2018 Census age, sex, and ethnicity by Urban Rural

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Creative Commons Attribution 4.0 International

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662
16
Added
13 Sep 2021

This dataset was first added to Stats NZ Geographic Data Service on 13 Sep 2021.

This dataset contains sex by ethnic group (grouped total responses), for the census usually resident population count, 2006, 2013, and 2018 Censuses for urban rural areas.

The dataset uses geographic boundaries as at 1 January 2018. For explanation of the urban rural classification see Statistical standard for geographic areas 2018.

Definitions

The census usually resident population count (CURP) 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. The CURP variable is rated as high quality.

Ethnic group includes all people who stated each ethnic group, whether as their only ethnic group or as one of several ethnic groups. Where a person reported more than one ethnic group, they have been counted in each applicable group. The Ethnicity variable is rated as high quality.

Quality

For information on quality ratings by variable, please see Data quality ratings for 2018 census variables.

Due to changes in the 2018 Census methodology and lower than anticipated response rates, time series data should be interpreted with care.

Confidentiality

The 2018 Census confidentiality rules have been applied to 2006, 2013, and 2018 data. These rules protect the confidentiality of individuals, families, households, dwellings, and undertakings in 2018 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.

For more information on the most recent 2018 Census confidentiality rules see Applying confidentiality rules to 2018 Census data and summary of changes since 2013

Layer ID 106052
Data type Vector multipolygon
Feature count 722 (incl. 4 with empty or null geometries)
Primary key UR2018_V1_00
Services Vector Query API, Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

2018 Census selected variables by Regional Council Urban Accessibility Indicator

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Creative Commons Attribution 4.0 International

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732
20
Added
12 Sep 2021

This dataset was first added to Stats NZ Geographic Data Service on 12 Sep 2021.

This dataset contains counts for urban accessibility geography by region for selected variables from the 2018, 2013, and 2006 censuses. Estimated resident populations for 1996–2020 are also included.

Urban accessibility measures the degree of urban influence New Zealand’s urban areas have on surrounding rural areas. It classifies the geographic accessibility of rural statistical area 1s (SA1s) and small urban areas according to their proximity, or degree of remoteness, to larger urban areas. To find out more about the urban accessibility classification see Urban accessibility – methodology and classification.

The urban accessibility categories are:

· major urban area – 100,000 or more residents

· large urban area – 30,000–99,999 residents

· medium urban area – 10,000–29,999 residents

· high urban accessibility – small urban areas (1,000–9,999 residents) and rural SA1s within 0 to 15 minutes from major urban areas

· medium urban accessibility – small urban areas and rural SA1s within: 15 to 25 minutes from major urban areas, 0 to 25 minutes from large urban areas, 0 to 15 minutes from medium urban areas

· low urban accessibility – small urban areas and rural SA2s within: 25 to 60 minutes from major or large urban areas, 15 to 60 minutes from medium urban areas

· remote – small urban areas and rural SA1s within 60 to 120 minutes from major, large, or medium urban areas

· very remote – small urban areas and rural SA1s more than 120 minutes from major, large, or medium urban areas

· water areas – inland water, inlet, oceanic.

The dataset uses geographic boundaries (SA1, urban area, regional council) as at 1 January 2018. For explanation of geographies see Statistical standard for geographic areas 2018.

Included in this dataset:

· estimated resident population at 30 June 1996-2020

· 2006, 2013, and 2018 Census usually resident population and sex

· 2018 Census usually resident: age (10-year groups), median age, ethnic group, birthplace, work and labour force status, status in employment, occupation, industry, highest qualification, sources of personal income, total personal income (grouped), median income, individual home ownership, languages spoken, religious affiliation, main means of travel to work by usual residence address, main means of travel to education by usual residence address, New Zealand Index of deprivation

· 2018 Census dwellings: dwelling type, main types of heating used, dwelling dampness, dwelling mould

· 2018 Census households: tenure of household, access to telecommunication systems; number of motor vehicles.

The data uses fixed random rounding to protect confidentiality. Some counts of less than 6 are suppressed according to 2018 confidentiality rules. Values of ‘-999’ indicate suppressed data.

Medians are calculated from unrounded counts, with input noise added to or subtracted from each contributing value during measures calculation. Medians based on less than six individuals are suppressed.

For further information on this dataset please refer to the 2018 Census urban accessibility dataset on the 2018 Census webpage - Excel workbook (including data quality ratings and footnotes).

Layer ID 106046
Data type Vector multipolygon
Feature count 140
Primary key RC_IUA2018_V1_00
Services Vector Query API, Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

Regional Council Urban Accessibility Indicator 2018

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Creative Commons Attribution 4.0 International

You may use this work for commercial purposes.

You must attribute the creator in your own works.

422
12
Added
06 Sep 2021

This dataset was first added to Stats NZ Geographic Data Service on 06 Sep 2021.

RC_IUA 2018 contains urban accessibility classes by regional council geography. The dataset uses geographic boundaries (urban accessibility indicator (IUA), regional council (RC) as at 1 January 2018.

To download census and other data for this classification go to '2018 Census selected variables by Regional Council Urban Accessibility Indicator 2018'.

The urban accessibility (IUA) indicator measures the degree of urban influence New Zealand’s urban areas have on surrounding rural areas. It classifies the geographic accessibility of rural statistical area 1s (SA1s) and small urban areas according to their proximity, or degree of remoteness, to larger urban areas. The full classification is: 111 Major urban area 112 Large urban area 113 Medium urban area 221 High urban accessibility 222 Medium urban accessibility 223 Low urban accessibility 224 Remote 225 Very remote 331 Inland water 332 Inlet 333 Oceanic.

Regional council (RC) boundaries for 2018 are defined by the regional councils and/or Local Government Commission and maintained by Stats NZ. This version contains 16 regional councils. The full classification is: 01 Northland Region 02 Auckland Region 03 Waikato Region 04 Bay of Plenty Region 05 Gisborne Region 06Hawke's Bay Region 07 Taranaki Region 08 Manawatu-Wanganui Region 09 Wellington Region 12 West Coast Region 13 Canterbury Region 14 Otago Region 15 Southland Region 16 Tasman Region 17 Nelson Region 18 Marlborough Region 99 Area Outside Region.

The RC_IUA codes and names combine the RC and IUA codes and names, e.g. 01112 Northland Region_Major urban area.There are 140 classes. Some regional council areas do not contain all IUA classes but each region has at least four IUA classes.

Layer ID 106011
Data type Vector multipolygon
Feature count 140
Primary key RC_IUA2018_V1_00
Services Vector Query API, Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

Meshblock Urban Accessibility Indicator Higher Geographies 2018 (generalised)

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Creative Commons Attribution 4.0 International

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299
5
Added
06 Sep 2021

This dataset was first added to Stats NZ Geographic Data Service on 06 Sep 2021.

This dataset is the definitive set of 2018 meshblock boundaries and higher geographies that may be used with the Regional Council Urban Accessibility Indicator 2018 (RC_IUA 2018). The higher geographies in this dataset are statistical area 1 (SA1), urban accessibility indicator (IUA) and regional council (REGC). This version contains 53,589 meshblocks.

Digital boundary data became freely available on 1 July 2007. This generalised version has been simplified for rapid drawing and is designed for thematic or web mapping purposes.

Layer ID 106010
Data type Vector multipolygon
Feature count 53589 (incl. 16 with empty or null geometries)
Primary key MB2018_V1_00
Services Vector Query API, Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

Urban Area 2014 (clipped)

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Creative Commons Attribution 4.0 International

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755
1
Added
26 Jul 2021

This dataset was first added to Stats NZ Geographic Data Service on 26 Jul 2021.

This dataset is the definitive set of urban area boundaries for 2014 as defined by Statistics New Zealand.

Urban areas are statistically defined areas with no administrative or legal basis. Urban area populations are defined internationally as towns with 1000 people or more.

There is a three part hierarchal sub-division of urban areas into:

  • Main Urban Areas
  • Secondary Urban Areas
  • Minor Urban Areas

As at 1st July 2007, Digital Boundary data became freely available.

This generalised version has been simplified for rapid drawing and is designed for thematic or web mapping purposes.

Layer ID 105738
Data type Vector multipolygon
Feature count 148
Services Vector Query API, Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

Community Board 2014 (clipped)

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Creative Commons Attribution 4.0 International

You may use this work for commercial purposes.

You must attribute the creator in your own works.

755
1
Added
23 Jul 2021

This dataset was first added to Stats NZ Geographic Data Service on 23 Jul 2021.

This dataset is the definitive set of community board boundaries for 2014 as defined by the territorial authorities and Local Government Commission but maintained by Statistics New Zealand, who is the custodian.

Community boards are set up under the Local Government Act 2002 and Local Electoral Act 2001. Their purpose is to administer the affairs of communities with populations not less than 1,500 within rural, urban or metropolitan districts of a territorial authority.

As at 1st July 2007, Digital Boundary data became freely available.

This generalised version has been simplified for rapid drawing and is designed for thematic or web mapping purposes.

Layer ID 105734
Data type Vector multipolygon
Feature count 189
Services Vector Query API, Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

Community Board 2012 (clipped)

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Creative Commons Attribution 4.0 International

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You must attribute the creator in your own works.

760
1
Added
22 Jul 2021

This dataset was first added to Stats NZ Geographic Data Service on 22 Jul 2021.

This dataset is the definitive set of Community Board boundaries for 2011 as defined by the territorial authorities and Local Government Commission but maintained by Statistics New Zealand, who are the custodian.

Community Boards are set up under the Local Government Act 2002 and Local Electoral Act 2001. Their purpose is to administer the affairs of communities with populations not less than 1,500 within rural, urban or metropolitan districts of a territorial authority. Community boards and their boundaries are reviewed in the year immediately preceding the triennial local government elections.

As at 1st July 2007, Digital Boundary data became freely available.

This generalised version has been simplified for rapid drawing and is designed for thematic or web mapping purposes.

Layer ID 105708
Data type Vector multipolygon
Feature count 194
Services Vector Query API, Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

Ward 2012 (generalised)

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Creative Commons Attribution 4.0 International

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You must attribute the creator in your own works.

805
2
Updated
21 Jul 2021

This dataset was last updated on Stats NZ Geographic Data Service on 21 Jul 2021.

This dataset is the definitive set of ward boundaries at 1 January 2012 as defined by the territorial authorities and/or Local Government Commission, but maintained by Statistics New Zealand (who are the custodian). This version contains 258 categories.

Wards were originally set up within any territorial authority with a population of at least 20,000. Wards are defined under the Local Electoral Act 2001 and result from dividing a territorial authority for electoral purposes. Ward boundaries are reviewed in the year before the three-yearly local government elections.

Layer ID 105696
Data type Vector multipolygon
Feature count 258
Services Vector Query API, Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

New Zealand business demography statistics at February 2020 (on statistical area 2 2020)

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Creative Commons Attribution 4.0 International

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You must attribute the creator in your own works.

3311
139
Added
29 Mar 2021

This dataset was first added to Stats NZ Geographic Data Service on 29 Mar 2021.

Business demography statistics

Business demography statistics provide an annual snapshot (as at February) of the structure and characteristics of New Zealand businesses. Statistics produced include counts of enterprises and geographic units by industry, geography such as region or statistical area 2 (SA2), institutional sector, business type, degree of overseas ownership, enterprise births, enterprise deaths, survival rate of enterprises and employment levels.

The series covers economically significant private-sector and public-sector enterprises that are engaged in the production of goods and services in New Zealand. These enterprises are maintained on the Statistics NZ Business Register (BR), which generally includes all employing units and those enterprises with GST turnover greater than $30,000 per year.

For further information: www.stats.govt.nz/information-releases/new-zealand...

Statistical geography

This dataset provides data for the SA2 geography (SA22020_V1_00). Names are provided with and without tohutō/macrons. The name field without macrons is suffixed ‘ascii’. Data for earlier years is available in NZ.Stat– see Geographic units by industry and statistical area 2000-2020.

Geographic units

The geographic unit represents a business location engaged in one, or predominantly one, kind of economic activity at a single physical site or base (e.g. a factory, a farm, a shop, an office). Geographic units are unique to enterprises and an enterprise unit can have one or many geographic units (business locations). Typically, an enterprise unit only has a single geographic unit, unless the enterprise has paid employees who permanently work at more than one location. Geographic units can be transferred between enterprises (e.g. enterprise B purchases a factory (a geographic unit on the BR) as a going concern from enterprise A).

Employee count data

Employee counts (ECs) are sourced from the Inland Revenue employer monthly schedule (EMS) tax form.

Industry

The Australian and New Zealand Standard Industrial Classification (ANZSIC) 2006 is used to compile Business Demography statistics. The classification can be viewed and downloaded from Ariā.

ANZSIC 2006 divisions are:

A Agriculture, Forestry and Fishing

B Mining

C Manufacturing

D Electricity, Gas, Water and Waste Services

E Construction

F Wholesale Trade

G Retail Trade

H Accommodation and Food Services

I Transport, Postal and Warehousing

J Information Media and Telecommunications

K Financial and Insurance Services

L Rental, Hiring and Real Estate Services

M Professional, Scientific and Technical Services

N Administrative and Support Services

O Public Administration and Safety

P Education and Training

Q Health Care and Social Assistance

R Arts and Recreation Services

S Other Services

Total Industry

Rounding

Enterprise, geographic unit, and EC counts are randomly rounded. Due to rounding, individual figures may not sum to the published totals.

Quality limitations of fine-level data, including SA2-level data

We recommend caution when using fine-level regional and industry business demography data. The Business Register (BR) supports quality national-level and aggregate industry-level statistics but is not designed to provide quality fine-level regional or industry statistics. The BR update sources can have timing lags and less robust information for small and medium-sized enterprises. These quality weaknesses can be highlighted in fine-level business demography statistics.

For more information about data quality and available data go to DataInfo+.

Layer ID 105388
Data type Vector multipolygon
Feature count 2239
Services Vector Query API, Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed

Functional Urban Area 2018

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Creative Commons Attribution 4.0 International

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You must attribute the creator in your own works.

3257
98
Added
10 Feb 2021

This dataset was first added to Stats NZ Geographic Data Service on 10 Feb 2021.

The functional urban area (FUA) classification identifies small urban areas and rural areas that are integrated with larger urban areas to create FUAs.

Workplace address and usual residence address data from the 2018 Census of Population and Dwellings were used to identify satellite urban areas (1,000–4,999 residents), and rural statistical area 1s (SA1s) from which at least 40 percent of workers commuted to urban areas with more than 5,000 residents.

An FUA includes Urban rural (UR) 2018 urban areas, rural settlements and rural SA1s where there is: an urban core, one or more secondary urban cores, one or more satellite urban areas, and rural hinterland (rural settlements or rural SA1s).

The FUA indicator (IFUA) classifies UR2018 urban areas and rural SA1s according to their character within their FUA, e.g. urban core, satellite urban area.

The 53 FUAs are classified by population size. The urban core’s population rather than the entire FUA’s population is used to maintain consistency between the descriptions of UR2018 urban area and FUA type (TFUA).

FUAs that have more than 100,000 residents living in their urban core are known as metropolitan areas, while smaller FUAs are divided into large (core population 30,000–99,999), medium (core population 10,000–29,999), and small regional centres (core population 5,000–9,999).

The Greymouth urban area population is less than 10,000 but is classified as a medium regional centre, consistent with its treatment as a medium urban area in the Urban accessibility (UA) 2018 classification.

Names are provided with and without tohutō/macrons. The name field without macrons is suffixed ‘ascii’.

For more detail, and classifications, please refer to Ariā.

Digital boundary data became freely available on 1 July 2007.

Layer ID 105288
Data type Vector multipolygon
Feature count 139
Services Vector Query API, Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed
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