Dark Mode
COVID-19 Residential Mobility Data
Patient Health Records & Digital Health
Tags and Keywords
Trusted By
"No reviews yet"
Free
About
Capturing the percentage increase in people staying at their residences since the beginning of the COVID-19 pandemic, this data illustrates the shift towards home-based activities. As companies, schools, and various institutions globally transitioned to remote operations, this dataset provides insights into mobility changes. The figures are relative to the number of people staying at home before the pandemic, offering a baseline for comparison. This information is valuable for research into public health and societal responses to global events.
Columns
- Entity: The country to which the data pertains.
- Day: The specific date of the data record.
- Increase in Residential Stay: The percentage increase in people opting to stay at home compared to the pre-pandemic period.
Distribution
- Format: The data is provided in a CSV file named
residential-stay-in-covid19.csv. - Size: The file size is approximately 2.48 MB.
- Structure: The dataset contains 91,900 rows (records) and 3 columns.
Usage
This dataset is ideal for analysing the impact of government restrictions and Work From Home (WFH) policies on public mobility during the COVID-19 pandemic. It can be used for public health research, trend analysis, and understanding behavioural changes on a global scale. It is also suitable for beginner data analysis projects.
Coverage
- Geographic: The data includes information for 129 unique countries across the globe.
- Time Range: The dataset covers a period of 714 unique days, starting from 18 February 2020.
- Demographic: No specific demographic breakdown is provided; the data is aggregated at the country level.
License
CC0: Public Domain
Who Can Use It
- Public Health Researchers: To study the effects of stay-at-home orders on public behaviour and virus transmission.
- Data Analysts and Scientists: For creating visualisations, models, and reports on global mobility trends.
- Students and Beginners: As a straightforward and accessible dataset for learning data analysis and visualisation techniques.
- Policymakers: To assess the effectiveness of public health interventions and inform future strategies.
Dataset Name Suggestions
- Global Residential Stay Trends During COVID-19
- COVID-19 Residential Mobility Data
- Worldwide Increase in Home-Based Stays
- Pandemic Impact on Global Residential Patterns
Attributes
Original Data Source: COVID-19 Residential Mobility Data
QUALITY