Latest government datasets

Datasets on data.govt.nz

  • NZtopo50 map sheets

    Map sheet boundaries for the NZTopo50 topographic series 1:50,000 scale in New Zealand Transverse Mercator. The sheets are numbers with a two letter code for the row and a two digit column, and also have a common name. All sheet boundaries are...

  • Porirua 2010 Rural Aerial Photography

    Medium resolution 0.4 GSD/Resolution aerials for Porirua City. Flown Jan 2010 by NZAM at 1:2500 using Vexcel colour digital camera. Generally +/- 3.0 m but could be worse in hilly areas

  • Tsumami Evacuation Zones

    The tsunami evacuation zones are designed to encompass the range of inundation patterns for many individual possible tsunami. The use of tsunami evacuation areas/zones has the advantage of simplicity for emergency planning, public awareness and...

  • Statistics New Zealand Digital Boundaries

    This webpage contains the 2011 digital boundaries covering New Zealand, including the Chatham Islands. Compressed in zip format, the files contain the following geographic layers: meshblock (MB), area unit (AU), urban area (UA), territorial...

  • data.govt.nz website usage statistics Nov 09 - Oct 11

    Raw website usage statistics for data.govt.nz including unique visitors, page views, click-thoughs to data hosting websites, cumulative number of dataset listing pages, and 25 most viewed datasets per month.

  • Biodiversity Projects database

    This is a national catalogue of biodiversity inventory and monitoring projects, administered by the Department of Conservation, New Zealand. It includes metadata of inventory and monitoring projects and research projects managed by various...

  • Time Use Survey: 2009/10

    The 2009/10 Time Use Survey (TUS) provides information on how New Zealanders aged 12 years and over (12+) spend their time. The information was collected from two-day time use diaries between September 2009 and August 2010.

  • GDM - Ferns - Underlying Data: mattran

    This layer provides a transformation of environmental layer to best predict fern compositional trunover. Generalized Dissimilarity Modelling was used to produce a model of biotic composition in relation ship to environment and biogeography. This...

  • GDM - Ferns - Underlying Data: mastran

    This layer provides a transformation of environmental layer to best predict fern compositional trunover. Generalized Dissimilarity Modelling was used to produce a model of biotic composition in relation ship to environment and biogeography. This...

  • GDM - Ferns - Underlying Data: junestran

    This layer provides a transformation of environmental layer to best predict fern compositional trunover. Generalized Dissimilarity Modelling was used to produce a model of biotic composition in relation ship to environment and biogeography. This...

  • GDM - Ferns - Underlying Data: gdmxtran

    This layer provides a transformation of environmental layer to best predict fern compositional trunover. Generalized Dissimilarity Modelling was used to produce a model of biotic composition in relation ship to environment and biogeography. This...

  • GDM - Ferns - Underlying Data: discoasttran

    This layer provides a transformation of environmental layer to best predict fern compositional trunover. Generalized Dissimilarity Modelling was used to produce a model of biotic composition in relation ship to environment and biogeography. This...

  • GDM - Ferns - Underlying Data: calciumtran

    This layer provides a transformation of environmental layer to best predict fern compositional trunover. Generalized Dissimilarity Modelling was used to produce a model of biotic composition in relation ship to environment and biogeography. This...

  • GDM - Ferns - Underlying Data: agetran

    This layer provides a transformation of environmental layer to best predict fern compositional trunover. Generalized Dissimilarity Modelling was used to produce a model of biotic composition in relation ship to environment and biogeography. This...

  • GDM - All Plants - Underlying Data: vpdtran

    This layer provides a transformation of environmental layer to best predict plant compositional trunover. Generalized Dissimilarity Modelling was used to produce a model of biotic composition in relation ship to environment and biogeography. This...

  • GDM - All Plants - Underlying Data: tmintran

    This layer provides a transformation of environmental layer to best predict plant compositional trunover. Generalized Dissimilarity Modelling was used to produce a model of biotic composition in relation ship to environment and biogeography. This...

  • GDM - All Plants - Underlying Data: slopetran

    This layer provides a transformation of environmental layer to best predict plant compositional trunover. Generalized Dissimilarity Modelling was used to produce a model of biotic composition in relation ship to environment and biogeography. This...

  • GDM - All Plants - Underlying Data: raintran

    This layer provides a transformation of environmental layer to best predict plant compositional trunover. Generalized Dissimilarity Modelling was used to produce a model of biotic composition in relation ship to environment and biogeography. This...

  • GDM - All Plants - Underlying Data: r2pettran

    This layer provides a transformation of environmental layer to best predict plant compositional trunover. Generalized Dissimilarity Modelling was used to produce a model of biotic composition in relation ship to environment and biogeography. This...

  • GDM - All Plants - Underlying Data: mattran

    This layer provides a transformation of environmental layer to best predict plant compositional trunover. Generalized Dissimilarity Modelling was used to produce a model of biotic composition in relation ship to environment and biogeography. This...

  • GDM - All Plants - Underlying Data: mastran

    This layer provides a transformation of environmental layer to best predict plant compositional trunover. Generalized Dissimilarity Modelling was used to produce a model of biotic composition in relation ship to environment and biogeography. This...

  • GDM - All Plants - Underlying Data: junestran

    This layer provides a transformation of environmental layer to best predict plant compositional trunover. Generalized Dissimilarity Modelling was used to produce a model of biotic composition in relation ship to environment and biogeography. This...

  • GDM - All Plants - Underlying Data: gdmytran

    This layer provides a transformation of environmental layer to best predict plant compositional trunover. Generalized Dissimilarity Modelling was used to produce a model of biotic composition in relation ship to environment and biogeography. This...

  • GDM Classification of New Zealand Biotic Composition for All Forest Plants 20 groups

    This layer provides a classification of New Zealand ecosystems according to plant composition. Generalized Dissimilarity Modelling was used to produce a model of biotic composition in relation ship to environment and biogeography. This model was...

  • GDM Classification of New Zealand Biotic Composition for All Forest Plants 400 groups

    This layer provides a classification of New Zealand ecosystems according to plant composition. Generalized Dissimilarity Modelling was used to produce a model of biotic composition in relation ship to environment and biogeography. This model was...