Data Ventures is working together with the major telecommunication companies in New Zealand.
Using the aggregated and anonymised mobile data[*] provided to us, along with Stats NZ expertise, Data Ventures has created population estimates of residents and visitors in New Zealand every hour down to suburb level. Read more in the footnotes page.
As our population reacts to the environment of COVID-19, there is evidence of large increases in movement around New Zealand. Because of that, it’s now worth looking at our country as a whole. To do that we have highlighted international and domestic population numbers, as well as our national mobility index[*] as we continue through COVID-19 Alert levels.
To help explain what the numbers mean below, we describe domestic population as people who are outside of their local tourism region. These regions are defined by Regional Tourism Organisations.
Domestic population
-15%
CHANGE IN THE
LAST 2 WEEKS
International population
-2%
CHANGE IN THE
LAST 2 WEEKS
National mobility index
+67%
CHANGE IN THE
LAST 2 WEEKS
NOTE: The vertical lines represent COVID-19 Alert Levels as they progressed, starting at the first line when NZ borders closed, through to our current alert level.
As we all settle into what is a new set of habits, it's important we understand what these new habits look like.
On this page of the report we have sampled average hourly representations of population estimates in New Zealand around six key areas across COVID-19 in New Zealand. We have used the population patterns previous to COVID-19 to identify these areas. Refer to our notes[*] at the end of this report to understand a bit more detail of what each areas/behaviours of New Zealand these graphs represent.
Percentages below represent the difference of average midday (12pm) peak population counts in lockdown.
retail
recreational
residential
tourism
transit
workplace
NOTE: The vertical lines represent COVID-19 Alert Levels as they progressed, starting at the first line when NZ borders closed, through to our current alert level.
By looking at hourly population counts[*] across the country, we can get a good idea of how behaviour has changed in response to COVID-19. The data presented here uses hourly population counts for six types of areas[*] in New Zealand - retail, transit, residential, tourism, workplace and recreational.
In this part of the report, we cover off three periods: a normal week in 2019[*], two weeks ago, and one week ago. We have broken out the comparisons into two: one comparing last week to a normal week in 2019 to see the changes compared to last year, and the other comparing what has happened over the last two weeks. From doing this, these are the insights we have discovered.
Uses of these insights: The comparison to a normal week in 2019 can be used to offset other datasets designed prior to COVID-19. The figures contained in this report could be used to make adjustments to previously known datasets’ values. The two week comparison allows you to measure a sentiment of change over a shorter period. Footnotes
1 week ago v normal week 2019
1 week ago
normal week 2019
1 week ago v 2 weeks ago
1 week ago
2 weeks ago
1 week ago v normal week 2019
1 week ago
normal week 2019
1 week ago v 2 weeks ago
1 week ago
2 weeks ago
1 week ago v normal week 2019
1 week ago
normal week 2019
1 week ago v 2 weeks ago
1 week ago
2 weeks ago
1 week ago v normal week 2019
1 week ago
normal week 2019
1 week ago v 2 weeks ago
1 week ago
2 weeks ago
1 week ago v normal week 2019
1 week ago
normal week 2019
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2 weeks ago
1 week ago v normal week 2019
1 week ago
normal week 2019
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2 weeks ago
In this section we explore mobility index for the population of New Zealand in six key categories[*] during COVID-19.
Our mobility measure[*] is created using the difference between maximum and minimum population estimates in categories of New Zealand over a day. This allows us to get an idea of mobility between each day of 2020 in this report compared to similar days from 2019.
retail
recreational
residential
tourism
transit
workplace
NOTE: The vertical lines represent COVID-19 Alert Levels as they progressed, starting at the first line when NZ borders closed, through to our current alert level.
In this section we explore the mobility index patterns for the regions of New Zealand[*] during COVID-19.
Our mobility measure[*] is created using the difference between maximum and minimum population estimates in areas of New Zealand over a day. This allows us to get an idea of mobility between each day of 2020 in this report compared to similar days from 2019.
northland
auckland
waikato
bay of plenty
gisborne
hawke's bay
taranaki
manawatu-wanganui
wellington
west coast
canterbury
otago
southland
tasman
nelson
marlborough
NOTE: The vertical lines represent COVID-19 Alert Levels as they progressed, starting at the first line when NZ borders closed, through to our current alert level.
The purpose of this comparison is to see how we are tracking in changes of mobility[*] in our progress throughout COVID-19 and its various Alert Levels (1 through to 4). As Alert Levels are escalated/de-escalated, this is a good figure to understand the impacts on New Zealand’s population and their behaviour.
1 week ago v normal week 2019
The purpose of this comparison is to see how we are tracking in changes of mobility[*] in our progress throughout COVID-19 and its various Alert Levels (1 through to 4). As Alert Levels are escalated/de-escalated, this is a good figure to understand the impacts on New Zealand’s population and their behaviour.
1 week ago v 2 weeks ago