State, territorial, and county executive orders, administrative orders, resolutions, and proclamations are collected from government websites and cataloged and coded using Microsoft Excel by one coder with one or more additional coders conducting quality assurance.

Data were collected to determine when individuals in states, territories, and counties were subject to executive orders, administrative orders, resolutions, and proclamations for COVID-19 that require or recommend people stay in their homes.

These data are derived from the publicly available state, territorial, and county executive orders, administrative orders, resolutions, and proclamations (“orders”) for COVID-19 that expressly require or recommend individuals stay at home found by the CDC, COVID-19 Community Intervention and At-Risk Task Force, Monitoring and Evaluation Team & CDC, Center for State, Tribal, Local, and Territorial Support, Public Health Law Program from March 15 through May 5, 2020. These data will be updated as new orders are collected. Any orders not available through publicly accessible websites are not included in these data. Only official copies of the documents or, where official copies were unavailable, official press releases from government websites describing requirements were coded; news media reports on restrictions were excluded. Recommendations not included in an order are not included in these data. These data do not include mandatory business closures, curfews, or limitations on public or private gatherings. These data do not necessarily represent an official position of the Centers for Disease Control and Prevention.

State and territorial executive orders, administrative orders, resolutions, and proclamations are collected from government websites and cataloged and coded using Microsoft Excel by one coder with one or more additional coders conducting quality assurance.

Data were collected to determine when individuals in states and territories were subject to executive orders, administrative orders, resolutions, and proclamations for COVID-19 that require or recommend people stay in their homes. Data consists exclusively of state and territorial orders, many of which apply to specific counties within their respective state or territory; therefore, data is broken down to the county level.

These data are derived from the publicly available state and territorial executive orders, administrative orders, resolutions, and proclamations (“orders”) for COVID-19 that expressly require or recommend individuals stay at home found by the CDC, COVID-19 Community Intervention and At-Risk Task Force, Monitoring and Evaluation Team & CDC, Center for State, Tribal, Local, and Territorial Support, Public Health Law Program from March 15, 2020 through May 31, 2021. These data will be updated as new orders are collected. Any orders not available through publicly accessible websites are not included in these data. Only official copies of the documents or, where official copies were unavailable, official press releases from government websites describing requirements were coded; news media reports on restrictions were excluded. Recommendations not included in an order are not included in these data. These data do not include mandatory business closures, curfews, or limitations on public or private gatherings. These data do not necessarily represent an official position of the Centers for Disease Control and Prevention.

Analysis of ‘U.S. State, Territorial, and County Stay-At-Home Orders: March 15-May 5 by County by Day’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://catalog.data.gov/dataset/05277b4c-37e8-4d1b-9ba0-fe465d464511 on 12 February 2022.

--- Dataset description provided by original source is as follows ---

State, territorial, and county executive orders, administrative orders, resolutions, and proclamations are collected from government websites and cataloged and coded using Microsoft Excel by one coder with one or more additional coders conducting quality assurance.

Data were collected to determine when individuals in states, territories, and counties were subject to executive orders, administrative orders, resolutions, and proclamations for COVID-19 that require or recommend people stay in their homes.

These data are derived from the publicly available state, territorial, and county executive orders, administrative orders, resolutions, and proclamations (“orders”) for COVID-19 that expressly require or recommend individuals stay at home found by the CDC, COVID-19 Community Intervention and At-Risk Task Force, Monitoring and Evaluation Team & CDC, Center for State, Tribal, Local, and Territorial Support, Public Health Law Program from March 15 through May 5, 2020. These data will be updated as new orders are collected. Any orders not available through publicly accessible websites are not included in these data. Only official copies of the documents or, where official copies were unavailable, official press releases from government websites describing requirements were coded; news media reports on restrictions were excluded. Recommendations not included in an order are not included in these data. These data do not include mandatory business closures, curfews, or limitations on public or private gatherings. These data do not necessarily represent an official position of the Centers for Disease Control and Prevention.

--- Original source retains full ownership of the source dataset ---

This dataset tracks the updates made on the dataset "U.S. State, Territorial, and County Stay-At-Home Orders: March 15-May 5 by County by Day" as a repository for previous versions of the data and metadata.

This dataset contains dates for the implementations of the following interventions in 50 US states plus Shelby County TN in response to COVID-19. Each intervention date has an associated comment containing sources for that date and a rationale when the decision was not strictly objective. Interventions are valid to 4/25/20 after which some states began to reverse some interventions.

• schools_universities
  • Primary/secondary school closing; partial closing is OK; State university closing if it precedes primary/secondary
• travel_restrictions
  • Out of state travel quarantine restrictions OR state-level guidance to avoid traveling out of state
• public_events
  • Banning of ALL public events of more than 100 participants
• sport
  • Banning/canceling of sporting events. Banning of public events of 1000 or more also qualifies.
• lockdown
  • Definitions vary, but include: banning of non-essential gatherings/business operations, ordering stay at home except for exercise and essential tasks; stay at home/safer at home orders
  • Lockdown encompasses all other intervensions by definition, so if a state skips multiple interventions and goes to lockdown, the lockdown date is used for those interventions as well.
• social_distancing_encouraged
  • State advice on distancing including: work from home, reduce public transport, avoid non-essential contact; any guidance for maintaining a physical distance from others will also qualify. Mere words "social distancing" do not count unless they are elaborated with what that means in practice. Messaging must be to public and not selected group (e.g. state employees).
• self_isolating_if_ill
  • Strong recommendations/laws about self-isolating if showing COVID like symptoms; Statewide testing implies this, so whichever comes first. Messaging must be to public and not selected group (e.g. state employees).

This data is a manually curated dataset that provides a standardized view into state and county policy orders (executive orders, ordinances, etc.) from the following sources:

• BU COVID-19 State Policy Database - Raifman J, Nocka K, Jones D, Bor J, Lipson S, Jay J, and Chan P. (2020). "COVID-19 US state policy database."
• wikidata - Stay At Home Policies Queried from WikiData
• Manual curation by a dedicated group of Virtual Student Federal Service Interns - Summer 2020: T Adler, J Bastian, L Beckett, M Cohen, K Honey, C Kennedy, E Nudell

This dataset has been deprecated.

This was a cross-sectional nationwide survey of adults in the US conducted between April 24 and May 13, 2020. The survey targeted a representative sample of approximately 5,000 respondents. The rate of COVID-19 cases and testing, most frequently reported symptoms, symptom severity, treatment received, impact of COVID-19 on mental and physical health, and factors predictive of testing positive were assessed.

Database of state policy actions including states of emergency, closures, re-openings, re-closures, stay at home and shelter-in-place orders, mask requirements, quarantine rules, alcohol and firearm restrictions, housing protections, unemployment policies, changes to Medicaid and SNAP, racial disparities, incarceration, substance use disorder policies, relevant state policies that were in place before COVID (for example those relating to Medicaid expansions), state characteristics (such as population and 2018 all-cause mortality), vaccination, and other responses to the COVID-19 pandemic. All policies included are binding directives/mandates (ie the data does not include guidelines or recommendations that are required) and the dataset only includes policies effective at the state level, not the actions of local governments.

They simulate model outcomes, under different levels and duration of interventions. The COVID-19 Simulator allows the simulation of different COVID-19 variant prevalence scenarios. The national and state-level analysis views and analyzes COVID-19 trends in the United States and in selected states, under different levels and durations of the interventions of minimal restrictions, current COVID-19 interventions, stay-at-home orders, and lockdown. The state-by-state comparison compares COVID-19 trends across multiple states under the interventions of minimal restrictions, current COVID-19 interventions, stay-at-home orders, and lockdown. The results can be visualized and downloaded on the website.

Analysis of ‘COVID-19 State and County Policy Orders’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://catalog.data.gov/dataset/f9723c3f-2aba-4d80-a10c-0f15e69bc78f on 11 February 2022.

--- Dataset description provided by original source is as follows ---

This data is a manually curated dataset that provides a standardized view into state and county policy orders (executive orders, ordinances, etc.) from the following sources:

• BU COVID-19 State Policy Database - Raifman J, Nocka K, Jones D, Bor J, Lipson S, Jay J, and Chan P. (2020). "COVID-19 US state policy database."
• wikidata - Stay At Home Policies Queried from WikiData
• Manual curation by a dedicated group of Virtual Student Federal Service Interns - Summer 2020: T Adler, J Bastian, L Beckett, M Cohen, K Honey, C Kennedy, E Nudell

--- Original source retains full ownership of the source dataset ---

As of May 31, a slightly higher share respondents in the United States had lost income due to the COVID-19 pandemic than in Germany and the United Kingdom.

Coronavirus and economic stability in the U.S. Ever since the turn of the year 2020, COVID-19 has led to serious consequences around the world. The pandemic has caused over 200,000 deaths worldwide, and as of May 2020 no other country is as badly affected by the coronavirus outbreak as United States. The country has reported close to 70,000 deaths as of May 4th, 2020, and the number is growing with every day passing.

Several states in the United States have issued stay-at-home orders to their citizens which means that millions of people are unable to go to work. More than 12 million unemployment insurance claims were made in the U.S. in April 2020, as the unemployment figures were soaring. As a result, the U.S. respondents are not only quite worried about their country’s economic stability, but at the same time, they are stressed about their personal finances.

In 2020, two thirds of consumers in the United States planned to fund their home office furniture purchases through their own finances. Demand for home office furniture spiked as a result of the COVID-19 pandemic, with widespread lockdowns and stay at home orders across the United States.

For further information about the coronavirus (COVID-19) pandemic, please visit our dedicated Facts and Figures page.

Each year, millions of dogs enter thousands of animal shelters across the United States. Life in the shelter can be stressful, and one type of intervention that improves dogs’ experience is human interaction, particularly stays in foster homes. Prior research has demonstrated that fostering can reduce dogs’ cortisol and increase their resting activity. Despite these benefits, little is understood about the utilization of foster caregiving in animal shelters, and even less so during a crisis. On March 11, 2020, the World Health Organization deemed the coronavirus outbreak a worldwide pandemic, and subsequently, a nationwide emergency was declared in the United States. Nearly all states issued stay-at-home orders to curb the spread of the virus. During this time, media outlets reported increased interest in the adoption and fostering of shelter pets. This study explores canine foster caregiving at 19 US animal shelters during the first 4 months of the COVID-19 pandemic. In our investigation, we found that shelters’ utilization of foster caregiving increased from March to April 2020 but returned to initial pandemic levels by June 2020. Slightly less than two-fifths of foster caregivers were community members with no prior relationship with the shelter, and these caregivers were over four times more likely to adopt their fostered dogs than those with a pre-existing relationship with the shelter. Individuals fostering with the intention to adopt, in fact, adopted their dogs in nearly three-quarters of those instances. With regards to shelters’ available resources, we found that very low-resource shelters relied more heavily on individuals with prior relationships to provide foster caregiving while very high-resource shelters more often recruited new community members. We also found that our lowest resourced shelters transferred more dogs out of their facilities while more resourced shelters rehomed dogs directly to adopters. To our knowledge, these findings represent the first in-depth reporting about dog fostering in US animal shelters and, more specifically, foster caregiving during the COVID-19 pandemic. In total, they provide a greater understanding of how monetary and human resources were utilized to affect the care and ultimately, the outcomes of shelter dogs during this time.

During a March 2020 survey of consumers in the United States, 74 percent of respondents stated that if confined to their homes during the coronavirus, they were likely to purchase grocery store items online. Women seemed slightly more likely to do so, with (*.7 percent saying they would shop online for groceries, while the same was true for 94.7 percent of responding men. Online delivery orders of groceries have surged in the wake of the coronavirus pandemic and pasta delivery orders increased almost 700 percent in the first quarter of 2020 compared to the previous year.For further information about the coronavirus (COVID-19) pandemic, please visit our dedicated Facts and Figures page.

The COVID Impact Survey aims to fill an information gap that currently exists in the United States, supported by philanthropy and government in the absence of a current analogous government survey. While the Data Foundation and other organizations are encouraging the federal government to launch similar, larger-scale efforts in coming months, data collection now is vital to our country’s future choices and we cannot wait for the government to act. Importantly, this information will be critical for policymakers in determining future actions for stay-at-home orders, social distancing policies, and other actions to combat the virus. The random sample survey offers national insights about the American population’s experiences, including health, economic, and social well-being questions. Information will also be published as open data for use by policymakers and researchers. Statistics are available for more than a dozen states and metropolitan areas, recognizing the regional impacts may vary substantially.

During a March 2020 survey of consumers in the United States, 41.7 percent of respondents stated that if confined to their homes during the coronavirus, they were likely to purchase restaurant food delivery online. The food and hospitality industry has been hit particularly hard by the coronavirus pandemic as bars and restaurants are forced to shutdown due to health and safety concerns. Many smaller establishments have pivoted to local food delivery services and there have been online initiatives to support local restaurants by buying vouchers or ordering food online.For further information about the coronavirus (COVID-19) pandemic, please visit our dedicated Facts and Figures page.

Us House Congressional Representatives serving Macon-Bibb County.

Congressional districts are the 435 areas from which members are elected to the U.S. House of Representatives. After the apportionment of congressional seats among the states, which is based on decennial census population counts, each state with multiple seats is responsible for establishing congressional districts for the purpose of electing representatives. Each congressional district is to be as equal in population to all other congressional districts in a state as practicable. The boundaries and numbers shown for the congressional districts are those specified in the state laws or court orders establishing the districts within each state.

Congressional districts for the 108th through 112th sessions were established by the states based on the result of the 2000 Census. Congressional districts for the 113th through 115th sessions were established by the states based on the result of the 2010 Census. Boundaries are effective until January of odd number years (for example, January 2015, January 2017, etc.), unless a state initiative or court ordered redistricting requires a change. All states established new congressional districts in 2011-2012, with the exception of the seven single member states (Alaska, Delaware, Montana, North Dakota, South Dakota, Vermont, and Wyoming).

For the states that have more than one representative, the Census Bureau requested a copy of the state laws or applicable court order(s) for each state from each secretary of state and each 2010 Redistricting Data Program state liaison requesting a copy of the state laws and/or applicable court order(s) for each state. Additionally, the states were asked to furnish their newly established congressional district boundaries and numbers by means of geographic equivalency files. States submitted equivalency files since most redistricting was based on whole census blocks. Kentucky was the only state where congressional district boundaries split some of the 2010 Census tabulation blocks. For further information on these blocks, please see the user-note at the bottom of the tables for this state.

The Census Bureau entered this information into its geographic database and produced tabulation block equivalency files that depicted the newly defined congressional district boundaries. Each state liaison was furnished with their file and requested to review, submit corrections, and certify the accuracy of the boundaries.

During a March 2020 survey of consumers in the United States, 74 percent of respondents stated that if confined to their homes during the coronavirus, they were likely to purchase grocery store items online. Online delivery orders of groceries have surged in the wake of the coronavirus pandemic and pasta delivery orders increased almost 700 percent in the first quarter of 2020 compared to the previous year.For further information about the coronavirus (COVID-19) pandemic, please visit our dedicated Facts and Figures page.

As of March 2020, social media users in the United States were staying online more. According to a survey of U.S. social media users, 29.7 percent of respondents were using social media 1-2 hours additional hours per day. A further 20.5 percent used social media 30 minutes to 1 hour more than usual per day. Only 1.6 percent of users were adding less than 15 minutes to their usage. Additional social media usage was a result of the coronavirus pandemic, which caused stay home orders and social distancing to be put in place in the country.

This statistic shows an estimate of the number of new house orders in the United States in 2018, broken down by homebuilding company. It is estimated that in 2018, D.R. Horton received around 52,600 new house orders.