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189 results for "Gross Domestic Product (GDP)" found in website content

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  • Do's and dont's of using the data.govt.nz API

    Data.govt.nz's data APIs are made openly available for users and it's worth taking a moment to find out what you can and cannot do when using our APIs in your own applications.

  • Category: Save/Destroy

    The following tables show the capabilities in one the 7 possible categories (i.e., capabilities get repeated across the categories as applicable). This view is useful if…

  • Category: Use

    The following tables show the capabilities in one the 7 possible categories (i.e., capabilities get repeated across the categories as applicable). This view is useful if…

  • How do you create a data dictionary?

    Learn about the decisions you need to make before creating a data dictionary and the tools that might help. Explore examples of data dictionaries published by…

  • Official statistics

    Tier 1 statistics are New Zealand’s most important statistics, and are essential to help the Government, business, and members of the public to make informed decisions and monitor the state and progress of New Zealand.

  • Your trusty sidekick at GovHack 2017

    We’re ramping up for this year’s GovHack event at the moment and excited to be a national sponsor again this year.

  • GovHack 2016

    The Department of Internal Affairs has sponsored $2,000 bounties for the each of the two following national challenge questions.

  • Guidance note 6

    SummaryNZGOAL guidance notes1. NZGOAL is the New Zealand Government Open Access and Licensing framework. NZGOAL guidance notes either explore issues raised in NZGOAL or address operational…

  • Refreshing our navigation to help you find what you need

    Data.govt.nz is changing and updating our navigation to help you find things easier. Read about what we found from our user research.

  • Collaborating to make data easier to discover and use

    The data.govt.nz, Open Data Programme and Stats NZ teams got together at the Service Innovation Lab last week to share experiences, compare notes and ideate around models that could serve users better in data discovery and use.

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