Data Resources on the COVID-19 Pandemic
last update 1 year ago
-
Johns Hopkins University
Public Health and MedicineThe data repository for the 2019 Novel Coronavirus Visual Dashboard operated by the Johns Hopkins University Center for Systems Science and Engineering (JHU CSSE).
Link to resource
Why is this resource interesting?The Johns Hopkins COVID-19 data "links data from the Robert Koch Institute, the World Health Organization, and the European Centre for Disease Prevention and Control. Furthermore, official statistics from the Robert Koch Institute are downward biased on weekends, as some local administrations only report their case numbers on workdays. The data then enter the official statistics on Monday and Tuesday, yielding an upward bias of the statistics on new infections. We find that the data from the Johns Hopkins University (2020) are more robust to these biases." (Hartl, et al. 2020),
Related IZA Discussion Papers using this Data Resource 22-
#13411
A Literature Review of the Economics of COVID-19
-
#13388
Black Lives Matter Protests, Social Distancing, and COVID-19
-
#14884
COVID-19 and the Forces behind Social Unrest
-
#13467
COVID-19, Race, and Redlining
-
#13231
Deregulation in a Time of Pandemic: Does Pollution Increase Coronavirus Cases or Deaths?
-
#13137
Explaining Governors' Response to the COVID-19 Pandemic in the United States
-
#13649
Failing to Pull Together: South Africa's Troubled Response to COVID-19
-
#14170
Home Ownership and Home Equity Promote Entrepreneurial Activity
-
#13165
Impacts of Social and Economic Factors on the Transmission of Coronavirus Disease 2019 (COVID-19) in China
-
#13695
Is the Cure Worse than the Disease? County-Level Evidence from the COVID-19 Pandemic in the United States
-
#13293
Lockdown Strategies, Mobility Patterns and COVID-19
-
#13227
Occupational Exposure to Contagion and the Spread of COVID-19 in Europe
-
#13255
On the Effects of COVID-19 Safer-At-Home Policies on Social Distancing, Car Crashes and Pollution
-
#13094
Projecting the Spread of COVID-19 for Germany
-
#13427
Public Attention and Policy Responses to COVID-19 Pandemic
-
#13516
Reacting Quickly and Protecting Jobs: The Short-Term Impacts of the COVID-19 Lockdown on the Greek Labor Market
-
#14710
Role of Professionalism in Response to the COVID-19 Pandemic: Does a Public Health or Medical Background Help?
-
#14984
School Closures and Effective In-Person Learning during COVID-19: When, Where, and for Whom
-
#13151
Should Contact Bans Be Lifted in Germany? A Quantitative Prediction of Its Effects
-
#13862
The COVID-19 Pandemic and the 2020 U.S. Presidential Election
-
#13351
The Political Scar of Epidemics
-
#15209
What COVID-19 May Leave Behind: Technology-Related Job Postings in Canada
-
#13411
-
Google's COVID-19 Community Mobility Reports
Open Data and Surveys Related to COVID-19Google COVID-19 community mobility reports aim to provide insights into what has changed in response to policies aimed at combating COVID-19.
Link to resource
Why is this resource interesting?"The Google COVID-19 mobility reports aggregate anonymized sets of data from users’ mobile device location history. The mobility index measures how visits to, or length of stay at, different types of location change over time compared to a baseline period corresponding to January 3 - February 6, 2020. There are six location categories: (i) retail and recreation, (ii) grocery and pharmacy, (iii) parks (public gardens, dog parks, beaches, etc.), (iv) transit stations (public transport hubs such as subway, bus, train stations), (v) workplaces and (vi) residential areas.
Human mobility is tracked by Google daily and in a consistent manner across 131 countries. For a subset of countries, the information is provided at sub-national level." (IZA DP 13205)
Related IZA Discussion Papers using this Data Resource 29-
#14903
A Year of Pandemic: Levels, Changes and Validity of Well-Being Data from Twitter. Evidence from Ten Countries
-
#13265
An Economic Model of the COVID-19 Epidemic: The Importance of Testing and Age-Specific Policies
-
#13690
Are Happier People More Compliant? Global Evidence From Three Large-Scale Surveys During Covid-19 Lockdowns
-
#13297
Between a Rock and a Hard Place: Poverty and COVID-19 in Developing Countries
-
#14095
Coronavirus and Social Distancing: Do Non-Pharmaceutical-Interventions Work (at Least) in the Short Run?
-
#14682
COVID-19 Mobility Policies Impacts: How Credible Are Difference-in-Differences Estimates?
-
#13778
Determinants of the Community Mobility during the COVID-19 Epidemic: The Role of Government Regulations and Information
-
#13480
Does the COVID-19 Pandemic Improve Global Air Quality? New Cross-National Evidence on Its Unintended Consequences
-
#13376
Dynamics of Social Mobility during the COVID-19 Pandemic in Canada
-
#13649
Failing to Pull Together: South Africa's Troubled Response to COVID-19
-
#14883
Fiscal Multipliers in the COVID-19 Recession
-
#14967
Gimme Shelter. Social Distancing and Income Support in Times of Pandemic
-
#13237
Job Search during the COVID-19 Crisis
-
#13293
Lockdown Strategies, Mobility Patterns and COVID-19
-
#14229
More than Words: Leaders' Speech and Risky Behavior During a Pandemic
-
#14980
Neo-Humanism and COVID-19: Opportunities for a Socially and Environmentally Sustainable World
-
#13255
On the Effects of COVID-19 Safer-At-Home Policies on Social Distancing, Car Crashes and Pollution
-
#13516
Reacting Quickly and Protecting Jobs: The Short-Term Impacts of the COVID-19 Lockdown on the Greek Labor Market
-
#13790
School Re-Openings after Summer Breaks in Germany Did Not Increase SARS-CoV-2 Cases
-
#14844
Schools under Mandatory Testing Can Mitigate the Spread of SARS-CoV-2
-
#15111
Societal Movement Restrictions and Adverse Mental Health Outcomes
-
#13234
Stay-At-Home Orders, Social Distancing and Trust
-
#13651
The Beneficial Impacts of COVID-19 Lockdowns on Air Pollution: Evidence from Vietnam
-
#13862
The COVID-19 Pandemic and the 2020 U.S. Presidential Election
-
#13316
Timing is Everything when Fighting a Pandemic: COVID-19 Mortality in Spain
-
#13205
Trust and Compliance to Public Health Policies in Times of COVID-19
-
#15171
Trust Predicts Compliance with COVID-19 Containment Policies: Evidence from Ten Countries Using Big Data
-
#13440
Urban Density and COVID-19
-
#14119
Weather, Psychological Wellbeing and Mobility during the First Wave of the COVID-19 Pandemic
-
#14903
-
Oxford COVID-19 Government Response Tracker (OxCGRT)
Open Data and Surveys Related to COVID-19The University of Oxford’s Blavatnik School of Government systematically collects information on policy stringency taken by governments to tackle the pandemic since February 2020. OxCGRT collects information on government policy responses across eight dimensions, namely: (i) school closures; (ii) workplace closures; (iii) public event cancellations; (iv) gathering restrictions; (v) public transportation closures; (vi) stay-at-home orders; (vii) restrictions on internal movement; and (viii) international travel bans. These dimensions are then used to calculate response indexes to COVID-19. Each index is rescaled to get a score between 0 and 100 (100 representing the highest degree of strictness/restriction).
Link to resource
Why is this resource interesting?"This tracker implemented by the University of Oxford’s Blavatnik School of Government systematically collects information on the measures taken by governments to tackle the pandemic since February 2020 . OxCGRT is based on publicly avail-able information on 13 indicators of government response (policies such as school closures, ban son public gatherings or travel, etc., and financial indicators such as fiscal or monetary measures). Each indicator is re-scaled to get a score between 0 and 100 (100 representing the highest degree of strictness/restriction)." (IZA DP 13205)
Related IZA Discussion Papers using this Data Resource 24-
#14903
A Year of Pandemic: Levels, Changes and Validity of Well-Being Data from Twitter. Evidence from Ten Countries
-
#13690
Are Happier People More Compliant? Global Evidence From Three Large-Scale Surveys During Covid-19 Lockdowns
-
#14095
Coronavirus and Social Distancing: Do Non-Pharmaceutical-Interventions Work (at Least) in the Short Run?
-
#14116
COVID-19 Severity: A New Approach to Quantifying Global Cases and Deaths
-
#13778
Determinants of the Community Mobility during the COVID-19 Epidemic: The Role of Government Regulations and Information
-
#13480
Does the COVID-19 Pandemic Improve Global Air Quality? New Cross-National Evidence on Its Unintended Consequences
-
#13664
Exponential Growth Bias in the Prediction of COVID-19 Spread and Economic Expectation
-
#13649
Failing to Pull Together: South Africa's Troubled Response to COVID-19
-
#14967
Gimme Shelter. Social Distancing and Income Support in Times of Pandemic
-
#15294
Hiding the Elephant: The Tragedy of COVID Policy and Its Economist Apologists
-
#13927
Interventions with Positive Side-Effects: COVID-19 Non-Pharmaceutical Interventions and Infectious Diseases in Europe
-
#13158
Labour Supply in the Early Stages of the COVID-19 Pandemic: Empirical Evidence on Hours, Home Office, and Expectations
-
#13293
Lockdown Strategies, Mobility Patterns and COVID-19
-
#14980
Neo-Humanism and COVID-19: Opportunities for a Socially and Environmentally Sustainable World
-
#13227
Occupational Exposure to Contagion and the Spread of COVID-19 in Europe
-
#13427
Public Attention and Policy Responses to COVID-19 Pandemic
-
#13516
Reacting Quickly and Protecting Jobs: The Short-Term Impacts of the COVID-19 Lockdown on the Greek Labor Market
-
#13651
The Beneficial Impacts of COVID-19 Lockdowns on Air Pollution: Evidence from Vietnam
-
#14269
The Labour Market Impact of COVID-19: Early Evidence for a Sample of Enterprises from Southern Europe
-
#13351
The Political Scar of Epidemics
-
#13205
Trust and Compliance to Public Health Policies in Times of COVID-19
-
#15171
Trust Predicts Compliance with COVID-19 Containment Policies: Evidence from Ten Countries Using Big Data
-
#13366
Unequal Consequences of COVID-19 across Age and Income: Representative Evidence from Six Countries
-
#15209
What COVID-19 May Leave Behind: Technology-Related Job Postings in Canada
-
#14903
-
WageIndicator Survey of Living and Working in Coronavirus Times
Open Data and Surveys Related to COVID-19The WageIndicator Foundation has launched a continuous global online survey ‘Living and Working in Corona Times’. The purpose of the survey is to discover what makes the Coronavirus lockdown easier (or tougher) for citizens across 110 countries, and to gauge the effect of COVID-19 on jobs, lives and states of mind.
Link to resource
Why is this resource interesting?WageIndicator shows coronavirus-induced changes in living and working conditions in 110 countries. The survey reveals, from day to day, the consequences the large majority of the working population of the world experiences on the basis of answers on the following questions in the Corona survey:
- Is your work affected by the corona crisis?
- Are precautionary measures taken at the workplace?
- Do you have to work from home?
- Has your workload increased/decreased?
- Have you lost your job/work/assignments?
-
European Centre for Disease Prevention and Control
Open Data and Surveys Related to COVID-19The downloadable data file is updated daily and contains the latest available public data on COVID-19. Each row/entry contains the number of new cases reported per day and per country. You may use the data in line with ECDC’s copyright policy.
Link to resource
Why is this resource interesting?ECDC data provide the total number of diagnosed COVID.19 infections, the number of deceased patience and the growth rate of COVID-19 around the globe. ECDC examines reports from health authorities worldwide in a systematic way in order to produce the number of COVID-19 cases and deaths every day.
Related IZA Discussion Papers using this Data Resource 10-
#13683
Are COVID Fatalities in the US Higher Than in the EU, and If So, Why?
-
#13297
Between a Rock and a Hard Place: Poverty and COVID-19 in Developing Countries
-
#13092
Compliance with COVID-19 Social-Distancing Measures in Italy: The Role of Expectations and Duration
-
#14095
Coronavirus and Social Distancing: Do Non-Pharmaceutical-Interventions Work (at Least) in the Short Run?
-
#13164
How Do We Think the COVID-19 Crisis Will Affect Our Careers (If Any Remain)?
-
#13452
Intergenerational Residence Patterns and COVID-19 Fatalities in the EU and the US
-
#13114
Intergenerational Ties and Case Fatality Rates: A Cross-Country Analysis
-
#13293
Lockdown Strategies, Mobility Patterns and COVID-19
-
#13351
The Political Scar of Epidemics
-
#13205
Trust and Compliance to Public Health Policies in Times of COVID-19
-
#13683
A number of national and international research projects are currently underway that empirically
record the economic and social effects of the COVID-19 pandemic. The collection is wide and ranges
from snapshots of surveys with self-selected samples, representative surveys, longitudinal studies,
experiments, etc..
IZA’s Research Data Center (IDSC) collects and curates the information on such new initiatives.
Projects with high research output based on number of IZA Discussion Papers or otherwise are
promoted especially as “featured resources” on the top of our website.
Please contact the IDSC of IZA for any suggestions of further content at
idsc@iza.org.
-
European Centre for Disease Prevention and Control
Open Data and Surveys Related to COVID-19The downloadable data file is updated daily and contains the latest available public data on COVID-19. Each row/entry contains the number of new cases reported per day and per country. You may use the data in line with ECDC’s copyright policy.
Link to resource
Why is this resource interesting?ECDC data provide the total number of diagnosed COVID.19 infections, the number of deceased patience and the growth rate of COVID-19 around the globe. ECDC examines reports from health authorities worldwide in a systematic way in order to produce the number of COVID-19 cases and deaths every day.
Show Related IZA Discussion Papers using this Data Resource 10-
#13683
Are COVID Fatalities in the US Higher Than in the EU, and If So, Why?
-
#13297
Between a Rock and a Hard Place: Poverty and COVID-19 in Developing Countries
-
#13092
Compliance with COVID-19 Social-Distancing Measures in Italy: The Role of Expectations and Duration
-
#14095
Coronavirus and Social Distancing: Do Non-Pharmaceutical-Interventions Work (at Least) in the Short Run?
-
#13164
How Do We Think the COVID-19 Crisis Will Affect Our Careers (If Any Remain)?
-
#13452
Intergenerational Residence Patterns and COVID-19 Fatalities in the EU and the US
-
#13114
Intergenerational Ties and Case Fatality Rates: A Cross-Country Analysis
-
#13293
Lockdown Strategies, Mobility Patterns and COVID-19
-
#13351
The Political Scar of Epidemics
-
#13205
Trust and Compliance to Public Health Policies in Times of COVID-19
-
#13683
-
Google's COVID-19 Community Mobility Reports
Open Data and Surveys Related to COVID-19Google COVID-19 community mobility reports aim to provide insights into what has changed in response to policies aimed at combating COVID-19.
Link to resource
Why is this resource interesting?"The Google COVID-19 mobility reports aggregate anonymized sets of data from users’ mobile device location history. The mobility index measures how visits to, or length of stay at, different types of location change over time compared to a baseline period corresponding to January 3 - February 6, 2020. There are six location categories: (i) retail and recreation, (ii) grocery and pharmacy, (iii) parks (public gardens, dog parks, beaches, etc.), (iv) transit stations (public transport hubs such as subway, bus, train stations), (v) workplaces and (vi) residential areas.
Human mobility is tracked by Google daily and in a consistent manner across 131 countries. For a subset of countries, the information is provided at sub-national level." (IZA DP 13205)
Show Related IZA Discussion Papers using this Data Resource 29-
#14903
A Year of Pandemic: Levels, Changes and Validity of Well-Being Data from Twitter. Evidence from Ten Countries
-
#13265
An Economic Model of the COVID-19 Epidemic: The Importance of Testing and Age-Specific Policies
-
#13690
Are Happier People More Compliant? Global Evidence From Three Large-Scale Surveys During Covid-19 Lockdowns
-
#13297
Between a Rock and a Hard Place: Poverty and COVID-19 in Developing Countries
-
#14095
Coronavirus and Social Distancing: Do Non-Pharmaceutical-Interventions Work (at Least) in the Short Run?
-
#14682
COVID-19 Mobility Policies Impacts: How Credible Are Difference-in-Differences Estimates?
-
#13778
Determinants of the Community Mobility during the COVID-19 Epidemic: The Role of Government Regulations and Information
-
#13480
Does the COVID-19 Pandemic Improve Global Air Quality? New Cross-National Evidence on Its Unintended Consequences
-
#13376
Dynamics of Social Mobility during the COVID-19 Pandemic in Canada
-
#13649
Failing to Pull Together: South Africa's Troubled Response to COVID-19
-
#14883
Fiscal Multipliers in the COVID-19 Recession
-
#14967
Gimme Shelter. Social Distancing and Income Support in Times of Pandemic
-
#13237
Job Search during the COVID-19 Crisis
-
#13293
Lockdown Strategies, Mobility Patterns and COVID-19
-
#14229
More than Words: Leaders' Speech and Risky Behavior During a Pandemic
-
#14980
Neo-Humanism and COVID-19: Opportunities for a Socially and Environmentally Sustainable World
-
#13255
On the Effects of COVID-19 Safer-At-Home Policies on Social Distancing, Car Crashes and Pollution
-
#13516
Reacting Quickly and Protecting Jobs: The Short-Term Impacts of the COVID-19 Lockdown on the Greek Labor Market
-
#13790
School Re-Openings after Summer Breaks in Germany Did Not Increase SARS-CoV-2 Cases
-
#14844
Schools under Mandatory Testing Can Mitigate the Spread of SARS-CoV-2
-
#15111
Societal Movement Restrictions and Adverse Mental Health Outcomes
-
#13234
Stay-At-Home Orders, Social Distancing and Trust
-
#13651
The Beneficial Impacts of COVID-19 Lockdowns on Air Pollution: Evidence from Vietnam
-
#13862
The COVID-19 Pandemic and the 2020 U.S. Presidential Election
-
#13316
Timing is Everything when Fighting a Pandemic: COVID-19 Mortality in Spain
-
#13205
Trust and Compliance to Public Health Policies in Times of COVID-19
-
#15171
Trust Predicts Compliance with COVID-19 Containment Policies: Evidence from Ten Countries Using Big Data
-
#13440
Urban Density and COVID-19
-
#14119
Weather, Psychological Wellbeing and Mobility during the First Wave of the COVID-19 Pandemic
-
#14903
-
Johns Hopkins University
Public Health and MedicineThe data repository for the 2019 Novel Coronavirus Visual Dashboard operated by the Johns Hopkins University Center for Systems Science and Engineering (JHU CSSE).
Link to resource
Why is this resource interesting?The Johns Hopkins COVID-19 data "links data from the Robert Koch Institute, the World Health Organization, and the European Centre for Disease Prevention and Control. Furthermore, official statistics from the Robert Koch Institute are downward biased on weekends, as some local administrations only report their case numbers on workdays. The data then enter the official statistics on Monday and Tuesday, yielding an upward bias of the statistics on new infections. We find that the data from the Johns Hopkins University (2020) are more robust to these biases." (Hartl, et al. 2020),
Show Related IZA Discussion Papers using this Data Resource 22-
#13411
A Literature Review of the Economics of COVID-19
-
#13388
Black Lives Matter Protests, Social Distancing, and COVID-19
-
#14884
COVID-19 and the Forces behind Social Unrest
-
#13467
COVID-19, Race, and Redlining
-
#13231
Deregulation in a Time of Pandemic: Does Pollution Increase Coronavirus Cases or Deaths?
-
#13137
Explaining Governors' Response to the COVID-19 Pandemic in the United States
-
#13649
Failing to Pull Together: South Africa's Troubled Response to COVID-19
-
#14170
Home Ownership and Home Equity Promote Entrepreneurial Activity
-
#13165
Impacts of Social and Economic Factors on the Transmission of Coronavirus Disease 2019 (COVID-19) in China
-
#13695
Is the Cure Worse than the Disease? County-Level Evidence from the COVID-19 Pandemic in the United States
-
#13293
Lockdown Strategies, Mobility Patterns and COVID-19
-
#13227
Occupational Exposure to Contagion and the Spread of COVID-19 in Europe
-
#13255
On the Effects of COVID-19 Safer-At-Home Policies on Social Distancing, Car Crashes and Pollution
-
#13094
Projecting the Spread of COVID-19 for Germany
-
#13427
Public Attention and Policy Responses to COVID-19 Pandemic
-
#13516
Reacting Quickly and Protecting Jobs: The Short-Term Impacts of the COVID-19 Lockdown on the Greek Labor Market
-
#14710
Role of Professionalism in Response to the COVID-19 Pandemic: Does a Public Health or Medical Background Help?
-
#14984
School Closures and Effective In-Person Learning during COVID-19: When, Where, and for Whom
-
#13151
Should Contact Bans Be Lifted in Germany? A Quantitative Prediction of Its Effects
-
#13862
The COVID-19 Pandemic and the 2020 U.S. Presidential Election
-
#13351
The Political Scar of Epidemics
-
#15209
What COVID-19 May Leave Behind: Technology-Related Job Postings in Canada
-
#13411
-
Oxford COVID-19 Government Response Tracker (OxCGRT)
Open Data and Surveys Related to COVID-19The University of Oxford’s Blavatnik School of Government systematically collects information on policy stringency taken by governments to tackle the pandemic since February 2020. OxCGRT collects information on government policy responses across eight dimensions, namely: (i) school closures; (ii) workplace closures; (iii) public event cancellations; (iv) gathering restrictions; (v) public transportation closures; (vi) stay-at-home orders; (vii) restrictions on internal movement; and (viii) international travel bans. These dimensions are then used to calculate response indexes to COVID-19. Each index is rescaled to get a score between 0 and 100 (100 representing the highest degree of strictness/restriction).
Link to resource
Why is this resource interesting?"This tracker implemented by the University of Oxford’s Blavatnik School of Government systematically collects information on the measures taken by governments to tackle the pandemic since February 2020 . OxCGRT is based on publicly avail-able information on 13 indicators of government response (policies such as school closures, ban son public gatherings or travel, etc., and financial indicators such as fiscal or monetary measures). Each indicator is re-scaled to get a score between 0 and 100 (100 representing the highest degree of strictness/restriction)." (IZA DP 13205)
Show Related IZA Discussion Papers using this Data Resource 24-
#14903
A Year of Pandemic: Levels, Changes and Validity of Well-Being Data from Twitter. Evidence from Ten Countries
-
#13690
Are Happier People More Compliant? Global Evidence From Three Large-Scale Surveys During Covid-19 Lockdowns
-
#14095
Coronavirus and Social Distancing: Do Non-Pharmaceutical-Interventions Work (at Least) in the Short Run?
-
#14116
COVID-19 Severity: A New Approach to Quantifying Global Cases and Deaths
-
#13778
Determinants of the Community Mobility during the COVID-19 Epidemic: The Role of Government Regulations and Information
-
#13480
Does the COVID-19 Pandemic Improve Global Air Quality? New Cross-National Evidence on Its Unintended Consequences
-
#13664
Exponential Growth Bias in the Prediction of COVID-19 Spread and Economic Expectation
-
#13649
Failing to Pull Together: South Africa's Troubled Response to COVID-19
-
#14967
Gimme Shelter. Social Distancing and Income Support in Times of Pandemic
-
#15294
Hiding the Elephant: The Tragedy of COVID Policy and Its Economist Apologists
-
#13927
Interventions with Positive Side-Effects: COVID-19 Non-Pharmaceutical Interventions and Infectious Diseases in Europe
-
#13158
Labour Supply in the Early Stages of the COVID-19 Pandemic: Empirical Evidence on Hours, Home Office, and Expectations
-
#13293
Lockdown Strategies, Mobility Patterns and COVID-19
-
#14980
Neo-Humanism and COVID-19: Opportunities for a Socially and Environmentally Sustainable World
-
#13227
Occupational Exposure to Contagion and the Spread of COVID-19 in Europe
-
#13427
Public Attention and Policy Responses to COVID-19 Pandemic
-
#13516
Reacting Quickly and Protecting Jobs: The Short-Term Impacts of the COVID-19 Lockdown on the Greek Labor Market
-
#13651
The Beneficial Impacts of COVID-19 Lockdowns on Air Pollution: Evidence from Vietnam
-
#14269
The Labour Market Impact of COVID-19: Early Evidence for a Sample of Enterprises from Southern Europe
-
#13351
The Political Scar of Epidemics
-
#13205
Trust and Compliance to Public Health Policies in Times of COVID-19
-
#15171
Trust Predicts Compliance with COVID-19 Containment Policies: Evidence from Ten Countries Using Big Data
-
#13366
Unequal Consequences of COVID-19 across Age and Income: Representative Evidence from Six Countries
-
#15209
What COVID-19 May Leave Behind: Technology-Related Job Postings in Canada
-
#14903
-
WageIndicator Survey of Living and Working in Coronavirus Times
Open Data and Surveys Related to COVID-19The WageIndicator Foundation has launched a continuous global online survey ‘Living and Working in Corona Times’. The purpose of the survey is to discover what makes the Coronavirus lockdown easier (or tougher) for citizens across 110 countries, and to gauge the effect of COVID-19 on jobs, lives and states of mind.
Link to resource
Why is this resource interesting?WageIndicator shows coronavirus-induced changes in living and working conditions in 110 countries. The survey reveals, from day to day, the consequences the large majority of the working population of the world experiences on the basis of answers on the following questions in the Corona survey:
- Is your work affected by the corona crisis?
- Are precautionary measures taken at the workplace?
- Do you have to work from home?
- Has your workload increased/decreased?
- Have you lost your job/work/assignments?