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Wave 1 : Friday 17 April 2020

How are Mauritians moving during lockdown?


Data as at: Friday 17 April 2020

Read the Wave 2 of this analysis with data as at Saturday 02 May 2020

Ever since the lockdown in Mauritius, we’ve seen enormous efforts from several stakeholders to enforce social distancing. 

But, how do you keep an eye on public movement in every corner of the island? 

I believe technology and proper data mining, can help in identifying specific areas where people tend to go. 

The solution: use Google My Business and Google Maps to identify crowded stores, restaurants and others at specific locations and time. 

Earlier this month, Google released its first data set on COVID-19 Community Mobility. They used aggregated, anonymized data from users having their geo-location activated on their mobile. 

If you want to read more about the research, head to my simple explainer. 

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The data I retrieved shows customers movement over time, specific geographic locations, and most visited places such as pharmacies, workplace, residential, among others.

Graphs that you will find in this article are as of Friday 17 April 2020. 

Before going in the details, here is a digest of my analysis:

  • Mauritius went in complete lockdown on 18 March and some customer mobility graphs show peaks of +37% above baseline.
  • Travelling did fall by -86% from the baseline. 
  • People at workplaces dropped by 79% from baseline with few peaks later on.

How Mauritians moved before and after the lockdown?

The graph above shows where Mauritians were actually spending most of their time before and after the lockdown. Here are few of my observations: 

  • There are peak of Residential during weekends and on the National Independence day;
  • Following the complete lockdown (Day 1 lockdown), there was a peak (+37%) above the baseline, indicating people rushed to the supermarkets and pharmacies;
  • I noticed sequential drops in Residential figures over three consecutive Sundays (29th March, 5th April, and 12th April, respectively.
  • The three drops result possibly from the fact that Mauritians went out for Groceries and Retails activities, with both of these experiencing some micro peaks. 

What about the districts?

In this section, we’ll deep dive in more details regarding Mauritians’ movement before and after the lockdown in specific districts. 

Flacq District

Statistics for Flacq district from baseline as at Friday 17 April 2020

  • Retail and Recreation: -78% from Baseline
  • Grocery & pharmacy: -67% compared to baseline
  • Parks: -80% from Baseline
  • Transport: Not enough data
  • Workplace: -80% compared to baseline
  • Residential: +8% from baseline

Grand Port District

Statistics for Grand Port district from baseline as at Friday 17 April 2020

  • Retail and Recreation: -76% from baseline
  • Grocery & pharmacy: -90% compared to baseline
  • Parks: -73% from baseline
  • Transport: -94% from baseline
  • Workplace: -80% compared to baseline
  • Residential: +8% from baseline

Moka District

Statistics for Moka district from baseline as at Friday 17 April 2020

  • Retail and Recreation: -88% from baseline
  • Grocery & pharmacy: -33% compared to baseline
  • Parks: Not enough data
  • Transport: -84% from baseline
  • Workplace: -80% compared to baseline
  • Residential: +8% from baseline

Pamplemousses District

Statistics for Pamplemousses district from baseline as at Friday 17 April 2020

  • Retail and Recreation: -72% from baseline
  • Grocery & pharmacy: -49% compared to baseline
  • Parks: -88% compared to baseline
  • Transport: -75% from baseline
  • Workplace: -78% compared to baseline
  • Residential: +7% from baseline

Plaines Wilhems District

Statistics for Plaines Wilhems district from baseline as at Friday 17 April 2020

  • Retail and Recreation: -84% from baseline
  • Grocery & pharmacy: -68% compared to baseline
  • Parks: -85% compared to baseline
  • Transport: -90% from baseline
  • Workplace: -83% compared to baseline
  • Residential: +39% from baseline

Port Louis District

Statistics for Port Louis district from baseline as at Friday 17 April 2020

  • Retail and Recreation: -90% from baseline
  • Grocery & pharmacy: -76% compared to baseline
  • Parks: -87% compared to baseline
  • Transport: -86% from baseline
  • Workplace: -78% compared to baseline
  • Residential: +6% from baseline

Black River District

Statistics for Rivière Noire district from baseline as at Friday 17 April 2020

  • Retail and Recreation: -87% from baseline
  • Grocery & pharmacy: -65% compared to baseline
  • Parks: -89% compared to baseline
  • Transport: -82% from baseline
  • Workplace: -81% compared to baseline
  • Residential: +8% from baseline

Rivière Du Rempart District

Statistics for Rivière Noire district from baseline as at Friday 17 April 2020

  • Retail and Recreation: -83% from baseline
  • Grocery & pharmacy: -73% compared to baseline
  • Parks: -88% compared to baseline
  • Transport:  Not enough data
  • Workplace: -79% compared to baseline
  • Residential: +8% from baseline

Savanne District

Statistics for Savanne district from baseline as at Friday 17 April 2020

  • Retail and Recreation: -100% from baseline
  • Grocery & pharmacy: -60% compared to baseline
  • Parks: -85% compared to baseline
  • Transport:  Not enough data
  • Workplace: -78% compared to baseline
  • Residential: Not enough data

Rodrigues

Statistics for Rodrigues district from baseline as at Friday 17 April 2020

  • Retail and Recreation: Not enough data
  • Grocery & pharmacy: Not enough data
  • Parks: -30% compared to baseline
  • Transport:  Not enough data
  • Workplace: -16% compared to baseline
  • Residential: Not enough data

About the data

The data used in this report are obtained based on popular times for places on Google Maps. These usually show the visits and length of stay at specific places, which are then compared to a baseline.

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The Baseline, is the median value, for the corresponding day of the week, during the 5-week period Jan 3–Feb 6, 2020. 

The data retrieved by Google is based on user settings, connectivity at particular places, and whether it meets Google’s privacy threshold.

The sample size is based on users who have opted-in to Location History for their Google Account.

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