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State markets/Mississippi/Tunica County

COUNTY MORTGAGE MARKET · FIPS 28143

Tunica County, Mississippi

Who lends in Tunica 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

$15.9M

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

Originations · 2025

67

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

Denial rate · 2025

31.3%

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

Lenders active · 2025

50

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

Concentration (HHI)

2,434

moderately concentrated

Top-5 lender share

68.8%

of originations

Purchase

54.0%

27 loans

Refinance

46.0%

23 loans

Origination trend

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

Lenders in Tunica 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 Tunica 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 TUNICA COUNTY

TOP TEN LENDERS IN TUNICA 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.

3$7.6M$7.6M originated in Tunica County, 2025Share needs a county-wide denominator, which the narrower fallback source does not carry.
8$1.2M$1.2M originated in Tunica County, 2025Share needs a county-wide denominator, which the narrower fallback source does not carry.
9$795K$795K originated in Tunica County, 2025Share needs a county-wide denominator, which the narrower fallback source does not carry.
3$795K$795K originated in Tunica County, 2025Share needs a county-wide denominator, which the narrower fallback source does not carry.
2$570K$570K originated in Tunica County, 2025Share needs a county-wide denominator, which the narrower fallback source does not carry.
4$410K$410K originated in Tunica County, 2025Share needs a county-wide denominator, which the narrower fallback source does not carry.
4$390K$390K originated in Tunica County, 2025Share needs a county-wide denominator, which the narrower fallback source does not carry.
4$380K$380K originated in Tunica County, 2025Share needs a county-wide denominator, which the narrower fallback source does not carry.
2$360K$360K originated in Tunica County, 2025Share needs a county-wide denominator, which the narrower fallback source does not carry.
1$325K$325K originated in Tunica 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 Tunica County

All 5 ZIP Code Tabulation Areas that touch Tunica 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.
5 OF 5 ZIP AREASEVERY ZIP AREA TOUCHING THE COUNTY — NO ROWS WITHHELD
TOP LENDERRECORDS
22 of the 4 Tunica County tracts this ZIP area touches sit mostly inside it.4,08875.8%757TRACTS →HMDA reports no ZIP. This opens the ZIP area's tract list, where each tract's records open exactly.
11 of the 2 Tunica County tracts this ZIP area touches sit mostly inside it.3,50485.6%217OPEN →This ZIP area is one census tract here, so its records open directly and exactly.
11 of the 1 Tunica County tract this ZIP area touches sit mostly inside it.2,19083.7%571OPEN →This ZIP area is one census tract here, so its records open directly and exactly.
0This ZIP area clips 1 tract of Tunica 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 Tunica 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 Tunica 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 Tunica 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
Moderate51.4%2,19083.7%OPEN →
Moderate50.8%3,50485.6%OPEN →
Moderate66.8%4,08275.8%OPEN →
0.0%666.7%OPEN →
Moderate60.2%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

9,475

Median household income

$39,364

Median home value

$175,900

Median gross rent

$977

per month

Owner-occupied

39.5%

of occupied units

Housing units

4,812

21.0% vacant

Poverty rate

31.1%

Unemployment

13.3%

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 36.3

Social vulnerability

Very High

Community resilience

Relatively 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

61

Declarations recorded

18

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

Everything we hold on Tunica 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 Tunica County.

HMDA loan-level (hmda_loan_wide, county_code)

Open the loan explorer for Tunica CountyEvery reported application and origination in FIPS 28143, filterable on rate, amount, income, purpose and action taken. Loan-level tier.

VA

VA-guaranteed lending in Tunica 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

5

Purchase share

60.0%

3 loans

IRRRL refinances

1

Cash-out refinances

1

20265311
20252011
20244211
20233201
2022433
20217052
20203120
20196312
20181100
20175221
20166312
20154211

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 Tunica 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

Tunica 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

85

−5.6% vs 2024

Multifamily · 2025

0

Total authorized · 2025

85

−5.6% vs 2024

Permit valuation · 2025

$19.1M

authorized construction value

Units authorized by year

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

UNITS · SF IN TOOLTIP
0125250375500199019921994199619982000200220042006200820102012201420162018202020222024202585 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 Tunica County, showing population movement and wealth transfer.

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

inflow2223Other flows - West, DS
outflow2223Other flows - Northeast, DS
outflow2223Other flows - Midwest, DS
outflow2223Other flows - West, DS
inflow2223Other flows - Northeast, DS
inflow2223Other flows - Midwest, DS
outflow2223DeSoto County, MS131268$4.6M
inflow2223DeSoto County, MS96198$2.8M
outflow2223Other flows - South, DS53114$1.6M
outflow2223Shelby County, TN4998$1.2M
inflow2223Other flows - South, DS4794$1.3M
inflow2223Shelby County, TN3661$770K
outflow2223Coahoma County, MS3364$774K
inflow2223Coahoma County, MS2551$546K
outflow2223Quitman County, MS2042$517K
inflow2122Other flows - Midwest, DS
inflow2122Foreign - Other flows, FR
inflow2122Other flows - West, DS
outflow2122Other flows - Northeast, DS
outflow2122Other flows - Midwest, DS
outflow2122Other flows - West, DS
inflow2122Other flows - Northeast, DS
outflow2122DeSoto County, MS120267$3.6M
inflow2122DeSoto County, MS92195$2.9M
outflow2122Other flows - South, DS52106$1.7M
inflow2122Other flows - South, DS47104$1.2M
outflow2122Shelby County, TN45101$1.4M
inflow2122Coahoma County, MS4188$969K
inflow2122Shelby County, TN3361$671K
outflow2122Coahoma County, MS2650$1.0M
inflow2021Other flows - West, DS
outflow2021Other flows - Northeast, DS
outflow2021Other flows - West, DS
inflow2021Other flows - Northeast, DS
inflow2021Other flows - Midwest, DS
outflow2021DeSoto County, MS137293$4.4M
inflow2021DeSoto County, MS88183$2.6M
outflow2021Other flows - South, DS72122$2.1M
outflow2021Shelby County, TN52101$1.8M
inflow2021Other flows - South, DS4885$1.4M
inflow2021Coahoma County, MS4394$1.0M
inflow2021Shelby County, TN4279$926K
outflow2021Coahoma County, MS2246$451K
outflow2021Other flows - Midwest, DS2242$483K
outflow1920Other flows - West, DS
inflow1920Other flows - West, DS
inflow1920Other flows - Midwest, DS
outflow1920Other flows - Northeast, DS
outflow1920Other flows - Midwest, DS
inflow1920Other flows - Northeast, DS
outflow1920DeSoto County, MS139316$4.3M
inflow1920DeSoto County, MS77177$2.7M
outflow1920Shelby County, TN50106$2.1M
inflow1920Other flows - South, DS4386$1.6M
outflow1920Other flows - South, DS4075$1.3M
inflow1920Shelby County, TN3270$849K
inflow1920Coahoma County, MS3174$739K
outflow1920Coahoma County, MS2453$557K
inflow1819Other flows - Midwest, DS
inflow1819Other flows - Northeast, DS
inflow1819Other flows - West, DS
outflow1819Other flows - Northeast, DS
outflow1819Other flows - West, DS
outflow1819DeSoto County, MS144309$5.5M
outflow1819Other flows - South, DS60117$1.7M
inflow1819DeSoto County, MS56125$1.7M
inflow1819Other flows - South, DS4485$1.1M
outflow1819Shelby County, TN44111$1.0M
inflow1819Shelby County, TN3888$907K
inflow1819Coahoma County, MS3790$947K
outflow1819Coahoma County, MS3586$853K
outflow1819Other flows - Midwest, DS2142$561K
inflow1718Other flows - West, DS
outflow1718Other flows - Northeast, DS
outflow1718Other flows - West, DS
inflow1718Other flows - Northeast, DS
outflow1718DeSoto County, MS136318$4.0M
inflow1718DeSoto County, MS77162$2.2M
outflow1718Other flows - South, DS54111$2.0M
inflow1718Other flows - South, DS47100$1.2M
outflow1718Shelby County, TN4397$1.6M
inflow1718Coahoma County, MS4296$961K
inflow1718Shelby County, TN3067$490K
inflow1718Other flows - Midwest, DS2754$748K
outflow1718Coahoma County, MS2768$931K
outflow1718Other flows - Midwest, DS2562$695K
inflow1718Quitman County, MS2050$380K
inflow1617Other flows - Northeast, DS
inflow1617Foreign - Other flows, FR
inflow1617Other flows - West, DS
inflow1617Other flows - Midwest, DS
outflow1617Other flows - West, DS
outflow1617DeSoto County, MS160373$5.1M
inflow1617DeSoto County, MS68143$1.8M
outflow1617Other flows - South, DS64119$1.8M
outflow1617Shelby County, TN51110$1.5M
inflow1617Shelby County, TN4994$1.2M
inflow1617Other flows - South, DS4679$1.6M
inflow1617Coahoma County, MS4195$1.0M
outflow1617Coahoma County, MS2569$478K
inflow1617Tate County, MS2250$452K
outflow1617Quitman County, MS2150$394K
outflow1617Other flows - Midwest, DS2053$499K
outflow1617Tate County, MS2042$815K
outflow1516Other flows - Northeast, DS
inflow1516Other flows - West, DS
outflow1516Other flows - West, DS
outflow1516DeSoto County, MS130320$3.7M
outflow1516Other flows - South, DS75139$1.9M
inflow1516DeSoto County, MS73148$2.1M
outflow1516Shelby County, TN54121$1.1M
inflow1516Other flows - South, DS52105$1.8M
inflow1516Shelby County, TN4898$941K
inflow1516Coahoma County, MS3999$776K
outflow1516Coahoma County, MS2862$661K
outflow1516Other flows - Midwest, DS2241$879K
inflow1516Other flows - Midwest, DS2144$774K
inflow1415Other flows - West, DS
outflow1415Other flows - Northeast, DS
outflow1415Other flows - West, DS
outflow1415Foreign - Other flows, FR
inflow1415Other flows - Midwest, DS
outflow1415DeSoto County, MS100225$3.0M
inflow1415DeSoto County, MS66146$1.7M
outflow1415Other flows - South, DS59120$1.4M
outflow1415Shelby County, TN53126$1.2M
inflow1415Shelby County, TN4490$997K
inflow1415Other flows - South, DS3781$1.2M
inflow1415Coahoma County, MS3683$892K
outflow1415Coahoma County, MS3169$676K
outflow1415Other flows - Midwest, DS2448$802K
outflow1314Foreign - Other flows, FR
inflow1314Foreign - Other flows, FR
inflow1314Other flows - West, DS
outflow1314Other flows - Midwest, DS
inflow1314Other flows - Northeast, DS
outflow1314Other flows - West, DS
outflow1314DeSoto County, MS130284$3.4M
inflow1314DeSoto County, MS84187$2.4M
outflow1314Shelby County, TN74160$1.4M
outflow1314Other flows - South, DS57112$1.7M
inflow1314Coahoma County, MS55118$1.1M
inflow1314Other flows - South, DS5299$1.3M
inflow1314Shelby County, TN49103$1.0M
outflow1314Coahoma County, MS3067$590K
inflow1314Tate County, MS2567$596K
inflow1314Other flows - Midwest, DS2343$890K
inflow1213Foreign - Other flows, FR
outflow1213Other flows - Northeast, DS
outflow1213Foreign - Other flows, FR
inflow1213Other flows - Northeast, DS
inflow1213Other flows - West, DS
outflow1213DeSoto County, MS130294$4.1M
outflow1213Other flows - South, DS95177$3.1M
inflow1213Shelby County, TN73173$1.4M
outflow1213Shelby County, TN67151$1.5M
inflow1213DeSoto County, MS64128$1.8M
inflow1213Coahoma County, MS4097$767K
inflow1213Other flows - South, DS4078$1.0M
outflow1213Coahoma County, MS3276$595K
outflow1213Other flows - Midwest, DS2859$709K
outflow1213Quitman County, MS2762$456K
inflow1213Other flows - Midwest, DS2451$563K
outflow1213Tate County, MS2255$795K
inflow1213Panola County, MS1744$263K
inflow1213Tate County, MS1640$421K
outflow1213Panola County, MS1536$394K
inflow1213Quitman County, MS1434$272K
inflow1213Bolivar County, MS1333$265K
outflow1213Other flows - West, DS1218$333K
inflow1213Phillips County, AR1124$312K
outflow1112Other flows - Northeast, DS
inflow1112Foreign - Other flows, FR
inflow1112Other flows - West, DS
inflow1112Other flows - Northeast, DS
outflow1112Foreign - Other flows, FR
outflow1112Other flows - West, DS
outflow1112DeSoto County, MS114252$3.0M
inflow1112DeSoto County, MS78167$1.9M
outflow1112Shelby County, TN70155$1.5M
inflow1112Shelby County, TN68132$1.1M
outflow1112Other flows - South, DS63110$2.0M
inflow1112Other flows - South, DS62114$1.6M
inflow1112Coahoma County, MS54134$1.1M
outflow1112Other flows - Midwest, DS3972$776K
outflow1112Coahoma County, MS3070$433K
outflow1112Quitman County, MS2863$571K
inflow1112Other flows - Midwest, DS2555$637K
inflow1112Tate County, MS2449$701K
inflow1112Quitman County, MS2357$403K
outflow1112Tate County, MS2262$596K
outflow1112Panola County, MS2154$415K
inflow1112Panola County, MS1329$341K
inflow1112Phillips County, AR1129$205K
outflow1112Phillips County, AR1125$172K

UAD APPRAISALS

FHFA Uniform Appraisal Dataset aggregates for Tunica County.

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

2023RefinanceNo CharacteristicAll Appraisals
2023BothNo CharacteristicAll Appraisals205,000.0
2023PurchaseNo CharacteristicAll Appraisals
2023PurchaseNo CharacteristicAll Appraisals
2023PurchaseNo CharacteristicAll Appraisals
2023PurchaseNo CharacteristicAll Appraisals
2023PurchaseNo CharacteristicAll Appraisals
2023RefinanceNo CharacteristicAll Appraisals
2023BothNo CharacteristicAll Appraisals15.0
2023PurchaseNo CharacteristicAll Appraisals
2023PurchaseNo CharacteristicAll Appraisals
2022PurchaseNo CharacteristicAll Appraisals196,000.0
2022PurchaseNo CharacteristicAll Appraisals0.1
2022RefinanceNo CharacteristicAll Appraisals21.0
2022PurchaseNo CharacteristicAll Appraisals0.9
2022BothNo CharacteristicAll Appraisals36.0
2022PurchaseNo CharacteristicAll Appraisals1.0
2022BothNo CharacteristicAll Appraisals192,500.0
2022PurchaseNo CharacteristicAll Appraisals1.1
2022PurchaseNo CharacteristicAll Appraisals0.1
2022RefinanceNo CharacteristicAll Appraisals189,000.0
2022PurchaseNo CharacteristicAll Appraisals15.0
2021BothNo CharacteristicAll Appraisals53.0
2021PurchaseNo CharacteristicAll Appraisals0.6
2021PurchaseNo CharacteristicAll Appraisals21.0
2021PurchaseNo CharacteristicAll Appraisals1.0
2021PurchaseNo CharacteristicAll Appraisals1.0
2021RefinanceNo CharacteristicAll Appraisals32.0
2021BothNo CharacteristicAll Appraisals175,000.0
2021PurchaseNo CharacteristicAll Appraisals0.2
2021PurchaseNo CharacteristicAll Appraisals170,000.0
2021PurchaseNo CharacteristicAll Appraisals0.2
2021RefinanceNo CharacteristicAll Appraisals184,000.0
2020PurchaseNo CharacteristicAll Appraisals0.4
2020RefinanceNo CharacteristicAll Appraisals159,000.0
2020BothNo CharacteristicAll Appraisals51.0
2020PurchaseNo CharacteristicAll Appraisals1.0
2020PurchaseNo CharacteristicAll Appraisals31.0
2020PurchaseNo CharacteristicAll Appraisals164,000.0
2020BothNo CharacteristicAll Appraisals164,000.0
2020RefinanceNo CharacteristicAll Appraisals20.0
2020PurchaseNo CharacteristicAll Appraisals0.1
2020PurchaseNo CharacteristicAll Appraisals1.0
2020PurchaseNo CharacteristicAll Appraisals0.6
2019PurchaseNo CharacteristicAll Appraisals0.9
2019PurchaseNo CharacteristicAll Appraisals23.0
2019BothNo CharacteristicAll Appraisals150,500.0
2019PurchaseNo CharacteristicAll Appraisals1.1
2019PurchaseNo CharacteristicAll Appraisals0.2
2019PurchaseNo CharacteristicAll Appraisals150,000.0
2019BothNo CharacteristicAll Appraisals38.0
2019PurchaseNo CharacteristicAll Appraisals0.8
2019PurchaseNo CharacteristicAll Appraisals0.0
2019RefinanceNo CharacteristicAll Appraisals172,000.0
2019RefinanceNo CharacteristicAll Appraisals15.0
2018BothNo CharacteristicAll Appraisals158,000.0
2018RefinanceNo CharacteristicAll Appraisals19.0
2018PurchaseNo CharacteristicAll Appraisals1.1
2018RefinanceNo CharacteristicAll Appraisals160,000.0
2018PurchaseNo CharacteristicAll Appraisals14.0
2018PurchaseNo CharacteristicAll Appraisals1.0
2018PurchaseNo CharacteristicAll Appraisals0.0
2018PurchaseNo CharacteristicAll Appraisals149,300.0
2018BothNo CharacteristicAll Appraisals33.0
2018PurchaseNo CharacteristicAll Appraisals0.0
2018PurchaseNo CharacteristicAll Appraisals1.0
2017RefinanceNo CharacteristicAll Appraisals
2017BothNo CharacteristicAll Appraisals17.0
2017PurchaseNo CharacteristicAll Appraisals
2017RefinanceNo CharacteristicAll Appraisals
2017BothNo CharacteristicAll Appraisals145,000.0
2017PurchaseNo CharacteristicAll Appraisals
2017PurchaseNo CharacteristicAll Appraisals
2017PurchaseNo CharacteristicAll Appraisals
2017PurchaseNo CharacteristicAll Appraisals
2017PurchaseNo CharacteristicAll Appraisals
2017PurchaseNo CharacteristicAll Appraisals
2016RefinanceNo CharacteristicAll Appraisals
2016PurchaseNo CharacteristicAll Appraisals
2016RefinanceNo CharacteristicAll Appraisals
2016PurchaseNo CharacteristicAll Appraisals
2016BothNo CharacteristicAll Appraisals162,000.0
2016PurchaseNo CharacteristicAll Appraisals
2016PurchaseNo CharacteristicAll Appraisals
2016PurchaseNo CharacteristicAll Appraisals
2016PurchaseNo CharacteristicAll Appraisals
2016PurchaseNo CharacteristicAll Appraisals
2016BothNo CharacteristicAll Appraisals27.0
2015PurchaseNo CharacteristicAll Appraisals
2015PurchaseNo CharacteristicAll Appraisals
2015RefinanceNo CharacteristicAll Appraisals
2015PurchaseNo CharacteristicAll Appraisals
2015PurchaseNo CharacteristicAll Appraisals
2015BothNo CharacteristicAll Appraisals
2015BothNo CharacteristicAll Appraisals
2015RefinanceNo CharacteristicAll Appraisals
2015PurchaseNo CharacteristicAll Appraisals
2015PurchaseNo CharacteristicAll Appraisals
2015PurchaseNo CharacteristicAll Appraisals
2014BothNo CharacteristicAll Appraisals11.0

ECONOMY & INCOME

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

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

BLS Local Area Unemployment

2026-053,7283,5291995.3%
2026-043,7113,5261855.0%
2026-033,7713,5741975.2%
2026-023,7513,5402115.6%
2026-013,7443,5501945.2%
2025-123,7573,5961614.3%
2025-113,7483,5741744.6%
2025-093,7803,6041764.7%
2025-083,7623,5821804.8%
2025-073,8243,6172075.4%
2025-063,8053,5842215.8%
2025-053,7713,5672045.4%
2025-043,7843,5822025.3%
2025-033,7973,5981995.2%
2025-023,7793,5572225.9%
2025-013,8043,6002045.4%
2024-123,8023,6251774.7%
2024-113,7743,5941804.8%
2024-103,7693,5991704.5%
2024-093,7483,5841644.4%
2024-083,7623,5851774.7%
2024-073,8753,6841914.9%
2024-063,8193,6301894.9%
2024-053,7073,5781293.5%
2024-043,6773,590872.4%
2024-033,6843,5771072.9%
2024-023,6693,5451243.4%
2024-013,6833,5481353.7%
2023-123,7473,6351123.0%
2023-113,7293,6261032.8%
2023-103,7123,5991133.0%
2023-093,7053,5831223.3%
2023-083,7173,5661514.1%
2023-073,8343,6791554.0%
2023-063,8353,6591764.6%
2023-053,7673,6311363.6%
2023-043,7883,6561323.5%
2023-033,7833,6421413.7%
2023-023,7763,6211554.1%
2023-013,7923,6171754.6%
2022-123,8293,6841453.8%
2022-113,7933,6421514.0%
2022-103,7793,6271524.0%
2022-093,8003,6361644.3%
2022-083,8433,6631804.7%
2022-073,9993,7842155.4%
2022-064,0223,7912315.7%
2022-053,9863,8141724.3%
2022-043,9393,7791604.1%
2022-033,9173,7461714.4%
2022-023,9023,6982045.2%
2022-013,9003,6492516.4%
2021-123,9683,7612075.2%
2021-113,9373,7282095.3%
2021-103,8973,6632346.0%
2021-093,9153,6452706.9%
2021-084,0173,6823358.3%
2021-074,1263,7423849.3%
2021-064,2003,75644410.6%
2021-054,2133,78742610.1%
2021-044,1453,7513949.5%
2021-034,1093,67043910.7%
2021-024,1253,65147411.5%
2021-014,1053,59850712.4%
2020-124,1693,70746211.1%
2020-114,1323,65148111.6%
2020-104,1353,59853713.0%
2020-094,2063,55964715.4%
2020-084,1763,55761914.8%
2020-074,2843,52675817.7%
2020-064,4733,61086319.3%
2020-054,7593,5301,22925.8%
2020-044,8113,4011,41029.3%
2020-034,1653,74941610.0%
2020-023,9833,7202636.6%
2020-013,9723,6752977.5%
2019-124,1093,8452646.4%
2019-114,0823,8412415.9%
2019-104,0543,8132415.9%
2019-094,0893,8252646.5%
2019-084,1573,8563017.2%
2019-074,2333,8953388.0%
2019-064,2343,8943408.0%
2019-054,1233,8712526.1%
2019-044,1053,8782275.5%
2019-034,1223,8342887.0%
2019-024,0573,7563017.4%
2019-014,0393,7253147.8%
2018-124,1573,8972606.3%
2018-114,1493,9452044.9%
2018-104,1113,9092024.9%
2018-094,1113,8982135.2%
2018-084,1293,8992305.6%
2018-074,2403,9722686.3%
2018-064,2313,9322997.1%
2018-054,1293,9152145.2%
2018-044,1173,9032145.2%
2018-034,1633,9122516.0%
2018-024,1703,8643067.3%
2018-014,0993,7993007.3%

BEA Personal Income

2024$433.2M9,157$47K
2023$446.8M9,380$48K
2022$433.4M9,461$46K
2021$420.1M9,644$44K
2020$378.5M9,734$39K
2019$332.9M9,934$34K
2018$317.1M10,213$31K
2017$319.9M10,249$31K
2016$320.5M10,363$31K
2015$300.5M10,452$29K
2014$318.3M10,649$30K
2013$341.4M10,571$32K
2012$307.0M10,519$29K
2011$306.9M10,634$29K
2010$290.3M10,772$27K
2009$293.3M10,862$27K
2008$299.1M10,910$27K
2007$283.8M10,853$26K
2006$258.1M10,723$24K
2005$249.8M10,425$24K
2004$238.4M10,221$23K
2003$209.7M10,142$21K
2002$175.7M9,823$18K
2001$203.7M9,416$22K
2000$158.7M9,242$17K
1999$157.6M9,091$17K
1998$152.4M9,060$17K
1997$158.8M8,939$18K
1996$163.6M8,776$19K
1995$135.5M8,661$16K
1994$127.4M8,736$15K
1993$111.0M8,463$13K
1992$100.3M8,268$12K
1991$11K

NFIP FLOOD CLAIMS

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

FEMA NFIP redacted claims (nfip_claim, county_code)

2019-02-14$0Yes
2017-11-21$0Yes
2017-05-19$48K$45K$3KYes
2016-03-10$0Yes
2016-03-09$46K$31K$15KYes
2016-01-08$0No
2016-01-04$0Yes
2015-12-31$0No
2011-09-30$0Yes
2011-08-01$0No
2011-08-01$0No
2011-08-01$0No
2011-06-28$0No
2011-06-09$164K$112K$22KNo
2011-05-27$0$5K$0Yes
2011-05-25$0No
2011-05-17$25K$20K$5KYes
2011-05-16$49K$20K$0Yes
2011-05-11$63K$63K$0Yes
2011-05-11$349K$315K$35KNo
2011-05-11$48K$18K$0Yes
2011-05-09$47K$47K$0Yes
2011-05-08$0No
2011-05-08$58K$28K$0Yes
2011-05-07$80K$50K$0Yes
2011-05-07$13K$13K$0Yes
2011-05-05$7K$7K$0No
2011-05-05$28K$25K$0No
2011-05-05$6K$4K$0No
2011-05-05$4K$4K$0No
2011-05-05$50K$50K$0Yes
2011-05-04$12K$12K$0Yes
2011-05-04$24K$24K$0Yes
2011-05-03$67K$67K$0Yes
2011-05-03$82K$47K$5KNo
2011-05-03$106K$91K$11KYes
2011-05-03$45K$13K$3KYes
2011-05-03$0Yes
2011-05-03$67K$60K$0Yes
2011-05-03$65K$35K$0No
2011-05-03$32K$32K$0No
2011-05-02$31K$22K$6KNo
2011-05-02$47K$40K$0Yes
2011-05-02$91K$77K$11KNo
2011-05-01$52K$50K$2KYes
2011-05-01$58K$23K$5KNo
2011-05-01$5K$5K$0No
2011-04-30$30K$25K$4KNo
2011-04-30$500K$500K$0No
2011-04-29$2K$1K$1KNo
2011-04-29$20K$20K$0Yes
2011-04-29$2K$1K$1KNo
2011-04-29$70K$40K$0Yes
2011-04-29$1K$1K$0No
2011-04-29$2K$1K$1KNo
2011-04-29$2K$1K$1KNo
2011-04-29$40K$40K$0Yes
2011-04-29$2K$1K$1KNo
2011-04-29$70K$40K$0No
2011-04-29$2K$1K$1KNo
2011-04-29$2K$1K$1KNo
2011-04-29$2K$1K$1KNo
2011-04-29$1K$1K$0No
2011-04-29$64K$50K$8KYes
2011-04-28$60K$45K$0Yes
2011-04-27$0Yes
2011-04-27$110K$80K$0Yes
2011-04-27$0$7K$5KYes
2011-04-27$30K$30K$0Yes
2011-04-26$63K$42K$21KYes
2011-04-26$21K$16K$6KYes
2011-04-26$102K$68K$34KYes
2011-04-25$16K$13K$0Yes
2009-05-27$0No
2008-04-24$1K$1K$0Yes
2008-04-24$16K$16K$0Yes
2008-04-19$3K$3K$0No
2008-04-19$11K$9K$2KNo
2008-04-18$2K$2K$0Yes
2008-04-18$16K$16K$0No
2008-04-16$15K$15K$0Yes
2008-04-11$2K$2K$0No
2008-04-11$25K$25K$0No
2008-04-07$0Yes
2008-04-03$2K$2K$0Yes
2008-04-01$8K$8K$0No
2008-04-01$18K$18K$0Yes
2008-03-29$28K$22K$6KYes
2008-03-28$2K$2K$0Yes
2008-03-24$18K$10K$8KYes
2008-03-20$17K$17K$642.64Yes
2005-01-22$0No
2005-01-12$822.43$622.43$200Yes
2003-05-15$2K$2K$0No
2002-06-07$0Yes
2002-06-06$0No
2002-05-31$9K$9K$0Yes
2002-05-27$0Yes
2002-05-26$7K$7K$65Yes
2002-05-25$12K$11K$356.07Yes

ALSO CHECKED

18 more data areas were checked for Tunica 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 TUNICA COUNTYOpens the loan explorer already filtered to county FIPS 28143.

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.