This statistic shows the biggest cities in New Zealand in 2022. In 2022, approximately **** million people lived in Auckland, making it the biggest city in New Zealand.

Population in largest city in New Zealand was reported at 1692770 in 2024, according to the World Bank collection of development indicators, compiled from officially recognized sources. New Zealand - Population in largest city - actual values, historical data, forecasts and projections were sourced from the World Bank on June of 2025.

New Zealand NZ: Population in Largest City data was reported at 1,377,309.000 Person in 2017. This records an increase from the previous number of 1,360,422.000 Person for 2016. New Zealand NZ: Population in Largest City data is updated yearly, averaging 851,045.500 Person from Dec 1960 (Median) to 2017, with 58 observations. The data reached an all-time high of 1,377,309.000 Person in 2017 and a record low of 440,164.000 Person in 1960. New Zealand NZ: Population in Largest City data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s New Zealand – Table NZ.World Bank: Population and Urbanization Statistics. Population in largest city is the urban population living in the country's largest metropolitan area.; ; United Nations, World Urbanization Prospects.; ;

This statistic depicts the distribution of the major cities to the national GDP in New Zealand in 2015. According to the source, in this year, Auckland contributed with ** percent to the national GDP in New Zealand.

New Zealand NZ: Population in Largest City: as % of Urban Population data was reported at 33.266 % in 2017. This records a decrease from the previous number of 33.580 % for 2016. New Zealand NZ: Population in Largest City: as % of Urban Population data is updated yearly, averaging 30.234 % from Dec 1960 (Median) to 2017, with 58 observations. The data reached an all-time high of 34.299 % in 2013 and a record low of 24.415 % in 1961. New Zealand NZ: Population in Largest City: as % of Urban Population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s New Zealand – Table NZ.World Bank: Population and Urbanization Statistics. Population in largest city is the percentage of a country's urban population living in that country's largest metropolitan area.; ; United Nations, World Urbanization Prospects.; Weighted Average;

Population in the largest city (% of urban population) in New Zealand was reported at 36.41 % in 2024, according to the World Bank collection of development indicators, compiled from officially recognized sources. New Zealand - Population in the largest city - actual values, historical data, forecasts and projections were sourced from the World Bank on July of 2025.

This horizontal bar chart displays graduate students (people) by city using the aggregation sum in New Zealand. The data is about universities.

In 2024, the main center in New Zealand with the highest number of sunshine hours was Tauranga, with ***** hours. The average temperature for Tauranga was **** degrees Celsius in that year.

ps-places-metadata-v1.01

SUMMARY

This dataset comprises a pair of layers, (points and polys) which attempt to better locate "populated places" in NZ. Populated places are defined here as settled areas, either urban or rural where densitys of around 20 persons per hectare exist, and something is able to be seen from the air.

RATIONALE

The only liberally licensed placename dataset is currently LINZ geographic placenames, which has the following drawbacks: - coordinates are not place centers but left most label on 260 series map - the attributes are outdated

METHODOLOGY

This dataset necessarily involves cleaving the linz placenames set into two, those places that are poplulated, and those unpopulated. Work was carried out in four steps. First placenames were shortlisted according to the following criterion: - all places that rated at least POPL in the linz geographic places layer, ie POPL, METR or TOWN or USAT were adopted. - Then many additional points were added from a statnz meshblock density analysis.
- Finally remaining points were added from a check against linz residential polys, and zenbu poi clusters.

Spelling is broadly as per linz placenames, but there are differences for no particular reason. Instances of LINZ all upper case have been converted to sentance case. Some places not presently in the linz dataset are included in this set, usually new places, or those otherwise unnamed. They appear with no linz id, and are not authoritative, in some cases just wild guesses.

Density was derived from the 06 meshblock boundarys (level 2, geometry fixed), multipart conversion, merging in 06 usually resident MB population then using the formula pop/area*10000. An initial urban/rural threshold level of 0.6 persons per hectare was used.

Step two was to trace the approx extent of each populated place. The main purpose of this step was to determine the relative area of each place, and to create an intersection with meshblocks for population. Step 3 involved determining the political center of each place, broadly defined as the commercial center.

Tracing was carried out at 1:9000 for small places, and 1:18000 for large places using either bing or google satellite views. No attempt was made to relate to actual town 'boundarys'. For example large parks or raceways on the urban fringe were not generally included. Outlying industrial areas were included somewhat erratically depending on their connection to urban areas.

Step 3 involved determining the centers of each place. Points were overlaid over the following layers by way of a base reference:

a. original linz placenames b. OSM nz-locations points layer c. zenbu pois, latest set as of 5/4/11 d. zenbu AllSuburbsRegions dataset (a heavily hand modified) LINZ BDE extract derived dataset courtesy Zenbu. e. LINZ road-centerlines, sealed and highway f. LINZ residential areas, g. LINZ building-locations and building footprints h. Olivier and Co nz-urban-north and south

Therefore in practice, sources c and e, form the effective basis of the point coordinates in this dataset. Be aware that e, f and g are referenced to the LINZ topo data, while c and d are likely referenced to whatever roading dataset google possesses. As such minor discrepencys may occur when moving from one to the other.

Regardless of the above, this place centers dataset was created using the following criteria, in order of priority:

• attempts to represent the present (2011) subjective 'center' of each place as defined by its commercial/retail center ie. mainstreets where they exist, any kind of central retail cluster, even a single shop in very small places.
• the coordinate is almost always at the junction of two or more roads.
• most of the time the coordinate is at or near the centroid of the poi cluster
• failing any significant retail presence, the coordinate tends to be placed near the main road junction to the community.
• when the above criteria fail to yield a definitive answer, the final criteria involves the centroids of: . the urban polygons . the clusters of building footprints/locations.

To be clear the coordinates are manually produced by eye without any kind of computation. As such the points are placed approximately perhaps plus or minus 10m, but given that the roads layers are not that flash, no attempt was made to actually snap the coordinates to the road junctions themselves.

The final step involved merging in population from SNZ meshblocks (merge+sum by location) of popl polys). Be aware that due to the inconsistent way that meshblocks are defined this will result in inaccurate populations, particular small places will collect population from their surrounding area. In any case the population will generally always overestimate by including meshblocks that just nicked the place poly. Also there are a couple of dozen cases of overlapping meshblocks between two place polys and these will double count. Which i have so far made no attempt to fix.

Merged in also tla and regions from SNZ shapes, a few of the original linz atrributes, and lastly grading the size of urban areas according to SNZ 'urban areas" criteria. Ie: class codes:

1. Not used.
2. main urban area 30K+
3. secondary urban area 10k-30K
4. minor urban area 1k-10k
5. rural center 300-1K
6. village -300

Note that while this terminology is shared with SNZ the actual places differ owing to different decisions being made about where one area ends an another starts, and what constiutes a suburb or satellite. I expect some discussion around this issue. For example i have included tinwald and washdyke as part of ashburton and timaru, but not richmond or waikawa as part of nelson and picton. Im open to discussion on these.

No attempt has or will likely ever be made to locate the entire LOC and SBRB data subsets. We will just have to wait for NZFS to release what is thought to be an authoritative set.

PROJECTION

Shapefiles are all nztm. Orig data from SNZ and LINZ was all sourced in nztm, via koordinates, or SNZ. Satellite tracings were in spherical mercator/wgs84 and converted to nztm by Qgis. Zenbu POIS were also similarly converted.

ATTRIBUTES

Shapefile: Points id : integer unique to dataset name : name of popl place, string class : urban area size as above. integer tcode : SNZ tla code, integer rcode : SNZ region code, 1-16, integer area : area of poly place features, integer in square meters. pop : 2006 usually resident popluation, being the sum of meshblocks that intersect the place poly features. Integer lid : linz geog places id desc_code : linz geog places place type code

Shapefile: Polygons gid : integer unique to dataset, shared by points and polys name : name of popl place, string, where spelling conflicts occur points wins area : place poly area, m2 Integer

LICENSE

Clarification about the minorly derived nature of LINZ and google data needs to be sought. But pending these copyright complications, the actual points data is essentially an original work, released as public domain. I retain no copyright, nor any responsibility for data accuracy, either as is, or regardless of any changes that are subsequently made to it.

Peter Scott 16/6/2011

v1.01 minor spelling and grammar edits 17/6/11

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

In 2023, the share of urban population in New Zealand remained nearly unchanged at around 86.98 percent. Still, the share reached its highest value in the observed period in 2023. A country's urbanization rate refers to the share of the total population living in an urban setting. International comparisons of urbanization rates may be inconsistent, due to discrepancies between definitions of what constitutes an urban center (based on population size, area, or space between dwellings, among others).Find more key insights for the share of urban population in countries like Micronesia and Tonga.

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

The world is a crowded place, with more than 7 billion people on the planet as of 2014. About half of this population lives in urban areas, and ongoing migration into city centers has given rise to the megacity—a metropolitan area with 10 million people or more. This story map was produced by Esri's story map team. It is a customization of the Esri Story Map Journal app, and was created in collaboration with the Smithsonian Institution. This story map was also published on Smithsonian.com:https://www.smithsonianmag.com/science-nature/make-cities-explode-size-these-interactive-maps-180952832/

Urban rural 2023 update

UR 2023 is the first major update of the geography since it was first created in 2018. The update is to ensure UR geographies are relevant and meet criteria before each five-yearly population and dwelling census. UR 2023 contains 13 new rural settlements and 7 new small urban areas. Updates were made to reflect real world change including new subdivisions and motorways, and to improve delineation of urban areas and rural settlements. The Wānaka urban area, whose population has grown to be more than 10,000 based on population estimates, has been reclassified to a medium urban area in the 2023 urban rural indicator.

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In the 2023 classification there are:

• 7 major urban areas
• 13 large urban areas
• 23 medium urban areas
• 152 small urban areas
• 402 rural settlements.

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This dataset is the definitive version of the annually released urban rural (UR) boundaries as at 1 January 2023 as defined by Stats NZ. This version contains 745 UR areas, including 195 urban areas and 402 rural settlements.

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Urban rural (UR) is an output geography that classifies New Zealand into areas that share common urban or rural characteristics and is used to disseminate a broad range of Stats NZ’s social, demographic and economic statistics.

The UR separately identifies urban areas, rural settlements, other rural areas, and water areas. Urban areas and rural settlements are form-based geographies delineated by the inspection of aerial imagery, local government land designations on district plan maps, address registers, property title data, and any other available information. However, because the underlying meshblock pattern is used to define the geographies, boundaries may not align exactly with local government land designations or what can be seen in aerial images. Other rural areas, and bodies of water represent areas not included within an urban area.

Urban areas are built from the statistical area 2 (SA2) geography, while rural and water areas are built from the statistical area 1 (SA1) geography.

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Non-digitised

The following 4 non-digitised UR areas have been aggregated from the 16 non-digitised meshblocks/SA2s.

6901; Oceanic outside region, 6902; Oceanic oil rigs, 6903; Islands outside region, 6904; Ross Dependency outside region.

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UR numbering and naming

Each urban area and rural settlement is a single geographic entity with a name and a numeric code.

Other rural areas, inland water areas, and inlets are defined by territorial authority; oceanic areas are defined by regional council; and each have a name and a numeric code.

Urban rural codes have four digits. North Island locations start with a 1, South Island codes start with a 2, oceanic codes start with a 6 and non-digitised codes start with 69.

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Urban rural indicator (IUR)

The accompanying urban rural indicator (IUR) classifies the urban, rural, and water areas by type. Urban areas are further classified by the size of their estimated resident population:

• major urban area – 100,000 or more residents,
• large urban area – 30,000–99,999 residents,
• medium urban area – 10,000–29,999 residents,
• small urban area – 1,000–9,999 residents.

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This was based on 2018 Census data and 2021 population estimates. Their IUR status (urban area size/rural settlement) may change if the 2023 Census population count moves them up or down a category.

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The indicators, by name, with their codes in brackets, are:

urban area – major urban (11), large urban (12), medium urban (13), small urban (14),

rural area – rural settlement (21), rural other (22),

water – inland water (31), inlet (32), oceanic (33).

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The urban rural indicator complements the urban rural geography and is an attribute in this dataset. Further information on the urban rural indicator is available on the Stats NZ classification and coding tool ARIA.

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For more information please refer to the Statistical standard for geographic areas 2023.

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Generalised version

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

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Macrons

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

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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

NZ：最大城市人口在12-01-2017达1,377,309.000人，相较于12-01-2016的1,360,422.000人有所增长。NZ：最大城市人口数据按年更新，12-01-1960至12-01-2017期间平均值为851,045.500人，共58份观测结果。该数据的历史最高值出现于12-01-2017，达1,377,309.000人，而历史最低值则出现于12-01-1960，为440,164.000人。CEIC提供的NZ：最大城市人口数据处于定期更新的状态，数据来源于World Bank，数据归类于Global Database的新西兰 – 表 NZ.世界银行：人口和城市化进程统计。

This horizontal bar chart displays international students (people) by city using the aggregation count in New Zealand. The data is about universities.

Enlarged Main Navigation Channel as defined in the Lyttelton Port Recovery Plan.

The Lyttelton Port Recovery Plan provides for the repair, rebuild and reconfiguration of Lyttelton Port and the redevelopment of Dampier Bay. It also establishes how transport issues and construction effects will be managed, and directs Environment Canterbury, Te Hapū o Ngāti Wheke, Te Rūnanga o Ngāi Tahu, Christchurch City Council and LPC to work together to develop a management plan to improve the health of Whakaraupō/Lyttelton Harbour and its catchment. The Lyttelton Port Recovery Plan directs amendments to the following district and regional planning documents to enable the Port's recovery: 1. Canterbury Regional Policy Statement 2013; 2. Regional Coastal Environment Plan for the Canterbury Region; 3. Proposed Christchurch Replacement District Plan; 4. Canterbury Land and Water Regional Plan; 5. Proposed Canterbury Air Regional Plan. These amendments are set out in the Appendices 1 to 5 of the Recovery Plan. For further information please visit http://www.ecan.govt.nz/our-responsibilities/regional-plans/lpr-plan/Pages/Default.aspx

Malaysia Tourist Arrival: Sightseeing In Cities: New Zealand data was reported at 92.200 % in 2015. This records an increase from the previous number of 82.600 % for 2014. Malaysia Tourist Arrival: Sightseeing In Cities: New Zealand data is updated yearly, averaging 87.000 % from Dec 2001 (Median) to 2015, with 15 observations. The data reached an all-time high of 95.600 % in 2013 and a record low of 45.100 % in 2003. Malaysia Tourist Arrival: Sightseeing In Cities: New Zealand data remains active status in CEIC and is reported by Tourism Malaysia. The data is categorized under Global Database’s Malaysia – Table MY.Q009: Tourist Arrivals By Major Activities Engaged.

Background

Intentional self-harm is a common cause of hospital presentations in New Zealand and across the world, and self-poisoning is the most common method of self-harm. Paracetamol (acetaminophen) is frequently used in impulsive intentional overdoses, where ease of access may determine the choice of substance.

Objective

This cross-sectional study aimed to determine how much paracetamol is present and therefore accessible in urban New Zealand households, and sources from where it has been obtained. This information is not currently available through any other means, but could inform New Zealand drug policy on access to paracetamol.

Methods

Random cluster-sampling of households was performed in major urban areas of two cities in New Zealand, and the paracetamol-containing products, quantities, and sources were recorded. Population estimates of proportions of various types of paracetamol products were calculated.

Results

A total of 174 of the 201 study households (86.6%) had at least one paracetamol product. Study households had mostly prescription products (78.2% of total mass), and a median of 24.0 g paracetamol present per household (inter-quartile range 6.0-54.0 g). Prescribed paracetamol was the main source of large stock. Based on the study findings, 53% of New Zealand households had 30 g or more paracetamol present, and 36% had 30 g or more of prescribed paracetamol, specifically.

Conclusions

This study highlights the importance of assessing whether and how much paracetamol is truly needed when prescribing and dispensing it. Convenience of appropriate access to therapeutic paracetamol needs to be balanced with preventing unnecessary accumulation of paracetamol stocks in households and inappropriate access to it. Prescribers and pharmacists need to be aware of the risks of such accumulation and assess the therapeutic needs of their patients. Public initiatives should be rolled out at regular intervals to encourage people to return unused or expired medicines to pharmacies for safe disposal.

Methods The stocks of paracetamol-containing medicines (acetaminophen) held at a single time point in New Zealand households are described in this dataset. These data were collected via a cluster-sampling survey of two cities in New Zealand.

A door-to-door survey study with random, clustered sampling of consenting household members in two cities in New Zealand was designed. A total of 201 households in 40 meshblocks in two Major Urban Areas (MUAs; areas of 100,000 or more residents) of Dunedin and Auckland were sampled. Meshblocks are Statistics NZ’s smallest geographic unit, and roughly correspond to a city block or part of it. Random cluster-sampling of 20 meshblocks in each city was performed by deprivation level, where all eligible MUA meshblocks were stratified by their New Zealand Deprivation Index 2013 (NZDep2013) index scores, which describe the level of area deprivation by taking into account multiple relevant area and household variables. Six meshblocks were randomly selected from each city from NZDep2013 8-10 meshblocks (most deprived), eight from NZDep 4-7, and 6 from NZDep2013 1-2 (least deprived), for a total of 40 meshblocks. This was done to obtain a sample that would be representative of the general New Zealand population by levels of deprivation. Each meshblock was sampled by starting from a random end of the street and then tossing a dice to choose a house to approach, and repeating this until either five households were recruited or there were no more households to sample.

Trained Research Assistants (RAs) knocked on the doors of domiciles in each meshblock to be sampled, chosen by tossing a dice as described. Inclusion criteria: person present and usually residing in a domicile in a meshblock which was sampled, and aged 16 or over. Exclusion criteria: not able to give informed consent (intoxicated, aggressive, otherwise not safe to approach – nobody was excluded for this reason).

Household members aged 16 years and over were eligible to participate, and if consent was obtained, basic demographics were collected about the household (number of people usually residing in the household, their age, sex, ethnicity). Participants were then shown images of paracetamol-containing products (sole and combination), and requested to bring out all paracetamol products of their own, and any that were shared by the household in communal areas of the domicile. Private stock of any other residents of the household who were not present and were therefore unable to consent was not recorded for ethical reasons. If there were no paracetamol products present, that was recorded. If there were paracetamol products present, product type, strength, expiry date, purchase date and means of obtaining (by prescription, pharmacy over-the-counter [OTC], other retailer [i.e. not a pharmacy; e.g. supermarket, petrol station], other, unknown) were recorded.

The data were entered into a main database which is fully de-identified. Meshblock numbers are included in the dataset, but households are only given an identifier derived from the meshblock code. It would not be possible to identify a specific household from the data. Paracetamol product names were cleaned in the dataset (if there were any misspellings), and new variables were calculated to summarise the data (e.g. total household stock of prescribed paracetamol products, etc.).

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.

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Stats NZ maintains an annual meshblock pattern for collecting and producing statistical data. This allows data to be compared over time.

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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).

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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.

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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.

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Meshblock maintenance

Meshblock boundaries are amended by:

1. Splitting – subdividing a meshblock into two or more meshblocks.
2. Nudging – shifting a boundary to a more appropriate position.

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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

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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.

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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.

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Meshblock numbering

Meshblocks are not named and have seven-digit codes.

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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.

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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.

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Digitised and non-digitised meshblocks

The digital geographic boundaries are defined and maintained by Stats NZ.

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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.

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Meshblock / Location (statistical area 2 name)

• 0016901 / Oceanic Kermadec Islands
• 0016902 / Kermadec Islands
• 1588000 / Oceanic Oil Rig Taranaki
• 3166401 / Oceanic Campbell Island
• 3166402 / Campbell Island
• 3166600 / Oceanic Oil Rig Southland
• 3166710 / Oceanic Auckland Islands
• 3166711 / Auckland Islands
• 3195000 / Ross Dependency
• 3196001 / New Zealand Economic Zone
• 3196002 / Oceanic Bounty Islands
• 3196003 / Bounty Islands
• 3196004 / Oceanic Snares Islands
• 3196005 / Snares Island
• 3196006 / Oceanic Antipodes Islands
• 3196007 / Antipodes Island

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For more information please refer to the Statistical standard for geographic areas 2023.

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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