Google data shows how NZ is complying with lockdown

Empty streets across New Zealand (clockwise, from top left) in Auckland, Wellington, Christchurch...
Empty streets across New Zealand (clockwise, from top left) in Auckland, Wellington, Christchurch and Dunedin. Photo: RNZ
New Zealanders are mostly staying at home during lockdown, with trips to the supermarket down by 54 percent and transport hubs by 84 percent, according to a new data report from Google.

Google has been tracking New Zealanders' movements to show how often we are going to work, parks, supermarkets and transport hubs during lockdown.

The tech giant recently released community mobility reports for 131 countries, saying it had heard from public health officials that the data would be useful in their response to Covid-19.

The report for New Zealand is based on Sunday 29 March, the fourth day of lockdown. It compares data from that Sunday with the average Sunday between January 3 and February 6 of this year.

It showed New Zealanders' trips to retail and recreation facilities, such as restaurants, cafes, shopping centres and libraries were down 91 percent.

Trips to groceries and pharmacies were down 54 percent, trips to parks, beaches and public gardens were down by 78 percent and visits to transport hubs, such as bus and train stations, had dropped by 84 percent.

Visits to workplaces were down by 59 percent and the trend for 'places of residence' was up by 22 percent. The data is broken down for regions at the bottom of this article.

The reports were generated from people who have their location history setting turned on, "so may or may not represent the exact behaviour of a wider population".
Google said it used "differential privacy" which added artificial noise to the datasets, which enabled "high quality results without identifying any individual person". It would not disclose how many people the reports were based on.

In a blog post, Google chief health officer Karen DeSalvo and Google Geo senior vice president Jen Fitzpatrick explained how Google used aggregated, anonymised data showing how busy certain types of places were.

"In addition to other resources public health officials might have, we hope these reports will help support decisions about how to manage the Covid-19 pandemic. For example, this information could help officials understand changes in essential trips that can shape recommendations on business hours or inform delivery service offerings.

"Similarly, persistent visits to transportation hubs might indicate the need to add additional buses or trains in order to allow people who need to travel room to spread out for social distancing.

"Ultimately, understanding not only whether people are travelling, but also trends in destinations, can help officials design guidance to protect public health and essential needs of communities."

RNZ compared the data for New Zealand to reports for 10 other countries which reported their first confirmed cases of Covid-19 on the same day as New Zealand or the day before.

How New Zealand's data compares to other countries Image: RNZ
How New Zealand's data compares to other countries Image: RNZ
All of the countries have enforced some sort of quarantine or lockdown.

Of the 10 countries, New Zealand reported the highest level of reduced travel to all categories listed in the Google data reports.

RNZ has approached Ministry of Health for comment.

How New Zealand's regions compare

Auckland

Retail and recreation -89 percent
Supermarkets and pharmacies -55 percent
Parks -70 percent
Transit stations -83 percent
Workplace -64 percent
Residential +25 percent

Bay of Plenty

Retail and recreation -92 percent
Supermarkets and pharmacies -51 percent
Parks -86 percent
Transit stations -83 percent
Workplace -52 percent
Residential +22 percent

Canterbury

Retail and recreation -90 percent
Supermarkets and pharmacies -56 percent
Parks -83 percent
Transit stations -90 percent
Workplace -60 percent
Residential +22 percent

Gisborne

Retail and recreation -100 percent
Supermarkets and pharmacies -48 percent
Parks -88 percent
Transit stations - Not enough data
Workplace -47 percent
Residential - Not enough data

Hawke's Bay

Retail and recreation -94 percent
Supermarkets and pharmacies -53 percent
Parks -78 percent
Transit stations -84 percent
Workplace -51 percent
Residential +31 percent

Manawatu-Whanganui

Retail and recreation -93 percent
Supermarkets and pharmacies -50 percent
Parks -76 percent
Transit stations -84 percent
Workplace -54 percent
Residential +33 percent

Marlborough

Retail and recreation -92 percent
Supermarkets and pharmacies -60 percent
Parks -83 percent
Transit stations -91 percent
Workplace -25 percent
Residential - Not enough data

Nelson

Retail and recreation -100 percent
Supermarkets and pharmacies -60 percent
Parks -81 percent
Transit stations - Not enough data
Workplace -61 percent
Residential +4 percent

Northland

Retail and recreation -93 percent
Supermarkets and pharmacies -55 percent
Parks -86 percent
Transit stations -86 percent
Workplace -52 percent
Residential +32 percent

Otago

Retail and recreation -95 percent
Supermarkets and pharmacies -62 percent
Parks -82 percent
Transit stations -91 percent
Workplace -64 percent
Residential +39 percent

Southland

Retail and recreation -96 percent
Supermarkets and pharmacies -53 percent
Parks -83 percent
Transit stations - Not enough data
Workplace -48 percent
Residential +21 percent

Taranaki

Retail and recreation -95 percent
Supermarkets and pharmacies -52 percent
Parks -86 percent
Transit stations -Not enough data
Workplace -51 percent
Residential +17 percent

Tasman

Retail and recreation -90 percent
Supermarkets and pharmacies -67 percent
Parks -89 percent
Transit stations - Not enough data
Workplace -54 percent
Residential - Not enough data

Waikato

Retail and recreation -94 percent
Supermarkets and pharmacies -55 percent
Parks -84 percent
Transit stations -82 percent
Workplace -57 percent
Residential +23 percent

Wellington

Retail and recreation -93 percent
Supermarkets and pharmacies -54 percent
Parks -63 percent
Transit stations -84 percent
Workplace -62 percent
Residential +20 percent

West Coast

Retail and recreation -100 percent
Supermarkets and pharmacies -61 percent
Parks -87 percent
Transit stations - Not enough data
Workplace -54 percent
Residential - Not enough data

Comments

Almost more disturbing than the guy coughing on ppl at the supermarket

Fewer trips to supermarket? Many older people have to wait for days, if not weeks to get a delivery order because some younger people are using this service. If people are fit and able to queue, please do so.