into the HILDA survey (people = 20,478).

New Zealand NZ: Price to Income Ratio: sa data was reported at 105.825 2015=100 in Mar 2025. This records a decrease from the previous number of 107.289 2015=100 for Dec 2024. New Zealand NZ: Price to Income Ratio: sa data is updated quarterly, averaging 88.910 2015=100 from Mar 1986 (Median) to Mar 2025, with 157 observations. The data reached an all-time high of 142.895 2015=100 in Dec 2021 and a record low of 46.819 2015=100 in Mar 1987. New Zealand NZ: Price to Income Ratio: sa 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.AHPI: House Price Index: Seasonally Adjusted: OECD Member: Quarterly. Nominal house prices divided by nominal disposable income per head. Net household disposable income is used. The population data come from the OECD national accounts database.

Demographic Profiles are created from the statistics gathered in the 2013 New Zealand Census.The District Demographic Profile provides basic population and demographic information on the residents of the Hauraki District.The Area Unit Demographic Profile provides information at the Area Unit level of Hauraki Plains, Kaiaua, Kerepehi, Ngatea, Ohinemuri, Paeroa, Turua and Waihi, on eight variables (e.g. access to household internet and household income).

The price of residential property in New Zealand was the highest in the Auckland region in October 2025, with an average sale price of over *** million New Zealand dollars. The most populated city in the country, Auckland, has consistently reported higher house prices compared to most other regions. Buying property in New Zealand, particularly in its major cities, is expensive. The nation has one of the highest house-price-to-income ratios in the world. Auckland residential market The residential housing market in Auckland is competitive. Prices have been slowly decreasing although the Auckland region experienced an annual increase in the average residential house price in October 2025 compared to the same month in the previous year. The price of residential property in Auckland was the highest in the Auckland City district, with an average sale price of around **** million New Zealand dollars. Home financing Due to the rising cost of real estate, an increasing number of New Zealanders who want to own their own property are taking on mortgages. Most residential mortgage lending in New Zealand went to owner-occupier borrowers, followed by first home buyers. In addition to mortgage lending, previously under the KiwiSaver HomeStart initiative, first-home buyers in New Zealand were able to apply to withdraw all or part of their KiwiSaver retirement savings to assist with purchasing a first home. Nonetheless, the scheme was discontinued in May 2024. Furthermore, even with a large initial deposit, it may take decades for many borrowers to pay off their mortgage.