City Livability NZ

Team Name: 
Whangevangelists

We wanted to have an answer to the question "I'm fed up with my awful commute and I'm never going to save enough for a deposit on a house.  What are my other options?"

Our project was inspired by team-mate Martin's NZ City-based Social Progress + Lifestyle index from 2014, which in turn was based on the international Global Social Progress index (GSPI).

We have taken data from a wide variety of governmental sources, plus some non-governmental sources, to compile the index.  The categories broadly relate to the ones used in the GSPI, but as NZ is a fairly homogenous country in some aspects, some categories were removed as they did not allow us to differentiate between the towns in the index.  For instance, maternal mortality in NZ is approx 2 women per year, so this cannot be usefully used to compare individual cities or towns.

We have added categories that speak to the quality of lifestyle that New Zealanders aspire to.  Climate is a part of this, but housing affordability also plays a role.  If your housing costs are high, you have less remaining income to attain the lifestyle you aspire to.

Our index is customisable: users can add and remove categories and towns that they are not interested in, and the full index is recomputed based on the selected data. This allows someone with e.g. job offers in several towns to compare just those towns.

So if you are asking yourself the question: "I'm tired of commuting in Auckland and I'll never be able to buy a house here, to where can I move?", then our index can help you with the answer.

Region: 
Used Datasets: 
Dataset Name: 
Housing and property
Publishing Organisation/Agency: 
MBIE
Jurisdiction of Data: 
International
How did you use this data in your entry?: 
Rental affordability data (Shelter category)
Dataset Name: 
Home Loan Affordability
Publishing Organisation/Agency: 
Interest.co.nz
Jurisdiction of Data: 
Non-Government Organisations
How did you use this data in your entry?: 
First home buyer affordability (Shelter category)
Dataset Name: 
Earthquake risk categories
Publishing Organisation/Agency: 
Stuff.co.nz
Jurisdiction of Data: 
Non-Government Organisations
How did you use this data in your entry?: 
Shelter category
Dataset Name: 
School suspension rates per 1000 pupils
Publishing Organisation/Agency: 
Ministry of Education
Jurisdiction of Data: 
International
How did you use this data in your entry?: 
Knowledge Access
Dataset Name: 
NZ Maternal Clinical Indicators 2014
Publishing Organisation/Agency: 
Ministry of Health
Jurisdiction of Data: 
International
How did you use this data in your entry?: 
Health/Wellness index
Dataset Name: 
Homocides per 10,000 population, Crime level
Publishing Organisation/Agency: 
NZ Polics
Jurisdiction of Data: 
International
How did you use this data in your entry?: 
Personal safety stats
Dataset Name: 
Road Fatalities
Publishing Organisation/Agency: 
NZTA
Jurisdiction of Data: 
International
Dataset Name: 
Computers in homes support per capita
Publishing Organisation/Agency: 
Computers in homes
Jurisdiction of Data: 
Non-Government Organisations
How did you use this data in your entry?: 
Info/Comms access indicator
Dataset Name: 
total annual rain (mm)
Publishing Organisation/Agency: 
NIWA
Jurisdiction of Data: 
International
How did you use this data in your entry?: 
Climate indicator
Dataset Name: 
Mean minimum, maximum daily temperatures
Publishing Organisation/Agency: 
Wikipedia
Jurisdiction of Data: 
Non-Government Organisations
How did you use this data in your entry?: 
Climate indicator; used to calculate mean seasonal temperature range
Event Location: 
Whanganui