Analysis of COVID impact on US households

14 Dec 2020

Abstract

The goal of this analysis is to gauge the impact of the pandemic on overall household characteristics such as employment status, housing, education disruptions, and dimensions of physical and mental wellness. There is a large amount of emotionally negative stimuli related to the COVID-19 pandemic. How do people prepare themselves in difficult times like this? Analyzing and exploring people's response to pandemic can provide useful insights into people's perspective about COVID and the challenges they face.

As we all know,the impacts of the pandemic and the economic fallout have been widespread, but are particularly prevalent among Black, Latino, Indigenous, and immigrant households. There is also an impact on gender. This analysis will deep dive into some of the impacts of covid by Age group, race and ethinicity and gender. We also try to compare the impacts in Washington state versus all other states in terms of certain indicators and understand the different groups of people based on various characteristics pertaining to COVID. The research questions will target specific variables. Below are some references:

  • Covid Recession effects
  • Covid data from NCHS
  • Data Source

    The Household Pulse Survey provides timely data to help understand the experiences of American households during the coronavirus pandemic. Data for this research comes from the Phase 1 Household Pulse Survey that began on April 23 and ended on July 21, 2020 spanning 12 weeks. The dataset is very rich and informative. It dataset has 105 variables, 1088314 observations and includes employment status, food security, housing, physical and mental health, access to health care, and educational disruption. In order to support the nation’s recovery, we need to know the ways this pandemic has affected people’s lives and livelihoods. Data from these datasets will show the widespread effects of the coronavirus pandemic on individuals, families, and communities across the country.

    The survey was conducted by an internet questionnaire, with invitations to participate sent by email and text message. Housing units linked to one or more email addresses or cell phone numbers were randomly selected to participate, and one respondent from each housing unit was selected to respond.

    Links to Data set and Data dictionary

    Download data

    Data is directly downloaded from census website using python modules. Refer to the data_cleaning.ipynb for detailed downloading steps

    Terms of use of census data

    The Census Bureau is committed to open government by sharing its public data as open data. Census data continues to be a key national resource, serving as a fuel for entrepreneurship and innovation, scientific discovery, and commercial activity. We continuously identify and publish datasets and Application Programming Interface’s (API’s) to Data.gov in accordance with the Office of Management and Budget (OMB) Memorandum M-10-06, the Executive Order 13642 on open data, and the overall principles outlined in the Digital Government Strategy. In accordance with the Open Data Policy, M-13-13, the Census Bureau publishes its information in machine-readable formats while also safeguarding privacy and security.

    Research Questions

    Methodology

    Link to source code in Github

    Source code