Difference between revisions of "Small Business Data"

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{{Project
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|Has project output=Data,Content,How-to,Guide
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|Has sponsor=McNair Center
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|Has title=Small Business Data
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|Has owner=Dylan Dickens,
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|Has project status=Complete
 +
|Has keywords=Data
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}}
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 +
=='''Small Business Data Sets'''==
 +
{| class="wikitable sortable" style="width: 100%;"
 +
|-
 +
! style="width: 10%;" | Name
 +
! style="width: 10%;" | Link
 +
! style="width: 45%;" | Description
 +
! style="width: 35%;" | 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.
 +
 +
[[Category:Small Business]]
 +
|-
 +
|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
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|https://www5.fdic.gov/qbp/index.asp
 +
|Private sector loans to small businesses
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|-
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|World Bank
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|http://www.doingbusiness.org
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|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
 +
|-
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|Warrington College of Business
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|https://site.warrington.ufl.edu/ritter/ipo-data/
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|IPO data
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|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.
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|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.
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|-
 +
|Paychex
 +
|http://www.paychex.com/jobs-index/index.aspx
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|Paychex tracks changes in the employment levels of 350K small businesses with <50 employees
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|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
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|-
 +
|ADP small business report
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|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/
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|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
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|
 +
|-
 +
|The National Venture Capital Association Yearbook
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|http://nvca.org/research/stats-studies/
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|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/
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|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
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|-
 +
|SBA Lenders
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|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/
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|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
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|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
 +
|-
 +
|
 +
|}
 +
 
=='''Survey Respondents on Small Business Issues'''==
 
=='''Survey Respondents on Small Business Issues'''==
 
{| class="wikitable sortable" style="width: 100%;"
 
{| class="wikitable sortable" style="width: 100%;"
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|
 
|
 
|}
 
|}
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+
 
 +
=='''Holy Grail FDIC Data'''==
 +
https://www5.fdic.gov/sdi/main.asp
 +
 
 +
=='''Minorities in Small Business'''==
 +
 
 +
=='''Council of Economic Advisers'''==
 +
{| class="wikitable"
 +
! Year
 +
! Expert?
 +
! Name
 +
! Field of Expert
 +
! CEA Size
 +
! Percent
 +
! Grade
 +
!
 +
|-
 +
| 1979
 +
| 0
 +
| -
 +
| -
 +
| 13
 +
| 0.00%
 +
| F
 +
|
 +
|-
 +
| 1980
 +
| 0
 +
| -
 +
| -
 +
| 15
 +
| 0.00%
 +
| F
 +
|
 +
|-
 +
| 1981
 +
| 0
 +
| -
 +
| -
 +
| 16
 +
| 0.00%
 +
| F
 +
|
 +
|-
 +
| 1982
 +
| 0
 +
| -
 +
| -
 +
| 15
 +
| 0.00%
 +
| F
 +
|
 +
|-
 +
| 1983
 +
| 0
 +
| -
 +
| -
 +
| 15
 +
| 0.00%
 +
| F
 +
|
 +
|-
 +
| 1984
 +
| 0
 +
| -
 +
| -
 +
| 12
 +
| 0.00%
 +
| F
 +
|
 +
|-
 +
| 1985
 +
| 0
 +
| -
 +
| -
 +
| 14
 +
| 0.00%
 +
| F
 +
|
 +
|-
 +
| 1986
 +
| 0
 +
| -
 +
| -
 +
| 15
 +
| 0.00%
 +
| F
 +
| *junior staff with IO and Finance Darrel L. Williams
 +
|-
 +
| 1987
 +
| 0
 +
| -
 +
| -
 +
| 12
 +
| 0.00%
 +
| F
 +
| *junior staff with IO, Regulation and Finance Randall S. Kroszner
 +
|-
 +
| 1988
 +
| 0
 +
| -
 +
| -
 +
| 13
 +
| 0.00%
 +
| F
 +
|
 +
|-
 +
| 1989
 +
| 0
 +
| -
 +
| -
 +
| 13
 +
| 0.00%
 +
| F
 +
|
 +
|-
 +
| 1990
 +
| 1
 +
| Adam B. Jaffe
 +
| Regulation, Energy, and R&D
 +
| 13
 +
| 7.69%
 +
| A
 +
|
 +
|-
 +
| 1991
 +
| 0
 +
| -
 +
| -
 +
|
 +
| 0.00%
 +
| F
 +
|
 +
|-
 +
| 1992
 +
| 0
 +
| Andrew S. Joskow
 +
| Regulation, Energy, and Industrial Organization
 +
| 13
 +
| 0.00%
 +
| B
 +
|
 +
|-
 +
| 1993
 +
| 0
 +
| Jonathan B. Baker
 +
| Regulation, Industrial Organization, and Law
 +
| 16
 +
| 0.00%
 +
| B
 +
|
 +
|-
 +
| 1994
 +
| 0
 +
| Jonathan B. Baker
 +
| Regulation, Industrial Organization, and Law
 +
| 15
 +
| 0.00%
 +
| B
 +
|
 +
|-
 +
| 1995
 +
| 0
 +
| Marius Schwartz
 +
| Regulation, Industrial Organization, and Antitrust
 +
| 15
 +
| 0.00%
 +
| B
 +
|
 +
|-
 +
| 1996
 +
| 0
 +
| Timothy J. Brennan
 +
| Regulation, Industrial Organization, and Antitrust
 +
| 13
 +
| 0.00%
 +
| B
 +
|
 +
|-
 +
| 1997
 +
| 0
 +
| Aaron S. Edlin
 +
| Regulation, Industrial Organization, and Antitrust
 +
| 13
 +
| 0.00%
 +
| B
 +
|
 +
|-
 +
| 1998
 +
| 0
 +
| Howard A. Shelanski
 +
| Regulation, Industrial Organization, and Antitrust
 +
| 11
 +
| 0.00%
 +
| B
 +
|
 +
|-
 +
| 1999
 +
| 0
 +
| William H. Gillespie
 +
| Industrial Organization
 +
| 12
 +
| 0.00%
 +
| B
 +
|
 +
|-
 +
| 2000
 +
| 0
 +
| Peter G. Klein
 +
| Industrial Organization
 +
| 11
 +
| 0.00%
 +
| B
 +
|
 +
|-
 +
| 2001
 +
| 0
 +
| -
 +
| -
 +
| 11
 +
| 0.00%
 +
| F
 +
|
 +
|-
 +
| 2002
 +
| 0
 +
| Cindy R. Alexander
 +
| Industrial Organization, Corporate Finance, and Regulation
 +
| 11
 +
| 0.00%
 +
| B
 +
|
 +
|-
 +
| 2003
 +
| 0
 +
| -
 +
| -
 +
| 11
 +
| 0.00%
 +
| F
 +
|
 +
|-
 +
| 2004
 +
| 0
 +
| -
 +
| -
 +
| 11
 +
| 0.00%
 +
| F
 +
|
 +
|-
 +
| 2005
 +
| 0
 +
| -
 +
| -
 +
| 12
 +
| 0.00%
 +
| F
 +
|
 +
|-
 +
| 2006
 +
| 0
 +
| Kristin McCue
 +
| Labor, Small Business, and Economic Development
 +
| 11
 +
| 0.00%
 +
| B
 +
|
 +
|-
 +
| 2007
 +
| 0
 +
| John Stevens
 +
| Macroeconomics, Labor, Small Business
 +
| 11
 +
| 0.00%
 +
| B
 +
|
 +
|-
 +
| 2008
 +
| 0
 +
| -
 +
| -
 +
| 11
 +
| 0.00%
 +
| F
 +
|
 +
|-
 +
| 2009
 +
| 0
 +
| -
 +
| -
 +
| 9
 +
| 0.00%
 +
| F
 +
|
 +
|-
 +
| 2010
 +
| 1
 +
| Ronnie Chatterji
 +
| Entrepreneurship and Innovation
 +
| 10
 +
| 10.00%
 +
| A
 +
|
 +
|-
 +
| 2011
 +
| 2
 +
| Lee G. Bransetter; Lisa D. Cook
 +
| International Trade and Investment, Innovation, and Manufacturing; International Finance, Entrepreneurship, Innovation and Development
 +
| 11
 +
| 18.18%
 +
| A
 +
|
 +
|-
 +
| 2012
 +
| 1
 +
| Susan Helper
 +
| Manufacturing, Innovation, Small Business
 +
| 11
 +
| 9.09%
 +
| A
 +
|
 +
|-
 +
| 2013
 +
| 0
 +
| David Balan
 +
| Industrial Organization, Technology, Health
 +
| 12
 +
| 0.00%
 +
| B
 +
|
 +
|-
 +
| 2014
 +
| 1
 +
| Timothy Simcoe
 +
| Innovation, Technology, Industrial Organization
 +
| 11
 +
| 9.09%
 +
| A
 +
|
 +
|-
 +
| 2015
 +
| 1
 +
| Robert C. Seamans
 +
| Innovation, Technology, Industrial Organization
 +
| 11
 +
| 9.09%
 +
| A
 +
|
 +
|-
 +
| 2016
 +
| 1
 +
| Victor Bennet
 +
| Innovation, Technology, Industrial Organization
 +
| 13
 +
| 7.69%
 +
| A
 +
|
 +
|}
 +
 
 +
=='''Firm Size & Employment'''==
 +
Holy Grail Data: https://www.sba.gov/advocacy/firm-size-data
 +
Inside E\McNair\Projects\Small Business as SBA Industry and Firm Size Statistics
 +
 
 +
=='''Firm Births & Deaths'''==
 +
{| class="wikitable"
 +
! colspan="3" | Quarterly Establishment Births and Deaths, 1993-2015
 +
|-
 +
| Quarter
 +
| Births
 +
| Deaths
 +
|-
 +
| Mar-93
 +
| -
 +
| 167,000
 +
|-
 +
| Jun-93
 +
| 181,000
 +
| 160,000
 +
|-
 +
| Sep-93
 +
| 191,000
 +
| 148,000
 +
|-
 +
| Dec-93
 +
| 182,000
 +
| 154,000
 +
|-
 +
| Mar-94
 +
| 185,000
 +
| 164,000
 +
|-
 +
| Jun-94
 +
| 196,000
 +
| 162,000
 +
|-
 +
| Sep-94
 +
| 201,000
 +
| 156,000
 +
|-
 +
| Dec-94
 +
| 192,000
 +
| 174,000
 +
|-
 +
| Mar-95
 +
| 197,000
 +
| 161,000
 +
|-
 +
| Jun-95
 +
| 193,000
 +
| 167,000
 +
|-
 +
| Sep-95
 +
| 193,000
 +
| 168,000
 +
|-
 +
| Dec-95
 +
| 195,000
 +
| 174,000
 +
|-
 +
| Mar-96
 +
| 204,000
 +
| 173,000
 +
|-
 +
| Jun-96
 +
| 198,000
 +
| 171,000
 +
|-
 +
| Sep-96
 +
| 205,000
 +
| 174,000
 +
|-
 +
| Dec-96
 +
| 216,000
 +
| 175,000
 +
|-
 +
| Mar-97
 +
| 211,000
 +
| 180,000
 +
|-
 +
| Jun-97
 +
| 210,000
 +
| 175,000
 +
|-
 +
| Sep-97
 +
| 207,000
 +
| 173,000
 +
|-
 +
| Dec-97
 +
| 200,000
 +
| 189,000
 +
|-
 +
| Mar-98
 +
| 222,000
 +
| 186,000
 +
|-
 +
| Jun-98
 +
| 226,000
 +
| 173,000
 +
|-
 +
| Sep-98
 +
| 209,000
 +
| 185,000
 +
|-
 +
| Dec-98
 +
| 203,000
 +
| 188,000
 +
|-
 +
| Mar-99
 +
| 213,000
 +
| 194,000
 +
|-
 +
| Jun-99
 +
| 219,000
 +
| 192,000
 +
|-
 +
| Sep-99
 +
| 209,000
 +
| 194,000
 +
|-
 +
| Dec-99
 +
| 224,000
 +
| 189,000
 +
|-
 +
| Mar-00
 +
| 227,000
 +
| 196,000
 +
|-
 +
| Jun-00
 +
| 218,000
 +
| 189,000
 +
|-
 +
| Sep-00
 +
| 222,000
 +
| 209,000
 +
|-
 +
| Dec-00
 +
| 215,000
 +
| 204,000
 +
|-
 +
| 1-Mar
 +
| 220,000
 +
| 214,000
 +
|-
 +
| 1-Jun
 +
| 217,000
 +
| 212,000
 +
|-
 +
| 1-Sep
 +
| 218,000
 +
| 219,000
 +
|-
 +
| 1-Dec
 +
| 209,000
 +
| 208,000
 +
|-
 +
| 2-Mar
 +
| 219,000
 +
| 199,000
 +
|-
 +
| 2-Jun
 +
| 228,000
 +
| 196,000
 +
|-
 +
| 2-Sep
 +
| 217,000
 +
| 193,000
 +
|-
 +
| 2-Dec
 +
| 216,000
 +
| 200,000
 +
|-
 +
| 3-Mar
 +
| 215,000
 +
| 194,000
 +
|-
 +
| 3-Jun
 +
| 212,000
 +
| 194,000
 +
|-
 +
| 3-Sep
 +
| 210,000
 +
| 191,000
 +
|-
 +
| 3-Dec
 +
| 218,000
 +
| 191,000
 +
|-
 +
| 4-Mar
 +
| 222,000
 +
| 193,000
 +
|-
 +
| 4-Jun
 +
| 218,000
 +
| 196,000
 +
|-
 +
| 4-Sep
 +
| 224,000
 +
| 196,000
 +
|-
 +
| 4-Dec
 +
| 226,000
 +
| 191,000
 +
|-
 +
| 5-Mar
 +
| 227,000
 +
| 196,000
 +
|-
 +
| 5-Jun
 +
| 232,000
 +
| 192,000
 +
|-
 +
| 5-Sep
 +
| 236,000
 +
| 195,000
 +
|-
 +
| 5-Dec
 +
| 236,000
 +
| 200,000
 +
|-
 +
| 6-Mar
 +
| 236,000
 +
| 195,000
 +
|-
 +
| 6-Jun
 +
| 233,000
 +
| 206,000
 +
|-
 +
| 6-Sep
 +
| 224,000
 +
| 210,000
 +
|-
 +
| 6-Dec
 +
| 236,000
 +
| 207,000
 +
|-
 +
| 7-Mar
 +
| 232,000
 +
| 205,000
 +
|-
 +
| 7-Jun
 +
| 225,000
 +
| 215,000
 +
|-
 +
| 7-Sep
 +
| 233,000
 +
| 216,000
 +
|-
 +
| 7-Dec
 +
| 228,000
 +
| 218,000
 +
|-
 +
| 8-Mar
 +
| 226,000
 +
| 224,000
 +
|-
 +
| 8-Jun
 +
| 221,000
 +
| 238,000
 +
|-
 +
| 8-Sep
 +
| 216,000
 +
| 233,000
 +
|-
 +
| 8-Dec
 +
| 211,000
 +
| 253,000
 +
|-
 +
| 9-Mar
 +
| 197,000
 +
| 247,000
 +
|-
 +
| 9-Jun
 +
| 201,000
 +
| 238,000
 +
|-
 +
| 9-Sep
 +
| 192,000
 +
| 227,000
 +
|-
 +
| 9-Dec
 +
| 202,000
 +
| 218,000
 +
|-
 +
| 10-Mar
 +
| 193,000
 +
| 211,000
 +
|-
 +
| 10-Jun
 +
| 193,000
 +
| 202,000
 +
|-
 +
| 10-Sep
 +
| 207,000
 +
| 204,000
 +
|-
 +
| 10-Dec
 +
| 216,000
 +
| 201,000
 +
|-
 +
| 11-Mar
 +
| 204,000
 +
| 200,000
 +
|-
 +
| 11-Jun
 +
| 210,000
 +
| 206,000
 +
|-
 +
| 11-Sep
 +
| 205,000
 +
| 196,000
 +
|-
 +
| 11-Dec
 +
| 214,000
 +
| 198,000
 +
|-
 +
| 12-Mar
 +
| 237,000
 +
| 187,000
 +
|-
 +
| 12-Jun
 +
| 216,000
 +
| 195,000
 +
|-
 +
| 12-Sep
 +
| 211,000
 +
| 196,000
 +
|-
 +
| 12-Dec
 +
| 218,000
 +
| 183,000
 +
|-
 +
| 13-Mar
 +
| 204,000
 +
| 192,000
 +
|-
 +
| 13-Jun
 +
| 222,000
 +
| 215,000
 +
|-
 +
| 13-Sep
 +
| 219,000
 +
| 195,000
 +
|-
 +
| 13-Dec
 +
| 215,000
 +
| 186,000
 +
|-
 +
| 14-Mar
 +
| 220,000
 +
| 189,000
 +
|-
 +
| 14-Jun
 +
| 220,000
 +
| -
 +
|-
 +
| 14-Sep
 +
| 225,000
 +
| -
 +
|-
 +
| 14-Dec
 +
| 223,000
 +
| -
 +
|-
 +
| 15-Mar
 +
| 233,000
 +
| -
 +
|-
 +
| colspan="3" | Note: Dashes indicate not applicable.
 +
|}
 +
 
 +
[[File:Establishment Births and Deaths.png|thumb|center|upright=2.0]]
 +
Source: http://www.bls.gov/bdm/entrepreneurship/bdm_chart5.htm
 +
 
 +
=='''Small Business Portion of GDP'''==
 +
{| class="wikitable"
 +
!
 +
! 1998
 +
!
 +
! 1999
 +
!
 +
! 2000
 +
!
 +
! 2001
 +
!
 +
! 2002
 +
!
 +
! 2003
 +
!
 +
! 2004
 +
!
 +
|-
 +
| Private NonFarm GDP
 +
| Dollars
 +
| Percent
 +
| Dollars
 +
| Percent
 +
| Dollars
 +
| Percent
 +
| Dollars
 +
| Percent
 +
| Dollars
 +
| Percent
 +
| Dollars
 +
| Percent
 +
| Dollars
 +
| Percent
 +
|-
 +
| Small Business GDP
 +
| 3,578,026
 +
| 50.50%
 +
| 3836070
 +
| 50.50%
 +
| 4,068,879
 +
| 50.30%
 +
| 4,190,264
 +
| 50.30%
 +
| 4,139,771
 +
| 48.30%
 +
| 4,299,941
 +
| 48.10%
 +
| 4,522,139
 +
| 47.50%
 +
|-
 +
| Compensation
 +
| 1,951,708
 +
| 48.30%
 +
| 2076019
 +
| 47.70%
 +
| 2,231,086
 +
| 47.20%
 +
| 2,287,128
 +
| 46.90%
 +
| 2,334,808
 +
| 47.30%
 +
| 2,410,676
 +
| 47.00%
 +
| 2,520,466
 +
| 46.90%
 +
|-
 +
| Nonlabor Components
 +
| 1,626,318
 +
| 53.40%
 +
| 1760051
 +
| 54.30%
 +
| 1,837,793
 +
| 54.80%
 +
| 1,903,136
 +
| 55.00%
 +
| 1,804,963
 +
| 49.50%
 +
| 1,889,265
 +
| 49.50%
 +
| 2,001,673
 +
| 48.30%
 +
|-
 +
| Large Business GDP
 +
| 3,506,662
 +
| 49.50%
 +
| 3757240
 +
| 49.50%
 +
| 4,016,765
 +
| 49.70%
 +
| 4,143,305
 +
| 49.70%
 +
| 4,439,604
 +
| 51.70%
 +
| 4,646,881
 +
| 51.90%
 +
| 4,998,306
 +
| 52.50%
 +
|-
 +
| Compensation
 +
| 2,089,914
 +
| 51.70%
 +
| 2276711
 +
| 52.30%
 +
| 2,498,680
 +
| 52.80%
 +
| 2,586,543
 +
| 53.10%
 +
| 2,599,265
 +
| 52.70%
 +
| 2,719,761
 +
| 53.00%
 +
| 2,852,510
 +
| 53.10%
 +
|-
 +
| Nonlabor Components
 +
| 1,416,748
 +
| 46.60%
 +
| 1480529
 +
| 45.70%
 +
| 1,518,085
 +
| 45.20%
 +
| 1,556,762
 +
| 45.00%
 +
| 1,840,339
 +
| 50.50%
 +
| 1,927,120
 +
| 50.50%
 +
| 2,145,796
 +
| 51.70%
 +
|-
 +
|
 +
! 2005
 +
|
 +
! 2006
 +
|
 +
! 2007
 +
|
 +
! 2008
 +
|
 +
! 2009
 +
|
 +
! 2010
 +
|
 +
|
 +
|
 +
|-
 +
| Private NonFarm GDP
 +
| Dollars
 +
| Percent
 +
| Dollars
 +
| Percent
 +
| Dollars
 +
| Percent
 +
| Dollars
 +
| Percent
 +
| Dollars
 +
| Percent
 +
| Dollars
 +
| Percent
 +
|
 +
|
 +
|-
 +
| Small Business GDP
 +
| 4,698,197
 +
| 46.30%
 +
| 4,948,040
 +
| 46.10%
 +
| 5,182,230
 +
| 46.20%
 +
| 5,217,082
 +
| 45.80%
 +
| 5,080,329
 +
| 46.00%
 +
| 5,210,469
 +
| 44.60%
 +
|
 +
|
 +
|-
 +
| Compensation
 +
| 2,650,841
 +
| 46.70%
 +
| 2,788,759
 +
| 46.30%
 +
| 2,902,857
 +
| 45.90%
 +
| 2,951,310
 +
| 45.70%
 +
| 2,772,211
 +
| 45.20%
 +
| 2,809,979
 +
| 44.80%
 +
|
 +
|
 +
|-
 +
| Nonlabor Components
 +
| 2,047,356
 +
| 45.90%
 +
| 2159281
 +
| 45.90%
 +
| 2,279,373
 +
| 46.60%
 +
| 2,265,772
 +
| 46.00%
 +
| 2,308,118
 +
| 47.00%
 +
| 2,400,490
 +
| 44.40%
 +
|
 +
|
 +
|-
 +
| Large Business GDP
 +
| 5,443,589
 +
| 53.70%
 +
| 5,781,123
 +
| 53.90%
 +
| 6,025,888
 +
| 53.80%
 +
| 6,165,202
 +
| 54.20%
 +
| 5,971,081
 +
| 54.00%
 +
| 6,465,158
 +
| 55.40%
 +
|
 +
|
 +
|-
 +
| Compensation
 +
| 3,029,170
 +
| 53.30%
 +
| 3,234,894
 +
| 53.70%
 +
| 3,418,722
 +
| 54.10%
 +
| 3,505,231
 +
| 54.30%
 +
| 3,365,906
 +
| 54.80%
 +
| 3,455,528
 +
| 55.20%
 +
|
 +
|
 +
|-
 +
| Nonlabor Components
 +
| 2,414,419
 +
| 54.10%
 +
| 2,546,229
 +
| 54.10%
 +
| 2,607,166
 +
| 53.40%
 +
| 2,659,971
 +
| 54.00%
 +
| 2,605,175
 +
| 53.00%
 +
| 3,009,630
 +
| 55.60%
 +
|
 +
|
 +
|}
 +
 
 +
Source:https://www.sba.gov/sites/default/files/rs390tot_1.pdf
 +
 
 +
=='''Big Data for Small Business'''==
 +
 
 +
"PROGRAM CHANGE:
 +
BIG DATA FOR SMALL BUSINESS ($1.9M / 9 FTE)
 +
Small businesses are a critical element of the overall economy and are often at the leading edge of
 +
risk-taking, entrepreneurship, and economic growth. Yet, unlike large corporations who have staffs of
 +
economists, advisors, and consultants to assist in interpreting and understanding the economy and
 +
guiding investments, small businesses largely depend on limited publicly-available data.
 +
Recognizing this, and the Department’s role in supporting small business growth and decision-making,
 +
as well as the need for more insight into the health of the small business sector, BEA proposes a new
 +
suite of small business data products. To inform policy, as well as Main Street decision-making, BEA
 +
proposes to expand data on small business by developing a Small Business Satellite Account including
 +
a new Small Business GDP to track the overall growth and health of America’s small business sector.
 +
This will be a key new measure, offering insight into the leading edge of the economy, as small
 +
businesses are often the first to react to growth or contraction in their sectors or regions, often reacting
 +
to changes in policy before larger corporations. Gaining such insight will also fulfill a key lesson learned
 +
from the 2008 financial crisis in terms of expanding the granularity of data on business activity.
 +
In addition to the new Small Business GDP measure, the small business satellite account will present
 +
new data on the distribution of small businesses by size of employment and sales; legal form of
 +
business, taxes, and net income; by industry; and by region of the country. This data will provide
 +
meaningful descriptions and the ability to understand trends over time regarding the changes in
 +
composition, industry, and geography of the small business sector. In addition to supporting good
 +
public policy at the national level, these data will also be of substantial value to state and local
 +
government as well as business development officials in understanding their regional economic
 +
dynamics.
 +
Coupled with BEA’s other products, such as GDP by State and Real State Personal Income, these
 +
new statistics will represent a wealth of new information to guide small business growth and policy.
 +
Beyond the public policy arena, expanding the Department’s data offerings to this essential
 +
constituency will only further enhance the ability of America’s entrepreneurs to innovate, grow, and lead
 +
successful businesses.
 +
There are no risks to the development and production of new data, and particularly not as it relates to a
 +
new satellite account focusing on small businesses. In this case, particularly given that no new data
 +
ESA - 26
 +
EXHIBIT 12 – 15
 +
collection is proposed (the new account will be built from existing, primarily administrative, data), and
 +
thus no additional burden will be placed on businesses to develop the necessary data.
 +
The opportunities presented by this proposal are considerable given the well-defined record of
 +
accomplishment of accurate, reliable, official statistical data providing the knowledge basis for
 +
economic growth as well as smart decisions in the public policy sector.
 +
Further, the benefit of this initiative to the Department goes to the heart of the Department’s role in
 +
economic policy – the Department is the primary source of actionable statistics on the state of the
 +
economy. Along with the daily provision of weather information, the weekly issuance of economic
 +
indicators is one of the Department’s most important and visible functions. Expanding the Department’s
 +
data offerings to such an important constituency is a highly valuable proposition for both the
 +
Department as well as policy and business sectors.
 +
The risk of not pursuing this proposal is perpetuating the continued lack of direct knowledge of the
 +
economic health of the small business sector and what that sector can tell us about the health of the
 +
overall economy. There is a clear need and desire for this information, as demonstrated by multiple
 +
efforts over the years by SBA and various trade associations to develop similar data sets. BEA is
 +
uniquely suited to develop this data set given its role as the custodian of the nation’s economic
 +
accounts. Further, data on small businesses published by BEA will have the official imprimatur of BEA
 +
as well as the full, symmetric, and broad access to the data that is true for all BEA data products.
 +
Also of importance is that, as a BEA data set, the Small Business Satellite Account will provide data in
 +
a consistent times series, as well as in a format and methodology consistent with all of BEA’s accounts
 +
thus allowing expanded analysis in full context.
 +
Given the role and importance of small businesses in economic growth and recovery, the addition of
 +
new and better information to assist small business decision-making and investment will only serve to
 +
support small business success. This is an outstanding opportunity for the Department to expand its
 +
service offering to this critical constituency.
 +
Costs are largely personnel in nature, with a $500k expected expenditure on data purchase.
 +
ESA - 27
 +
EXHIBIT 12 – 15
 +
Targets without increase
 +
FY
 +
2016
 +
FY
 +
2017
 +
FY
 +
2018
 +
FY
 +
2019
 +
FY
 +
2020
 +
Score on Customer Satisfaction
 +
Survey
 +
Greater
 +
than 4.0
 +
Greater
 +
than 4.0
 +
Greater
 +
than 4.0
 +
Greater
 +
than 4.0
 +
Greater
 +
than 4.0
 +
Complete all Major Strategic
 +
Plan milestones related to
 +
improving the economic
 +
accounts
 +
Successfully complete related milestones
 +
Targets with increase
 +
FY
 +
2016
 +
FY
 +
2017
 +
FY
 +
2018
 +
FY
 +
2019
 +
FY
 +
2020
 +
Score on Customer Satisfaction
 +
Survey
 +
Greater
 +
than 4.0
 +
Greater
 +
than 4.1
 +
Greater
 +
than 4.1
 +
Greater
 +
than 4.1
 +
Greater
 +
than 4.1
 +
Complete all Major Strategic
 +
Plan milestones related to
 +
improving the economic
 +
accounts
 +
Successfully complete additional milestones
 +
specifically tied to initiative goals
 +
Statement of Need and Economic Benefits
 +
The additional economic statistics resulting from the implementation of this proposal will provide policy
 +
makers, the Administration, and the Department of Commerce with key information to assess the
 +
economic health and capacity of the small business sector to engage in economic activity. Small
 +
businesses comprise a large portion of the business sector in the U.S. and are often the leading edge
 +
of economic growth and contraction; yet no current Federal statistical programs exist to provide a
 +
complete picture of the small business sector. While some features of the sector are measured in
 +
varying ways, this proposal will pull them together into a concise picture, allowing policy makers and
 +
business leaders to assess and anticipate small business economic capacity and respond accordingly.
 +
Specific economic benefits of this investment:
 +
• As has been demonstrated repeatedly since the introduction of regular, consistent, publicsector
 +
economic data in the 1930s, detailed and quality economic statistics contribute
 +
significantly to the overall stability of the economy, which itself contributes to economic growth.
 +
Specific cost savings:
 +
• While this proposal will not result in cost savings to BEA, it will result in significantly improved
 +
economic statistics. These improved and expanded statistics will provide the right information
 +
to develop policies and affect business investments that will improve U.S. competitiveness and
 +
create new jobs.
 +
 
 +
ESA - 28
 +
EXHIBIT 12 – 15
 +
Possible return on investment:
 +
• The return on investment to the Bureau, and the nation, is significant, as this initiative will serve
 +
to fill notable existing gaps in official government statistics and will provide highly valuable new
 +
detail on the small business sector, its composition, employment, and growth by region and
 +
industry. Of great value to economic policy makers, this new data will also be of high value to
 +
the business community, in particular small businesses. Major corporations have staffs of
 +
economists, advisors, and consultants assisting in interpreting and understanding the economy
 +
and guiding investments – small businesses do not.
 +
• Better statistics allow policies to be more accurately calibrated and optimized by permitting a
 +
more accurate assessment of their costs and benefits. The potential gains from this initiative
 +
will certainly far exceed the relatively small cost.
 +
Schedule and Milestones:
 +
FY16: Research and develop methodology; conduct outreach to stakeholders to gain additional
 +
information; and expand collaboration with other Federal agency stakeholders.
 +
FY17: Publish methodology papers and develop initial estimates; present and secure endorsement of
 +
methodology and initial estimates from BEA Advisory Committee
 +
FY18: Publish prototype satellite account
 +
FY19: Publish official data series
 +
Deliverables:
 +
Papers, prototype data series and final official data series published on an annual basis.
 +
ESA - 29
 +
EXHIBIT 12 – 15
 +
PROGRAM CHANGE PERSONNEL DETAIL
 +
(Actual Dollars)
 +
Budget Program: Bureau of Economic Analysis
 +
Sub-program: National Economic Accounts
 +
Program Change: Big Data for Small Business
 +
Title Band Interval Number
 +
Annual
 +
Salary Total Salary
 +
Senior Economist V 1 1 152,087 152,087
 +
Senior Economist IV 1 2 128,575 257,150
 +
Economist III 1 3 87,411 262,233
 +
Economist II 1 4 64,633 258,532
 +
IT Specialist III 1 2 92,802 185,604
 +
Total 12 1,115,606
 +
Less Lapse (3) (278,902)
 +
Total Full-time permanent (FTE) 9 836,704
 +
2015 Pay Adjustment (1.0%) 8,367
 +
2016 Pay Adjustment (1.3%) 10,986
 +
Total 856,057
 +
Personnel Data
 +
Full-time Equivalent Employment:
 +
Full-time permanent 9
 +
Other than full-time permanent 0
 +
Total 9
 +
Authorized Positions:
 +
Full-time permanent 12
 +
Other than full-time permanent 0
 +
ESA - 30
 +
EXHIBIT 12 – 15
 +
PROGRAM CHANGE DETAIL BY OBJECT CLASS
 +
(Dollars in Thousands)
 +
Budget Program: Bureau of Economic Analysis
 +
Sub-program: National Economic Accounts
 +
Program Change: Big Data for Small Business
 +
FY 2016 FY 2016
 +
Object Class Increase Total Program
 +
11.0 Personnel compensation
 +
11.1 Full-time permanent 856 856
 +
11.3 Other than full-time permanent 0 0
 +
11.5 Other personnel compensation 0 0
 +
11.8 Special personnel services payments 0 0
 +
11.9 Total personnel compensation 856 856
 +
12.0 Civilian personnel benefits 242 242
 +
13.0 Benefits for former personnel 0 0
 +
21.0 Travel and transportation of persons 9 9
 +
22.0 Transportation of things 0 0
 +
23.1 Rental payments to GSA 0 0
 +
23.2 Rental Payments to others 0 0
 +
23.3 Communications, utilities and miscellaneous charges 7 7
 +
24.0 Printing and reproduction 0 0
 +
25.1 Advisory and assistance services 0 0
 +
25.2 Other services 58 58
 +
25.3 Purchases of goods & services from Gov't accounts 582 582
 +
25.4 Operation and maintenance of facilities 0 0
 +
25.5 Research and development contracts 0 0
 +
25.6 Medical care 0 0
 +
25.7 Operation and maintenance of equipment 0 0
 +
25.8 Subsistence and support of persons 0 0
 +
26.0 Supplies and materials 39 39
 +
31.0 Equipment 125 125
 +
99.0 Total obligations 1,918 1,918"
 +
 
 +
Taken from pages 26-31 of [https://www.bea.gov/about/pdf/ESA_FY_2016_CJ_Final.pdf this] report.
 +
 
 +
==U.S. innovation data (Small Business Focused)==
 +
 
 +
Example SBA Advocacy Report on Small Business Invention
 +
*https://www.sba.gov/sites/default/files/rs411tot.pdf
 +
 
 +
US R&D Funding data
 +
*https://www.aaas.org/page/historical-trends-federal-rd
 +
 
 +
WIPO List of Innovation Databases
 +
*http://www.wipo.int/econ_stat/en/economics/research/
 +
 
 +
SBIR data
 +
*https://www.sbir.gov/awards/annual-reports
 +
 
 +
Federal funding for R&D
 +
*https://www.nsf.gov/statistics/srvyfedfunds/#tabs-2
 +
 
 +
Data check: U.S. government share of basic research funding falls below 50%
 +
*http://www.sciencemag.org/news/2017/03/data-check-us-government-share-basic-research-funding-falls-below-50
 +
 
 +
OECD R&D spending data by country
 +
*https://data.oecd.org/rd/gross-domestic-spending-on-r-d.htm
 +
and PISA
 +
*https://data.oecd.org/pisa/science-performance-pisa.htm
 +
 
 +
BRDIS
 +
*https://www.nsf.gov/statistics/srvyindustry/about/brdis/
 +
*https://www.nsf.gov/statistics/infbrief/nsf11300/
 +
*https://www.nsf.gov/statistics/srvyindustry/about/brdis/panel.cfm
 +
 
 +
Global Innovation Index 2017: Switzerland, Sweden, Netherlands, USA, UK Top Annual Ranking
 +
*http://www.wipo.int/pressroom/en/articles/2017/article_0006.html
 +
*https://www.globalinnovationindex.org/
 +
 
 +
The 16 most innovative countries in the world
 +
*http://www.businessinsider.com/most-innovative-countries-in-the-world-2017-6/#3-netherlands-with-a-high-volume-of-patents-filed-the-netherlands-leads-the-surveys-business-sophistication-rankings-the-country-also-falls-near-the-top-in-the-categories-of-knowledge-and-technology-outputs-which-include-things-like-inventions-and-trademarks-14
 +
 
 +
IMD World Competitiveness Center
 +
*http://www.imd.org/wcc/world-competitiveness-center/
 +
*http://www.imd.org/globalassets/wcc/docs/release-2017/wcy-2017-vs-2016---final.pdf
 +
 
 +
GEM data on US
 +
*http://www.gemconsortium.org/country-profile/122
 +
 
 +
NBER Historical Cross-Country Technology Adoption (HCCTA) Dataset
 +
*http://www.nber.org/hccta/

Latest revision as of 12:43, 21 September 2020


Project
Small Business Data
Project logo 02.png
Project Information
Has title Small Business Data
Has owner Dylan Dickens
Has start date
Has deadline date
Has keywords Data
Has project status Complete
Has sponsor McNair Center
Has project output Data, Content, How-to, Guide
Copyright © 2019 edegan.com. All Rights Reserved.


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

Survey Respondents on Small Business Issues

Survey Date Labor Markets Capital Sales General Outlook Data
SBET February 2016 February 2016
  • 42% of businesses in the survey report few or no qualified applicants for a position that they were trying to fill
  • 4% of small business owners surveyed reported that company borrowing needs were not met
  • 11% cite weak sales as their principal business problem
  • Spending and hiring plans fell as expectations for growth in real sales volumes declined

(N=2194, Data was obtained from membership files of the NFIB)

Small Business Owner report

Fall 2015

  • 67% planned to hire 12+ employees within 2015
  • 46% of small businesses surveyed cite credit availability as their primary concern
  • 28% of businesses say they will use recently acquired funding to develop a new product or service within the next year
  • 56% say they expect the US economy to improve within the next 12 months
  • 72% of small businesses expect their revenue to increase for the year
 (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

  • 26% of small businesses expect to hire in Q1 2016
  • 66% of businesses expect the number of jobs to stay the same
  • 11% of businesses say that hiring and retaining qualified staff is their most pressing problem
  • 19% of businesses responded that obtaining credit was difficult
  • 5% of say cash flow and financial stability as the company's biggest problem
  • 4% of businesses surveyed speculate credit availability may be prohibiting company growth
  • 14% experienced difficulty attracting customers in Q1 2016
  • 38% of businesses surveyed stated a positive revenue increase in Q1 2016
  • 67% of small businesses regard their financial situation as good or very good in Q1 2016
  • 71% expect a positive financial future within the next 12 months
  • 8% of small businesses say that the economy is the principal problem their business is facing
 (N=600 small business owners in Q1 2016)
WSJ survey

January 2016

  • 54% of businesses surveyed said they expect firm size to increase
  • 40% of businesses reported that they expect their firm's fixed investment expenditures to increase during the next 12 mo.
  • 73% report an expected sales increase within the year
  • 54% of firms expect their profitability to improve
  • Investments in new plant and equipment have fallen to their lowest level in more than two years
  • 20% of firms expect the economy to worsen in the year ahead—the highest level in more than two years.
NY Fed Survey

2014

  • 27% of businesses reported an increase in their full time staff
  • 15% reported a decrease in their full time staff
  • 58% of respondents reported no change in their employee base
  • 23% of businesses reported 10-25K of debt
  • 62% of businesses had applied for <100K of financing
  • 41% responded they'd sought financing from a large regional bank
  • 35% of respondents reported increasing revenues and positive profitability
  • 23% of businesses said they'd experienced difficulty in attracting customers
  • 29% of businesses reported personal savings as their primary financing source
  • 29% of businesses operated at a loss
  • 13% of respondents said the increasing costs of running their business was their principal concern

10 states of coverage: Alabama, Connecticut, Florida, Georgia, Louisiana, New Jersey, New York, Ohio, Pennsylvania, and Tennessee with businesses <500.

Holy Grail FDIC Data

https://www5.fdic.gov/sdi/main.asp

Minorities in Small Business

Council of Economic Advisers

Year Expert? Name Field of Expert CEA Size Percent Grade
1979 0 - - 13 0.00% F
1980 0 - - 15 0.00% F
1981 0 - - 16 0.00% F
1982 0 - - 15 0.00% F
1983 0 - - 15 0.00% F
1984 0 - - 12 0.00% F
1985 0 - - 14 0.00% F
1986 0 - - 15 0.00% F *junior staff with IO and Finance Darrel L. Williams
1987 0 - - 12 0.00% F *junior staff with IO, Regulation and Finance Randall S. Kroszner
1988 0 - - 13 0.00% F
1989 0 - - 13 0.00% F
1990 1 Adam B. Jaffe Regulation, Energy, and R&D 13 7.69% A
1991 0 - - 0.00% F
1992 0 Andrew S. Joskow Regulation, Energy, and Industrial Organization 13 0.00% B
1993 0 Jonathan B. Baker Regulation, Industrial Organization, and Law 16 0.00% B
1994 0 Jonathan B. Baker Regulation, Industrial Organization, and Law 15 0.00% B
1995 0 Marius Schwartz Regulation, Industrial Organization, and Antitrust 15 0.00% B
1996 0 Timothy J. Brennan Regulation, Industrial Organization, and Antitrust 13 0.00% B
1997 0 Aaron S. Edlin Regulation, Industrial Organization, and Antitrust 13 0.00% B
1998 0 Howard A. Shelanski Regulation, Industrial Organization, and Antitrust 11 0.00% B
1999 0 William H. Gillespie Industrial Organization 12 0.00% B
2000 0 Peter G. Klein Industrial Organization 11 0.00% B
2001 0 - - 11 0.00% F
2002 0 Cindy R. Alexander Industrial Organization, Corporate Finance, and Regulation 11 0.00% B
2003 0 - - 11 0.00% F
2004 0 - - 11 0.00% F
2005 0 - - 12 0.00% F
2006 0 Kristin McCue Labor, Small Business, and Economic Development 11 0.00% B
2007 0 John Stevens Macroeconomics, Labor, Small Business 11 0.00% B
2008 0 - - 11 0.00% F
2009 0 - - 9 0.00% F
2010 1 Ronnie Chatterji Entrepreneurship and Innovation 10 10.00% A
2011 2 Lee G. Bransetter; Lisa D. Cook International Trade and Investment, Innovation, and Manufacturing; International Finance, Entrepreneurship, Innovation and Development 11 18.18% A
2012 1 Susan Helper Manufacturing, Innovation, Small Business 11 9.09% A
2013 0 David Balan Industrial Organization, Technology, Health 12 0.00% B
2014 1 Timothy Simcoe Innovation, Technology, Industrial Organization 11 9.09% A
2015 1 Robert C. Seamans Innovation, Technology, Industrial Organization 11 9.09% A
2016 1 Victor Bennet Innovation, Technology, Industrial Organization 13 7.69% A

Firm Size & Employment

Holy Grail Data: https://www.sba.gov/advocacy/firm-size-data Inside E\McNair\Projects\Small Business as SBA Industry and Firm Size Statistics

Firm Births & Deaths

Quarterly Establishment Births and Deaths, 1993-2015
Quarter Births Deaths
Mar-93 - 167,000
Jun-93 181,000 160,000
Sep-93 191,000 148,000
Dec-93 182,000 154,000
Mar-94 185,000 164,000
Jun-94 196,000 162,000
Sep-94 201,000 156,000
Dec-94 192,000 174,000
Mar-95 197,000 161,000
Jun-95 193,000 167,000
Sep-95 193,000 168,000
Dec-95 195,000 174,000
Mar-96 204,000 173,000
Jun-96 198,000 171,000
Sep-96 205,000 174,000
Dec-96 216,000 175,000
Mar-97 211,000 180,000
Jun-97 210,000 175,000
Sep-97 207,000 173,000
Dec-97 200,000 189,000
Mar-98 222,000 186,000
Jun-98 226,000 173,000
Sep-98 209,000 185,000
Dec-98 203,000 188,000
Mar-99 213,000 194,000
Jun-99 219,000 192,000
Sep-99 209,000 194,000
Dec-99 224,000 189,000
Mar-00 227,000 196,000
Jun-00 218,000 189,000
Sep-00 222,000 209,000
Dec-00 215,000 204,000
1-Mar 220,000 214,000
1-Jun 217,000 212,000
1-Sep 218,000 219,000
1-Dec 209,000 208,000
2-Mar 219,000 199,000
2-Jun 228,000 196,000
2-Sep 217,000 193,000
2-Dec 216,000 200,000
3-Mar 215,000 194,000
3-Jun 212,000 194,000
3-Sep 210,000 191,000
3-Dec 218,000 191,000
4-Mar 222,000 193,000
4-Jun 218,000 196,000
4-Sep 224,000 196,000
4-Dec 226,000 191,000
5-Mar 227,000 196,000
5-Jun 232,000 192,000
5-Sep 236,000 195,000
5-Dec 236,000 200,000
6-Mar 236,000 195,000
6-Jun 233,000 206,000
6-Sep 224,000 210,000
6-Dec 236,000 207,000
7-Mar 232,000 205,000
7-Jun 225,000 215,000
7-Sep 233,000 216,000
7-Dec 228,000 218,000
8-Mar 226,000 224,000
8-Jun 221,000 238,000
8-Sep 216,000 233,000
8-Dec 211,000 253,000
9-Mar 197,000 247,000
9-Jun 201,000 238,000
9-Sep 192,000 227,000
9-Dec 202,000 218,000
10-Mar 193,000 211,000
10-Jun 193,000 202,000
10-Sep 207,000 204,000
10-Dec 216,000 201,000
11-Mar 204,000 200,000
11-Jun 210,000 206,000
11-Sep 205,000 196,000
11-Dec 214,000 198,000
12-Mar 237,000 187,000
12-Jun 216,000 195,000
12-Sep 211,000 196,000
12-Dec 218,000 183,000
13-Mar 204,000 192,000
13-Jun 222,000 215,000
13-Sep 219,000 195,000
13-Dec 215,000 186,000
14-Mar 220,000 189,000
14-Jun 220,000 -
14-Sep 225,000 -
14-Dec 223,000 -
15-Mar 233,000 -
Note: Dashes indicate not applicable.
Establishment Births and Deaths.png

Source: http://www.bls.gov/bdm/entrepreneurship/bdm_chart5.htm

Small Business Portion of GDP

1998 1999 2000 2001 2002 2003 2004
Private NonFarm GDP Dollars Percent Dollars Percent Dollars Percent Dollars Percent Dollars Percent Dollars Percent Dollars Percent
Small Business GDP 3,578,026 50.50% 3836070 50.50% 4,068,879 50.30% 4,190,264 50.30% 4,139,771 48.30% 4,299,941 48.10% 4,522,139 47.50%
Compensation 1,951,708 48.30% 2076019 47.70% 2,231,086 47.20% 2,287,128 46.90% 2,334,808 47.30% 2,410,676 47.00% 2,520,466 46.90%
Nonlabor Components 1,626,318 53.40% 1760051 54.30% 1,837,793 54.80% 1,903,136 55.00% 1,804,963 49.50% 1,889,265 49.50% 2,001,673 48.30%
Large Business GDP 3,506,662 49.50% 3757240 49.50% 4,016,765 49.70% 4,143,305 49.70% 4,439,604 51.70% 4,646,881 51.90% 4,998,306 52.50%
Compensation 2,089,914 51.70% 2276711 52.30% 2,498,680 52.80% 2,586,543 53.10% 2,599,265 52.70% 2,719,761 53.00% 2,852,510 53.10%
Nonlabor Components 1,416,748 46.60% 1480529 45.70% 1,518,085 45.20% 1,556,762 45.00% 1,840,339 50.50% 1,927,120 50.50% 2,145,796 51.70%
2005 2006 2007 2008 2009 2010
Private NonFarm GDP Dollars Percent Dollars Percent Dollars Percent Dollars Percent Dollars Percent Dollars Percent
Small Business GDP 4,698,197 46.30% 4,948,040 46.10% 5,182,230 46.20% 5,217,082 45.80% 5,080,329 46.00% 5,210,469 44.60%
Compensation 2,650,841 46.70% 2,788,759 46.30% 2,902,857 45.90% 2,951,310 45.70% 2,772,211 45.20% 2,809,979 44.80%
Nonlabor Components 2,047,356 45.90% 2159281 45.90% 2,279,373 46.60% 2,265,772 46.00% 2,308,118 47.00% 2,400,490 44.40%
Large Business GDP 5,443,589 53.70% 5,781,123 53.90% 6,025,888 53.80% 6,165,202 54.20% 5,971,081 54.00% 6,465,158 55.40%
Compensation 3,029,170 53.30% 3,234,894 53.70% 3,418,722 54.10% 3,505,231 54.30% 3,365,906 54.80% 3,455,528 55.20%
Nonlabor Components 2,414,419 54.10% 2,546,229 54.10% 2,607,166 53.40% 2,659,971 54.00% 2,605,175 53.00% 3,009,630 55.60%

Source:https://www.sba.gov/sites/default/files/rs390tot_1.pdf

Big Data for Small Business

"PROGRAM CHANGE: BIG DATA FOR SMALL BUSINESS ($1.9M / 9 FTE) Small businesses are a critical element of the overall economy and are often at the leading edge of risk-taking, entrepreneurship, and economic growth. Yet, unlike large corporations who have staffs of economists, advisors, and consultants to assist in interpreting and understanding the economy and guiding investments, small businesses largely depend on limited publicly-available data. Recognizing this, and the Department’s role in supporting small business growth and decision-making, as well as the need for more insight into the health of the small business sector, BEA proposes a new suite of small business data products. To inform policy, as well as Main Street decision-making, BEA proposes to expand data on small business by developing a Small Business Satellite Account including a new Small Business GDP to track the overall growth and health of America’s small business sector. This will be a key new measure, offering insight into the leading edge of the economy, as small businesses are often the first to react to growth or contraction in their sectors or regions, often reacting to changes in policy before larger corporations. Gaining such insight will also fulfill a key lesson learned from the 2008 financial crisis in terms of expanding the granularity of data on business activity. In addition to the new Small Business GDP measure, the small business satellite account will present new data on the distribution of small businesses by size of employment and sales; legal form of business, taxes, and net income; by industry; and by region of the country. This data will provide meaningful descriptions and the ability to understand trends over time regarding the changes in composition, industry, and geography of the small business sector. In addition to supporting good public policy at the national level, these data will also be of substantial value to state and local government as well as business development officials in understanding their regional economic dynamics. Coupled with BEA’s other products, such as GDP by State and Real State Personal Income, these new statistics will represent a wealth of new information to guide small business growth and policy. Beyond the public policy arena, expanding the Department’s data offerings to this essential constituency will only further enhance the ability of America’s entrepreneurs to innovate, grow, and lead successful businesses. There are no risks to the development and production of new data, and particularly not as it relates to a new satellite account focusing on small businesses. In this case, particularly given that no new data ESA - 26 EXHIBIT 12 – 15 collection is proposed (the new account will be built from existing, primarily administrative, data), and thus no additional burden will be placed on businesses to develop the necessary data. The opportunities presented by this proposal are considerable given the well-defined record of accomplishment of accurate, reliable, official statistical data providing the knowledge basis for economic growth as well as smart decisions in the public policy sector. Further, the benefit of this initiative to the Department goes to the heart of the Department’s role in economic policy – the Department is the primary source of actionable statistics on the state of the economy. Along with the daily provision of weather information, the weekly issuance of economic indicators is one of the Department’s most important and visible functions. Expanding the Department’s data offerings to such an important constituency is a highly valuable proposition for both the Department as well as policy and business sectors. The risk of not pursuing this proposal is perpetuating the continued lack of direct knowledge of the economic health of the small business sector and what that sector can tell us about the health of the overall economy. There is a clear need and desire for this information, as demonstrated by multiple efforts over the years by SBA and various trade associations to develop similar data sets. BEA is uniquely suited to develop this data set given its role as the custodian of the nation’s economic accounts. Further, data on small businesses published by BEA will have the official imprimatur of BEA as well as the full, symmetric, and broad access to the data that is true for all BEA data products. Also of importance is that, as a BEA data set, the Small Business Satellite Account will provide data in a consistent times series, as well as in a format and methodology consistent with all of BEA’s accounts thus allowing expanded analysis in full context. Given the role and importance of small businesses in economic growth and recovery, the addition of new and better information to assist small business decision-making and investment will only serve to support small business success. This is an outstanding opportunity for the Department to expand its service offering to this critical constituency. Costs are largely personnel in nature, with a $500k expected expenditure on data purchase. ESA - 27 EXHIBIT 12 – 15 Targets without increase FY 2016 FY 2017 FY 2018 FY 2019 FY 2020 Score on Customer Satisfaction Survey Greater than 4.0 Greater than 4.0 Greater than 4.0 Greater than 4.0 Greater than 4.0 Complete all Major Strategic Plan milestones related to improving the economic accounts Successfully complete related milestones Targets with increase FY 2016 FY 2017 FY 2018 FY 2019 FY 2020 Score on Customer Satisfaction Survey Greater than 4.0 Greater than 4.1 Greater than 4.1 Greater than 4.1 Greater than 4.1 Complete all Major Strategic Plan milestones related to improving the economic accounts Successfully complete additional milestones specifically tied to initiative goals Statement of Need and Economic Benefits The additional economic statistics resulting from the implementation of this proposal will provide policy makers, the Administration, and the Department of Commerce with key information to assess the economic health and capacity of the small business sector to engage in economic activity. Small businesses comprise a large portion of the business sector in the U.S. and are often the leading edge of economic growth and contraction; yet no current Federal statistical programs exist to provide a complete picture of the small business sector. While some features of the sector are measured in varying ways, this proposal will pull them together into a concise picture, allowing policy makers and business leaders to assess and anticipate small business economic capacity and respond accordingly. Specific economic benefits of this investment: • As has been demonstrated repeatedly since the introduction of regular, consistent, publicsector economic data in the 1930s, detailed and quality economic statistics contribute significantly to the overall stability of the economy, which itself contributes to economic growth. Specific cost savings: • While this proposal will not result in cost savings to BEA, it will result in significantly improved economic statistics. These improved and expanded statistics will provide the right information to develop policies and affect business investments that will improve U.S. competitiveness and create new jobs.

ESA - 28 EXHIBIT 12 – 15 Possible return on investment: • The return on investment to the Bureau, and the nation, is significant, as this initiative will serve to fill notable existing gaps in official government statistics and will provide highly valuable new detail on the small business sector, its composition, employment, and growth by region and industry. Of great value to economic policy makers, this new data will also be of high value to the business community, in particular small businesses. Major corporations have staffs of economists, advisors, and consultants assisting in interpreting and understanding the economy and guiding investments – small businesses do not. • Better statistics allow policies to be more accurately calibrated and optimized by permitting a more accurate assessment of their costs and benefits. The potential gains from this initiative will certainly far exceed the relatively small cost. Schedule and Milestones: FY16: Research and develop methodology; conduct outreach to stakeholders to gain additional information; and expand collaboration with other Federal agency stakeholders. FY17: Publish methodology papers and develop initial estimates; present and secure endorsement of methodology and initial estimates from BEA Advisory Committee FY18: Publish prototype satellite account FY19: Publish official data series Deliverables: Papers, prototype data series and final official data series published on an annual basis. ESA - 29 EXHIBIT 12 – 15 PROGRAM CHANGE PERSONNEL DETAIL (Actual Dollars) Budget Program: Bureau of Economic Analysis Sub-program: National Economic Accounts Program Change: Big Data for Small Business Title Band Interval Number Annual Salary Total Salary Senior Economist V 1 1 152,087 152,087 Senior Economist IV 1 2 128,575 257,150 Economist III 1 3 87,411 262,233 Economist II 1 4 64,633 258,532 IT Specialist III 1 2 92,802 185,604 Total 12 1,115,606 Less Lapse (3) (278,902) Total Full-time permanent (FTE) 9 836,704 2015 Pay Adjustment (1.0%) 8,367 2016 Pay Adjustment (1.3%) 10,986 Total 856,057 Personnel Data Full-time Equivalent Employment: Full-time permanent 9 Other than full-time permanent 0 Total 9 Authorized Positions: Full-time permanent 12 Other than full-time permanent 0 ESA - 30 EXHIBIT 12 – 15 PROGRAM CHANGE DETAIL BY OBJECT CLASS (Dollars in Thousands) Budget Program: Bureau of Economic Analysis Sub-program: National Economic Accounts Program Change: Big Data for Small Business FY 2016 FY 2016 Object Class Increase Total Program 11.0 Personnel compensation 11.1 Full-time permanent 856 856 11.3 Other than full-time permanent 0 0 11.5 Other personnel compensation 0 0 11.8 Special personnel services payments 0 0 11.9 Total personnel compensation 856 856 12.0 Civilian personnel benefits 242 242 13.0 Benefits for former personnel 0 0 21.0 Travel and transportation of persons 9 9 22.0 Transportation of things 0 0 23.1 Rental payments to GSA 0 0 23.2 Rental Payments to others 0 0 23.3 Communications, utilities and miscellaneous charges 7 7 24.0 Printing and reproduction 0 0 25.1 Advisory and assistance services 0 0 25.2 Other services 58 58 25.3 Purchases of goods & services from Gov't accounts 582 582 25.4 Operation and maintenance of facilities 0 0 25.5 Research and development contracts 0 0 25.6 Medical care 0 0 25.7 Operation and maintenance of equipment 0 0 25.8 Subsistence and support of persons 0 0 26.0 Supplies and materials 39 39 31.0 Equipment 125 125 99.0 Total obligations 1,918 1,918"

Taken from pages 26-31 of this report.

U.S. innovation data (Small Business Focused)

Example SBA Advocacy Report on Small Business Invention

US R&D Funding data

WIPO List of Innovation Databases

SBIR data

Federal funding for R&D

Data check: U.S. government share of basic research funding falls below 50%

OECD R&D spending data by country

and PISA

BRDIS

Global Innovation Index 2017: Switzerland, Sweden, Netherlands, USA, UK Top Annual Ranking

The 16 most innovative countries in the world

IMD World Competitiveness Center

GEM data on US

NBER Historical Cross-Country Technology Adoption (HCCTA) Dataset

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