People in New Zealand who rated their neighbourhood as very unattractive
By disability status, 2018, % of people within group (rating of 0 to 4 out of 10)
For more information
Limitations of the data
Data with high sampling errors should be used with caution. Estimates with high relative sampling errors (RSEs) between 50 and 100 percent are considered unreliable for most uses.
Data provided by
New Zealand General Social Survey: Well-being measures 2018
How to find the data
Under Downloads, select 'Wellbeing statistics: 2018 – CSV' This will download a zipped file which contains three seperate csv files. Figure NZ has compiled these into one file.
Import & extraction details
File as imported: New Zealand General Social Survey: Well-being measures 2018
From the dataset New Zealand General Social Survey: Well-being measures 2018, this data was extracted:
- Sheet: neighbourhood & environmental
- Provided: 10,856 data points
This data forms the table Society - Neighbourhood and environmental measures 2018.
Dataset originally released on:
June 26, 2019
Purpose of collection
The New Zealand General Social Survey (NZGSS) produces statistics about social well-being to inform decision-making by government agencies and the wider community. Data gathered includes objective information about circumstance, such as labour force status and income, as well as a personal assessment of different aspects of New Zealander's lives, such as life satisfaction, health, housing, human rights, and relationships. In particular, the survey provides a view of how well-being outcomes vary across different groups within the population.
Method of collection/Data provider
Stats NZ use household and personal questionnaires to collect the data. One individual in the household completes the household questionnaire, which collects information about all the usually resident people in that household (eg family relationships and household income). Stats NZ randomly select one individual in the household aged 15 years or over to answer the personal questionnaire.
The sample size was approximately 12,000 households.