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PPP loans in Illinois

The Small Business Administration guaranteed 620,004 Paycheck Protection Program loans to businesses operating in Illinois, $37.3 billion in all: 4.7% of the program’s dollars. 539,743 of those loans carry a forgiveness amount in SBA’s file as of September 30, 2024.

Illinois, as of September 30, 2024

$37.3 billion
Approved
$37,288,274,340
As each loan now stands in SBA’s file.
4.7%
Share of the program
Of the $792.6 billion approved nationally, as each loan now stands.
620,004
Loans
469,690 first draws and 150,314 second draws.
87.1%
Forgiven
539,743 of 620,004 loans carry a forgiveness amount, $35.3 billion in all.
10.1%
Charged off
62,508 of 620,004 loans, approved for $1.4 billion. That is the loans' size, not what SBA lost.

Every county in Illinois, as SBA names it

The county is SBA’s name for where the business operates. A loan SBA filed with no county is counted under “Not stated” rather than left out.

Paycheck Protection Program loans in Illinois by county, as of September 30, 2024
CountyApprovedLoansForgiven loans
Cook$18,742,151,992330,807273,283
Dupage$4,322,086,96842,19338,686
Lake$2,028,307,28124,80422,765
Will$1,603,960,65927,26523,859
Kane$1,458,566,18117,09715,198
Winnebago$733,437,09110,8519,026
McHenry$669,527,3079,2128,670
Saint Clair$489,015,0518,4837,486
Madison$487,711,6747,6597,099
Peoria$460,494,3886,8646,007
Sangamon$447,467,6037,6096,825
Champaign$398,529,1777,2436,381
McLean$362,806,6995,8865,423
Rock Island$278,432,2723,7653,433
Tazewell$225,731,7713,3503,244
Kankakee$202,745,3313,6863,246
La Salle$195,397,1393,5773,445
Macon$193,618,6153,5163,080
Dekalb$182,633,3243,6093,217
Kendall$180,981,1434,3043,812
Adams$162,720,5443,3323,273
Effingham$144,342,9222,5172,492
Williamson$125,402,8272,2252,122
Grundy$110,890,4871,5491,458
Vermilion$106,664,0102,4832,177
Whiteside$100,951,0772,0371,981
Stephenson$99,273,9812,2572,028
Ogle$93,456,8312,0161,966
Henry$89,376,0952,1062,061
Knox$86,618,7821,8501,715
Coles$85,874,5561,7901,666
Livingston$85,071,6572,0001,963
Woodford$84,540,2381,4111,392
Jackson$78,382,9711,8671,668
Clinton$77,372,6201,8581,823
Jefferson$75,051,2651,8131,717
Iroquois$74,244,8232,0161,988
Macoupin$73,354,1541,9071,873
Morgan$70,992,3791,4501,409
Lee$70,430,2851,4341,404
Monroe$69,081,5381,3761,329
Marion$65,745,2611,4681,419
Bureau$64,605,0281,5781,547
Boone$64,373,0971,1761,102
Randolph$61,907,365945912
Jo Daviess$61,073,0051,6051,573
Franklin$51,537,543962932
Christian$50,676,9801,4821,463
Montgomery$47,942,1141,3981,386
McDonough$46,841,6611,2791,235
Crawford$42,770,318724709
Washington$42,246,3971,0851,074
Saline$39,898,050805774
Hancock$39,766,5321,4291,413
Logan$39,095,3391,0511,010
Fulton$38,236,2571,4191,399
Jersey$35,338,736888876
Fayette$30,647,8321,1781,151
Carroll$30,568,809980976
Moultrie$30,392,143547539
Edgar$30,031,304793782
White$29,771,966824817
Pike$29,579,5471,2971,292
Clark$29,349,455742727
Douglas$28,539,116719705
Clay$28,291,130786773
Richland$28,069,359976970
Wayne$28,050,218904894
Shelby$27,895,2541,3151,303
Perry$27,274,094593576
Warren$27,130,373895880
Ford$26,617,864774758
Wabash$26,309,343528522
Mercer$24,930,366931922
Bond$24,598,668738720
Jasper$24,260,1301,1221,119
Piatt$23,679,854601588
Union$21,912,427597592
Dewitt$20,330,153512499
Putnam$19,858,715275270
Lawrence$19,326,227545540
Mason$18,992,357695683
Cass$17,811,918609601
Marshall$17,515,707524515
Massac$16,927,657475460
Greene$16,509,537747738
Hamilton$15,482,548530524
Stark$14,649,064464461
Cumberland$13,694,609645635
Menard$13,237,357510499
Brown$12,885,440330324
Edwards$11,970,190362359
Schuyler$10,479,658392389
Johnson$9,617,498426420
Henderson$8,853,795415408
Scott$7,145,220306303
Gallatin$6,836,276230227
Pulaski$4,779,712229213
Alexander$4,447,101159146
Calhoun$4,050,379211210
Pope$2,659,078122118
Hardin$2,229,9836666
Not stated$335,5111715

Illinois elsewhere on the Factbook

  • Reported crimeCrime and justice

    Offenses reported to police by type, the trend, and the reporting coverage.

  • Cities by violent crime rateCrime and justice

    What each agency serving 25,000 or more reported, ranked. Agency populations overlap, so these do not add up to the state.

  • Prison populationCrime and justice

    People held under the state’s correctional authority, and the imprisonment rate. A different publisher counting a different thing.

  • Arrests by race, sex and ageCrime and justice

    Arrests as the FBI’s participating agencies reported them, with what the figures can and cannot support at the top.

  • Hate crimeCrime and justice

    Incidents reported to the FBI by bias motivation, as counts — the collection publishes no participation share, so there is no rate to compare states on.

  • Federal obligationsFederal spending

    What federal agencies obligated against a place of performance in the state, per resident and by agency.

  • Registered nonprofitsNonprofits

    How many organizations the IRS lists in the state, what they report as revenue, and which kinds of work they do.

  • Payments to doctorsHealth

    What drug and device companies reported paying doctors with a practice address in the state, and the largest recipients.

  • Immigration courtsImmigration and the border

    The EOIR courts sitting in the state, what they completed and still have pending, and how far apart their asylum grant rates are. The courts, not the state’s residents: a detention court hears cases from far outside it.

  • Farm program paymentsFarm subsidies

    What the Farm Service Agency paid through the state’s county offices, by program and by recipient. The offices that administered the payments, not a count of farms: a recipient addressed elsewhere is counted where they were paid.

  • The Illinois Factbook entryAcross the Factbook

    Every measure the Factbook publishes for this state in one place, each with where it ranks among the others and the record it came from.

The immigration link above is EOIR’s courts, which sit in this state. CBP’s encounters are not by state and will not be: its sectors and field offices are areas of responsibility rather than a geography, and assigning them to states would be a claim the data does not make. Immigration and the border.

Sources

Data retrieved