The largest growth in online job postings in the Auckland region in New Zealand was experienced in the primary sector, with 9.1 percent more online job ads as of June 2019 compared to the previous year. In contrast, the education sector saw the largest decrease in online job advertisements in the same period.

A survey conducted in 2024 among people working in the civil construction industry in New Zealand revealed that around 72 percent of respondents believed that the leading barrier to construction industry growth was a skilled labor shortage and staff recruitment difficulties. Compliance and regulatory costs was also identified as a key contributor to a lack of growth within the industry.

Open NABIS ApplicationThe purpose of this information is to show the Annual distribution of Auckland Island ShagLineage - Document describing the data source used, history of changes, background information about the given layer, and referencesCreator - National Institute of Water and Atmospheric ResearchPublisher - Ministry for Primary IndustriesContributor - Colin Miskelly, Department of ConservationCustodian - Ministry for Primary IndustriesJurisdiction of Custodian - New ZealandRights - Crown Copyright Reserved.Subject - Annual bird distribution of Auckland Island shag within the waters around New ZealandSource - Multiple sources - see Lineage for detailsLanguage - EnglishRelation - Function - To ensure that fisheries are sustainably used within a healthy aquatic ecosystemLayer Type - biotaAudience - AllMandate - New Zealand Biodiversity StrategyProgress - CompletedMetadata - Compliant with NZGLS and ANZLICLayer InformationSpecies Common Name - Auckland Island shagSpecies Scientific Name - Phalacrocorax colensoiSpecies Maori Name - N/ASpecies Code - XHGEndangered Status - Nationally vulnerableSeason - AnnualHabitat Type - InshoreMinimum Depth - N/AMaximum Depth - N/AAccuracyAlert Level - NoneWarnings and Problems - NonePositional Accuracy - 10 kmAttribute Accuracy - Attribute data has been checked against Ministry for Primary Industries guidelines and no significant problems are known.Logical Consistency - Logical consistency has been checked against Ministry for Primary Industries guidelines and no significant problems are knownCompleteness - Completeness of the information layer has been checked against independent descriptions of the distribution of Auckland Island Shag and no significant problems are knownCertified/Refereed By - Colin Miskelly, Department of ConservationCertification Date - 30/01/2006CoverageCoverage Name - New Zealand Exclusive Economic ZoneCoverage: Spatial Northern - 24.00° SCoverage: Spatial Southern - 58.00° SCoverage: Spatial Eastern - 167.00° WCoverage: Spatial Western - 157.00° ECoverage: Temporal Earliest - 01/01/1975Coverage: Temporal Latest - 01/01/2001Distribution Northern - 47.87° SDistribution Southern - 51.22° SDistribution Eastern - 167.13° EDistribution Western - 165.32° EMaintenanceLayer Date Received - 30/01/2006Layer Date Loaded - 19/09/2006Layer Date Renewed - 08/08/2011Metadata Date Received - 30/01/2006Metadata Date Loaded - 19/09/2006Metadata Date Renewed - 08/08/2011Maintenance and Update Frequency - as neededApproved for Promotion By - Nathan Batchelor - Information Management, Ministry for Primary IndustriesApproved for Promotion Date - 19/09/2006

New Zealand NZ: Revenue and Grants: Revenue: Taxes on Goods and Services: % Value Added of Industry and Services data was reported at 11.012 % in 2016. This records an increase from the previous number of 10.981 % for 2015. New Zealand NZ: Revenue and Grants: Revenue: Taxes on Goods and Services: % Value Added of Industry and Services data is updated yearly, averaging 10.184 % from Mar 1973 (Median) to 2016, with 32 observations. The data reached an all-time high of 11.816 % in 1988 and a record low of 5.982 % in 1975. New Zealand NZ: Revenue and Grants: Revenue: Taxes on Goods and Services: % Value Added of Industry and Services 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: Government Revenue, Expenditure and Finance. Taxes on goods and services include general sales and turnover or value added taxes, selective excises on goods, selective taxes on services, taxes on the use of goods or property, taxes on extraction and production of minerals, and profits of fiscal monopolies.; ; International Monetary Fund, Government Finance Statistics Yearbook and data files, and World Bank and OECD value added estimates.; ;

The New Zealand Data Center Market is segmented by Hotspot (Auckland, Christchurch, Hamilton, Wellington), by Data Center Size (Large, Massive, Medium, Mega, Small), by Tier Type (Tier 1 and 2, Tier 3, Tier 4) and by Absorption (Non-Utilized, Utilized). Market Volume in Megawatt (MW) is presented. Key Data Points observed include IT load capacity for existing and upcoming data centers, current and upcoming hotspots, average mobile data consumption, volume of fiber cable connectivity in KM, existing and upcoming submarine cables, rack space utilization, and number of data centers by tier.

The Report Covers New Zealand Infrastructure Companies and it is Segmented by Type (Social Infrastructure (Schools, Hospitals, Defense, and Other Infrastructure), Transportation Infrastructure (Railways, Roadways, Airports, Ports, and Waterways), Extraction Infrastructure (Oil and Gas, Other Extraction (Minerals, Metals, and Coal), Utilities Infrastructure (Power Generation, Electricity Transmission and Distribution, Water, Gas, and Telecoms), Manufacturing Infrastructure (Metal and Ore Production, Petroleum Refining, Chemical Manufacturing, Industrial Parks and Clusters, and Other Infrastructure)) and Key Cities (Wellington, Auckland, and Hamilton). The report offers the market sizes and forecasts in value (USD million) for all the above segments.

United States Imports: Services: NZ: IPC: Industrial Processes data was reported at 6.000 USD mn in 2016. This records a decrease from the previous number of 7.000 USD mn for 2015. United States Imports: Services: NZ: IPC: Industrial Processes data is updated yearly, averaging 6.500 USD mn from Dec 2007 (Median) to 2016, with 10 observations. The data reached an all-time high of 24.000 USD mn in 2013 and a record low of 1.000 USD mn in 2007. United States Imports: Services: NZ: IPC: Industrial Processes data remains active status in CEIC and is reported by Bureau of Economic Analysis. The data is categorized under Global Database’s USA – Table US.JA042: Trade Statistics: Services: New Zealand.

Mahuika-Auckland is a spatially and temporally resolved CO2 emissions data product for Auckland, New Zealand. Annual totals are based on Auckland’s greenhouse gas and air emissions inventories for the year 2016. We divide fossil fuel emissions (CO2ff) into six sectors: on-road transport, industrial, commercial, residential, air transport, and sea transport. Emissions from Glenbrook Steel Mill (industrial CO2ff point source) are in a separate file because it is overwhelmingly larger than any other source, and it is located relatively far from the city centre in a semi-rural area. We also include separate layers representing biogenic CO2 emissions (CO2bio) (primarily waste and wood burning). Data are provided at 500 m gridded spatial resolution and at both an annual and a 1-hour time step in netcdf format. Note that for some sectors (air transport, commercial, industrial CO2bio, sea transport) the hourly file contains a single 24-hour cycle because the emissions for all days of the year are identical. The industrial CO2ff hourly file contains a single weekday because all weekdays are identical and weekends / holidays are zero. The on road hourly file contains both a weekday and weekend / holiday 24-hour cycle. A full year of hourly data are provided for the residential sector to capture monthly and seasonal variations.

Approximately 19.7 percent of the costs for materials used in the development of townhouses across Auckland, New Zealand were attributed to wood and timber expenses in 2018. In the same year, the number of new dwelling consents in the Auckland region increased by about 13.7 percent compared to the previous year.

216 (million $) in 2010.

Claims related to the kiwifruit industry.

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Work related claims in the forestry and logging industry.

Refer to the current geographies boundaries table for a list of all current geographies and recent updates. This dataset is the definitive version of the annually released statistical area 2 (SA2) boundaries as at 1 January 2025 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: a shared road network, shared community facilities, shared historical or social links, or socio-economic similarity, ​ form a nested hierarchy with statistical output geographies and administrative boundaries. It must: be built from SA1s, either define or aggregate to define SA3s, urban areas, territorial authorities, and regional councils. 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: SA2s where territorial authority boundaries straddle regional council boundaries. These SA2s each have fewer than 200 residents and are: Arahiwi, Tiroa, Rangataiki, Kaimanawa, Taharua, Te More, Ngamatea, Whangamomona, and Mara. SA2s created for single islands or groups of islands that are some distance from the mainland or to separate large unpopulated islands from urban areas SA2s that represent inland water, inlets or oceanic areas including: inland lakes larger than 50 square kilometres, harbours larger than 40 square kilometres, major ports, other non-contiguous inlets and harbours defined by territorial authority, and contiguous oceanic areas defined by regional council. SA2s for non-digitised oceanic areas, offshore oil rigs, islands, and the Ross Dependency. Each SA2 is represented by a single meshblock. The following 16 SA2s are held in non-digitised form (SA2 code; SA2 name): 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. ​ High-definition version This high definition (HD) version is the most detailed geometry, suitable for use in GIS for geometric analysis operations and for the computation of areas, centroids and other metrics. The HD version is aligned to the LINZ cadastre. ​ 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. ​ Further information To download geographic classifications in table formats such as CSV please use Ariā For more information please refer to the Statistical standard for geographic areas 2023. Contact: geography@stats.govt.nz

In New Zealand, the estimated sales amount across various store categories provides key insights into the market's dynamics. Apparel, as a prominent category, generates significant sales, totaling $46.26B, which is 63.38% of the region's total sales in this sector. Food & Drink follows with robust sales figures, achieving $15.14B in sales and comprising 20.75% of the region's total. Unknown contributes a considerable amount to the regional market, with sales of $4.57B, accounting for 6.26% of the total sales in New Zealand. This breakdown highlights the varying economic impacts of different categories within the region, showcasing the diversity and strengths of each sector.

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Centuria NZ Industrial Fund is a Public Company that generates the majority of its income from the Funds Management Services industry.

The pie chart showcases the distribution of app/software spending by store category in New Zealand, providing insights into how eCommerce stores allocate their resources on the app or software they utilize. Among the store categories, Apparel exhibits the highest spending, with a total expenditure of $7.34M units representing 22.92% of the overall spending. Following closely behind is Food & Drink with a spend of $5.83M units, comprising 18.19% of the total. Beauty & Fitness also contributes significantly with a spend of $4.55M units, accounting for 14.19% of the overall app/software spending. This data sheds light on the investment patterns of eCommerce stores within each category, reflecting their priorities and resource allocation towards app or software solutions.

Scoping SLR Data: this file contains the results of the scoping SLR conducted on 26 Mar 2024. It provides the results for the critical appraisal (32 results) and It also contains the full results across the three databases which composed this SLR.Second SLR Data: this file contains the results of the second SLR conducted on 8 Aug 2024. It provides the results for the critical appraisal (252 results) and the results for the qualitative synthesis (21 results). It also contains the full results from each of the individual searches which composed this SLR.

In the fourth quarter of 2024, the average net face rent (NFR) of industrial property in Auckland, New Zealand reached around 195.3 New Zealand dollars per square meter. In comparison, the average NFR of industrial property found in Christchurch was just over 146 New Zealand dollars per square meter that quarter.