This layer provides metadata about cadastral surveys along with reference points indicating the location of the survey.

A cadastral survey determines and describes the spatial extent (including boundaries) of interest of land within New Zealand. Each survey is allocated a unique reference number (that prior to Landonline included reference to the land district.

This data provides details that identify the type of survey, the purpose, description and key dates relating to the survey.

This layer provides all marks and associated information that have an order of 6 or better. Cadastral surveys are required to connect to these marks if they are within a specified distance.

A cadastral survey network mark is a node which is (or was) occupied by a physical survey monument that meets accuracy standards suitable for cadastral requirements. i.e. Cadastral Survey Network Marks have a NZGD2000 horizontal coordinate order of 6 or better. The complete definition for these mark orders is defined by the following Standard. "https://www.legislation.govt.nz/regulation/public/2021/0095/latest/whole.html#LMS489621"

When a new cadastral survey network mark is named as part of a cadastral survey dataset (plan) its name consists of a mark type and number that is unique to that survey, followed by the plan number e.g. IS I DP 3456; IS II DP3456.

Abstract

The World Bank Enterprise Survey (WBES) is a firm-level survey of a representative sample of an economy's private sector. The surveys cover a broad range of topics related to the business environment including access to finance, corruption, infrastructure, competition, and performance.

Geographic coverage

National coverage

Analysis unit

The primary sampling unit of the study is the establishment. An establishment is a physical location where business is carried out and where industrial operations take place or services are provided. A firm may be composed of one or more establishments. For example, a brewery may have several bottling plants and several establishments for distribution. For the purposes of this survey an establishment must make its own financial decisions and have its own financial statements separate from those of the firm. An establishment must also have its own management and control over its payroll.

Universe

The universe of inference includes all formal (i.e., registered) private sector businesses (with at least 1% private ownership) and with at least five employees. In terms of sectoral criteria, all manufacturing businesses (ISIC Rev 4. codes 10-33) are eligible; for services businesses, those corresponding to the ISIC Rev 4 codes 41-43, 45-47, 49-53, 55-56, 58, 61-62, 69-75, 79, and 95 are included in the Enterprise Surveys. Cooperatives and collectives are excluded from the Enterprise Surveys. All eligible establishments must be registered with the registration agency.

Kind of data

Sample survey data [ssd]

Sampling procedure

The WBES use stratified random sampling, where the population of establishments is first separated into non-overlapping groups, called strata, and then respondents are selected through simple random sampling from each stratum. The detailed methodology is provided in the Sampling Note (https://www.enterprisesurveys.org/content/dam/enterprisesurveys/documents/methodology/Sampling_Note-Consolidated-2-16-22.pdf). Stratified random sampling has several advantages over simple random sampling. In particular, it:

• produces unbiased estimates of the whole population or universe of inference, as well as at the levels of stratification
• ensures representativeness by including observations in all of those categories
• produces more precise estimates for a given sample size or budget allocation, and
• may reduce implementation costs by splitting the population into convenient subdivisions.

The WBES typically use three levels of stratification: industry classification, establishment size, and subnational region (used in combination). Starting in 2022, the WBES bases the industry classification on ISIC Rev. 4 (with earlier surveys using ISIC Rev. 3.1). For regional coverage within a country, the WBES has national coverage.

Note: Refer to Sampling Structure section in "The New Zealand 2023 World Bank Enterprise Survey Implementation Report" for detailed methodology on sampling.

Mode of data collection

Face-to-face [f2f]

Research instrument

The standard WBES questionnaire covers several topics regarding the business environment and business performance. These topics include general firm characteristics, infrastructure, sales and supplies, management practices, competition, innovation, capacity, land and permits, finance, business-government relations, exposure to bribery, labor, and performance. Information about the general structure of the questionnaire is available in the Enterprise Surveys Manual and Guide (https://www.enterprisesurveys.org/content/dam/enterprisesurveys/documents/methodology/Enterprise-Surveys-Manual-and-Guide.pdf).

The questionnaire implemented in the New Zealand 2023 WBES included additional questions tailored for the Business Ready Report covering infrastructure, trade, government regulations, finance, labor, and other topics.

Response rate

Overall survey response rate was 4.6%.

This layer provides all authoritative bearing and distance survey observations which form part of the cadastral survey dataset

Only observations that have been captured in Landonline are available. This includes observations that were re-captured in the Survey Capture Areas from survey plans lodged prior to Landonline and all survey observations since.

Individual cadastral surveys will commonly re-measure or re-use cadastral lines. Often they will be the same, however as the accuracy capability has increased over time, differences between 'old' and 'new' observations are more likely. Thus all survey observations include the reference to the survey plan.

This dataset only contains right-line survey observations. A small fraction of the total number of survey observations are defined as arcs and are provided via the Survey Arc Chords layer.

This layer provides survey mark information for marks that are not part of a parcel

A non-boundary mark is any survey mark that is not on a boundary point. The points in this dataset represent physical survey monuments usually placed for cadastral requirements. The data set also includes geodetic marks. Non-boundary marks now enter the Landonline system predominately as part of a cadastral survey dataset (plan) and occasionally via the geodetic processes. For Cadastral marks (i.e.the majority) its name consists of a mark type and number (and is unique to that survey), followed by the ‘plan’ number e.g. IS I DP 3456; IS II DP3456.

Note: Non-boundary marks used to connect cadastral surveys to the geodetic network are those of 6th order (or better) and this subset is available as the NZ Cadastral Survey Network Marks layer.

This dataset extends the Landonline stored data by including the network accuracy which is based upon its assigned Landonline order - refer LINZS25006 (http://www.linz.govt.nz/about-linz/news-publications-and-consultations/search-for-regulatory-documents/DocumentSummary.aspx?document=256).

The accuracy provided relates to the accuracy of coordinates of the mark and has little relevance to the accuracy of the boundary in relation to other boundaries. For example, if the coordinates of the mark were used to locate it, a user would expect to find the existing mark within the accuracy (distance) stated.

Two surveys were conducted in 2017 to collect data on NZ priorities for use in development of a prototype biodiversity assessment tool. The online prioritisation exercise was targeted for stakeholder-advisors who would participate in a follow-up workshop to finalise the prioritised lists of biodiversity groups and management actions for the prototype tool. The cross-checking survey was targeted for farmers, growers and other interested parties to provide input that would inform these finalised lists.

The National Vegetation Survey Databank (NVS) is a physical archive and electronic databank containing records of over 121,000 vegetation survey plots - including data from over 25,000 permanent plots. These data can be explored online as well as requested for download. NVS provides a unique record, spanning more than 70 years, of indigenous and exotic plants in New Zealand's terrestrial ecosystems, from Northland to Stewart Island and the Kermadec and Chatham islands. A broad range of habitats are covered, with special emphasis on indigenous forests and grasslands. The physical archive includes plot sheets, maps, and photographs from many years of vegetation surveys.

A report evaluating the findings from the New Zealand Garden Bird Survey (NZGBS) participant surveys (2014–18) to inform future opportunities for the NZGBS and wider Manaaki Whenua – Landcare Research (MWLR) citizen science initiatives. Citation: MacLeod CJ, Diprose G 2019. NZ Garden Bird Survey: Participant feedback 2014–18. Manaaki Whenua – Landcare Research Contract Report LC3542 for NZ Garden Bird Survey. https://datastore.landcareresearch.co.nz/dataset/edit/nzgbs-participant-feedback-2014-18

Includes waterbody survey names, waterbody survey GPS coordinates, snail sample review, and survey location notes. This data and metadata were submitted by California Department of Fish and Wildlife (CDFW) Staff though the Data Management Plan (DMP) framework with the id: DMP000601. For more information, please visit https://wildlife.ca.gov/Data/Sci-Data.

This is the data from the 2022 New Zealand Garden Bird Survey (NZGBS), a citizen science project where participants count the maximum number of birds seen or heard in a survey area of their choice for one hour. The survey has been held annually since 2007 and runs for 9 days in late June/early July.

Note: this dataset contains additional variables using the measurement or fact extension (details about feeding birds (whether the observer feeds birds, the type of food fed, whether birds were fed in the survey area, whether birds were fed during the survey), whether there is a bird bath in the survey area, vegetation present in the survey area). These variables are visible when you view the details of a record. If you wish to use these variables you may need to download this dataset directly from our IPT installation.

Household Economic Survey: Average Weekly Household Expenditure: Clothing and Footwear: Clothing: Men's Clothing data was reported at 5.700 NZD in 2016. This records an increase from the previous number of 4.200 NZD for 2013. Household Economic Survey: Average Weekly Household Expenditure: Clothing and Footwear: Clothing: Men's Clothing data is updated yearly, averaging 4.450 NZD from Jun 2001 (Median) to 2016, with 6 observations. The data reached an all-time high of 5.700 NZD in 2016 and a record low of 4.000 NZD in 2001. Household Economic Survey: Average Weekly Household Expenditure: Clothing and Footwear: Clothing: Men's Clothing data remains active status in CEIC and is reported by Statistics New Zealand. The data is categorized under Global Database’s New Zealand – Table NZ.H010: Household Economic Survey: Average Weekly Household Expenditure.

These data were derived as part of a case-study, which aimed to give a broad range of stakeholders involved in managing New Zealands agricultural landscape a voice in setting farmland biodiversity priorities that reflect the biodiversity outcomes that matter most to them and the management practices they consider most relevant to achieving those outcomes. This priority-setting process represented the first step in the development of an evidence-based tool for biodiversity assessments on New Zealand farms. For more information see: MacLeod, CJ, Brandt, A.J., Collins, K. & Dicks, LV (in press) Giving stakeholders a voice in governance: biodiversity priorities for New Zealands agriculture. People and Nature

This table is used to describe the many to many relationship between surveys and parcels. This is a table to link NZ Survey Plans data with spatial parcel layers such as NZ Parcels, NZ Linear Parcels or NZ Primary Parcels.

An affected parcel is a parcel which is affected by the approval of a survey dataset. A parcel may be affected, created or extinguished. For example, a survey can affect extinguish parcels by rendering them historical and at the same time may create new parcels (subdivision). Parcels may be affected by a survey but remain current (definition of an easement etc).

For more information about this table and other tables and layers that make up this dataset refer to the support documentation.

Process used to select a logo for the NZ Garden Bird Survey. The NZGBS community was invited to vote and comment on eight candidate logo concepts. This work was undertaken as part of the 'Building Trustworthy Biodiversity Indicators' project funded by the Ministry for Business, Innovation and Employment.

New Zealand Household Economic Survey: Average Weekly Household Expenditure: Food: Restaurant Meals and Ready-to-Eat Food data was reported at 62.500 NZD in 2016. This records an increase from the previous number of 48.700 NZD for 2013. New Zealand Household Economic Survey: Average Weekly Household Expenditure: Food: Restaurant Meals and Ready-to-Eat Food data is updated yearly, averaging 45.900 NZD from Jun 2007 (Median) to 2016, with 4 observations. The data reached an all-time high of 62.500 NZD in 2016 and a record low of 37.800 NZD in 2007. New Zealand Household Economic Survey: Average Weekly Household Expenditure: Food: Restaurant Meals and Ready-to-Eat Food data remains active status in CEIC and is reported by Statistics New Zealand. The data is categorized under Global Database’s New Zealand – Table NZ.H010: Household Economic Survey: Average Weekly Household Expenditure.

This data is 479 New Zealand students surveyed as part of Anran Zhao's PhD dissertation at the University of Auckland, supervised by Gavin and Kane. This file contains responses for the SCoA using variable codes specified by Brown and Effort and Motivation variables described in Anrans' thesis.

This layer provides the latest bearing (direction) and/or distance for cadastral boundaries.

When a cadastral survey is undertaken the relationship between boundary and non-boundary marks is ascertained or measured. • This commonly is in the form or a vector (bearing and distance), but occasionally just one component. • Some relationships are defined as arcs. In this data layer, the arc length is recorded in the distance field and a separate record holds the chord.

Only observations that have been captured in Landonline are available. This includes vectors that were re-captured in the Survey Capture Areas from survey plans lodged prior to Landonline and all survey observations since.

This layer identifies critical survey marks which Toitū Te Whenua (Land Information New Zealand) requires to be physically protected.

Thousands of vital survey marks exist in New Zealand. This layer identifies critical survey marks that should not be disturbed or destroyed. Like utilities such as cables and pipes, survey marks are valuable assets, predominately in the road reserve, with many survey marks set below or at ground level and therefore not highly visible or apparent. They often remain unnoticed until roads or footpaths have been excavated and the survey marks disturbed or destroyed. Publication of the NZ Protected Survey Marks dataset enables the potential for disturbance or destruction of these valuable survey marks to be assessed, and if needed, the marks protected prior to the commencement of any excavation work.

People involved in construction, from design to the works itself, are responsible for ensuring that survey marks are not disturbed or destroyed. When works have the potential to disturb or destroy existing cadastral and geodetic marks, Toitū Te Whenua needs to be notified so that it can assess whether the marks should be reinstated or replaced. Find out more about looking after the national survey network, and how to contact the Toitū Te Whenua Survey Protection Advisory Service.

Please note there may be other important survey marks not identified on this layer, and that Toitū Te Whenua recommends consultation with a Licensed Cadastral surveyor before any construction or earthworks begin.

If you notice a damaged survey mark, you can report it to Toitū Te Whenua by filling out a form on this website, or by sending feedback via the Geomarks App.

Tranche 1: Project 2.6

One of the nation’s largest surveys on public attitudes toward new pest control technologies has shown that most New Zealanders support the need for pest control.

Carried out in 2017, the BioHeritage Challenge survey assessed the perceptions, beliefs and attitudes of 8,000 people, including about 1,000 Māori.

Highlights

The survey found that:

• 84% agree pest species are a significant conservation problem
• 14% think current pest control measures are adequate
• 61% are aware of New Zealand’s goal to become Predator Free by 2050.

In relation to potential pest control technologies including gene drive, the survey found:

• 32% were comfortable with these developments
• 18% felt they should never be used
• 50% were undecided or wanted strong controls
• 42% supported trojan female techniques
• 52% supported a species-specific toxin.

Overall, the survey findings illustrated the varying viewpoints of the New Zealand public. This highlights the importance of continuing open and transparent public discussions while inventors and scientists start the process of developing new pest control technologies.

Project Leader

• Dr Edy MacDonald, Department of Conservation

New Zealand Household Economic Survey: Average Weekly Household Expenditure: Clothing and Footwear data was reported at 37.900 NZD in 2016. This records an increase from the previous number of 31.900 NZD for 2013. New Zealand Household Economic Survey: Average Weekly Household Expenditure: Clothing and Footwear data is updated yearly, averaging 31.250 NZD from Jun 2001 (Median) to 2016, with 6 observations. The data reached an all-time high of 37.900 NZD in 2016 and a record low of 24.800 NZD in 2001. New Zealand Household Economic Survey: Average Weekly Household Expenditure: Clothing and Footwear data remains active status in CEIC and is reported by Statistics New Zealand. The data is categorized under Global Database’s New Zealand – Table NZ.H010: Household Economic Survey: Average Weekly Household Expenditure.