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Figure 1. Use of trackers on online lender websites
Lender Essential Site analytics Customer interaction Social media Advertising Total trackers
Company 1 3 5 2 1 7 18
Company 2 3 4 0 1 8 16
Company 3 2 5 2 1 6 16
Company 4 1 5 1 1 5 13
Company 5 3 3 1 1 3 11
Company 6 3 3 1 2 2 11
Company 7 2 5 0 1 2 10
Company 8 1 3 1 1 3 9
Company 9 2 2 1 1 2 8
Company 10 2 4 0 1 0 7

Note: Company names have been anonymized and relabeled to indicate that the order in which they are listed here does not correspond with the order in table 1.

Essential includes tag managers, privacy notices, and technologies that are critical to the functionality of a website.

Site analytics collects and analyzes data related to site usage and performance.

Customer interaction includes chat, email messaging, customer support, and other interaction tools.

Social media integrates features related to social media sites.

Advertising provides advertising or advertising-related services such as data collection, behavioral analysis, or retargeting.

Source: Analysis by Scott Colgate, Federal Reserve Board, as of July 16, 2019.

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Figure 1. Likelihood of approval for at least some financing at lending source, by race/ ethnicity (2018)
Race/ethnicity Average adjusted predictions (percent)
Overall Large banks Small banks Online lenders
Non-Hispanic white 81.7 64.8 75.9 84.6
Non-Hispanic black 74.4 44.8 58.8 83.0
Hispanic 78.0 67.0    

Note: The likelihood of approval overall refers to approval at any lender source for all types of credit. The likelihood of approval at each respective lending source refers to approval only for loan or line of credit products. Results are from a series of logistic regressions controlling for revenue size, credit score, profitability, urban/rural location, age, industry, state, veteran-owned, woman-owned, and employee size. Estimates are displayed as average adjusted predictions. Asterisks on minority-owned firm estimates denote statistical differences from white-owned firms: *** p<0.01, ** p<0.05, * p<0.1

Source: The authors’ analysis based on 2018 Small Business Credit Survey (SBCS) data.

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Figure 2. Likelihood of reporting reason for not submitting credit application, by race/ethnicity of firm ownership (2018)
Race/ethnicity Discouraged from applying Sufficient financing in place
Non-Hispanic white 12.4 55.9
Non-Hispanic black 12.9 46.6
Asian 18.1 46.4
Hispanic 12.6 45.3

Note: The results are from a series of logistic regressions controlling for revenue size, credit score, profitability, urban/rural location, age, industry, state, veteran-owned, woman-owned, and employee size. Estimates are displayed as average adjusted predictions. Asterisks on minority-owned firm estimates denote statistical differences from white-owned firms: *** p<0.01, ** p<0.05, * p<0.1

Source: The authors’ analysis based on 2018 SBCS data.

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Figure 3. Likelihood of applying at lending source, by race/ethnicity of firm ownership (2018)
Race/ethnicity Average adjusted predictions (percent)
Overall Large banks Small banks Online lenders CDFIs
Non-Hispanic white 44.6 48.2 47.4 28.9 6.2
Non-Hispanic black 44.8 53.3 36.6 31.0 15.9
Asian 43.1 55.4 47.3 27.6 8.1
Hispanic 47.0 48.1 32.8 33.6 4.9

Note: Results are from a series of logistic regressions controlling for revenue size, credit score, profitability, urban/rural location, age, industry, state, veteran-owned, woman-owned, and employee size. Estimates are displayed as average adjusted predictions. Asterisks on minority-owned firm estimates denote statistical differences from white-owned firms: *** p<0.01, ** p<0.05, * p<0.1

CDFIs Community development financial institutions.

Source: The authors’ analysis based on 2018 SBCS data.

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Figure 1. Average number of financial service providers by income level of zip code
Zip code median household income quartile Banks Credit unions AFS providers
Lowest
2007 2.311564   1.124274727
2008 2.33032   1.169207934
2009 2.330185   1.134124949
2010 2.309 0.432465254 1.119821886
2011 2.301309 0.508298475 1.12643368
2012 2.271758 0.500472271 1.152071245
2013 2.235326 0.486843881 1.229118877
2014 2.194576 0.480636891 1.252732425
2015 2.148698 0.472810687 1.23127783
2016 2.108892 0.466468763 1.207799217
2017 2.058831 0.459452166  
2018 2.019566 0.450141681  
Lower-middle
2007 2.856202   0.95562286
2008 2.896892   1.017382144
2009 2.897287   0.972214907
2010 2.868712 0.495786147 0.954437714
2011 2.855412 0.589939426 0.94521991
2012 2.818804 0.57334738 0.94745852
2013 2.783777 0.566368185 1.013695022
2014 2.728206 0.561495918 1.039768238
2015 2.680932 0.555306821 1.03713458
2016 2.637214 0.548195944 1.006715828
2017 2.579273 0.546484066  
2018 2.523308 0.542006848  
Upper-middle
2007 2.908576   0.748517982
2008 2.963773   0.789224081
2009 2.975497   0.746541958
2010 2.944935 0.483335529 0.721380582
2011 2.930707 0.579633777 0.711763931
2012 2.911869 0.578052957 0.719536293
2013 2.881965 0.575681728 0.762745356
2014 2.836385 0.57014886 0.7798709
2015 2.801212 0.57093927 0.787116322
2016 2.764326 0.566723752 0.76603873
2017 2.704387 0.572915294  
2018 2.644974 0.573310499  
Upper
2007 4.449631   0.683544304
2008 4.590454   0.712552743
2009 4.647943   0.632515823
2010 4.628296 0.559994726 0.609968354
2011 4.646888 0.698839662 0.590849156
2012 4.633966 0.660733122 0.630142405
2013 4.610232 0.65664557 0.644382911
2014 4.551292 0.659150844 0.668908228
2015 4.503165 0.660733122 0.682093882
2016 4.445807 0.659941983 0.65585443
2017 4.356804 0.655986287  
2018 4.283096 0.667721519  

Note: “Average number of financial institutions” includes main and branch locations. Only zip codes with an associated geographic area are included in the analysis.

Source: Federal Deposit Insurance Corporation, Summary of Deposits, Branch Office Deposits for June of given year; National Credit Union Administration, Call Report Quarterly Data for June of given year except 2010 and 2013, where September data were used due to data unavailability; U.S. Census Bureau, 2007 through 2016 County Business Patterns Complete ZIP Code Industry Detail Files; and U.S. Census Bureau, 2013–17 American Community Survey 5-Year Estimates, Table S1901.

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Figure 2. Number of small loans to businesses by FFIEC income designation of business's census tract (Loans under $1M)
FFIEC income designation of business's census tract Year
2009 2010 2011 2012 2013 2014 2015 2016 2017
Low 188,483 127,617 161,433 262,543 237,476 264,078 292,381 336,796 338,904
Moderate 941,304 609,079 759,714 935,924 817,942 932,446 1,027,076 1,219,281 1,154,374
Middle 2,824,515 1,813,131 2,231,301 2,319,400 1,951,490 2,179,723 2,369,036 2,858,125 2,436,121
Upper 2,076,290 1,554,004 1,892,932 2,084,512 1,859,295 2,087,476 2,262,521 2,881,893 2,497,246

Source: Federal Financial Institutions Examination Council (FFIEC) Community Reinvestment Act lending data, National Aggregate Reports.

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Last Update: November 06, 2019