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State markets/New York/Schuyler County

COUNTY MORTGAGE MARKET · FIPS 36097

Schuyler County, New York

Who lends in Schuyler 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

$54.3M

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

Originations · 2025

310

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

Denial rate · 2025

18.9%

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

Lenders active · 2025

78

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

Concentration (HHI)

436

unconcentrated

Top-5 lender share

37.5%

of originations

Purchase

66.8%

133 loans

Refinance

33.2%

66 loans

Origination trend

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

Lenders in Schuyler 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 Schuyler 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 SCHUYLER COUNTY

TOP TEN LENDERS IN SCHUYLER 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.

38$4.9M$4.9M originated in Schuyler County, 2025Share needs a county-wide denominator, which the narrower fallback source does not carry.
35$4.5M$4.5M originated in Schuyler County, 2025Share needs a county-wide denominator, which the narrower fallback source does not carry.
17$4.2M$4.2M originated in Schuyler County, 2025Share needs a county-wide denominator, which the narrower fallback source does not carry.
18$3.4M$3.4M originated in Schuyler County, 2025Share needs a county-wide denominator, which the narrower fallback source does not carry.
35$3.3M$3.3M originated in Schuyler County, 2025Share needs a county-wide denominator, which the narrower fallback source does not carry.
24$2.7M$2.7M originated in Schuyler County, 2025Share needs a county-wide denominator, which the narrower fallback source does not carry.
9$2.5M$2.5M originated in Schuyler County, 2025Share needs a county-wide denominator, which the narrower fallback source does not carry.
7$2.0M$2.0M originated in Schuyler County, 2025Share needs a county-wide denominator, which the narrower fallback source does not carry.
6$1.8M$1.8M originated in Schuyler County, 2025Share needs a county-wide denominator, which the narrower fallback source does not carry.
7$1.8M$1.8M originated in Schuyler 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 Schuyler County

All 18 ZIP Code Tabulation Areas that touch Schuyler 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.
18 OF 18 ZIP AREASEVERY ZIP AREA TOUCHING THE COUNTY — NO ROWS WITHHELD
TOP LENDERRECORDS
22 of the 3 Schuyler County tracts this ZIP area touches sit mostly inside it.5,4717.9%1,636TRACTS →HMDA reports no ZIP. This opens the ZIP area's tract list, where each tract's records open exactly.
11 of the 1 Schuyler County tract this ZIP area touches sit mostly inside it.4,8956.9%1,657OPEN →This ZIP area is one census tract here, so its records open directly and exactly.
11 of the 2 Schuyler County tracts this ZIP area touches sit mostly inside it.4,4877.8%1,300OPEN →This ZIP area is one census tract here, so its records open directly and exactly.
11 of the 2 Schuyler County tracts this ZIP area touches sit mostly inside it.3,0455.3%944OPEN →This ZIP area is one census tract here, so its records open directly and exactly.
0This ZIP area clips 1 tract of Schuyler 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 Schuyler 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 Schuyler 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 Schuyler 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 Schuyler 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 Schuyler 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 Schuyler 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 Schuyler 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 3 tracts of Schuyler 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 Schuyler 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 Schuyler 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 Schuyler 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 Schuyler 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 Schuyler 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.

5 of Schuyler County’s 6 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 Schuyler County

All 6 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.

6 OF 6 TRACTSEVERY TRACT IN THE COUNTY — NO ROWS WITHHELD
TOP LENDERRECORDS
Middle100.0%4,8956.9%OPEN →
Middle113.9%1,7197.7%OPEN →
Middle97.2%3,0455.3%OPEN →
Moderate79.9%3,7527.9%OPEN →
Middle103.3%4,4877.8%OPEN →
Middle101.5%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

17,562

Median household income

$67,663

Median home value

$171,800

Median gross rent

$899

per month

Owner-occupied

79.2%

of occupied units

Housing units

9,752

24.6% vacant

Poverty rate

14.8%

Unemployment

6.5%

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 16.3

Social vulnerability

Relatively Moderate

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

67

Declarations recorded

15

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

Everything we hold on Schuyler 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 Schuyler County.

HMDA loan-level (hmda_loan_wide, county_code)

Open the loan explorer for Schuyler CountyEvery reported application and origination in FIPS 36097, filterable on rate, amount, income, purpose and action taken. Loan-level tier.

VA

VA-guaranteed lending in Schuyler 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

9

Purchase share

55.6%

5 loans

IRRRL refinances

3

Cash-out refinances

1

20269531
20257502
20245401
20239801
2022836
2021309165
2020216105
201913706
201810613
201719847
201611515
2015201334

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 Schuyler 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

Schuyler 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

52

+6.1% vs 2024

Multifamily · 2025

2

−66.7% vs 2024

Total authorized · 2025

54

−1.8% vs 2024

Permit valuation · 2025

$12.6M

authorized construction value

Units authorized by year

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

UNITS · SF IN TOOLTIP
0255075100199019921994199619982000200220042006200820102012201420162018202020222024202554 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 Schuyler County, showing population movement and wealth transfer.

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

outflow2223Other flows - Midwest, DS
inflow2223Foreign - Other flows, FR
inflow2223Other flows - Midwest, DS
outflow2223Foreign - Other flows, FR
outflow2223Other flows - West, DS
outflow2223Chemung County, NY82134$3.9M
inflow2223Chemung County, NY76123$4.9M
outflow2223Other flows - South, DS74119$5.5M
outflow2223Steuben County, NY71115$2.8M
inflow2223Tompkins County, NY68104$3.6M
inflow2223Steuben County, NY64109$3.9M
inflow2223Other flows - South, DS59106$2.8M
outflow2223Tompkins County, NY4876$2.4M
outflow2223Other flows - Northeast, DS3246$1.9M
inflow2223Other flows - Northeast, DS2946$2.1M
inflow2223Other flows - West, DS2231$1.7M
outflow2223Yates County, NY2141$1.1M
inflow2223Seneca County, NY2133$1.4M
inflow2223Yates County, NY2040$979K
inflow2122Other flows - West, DS
outflow2122Other flows - Midwest, DS
inflow2122Other flows - Midwest, DS
outflow2122Chemung County, NY97176$5.3M
inflow2122Chemung County, NY93146$5.4M
inflow2122Tompkins County, NY74116$3.1M
outflow2122Other flows - South, DS73128$6.4M
outflow2122Steuben County, NY70125$5.9M
inflow2122Steuben County, NY69128$4.8M
outflow2122Tompkins County, NY58102$2.9M
inflow2122Other flows - South, DS5687$3.2M
inflow2122Other flows - Northeast, DS4567$3.3M
inflow2122Seneca County, NY3248$1.0M
inflow2122Yates County, NY3163$1.3M
outflow2122Other flows - Northeast, DS2842$1.2M
outflow2122Yates County, NY2743$1.1M
outflow2122Other flows - West, DS2440$1.7M
inflow2021Other flows - West, DS
outflow2021Other flows - Midwest, DS
outflow2021Foreign - Other flows, FR
inflow2021Other flows - Midwest, DS
outflow2021Steuben County, NY82152$3.8M
inflow2021Chemung County, NY81157$4.5M
outflow2021Chemung County, NY79130$4.0M
outflow2021Other flows - South, DS79155$4.3M
inflow2021Tompkins County, NY78141$4.0M
inflow2021Steuben County, NY65126$3.9M
outflow2021Tompkins County, NY4868$1.4M
inflow2021Other flows - South, DS4265$2.1M
inflow2021Yates County, NY4074$1.3M
inflow2021Other flows - Northeast, DS3555$2.1M
outflow2021Yates County, NY3257$1.0M
outflow2021Other flows - Northeast, DS3146$1.9M
outflow2021Seneca County, NY3054$1.2M
outflow2021Other flows - West, DS2439$1.2M
inflow1920Foreign - Other flows, FR
outflow1920Other flows - Midwest, DS
inflow1920Other flows - Midwest, DS
outflow1920Chemung County, NY95172$4.0M
inflow1920Tompkins County, NY92159$5.3M
inflow1920Chemung County, NY84150$4.6M
outflow1920Other flows - South, DS83133$5.2M
inflow1920Steuben County, NY78153$3.5M
outflow1920Tompkins County, NY63104$2.3M
outflow1920Steuben County, NY61107$2.4M
inflow1920Other flows - South, DS55101$2.6M
outflow1920Yates County, NY4073$1.3M
inflow1920Other flows - Northeast, DS3159$2.1M
outflow1920Other flows - Northeast, DS3154$1.9M
outflow1920Other flows - West, DS3057$1.3M
inflow1920Yates County, NY2753$1.4M
inflow1920Other flows - West, DS2537$1.9M
outflow1920Seneca County, NY2540$858K
inflow1920Seneca County, NY2342$1.1M
inflow1920Monroe County, NY2036$1.1M
outflow1819Other flows - West, DS
inflow1819Foreign - Other flows, FR
inflow1819Other flows - West, DS
inflow1819Other flows - Midwest, DS
outflow1819Foreign - Other flows, FR
outflow1819Other flows - Midwest, DS
outflow1819Chemung County, NY82147$2.8M
inflow1819Chemung County, NY76158$4.1M
outflow1819Other flows - South, DS76134$4.6M
outflow1819Steuben County, NY75144$3.7M
inflow1819Steuben County, NY73125$3.8M
outflow1819Tompkins County, NY64112$2.5M
inflow1819Tompkins County, NY5890$2.3M
inflow1819Other flows - South, DS4773$1.7M
inflow1819Other flows - Northeast, DS3662$2.4M
outflow1819Yates County, NY3473$1.3M
inflow1819Yates County, NY3471$1.5M
outflow1819Other flows - Northeast, DS3045$1.6M
inflow1718Foreign - Other flows, FR
outflow1718Other flows - Midwest, DS
outflow1718Foreign - Other flows, FR
inflow1718Other flows - Midwest, DS
inflow1718Other flows - West, DS
inflow1718Chemung County, NY106173$5.5M
inflow1718Tompkins County, NY86156$4.1M
outflow1718Other flows - South, DS78140$4.2M
outflow1718Steuben County, NY72132$2.9M
outflow1718Tompkins County, NY71103$2.5M
inflow1718Steuben County, NY70139$3.5M
outflow1718Chemung County, NY70123$2.8M
inflow1718Other flows - South, DS4283$2.0M
inflow1718Yates County, NY3578$1.3M
outflow1718Yates County, NY3365$1.2M
outflow1718Other flows - Northeast, DS2950$1.0M
inflow1718Other flows - Northeast, DS2951$1.8M
inflow1718Seneca County, NY2747$1.4M
outflow1718Seneca County, NY2547$790K
outflow1718Other flows - West, DS2135$942K
outflow1617Other flows - Midwest, DS
inflow1617Other flows - Midwest, DS
outflow1617Foreign - Other flows, FR
outflow1617Chemung County, NY123210$5.1M
inflow1617Tompkins County, NY119210$4.8M
inflow1617Chemung County, NY102183$4.3M
outflow1617Other flows - South, DS100178$4.8M
inflow1617Steuben County, NY88155$4.1M
outflow1617Steuben County, NY81154$2.9M
outflow1617Tompkins County, NY77129$3.2M
inflow1617Other flows - South, DS66123$3.8M
outflow1617Yates County, NY5092$1.8M
inflow1617Yates County, NY5098$1.8M
inflow1617Other flows - Northeast, DS4890$4.1M
outflow1617Other flows - Northeast, DS3758$1.6M
inflow1617Seneca County, NY3455$1.2M
inflow1617Other flows - West, DS2533$924K
outflow1617Other flows - West, DS2533$1.2M
outflow1617Seneca County, NY2442$541K
inflow1516Foreign - Other flows, FR
outflow1516Other flows - Midwest, DS
outflow1516Foreign - Other flows, FR
inflow1516Other flows - Midwest, DS
inflow1516Other flows - West, DS
inflow1516Chemung County, NY95168$4.0M
outflow1516Chemung County, NY88149$3.0M
outflow1516Tompkins County, NY84150$3.3M
outflow1516Other flows - South, DS77143$4.1M
inflow1516Tompkins County, NY75125$2.7M
inflow1516Steuben County, NY66122$3.0M
outflow1516Steuben County, NY66140$2.9M
inflow1516Other flows - South, DS4671$1.8M
outflow1516Yates County, NY3575$1.4M
inflow1516Yates County, NY3248$792K
outflow1516Other flows - Northeast, DS3048$1.6M
inflow1516Seneca County, NY2961$1.1M
inflow1516Other flows - Northeast, DS2241$1.6M
outflow1516Other flows - West, DS2027$1.0M
inflow1415Other flows - West, DS
outflow1415Other flows - Midwest, DS
outflow1415Other flows - West, DS
outflow1415Foreign - Other flows, FR
inflow1415Other flows - Midwest, DS
outflow1415Chemung County, NY90162$3.8M
outflow1415Other flows - South, DS66104$2.8M
outflow1415Tompkins County, NY5690$2.1M
inflow1415Tompkins County, NY5171$2.0M
outflow1415Steuben County, NY4886$1.4M
inflow1415Steuben County, NY4883$1.7M
inflow1415Chemung County, NY4684$2.3M
inflow1415Yates County, NY4478$1.0M
inflow1415Other flows - South, DS2653$948K
outflow1415Other flows - Northeast, DS2546$1.8M
outflow1415Yates County, NY2339$489K
inflow1415Other flows - Northeast, DS2138$1.3M
inflow1314Foreign - Other flows, FR
outflow1314Other flows - Midwest, DS
outflow1314Other flows - West, DS
outflow1314Foreign - Other flows, FR
inflow1314Other flows - Midwest, DS
inflow1314Other flows - West, DS
outflow1314Chemung County, NY102188$4.4M
inflow1314Chemung County, NY101202$5.0M
outflow1314Other flows - South, DS76117$2.2M
inflow1314Tompkins County, NY75136$3.5M
outflow1314Tompkins County, NY71112$2.4M
inflow1314Steuben County, NY65125$3.2M
outflow1314Steuben County, NY59122$2.2M
inflow1314Other flows - South, DS5599$2.5M
outflow1314Other flows - Northeast, DS3367$2.1M
inflow1314Yates County, NY3371$967K
inflow1314Other flows - Northeast, DS3258$2.6M
outflow1314Yates County, NY2953$1.1M
outflow1314Seneca County, NY2027$1.0M
inflow1213Foreign - Other flows, FR
outflow1213Foreign - Other flows, FR
inflow1213Chemung County, NY117246$6.0M
outflow1213Chemung County, NY89165$3.1M
outflow1213Other flows - South, DS84135$2.7M
inflow1213Tompkins County, NY77113$2.6M
outflow1213Steuben County, NY72135$2.3M
outflow1213Tompkins County, NY72126$2.9M
inflow1213Steuben County, NY68125$2.5M
inflow1213Other flows - South, DS62122$2.0M
outflow1213Other flows - Northeast, DS3761$1.6M
inflow1213Other flows - Northeast, DS3651$1.6M
inflow1213Seneca County, NY2747$755K
outflow1213Other flows - West, DS2650$1.0M

UAD APPRAISALS

FHFA Uniform Appraisal Dataset aggregates for Schuyler County.

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

2023PurchaseNo CharacteristicAll Appraisals49.0
2023PurchaseNo CharacteristicAll Appraisals0.1
2023RefinanceNo CharacteristicAll Appraisals15.0
2023PurchaseNo CharacteristicAll Appraisals1.1
2023BothNo CharacteristicAll Appraisals64.0
2023PurchaseNo CharacteristicAll Appraisals0.9
2023PurchaseNo CharacteristicAll Appraisals0.9
2023RefinanceNo CharacteristicAll Appraisals214,000.0
2023BothNo CharacteristicAll Appraisals280,000.0
2023PurchaseNo CharacteristicAll Appraisals291,000.0
2023PurchaseNo CharacteristicAll Appraisals0.0
2022PurchaseNo CharacteristicAll Appraisals1.1
2022BothNo CharacteristicAll Appraisals245,000.0
2022PurchaseNo CharacteristicAll Appraisals0.2
2022PurchaseNo CharacteristicAll Appraisals250,000.0
2022PurchaseNo CharacteristicAll Appraisals1.0
2022RefinanceNo CharacteristicAll Appraisals53.0
2022PurchaseNo CharacteristicAll Appraisals0.1
2022PurchaseNo CharacteristicAll Appraisals0.7
2022RefinanceNo CharacteristicAll Appraisals238,000.0
2022BothNo CharacteristicAll Appraisals121.0
2022PurchaseNo CharacteristicAll Appraisals68.0
2021PurchaseNo CharacteristicAll Appraisals1.1
2021RefinanceNo CharacteristicAll Appraisals224,500.0
2021BothNo CharacteristicAll Appraisals159.0
2021PurchaseNo CharacteristicAll Appraisals0.9
2021PurchaseNo CharacteristicAll Appraisals75.0
2021PurchaseNo CharacteristicAll Appraisals0.1
2021RefinanceNo CharacteristicAll Appraisals84.0
2021PurchaseNo CharacteristicAll Appraisals0.1
2021BothNo CharacteristicAll Appraisals231,000.0
2021PurchaseNo CharacteristicAll Appraisals0.8
2021PurchaseNo CharacteristicAll Appraisals240,000.0
2020PurchaseNo CharacteristicAll Appraisals0.1
2020PurchaseNo CharacteristicAll Appraisals1.0
2020BothNo CharacteristicAll Appraisals117.0
2020PurchaseNo CharacteristicAll Appraisals62.0
2020PurchaseNo CharacteristicAll Appraisals0.7
2020BothNo CharacteristicAll Appraisals212,000.0
2020RefinanceNo CharacteristicAll Appraisals202,000.0
2020RefinanceNo CharacteristicAll Appraisals55.0
2020PurchaseNo CharacteristicAll Appraisals239,500.0
2020PurchaseNo CharacteristicAll Appraisals1.0
2020PurchaseNo CharacteristicAll Appraisals0.2
2019PurchaseNo CharacteristicAll Appraisals0.1
2019PurchaseNo CharacteristicAll Appraisals1.0
2019BothNo CharacteristicAll Appraisals179,000.0
2019PurchaseNo CharacteristicAll Appraisals55.0
2019PurchaseNo CharacteristicAll Appraisals0.2
2019PurchaseNo CharacteristicAll Appraisals1.1
2019RefinanceNo CharacteristicAll Appraisals201,000.0
2019BothNo CharacteristicAll Appraisals97.0
2019RefinanceNo CharacteristicAll Appraisals42.0
2019PurchaseNo CharacteristicAll Appraisals170,000.0
2019PurchaseNo CharacteristicAll Appraisals0.8
2018RefinanceNo CharacteristicAll Appraisals150,000.0
2018BothNo CharacteristicAll Appraisals92.0
2018PurchaseNo CharacteristicAll Appraisals60.0
2018RefinanceNo CharacteristicAll Appraisals32.0
2018BothNo CharacteristicAll Appraisals164,500.0
2018PurchaseNo CharacteristicAll Appraisals172,500.0
2018PurchaseNo CharacteristicAll Appraisals0.8
2018PurchaseNo CharacteristicAll Appraisals0.1
2018PurchaseNo CharacteristicAll Appraisals0.2
2018PurchaseNo CharacteristicAll Appraisals1.0
2018PurchaseNo CharacteristicAll Appraisals1.0
2017RefinanceNo CharacteristicAll Appraisals186,000.0
2017PurchaseNo CharacteristicAll Appraisals1.0
2017PurchaseNo CharacteristicAll Appraisals1.0
2017PurchaseNo CharacteristicAll Appraisals0.2
2017PurchaseNo CharacteristicAll Appraisals0.0
2017BothNo CharacteristicAll Appraisals91.0
2017PurchaseNo CharacteristicAll Appraisals46.0
2017PurchaseNo CharacteristicAll Appraisals163,000.0
2017RefinanceNo CharacteristicAll Appraisals45.0
2017PurchaseNo CharacteristicAll Appraisals0.8
2017BothNo CharacteristicAll Appraisals168,000.0
2016PurchaseNo CharacteristicAll Appraisals36.0
2016RefinanceNo CharacteristicAll Appraisals164,500.0
2016PurchaseNo CharacteristicAll Appraisals1.0
2016PurchaseNo CharacteristicAll Appraisals147,000.0
2016PurchaseNo CharacteristicAll Appraisals0.8
2016PurchaseNo CharacteristicAll Appraisals0.1
2016BothNo CharacteristicAll Appraisals157,500.0
2016PurchaseNo CharacteristicAll Appraisals1.0
2016PurchaseNo CharacteristicAll Appraisals0.1
2016BothNo CharacteristicAll Appraisals78.0
2016RefinanceNo CharacteristicAll Appraisals42.0
2015PurchaseNo CharacteristicAll Appraisals1.0
2015PurchaseNo CharacteristicAll Appraisals158,000.0
2015PurchaseNo CharacteristicAll Appraisals0.1
2015RefinanceNo CharacteristicAll Appraisals165,000.0
2015BothNo CharacteristicAll Appraisals74.0
2015RefinanceNo CharacteristicAll Appraisals37.0
2015PurchaseNo CharacteristicAll Appraisals0.1
2015PurchaseNo CharacteristicAll Appraisals0.9
2015PurchaseNo CharacteristicAll Appraisals37.0
2015BothNo CharacteristicAll Appraisals165,000.0
2015PurchaseNo CharacteristicAll Appraisals1.0
2014BothNo CharacteristicAll Appraisals155,100.0

ECONOMY & INCOME

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

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

BLS Local Area Unemployment

2026-058,1337,8163173.9%
2026-047,9177,5593584.5%
2026-037,9337,4884455.6%
2026-027,9207,4175036.4%
2026-017,9257,4564695.9%
2025-127,9357,5503854.9%
2025-118,0647,7373274.1%
2025-098,2968,0242723.3%
2025-088,3078,0172903.5%
2025-078,3198,0232963.6%
2025-068,2267,9692573.1%
2025-058,0707,8192513.1%
2025-047,8487,5393093.9%
2025-037,7347,3224125.3%
2025-027,7927,2944986.4%
2025-017,7757,3124636.0%
2024-127,7107,3433674.8%
2024-117,8387,5612773.5%
2024-108,0487,8082403.0%
2024-098,3488,1152332.8%
2024-088,2027,9182843.5%
2024-078,2577,9592983.6%
2024-068,2207,9522683.3%
2024-058,0247,7672573.2%
2024-047,8067,4923144.0%
2024-037,8617,4464155.3%
2024-027,7977,3394585.9%
2024-017,7427,3014415.7%
2023-127,8077,4383694.7%
2023-118,0057,7023033.8%
2023-108,1857,9332523.1%
2023-098,3348,0902442.9%
2023-088,3078,0352723.3%
2023-078,2738,0192543.1%
2023-068,2898,0462432.9%
2023-058,0547,8182362.9%
2023-047,9167,6612553.2%
2023-037,8647,5033614.6%
2023-027,8147,4064085.2%
2023-017,7367,3304065.2%
2022-127,7217,4183033.9%
2022-117,8367,5752613.3%
2022-108,0337,8212122.6%
2022-098,1467,9282182.7%
2022-088,0637,7952683.3%
2022-078,1937,9302633.2%
2022-068,2107,9442663.2%
2022-058,0767,8222543.1%
2022-047,8377,5442933.7%
2022-037,8687,4883804.8%
2022-027,8857,4524335.5%
2022-017,7917,3904015.1%
2021-127,8207,5302903.7%
2021-117,9487,6642843.6%
2021-108,1577,8802773.4%
2021-098,3168,0182983.6%
2021-088,3117,9573544.3%
2021-078,2667,8863804.6%
2021-068,3037,8994044.9%
2021-058,1647,7983664.5%
2021-048,0237,5924315.4%
2021-037,9737,4135607.0%
2021-027,9157,3156007.6%
2021-017,8417,2705717.3%
2020-127,9177,3875306.7%
2020-118,0307,5944365.4%
2020-108,2217,8144075.0%
2020-098,3087,8564525.4%
2020-088,3227,7985246.3%
2020-078,3447,6327128.5%
2020-068,3067,4918159.8%
2020-058,0356,8981,13714.2%
2020-048,0356,4831,55219.3%
2020-038,1747,5775977.3%
2020-028,2377,7075306.4%
2020-018,2097,6805296.4%
2019-128,0777,6484295.3%
2019-118,1097,7673424.2%
2019-108,3128,0192933.5%
2019-098,4248,1542703.2%
2019-088,4408,1173233.8%
2019-078,4788,1513273.9%
2019-068,4118,1093023.6%
2019-058,2387,9522863.5%
2019-048,1647,8153494.3%
2019-038,1447,6774675.7%
2019-028,2127,7025106.2%
2019-018,2367,7295076.2%
2018-128,2657,8054605.6%
2018-118,3137,9683454.2%
2018-108,4658,1672983.5%
2018-098,5648,2772873.4%
2018-088,5798,2513283.8%
2018-078,8178,4683494.0%
2018-068,6888,3343544.1%
2018-058,4938,1383554.2%
2018-048,3707,9174535.4%
2018-038,2567,6675897.1%
2018-028,2967,6546427.7%
2018-018,2417,6086337.7%

BEA Personal Income

2024$951.8M17,121$56K
2023$917.4M17,446$53K
2022$884.8M17,591$50K
2021$888.7M17,789$50K
2020$847.3M17,861$47K
2019$765.6M17,993$43K
2018$732.5M18,003$41K
2017$724.2M18,052$40K
2016$693.7M18,098$38K
2015$697.9M18,140$38K
2014$690.1M18,267$38K
2013$669.7M18,455$36K
2012$655.6M18,549$35K
2011$635.4M18,446$34K
2010$604.7M18,346$33K
2009$574.4M18,398$31K
2008$560.5M18,644$30K
2007$525.6M18,707$28K
2006$497.6M18,752$27K
2005$489.1M18,880$26K
2004$481.1M19,034$25K
2003$454.7M19,151$24K
2002$440.8M19,179$23K
2001$438.0M19,175$23K
2000$441.5M19,232$23K
1999$402.6M19,117$21K
1998$371.5M19,143$19K
1997$352.6M19,023$19K
1996$341.9M19,089$18K
1995$323.9M19,128$17K
1994$309.7M18,973$16K
1993$297.2M18,965$16K
1992$287.0M18,907$15K
1991$15K

NFIP FLOOD CLAIMS

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

FEMA NFIP redacted claims (nfip_claim, county_code)

2018-08-20$0Yes
2018-08-14$21K$21K$0Yes
2018-08-14$23K$19K$4KNo
2018-08-14$6K$6K$0No
2018-08-14$252K$225K$28KNo
2014-05-15$0No
2014-03-13$0Yes
2003-07-22$2K$2K$0Yes
2003-07-22$2K$2K$0Yes
1996-11-08$6K$6K$0No
1996-11-08$0No
1996-11-08$0No
1996-11-08$696.56$696.56$0No
1996-11-08$0No
1996-11-08$960.95$960.95$0No
1996-11-08$9K$0$9KNo
1996-01-19$0No
1993-09-02$2K$0$2KNo
1993-05-15$6K$6K$0No
1993-05-01$2K$655.38$866.8No
1993-04-29$7K$7K$0No
1993-04-29$10K$10K$0No
1993-04-28$7K$6K$1KYes
1993-04-26$10K$10K$0No
1993-04-26$10K$10K$0No
1993-04-25$0Yes
1993-04-25$12K$8K$4KNo
1993-04-12$21K$21K$0No
1979-09-06$0No
1979-07-16$0No

ALSO CHECKED

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

Go deeper

EVERY HMDA RECORD IN SCHUYLER COUNTYOpens the loan explorer already filtered to county FIPS 36097.

See the New York state market profile for the statewide picture, the New York 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.