EMBI Data Room· DOC 02
Glossary
Regional Breakdown · Kansas & Missouri · SBA FOIA Register

Kansas and Missouri, loan by loan.

The regional cut: county-level penetration, metro concentration, sector mix and loss history across the two-state footprint the initiative underwrites.

32,333
Regional loans
210
Counties
2
States
In plain terms

What does that lending look like in Kansas and Missouri?

  1. 01Roughly 32,000 of those loans landed in Kansas and Missouri, spread unevenly across 210 counties.
  2. 02Kansas City and St. Louis absorb most of the volume, while rural counties receive very little relative to the businesses in them.
  3. 03The sector mix and loss history here look different from the national average, which matters for how the initiative is priced.

Everything below is the evidence for those three sentences. You can read only this box and still follow the argument. Underlined terms open a plain definition — the full glossary has them all.

PLATE 01

The regional
scorecard.

Kansas and Missouri together took 3.2% of national 7(a) loans and 2.8% of 504 debentures. On volume they are a mid-sized market. On credit performance they are, by a clear margin, better than the national book.

LoansGross approvedAvg loanCharge-off rate
KS+MO 7(a)32,336$4.99B$154,35418.2%
National 7(a)1,008,922$189B$186,98520.2%
KS+MO 5046,275$3.27B$521,16410.8%
National 504224,331$146B$652,8209.8%

Approvals by fiscal year · 7(a)

How to read this

Each bar is how many loans were approved that year; the line is the average size of those loans.

Rising bars mean more loans got made; a climbing line means loans got bigger, not just more numerous.

Bars: loans approved. Line: average loan size.

199219941996199820002002200420062008

Approvals by fiscal year · 504

How to read this

Each bar is how many loans were approved that year; the line is the average size of those loans.

Look for a trend in the bars over time, but treat the last bar as partial since FY2026 only covers three months.

FY2026 covers October–December 2025 only.

199219951998200120042007201020132016201920222025

Kansas 7(a) borrowers charged off at 16.4% of resolved loans against a national rate of 20.2%. Missouri came in at 19.2%. Neither state's advantage comes from lending less — it comes from who wrote the loans.

7(a), FY1992–FY2009 · 28,551 resolved loans in region
PLATE 02

Where the money
actually went.

219 of 220 counties recorded at least one 7(a) loan. That looks like universal coverage until you weight it — four metro clusters absorbed three-quarters of the region's approvals, and 25 counties have never seen a single 504 debenture in thirty-four years.

Program
Labels

Counties by loan count · 7(a)

Top twenty of 220.

CountyMetroLoansCharge-off
Saint Louis, MOSt. Louis3,77719.9%
Johnson, KSKansas City (KS side)3,01416.6%
Jackson, MOKansas City (MO side)2,66718.4%
Greene, MOSpringfield2,28517.8%
Sedgwick, KSWichita2,11316.6%
Saint Charles, MOSt. Louis1,22321.1%
Saint Louis City, MOSt. Louis1,05520.7%
Boone, MOColumbia70517.0%
Clay, MOKansas City (MO side)64021.0%
Jasper, MOJoplin61822.1%
Jefferson, MOSt. Louis52017.8%
Christian, MOSpringfield49023.8%
Wyandotte, KSKansas City (KS side)48817.0%
Shawnee, KSTopeka46117.4%
Douglas, KSLawrence44914.7%
Camden, MO—42117.8%
Cole, MO—40315.8%
Taney, MOBranson / Taney37722.9%
Platte, MOKansas City (MO side)29519.6%
Franklin, MOSt. Louis29424.2%

Metro clusters · 7(a)

Counties grouped to metropolitan areas.

MetroCountiesLoans
Non-metro1678,007
St. Louis87,047
Kansas City (MO side)94,029
Kansas City (KS side)63,789
Springfield53,171
Wichita52,603
Joplin2802
Columbia4792
Topeka5567
Branson / Taney2527
Lawrence1449
Manhattan2327

The rural counties got less credit — and the credit they got performed better. Non-metro Kansas and Missouri borrowers charged off at 16.7% against a regional average of 18.2% and a national 20.2%.

7(a) · counties outside the eleven metro clusters · 8,010 loans
PLATE 03

The Kansas City
line.

One labor market, one media market, two sets of state institutions and two SBA district offices. The metro is the largest SBA market in either state.

Kansas City metro · 7(a) loans by county
0
KC metro 7(a) loans
0
KC metro 504 loans
—
KC metro 7(a) charge-off

Reading the Johnson–Wyandotte gap

Johnson and Wyandotte counties share a border, an area code and a metropolitan statistical area — but a wide gap in access and outcomes, detailed in the source register.

PLATE 04

What this region
borrows for.

The industry mix here is not the national mix. Kansas and Missouri over-index in construction, manufacturing and retail, and — in 504 specifically — carry an unusually heavy hospitality concentration that shows up directly in the loss column.

Sector concentration against the national book · 7(a)

How to read this

Each bar compares how much this region lends to an industry against how much the whole country lends to it.

Bars pointing right mean the region leans into that industry more than average; bars pointing left mean it leans away.

Each bar is the region's share of approvals in that sector minus the national share. Bars to the right mean the region lends into that industry more heavily than the country does.

Retail TradeOther ServicesConstructionAccommodation & Food ServicesManufacturingHealth Care & Social AssistanceProfessional & Technical ServicesWholesale TradeAdministrative & Waste ServicesTransportation & WarehousingArts, Entertainment & RecreationAgriculture & ForestryReal Estate & RentalInformationFinance & InsuranceEducational ServicesMining & ExtractionUtilitiesPublic AdministrationManagement of Companies

7(a) by sector · region vs national

SectorLoansShareNat. shareCharge-off
Retail Trade4,74219.4%15.3%23.8%
Other Services2,62410.8%8.9%18.2%
Construction2,49310.2%7.4%20.4%
Accommodation & Food Services2,4189.9%8.6%26.3%
Manufacturing2,2199.1%7.2%17.8%
Health Care & Social Assistance2,0098.2%6.5%13.6%
Professional & Technical Services2,0088.2%7.6%13.9%
Wholesale Trade1,2915.3%5.2%17.5%
Administrative & Waste Services1,2095.0%3.8%16.5%
Transportation & Warehousing7823.2%2.5%19.7%

504 by sector · region vs national

SectorLoansShareNat. shareCharge-off
Accommodation & Food Services97918.4%12.7%24.4%
Retail Trade75014.1%11.5%12.4%
Manufacturing69413.0%11.4%11.2%
Health Care & Social Assistance56310.5%12.5%8.3%
Other Services56110.5%8.4%6.0%
Professional & Technical Services4408.3%8.0%2.9%
Construction3055.7%6.6%6.1%
Wholesale Trade3055.7%6.2%5.6%
Arts, Entertainment & Recreation1763.3%2.6%18.2%
Administrative & Waste Services1192.2%2.2%—

Most-funded industries · 7(a)

IndustryLoansAvg loan
Full-Service Restaurants1,049$174,132
Limited-Service Restaurants653$173,980
General Automotive Repair603$123,664
Offices of Chiropractors493$85,591
Child Day Care Services436$152,406
Offices of Dentists403$228,695
Landscaping Services391$70,523
Beauty Salons352$80,250
Beer, Wine, and Liquor Stores293$124,582
Gift, Novelty, and Souvenir Stores281$88,723

Most-funded industries · 504

IndustryLoansAvg loan
Hotels (except Casino Hotels) and Motels357$1,139,891
Full-Service Restaurants319$520,646
Limited-Service Restaurants196$515,990
Child Day Care Services154$505,844
General Automotive Repair147$283,612
Offices of Dentists117$512,479
Gasoline Stations with Convenience Stores112$460,554
Veterinary Services107$403,770
Car Washes98$373,501
Automotive Body, Paint, and Interior Repair and Maintenance78$363,833

504 hospitality lending is 45% more concentrated here than nationally — 18.4% of the region's debentures against 12.7% of the country's — and it charges off at 24.4% against a national 19.4%. Branson and the Lake of the Ozarks are visible in the credit data.

504 accommodation & food services · FY1992–FY2026
PLATE 05

Who writes
the loans here.

Loans written by banks headquartered in Kansas or Missouri charged off at a materially lower rate than loans written into the region by out-of-region institutions.

Top 7(a) lenders in the region

Ranked by loans written to Kansas and Missouri borrowers.

LenderLoansGross
U.S. Bank, National Association3,447$437M
Bank of America, National Association3,204$256M
Commerce Bank2,682$290M
The Central Trust Bank1,601$244M
Simmons Bank1,223$247M
UMB Bank, National Association954$191M
Regions Bank706$127M
Enterprise Bank & Trust648$111M
Readycap Lending, LLC617$284M
INTRUST Bank, National Association577$89M
BMO Bank National Association567$99M
Capital One, National Association567$24M

Certified development companies · 504

CDCLoansGross
Rural Missouri, Inc.1,998$1.13B
St. Charles County Economic De930$503M
Heartland Business Capital, In531$283M
STL Partnership CDC491$251M
Frontier Financial Partners, I369$236M
Wakarusa Valley Development, I336$148M
Enterprise Development Corpora269$132M
South Central Kansas Economic239$107M
Mo-Kan Development, Inc.183$68M
Clay/Platte Development Corpor146$69M
EDC Loan Corporation130$67M
Small Business Growth Corporat129$84M
PLATE 06

Lower beta,
higher base rate.

A count-based reading of this region says it outperformed the national book. A dollar-weighted, vintage-matched reading says something more precise and more useful — and the difference matters for anyone pricing a ten-year instrument against it.

Two readings of the same book

By loan count across FY1992–FY2009, Kansas and Missouri charged off 18.1% against a national 20.2%. By dollars, it reverses: 11.1% against 10.6%.

Decomposed by origination vintage the reason is clear. The region lost more than the nation in every cohort from FY1992 through FY2004, and substantially less in the FY2006–FY2008 crisis cohorts. The full-period count advantage is a mix effect: national volume was enormous in exactly the years the region avoided.

This is a lower-beta, higher-base-rate market. Worse in calm conditions, materially better in a downturn. That is a defensible characteristic for long-dated paper — but it cannot be presented as simple regional outperformance, because on dollars across the cycle it is not.

FYRegion loansRegion lossNat. lossRegion chg-offNat. chg-off
19921,2574.7%4.3%10.7%8.9%
19931,3224.9%3.4%11.3%8.0%
19941,7086.2%4.0%13.2%10.0%
19952,3717.6%5.4%14.6%12.5%
19961,7087.3%6.2%14.6%13.0%
19971,3817.7%6.1%14.6%12.3%
19981,1957.6%7.4%13.5%13.4%
19991,04210.9%8.6%17.2%14.0%
20001,04713.6%9.3%18.8%14.7%
20011,0219.9%8.9%16.4%14.6%
20021,21211.2%7.1%17.3%13.3%
20031,5669.3%7.3%16.2%15.4%
20041,95010.0%8.6%19.5%18.5%
20052,41314.0%13.4%21.9%24.6%
20062,26117.8%19.9%26.9%32.3%
20072,39521.0%24.0%27.1%37.1%
20081,73918.3%18.6%21.9%30.6%
20091,1539.9%8.0%15.3%14.7%

Gross loss by vintage · region against nation

How to read this

Two lines track what share of loan dollars were eventually lost, grouped by the year the loan was made, for the region and the nation.

Where the region's line sits below the national line, its loans from that year lost less money.

Charged-off principal as a share of original approved balance, by fiscal year of approval.

199219941996199820002002200420062008
Kansas & MissouriNational

The controllable driver

Gross loss by origination channel, national, FY1994–FY2005 vintages. Channel is the one large driver that an origination agreement can actually specify.

ChannelLoansGross loss
Community Express13,463
19.1%
International Trade Loans2,092
14.3%
SBA Express Program171,664
12.9%
Low Documentation Program124,986
10.4%
Preferred Lenders Program130,868
7.6%
7a General86,532
7.6%
Certified Lenders Program33,162
5.3%
7a with EWCP2,200
2.6%
PLATE 07

The mission-lending
baseline is forty loans.

Joining the National Bankers Association MDI network on FDIC certificate number, and the certified-CDFI depositories on verified name, state and institution type, gives a countable answer to how much Kansas and Missouri small-business capital has ever moved through mission lenders.

40
Loans by verified mission lenders
38
CDFI depositories in region
2
MDI banks in region
$6.2M
Mission-lender capital moved

Every verified mission-lender depository in the region

CDFI-listed institutions appearing in the 7(a) register with name, state and institution type all confirmed, plus the NBA-network MDI total.

InstitutionCityYearsLoansCapitalCharge-off
Central Bank of Kansas CityKansas City, MO1993–200413$2.2M46.2%
Legacy Bank & Trust CompanyPlato, MO1992–200616$2.7M11.1%
Century Bank of the OzarksGainesville, MO1994–20079$1.4M10.0%

Charge-off rates on samples this small are not credit signals. Central Bank of Kansas City's 46.2% rests on thirteen loans. It is reported because it is the only mission-lender track record that exists in this metro, and diligence will find it.

Additionality, and the gap behind it

Additionality is normally argued. Here it can be counted. Against a regional market that moved $4.39B of 7(a) capital, mission lenders originated $6.2M — 0.14% of the dollars. There is no displacement story to rebut and no attribution dispute to have.

The same figure reads differently to a rating committee: there is no regional loss history for mission-lender origination because there are essentially no regional mission-lender originations. Origination capacity has to be built or imported, and the plan should say which.

The NBA network's physical footprint in the two states is 4 branches across three institutions. Nationally the network originated 0.8% of 7(a) capital, and 31 of its 43 institutions appear in the register at all.

Why the CDFI figure will also read near zero

Non-depository CDFIs — loan funds, the largest category by count — could not originate 7(a) at scale during the period this file covers. Community Advantage opened the programme to mission-driven non-depositories in 2011; SBA lifted the moratorium on new Small Business Lending Company licences in 2023. A historical CDFI share measures a rule, not a market. AltCap, Great Rivers Community Capital and Gateway Community Development Fund appear nowhere in the register, which is exactly what that rule predicts.

PLATE 08

Where the credit
is not going.

Loan counts alone cannot show a gap — a gap needs a denominator. Jackson County employment data supplies one: credit intensity per thousand jobs, set against how specialised the county already is in each industry.

Credit intensity against employment · Jackson County, MO

Two-digit NAICS, which is stable across the 2002–2022 code revisions. Credit index is the sector's share of county SBA lending divided by its share of covered employment; 1.0 is parity. Location quotient above 1.0 means the county is more concentrated in that industry than the country.

SectorEmployeesEmp. shareLend. shareCredit indexLQ
Health Care56,07420.3%8.6%0.431.13
Accommodation & Food35,60912.9%10.0%0.771.07
Professional Services34,44612.4%11.3%0.901.57
Retail Trade29,44810.6%15.8%1.490.96
Construction23,2218.4%10.7%1.271.29
Finance & Insurance16,0905.8%1.7%0.291.53
Administrative Services14,1945.1%5.4%1.060.77
Manufacturing11,1114.0%9.2%2.302.02
Other Services10,6923.9%11.5%2.981.23
Wholesale Trade9,0593.3%6.4%1.941.00
Management of Companies7,1332.6%0.0%0.021.14
Arts & Recreation6,6642.4%1.8%0.742.27
Educational Services6,2912.3%1.0%0.421.08
Transportation5,5252.0%2.4%1.210.68
Information5,3111.9%2.1%1.081.51
Real Estate & Rental5,3021.9%2.1%1.111.08
Agriculture6180.2%0.0%0.221.52

Covered employment is 276,788 jobs across 107 industries. BLS suppresses every industry under 500 employees and all non-private employment, so the smallest firms — the SBA borrower profile — are excluded from the denominator. Sectors such as management of companies show near-zero intensity because they sit outside SBA size and eligibility standards, not because they are underserved.

Specialised and growing, thinly lent

Four-digit industries with the highest location quotients in the county, with last year's employment change.

IndustryEmployeesLQGrowth
Spectator Sports1,8424.48-6.1%
Other Fabricated Metal Product Manufacturing2,6093.8610.5%
Converted Paper Product Manufacturing1,7102.643.6%
Museums, Historical Sites, and Similar Institutions1,0632.451.6%
Performing Arts Companies7212.240.0%
Petroleum and Coal Products Manufacturing5692.16-2.6%
Architectural, Engineering, and Related Services8,7252.112.7%
Agencies, Brokerages, and Other Insurance Related Activities7,0112.081.2%

New firm survival · the countervailing signal

How to read this

This line tracks what share of recently founded businesses in the county are still open, over time.

A falling line means newer waves of businesses are surviving at lower rates than earlier ones.

Share of establishments founded in the preceding five years still operating. Census Business Dynamics Statistics, Jackson County.

201520162017201820192020202120222023

FY2015–FY2017 cohorts averaged 65.9% five-year survival; FY2019–FY2023 cohorts average 54.9%.

Fabricated metal manufacturing carries a location quotient of 3.86 and grew 10.5% last year. Nonresidential construction and architectural & engineering services (2.11 quotient, 8,725 employees) show the same pattern — high specialisation, positive or flat growth, thin credit. That is the origination thesis, stated specifically enough to act on.

Jackson County, MO · BLS QCEW 2025 annual file · SBA FOIA register
PLATE 09

Who to
originate through.

Ranked on what the loss analysis says actually matters: performance against the national benchmark, reach outside the fourteen metro-core counties, avoidance of Express-family channels, and scale. Two lists, with very different shelf lives.

Read the two lists differently

The 504 list is current. Those records run through FY2026, so approvals since FY2020 measure live origination capacity. This is the actionable sheet.

The 7(a) list is historical. Those records end at FY2009. It ranks how institutions behaved, not what they can do now — several have since merged or left SBA lending. Treat it as a qualification list, not a call list.

Certified development companies · current 504 origination in the region

Tier 1 requires forty or more approvals since FY2020 and a charge-off rate below 15%.

Certified development companyTierLoansCapitalAvgCharge-offOutside metro coreCountiesSince FY2020Last
Rural Missouri, Inc.
Tier 1 — priority1,619$886M$546,97312.1%51%1102782025
St. Charles County Economic De
Tier 1 — priority701$359M$512,0468.6%22%32892025
Heartland Business Capital, In
Tier 1 — priority452$234M$517,6113.4%4%20872025
STL Partnership CDC
Tier 2 — qualify386$190M$490,9908.4%3%13222024
Frontier Financial Partners, I
Tier 1 — priority325$203M$623,67212.2%64%43402025
Wakarusa Valley Development, I
Tier 1 — priority270$118M$435,25010.9%11%20422024
Enterprise Development Corpora
Tier 2 — qualify231$112M$485,55910.7%44%25262025
South Central Kansas Economic
Tier 3 — conditional192$85M$442,22920.7%64%37102024
Mo-Kan Development, Inc.
Tier 3 — conditional156$60M$382,37213.3%96%2982025
Clay/Platte Development Corpor
Tier 3 — conditional130$58M$447,3775.9%8%10132025
Small Business Growth Corporat
Tier 3 — conditional105$58M$554,83816.9%10%12172024
EDC Loan Corporation
Dormant100$52M$516,5805.4%3%602016
Pioneer Country Development, I
Dormant94$32M$339,1498.0%94%3132020
Meramec Regional Development C
Tier 3 — conditional76$28M$365,27631.0%95%2352024

7(a) originators · qualification list

Composite score weights charge-off performance 35%, lending outside the metro core 25%, avoidance of Express-family channels 20%, scale 20%.

LenderTierLoansAvgC/OOutside coreExpress
The Citizens State Bank · KS
Tier 1 — priority114$123,1797.0%93%49%
Hawthorn Bank · MO
Tier 1 — priority179$124,4019.5%84%52%
The Central Trust Bank · MO
Tier 1 — priority1,477$153,35016.6%55%51%
Simmons Bank · AR
Tier 1 — priority1,139$203,18721.7%54%26%
Emprise Bank · KS
Tier 1 — priority222$160,67010.4%61%40%
Conway Bank · KS
Tier 1 — priority104$129,2756.7%56%33%
Peoples Bank and Trust Company · KS
Tier 1 — priority127$165,12514.2%96%48%
UMB Bank, National Association · MO
Tier 1 — priority841$196,30011.4%21%33%
Equity Bank · KS
Tier 2 — qualify289$138,30411.5%69%56%
Citizens National Bank of Springfield · MO
Tier 2 — qualify161$178,1004.3%26%34%
Enterprise Bank & Trust · MO
Tier 2 — qualify579$170,47611.8%9%21%
Community National Bank & Trust · KS
Tier 2 — qualify102$117,16511.8%96%67%
INTRUST Bank, National Association · KS
Tier 2 — qualify532$154,34812.6%21%34%
Southwest Missouri Bank · MO
Tier 2 — qualify153$121,38615.7%99%67%

7(a) originators · the pattern to avoid

The bottom of the same ranking. Note the relationship between Express-family share and loss: these are not banks that lent to worse borrowers so much as institutions running a different product.

LenderLoansAvg loanExpress shareCharge-off
Bank of Hope · CA
324$20,73599%46.6%
VelocitySBA, LLC · TX
203$9,28681%34.5%
Capital One, National Association · VA
552$43,207100%37.9%
Business Loan Center, LLC · SC
218$252,98562%42.7%
NBKC Bank · KS
103$172,25228%28.7%
PNC Bank, National Association · DE
478$116,58277%23.7%
Premier Bank · KS
114$203,33251%14.9%

The covenant this implies

Nationally, Certified Lender Program originations lost 5.32% of balance against 12.89% for SBA Express and 19.13% for Community Express over identical vintages. A cap on streamlined-channel share, or a Certified Lender Program documentation standard, is a cheap and evidence-backed credit enhancement that costs nothing in mission terms.

The counties to place it in

Twenty-five counties have received no 504 debenture in thirty-four years — fifteen in Kansas, ten in Missouri. Fixed-asset capital is what anchors a business to a place, and this is where none has gone.

Kansas · 15
Chautauqua · Clark · Comanche · Elk · Harper · Jewell · Lane · Morton · Ness · Ottawa · Rush · Stanton · Washington · Wichita · Woodson
Missouri · 10
Chariton · Clark · Howard · Knox · Lewis · Oregon · Putnam · Reynolds · Shelby · Worth
PLATE 10

The modern era,
and what reversed.

FY2020–FY2026 7(a) records, as of 30 June 2026, added to the analysis. The programme this region participates in today is not the programme described in the preceding nine plates — the average loan is nearly three times larger, the channel mix has inverted, and on access the region has crossed from above the national rate to below it.

Read the modern loss figures as directional only

Just 23.7% of FY2020–FY2026 loans have resolved. Median time from approval to charge-off is 4.2 years and only 44% of ultimate loss emerges by year five. Every charge-off rate in this plate will rise materially. They are useful for ranking, not for pricing.

A ten-year hole remains. FY2010–FY2019 7(a) is still not in the dataset. Nothing here bridges FY2009 to FY2020, so no seasoned post-crisis vintage exists in this analysis.

8,056
Funded 7(a) loans in KS & MO, FY2020–FY2026
$4.26B
Regional capital approved
$529,121
Average loan — 2.9× the legacy era
200 / 220
Counties with at least one loan in seven years

Then and now · the same programme, restructured

Funded 7(a) loans. Left column FY1992–FY2009, right column FY2020–FY2026.

MeasureFY1992–FY2009FY2020–FY2026
Funded loans885,217317,155
Capital approved$164B$171B
SBA-guaranteed share72.8%75.5%
Average loan$185,099$540,285
Median loan$80,000$200,000
Median term7 years10 years
Jobs per loan5.710.5
Sold into secondary market25%37%
Median initial ratenot recorded9.00%
Share of book resolved99.4%23.7%
Charge-off rate (resolved)20.2%9.2% unseasoned
Loss as share of balance10.66%0.52% unseasoned

Approvals and average loan · FY2020–FY2026

How to read this

Bars show how many loans were approved each year; the line shows the average loan amount.

Rising bars mean more lending activity; a rising line means loans are getting larger on average.

Bars: loans approved. Line: average gross approval. FY2026 covers October 2025 to June 2026 only.

'20'21'22'23'24'25'26
Loans approvedAverage loan

Channel mix has inverted

How to read this

This compares what share of loans went through each lending channel, then versus now.

A channel growing its share means more loans are now processed that way instead of the older methods.

Share of funded approvals by processing method. Low-documentation and Community Express are gone; Preferred Lenders is now the majority of the programme.

Preferred Lenders55%22%SBA Express37%39%7a General6%15%Low Documentation0%14%Certified Lenders0%5%Community Express0%4%Community Advantage1%0%
FY2020–2026FY1992–2009

Kansas and Missouri have crossed from above the national access rate to below it. In FY1992–2009 the region ran 356 loans per 100,000 residents against a national 304. Across FY2020–FY2026 it is 85 and 90 per 100,000 against a national 96.

Funded 7(a) loans per 100,000 residents · 2020 census population

The metro picture, current

Kansas City remains the larger of the two metros. The Johnson–Wyandotte gap has widened.

AreaLoansCapitalAvg loanJobs/loan
Kansas City metro2,284$1.23B$539,69811.6
St. Louis metro1,735$1.01B$581,49012.4
Johnson County, KS889$482M$542,38111.4
Jackson County, MO697$407M$584,01213.4
Wyandotte County, KS115$72M$626,22013.4
Greene County, MO529$303M$571,92813.1

Per 100,000 residents, Johnson County now runs 146 against Wyandotte's 68 — a 2.1× gap, wider than the 1.7× recorded across FY1992–FY2009.

Who lends here now

Top KS/MO originators, FY2020–FY2026. The roster has turned over almost completely from the legacy era.

LenderLoansCapitalAvgC/O
U.S. Bank, National Association
647$96M$148,3134.3%
OakStar Bank
545$398M$730,9721.7%
The Central Trust Bank
259$58M$224,012—
Commerce Bank
231$79M$340,067—
The Huntington National Bank
224$104M$464,129—
Live Oak Banking Company
174$280M$1,607,445—
The Bank of Missouri
168$60M$355,504—
BayFirst National Bank
163$31M$189,353—
Emprise Bank
157$70M$446,295—
UMB Bank, National Association
137$67M$485,593—
Readycap Lending, LLC
130$33M$252,810—
Regent Bank
129$69M$533,547—
Bank of Hays
124$30M$241,170—
Equity Bank
122$66M$539,629—

Borrower stage · a dimension the legacy file did not carry

The modern file records business age as a category. Change-of-ownership loans are the largest and, so far, the best performing; new businesses under two years old are the worst.

Borrower stageLoansAvg loanJobs/loanC/O
Existing or more than 2 years old
174,220$444,08010.38.5%
New Business or 2 years or less
52,532$468,063813.8%
Startup, Loan Funds will Open Business
51,565$542,53911.69.5%
Change of Ownership
34,978$1,150,70313.94.5%

Mission lending, current

Community Advantage opened 7(a) to mission-driven non-depositories in 2011 — after the legacy file ends. It is visible here for the first time.

ChannelLoansCapitalIn KS/MOC/O
NBA-network MDI banks1,568$1.33B11—
Community Advantage2,240$355M5228.3%
Regional mission-lender loans, FY2020–2663 of 8,0560.78%

The Community Advantage warning

Community Advantage is the channel EMBI's origination model most resembles, and it carries the worst performance of any modern 7(a) channel — 28.3% charge-off on the 36% of its loans that have resolved, against 6.1% for Preferred Lenders and 12.2% for SBA Express. On an unseasoned book that ordering is unlikely to improve. Whatever else the origination agreements specify, they should not replicate the Community Advantage credit box unmodified.

PLATE 11

Normalised by
entrepreneurship.

Kauffman Entrepreneurial Jobs Indicators, 2001–2024, joined to the lending register at county, metro and state level. Every access figure in the preceding plates used population as the denominator. Replacing it with actual young-firm job creation reverses one of them and sharpens another.

Read the access figures against this denominator

Per 100,000 residents, Kansas ranks 29th and Missouri 26th of 50 states — below the national rate. Normalised by net job creation at firms aged 0–1, Kansas ranks 20th and Missouri 18th, both slightly above the national mean. The population-denominated figures in Plates 01 through 10 should be read against this.

The region is not credit-constrained relative to its entrepreneurial activity. It converts business formation into SBA credit at a marginally better-than-average rate. The per-capita deficit reflects fewer young firms, not less willing lenders. That is a formation gap, not a capital gap — and it calls for a different intervention.

29.5 / 30.2
Loans per 1,000 young-firm jobs · KS / MO
29
National mean across 50 states
53%
Young-firm pay in KC vs national average
220 / 220
KS & MO counties with EJI coverage

Two denominators, two answers

Loans per 100,000 residents against loans per 1,000 net young-firm jobs. FY2020–FY2024 lending, EJI 2020–2024.

MeasureKansasMissouriNational
Loans per 100,000 residents6668—
Rank of 50 states29th26th—
Loans per 1,000 young-firm jobs29.530.229
Rank of 50 states20th18th—
Highest normalisedOH 62.6 · MN 56.5 · NH 55.3
Lowest normalisedTN 14 · AL 14.8 · DC 15.7

Across the 50 states the correlation between lending per capita and young-firm job creation is only 0.279 — the SBA delivery system tracks entrepreneurial activity weakly. Within Kansas and Missouri counties, the rank correlation between loan count and young-firm employment share is -0.231, i.e. slightly negative.

Young-firm job creation · jobs per 1,000 people

How to read this

Three lines track how many jobs new businesses created per 1,000 people, for Kansas, Missouri and the nation, over time.

A line below the others means that state's new businesses are creating fewer jobs relative to its population.

Net job creation at firms aged 0–1. Both states have run below the national rate for most of the period since 2010. Missouri's 2024 value is an incomplete-year artefact and should be disregarded.

'01'04'07'10'13'16'19'22
KansasMissouriUnited States

Kansas and Missouri counties · credit against entrepreneurship

Counties with census population available. “Normalised” is loans per 1,000 net young-firm jobs — the population term cancels, so it isolates conversion of entrepreneurial activity into credit.

CountyLoansPer 100kYoung-firm jobs /1kNormalisedYoung-firm payJob constancy
Greene, MO
406135.85.6847.840%54.7%
Jasper, MO
154125.44.8551.739%51.9%
Boone, MO
210114.44.4851.145%54.0%
Johnson, KS
684112.26.8232.964%54.1%
Jackson, MO
51471.75.32746%52.9%
Clay, MO
17468.74.3631.545%53.9%
Platte, MO
7166.54.7128.252%55.8%
St. Charles, MO
26364.93.813444%54.6%
St. Louis, MO
63663.35.722.250%56.0%
Sedgwick, KS
325624.6426.750%52.9%
St. Louis, MO
181605.2722.845%55.7%
Cass, MO
6459.44.1928.347%55.3%
Wyandotte, KS
9053.23.82849%48.8%
Douglas, KS
6252.24.1625.146%51.3%
Jefferson, MO
9240.62.5631.738%56.1%
Shawnee, KS
6636.93.6320.447%55.0%

The Johnson–Wyandotte gap is mostly formation, not denial

Wyandotte receives 53.2 loans per 100,000 residents against Johnson's 112.2 — the 2.1× gap shown in Plate 03. But Wyandotte's young firms create 3.8 jobs per 1,000 people against Johnson's 6.82. Normalised, the gap closes to 28 against 32.9 — roughly 1.2×.

Most of the credit differential between these two counties is explained by how few young firms Wyandotte has, not by lenders declining the ones it does have. The equity finding survives, but it relocates: the constraint is business formation and job quality, not loan approval.

Job quality at young firms · the mobility variable

Compensation is average earnings at firms aged 0–1 relative to the U.S. average. Constancy is the share of those jobs held for three consecutive quarters. National young-firm compensation is 0.646.

MetroYoung-firm payConstancyJobs /1kEmployment share
Kansas City53.4%53.3%5.172.9%
Wichita49.3%53.0%4.402.6%
St. Louis47.8%55.5%4.402.8%
Topeka44.0%54.6%3.562.5%
Columbia43.9%54.1%4.263.1%
Joplin41.4%53.0%4.083.0%
Springfield40.5%54.6%5.233.2%
United States64.6%54.3%5.273.3%

What has actually collapsed in Kansas City

How to read this

This line tracks how well jobs at new Kansas City businesses pay compared to the national average, over time.

A falling line means new-business jobs in Kansas City pay less relative to the rest of the country than before.

Relative compensation at young firms, Kansas City metro, 2001–2024.

'01'04'07'10'13'16'19'22

From 84% of the national average in 2001 to 35% in 2024 — a secular decline, not a cyclical one. Young-firm employment share also fell from 4.0% to 2.8%. The metro still forms firms at close to the national rate; what those firms pay has diverged.

Kansas City's young firms create jobs at roughly the national rate. They pay 53% of the national average, down from 84% in 2001. The regional deficit is not the quantity of entrepreneurship or the credit behind it — it is the quality of what gets created.

Kauffman Entrepreneurial Jobs Indicators · firms aged 0–1 · Kansas City, MO-KS metro
PLATE 12

The formation
funnel.

Kauffman New Employer Business Indicators, 2005–2025, joined to the lending register at state level. Four stages sit between an idea and a financed employer business, and each has a measurable rate. Locating where Kansas and Missouri lose people settles what kind of problem this is.

46th / 25th
Business applications per capita · KS / MO rank of 51
17th / 25th
Application-to-employer conversion · rank
15th / 19th
SBA loans per new employer business · rank
8.4%
National actualization, down from 15.8%

Where the funnel leaks · FY2020–FY2024

Applications per 100 people is implied as new employer businesses ÷ actualization rate, so it carries the timing approximation in that ratio. Every other figure is measured directly.

Funnel stageKansasMissouriNationalRank KS / MO
Stage 1 · Applications per 100 people1.021.331.5346th / 25th
Stage 2 · Application → employer business10.27%8.64%8.39%17th / 25th
Stage 2b · Quarters to first payroll2.012.012.35—
Stage 3 · New employer businesses per 100 people0.10520.11480.128236th / 29th
Stage 3b · Share of employers under 1 year5.69%6.63%7.46%—
Stage 4 · SBA loans per 1,000 new employer businesses125.5118.5117.115th / 19th

The constraint is upstream of everything this analysis has measured

Kansas converts business applications into employer businesses at 10.27%, against a national 8.39% — better than 34 other states. It then finances those businesses at 125.5 SBA loans per 1,000 new employer businesses, against a national mean of 117.1, ranking 15th of 51.

Both of the stages this project can influence are performing above average. What Kansas does not have is applications: an implied 1.02 per 100 people against a national 1.53 — roughly a third fewer, ranking 46th of 51. Missouri sits closer to the middle but shows the same shape.

The leak is at stage one, before capital is in the picture. A credit facility deployed at stage four cannot fix a deficit created at stage one. That does not make EMBI unnecessary — it makes the claim it should be underwritten on a narrower and more honest one.

Application-to-employer conversion has halved nationally

How to read this

Three lines show what share of new business applications actually turn into businesses with paid employees, for Kansas, Missouri and the nation.

A higher line is better: it means more applications succeed in becoming real, hiring businesses.

Share of business applications becoming employer businesses within eight quarters.

'05'08'11'14'17'20'23
KansasMissouriUnited States

Nationally the rate fell from 15.8% across FY2005–09 to 8.4% across FY2020–24, while time from application to first payroll slowed from 1.55 to 2.35 quarters. Both states sit above the national line throughout.

New employer businesses per 100 people

How to read this

Three lines track how many new businesses with employees are formed per 100 people, for Kansas, Missouri and the nation.

A line below the others means that state is producing fewer new hiring businesses relative to its population.

Both states have run below the national rate throughout, and the gap widened after 2020.

'05'08'11'14'17'20'23
KansasMissouriUnited States

Kansas forms 18% fewer new employer businesses per person than the nation and Missouri 10% fewer — despite converting applications at a better rate. The shortfall is in what enters the funnel.

Three denominators, three answers

The same lending volume, ranked against population, young-firm job creation and new employer businesses. Only the population measure puts Kansas and Missouri below average.

DenominatorKansasMissouriNationalKS rankMO rank
Population — loans per 100,000 residents6668—29th26th
Young-firm jobs — loans per 1,00029.530.22920th18th
New employer businesses — loans per 1,000125.5118.5117.115th19th

Across the 51 geographies the correlation between SBA lending per capita and new employer business formation fell from 0.55 in FY2005–09 to 0.209 in FY2020–24. The delivery system has decoupled from where businesses are actually forming.

Corroborated by an independent series

The early-stage indicators in Plate 13 reach the same conclusion by a different route. Kansas ranks 46th of 51 on the rate of new entrepreneurs — a Current Population Survey measure with no methodological overlap with the Census business-application data used here — and 17th on loans per 1,000 new entrepreneurs. Two agencies, two methodologies, one answer: formation is the deficit, conversion to credit is not.

What remains open is the FY2010–FY2019 7(a) file. Every vintage loss curve in this analysis still terminates on the FY2007 cohort, and nothing bridges FY2009 to FY2020.

PLATE 13

Who starts, and
who qualifies.

Kauffman Early-Stage Entrepreneurship Indicators, 1996–2025. Demographic breakdowns exist only at national level, so what follows is a national frame against a regional lending record. It is nonetheless the only view of who starts businesses that this project has — the SBA register carries no race, sex, nativity or veteran field at all.

Rate of new entrepreneurs by group · national, 2021–2025

Share of the adult non-business-owner population starting a business each month. Opportunity share is the proportion who were not unemployed when they started — the closest measured proxy for choice versus necessity.

GroupRate of new entrepreneursvs nationalOpportunity share
National total (ages 25–64)0.373%1.00×82.4%
EDUCATION
Less than High School
0.683%1.83×79.4%
High School Graduate
0.396%1.06×81.6%
Some College
0.351%0.94×82.9%
College Graduate
0.313%0.84×84.1%
NATIVITY
Immigrant
0.612%1.64×83.3%
Native-Born
0.296%0.79×82.1%
RACE
Latino
0.553%1.48×81.7%
Black
0.351%0.94×79.0%
Asian
0.321%0.86×87.6%
White
0.301%0.81×83.1%
SEX
Male
0.447%1.20×80.1%
Female
0.268%0.72×86.2%
AGE
Ages 45-54
0.423%1.13×80.8%
Ages 35-44
0.405%1.09×82.1%
Ages 55-64
0.364%0.98×85.3%
Ages 20-34
0.275%0.74×82.0%
VETERAN
Non-Veteran
0.359%0.96×82.6%
Veteran
0.264%0.71×78.3%

The groups most likely to start are the groups least likely to clear the gate

Americans without a high school diploma start businesses at 0.683% a month — more than double the rate of college graduates. Immigrants start at 0.612% against 0.296% for the native-born. Latino adults start at 0.553% against 0.301% for white adults.

Set that against the borrower profile in the modern 7(a) register: 94.1% corporations, 81.9% collateralised, $200,000 median loan. The highest-formation populations in the country are the least likely to arrive incorporated, with assets to pledge, seeking a ticket that size. The two distributions barely overlap.

Necessity entrepreneurship concentrates in the same place. Veterans have the lowest opportunity share of any group measured at 78.3%, followed by Black entrepreneurs at 79.0% and those without a high school diploma at 79.4% — against 87.6% for Asian entrepreneurs and 84.1% for college graduates.

46th / 26th
Rate of new entrepreneurs · KS / MO rank of 51
44th / 50th
Startup early survival · rank
11.4 / 8.8
Loans per 1,000 new entrepreneurs · national mean 9.8
-3.69 / -1.41
KESE composite index · 0 is the long-run national mean

Kansas and Missouri against the nation

State-level indicators, 2021–2025 averages, with rank of 51 geographies.

IndicatorKansasMissouriNationalRank KS / MO
Rate of new entrepreneurs0.220%0.312%0.373%46th / 26th
Opportunity share80.0%81.2%82.4%38th / 33rd
Startup early job creation4.235.335.29—
Startup early survival rate75.5%74.3%78.5%44th / 50th
KESE composite index-3.69-1.410.00—
Loans per 1,000 new entrepreneurs11.48.89.817th / 27th

Demographic breakdowns are published at national level only; state rows carry totals. Loans per 1,000 new entrepreneurs uses the method paper’s guidance that annual formation runs six to eight times the monthly rate, so it is comparative rather than absolute.

The Kansas trajectory

Five-year averages. The composite index is a z-score centred on the 1996–2015 national mean; below zero is below that reference.

PeriodKS rateKS survivalKS indexMO indexUS rate
2005–20090.244%79.7%-0.3-2.540.324%
2010–20140.259%77.9%-0.63-0.160.329%
2015–20190.283%77.0%-1.10.380.339%
2021–20250.220%75.5%-3.69-1.410.373%

Kansas’s composite index fell from -0.3 in 2005–2009 to -3.69 in 2021–2025 while the national rate of new entrepreneurs rose from 0.324% to 0.373%. Startup survival fell from 79.7% to 75.5%. The state did not stand still — it moved backwards while the country moved forward.

Four denominators, one answer

The same regional lending volume, ranked against population and against three independent measures of entrepreneurial activity from two different agencies and two different methodologies.

DenominatorSourceKS rankMO rankVerdict
PopulationCensus29th26thBelow average
Young-firm job creationKauffman EJI20th18thAbove average
New employer businessesKauffman NEB15th19thAbove average
New entrepreneursKauffman KESE17th27thAt or above average

Across 51 geographies, the correlation between SBA lending per capita and the rate of new entrepreneurs is -0.085 — effectively zero. Against startup survival it is -0.144. Only the population denominator makes this region look credit-starved, and population is the one denominator with no entrepreneurial content in it.

Missouri ranks 50th of 51 on startup early survival and Kansas 44th. Both states finance the businesses that form at an above-average rate. Neither is good at getting businesses started, and both are now among the worst in the country at keeping them alive.

Startup early survival rate · share of new employer establishments active after one year · 2021–2025
PLATE 14

Revenue, and where
it is going wrong.

Fiserv Small Business Index, January 2019 to July 2026, joined to the regional lending concentration. Every other source in this report measures formation, employment, survival or credit. None of them measures revenue — which is what actually services debt. This is the first series that does, and it lands on the two sectors this region is most exposed to.

Series reliability by sector

Fiserv returns byte-identical Kansas and Missouri values in some months, indicating pooled or suppressed state-sector cells. Across the full 91 months no series exceeds 80% duplication. Transportation & Warehousing is highest and Information next; Accommodation & Food duplicates in under 10% of months and Retail Trade in about 1%. Duplication is period-specific rather than structural, so short windows overstate it substantially.

Duplication rates are reported per sector in the table so the reader can weight accordingly. The sectors carrying this region’s lending concentration are clean.

113.4 / 113.1
Real small business sales index · KS / MO (2019 = 100)
109.5
United States
20th / 21st
Rank of 50 states
99.6 / 100.5
Accommodation & food index · the region’s 504 concentration

Real small business sales · Kansas and Missouri against the nation, 2019–2026

How to read this

Three lines track small business revenue over time for Kansas, Missouri and the nation, adjusted for inflation and set to 100 in 2019.

A line above 100 means sales are higher than in 2019; a line above the others means that place is outperforming the country.

Inflation-adjusted, seasonally adjusted, benchmarked to 2019. The COVID trough, the 2021 recovery, and the 2024 crossover where both states move above the national line.

8189971051131212019 baselineApr 202019-0119-0920-0521-0121-0922-0523-0123-0924-0525-0125-0926-0526-07
KansasMissouriUnited States

From 98.8 and 96.8 in January 2019 to 113.4 and 113.1 today, against a national move from 97.4 to 109.5. The April 2020 trough is the deepest point on all three lines; both states recover faster and cross above the national line in 2024. Aggregate small business revenue in this region has been outperforming for two years, which is what makes the two sector exceptions below notable.

The low-beta signature appears again, in a third dataset

At the April 2020 trough the national small business real sales index fell to 81.6. Kansas bottomed at 89.3 and Missouri at 89.8 — ranking 9th and 7th shallowest of 50 states. The region absorbed roughly half the national drawdown.

That is the same signature the lending data showed from an entirely different direction. Kansas and Missouri lost more than the nation in every 7(a) vintage from FY1992 through FY2004 and substantially less in the FY2006–FY2008 crisis cohorts. Two independent datasets, two different crises, thirty years apart, one conclusion: this is a low-beta small business economy — softer in expansions, markedly more resilient in contractions.

For a ten-year instrument that is a genuine structural characteristic and it should be underwritten as one. It is also, again, not the same claim as regional outperformance.

Real small business sales index by sector · 91-month mean, 2019 = 100

Mean across January 2019 to July 2026. Rank is of 50 states. Duplication is the share of months in which Kansas and Missouri return identical values.

SectorKansasKS rankMissouriMO rankUSDuplication
Arts, Entertainment, and Recreation
129.36115.9211160%
Professional, Scientific, and Technical Services
121.726116.539120.60%
Health Care and Social Assistance
107.6401177112.80%
Real Estate and Rental and Leasing
96.341123.741110%
Retail Trade
100.444104.332105.31%
Other Services
103.646109.921109.12%
Accommodation and Food Services
99.628100.52399.810%
Wholesale Trade
108.438108.240112.120%
Educational Services
102.242122.822115.725%
Construction
121.119118.924119.326%
Administrative and Support and Waste Management and Remediation Services
115.711119.67109.237%
Information
184.922204.25170.741%
Transportation and Warehousing
124.55124.36116.158%

Accommodation & food services · real sales, year over year

How to read this

This tracks how hotel, restaurant and bar revenue changed from a year earlier, for Kansas, Missouri and the nation.

Bars or lines above zero mean revenue grew from a year earlier; below zero means it shrank.

The sector carrying the region’s heaviest 504 concentration and the file’s weakest revenue line.

-31%-13%6%25%43%62%20-0120-0721-0121-0722-0122-0723-0123-0724-0124-0725-0125-0726-0126-07
KansasMissouriUnited States

Retail trade · real sales, year over year

How to read this

This tracks how retail revenue changed from a year earlier, for Kansas, Missouri and the nation.

Values above zero mean retail sales grew compared with a year earlier; below zero means they fell.

12.3% of modern 7(a) approvals, below its 2019 real level in Kansas throughout.

-16%-6%4%14%24%34%20-0120-0721-0121-0722-0122-0723-0123-0724-0124-0725-0125-0726-0126-07
KansasMissouriUnited States

Accommodation and food services is 18.4% of the region’s 504 debentures against 12.7% nationally, and charges off at 24.4% against 19.4%. Its real sales index averages 99.6 in Kansas and 100.5 in Missouri against a national 99.8 — essentially flat against 2019 in inflation-adjusted terms after four and a half years, and the weakest sector in the file.

Retail trade is 12.3% of modern 7(a) approvals. Kansas averages 100.4, ranking 44th of 50 and sitting below its 2019 real level throughout. Missouri averages 104.3 against a national 105.3.

With the full series in hand, the obvious question is whether small business revenue leads SBA charge-offs closely enough to serve as an early-warning instrument. Tested against 6,866 monthly national charge-off events over 65 months, it does not. Correlations run -0.284 contemporaneously and drift positive at long lags — the wrong sign for a causal reading.

PLATE 16

What a Kansas City
operator should take from this.

Nine conclusions the regional data supports directly.

01

Lower beta, higher base rate

The region loses more in calm years and materially less in downturns — a defensible but distinct characteristic from simple outperformance.

02

Who originates matters more than where

In-region lenders charged off at 14.9% against 21.9% for out-of-region originators on the same borrowers and economy.

03

Fixed-asset capital has a coverage gap

Twenty-five counties have never received a 504 debenture in thirty-four years.

02 / 05

Keep reading

This is document 2 of 5 in the reading path. Back to the Research index.