Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
The map shows the information of significant natural areas and significant natural area bounds in South Waikato District. The map contains two datasets and will be updated as needed.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
A Waikato Regional Council (WRC) version of property boundaries for the Waikato region. It combines legal land parcel (LINZ) and District Valuation Roll (DVR) data sourced from the Territorial Authorities (TA) where the properties lie within the WRC boundary. The join is based on the valuation id, the legal parcel boundaries are aggregated to reflect the boundary for each property.This layer holds a selection of attributes from the WRC property layer for use via Arc GIS Online (AGOL). Holes in the property layer can occur, generally during subdivision activity when a legal land parcel to valuation id match cannot be achieved. These are resolved in due course as the DVR data is received from the relevant TA. Updates are frequently made to the underlying data. Data will be refreshed weekly in AGOL.For further metadata see BOUNDARY.sdeadmin.PROPERTIES_WRC_EXT in dataset Properties - (Pathway and Parcels data)
The maps shows the location of Kawerau in the Bay of Plenty.
https://datafinder.stats.govt.nz/license/attribution-4-0-international/https://datafinder.stats.govt.nz/license/attribution-4-0-international/
Dataset contains Māori descent indicator census usually resident population counts from the 2013, 2018, and 2023 Censuses, as well as the percentage change in the Māori descent indicator counts between the 2013 and 2018 Censuses, and between the 2018 and 2023 Censuses. Data is available by regional council.
Māori descent indicator categories are:
Map shows the percentage change in the Māori descent census usually resident population count between the 2018 and 2023 Censuses.
Download lookup file from Stats NZ ArcGIS Online or embedded attachment in Stats NZ geographic data service.
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.
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.
Caution using time series
Time series data should be interpreted with care due to changes in census methodology and differences in response rates between censuses. The 2023 and 2018 Censuses used a combined census methodology (using census responses and administrative data), while the 2013 Census used a full-field enumeration methodology (with no use of administrative data).
About the 2023 Census dataset
For information on the 2023 dataset see Using a combined census model for the 2023 Census. We combined data from the census forms with administrative data to create the 2023 Census dataset, which meets Stats NZ's quality criteria for population structure information. We added real data about real people to the dataset where we were confident the people who hadn’t completed a census form (which is known as admin enumeration) will be counted. We also used data from the 2018 and 2013 Censuses, administrative data sources, and statistical imputation methods to fill in some missing characteristics of people and dwellings.
Data quality
The quality of data in the 2023 Census is assessed using the quality rating scale and the quality assurance framework to determine whether data is fit for purpose and suitable for release. Data quality assurance in the 2023 Census has more information.
Quality rating of a variable
The quality rating of a variable provides an overall evaluation of data quality for that variable, usually at the highest levels of classification. The quality ratings shown are for the 2023 Census unless stated. There is variability in the quality of data at smaller geographies. Data quality may also vary between censuses, for subpopulations, or when cross tabulated with other variables or at lower levels of the classification. Data quality ratings for 2023 Census variables has more information on quality ratings by variable.
Māori descent concept quality rating
Māori descent is rated as very high quality.
Māori descent – 2023 Census: Information by concept has more information, for example, definitions and data quality.
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.
Symbol
-998 Not applicable
Percentages
To calculate percentages, divide the figure for the category of interest by the figure for ‘Total stated’ where this applies.
Attribution 3.0 (CC BY 3.0)https://creativecommons.org/licenses/by/3.0/
License information was derived automatically
Thames-Coromandel District Council (TCDC) 20m and 5m Contour data.The 20m and 5m Contour Data is derieved from Waikato Regional Aerial Photography Syndicate (WRAPS) File Identifier: 59246669-A010-419B-AD5E-4044B367D459 Parent Identifier: CC89C8AA-1F94-4F59-B2CE-0082402C1BB2 Hierarchy Level: feature Hierarchy Level Name:feature of Aerial Photography - WRAPS 2012 - GIS Layer Abstract: 5m Digital Terrain Model (ESRI ASCII grid) used to orthorectify the aerial photography, tiled to NZTopo50 sheets. Statement: DTM Accuracy suitable for orthophoto generation +/-3.0m. The DTM was created by NZAM using data from existing WRC LiDAR data, Terralink orthophoto DTM and new capture and edits from SN50992. Other Information: The digital orthophotography is designed to either provide a backdrop or be used for analyses in any spatial viewing system. It provides a photographic record of the geographic area at the time the aerial photography was obtained. It also acts as a ‘moment in time’ record of the land cover and land use. The digital orthophotography can have GIS vector data overlays, be draped over a DTM in 3-D software and can be exported to other windows applications such as Word and PowerPoint. Keywords: Aerial photography,DTM,Elevation,WRAPS Topic Category: elevation:height above or below sea level Resource Reference Date: 05/12/2012 The Metadata can be found on Waikato Regional Councils Data Catalogue
https://datafinder.stats.govt.nz/license/attribution-4-0-international/https://datafinder.stats.govt.nz/license/attribution-4-0-international/
Dataset contains life-cycle age group census usually resident population counts from the 2013, 2018, and 2023 Censuses, as well as the percentage change in the age group population counts between the 2013 and 2018 Censuses, and between the 2018 and 2023 Censuses. Data is available by regional council.
The life-cycle age groups are:
Map shows the percentage change in the census usually resident population count for life-cycle age groups between the 2018 and 2023 Censuses.
Download lookup file from Stats NZ ArcGIS Online or embedded attachment in Stats NZ geographic data service. Download data table (excluding the geometry column for CSV files) using the instructions in the Koordinates help guide.
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.
Caution using time series
Time series data should be interpreted with care due to changes in census methodology and differences in response rates between censuses. The 2023 and 2018 Censuses used a combined census methodology (using census responses and administrative data), while the 2013 Census used a full-field enumeration methodology (with no use of administrative data).
About the 2023 Census dataset
For information on the 2023 dataset see Using a combined census model for the 2023 Census. We combined data from the census forms with administrative data to create the 2023 Census dataset, which meets Stats NZ's quality criteria for population structure information. We added real data about real people to the dataset where we were confident the people who hadn’t completed a census form (which is known as admin enumeration) will be counted. We also used data from the 2018 and 2013 Censuses, administrative data sources, and statistical imputation methods to fill in some missing characteristics of people and dwellings.
Data quality
The quality of data in the 2023 Census is assessed using the quality rating scale and the quality assurance framework to determine whether data is fit for purpose and suitable for release. Data quality assurance in the 2023 Census has more information.
Quality rating of a variable
The quality rating of a variable provides an overall evaluation of data quality for that variable, usually at the highest levels of classification. The quality ratings shown are for the 2023 Census unless stated. There is variability in the quality of data at smaller geographies. Data quality may also vary between censuses, for subpopulations, or when cross tabulated with other variables or at lower levels of the classification. Data quality ratings for 2023 Census variables has more information on quality ratings by variable.
Age concept quality rating
Age is rated as very high quality.
Age – 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 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.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
This layer is part of Hamilton City Council's Stormwater Dataset.If you wish to download and consume this entire dataset - click on the link for the file format(s) of your choosing:CAD (DWG) Please note that the links above may change at any time. For best practice, please refer to this page for the correct links. If any of the links are above are not functioning, please let us know at gis@hcc.govt.nz. This Stormwater dataset contains the following layers: Stormwater Abandoned Main (A stormwater main that is still in the ground, but is now disused and no longer forms part of the active network) Stormwater Abandoned Manhole (An opening in a pipe for the purpose of allowing operators or equipment access to the inside of the pipe that is still in the ground but is now disused and no longer forms part of the active network) Stormwater Asbuilts (Plans showing the location and alignment of basic stormwater infrastructure as it was actually constructed on site, as provided by the contractor or their representatives. Data has not yet been fully incorporated into the Council GIS or asset management system) Stormwater Attenuation and Treatment Device (A device used to provide temporary storage and the controlled release of storm water volumes. Located upstream of the receiving environment, devices such as wetlands and ponds may also incorporate a storm water treatment function) Stormwater Catchpit (A device that collects stormwater run-off from the road and transports it along the network) Stormwater Catchpit Lead (A pipe that transports stormwater run-off from catchpits and connects into the stormwater network) Stormwater Channel (An open drain, natural watercourse (such as a stream) or lined channel that collects stormwater run-off from the environment or network) Stormwater Inlet (A structure where stormwater enters either a pipe, pond, culvert or channel) Stormwater Main (A pipe that transports stormwater to a natural watercourse or body of water) Stormwater Manhole (An opening in a pipe for the purpose of allowing operators or equipment access to the inside of the pipe) Stormwater Node (A junction point in a pipe. It can be a structure) Stormwater Outlet (A structure at the end of a pipe or channel that controls the flow of stormwater to a natural watercourse or body of water)Stormwater Service Line (A gravity flow pipeline connecting a building’s direct runoff collection system to a stormwater pipe or a kerb (in the case of kerb and channel connections)) Stormwater Soakage Trench (A subsurface structure into which runoff is conveyed for disposal by infiltration) Stormwater Subsoil Drain (A perforated drain used to collect ground water and transport it to a land drainage or stormwater drainage system) Hamilton City Council 3 Waters data is derived from the Council’s GIS (ArcGIS) dataset. The GIS dataset is synchronised with asset data contained in the Council’s Asset Management (IPS) database. A subset of the GIS dataset has been made available for download. This GIS dataset is currently updated weekly which in turn dynamically updates to the WLASS open data site. Any questions pertaining to this data should be directed to the City Waters Asset Information Team at CityWatersAssetInfo@hcc.govt.nz Hamilton City Council does not make any representation or give any warranty as to the accuracy or exhaustiveness of the data released for public download. Levels, locations and dimensions of works depicted in the data may not be accurate due to circumstances not notified to Council. A physical check should be made on all levels, locations and dimensions before starting design or works. Hamilton City Council shall not be liable for any loss, damage, cost or expense (whether direct or indirect) arising from reliance upon or use of any data provided, or Council's failure to provide this data. While you are free to crop, export and re-purpose the data, we ask that you attribute the Hamilton City Council and clearly state that your work is a derivative and not the authoritative data source. Please include the following statement when distributing any work derived from this data: ‘This work is derived entirely or in part from Hamilton City Council data; the provided information may be updated at any time, and may at times be out of date, inaccurate, and/or incomplete.
https://datafinder.stats.govt.nz/license/attribution-4-0-international/https://datafinder.stats.govt.nz/license/attribution-4-0-international/
Dataset contains ethnic group census usually resident population counts from the 2013, 2018, and 2023 Censuses, as well as the percentage change in the ethnic group population count between the 2013 and 2018 Censuses, and between the 2018 and 2023 Censuses. Data is available by regional council.
The ethnic groups are:
Map shows percentage change in the census usually resident population count for ethnic groups between the 2018 and 2023 Censuses.
Download lookup file from Stats NZ ArcGIS Online or embedded attachment in Stats NZ geographic data service. Download data table (excluding the geometry column for CSV files) using the instructions in the Koordinates help guide.
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.
Caution using time series
Time series data should be interpreted with care due to changes in census methodology and differences in response rates between censuses. The 2023 and 2018 Censuses used a combined census methodology (using census responses and administrative data), while the 2013 Census used a full-field enumeration methodology (with no use of administrative data).
About the 2023 Census dataset
For information on the 2023 dataset see Using a combined census model for the 2023 Census. We combined data from the census forms with administrative data to create the 2023 Census dataset, which meets Stats NZ's quality criteria for population structure information. We added real data about real people to the dataset where we were confident the people who hadn’t completed a census form (which is known as admin enumeration) will be counted. We also used data from the 2018 and 2013 Censuses, administrative data sources, and statistical imputation methods to fill in some missing characteristics of people and dwellings.
Data quality
The quality of data in the 2023 Census is assessed using the quality rating scale and the quality assurance framework to determine whether data is fit for purpose and suitable for release. Data quality assurance in the 2023 Census has more information.
Quality rating of a variable
The quality rating of a variable provides an overall evaluation of data quality for that variable, usually at the highest levels of classification. The quality ratings shown are for the 2023 Census unless stated. There is variability in the quality of data at smaller geographies. Data quality may also vary between censuses, for subpopulations, or when cross tabulated with other variables or at lower levels of the classification. Data quality ratings for 2023 Census variables has more information on quality ratings by variable.
Ethnicity concept quality rating
Ethnicity is rated as high quality.
Ethnicity – 2023 Census: Information by concept has more information, for example, definitions and data quality.
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.
Symbol
-998 Not applicable
Percentages
To calculate percentages, divide the figure for the category of interest by the figure for ‘Total stated’ where this applies.
https://data.linz.govt.nz/license/attribution-4-0-international/https://data.linz.govt.nz/license/attribution-4-0-international/
This is the look-up table for Zoning and is part of the set of District Valuation Roll (DVR) data.
The Zoning look-up table is used by the NZ Properties: National District Valuation Roll table.
Look-up tables are provided to make it easier to interpret coded DVR attributes and are given as reference data, pre-populated with fixed values defined in the Rating Valuations Rules 2008.
More information Please refer to the NZ Properties Data Dictionary for detailed metadata and information about this table.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Modified from vector.GIS.NaturalHazard_Liquefaction. Polygons were dissolved by LiquefactionVulnerabilityCategory to improve online perfomance.Last updated 20/10/2021. Check the master layer to see if there is any update.This layer is used in BOPRC online applications and open data.To provide BOPRC with a region-wide liquefaction vulnerability assessment to identify areas of land susceptible to liquefaction as required in the Regional Policy Statement (RPS). The technical report and resulting map outputs will be used to inform land use, subdivision and building consent applications. In particular the vulnerability assessment outputs will be utilised by stake holders to inform the risk assessment requirements for liquefaction prone land.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Please read:This dataset provides all allocated addresses as advised to LINZ by Territorial Authorities (TAs). Under the Local Government Act 1974 (section 319) it is the responsibility of the TAs to advise LINZ (the Surveyor General) of all allocated addresses in their district. See below for details. This dataset contains the core components of an address to support simple searching or use of this data to provide context. This dataset has been sourced from LINZ’s Address Information Management System (AIMS), a centralised database for the management of national addresses, including for electoral purposes. Please refer to the Street Address Data Dictionary for detailed metadata and information about this dataset. For a comprehensive group of address tables see AIMS: Street Address. 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 Local Government Act 1974 319B Allocation of property numbers (1) For electoral, postal, and other purposes the council may allocate a number to any area of land or building or part of a building within its district and may change the number allocated to any such area of land or building. (2) The council shall comply with any request from a Chief Surveyor to allocate a number to or change the number of any area of land or building or part of a building in its district. (3) The principal administrative officer shall advise the Chief Surveyor of the land district in which the land or building is situated of the numbers allocated under subsection (1) or subsection (2).
https://datafinder.stats.govt.nz/license/attribution-4-0-international/https://datafinder.stats.govt.nz/license/attribution-4-0-international/
Dataset contains census usually resident population counts from the 2013, 2018, and 2023 Censuses, as well as the percentage change in the population count between the 2013 and 2018 Censuses, and between the 2018 and 2023 Censuses. Data is available by regional council.
Map shows the percentage change in the census usually resident population count between the 2018 and 2023 Censuses.
Download lookup file from Stats NZ ArcGIS Online or embedded attachment in Stats NZ geographic data service. Download data table (excluding the geometry column for CSV files) using the instructions in the Koordinates help guide.
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.
Caution using time series
Time series data should be interpreted with care due to changes in census methodology and differences in response rates between censuses. The 2023 and 2018 Censuses used a combined census methodology (using census responses and administrative data), while the 2013 Census used a full-field enumeration methodology (with no use of administrative data).
About the 2023 Census dataset
For information on the 2023 dataset see Using a combined census model for the 2023 Census. We combined data from the census forms with administrative data to create the 2023 Census dataset, which meets Stats NZ's quality criteria for population structure information. We added real data about real people to the dataset where we were confident the people who hadn’t completed a census form (which is known as admin enumeration) will be counted. We also used data from the 2018 and 2013 Censuses, administrative data sources, and statistical imputation methods to fill in some missing characteristics of people and dwellings.
Data quality
The quality of data in the 2023 Census is assessed using the quality rating scale and the quality assurance framework to determine whether data is fit for purpose and suitable for release. Data quality assurance in the 2023 Census has more information.
Quality rating of a variable
The quality rating of a variable provides an overall evaluation of data quality for that variable, usually at the highest levels of classification. The quality ratings shown are for the 2023 Census unless stated. There is variability in the quality of data at smaller geographies. Data quality may also vary between censuses, for subpopulations, or when cross tabulated with other variables or at lower levels of the classification. Data quality ratings for 2023 Census variables has more information on quality ratings by variable.
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.
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.
https://datafinder.stats.govt.nz/license/attribution-4-0-international/https://datafinder.stats.govt.nz/license/attribution-4-0-international/
Dataset contains occupied and unoccupied private dwelling counts from the 2013, 2018, and 2023 Censuses, as well as the percentage change in the occupied and unoccupied private dwelling counts between the 2013 and 2018 Censuses, and between the 2018 and 2023 Censuses. Data is available by regional council.
Map shows the percentage change in number of occupied and unoccupied private dwellings between the 2018 and 2023 Censuses.
Download lookup file from Stats NZ ArcGIS Online or embedded attachment in Stats NZ geographic data service. Download data table (excluding the geometry column for CSV files) using the instructions in the Koordinates help guide.
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.
Caution using time series
Time series data should be interpreted with care due to changes in census methodology and differences in response rates between censuses. The 2023 and 2018 Censuses used a combined census methodology (using census responses and administrative data), while the 2013 Census used a full-field enumeration methodology (with no use of administrative data).
About the 2023 Census dataset
For information on the 2023 dataset see Using a combined census model for the 2023 Census. We combined data from the census forms with administrative data to create the 2023 Census dataset, which meets Stats NZ's quality criteria for population structure information. We added real data about real people to the dataset where we were confident the people who hadn’t completed a census form (which is known as admin enumeration) will be counted. We also used data from the 2018 and 2013 Censuses, administrative data sources, and statistical imputation methods to fill in some missing characteristics of people and dwellings.
Data quality
The quality of data in the 2023 Census is assessed using the quality rating scale and the quality assurance framework to determine whether data is fit for purpose and suitable for release. Data quality assurance in the 2023 Census has more information.
Quality rating of a variable
The quality rating of a variable provides an overall evaluation of data quality for that variable, usually at the highest levels of classification. The quality ratings shown are for the 2023 Census unless stated. There is variability in the quality of data at smaller geographies. Data quality may also vary between censuses, for subpopulations, or when cross tabulated with other variables or at lower levels of the classification. Data quality ratings for 2023 Census variables has more information on quality ratings by variable.
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.
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.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Made available for NPDC GeoHUB (GIS Hub Site and Open Data Portal) :A full description is available in the Metadata. SeeTerms of Use.Notes:The "Updated" date, noted here in the item, does not accurately reflect the currency of the data within the Feature Layer.The data available for download on NPDC GeoHUB is updated daily, this results in differences between what is available online and NPDC's databases.
This wetlands dataset has its origins in the Wetlands of National Importance (WONI) project, which was part of the Sustainable Development Programme of Actions for Freshwaters which had the goal of identifying a list of water bodies that would protect a full range of freshwater biodiversity.
The pre-human extent of wetlands was produced using soil information from the New Zealand Land Resource Inventory (NZLRI) and a 15m digital elevation model (DEM) to refine soil boundaries. Current wetlands were defined by combining existing databases including LCDB2 (Land Cover Database version 2), NZMS 260 Topomaps, existing surveys from Regional Councils, Queen Elizabeth II (QEII) covenant wetland polygons, DOC surveys (WERI database), and the 15m DEM, to define a single set of wetland polygons and centre points. All this data was checked against a standardised set of Landsat imagery using the Ecosat technology and where necessary new wetland boundaries delineated.
Wetlands were classified into 7 groups at the hydro-class level using fuzzy expert rules.
https://data.linz.govt.nz/license/attribution-4-0-international/https://data.linz.govt.nz/license/attribution-4-0-international/
**This dataset is not currently being maintained and includes some track information that is out-of-date. **
The NZ Tracks data identifies walking and biking tracks across New Zealand and has been developed through a collaboration between the Local Government Geospatial Alliance (LGGA), LINZ, Department of Conservation and the Walking Access commission.
The dataset is currently a work in progress. The data has been made available to enable users to access the data supplied to date in its relatively raw form, and to identify the gaps in data provision so that these can be addressed.
The ultimate aim is to provide a national network of walking and biking tracks, including track grade, conditions of use and supplementary information.
For more information about the Local Government Geospatial Alliance project which initiated the creation of this dataset please refer to http://lgga-nz.blogspot.co.nz/p/tracks-project.html Please be aware of the following:
LINZ has not undertaken any data quality assurance on the data geometry or attribution.
The existence of track does not necessarily indicate public right of access.
Closed tracks are defined as being no longer maintained or passable and should not be used by recreationalists.
The Department of Conservation or other authorities should be contacted for the latest information on tracks and huts.
Data is sourced from Local Government and Central Government Agencies, including: Department of Conservation, Walking Access Commission, NZ Transport Agency, Napier City Council, Hastings District Council, Environment Canterbury, Mackenzie District Council, Timaru District Council, Waitaki District Council, Nelson City Council, Tasman District Council, Marlborough District Council, Bay of Plenty Regional Council, Kawerau District Council, Opotiki District Council, Tauranga City Council, Whakatane District Council, Waipa District Council, Waikato District Council, Waikato Regional Council, Invercargill City Council, Environment Southland, New Plymouth District Council, Greater Wellington Regional Council, Wellington City Council, Palmerston North City Council and Ollivier & Company.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
Made available for NPDC GeoHUB (GIS Hub Site and Open Data Portal) :A full description is available in the Metadata. SeeTerms of Use.Notes:The "Updated" date, noted here in the item, does not accurately reflect the currency of the data within the Feature Layer.The data available for download on NPDC GeoHUB is updated daily, this results in differences between what is available online and NPDC's databases.
https://data.linz.govt.nz/license/attribution-4-0-international/https://data.linz.govt.nz/license/attribution-4-0-international/
A record of the severe weather emergency event of Cyclone Gabrielle in February 2023.
Imagery Provided by - Hawkes Bay Regional Council Aerial Acquisition and Orthophoto Production by - SkyCan Limited
Orthophotography within the Hawke's Bay Region covering Wairoa, Esk Valley, Heretaunga Plains (including Napier, Hastings and Havelock North), Poukawa and Waipukurau,
Date of Captures: Esk Region: 19 Feb 2023 0945 to 1150 NZDT Wairoa Region: 19 Feb 2023 1202 to 1340 NZDT Poukawa Region : 21 Feb 2023 1320 to 1500 NZDT Waipukurau, Papanu and Tukituki: 21 Feb 2023 09:50 to 13:40 NZDT Heretaunga Plains: 19-20 Feb 2023 NZDT
Data comprises: • 6160 ortho-rectified RGB GeoTIFF images in NZTM projection, tiled into the LINZ Standard 1:1000 tile layout. • Tile layout in NZTM projection containing relevant information.
The supplied imagery is in terms of New Zealand Transverse Mercator (NZTM) map projection. Please refer to the tile index layer for specific details, naming conventions, etc.
Additional services: • LINZ Basemaps for WMTS and XYZ services • ArcGIS Online for ArcGIS REST service
Index tiles for this dataset are available as layer Hawke's Bay 0.1m Cyclone Gabrielle Aerial Photos Index Tiles (2023)
https://datafinder.stats.govt.nz/license/attribution-4-0-international/https://datafinder.stats.govt.nz/license/attribution-4-0-international/
Statistical Area 2 2023 update
SA2 2023 is the first major update of the geography since it was first created in 2018. The update is to ensure SA2s are relevant and meet criteria before each five-yearly population and dwelling census. SA2 2023 contains 135 new SA2s. Updates were made to reflect real world change of population and dwelling growth mainly in urban areas, and to make some improvements to their delineation of communities of interest.
Description
This dataset is the definitive version of the annually released statistical area 2 (SA2) boundaries as at 1 January 2023 as defined by Stats NZ. This version contains 2,395 SA2s (2,379 digitised and 16 with empty or null geometries (non-digitised)).
SA2 is an output geography that provides higher aggregations of population data than can be provided at the statistical area 1 (SA1) level. The SA2 geography aims to reflect communities that interact together socially and economically. In populated areas, SA2s generally contain similar sized populations.
The SA2 should:
form a contiguous cluster of one or more SA1s,
excluding exceptions below, allow the release of multivariate statistics with minimal data suppression,
capture a similar type of area, such as a high-density urban area, farmland, wilderness area, and water area,
be socially homogeneous and capture a community of interest. It may have, for example:
form a nested hierarchy with statistical output geographies and administrative boundaries. It must:
SA2s in city council areas generally have a population of 2,000–4,000 residents while SA2s in district council areas generally have a population of 1,000–3,000 residents.
In major urban areas, an SA2 or a group of SA2s often approximates a single suburb. In rural areas, rural settlements are included in their respective SA2 with the surrounding rural area.
SA2s in urban areas where there is significant business and industrial activity, for example ports, airports, industrial, commercial, and retail areas, often have fewer than 1,000 residents. These SA2s are useful for analysing business demographics, labour markets, and commuting patterns.
In rural areas, some SA2s have fewer than 1,000 residents because they are in conservation areas or contain sparse populations that cover a large area.
To minimise suppression of population data, small islands with zero or low populations close to the mainland, and marinas are generally included in their adjacent land-based SA2.
Zero or nominal population SA2s
To ensure that the SA2 geography covers all of New Zealand and aligns with New Zealand’s topography and local government boundaries, some SA2s have zero or nominal populations. These include:
400001; New Zealand Economic Zone, 400002; Oceanic Kermadec Islands, 400003; Kermadec Islands, 400004; Oceanic Oil Rig Taranaki, 400005; Oceanic Campbell Island, 400006; Campbell Island, 400007; Oceanic Oil Rig Southland, 400008; Oceanic Auckland Islands, 400009; Auckland Islands, 400010 ; Oceanic Bounty Islands, 400011; Bounty Islands, 400012; Oceanic Snares Islands, 400013; Snares Islands, 400014; Oceanic Antipodes Islands, 400015; Antipodes Islands, 400016; Ross Dependency.
SA2 numbering and naming
Each SA2 is a single geographic entity with a name and a numeric code. The name refers to a geographic feature or a recognised place name or suburb. In some instances where place names are the same or very similar, the SA2s are differentiated by their territorial authority name, for example, Gladstone (Carterton District) and Gladstone (Invercargill City).
SA2 codes have six digits. North Island SA2 codes start with a 1 or 2, South Island SA2 codes start with a 3 and non-digitised SA2 codes start with a 4. They are numbered approximately north to south within their respective territorial authorities. To ensure the north–south code pattern is maintained, the SA2 codes were given 00 for the last two digits when the geography was created in 2018. When SA2 names or boundaries change only the last two digits of the code will change.
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.
Macrons
Names are provided with and without tohutō/macrons. The column name for those without macrons is suffixed ‘ascii’.
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
https://datafinder.stats.govt.nz/license/attribution-4-0-international/https://datafinder.stats.govt.nz/license/attribution-4-0-international/
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
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
The map shows the information of significant natural areas and significant natural area bounds in South Waikato District. The map contains two datasets and will be updated as needed.