Population Density.

Find out where people live, work and play.

Data Ventures is working together with major telecommunication companies in New Zealand. Each provider gave Data Ventures access to an aggregated and anonymised sum total of mobile devices down to suburb in New Zealand, across different time periods.

From there, we use Stats NZ expertise to develop population estimates that represent not just the number of mobile devices, but all of New Zealand's population - including visiting, residing and population that don't own a mobile phone.

Features and Capabilities

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Segmented

Understand not just resident population, but also domestic and overseas visitors to the area.

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Custom Geographies

We can provide timely population estimates across a range of geographies, i.e. SA2, Ward, TA, RTO, Regional.

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API access

Sometimes it's just about getting the numbers, and you can via our secure API.

Tools and platform

Easily access our data using some of the tools we have developed specifically for this type of data.

Population Explorer

Use your eye, see the patterns.

Sometimes it not even about the numbers, it is about doing a sense check on population patterns. Using Population Explorer, this allows you to sample an area of New Zealand and compare to another area to see how they perform.

Seasonal Comparison

Winter vs Summer, Autumn vs Spring

When you're responsible for the utlisation and demand of assets, services and infrastructure, it's important to know when the best time to plan is. This Seasonal Comparison can help you find the right time for planned maintenance or identify an opportunity to stimulate the area with a new event to bring the crowds.

Population Density Data

Just give me the data.

When all you want is the data because you already have the team and expertise to build better tools and insights than us. This is a fast option to get what data you need for when and where.

Sample Data

Sometimes you just have to see what the data looks like to understand what it can do. Here's a sample of the data so you can see fields of data we can offer.

region_2018_code ta_2018_code sa2_2018_code time international domestic local count
8 20 187600 2019-01-01 00:00:00 23 18 18 41
8 34 220200 2019-01-01 00:00:00 47 18 18 65
8 36 222300 2019-01-01 00:00:00 1317 70 18 1387
8 36 222400 2019-01-01 00:00:00 4091 85 18 4176
8 36 222500 2019-01-01 00:00:00 730 18 18 748
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