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State markets/Montana/Deer Lodge County

COUNTY MORTGAGE MARKET · FIPS 30023

Deer Lodge County, Montana

Who lends in Deer Lodge 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

$44.1M

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

Originations · 2025

211

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

Denial rate · 2025

13.9%

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

Lenders active · 2025

73

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 73 lenders that originated in Deer Lodge County in 2025. HHI is the Herfindahl-Hirschman index over lender shares.

Concentration (HHI)

752

unconcentrated

Top-5 lender share

51.4%

of originations

Purchase

56.2%

100 loans

Refinance

43.8%

78 loans

Origination trend

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

Lenders in Deer Lodge 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 Deer Lodge 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 DEER LODGE COUNTY

TOP TEN LENDERS IN DEER LODGE 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.

40$8.9M$8.9M originated in Deer Lodge County, 2025Share needs a county-wide denominator, which the narrower fallback source does not carry.
24$4.3M$4.3M originated in Deer Lodge County, 2025Share needs a county-wide denominator, which the narrower fallback source does not carry.
16$3.9M$3.9M originated in Deer Lodge County, 2025Share needs a county-wide denominator, which the narrower fallback source does not carry.
19$3.4M$3.4M originated in Deer Lodge County, 2025Share needs a county-wide denominator, which the narrower fallback source does not carry.
8$2.1M$2.1M originated in Deer Lodge County, 2025Share needs a county-wide denominator, which the narrower fallback source does not carry.
7$1.8M$1.8M originated in Deer Lodge County, 2025Share needs a county-wide denominator, which the narrower fallback source does not carry.
6$1.4M$1.4M originated in Deer Lodge County, 2025Share needs a county-wide denominator, which the narrower fallback source does not carry.
2$1.3M$1.3M originated in Deer Lodge County, 2025Share needs a county-wide denominator, which the narrower fallback source does not carry.
6$1.1M$1.1M originated in Deer Lodge County, 2025Share needs a county-wide denominator, which the narrower fallback source does not carry.
3$1.0M$1.0M originated in Deer Lodge 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 Deer Lodge County

All 5 ZIP Code Tabulation Areas that touch Deer Lodge 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 3 Deer Lodge County tracts this ZIP area touches sit mostly inside it.6,4279.1%1,834TRACTS →HMDA reports no ZIP. This opens the ZIP area's tract list, where each tract's records open exactly.
11 of the 1 Deer Lodge County tract this ZIP area touches sit mostly inside it.2,99410.8%894OPEN →This ZIP area is one census tract here, so its records open directly and exactly.
0This ZIP area clips 1 tract of Deer Lodge 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 Deer Lodge 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 Deer Lodge 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.

3 of Deer Lodge County’s 4 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 Deer Lodge County

All 4 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.

4 OF 4 TRACTSEVERY TRACT IN THE COUNTY — NO ROWS WITHHELD
TRACTINCOME LEVEL% OF MSA INCOMEPOPULATIONMINORITY %TOP LENDERRECORDS
Moderate67.1%3,02210.1%OPEN →
Moderate76.9%3,4058.3%OPEN →
Middle114.0%2,99410.8%OPEN →
Moderate79.1%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

9,597

Median household income

$57,527

Median home value

$231,700

Median gross rent

$696

per month

Owner-occupied

73.0%

of occupied units

Housing units

5,540

19.3% vacant

Poverty rate

16.3%

Unemployment

3.4%

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 17.6

Social vulnerability

Relatively Moderate

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

61

Declarations recorded

10

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

Everything we hold on Deer Lodge 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 Deer Lodge County.

HMDA loan-level (hmda_loan_wide, county_code)

Open the loan explorer for Deer Lodge CountyEvery reported application and origination in FIPS 30023, filterable on rate, amount, income, purpose and action taken. Loan-level tier.

VA

VA-guaranteed lending in Deer Lodge 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

16

Purchase share

31.3%

5 loans

IRRRL refinances

8

Cash-out refinances

3

202616583
2025181008
202411416
202310406
202210218
20214015187
2020348242
2019211704
2018221129
2017251357
2016211137
201518864

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 Deer Lodge 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

Deer Lodge 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

22

+10.0% vs 2024

Multifamily · 2025

0

Total authorized · 2025

22

+10.0% vs 2024

Permit valuation · 2025

$6.4M

authorized construction value

Units authorized by year

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

UNITS · SF IN TOOLTIP
0255075100199019921994199619982000200220042006200820102012201420162018202020222024202522 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 Deer Lodge County, showing population movement and wealth transfer.

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

inflow2223Other flows - Northeast, DS
inflow2223Foreign - Other flows, FR
outflow2223Other flows - Northeast, DS
outflow2223Other flows - Midwest, DS
outflow2223Foreign - Other flows, FR
inflow2223Other flows - Midwest, DS
inflow2223Other flows - West, DS102167$7.7M
outflow2223Other flows - West, DS68102$3.1M
outflow2223Silver Bow County, MT67122$3.3M
inflow2223Silver Bow County, MT60104$3.4M
inflow2223Gallatin County, MT2331$981K
inflow2223Other flows - South, DS2239$2.2M
outflow2223Other flows - South, DS2034$613K
outflow2223Missoula County, MT2029$1.2M
inflow2122Other flows - Northeast, DS
outflow2122Other flows - Northeast, DS
outflow2122Other flows - Midwest, DS
inflow2122Other flows - Midwest, DS
inflow2122Other flows - West, DS96160$7.1M
outflow2122Silver Bow County, MT69136$3.1M
outflow2122Other flows - West, DS6496$4.9M
inflow2122Silver Bow County, MT58108$3.8M
inflow2122Other flows - South, DS2540$1.6M
outflow2122Other flows - South, DS2242$1.4M
outflow2122Powell County, MT2230$1.6M
inflow2122Missoula County, MT2132$1.2M
outflow2021Foreign - Other flows, FR
outflow2021Other flows - Northeast, DS
outflow2021Other flows - Midwest, DS
inflow2021Other flows - Northeast, DS
inflow2021Other flows - Midwest, DS
inflow2021Other flows - South, DS
inflow2021Other flows - West, DS103193$6.2M
outflow2021Other flows - West, DS6495$2.3M
outflow2021Silver Bow County, MT61114$2.5M
inflow2021Silver Bow County, MT5792$3.0M
outflow2021Other flows - South, DS2238$1.9M
inflow2021Missoula County, MT2133$786K
inflow2021Powell County, MT2037$921K
inflow2021Gallatin County, MT2031$1.2M
outflow1920Foreign - Other flows, FR
inflow1920Other flows - South, DS
inflow1920Other flows - Midwest, DS
outflow1920Other flows - Midwest, DS
outflow1920Other flows - South, DS
inflow1920Other flows - Northeast, DS
inflow1920Other flows - West, DS89164$5.3M
outflow1920Other flows - West, DS67114$2.8M
inflow1920Silver Bow County, MT5192$2.2M
outflow1920Silver Bow County, MT5192$2.1M
outflow1920Missoula County, MT2330$540K
outflow1920Powell County, MT2142$558K
outflow1819Foreign - Other flows, FR
outflow1819Other flows - Northeast, DS
outflow1819Other flows - Midwest, DS
outflow1819Other flows - South, DS
inflow1819Other flows - Northeast, DS
inflow1819Other flows - Midwest, DS
inflow1819Other flows - South, DS
inflow1819Other flows - West, DS67139$3.8M
outflow1819Other flows - West, DS63106$3.3M
inflow1819Silver Bow County, MT5790$2.1M
outflow1819Silver Bow County, MT51113$1.8M
inflow1718Foreign - Other flows, FR
inflow1718Other flows - Northeast, DS
outflow1718Other flows - Midwest, DS
outflow1718Other flows - South, DS
inflow1718Other flows - West, DS79128$2.6M
outflow1718Other flows - West, DS72143$2.8M
inflow1718Silver Bow County, MT5696$2.4M
outflow1718Silver Bow County, MT4784$2.0M
inflow1718Other flows - South, DS2847$1.6M
inflow1718Other flows - Midwest, DS2550$1.5M
inflow1718Missoula County, MT2131$919K
outflow1718Gallatin County, MT2138$1.0M
outflow1617Other flows - South, DS
outflow1617Foreign - Other flows, FR
outflow1617Other flows - Northeast, DS
outflow1617Other flows - Midwest, DS
inflow1617Other flows - West, DS100188$4.8M
outflow1617Other flows - West, DS72116$2.7M
inflow1617Silver Bow County, MT69145$3.0M
outflow1617Silver Bow County, MT67126$2.4M
inflow1617Other flows - South, DS2549$1.1M
outflow1617Missoula County, MT2439$884K
outflow1617Powell County, MT2236$653K
inflow1617Missoula County, MT2141$607K
inflow1617Other flows - Midwest, DS2134$1.1M
inflow1516Other flows - Northeast, DS
inflow1516Foreign - Other flows, FR
outflow1516Other flows - Northeast, DS
outflow1516Other flows - Midwest, DS
outflow1516Other flows - South, DS
inflow1516Other flows - Midwest, DS
outflow1516Foreign - Other flows, FR
inflow1516Other flows - South, DS
inflow1516Other flows - West, DS75133$3.8M
outflow1516Other flows - West, DS5291$2.0M
inflow1516Silver Bow County, MT4984$1.5M
outflow1516Silver Bow County, MT4365$1.5M
outflow1516Missoula County, MT2037$768K
outflow1415Other flows - South, DS
inflow1415Foreign - Other flows, FR
outflow1415Other flows - Northeast, DS
outflow1415Other flows - Midwest, DS
inflow1415Other flows - Northeast, DS
inflow1415Other flows - Midwest, DS
inflow1415Other flows - South, DS
outflow1415Other flows - West, DS5282$2.3M
inflow1415Other flows - West, DS4171$1.6M
outflow1415Silver Bow County, MT3768$1.7M
inflow1415Silver Bow County, MT2544$883K
inflow1314Other flows - Midwest, DS
outflow1314Other flows - Northeast, DS
outflow1314Other flows - Midwest, DS
outflow1314Other flows - South, DS
inflow1314Other flows - South, DS
inflow1314Other flows - Northeast, DS
outflow1314Other flows - West, DS6196$1.5M
outflow1314Silver Bow County, MT57112$1.8M
inflow1314Other flows - West, DS51101$2.9M
inflow1314Silver Bow County, MT4169$1.7M
inflow1314Missoula County, MT2023$457K
outflow1213Foreign - Other flows, FR
outflow1213Other flows - Northeast, DS
inflow1213Other flows - Northeast, DS
inflow1213Foreign - Other flows, FR
inflow1213Other flows - West, DS67117$2.8M
outflow1213Other flows - West, DS62131$2.0M
inflow1213Silver Bow County, MT54110$1.4M
outflow1213Silver Bow County, MT4396$1.5M
outflow1213Missoula County, MT2136$566K
inflow1213Powell County, MT1939$625K
inflow1213Missoula County, MT1934$890K
inflow1213Other flows - South, DS1937$902K
inflow1213Other flows - Midwest, DS1722$745K
outflow1213Powell County, MT1537$571K
outflow1213Other flows - South, DS1427$379K
outflow1213Other flows - Midwest, DS1432$635K
inflow1213Gallatin County, MT1320$720K
inflow1213Granite County, MT1119$336K
inflow1112Other flows - Northeast, DS
inflow1112Foreign - Other flows, FR
outflow1112Other flows - Northeast, DS
outflow1112Foreign - Other flows, FR
outflow1112Other flows - West, DS77131$2.2M
inflow1112Other flows - West, DS66130$2.2M
outflow1112Silver Bow County, MT48105$1.6M
inflow1112Silver Bow County, MT3373$899K
outflow1112Missoula County, MT2641$720K
outflow1112Other flows - South, DS2535$3.9M
inflow1112Other flows - South, DS2443$1.0M
outflow1112Other flows - Midwest, DS1524$465K
inflow1112Missoula County, MT1422$509K
inflow1112Granite County, MT1422$586K
inflow1112Beaverhead County, MT1320$522K
outflow1112Powell County, MT1219$240K
inflow1112Powell County, MT1222$423K
inflow1112Other flows - Midwest, DS1020$462K

UAD APPRAISALS

FHFA Uniform Appraisal Dataset aggregates for Deer Lodge County.

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

2023PurchaseNo CharacteristicAll Appraisals60.0
2023PurchaseNo CharacteristicAll Appraisals0.2
2023RefinanceNo CharacteristicAll Appraisals32.0
2023PurchaseNo CharacteristicAll Appraisals1.0
2023BothNo CharacteristicAll Appraisals92.0
2023PurchaseNo CharacteristicAll Appraisals0.7
2023PurchaseNo CharacteristicAll Appraisals1.0
2023RefinanceNo CharacteristicAll Appraisals272,500.0
2023BothNo CharacteristicAll Appraisals270,000.0
2023PurchaseNo CharacteristicAll Appraisals267,000.0
2023PurchaseNo CharacteristicAll Appraisals0.1
2022PurchaseNo CharacteristicAll Appraisals1.0
2022BothNo CharacteristicAll Appraisals270,000.0
2022PurchaseNo CharacteristicAll Appraisals0.3
2022PurchaseNo CharacteristicAll Appraisals240,000.0
2022PurchaseNo CharacteristicAll Appraisals1.0
2022RefinanceNo CharacteristicAll Appraisals63.0
2022PurchaseNo CharacteristicAll Appraisals0.0
2022PurchaseNo CharacteristicAll Appraisals0.7
2022RefinanceNo CharacteristicAll Appraisals285,000.0
2022BothNo CharacteristicAll Appraisals142.0
2022PurchaseNo CharacteristicAll Appraisals79.0
2021PurchaseNo CharacteristicAll Appraisals1.0
2021RefinanceNo CharacteristicAll Appraisals244,500.0
2021BothNo CharacteristicAll Appraisals211.0
2021PurchaseNo CharacteristicAll Appraisals1.0
2021PurchaseNo CharacteristicAll Appraisals111.0
2021PurchaseNo CharacteristicAll Appraisals0.3
2021RefinanceNo CharacteristicAll Appraisals100.0
2021PurchaseNo CharacteristicAll Appraisals0.1
2021BothNo CharacteristicAll Appraisals220,000.0
2021PurchaseNo CharacteristicAll Appraisals0.7
2021PurchaseNo CharacteristicAll Appraisals200,000.0
2020PurchaseNo CharacteristicAll Appraisals0.1
2020PurchaseNo CharacteristicAll Appraisals1.0
2020BothNo CharacteristicAll Appraisals164.0
2020PurchaseNo CharacteristicAll Appraisals95.0
2020PurchaseNo CharacteristicAll Appraisals0.7
2020BothNo CharacteristicAll Appraisals185,000.0
2020RefinanceNo CharacteristicAll Appraisals225,000.0
2020RefinanceNo CharacteristicAll Appraisals69.0
2020PurchaseNo CharacteristicAll Appraisals170,000.0
2020PurchaseNo CharacteristicAll Appraisals1.0
2020PurchaseNo CharacteristicAll Appraisals0.2
2019PurchaseNo CharacteristicAll Appraisals0.0
2019PurchaseNo CharacteristicAll Appraisals1.0
2019BothNo CharacteristicAll Appraisals170,000.0
2019PurchaseNo CharacteristicAll Appraisals69.0
2019PurchaseNo CharacteristicAll Appraisals0.3
2019PurchaseNo CharacteristicAll Appraisals1.0
2019RefinanceNo CharacteristicAll Appraisals155,500.0
2019BothNo CharacteristicAll Appraisals127.0
2019RefinanceNo CharacteristicAll Appraisals58.0
2019PurchaseNo CharacteristicAll Appraisals180,000.0
2019PurchaseNo CharacteristicAll Appraisals0.7
2018RefinanceNo CharacteristicAll Appraisals142,000.0
2018BothNo CharacteristicAll Appraisals105.0
2018PurchaseNo CharacteristicAll Appraisals75.0
2018RefinanceNo CharacteristicAll Appraisals30.0
2018BothNo CharacteristicAll Appraisals135,000.0
2018PurchaseNo CharacteristicAll Appraisals122,000.0
2018PurchaseNo CharacteristicAll Appraisals0.7
2018PurchaseNo CharacteristicAll Appraisals0.0
2018PurchaseNo CharacteristicAll Appraisals0.3
2018PurchaseNo CharacteristicAll Appraisals1.0
2018PurchaseNo CharacteristicAll Appraisals1.0
2017RefinanceNo CharacteristicAll Appraisals145,000.0
2017PurchaseNo CharacteristicAll Appraisals1.0
2017PurchaseNo CharacteristicAll Appraisals1.0
2017PurchaseNo CharacteristicAll Appraisals0.3
2017PurchaseNo CharacteristicAll Appraisals0.1
2017BothNo CharacteristicAll Appraisals117.0
2017PurchaseNo CharacteristicAll Appraisals60.0
2017PurchaseNo CharacteristicAll Appraisals133,300.0
2017RefinanceNo CharacteristicAll Appraisals57.0
2017PurchaseNo CharacteristicAll Appraisals0.7
2017BothNo CharacteristicAll Appraisals136,500.0
2016PurchaseNo CharacteristicAll Appraisals55.0
2016RefinanceNo CharacteristicAll Appraisals156,500.0
2016PurchaseNo CharacteristicAll Appraisals1.0
2016PurchaseNo CharacteristicAll Appraisals118,000.0
2016PurchaseNo CharacteristicAll Appraisals0.7
2016PurchaseNo CharacteristicAll Appraisals0.0
2016BothNo CharacteristicAll Appraisals135,000.0
2016PurchaseNo CharacteristicAll Appraisals1.0
2016PurchaseNo CharacteristicAll Appraisals0.2
2016BothNo CharacteristicAll Appraisals115.0
2016RefinanceNo CharacteristicAll Appraisals60.0
2015PurchaseNo CharacteristicAll Appraisals1.0
2015PurchaseNo CharacteristicAll Appraisals115,000.0
2015PurchaseNo CharacteristicAll Appraisals0.4
2015RefinanceNo CharacteristicAll Appraisals172,500.0
2015BothNo CharacteristicAll Appraisals108.0
2015RefinanceNo CharacteristicAll Appraisals66.0
2015PurchaseNo CharacteristicAll Appraisals0.2
2015PurchaseNo CharacteristicAll Appraisals0.5
2015PurchaseNo CharacteristicAll Appraisals42.0
2015BothNo CharacteristicAll Appraisals145,000.0
2015PurchaseNo CharacteristicAll Appraisals1.0
2014BothNo CharacteristicAll Appraisals140,000.0

ECONOMY & INCOME

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

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

BLS Local Area Unemployment

2026-054,4704,3131573.5%
2026-044,4824,3291533.4%
2026-034,4664,2751914.3%
2026-024,4684,2632054.6%
2026-014,4584,2022565.7%
2025-124,4074,1822255.1%
2025-114,4184,2191994.5%
2025-094,3914,2361553.5%
2025-084,4404,2651753.9%
2025-074,4944,3471473.3%
2025-064,4304,2651653.7%
2025-054,4334,2741593.6%
2025-044,4634,3001633.7%
2025-034,4584,2801784.0%
2025-024,4624,2691934.3%
2025-014,4494,2711784.0%
2024-124,4164,2631533.5%
2024-114,4754,3411343.0%
2024-104,4494,3211282.9%
2024-094,4604,3321282.9%
2024-084,5284,3861423.1%
2024-074,5744,4311433.1%
2024-064,4984,3451533.4%
2024-054,4754,3311443.2%
2024-044,4844,3521322.9%
2024-034,4944,3251693.8%
2024-024,4664,2751914.3%
2024-014,4234,2391844.2%
2023-124,4074,2241834.2%
2023-114,4454,3111343.0%
2023-104,4434,3151282.9%
2023-094,4324,3091232.8%
2023-084,6214,4901312.8%
2023-074,6504,5241262.7%
2023-064,5114,3791322.9%
2023-054,5574,4231342.9%
2023-044,5014,3641373.0%
2023-034,4974,3251723.8%
2023-024,4564,2831733.9%
2023-014,3884,2161723.9%
2022-124,3144,1621523.5%
2022-114,3224,2071152.7%
2022-104,2904,1821082.5%
2022-094,3424,245972.2%
2022-084,3814,2531282.9%
2022-074,4034,2811222.8%
2022-064,2964,1631333.1%
2022-054,2924,1741182.7%
2022-044,2154,0791363.2%
2022-034,2924,1281643.8%
2022-024,2784,1091694.0%
2022-014,2294,0461834.3%
2021-124,1664,0221443.5%
2021-114,1764,0491273.0%
2021-104,1013,9811202.9%
2021-094,0803,9611192.9%
2021-084,1453,9831623.9%
2021-074,1824,0081744.2%
2021-064,1713,9951764.2%
2021-054,1413,9871543.7%
2021-044,0843,9061784.4%
2021-034,0863,8812055.0%
2021-024,0793,8512285.6%
2021-014,1113,8712405.8%
2020-124,0943,8592355.7%
2020-114,1243,9431814.4%
2020-104,1163,9461704.1%
2020-094,1243,9192055.0%
2020-084,1703,9492215.3%
2020-074,2203,9252957.0%
2020-064,1693,8643057.3%
2020-054,1303,7783528.5%
2020-044,1533,63751612.4%
2020-034,1103,8752355.7%
2020-024,1393,9441954.7%
2020-014,1293,9292004.8%
2019-124,1083,9321764.3%
2019-114,1243,9761483.6%
2019-104,1404,0061343.2%
2019-094,1354,0001353.3%
2019-084,2514,0731784.2%
2019-074,3424,1751673.8%
2019-064,2194,0551643.9%
2019-054,1714,0211503.6%
2019-044,1583,9891694.1%
2019-034,1343,9511834.4%
2019-024,1803,9792014.8%
2019-014,1623,9362265.4%
2018-124,0943,9041904.6%
2018-114,1193,9541654.0%
2018-104,1173,9671503.6%
2018-094,1664,0221443.5%
2018-084,2974,1281693.9%
2018-074,3404,1601804.1%
2018-064,2874,0921954.5%
2018-054,2094,0591503.6%
2018-044,2154,0381774.2%
2018-034,2053,9852205.2%
2018-024,2223,9832395.7%
2018-014,1773,9052726.5%

BEA Personal Income

2024$526.0M9,811$54K
2023$500.7M9,685$52K
2022$464.5M9,541$49K
2021$449.4M9,522$47K
2020$410.3M9,423$44K
2019$377.2M9,393$40K
2018$353.6M9,325$38K
2017$343.6M9,268$37K
2016$330.2M9,196$36K
2015$321.9M9,221$35K
2014$313.7M9,210$34K
2013$304.8M9,329$33K
2012$299.4M9,266$32K
2011$292.7M9,307$31K
2010$284.3M9,296$31K
2009$270.8M9,260$29K
2008$268.8M9,351$29K
2007$252.7M9,264$27K
2006$235.8M9,180$26K
2005$223.4M9,274$24K
2004$218.4M9,274$24K
2003$209.6M9,189$23K
2002$195.7M9,238$21K
2001$192.2M9,303$21K
2000$189.8M9,409$20K
1999$179.5M9,529$19K
1998$180.5M9,779$18K
1997$175.7M9,834$18K
1996$167.4M9,899$17K
1995$163.9M10,070$16K
1994$154.6M10,102$15K
1993$156.1M10,076$15K
1992$142.6M10,049$14K
1991$13K

NFIP FLOOD CLAIMS

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

FEMA NFIP redacted claims (nfip_claim, county_code)

2019-04-21$5K$3K$2KYes
1997-07-19$413.07$413.07$0No
1996-02-07$3K$3K$0No
1995-06-01$0No
1984-09-19$0No
1984-06-21$0No
1984-06-21$0No
1983-01-05$0No
1980-06-13$0No

ALSO CHECKED

18 more data areas were checked for Deer Lodge 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 MT state hub, which carries the same registry at the grain those sources actually have.

Go deeper

EVERY HMDA RECORD IN DEER LODGE COUNTYOpens the loan explorer already filtered to county FIPS 30023.

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