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TwitterIn the wake of COVID-19 and associated lockdowns, small businesses in every state saw a negative change in their revenues when compared to revenues before the pandemic began. Businesses in states like New York, New Jersey, and Michigan saw some of the ******* declines in revenues. Small businesses in more rural states such as South Dakota, Montana and Nebraska also saw their revenues ******, but **** dramatically then in aforementioned states.
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TwitterDuring an online survey, **** percent of surveyed small businesses in the United States said they had a decrease in their number of paid employees due to the COVID-19 pandemic during the week ending April 17, 2022. Another *** percent of respondents said that they had increased the number of employees during the same week.
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TwitterIn an online survey conducted in January 2022, **** percent of surveyed small businesses in the United States said they had received financial assistance from the Paycheck Protection Program (PPP) to combat the effects of the COVID-19 pandemic since late *************. However, **** percent of respondents said that their business had not received any financial assistance from any source since *************.
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TwitterThis measure presents the cumulative number of small businesses receiving relief payments funded by the Coronavirus Relief Fund money appropriated to Iowa through the Coronavirus Aid, Relief and Economic Security (CARES) Act.
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The Paycheck Protection Program (PPP) is a $953-billion business loan program established by the United States federal government, led by the Donald Trump administration in 2020 through the Coronavirus Aid, Relief, and Economic Security Act (CARES Act) to help certain businesses, self-employed workers, sole proprietors, certain non-profit organizations, and tribal businesses continue paying their workers.
The Paycheck Protection Program allows entities to apply for low-interest private loans to pay for their payroll and certain other costs. The amount of a PPP loan is approximately equal to 2.5 times the applicant's average monthly payroll costs. In some cases, an applicant may receive a second draw typically equal to the first. The loan proceeds may be used to cover payroll costs, rent, interest, and utilities. The loan may be partially or fully forgiven if the business keeps its employee counts and employee wages stable. The program is implemented by the U.S. Small Business Administration. The deadline to apply for a PPP loan was March 31, 2021.
Some economists have found that the PPP did not save as many jobs as purported and aided too many businesses that were not at risk of going under. They noted that other programs, such as unemployment insurance, food assistance, and aid to state and local governments, would have been more efficient at strengthening the economy. Opponents to this view note that the PPP functioned well to prevent business closures and cannot be measured on the number of jobs saved alone.
According to a 2022 study, the PPP: cumulatively preserved between 2 and 3 million job-years of employment over 14 months at a cost of $169K to $258K per job-year retained. These numbers imply that only 23 to 34 percent of PPP dollars went directly to workers who would otherwise have lost jobs; the balance flowed to business owners and shareholders, including creditors and suppliers of PPP-receiving firms. Program incidence was ultimately highly regressive, with about three-quarters of PPP funds accruing to the top quintile of households. PPP's breakneck scale-up, its high cost per job saved, and its regressive incidence have a common origin: PPP was essentially untargeted because the United States lacked the administrative infrastructure to do otherwise. Harnessing modern administrative systems, other high-income countries were able to better target pandemic business aid to firms in financial distress. Building similar capacity in the U.S. would enable improved targeting when the next pandemic or other large-scale economic emergency inevitably arises.
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TwitterDuring an online survey, *** percent of surveyed small businesses in the United States said they had temporarily closed a location due to the COVID-19 pandemic during the week ending April 17, 2022. Another *** percent of respondents said that they had opened a previously closed location during the same week.
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SB: AZ: COVID-19 Impact: Moderate Positive Effect data was reported at 5.700 % in 11 Apr 2022. This records a decrease from the previous number of 8.400 % for 04 Apr 2022. SB: AZ: COVID-19 Impact: Moderate Positive Effect data is updated weekly, averaging 8.000 % from Nov 2021 (Median) to 11 Apr 2022, with 18 observations. The data reached an all-time high of 10.100 % in 22 Nov 2021 and a record low of 5.700 % in 11 Apr 2022. SB: AZ: COVID-19 Impact: Moderate Positive Effect data remains active status in CEIC and is reported by U.S. Census Bureau. The data is categorized under Global Database’s United States – Table US.S: Small Business Pulse Survey: by State: West Region: Weekly, Beg Monday (Discontinued).
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TwitterWe apply data from the Federal Reserve’s Small Business Credit Survey from 2016 to 2020 to estimate disparities in access to small business financing through loan denials and discouragement. We find that substantial credit disparities continue to exist despite the growth of fintech lenders, which prior research shows have expanded the set of small businesses receiving credit. Because the pandemic period brought many direct changes to the business and lending environment, we separately analyze the change to lending in 2020. PPP loans represented an unprecedented support for small businesses, support that was not dependent on the creditworthiness of businesses, but minority-owned businesses are estimated to have received a smaller fraction of the funds they applied for from the program. This paper has been accepted for publication in Economic Development Quarterly , https://doi.org/10.1177/08912424231168331 .
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TwitterDuring the week ending July 11, 2021, **** percent of surveyed small businesses in Ohio said in an online survey that they had no change in their number of paid employees due to the COVID-19 pandemic. However, **** percent of small businesses reported aa decrease in paid employment during the same week.
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TwitterSurvey data are sourced from the recipients of 10 emergency grant and loan initiatives offered by Carolina Small Business Development Fund (CSBDF) to qualifying small business owners across North Carolina between February 2020 and February 2022. This includes 1 loan and 1 grant program offered by CSBDF with its own funds as well as 4 loan and 4 grant programs administered via partnerships across the public and philanthropic sector. In total 1,304 unique firms received 1,410 grants and loan interventions during the study period. A total of 570 responses were received, inclusive of 487 full and 83 partially complete surveys. The survey includes grantees from the (1) State of North Carolina's Historically Underutilized Business (HUB) Office ReToolNC Program, (2) the City of Raleigh COVID-19 Relief Fund, (3) the City of Durham and Durham County's Recovery Grant Program, (4) the NC IDEA Foundation's Northeastern Rural North Carolina Grant Initiative, and (5) CSBDF's Borrower Grant Program. Additionally, loan recipients were surveyed from the following emergency financing facilities: (1) Mecklenburg County's COVID-19 Fund and its subsequent iteration the (2) MeckLending Loan Program, (3) Golden LEAF's North Carolina Rapid Recovery Program, (4) the City of Durham's Recovery Loan Program, and (5) financing offered by CBSDF from its revolving loan capital during the study period.
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SB: AK: COVID Test/Vaccine: Proof of COVID Vaccination: No data was reported at 83.400 % in 11 Apr 2022. This records an increase from the previous number of 79.700 % for 04 Apr 2022. SB: AK: COVID Test/Vaccine: Proof of COVID Vaccination: No data is updated weekly, averaging 65.600 % from Feb 2021 (Median) to 11 Apr 2022, with 45 observations. The data reached an all-time high of 90.200 % in 05 Jul 2021 and a record low of 65.600 % in 13 Sep 2021. SB: AK: COVID Test/Vaccine: Proof of COVID Vaccination: No data remains active status in CEIC and is reported by U.S. Census Bureau. The data is categorized under Global Database’s United States – Table US.S: Small Business Pulse Survey: by State: West Region: Weekly, Beg Monday (Discontinued).
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TwitterThe Iowa Small Business Relief Program implemented by the Iowa Economic Development Authority provides financial assistance to small businesses that have been impacted by the COVID-19 pandemic. The Program offers eligible small businesses grants ranging from $5,000 to $25,000 and permits the deferral of sales and use or withholding taxes and the waiver of penalty and interest. This reports present information on businesses who have received payments through Small Business Relief Grants funded by the Coronavirus Relief Fund, which was part of the Coronavirus Aid, Relief, and Economic Security (CARES) Act. This data does not include payments from the Iowa's Economic Emergency Fund or the Iowa Values Fund.
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SB: AK: COVID Test/Vaccine: Proof of COVID Vaccination: N/A data was reported at 14.500 % in 28 Mar 2022. This records a decrease from the previous number of 23.100 % for 21 Mar 2022. SB: AK: COVID Test/Vaccine: Proof of COVID Vaccination: N/A data is updated weekly, averaging 18.400 % from Feb 2021 (Median) to 28 Mar 2022, with 19 observations. The data reached an all-time high of 26.000 % in 15 Feb 2021 and a record low of 12.900 % in 31 May 2021. SB: AK: COVID Test/Vaccine: Proof of COVID Vaccination: N/A data remains active status in CEIC and is reported by U.S. Census Bureau. The data is categorized under Global Database’s United States – Table US.S: Small Business Pulse Survey: by State: West Region: Weekly, Beg Monday (Discontinued).
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TwitterThis measure presents the number of small businesses receiving relief payments funded by the Coronavirus Relief Fund money appropriated to Iowa through the Coronavirus Aid, Relief and Economic Security (CARES) Act each week.
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TwitterAdvocacy’s small business lending report examines FDIC data to determine the state of bank lending to small businesses. This report, which analyzes loan data from June 2019 to June 2020, examines the small business lending market at the beginning of the COVID-19 pandemic. Small business loans (loans below $1 million) increased by nearly 40% from 2019 to 2020, largely due to the newly enacted Paycheck Protection Program. Alongside the report, the appendix tables provide bank level detail of small business lending activity and breakdowns at the state level.
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United States SB: COVID-19 Impact: Little or Number Effect data was reported at 29.200 % in 11 Apr 2022. This records an increase from the previous number of 24.900 % for 04 Apr 2022. United States SB: COVID-19 Impact: Little or Number Effect data is updated weekly, averaging 26.550 % from Nov 2020 (Median) to 11 Apr 2022, with 54 observations. The data reached an all-time high of 34.900 % in 20 Dec 2021 and a record low of 17.700 % in 09 Nov 2020. United States SB: COVID-19 Impact: Little or Number Effect data remains active status in CEIC and is reported by U.S. Census Bureau. The data is categorized under Global Database’s United States – Table US.S051: Small Business Pulse Survey: by State: South Region: Weekly, Beg Monday (Discontinued).
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On March 11, 2020, the World Health Organization officially declared SARS-CoV-2 a pandemic, and governments and health institutions enacted various public health measures to decrease its transmission rate. The COVID-19 pandemic made occupational health disparities for small businesses more visible and created an unprecedented financial burden, particularly for those located in communities of color. In part, communities of color experienced disproportionate mortality and morbidity rates from COVID-19 due to their increased exposure. The COVID-19 pandemic has prompted the public to reflect on risks daily. Risk perception is a critical factor influencing how risk gets communicated and perceived by individuals, groups, and communities. This study explores competing risk perceptions regarding COVID-19, economic impacts, vaccination, and disinfectant exposures of workers at beauty salons and auto shops in Tucson, Arizona, using a perceived risk score measured on a scale of 1–10, with higher scores indicating more perceived risk. The primary differences between respondents at beauty salons and auto shops regarding their perceived risks of COVID-19 vaccination were between the vaccinated and unvaccinated. For every group except the unvaccinated, the perceived risk score of getting the COVID-19 vaccine was low, and the score of not getting the COVID-19 vaccine was high. Study participants in different demographic groups ranked economic risk the highest compared to the other five categories: getting the COVID-19 vaccine, not getting the COVID-19 vaccine, COVID-19, disinfection, and general. A meaningful increase of four points in the perceived risk score of not getting the COVID-19 vaccine was associated with a 227% (95% CI: 27%, 740%) increase in the odds of being vaccinated. Analyzing these data collected during the coronavirus pandemic may provide insight into how to promote the health-protective behavior of high-risk workers and employers in the service sector during times of new novel threats (such as a future pandemic or crisis) and how they process competing risks.
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This dataset consolidates public U.S. Small Business Administration (SBA) Economic Injury Disaster Loan (EIDL) data released during the COVID-19 pandemic.
It contains loan-level records issued between April and November 2020, documenting the scale and timing of emergency relief for small businesses across all U.S. states and territories.
The files were retrieved from the SBA’s open-data portal and standardized for analysis in Python (Pandas) and visualization in Tableau.
Fields include: • Loan amount (face value or obligation) • Approval date • State of recipient • Recipient identifier
Analytical use: This data supports exploration of post-COVID economic recovery patterns, showing how federal loan programs helped stabilize small businesses by region and time period.
Source: U.S. Small Business Administration Open Data
Last updated: November 2020
Prepared by: Christopher White (@cwhiteprofessional)
License: U.S. Government Works — This dataset is derived from public SBA data and is not subject to copyright protection under 17 U.S.C. §105. It may be freely reused and shared.
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SBP: CT: COVID-19 Impact: Little or No Effect data was reported at 28.600 % in 04 Oct 2020. This records an increase from the previous number of 28.200 % for 27 Sep 2020. SBP: CT: COVID-19 Impact: Little or No Effect data is updated weekly, averaging 23.600 % from Apr 2020 (Median) to 04 Oct 2020, with 18 observations. The data reached an all-time high of 29.100 % in 20 Sep 2020 and a record low of 12.900 % in 26 Apr 2020. SBP: CT: COVID-19 Impact: Little or No Effect data remains active status in CEIC and is reported by U.S. Census Bureau. The data is categorized under Global Database’s United States – Table US.S036: Small Business Pulse Survey: by Sector: Weekly, Beg Sunday (Discontinued).
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SBP: AF: COVID-19 Impact: Large Negative Effect data was reported at 63.700 % in 04 Oct 2020. This records an increase from the previous number of 63.000 % for 27 Sep 2020. SBP: AF: COVID-19 Impact: Large Negative Effect data is updated weekly, averaging 69.800 % from Apr 2020 (Median) to 04 Oct 2020, with 18 observations. The data reached an all-time high of 83.500 % in 26 Apr 2020 and a record low of 63.000 % in 27 Sep 2020. SBP: AF: COVID-19 Impact: Large Negative Effect data remains active status in CEIC and is reported by U.S. Census Bureau. The data is categorized under Global Database’s United States – Table US.S036: Small Business Pulse Survey: by Sector: Weekly, Beg Sunday (Discontinued).
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TwitterIn the wake of COVID-19 and associated lockdowns, small businesses in every state saw a negative change in their revenues when compared to revenues before the pandemic began. Businesses in states like New York, New Jersey, and Michigan saw some of the ******* declines in revenues. Small businesses in more rural states such as South Dakota, Montana and Nebraska also saw their revenues ******, but **** dramatically then in aforementioned states.