Skip to main content
MortRadarTERMINAL
State markets/North Dakota/Dickey County

COUNTY MORTGAGE MARKET · FIPS 38021

Dickey County, North Dakota

Who lends in Dickey 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

$9.9M

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

Originations · 2025

61

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

Denial rate · 2025

14.1%

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

Lenders active · 2025

29

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

Concentration (HHI)

1,453

unconcentrated

Top-5 lender share

68.0%

of originations

Purchase

67.9%

36 loans

Refinance

32.1%

17 loans

Origination trend

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

Lenders in Dickey 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 Dickey 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 DICKEY COUNTY

TOP TEN LENDERS IN DICKEY 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.

12$2.9M$2.9M originated in Dickey County, 2025Share needs a county-wide denominator, which the narrower fallback source does not carry.
15$2.1M$2.1M originated in Dickey County, 2025Share needs a county-wide denominator, which the narrower fallback source does not carry.
5$725K$725K originated in Dickey County, 2025Share needs a county-wide denominator, which the narrower fallback source does not carry.
4$600K$600K originated in Dickey County, 2025Share needs a county-wide denominator, which the narrower fallback source does not carry.
3$505K$505K originated in Dickey County, 2025Share needs a county-wide denominator, which the narrower fallback source does not carry.
2$490K$490K originated in Dickey County, 2025Share needs a county-wide denominator, which the narrower fallback source does not carry.
3$345K$345K originated in Dickey County, 2025Share needs a county-wide denominator, which the narrower fallback source does not carry.
1$275K$275K originated in Dickey County, 2025Share needs a county-wide denominator, which the narrower fallback source does not carry.
1$255K$255K originated in Dickey County, 2025Share needs a county-wide denominator, which the narrower fallback source does not carry.
1$235K$235K originated in Dickey 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 Dickey County

All 8 ZIP Code Tabulation Areas that touch Dickey 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.
8 OF 8 ZIP AREASEVERY ZIP AREA TOUCHING THE COUNTY — NO ROWS WITHHELD
TOP LENDERRECORDS
22 of the 2 Dickey County tracts this ZIP area touches sit mostly inside it.2,7317.3%816TRACTS →HMDA reports no ZIP. This opens the ZIP area's tract list, where each tract's records open exactly.
11 of the 2 Dickey County tracts this ZIP area touches sit mostly inside it.2,26810.0%786OPEN →This ZIP area is one census tract here, so its records open directly and exactly.
0This ZIP area clips 1 tract of Dickey 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 Dickey 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 Dickey 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 Dickey 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 Dickey 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 Dickey 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 Dickey 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 Dickey 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
Middle106.5%2,26810.0%OPEN →
Middle111.2%1,4685.5%OPEN →
Middle97.9%1,2639.5%OPEN →
Middle106.3%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

4,935

Median household income

$68,654

Median home value

$162,400

Median gross rent

$840

per month

Owner-occupied

79.7%

of occupied units

Housing units

2,394

18.0% vacant

Poverty rate

11.8%

Unemployment

4.1%

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 15.8

Social vulnerability

Relatively Moderate

Community resilience

Relatively Moderate

Federal disaster history

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

Months with an active declaration

119

Declarations recorded

32

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

Everything we hold on Dickey 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 Dickey County.

HMDA loan-level (hmda_loan_wide, county_code)

Open the loan explorer for Dickey CountyEvery reported application and origination in FIPS 38021, filterable on rate, amount, income, purpose and action taken. Loan-level tier.

VA

VA-guaranteed lending in Dickey 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

7

Purchase share

71.4%

5 loans

IRRRL refinances

2

Cash-out refinances

0

20267520
20254211
20243300
20232101
2022211
20217241
20209252
20193201
201811902
20172200
20166303
20153111

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 Dickey 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

Dickey 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

+950.0% vs 2024

Multifamily · 2025

0

Total authorized · 2025

21

+950.0% vs 2024

Permit valuation · 2025

$2.8M

authorized construction value

Units authorized by year

Dickey 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 Dickey 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 - South, DS
outflow2223Other flows - West, DS
inflow2223Other flows - Northeast, DS
inflow2223Other flows - South, DS
outflow2223Other flows - Midwest, DS4373$2.4M
inflow2223Other flows - Midwest, DS2534$800K
inflow2122Other flows - West, DS
outflow2122Other flows - Northeast, DS
outflow2122Other flows - South, DS
outflow2122Other flows - West, DS
inflow2122Other flows - Northeast, DS
inflow2122Other flows - South, DS
inflow2122Other flows - Midwest, DS3667$2.2M
outflow2122Other flows - Midwest, DS2545$1.2M
inflow2021Other flows - South, DS
outflow2021Other flows - South, DS
outflow2021Other flows - West, DS
inflow2021Other flows - West, DS
inflow2021Other flows - Midwest, DS4175$2.1M
outflow2021Other flows - Midwest, DS3455$1.3M
inflow1920Foreign - Other flows, FR
outflow1920Other flows - Northeast, DS
inflow1920Other flows - South, DS
inflow1920Other flows - West, DS
outflow1920Other flows - South, DS
outflow1920Other flows - West, DS
inflow1920Other flows - Northeast, DS
inflow1920Other flows - Midwest, DS
outflow1920Other flows - Midwest, DS4087$1.8M
outflow1920Cass County, ND2436$875K
outflow1819Other flows - Northeast, DS
outflow1819Other flows - South, DS
outflow1819Other flows - West, DS
inflow1819Other flows - Northeast, DS
inflow1819Other flows - South, DS
inflow1819Other flows - West, DS
outflow1819Other flows - Midwest, DS4494$2.1M
inflow1819Other flows - Midwest, DS3054$894K
outflow1718Other flows - West, DS
outflow1718Other flows - South, DS
inflow1718Other flows - West, DS
inflow1718Other flows - Northeast, DS
inflow1718Other flows - South, DS
outflow1718Other flows - Midwest, DS4680$2.1M
inflow1718Other flows - Midwest, DS4388$1.8M
inflow1617Other flows - South, DS
inflow1617Other flows - West, DS
outflow1617Other flows - South, DS
inflow1617Other flows - Northeast, DS
outflow1617Other flows - Midwest, DS4194$1.9M
inflow1617Other flows - Midwest, DS4187$1.2M
outflow1617Other flows - West, DS3560$1.1M
outflow1617Cass County, ND2849$1.4M
outflow1617Brown County, SD2035$1.0M
inflow1516Other flows - West, DS
inflow1516Other flows - South, DS
outflow1516Other flows - Northeast, DS
outflow1516Other flows - South, DS
outflow1516Other flows - West, DS
outflow1516Other flows - Midwest, DS3871$1.9M
inflow1516Other flows - Midwest, DS3472$1.4M
inflow1415Foreign - Other flows, FR
outflow1415Other flows - Northeast, DS
outflow1415Other flows - South, DS
outflow1415Other flows - West, DS
outflow1415Foreign - Other flows, FR
inflow1415Other flows - Northeast, DS
inflow1415Other flows - South, DS
inflow1415Other flows - West, DS
outflow1415Other flows - Midwest, DS3161$1.1M
inflow1415Other flows - Midwest, DS2850$859K
inflow1314Other flows - West, DS
outflow1314Other flows - South, DS
outflow1314Other flows - West, DS
inflow1314Other flows - Northeast, DS
inflow1314Foreign - Other flows, FR
inflow1314Other flows - South, DS
outflow1314Other flows - Midwest, DS4583$1.5M
inflow1314Other flows - Midwest, DS4390$1.9M
inflow1213Other flows - Northeast, DS
outflow1213Other flows - Northeast, DS
outflow1213Other flows - South, DS
outflow1213Other flows - Midwest, DS4099$1.4M
inflow1213Other flows - Midwest, DS3885$1.1M
outflow1213Other flows - West, DS1729$710K
outflow1213Brown County, SD1640$608K
inflow1213Other flows - West, DS1427$639K
inflow1213Cass County, ND1322$895K
outflow1213Cass County, ND1113$342K
inflow1213Other flows - South, DS1125$357K
inflow1213LaMoure County, ND1019$342K
outflow1112Other flows - Northeast, DS
inflow1112Foreign - Other flows, FR
outflow1112Foreign - Other flows, FR
inflow1112Other flows - Northeast, DS
inflow1112Other flows - Midwest, DS60140$1.9M
outflow1112Other flows - Midwest, DS4480$1.6M
inflow1112Other flows - West, DS3664$1.2M
outflow1112Other flows - West, DS2451$879K
outflow1112Brown County, SD1835$492K
inflow1112Other flows - South, DS1746$411K
outflow1112Cass County, ND1520$632K
outflow1112Other flows - South, DS1422$722K
inflow1112Cass County, ND1121$562K

UAD APPRAISALS

FHFA Uniform Appraisal Dataset aggregates for Dickey County.

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

2023PurchaseNo CharacteristicAll Appraisals
2023PurchaseNo CharacteristicAll Appraisals
2023RefinanceNo CharacteristicAll Appraisals
2023PurchaseNo CharacteristicAll Appraisals
2023BothNo CharacteristicAll Appraisals20.0
2023PurchaseNo CharacteristicAll Appraisals
2023PurchaseNo CharacteristicAll Appraisals
2023RefinanceNo CharacteristicAll Appraisals
2023BothNo CharacteristicAll Appraisals126,000.0
2023PurchaseNo CharacteristicAll Appraisals
2023PurchaseNo CharacteristicAll Appraisals
2022PurchaseNo CharacteristicAll Appraisals1.1
2022BothNo CharacteristicAll Appraisals152,300.0
2022PurchaseNo CharacteristicAll Appraisals0.0
2022PurchaseNo CharacteristicAll Appraisals142,000.0
2022PurchaseNo CharacteristicAll Appraisals0.9
2022RefinanceNo CharacteristicAll Appraisals11.0
2022PurchaseNo CharacteristicAll Appraisals0.0
2022PurchaseNo CharacteristicAll Appraisals1.0
2022RefinanceNo CharacteristicAll Appraisals205,000.0
2022BothNo CharacteristicAll Appraisals38.0
2022PurchaseNo CharacteristicAll Appraisals27.0
2021PurchaseNo CharacteristicAll Appraisals1.1
2021RefinanceNo CharacteristicAll Appraisals182,000.0
2021BothNo CharacteristicAll Appraisals45.0
2021PurchaseNo CharacteristicAll Appraisals0.9
2021PurchaseNo CharacteristicAll Appraisals23.0
2021PurchaseNo CharacteristicAll Appraisals0.1
2021RefinanceNo CharacteristicAll Appraisals22.0
2021PurchaseNo CharacteristicAll Appraisals0.1
2021BothNo CharacteristicAll Appraisals175,000.0
2021PurchaseNo CharacteristicAll Appraisals0.8
2021PurchaseNo CharacteristicAll Appraisals154,500.0
2020PurchaseNo CharacteristicAll Appraisals0.1
2020PurchaseNo CharacteristicAll Appraisals1.0
2020BothNo CharacteristicAll Appraisals52.0
2020PurchaseNo CharacteristicAll Appraisals21.0
2020PurchaseNo CharacteristicAll Appraisals0.8
2020BothNo CharacteristicAll Appraisals193,800.0
2020RefinanceNo CharacteristicAll Appraisals235,000.0
2020RefinanceNo CharacteristicAll Appraisals31.0
2020PurchaseNo CharacteristicAll Appraisals160,000.0
2020PurchaseNo CharacteristicAll Appraisals1.0
2020PurchaseNo CharacteristicAll Appraisals0.1
2019PurchaseNo CharacteristicAll Appraisals0.0
2019PurchaseNo CharacteristicAll Appraisals0.9
2019BothNo CharacteristicAll Appraisals159,000.0
2019PurchaseNo CharacteristicAll Appraisals28.0
2019PurchaseNo CharacteristicAll Appraisals0.1
2019PurchaseNo CharacteristicAll Appraisals1.1
2019RefinanceNo CharacteristicAll Appraisals196,300.0
2019BothNo CharacteristicAll Appraisals46.0
2019RefinanceNo CharacteristicAll Appraisals18.0
2019PurchaseNo CharacteristicAll Appraisals141,500.0
2019PurchaseNo CharacteristicAll Appraisals0.9
2018RefinanceNo CharacteristicAll Appraisals207,000.0
2018BothNo CharacteristicAll Appraisals49.0
2018PurchaseNo CharacteristicAll Appraisals31.0
2018RefinanceNo CharacteristicAll Appraisals18.0
2018BothNo CharacteristicAll Appraisals159,000.0
2018PurchaseNo CharacteristicAll Appraisals120,300.0
2018PurchaseNo CharacteristicAll Appraisals0.8
2018PurchaseNo CharacteristicAll Appraisals0.1
2018PurchaseNo CharacteristicAll Appraisals0.2
2018PurchaseNo CharacteristicAll Appraisals1.0
2018PurchaseNo CharacteristicAll Appraisals1.0
2017RefinanceNo CharacteristicAll Appraisals117,500.0
2017PurchaseNo CharacteristicAll Appraisals1.0
2017PurchaseNo CharacteristicAll Appraisals1.1
2017PurchaseNo CharacteristicAll Appraisals0.1
2017PurchaseNo CharacteristicAll Appraisals0.2
2017BothNo CharacteristicAll Appraisals38.0
2017PurchaseNo CharacteristicAll Appraisals20.0
2017PurchaseNo CharacteristicAll Appraisals111,500.0
2017RefinanceNo CharacteristicAll Appraisals18.0
2017PurchaseNo CharacteristicAll Appraisals0.8
2017BothNo CharacteristicAll Appraisals114,000.0
2016PurchaseNo CharacteristicAll Appraisals22.0
2016RefinanceNo CharacteristicAll Appraisals182,500.0
2016PurchaseNo CharacteristicAll Appraisals0.9
2016PurchaseNo CharacteristicAll Appraisals105,000.0
2016PurchaseNo CharacteristicAll Appraisals0.9
2016PurchaseNo CharacteristicAll Appraisals0.0
2016BothNo CharacteristicAll Appraisals141,300.0
2016PurchaseNo CharacteristicAll Appraisals1.1
2016PurchaseNo CharacteristicAll Appraisals0.1
2016BothNo CharacteristicAll Appraisals42.0
2016RefinanceNo CharacteristicAll Appraisals20.0
2015PurchaseNo CharacteristicAll Appraisals1.1
2015PurchaseNo CharacteristicAll Appraisals131,000.0
2015PurchaseNo CharacteristicAll Appraisals0.1
2015RefinanceNo CharacteristicAll Appraisals185,000.0
2015BothNo CharacteristicAll Appraisals46.0
2015RefinanceNo CharacteristicAll Appraisals15.0
2015PurchaseNo CharacteristicAll Appraisals0.0
2015PurchaseNo CharacteristicAll Appraisals0.9
2015PurchaseNo CharacteristicAll Appraisals31.0
2015BothNo CharacteristicAll Appraisals145,500.0
2015PurchaseNo CharacteristicAll Appraisals1.0
2014BothNo CharacteristicAll Appraisals141,000.0

ECONOMY & INCOME

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

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

BLS Local Area Unemployment

2026-053,6073,568391.1%
2026-043,5343,495391.1%
2026-033,5243,472521.5%
2026-023,4013,346551.6%
2026-013,3713,309621.8%
2025-123,4213,376451.3%
2025-113,3953,348471.4%
2025-093,4103,360501.5%
2025-083,3703,320501.5%
2025-073,4333,2851484.3%
2025-063,2983,243551.7%
2025-053,1643,115491.5%
2025-043,0953,045501.6%
2025-033,0092,953561.9%
2025-022,9192,864551.9%
2025-012,9402,882582.0%
2024-122,9172,875421.4%
2024-112,8692,825441.5%
2024-102,9542,916381.3%
2024-092,8882,846421.5%
2024-082,9192,866531.8%
2024-072,9842,8021826.1%
2024-062,7832,722612.2%
2024-052,7282,680481.8%
2024-042,6452,598471.8%
2024-032,5252,472532.1%
2024-022,4632,416471.9%
2024-012,4322,377552.3%
2023-122,5032,456471.9%
2023-112,4882,450381.5%
2023-102,5132,476371.5%
2023-092,5072,466411.6%
2023-082,5822,543391.5%
2023-072,5082,470381.5%
2023-062,5592,508512.0%
2023-052,5202,478421.7%
2023-042,4912,451401.6%
2023-032,4912,441502.0%
2023-022,4602,413471.9%
2023-012,4372,380572.3%
2022-122,4802,434461.9%
2022-112,4312,396351.4%
2022-102,5052,476291.2%
2022-092,4392,412271.1%
2022-082,5242,484401.6%
2022-072,4752,436391.6%
2022-062,5502,498522.0%
2022-052,4932,454391.6%
2022-042,4752,435401.6%
2022-032,5212,475461.8%
2022-022,4802,433471.9%
2022-012,4492,406431.8%
2021-122,5002,461391.6%
2021-112,5002,463371.5%
2021-102,5602,519411.6%
2021-092,5672,524431.7%
2021-082,6142,563512.0%
2021-072,5022,451512.0%
2021-062,6432,570732.8%
2021-052,5282,473552.2%
2021-042,5032,447562.2%
2021-032,5192,453662.6%
2021-022,4872,414732.9%
2021-012,4792,410692.8%
2020-122,5672,490773.0%
2020-112,5212,462592.3%
2020-102,6282,575532.0%
2020-092,6232,571522.0%
2020-082,6852,626592.2%
2020-072,6232,541823.1%
2020-062,7332,639943.4%
2020-052,6082,5051033.9%
2020-042,6362,4242128.0%
2020-032,5642,516481.9%
2020-022,5542,513411.6%
2020-012,5432,500431.7%
2019-122,5772,541361.4%
2019-112,5652,533321.2%
2019-102,6462,621250.9%
2019-092,6442,609351.3%
2019-082,6672,625421.6%
2019-072,6802,636441.6%
2019-062,7482,697511.9%
2019-052,6542,615391.5%
2019-042,6302,588421.6%
2019-032,6322,577552.1%
2019-022,6232,573501.9%
2019-012,6322,577552.1%
2018-122,6042,554501.9%
2018-112,6412,603381.4%
2018-102,7092,674351.3%
2018-092,7052,667381.4%
2018-082,7342,684501.8%
2018-072,7852,748371.3%
2018-062,8812,834471.6%
2018-052,7782,744341.2%
2018-042,7412,699421.5%
2018-032,7432,698451.6%
2018-022,7142,664501.8%
2018-012,7392,692471.7%

BEA Personal Income

2024$471.5M4,930$96K
2023$509.6M4,940$103K
2022$485.7M4,941$98K
2021$381.2M4,903$78K
2020$329.0M4,960$66K
2019$317.3M5,076$63K
2018$269.9M5,100$53K
2017$250.9M5,010$50K
2016$262.4M5,148$51K
2015$266.2M5,180$51K
2014$308.8M5,204$59K
2013$315.3M5,273$60K
2012$336.5M5,274$64K
2011$325.5M5,283$62K
2010$268.9M5,284$51K
2009$206.7M5,269$39K
2008$228.4M5,305$43K
2007$205.4M5,412$38K
2006$182.0M5,419$34K
2005$173.1M5,496$31K
2004$162.6M5,561$29K
2003$149.1M5,510$27K
2002$139.4M5,611$25K
2001$139.1M5,683$24K
2000$146.2M5,761$25K
1999$121.8M5,740$21K
1998$130.0M5,752$23K
1997$110.6M5,720$19K
1996$118.2M5,740$21K
1995$95.4M5,823$16K
1994$110.1M5,931$19K
1993$93.7M5,928$16K
1992$95.6M5,944$16K
1991$15K

NFIP FLOOD CLAIMS

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

FEMA NFIP redacted claims (nfip_claim, county_code)

2012-04-12$0Yes
2011-09-15$0No
2011-05-04$0Yes
2011-04-29$0No
2009-04-25$0No
1997-04-06$20K$20K$0No

ALSO CHECKED

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

Go deeper

EVERY HMDA RECORD IN DICKEY COUNTYOpens the loan explorer already filtered to county FIPS 38021.

See the North Dakota state market profile for the statewide picture, the North Dakota 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.