Comprehensive dataset of 117 Free parking lots in New Zealand as of June, 2025. Includes verified contact information (email, phone), geocoded addresses, customer ratings, reviews, business categories, and operational details. Perfect for market research, lead generation, competitive analysis, and business intelligence. Download a complimentary sample to evaluate data quality and completeness.

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Tranche 2: Strategic Objective 5 - Novel Tools & Strategies - Supporting a Predator Free 2050

Novel tools, technologies and strategies need to be deployed to eradicate biotic threats.

There are so many different pest control options available, it can be hard to choose the right one(s) for each landscape and community. But if you use the wrong method, you could be wasting time and resources, as well as risking negative side-effects on te taiao (the environment).

That’s why this research team is creating an online tool that will allow project managers to find the best predator control option for them.

By combining existing predator management models, cost data, and social and cultural preference data the team will facilitate relative cost-effectiveness rankings for different management options.

Users will be able to explore different control tool regime options, allowing informed discussion with their communities and decision-making about the most cost-effective actions for eradication.

If we can use the best predator control options for each of our unique rohe (areas), we stand the best chance of helping create a Predator Free Aotearoa by 2050.

Co-Leads

• Chris Jones, Manaaki Whenua Landcare Research

• Nikki Harcourt, Manaaki Whenua Landcare Research

Warning: This raster is a grid of a floating-point values; not a surface. To derive an accurate height transformation value, this raster grid must be downloaded in terms of NZGD2000 and then converted into a surface using bilinear interpolation.

Introduction This dataset provides a 1 arc minute raster image of the free-air gravity anomalies, which have been downward continued to the ground surface (McCubbine et al, 2017).

Description Gravity anomalies are differences between measured gravity (from the airborne gravity dataset) and an ellipsoidal model of the Earth’s gravity field (GRS80). Gravity anomalies correspond to un-modelled density variations within the Earth’s crust and upper mantle. They are used to investigate concealed geological structures and for quasigeoid modelling.

These free-air anomalies show values which include gravitation impact of the topography.

The national airborne gravity dataset is comprised of more than 50,000 linear km of flight observations, covering the three main islands of New Zealand and up to 10km offshore.

As the airborne gravity dataset was measured at flight altitude, the observations have been reduced to the ground surface (a process known as downward continuation).

The national airborne gravity dataset was collected as a joint project between Toitū Te Whenua Land Information New Zealand (LINZ), GNS Science (GNS) and Victoria University of Wellington (VUW). The airborne survey was completed in a total of eight months, over two campaigns: August – October 2013, and February – June 2014.

Users may also be interested other layers created for Bouguer anomalies at ground surface and the along track observations from the gravity flight lines at flight elevation NZ Airborne Gravity Bouguer Anomalies at Ground Surface (2013-2014) and NZ Airborne Gravity Flight Lines at Elevation (2013-2014).

McCubbine, J. Stagpoole, V. Caratori-Tontini, F. Amos, M. Smith, E. and Winefield, R. (2017). Gravity anomaly grids for the New Zealand region. Manuscript submitted for publication New Zealand Journal of Geology and Geophysics.

This dataset provides information on 70 in New Zealand as of June, 2025. It includes details such as email addresses (where publicly available), phone numbers (where publicly available), and geocoded addresses. Explore market trends, identify potential business partners, and gain valuable insights into the industry. Download a complimentary sample of 10 records to see what's included.

The yield on New Zealand 10Y Bond Yield rose to 4.54% on July 11, 2025, marking a 0.01 percentage point increase from the previous session. Over the past month, the yield has fallen by 0.06 points, though it remains 0.04 points higher than a year ago, according to over-the-counter interbank yield quotes for this government bond maturity. New Zealand 10-Year Government Bond Yield - values, historical data, forecasts and news - updated on July of 2025.

An aerial imagery basemap of New Zealand in Web Mercator (WGS 1984) using the latest quality data from Land Information New Zealand.Add the map service directly to your ArcGIS Online map, or copy the Web Map Tile Service (WMTS) URL below for use in the desktop.This basemap is also available in NZTM from: https://linz.maps.arcgis.com/home/item.html?id=39cf07ebf8a2413696d8fd4d80570b84 The LINZ Aerial Imagery Basemap details New Zealand in high resolution - from a nationwide view all the way down to individual buildings.This basemap combines the latest high-resolution aerial imagery down to 5cm in urban areas and 10m satellite imagery to provide full coverage of mainland New Zealand, Chathams and other offshore islands.LINZ Basemaps are powered by data from the LINZ Data Service and other authoritative open data sources, providing you with a basemap that is free to use under an open licence.A XYZ tile API (Web Mercator only) is also available for use in web and mobile applications.See more information or provide your feedback at https://basemaps.linz.govt.nz/.For attribution requirements and data sources see: https://www.linz.govt.nz/data/linz-data/linz-basemaps/data-attribution.

NZ Addresses is the national authoritative dataset for physical addresses in New Zealand.

This dataset contains the street number, street name and suburb of an address, as well as a unique ID and Territorial Authority.

Refer to the NZ Addresses Data Dictionary for detailed metadata and information about this dataset.

Please note this dataset replaced NZ Street Address in January 2023.

Background

This dataset provides all allocated addresses as advised to Toitū Te Whenua LINZ by Territorial Authorities (TAs). Under the Local Government Act 1974 (section 319) it is the responsibility of the TAs to advise the Surveyor-General at Toitū Te Whenua LINZ of all allocated addresses in their district.

Address data is maintained by Toitū Te Whenua LINZ in the Address Information Management System (AIMS) and Comprehensive Address Data Store (CADS), which are centralised databases for the management of national addresses, including for electoral purposes. This dataset is updated weekly on the LINZ Data Service.

APIs and web services This dataset is available via ArcGIS Online and ArcGIS REST services, as well as our standard APIs. LDS APIs and OGC web services ArcGIS Online map services

Real interest rate (%) in New Zealand was reported at --1.7229 % in 2018, according to the World Bank collection of development indicators, compiled from officially recognized sources. New Zealand - Real interest rate - actual values, historical data, forecasts and projections were sourced from the World Bank on July of 2025.

New Zealand: Political rights score, 0 (Not free) - 40 (Free): The latest value from is scores, unavailable from scores in . In comparison, the world average is 0 scores, based on data from countries. Historically, the average for New Zealand from to is 40 scores. The minimum value, 40 scores, was reached in 2021 while the maximum of 40 scores was recorded in 2021.

Version 1.2This data set is compiled from the New Zealand Census ranging from 1891-2018. The Raw Data includes all categories of answers about Religious Affiliation.The data for each individual year of observation has been taken from the reported data closest to that year.The data set includes; Introduction, Compiled Data, Raw Data and References to each census.CC0 as long as it is cited according to academic standards.For comments or edits please feel free to contact me directly.

Panama CF: Imports: Oceania: New Zealand data was reported at 113.000 PAB th in 2016. This records a decrease from the previous number of 331.000 PAB th for 2015. Panama CF: Imports: Oceania: New Zealand data is updated yearly, averaging 261.500 PAB th from Dec 1999 (Median) to 2016, with 18 observations. The data reached an all-time high of 537.000 PAB th in 2005 and a record low of 22.000 PAB th in 2001. Panama CF: Imports: Oceania: New Zealand data remains active status in CEIC and is reported by National Institute of Statistics and Census. The data is categorized under Global Database’s Panama – Table PA.JA010: Colon Free Zone: Imports.

We update the data monthly, so it"s accurate up to the end of the previous month. Registration is the process where we add a vehicle’s details to the MVR and issue its number plates. It is not the same thing as vehicle licensing, also called ‘rego’. To give you a quick overview of the data, see the charts in the ‘Attributes’ section below. These will give you information about each of the attributes (variables) in the dataset.Each chart is specific to a variable, and shows all data (without any filters applied).Motor Vehicle Register data - field descriptionsDue to the size of the data we recommend using the following for direct downloads of the data.Download this data as zipped CSV filesFuel consumption (litres / 100km) is for cars driving in urban areas (Column FC_Urban), on motorways (Column FC_Extra_Urban) and a combination of both (Column FC_Combined). Values range from 1 to 60.Greenhouse gas emissions are the SGGs (synthetic greenhouse gases) that airconditioning units produce.The data is added to the MVR when a new or used vehicle is first registered in New Zealand.Description of attributes for fuel consumption (27) and synthetic greenhouse gas (34)Data reuse caveatsAs per license.We’ve taken reasonable care in compiling this information, and provide it on an ‘as is, where is’ basis. We are not liable for any action taken on the basis of the information. For further information see the Waka Kotahi website, as well as the terms of the CC-BY 4.0 International license under which we publish this data.CC-BY 4.0 International licence detailsVariables in the dataset are formatted for analytical use. This can result in attribute charts that may not appear meaningful, and are not suitable for broader analysis or use. In addition, some variables are not mutually exclusive and should not be considered in isolation. As such, these charts should not be taken and used directly as analysis of the overall data.Data quality statement:This data relates to vehicles, not people.An entry certifier enters the data manually into the MVR when someone first registers a new or used vehicle in New Zealand.We have included some information about vehicle registered owners live. This is based on the most recent information we have about their physical address. To make sure it isn’t possible to identify a person in the data, we have provided this at Territorial Authority (TA) level. A TA is a broad geographical area defined under the Local Government Act 2002 as a city council or district council. There are 67 TAs consisting of 12 city councils, 53 districts, Auckland Council and Chatham Island Council.We haven’t included vehicles that belong to people with a confidential listing.We have restricted the Vehicle Identification Number (VIN) to the first 11 characters – these are generic and don’t identify specific vehicles.Data quality caveats:Many of the fields in the (MVR) are free text fields, which means there may be spelling mistakes and other human errors. The data is verified at time of entry, but there is potential for data to be entered incorrectly.We have algorithmically cleaned the data to correct identified errors (particularly with respect to a vehicle’s make and model). However, due to the large number of vehicles on the Register we may not have corrected some information.Additionally, some variables may be subject to differences in how people have recorded details – for example, manufacturers release a variety of sub-models and these may not be referred to, or put into the system, in the same way.We have made our cleaning code open source.Vehicle make and model cleansing code (GitHub)The below links are used to determine fuel consumption and CO2 emissions that are then entered when registering vehicle. This is mandatory and not optional. Data is first added to landata.importer.fuelsaver.govt.nz/certifier/www.greenvehicleguide.gov.au/www.fueleconomy.gov/www.vcacarfueldata.org.uk/ UPDATE: The Motor Vehicle Register (MVR) dataset now contains information on fuel consumption and greenhouse gas emissions.

Manually enhanced transport infrastructure data based on Open Street Maps (OSM) and open data initiatives that provides a routable network with lane by lane connectivity. The road infrastructure and public transport service data are in geoJSON file format, accessible through the Jellyfish API. This data forms part of the Jellyfish Project which has links to Australian Urban Research Infrastructure Network (AURIN) in partnership with Queensland Department of Transport and Main Roads and the Queensland Cyber Infrastructure Foundation (QCIF).

Processed multibeam bathymetry data acquired during the TAN1808 research voyage using Kongsberg EM302 multibeam echosounder on the RV Tangaroa. Data are gridded to 25 m.

File Type: Geotiff

Coordinate Reference System: EPSG:2193 - NZGD2000 / New Zealand Transverse Mercator 2000 (units: m)

Extent: Southwest: 1755587.5, 5333687.5 : Northeast 1927537.5, 5452337.5

Pixels: 6878 (width) by 4746 (height)

Pixel Size: 25 m

Data loading and viewing: Loadable with standard GIS software, like the free open source software QGIS

Graph and download economic data for Interest Rates: Long-Term Government Bond Yields: 10-Year: Main (Including Benchmark) for New Zealand (IRLTLT01NZM156N) from Jan 1970 to May 2025 about New Zealand, long-term, 10-year, bonds, yield, government, interest rate, interest, and rate.

Vehicle travel time and delay data on sections of road in Hamilton City, based on Bluetooth sensor records. To get data for this dataset, please call the API directly talking to the HCC Data Warehouse: https://api.hcc.govt.nz/OpenData/get_traffic_link_stats?Page=1&Start_Date=2021-06-02&End_Date=2021-06-03. For this API, there are three mandatory parameters: Page, Start_Date, End_Date. Sample values for these parameters are in the link above. When calling the API for the first time, please always start with Page 1. Then from the returned JSON, you can see more information such as the total page count and page size. For help on using the API in your preferred data analysis software, please contact dale.townsend@hcc.govt.nz. NOTE: Anomalies and missing data may be present in the dataset.

Column_InfoLink_Id, int : Unique link identifierTravel_Time, int : Average travel time in seconds to travel along the linkAverage_Delay, int : Average travel delay in seconds, calculated as the difference between the free flow travel time and observed travel timeDate, varchar : Starting date and time for the recorded delay and travel time, in 15 minute periods

Relationship

This table reference to table Traffic_Link

Analytics

For convenience Hamilton City Council has also built a Quick Analytics Dashboard over this dataset that you can access here.

Disclaimer

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.'

A catalogue of over 40,000 gravity survey observations in New Zealand, including free air, Bouguer and isostatic gravity anomalies has been assembled. These data have been assembled from survey measurements mostly made by Geophysics Division, Department of Scientific and Industrial Research, (now GNS Science) since the 1940s using a variety of meters. Some gravity data has been contributed by petroleum explorers and universities. In 2004 all data were uniformly reprocessed using GNS Science software and tied to primary gravity sites the New Zealand Reference Gravity Stations (https://doi.org/10.21420/96Q5-8581?x=y).

This database is http://dx.doi.org/10.21420/DRDW-VC72?x=y.

Comprehensive dataset of 1 Free parking lots in Hawke's Bay, New Zealand as of July, 2025. Includes verified contact information (email, phone), geocoded addresses, customer ratings, reviews, business categories, and operational details. Perfect for market research, lead generation, competitive analysis, and business intelligence. Download a complimentary sample to evaluate data quality and completeness.

This 8m Digital Elevation Model (DEM) was originally created by Geographx (geographx.co.nz) and was primarily derived from January 2012 LINZ Topo50 20m contours (data.linz.govt.nz/layer/768).

Suitable for cartographic visualisation only. It was created by the interpolation of 20m contours with post-processing and filtering it is not suitable for terrain analysis.

Spatial accuracy is nominally the same as for the LINZ source data: 90% of well-defined points are within ±22 metres horizontally and within ±10 metres vertically.

For a full description of the how the DEM was generated refer to this layer’s metadata.