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State markets/New York/New York County

COUNTY MORTGAGE MARKET · FIPS 36061

New York County, New York

Who lends in New York 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

$18.34B

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

Originations · 2025

7,521

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

Denial rate · 2025

14.9%

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

Lenders active · 2025

296

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 296 lenders that originated in New York County in 2025. HHI is the Herfindahl-Hirschman index over lender shares.

Concentration (HHI)

1,224

unconcentrated

Top-5 lender share

59.3%

of originations

Purchase

77.9%

5,420 loans

Refinance

22.1%

1,536 loans

Origination trend

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

Lenders in New York 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 New York 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 NEW YORK COUNTY →

TOP TEN LENDERS IN NEW YORK 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.

665$5.48B$5.48B originated in New York County, 2025—Share needs a county-wide denominator, which the narrower fallback source does not carry.—
1,241$2.62B$2.62B originated in New York County, 2025—Share needs a county-wide denominator, which the narrower fallback source does not carry.—
823$1.03B$1.03B originated in New York County, 2025—Share needs a county-wide denominator, which the narrower fallback source does not carry.—
698$922.1M$922.1M originated in New York County, 2025—Share needs a county-wide denominator, which the narrower fallback source does not carry.—
6$822.1M$822.1M originated in New York County, 2025—Share needs a county-wide denominator, which the narrower fallback source does not carry.—
325$645.8M$645.8M originated in New York County, 2025—Share needs a county-wide denominator, which the narrower fallback source does not carry.—
259$434.2M$434.2M originated in New York County, 2025—Share needs a county-wide denominator, which the narrower fallback source does not carry.—
7$383.6M$383.6M originated in New York County, 2025—Share needs a county-wide denominator, which the narrower fallback source does not carry.—
4$335.9M$335.9M originated in New York County, 2025—Share needs a county-wide denominator, which the narrower fallback source does not carry.—
192$316.5M$316.5M originated in New York County, 2025—Share 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 New York County

All 70 ZIP Code Tabulation Areas that touch New York 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.
70 OF 70 ZIP AREASEVERY ZIP AREA TOUCHING THE COUNTY — NO ROWS WITHHELD
TOP LENDERRECORDS
1111 of the 15 New York County tracts this ZIP area touches sit mostly inside it.97,30947.9%13,465——TRACTS →HMDA reports no ZIP. This opens the ZIP area's tract list, where each tract's records open exactly.
1515 of the 17 New York County tracts this ZIP area touches sit mostly inside it.86,59882.7%2,662——TRACTS →HMDA reports no ZIP. This opens the ZIP area's tract list, where each tract's records open exactly.
1414 of the 16 New York County tracts this ZIP area touches sit mostly inside it.81,34676.3%4,887——TRACTS →HMDA reports no ZIP. This opens the ZIP area's tract list, where each tract's records open exactly.
1616 of the 18 New York County tracts this ZIP area touches sit mostly inside it.77,14775.2%3,834——TRACTS →HMDA reports no ZIP. This opens the ZIP area's tract list, where each tract's records open exactly.
1212 of the 14 New York County tracts this ZIP area touches sit mostly inside it.71,68433.0%12,682——TRACTS →HMDA reports no ZIP. This opens the ZIP area's tract list, where each tract's records open exactly.
1111 of the 13 New York County tracts this ZIP area touches sit mostly inside it.67,52829.0%10,656——TRACTS →HMDA reports no ZIP. This opens the ZIP area's tract list, where each tract's records open exactly.
1010 of the 10 New York County tracts this ZIP area touches sit mostly inside it.62,53952.3%2,177——TRACTS →HMDA reports no ZIP. This opens the ZIP area's tract list, where each tract's records open exactly.
1010 of the 12 New York County tracts this ZIP area touches sit mostly inside it.60,42032.1%12,003——TRACTS →HMDA reports no ZIP. This opens the ZIP area's tract list, where each tract's records open exactly.
1010 of the 12 New York County tracts this ZIP area touches sit mostly inside it.60,31481.5%3,283——TRACTS →HMDA reports no ZIP. This opens the ZIP area's tract list, where each tract's records open exactly.
99 of the 13 New York County tracts this ZIP area touches sit mostly inside it.60,09438.6%8,504——TRACTS →HMDA reports no ZIP. This opens the ZIP area's tract list, where each tract's records open exactly.
77 of the 11 New York County tracts this ZIP area touches sit mostly inside it.59,19026.8%10,325——TRACTS →HMDA reports no ZIP. This opens the ZIP area's tract list, where each tract's records open exactly.
1111 of the 14 New York County tracts this ZIP area touches sit mostly inside it.56,30433.5%8,823——TRACTS →HMDA reports no ZIP. This opens the ZIP area's tract list, where each tract's records open exactly.
99 of the 13 New York County tracts this ZIP area touches sit mostly inside it.53,33582.4%2,142——TRACTS →HMDA reports no ZIP. This opens the ZIP area's tract list, where each tract's records open exactly.
1010 of the 15 New York County tracts this ZIP area touches sit mostly inside it.52,77421.5%10,437——TRACTS →HMDA reports no ZIP. This opens the ZIP area's tract list, where each tract's records open exactly.
88 of the 10 New York County tracts this ZIP area touches sit mostly inside it.49,62576.7%2,077——TRACTS →HMDA reports no ZIP. This opens the ZIP area's tract list, where each tract's records open exactly.
88 of the 15 New York County tracts this ZIP area touches sit mostly inside it.42,11846.8%5,043——TRACTS →HMDA reports no ZIP. This opens the ZIP area's tract list, where each tract's records open exactly.
88 of the 9 New York County tracts this ZIP area touches sit mostly inside it.39,37876.8%2,180——TRACTS →HMDA reports no ZIP. This opens the ZIP area's tract list, where each tract's records open exactly.
66 of the 11 New York County tracts this ZIP area touches sit mostly inside it.38,28421.2%7,945——TRACTS →HMDA reports no ZIP. This opens the ZIP area's tract list, where each tract's records open exactly.
66 of the 12 New York County tracts this ZIP area touches sit mostly inside it.37,85678.5%1,556——TRACTS →HMDA reports no ZIP. This opens the ZIP area's tract list, where each tract's records open exactly.
88 of the 9 New York County tracts this ZIP area touches sit mostly inside it.37,42224.5%6,147——TRACTS →HMDA reports no ZIP. This opens the ZIP area's tract list, where each tract's records open exactly.
1010 of the 14 New York County tracts this ZIP area touches sit mostly inside it.35,85226.1%9,122——TRACTS →HMDA reports no ZIP. This opens the ZIP area's tract list, where each tract's records open exactly.
88 of the 11 New York County tracts this ZIP area touches sit mostly inside it.35,19445.0%3,963——TRACTS →HMDA reports no ZIP. This opens the ZIP area's tract list, where each tract's records open exactly.
66 of the 10 New York County tracts this ZIP area touches sit mostly inside it.34,58935.7%3,503——TRACTS →HMDA reports no ZIP. This opens the ZIP area's tract list, where each tract's records open exactly.
88 of the 11 New York County tracts this ZIP area touches sit mostly inside it.32,20452.7%2,012——TRACTS →HMDA reports no ZIP. This opens the ZIP area's tract list, where each tract's records open exactly.
77 of the 11 New York County tracts this ZIP area touches sit mostly inside it.31,85978.0%2,202——TRACTS →HMDA reports no ZIP. This opens the ZIP area's tract list, where each tract's records open exactly.
88 of the 12 New York County tracts this ZIP area touches sit mostly inside it.31,12388.6%852——TRACTS →HMDA reports no ZIP. This opens the ZIP area's tract list, where each tract's records open exactly.
66 of the 10 New York County tracts this ZIP area touches sit mostly inside it.29,16020.8%4,457——TRACTS →HMDA reports no ZIP. This opens the ZIP area's tract list, where each tract's records open exactly.
55 of the 10 New York County tracts this ZIP area touches sit mostly inside it.28,49192.8%1,854——TRACTS →HMDA reports no ZIP. This opens the ZIP area's tract list, where each tract's records open exactly.
44 of the 8 New York County tracts this ZIP area touches sit mostly inside it.25,51589.0%1,332——TRACTS →HMDA reports no ZIP. This opens the ZIP area's tract list, where each tract's records open exactly.
77 of the 13 New York County tracts this ZIP area touches sit mostly inside it.24,80357.6%2,591——TRACTS →HMDA reports no ZIP. This opens the ZIP area's tract list, where each tract's records open exactly.
44 of the 7 New York County tracts this ZIP area touches sit mostly inside it.24,76354.0%2,605——TRACTS →HMDA reports no ZIP. This opens the ZIP area's tract list, where each tract's records open exactly.
44 of the 10 New York County tracts this ZIP area touches sit mostly inside it.24,25324.1%2,968——TRACTS →HMDA reports no ZIP. This opens the ZIP area's tract list, where each tract's records open exactly.
55 of the 10 New York County tracts this ZIP area touches sit mostly inside it.22,17630.6%2,043——TRACTS →HMDA reports no ZIP. This opens the ZIP area's tract list, where each tract's records open exactly.
55 of the 9 New York County tracts this ZIP area touches sit mostly inside it.19,65740.8%3,371——TRACTS →HMDA reports no ZIP. This opens the ZIP area's tract list, where each tract's records open exactly.
66 of the 7 New York County tracts this ZIP area touches sit mostly inside it.17,86561.7%933——TRACTS →HMDA reports no ZIP. This opens the ZIP area's tract list, where each tract's records open exactly.
33 of the 8 New York County tracts this ZIP area touches sit mostly inside it.14,72292.6%378——TRACTS →HMDA reports no ZIP. This opens the ZIP area's tract list, where each tract's records open exactly.
11 of the 3 New York County tracts this ZIP area touches sit mostly inside it.10,54235.7%753——OPEN →This ZIP area is one census tract here, so its records open directly and exactly.
11 of the 3 New York County tracts this ZIP area touches sit mostly inside it.10,42239.1%1,627——OPEN →This ZIP area is one census tract here, so its records open directly and exactly.
33 of the 3 New York County tracts this ZIP area touches sit mostly inside it.9,31158.2%1,251——TRACTS →HMDA reports no ZIP. This opens the ZIP area's tract list, where each tract's records open exactly.
22 of the 6 New York County tracts this ZIP area touches sit mostly inside it.8,90738.8%1,216——TRACTS →HMDA reports no ZIP. This opens the ZIP area's tract list, where each tract's records open exactly.
11 of the 1 New York County tract this ZIP area touches sit mostly inside it.8,59493.6%158——OPEN →This ZIP area is one census tract here, so its records open directly and exactly.
11 of the 1 New York County tract this ZIP area touches sit mostly inside it.5,84734.3%215——OPEN →This ZIP area is one census tract here, so its records open directly and exactly.
11 of the 3 New York County tracts this ZIP area touches sit mostly inside it.5,75928.4%1,682——OPEN →This ZIP area is one census tract here, so its records open directly and exactly.
11 of the 1 New York County tract this ZIP area touches sit mostly inside it.5,40238.2%427——OPEN →This ZIP area is one census tract here, so its records open directly and exactly.
44 of the 7 New York County tracts this ZIP area touches sit mostly inside it.2,01643.1%122——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 New York 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 New York 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 New York 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 New York 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 New York 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 New York 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 New York 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 New York 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 New York 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 New York 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 New York 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 New York 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 New York 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 New York 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 New York 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 New York 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 New York 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 New York 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 New York 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 New York 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 New York 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 New York 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 New York 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 New York 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 New York 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.

310 of New York County’s 310 census tracts are grouped into the ZIP areas above, with none left over. 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 New York County

All 310 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.

310 OF 310 TRACTSEVERY TRACT IN THE COUNTY — NO ROWS WITHHELD
TOP LENDERRECORDS
—0.0%00.0%OPEN →
Low36.4%2,01289.0%OPEN →
Moderate56.8%7,26678.3%OPEN →
—0.0%——OPEN →
Low29.1%11,61690.1%OPEN →
Upper292.4%10,54235.7%OPEN →
Low41.3%10,87188.7%OPEN →
Upper292.4%2,01643.1%OPEN →
Upper172.8%1,76738.6%OPEN →
Low32.1%6,30097.9%OPEN →
Middle85.9%3,77654.9%OPEN →
Upper256.3%5,40238.2%OPEN →
Upper168.1%3,54341.3%OPEN →
—0.0%3,41872.0%OPEN →
Upper179.2%8,38543.4%OPEN →
Upper238.7%10,37839.0%OPEN →
Moderate60.2%7,69882.5%OPEN →
Low43.3%7,93467.8%OPEN →
Low30.0%4,64898.3%OPEN →
Upper292.4%7,81133.1%OPEN →
Low34.5%6,96976.6%OPEN →
Middle95.8%2,48847.4%OPEN →
Low23.3%4,51898.2%OPEN →
Low30.1%4,63098.1%OPEN →
Moderate71.2%3,60968.9%OPEN →
Middle91.4%4,81650.0%OPEN →
Upper155.7%1,37083.1%OPEN →
—0.0%6,81968.3%OPEN →
—0.0%1,09679.2%OPEN →
Low47.1%4,35987.2%OPEN →
Moderate75.2%4,66344.8%OPEN →
Middle100.1%3,03548.0%OPEN →
Upper284.3%2,98957.5%OPEN →
Upper126.7%8,37233.2%OPEN →
Upper292.4%6,45825.2%OPEN →
Middle99.3%7,01236.4%OPEN →
Moderate53.1%3,51370.7%OPEN →
Upper148.3%3,00040.7%OPEN →
Upper292.4%3,09228.9%OPEN →
Moderate72.4%9,07034.9%OPEN →
Upper292.4%7,03625.9%OPEN →
Upper205.1%3,74329.3%OPEN →
Upper292.4%5,09038.1%OPEN →
Middle104.5%7,52365.5%OPEN →
Upper292.4%5,21649.4%OPEN →
Moderate73.2%4,15838.5%OPEN →
Upper191.5%17,22235.7%OPEN →
Upper247.6%1,09337.0%OPEN →
Upper191.5%2,64424.9%OPEN →
Upper208.7%6,95531.5%OPEN →
Upper160.8%4,77724.2%OPEN →
Upper292.4%5,22324.7%OPEN →
Upper292.4%3,80835.5%OPEN →
Upper292.4%4,90925.1%OPEN →
Upper242.9%4,56434.5%OPEN →
Upper262.1%1,95624.2%OPEN →
Upper292.4%4,28140.6%OPEN →
Upper292.4%2,99820.4%OPEN →
Upper292.4%5,10930.6%OPEN →
Upper268.2%5,70725.4%OPEN →
Upper271.9%5,06326.9%OPEN →
Upper292.4%5,49435.5%OPEN →
Upper128.3%3,68655.3%OPEN →
Upper292.4%6,70720.7%OPEN →
Upper291.1%8,74433.5%OPEN →
Upper292.4%6,72129.5%OPEN →
Upper223.2%12,34148.9%OPEN →
Upper171.8%5,54720.7%OPEN →
Upper263.6%7,70635.3%OPEN →
Upper292.4%2,79925.9%OPEN →
Upper270.5%4,55035.3%OPEN →
Upper254.5%4,86529.9%OPEN →
Upper292.4%5,85123.1%OPEN →
Upper292.4%9,35831.1%OPEN →
Upper292.4%6,18019.7%OPEN →
Upper244.3%5,69836.2%OPEN →
Upper154.6%4,00019.2%OPEN →
Upper188.4%2,92161.5%OPEN →
Upper201.1%6,19220.9%OPEN →
Upper206.8%9,10940.5%OPEN →
Upper292.4%4,44220.2%OPEN →
Upper246.6%5,90631.2%OPEN →
Upper216.0%7,85329.8%OPEN →
Upper229.1%3,41434.7%OPEN →
Low41.5%3,85356.4%OPEN →
Upper292.4%1,98562.9%OPEN →
Upper258.8%4,85349.7%OPEN →
—0.0%00.0%OPEN →
Upper292.4%5,34721.9%OPEN →
Upper223.1%6,51029.9%OPEN →
Upper211.3%8,85240.1%OPEN →
Upper292.4%5,95736.4%OPEN →
Upper284.2%8,83040.8%OPEN →
Upper292.4%7,36234.0%OPEN →
Upper292.4%1,86643.8%OPEN →
Middle119.6%9,32538.9%OPEN →
—0.0%10949.5%OPEN →
Upper292.4%3,89255.4%OPEN →
—0.0%60879.9%OPEN →
Middle113.8%5,07156.0%OPEN →
—0.0%8,07833.0%OPEN →
Upper292.4%2,09332.8%OPEN →
Upper292.4%3,84843.2%OPEN →
Upper263.4%2,38059.7%OPEN →
Upper292.4%2,17040.5%OPEN →
Upper145.6%2,59668.0%OPEN →
—0.0%28327.9%OPEN →
Upper173.7%4,09564.9%OPEN →
Upper199.3%98334.6%OPEN →
Upper292.4%8,25615.3%OPEN →
Upper234.9%5,48936.2%OPEN →
Upper184.4%3,29730.0%OPEN →
Upper281.0%3,80524.1%OPEN →
Upper292.4%2,69630.0%OPEN →
Upper201.1%40767.1%OPEN →
Upper288.6%7,67128.4%OPEN →
Upper201.0%6,13861.5%OPEN →
Upper292.4%1,23327.7%OPEN →
Upper292.4%50026.0%OPEN →
Upper276.4%1,42032.3%OPEN →
—0.0%21663.9%OPEN →
Upper292.4%1,36120.9%OPEN →
Upper292.4%2,62021.8%OPEN →
Upper176.1%3,86364.1%OPEN →
Upper187.0%3,26333.3%OPEN →
Upper220.2%5,25659.1%OPEN →
Upper292.4%9,68820.2%OPEN →
—0.0%1,66676.7%OPEN →
Upper271.4%3,90515.8%OPEN →
Middle92.6%3,40853.8%OPEN →
—0.0%5,23636.5%OPEN →
Upper292.4%3,42514.4%OPEN →
Upper272.3%10,84528.6%OPEN →
Upper292.4%2,90165.0%OPEN →
Upper292.4%7,43722.1%OPEN →
Upper211.2%6,40017.3%OPEN →
Upper137.0%7,28246.0%OPEN →
Upper277.1%6,54514.1%OPEN →
Upper292.4%7,95957.6%OPEN →
Moderate70.6%3,14452.6%OPEN →
Upper292.4%3,91113.4%OPEN →
Upper167.9%3,96253.0%OPEN →
—0.0%3,14626.5%OPEN →
—0.0%4,23728.5%OPEN →
Middle85.8%3,74726.9%OPEN →
Upper287.2%6,78248.2%OPEN →
Upper292.4%11,88222.9%OPEN →
Upper173.7%5,50458.6%OPEN →
—0.0%6,35860.9%OPEN →
Upper292.4%1,96213.3%OPEN →
Upper219.4%5,07024.2%OPEN →
Upper287.2%4,38720.8%OPEN →
Upper170.2%5,05724.9%OPEN →
Upper292.4%7,30836.4%OPEN →
Upper276.2%13,10924.0%OPEN →
Upper200.8%9,98839.0%OPEN →
Upper292.4%8,05018.0%OPEN →
Upper292.4%4,46313.9%OPEN →
—0.0%12975.2%OPEN →
Upper292.4%5,04020.8%OPEN →
Upper247.7%7,15123.8%OPEN →
Upper242.5%7,53238.6%OPEN →
Upper256.8%4,48127.9%OPEN →
Upper234.0%9,06126.2%OPEN →
Upper292.4%2,98745.0%OPEN →
Upper292.4%3,22122.9%OPEN →
Upper210.6%7,49421.4%OPEN →
Upper256.7%6,35124.1%OPEN →
Upper292.4%2,32115.2%OPEN →
Upper292.4%5,64213.8%OPEN →
Low47.7%3,75687.5%OPEN →
Upper204.1%8,25451.1%OPEN →
Upper145.6%7,73046.9%OPEN →
Upper292.4%3,68419.9%OPEN →
Upper278.0%6,03226.8%OPEN →
Upper210.8%5,18929.9%OPEN →
Upper145.8%4,50332.8%OPEN →
Upper189.5%5,73841.6%OPEN →
Upper292.4%5,09123.9%OPEN →
Upper180.7%5,75928.4%OPEN →
Upper175.7%5,56839.5%OPEN →
Middle106.1%2,15469.3%OPEN →
Upper292.4%11,19724.2%OPEN →
Upper292.4%5,60023.6%OPEN →
Upper191.4%4,51645.9%OPEN →
Upper236.3%10,05424.9%OPEN →
Upper292.4%3,85215.0%OPEN →
Upper152.1%3,60736.6%OPEN →
Upper280.0%6,61722.7%OPEN →
Low37.3%9,03393.5%OPEN →
Upper210.4%7,29227.6%OPEN →
Low42.0%7,37188.7%OPEN →
Upper292.4%6,65922.6%OPEN →
Low45.0%7,01279.3%OPEN →
Upper292.4%7,21023.1%OPEN →
Low38.8%4,96481.3%OPEN →
Upper250.6%8,52626.8%OPEN →
Moderate70.2%7,99189.1%OPEN →
Upper233.2%9,69425.9%OPEN →
Low39.6%5,44186.1%OPEN →
Upper244.1%8,69933.6%OPEN →
Low37.5%5,44986.8%OPEN →
Moderate58.5%2,27680.9%OPEN →
Upper292.4%11,11026.9%OPEN →
Upper148.7%9,38249.3%OPEN →
Moderate69.8%3,86078.8%OPEN →
Upper281.3%9,10333.5%OPEN →
Low37.7%7,42989.5%OPEN →
Upper138.2%8,94142.9%OPEN →
Low46.0%7,67590.2%OPEN →
Upper262.2%8,53435.6%OPEN →
Low37.2%7,82091.3%OPEN →
Upper212.8%5,24341.4%OPEN →
Moderate53.9%5,12793.2%OPEN →
Upper253.1%9,38338.7%OPEN →
Low34.1%5,69785.0%OPEN →
Low39.1%11,55673.5%OPEN →
Middle100.3%3,67979.5%OPEN →
Upper213.9%9,00538.6%OPEN →
Low33.5%3,97195.3%OPEN →
Middle81.6%8,73671.7%OPEN →
Low41.6%6,97891.7%OPEN →
Upper149.2%7,82843.1%OPEN →
Moderate50.8%4,03186.3%OPEN →
—0.0%1,27869.9%OPEN →
Upper150.9%2,60164.9%OPEN →
Upper141.8%2,37076.3%OPEN →
Upper266.3%9,59848.3%OPEN →
Middle118.9%2,85569.9%OPEN →
Upper280.0%1,86355.0%OPEN →
Upper121.9%4,07771.2%OPEN →
Middle100.2%3,87463.2%OPEN →
Upper253.2%5,02340.5%OPEN →
Middle91.2%3,62883.1%OPEN →
Upper143.1%3,03551.7%OPEN →
Upper132.2%5,25581.0%OPEN →
Low48.0%3,66592.7%OPEN →
Moderate51.3%6,74897.6%OPEN →
Moderate76.7%10,52968.3%OPEN →
Middle119.4%4,89987.5%OPEN →
Moderate69.4%5,58379.0%OPEN →
Middle88.3%3,07589.8%OPEN →
Moderate54.3%3,85688.7%OPEN →
Moderate72.1%8,56775.8%OPEN →
—0.0%54562.9%OPEN →
Moderate71.7%6,53079.1%OPEN →
Low29.1%5,69695.1%OPEN →
Middle115.9%6,11476.2%OPEN →
Upper163.9%2,38276.1%OPEN →
Moderate76.2%3,29374.8%OPEN →
Moderate51.3%7,25884.8%OPEN →
Moderate62.5%3,10186.1%OPEN →
Moderate55.9%7,34691.3%OPEN →
Moderate72.1%9,89584.9%OPEN →
Moderate75.1%4,89083.6%OPEN →
Middle98.4%5,38775.9%OPEN →
Middle96.3%5,96184.7%OPEN →
Moderate54.0%7,97583.6%OPEN →
Low49.0%9,11189.9%OPEN →
Moderate64.4%6,27377.7%OPEN →
Low48.7%8,06195.1%OPEN →
Middle88.3%6,36876.2%OPEN →
Low42.0%5,11285.1%OPEN →
Middle80.4%6,72082.3%OPEN →
Moderate60.3%2,20689.3%OPEN →
Moderate55.1%9,90797.3%OPEN →
Moderate52.7%6,79282.1%OPEN →
Upper130.6%2,38051.7%OPEN →
Upper140.5%3,62560.7%OPEN →
Upper222.4%3,30660.3%OPEN →
Low42.8%2,67584.4%OPEN →
—0.0%——OPEN →
Moderate79.1%7,61278.3%OPEN →
Low48.6%4,44895.8%OPEN →
Moderate76.1%3,99384.3%OPEN →
Low30.9%7,23798.9%OPEN →
Moderate52.6%13,38587.5%OPEN →
Middle85.7%6,52181.0%OPEN →
Moderate59.2%1,08485.4%OPEN →
Moderate53.9%2,28789.5%OPEN →
Moderate63.2%10,08184.3%OPEN →
Middle110.3%5,69768.3%OPEN →
Middle113.5%4,27068.4%OPEN →
Middle94.7%4,02982.3%OPEN →
Moderate67.8%10,73394.8%OPEN →
Moderate60.7%7,96988.4%OPEN →
Upper123.3%6,85069.2%OPEN →
Moderate67.1%2,08345.5%OPEN →
Moderate70.3%7,84890.1%OPEN →
Middle104.3%7,62373.5%OPEN →
Upper129.8%6,51938.2%OPEN →
Upper200.0%3,06332.3%OPEN →
Low38.6%6,42389.8%OPEN →
Moderate59.5%10,01979.4%OPEN →
Upper184.8%3,10832.2%OPEN →
Middle82.4%7,74081.1%OPEN →
Moderate65.1%6,79490.0%OPEN →
Middle88.0%3,77269.5%OPEN →
Moderate67.9%10,50992.4%OPEN →
Moderate55.4%8,03592.5%OPEN →
Middle115.4%7,03966.4%OPEN →
—0.0%16100.0%OPEN →
Low42.0%3,59897.8%OPEN →
Middle82.5%3,69163.9%OPEN →
Upper153.1%3,42744.7%OPEN →
Low45.8%8,59493.6%OPEN →
—0.0%——OPEN →
Upper292.4%5,84734.3%OPEN →
Upper251.8%10,42239.1%OPEN →
—0.0%——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

1,629,477

Median household income

$103,931

Median home value

$1,090,500

Median gross rent

$2,197

per month

Owner-occupied

25.1%

of occupied units

Housing units

923,472

15.7% vacant

Poverty rate

16.5%

Unemployment

7.6%

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

Relatively High

score 98.8

Social vulnerability

Very High

Community resilience

Relatively High

ELEVATED PERILS

Inland flooding Very High · Hurricane Relatively High · Strong wind Very High · Heat wave Relatively High · Winter weather Very 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

73

Declarations recorded

23

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

Everything we hold on New York 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 New York County.

HMDA loan-level (hmda_loan_wide, county_code)

Open the loan explorer for New York County →Every reported application and origination in FIPS 36061, filterable on rate, amount, income, purpose and action taken. Loan-level tier.

VA

VA-guaranteed lending in New York 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

12

—

Purchase share

75.0%

9 loans

IRRRL refinances

2

Cash-out refinances

1

202612—921
20255—410
20244—400
20235—302
2022——411
202121—966
202011—524
20197—601
20184—301
20176—132
20164—301
20152—200

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 New York 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

New York 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

1

—

Multifamily · 2025

2,983

−33.2% vs 2024

Total authorized · 2025

2,984

−33.2% vs 2024

Permit valuation · 2025

$527.4M

authorized construction value

Units authorized by year

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

UNITS · SF IN TOOLTIP
05K10K15K20K19901992199419961998200020022004200620082010201220142016201820202022202420252,984 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 New York County, showing population movement and wealth transfer.

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

outflow2223Kings County, NY14,12317,176$2.14B
inflow2223Kings County, NY7,4219,588$992.1M
outflow2223Queens County, NY6,8449,047$677.0M
outflow2223Bronx County, NY5,8179,905$280.2M
inflow2223Bronx County, NY4,6917,900$215.8M
inflow2223Queens County, NY4,2415,666$450.3M
outflow2223Hudson County, NJ3,8605,068$719.0M
outflow2223Westchester County, NY2,9705,190$854.1M
outflow2223Foreign - Overseas, FR2,6713,752$598.9M
inflow2223Westchester County, NY2,5423,406$587.3M
inflow2223Los Angeles County, CA2,5372,928$547.5M
outflow2223Los Angeles County, CA2,2642,840$640.3M
inflow2223Nassau County, NY2,1262,625$372.3M
inflow2223Other flows - South, DS1,9722,315$146.3M
outflow2223Bergen County, NJ1,8043,133$366.4M
inflow2223Cook County, IL1,7551,926$299.4M
inflow2223Suffolk County, NY1,7432,429$658.5M
inflow2223Western Connecticut Planning Regi, CT1,6831,941$306.9M
inflow2223Hudson County, NJ1,6672,097$287.7M
inflow2223San Francisco County, CA1,6531,798$362.1M
inflow2223Bergen County, NJ1,6352,078$245.9M
outflow2223Nassau County, NY1,6232,640$443.6M
outflow2223Other flows - South, DS1,5792,307$156.5M
outflow2223Suffolk County, NY1,4512,254$548.9M
outflow2223Miami-Dade County, FL1,4452,031$516.8M
outflow2223Western Connecticut Planning Regi, CT1,3982,394$718.2M
inflow2223Foreign - Overseas, FR1,3351,716$239.7M
inflow2223Suffolk County, MA1,2461,361$187.6M
inflow2223Middlesex County, MA1,2121,292$121.7M
inflow2223District of Columbia, DC1,2101,324$150.6M
inflow2223Miami-Dade County, FL1,1491,385$338.3M
inflow2223Other flows - Midwest, DS1,0491,175$77.9M
inflow2223Philadelphia County, PA9761,107$114.9M
inflow2223King County, WA9181,053$153.0M
outflow2223Essex County, NJ9041,584$170.4M
outflow2223Cook County, IL8781,054$279.9M
outflow2223Philadelphia County, PA8771,144$109.3M
inflow2223Essex County, NJ8531,122$165.0M
inflow2223Santa Clara County, CA839944$143.9M
outflow2223San Francisco County, CA804962$236.0M
outflow2223Other flows - Midwest, DS7681,046$79.0M
outflow2223District of Columbia, DC750887$120.7M
inflow2223Monmouth County, NJ734823$164.3M
outflow2223Palm Beach County, FL7341,127$424.4M
outflow2223Suffolk County, MA731844$139.5M
inflow2223Palm Beach County, FL649746$127.5M
inflow2223Montgomery County, MD645703$67.9M
outflow2223Middlesex County, MA641795$117.3M
inflow2223Orange County, CA613681$71.2M
inflow2223Fulton County, GA612684$73.5M
inflow2223Morris County, NJ607652$68.4M
inflow2223Other flows - West, DS597679$47.7M
inflow2223San Diego County, CA586640$94.0M
inflow2223Harris County, TX557698$80.2M
inflow2223Alameda County, CA555630$70.4M
inflow2223Middlesex County, NJ551671$77.5M
inflow2223Dallas County, TX545625$118.7M
inflow2223Fairfax County, VA538588$54.8M
outflow2223Other flows - West, DS526687$65.4M
inflow2223Union County, NJ523645$68.3M
outflow2223Broward County, FL506693$79.6M
inflow2223Norfolk County, MA499532$42.5M
inflow2223Broward County, FL499576$53.1M
inflow2223Travis County, TX490550$89.4M
outflow2223Richmond County, NY483821$29.8M
outflow2223Union County, NJ482818$103.4M
outflow2223King County, WA481604$93.8M
inflow2223South Central Connecticut Plannin, CT476571$58.8M
inflow2223Montgomery County, PA464497$51.0M
outflow2223Middlesex County, NJ464702$92.3M
outflow2223Monmouth County, NJ459670$132.0M
outflow2223San Diego County, CA459603$143.2M
inflow2223Somerset County, NJ446484$116.8M
outflow2223Travis County, TX437532$73.9M
outflow2223Other flows - Northeast, DS425586$60.4M
outflow2223Santa Clara County, CA422523$95.2M
inflow2223Mecklenburg County, NC419482$51.4M
inflow2223Richmond County, NY418605$36.0M
inflow2223Capitol Planning Region, CT405434$35.1M
inflow2223Other flows - Northeast, DS403478$39.5M
outflow2223Orange County, NY395670$49.9M
inflow2223Maricopa County, AZ387469$39.7M
inflow2223Allegheny County, PA384410$50.2M
outflow2223Morris County, NJ373584$92.4M
outflow2223Harris County, TX372538$68.6M
outflow2223Dutchess County, NY353546$89.0M
inflow2223Rockland County, NY348439$49.2M
outflow2223Passaic County, NJ348559$23.0M
inflow2223San Mateo County, CA347381$69.5M
inflow2223Mercer County, NJ346394$60.6M
outflow2223Fulton County, GA332445$54.9M
outflow2223South Central Connecticut Plannin, CT331481$48.4M
outflow2223Denver County, CO328396$58.9M
inflow2223Greater Bridgeport Planning Regio, CT323361$40.6M
outflow2223Dallas County, TX318442$71.0M
inflow2223Oakland County, MI316352$33.0M
outflow2223Orange County, CA313431$57.7M
inflow2223Denver County, CO312345$41.5M
inflow2223Dutchess County, NY308387$50.6M
outflow2223Mecklenburg County, NC291419$50.1M
outflow2223Montgomery County, MD286418$45.8M
outflow2223Orange County, FL283431$26.7M
inflow2223Orange County, FL279350$26.0M
outflow2223Rockland County, NY276519$41.3M
outflow2223Ulster County, NY275412$166.9M
inflow2223Wake County, NC272313$27.9M
inflow2223Hennepin County, MN268297$31.1M
outflow2223Greater Bridgeport Planning Regio, CT267468$45.4M
outflow2223Alameda County, CA263312$50.7M
inflow2223Davidson County, TN254298$34.3M
inflow2223Cuyahoga County, OH252285$23.2M
inflow2223Hillsborough County, FL252292$21.5M
inflow2223Bucks County, PA251270$30.4M
outflow2223Hillsborough County, FL243356$37.4M
inflow2223Essex County, MA236260$21.3M
inflow2223Arlington County, VA234247$25.6M
inflow2223Passaic County, NJ234319$21.5M
inflow2223Orange County, NY233324$26.7M
inflow2223Erie County, NY232262$22.5M
inflow2223Baltimore city, MD227255$23.1M
inflow2223Contra Costa County, CA226252$30.6M
inflow2223Franklin County, OH225250$21.8M
inflow2223Collin County, TX222245$29.2M
inflow2223Chester County, PA222243$23.1M
inflow2223Providence County, RI215237$15.3M
outflow2223Davidson County, TN211263$36.5M
outflow2223Maricopa County, AZ209318$39.8M
outflow2223Somerset County, NJ207285$38.1M
inflow2223Tompkins County, NY205222$16.7M
outflow2223Mercer County, NJ204317$59.9M
outflow2223Norfolk County, MA204289$34.2M
inflow2223Delaware County, PA204237$24.8M
inflow2223Washtenaw County, MI203231$18.3M
inflow2223Monroe County, NY202220$17.7M
outflow2223San Mateo County, CA202279$68.0M
outflow2223Fairfax County, VA196280$36.4M
outflow2223Wake County, NC193301$30.2M
inflow2223Ocean County, NJ186221$26.6M
outflow2223Capitol Planning Region, CT185263$31.5M
inflow2223Baltimore County, MD180197$13.4M
inflow2223Salt Lake County, UT177214$19.7M
outflow2223Clark County, NV175232$26.6M
inflow2223Durham County, NC174199$14.1M
inflow2223DeKalb County, GA172201$14.4M
outflow2223Montgomery County, PA169255$37.9M
outflow2223Allegheny County, PA169223$31.7M
inflow2223St. Louis County, MO168184$12.9M
inflow2223Lake County, IL168189$17.9M
inflow2223Multnomah County, OR167195$18.7M
inflow2223Albany County, NY167191$42.0M
outflow2223Arlington County, VA166202$26.9M
inflow2223Ulster County, NY161239$38.6M
inflow2223Worcester County, MA158182$13.6M
inflow2223Marin County, CA157180$22.6M
outflow2223Essex County, MA157240$15.1M
outflow2223Baltimore city, MD157211$16.5M
outflow2223Ocean County, NJ153237$26.6M
outflow2223Charleston County, SC152215$60.4M
outflow2223Bucks County, PA152203$32.3M
inflow2223Plymouth County, MA151161$14.7M
inflow2223Hamilton County, OH151164$13.2M
outflow2223Pinellas County, FL148201$32.3M
inflow2223Naugatuck Valley Planning Region, CT147194$15.4M
outflow2223Albany County, NY146199$27.5M
outflow2223Lehigh County, PA145268$8.1M
outflow2223Monroe County, NY144189$15.5M
inflow2223Onondaga County, NY143170$10.6M
outflow2223Luzerne County, PA142268$4.8M
inflow2223Gwinnett County, GA140170$13.7M
inflow2223Clark County, NV140166$12.8M
outflow2223Naugatuck Valley Planning Region, CT139223$15.2M
inflow2223Tarrant County, TX138157$16.6M
outflow2223Durham County, NC138190$16.6M
inflow2223DuPage County, IL136146$14.5M
outflow2223Providence County, RI135194$14.5M
outflow2223Columbia County, NY134200$48.2M
inflow2223Duval County, FL133146$15.1M
inflow2223Pinellas County, FL132147$11.2M
inflow2223Loudoun County, VA132145$12.7M
outflow2223Putnam County, NY131221$32.0M
inflow2223New Castle County, DE130142$11.8M
inflow2223Charleston County, SC128137$10.2M
outflow2223Franklin County, OH128187$14.0M
outflow2223Berks County, PA127249$5.3M
inflow2223Bexar County, TX126146$9.7M
outflow2223Erie County, NY124165$12.8M
inflow2223Wayne County, MI123131$15.8M
outflow2223Hennepin County, MN120157$21.5M
inflow2223Sarasota County, FL119142$26.5M
inflow2223Fort Bend County, TX119130$13.0M
inflow2223Collier County, FL119140$20.8M
inflow2223Dane County, WI117134$9.1M
outflow2223Northwest Hills Planning Region, CT117197$64.9M
inflow2223Camden County, NJ117135$12.4M
outflow2223Foreign - Puerto Rico, FR116141$15.2M
outflow2223Cuyahoga County, OH113157$13.6M
inflow2223Anne Arundel County, MD113125$10.7M
outflow2223DeKalb County, GA112159$14.4M
outflow2223Monroe County, PA112204$10.7M
inflow2223Burlington County, NJ112120$9.6M

UAD APPRAISALS

FHFA Uniform Appraisal Dataset aggregates for New York County.

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

2023PurchaseNo CharacteristicAll Appraisals31.0
2023PurchaseNo CharacteristicAll Appraisals0.7
2023RefinanceNo CharacteristicAll Appraisals13.0
2023PurchaseNo CharacteristicAll Appraisals1.0
2023BothNo CharacteristicAll Appraisals44.0
2023PurchaseNo CharacteristicAll Appraisals0.3
2023PurchaseNo CharacteristicAll Appraisals1.0
2023RefinanceNo CharacteristicAll Appraisals5,000,000.0
2023BothNo CharacteristicAll Appraisals4,712,500.0
2023PurchaseNo CharacteristicAll Appraisals4,625,000.0
2023PurchaseNo CharacteristicAll Appraisals0.0
2022PurchaseNo CharacteristicAll Appraisals1.0
2022BothNo CharacteristicAll Appraisals6,150,000.0
2022PurchaseNo CharacteristicAll Appraisals0.5
2022PurchaseNo CharacteristicAll Appraisals6,475,000.0
2022PurchaseNo CharacteristicAll Appraisals1.0
2022RefinanceNo CharacteristicAll Appraisals43.0
2022PurchaseNo CharacteristicAll Appraisals0.0
2022PurchaseNo CharacteristicAll Appraisals0.5
2022RefinanceNo CharacteristicAll Appraisals5,650,000.0
2022BothNo CharacteristicAll Appraisals111.0
2022PurchaseNo CharacteristicAll Appraisals68.0
2021PurchaseNo CharacteristicAll Appraisals1.0
2021RefinanceNo CharacteristicAll Appraisals5,000,000.0
2021BothNo CharacteristicAll Appraisals158.0
2021PurchaseNo CharacteristicAll Appraisals1.0
2021PurchaseNo CharacteristicAll Appraisals55.0
2021PurchaseNo CharacteristicAll Appraisals0.6
2021RefinanceNo CharacteristicAll Appraisals103.0
2021PurchaseNo CharacteristicAll Appraisals0.0
2021BothNo CharacteristicAll Appraisals5,000,000.0
2021PurchaseNo CharacteristicAll Appraisals0.4
2021PurchaseNo CharacteristicAll Appraisals5,400,000.0
2020PurchaseNo CharacteristicAll Appraisals0.0
2020PurchaseNo CharacteristicAll Appraisals1.1
2020BothNo CharacteristicAll Appraisals158.0
2020PurchaseNo CharacteristicAll Appraisals30.0
2020PurchaseNo CharacteristicAll Appraisals0.7
2020BothNo CharacteristicAll Appraisals5,350,000.0
2020RefinanceNo CharacteristicAll Appraisals6,100,000.0
2020RefinanceNo CharacteristicAll Appraisals128.0
2020PurchaseNo CharacteristicAll Appraisals3,465,000.0
2020PurchaseNo CharacteristicAll Appraisals1.0
2020PurchaseNo CharacteristicAll Appraisals0.3
2019PurchaseNo CharacteristicAll Appraisals0.0
2019PurchaseNo CharacteristicAll Appraisals1.0
2019BothNo CharacteristicAll Appraisals5,600,000.0
2019PurchaseNo CharacteristicAll Appraisals28.0
2019PurchaseNo CharacteristicAll Appraisals0.5
2019PurchaseNo CharacteristicAll Appraisals1.0
2019RefinanceNo CharacteristicAll Appraisals5,700,000.0
2019BothNo CharacteristicAll Appraisals115.0
2019RefinanceNo CharacteristicAll Appraisals87.0
2019PurchaseNo CharacteristicAll Appraisals4,050,000.0
2019PurchaseNo CharacteristicAll Appraisals0.4
2018RefinanceNo CharacteristicAll Appraisals6,250,000.0
2018BothNo CharacteristicAll Appraisals75.0
2018PurchaseNo CharacteristicAll Appraisals26.0
2018RefinanceNo CharacteristicAll Appraisals49.0
2018BothNo CharacteristicAll Appraisals4,800,000.0
2018PurchaseNo CharacteristicAll Appraisals3,850,000.0
2018PurchaseNo CharacteristicAll Appraisals0.4
2018PurchaseNo CharacteristicAll Appraisals0.0
2018PurchaseNo CharacteristicAll Appraisals0.6
2018PurchaseNo CharacteristicAll Appraisals1.0
2018PurchaseNo CharacteristicAll Appraisals1.0
2017RefinanceNo CharacteristicAll Appraisals3,400,000.0
2017PurchaseNo CharacteristicAll Appraisals1.0
2017PurchaseNo CharacteristicAll Appraisals1.0
2017PurchaseNo CharacteristicAll Appraisals0.4
2017PurchaseNo CharacteristicAll Appraisals0.3
2017BothNo CharacteristicAll Appraisals58.0
2017PurchaseNo CharacteristicAll Appraisals22.0
2017PurchaseNo CharacteristicAll Appraisals3,100,000.0
2017RefinanceNo CharacteristicAll Appraisals36.0
2017PurchaseNo CharacteristicAll Appraisals0.3
2017BothNo CharacteristicAll Appraisals3,200,000.0
2016PurchaseNo CharacteristicAll Appraisals18.0
2016RefinanceNo CharacteristicAll Appraisals5,350,000.0
2016PurchaseNo CharacteristicAll Appraisals1.0
2016PurchaseNo CharacteristicAll Appraisals3,075,000.0
2016PurchaseNo CharacteristicAll Appraisals0.4
2016PurchaseNo CharacteristicAll Appraisals0.1
2016BothNo CharacteristicAll Appraisals5,000,000.0
2016PurchaseNo CharacteristicAll Appraisals1.0
2016PurchaseNo CharacteristicAll Appraisals0.4
2016BothNo CharacteristicAll Appraisals73.0
2016RefinanceNo CharacteristicAll Appraisals55.0
2015PurchaseNo CharacteristicAll Appraisals1.0
2015PurchaseNo CharacteristicAll Appraisals3,275,000.0
2015PurchaseNo CharacteristicAll Appraisals0.3
2015RefinanceNo CharacteristicAll Appraisals5,050,000.0
2015BothNo CharacteristicAll Appraisals66.0
2015RefinanceNo CharacteristicAll Appraisals48.0
2015PurchaseNo CharacteristicAll Appraisals0.1
2015PurchaseNo CharacteristicAll Appraisals0.7
2015PurchaseNo CharacteristicAll Appraisals18.0
2015BothNo CharacteristicAll Appraisals4,875,000.0
2015PurchaseNo CharacteristicAll Appraisals1.0
2014BothNo CharacteristicAll Appraisals4,725,000.0

ECONOMY & INCOME

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

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

BLS Local Area Unemployment

2026-05971,801929,75442,0474.3%
2026-04973,076930,94942,1274.3%
2026-03980,979937,09743,8824.5%
2026-02984,604930,88653,7185.5%
2026-01975,932927,53248,4005.0%
2025-12976,845929,90546,9404.8%
2025-11980,790931,01949,7715.1%
2025-09974,634922,72351,9115.3%
2025-08977,273924,48552,7885.4%
2025-07974,992923,10451,8885.3%
2025-06968,048922,93245,1164.7%
2025-05959,143918,89440,2494.2%
2025-04968,638928,16240,4764.2%
2025-03973,716932,22641,4904.3%
2025-02971,617930,85840,7594.2%
2025-01963,231921,35641,8754.3%
2024-12961,052920,83840,2144.2%
2024-11963,149919,88143,2684.5%
2024-10967,197922,50044,6974.6%
2024-09961,727918,32943,3984.5%
2024-08970,654920,10750,5475.2%
2024-07970,380918,38451,9965.4%
2024-06965,175919,21645,9594.8%
2024-05955,889914,52641,3634.3%
2024-04960,112919,94940,1634.2%
2024-03963,581921,81341,7684.3%
2024-02958,940915,82943,1114.5%
2024-01947,146906,36240,7844.3%
2023-12935,776896,75039,0264.2%
2023-11943,286903,87539,4114.2%
2023-10942,781898,70244,0794.7%
2023-09934,648892,48342,1654.5%
2023-08942,804896,73046,0744.9%
2023-07940,951897,05643,8954.7%
2023-06937,224893,83143,3934.6%
2023-05931,961891,78140,1804.3%
2023-04928,381890,24238,1394.1%
2023-03937,185895,61641,5694.4%
2023-02934,802890,59444,2084.7%
2023-01921,081879,08941,9924.6%
2022-12901,806863,96637,8404.2%
2022-11899,510861,90237,6084.2%
2022-10900,801862,86437,9374.2%
2022-09891,749856,94734,8023.9%
2022-08896,497856,66939,8284.4%
2022-07896,552854,73141,8214.7%
2022-06894,356852,05542,3014.7%
2022-05891,126851,42139,7054.5%
2022-04888,758846,78641,9724.7%
2022-03895,884849,79346,0915.1%
2022-02894,651843,28351,3685.7%
2022-01889,371833,23156,1406.3%
2021-12862,664810,01052,6546.1%
2021-11862,682809,57853,1046.2%
2021-10864,071805,86358,2086.7%
2021-09857,252796,13661,1167.1%
2021-08863,806793,39370,4138.2%
2021-07864,820791,05973,7618.5%
2021-06861,984786,43175,5538.8%
2021-05849,548780,56868,9808.1%
2021-04857,551781,45276,0998.9%
2021-03858,191780,52177,6709.1%
2021-02853,651769,69783,9549.8%
2021-01843,738757,32986,40910.2%
2020-12859,466777,12782,3399.6%
2020-11861,857775,90985,94810.0%
2020-10863,525772,31791,20810.6%
2020-09853,437754,50398,93411.6%
2020-08861,211756,697104,51412.1%
2020-07857,434737,499119,93514.0%
2020-06847,346731,647115,69913.7%
2020-05798,906664,431134,47516.8%
2020-04780,953708,25572,6989.3%
2020-03936,307891,13945,1684.8%
2020-02942,770906,89335,8773.8%
2020-01934,100899,12434,9763.7%
2019-12931,728903,03228,6963.1%
2019-11931,784901,19430,5903.3%
2019-10937,814904,52533,2893.5%
2019-09931,300900,24631,0543.3%
2019-08931,375896,55334,8223.7%
2019-07932,812897,07035,7423.8%
2019-06932,969898,84134,1283.7%
2019-05927,863895,01232,8513.5%
2019-04932,070900,68531,3853.4%
2019-03939,031904,37634,6553.7%
2019-02938,544900,97137,5734.0%
2019-01931,236890,86740,3694.3%
2018-12927,460892,94334,5173.7%
2018-11922,761890,14532,6163.5%
2018-10928,473894,43134,0423.7%
2018-09918,926885,53133,3953.6%
2018-08924,207888,30235,9053.9%
2018-07929,313892,54036,7734.0%
2018-06930,131893,54636,5853.9%
2018-05923,466892,77830,6883.3%
2018-04927,807894,45133,3563.6%
2018-03933,685897,52236,1633.9%
2018-02937,768899,72038,0484.1%
2018-01927,579888,91438,6654.2%

BEA Personal Income

2024$360.49B1,660,664$217K
2023$339.01B1,633,229$208K
2022$319.09B1,597,103$200K
2021$310.22B1,576,787$197K
2020$278.23B1,679,602$166K
2019$287.98B1,702,471$169K
2018$293.58B1,694,959$173K
2017$285.92B1,687,323$169K
2016$259.54B1,684,128$154K
2015$244.13B1,677,134$146K
2014$236.30B1,663,961$142K
2013$225.19B1,653,028$136K
2012$217.93B1,641,641$133K
2011$206.64B1,618,186$128K
2010$187.08B1,590,931$118K
2009$178.17B1,583,431$113K
2008$187.56B1,587,022$118K
2007$191.11B1,581,402$121K
2006$170.39B1,578,171$108K
2005$149.67B1,573,573$95K
2004$139.78B1,569,947$89K
2003$137.76B1,562,154$88K
2002$141.19B1,555,382$91K
2001$144.98B1,555,729$93K
2000$134.01B1,540,547$87K
1999$122.20B1,535,624$80K
1998$113.43B1,531,067$74K
1997$104.19B1,527,384$68K
1996$97.80B1,521,415$64K
1995$89.37B1,514,184$59K
1994$81.94B1,503,909$54K
1993$79.27B1,493,582$53K
1992$76.10B1,485,877$51K
1991——$46K

NFIP FLOOD CLAIMS

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

FEMA NFIP redacted claims (nfip_claim, county_code)

2026-01-03$0——No
2026-01-03$33K$33K$0No
2026-01-03$116K$116K$0No
2025-10-30$0——No
2025-10-30$0——No
2025-07-14$9K$9K$0Yes
2025-07-14$77K$77K$0No
2025-07-14$20K$20K$0No
2025-07-14$31K$30K$663.82Yes
2024-04-01$0$0$0No
2024-03-23$0——Yes
2024-03-23$0$0$0No
2023-11-22$18K$0$18KNo
2023-10-19$675.03$675.03$0No
2023-10-19$0$0$0No
2023-10-19$0$0$0No
2023-10-19$0$0$0No
2023-09-29$0$0$0No
2023-09-29$2K$0$2KYes
2023-09-29$0$0$0No
2023-09-29$0——No
2023-09-29$164K$164K$0No
2023-09-29$106K$106K$0No
2023-09-29$0——No
2023-09-29$21K$21K$0No
2023-09-29$0$0$0Yes
2023-09-29$7K$7K$0No
2023-09-29$129K$129K$0No
2023-09-29$3K$3K$0Yes
2023-09-29$67K$67K$0No
2023-09-29$16K$16K$0Yes
2023-09-29$0——No
2023-09-29$0$0$0No
2023-09-29$0——No
2023-09-29$12K$12K$0No
2023-09-29$143K$143K$0No
2023-09-29$39K$39K$0No
2023-09-29$18K$18K$0Yes
2023-09-29$14K$14K$0No
2023-09-29$59K$59K$0No
2023-09-29$0——No
2023-09-29$12K$12K$0No
2023-07-16$0——No
2023-07-16$0$0$0No
2023-07-16$500K$500K$0No
2023-04-30$0$0$0No
2023-03-03$0$0$0No
2022-12-28$7K$7K$0No
2022-10-09$0——No
2022-07-17$0$0$0No
2022-04-18$25K$25K$0No
2021-10-26$0$0$0No
2021-10-01$0——No
2021-09-14$5K$5K$0No
2021-09-07$0$0$0No
2021-09-06$23K$23K$0Yes
2021-09-03$29K$29K$0No
2021-09-03$0$0$0No
2021-09-02$0——No
2021-09-02$215K$215K$0No
2021-09-02$21K$21K$0No
2021-09-02$140K$140K$0No
2021-09-02$11K$11K$0No
2021-09-02$7K$7K$0No
2021-09-02$53K$53K$0No
2021-09-02$11K$11K$0No
2021-09-02$4K$4K$0No
2021-09-02$0——No
2021-09-02$11K$11K$0No
2021-09-02$144K$94K$50KNo
2021-09-02$0$0$0No
2021-09-02$0——No
2021-09-02$23K$23K$0No
2021-09-02$0$0$0No
2021-09-02$2K$2K$0Yes
2021-09-02$5K$5K$0No
2021-09-02$10K$10K$0No
2021-09-02$12K$12K$0No
2021-09-02$7K$7K$0No
2021-09-01$0$0$0No
2021-09-01$17K$17K$0No
2021-09-01$14K$0$14KNo
2021-09-01$5K$5K$0No
2021-09-01$23K$23K$0No
2021-09-01$0——Yes
2021-09-01$46K$46K$0Yes
2021-09-01$13K$11K$2KYes
2021-09-01$13K$13K$0Yes
2021-09-01$11K$11K$0No
2021-09-01$0——No
2021-09-01$17K$17K$0No
2021-09-01$31K$31K$0No
2021-09-01$0$0$0No
2021-09-01$0$0$0Yes
2021-09-01$48K$48K$0No
2021-09-01$0$0$0No
2021-09-01$36K$36K$0No
2021-09-01$87K$87K$0No
2021-09-01$0$0$0No
2021-09-01$0——Yes

ALSO CHECKED

18 more data areas were checked for New York 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 NEW YORK COUNTY →Opens the loan explorer already filtered to county FIPS 36061.

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.