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Housing Index in New Zealand decreased to 2287 Points in September from 2303 Points in August of 2025. This dataset provides - New Zealand House Prices MoM Change - actual values, historical data, forecast, chart, statistics, economic calendar and news.
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NZ Addresses is the national authoritative dataset for physical addresses in New Zealand.
This dataset contains the street number, street name and suburb of an address, as well as a unique ID and Territorial Authority.
Refer to the NZ Addresses Data Dictionary for detailed metadata and information about this dataset.
Please note this dataset replaced NZ Street Address in January 2023.
Background
This dataset provides all allocated addresses as advised to Toitū Te Whenua LINZ by Territorial Authorities (TAs). Under the Local Government Act 1974 (section 319) it is the responsibility of the TAs to advise the Surveyor-General at Toitū Te Whenua LINZ of all allocated addresses in their district.
Address data is maintained by Toitū Te Whenua LINZ in the Address Information Management System (AIMS) and Comprehensive Address Data Store (CADS), which are centralised databases for the management of national addresses, including for electoral purposes. This dataset is updated weekly on the LINZ Data Service.
APIs and web services This dataset is available via ArcGIS Online and ArcGIS REST services, as well as our standard APIs. LDS APIs and OGC web services ArcGIS Online map services
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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
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This dataset includes geotechnical reports available throughout Auckland Council systems. Geotechnical reports are written by suitably qualified and experienced geotechnical engineers or engineering geologists and include information on ground quality and subsurface geology. They are generally undertaken for infrastructure and building development or land use planningGeotechnical reports are received by council as part of consent applications, and are stored on the related property file. For each legacy council these records were located with the help of the document management team. Although spatial data was generated by property, the final database is not tagged to property parcels. Where feasible, detailed location polygons were generated using site maps available in the individual reports. In addition, some geotechnical reports are received by council for our own projects. These are also provided where available.This database was August 2020. All reports are available either on the Geotechnical Sharepoint or on ACCORD. Editing of this dataset can be done with the approval of Ross Roberts. geotechnical reports (i.e. tag them as Geotech and edit the GIS geometr, or a secondary process mayautomatically created property based geometry). Report data will be stored in OpenText/Accord, and will be flagged in SAPLineage: Data was extracted from legacy council databases sourced from:ACC/FDC Filenet ReportsNSCC Dataworks ReportsWCC Pathway ReportsRDC Pathway ReportsMCC Alchemy ReportsSAP Reports (2015-2019)ACGD Partner Reports (Watercare)These were evaluated to remove duplicate records, and associated with property records. Using property records a process was created for a one off load of the data (Geospatial team) using the property boundaries to create a base geometry. As one area may have several reports a separate related table was created to hold summary details of the reports. (Geotechnical Report Details)As some reports were not property based areas were manually digitised to indicate the extent of the report area.Future updates:As at this date the data is not yet updated - though it is intended that:The database will be updated whenever a new report is received. When a geotechnical report comes into council as part of a resource or building consent, the SAP team will need to follow the SAP protocol for In addition, new consent applications with geotechnical reports will be added, as will geotechnical reports undertaken for Auckland Council projects. Reports from other sources (e.g. CCOs, other crown entities) may be added where appropriate.
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This dataset is the definitive of the annually released meshblock boundaries as at 1 January 2024 as defined by Stats NZ. This version contains 57,539 meshblocks, including 16 with empty or null geometries (non-digitised meshblocks).
Stats NZ maintains an annual meshblock pattern for collecting and producing statistical data. This allows data to be compared over time.
A meshblock is the smallest geographic unit for which statistical data is collected and processed by Stats NZ. A meshblock is a defined geographic area, which can vary in size from part of a city block to a large area of rural land. The optimal size for a meshblock is 30–60 dwellings (containing approximately 60–120 residents).
Each meshblock borders on another to form a network covering all of New Zealand, including coasts and inlets and extending out to the 200-mile economic zone (EEZ) and is digitised to the 12-mile (19.3km) limit. Meshblocks are added together to build up larger geographic areas such as statistical area 1 (SA1), statistical area 2 (SA2), statistical area 3 (SA3), and urban rural (UR). They are also used to define electoral districts, territorial authorities, and regional councils.
Meshblock boundaries generally follow road centrelines, cadastral property boundaries, or topographical features such as rivers. Expanses of water in the form of lakes and inlets are defined separately from land.
Meshblock maintenance
Meshblock boundaries are amended by:
Reasons for meshblock splits and nudges can include:
· to maintain meshblock criteria rules.
· to improve the size balance of meshblocks in areas where there has been population growth
· to maintain alignment to cadastre and other geographic features.
· Stats NZ requests for boundary changes so that statistical geography boundaries can be moved
· external requests for boundary changes so that administrative or electoral boundaries can be moved
· to separate land and water. Mainland, inland water, islands, inlets, and oceanic are defined separately
Meshblock changes are made throughout the year. A major release is made at 1 January each year with ad hoc releases available to users at other times.
While meshblock boundaries are continually under review, 'freezes' on changes to the boundaries are applied periodically. Such 'freezes' are imposed at the time of population censuses and during periods of intense electoral activity, for example, prior and during general and local body elections.
Meshblock numbering
Meshblocks are not named and have seven-digit codes.
When meshblocks are split, each new meshblock is given a new code. The original meshblock codes no longer exist within that version and future versions of the meshblock classification. Meshblock codes do not change when a meshblock boundary is nudged.
Meshblocks that existed prior to 2015 and have not changed are numbered from 0000100 to 3210003. Meshblocks created from 2015 onwards are numbered from 4000000.
Digitised and non-digitised meshblocks
The digital geographic boundaries are defined and maintained by Stats NZ.
Meshblocks cover the land area of New Zealand, the water area to the 12mile limit, the Chatham Islands, Kermadec Islands, sub-Antarctic islands, offshore oil rigs, and Ross Dependency. The following 16 meshblocks are not held in digitised form.
Meshblock / Location (statistical area 2 name)
For more information please refer to the Statistical standard for geographic areas 2023.
High definition version
This high definition (HD) version is the most detailed geometry, suitable for use in GIS for geometric analysis operations and for the computation of areas, centroids and other metrics. The HD version is aligned to the LINZ cadastre.
Digital Data
Digital boundary data became freely available on 1 July 2007.
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This dataset provides river name lines for mainland New Zealand. It is part of a pilot to understand the benefit of combining river names and location, and making these openly available through the LINZ Data Service.
Unnamed rivers are also included in this dataset.
How this data can be used
Together with the NZ River Name Polygons (Pilot) dataset, these are the first openly available datasets with NZ river names attributed to geometry features (lines and polygons). This data can be used for searching for a named river and zooming to its extents, extracting geometries of a named river, creating digital cartographic products displaying river names, and analysing other features against named rivers (e.g. identifying buildings or properties within a specified distance of a particular river).
Data vintage
The river names and extents in this dataset are based on the cartographic text shown on NZ Topo50 maps as of December 2018, and are an approximation and should not be taken as official. Further details are included in the 'Naming Extents Methodology' section in the 'Lineage' of this metadata. Please refer to the NZ River Name Lines and Polygons (Pilot) Data Dictionary for detailed metadata and information about this dataset.
Related data
NZ River Name Polygons (Pilot) - contains larger rivers captured as polygon features instead of lines.
We recommend using the two river name datasets with the following NZ Topo50 layers for connectivity and visualisation of inland hydrographic features.
The NZ River Name Lines and Polygons (Pilot) Data Dictionary provides details on how to download the matching time period snapshots of this data.
Please note
Official geographic names as listed in the New Zealand Gazetteer of place names must be used in all official documents as per the New Zealand Geographic Board (Ngā Pou Taunaha o Aotearoa) Act 2008.
This pilot dataset is unlikely to be updated, however feedback will be used for future enhancements to LINZ river datasets.
APIs and web services This dataset is available via ArcGIS Online and ArcGIS REST services, as well as our standard APIs. LDS APIs and OGC web services ArcGIS Online map services
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NZ Suburbs and Localities describes the spatial extent and name of communities in urban areas (suburbs) and rural areas (localities) for navigation and location purposes.
The suburb and locality boundaries cover New Zealand including North Island, South Island, Stewart Island/Rakiura, Chatham Islands, and nearby offshore islands.
Each suburb and locality is assigned a name, major name, Territorial Authority and, if appropriate, additional in use names. A population estimate is provided for each suburb and locality by Stats NZ.
For more information please refer to the NZ Suburbs and Localities Data Dictionary and the LINZ Website
Changes to NZ Suburbs and Localities can be requested by emailing addresses@linz.govt.nz
Change Request Guidance Documents: - Change Request Process - Change Request Principles, Requirements and Rules
APIs and web services
This dataset is available via ArcGIS Online and ArcGIS REST services, as well as our standard APIs. LDS APIs and OGC web services ArcGIS Online map services
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Authors: L.G. Garrett1, M.S. Watt2, C.W. Ross3, G. Coker2, M.R. Davis2, J. Sanderman4, R. Parfitt3, J. Dando3, R. Simcock5, D.J. Palmer2, F. Dean1, S. Patel1, J.H. Bridson1, T. Carlin2, T. Payn1, B. Richardson1, A. Dunningham1, P.W. Clinton2.
Affiliation: 1 Scion, Private Bag 3020, Rotorua 3046, New Zealand; 2 Scion, PO Box 29237, Riccarton, Christchurch 8440, New Zealand; 3 Manaaki Whenua – Landcare Research, Private Bag 11052, Palmerston North, New Zealand; 4 Woodwell Climate Research Center, 149 Woods Hole Road, Falmouth, MA 02540, USA; 5 Manaaki Whenua – Landcare Research, Private Bag 92170, Auckland, New Zealand.
A soil dataset from the FR380 trial series spanning 35 Pinus radiata forest sites in New Zealand. The dataset underpins three existing publications by Watt et al. (2005; 2008) and Ross et al. (2009) which details sample sites and the time zero (i.e. time of tree planting) sample collection and testing method. The publication by Garrett et al., (2022) details the soil mid-infrared spectroscopy method and extension on soil chemistry testing using the same time zero samples.
The data is identified by an individual trial site ID and soil profile ID. Individual samples collected from site/soil profile are then identified by an individual soil horizon number and lab letter. Soil chemistry testing was undertaken at two laboratories, Manaaki Whenua - Landcare Research and Scion, which allocated individual lab ID’s. The linkage between these two sample ID’s, allocated to the same sample, are shown in the file ‘FR380_chemical’. The MIR spectra files use the Scion lab sample ID.
The data includes:
· File ‘FR380_sitedescription’: FR380 trial site description by trial ID and soil profile ID, including site location and description, soil classification, land use at time of trial installation and forest rotation number.
· File ‘’FR380_soilprofile’: FR380 trial site soil profile description by trial ID, soil profile ID and horizon number.
· File ‘FR380_chemical’: FR380 trial soil chemical properties by trial ID, soil profile ID, horizon number and lab letter, and induvial laboratory soil chemistry sample ID from both Manaaki Whenua - Landcare Research and Scion.
· File ‘FR380_particlesize: FR380 trial soil particle size properties by trial ID, soil profile ID and horizon number and lab letter.
· File ‘FR380_physical’: FR380 trial soil physical properties by trial ID, soil profile ID, horizon number and lab letter.
· Folder ‘FR380_MIR spectra’: FR380 trial soil Mid-Infrared spectra opus files by Scion sample ID.
· Folder ‘FR380_MIR spectra_csv’: FR380 trial soil Mid-Infrared spectra csv files by Scion sample ID.
· Folder ‘FR380_soil profile images’: FR380 trial soil profile image files by trial site ID.
Contact: Loretta Garrett (loretta.garrett@scionresearch.com)
Acknowledgments
Funding to publish the data came from the Tree-Root-Microbiome programme, which is funded by Ministry of Business, Innovation & Employment (MBIE) Endeavour Fund and in part by the New Zealand Forest Growers Levy Trust (C04X2002). Funding for the soil spectroscopy data and extension of soil chemical properties came from the Resilient Forest programme, which is funded by New Zealand Ministry of Business, Innovation & Employment (MBIE) Strategic Science Investment Fund, and in part by the New Zealand Forest Growers Levy Trust (C04X1703) and the Tree-Root-Microbiome programme (C04X2002). Funding for the sample collection and initial testing was provided from the Protecting and Enhancing the Environment through Forestry, which was funded by the New Zealand Foundation for Research, Science and Technology (C04X0304). Sites for the trial series were provided by numerous forest companies and private land owners, for which we are grateful. Individual laboratories who provided soil analyses are identified in the dataset and thanked.
References
Garrett LG, Sanderman J, Palmer DJ, Dean F, Patel S, Bridson JH, Carlin T (2022) Mid-infrared spectroscopy for planted forest soil and foliage nutrition predictions, New Zealand case study. Trees, Forests and People 8: 100280. https://doi.org/10.1016/j.tfp.2022.100280
Ross, C.W., Watt, M.S., Parfitt, R.L., Simcock, R., Dando, J., Coker, G., Clinton, P.W., Davis, M.R., 2009. Soil quality relationships with tree growth in exotic forests in New Zealand. Forest Ecology and Management 258, 2326-2334. https://doi.org/10.1016/j.foreco.2009.05.026
Watt, M.S., Coker, G., Clinton, P.W., Davis, M.R., Parfitt, R., Simcock, R., Garrett, L., Payn, T., Richardson, B., Dunningham, A., 2005. Defining sustainability of plantation forests through identification of site quality indicators influencing productivity—A national view for New Zealand. Forest Ecology and Management 216, 51-63. https://doi.org/10.1016/j.foreco.2005.05.064
Watt, M.S., Davis, M.R., Clinton, P.W., Coker, G., Ross, C., Dando, J., Parfitt, R.L., Simcock, R., 2008. Identification of key soil indicators influencing plantation productivity and sustainability across a national trial series in New Zealand. Forest Ecology and Management 256, 180-190. https://doi.org/10.1016/j.foreco.2008.04.024
Disclaimer
We make no warranties regarding the accuracy or integrity of the Data. We accept no liability for any direct, indirect, special, consequential or other losses or damages of whatsoever kind arising out of access to, or the use of the Data. We are in no way to be held responsible for the use that you put the Data to. You rely on the Data entirely at your own risk.
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This dataset is the definitive of the annually released meshblock boundaries as at 1 January 2023 as defined by Stats NZ (the custodian), clipped to the coastline. This clipped version has been created for cartographic purposes and so does not fully represent the official full extent boundaries. This version contains 57,539 meshblocks.
Stats NZ maintains an annual meshblock pattern for collecting and producing statistical data. This allows data to be compared over time.
A meshblock is the smallest geographic unit for which statistical data is collected and processed by Stats NZ. A meshblock is a defined geographic area, which can vary in size from part of a city block to a large area of rural land. The optimal size for a meshblock is 30–60 dwellings (containing approximately 60–120 residents).
Each meshblock borders on another to form a network covering all of New Zealand, including coasts and inlets and extending out to the 200-mile economic zone (EEZ) and is digitised to the 12-mile (19.3km) limit. Meshblocks are added together to build up larger geographic areas such as statistical area 1 (SA1), statistical area 2 (SA2), statistical area 3 (SA3), and urban rural (UR). They are also used to define electoral districts, territorial authorities, and regional councils.
Meshblock boundaries generally follow road centrelines, cadastral property boundaries, or topographical features such as rivers. Expanses of water in the form of lakes and inlets are defined separately from land.
Meshblock maintenance
Meshblock boundaries are amended by:
Reasons for meshblock splits and nudges can include:
·to maintain meshblock criteria rules.
·to improve the size balance of meshblocks in areas where there has been population growth
·to maintain alignment to cadastre and other geographic features.
·Stats NZ requests for boundary changes so that statistical geography boundaries can be moved
·external requests for boundary changes so that administrative or electoral boundaries can be moved
·to separate land and water. Mainland, inland water, islands, inlets, and oceanic are defined separately
Meshblock changes are made throughout the year. A major release is made at 1 January each year with ad hoc releases available to users at other times.
While meshblock boundaries are continually under review, 'freezes' on changes to the boundaries are applied periodically. Such 'freezes' are imposed at the time of population censuses and during periods of intense electoral activity, for example, prior and during general and local body elections.
Meshblock numbering
Meshblocks are not named and have seven-digit codes.
When meshblocks are split, each new meshblock is given a new code. The original meshblock codes no longer exist within that version and future versions of the meshblock classification. Meshblock codes do not change when a meshblock boundary is nudged.
Meshblocks that existed prior to 2015 and have not changed are numbered from 0000100 to 3210003. Meshblocks created from 2015 onwards are numbered from 4000000.
Digitised and non-digitised meshblocks
The digital geographic boundaries are defined and maintained by Stats NZ.
Meshblocks cover the land area of New Zealand, the water area to the 12mile limit, the Chatham Islands, Kermadec Islands, sub-Antarctic islands, offshore oil rigs, and Ross Dependency. The following 16 meshblocks are not held in digitised form.
Meshblock / Location (statistical area 2 name)
For more information please refer to the Statistical standard for geographic areas 2023.
Generalised version
This generalised version has been simplified for rapid drawing and is designed for thematic or web mapping purposes.
Digital data
Digital boundary data became freely available on 1 July 2007.
To download geographic classifications in table formats such as CSV please use Ariā
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Housing Index in New Zealand decreased to 2287 Points in September from 2303 Points in August of 2025. This dataset provides - New Zealand House Prices MoM Change - actual values, historical data, forecast, chart, statistics, economic calendar and news.