posts: 39274
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39274 | COVID-19: Google Mobility Trends | covid-google-mobility-trends | page | publish | <!-- wp-block-tombstone 34317 --> <!-- wp:owid/byline --> <!-- wp:paragraph --> <p><a href="https://ourworldindata.org/team"><strong>Research and data:</strong> Edouard Mathieu, Hannah Ritchie, Lucas Rodés-Guirao, Cameron Appel, Daniel Gavrilov, Charlie Giattino, Joe Hasell, Bobbie Macdonald, Saloni Dattani, Diana Beltekian, Esteban Ortiz-Ospina, and Max Roser</a></p> <!-- /wp:paragraph --> <!-- /wp:owid/byline --> <!-- wp:owid/last-updated --> <!-- wp:paragraph {"placeholder":"Enter last updated information..."} --> <p>⚠️ <em>The data presented on this page is no longer updated since 15 October 2022. <a href="https://www.google.com/covid19/mobility" target="_blank" rel="noreferrer noopener">Find out more.</a></em></p> <!-- /wp:paragraph --> <!-- /wp:owid/last-updated --> <!-- wp:html --> <!-- formatting-options subnavId:coronavirus subnavCurrentId:policy-responses --> <!-- /wp:html --> <!-- wp:heading {"level":3} --> <h3>How has the pandemic changed the movement of people around the world?</h3> <!-- /wp:heading --> <!-- wp-block-tombstone 33915 --> <!-- wp:paragraph --> <p>To tackle the <a href="https://owid.cloud/coronavirus">Coronavirus pandemic</a>, countries across the world have implemented a range of stringent policies, including <a href="https://ourworldindata.org/policy-responses-covid#stay-at-home-restrictions">stay-at-home 'lockdowns</a>'; <a href="https://ourworldindata.org/policy-responses-covid#school-and-workplace-closures">school and workplace closures</a>; cancellation of <a href="https://ourworldindata.org/policy-responses-covid#cancellation-of-public-events-and-gatherings">events and public gatherings</a>; and restrictions on <a href="https://ourworldindata.org/policy-responses-covid#public-transport">public transport</a>.</p> <!-- /wp:paragraph --> <!-- wp:paragraph --> <p>These measures were implemented to slow the spread of the virus by enforcing physical distance between people.</p> <!-- /wp:paragraph --> <!-- wp:paragraph --> <p>How effective have these policies been in reducing human movement? What impact has it had on how people across the world work; live; and where they visit?</p> <!-- /wp:paragraph --> <!-- wp:paragraph --> <p>We can get some insights on this from the data that Google presents in its <a href="https://www.google.com/covid19/mobility/"><em>COVID-19 Community Mobility Reports</em></a>. Using anonymized data provided by apps such as Google Maps, the company has produced a regularly updated dataset that shows how peoples' movements have changed throughout the pandemic.{ref}Note that Google emphasize: "The Community Mobility Reports were developed to be helpful while adhering to our stringent privacy protocols and protecting people’s privacy. No personally identifiable information, such as an individual’s location, contacts or movement, will be made available at any point.<br><br>Insights in these reports are created with aggregated, anonymized sets of data from users who have turned on the <a href="https://support.google.com/accounts/answer/3118687?hl=en">Location History</a> setting, which is off by default."{/ref}</p> <!-- /wp:paragraph --> <!-- wp:paragraph --> <p>This dataset from Google measures visitor numbers to specific categories of location (e.g. grocery stores; parks; train stations) every day and compares this change relative to baseline days before the pandemic outbreak. Baseline days represent a normal value for that day of the week and are given as the median value over the five‑week period from January 3rd to February 6th 2020. Measuring it relative to a normal value <em>for that day of the week</em> is helpful because people obviously often have different routines on weekends versus weekdays.</p> <!-- /wp:paragraph --> <!-- wp:paragraph --> <p>On Google's website the data is only visualized in pdfs – one for each country. We present Google's data in interactive charts below to make it easier to see changes over time in a given country; and how specific policies may have affected (or not) behavior across communities. Google notes that we should avoid comparing across regions or countries; this is because there may be local differences in categories which could be misleading.</p> <!-- /wp:paragraph --> <!-- wp:paragraph --> <p>We should also emphasise that change in visitors is measured relative to the baseline period between January and February 2020. This means changes in movement do not take account of seasonal variation – for example, we might expect visitors to parks or outdoor spaces to be higher during the summer. The data may therefore reflect some changes in seasonal movements, rather than being fully explained by changes due to the pandemic.</p> <!-- /wp:paragraph --> <!-- wp:paragraph --> <p>The amount of day-to-day variability in the raw data can make it difficult to understand how overall movements are changing over time. To make this easier to understand, we have converted the raw data into the <strong>seven-day rolling average</strong>. This is what is shown in the data in the following charts. </p> <!-- /wp:paragraph --> <!-- wp:heading {"level":3} --> <h3>Change in visitors by category</h3> <!-- /wp:heading --> <!-- wp:columns {"className":"is-style-sticky-left"} --> <div class="wp-block-columns is-style-sticky-left"><!-- wp:column --> <div class="wp-block-column"><!-- wp:html --> <iframe src="https://ourworldindata.org/grapher/changes-visitors-covid" style="width: 100%; height: 600px; border: 0px none;"></iframe> <!-- /wp:html --></div> <!-- /wp:column --> <!-- wp:column --> <div class="wp-block-column"><!-- wp:paragraph --> <p>This interactive chart shows how the number of visitors (or time spent) in categorized places has changed compared to baseline days (the median value for the 5‑week period from January 3 to February 6, 2020).</p> <!-- /wp:paragraph --> <!-- wp:paragraph --> <p>The ‘Residential’ category shows a change in duration of time spent at home—the other categories measure a change in total visitors.</p> <!-- /wp:paragraph --> <!-- wp:paragraph --> <p>This index is smoothed to the rolling 7-day average.</p> <!-- /wp:paragraph --> <!-- wp:paragraph --> <p>With the <strong><em>Change country</em></strong> option in the bottom left corner you can switch to another country.</p> <!-- /wp:paragraph --> <!-- wp:owid/help --> <!-- wp:heading {"level":4} --> <h4>To keep in mind when trying to understand these trends</h4> <!-- /wp:heading --> <!-- wp:paragraph {"placeholder":"Enter help content..."} --> <p>Google provide <a href="https://support.google.com/covid19-mobility/answer/9825414?hl=en&ref_topic=9822927">clear guidance</a> on how to read this data, and what <a href="https://support.google.com/covid19-mobility/answer/9824897?hl=en&ref_topic=9822927">should and shouldn't</a> be inferred from it. Some key points:</p> <!-- /wp:paragraph --> <!-- wp:list --> <ul><li>The <em>Residential</em> category is measured in different units (duration rather than visitors) so you shouldn’t compare this change with other categories.</li><li>People already spend a lot of time at home, so changes in <em>Residential</em> are likely to be smaller.</li><li>Visits to <em>Parks and outdoor spaces</em> are highly influenced by weather and holidays – we would expect larger spikes in this category.</li><li>Gaps in a specific time series occur when the quantity of data is too low to meet data quality and anonymity standards – don't interpret this as zero change in visitors.</li><li>Avoid comparing day-to-day changes. Especially weekends with weekdays.</li><li>Avoid comparing <em>levels</em> across countries or regions. Regions can have local differences in the data which might mislead.</li></ul> <!-- /wp:list --> <!-- /wp:owid/help --></div> <!-- /wp:column --></div> <!-- /wp:columns --> <!-- wp:heading {"level":3} --> <h3>Retail and recreation</h3> <!-- /wp:heading --> <!-- wp:columns {"className":"is-style-sticky-left"} --> <div class="wp-block-columns is-style-sticky-left"><!-- wp:column --> <div class="wp-block-column"><!-- wp:html --> <iframe src="https://ourworldindata.org/grapher/change-visitors-retail-recreation" style="width: 100%; height: 600px; border: 0px none;"></iframe> <!-- /wp:html --></div> <!-- /wp:column --> <!-- wp:column --> <div class="wp-block-column"><!-- wp:paragraph --> <p>This interactive chart shows how the number of visitors to places of retail and recreation has changed compared to baseline days (the median value for the 5‑week period from January 3 to February 6, 2020).</p> <!-- /wp:paragraph --> <!-- wp:paragraph --> <p>This includes places like restaurants, cafes, shopping centers, theme parks, museums, libraries, and movie theaters.</p> <!-- /wp:paragraph --> <!-- wp:paragraph --> <p>This index is smoothed to the rolling 7-day average.</p> <!-- /wp:paragraph --> <!-- wp:owid/help --> <!-- wp:heading {"level":4} --> <h4>Three tips on how to interact with this map</h4> <!-- /wp:heading --> <!-- wp:list --> <ul><li>By clicking on any country on the map you see the change over time in this country.</li><li>By moving the time slider (below the map) you can see how the global situation has changed over time.</li><li>You can focus on a particular world region using the dropdown menu to the top-right of the map.</li></ul> <!-- /wp:list --> <!-- /wp:owid/help --></div> <!-- /wp:column --></div> <!-- /wp:columns --> <!-- wp:heading {"level":3} --> <h3>Grocery and pharmacy stores</h3> <!-- /wp:heading --> <!-- wp:columns {"className":"is-style-sticky-left"} --> <div class="wp-block-columns is-style-sticky-left"><!-- wp:column --> <div class="wp-block-column"><!-- wp:html --> <iframe src="https://ourworldindata.org/grapher/change-visitors-grocery-stores" style="width: 100%; height: 600px; border: 0px none;"></iframe> <!-- /wp:html --></div> <!-- /wp:column --> <!-- wp:column --> <div class="wp-block-column"><!-- wp:paragraph --> <p>This interactive chart shows how the number of visitors to grocery and pharmacy stores has changed compared to baseline days (the median value for the 5‑week period from January 3 to February 6, 2020).</p> <!-- /wp:paragraph --> <!-- wp:paragraph --> <p>This includes places like grocery markets, food warehouses, farmers markets, specialty food shops, drug stores, and pharmacies.</p> <!-- /wp:paragraph --> <!-- wp:paragraph --> <p>This index is smoothed to the rolling 7-day average.</p> <!-- /wp:paragraph --></div> <!-- /wp:column --></div> <!-- /wp:columns --> <!-- wp:heading {"level":3} --> <h3>Public transport stations</h3> <!-- /wp:heading --> <!-- wp:columns {"className":"is-style-sticky-left"} --> <div class="wp-block-columns is-style-sticky-left"><!-- wp:column --> <div class="wp-block-column"><!-- wp:html --> <iframe src="https://ourworldindata.org/grapher/visitors-transit-covid" style="width: 100%; height: 600px; border: 0px none;"></iframe> <!-- /wp:html --> <!-- wp:paragraph --> <p></p> <!-- /wp:paragraph --></div> <!-- /wp:column --> <!-- wp:column --> <div class="wp-block-column"><!-- wp:paragraph --> <p>This interactive chart shows how the number of visitors to transit stations has changed compared to baseline days (the median value for the 5‑week period from January 3 to February 6, 2020).</p> <!-- /wp:paragraph --> <!-- wp:paragraph --> <p>This includes public transport hubs such as subway, bus, and train stations.</p> <!-- /wp:paragraph --> <!-- wp:paragraph --> <p>This index is smoothed to the rolling 7-day average.</p> <!-- /wp:paragraph --></div> <!-- /wp:column --></div> <!-- /wp:columns --> <!-- wp:heading {"level":3} --> <h3>Parks and outdoor spaces</h3> <!-- /wp:heading --> <!-- wp:columns {"className":"is-style-sticky-left"} --> <div class="wp-block-columns is-style-sticky-left"><!-- wp:column --> <div class="wp-block-column"><!-- wp:html --> <iframe src="https://ourworldindata.org/grapher/change-visitors-parks-covid" style="width: 100%; height: 600px; border: 0px none;"></iframe> <!-- /wp:html --></div> <!-- /wp:column --> <!-- wp:column --> <div class="wp-block-column"><!-- wp:paragraph --> <p>This interactive chart shows how the number of visitors to parks and outdoor spaces has changed compared to baseline days (the median value for the 5‑week period from January 3 to February 6, 2020).</p> <!-- /wp:paragraph --> <!-- wp:paragraph --> <p>This includes places like local parks, national parks, public beaches, marinas, dog parks, plazas, and public gardens.</p> <!-- /wp:paragraph --> <!-- wp:paragraph --> <p>This index is smoothed to the rolling 7-day average.</p> <!-- /wp:paragraph --> <!-- wp:owid/help --> <!-- wp:heading {"level":4} --> <h4>To keep in mind when interpreting this data:</h4> <!-- /wp:heading --> <!-- wp:paragraph {"placeholder":"Enter help content..."} --> <p>As Google notes in its <a href="https://support.google.com/covid19-mobility/answer/9825414?hl=en&ref_topic=9822927">guidance</a> on understanding this dataset:</p> <!-- /wp:paragraph --> <!-- wp:list --> <ul><li>In many regions, the data for <em>Parks and outdoor spaces</em> is spiky – this represents large day-to-day changes. This is because visitors to parks are heavily influenced by the weather and holidays.</li><li>Since park visits are normally highly variable, you should expect more dramatic changes.</li></ul> <!-- /wp:list --> <!-- /wp:owid/help --></div> <!-- /wp:column --></div> <!-- /wp:columns --> <!-- wp:heading {"level":3} --> <h3>Workplace visitors</h3> <!-- /wp:heading --> <!-- wp:columns {"className":"is-style-sticky-left"} --> <div class="wp-block-columns is-style-sticky-left"><!-- wp:column --> <div class="wp-block-column"><!-- wp:html --> <iframe src="https://ourworldindata.org/grapher/workplace-visitors-covid" style="width: 100%; height: 600px; border: 0px none;"></iframe> <!-- /wp:html --></div> <!-- /wp:column --> <!-- wp:column --> <div class="wp-block-column"><!-- wp:paragraph --> <p>This interactive chart shows how the number of visitors to workplaces has changed compared to baseline days (the median value for the 5‑week period from January 3 to February 6, 2020).</p> <!-- /wp:paragraph --> <!-- wp:paragraph --> <p>This index is smoothed to the rolling 7-day average.</p> <!-- /wp:paragraph --></div> <!-- /wp:column --></div> <!-- /wp:columns --> <!-- wp:heading {"level":3} --> <h3>Time spent at home</h3> <!-- /wp:heading --> <!-- wp:columns {"className":"is-style-sticky-left"} --> <div class="wp-block-columns is-style-sticky-left"><!-- wp:column --> <div class="wp-block-column"><!-- wp:html --> <iframe src="https://ourworldindata.org/grapher/changes-residential-duration-covid" style="width: 100%; height: 600px; border: 0px none;"></iframe> <!-- /wp:html --></div> <!-- /wp:column --> <!-- wp:column --> <div class="wp-block-column"><!-- wp:paragraph --> <p>This interactive chart shows how the number of visitors to residential areas has changed compared to baseline days (the median value for the 5‑week period from January 3 to February 6, 2020).</p> <!-- /wp:paragraph --> <!-- wp:paragraph --> <p>This index is smoothed to the rolling 7-day average.</p> <!-- /wp:paragraph --> <!-- wp:owid/help --> <!-- wp:heading {"level":4} --> <h4>To keep in mind when interpreting this data:</h4> <!-- /wp:heading --> <!-- wp:paragraph {"placeholder":"Enter help content..."} --> <p>As Google notes in its <a href="https://support.google.com/covid19-mobility/answer/9825414?hl=en&ref_topic=9822927">guidance</a> on understanding this dataset:</p> <!-- /wp:paragraph --> <!-- wp:list --> <ul><li>The <em>Residential</em> category shows a change in duration—the other categories measure a change in total visitors. You should therefore be careful in making comparisons to other categories.</li><li>People already spend a lot of time at home (even on workdays), we'd generally expect smaller changes than in other categories.</li></ul> <!-- /wp:list --> <!-- /wp:owid/help --></div> <!-- /wp:column --></div> <!-- /wp:columns --> <!-- wp:paragraph --> <p></p> <!-- /wp:paragraph --> <!-- wp:heading {"level":3} --> <h3>Explore other policy responses to COVID-19</h3> <!-- /wp:heading --> <!-- wp-block-tombstone 39480 --> <!-- wp:owid/grid --> <!-- wp:owid/card {"title":"","linkUrl":"https://ourworldindata.org/covid-government-stringency-index","mediaId":39441,"mediaUrl":"https://owid.cloud/app/uploads/2021/01/government-stringency-index-featured.png","mediaAlt":"COVID-19 policy government stringency index"} /--> <!-- wp:owid/card {"title":"","linkUrl":"https://ourworldindata.org/covid-school-workplace-closures","mediaId":39445,"mediaUrl":"https://owid.cloud/app/uploads/2021/01/school-workplace-closure-featured.png","mediaAlt":"COVID-19 policy school and workplace closures"} /--> <!-- wp:owid/card {"title":"","linkUrl":"https://ourworldindata.org/covid-cancel-public-events","mediaId":39438,"mediaUrl":"https://owid.cloud/app/uploads/2021/01/cancel-public-events-featured.png","mediaAlt":"COVID-19 policy cancellation of public events and gatherings"} /--> <!-- wp:owid/card {"title":"","linkUrl":"https://ourworldindata.org/covid-stay-home-restrictions","mediaId":39477,"mediaUrl":"https://owid.cloud/app/uploads/2021/01/stay-home-restrictions-featured.png","mediaAlt":"COVID-19 policy stay at home restrictions"} /--> <!-- wp:owid/card {"title":"","linkUrl":"https://ourworldindata.org/covid-face-coverings","mediaId":39439,"mediaUrl":"https://owid.cloud/app/uploads/2021/01/face-coverings-featured.png","mediaAlt":"COVID-19 policy face coverings"} /--> <!-- wp:owid/card {"title":"","linkUrl":"https://ourworldindata.org/covid-public-information-campaigns","mediaId":39444,"mediaUrl":"https://owid.cloud/app/uploads/2021/01/public-info-campaigns-featured.png","mediaAlt":"COVID-19 policy public information campaigns"} /--> <!-- wp:owid/card {"title":"","linkUrl":"https://ourworldindata.org/covid-international-domestic-travel","mediaId":39443,"mediaUrl":"https://owid.cloud/app/uploads/2021/01/international-domestic-travel-featured.png","mediaAlt":"COVID-19 policy international and domestic travel"} --> <!-- wp:paragraph --> <p></p> <!-- /wp:paragraph --> <!-- /wp:owid/card --> <!-- wp:owid/card {"title":"","linkUrl":"https://ourworldindata.org/covid-testing-contact-tracing","mediaId":39447,"mediaUrl":"https://owid.cloud/app/uploads/2021/01/testing-contact-tracing-featured.png","mediaAlt":"COVID-19 policy testing and contact tracing"} /--> <!-- wp:owid/card {"title":"","linkUrl":"https://ourworldindata.org/covid-vaccination-policy","mediaId":39448,"mediaUrl":"https://owid.cloud/app/uploads/2021/01/vaccination-policy-featured.png","mediaAlt":"COVID-19 policy vaccinations"} /--> <!-- wp:owid/card {"title":"","linkUrl":"https://ourworldindata.org/covid-income-support-debt-relief","mediaId":39442,"mediaUrl":"https://owid.cloud/app/uploads/2021/01/income-debt-support-featured.png","mediaAlt":"COVID-19 policy income support and debt relief"} /--> <!-- wp:owid/card {"title":"","linkUrl":"https://ourworldindata.org/covid-google-mobility-trends","mediaId":39440,"mediaUrl":"https://owid.cloud/app/uploads/2021/01/google-mobility-trends-featured.png","mediaAlt":"COVID-19 policy Google mobility trends"} --> <!-- wp:paragraph --> <p></p> <!-- /wp:paragraph --> <!-- /wp:owid/card --> <!-- wp:paragraph --> <p></p> <!-- /wp:paragraph --> <!-- /wp:owid/grid --> | { "id": "wp-39274", "slug": "covid-google-mobility-trends", "content": { "toc": [], "body": [ { "type": "text", "value": [ { "url": "https://ourworldindata.org/team", "children": [ { "children": [ { "text": "Research and data:", "spanType": "span-simple-text" } ], "spanType": "span-bold" }, { "text": " Edouard Mathieu, Hannah Ritchie, Lucas Rod\u00e9s-Guirao, Cameron Appel, Daniel Gavrilov, Charlie Giattino, Joe Hasell, Bobbie Macdonald, Saloni Dattani, Diana Beltekian, Esteban Ortiz-Ospina, and Max Roser", "spanType": "span-simple-text" } ], "spanType": "span-link" } ], "parseErrors": [] }, { "type": "text", "value": [ { "text": "\u26a0\ufe0f ", "spanType": "span-simple-text" }, { "children": [ { "text": "The data presented on this page is no longer updated since 15 October 2022. 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", "spanType": "span-simple-text" } ], "parseErrors": [] }, { "text": [ { "text": "Change in visitors by category", "spanType": "span-simple-text" } ], "type": "heading", "level": 2, "parseErrors": [] }, { "left": [ { "url": "https://ourworldindata.org/grapher/changes-visitors-covid", "type": "chart", "parseErrors": [] } ], "type": "sticky-right", "right": [ { "type": "text", "value": [ { "text": "This interactive chart shows how the number of visitors (or time spent) in categorized places has changed compared to baseline days (the median value for the 5\u2011week period from January 3 to February 6, 2020).", "spanType": "span-simple-text" } ], "parseErrors": [] }, { "type": "text", "value": [ { "text": "The \u2018Residential\u2019 category shows a change in duration of time spent at home\u2014the other categories measure a change in total visitors.", "spanType": "span-simple-text" } ], "parseErrors": [] }, { "type": "text", "value": [ { "text": "This index is smoothed to the rolling 7-day average.", "spanType": "span-simple-text" } ], "parseErrors": [] }, { "type": "text", "value": [ { "text": "With the ", "spanType": "span-simple-text" }, { "children": [ { "children": [ { "text": "Change country", "spanType": "span-simple-text" } ], "spanType": "span-italic" } ], "spanType": "span-bold" }, { "text": " option in the bottom left corner you can switch to another country.", "spanType": "span-simple-text" } ], "parseErrors": [] }, { "text": [ { "text": "To keep in mind when trying to understand these trends", "spanType": "span-simple-text" } ], "type": "heading", "level": 4, "parseErrors": [] }, { "type": "text", "value": [ { "text": "Google provide ", "spanType": "span-simple-text" }, { "url": "https://support.google.com/covid19-mobility/answer/9825414?hl=en&ref_topic=9822927", "children": [ { "text": "clear guidance", "spanType": "span-simple-text" } ], "spanType": "span-link" }, { "text": " on how to read this data, and what ", "spanType": "span-simple-text" }, { "url": "https://support.google.com/covid19-mobility/answer/9824897?hl=en&ref_topic=9822927", "children": [ { "text": "should and shouldn't", "spanType": "span-simple-text" } ], "spanType": "span-link" }, { "text": " be inferred from it. 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Especially weekends with weekdays.", "spanType": "span-simple-text" } ], "parseErrors": [] }, { "type": "text", "value": [ { "text": "Avoid comparing ", "spanType": "span-simple-text" }, { "children": [ { "text": "levels", "spanType": "span-simple-text" } ], "spanType": "span-italic" }, { "text": " across countries or regions. 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}, { "type": "text", "value": [ { "text": "This index is smoothed to the rolling 7-day average.", "spanType": "span-simple-text" } ], "parseErrors": [] }, { "text": [ { "text": "Three tips on how to interact with this map", "spanType": "span-simple-text" } ], "type": "heading", "level": 4, "parseErrors": [] }, { "type": "list", "items": [ { "type": "text", "value": [ { "text": "By clicking on any country on the map you see the change over time in this country.", "spanType": "span-simple-text" } ], "parseErrors": [] }, { "type": "text", "value": [ { "text": "By moving the time slider (below the map) you can see how the global situation has changed over time.", "spanType": "span-simple-text" } ], "parseErrors": [] }, { "type": "text", "value": [ { "text": "You can focus on a particular world region using the dropdown menu to the top-right of the map.", "spanType": "span-simple-text" } ], "parseErrors": [] } ], "parseErrors": [] } ], "parseErrors": [] }, { "text": [ { "text": "Grocery and pharmacy stores", "spanType": "span-simple-text" } ], "type": "heading", "level": 2, "parseErrors": [] }, { "left": [ { "url": "https://ourworldindata.org/grapher/change-visitors-grocery-stores", "type": "chart", "parseErrors": [] } ], "type": "sticky-right", "right": [ { "type": "text", "value": [ { "text": "This interactive chart shows how the number of visitors to grocery and pharmacy stores has changed compared to baseline days (the median value for the 5\u2011week period from January 3 to February 6, 2020).", "spanType": "span-simple-text" } ], "parseErrors": [] }, { "type": "text", "value": [ { "text": "This includes places like grocery markets, food warehouses, farmers markets, specialty food shops, drug stores, and pharmacies.", "spanType": "span-simple-text" } ], "parseErrors": [] }, { "type": "text", "value": [ { "text": "This index is smoothed to the rolling 7-day average.", "spanType": "span-simple-text" } ], "parseErrors": [] } ], "parseErrors": [] }, { "text": [ { "text": 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} ], "type": "heading", "level": 2, "parseErrors": [] }, { "left": [ { "url": "https://ourworldindata.org/grapher/change-visitors-parks-covid", "type": "chart", "parseErrors": [] } ], "type": "sticky-right", "right": [ { "type": "text", "value": [ { "text": "This interactive chart shows how the number of visitors to parks and outdoor spaces has changed compared to baseline days (the median value for the 5\u2011week period from January 3 to February 6, 2020).", "spanType": "span-simple-text" } ], "parseErrors": [] }, { "type": "text", "value": [ { "text": "This includes places like local parks, national parks, public beaches, marinas, dog parks, plazas, and public gardens.", "spanType": "span-simple-text" } ], "parseErrors": [] }, { "type": "text", "value": [ { "text": "This index is smoothed to the rolling 7-day average.", "spanType": "span-simple-text" } ], "parseErrors": [] }, { "text": [ { "text": "To keep in mind when interpreting this data:", "spanType": "span-simple-text" } ], "type": "heading", "level": 4, "parseErrors": [] }, { "type": "text", "value": [ { "text": "As Google notes in its ", "spanType": "span-simple-text" }, { "url": "https://support.google.com/covid19-mobility/answer/9825414?hl=en&ref_topic=9822927", "children": [ { "text": "guidance", "spanType": "span-simple-text" } ], "spanType": "span-link" }, { "text": " on understanding this dataset:", "spanType": "span-simple-text" } ], "parseErrors": [] }, { "type": "list", "items": [ { "type": "text", "value": [ { "text": "In many regions, the data for ", "spanType": "span-simple-text" }, { "children": [ { "text": "Parks and outdoor spaces", "spanType": "span-simple-text" } ], "spanType": "span-italic" }, { "text": " is spiky \u2013 this represents large day-to-day changes. 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You should therefore be careful in making comparisons to other categories.", "spanType": "span-simple-text" } ], "parseErrors": [] }, { "type": "text", "value": [ { "text": "People already spend a lot of time at home (even on workdays), we'd generally expect smaller changes than in other categories.", "spanType": "span-simple-text" } ], "parseErrors": [] } ], "parseErrors": [] } ], "parseErrors": [] }, { "text": [ { "text": "Explore other policy responses to COVID-19", "spanType": "span-simple-text" } ], "type": "heading", "level": 2, "parseErrors": [] } ], "type": "article", "title": "COVID-19: Google Mobility Trends", "authors": [ "Charlie Giattino" ], "dateline": "January 21, 2021", "sidebar-toc": false, "featured-image": "google-mobility.png" }, "createdAt": "2021-01-21T16:38:50.000Z", "published": false, "updatedAt": "2022-10-21T09:24:24.000Z", "revisionId": null, "publishedAt": "2021-01-21T16:38:50.000Z", "relatedCharts": [], "publicationContext": "listed" } |
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2021-01-21 16:38:50 | 2024-02-16 14:22:41 | [ "Charlie Giattino" ] |
2021-01-21 16:38:50 | 2022-10-21 09:24:24 | https://ourworldindata.org/wp-content/uploads/2021/01/google-mobility.png | { "subnavId": "coronavirus", "subnavCurrentId": "policy-responses" } |
[**Research and data:** Edouard Mathieu, Hannah Ritchie, Lucas Rodés-Guirao, Cameron Appel, Daniel Gavrilov, Charlie Giattino, Joe Hasell, Bobbie Macdonald, Saloni Dattani, Diana Beltekian, Esteban Ortiz-Ospina, and Max Roser](https://ourworldindata.org/team) ⚠️ _The data presented on this page is no longer updated since 15 October 2022. [Find out more.](https://www.google.com/covid19/mobility)_ ## How has the pandemic changed the movement of people around the world? To tackle the [Coronavirus pandemic](https://owid.cloud/coronavirus), countries across the world have implemented a range of stringent policies, including [stay-at-home 'lockdowns](https://ourworldindata.org/policy-responses-covid#stay-at-home-restrictions)'; [school and workplace closures](https://ourworldindata.org/policy-responses-covid#school-and-workplace-closures); cancellation of [events and public gatherings](https://ourworldindata.org/policy-responses-covid#cancellation-of-public-events-and-gatherings); and restrictions on [public transport](https://ourworldindata.org/policy-responses-covid#public-transport). These measures were implemented to slow the spread of the virus by enforcing physical distance between people. How effective have these policies been in reducing human movement? What impact has it had on how people across the world work; live; and where they visit? We can get some insights on this from the data that Google presents in its [_COVID-19 Community Mobility Reports_](https://www.google.com/covid19/mobility/). Using anonymized data provided by apps such as Google Maps, the company has produced a regularly updated dataset that shows how peoples' movements have changed throughout the pandemic.{ref}Note that Google emphasize: "The Community Mobility Reports were developed to be helpful while adhering to our stringent privacy protocols and protecting people’s privacy. No personally identifiable information, such as an individual’s location, contacts or movement, will be made available at any point. Insights in these reports are created with aggregated, anonymized sets of data from users who have turned on the [Location History](https://support.google.com/accounts/answer/3118687?hl=en) setting, which is off by default."{/ref} This dataset from Google measures visitor numbers to specific categories of location (e.g. grocery stores; parks; train stations) every day and compares this change relative to baseline days before the pandemic outbreak. Baseline days represent a normal value for that day of the week and are given as the median value over the five‑week period from January 3rd to February 6th 2020. Measuring it relative to a normal value _for that day of the week_ is helpful because people obviously often have different routines on weekends versus weekdays. On Google's website the data is only visualized in pdfs – one for each country. We present Google's data in interactive charts below to make it easier to see changes over time in a given country; and how specific policies may have affected (or not) behavior across communities. Google notes that we should avoid comparing across regions or countries; this is because there may be local differences in categories which could be misleading. We should also emphasise that change in visitors is measured relative to the baseline period between January and February 2020. This means changes in movement do not take account of seasonal variation – for example, we might expect visitors to parks or outdoor spaces to be higher during the summer. The data may therefore reflect some changes in seasonal movements, rather than being fully explained by changes due to the pandemic. The amount of day-to-day variability in the raw data can make it difficult to understand how overall movements are changing over time. To make this easier to understand, we have converted the raw data into the **seven-day rolling average**. This is what is shown in the data in the following charts. ## Change in visitors by category <Chart url="https://ourworldindata.org/grapher/changes-visitors-covid"/> This interactive chart shows how the number of visitors (or time spent) in categorized places has changed compared to baseline days (the median value for the 5‑week period from January 3 to February 6, 2020). The ‘Residential’ category shows a change in duration of time spent at home—the other categories measure a change in total visitors. This index is smoothed to the rolling 7-day average. With the **_Change country_** option in the bottom left corner you can switch to another country. #### To keep in mind when trying to understand these trends Google provide [clear guidance](https://support.google.com/covid19-mobility/answer/9825414?hl=en&ref_topic=9822927) on how to read this data, and what [should and shouldn't](https://support.google.com/covid19-mobility/answer/9824897?hl=en&ref_topic=9822927) be inferred from it. Some key points: * The _Residential_ category is measured in different units (duration rather than visitors) so you shouldn’t compare this change with other categories. * People already spend a lot of time at home, so changes in _Residential_ are likely to be smaller. * Visits to _Parks and outdoor spaces_ are highly influenced by weather and holidays – we would expect larger spikes in this category. * Gaps in a specific time series occur when the quantity of data is too low to meet data quality and anonymity standards – don't interpret this as zero change in visitors. * Avoid comparing day-to-day changes. Especially weekends with weekdays. * Avoid comparing _levels_ across countries or regions. Regions can have local differences in the data which might mislead. ## Retail and recreation <Chart url="https://ourworldindata.org/grapher/change-visitors-retail-recreation"/> This interactive chart shows how the number of visitors to places of retail and recreation has changed compared to baseline days (the median value for the 5‑week period from January 3 to February 6, 2020). This includes places like restaurants, cafes, shopping centers, theme parks, museums, libraries, and movie theaters. This index is smoothed to the rolling 7-day average. #### Three tips on how to interact with this map * By clicking on any country on the map you see the change over time in this country. * By moving the time slider (below the map) you can see how the global situation has changed over time. * You can focus on a particular world region using the dropdown menu to the top-right of the map. ## Grocery and pharmacy stores <Chart url="https://ourworldindata.org/grapher/change-visitors-grocery-stores"/> This interactive chart shows how the number of visitors to grocery and pharmacy stores has changed compared to baseline days (the median value for the 5‑week period from January 3 to February 6, 2020). This includes places like grocery markets, food warehouses, farmers markets, specialty food shops, drug stores, and pharmacies. This index is smoothed to the rolling 7-day average. ## Public transport stations <Chart url="https://ourworldindata.org/grapher/visitors-transit-covid"/> This interactive chart shows how the number of visitors to transit stations has changed compared to baseline days (the median value for the 5‑week period from January 3 to February 6, 2020). This includes public transport hubs such as subway, bus, and train stations. This index is smoothed to the rolling 7-day average. ## Parks and outdoor spaces <Chart url="https://ourworldindata.org/grapher/change-visitors-parks-covid"/> This interactive chart shows how the number of visitors to parks and outdoor spaces has changed compared to baseline days (the median value for the 5‑week period from January 3 to February 6, 2020). This includes places like local parks, national parks, public beaches, marinas, dog parks, plazas, and public gardens. This index is smoothed to the rolling 7-day average. #### To keep in mind when interpreting this data: As Google notes in its [guidance](https://support.google.com/covid19-mobility/answer/9825414?hl=en&ref_topic=9822927) on understanding this dataset: * In many regions, the data for _Parks and outdoor spaces_ is spiky – this represents large day-to-day changes. This is because visitors to parks are heavily influenced by the weather and holidays. * Since park visits are normally highly variable, you should expect more dramatic changes. ## Workplace visitors <Chart url="https://ourworldindata.org/grapher/workplace-visitors-covid"/> This interactive chart shows how the number of visitors to workplaces has changed compared to baseline days (the median value for the 5‑week period from January 3 to February 6, 2020). This index is smoothed to the rolling 7-day average. ## Time spent at home <Chart url="https://ourworldindata.org/grapher/changes-residential-duration-covid"/> This interactive chart shows how the number of visitors to residential areas has changed compared to baseline days (the median value for the 5‑week period from January 3 to February 6, 2020). This index is smoothed to the rolling 7-day average. #### To keep in mind when interpreting this data: As Google notes in its [guidance](https://support.google.com/covid19-mobility/answer/9825414?hl=en&ref_topic=9822927) on understanding this dataset: * The _Residential_ category shows a change in duration—the other categories measure a change in total visitors. You should therefore be careful in making comparisons to other categories. * People already spend a lot of time at home (even on workdays), we'd generally expect smaller changes than in other categories. ## Explore other policy responses to COVID-19 | { "id": 39274, "date": "2021-01-21T16:38:50", "guid": { "rendered": "https://owid.cloud/?page_id=39274" }, "link": "https://owid.cloud/covid-google-mobility-trends", "meta": { "owid_publication_context_meta_field": [], "owid_key_performance_indicators_meta_field": [] }, "slug": "covid-google-mobility-trends", "tags": [], "type": "page", "title": { "rendered": "COVID-19: Google Mobility Trends" }, "_links": { "self": [ { "href": "https://owid.cloud/wp-json/wp/v2/pages/39274" } ], "about": [ { "href": "https://owid.cloud/wp-json/wp/v2/types/page" } ], "author": [ { "href": "https://owid.cloud/wp-json/wp/v2/users/44", "embeddable": true } ], "curies": [ { "href": "https://api.w.org/{rel}", "name": "wp", "templated": true } ], "replies": [ { "href": "https://owid.cloud/wp-json/wp/v2/comments?post=39274", "embeddable": true } ], "wp:term": [ { "href": "https://owid.cloud/wp-json/wp/v2/categories?post=39274", "taxonomy": "category", "embeddable": true }, { "href": "https://owid.cloud/wp-json/wp/v2/tags?post=39274", "taxonomy": "post_tag", "embeddable": true } ], "collection": [ { "href": "https://owid.cloud/wp-json/wp/v2/pages" } ], "wp:attachment": [ { "href": "https://owid.cloud/wp-json/wp/v2/media?parent=39274" } ], "version-history": [ { "href": "https://owid.cloud/wp-json/wp/v2/pages/39274/revisions", "count": 11 } ], "wp:featuredmedia": [ { "href": "https://owid.cloud/wp-json/wp/v2/media/39546", "embeddable": true } ], "predecessor-version": [ { "id": 54037, "href": "https://owid.cloud/wp-json/wp/v2/pages/39274/revisions/54037" } ] }, "author": 44, "parent": 0, "status": "publish", "content": { "rendered": "\t<div class=\"wp-block-owid-byline\">\n\t\t\n\n<p><a href=\"https://ourworldindata.org/team\"><strong>Research and data:</strong> Edouard Mathieu, Hannah Ritchie, Lucas Rod\u00e9s-Guirao, Cameron Appel, Daniel Gavrilov, Charlie Giattino, Joe Hasell, Bobbie Macdonald, Saloni Dattani, Diana Beltekian, Esteban Ortiz-Ospina, and Max Roser</a></p>\n\n\n\t</div>\n\n\t<div class=\"wp-block-last-updated\">\n\t\t\n\n<p>\u26a0\ufe0f <em>The data presented on this page is no longer updated since 15 October 2022. <a href=\"https://www.google.com/covid19/mobility\" target=\"_blank\" rel=\"noreferrer noopener\">Find out more.</a></em></p>\n\n\n\t</div>\n\n\n<!-- formatting-options subnavId:coronavirus subnavCurrentId:policy-responses -->\n\n\n\n<h3>How has the pandemic changed the movement of people around the world?</h3>\n\n\n\n<p>To tackle the <a href=\"https://owid.cloud/coronavirus\">Coronavirus pandemic</a>, countries across the world have implemented a range of stringent policies, including <a href=\"https://ourworldindata.org/policy-responses-covid#stay-at-home-restrictions\">stay-at-home ‘lockdowns</a>‘; <a href=\"https://ourworldindata.org/policy-responses-covid#school-and-workplace-closures\">school and workplace closures</a>; cancellation of <a href=\"https://ourworldindata.org/policy-responses-covid#cancellation-of-public-events-and-gatherings\">events and public gatherings</a>; and restrictions on <a href=\"https://ourworldindata.org/policy-responses-covid#public-transport\">public transport</a>.</p>\n\n\n\n<p>These measures were implemented to slow the spread of the virus by enforcing physical distance between people.</p>\n\n\n\n<p>How effective have these policies been in reducing human movement? What impact has it had on how people across the world work; live; and where they visit?</p>\n\n\n\n<p>We can get some insights on this from the data that Google presents in its <a href=\"https://www.google.com/covid19/mobility/\"><em>COVID-19 Community Mobility Reports</em></a>. Using anonymized data provided by apps such as Google Maps, the company has produced a regularly updated dataset that shows how peoples’ movements have changed throughout the pandemic.{ref}Note that Google emphasize: “The Community Mobility Reports were developed to be helpful while adhering to our stringent privacy protocols and protecting people\u2019s privacy. No personally identifiable information, such as an individual\u2019s location, contacts or movement, will be made available at any point.<br><br>Insights in these reports are created with aggregated, anonymized sets of data from users who have turned on the <a href=\"https://support.google.com/accounts/answer/3118687?hl=en\">Location History</a> setting, which is off by default.”{/ref}</p>\n\n\n\n<p>This dataset from Google measures visitor numbers to specific categories of location (e.g. grocery stores; parks; train stations) every day and compares this change relative to baseline days before the pandemic outbreak. Baseline days represent a normal value for that day of the week and are given as the median value over the five\u2011week period from January 3rd to February 6th 2020. Measuring it relative to a normal value <em>for that day of the week</em> is helpful because people obviously often have different routines on weekends versus weekdays.</p>\n\n\n\n<p>On Google’s website the data is only visualized in pdfs \u2013 one for each country. We present Google’s data in interactive charts below to make it easier to see changes over time in a given country; and how specific policies may have affected (or not) behavior across communities. Google notes that we should avoid comparing across regions or countries; this is because there may be local differences in categories which could be misleading.</p>\n\n\n\n<p>We should also emphasise that change in visitors is measured relative to the baseline period between January and February 2020. This means changes in movement do not take account of seasonal variation \u2013 for example, we might expect visitors to parks or outdoor spaces to be higher during the summer. The data may therefore reflect some changes in seasonal movements, rather than being fully explained by changes due to the pandemic.</p>\n\n\n\n<p>The amount of day-to-day variability in the raw data can make it difficult to understand how overall movements are changing over time. To make this easier to understand, we have converted the raw data into the <strong>seven-day rolling average</strong>. This is what is shown in the data in the following charts. </p>\n\n\n\n<h3>Change in visitors by category</h3>\n\n\n\n<div class=\"wp-block-columns is-style-sticky-left\">\n<div class=\"wp-block-column\">\n<iframe src=\"https://ourworldindata.org/grapher/changes-visitors-covid\" style=\"width: 100%; height: 600px; border: 0px none;\"></iframe>\n</div>\n\n\n\n<div class=\"wp-block-column\">\n<p>This interactive chart shows how the number of visitors (or time spent) in categorized places has changed compared to baseline days (the median value for the 5\u2011week period from January 3 to February 6, 2020).</p>\n\n\n\n<p>The \u2018Residential\u2019 category shows a change in duration of time spent at home\u2014the other categories measure a change in total visitors.</p>\n\n\n\n<p>This index is smoothed to the rolling 7-day average.</p>\n\n\n\n<p>With the <strong><em>Change country</em></strong> option in the bottom left corner you can switch to another country.</p>\n\n\n\t<block type=\"help\">\n\t\t<content>\n\n<h4>To keep in mind when trying to understand these trends</h4>\n\n\n\n<p>Google provide <a href=\"https://support.google.com/covid19-mobility/answer/9825414?hl=en&ref_topic=9822927\">clear guidance</a> on how to read this data, and what <a href=\"https://support.google.com/covid19-mobility/answer/9824897?hl=en&ref_topic=9822927\">should and shouldn’t</a> be inferred from it. Some key points:</p>\n\n\n\n<ul><li>The <em>Residential</em> category is measured in different units (duration rather than visitors) so you shouldn\u2019t compare this change with other categories.</li><li>People already spend a lot of time at home, so changes in <em>Residential</em> are likely to be smaller.</li><li>Visits to <em>Parks and outdoor spaces</em> are highly influenced by weather and holidays \u2013 we would expect larger spikes in this category.</li><li>Gaps in a specific time series occur when the quantity of data is too low to meet data quality and anonymity standards \u2013 don’t interpret this as zero change in visitors.</li><li>Avoid comparing day-to-day changes. Especially weekends with weekdays.</li><li>Avoid comparing <em>levels</em> across countries or regions. Regions can have local differences in the data which might mislead.</li></ul>\n\n</content>\n\t</block></div>\n</div>\n\n\n\n<h3>Retail and recreation</h3>\n\n\n\n<div class=\"wp-block-columns is-style-sticky-left\">\n<div class=\"wp-block-column\">\n<iframe src=\"https://ourworldindata.org/grapher/change-visitors-retail-recreation\" style=\"width: 100%; height: 600px; border: 0px none;\"></iframe>\n</div>\n\n\n\n<div class=\"wp-block-column\">\n<p>This interactive chart shows how the number of visitors to places of retail and recreation has changed compared to baseline days (the median value for the 5\u2011week period from January 3 to February 6, 2020).</p>\n\n\n\n<p>This includes places like restaurants, cafes, shopping centers, theme parks, museums, libraries, and movie theaters.</p>\n\n\n\n<p>This index is smoothed to the rolling 7-day average.</p>\n\n\n\t<block type=\"help\">\n\t\t<content>\n\n<h4>Three tips on how to interact with this map</h4>\n\n\n\n<ul><li>By clicking on any country on the map you see the change over time in this country.</li><li>By moving the time slider (below the map) you can see how the global situation has changed over time.</li><li>You can focus on a particular world region using the dropdown menu to the top-right of the map.</li></ul>\n\n</content>\n\t</block></div>\n</div>\n\n\n\n<h3>Grocery and pharmacy stores</h3>\n\n\n\n<div class=\"wp-block-columns is-style-sticky-left\">\n<div class=\"wp-block-column\">\n<iframe src=\"https://ourworldindata.org/grapher/change-visitors-grocery-stores\" style=\"width: 100%; height: 600px; border: 0px none;\"></iframe>\n</div>\n\n\n\n<div class=\"wp-block-column\">\n<p>This interactive chart shows how the number of visitors to grocery and pharmacy stores has changed compared to baseline days (the median value for the 5\u2011week period from January 3 to February 6, 2020).</p>\n\n\n\n<p>This includes places like grocery markets, food warehouses, farmers markets, specialty food shops, drug stores, and pharmacies.</p>\n\n\n\n<p>This index is smoothed to the rolling 7-day average.</p>\n</div>\n</div>\n\n\n\n<h3>Public transport stations</h3>\n\n\n\n<div class=\"wp-block-columns is-style-sticky-left\">\n<div class=\"wp-block-column\">\n<iframe src=\"https://ourworldindata.org/grapher/visitors-transit-covid\" style=\"width: 100%; height: 600px; border: 0px none;\"></iframe>\n\n\n\n<p></p>\n</div>\n\n\n\n<div class=\"wp-block-column\">\n<p>This interactive chart shows how the number of visitors to transit stations has changed compared to baseline days (the median value for the 5\u2011week period from January 3 to February 6, 2020).</p>\n\n\n\n<p>This includes public transport hubs such as subway, bus, and train stations.</p>\n\n\n\n<p>This index is smoothed to the rolling 7-day average.</p>\n</div>\n</div>\n\n\n\n<h3>Parks and outdoor spaces</h3>\n\n\n\n<div class=\"wp-block-columns is-style-sticky-left\">\n<div class=\"wp-block-column\">\n<iframe src=\"https://ourworldindata.org/grapher/change-visitors-parks-covid\" style=\"width: 100%; height: 600px; border: 0px none;\"></iframe>\n</div>\n\n\n\n<div class=\"wp-block-column\">\n<p>This interactive chart shows how the number of visitors to parks and outdoor spaces has changed compared to baseline days (the median value for the 5\u2011week period from January 3 to February 6, 2020).</p>\n\n\n\n<p>This includes places like local parks, national parks, public beaches, marinas, dog parks, plazas, and public gardens.</p>\n\n\n\n<p>This index is smoothed to the rolling 7-day average.</p>\n\n\n\t<block type=\"help\">\n\t\t<content>\n\n<h4>To keep in mind when interpreting this data:</h4>\n\n\n\n<p>As Google notes in its <a href=\"https://support.google.com/covid19-mobility/answer/9825414?hl=en&ref_topic=9822927\">guidance</a> on understanding this dataset:</p>\n\n\n\n<ul><li>In many regions, the data for <em>Parks and outdoor spaces</em> is spiky \u2013 this represents large day-to-day changes. This is because visitors to parks are heavily influenced by the weather and holidays.</li><li>Since park visits are normally highly variable, you should expect more dramatic changes.</li></ul>\n\n</content>\n\t</block></div>\n</div>\n\n\n\n<h3>Workplace visitors</h3>\n\n\n\n<div class=\"wp-block-columns is-style-sticky-left\">\n<div class=\"wp-block-column\">\n<iframe src=\"https://ourworldindata.org/grapher/workplace-visitors-covid\" style=\"width: 100%; height: 600px; border: 0px none;\"></iframe>\n</div>\n\n\n\n<div class=\"wp-block-column\">\n<p>This interactive chart shows how the number of visitors to workplaces has changed compared to baseline days (the median value for the 5\u2011week period from January 3 to February 6, 2020).</p>\n\n\n\n<p>This index is smoothed to the rolling 7-day average.</p>\n</div>\n</div>\n\n\n\n<h3>Time spent at home</h3>\n\n\n\n<div class=\"wp-block-columns is-style-sticky-left\">\n<div class=\"wp-block-column\">\n<iframe src=\"https://ourworldindata.org/grapher/changes-residential-duration-covid\" style=\"width: 100%; height: 600px; border: 0px none;\"></iframe>\n</div>\n\n\n\n<div class=\"wp-block-column\">\n<p>This interactive chart shows how the number of visitors to residential areas has changed compared to baseline days (the median value for the 5\u2011week period from January 3 to February 6, 2020).</p>\n\n\n\n<p>This index is smoothed to the rolling 7-day average.</p>\n\n\n\t<block type=\"help\">\n\t\t<content>\n\n<h4>To keep in mind when interpreting this data:</h4>\n\n\n\n<p>As Google notes in its <a href=\"https://support.google.com/covid19-mobility/answer/9825414?hl=en&ref_topic=9822927\">guidance</a> on understanding this dataset:</p>\n\n\n\n<ul><li>The <em>Residential</em> category shows a change in duration\u2014the other categories measure a change in total visitors. You should therefore be careful in making comparisons to other categories.</li><li>People already spend a lot of time at home (even on workdays), we’d generally expect smaller changes than in other categories.</li></ul>\n\n</content>\n\t</block></div>\n</div>\n\n\n\n<p></p>\n\n\n\n<h3>Explore other policy responses to COVID-19</h3>\n\n\n\t<div class=\"wp-block-owid-grid \">\n\t\t\n <div class=\"wp-block-owid-card with-image\" data-no-lightbox>\n <a href=\"https://ourworldindata.org/covid-government-stringency-index\">\n <figure><img width=\"768\" height=\"403\" src=\"https://owid.cloud/app/uploads/2021/01/government-stringency-index-featured-768x403.png\" class=\"attachment-medium_large size-medium_large\" alt=\"COVID-19 policy government stringency index\" loading=\"lazy\" srcset=\"https://owid.cloud/app/uploads/2021/01/government-stringency-index-featured-768x403.png 768w, https://owid.cloud/app/uploads/2021/01/government-stringency-index-featured-400x210.png 400w, https://owid.cloud/app/uploads/2021/01/government-stringency-index-featured-800x419.png 800w, https://owid.cloud/app/uploads/2021/01/government-stringency-index-featured-150x79.png 150w, https://owid.cloud/app/uploads/2021/01/government-stringency-index-featured.png 1200w\" sizes=\"(max-width: 768px) 100vw, 768px\" /></figure>\n <div class=\"text-wrapper\">\n \n <div class=\"description\">\n \n </div>\n </div>\n </a>\n </div>\n\n <div class=\"wp-block-owid-card with-image\" data-no-lightbox>\n <a href=\"https://ourworldindata.org/covid-school-workplace-closures\">\n <figure><img width=\"768\" height=\"404\" src=\"https://owid.cloud/app/uploads/2021/01/school-workplace-closure-featured-768x404.png\" class=\"attachment-medium_large size-medium_large\" alt=\"COVID-19 policy school and workplace closures\" loading=\"lazy\" srcset=\"https://owid.cloud/app/uploads/2021/01/school-workplace-closure-featured-768x404.png 768w, https://owid.cloud/app/uploads/2021/01/school-workplace-closure-featured-400x210.png 400w, https://owid.cloud/app/uploads/2021/01/school-workplace-closure-featured-800x421.png 800w, https://owid.cloud/app/uploads/2021/01/school-workplace-closure-featured-150x79.png 150w, https://owid.cloud/app/uploads/2021/01/school-workplace-closure-featured.png 1200w\" sizes=\"(max-width: 768px) 100vw, 768px\" /></figure>\n <div class=\"text-wrapper\">\n \n <div class=\"description\">\n \n </div>\n </div>\n </a>\n </div>\n\n <div class=\"wp-block-owid-card with-image\" data-no-lightbox>\n <a href=\"https://ourworldindata.org/covid-cancel-public-events\">\n <figure><img width=\"768\" height=\"404\" src=\"https://owid.cloud/app/uploads/2021/01/cancel-public-events-featured-768x404.png\" class=\"attachment-medium_large size-medium_large\" alt=\"COVID-19 policy cancellation of public events and gatherings\" loading=\"lazy\" srcset=\"https://owid.cloud/app/uploads/2021/01/cancel-public-events-featured-768x404.png 768w, https://owid.cloud/app/uploads/2021/01/cancel-public-events-featured-400x210.png 400w, https://owid.cloud/app/uploads/2021/01/cancel-public-events-featured-800x421.png 800w, https://owid.cloud/app/uploads/2021/01/cancel-public-events-featured-150x79.png 150w, https://owid.cloud/app/uploads/2021/01/cancel-public-events-featured.png 1200w\" sizes=\"(max-width: 768px) 100vw, 768px\" /></figure>\n <div class=\"text-wrapper\">\n \n <div class=\"description\">\n \n </div>\n </div>\n </a>\n </div>\n\n <div class=\"wp-block-owid-card with-image\" data-no-lightbox>\n <a href=\"https://ourworldindata.org/covid-stay-home-restrictions\">\n <figure><img width=\"768\" height=\"403\" src=\"https://owid.cloud/app/uploads/2021/01/stay-home-restrictions-featured-768x403.png\" class=\"attachment-medium_large size-medium_large\" alt=\"COVID-19 policy stay at home restrictions\" loading=\"lazy\" srcset=\"https://owid.cloud/app/uploads/2021/01/stay-home-restrictions-featured-768x403.png 768w, https://owid.cloud/app/uploads/2021/01/stay-home-restrictions-featured-400x210.png 400w, https://owid.cloud/app/uploads/2021/01/stay-home-restrictions-featured-800x420.png 800w, https://owid.cloud/app/uploads/2021/01/stay-home-restrictions-featured-150x79.png 150w, https://owid.cloud/app/uploads/2021/01/stay-home-restrictions-featured.png 1200w\" sizes=\"(max-width: 768px) 100vw, 768px\" /></figure>\n <div class=\"text-wrapper\">\n \n <div class=\"description\">\n \n </div>\n </div>\n </a>\n </div>\n\n <div class=\"wp-block-owid-card with-image\" data-no-lightbox>\n <a href=\"https://ourworldindata.org/covid-face-coverings\">\n <figure><img width=\"768\" height=\"406\" src=\"https://owid.cloud/app/uploads/2021/01/face-coverings-featured-768x406.png\" class=\"attachment-medium_large size-medium_large\" alt=\"COVID-19 policy face coverings\" loading=\"lazy\" srcset=\"https://owid.cloud/app/uploads/2021/01/face-coverings-featured-768x406.png 768w, https://owid.cloud/app/uploads/2021/01/face-coverings-featured-400x211.png 400w, https://owid.cloud/app/uploads/2021/01/face-coverings-featured-800x423.png 800w, https://owid.cloud/app/uploads/2021/01/face-coverings-featured-150x79.png 150w, https://owid.cloud/app/uploads/2021/01/face-coverings-featured.png 1200w\" sizes=\"(max-width: 768px) 100vw, 768px\" /></figure>\n <div class=\"text-wrapper\">\n \n <div class=\"description\">\n \n </div>\n </div>\n </a>\n </div>\n\n <div class=\"wp-block-owid-card with-image\" data-no-lightbox>\n <a href=\"https://ourworldindata.org/covid-public-information-campaigns\">\n <figure><img width=\"768\" height=\"406\" src=\"https://owid.cloud/app/uploads/2021/01/public-info-campaigns-featured-768x406.png\" class=\"attachment-medium_large size-medium_large\" alt=\"COVID-19 policy public information campaigns\" loading=\"lazy\" srcset=\"https://owid.cloud/app/uploads/2021/01/public-info-campaigns-featured-768x406.png 768w, https://owid.cloud/app/uploads/2021/01/public-info-campaigns-featured-400x211.png 400w, https://owid.cloud/app/uploads/2021/01/public-info-campaigns-featured-800x423.png 800w, https://owid.cloud/app/uploads/2021/01/public-info-campaigns-featured-150x79.png 150w, https://owid.cloud/app/uploads/2021/01/public-info-campaigns-featured.png 1200w\" sizes=\"(max-width: 768px) 100vw, 768px\" /></figure>\n <div class=\"text-wrapper\">\n \n <div class=\"description\">\n \n </div>\n </div>\n </a>\n </div>\n\n <div class=\"wp-block-owid-card with-image\" data-no-lightbox>\n <a href=\"https://ourworldindata.org/covid-international-domestic-travel\">\n <figure><img width=\"768\" height=\"406\" src=\"https://owid.cloud/app/uploads/2021/01/international-domestic-travel-featured-768x406.png\" class=\"attachment-medium_large size-medium_large\" alt=\"COVID-19 policy international and domestic travel\" loading=\"lazy\" srcset=\"https://owid.cloud/app/uploads/2021/01/international-domestic-travel-featured-768x406.png 768w, https://owid.cloud/app/uploads/2021/01/international-domestic-travel-featured-400x211.png 400w, https://owid.cloud/app/uploads/2021/01/international-domestic-travel-featured-800x423.png 800w, https://owid.cloud/app/uploads/2021/01/international-domestic-travel-featured-150x79.png 150w, https://owid.cloud/app/uploads/2021/01/international-domestic-travel-featured.png 1200w\" sizes=\"(max-width: 768px) 100vw, 768px\" /></figure>\n <div class=\"text-wrapper\">\n \n <div class=\"description\">\n \n\n<p></p>\n\n\n </div>\n </div>\n </a>\n </div>\n\n <div class=\"wp-block-owid-card with-image\" data-no-lightbox>\n <a href=\"https://ourworldindata.org/covid-testing-contact-tracing\">\n <figure><img width=\"768\" height=\"406\" src=\"https://owid.cloud/app/uploads/2021/01/testing-contact-tracing-featured-768x406.png\" class=\"attachment-medium_large size-medium_large\" alt=\"COVID-19 policy testing and contact tracing\" loading=\"lazy\" srcset=\"https://owid.cloud/app/uploads/2021/01/testing-contact-tracing-featured-768x406.png 768w, https://owid.cloud/app/uploads/2021/01/testing-contact-tracing-featured-400x211.png 400w, https://owid.cloud/app/uploads/2021/01/testing-contact-tracing-featured-800x423.png 800w, https://owid.cloud/app/uploads/2021/01/testing-contact-tracing-featured-150x79.png 150w, https://owid.cloud/app/uploads/2021/01/testing-contact-tracing-featured.png 1200w\" sizes=\"(max-width: 768px) 100vw, 768px\" /></figure>\n <div class=\"text-wrapper\">\n \n <div class=\"description\">\n \n </div>\n </div>\n </a>\n </div>\n\n <div class=\"wp-block-owid-card with-image\" data-no-lightbox>\n <a href=\"https://ourworldindata.org/covid-vaccination-policy\">\n <figure><img width=\"768\" height=\"406\" src=\"https://owid.cloud/app/uploads/2021/01/vaccination-policy-featured-768x406.png\" class=\"attachment-medium_large size-medium_large\" alt=\"COVID-19 policy vaccinations\" loading=\"lazy\" srcset=\"https://owid.cloud/app/uploads/2021/01/vaccination-policy-featured-768x406.png 768w, https://owid.cloud/app/uploads/2021/01/vaccination-policy-featured-400x211.png 400w, https://owid.cloud/app/uploads/2021/01/vaccination-policy-featured-800x423.png 800w, https://owid.cloud/app/uploads/2021/01/vaccination-policy-featured-150x79.png 150w, https://owid.cloud/app/uploads/2021/01/vaccination-policy-featured.png 1200w\" sizes=\"(max-width: 768px) 100vw, 768px\" /></figure>\n <div class=\"text-wrapper\">\n \n <div class=\"description\">\n \n </div>\n </div>\n </a>\n </div>\n\n <div class=\"wp-block-owid-card with-image\" data-no-lightbox>\n <a href=\"https://ourworldindata.org/covid-income-support-debt-relief\">\n <figure><img width=\"768\" height=\"406\" src=\"https://owid.cloud/app/uploads/2021/01/income-debt-support-featured-768x406.png\" class=\"attachment-medium_large size-medium_large\" alt=\"COVID-19 policy income support and debt relief\" loading=\"lazy\" srcset=\"https://owid.cloud/app/uploads/2021/01/income-debt-support-featured-768x406.png 768w, https://owid.cloud/app/uploads/2021/01/income-debt-support-featured-400x211.png 400w, https://owid.cloud/app/uploads/2021/01/income-debt-support-featured-800x423.png 800w, https://owid.cloud/app/uploads/2021/01/income-debt-support-featured-150x79.png 150w, https://owid.cloud/app/uploads/2021/01/income-debt-support-featured.png 1200w\" sizes=\"(max-width: 768px) 100vw, 768px\" /></figure>\n <div class=\"text-wrapper\">\n \n <div class=\"description\">\n \n </div>\n </div>\n </a>\n </div>\n\n <div class=\"wp-block-owid-card with-image\" data-no-lightbox>\n <a href=\"https://ourworldindata.org/covid-google-mobility-trends\">\n <figure><img width=\"768\" height=\"406\" src=\"https://owid.cloud/app/uploads/2021/01/google-mobility-trends-featured-768x406.png\" class=\"attachment-medium_large size-medium_large\" alt=\"COVID-19 policy Google mobility trends\" loading=\"lazy\" srcset=\"https://owid.cloud/app/uploads/2021/01/google-mobility-trends-featured-768x406.png 768w, https://owid.cloud/app/uploads/2021/01/google-mobility-trends-featured-400x211.png 400w, https://owid.cloud/app/uploads/2021/01/google-mobility-trends-featured-800x423.png 800w, https://owid.cloud/app/uploads/2021/01/google-mobility-trends-featured-150x79.png 150w, https://owid.cloud/app/uploads/2021/01/google-mobility-trends-featured.png 1200w\" sizes=\"(max-width: 768px) 100vw, 768px\" /></figure>\n <div class=\"text-wrapper\">\n \n <div class=\"description\">\n \n\n<p></p>\n\n\n </div>\n </div>\n </a>\n </div>\n\n\n<p></p>\n\n\n\t</div>", "protected": false }, "excerpt": { "rendered": "", "protected": false }, "date_gmt": "2021-01-21T16:38:50", "modified": "2022-10-21T10:24:24", "template": "", "categories": [], "menu_order": 98, "ping_status": "closed", "authors_name": [ "Charlie Giattino" ], "modified_gmt": "2022-10-21T09:24:24", "comment_status": "closed", 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