Vote Compass: What you think about... housing




More than 200,000 people have now completed Vote Compass - 1 NEWS' online tool which lets you see how your views line up with the parties' policies.

We've been analysing the numbers to see what you've had to say about housing. We'll share more of this data as it comes through on other topics throughout the election campaign.

The suggestion that the government should do more to support affordable housing was backed by a large majority of people - 75% said they somewhat or strongly agreed with the government building more of this type of accommodation. Women were more strongly in favour than men.

Source: 1 NEWS

The difference between where people are on the political spectrum was wide - the left being much more pro the idea than the right.

Source: 1 NEWS

Likewise, there was a substantial difference in the views of Maori as opposed to non-Maori.

Source: 1 NEWS

On the question of restricting tax breaks for property investors, most said there should be but there were also variations among different groups.

Source: 1 NEWS

Immigrants were more in favour of restrictions than people born in New Zealand.

Source: 1 NEWS

And older a person is, the more they tended to support restrictions.

Source: 1 NEWS

Developed by a team of social and statistical scientists from Vox Pop Labs, Vote Compass is a civic engagement application offered in New Zealand exclusively by TVNZ. The findings shown here are based on 62,889 respondents who participated in Vote Compass from August 20, 2017 to August 23, 2017. Unlike online opinion polls, respondents to Vote Compass are not pre-selected. Similar to opinion polls, however, the data are a non-random sample from the population and have been weighted in order to approximate a representative sample. Vote Compass data have been weighted by gender, age, education, religion, occupation, and Mãori descent to ensure the sample’s composition reflects that of the actual population of New Zealand according to census data and other population estimates.

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