Small Business Research
Contents
- 1 Summary
- 2 The Paper
- 3 The Research
- 3.1 creating basic tables
- 3.2 adding variable where if person is woman, adds value of 1 to their name
- 3.3 for people without a prefix, trying to assign gender variable to them based on list of common names
- 3.4 me playing around, these tables not relevant
- 3.5 assigning variable to titles
- 3.6 massive conglomeration table
- 3.7 tables for percent of women in a given job title
- 3.8 table for finding percentage of women in companies by state
- 3.9 Example output data
- 3.10 still to do:
- 3.11 Small Business Data Sets
- 3.12 Helpful Websites
- 3.13 References
Summary
Small businesses are defined as privately owned and operated companies employing a small number of workers. In the United States, the legal definition of a small business is determined by a set of criterion specified by the Small Business Administration. Small business are pervasive throughout the United States and other countries. Typical examples of a small business include:freight trucking, residential builders, exterior contractors,and architectural contractors[1]. According to the SBA there are approximately 28 million small businesses in the United States that comprise 55% of all US jobs. Furthermore, the number of small businesses in the United States has increased by approximately 49% since 1982.
The Small Business Administration
Created in 1953 as an independent agency of the federal government, the Small Business Administration (SBA) has two strategic goals: first, growing businesses and creating jobs, and second, to serve as the voice for Small Business. SBA claims that the core of their entrepreneurial development is the foundation of targeted, effective advising, training, and mentoring services to drive business. Their entrepreneurial development performance goal focuses on driving greater participation in the resource partner advising and mentoring programs and training courses. The SBA primarily offers a range of financial assistance programs for small businesses that may have trouble qualifying for a traditional bank loan. The SBA guarantees $65 million in loans to small businesses through its two major loan programs, 7(a) and 504. Follow this link for a list of the major SBA Loans. SBA's programs also include financial and federal contract procurement assistance, management assistance, and specialized outreach to women, minorities and armed forces veterans. SBA also provides loans to victims of natural disasters and specialized advice and assistance in international trade. [2]
Survey Respondents on Small Business Issues
| Survey | Date | Labor Markets | Capital | Sales | General Outlook | Data | |
|---|---|---|---|---|---|---|---|
| SBET February 2016 | February 2016 |
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(N=2194, Data was obtained from membership files of the NFIB) | |
| Small Business Owner report |
Fall 2015 |
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(N=1,001 small business owners in
the US with annual revenue $100,000<x<$4,999,999 and employing between 2<x<99 employees) | |
| WellsFargo survey |
January 2016 |
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|
|
|
(N=600 small business owners in Q1 2016) | |
| WSJ survey |
January 2016 |
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| NY Fed Survey |
2014 |
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10 states of coverage: Alabama, Connecticut, Florida, Georgia, Louisiana, New Jersey, New York, Ohio, Pennsylvania, and Tennessee with businesses <500. |
Issues Facing Small Businesses
Health Care
The Patient Protection and Affordable Care Act was passed by Congress and signed into law by President Obama on March 23, 2010. Together with the Health Care and Education Reconciliation Act of 2010, the law completely replaced the existing health care system in the United States, by expanding Medicaid and Medicare, and mandating all individuals to sign up for health insurance coverage through a Qualified Health Plan (QHP's must be offer affordable and comprehensive coverage - either privately or publicly funded). Here is a link to the complete text of the PPACA and the Health Care and Education Reconciliation Act.
One concern with the Patient Protection and Affordable Care Act is that “Obamacare” will kill Small Business [3]. Obamacare's effect on small businesses is not necessarily seen in the abandonment of plans to grow businesses or death of businesses themselves, but rather, in a slowing or halting in hiring, as well as a cut in employees hours. According to a Gallup and Wells Fargo survey of 600 small business owners conducted in 2012, 48% of small business owners point toward "potential healthcare costs" as a reason for not hiring more employees [4].
Still, while the ACA may have caused a slowing or ceasing in small business hiring practices, the exact harm of Obamacare regulations and mandates to small businesses depends heavily on small business size because the effects vary so greatly between firms of different compositions and sizes in their workforces (i.e. number of full time employees, average wages, state of operation).
The SBA has established a summary of size guidelines for small businesses to qualify "as a small business concern for SBA and most other federal programs" [5] (500 employees for mining and manufacturing businesses or an annual receipt of $7.5 million in average annual receipts for non-manufacturing firms), but these small business standards vary between industries. The United States has almost 6 million small businesses that fall under small business size classifications; however, 90% of small businesses employ fewer than 20 people [6]. More precisely, 61% of firms have between 3 and 9 employees, while 98% of firms employ between 3 and 199 employees. [7]
According to the ACA, small businesses with fewer than fifty full-time equivalent employees are exempt from the employer mandate. At the time of the ACA'S enactment in 2012, only 200,000 small businesses would have been affected by the employer mandate, as 96% of the small businesses employed fewer than 50 employees [8].
Furthermore, while the cost of insurance premiums and plans have assuredly risen post-ACA, health insurance premiums have been increasing due to rising health care costs for many years (prior to the act's enactment) [9] [10].
Access to Capital
Since the Great Recession of the late 2000’s, small business owners have encountered difficulties in getting access to capital. This difficulty has a pervasive effect on small business owners’ ability to not only start, but grow. Small business owners have, when surveyed, indicated that sparse access to capital is the primary threat to their operation. Slimming credit availability, rising student debt, and changing landscape in the loaning market have significantly contributed to an industry-wide decline in access to capital for small business.
Student Debt
Rising student debt[11] may be stifling small business growth[12].
- Researchers at the University of Pennsylvania have discovered that start-ups and small businesses account for approximately 60% of net employment activity in the United States.
- According to a Gallup poll conducted in February 2015, one of the biggest hurdles these companies and new entrepreneurs face, is identifying and accessing the capital to finance their ventures.
- Following the financial crisis of 2008, it's no surprise that the top funding source for new business remains the personal savings accounts of founders.[13]
Personal debt therefore, becomes an integral component of the financing equation in starting a small business. The strong negative correlation found in the Pennsylvania study cites student debt as a possible contributor to declining small business growth[14].
Patent Reform
Patent reform has recently emerged as an important issue in the small business space.The current patent system in the United States is facing a fair amount criticism on multiple fronts. Skeptics have argued that the current system is broken as it allows the presence of entities called 'patent trolls'. Trolls manipulate small businesses and extort money through patent litigation. Metrics regarding the prevalence of patent trolls are unclear. Several important pieces of legislation have been proposed to combat these reported patent trolls, as well as a "Prize System for Invention", which rewards innovative companies with monetary prizes instead of patents.
Gender Equality
Women in Entrepreneurship Lit Review
The Paper
Introduction
Over the past century, the United States has witnessed two large-scale social trends involving women in entrepreneurship that have had a significant impact on the country's economic growth. First, huge numbers of women have made their way into the official labor force. Around this time 50 years ago (February 1966), women's labor force participation rate was 39.6%, but in February 2016, 56.8% of women participated in the labor force [15]. This demonstrates substantial growth in women's entry to the labor force. Second, women are achieving a higher degree of education than in years past. As labor market barriers to women have been lowered, the benefits of a college education have grown more for women than men, and females now outpace males in college enrollment. [16] This has provided women with similar access to the same jobs as men.
However, these trends have slowed from their early twenty-first century spikes; room for growth is smaller now than it was before. Economists predict that economic growth from these two trends is unlikely to be repeated to the same magnitude. With this, everyone is looking for the modern-day economy-boosting equivalent to women's entry to the labor force. Given the rising share of women among educated workers, it seems clear that the future of American economic growth is in the hands of women. Encouraging women to enter into fields of entrepreneurship, particularly high-growth entrepreneurship, might be the United States' silver bullet.
This issue brief aims to examine the role of women in entrepreneurship today by examining their jobs (or lack thereof) in entrepreneurship related fields, and examine the effectiveness of current policy related to women in entrepreneurship.
Status Quo
Our research
We examined all leaders in companies from 1980-2016 who have the titles of either chariman, CEO, CFO, COO, CIO, CTO, board member, President, Vice President, Founder, and Director. Of company members with those titles, only 29.8% were women. Of those women leaders, 22% were CEOs, 14% chairwomen, 27% CFOs, 26% COOs, 31% CIOs, 12% CTOs, 25% board members, 20% presidents, 34% vice presidents, 23% founders, and 39% directors. (from tables, PercentWomenXCompany, where X is job title)
Generally, the percentage of women in "leadership roles" in companies has trended upwards since 1980. (from companywomentot table) However, the number of women CEOs over the past two decades has not dramatically increased or decreased, aside from a dramatic upward spike in women CEOs during 2015. (from PercentWomenCEOCompanybyyear table)
Grouped by state, Michigan has highest percentage of women in leadership in its companies, coming in at 37.5%. Texas has 26.6%. Wyoming has a whopping 0%. (from womenstates)
These data show that of the women listed as "Company Executives", only a very small percentage have positions of power. However, this number has grown since 1980, which demonstrates a slow but positive growth of women in executive positions in general.
Info from external sources
Overall, women-owned businesses account for slightly less than 1/3 of all businesses in the United States. At first glance the statistics portray a positive picture for the field's growth: the number of women-owned firms has grown 68 percent since 2007, compared to only 47 percent for all businesses. [17]. However, these women owned businesses are typically only run by the woman herself; among employer firms, women-owned businesses account for only 16% of the total, and their shares of revenue and employees are in the single digits. [18]
The few women in entrepreneurial leadership roles also have to deal with negative societal perceptions of their jobs. According to data from a 2015 Pew Research Center survey, 43% of Americans believe that the U.S. is not prepared to hire women for top-tier executive positions. A relatively smaller, but still significant, number of Americans (23%) believe that women don’t have the time to hold an executive position, given their “family responsibilities”. [19]
The American public's generally negative perception of women in entrepreneurship presents itself institutionally as well. Even though female founders perform equal to or better than their male counterparts when raising money online, only 10 percent of startups which raised Series A last year had female founders. [20] Texas claims the worst record of supporting women seeking venture capital. Last year, 42 Texas startups got Series A rounds, yet not a single startup had female founders. In terms of venture capital structure, ninety-four percent of decision makers at venture capital funds are male, and 90% of today's venture capital funds never see a female founder. Among chief executives of S.&P. 1500 firms, for each woman, there are four men named John, Robert, William or James. [21] But venture capital firms with women partners are more than twice as likely to invest in companies with a woman on the executive team and three times as likely to invest in companies with women CEOs.
Though at first glance women-owned business growth seems striking, the numbers are deceptive in that their shares of revenue and employees are in single digits. Furthermore, women who do go into entrepreneurship face societal disapproval of their actions, with a plurality of Americans believing not only that the country is not prepared to hire women to executive positions, but also that women are incapable of holding these positions due to their family responsibilities. Further, women get start-up capital for their companies 2-3 times as often from women-led VC funds, but only 6% of decision makers at VC funds are women. It's no wonder women are vastly underrepresented in this field.
What women need
Almost half-of female founders (48 percent) cite a lack of available mentors or advisers as holding them back. A third say lack of capital is a constraint. [22]
Relevant policy
The Obama administration recognized the importance of expanding the role that women-owned businesses play in the national economy. Some of his initiatives include increasing access to capital, incentivizing small business growth and hiring, encouraging women owned business competition for government contracts, and enhancing long term survival of women owned businesses. Two primary pieces of legislation have bolstered the limited growth that the United States has seen in the field of women entrepreneurs, The Small Business Jobs Act of 2010 and the Women’s Equity in Contracting Act. Both of these seek to help businesses headed up by women win more government contracts.
The president has worked on increasing small business access to capital through the Recovery Act and the Small Business Jobs Act. Through this act, the president has reformed SBA lending practices and built on existing infrastructure. SBA loans are 3-5x more likely to go to women and minorities than traditional business loans. Over 12,000 SBA Recovery loans have gone to women-owned small businesses, totaling more than $3 billion. [23] The president has also increased tax cuts with the aim of helping small businesses invest in their firms and create jobs. Specific to women, the SBA opened several new Women's Business Centers in 2009 and 2010, bringing their total to 114.
Jessica Milli, senior research associate at the Institute of Women’s Policy Research, said things like the Jobs Act and SBA's programs for women "really aim to put women-owned businesses...at a competitive advantage. (They) restrict competition, which has really helped to boost revenues and help more businesses get into the industry.” But such policies can’t, and haven't, solved all the challenges inherent to being a female entrepreneur. Even with targeted legislation, women business owners still face a significant wage gap and continually have smaller amounts of start-up capital than their male peers.
Conclusion
As women's prevalence in the United States workforce has increased, the United States has experienced an economic boom. However, women's numbers are still small in entrepreneurial fields, and even more microscopic in leadership positions in those fields. Current policy fails because it doesn't properly address women's lack of access to capital and mentorship. Moving forward, the United States must seek strategies to incentivize more women to enter the entrepreneurial workforce.
The Research
- SQL info can also be found on researcher@128.42.44.181 in the Women folder. Called "women.sql".
creating basic tables
DROP TABLE companyreal; CREATE TABLE companyreal( datefounded date, companyname varchar(100), prefix varchar(5), firstname varchar(100), lastname varchar(100), jobtitle varchar(100), companystate varchar(100), companycity varchar(100), industrygroup varchar(100), amtinvestedthous float, rounds int );
\COPY companyreal FROM 'womencompanieslast-normal.txt' WITH DELIMITER AS E'\t' HEADER NULL AS CSV --129536
DROP TABLE fundreal; CREATE TABLE fundreal( datefounded date, fundname varchar(100), prefix varchar(5), firstname varchar(100), lastname varchar(100), jobtitle varchar(100), fundstate varchar(100), fundcity varchar(100), fundtargetsizemil float, firmname varchar(100) );
\COPY fundreal FROM 'womenfundslast-normal.txt' WITH DELIMITER AS E'\t' HEADER NULL AS CSV --156005
adding variable where if person is woman, adds value of 1 to their name
DROP TABLE manwomanfund; CREATE TABLE manwomanfund AS SELECT prefix, lastname, datefounded, jobtitle, fundname, fundcity, fundstate, removeinitial(firstname) as firstname, CASE WHEN prefix='Ms' THEN 1::int WHEN prefix='Mr' THEN 0::int ELSE Null::int END AS womanman FROM fundreal; --156005
DROP TABLE manwomancompany; CREATE TABLE manwomancompany AS SELECT prefix, lastname, datefounded, jobtitle, companyname, companycity, companystate, industrygroup, removeinitial(firstname) as firstname, amtinvestedthous, rounds, CASE WHEN prefix='Ms' THEN 1::int WHEN prefix='Mr' THEN 0::int ELSE Null::int END AS womanman FROM companyreal; --129536
for people without a prefix, trying to assign gender variable to them based on list of common names
DROP TABLE manwomanfund2; CREATE TABLE manwomanfund2 AS SELECT datefounded, prefix, firstname, lastname, fundname, jobtitle, womanman AS origwomanman, mf, fundcity, fundstate, CASE WHEN womanman IS NULL AND mf IS NOT NULL THEN mf WHEN womanman IS NOT NULL THEN womanman ELSE NULL::int END AS womanman FROM manwomanfund LEFT JOIN commonnamesclean ON firstname = name WHERE firstname IS NOT NULL; --152819
DROP TABLE manwomancompany2; CREATE TABLE manwomancompany2 AS SELECT datefounded, prefix, firstname, lastname, companyname, jobtitle, womanman AS origwomanman, mf, companycity, companystate, industrygroup, rounds, amtinvestedthous, CASE WHEN womanman IS NULL AND mf IS NOT NULL THEN mf WHEN womanman IS NOT NULL THEN womanman ELSE NULL::int END AS womanman FROM manwomancompany LEFT JOIN commonnamesclean ON lower(firstname) = lower(name) WHERE firstname IS NOT NULL; --123278
--%, state, city, round no
me playing around, these tables not relevant
DROP TABLE fundWomenCEOs; CREATE TABLE fundwomentot AS SELECT EXTRACT(YEAR FROM datefounded), AVG(womanman) AS PercentWomen FROM manwomanfund2 GROUP BY EXTRACT(YEAR FROM datefounded); --37
DROP TABLE companyWomen; CREATE TABLE companywomentot AS SELECT EXTRACT(YEAR FROM datefounded), AVG(womanman) AS PercentWomen FROM manwomancompany2 GROUP BY EXTRACT(YEAR FROM datefounded); --36
DROP TABLE womencompanystate; CREATE TABLE womencompanystate AS SELECT companystate, AVG(womanman) AS WomenPerState FROM manwomancompany2 GROUP BY companystate; --51
DROP TABLE womenfundstate; CREATE TABLE womencfundstate AS SELECT fundstate, AVG(womanman) AS WomenPerState FROM manwomanfund2 GROUP BY fundstate; --51
DROP TABLE womencompanycity; CREATE TABLE womencompanycity AS SELECT companycity, AVG(womanman) AS WomenPerCity FROM manwomancompany2 GROUP BY companycity;
assigning variable to titles
DROP TABLE titles01; CREATE TABLE titles01( title varchar(100), chairman int, CEO int, CFO int, COO int, CIO int, CTO int, boardmember int, president int, vicepresident int, founder int, director int );
\COPY titles01 FROM 'impotitleslast.txt' WITH DELIMITER AS E'\t' HEADER NULL AS CSV
DROP TABLE title02;
massive conglomeration table
DROP TABLE ManWomanCompany3; CREATE TABLE ManWomanCompany3 AS SELECT Manwomancompany2.*, CASE WHEN chairman IS NOT NULL THEN 1::int ELSE 0::int END AS chairman, CASE WHEN CEO IS NOT NULL THEN 1::int ELSE 0::int END AS CEO, CASE WHEN CFO IS NOT NULL THEN 1::int ELSE 0::int END AS CFO, CASE WHEN COO IS NOT NULL THEN 1::int ELSE 0::int END AS COO, CASE WHEN CIO IS NOT NULL THEN 1::int ELSE 0::int END AS CIO, CASE WHEN CTO IS NOT NULL THEN 1::int ELSE 0::int END AS CTO, CASE WHEN boardmember IS NOT NULL THEN 1::int ELSE 0::int END AS boardmember, CASE WHEN president IS NOT NULL THEN 1::int ELSE 0::int END AS president, CASE WHEN vicepresident IS NOT NULL THEN 1::int ELSE 0::int END AS vicepresident, CASE WHEN founder IS NOT NULL THEN 1::int ELSE 0::int END AS founder, CASE WHEN director IS NOT NULL THEN 1::int ELSE 0::int END AS director FROM ManwomanCompany2 LEFT JOIN titles01 ON manwomancompany2.jobtitle=titles01.title;
tables for percent of women in a given job title
DROP TABLE PercentWomenCompany; CREATE TABLE PercentWomenCompany AS SELECT sum(mf)/count(mf) FROM ManWomanCompany3; --.29812
DROP TABLE PercentWomenCEOsCompany; CREATE TABLE PercentWomenCEOsCompany AS SELECT sum(mf)/count(mf) FROM ManWomanCompany3 WHERE ceo = 1; --.22597
DROP TABLE PercentWomenChairmanCompany; CREATE TABLE PercentWomenChairmanCompany AS SELECT sum(mf)/count(mf) FROM ManWomanCompany3 WHERE chairman = 1; --.142417
DROP TABLE PercentWomenCFOCompany; CREATE TABLE PercentWomenCFOCompany AS SELECT sum(mf)/count(mf) FROM ManWomanCompany3 WHERE cfo = 1; --.27087
DROP TABLE PercentWomenCOOCompany; CREATE TABLE PercentWomenCOOCompany AS SELECT sum(mf)/count(mf) FROM ManWomanCompany3 WHERE coo = 1; --.26353
DROP TABLE PercentWomenCIOCompany; CREATE TABLE PercentWomenCIOCompany AS SELECT sum(mf)/count(mf) FROM ManWomanCompany3 WHERE cio = 1; --.31707
DROP TABLE PercentWomenCTOCompany; CREATE TABLE PercentWomenCTOCompany AS SELECT sum(mf)/count(mf) FROM ManWomanCompany3 WHERE cto = 1; --.12588
DROP TABLE PercentWomenboardmemberCompany; CREATE TABLE PercentWomenboardmemberCompany AS SELECT sum(mf)/count(mf) FROM ManWomanCompany3 WHERE boardmember = 1; --.2545
DROP TABLE PercentWomenPresidentCompany; CREATE TABLE PercentWomenPresidentCompany AS SELECT sum(mf)/count(mf) FROM ManWomanCompany3 WHERE president = 1; --.19646
DROP TABLE PercentWomenVPCompany; CREATE TABLE PercentWomenVPCompany AS SELECT sum(mf)/count(mf) FROM ManWomanCompany3 WHERE vicepresident = 1; --.3468
DROP TABLE PercentWomenfounderCompany; CREATE TABLE PercentWomenfounderCompany AS SELECT sum(mf)/count(mf) FROM ManWomanCompany3 WHERE founder = 1; --.2394
DROP TABLE PercentWomendirectorCompany; CREATE TABLE PercentWomendirectorCompany AS SELECT sum(mf)/count(mf) FROM ManWomanCompany3 WHERE director = 1; --.38625
table for finding percentage of women in companies by state
DROP TABLE womenstates; CREATE TABLE womenstates AS SELECT companystate, sum(mf)/count(mf) FROM ManWomanCompany3 GROUP BY companystate;
Example output data
Year CEOs Founders Start-ups Partners FundExecs ------------------------------------------------------------- 1980 2% 2% 4% 1% 2% 1981 ...
- Table on money raised?
- Data on likelihood of follow-on round
still to do:
- this data still discounts a (small) percentage of data (doctors who didn't have a common name)
- have data organized, now we need to figure out how to extract it in meaningful terms for the report.
Small Business Data Sets
| Name | Link | Description | Data Summary | |
|---|---|---|---|---|
| Dynamic Small Business Search | http://dsbs.sba.gov/dsbs/search/dsp_dsbs.cfm | The Small Business Administration maintains the Dynamic Small Business Search (DSBS) database. As a small business registers in the System for Award Management, there is an opportunity to fill out the small business profile. The information provided populates DSBS. DSBS is another tool contracting officers use to identify potential small business contractors for upcoming contracting opportunities. Small businesses can also use DSBS to identify other small businesses for teaming and joint venturing. | ||
| Office of Advocacy News | https://www.sba.gov/advocacy | The News Update File is an xml news update file to inform the public about recent regulatory alerts, Advocacy small business statistics reports, Advocacy small business research reports, and Advocacy regulatory comment letters. | ||
| State Licenses & Permits | Identifies the specific licenses or permits a business may need depending on the type of business, its location, and applicable government rules. | |||
| FDIC | https://www5.fdic.gov/qbp/index.asp | Private sector loans to small businesses | ||
| World Bank | http://www.doingbusiness.org | The World Bank’s Doing Business series, dating to 2001, is an annual compendium and international ranking of regulatory measures impacting small business, such as the number of days it takes to legally register a business. Different aspects appear each year. | Doing Business offers economic data from 2003 to the present. The data is presented in a variety of ways useful to researchers, policy makers, journalists and others | |
| Kauffman Foundation | http://www.kauffman.org/section.aspx?id=research_and_policy | Studies and data on small business and entrepreneurship | ||
| Warrington College of Business | https://site.warrington.ufl.edu/ritter/ipo-data/ | IPO data | Up to date information on IPO's including: Underpricing, tech stocks, age, price revisions, sales, underwriting, foreign, long run returns, VC-backed IPOs from late 1900s - 2015 | |
| Bureau of Labor Statistics | http://www.bls.gov/bdm/ | Highlights from data series produced by BLS Business Employment Dynamics (BED) program provide some insights on the contribution of new and small businesses to the number of businesses and jobs in the economy. | Set of statistics generated from the Quarterly Census of Employment and Wages program. These quarterly data series consist of gross job gains and gross job losses statistics from 1992 forward. | |
| Federal Procurement Data System | https://www.fpds.gov/fpdsng_cms/index.php/en/reports | A Department level report that displays Small Business data for a specified date range by Funding/Contracting Agency. | This report displays the dollars, actions, and percentages for small business contracts in FY 2016 and goes back all the way to FY 1981 | |
| PayNet small Business Lending Index | http://www.paynetonline.com/issues-and-solutions/all-paynet-products/small-business-lending-index-sbli/ | PayNet specializes in loan data and has a database which includes information on more than 20 million loans and leases. For these indexes, PayNet uses the data from US companies which have less than $1 million in total outstanding loans. | The Small Business Lending Index (SBLI) measure the volume of small business loans issued over the past 30 days and are based on the most recent data from the largest commercial and industrial lenders in PayNet's U.S. database, including both loans and leases. | |
| Paychex | http://www.paychex.com/jobs-index/index.aspx | Paychex tracks changes in the employment levels of 350K small businesses with <50 employees | The data for the jobs index comes from a subset of the Paychex client base, approximately 350,000 businesses with less than 50 workers in the U.S | |
| ADP small business report | http://www.adpemploymentreport.com/2015/March/SBS/SBS-NER-March-2015.aspx | The ADP Small Business Report provides the number of jobs created or lost by company size (1-19 employees, 20-49) and sector (goods or services). A seperate report details job gains and losses for national franchises. | The ADP National Employment Report® is published monthly by the ADP Research Institute® in close collaboration with Moody’s Analytics and its experienced team of labor market researchers. The ADP National Employment Report provides a monthly snapshot of U.S. nonfarm private sector employment based on actual transactional payroll data. | |
| Intuit Small Business Index | http://www.intuit.com/company/press-room/press-releases/2015/Small-Business-Employment-Remained-Stagnant-in-October1/ | The index measures compensation, hours worked, and revenue for companies with <20 employees | The Employment Index is based on anonymized, non-identifiable aggregated data from 271,750 small business employers, a subset of users of Intuit Online Payroll and QuickBooks Online. The Revenue Index is based on anonymized, non-identifiable aggregated data from 240,000 small businesses, a subset of users of Intuit’s QuickBooks Online with industry identification from Dun & Bradstreet. | |
| Statistic Brain | http://www.statisticbrain.com/startup-failure-by-industry/ | Startup Business Failure rates by industry | ||
| The National Venture Capital Association Yearbook | http://nvca.org/research/stats-studies/ | Details the state of the venture capital market in a given year | Primary data sources included:SEC filings that are regularly monitored by Thomson Reuters’ research staff, Surveys of the industry routinely conducted by Thomson Reuters, and Verified industry press and press releases from venture firms. | |
| NFIB Small Business Report | http://www.nfib.com/surveys/small-business-economic-trends/ | Measures economic trends in small businesses | The NFIB Research Foundation has collected Small Business Economic Trends data with quarterly surveys since the 4th quarter of 1973 and monthly surveys since 1986. Survey respondents are drawn from NFIB’s membership. The report is released on the second Tuesday of each month. This survey was conducted in March 2016. | |
| Medical Expenditure Panel Survey | http://meps.ahrq.gov/mepsweb/ | A set of large-scale surveys of families and individuals, their medical providers, and employers across the United States. MEPS is the most complete source of data on the cost and use of health care and health insurance coverage | The Household Component data are based on questionnaires fielded to individual household members and their medical providers. The Insurance Component estimates come from a survey of employers conducted to collect health insurance plan information | |
| SBA Lenders | https://www.sba.gov/lenders-top-100 | SBA lending data | Table displaying the 100 most active SBA 7a lenders in the US by lending volume in FY 2016 through Q2 | |
| Kaiser Family Foundation | http://kff.org/health-costs/report/2015-employer-health-benefits-survey/ | Annual Survey of employers providing a detailed look at trends in employer-sponsored health coverage | The 2015 survey included almost 2,000 interviews with non-federal public and private firms. | |
| Federal Reserve | http://www.federalreserve.gov/communitydev/small-businesses-data-analysis.htm | Many Reserve Banks monitor trends and credit market conditions for small and new businesses. The polling efforts of the Federal Reserve Banks of New York and Atlanta are two examples of System work to better understand small business trends | The SBCS captures the perspectives of businesses with fewer than 500 employees in New York, New Jersey, Connecticut, and Pennsylvania. There were 835 responses to the survey fielded from April 3, 2014 to June 20, 2014. The Atlanta Fed conducted the first-quarter 2014 survey during the first four weeks of April. The survey was completed by 562 respondents | |
| Entrepeneur.com report | https://www.entrepreneur.com/page/216022 | Comprehensive statistics on small business trends in the United States for various years | ||
| United States Census Bureau | https://www.census.gov/econ/sbo/getdata.html | Statistics for Owner's of Small businesses in 2012 | 1.75 million businesses were selected for the survey. Survey included are all nonfarm businesses filing Internal Revenue Service tax forms as individual proprietorships, partnerships, or any type of corporation, and with receipts of $1,000 or more. | |
| Small Business Dashboard | http://smallbusiness.data.gov/ | Information on small business contracting activities | ncludes procurement contract transactions reported directly through the contract writing systems of approximately 65 U.S. Government, Executive Branch, departments, bureaus, agencies, and commissions
Data spans contract transactions from FY 2000 onwards SmallBusinessDashboard.gov is updated with FPDS-NG data on a daily basis | |
| 411 Small Business Facts | http://www.411sbfacts.com/ | Sortable database of over 60 separate small business surveys | 411SmallBusinessFacts.com is a searchable data base of approximately 2,000 facts about American small businesses and their owners (or managers) produced by the NFIB Research Foundation. The Foundation developed this information from telephone surveys of small employers – those employing from one person in addition to the owner(s) to 250. Data collection began in 2001 and continues through the present. | |
| Survey of Minority Owned Businesses | http://www.mbda.gov/sites/default/files/2012SBO_MBEFactSheet020216.pdf | Data set attempting to give a comprehensive outlook to the state of minority business enterprises in the US | Minority owned business fact sheet created in January 2016 | |
| NASE | http://www.nase.org/ | A trade association that provides day-to-day support for micro-businesses, including direct access to experts, benefits, and consolidated buying power that is traditionally only available to large corporations. The association is the largest nonprofit, nonpartisan association of its kind in the United States. | Presents statistics and facts on self employed members of the US economy from the 1990's to the late 2000s | |
| Federal Reserve board | https://www.federalreserve.gov/pubs/oss/oss3/nssbftoc.htm | Federal reserve board survey of small business finances | Balance sheets of the firm are some examples of the types of information collected. Working papers and methodology reports, codebooks and other related documentation, and the full public data sets are available here for the 2003, 1998, 1993, and 1987 SSBFs | |
Helpful Websites
- The Small Business Administration: https://www.sba.gov/
- The Federal Reserve Board Survey of Small Business Finances: http://www.federalreserve.gov/pubs/oss/oss3/nssbftoc.htm
- Trends in Small Business: http://smallbiztrends.com/
- Growthology (Kauffman) : http://www.kauffman.org/blogs/growthology
References
1. http://www.gallup.com/businessjournal/186179/student-loan-debt-major-barrier-entrepreneurship.aspx
2. http://www.entrepreneur.com/article/237926
3. http://papers.ssrn.com/sol3/papers.cfm?abstract_id=2417676
4. http://www.gallup.com/businessjournal/181592/potential-entrepreneurs-aren-taking-plunge.aspx
