Digital Divide

Visualising New Zealand’s digital divide

Visualising the Digital Divide

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Digital inclusion

Overall score for Digital inclusion:

  • Infrastructure availability:
  • Access to infrastructure:
  • Digital skill level:

Social well-being

Overall score for Social well-being:

How we calculate the scores

Available resources

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    Click on the map to see more detail about the digital inclusion, social well-being and resources available in each area.

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    What the map shows

    The map shows the correlation between social well-being and digital inclusion in New Zealand. It offers a high level view of inequality and opportunities to help shape digital investment and the allocation of resources to improve connectivity.

    The map is divided into area units

    Area units are between meshblocks and territorial authorities in size.

    In urban areas, they generally cover a suburb or part of a suburb, with a population of 3,000 to 5,000. This can vary due to industrial areas, port areas, rural areas and so on.

    In rural areas, some territorial authorities cross regional boundaries, which has resulted in a number of area units having only two or three meshblocks and a very low population count.

    Download the StatisticsNZ file used to calculate area units (243 Mb)

    What the colours mean

    A chart showing the interaction between digital inclusion and social well-beingLOWMEDHIGHLOWMEDHIGHSocial well-beingDigital inclusion

    The colours on the map represent the two measures. We use transparency to show how well or badly an area is doing. The more transparent the colour, the worse an area is doing. To put it simply:

    Dark = good

    Light = bad

    By overlayng the colours, you can see correlations between them.

    How we calculate the low, medium and high scores

    The data is divided into three sections. Each measure is calculated differently and described below. Generally however when the data is a percentage, the high and low scores are always the bottom and top 20%.

    Distribution of scores when using percentages over the 5 quintiles. Medium occupies the 3 middle quintilesHIGHLOWMEDIUM0-20%21-79%80-100%

    When the data is an index, The low score is 2 and below, while the high score is 8 and above.

    Distribution of scores when using indexesHIGHLOWMEDIUM1-23-78-10

    Digital inclusion

    The overall score for digital inclusion is calculated from the average score of three sub-measurements - infrastructure, access and skills

    • Infrastructure

      This data comes from the National Broadband Map. Area units were given a score based on the percentage of addresses within an area unit that are able to receive broadband.

      0%-20% can receive broadband
      21%-79% can receive broadband
      80%-100% can receive broadband
    • Access

      This data comes from the 2013 Census, specifically responses to part of the access to telecommunications question in the households section. We calculated the percentage of households within an area unit that have access to the Internet

      0%-20% have internet access
      21%-79% have internet access
      80%-100% have internet access
    • Skills

      The data comes from New Zealand respondents to the OECD PIAAC Survey Respondents were asked how often they engaged in various ICT activities at home and work, and whether they had the necessary ICT skills. We used the PIAAC-produced combined home and work ICT scores, which are based on these answers. For each Area Unit (AU), we took the PIAAC responses for the associated Territorial Authority (TA) and weighted the responses using Census data (gender, age, education) for that AU. TAs with low number of responses were discarded. Based on the weighted results, we generated a scale from 1-10 for every valid AU, which was used for the final result.

      scaled value of 2 or less
      scaled value of 3-7
      scaled value of 8 or more

    Social well-being

    The data for ‘Social well-being’ is taken from the New Zealand Index of Socioeconomic Deprivation produced by the Department of Public Health at the University of Otago.

    The index takes into account the following factors:

    • People under 65 with no Internet access at home
    • People 18-64 receiving a means tested benefit
    • People living in equivalised households with income below an income threshold
    • People aged between 18-64 who are unemployed
    • People aged 18-64 without any qualifications
    • People not living in their own home
    • People under 65 living in a single parent family
    • People living in equivalised households below a bedroom occupancy threshold
    • People with no access to a car

    The Index is given as a value between 1 and 10 using the CAU_average_NZDep2013 column found in the Index of Deprivation (PDF).

    Note: This index contains data from the 2013 Census relating to the availability of Internet at home. The data is also measured in the access section and could lead to it being double counted. Unfortunately, Otago University was unable to provide the dataset to remove this due to restrictions by StatisticsNZ.

    How we get resource information

    Resource information is sourced from InternetNZ strategic partner 20/20 Trust’s Digital Inclusion Map.

    You can suggest a missing resource or correct resource information by clicking on it on the Digital Inclusion Map and clicking 'Mistake in this digital pin? Please send us your correction.'

    Contact us

    Want to talk to us about this map, or tell us about a missing resource? Please email us: