According to a survey on regional homelessness conducted in September 2018, at around 83 percent, the majority of people living without a shelter in the Auckland region in New Zealand were male. In the same survey period, around two percent of the homeless population in Auckland identified as neither male nor female.
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.
According to a survey on regional homelessness conducted in September 2018, at around 39 percent, the majority of people living without a shelter in the Auckland region in New Zealand were aged between 21 and 30 years. Homelessness across the city has been on the rise, as housing in Auckland has become more unaffordable.
https://datafinder.stats.govt.nz/license/attribution-4-0-international/https://datafinder.stats.govt.nz/license/attribution-4-0-international/
Dataset for the maps accompanying the Housing in Aotearoa New Zealand: 2025 report. This dataset contains data for severe housing deprivation from the 2018 and 2023 Censuses.
Data is available by health district.
Severe housing deprivation has data for the census usually resident population from the 2018 and 2023 Censuses, including:
Map shows the estimated prevalence rate of severe housing deprivation (per 10,000 people) for the census usually resident population for the 2023 Census.
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.
Footnotes
Geographical boundaries
Statistical standard for geographic areas 2023 (updated December 2023) has information about geographic boundaries as of 1 January 2023. Address data from 2013 and 2018 Censuses was updated to be consistent with the 2023 areas. Due to the changes in area boundaries and coding methodologies, 2013 and 2018 counts published in 2023 may be slightly different to those published in 2013 or 2018.
Subnational census usually resident population
The census usually resident population count of an area (subnational count) is a count of all people who usually live in that area and were present in New Zealand on census night. It excludes visitors from overseas, visitors from elsewhere in New Zealand, and residents temporarily overseas on census night. For example, a person who usually lives in Christchurch city and is visiting Wellington city on census night will be included in the census usually resident population count of Christchurch city.
Population counts
Stats NZ publishes a number of different population counts, each using a different definition and methodology. Population statistics – user guide has more information about different counts.
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).
Severe housing deprivation time series
The 2018 estimates of severe housing deprivation have been updated using the 2023 methodology for estimating severe housing deprivation. Severe housing deprivation (homelessness) estimates – updated methodology: 2023 Census has more information.
Severe housing deprivation
Figures in this map and geospatial file exclude Women’s refuge data, as well as estimates for children living in non-private dwellings. Severe housing deprivation (homelessness) estimates – updated methodology: 2023 Census has more information.
About the 2023 Census dataset
For information on the 2023 Census dataset see Using a combined census model for the 2023 Census. We combined data from the census forms with administrative data to create the 2023 Census dataset, which meets Stats NZ's quality criteria for population structure information. We added real data about real people to the dataset where we were confident the people who hadn’t completed a census form (which is known as admin enumeration) will be counted. We also used data from the 2018 and 2013 Censuses, administrative data sources, and statistical imputation methods to fill in some missing characteristics of people and dwellings.
Data quality
The quality of data in the 2023 Census is assessed using the quality rating scale and the quality assurance framework to determine whether data is fit for purpose and suitable for release. Data quality assurance in the 2023 Census has more information.
Quality rating of a variable
The quality rating of a variable provides an overall evaluation of data quality for that variable, usually at the highest levels of classification. The quality ratings shown are for the 2023 Census unless stated. There is variability in the quality of data at smaller geographies. Data quality may also vary between censuses, for subpopulations, or when cross tabulated with other variables or at lower levels of the classification. Data quality ratings for 2023 Census variables has more information on quality ratings by variable.
Census usually resident population count concept quality rating
The census usually resident population count is rated as very high quality.
Census usually resident population count – 2023 Census: Information by concept has more information, for example, definitions and data quality.
Quality of severe housing deprivation data
Severe housing deprivation (homelessness) estimates – updated methodology: 2023 Census has more information on the data quality of this variable.
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.
Inconsistencies in definitions
Please note that there may be differences in definitions between census classifications and those used for other data collections.
According to a survey on regional homelessness conducted in September 2018, at around 38.1 percent, the majority of people living without a shelter in the Auckland region in New Zealand were based in the Waitematā district. Housing unaffordability in Auckland has contributed to the significant increase in homelessness across the region.
https://www.ibisworld.com/about/termsofuse/https://www.ibisworld.com/about/termsofuse/
In recent years, demand for temporary housing has been one of the most significant issues for the industry. Because of rising rental costs, many have faced the risk of homelessness, with many experiencing financial hardship and persistent economic disadvantage. This has been exacerbated by the economic impacts of recent global events, including the COVID-19 pandemic, with the economic consequences resulting in more individuals and families under financial stress. The shortage of affordable housing and rising rent costs have placed significant pressure on homelessness, which has ramped up demand for crisis accommodation service providers. Industry revenue is expected to increase at an annualised 1.6% over the five years through 2025-26 to $1.8 billion. Greater housing stress has boosted demand for crisis housing in recent years. Family breakdowns are one of the main reasons for housing transiency and are a crucial driver of demand for crisis and refuge accommodation. Inflationary and cost-of-living pressures will sustain industry demand, limiting declines in revenue, which is expected to inch down 0.8% in 2025-26, mainly because of stabilisation in the housing market and gradual economic recovery, easing the need for immediate crisis intervention. The Budget 2025 includes considerable additional money for disability assistance and social housing, including $60 million per year for disability residential care and $128 million over four years for new social housing in Auckland, supporting industry profitability. Several factors, including a shortage of affordable housing, economic hardship, disabilities, mental health conditions and addictions to alcohol, drugs and gambling, influence homelessness. Though these issues suggest a continued demand for crisis and care accommodation services, industry growth is projected to be tempered by cost pressures in 2028-29. Also, while ongoing housing affordability issues and an aging population are anticipated to drive industry growth, funding constraints will limit the expansion rate. Overall, industry revenue is forecast to slightly plunge at an annualised 1.9% over the five years through 2030-31 to $1.6 billion.
https://datafinder.stats.govt.nz/license/attribution-4-0-international/https://datafinder.stats.govt.nz/license/attribution-4-0-international/
Dataset for the maps accompanying the Housing in Aotearoa New Zealand: 2025 report. This dataset contains counts and measures for:
Data is available by territorial authority and Auckland local board.
Average number of private dwellings per square kilometre has data for occupied, unoccupied, and total private dwellings from the 2013, 2018, and 2023 Censuses, including:
Severe housing deprivation has data for the census usually resident population from the 2018 and 2023 Censuses, including:
Home ownership rates has data for households in occupied private dwellings from the 2013, 2018, and 2023 Censuses, including:
Mould and damp has data for occupied private dwellings from the 2018 and 2023 Censuses, including:
Map shows the average number of private dwellings per square kilometre for the 2023 Census
Map shows the estimated prevalence rate of severe housing deprivation (per 10,000 people) for the census usually resident population for the 2023 Census.
Map shows the percentage of households in occupied private dwellings that owned their home or held it in a family trust for the 2023 Census.
Map shows the percentage of occupied private dwellings that were damp or mouldy for the 2023 Census.
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.
Footnotes
Geographical boundaries
Statistical standard for geographic areas 2023 (updated December 2023) has information about geographic boundaries as of 1 January 2023. Address data from 2013 and 2018 Censuses was updated to be consistent with the 2023 areas. Due to the changes in area boundaries and coding methodologies, 2013 and 2018 counts published in 2023 may be slightly different to those published in 2013 or 2018.
Subnational census usually resident population
The census usually resident population count of an area (subnational count) is a count of all people who usually live in that area and were present in New Zealand on census night. It excludes visitors from overseas, visitors from elsewhere in New Zealand, and residents temporarily overseas on census night. For example, a person who usually lives in Christchurch city and is visiting Wellington city on census night will be included in the census usually resident population count of Christchurch city.
Population counts
Stats NZ publishes a number of different population counts, each using a different definition and methodology. Population statistics – user guide has more information about different counts.
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).
Severe housing deprivation time series
The 2018 estimates of severe housing deprivation have been updated using the 2023 methodology for estimating severe housing deprivation. Severe housing deprivation (homelessness) estimates – updated methodology: 2023 Census has more information.
Severe housing deprivation
Figures in this map and geospatial file exclude Women’s refuge data, as well as estimates for children living in non-private dwellings. Severe housing deprivation (homelessness) estimates – updated methodology: 2023 Census has more information.
Dwelling density
This data shows the average number of private dwellings (occupied and unoccupied) per square kilometre of land for an area. This is a measure of dwelling density.
About the 2023 Census dataset
For information on the 2023 Census dataset see Using a combined census model for the 2023 Census. We combined data from the census forms with administrative data to create the 2023 Census dataset, which meets Stats NZ's quality criteria for population structure information. We added real data about real people to the dataset where we were confident the people who hadn’t completed a census form (which is known as admin enumeration) will be counted. We also used data from the 2018 and 2013 Censuses, administrative data sources, and statistical imputation methods to fill in some missing characteristics of people and dwellings.
Data quality
The quality of data in the 2023 Census is assessed using the quality rating scale and the quality assurance framework to determine whether data is fit for purpose and suitable for release. Data quality assurance in the 2023 Census has more information.
Quality rating of a variable
The quality rating of a variable provides an overall evaluation of data quality for that variable, usually at the highest levels of classification. The quality ratings shown are for the 2023 Census unless stated. There is variability in the quality of data at smaller geographies. Data quality may also vary between censuses, for subpopulations, or when cross tabulated with other variables or at lower levels of the classification. Data quality ratings for 2023 Census variables has more information on quality ratings by variable.
Census usually resident population count concept quality rating
The census usually resident population count is rated as very high quality.
Census usually resident population count – 2023 Census: Information by concept has more information, for example, definitions and data quality.
Quality of severe housing deprivation data
Severe housing deprivation (homelessness) estimates – updated methodology: 2023 Census has more information on the data quality of this variable.
Dwelling occupancy status quality rating
Dwelling occupancy status is rated as high quality.
Dwelling occupancy status – 2023 Census: Information by concept has more information, for example, definitions and data quality.
Dwelling type quality rating
Dwelling type is rated as moderate quality.
Dwelling type – 2023 Census: Information by concept has more information, for example, definitions and data quality.
Tenure of household quality rating
Tenure of household is rated as moderate quality.
Tenure of household – 2023 Census: Information by concept has more information, for example, definitions and data quality.
Dwelling dampness indicator quality rating
Dwelling dampness indicator is rated as moderate quality.
Housing quality – 2023 Census: Information by concept has more information, for example, definitions and data quality.
Dwelling mould indicator quality rating
Dwelling mould indicator is rated as moderate quality.
Housing quality – 2023 Census: Information by concept has more information, for example, definitions and data quality.
Using data for good
Stats NZ expects that, when working with census
https://www.ibisworld.com/about/termsofuse/https://www.ibisworld.com/about/termsofuse/
The COVID-19 pandemic heightened the focus on health and social services, benefiting the industry through increased government funding and overall demand. However, subsequent to the pandemic, particularly through 2023-24, the Personal Welfare Services industry encountered mounting pressures as economic strains drove more individuals and families to seek support. Despite rising demand, government funding tightened sharply under new fiscal constraints, particularly impacting broad-based community services. While targeted areas like family violence prevention received increased backing, eligibility rules for housing support became stricter, limiting access for many. With more organisations competing for shrinking pools of government and philanthropic funding, the industry has faced growing uncertainty and must adapt to continued funding volatility even as the need for its core services remains elevated. As a result, revenue for the Personal Welfare Services industry is expected to drop at an annualised 1.3% over the five years through 2025-26, to total $2.5 billion.Ongoing issues like a marked increase in substance use have amplified the need for personal welfare services, particularly in drug rehabilitation and counselling. Although inflation and cost-of-living pressures were severe from 2022 to early 2024, recent easing has provided some relief. However, the lingering impacts still weigh heavily on children and vulnerable groups, whose hardship has been exacerbated by reduced welfare support.Looking ahead, personal welfare services will face a more selective funding environment shaped by fiscal restraint and intensified competition. Government spending is expected to prioritise targeted programs, particularly in mental health and family violence prevention, while general community support services risk stagnating or losing ground if they cannot demonstrate clear results. With the population ageing and public funds set to be capped, industry providers will need to adapt by diversifying their income streams beyond government funding and strengthening private sector partnerships, particularly as workforce gaps and rising demand for elder care add further strain. This is will likely culminate in revenue falling at an annualised 1.5% over the five years through 2030-31 to $2.3 billion.
According to a survey on regional homelessness conducted in September 2018, at around 40 percent, the majority of people living in temporary accommodation in the Auckland region in New Zealand were of Māori origin. In the same year, an estimated 16 percent of the entire population of the country were Māori, while only eight percent had a Pacific background.
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According to a survey on regional homelessness conducted in September 2018, at around 83 percent, the majority of people living without a shelter in the Auckland region in New Zealand were male. In the same survey period, around two percent of the homeless population in Auckland identified as neither male nor female.