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MortRadarTERMINAL
State markets/New York/Bronx County

COUNTY MORTGAGE MARKET · FIPS 36005

Bronx County, New York

Who lends in Bronx 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

$4.72B

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

Originations · 2025

3,990

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

Denial rate · 2025

25.0%

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

Lenders active · 2025

251

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

Concentration (HHI)

467

unconcentrated

Top-5 lender share

38.5%

of originations

Purchase

66.2%

2,311 loans

Refinance

33.8%

1,178 loans

Origination trend

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

Lenders in Bronx 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 Bronx 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 BRONX COUNTY

TOP TEN LENDERS IN BRONX 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.

6$756.4M$756.4M originated in Bronx County, 2025Share needs a county-wide denominator, which the narrower fallback source does not carry.
305$316.8M$316.8M originated in Bronx County, 2025Share needs a county-wide denominator, which the narrower fallback source does not carry.
85$314.1M$314.1M originated in Bronx County, 2025Share needs a county-wide denominator, which the narrower fallback source does not carry.
74$291.0M$291.0M originated in Bronx County, 2025Share needs a county-wide denominator, which the narrower fallback source does not carry.
1$139.8M$139.8M originated in Bronx County, 2025Share needs a county-wide denominator, which the narrower fallback source does not carry.
19$135.3M$135.3M originated in Bronx County, 2025Share needs a county-wide denominator, which the narrower fallback source does not carry.
213$133.0M$133.0M originated in Bronx County, 2025Share needs a county-wide denominator, which the narrower fallback source does not carry.
49$125.6M$125.6M originated in Bronx County, 2025Share needs a county-wide denominator, which the narrower fallback source does not carry.
21$116.6M$116.6M originated in Bronx County, 2025Share needs a county-wide denominator, which the narrower fallback source does not carry.
31$108.5M$108.5M originated in Bronx 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 Bronx County

All 28 ZIP Code Tabulation Areas that touch Bronx 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.
28 OF 28 ZIP AREASEVERY ZIP AREA TOUCHING THE COUNTY — NO ROWS WITHHELD
TOP LENDERRECORDS
2626 of the 29 Bronx County tracts this ZIP area touches sit mostly inside it.104,30592.2%5,105TRACTS →HMDA reports no ZIP. This opens the ZIP area's tract list, where each tract's records open exactly.
1818 of the 20 Bronx County tracts this ZIP area touches sit mostly inside it.92,43291.9%1,215TRACTS →HMDA reports no ZIP. This opens the ZIP area's tract list, where each tract's records open exactly.
2020 of the 28 Bronx County tracts this ZIP area touches sit mostly inside it.91,24398.1%1,622TRACTS →HMDA reports no ZIP. This opens the ZIP area's tract list, where each tract's records open exactly.
1919 of the 28 Bronx County tracts this ZIP area touches sit mostly inside it.81,32488.1%6,630TRACTS →HMDA reports no ZIP. This opens the ZIP area's tract list, where each tract's records open exactly.
1616 of the 19 Bronx County tracts this ZIP area touches sit mostly inside it.80,46096.0%2,440TRACTS →HMDA reports no ZIP. This opens the ZIP area's tract list, where each tract's records open exactly.
1717 of the 21 Bronx County tracts this ZIP area touches sit mostly inside it.77,53198.5%1,210TRACTS →HMDA reports no ZIP. This opens the ZIP area's tract list, where each tract's records open exactly.
1515 of the 19 Bronx County tracts this ZIP area touches sit mostly inside it.76,42698.3%737TRACTS →HMDA reports no ZIP. This opens the ZIP area's tract list, where each tract's records open exactly.
2222 of the 28 Bronx County tracts this ZIP area touches sit mostly inside it.73,59890.9%12,419TRACTS →HMDA reports no ZIP. This opens the ZIP area's tract list, where each tract's records open exactly.
1515 of the 19 Bronx County tracts this ZIP area touches sit mostly inside it.72,24597.7%3,625TRACTS →HMDA reports no ZIP. This opens the ZIP area's tract list, where each tract's records open exactly.
1919 of the 28 Bronx County tracts this ZIP area touches sit mostly inside it.71,38198.3%1,474TRACTS →HMDA reports no ZIP. This opens the ZIP area's tract list, where each tract's records open exactly.
2020 of the 25 Bronx County tracts this ZIP area touches sit mostly inside it.69,22697.2%9,244TRACTS →HMDA reports no ZIP. This opens the ZIP area's tract list, where each tract's records open exactly.
1515 of the 15 Bronx County tracts this ZIP area touches sit mostly inside it.63,23298.0%6,715TRACTS →HMDA reports no ZIP. This opens the ZIP area's tract list, where each tract's records open exactly.
1515 of the 19 Bronx County tracts this ZIP area touches sit mostly inside it.60,68273.3%8,137TRACTS →HMDA reports no ZIP. This opens the ZIP area's tract list, where each tract's records open exactly.
1515 of the 21 Bronx County tracts this ZIP area touches sit mostly inside it.58,80497.3%1,927TRACTS →HMDA reports no ZIP. This opens the ZIP area's tract list, where each tract's records open exactly.
1111 of the 15 Bronx County tracts this ZIP area touches sit mostly inside it.57,31797.0%2,563TRACTS →HMDA reports no ZIP. This opens the ZIP area's tract list, where each tract's records open exactly.
1616 of the 20 Bronx County tracts this ZIP area touches sit mostly inside it.55,49168.8%6,239TRACTS →HMDA reports no ZIP. This opens the ZIP area's tract list, where each tract's records open exactly.
1212 of the 20 Bronx County tracts this ZIP area touches sit mostly inside it.47,87398.3%1,665TRACTS →HMDA reports no ZIP. This opens the ZIP area's tract list, where each tract's records open exactly.
1616 of the 18 Bronx County tracts this ZIP area touches sit mostly inside it.46,93662.1%8,853TRACTS →HMDA reports no ZIP. This opens the ZIP area's tract list, where each tract's records open exactly.
1010 of the 15 Bronx County tracts this ZIP area touches sit mostly inside it.45,49897.9%1,874TRACTS →HMDA reports no ZIP. This opens the ZIP area's tract list, where each tract's records open exactly.
88 of the 10 Bronx County tracts this ZIP area touches sit mostly inside it.41,07695.3%8,356TRACTS →HMDA reports no ZIP. This opens the ZIP area's tract list, where each tract's records open exactly.
1010 of the 14 Bronx County tracts this ZIP area touches sit mostly inside it.33,60496.9%588TRACTS →HMDA reports no ZIP. This opens the ZIP area's tract list, where each tract's records open exactly.
99 of the 10 Bronx County tracts this ZIP area touches sit mostly inside it.30,02444.2%5,775TRACTS →HMDA reports no ZIP. This opens the ZIP area's tract list, where each tract's records open exactly.
77 of the 10 Bronx County tracts this ZIP area touches sit mostly inside it.17,35366.7%2,545TRACTS →HMDA reports no ZIP. This opens the ZIP area's tract list, where each tract's records open exactly.
55 of the 5 Bronx County tracts this ZIP area touches sit mostly inside it.11,50198.7%215TRACTS →HMDA reports no ZIP. This opens the ZIP area's tract list, where each tract's records open exactly.
22 of the 3 Bronx County tracts this ZIP area touches sit mostly inside it.4,50839.3%1,158TRACTS →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 Bronx 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 Bronx 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.
11 of the 1 Bronx County tract this ZIP area touches sit mostly inside it.OPEN →This ZIP area is one census tract here, so its records open directly and exactly.

359 of Bronx County’s 361 census tracts are grouped into the ZIP areas above; the other 2 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 Bronx County

All 361 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.

361 OF 361 TRACTSEVERY TRACT IN THE COUNTY — NO ROWS WITHHELD
TOP LENDERRECORDS
0.0%OPEN →
Middle81.5%4,77996.8%OPEN →
Middle114.6%6,27296.2%OPEN →
Moderate51.0%5,79597.9%OPEN →
Middle88.0%2,29289.1%OPEN →
Moderate73.9%1,61389.8%OPEN →
0.0%2100.0%OPEN →
0.0%OPEN →
Low27.4%5,00798.6%OPEN →
Moderate57.8%4,58498.6%OPEN →
Low38.1%OPEN →
0.0%OPEN →
Low44.3%5,44298.1%OPEN →
Low21.2%3,08098.9%OPEN →
Low20.7%4,99598.1%OPEN →
Moderate67.2%5,85398.5%OPEN →
Moderate55.6%2,96498.8%OPEN →
Low28.9%3,68998.5%OPEN →
Low34.4%3,72696.7%OPEN →
Moderate60.3%34098.5%OPEN →
0.0%1,68398.9%OPEN →
Low42.7%6,34596.1%OPEN →
Middle95.9%1,73992.8%OPEN →
Low41.9%6,14698.5%OPEN →
Middle96.1%7,20198.8%OPEN →
Low39.0%5,88397.8%OPEN →
Low27.5%4,64298.1%OPEN →
Low42.8%1,97697.3%OPEN →
Low49.8%4,18498.5%OPEN →
Low40.2%4,96098.4%OPEN →
Low40.9%6,51898.4%OPEN →
Low24.6%6,45997.5%OPEN →
Low33.8%2,13099.1%OPEN →
Low22.5%4,37199.1%OPEN →
Low45.8%6,80498.8%OPEN →
Moderate63.2%2,86399.0%OPEN →
Low41.9%2,57791.3%OPEN →
Low48.7%1,26298.7%OPEN →
Middle94.4%3,44499.0%OPEN →
Low42.2%6,76998.5%OPEN →
Moderate54.6%6,56795.1%OPEN →
0.0%OPEN →
Moderate58.5%4,18697.5%OPEN →
Low26.3%6,25196.4%OPEN →
Low24.5%6,89398.3%OPEN →
Moderate54.3%3,41998.3%OPEN →
Low49.0%6,96498.2%OPEN →
Moderate62.6%5,02197.9%OPEN →
Moderate70.3%2,78997.6%OPEN →
Moderate52.0%6,29195.1%OPEN →
Low31.1%4,20598.1%OPEN →
Moderate67.8%3,53698.4%OPEN →
Low44.5%6,74997.0%OPEN →
Moderate66.5%5,68297.0%OPEN →
Moderate59.0%1,97496.9%OPEN →
Middle85.2%7,03796.7%OPEN →
Low36.8%6,82698.5%OPEN →
Moderate52.7%6,12298.8%OPEN →
Middle101.0%2,58798.7%OPEN →
Low37.4%5,89497.6%OPEN →
Low33.4%4,14599.2%OPEN →
Low37.9%5,97698.6%OPEN →
Low47.3%3,11897.2%OPEN →
Low38.6%3,91198.5%OPEN →
Moderate58.8%6,27193.9%OPEN →
Low48.7%5,55198.5%OPEN →
0.0%OPEN →
Moderate73.8%2,94693.5%OPEN →
Middle84.6%5,90397.1%OPEN →
0.0%153100.0%OPEN →
Low30.9%4,39699.0%OPEN →
Low35.5%1,55499.0%OPEN →
0.0%OPEN →
Upper124.3%5,32437.3%OPEN →
Low44.8%5,70397.8%OPEN →
Moderate53.4%3,31998.4%OPEN →
Low29.5%1,61698.8%OPEN →
Moderate51.9%4,76698.7%OPEN →
Low42.8%4,13998.2%OPEN →
Low46.1%2,18498.4%OPEN →
Low40.0%4,92398.3%OPEN →
Upper140.9%1,19870.9%OPEN →
Low44.6%5,39098.0%OPEN →
Upper169.7%6,65276.3%OPEN →
Moderate69.1%6,06498.9%OPEN →
Low47.3%4,00198.8%OPEN →
Middle81.1%3,06046.0%OPEN →
Low43.3%7,34498.0%OPEN →
Moderate53.1%1,89896.7%OPEN →
Low31.1%6,04696.3%OPEN →
Low27.5%7,05598.4%OPEN →
Low37.4%7,02398.8%OPEN →
Low43.0%5,24399.6%OPEN →
Low38.9%4,72397.8%OPEN →
Low31.4%5,95797.9%OPEN →
Middle89.6%2,59374.4%OPEN →
Low39.6%4,25898.3%OPEN →
Low39.2%2,89198.9%OPEN →
Low45.3%5,54298.6%OPEN →
Middle86.6%1,44264.4%OPEN →
Moderate73.9%2,48199.1%OPEN →
Middle99.7%4,00351.4%OPEN →
Low25.2%5,24397.8%OPEN →
Middle104.1%1,90862.9%OPEN →
0.0%OPEN →
Middle97.9%1,22157.2%OPEN →
Low31.9%1,09798.5%OPEN →
Middle111.0%2,62578.8%OPEN →
Low40.4%3,37398.1%OPEN →
Moderate62.7%1,58698.7%OPEN →
0.0%OPEN →
Low42.7%6,39598.5%OPEN →
Low43.6%6,98898.0%OPEN →
Low25.2%4,75495.3%OPEN →
Moderate50.6%4,97998.7%OPEN →
Moderate51.3%5,12498.7%OPEN →
Moderate59.2%3,44798.5%OPEN →
Moderate53.1%3,29997.8%OPEN →
Low43.2%5,51097.6%OPEN →
Moderate79.5%4,42394.1%OPEN →
Moderate50.4%3,68698.8%OPEN →
Upper120.8%4,32958.3%OPEN →
Moderate56.6%3,07697.7%OPEN →
Low26.0%6,44297.8%OPEN →
Low41.5%8,36097.3%OPEN →
Low49.6%6,02098.4%OPEN →
Moderate77.1%2,02285.0%OPEN →
Moderate50.9%7,50997.3%OPEN →
Low41.2%7,21399.2%OPEN →
Low46.9%7,90998.3%OPEN →
Moderate54.0%5,23594.7%OPEN →
Moderate51.2%4,34597.7%OPEN →
Moderate61.3%2,78991.4%OPEN →
Moderate60.9%3,12993.7%OPEN →
Low28.0%7,85998.7%OPEN →
Moderate52.4%2,46298.3%OPEN →
Moderate78.1%3,27792.6%OPEN →
Moderate51.8%4,82397.8%OPEN →
Middle86.0%8,94697.4%OPEN →
Moderate75.4%7,85597.6%OPEN →
Low42.9%5,82298.6%OPEN →
Middle100.7%6,59697.8%OPEN →
Moderate57.6%1,26498.6%OPEN →
Low33.3%5,83099.3%OPEN →
Moderate61.7%4,07898.8%OPEN →
Low34.6%6,36098.4%OPEN →
Moderate52.4%4,70193.5%OPEN →
Moderate67.1%6,23797.3%OPEN →
Moderate57.0%5,00697.6%OPEN →
Moderate65.8%6,61096.9%OPEN →
Moderate56.0%1,17697.3%OPEN →
Low44.9%2,51196.7%OPEN →
Moderate55.8%4,00199.2%OPEN →
Low35.9%5,45799.0%OPEN →
Moderate64.1%3,96895.6%OPEN →
Low35.6%5,06398.5%OPEN →
Moderate69.7%2,78788.0%OPEN →
Middle97.4%3,27587.4%OPEN →
Moderate77.4%4,48983.5%OPEN →
Moderate58.4%8,14198.5%OPEN →
Low44.5%5,66998.8%OPEN →
Low43.9%1,63497.9%OPEN →
Moderate62.9%1,69997.7%OPEN →
Moderate77.7%6,33681.3%OPEN →
Moderate53.8%5,76697.8%OPEN →
Low45.9%3,40198.6%OPEN →
Moderate60.9%3,00181.7%OPEN →
Moderate55.6%1,46499.3%OPEN →
Moderate68.7%3,00076.8%OPEN →
Moderate51.9%4,57798.3%OPEN →
Low48.3%3,57498.8%OPEN →
Low29.1%3,57099.1%OPEN →
Moderate60.2%4,41798.9%OPEN →
Moderate73.2%2,20477.5%OPEN →
Moderate61.7%1,17997.7%OPEN →
Low29.3%5,08697.2%OPEN →
Low21.5%3,97098.7%OPEN →
Moderate77.1%2,75076.2%OPEN →
Low49.4%8,21399.0%OPEN →
Moderate68.5%4,58391.5%OPEN →
Low49.9%6,33198.4%OPEN →
Low39.6%5,57798.3%OPEN →
Moderate75.0%2,40763.5%OPEN →
Low38.4%5,05998.5%OPEN →
Low35.8%3,79799.3%OPEN →
Middle110.4%2,29762.4%OPEN →
Moderate56.3%1,92197.2%OPEN →
Middle89.9%3,62058.3%OPEN →
0.0%OPEN →
Middle114.5%2,67247.7%OPEN →
Moderate52.6%6,92498.6%OPEN →
Middle105.9%2,68257.9%OPEN →
Moderate56.9%6,23498.4%OPEN →
Middle103.0%2,16352.9%OPEN →
Moderate58.6%8,09293.3%OPEN →
Moderate69.2%1,90875.6%OPEN →
Moderate62.4%1,80997.4%OPEN →
Moderate75.8%2,06093.2%OPEN →
Low44.4%6,78895.8%OPEN →
Moderate70.5%5,69365.5%OPEN →
Moderate67.8%7,16697.0%OPEN →
Middle91.3%3,32867.1%OPEN →
Moderate62.4%6,40971.0%OPEN →
Moderate64.1%3,98396.0%OPEN →
Low42.4%7,02295.9%OPEN →
Moderate61.3%4,12696.2%OPEN →
Low48.7%7,93993.4%OPEN →
Upper125.9%5,13640.3%OPEN →
Upper136.7%3,55332.7%OPEN →
Low2.9%OPEN →
Low37.6%4,96892.0%OPEN →
Moderate62.9%8,14584.3%OPEN →
Middle106.9%3,72070.7%OPEN →
Moderate50.7%2,08493.2%OPEN →
0.0%29781.1%OPEN →
Middle90.0%3,44059.8%OPEN →
Middle119.4%1,39555.6%OPEN →
Moderate71.7%3,95383.0%OPEN →
Middle94.7%3,05540.0%OPEN →
Moderate59.0%4,73682.7%OPEN →
Upper223.0%1,95435.3%OPEN →
Upper141.6%5,24842.2%OPEN →
Upper147.9%4,61551.5%OPEN →
Moderate67.9%2,87867.5%OPEN →
Upper150.5%4,00541.6%OPEN →
Middle101.8%6,59168.7%OPEN →
Upper166.2%1,62749.4%OPEN →
Moderate72.3%4,04894.8%OPEN →
Middle81.2%6,06396.6%OPEN →
Upper257.5%5,79931.1%OPEN →
Upper173.4%3,94733.4%OPEN →
Upper130.9%4,37272.3%OPEN →
Upper146.8%1,55568.9%OPEN →
Upper141.7%2,07169.8%OPEN →
Middle87.4%2,07167.5%OPEN →
Upper160.5%1,96170.1%OPEN →
0.0%OPEN →
Middle101.7%5,00145.3%OPEN →
Low37.8%3,11385.9%OPEN →
Middle108.5%3,49468.5%OPEN →
Low48.8%4,13382.4%OPEN →
Moderate54.7%5,83771.4%OPEN →
Moderate59.2%4,10384.7%OPEN →
Middle81.3%4,20489.1%OPEN →
0.0%6991.3%OPEN →
Upper180.9%2,44035.3%OPEN →
Moderate56.8%4,30697.3%OPEN →
Moderate60.1%1,55594.1%OPEN →
Upper127.8%3,83845.4%OPEN →
Moderate72.8%2,33792.8%OPEN →
Low43.4%1,73795.5%OPEN →
Moderate68.3%4,85891.3%OPEN →
Moderate73.8%1,73294.0%OPEN →
Middle106.1%1,70664.5%OPEN →
Moderate73.7%1,93095.0%OPEN →
Upper157.6%3,75461.6%OPEN →
Moderate59.3%6,64095.9%OPEN →
Middle109.6%2,28495.2%OPEN →
Middle95.4%3,53952.5%OPEN →
Middle116.7%2,26196.5%OPEN →
Middle98.2%7,54298.7%OPEN →
Low30.0%3,73198.4%OPEN →
Middle106.1%3,02488.7%OPEN →
Low32.0%5,56999.3%OPEN →
Low31.0%7,07498.7%OPEN →
Middle85.6%2,60398.7%OPEN →
Low43.7%3,89799.3%OPEN →
Low44.5%2,44997.9%OPEN →
Low40.9%2,67297.3%OPEN →
Moderate79.0%2,16598.7%OPEN →
Low29.0%1,91098.6%OPEN →
Low21.0%2,32497.8%OPEN →
Middle96.0%2,53698.0%OPEN →
Moderate55.5%4,50498.5%OPEN →
Moderate74.6%2,28997.1%OPEN →
Moderate51.2%6,11798.2%OPEN →
Low42.4%3,89097.6%OPEN →
Low28.5%4,02397.2%OPEN →
Middle90.0%2,27494.5%OPEN →
Moderate68.3%3,56996.6%OPEN →
Low41.2%6,87898.2%OPEN →
Low41.8%4,93897.8%OPEN →
Low43.6%6,85398.4%OPEN →
Middle86.3%2,85298.3%OPEN →
Moderate55.4%4,63598.2%OPEN →
Low37.6%3,46899.0%OPEN →
Low24.2%2,50897.6%OPEN →
Low26.9%5,36297.7%OPEN →
Middle81.6%7,94999.0%OPEN →
Low43.4%3,40189.6%OPEN →
Middle88.0%2,94198.4%OPEN →
Moderate55.8%4,81981.0%OPEN →
Middle80.8%3,32398.4%OPEN →
Moderate54.8%7,21092.2%OPEN →
Moderate77.0%1,80998.0%OPEN →
Low39.8%8,03396.8%OPEN →
Moderate65.1%4,64796.8%OPEN →
Low44.5%4,25498.1%OPEN →
Moderate57.8%4,48598.7%OPEN →
Moderate53.3%4,49245.3%OPEN →
Moderate64.3%3,34798.4%OPEN →
Low44.3%5,25497.0%OPEN →
Moderate51.8%5,54898.2%OPEN →
Low42.3%5,00996.8%OPEN →
Low35.6%4,19798.2%OPEN →
Low45.1%4,84397.3%OPEN →
Low38.8%4,12597.4%OPEN →
Middle118.9%3,53098.9%OPEN →
Low44.7%4,38597.5%OPEN →
Moderate53.9%7,32097.6%OPEN →
Moderate53.1%3,79298.4%OPEN →
Moderate50.7%3,23593.7%OPEN →
Low44.3%6,96892.6%OPEN →
Moderate54.4%4,47597.5%OPEN →
Moderate74.1%3,58088.3%OPEN →
Low49.6%3,21592.7%OPEN →
Moderate71.3%7,78189.0%OPEN →
Middle86.1%5,34296.3%OPEN →
Low46.0%5,87289.3%OPEN →
Middle80.0%3,75295.6%OPEN →
Low44.5%7,20592.1%OPEN →
Moderate52.9%3,90597.5%OPEN →
Low44.3%6,13592.4%OPEN →
Middle81.8%3,21197.4%OPEN →
Moderate56.9%4,17989.7%OPEN →
Middle95.3%2,55396.9%OPEN →
Moderate60.8%7,66791.0%OPEN →
Middle113.6%6,98298.7%OPEN →
Upper139.1%2,23098.3%OPEN →
Low37.7%3,71193.4%OPEN →
Low49.0%4,33494.1%OPEN →
Middle85.1%2,95297.7%OPEN →
Low42.1%5,18595.5%OPEN →
Low36.7%5,05096.0%OPEN →
Middle102.3%3,64995.1%OPEN →
Low40.0%1,19298.9%OPEN →
0.0%OPEN →
0.0%12276.2%OPEN →
Middle85.8%2,06197.3%OPEN →
0.0%3,87798.7%OPEN →
Middle96.8%3,98497.5%OPEN →
Upper129.0%2,00798.5%OPEN →
Middle115.3%1,94630.7%OPEN →
Middle109.7%2,22932.8%OPEN →
Middle107.6%1,81732.4%OPEN →
Middle109.0%2,14232.3%OPEN →
Upper128.9%3,05685.8%OPEN →
Low33.7%5,66299.2%OPEN →
Moderate58.1%2,89098.5%OPEN →
Moderate54.9%6,59993.7%OPEN →
Middle94.4%5,55294.1%OPEN →
Moderate66.3%4,44594.7%OPEN →
Middle119.4%4,43495.6%OPEN →
Middle88.3%6,22894.5%OPEN →
Moderate78.5%5,15597.6%OPEN →
Low47.9%3,70799.5%OPEN →
Upper123.8%3,88898.3%OPEN →
0.0%OPEN →
0.0%63100.0%OPEN →
Upper137.0%4,44538.5%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

1,404,779

Median household income

$48,676

Median home value

$529,500

Median gross rent

$1,458

per month

Owner-occupied

20.1%

of occupied units

Housing units

559,415

4.5% vacant

Poverty rate

27.8%

Unemployment

11.4%

Natural-hazard exposure

FEMA National Risk Index ratings for this county — expected annual loss, social vulnerability and community resilience, plus the individual perils rated Relatively High or above.

Overall risk

Relatively High

score 98.3

Social vulnerability

Very High

Community resilience

Very Low

ELEVATED PERILS

Inland flooding Relatively High · Coastal flooding Relatively 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

69

Declarations recorded

20

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

Everything we hold on Bronx 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 Bronx County.

HMDA loan-level (hmda_loan_wide, county_code)

Open the loan explorer for Bronx CountyEvery reported application and origination in FIPS 36005, filterable on rate, amount, income, purpose and action taken. Loan-level tier.

VA

VA-guaranteed lending in Bronx 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

31

Purchase share

77.4%

24 loans

IRRRL refinances

5

Cash-out refinances

2

2026312452
20253714716
2024302019
20233927012
2022512223
2021149427730
2020115374236
20195623429
20187632935
201792392330
201690442521
201575381522

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 Bronx 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

Bronx 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

4

−50.0% vs 2024

Multifamily · 2025

6,028

−12.9% vs 2024

Total authorized · 2025

6,032

−12.9% vs 2024

Permit valuation · 2025

$1B

authorized construction value

Units authorized by year

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

UNITS · SF IN TOOLTIP
02.5K5K7.5K10K19901992199419961998200020022004200620082010201220142016201820202022202420256,032 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 Bronx County, showing population movement and wealth transfer.

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

inflow2223New York County, NY5,8179,905$280.2M
outflow2223Westchester County, NY5,1188,951$357.8M
outflow2223New York County, NY4,6917,900$215.8M
outflow2223Queens County, NY2,7294,634$128.7M
inflow2223Kings County, NY2,4804,194$102.7M
outflow2223Kings County, NY2,3563,950$90.9M
inflow2223Westchester County, NY2,2323,707$119.8M
inflow2223Queens County, NY2,1733,638$95.2M
outflow2223Other flows - South, DS1,3402,368$59.0M
inflow2223Other flows - South, DS1,1371,961$36.8M
outflow2223Bergen County, NJ1,0341,991$67.2M
outflow2223Orange County, NY8441,559$59.0M
outflow2223Essex County, NJ8311,505$44.1M
outflow2223Hudson County, NJ7331,210$35.1M
outflow2223Greater Bridgeport Planning Regio, CT6641,341$37.7M
outflow2223Passaic County, NJ6411,204$25.6M
outflow2223Other flows - Midwest, DS557947$23.2M
outflow2223Naugatuck Valley Planning Region, CT5391,099$26.5M
outflow2223Western Connecticut Planning Regi, CT533950$36.9M
outflow2223Luzerne County, PA448924$12.4M
outflow2223Rockland County, NY438825$38.3M
outflow2223Dutchess County, NY437854$31.9M
outflow2223Lehigh County, PA431823$14.3M
outflow2223Nassau County, NY415721$31.3M
outflow2223Orange County, FL409728$17.8M
inflow2223Essex County, NJ394721$13.0M
inflow2223Hudson County, NJ388631$17.0M
outflow2223Suffolk County, NY387641$26.4M
outflow2223Philadelphia County, PA385675$11.6M
inflow2223Bergen County, NJ376622$20.6M
inflow2223Other flows - Northeast, DS357556$13.6M
outflow2223South Central Connecticut Plannin, CT355709$19.2M
inflow2223Other flows - West, DS351539$17.6M
outflow2223Middlesex County, NJ351636$18.2M
outflow2223Broward County, FL351570$17.1M
inflow2223Other flows - Midwest, DS351557$12.4M
outflow2223Other flows - West, DS343516$22.0M
outflow2223Union County, NJ335629$17.7M
outflow2223Other flows - Northeast, DS331560$19.6M
outflow2223Miami-Dade County, FL309506$14.0M
outflow2223Berks County, PA301616$9.4M
inflow2223Nassau County, NY287404$14.3M
outflow2223Osceola County, FL278538$12.0M
outflow2223Richmond County, NY269514$10.1M
outflow2223Putnam County, NY255488$21.8M
inflow2223Orange County, NY254416$11.4M
outflow2223Hillsborough County, FL249457$10.5M
outflow2223Harris County, TX248439$11.5M
inflow2223Passaic County, NJ245455$7.7M
inflow2223Suffolk County, NY233385$11.5M
outflow2223Mecklenburg County, NC232401$9.9M
outflow2223Capitol Planning Region, CT228435$9.2M
outflow2223Polk County, FL220411$9.6M
outflow2223Erie County, NY217515$7.8M
inflow2223Richmond County, NY203358$7.2M
outflow2223Providence County, RI199349$6.6M
inflow2223Western Connecticut Planning Regi, CT195317$11.3M
inflow2223Greater Bridgeport Planning Regio, CT186353$8.4M
inflow2223Rockland County, NY183262$9.9M
inflow2223Miami-Dade County, FL179296$7.5M
outflow2223Palm Beach County, FL176301$12.6M
outflow2223Foreign - Puerto Rico, FR174230$2.5M
outflow2223Monroe County, PA171346$10.6M
outflow2223Franklin County, OH170326$5.0M
outflow2223Albany County, NY169280$6.1M
outflow2223Essex County, MA166316$4.7M
outflow2223Gwinnett County, GA165329$5.5M
inflow2223Foreign - Puerto Rico, FR162280$2.5M
inflow2223Philadelphia County, PA162302$5.8M
inflow2223Orange County, FL158281$5.0M
outflow2223Los Angeles County, CA153211$7.2M
inflow2223Naugatuck Valley Planning Region, CT149268$5.4M
inflow2223Middlesex County, NJ144241$5.7M
inflow2223Luzerne County, PA142294$3.0M
inflow2223Broward County, FL137223$4.9M
outflow2223Camden County, NJ137242$5.7M
outflow2223Fulton County, GA130209$7.3M
outflow2223Wake County, NC129258$6.4M
inflow2223Dutchess County, NY126229$7.3M
outflow2223Dauphin County, PA120254$4.1M
inflow2223Harris County, TX119217$4.0M
outflow2223Northampton County, PA117217$4.9M
inflow2223Lehigh County, PA117239$2.9M
outflow2223Foreign - Overseas, FR115184$6.5M
inflow2223Los Angeles County, CA114148$4.8M
outflow2223Mercer County, NJ105215$5.0M
inflow2223South Central Connecticut Plannin, CT105184$5.0M
outflow2223Prince George's County, MD103160$4.6M
inflow2223Union County, NJ103177$3.8M
outflow2223York County, PA102188$3.0M
inflow2223Berks County, PA101201$2.3M
outflow2223Dallas County, TX101176$5.2M
outflow2223Lackawanna County, PA100198$2.8M
outflow2223Montgomery County, MD98143$4.8M
inflow2223Capitol Planning Region, CT97163$3.6M
outflow2223Suffolk County, MA95123$3.9M
outflow2223Duval County, FL94183$4.4M
inflow2223Albany County, NY90145$3.0M
outflow2223Maricopa County, AZ89137$4.5M
inflow2223Hillsborough County, FL88150$2.7M
outflow2223Seminole County, FL88163$3.6M
outflow2223New Castle County, DE88170$3.6M
outflow2223Cook County, IL87148$3.9M
outflow2223Worcester County, MA87164$3.0M
inflow2223Monroe County, PA86139$3.5M
inflow2223Erie County, NY85146$3.1M
outflow2223Baltimore County, MD85142$4.0M
outflow2223Lake County, FL85151$4.8M
outflow2223District of Columbia, DC85100$4.3M
outflow2223St. Lucie County, FL84146$6.4M
outflow2223DeKalb County, GA82138$3.7M
outflow2223Middlesex County, MA81121$5.1M
inflow2223Osceola County, FL79134$1.9M
outflow2223Burlington County, NJ79144$3.7M
outflow2223Pasco County, FL78127$3.8M
outflow2223Monroe County, NY77132$3.0M
inflow2223Mecklenburg County, NC77119$3.5M
outflow2223Morris County, NJ77141$5.3M
outflow2223San Diego County, CA76103$3.8M
outflow2223Cobb County, GA76125$2.7M
inflow2223Providence County, RI76130$2.0M
outflow2223Lancaster County, PA75130$2.7M
inflow2223Putnam County, NY75130$4.1M
inflow2223Essex County, MA75116$2.3M
outflow2223Sullivan County, NY73138$4.5M
inflow2223Palm Beach County, FL72107$2.4M
outflow2223Ulster County, NY70114$5.6M
outflow2223Marion County, FL68144$3.6M
inflow2223Gwinnett County, GA68121$1.6M
outflow2223Volusia County, FL68117$2.9M
outflow2223Clayton County, GA68124$2.3M
outflow2223Schenectady County, NY65126$2.5M
outflow2223Wayne County, MI65153$2.2M
outflow2223Brevard County, FL65120$3.3M
outflow2223Clark County, NV64104$3.0M
outflow2223Broome County, NY64134$2.8M
inflow2223Cook County, IL6396$4.2M
outflow2223Lee County, FL63105$4.1M
outflow2223King County, WA6291$3.6M
inflow2223Polk County, FL62116$2.1M
outflow2223Marion County, IN61110$2.0M
outflow2223Hampden County, MA61134$1.6M
outflow2223Monmouth County, NJ6198$5.5M
outflow2223Delaware County, PA61129$2.2M
outflow2223Onondaga County, NY6085$2.6M
outflow2223Guilford County, NC60112$1.7M
outflow2223Lebanon County, PA59102$1.7M
outflow2223Schuylkill County, PA59130$1.9M
outflow2223Henry County, GA59106$2.7M
outflow2223Baltimore city, MD59118$3.1M
outflow2223Somerset County, NJ5996$4.4M
outflow2223Oneida County, NY57110$1.8M
outflow2223Tarrant County, TX5697$2.7M
inflow2223Suffolk County, MA5677$3.0M
outflow2223Bexar County, TX5594$2.6M
inflow2223Foreign - Overseas, FR5486$2.9M
outflow2223Ocean County, NJ5494$6.5M
outflow2223Pinellas County, FL5284$2.7M
outflow2223Travis County, TX5276$2.8M
inflow2223Franklin County, OH5292$1.9M
inflow2223Maricopa County, AZ5082$1.6M
inflow2223San Diego County, CA4972$2.1M
outflow2223Foreign - Other flows, FR4963$1.7M
outflow2223Cumberland County, NC4996$1.5M
outflow2223Cuyahoga County, OH4788$1.5M
inflow2223Northampton County, PA4784$1.5M
outflow2223Collin County, TX4790$2.8M
inflow2223Wake County, NC4578$1.4M
inflow2223Mercer County, NJ4576$1.5M
inflow2223Prince George's County, MD4570$1.7M
outflow2223Sussex County, NJ4484$2.8M
inflow2223Fulton County, GA4482$1.2M
inflow2223Worcester County, MA4468$1.4M
inflow2223Camden County, NJ4470$1.7M
outflow2223Southeastern Connecticut Planning, CT4475$1.7M
outflow2223Virginia Beach city, VA4470$1.4M
outflow2223Atlantic County, NJ4379$1.2M
outflow2223Rensselaer County, NY4370$1.5M
outflow2223Macomb County, MI43102$1.5M
inflow2223Seminole County, FL4376$1.0M
inflow2223Dauphin County, PA4268$844K
inflow2223Monroe County, NY4276$2.0M
outflow2223Kent County, DE4275$2.6M
inflow2223DeKalb County, GA4163$1.2M
outflow2223Montgomery County, PA4176$2.2M
outflow2223Horry County, SC3968$2.7M
outflow2223Allegheny County, PA3949$1.6M
outflow2223Bell County, TX3957$1.3M
inflow2223Montgomery County, MD3958$1.8M
inflow2223Ulster County, NY3864$2.2M
outflow2223Orange County, CA3851$1.9M
outflow2223Richland County, SC3764$2.7M
outflow2223Pike County, PA3763$3.0M
inflow2223Somerset County, NJ3757$1.5M
outflow2223Fort Bend County, TX3787$2.3M
outflow2223Hamilton County, OH3667$1.4M
inflow2223Onondaga County, NY3651$1.5M
outflow2223Onslow County, NC3566$1.5M
inflow2223Broome County, NY3555$785K
inflow2223Middlesex County, MA3550$2.2M

UAD APPRAISALS

FHFA Uniform Appraisal Dataset aggregates for Bronx County.

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

2023PurchaseNo CharacteristicAll Appraisals536.0
2023PurchaseNo CharacteristicAll Appraisals0.4
2023RefinanceNo CharacteristicAll Appraisals142.0
2023PurchaseNo CharacteristicAll Appraisals1.0
2023BothNo CharacteristicAll Appraisals678.0
2023PurchaseNo CharacteristicAll Appraisals0.5
2023PurchaseNo CharacteristicAll Appraisals1.0
2023RefinanceNo CharacteristicAll Appraisals637,500.0
2023BothNo CharacteristicAll Appraisals625,000.0
2023PurchaseNo CharacteristicAll Appraisals625,000.0
2023PurchaseNo CharacteristicAll Appraisals0.1
2022PurchaseNo CharacteristicAll Appraisals1.0
2022BothNo CharacteristicAll Appraisals625,000.0
2022PurchaseNo CharacteristicAll Appraisals0.4
2022PurchaseNo CharacteristicAll Appraisals625,000.0
2022PurchaseNo CharacteristicAll Appraisals1.0
2022RefinanceNo CharacteristicAll Appraisals369.0
2022PurchaseNo CharacteristicAll Appraisals0.1
2022PurchaseNo CharacteristicAll Appraisals0.5
2022RefinanceNo CharacteristicAll Appraisals610,000.0
2022BothNo CharacteristicAll Appraisals1,018.0
2022PurchaseNo CharacteristicAll Appraisals649.0
2021PurchaseNo CharacteristicAll Appraisals1.0
2021RefinanceNo CharacteristicAll Appraisals570,000.0
2021BothNo CharacteristicAll Appraisals1,590.0
2021PurchaseNo CharacteristicAll Appraisals1.0
2021PurchaseNo CharacteristicAll Appraisals746.0
2021PurchaseNo CharacteristicAll Appraisals0.4
2021RefinanceNo CharacteristicAll Appraisals844.0
2021PurchaseNo CharacteristicAll Appraisals0.1
2021BothNo CharacteristicAll Appraisals585,000.0
2021PurchaseNo CharacteristicAll Appraisals0.4
2021PurchaseNo CharacteristicAll Appraisals600,000.0
2020PurchaseNo CharacteristicAll Appraisals0.1
2020PurchaseNo CharacteristicAll Appraisals1.0
2020BothNo CharacteristicAll Appraisals1,588.0
2020PurchaseNo CharacteristicAll Appraisals573.0
2020PurchaseNo CharacteristicAll Appraisals0.5
2020BothNo CharacteristicAll Appraisals545,000.0
2020RefinanceNo CharacteristicAll Appraisals540,000.0
2020RefinanceNo CharacteristicAll Appraisals1,015.0
2020PurchaseNo CharacteristicAll Appraisals550,000.0
2020PurchaseNo CharacteristicAll Appraisals1.0
2020PurchaseNo CharacteristicAll Appraisals0.4
2019PurchaseNo CharacteristicAll Appraisals0.1
2019PurchaseNo CharacteristicAll Appraisals1.0
2019BothNo CharacteristicAll Appraisals515,000.0
2019PurchaseNo CharacteristicAll Appraisals618.0
2019PurchaseNo CharacteristicAll Appraisals0.4
2019PurchaseNo CharacteristicAll Appraisals1.0
2019RefinanceNo CharacteristicAll Appraisals515,000.0
2019BothNo CharacteristicAll Appraisals1,331.0
2019RefinanceNo CharacteristicAll Appraisals713.0
2019PurchaseNo CharacteristicAll Appraisals515,000.0
2019PurchaseNo CharacteristicAll Appraisals0.5
2018RefinanceNo CharacteristicAll Appraisals470,000.0
2018BothNo CharacteristicAll Appraisals1,057.0
2018PurchaseNo CharacteristicAll Appraisals595.0
2018RefinanceNo CharacteristicAll Appraisals462.0
2018BothNo CharacteristicAll Appraisals480,000.0
2018PurchaseNo CharacteristicAll Appraisals485,000.0
2018PurchaseNo CharacteristicAll Appraisals0.4
2018PurchaseNo CharacteristicAll Appraisals0.1
2018PurchaseNo CharacteristicAll Appraisals0.4
2018PurchaseNo CharacteristicAll Appraisals1.0
2018PurchaseNo CharacteristicAll Appraisals1.0
2017RefinanceNo CharacteristicAll Appraisals440,000.0
2017PurchaseNo CharacteristicAll Appraisals1.0
2017PurchaseNo CharacteristicAll Appraisals1.0
2017PurchaseNo CharacteristicAll Appraisals0.4
2017PurchaseNo CharacteristicAll Appraisals0.2
2017BothNo CharacteristicAll Appraisals1,046.0
2017PurchaseNo CharacteristicAll Appraisals535.0
2017PurchaseNo CharacteristicAll Appraisals455,000.0
2017RefinanceNo CharacteristicAll Appraisals511.0
2017PurchaseNo CharacteristicAll Appraisals0.4
2017BothNo CharacteristicAll Appraisals450,000.0
2016PurchaseNo CharacteristicAll Appraisals485.0
2016RefinanceNo CharacteristicAll Appraisals420,000.0
2016PurchaseNo CharacteristicAll Appraisals1.0
2016PurchaseNo CharacteristicAll Appraisals411,000.0
2016PurchaseNo CharacteristicAll Appraisals0.4
2016PurchaseNo CharacteristicAll Appraisals0.1
2016BothNo CharacteristicAll Appraisals419,500.0
2016PurchaseNo CharacteristicAll Appraisals1.0
2016PurchaseNo CharacteristicAll Appraisals0.4
2016BothNo CharacteristicAll Appraisals1,124.0
2016RefinanceNo CharacteristicAll Appraisals639.0
2015PurchaseNo CharacteristicAll Appraisals1.0
2015PurchaseNo CharacteristicAll Appraisals400,000.0
2015PurchaseNo CharacteristicAll Appraisals0.4
2015RefinanceNo CharacteristicAll Appraisals393,000.0
2015BothNo CharacteristicAll Appraisals951.0
2015RefinanceNo CharacteristicAll Appraisals513.0
2015PurchaseNo CharacteristicAll Appraisals0.1
2015PurchaseNo CharacteristicAll Appraisals0.5
2015PurchaseNo CharacteristicAll Appraisals438.0
2015BothNo CharacteristicAll Appraisals395,000.0
2015PurchaseNo CharacteristicAll Appraisals1.0
2014BothNo CharacteristicAll Appraisals380,000.0

ECONOMY & INCOME

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

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

BLS Local Area Unemployment

2026-05619,659579,18040,4796.5%
2026-04620,127580,22039,9076.4%
2026-03625,293583,97641,3176.6%
2026-02632,012579,88252,1308.2%
2026-01625,516577,81247,7047.6%
2025-12625,715579,61546,1007.4%
2025-11627,651579,81047,8417.6%
2025-09623,554574,48849,0667.9%
2025-08626,316575,69650,6208.1%
2025-07624,556575,22949,3277.9%
2025-06617,299574,58742,7126.9%
2025-05611,468572,77538,6936.3%
2025-04617,227578,97338,2546.2%
2025-03619,227580,89738,3306.2%
2025-02618,918580,29338,6256.2%
2025-01613,821573,93339,8886.5%
2024-12611,340573,41037,9306.2%
2024-11613,467572,84140,6266.6%
2024-10615,135574,02541,1106.7%
2024-09611,176571,69439,4826.5%
2024-08620,824572,78348,0417.7%
2024-07619,631572,28347,3487.6%
2024-06614,373572,52541,8486.8%
2024-05608,085570,29337,7926.2%
2024-04609,329573,28136,0485.9%
2024-03610,308572,90737,4016.1%
2024-02608,942569,70839,2346.4%
2024-01601,834563,71438,1206.3%
2023-12599,695563,17836,5176.1%
2023-11603,578567,99235,5865.9%
2023-10604,421564,68339,7386.6%
2023-09598,693561,60937,0846.2%
2023-08606,873564,45242,4217.0%
2023-07605,811564,80841,0036.8%
2023-06603,038562,52340,5156.7%
2023-05600,172561,79238,3806.4%
2023-04598,690560,76937,9216.3%
2023-03604,254563,13041,1246.8%
2023-02604,552559,96944,5837.4%
2023-01597,561552,86844,6937.5%
2022-12600,465559,27041,1956.9%
2022-11599,544558,34041,2046.9%
2022-10599,890558,50441,3866.9%
2022-09592,786555,88536,9016.2%
2022-08599,414555,57743,8377.3%
2022-07599,615553,92645,6897.6%
2022-06596,445551,44944,9967.5%
2022-05594,989550,66844,3217.4%
2022-04597,813548,63949,1748.2%
2022-03601,994548,93953,0558.8%
2022-02606,165546,00260,1639.9%
2022-01605,974539,60466,37011.0%
2021-12609,493545,10664,38710.6%
2021-11610,240545,11265,12810.7%
2021-10612,638542,40370,23511.5%
2021-09609,879535,83974,04012.1%
2021-08619,826533,78386,04313.9%
2021-07621,857531,88089,97714.5%
2021-06620,350528,04792,30314.9%
2021-05610,004524,01685,98814.1%
2021-04621,134525,24495,89015.4%
2021-03620,678523,65297,02615.6%
2021-02620,896517,857103,03916.6%
2021-01617,464510,053107,41117.4%
2020-12605,140504,941100,19916.6%
2020-11607,574504,288103,28617.0%
2020-10609,952501,371108,58117.8%
2020-09610,884489,971120,91319.8%
2020-08614,286490,844123,44220.1%
2020-07616,702478,304138,39822.4%
2020-06605,975474,453131,52221.7%
2020-05585,905430,354155,55126.5%
2020-04540,222459,42280,80015.0%
2020-03622,798577,53245,2667.3%
2020-02624,683588,66636,0175.8%
2020-01619,587584,22635,3615.7%
2019-12615,754586,52329,2314.7%
2019-11616,475585,43031,0455.0%
2019-10620,998587,89033,1085.3%
2019-09616,143585,06931,0745.0%
2019-08619,093583,21835,8755.8%
2019-07619,667583,11736,5505.9%
2019-06616,584583,99832,5865.3%
2019-05612,357580,76031,5975.2%
2019-04615,016584,25530,7615.0%
2019-03620,953586,47734,4765.6%
2019-02622,465584,98037,4856.0%
2019-01619,244578,85940,3856.5%
2018-12620,744585,94834,7965.6%
2018-11616,952583,96732,9855.3%
2018-10619,760586,35133,4095.4%
2018-09613,132580,26632,8665.4%
2018-08620,507582,83437,6736.1%
2018-07623,659584,95638,7036.2%
2018-06621,965585,66436,3015.8%
2018-05615,094584,39630,6985.0%
2018-04618,663585,11233,5515.4%
2018-03624,625587,72836,8975.9%
2018-02628,450589,44839,0026.2%
2018-01622,432582,48539,9476.4%

BEA Personal Income

2024$64.79B1,384,724$47K
2023$62.08B1,375,266$45K
2022$59.08B1,384,189$43K
2021$63.04B1,420,392$44K
2020$62.17B1,459,323$43K
2019$54.62B1,479,222$37K
2018$50.98B1,486,756$34K
2017$49.42B1,487,801$33K
2016$46.57B1,484,928$31K
2015$45.37B1,474,117$31K
2014$43.42B1,458,516$30K
2013$41.89B1,442,945$29K
2012$41.29B1,425,939$29K
2011$41.28B1,405,193$29K
2010$40.33B1,388,573$29K
2009$38.71B1,376,261$28K
2008$37.90B1,363,488$28K
2007$37.86B1,354,056$28K
2006$34.89B1,348,164$26K
2005$32.55B1,351,736$24K
2004$32.19B1,358,963$24K
2003$30.56B1,362,373$22K
2002$29.63B1,358,739$22K
2001$29.02B1,346,555$22K
2000$26.91B1,334,319$20K
1999$25.09B1,317,895$19K
1998$23.95B1,300,823$18K
1997$23.14B1,285,683$18K
1996$22.42B1,272,693$18K
1995$21.72B1,262,064$17K
1994$20.95B1,250,789$17K
1993$20.24B1,238,907$16K
1992$19.71B1,223,153$16K
1991$16K

NFIP FLOOD CLAIMS

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

FEMA NFIP redacted claims (nfip_claim, county_code)

2025-10-30$0$0$0Yes
2025-07-31$4K$4K$0Yes
2025-01-28$1K$1K$0Yes
2024-08-18$0Yes
2024-08-07$26K$26K$0Yes
2024-08-06$11K$11K$0Yes
2024-08-06$16K$16K$0Yes
2024-08-06$6K$4K$1KYes
2024-08-06$0$0$0Yes
2024-08-06$21K$21K$0Yes
2024-08-06$27K$27K$0Yes
2024-07-10$0$0$0No
2024-05-01$0No
2024-04-04$0$0$0No
2024-04-03$15K$15K$0Yes
2024-04-03$4K$4K$0Yes
2024-04-03$35K$35K$0Yes
2024-04-03$0$0$0Yes
2024-03-23$0$0$0Yes
2024-03-09$4K$4K$0Yes
2024-03-09$0$0$0Yes
2024-01-11$0$0$0No
2023-11-01$0Yes
2023-10-19$39K$39K$0No
2023-10-19$177K$177K$0No
2023-10-19$40K$40K$0No
2023-09-30$0Yes
2023-09-29$30K$30K$0No
2023-09-29$10K$10K$0Yes
2023-09-29$29K$28K$1KYes
2023-09-29$2K$2K$0Yes
2023-09-29$0$0$0Yes
2023-09-29$11K$11K$0Yes
2023-09-29$0$0$0Yes
2023-09-29$16K$15K$1KYes
2023-09-29$29K$25K$4KYes
2023-09-29$0$0$0Yes
2023-09-29$3K$3K$0Yes
2023-09-29$68K$68K$0No
2023-09-29$14K$14K$0Yes
2023-09-29$0$0$0No
2023-09-29$0Yes
2023-09-29$7K$7K$0Yes
2023-09-29$0Yes
2023-09-29$0$0$0No
2023-09-29$4K$4K$0Yes
2023-09-28$0$0$0No
2023-09-23$7K$7K$0Yes
2023-09-11$33K$33K$0Yes
2023-08-30$0$0$0No
2023-07-16$0$0$0Yes
2023-04-30$0$0$0Yes
2023-04-30$3K$3K$0Yes
2023-04-30$0$0$0No
2023-04-30$17K$17K$0Yes
2023-04-30$0$0$0Yes
2023-04-30$33K$33K$0No
2023-04-30$22K$22K$0Yes
2023-04-30$15K$15K$0Yes
2023-04-30$10K$10K$0Yes
2023-04-30$0$0$0Yes
2023-04-30$0Yes
2023-04-30$26K$26K$0Yes
2023-04-29$0Yes
2023-04-23$0$0$0No
2022-07-29$0$0$0Yes
2022-07-18$0Yes
2022-07-18$20K$20K$0Yes
2022-07-18$7K$7K$0Yes
2022-07-18$31K$30K$749.96Yes
2022-06-03$59K$59K$0Yes
2022-04-19$0Yes
2022-04-19$6K$6K$0Yes
2022-04-18$139.54$139.54$0Yes
2022-04-18$833.06$833.06$0Yes
2021-09-15$0Yes
2021-09-07$11K$11K$0Yes
2021-09-06$9K$9K$0Yes
2021-09-03$8K$8K$0Yes
2021-09-03$9K$9K$0Yes
2021-09-03$13K$13K$0Yes
2021-09-03$12K$12K$0Yes
2021-09-02$44K$44K$79.26Yes
2021-09-02$20K$19K$1KYes
2021-09-02$18K$18K$0Yes
2021-09-02$8K$8K$0Yes
2021-09-02$167K$167K$0No
2021-09-02$67K$67K$0No
2021-09-02$20K$20K$0Yes
2021-09-02$0$0$0Yes
2021-09-02$0Yes
2021-09-02$8K$8K$0Yes
2021-09-02$19K$19K$0No
2021-09-02$3K$3K$0Yes
2021-09-02$2K$2K$0No
2021-09-02$7K$7K$0Yes
2021-09-02$16K$16K$0Yes
2021-09-02$69K$69K$0Yes
2021-09-02$4K$4K$0No
2021-09-02$0$0$0Yes

ALSO CHECKED

18 more data areas were checked for Bronx 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 BRONX COUNTYOpens the loan explorer already filtered to county FIPS 36005.

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.