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NZ Statistics: Statistics for Research

Find statistical information and data from historic to current, using databases, online data sources and publications


Until March 2013 Table Builder provided free online access to display set tables or graphs of New Zealand statistical data; change topic and area variables.

NZ.Stat replaced Table Builder from late March 2013.

Phone 0508525525 for Mon-Fri Help Desk support. 

NZ.Stat allows you to:

  • download larger volumes of data (up to 100,000 cells in Excel, and 1,000,000 in CSV format)
  • find data by browsing themes, or search for items
  • view metadata alongside the table (rather than in a separate window)
  • data is available from national to regional and territorial level, and often down to area unit level. For meshblock data you will need a customised data request or microdata request

NZ.Stat is powered by software provided by the OECD, which is also used by other statistical agencies around the world.

Statistics for Universities

Statistics for Universities - NZ universities' research staff and student access to specialised statistical products:

  •     data packages have supplementary variables to publicly available data:   

Business Demography
Census of Population and Dwellings
Disability Statistics
Household Economic Survey 
Household Labour Force Survey 
International Travel and Migration 
New Zealand Income Survey 
Student debt, income and repayments data package 
Time Use Survey 2009/10 – supplementary tables
Vital Statistics: Births and Deaths

  • Confidentialised Unit Record Files (CURFs) - are New Zealand and Australian unit record data that are modified to protect the confidentiality of respondents while maintaining the integrity of the data. Researchers in Christchurch and Wellington should contact their respective Medical Librarian to discuss access to CURF data. Researchers in Dunedin should contact Topics include:
    • Household Labour Force Survey
    • NZ General Social Survey
    • NZ Health Survey
    • NZ Oral Health Survey
    • 2013 Census...

MICRODATA COSTS REDUCED from 1 July 2014 - CURFs will be free!

  • Universities can also apply for access to CURFs produced by the Australian Bureau of Statistics (ABS). See Responsible access to CURFs training manual on the ABS website. Check out expected and available ABS CURF datasets.
  • SURFs - synthetic unit-record files (SURF) containing a number of records and variables, based on Statistics New Zealand surveys. These mimic the statistical properties of real microdata.
  • Customised data - A set allocation of pre-paid hours for customised data may be available to you for specific university research purposes. This applies to all datasets produced by Statistics NZ for which customised tables can be prepared. 

Please submit your request for customised data to, your university contact officer, or call the Statistics NZ Information Centre on 0508 525 525 to discuss your needs.

  • Statistics NZ seminars - staff and students will be invited when local or online seminars are occurring.

Check out other statistical services for university staff and students.


Classification Coding System

The Classification Coding System (CCS) provides:

  • a system for coding geographic address and standard classifications
  • a stand-alone and LAN/Network coding tool
  • an automatic coding function (which can be done using a delimited text file)
  • a stand-alone capability
  • a way of writing output to MS Access or MS Excel.

Download this tool, which was developed by Statistics NZ.

All images on this page have been sourced from Statistics NZ.

Integrated Data Infrastructure (IDI)

Statistics NZ’s Integrated Data Infrastructure (IDI) is a linked longitudinal dataset that covers an extended range of pathways and transitions information. The IDI allows for policy evaluation and research analysis, and the production of statistical outputs on the transitions and outcomes of people. It currently includes economic, education, justice, health and safety, migration, and business data. 

Introduction to Integrated Data Infrastructure (PDF)

Data sources include:

Contact for further information on data location, security, privacy and confidentiality. From 1 July 2014 data access costs will be reduced and new remote access locations set up. Overview page - Access our microdata.

Data Lab web page - has the application form as well as output guide attached and information about pricing for microdata access



Infoshare provides free online access to a wide range of time series data from Statistics New Zealand.

This web-based tool can be used to access, view, and download the most up-to-date official NZ statistics such as:

  • economic information (eg price indexes and production figures)
  • demographic measures (eg births and deaths)
  • arrival and departure data
  • wholesale and retail trade information
  • exports and imports data
  • building consents data.

Business Toolbox


Boost your small business with information from the Business Toolbox

Use the Market Mapper to:

  • locate your market by age, sex, income, household, or family type
  • zoom in on regions, areas, and suburbs.

Use the Industry Profiler to:

  • get stats on small businesses by industry and region
  • compare numbers of new businesses, worker turnover, survival rates, and average earnings for staff.

Use the Industry Benchmarks link to Inland Revenue’s website to:

  • compare your financial performance against similar firms in your industry and identify areas where you may differ
  • find information to help you make decisions for improving your business performance.    

Interactive Boundary Maps

Interactive Boundary Maps show facts about geographic areas in New Zealand, including the number of people and households. This free web-based tool shows the boundaries used for the 2006 Census, including the regions, towns or cities, area units, and meshblocks. 

Search by street address or area

All images on this page have been sourced from Statistics NZ.

Land Information New Zealand (LINZ)

Whether you are a home owner, lawyer, surveyor, or interested in land data sources, visit LINZ.