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State markets/Missouri/St. Louis city

COUNTY MORTGAGE MARKET · FIPS 29510

St. Louis city, Missouri

Who lends in St. Louis city, how much, and to whom — built from HMDA public mortgage disclosure data, U.S. Census ACS housing estimates and FEMA's National Risk Index.

Origination volume · 2025

$1.32B

Origination volumeSum of loan amount over HMDA records with action taken = 1.

Originations · 2025

5,424

OriginationsCount of HMDA records with action taken = 1 (loan originated) in the activity year.

Denial rate · 2025

15.8%

Denial rateApplications denied (action taken = 3) divided by applications acted upon (actions 1-5).

Lenders active · 2025

369

Lenders activeDistinct LEIs with at least one application acted upon (HMDA action taken 1-5, 7 or 8) in the county and year.

Market structure

How spread out lending is across the 369 lenders that originated in St. Louis city in 2025. HHI is the Herfindahl-Hirschman index over lender shares.

Concentration (HHI)

186

unconcentrated

Top-5 lender share

21.5%

of originations

Purchase

68.9%

3,248 loans

Refinance

31.1%

1,466 loans

Origination trend

Annual mortgage origination volume and loan count in St. Louis city, 2023–2025. Pick a window, export the graph or its data, or click a year to open every record behind it.

Lenders in St. Louis city

Sort, filter, add columns, export, or open a row for the lender's card. Each row links to the lender's company page and to its St. Louis city loan records. The panel states which source answered and exactly which lenders that source covers.

ORIGINATION FLOOR
Hide the long tail of lenders with only a handful of loans here.
FULL RECORD LIST FOR ST. LOUIS CITY →

TOP TEN LENDERS IN ST. LOUIS CITY · 10

The ten largest lenders by origination volume — the precomputed county leaderboard, not the whole market.

1–10 OF 10 LENDERS

Loading every lender that acted on an application in this county. The rows below are the precomputed county leaderboard — the ten largest by volume, not the whole market.

420$93.1M$93.1M originated in St. Louis city, 2025—Share needs a county-wide denominator, which the narrower fallback source does not carry.—
202$55.0M$55.0M originated in St. Louis city, 2025—Share needs a county-wide denominator, which the narrower fallback source does not carry.—
211$47.0M$47.0M originated in St. Louis city, 2025—Share needs a county-wide denominator, which the narrower fallback source does not carry.—
213$45.2M$45.2M originated in St. Louis city, 2025—Share needs a county-wide denominator, which the narrower fallback source does not carry.—
169$42.8M$42.8M originated in St. Louis city, 2025—Share needs a county-wide denominator, which the narrower fallback source does not carry.—
164$37.6M$37.6M originated in St. Louis city, 2025—Share needs a county-wide denominator, which the narrower fallback source does not carry.—
168$37.5M$37.5M originated in St. Louis city, 2025—Share needs a county-wide denominator, which the narrower fallback source does not carry.—
170$34.6M$34.6M originated in St. Louis city, 2025—Share needs a county-wide denominator, which the narrower fallback source does not carry.—
3$32.7M$32.7M originated in St. Louis city, 2025—Share needs a county-wide denominator, which the narrower fallback source does not carry.—
143$27.0M$27.0M originated in St. Louis city, 2025—Share needs a county-wide denominator, which the narrower fallback source does not carry.—

Source: the precomputed county lender leaderboard (lender_county_year) — its ten largest lenders by origination volume, not the county. As of HMDA activity year 2025. Denial rate = denials / decisioned applications (originated + approved-but-not-accepted + denied).

ZIP areas in St. Louis city

All 30 ZIP Code Tabulation Areas that touch St. Louis city, built by grouping the county's census tracts through the Census 2020 crosswalk. A ZCTA approximates a USPS ZIP code; HMDA itself reports no postal geography, so each row opens the tracts behind it, where the records are exact.

TRACT FLOOR
Hide the ZIP areas that only clip a corner of this county.
30 OF 30 ZIP AREASEVERY ZIP AREA TOUCHING THE COUNTY — NO ROWS WITHHELD
TOP LENDERRECORDS
1313 of the 17 St. Louis city tracts this ZIP area touches sit mostly inside it.41,38543.5%10,329——TRACTS →HMDA reports no ZIP. This opens the ZIP area's tract list, where each tract's records open exactly.
77 of the 10 St. Louis city tracts this ZIP area touches sit mostly inside it.29,51218.0%9,539——TRACTS →HMDA reports no ZIP. This opens the ZIP area's tract list, where each tract's records open exactly.
77 of the 7 St. Louis city tracts this ZIP area touches sit mostly inside it.24,69350.7%5,105——TRACTS →HMDA reports no ZIP. This opens the ZIP area's tract list, where each tract's records open exactly.
77 of the 14 St. Louis city tracts this ZIP area touches sit mostly inside it.23,84167.0%4,185——TRACTS →HMDA reports no ZIP. This opens the ZIP area's tract list, where each tract's records open exactly.
77 of the 14 St. Louis city tracts this ZIP area touches sit mostly inside it.22,48536.9%4,210——TRACTS →HMDA reports no ZIP. This opens the ZIP area's tract list, where each tract's records open exactly.
66 of the 10 St. Louis city tracts this ZIP area touches sit mostly inside it.20,03949.4%2,519——TRACTS →HMDA reports no ZIP. This opens the ZIP area's tract list, where each tract's records open exactly.
55 of the 9 St. Louis city tracts this ZIP area touches sit mostly inside it.18,93361.2%3,209——TRACTS →HMDA reports no ZIP. This opens the ZIP area's tract list, where each tract's records open exactly.
88 of the 13 St. Louis city tracts this ZIP area touches sit mostly inside it.18,17898.4%3,722——TRACTS →HMDA reports no ZIP. This opens the ZIP area's tract list, where each tract's records open exactly.
66 of the 14 St. Louis city tracts this ZIP area touches sit mostly inside it.17,66122.1%5,301——TRACTS →HMDA reports no ZIP. This opens the ZIP area's tract list, where each tract's records open exactly.
66 of the 13 St. Louis city tracts this ZIP area touches sit mostly inside it.15,52175.6%2,810——TRACTS →HMDA reports no ZIP. This opens the ZIP area's tract list, where each tract's records open exactly.
88 of the 11 St. Louis city tracts this ZIP area touches sit mostly inside it.14,18195.9%3,060——TRACTS →HMDA reports no ZIP. This opens the ZIP area's tract list, where each tract's records open exactly.
66 of the 9 St. Louis city tracts this ZIP area touches sit mostly inside it.10,52594.3%2,221——TRACTS →HMDA reports no ZIP. This opens the ZIP area's tract list, where each tract's records open exactly.
44 of the 10 St. Louis city tracts this ZIP area touches sit mostly inside it.8,78391.3%493——TRACTS →HMDA reports no ZIP. This opens the ZIP area's tract list, where each tract's records open exactly.
22 of the 4 St. Louis city tracts this ZIP area touches sit mostly inside it.8,61168.3%1,245——TRACTS →HMDA reports no ZIP. This opens the ZIP area's tract list, where each tract's records open exactly.
22 of the 7 St. Louis city tracts this ZIP area touches sit mostly inside it.7,77163.2%591——TRACTS →HMDA reports no ZIP. This opens the ZIP area's tract list, where each tract's records open exactly.
44 of the 8 St. Louis city tracts this ZIP area touches sit mostly inside it.5,49798.7%931——TRACTS →HMDA reports no ZIP. This opens the ZIP area's tract list, where each tract's records open exactly.
33 of the 11 St. Louis city tracts this ZIP area touches sit mostly inside it.4,05497.1%824——TRACTS →HMDA reports no ZIP. This opens the ZIP area's tract list, where each tract's records open exactly.
11 of the 1 St. Louis city tract this ZIP area touches sit mostly inside it.3,96898.9%1,053——OPEN →This ZIP area is one census tract here, so its records open directly and exactly.
11 of the 1 St. Louis city tract this ZIP area touches sit mostly inside it.3,37122.2%1,047——OPEN →This ZIP area is one census tract here, so its records open directly and exactly.
11 of the 5 St. Louis city tracts this ZIP area touches sit mostly inside it.2,56927.6%944——OPEN →This ZIP area is one census tract here, so its records open directly and exactly.
0This ZIP area clips 3 tracts of St. Louis city but is the dominant ZIP for none of them, so it owns no figures here.—————TRACTS →HMDA reports no ZIP. This opens the ZIP area's tract list, where each tract's records open exactly.
0This ZIP area clips 1 tract of St. Louis city but is the dominant ZIP for none of them, so it owns no figures here.—————TRACTS →HMDA reports no ZIP. This opens the ZIP area's tract list, where each tract's records open exactly.
0This ZIP area clips 2 tracts of St. Louis city but is the dominant ZIP for none of them, so it owns no figures here.—————TRACTS →HMDA reports no ZIP. This opens the ZIP area's tract list, where each tract's records open exactly.
0This ZIP area clips 1 tract of St. Louis city but is the dominant ZIP for none of them, so it owns no figures here.—————TRACTS →HMDA reports no ZIP. This opens the ZIP area's tract list, where each tract's records open exactly.
0This ZIP area clips 3 tracts of St. Louis city but is the dominant ZIP for none of them, so it owns no figures here.—————TRACTS →HMDA reports no ZIP. This opens the ZIP area's tract list, where each tract's records open exactly.
0This ZIP area clips 1 tract of St. Louis city but is the dominant ZIP for none of them, so it owns no figures here.—————TRACTS →HMDA reports no ZIP. This opens the ZIP area's tract list, where each tract's records open exactly.
0This ZIP area clips 2 tracts of St. Louis city but is the dominant ZIP for none of them, so it owns no figures here.—————TRACTS →HMDA reports no ZIP. This opens the ZIP area's tract list, where each tract's records open exactly.
0This ZIP area clips 2 tracts of St. Louis city but is the dominant ZIP for none of them, so it owns no figures here.—————TRACTS →HMDA reports no ZIP. This opens the ZIP area's tract list, where each tract's records open exactly.
0This ZIP area clips 1 tract of St. Louis city but is the dominant ZIP for none of them, so it owns no figures here.—————TRACTS →HMDA reports no ZIP. This opens the ZIP area's tract list, where each tract's records open exactly.
0This ZIP area clips 1 tract of St. Louis city but is the dominant ZIP for none of them, so it owns no figures here.—————TRACTS →HMDA reports no ZIP. This opens the ZIP area's tract list, where each tract's records open exactly.

104 of St. Louis city’s 104 census tracts are grouped into the ZIP areas above, with none left over. The two add up to the county exactly, because each tract is counted once. A ZCTA — ZIP Code Tabulation Area — is the U.S. Census Bureau's area approximation of a USPS ZIP code, not the ZIP code itself. HMDA reports no postal geography at all, so these rows are census tracts grouped by the Census 2020 tract-to-ZCTA relationship file: each tract is counted once, in the single ZCTA covering the most of its land. Housing figures are HMDA tract attributes for activity year 2025, summed over the tracts each ZIP area owns — a ZIP area that owns no tract shows an em-dash, never a zero.

Census tracts in St. Louis city

All 104 tracts, with the FFIEC income character and HMDA housing attributes of each. Open a tract for its own lender ranking, or open its records directly.

104 OF 104 TRACTSEVERY TRACT IN THE COUNTY — NO ROWS WITHHELD
TOP LENDERRECORDS
Moderate71.1%2,56927.6%OPEN →
Middle107.1%3,19727.7%OPEN →
Middle118.8%4,15027.6%OPEN →
Moderate76.8%2,70449.8%OPEN →
Low29.3%2,84950.2%OPEN →
Moderate54.8%2,82955.1%OPEN →
Middle84.9%2,73720.8%OPEN →
Upper120.1%5,96712.4%OPEN →
Moderate68.3%1,81426.8%OPEN →
Middle88.4%2,24031.5%OPEN →
Moderate77.9%1,84223.6%OPEN →
Middle102.5%3,33122.7%OPEN →
Upper124.5%1,77815.0%OPEN →
Middle87.0%1,25019.1%OPEN →
Middle110.2%2,50716.8%OPEN →
Middle108.8%3,82315.4%OPEN →
Middle115.5%3,40617.9%OPEN →
Moderate74.5%2,52029.7%OPEN →
Upper186.6%3,96044.9%OPEN →
Middle119.9%2,64759.7%OPEN →
—0.0%2,21188.3%OPEN →
Moderate69.1%2,41395.2%OPEN →
Middle98.6%2,54694.9%OPEN →
Low39.3%1,74498.0%OPEN →
—0.0%1,26099.5%OPEN →
Moderate51.3%1,48098.2%OPEN →
Low49.6%1,65098.4%OPEN →
Moderate51.8%2,68793.4%OPEN →
Low33.4%1,25097.1%OPEN →
Moderate71.8%2,50298.2%OPEN →
Moderate54.3%97497.7%OPEN →
Low44.7%3,96898.9%OPEN →
Low47.6%1,78399.1%OPEN →
Moderate50.0%2,04097.3%OPEN →
Moderate59.3%1,90598.7%OPEN →
Low42.5%2,53597.2%OPEN →
Low45.5%2,26096.9%OPEN →
Moderate53.8%1,83097.1%OPEN →
Low49.4%2,49698.7%OPEN →
Low29.1%1,64494.7%OPEN →
Low41.2%2,26498.9%OPEN →
Low46.6%1,92298.9%OPEN →
Low35.9%1,90498.8%OPEN →
Moderate52.0%1,96097.9%OPEN →
Low48.5%1,00296.9%OPEN →
Moderate60.2%1,87496.9%OPEN →
Low37.7%1,01486.9%OPEN →
Low45.8%1,19998.3%OPEN →
Upper147.3%4,45541.6%OPEN →
Moderate59.8%1,43488.5%OPEN →
Low31.7%1,78796.2%OPEN →
Upper178.7%4,49237.3%OPEN →
Middle104.8%2,3529.1%OPEN →
Middle85.0%4,20131.4%OPEN →
Upper148.6%4,21111.7%OPEN →
Middle95.1%4,55722.9%OPEN →
Middle112.5%5,24216.3%OPEN →
Moderate55.3%3,94044.1%OPEN →
Low43.0%2,96059.7%OPEN →
Moderate60.5%5,04764.2%OPEN →
Moderate53.5%3,05446.9%OPEN →
Low38.2%5,46072.0%OPEN →
Low37.8%5,09165.1%OPEN →
Moderate57.9%3,46077.6%OPEN →
Low49.3%3,05753.0%OPEN →
Upper127.3%4,17529.4%OPEN →
Middle113.2%2,90231.1%OPEN →
Low32.4%3,00780.8%OPEN →
Moderate50.2%4,53679.5%OPEN →
Middle84.3%3,81350.6%OPEN →
Middle112.2%1,54628.6%OPEN →
Upper125.7%5,46037.1%OPEN →
Upper121.8%4,18835.9%OPEN →
Middle83.9%1,59159.1%OPEN →
Middle117.7%4,56145.3%OPEN →
—0.0%2,64951.9%OPEN →
Middle98.4%3,41839.9%OPEN →
Upper133.4%1,94659.7%OPEN →
Middle99.2%6,10050.0%OPEN →
Low48.1%1,09295.9%OPEN →
Moderate50.0%1,78797.7%OPEN →
Middle93.4%3,23563.5%OPEN →
Middle88.2%2,46440.8%OPEN →
Moderate76.5%2,92837.4%OPEN →
Moderate53.7%4,19179.7%OPEN →
Low48.7%3,07068.1%OPEN →
Upper153.5%3,05935.3%OPEN →
Low30.2%1,71272.3%OPEN →
Middle115.6%3,81051.8%OPEN →
Middle92.3%5,83260.1%OPEN →
Low25.0%2,85296.7%OPEN →
Low44.6%2,77985.4%OPEN →
Low47.8%1,07485.5%OPEN →
Middle94.0%3,37122.2%OPEN →
Moderate62.1%3,95898.8%OPEN →
Low19.8%1,22183.9%OPEN →
Low46.6%1,68395.2%OPEN →
Middle106.4%4,16331.9%OPEN →
Middle116.3%3,72964.2%OPEN →
Low35.3%4,70571.8%OPEN →
Low36.0%2,46177.8%OPEN →
Middle113.9%3,44431.8%OPEN →
Low28.4%1,86897.8%OPEN →
Low37.9%3,96174.2%OPEN →

Source: FFIEC census-tract file (income level, MSA, urban/rural) and HMDA tract attributes (population, minority share, housing units), latest loaded activity year. The whole county is listed — the table is filtered and paged in the browser over the complete set, never a server-side slice of it.

Housing & households

U.S. Census American Community Survey 2024 estimates — the demand side behind the lending figures above.

Population

288,512

Median household income

$56,160

Median home value

$197,500

Median gross rent

$997

per month

Owner-occupied

45.3%

of occupied units

Housing units

174,111

16.8% vacant

Poverty rate

20.6%

Unemployment

5.0%

Natural-hazard exposure

FEMA National Risk Index ratings for this county — expected annual loss, social vulnerability and community resilience, plus the individual perils rated Relatively High or above.

Overall risk

Relatively High

score 98.7

Social vulnerability

Relatively High

Community resilience

Relatively High

ELEVATED PERILS

Inland flooding Relatively High · Tornado Very High · Earthquake Relatively High · Strong wind Relatively High · Heat wave Very High

Federal disaster history

Months in which a FEMA disaster declaration was active in this county, from the declarations series.

Months with an active declaration

84

Declarations recorded

25

Incident types on record: Biological, Flood, Hurricane, Severe Ice Storm, Severe Storm, Tornado.

Everything we hold on St. Louis city

12 data areas have rows for this county. Each one is one click away below; the 18 we checked and did not find at county grain are named at the end with the reason.

LOAN-LEVEL

The individual HMDA application and origination records behind every figure on this page, pre-filtered to St. Louis city.

HMDA loan-level (hmda_loan_wide, county_code)

Open the loan explorer for St. Louis city →Every reported application and origination in FIPS 29510, filterable on rate, amount, income, purpose and action taken. Loan-level tier.

VA

VA-guaranteed lending in St. Louis city by fiscal year — the veteran channel, which HMDA counts but does not separate from the rest of the government book at this grain.

VA Loan Guaranty geographic loan volume (va_geo_loan_volume, county_fips), folded to fiscal year

VA loans · FY2026

191

—

Purchase share

42.9%

82 loans

IRRRL refinances

82

Cash-out refinances

27

2026191—828227
2025202—1334425
2024154—1112221
2023163—131131
2022——1653354
2021453—17122854
2020374—14817749
2019177—1122243
2018197—1291355
2017247—1415452
2016217—1224946
2015202—1115239

The most recent fiscal year is partial until VA closes it. This file carries no lender key, so VA volume cannot be attributed to a company.

BUILDING PERMITS

New residential units authorised in St. Louis city — the supply-side leading indicator that runs ahead of purchase originations.

Census Building Permits Survey county series (census_building_permits, geo_id at geo_level 'county')

HOUSING SUPPLY · CENSUS BUILDING PERMITS

St. Louis (Independent City) building permits

New privately-owned housing units authorized by building permits — the supply-side leading indicator that runs ahead of housing starts and the purchase-origination pipeline. Single-family (SF, 1-unit) vs. multifamily (MF, 2+ units), by year.

Single-family · 2025

57

+1.8% vs 2024

Multifamily · 2025

215

−9.7% vs 2024

Total authorized · 2025

272

−7.5% vs 2024

Permit valuation · 2025

$51.5M

authorized construction value

Units authorized by year

St. Louis (Independent City) · total permitted units · hover for the single-family split

UNITS · SF IN TOOLTIP
05001K1.5K2K1990199219941996199820002002200420062008201020122014201620182020202220242025272 units

Source: U.S. Census Bureau Building Permits Survey (BPS), imputed totals (the published “units authorized” headline). SF = 1-unit; MF = 2+ units. Public no-login Census data. Attribution.

MIGRATION & WEALTH

IRS county-to-county migration flows for St. Louis city, showing population movement and wealth transfer.

IRS county-to-county migration flows (irs_county_migration, self_geoid)

outflow2223St. Louis County, MO6,58511,755$413.4M
inflow2223St. Louis County, MO5,1578,205$239.5M
inflow2223Other flows - South, DS1,0971,477$72.5M
outflow2223Other flows - South, DS9181,387$69.4M
inflow2223Other flows - Midwest, DS790958$38.6M
outflow2223Other flows - Midwest, DS665979$45.9M
outflow2223St. Charles County, MO602910$39.9M
inflow2223St. Charles County, MO559703$30.4M
outflow2223Jefferson County, MO508851$28.8M
outflow2223Other flows - West, DS419602$43.0M
outflow2223St. Clair County, IL411692$24.2M
inflow2223Other flows - West, DS406548$25.9M
inflow2223St. Clair County, IL387579$17.3M
inflow2223Jefferson County, MO351500$17.2M
inflow2223Other flows - Northeast, DS349425$21.6M
outflow2223Cook County, IL313374$27.0M
outflow2223Other flows - Northeast, DS300440$23.5M
inflow2223Madison County, IL295389$14.1M
outflow2223Madison County, IL273405$15.2M
inflow2223Cook County, IL269328$20.3M
inflow2223Boone County, MO128155$6.6M
outflow2223Harris County, TX119192$7.2M
outflow2223Los Angeles County, CA113137$8.3M
outflow2223Jackson County, MO103143$6.2M
outflow2223King County, WA102132$9.1M
outflow2223Maricopa County, AZ92127$6.2M
inflow2223Los Angeles County, CA90122$7.8M
inflow2223Jackson County, MO89122$5.0M
outflow2223Denver County, CO8795$7.5M
inflow2223Franklin County, MO84110$4.1M
outflow2223Dallas County, TX81118$5.3M
inflow2223Harris County, TX78132$3.3M
outflow2223Boone County, MO7598$3.9M
outflow2223Franklin County, MO73101$3.8M
inflow2223Cape Girardeau County, MO7391$3.8M
outflow2223Foreign - Overseas, FR71102$7.6M
inflow2223Maricopa County, AZ6892$3.3M
inflow2223Greene County, MO6480$3.6M
outflow2223New York County, NY6168$6.5M
inflow2223Dallas County, TX5781$3.6M
inflow2223Davidson County, TN5578$3.6M
inflow2223Sangamon County, IL5459$3.8M
outflow2223Middlesex County, MA5270$4.1M
inflow2223Shelby County, TN5073$2.8M
inflow2223King County, WA4971$5.8M
outflow2223Greene County, MO4862$2.0M
outflow2223Fulton County, GA4654$2.8M
outflow2223Tarrant County, TX4586$1.9M
inflow2223St. Francois County, MO4559$2.2M
outflow2223Travis County, TX4554$3.8M
outflow2223District of Columbia, DC4448$4.1M
outflow2223San Diego County, CA4363$4.2M
inflow2223Foreign - Overseas, FR4256$2.3M
outflow2223Hennepin County, MN4260$3.4M
inflow2223San Diego County, CA4156$2.5M
outflow2223Milwaukee County, WI4062$3.6M
inflow2223Travis County, TX4059$2.6M
outflow2223Davidson County, TN3950$4.3M
inflow2223Monroe County, IL3953$2.8M
outflow2223Clark County, NV3855$1.9M
inflow2223Tarrant County, TX3852$1.7M
outflow2223Monroe County, IL3856$2.8M
outflow2223Franklin County, OH3745$2.5M
outflow2223San Francisco County, CA3746$3.9M
inflow2223Denver County, CO3744$2.6M
outflow2223Suffolk County, MA3747$3.1M
outflow2223Sangamon County, IL3756$3.3M
inflow2223Cole County, MO3757$1.6M
inflow2223Marion County, IN3752$1.8M
inflow2223Philadelphia County, PA3642$2.7M
outflow2223Kings County, NY3641$2.0M
outflow2223Santa Clara County, CA3648$3.7M
outflow2223Hillsborough County, FL3545$2.2M
inflow2223New York County, NY3537$2.6M
inflow2223Hennepin County, MN3544$2.0M
inflow2223Johnson County, KS3440$2.2M
inflow2223Middlesex County, MA3439$1.6M
outflow2223Bexar County, TX3457$2.3M
inflow2223Bexar County, TX3449$1.4M
outflow2223San Mateo County, CA3343$3.6M
outflow2223Shelby County, TN3342$1.4M
outflow2223Philadelphia County, PA3341$3.0M
outflow2223Mecklenburg County, NC3344$3.5M
inflow2223DuPage County, IL3338$1.6M
inflow2223Lincoln County, MO3245$1.2M
outflow2223St. Francois County, MO3251$1.2M
inflow2223Miami-Dade County, FL3245$1.9M
outflow2223Allegheny County, PA3142$2.2M
inflow2223District of Columbia, DC3135$2.7M
inflow2223Clark County, NV3156$1.4M
outflow2223Pinellas County, FL3138$3.7M
outflow2223Marion County, IN3137$1.9M
inflow2223Phelps County, MO3034$894K
inflow2223Suffolk County, MA3034$2.6M
inflow2223Jackson County, IL3037$1.1M
outflow2223Johnson County, KS2935$2.6M
inflow2223Jefferson County, KY2938$1.6M
inflow2223Collin County, TX2935$1.3M
outflow2223Lincoln County, MO2843$1.2M
outflow2223Miami-Dade County, FL2834$1.6M
inflow2223Foreign - Other flows, FR2738$1.4M
inflow2223Santa Clara County, CA2733$2.4M
inflow2223Champaign County, IL2731$1.3M
outflow2223Pulaski County, AR2741$1.8M
inflow2223Milwaukee County, WI2633$1.8M
inflow2223Franklin County, OH2631$1.5M
outflow2223Hamilton County, OH2632$1.4M
inflow2223Fairfax County, VA2533$1.7M
inflow2223Fulton County, GA2537$1.0M
outflow2223Orange County, CA2531$1.8M
inflow2223Peoria County, IL2528$1.1M
inflow2223McLean County, IL2429$1.4M
outflow2223Wake County, NC2429$2.1M
inflow2223Hamilton County, OH2427$2.0M
inflow2223Dane County, WI2433$1.3M
outflow2223Cape Girardeau County, MO2335$910K
outflow2223Multnomah County, OR2327$2.1M
inflow2223Orange County, CA2332$1.5M
inflow2223DeKalb County, GA2350$1.2M
inflow2223Bernalillo County, NM2330$1.3M
inflow2223Cuyahoga County, OH2327$1.2M
outflow2223Washtenaw County, MI2332$1.7M
inflow2223Polk County, IA2226$1.6M
inflow2223Adair County, MO2228$802K
inflow2223Oklahoma County, OK2227$1.0M
outflow2223DuPage County, IL2225$1.2M
outflow2223Jefferson County, KY2237$2.0M
outflow2223Foreign - Other flows, FR2231$1.4M
inflow2223Alameda County, CA2224$1.9M
inflow2223Will County, IL2124$869K
outflow2223Cole County, MO2139$740K
outflow2223Orange County, FL2129$1.0M
outflow2223Pima County, AZ2129$1.4M
inflow2223Hillsborough County, FL2128$860K
inflow2223Oakland County, MI2127$1.6M
outflow2223Fairfax County, VA2130$2.0M
outflow2223Warren County, MO2128$1.0M
inflow2223Douglas County, NE2022$1.1M
outflow2223Cuyahoga County, OH2026$1.7M
outflow2223Oakland County, MI2025$1.8M
outflow2223DeKalb County, GA2031$1.5M
inflow2223Kings County, NY2023$1.4M
inflow2223Broward County, FL2031$1.2M
inflow2223Lake County, IL2023$1.7M
outflow2122Foreign - Other flows, FR———
inflow2122Foreign - Other flows, FR———
outflow2122St. Louis County, MO7,06312,448$765.8M
inflow2122St. Louis County, MO5,3538,559$247.8M
inflow2122Other flows - South, DS9731,310$56.5M
outflow2122Other flows - South, DS8711,310$61.2M
inflow2122Other flows - Midwest, DS8241,027$40.7M
outflow2122Other flows - Midwest, DS6641,009$41.5M
outflow2122St. Charles County, MO611959$44.4M
inflow2122St. Charles County, MO564736$28.8M
outflow2122Jefferson County, MO560968$32.8M
inflow2122Other flows - West, DS424572$31.8M
outflow2122St. Clair County, IL422709$21.3M
inflow2122St. Clair County, IL399604$15.4M
inflow2122Jefferson County, MO371533$15.9M
outflow2122Other flows - West, DS351527$28.5M
inflow2122Other flows - Northeast, DS346441$50.8M
outflow2122Madison County, IL329503$14.1M
outflow2122Cook County, IL325405$21.6M
inflow2122Madison County, IL293368$15.3M
outflow2122Other flows - Northeast, DS270405$22.3M
inflow2122Cook County, IL264334$21.0M
outflow2122Dallas County, TX172270$47.8M
outflow2122Harris County, TX136216$8.7M
inflow2122Boone County, MO115136$5.7M
outflow2122Los Angeles County, CA111137$6.2M
outflow2122Franklin County, MO104160$7.1M
outflow2122Maricopa County, AZ101140$6.0M
inflow2122Los Angeles County, CA100126$9.7M
outflow2122King County, WA98115$8.5M
inflow2122Jackson County, MO92120$6.7M
outflow2122Denver County, CO88106$8.4M
outflow2122Boone County, MO85110$5.2M
outflow2122Jackson County, MO83128$4.2M
inflow2122Greene County, MO7395$2.9M
inflow2122St. Francois County, MO7077$1.3M
inflow2122Maricopa County, AZ6895$3.8M
outflow2122New York County, NY6772$4.8M
outflow2122Fulton County, GA6582$4.4M
outflow2122Travis County, TX6586$6.9M
inflow2122Franklin County, MO6483$2.6M
inflow2122Harris County, TX62103$3.4M
inflow2122Sangamon County, IL5468$2.7M
outflow2122Philadelphia County, PA5358$3.3M
outflow2122Monroe County, IL5188$4.6M
inflow2122Cape Girardeau County, MO5165$1.9M
outflow2122Sangamon County, IL5072$4.2M
inflow2122Denver County, CO5062$4.1M
outflow2122San Diego County, CA4871$3.0M
outflow2122Davidson County, TN4561$3.0M
inflow2122Cole County, MO4254$1.3M
inflow2122King County, WA4264$4.2M
outflow2122DeKalb County, GA4164$1.8M
outflow2122District of Columbia, DC4143$3.0M
outflow2122Shelby County, TN4171$2.2M
outflow2122Hennepin County, MN4158$2.4M

UAD APPRAISALS

FHFA Uniform Appraisal Dataset aggregates for St. Louis city.

FHFA UAD aggregate statistics (uad_aggregate_county, geoid) and appraisal-level public use file (uad_puf, county_fips)

2023PurchaseNo CharacteristicAll Appraisals2,181.0
2023PurchaseNo CharacteristicAll Appraisals0.2
2023RefinanceNo CharacteristicAll Appraisals487.0
2023PurchaseNo CharacteristicAll Appraisals1.0
2023BothNo CharacteristicAll Appraisals2,668.0
2023PurchaseNo CharacteristicAll Appraisals0.7
2023PurchaseNo CharacteristicAll Appraisals1.0
2023RefinanceNo CharacteristicAll Appraisals238,000.0
2023BothNo CharacteristicAll Appraisals240,000.0
2023PurchaseNo CharacteristicAll Appraisals240,000.0
2023PurchaseNo CharacteristicAll Appraisals0.1
2022PurchaseNo CharacteristicAll Appraisals1.0
2022BothNo CharacteristicAll Appraisals231,000.0
2022PurchaseNo CharacteristicAll Appraisals0.2
2022PurchaseNo CharacteristicAll Appraisals235,000.0
2022PurchaseNo CharacteristicAll Appraisals1.0
2022RefinanceNo CharacteristicAll Appraisals914.0
2022PurchaseNo CharacteristicAll Appraisals0.1
2022PurchaseNo CharacteristicAll Appraisals0.7
2022RefinanceNo CharacteristicAll Appraisals220,000.0
2022BothNo CharacteristicAll Appraisals3,466.0
2022PurchaseNo CharacteristicAll Appraisals2,552.0
2021PurchaseNo CharacteristicAll Appraisals1.0
2021RefinanceNo CharacteristicAll Appraisals228,000.0
2021BothNo CharacteristicAll Appraisals5,315.0
2021PurchaseNo CharacteristicAll Appraisals1.0
2021PurchaseNo CharacteristicAll Appraisals3,049.0
2021PurchaseNo CharacteristicAll Appraisals0.2
2021RefinanceNo CharacteristicAll Appraisals2,266.0
2021PurchaseNo CharacteristicAll Appraisals0.1
2021BothNo CharacteristicAll Appraisals225,000.0
2021PurchaseNo CharacteristicAll Appraisals0.7
2021PurchaseNo CharacteristicAll Appraisals225,000.0
2020PurchaseNo CharacteristicAll Appraisals0.1
2020PurchaseNo CharacteristicAll Appraisals1.0
2020BothNo CharacteristicAll Appraisals5,201.0
2020PurchaseNo CharacteristicAll Appraisals2,642.0
2020PurchaseNo CharacteristicAll Appraisals0.7
2020BothNo CharacteristicAll Appraisals215,000.0
2020RefinanceNo CharacteristicAll Appraisals230,000.0
2020RefinanceNo CharacteristicAll Appraisals2,559.0
2020PurchaseNo CharacteristicAll Appraisals202,000.0
2020PurchaseNo CharacteristicAll Appraisals1.0
2020PurchaseNo CharacteristicAll Appraisals0.2
2019PurchaseNo CharacteristicAll Appraisals0.0
2019PurchaseNo CharacteristicAll Appraisals1.0
2019BothNo CharacteristicAll Appraisals195,000.0
2019PurchaseNo CharacteristicAll Appraisals2,392.0
2019PurchaseNo CharacteristicAll Appraisals0.2
2019PurchaseNo CharacteristicAll Appraisals1.0
2019RefinanceNo CharacteristicAll Appraisals210,000.0
2019BothNo CharacteristicAll Appraisals3,909.0
2019RefinanceNo CharacteristicAll Appraisals1,517.0
2019PurchaseNo CharacteristicAll Appraisals185,000.0
2019PurchaseNo CharacteristicAll Appraisals0.8
2018RefinanceNo CharacteristicAll Appraisals165,000.0
2018BothNo CharacteristicAll Appraisals3,272.0
2018PurchaseNo CharacteristicAll Appraisals2,287.0
2018RefinanceNo CharacteristicAll Appraisals985.0
2018BothNo CharacteristicAll Appraisals174,000.0
2018PurchaseNo CharacteristicAll Appraisals177,000.0
2018PurchaseNo CharacteristicAll Appraisals0.8
2018PurchaseNo CharacteristicAll Appraisals0.0
2018PurchaseNo CharacteristicAll Appraisals0.2
2018PurchaseNo CharacteristicAll Appraisals1.0
2018PurchaseNo CharacteristicAll Appraisals1.0
2017RefinanceNo CharacteristicAll Appraisals180,000.0
2017PurchaseNo CharacteristicAll Appraisals1.0
2017PurchaseNo CharacteristicAll Appraisals1.0
2017PurchaseNo CharacteristicAll Appraisals0.2
2017PurchaseNo CharacteristicAll Appraisals0.0
2017BothNo CharacteristicAll Appraisals3,473.0
2017PurchaseNo CharacteristicAll Appraisals2,209.0
2017PurchaseNo CharacteristicAll Appraisals176,000.0
2017RefinanceNo CharacteristicAll Appraisals1,264.0
2017PurchaseNo CharacteristicAll Appraisals0.8
2017BothNo CharacteristicAll Appraisals177,000.0
2016PurchaseNo CharacteristicAll Appraisals1,949.0
2016RefinanceNo CharacteristicAll Appraisals192,000.0
2016PurchaseNo CharacteristicAll Appraisals1.0
2016PurchaseNo CharacteristicAll Appraisals169,000.0
2016PurchaseNo CharacteristicAll Appraisals0.8
2016PurchaseNo CharacteristicAll Appraisals0.0
2016BothNo CharacteristicAll Appraisals179,000.0
2016PurchaseNo CharacteristicAll Appraisals1.0
2016PurchaseNo CharacteristicAll Appraisals0.2
2016BothNo CharacteristicAll Appraisals3,851.0
2016RefinanceNo CharacteristicAll Appraisals1,902.0
2015PurchaseNo CharacteristicAll Appraisals1.0
2015PurchaseNo CharacteristicAll Appraisals163,000.0
2015PurchaseNo CharacteristicAll Appraisals0.2
2015RefinanceNo CharacteristicAll Appraisals182,000.0
2015BothNo CharacteristicAll Appraisals3,464.0
2015RefinanceNo CharacteristicAll Appraisals1,524.0
2015PurchaseNo CharacteristicAll Appraisals0.0
2015PurchaseNo CharacteristicAll Appraisals0.8
2015PurchaseNo CharacteristicAll Appraisals1,940.0
2015BothNo CharacteristicAll Appraisals170,000.0
2015PurchaseNo CharacteristicAll Appraisals1.0
2014BothNo CharacteristicAll Appraisals165,000.0

ECONOMY & INCOME

Local economy indicators — BLS unemployment rates and BEA personal income for St. Louis city.

BLS Local Area Unemployment Statistics (bls_laus_county_month, geoid) and BEA personal income (bea_county_income, geo_fips)

BLS Local Area Unemployment

2026-05155,654149,4436,2114.0%
2026-04155,611149,1736,4384.1%
2026-03155,121147,6427,4794.8%
2026-02154,416146,7767,6404.9%
2026-01154,222146,6577,5654.9%
2025-12155,612149,8235,7893.7%
2025-11156,162150,1576,0053.8%
2025-09155,713149,1256,5884.2%
2025-08157,493149,5897,9045.0%
2025-07159,031150,8538,1785.1%
2025-06157,713150,1567,5574.8%
2025-05156,456149,3417,1154.5%
2025-04156,276149,5456,7314.3%
2025-03155,157147,4427,7155.0%
2025-02154,777146,8817,8965.1%
2025-01154,091147,0117,0804.6%
2024-12154,710148,3846,3264.1%
2024-11155,076149,0306,0463.9%
2024-10155,738149,7615,9773.8%
2024-09155,261149,5935,6683.7%
2024-08156,909149,5707,3394.7%
2024-07158,958151,3137,6454.8%
2024-06156,892149,8607,0324.5%
2024-05155,467149,1766,2914.0%
2024-04154,840149,1395,7013.7%
2024-03154,228147,6236,6054.3%
2024-02153,866146,9966,8704.5%
2024-01153,770147,5106,2604.1%
2023-12155,187149,6975,4903.5%
2023-11156,285151,1785,1073.3%
2023-10156,887151,4595,4283.5%
2023-09155,680150,6685,0123.2%
2023-08158,130151,9056,2253.9%
2023-07159,711153,0346,6774.2%
2023-06157,382151,3246,0583.8%
2023-05156,255150,9385,3173.4%
2023-04155,619150,9664,6533.0%
2023-03155,251149,8915,3603.5%
2023-02154,141148,6925,4493.5%
2023-01153,444148,1915,2533.4%
2022-12155,314151,0064,3082.8%
2022-11155,318151,0324,2862.8%
2022-10156,124151,9434,1812.7%
2022-09154,450150,8843,5662.3%
2022-08156,345151,0695,2763.4%
2022-07157,699152,3595,3403.4%
2022-06155,949151,4854,4642.9%
2022-05155,023150,9434,0802.6%
2022-04154,588150,5923,9962.6%
2022-03155,271149,9785,2933.4%
2022-02154,438148,8005,6383.7%
2022-01154,541148,1476,3944.1%
2021-12157,930152,6095,3213.4%
2021-11158,310152,8045,5063.5%
2021-10158,990152,5216,4694.1%
2021-09158,018151,6636,3554.0%
2021-08159,712150,5859,1275.7%
2021-07161,965151,86610,0996.2%
2021-06160,568150,36310,2056.4%
2021-05159,519149,8829,6376.0%
2021-04159,707149,69610,0116.3%
2021-03158,921148,53210,3896.5%
2021-02159,007148,51110,4966.6%
2021-01157,709146,46111,2487.1%
2020-12162,144151,50410,6406.6%
2020-11161,683151,46810,2156.3%
2020-10163,215152,34810,8676.7%
2020-09164,197150,99013,2078.0%
2020-08167,055151,40515,6509.4%
2020-07170,670151,27419,39611.4%
2020-06163,142143,59319,54912.0%
2020-05153,478133,69919,77912.9%
2020-04154,858135,85219,00612.3%
2020-03163,862156,3957,4674.6%
2020-02164,026158,3135,7133.5%
2020-01163,357157,1946,1633.8%
2019-12166,424160,7645,6603.4%
2019-11166,254160,9285,3263.2%
2019-10166,111160,9325,1793.1%
2019-09166,070161,3254,7452.9%
2019-08166,901160,6356,2663.8%
2019-07169,169162,3876,7824.0%
2019-06167,385161,1016,2843.8%
2019-05164,599159,1365,4633.3%
2019-04164,285158,9805,3053.2%
2019-03164,503157,9456,5584.0%
2019-02164,066157,8706,1963.8%
2019-01162,993156,4136,5804.0%
2018-12165,408159,9155,4933.3%
2018-11164,203159,4054,7982.9%
2018-10164,953160,1734,7802.9%
2018-09164,614159,9424,6722.8%
2018-08165,671159,5536,1183.7%
2018-07169,072162,1276,9454.1%
2018-06167,470160,9616,5093.9%
2018-05165,442159,8175,6253.4%
2018-04165,340159,5335,8073.5%
2018-03165,071158,0687,0034.2%
2018-02164,608157,7446,8644.2%
2018-01163,261156,5796,6824.1%

BEA Personal Income

2024$18.63B279,695$67K
2023$18.00B282,772$64K
2022$16.92B286,292$59K
2021$16.16B293,484$55K
2020$15.41B300,315$51K
2019$14.61B303,655$48K
2018$13.82B306,129$45K
2017$13.35B310,594$43K
2016$13.09B314,796$42K
2015$12.97B317,839$41K
2014$12.43B318,870$39K
2013$12.43B319,597$39K
2012$12.05B320,207$38K
2011$11.88B319,791$37K
2010$11.26B319,441$35K
2009$11.06B318,842$35K
2008$11.25B317,955$35K
2007$10.38B317,959$33K
2006$10.00B320,131$31K
2005$9.49B324,945$29K
2004$9.46B330,988$29K
2003$9.20B334,893$27K
2002$9.21B338,457$27K
2001$9.07B343,243$26K
2000$8.86B347,144$26K
1999$8.44B350,156$24K
1998$8.29B352,939$23K
1997$8.17B357,120$23K
1996$7.80B362,042$22K
1995$7.72B368,822$21K
1994$7.64B376,039$20K
1993$7.47B382,415$20K
1992$7.31B389,023$19K
1991——$18K

NFIP FLOOD CLAIMS

FEMA National Flood Insurance Program (NFIP) realised flood loss claims in St. Louis city.

FEMA NFIP redacted claims (nfip_claim, county_code)

2024-07-16$10K$10K$0Yes
2024-05-02$16K$16K$214.71Yes
2023-05-14$9K$9K$0Yes
2023-05-14$0——Yes
2023-05-14$17K$15K$2KYes
2023-05-14$2K$2K$0Yes
2023-05-03$0——No
2022-08-03$1K$1K$0No
2022-07-28$9K$9K$0Yes
2022-07-27$35K$35K$0Yes
2022-07-26$31K$31K$0Yes
2022-07-26$62K$62K$0Yes
2022-07-26$500K$500K$0No
2022-07-26$43K$36K$6KYes
2022-07-26$17K$17K$0Yes
2022-07-26$37K$37K$0Yes
2022-07-26$0——No
2022-07-26$46K$46K$0No
2022-07-26$82K$82K$0Yes
2022-07-26$23K$23K$0Yes
2022-07-26$500K$500K$0No
2022-07-26$72K$66K$6KYes
2022-07-26$59K$59K$0Yes
2022-07-26$77K$77K$0No
2022-07-26$12K$12K$0Yes
2022-07-26$70K$70K$0Yes
2022-07-26$2K$2K$0Yes
2022-07-25$11K$6K$6KNo
2022-05-19$4K$4K$0Yes
2019-06-01$75K$75K$0No
2019-06-01$99K$97K$2KNo
2019-06-01$16K$16K$0No
2019-05-30$285K$285K$0No
2019-05-23$0——No
2019-05-23$5K$4K$174.28Yes
2019-05-23$34K$34K$0Yes
2019-05-02$175K$175K$0No
2019-03-25$33K$33K$0No
2017-05-29$0——Yes
2017-04-30$33K$33K$0No
2016-01-01$1K$1K$0Yes
2016-01-01$109K$35K$75KNo
2015-12-31$1K$1K$0Yes
2015-12-30$429.11$429.11$0Yes
2015-12-28$5K$5K$0No
2015-12-28$210.13$210.13$0No
2015-12-28$4K$4K$0No
2015-12-27$0——Yes
2015-12-27$39K$39K$0No
2015-12-27$5K$5K$0Yes
2015-08-09$0——No
2015-08-05$0——No
2015-07-10$12K$12K$0No
2015-06-28$4K$4K$0No
2015-06-28$0——No
2015-06-19$0——Yes
2015-06-19$0——No
2015-06-19$0——Yes
2015-06-19$6K$6K$0No
2015-06-19$0——Yes
2015-06-19$0——Yes
2015-06-19$0——No
2015-06-19$0——Yes
2015-06-19$4K$4K$0Yes
2015-06-19$11K$11K$0No
2015-06-18$24K$24K$0No
2014-01-09$1K$1K$0No
2013-06-03$0——Yes
2013-05-30$46K$46K$0No
2013-04-20$25K$25K$0No
2011-07-02$19K$19K$0No
2011-06-27$0——No
2011-06-26$23K$23K$0Yes
2011-06-26$171K$121K$50KNo
2011-04-27$25K$25K$0No
2011-04-04$0——Yes
2010-07-21$2K$2K$0Yes
2010-07-21$200K$57K$142KNo
2010-07-12$29K$29K$0No
2010-06-30$10K$10K$0No
2010-06-22$31K$31K$0No
2010-05-26$4K$4K$0No
2010-05-26$671.62$671.62$0Yes
2010-05-18$30K$30K$0No
2009-10-30$0——Yes
2008-09-17$4K$4K$0Yes
2008-09-15$27K$27K$0No
2008-09-14$815.88$815.88$0Yes
2008-09-14$23K$23K$0No
2008-09-14$3K$3K$0Yes
2008-09-14$2K$2K$0Yes
2008-09-14$4K$4K$0Yes
2008-09-14$47K$47K$0Yes
2008-09-14$3K$2K$786.48Yes
2008-09-14$732.47$732.47$0Yes
2008-09-14$8K$8K$0Yes
2008-09-14$4K$4K$0Yes
2008-09-14$0——Yes
2008-09-13$474.27$474.27$0Yes
2008-07-05$701.13$385.08$316.05No

ALSO CHECKED

18 more data areas were checked for St. Louis city and did not earn a tab. A missing tab and an unasked question look the same on screen, so each one is named with the reason it is missing.

  • WRONG GRAIN
    FHA

    FHA Neighborhood Watch DOES publish county rows, but keys them on a free-text county NAME (“CHITTENDEN|VT”), not a FIPS code, and the single-family endorsement snapshot's property_county is likewise free text. Joining either to a county FIPS by name would attribute one county's delinquency to another wherever a name repeats, so FHA is a state-grain tab only until a curated name→FIPS crosswalk exists

  • WRONG GRAIN
    Fannie / Freddie

    the FHFA public-use database publishes single-family acquisitions at STATE and CENSUS-TRACT grain; no county rollup is published or loaded, and rolling tracts up to counties would double-count the tracts that straddle a county line

  • WRONG GRAIN
    GSE credit-risk transfer

    CAS and STACR loan-level disclosures publish PROPERTY STATE and a 3-digit zip; neither carries a county code, so credit-risk-transfer collateral cannot be attributed to a county

  • WRONG GRAIN
    Ginnie Mae

    Ginnie Mae's loan-level disclosure publishes PROPERTY STATE and nothing finer — there is no county, ZIP or tract field in the file, so agency-pool collateral has no county grain at all. The same is true of the UMBS pool file (fhfa_mbs_pool), which carries only CA/NY/FL/TX/PR concentration percentages

  • WRONG GRAIN
    Housing finance agency

    a housing finance agency is a STATE-chartered body — county is not a grain it has. Its programmes reach counties, but the agency itself is one row per state: hfa_agency is keyed on state_code and carries no county column, and there is no county-level agency underneath it to aggregate from

  • WRONG GRAIN
    CUSO network

    the NCUA CUSO Registry publishes a CUSO's city and STATE and no county at all (cuso_registry, migration 0195). A county FIPS does exist on the member-credit-union side (cuso_credit_union_link.cu_county_fips), but it is the CREDIT UNION'S CHARTER ADDRESS — where the institution is registered, not where the mortgage service it buys is delivered — so a county tab built on it would pin a statewide, often multi-state, service relationship onto the one county a charter document happens to name

  • WRONG GRAIN
    Subservicing map

    the same absence, one grain finer: subservicing_relationships holds no property or collateral column at all, so there is nothing to aggregate to a county. Where a client is a state HFA, the state housing finance agency area on this hub carries that agency and its named master servicer at its own state grain

  • WRONG GRAIN
    Co-issue MSR

    the same absence, and worse at county grain: Ginnie's loan-level disclosure publishes property STATE and nothing finer — no county, ZIP or tract field exists in the file — so even the collateral split that is rejected above at state grain is not available here at all

  • WRONG GRAIN
    MSR transfer graph

    the same absence at a finer grain, with no additional route to one: ginnie_servicing_transfers has no county column and the Ginnie loan-level disclosure it would have to be joined to publishes property state and nothing finer — no county, ZIP or tract field exists in either file

  • WRONG GRAIN
    Builder & realtor JV

    the same absence, one grain finer: the affiliation corpus has no geographic column at all, so nothing can be aggregated to a county. The affiliate lender's actual county-level originations are on the HMDA area of the county hub, keyed on the lender rather than on its parent

  • WRONG GRAIN
    Non-QM deal calendar

    the same structural gap, one grain finer: a 144A non-QM deal publishes no asset-level file at all, so there is no loan, no property and therefore no county to attribute anything to. This is the one absence on this hub that no future load can close

  • WRONG GRAIN
    Agency-MBS demand

    the same absence, and Ginnie's disclosure has no county field at any grain, so even the collateral allocation that is rejected above at state grain cannot be computed here

  • WRONG GRAIN
    Complaints-rate stack

    the same broken denominator, plus a numerator that does not reach county either: the CFPB publishes a complaint's state and a partially redacted ZIP and no county, so neither half of this ratio exists at county grain

  • WRONG GRAIN
    NMLS licensing

    NMLS licences are issued by a STATE regulator and the industry report is published by state agency and quarter; there is no county in the licensing system to aggregate to

  • WRONG GRAIN
    CFPB complaints

    the CFPB publishes a complaint's STATE and a partially redacted ZIP; it publishes no county, and deriving one from a redacted ZIP would put complaints in the wrong county wherever a ZIP straddles a county line

  • WRONG GRAIN
    State enforcement

    enforcement orders are issued by a STATE regulator against a licensee; they carry no property or county

  • WRONG GRAIN
    WARN notices

    a WARN notice names an employer, a CITY and a region — no county code — and matching city to county by name is ambiguous in most states

  • WRONG GRAIN
    Mortgage employment

    the QCEW extract loaded here holds STATE and METRO area types only — the county-level QCEW file is a separate, far larger download that is not loaded, so county mortgage employment cannot be shown honestly

Several of the areas above are published only at state grain. They are all on the MO state hub, which carries the same registry at the grain those sources actually have.

Go deeper

EVERY HMDA RECORD IN ST. LOUIS CITY →Opens the loan explorer already filtered to county FIPS 29510.

See the Missouri state market profile for the statewide picture, the Missouri state hub for every dataset we hold on the state in one place, or the national lender leaderboard for who is largest across every market.

Sources: HMDA public loan-level disclosure (CFPB/FFIEC) aggregated to county-year; U.S. Census Bureau American Community Survey; FEMA National Risk Index and disaster declarations. Figures are as loaded — see data attribution.

Fair-lending context: denial rates and demographic figures shown here are descriptive statistics derived from public HMDA and U.S. Census data. HMDA does not contain the credit, income, or underwriting variables that explain most lending outcomes, so a difference between lenders or areas is a statistical observation about published data — not evidence of, and not a determination of, discrimination or redlining by any institution.