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State markets/Mississippi/Yalobusha County

COUNTY MORTGAGE MARKET · FIPS 28161

Yalobusha County, Mississippi

Who lends in Yalobusha County, 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

$32.9M

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

Originations · 2025

254

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

Denial rate · 2025

22.2%

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

Lenders active · 2025

83

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 83 lenders that originated in Yalobusha County in 2025. HHI is the Herfindahl-Hirschman index over lender shares.

Concentration (HHI)

685

unconcentrated

Top-5 lender share

44.2%

of originations

Purchase

55.6%

124 loans

Refinance

44.4%

99 loans

Origination trend

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

Lenders in Yalobusha County

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 Yalobusha County 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 YALOBUSHA COUNTY

TOP TEN LENDERS IN YALOBUSHA COUNTY · 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.

91$6.9M$6.9M originated in Yalobusha County, 2025Share needs a county-wide denominator, which the narrower fallback source does not carry.
17$2.6M$2.6M originated in Yalobusha County, 2025Share needs a county-wide denominator, which the narrower fallback source does not carry.
11$2.1M$2.1M originated in Yalobusha County, 2025Share needs a county-wide denominator, which the narrower fallback source does not carry.
12$1.5M$1.5M originated in Yalobusha County, 2025Share needs a county-wide denominator, which the narrower fallback source does not carry.
9$1.5M$1.5M originated in Yalobusha County, 2025Share needs a county-wide denominator, which the narrower fallback source does not carry.
10$1.4M$1.4M originated in Yalobusha County, 2025Share needs a county-wide denominator, which the narrower fallback source does not carry.
4$1.1M$1.1M originated in Yalobusha County, 2025Share needs a county-wide denominator, which the narrower fallback source does not carry.
8$1.1M$1.1M originated in Yalobusha County, 2025Share needs a county-wide denominator, which the narrower fallback source does not carry.
2$860K$860K originated in Yalobusha County, 2025Share needs a county-wide denominator, which the narrower fallback source does not carry.
9$855K$855K originated in Yalobusha County, 2025Share 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 Yalobusha County

All 7 ZIP Code Tabulation Areas that touch Yalobusha County, 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.
7 OF 7 ZIP AREASEVERY ZIP AREA TOUCHING THE COUNTY — NO ROWS WITHHELD
TOP LENDERRECORDS
22 of the 4 Yalobusha County tracts this ZIP area touches sit mostly inside it.6,37936.4%1,716TRACTS →HMDA reports no ZIP. This opens the ZIP area's tract list, where each tract's records open exactly.
11 of the 3 Yalobusha County tracts this ZIP area touches sit mostly inside it.3,45741.7%1,284OPEN →This ZIP area is one census tract here, so its records open directly and exactly.
11 of the 1 Yalobusha County tract this ZIP area touches sit mostly inside it.2,64552.5%583OPEN →This ZIP area is one census tract here, so its records open directly and exactly.
0This ZIP area clips 1 tract of Yalobusha County 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 Yalobusha County 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 Yalobusha County 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 Yalobusha County 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.

4 of Yalobusha County’s 5 census tracts are grouped into the ZIP areas above; the other 1 lie in no ZCTA at all — water, parkland or unpopulated area the Census leaves outside every ZIP polygon — and are listed in the census-tract table below. 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 Yalobusha County

All 5 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.

5 OF 5 TRACTSEVERY TRACT IN THE COUNTY — NO ROWS WITHHELD
TOP LENDERRECORDS
Middle92.8%3,45741.7%OPEN →
Middle101.9%4,25343.4%OPEN →
Middle92.4%2,64552.5%OPEN →
Middle109.3%2,12622.2%OPEN →
Middle98.1%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

12,419

Median household income

$49,151

Median home value

$122,300

Median gross rent

$667

per month

Owner-occupied

69.3%

of occupied units

Housing units

6,504

23.2% vacant

Poverty rate

21.5%

Unemployment

5.9%

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

Very Low

score 19.5

Social vulnerability

Relatively High

Community resilience

Relatively Low

Federal disaster history

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

Months with an active declaration

70

Declarations recorded

20

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

Everything we hold on Yalobusha County

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 Yalobusha County.

HMDA loan-level (hmda_loan_wide, county_code)

Open the loan explorer for Yalobusha CountyEvery reported application and origination in FIPS 28161, filterable on rate, amount, income, purpose and action taken. Loan-level tier.

VA

VA-guaranteed lending in Yalobusha County 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

6

Purchase share

66.7%

4 loans

IRRRL refinances

2

Cash-out refinances

0

20266420
202512345
202413832
20239702
2022724
202112642
2020217122
201913805
201815915
201712723
20169414
20159630

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 Yalobusha County — 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

Yalobusha County 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

21

−12.5% vs 2024

Multifamily · 2025

0

Total authorized · 2025

21

−12.5% vs 2024

Permit valuation · 2025

$1.2M

authorized construction value

Units authorized by year

Yalobusha County · total permitted units · hover for the single-family split

UNITS · SF IN TOOLTIP
013253850199019921994199619982000200220042006200820102012201420162018202020222024202521 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 Yalobusha County, showing population movement and wealth transfer.

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

outflow2223Other flows - West, DS
inflow2223Foreign - Other flows, FR
inflow2223Other flows - West, DS
inflow2223Other flows - Midwest, DS
outflow2223Other flows - Northeast, DS
outflow2223Other flows - Midwest, DS
inflow2223Other flows - Northeast, DS
outflow2223Lafayette County, MS77159$3.4M
inflow2223Other flows - South, DS65123$3.0M
inflow2223Lafayette County, MS63129$3.5M
outflow2223Other flows - South, DS5383$2.3M
inflow2223Grenada County, MS3983$1.3M
outflow2223Grenada County, MS3873$1.0M
inflow2223Panola County, MS3252$1.2M
outflow2223Panola County, MS3060$1.3M
outflow2223DeSoto County, MS2035$1.2M
inflow2122Other flows - Northeast, DS
inflow2122Other flows - West, DS
outflow2122Other flows - Northeast, DS
outflow2122Other flows - Midwest, DS
outflow2122Other flows - West, DS
outflow2122Lafayette County, MS73142$2.8M
inflow2122Lafayette County, MS62131$2.8M
inflow2122Other flows - South, DS5895$3.3M
outflow2122Other flows - South, DS5183$2.2M
inflow2122Panola County, MS4188$1.2M
inflow2122Grenada County, MS3990$1.5M
outflow2122Grenada County, MS3579$1.2M
outflow2122Panola County, MS2545$719K
inflow2122Other flows - Midwest, DS2339$694K
inflow2021Other flows - West, DS
outflow2021Other flows - Northeast, DS
outflow2021Other flows - Midwest, DS
outflow2021Other flows - West, DS
inflow2021Other flows - Northeast, DS
inflow2021Other flows - Midwest, DS
outflow2021Lafayette County, MS85177$2.9M
inflow2021Lafayette County, MS58114$2.4M
outflow2021Other flows - South, DS5793$2.1M
inflow2021Other flows - South, DS56104$4.3M
inflow2021Grenada County, MS3782$1.3M
outflow2021Grenada County, MS3370$1.1M
inflow2021Panola County, MS2852$871K
inflow2021DeSoto County, MS2535$1.3M
outflow1920Foreign - Other flows, FR
inflow1920Foreign - Other flows, FR
inflow1920Other flows - West, DS
inflow1920Other flows - Midwest, DS
outflow1920Other flows - West, DS
outflow1920Other flows - Northeast, DS
outflow1920Other flows - Midwest, DS
inflow1920Lafayette County, MS84175$2.7M
inflow1920Other flows - South, DS63122$2.7M
outflow1920Lafayette County, MS60147$1.7M
outflow1920Other flows - South, DS50104$1.1M
outflow1920Tallahatchie County, MS4089$1.4M
outflow1920Grenada County, MS3270$928K
inflow1920Tallahatchie County, MS3170$1.1M
inflow1920Panola County, MS3165$1.2M
inflow1920Grenada County, MS2865$914K
outflow1920Panola County, MS2755$845K
inflow1819Other flows - West, DS
outflow1819Other flows - Northeast, DS
outflow1819Other flows - Midwest, DS
outflow1819Other flows - West, DS
inflow1819Other flows - Northeast, DS
inflow1819Other flows - Midwest, DS
outflow1819Lafayette County, MS87198$3.7M
inflow1819Lafayette County, MS62141$2.2M
outflow1819Grenada County, MS55120$1.9M
outflow1819Other flows - South, DS52109$1.8M
inflow1819Other flows - South, DS5087$1.7M
inflow1819Grenada County, MS3049$1.2M
outflow1819Panola County, MS2654$877K
outflow1819Tallahatchie County, MS2659$787K
inflow1819Panola County, MS2245$728K
inflow1718Foreign - Other flows, FR
inflow1718Other flows - Northeast, DS
inflow1718Other flows - West, DS
outflow1718Other flows - Northeast, DS
outflow1718Other flows - Midwest, DS
inflow1718Other flows - Midwest, DS
outflow1718Other flows - West, DS
outflow1718Lafayette County, MS70148$2.0M
inflow1718Lafayette County, MS70142$2.6M
outflow1718Other flows - South, DS57109$2.3M
inflow1718Other flows - South, DS4692$2.4M
outflow1718Grenada County, MS3782$1.6M
inflow1718Grenada County, MS3683$1.4M
inflow1718Panola County, MS2855$1.1M
outflow1718Panola County, MS2360$1.0M
inflow1718DeSoto County, MS2040$712K
inflow1617Foreign - Other flows, FR
outflow1617Other flows - Northeast, DS
outflow1617Other flows - Midwest, DS
outflow1617Other flows - West, DS
inflow1617Other flows - Northeast, DS
inflow1617Other flows - West, DS
inflow1617Lafayette County, MS98214$3.1M
outflow1617Other flows - South, DS79162$3.1M
outflow1617Lafayette County, MS68159$2.3M
inflow1617Other flows - South, DS50107$2.1M
inflow1617Grenada County, MS3580$1.3M
inflow1617Panola County, MS3578$1.1M
outflow1617Panola County, MS3075$1.3M
inflow1617Tallahatchie County, MS2971$1.1M
outflow1617Grenada County, MS2873$1.2M
outflow1617Calhoun County, MS2246$666K
inflow1617Other flows - Midwest, DS2154$498K
inflow1516Other flows - Northeast, DS
inflow1516Foreign - Other flows, FR
inflow1516Other flows - West, DS
outflow1516Other flows - Northeast, DS
outflow1516Other flows - Midwest, DS
inflow1516Other flows - Midwest, DS
outflow1516Other flows - West, DS
outflow1516Lafayette County, MS67135$2.2M
inflow1516Lafayette County, MS59153$2.6M
inflow1516Other flows - South, DS54109$2.2M
outflow1516Other flows - South, DS50100$1.7M
inflow1516Grenada County, MS3575$1.4M
outflow1516Grenada County, MS3073$830K
inflow1516Panola County, MS2643$783K
outflow1516Tallahatchie County, MS2245$332K
outflow1415Other flows - Midwest, DS
outflow1415Other flows - West, DS
inflow1415Other flows - Northeast, DS
inflow1415Other flows - Midwest, DS
inflow1415Other flows - West, DS
outflow1415Lafayette County, MS61118$2.3M
inflow1415Other flows - South, DS4998$1.7M
inflow1415Lafayette County, MS46105$1.3M
outflow1415Other flows - South, DS4385$1.6M
inflow1415Grenada County, MS3972$753K
outflow1415Grenada County, MS3371$981K
inflow1415Panola County, MS2653$677K
inflow1415Tallahatchie County, MS2151$562K
inflow1314Other flows - Midwest, DS
inflow1314Other flows - West, DS
inflow1314Foreign - Other flows, FR
outflow1314Other flows - Northeast, DS
outflow1314Other flows - Midwest, DS
outflow1314Other flows - West, DS
inflow1314Other flows - Northeast, DS
inflow1314Lafayette County, MS76155$2.8M
outflow1314Other flows - South, DS63137$2.1M
outflow1314Lafayette County, MS63145$2.0M
inflow1314Other flows - South, DS54101$1.7M
outflow1314Grenada County, MS4396$1.2M
inflow1314Grenada County, MS39109$1.1M
outflow1314DeSoto County, MS2450$665K
inflow1314Panola County, MS2054$451K
outflow1314Panola County, MS2050$505K
outflow1314Tallahatchie County, MS2039$495K
outflow1213Other flows - Northeast, DS
inflow1213Other flows - Northeast, DS
inflow1213Lafayette County, MS84169$2.8M
outflow1213Lafayette County, MS63145$2.3M
outflow1213Other flows - South, DS5898$1.8M
inflow1213Other flows - South, DS55112$2.1M
outflow1213Grenada County, MS4098$1.1M
outflow1213Panola County, MS2848$571K
inflow1213Panola County, MS2655$901K
inflow1213Grenada County, MS2555$885K
inflow1213Tallahatchie County, MS2555$639K
inflow1213Calhoun County, MS2252$609K
inflow1213Other flows - Midwest, DS2047$444K
outflow1213Tallahatchie County, MS1939$1.6M
outflow1213Other flows - Midwest, DS1832$435K
outflow1213Shelby County, TN1837$355K
outflow1213Calhoun County, MS1433$251K
outflow1213Other flows - West, DS1335$252K
inflow1213DeSoto County, MS1327$359K
inflow1213Shelby County, TN1118$449K
outflow1213DeSoto County, MS1120$459K
inflow1213Other flows - West, DS1018$359K
outflow1112Other flows - West, DS
inflow1112Foreign - Other flows, FR
inflow1112Other flows - West, DS
inflow1112Other flows - Northeast, DS
outflow1112Lafayette County, MS101232$3.4M
outflow1112Tallahatchie County, MS100234$3.7M
inflow1112Lafayette County, MS57127$1.6M
inflow1112Tallahatchie County, MS52106$1.4M
inflow1112Other flows - South, DS4586$1.3M
outflow1112Other flows - South, DS4185$1.0M
outflow1112Grenada County, MS4094$822K
outflow1112Panola County, MS3897$1.1M
inflow1112Grenada County, MS3788$1.0M
outflow1112Other flows - Midwest, DS2968$1.2M
inflow1112Panola County, MS2862$802K
inflow1112Calhoun County, MS1947$331K
inflow1112Other flows - Midwest, DS1834$689K
outflow1112Calhoun County, MS1841$594K
inflow1112Shelby County, TN1428$347K
outflow1112Shelby County, TN1423$404K
outflow1112DeSoto County, MS1225$564K

UAD APPRAISALS

FHFA Uniform Appraisal Dataset aggregates for Yalobusha County.

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

2023PurchaseNo CharacteristicAll Appraisals43.0
2023PurchaseNo CharacteristicAll Appraisals0.1
2023RefinanceNo CharacteristicAll Appraisals27.0
2023PurchaseNo CharacteristicAll Appraisals1.1
2023BothNo CharacteristicAll Appraisals70.0
2023PurchaseNo CharacteristicAll Appraisals0.9
2023PurchaseNo CharacteristicAll Appraisals0.9
2023RefinanceNo CharacteristicAll Appraisals152,000.0
2023BothNo CharacteristicAll Appraisals151,000.0
2023PurchaseNo CharacteristicAll Appraisals148,000.0
2023PurchaseNo CharacteristicAll Appraisals0.0
2022PurchaseNo CharacteristicAll Appraisals1.1
2022BothNo CharacteristicAll Appraisals164,000.0
2022PurchaseNo CharacteristicAll Appraisals0.1
2022PurchaseNo CharacteristicAll Appraisals160,000.0
2022PurchaseNo CharacteristicAll Appraisals1.0
2022RefinanceNo CharacteristicAll Appraisals26.0
2022PurchaseNo CharacteristicAll Appraisals0.1
2022PurchaseNo CharacteristicAll Appraisals0.8
2022RefinanceNo CharacteristicAll Appraisals167,000.0
2022BothNo CharacteristicAll Appraisals63.0
2022PurchaseNo CharacteristicAll Appraisals37.0
2021PurchaseNo CharacteristicAll Appraisals1.1
2021RefinanceNo CharacteristicAll Appraisals159,800.0
2021BothNo CharacteristicAll Appraisals108.0
2021PurchaseNo CharacteristicAll Appraisals0.9
2021PurchaseNo CharacteristicAll Appraisals48.0
2021PurchaseNo CharacteristicAll Appraisals0.1
2021RefinanceNo CharacteristicAll Appraisals60.0
2021PurchaseNo CharacteristicAll Appraisals0.1
2021BothNo CharacteristicAll Appraisals155,000.0
2021PurchaseNo CharacteristicAll Appraisals0.9
2021PurchaseNo CharacteristicAll Appraisals146,000.0
2020PurchaseNo CharacteristicAll Appraisals0.1
2020PurchaseNo CharacteristicAll Appraisals1.0
2020BothNo CharacteristicAll Appraisals94.0
2020PurchaseNo CharacteristicAll Appraisals26.0
2020PurchaseNo CharacteristicAll Appraisals0.7
2020BothNo CharacteristicAll Appraisals171,800.0
2020RefinanceNo CharacteristicAll Appraisals201,500.0
2020RefinanceNo CharacteristicAll Appraisals68.0
2020PurchaseNo CharacteristicAll Appraisals115,000.0
2020PurchaseNo CharacteristicAll Appraisals1.0
2020PurchaseNo CharacteristicAll Appraisals0.2
2019PurchaseNo CharacteristicAll Appraisals0.0
2019PurchaseNo CharacteristicAll Appraisals1.0
2019BothNo CharacteristicAll Appraisals140,000.0
2019PurchaseNo CharacteristicAll Appraisals47.0
2019PurchaseNo CharacteristicAll Appraisals0.1
2019PurchaseNo CharacteristicAll Appraisals1.1
2019RefinanceNo CharacteristicAll Appraisals170,000.0
2019BothNo CharacteristicAll Appraisals91.0
2019RefinanceNo CharacteristicAll Appraisals44.0
2019PurchaseNo CharacteristicAll Appraisals120,000.0
2019PurchaseNo CharacteristicAll Appraisals0.9
2018RefinanceNo CharacteristicAll Appraisals130,000.0
2018BothNo CharacteristicAll Appraisals78.0
2018PurchaseNo CharacteristicAll Appraisals37.0
2018RefinanceNo CharacteristicAll Appraisals41.0
2018BothNo CharacteristicAll Appraisals117,500.0
2018PurchaseNo CharacteristicAll Appraisals110,000.0
2018PurchaseNo CharacteristicAll Appraisals0.8
2018PurchaseNo CharacteristicAll Appraisals0.1
2018PurchaseNo CharacteristicAll Appraisals0.1
2018PurchaseNo CharacteristicAll Appraisals1.0
2018PurchaseNo CharacteristicAll Appraisals1.1
2017RefinanceNo CharacteristicAll Appraisals156,000.0
2017PurchaseNo CharacteristicAll Appraisals1.0
2017PurchaseNo CharacteristicAll Appraisals1.1
2017PurchaseNo CharacteristicAll Appraisals0.1
2017PurchaseNo CharacteristicAll Appraisals0.1
2017BothNo CharacteristicAll Appraisals94.0
2017PurchaseNo CharacteristicAll Appraisals42.0
2017PurchaseNo CharacteristicAll Appraisals104,300.0
2017RefinanceNo CharacteristicAll Appraisals52.0
2017PurchaseNo CharacteristicAll Appraisals0.9
2017BothNo CharacteristicAll Appraisals116,300.0
2016PurchaseNo CharacteristicAll Appraisals22.0
2016RefinanceNo CharacteristicAll Appraisals135,000.0
2016PurchaseNo CharacteristicAll Appraisals0.9
2016PurchaseNo CharacteristicAll Appraisals106,500.0
2016PurchaseNo CharacteristicAll Appraisals0.9
2016PurchaseNo CharacteristicAll Appraisals0.0
2016BothNo CharacteristicAll Appraisals130,000.0
2016PurchaseNo CharacteristicAll Appraisals1.1
2016PurchaseNo CharacteristicAll Appraisals0.1
2016BothNo CharacteristicAll Appraisals55.0
2016RefinanceNo CharacteristicAll Appraisals33.0
2015PurchaseNo CharacteristicAll Appraisals1.1
2015PurchaseNo CharacteristicAll Appraisals97,500.0
2015PurchaseNo CharacteristicAll Appraisals0.1
2015RefinanceNo CharacteristicAll Appraisals115,000.0
2015BothNo CharacteristicAll Appraisals60.0
2015RefinanceNo CharacteristicAll Appraisals31.0
2015PurchaseNo CharacteristicAll Appraisals0.1
2015PurchaseNo CharacteristicAll Appraisals0.8
2015PurchaseNo CharacteristicAll Appraisals29.0
2015BothNo CharacteristicAll Appraisals102,000.0
2015PurchaseNo CharacteristicAll Appraisals0.9
2014BothNo CharacteristicAll Appraisals105,500.0

ECONOMY & INCOME

Local economy indicators — BLS unemployment rates and BEA personal income for Yalobusha County.

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

BLS Local Area Unemployment

2026-055,2775,1041733.3%
2026-045,3325,1821502.8%
2026-035,3185,1211973.7%
2026-025,3745,1492254.2%
2026-015,1935,0071863.6%
2025-125,3305,1581723.2%
2025-115,3575,1711863.5%
2025-095,4095,2092003.7%
2025-085,2535,0262274.3%
2025-075,1934,9752184.2%
2025-065,2415,0162254.3%
2025-055,1754,9911843.6%
2025-045,3035,1351683.2%
2025-035,3415,1481933.6%
2025-025,3785,1632154.0%
2025-015,2155,0142013.9%
2024-125,2245,0381863.6%
2024-115,2075,0241833.5%
2024-105,2435,0751683.2%
2024-095,2625,0891733.3%
2024-085,1594,9651943.8%
2024-075,1084,9002084.1%
2024-065,1754,9552204.3%
2024-055,1975,0321653.2%
2024-045,2285,1131152.2%
2024-035,1545,0151392.7%
2024-025,1575,0131442.8%
2024-014,9854,8201653.3%
2023-125,1024,9671352.6%
2023-115,1445,0101342.6%
2023-105,1244,9851392.7%
2023-095,1645,0091553.0%
2023-085,0724,8761963.9%
2023-075,0114,8102014.0%
2023-065,0864,8712154.2%
2023-055,0954,9251703.3%
2023-045,0894,9441452.8%
2023-035,1374,9461913.7%
2023-025,1104,9411693.3%
2023-015,0144,8291853.7%
2022-125,0134,8511623.2%
2022-115,0644,8911733.4%
2022-105,1034,9311723.4%
2022-095,0794,8921873.7%
2022-085,0154,8042114.2%
2022-075,0364,8102264.5%
2022-065,0814,8432384.7%
2022-055,1194,9431763.4%
2022-045,1564,9931633.2%
2022-035,1444,9741703.3%
2022-025,1474,9372104.1%
2022-015,0784,8522264.5%
2021-125,1214,9521693.3%
2021-115,1604,9861743.4%
2021-105,2285,0212074.0%
2021-095,3235,0982254.2%
2021-085,2124,9452675.1%
2021-075,2024,9003025.8%
2021-065,1634,8273366.5%
2021-055,1684,8712975.7%
2021-045,2064,9352715.2%
2021-035,2584,9413176.0%
2021-025,2394,8953446.6%
2021-015,0834,7513326.5%
2020-125,1164,8043126.1%
2020-115,1814,8892925.6%
2020-105,2184,9372815.4%
2020-095,2034,8813226.2%
2020-085,0614,7383236.4%
2020-075,0424,6264168.3%
2020-065,0454,53151410.2%
2020-054,8894,35253711.0%
2020-044,8434,14969414.3%
2020-035,2994,9733266.2%
2020-025,3415,0802614.9%
2020-015,2204,9532675.1%
2019-125,2374,9962414.6%
2019-115,2324,9762564.9%
2019-105,2625,0142484.7%
2019-095,3355,0542815.3%
2019-085,2604,9193416.5%
2019-075,2454,8783677.0%
2019-065,2264,8513757.2%
2019-055,2114,9292825.4%
2019-045,2224,9602625.0%
2019-035,3485,0642845.3%
2019-025,3595,0722875.4%
2019-015,2664,9712955.6%
2018-125,3785,1252534.7%
2018-115,4075,1792284.2%
2018-105,5045,2832214.0%
2018-095,4915,2592324.2%
2018-085,2764,9932835.4%
2018-075,3004,9813196.0%
2018-065,3925,0523406.3%
2018-055,3945,1502444.5%
2018-045,4225,1852374.4%
2018-035,3965,1512454.5%
2018-025,4065,1382685.0%
2018-015,2584,9902685.1%

BEA Personal Income

2024$562.6M12,458$45K
2023$546.6M12,369$44K
2022$519.6M12,395$42K
2021$536.3M12,438$43K
2020$501.8M12,436$40K
2019$463.9M12,557$37K
2018$455.3M12,780$36K
2017$438.2M12,805$34K
2016$424.8M12,775$33K
2015$419.5M12,714$33K
2014$408.7M12,512$33K
2013$405.7M12,536$32K
2012$394.4M12,502$32K
2011$381.6M12,579$30K
2010$350.4M12,638$28K
2009$322.7M12,827$25K
2008$321.5M12,857$25K
2007$312.5M13,036$24K
2006$304.1M12,976$23K
2005$292.5M12,979$23K
2004$286.8M12,961$22K
2003$276.7M13,089$21K
2002$269.5M13,139$21K
2001$271.1M13,265$20K
2000$247.1M13,125$19K
1999$234.9M12,794$18K
1998$223.0M12,563$18K
1997$217.0M12,420$17K
1996$208.8M12,354$17K
1995$197.6M12,383$16K
1994$196.2M12,409$16K
1993$181.9M12,173$15K
1992$173.8M12,182$14K
1991$13K

NFIP FLOOD CLAIMS

FEMA National Flood Insurance Program (NFIP) realised flood loss claims in Yalobusha County.

FEMA NFIP redacted claims (nfip_claim, county_code)

2025-05-25$37K$37K$0Yes
2024-04-10$10K$10K$0No
2021-06-08$35K$30K$5KYes
2019-02-23$16K$16K$0Yes
2001-02-16$0No
1994-02-10$0No
1993-01-11$0No
1993-01-06$0No
1991-02-18$2K$2K$0No
1984-05-07$42K$11K$31KNo
1984-05-07$18K$10K$8KNo
1984-05-07$16K$0$16KNo
1984-05-07$10K$0$10KNo
1984-05-07$15K$0$15KNo
1984-05-07$12K$0$12KNo
1984-05-07$2K$0$2KNo
1984-05-07$5K$0$5KNo
1984-05-07$6K$0$6KNo
1984-05-07$19K$0$19KNo
1984-05-07$5K$5K$0No
1984-05-07$14K$5K$8KNo
1984-05-07$11K$0$11KNo
1983-12-03$2K$2K$0No
1983-12-03$286.71$286.71$0No
1983-12-03$3K$0$3KNo
1983-12-03$2K$0$2KNo
1983-12-03$4K$678.36$4KNo
1983-12-03$908.18$0$908.18No
1983-12-03$1K$0$1KNo
1983-05-21$2K$0$2KNo
1983-05-21$5K$0$5KNo
1983-05-21$38K$0$38KNo
1983-05-21$11K$1K$10KNo
1983-05-21$6K$0$6KNo
1983-05-21$8K$0$8KNo
1983-05-21$4K$0$4KNo
1983-05-21$2K$0$2KNo
1982-12-05$780$780$0No
1982-01-03$0No

ALSO CHECKED

18 more data areas were checked for Yalobusha County 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 MS state hub, which carries the same registry at the grain those sources actually have.

Go deeper

EVERY HMDA RECORD IN YALOBUSHA COUNTYOpens the loan explorer already filtered to county FIPS 28161.

See the Mississippi state market profile for the statewide picture, the Mississippi 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.