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This dataset was first added to Stats NZ Geographic Data Service on 24 May 2020.
The geographic areas file 2018 is a downloadable csv file that classifies meshblocks into larger geographic areas, such as statistical area 2s, territorial authorities, and regional councils. You can use this areas file, also known as a concordance file, to see how the various geographic boundaries link together.
For each meshblock, there is a series of codes that link to any meshblock-defined geographic area. All areas are set as at 1 January of the specified year. Concordance files are available from different years, to enable data for the same area classification to be compared over time.
The areas files can be used in conjunction with the geographic boundary files available on Stats NZ's Geographic Data Service.
Creative Commons Attribution 4.0 International
You may use this work for commercial purposes.
You must attribute the creator in your own works.
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1. | 2018 Geographic Areas File lookup.pdf | 81.8 KB |
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Information | |
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Category | Annual Boundaries > 2018 |
Tags | 2018, areas table, annual areas file, geographic areas, concordance |
Technical Details | |
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Table ID | 104680 |
Data type | Table |
Row count | 53589 |
Columns | MB2001_code, MB2006_code, MB2010_code, MB2011_code, MB2013_code, MB2017_code, MB2018_code, SA12018_code, SA22018_code, SA22018_name, UR2018_code, UR2018_name, IUR2018_code, IUR2018_name, TA2018_code, TA2018_name, WARD2018_code, WARD2018_name, CB2018_code, CB2018_name, TASUB2018_code, TASUB2018_name, REGC2018_code, REGC2018_name, CON2018_code, CON2018_name, MCON2018_code, MCON2018_name, GED2014_code, GED2014_name, MED2014_code, MED2014_name, DHB2015_code, DHB2015_name, DHBCON2015_code, DHBCON2015_name, HDOM2013_code, TA2010_code, TA2010_name, AU2013_code, AU2013_name, AU2017_code, AU2017_name, UA2017_code, UA2017_name |
Services | Web Feature Service (WFS), Catalog Service (CS-W), data.govt.nz Atom Feed |
History | |
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Added | 24 May 2020 |
Revisions | 3 - Browse all revisions |
Current revision | Imported on May 24, 2020 from CSV . |