DDI
Measure socio-economic deprivation in near real-time
Previously this information was only available through the census every five years, which quickly became out-of-date. No one else in the world is measuring deprivation on a monthly basis.
Find out moreGovernment, local Councils, and agencies such as charity groups have used DDI to answer questions like:
How do we better target our funding to prioritise those who need it most?
How is the deprivation of my region changing over time?
What suburbs have the highest level of unemployment?
Public and proprietary data sources are combined to create a deprivation index score. Each area unit is given an score between 1 and 10, where 1 is doing really well (the best 10% of New Zealand), and 10 is very deprived (the worst 10%).
DOT’s DDI is the most holistic measure of deprivation available as it includes other social factors and behavioural data to provide a more accurate reflection of New Zealand’s deprivation levels at any given time.
The DDI has been validated through academic peer review and has many use cases, including published manuscripts. The methodology is close to the well-validated NZDep studies.
With monthly updates of the index, the DDI enables us to quickly see which initiatives work, and where action is needed.
Hutt City Council were able to get a clear picture of how pockets of their community were struggling so they could implement change, and then measure the success of new initiatives.
Salvation Army were able to understand exactly where New Zealand’s most vulnerable were, and look to see where they should provide funding and support.
Ruapehu District Council used the data to compare their region with other districts to support requests for government funding and policy change.
SKY integrated DDI into their Dynamic Customer View as an additional layer to help them better understand their customers.
Hutt City Council were able to get a clear picture of how pockets of their community were struggling so they could implement change, and then measure the success of new initiatives.
Salvation Army were able to understand exactly where New Zealand’s most vulnerable were, and look to see where they should provide funding and support.
Ruapehu District Council used the data to compare their region with other districts to support requests for government funding and policy change.
SKY integrated DDI into their Dynamic Customer View as an additional layer to help them better understand their customers.
