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MortRadarTERMINAL
State markets/New York/Kings County

COUNTY MORTGAGE MARKET · FIPS 36047

Kings County, New York

Who lends in Kings 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

$14.76B

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

Originations · 2025

12,900

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

Denial rate · 2025

21.0%

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

Lenders active · 2025

365

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

Concentration (HHI)

411

unconcentrated

Top-5 lender share

33.7%

of originations

Purchase

66.3%

7,500 loans

Refinance

33.7%

3,809 loans

Origination trend

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

Lenders in Kings 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 Kings 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 KINGS COUNTY →

TOP TEN LENDERS IN KINGS 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.

1,195$2.40B$2.40B originated in Kings County, 2025—Share needs a county-wide denominator, which the narrower fallback source does not carry.—
1,191$929.7M$929.7M originated in Kings County, 2025—Share needs a county-wide denominator, which the narrower fallback source does not carry.—
404$566.3M$566.3M originated in Kings County, 2025—Share needs a county-wide denominator, which the narrower fallback source does not carry.—
618$563.1M$563.1M originated in Kings County, 2025—Share needs a county-wide denominator, which the narrower fallback source does not carry.—
662$504.2M$504.2M originated in Kings County, 2025—Share needs a county-wide denominator, which the narrower fallback source does not carry.—
3$491.8M$491.8M originated in Kings County, 2025—Share needs a county-wide denominator, which the narrower fallback source does not carry.—
585$464.7M$464.7M originated in Kings County, 2025—Share needs a county-wide denominator, which the narrower fallback source does not carry.—
354$292.0M$292.0M originated in Kings County, 2025—Share needs a county-wide denominator, which the narrower fallback source does not carry.—
269$273.7M$273.7M originated in Kings County, 2025—Share needs a county-wide denominator, which the narrower fallback source does not carry.—
288$270.0M$270.0M originated in Kings 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 Kings County

All 40 ZIP Code Tabulation Areas that touch Kings 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.
40 OF 40 ZIP AREASEVERY ZIP AREA TOUCHING THE COUNTY — NO ROWS WITHHELD
TOP LENDERRECORDS
3030 of the 34 Kings County tracts this ZIP area touches sit mostly inside it.105,80398.0%9,635——TRACTS →HMDA reports no ZIP. This opens the ZIP area's tract list, where each tract's records open exactly.
4141 of the 44 Kings County tracts this ZIP area touches sit mostly inside it.104,11696.5%16,495——TRACTS →HMDA reports no ZIP. This opens the ZIP area's tract list, where each tract's records open exactly.
2828 of the 38 Kings County tracts this ZIP area touches sit mostly inside it.103,17387.0%7,857——TRACTS →HMDA reports no ZIP. This opens the ZIP area's tract list, where each tract's records open exactly.
2323 of the 30 Kings County tracts this ZIP area touches sit mostly inside it.100,46987.0%4,670——TRACTS →HMDA reports no ZIP. This opens the ZIP area's tract list, where each tract's records open exactly.
2121 of the 29 Kings County tracts this ZIP area touches sit mostly inside it.98,75341.5%5,939——TRACTS →HMDA reports no ZIP. This opens the ZIP area's tract list, where each tract's records open exactly.
4242 of the 47 Kings County tracts this ZIP area touches sit mostly inside it.94,10064.7%22,357——TRACTS →HMDA reports no ZIP. This opens the ZIP area's tract list, where each tract's records open exactly.
2424 of the 34 Kings County tracts this ZIP area touches sit mostly inside it.90,93264.6%3,444——TRACTS →HMDA reports no ZIP. This opens the ZIP area's tract list, where each tract's records open exactly.
2525 of the 36 Kings County tracts this ZIP area touches sit mostly inside it.90,84561.2%10,339——TRACTS →HMDA reports no ZIP. This opens the ZIP area's tract list, where each tract's records open exactly.
3131 of the 39 Kings County tracts this ZIP area touches sit mostly inside it.89,53194.1%8,264——TRACTS →HMDA reports no ZIP. This opens the ZIP area's tract list, where each tract's records open exactly.
2020 of the 27 Kings County tracts this ZIP area touches sit mostly inside it.89,11998.3%4,323——TRACTS →HMDA reports no ZIP. This opens the ZIP area's tract list, where each tract's records open exactly.
2727 of the 35 Kings County tracts this ZIP area touches sit mostly inside it.88,01739.9%9,218——TRACTS →HMDA reports no ZIP. This opens the ZIP area's tract list, where each tract's records open exactly.
2727 of the 33 Kings County tracts this ZIP area touches sit mostly inside it.86,96650.4%11,146——TRACTS →HMDA reports no ZIP. This opens the ZIP area's tract list, where each tract's records open exactly.
2222 of the 28 Kings County tracts this ZIP area touches sit mostly inside it.84,76652.6%10,615——TRACTS →HMDA reports no ZIP. This opens the ZIP area's tract list, where each tract's records open exactly.
2323 of the 35 Kings County tracts this ZIP area touches sit mostly inside it.84,27551.9%8,924——TRACTS →HMDA reports no ZIP. This opens the ZIP area's tract list, where each tract's records open exactly.
2626 of the 32 Kings County tracts this ZIP area touches sit mostly inside it.83,99142.8%14,430——TRACTS →HMDA reports no ZIP. This opens the ZIP area's tract list, where each tract's records open exactly.
2323 of the 33 Kings County tracts this ZIP area touches sit mostly inside it.83,94234.3%12,233——TRACTS →HMDA reports no ZIP. This opens the ZIP area's tract list, where each tract's records open exactly.
2020 of the 33 Kings County tracts this ZIP area touches sit mostly inside it.81,77779.5%6,299——TRACTS →HMDA reports no ZIP. This opens the ZIP area's tract list, where each tract's records open exactly.
3232 of the 39 Kings County tracts this ZIP area touches sit mostly inside it.80,60595.7%11,604——TRACTS →HMDA reports no ZIP. This opens the ZIP area's tract list, where each tract's records open exactly.
1919 of the 22 Kings County tracts this ZIP area touches sit mostly inside it.76,93489.9%7,405——TRACTS →HMDA reports no ZIP. This opens the ZIP area's tract list, where each tract's records open exactly.
2525 of the 27 Kings County tracts this ZIP area touches sit mostly inside it.76,71539.6%11,453——TRACTS →HMDA reports no ZIP. This opens the ZIP area's tract list, where each tract's records open exactly.
2020 of the 22 Kings County tracts this ZIP area touches sit mostly inside it.73,21442.6%10,797——TRACTS →HMDA reports no ZIP. This opens the ZIP area's tract list, where each tract's records open exactly.
1717 of the 24 Kings County tracts this ZIP area touches sit mostly inside it.69,43555.9%8,660——TRACTS →HMDA reports no ZIP. This opens the ZIP area's tract list, where each tract's records open exactly.
1717 of the 24 Kings County tracts this ZIP area touches sit mostly inside it.67,10736.8%3,967——TRACTS →HMDA reports no ZIP. This opens the ZIP area's tract list, where each tract's records open exactly.
2222 of the 27 Kings County tracts this ZIP area touches sit mostly inside it.64,61134.6%11,198——TRACTS →HMDA reports no ZIP. This opens the ZIP area's tract list, where each tract's records open exactly.
1515 of the 18 Kings County tracts this ZIP area touches sit mostly inside it.63,46573.3%4,716——TRACTS →HMDA reports no ZIP. This opens the ZIP area's tract list, where each tract's records open exactly.
1616 of the 23 Kings County tracts this ZIP area touches sit mostly inside it.63,29171.9%6,368——TRACTS →HMDA reports no ZIP. This opens the ZIP area's tract list, where each tract's records open exactly.
2121 of the 26 Kings County tracts this ZIP area touches sit mostly inside it.63,19576.1%4,061——TRACTS →HMDA reports no ZIP. This opens the ZIP area's tract list, where each tract's records open exactly.
2424 of the 36 Kings County tracts this ZIP area touches sit mostly inside it.59,43066.5%9,798——TRACTS →HMDA reports no ZIP. This opens the ZIP area's tract list, where each tract's records open exactly.
2020 of the 25 Kings County tracts this ZIP area touches sit mostly inside it.50,90857.7%8,613——TRACTS →HMDA reports no ZIP. This opens the ZIP area's tract list, where each tract's records open exactly.
1111 of the 17 Kings County tracts this ZIP area touches sit mostly inside it.47,85574.9%1,574——TRACTS →HMDA reports no ZIP. This opens the ZIP area's tract list, where each tract's records open exactly.
1212 of the 12 Kings County tracts this ZIP area touches sit mostly inside it.47,55949.1%5,820——TRACTS →HMDA reports no ZIP. This opens the ZIP area's tract list, where each tract's records open exactly.
99 of the 13 Kings County tracts this ZIP area touches sit mostly inside it.46,83633.5%2,826——TRACTS →HMDA reports no ZIP. This opens the ZIP area's tract list, where each tract's records open exactly.
1313 of the 19 Kings County tracts this ZIP area touches sit mostly inside it.45,31252.5%4,473——TRACTS →HMDA reports no ZIP. This opens the ZIP area's tract list, where each tract's records open exactly.
1616 of the 21 Kings County tracts this ZIP area touches sit mostly inside it.41,67432.8%2,919——TRACTS →HMDA reports no ZIP. This opens the ZIP area's tract list, where each tract's records open exactly.
1111 of the 17 Kings County tracts this ZIP area touches sit mostly inside it.39,93549.9%4,968——TRACTS →HMDA reports no ZIP. This opens the ZIP area's tract list, where each tract's records open exactly.
1111 of the 15 Kings County tracts this ZIP area touches sit mostly inside it.34,79041.9%4,844——TRACTS →HMDA reports no ZIP. This opens the ZIP area's tract list, where each tract's records open exactly.
1414 of the 15 Kings County tracts this ZIP area touches sit mostly inside it.32,14976.6%2,186——TRACTS →HMDA reports no ZIP. This opens the ZIP area's tract list, where each tract's records open exactly.
44 of the 5 Kings County tracts this ZIP area touches sit mostly inside it.17,03884.8%573——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 Kings 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 Kings 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.

802 of Kings County’s 805 census tracts are grouped into the ZIP areas above; the other 3 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 Kings County

All 805 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.

805 OF 805 TRACTSEVERY TRACT IN THE COUNTY — NO ROWS WITHHELD
TOP LENDERRECORDS
Upper228.4%4,61631.1%OPEN →
—0.0%1,20591.8%OPEN →
Upper292.4%3,85018.8%OPEN →
Upper251.0%4,40424.4%OPEN →
Upper270.5%2,64022.1%OPEN →
Upper267.1%4,41527.8%OPEN →
Upper292.4%5,16731.0%OPEN →
Upper265.8%1,57851.1%OPEN →
Upper205.2%2,46552.5%OPEN →
Moderate70.7%5,16175.0%OPEN →
Upper188.6%5,80159.8%OPEN →
—0.0%2,56365.0%OPEN →
—0.0%6100.0%OPEN →
—0.0%1668.8%OPEN →
—0.0%——OPEN →
Moderate66.5%1,69491.7%OPEN →
Upper292.4%5,97531.2%OPEN →
Moderate55.1%4,58983.4%OPEN →
Low26.7%3,94098.3%OPEN →
Low33.3%3,14996.7%OPEN →
Upper127.2%1,81146.7%OPEN →
Upper179.2%3,39565.4%OPEN →
—0.0%——OPEN →
Upper163.6%4,80753.0%OPEN →
Upper133.3%3,48940.4%OPEN →
Upper165.4%2,40255.6%OPEN →
Middle114.2%3,95939.3%OPEN →
Upper173.5%4,56550.9%OPEN →
Upper154.8%1,52931.1%OPEN →
Upper225.0%2,64446.3%OPEN →
Upper292.4%3,39835.7%OPEN →
Upper235.8%3,81036.3%OPEN →
Upper191.0%2,44820.8%OPEN →
Upper243.5%3,47623.1%OPEN →
Upper228.3%1,15422.7%OPEN →
Upper256.3%1,95141.4%OPEN →
Upper204.5%2,41233.5%OPEN →
Upper187.3%2,53524.5%OPEN →
Upper190.5%2,65834.0%OPEN →
Upper185.2%1,87928.1%OPEN →
Upper136.9%2,66822.5%OPEN →
Upper159.8%2,16442.0%OPEN →
—0.0%8634.9%OPEN →
—0.0%00.0%OPEN →
Middle84.6%3,42631.5%OPEN →
Upper125.7%2,69229.2%OPEN →
Middle100.0%1,73427.1%OPEN →
Middle89.2%3,45035.2%OPEN →
Middle119.9%1,74252.9%OPEN →
Middle118.0%2,87645.3%OPEN →
Upper151.0%2,95837.4%OPEN →
Upper253.9%2,00726.1%OPEN →
Middle106.4%3,62337.8%OPEN →
Upper219.2%5,46121.9%OPEN →
Middle106.5%3,97443.7%OPEN →
Upper253.1%3,61820.9%OPEN →
Middle80.7%5,49152.5%OPEN →
Upper224.9%1,63127.1%OPEN →
Upper248.9%1,96230.3%OPEN →
Middle96.6%2,45447.4%OPEN →
Moderate66.3%4,36279.7%OPEN →
Low49.5%2,08287.3%OPEN →
Moderate54.5%5,82993.0%OPEN →
Upper206.8%4,69125.8%OPEN →
Moderate63.6%4,87288.7%OPEN →
Upper243.4%5,69027.8%OPEN →
Middle83.9%5,33390.2%OPEN →
Middle95.1%4,02488.7%OPEN →
Middle99.5%4,00884.2%OPEN →
Moderate58.6%3,31181.2%OPEN →
Low22.5%6,67398.4%OPEN →
—0.0%00.0%OPEN →
Middle82.2%3,25875.5%OPEN →
Middle81.4%1,88688.5%OPEN →
Moderate59.1%1,39191.7%OPEN →
Middle104.4%2,08785.6%OPEN →
Low37.5%3,42491.2%OPEN →
Moderate51.4%3,12795.1%OPEN →
Moderate70.5%3,16880.4%OPEN →
Moderate56.4%6,46287.6%OPEN →
Moderate54.1%7,44096.0%OPEN →
Moderate67.8%7,74194.4%OPEN →
Middle98.8%4,59068.8%OPEN →
Moderate68.3%6,57895.5%OPEN →
Moderate50.3%3,01594.8%OPEN →
Low39.2%2,96591.7%OPEN →
Moderate58.2%3,03795.6%OPEN →
Moderate65.8%2,82097.3%OPEN →
Moderate52.9%2,87697.1%OPEN →
Low40.3%2,84091.5%OPEN →
Middle82.5%2,70976.1%OPEN →
Moderate59.5%6,63665.6%OPEN →
Moderate54.8%4,15053.1%OPEN →
Low47.6%5,52991.3%OPEN →
Upper124.8%2,67246.7%OPEN →
Moderate64.8%2,57892.1%OPEN →
Upper180.1%1,58944.7%OPEN →
—0.0%00.0%OPEN →
Moderate54.4%1,17692.1%OPEN →
Upper182.7%1,91645.4%OPEN →
Low44.4%5,52188.6%OPEN →
Moderate67.7%3,08565.9%OPEN →
Middle108.3%4,03672.3%OPEN →
Low43.2%2,56780.8%OPEN →
Upper256.1%2,33345.7%OPEN →
Upper165.0%3,31849.3%OPEN →
Middle100.9%5,34750.2%OPEN →
Upper184.5%3,97943.1%OPEN →
Upper120.2%2,87074.0%OPEN →
Upper292.4%4,41133.8%OPEN →
Upper128.2%4,21248.5%OPEN →
Upper253.2%3,79935.6%OPEN →
Upper142.2%4,07940.0%OPEN →
Upper202.8%3,40636.1%OPEN →
Middle89.4%3,24740.3%OPEN →
Upper202.8%3,72738.8%OPEN →
Moderate71.7%2,13633.6%OPEN →
Upper176.9%1,62148.9%OPEN →
Upper160.4%1,85841.4%OPEN →
Middle88.7%3,43442.1%OPEN →
Upper145.8%3,70548.6%OPEN →
Upper135.4%4,40452.6%OPEN →
Upper154.4%2,24242.6%OPEN →
Middle111.3%1,24427.1%OPEN →
Upper212.2%1,52934.5%OPEN →
Upper211.9%3,60137.2%OPEN →
Middle94.8%1,79141.6%OPEN →
Upper237.0%3,69626.6%OPEN →
Middle104.5%2,54541.8%OPEN →
Upper232.5%2,63324.9%OPEN →
—0.0%——OPEN →
Upper264.5%3,46624.3%OPEN →
Upper210.3%4,44724.9%OPEN →
Upper292.4%5,20627.0%OPEN →
Middle114.2%4,46251.7%OPEN →
Upper225.2%3,45040.5%OPEN →
Upper152.9%2,21841.6%OPEN →
Upper188.7%4,08843.4%OPEN →
Upper144.0%77558.8%OPEN →
Upper292.4%5,08024.7%OPEN →
Upper185.2%1,96821.3%OPEN →
Upper218.0%4,75425.9%OPEN →
Upper137.8%1,69540.1%OPEN →
Upper152.8%4,45939.6%OPEN →
Middle105.1%3,60456.0%OPEN →
Upper174.7%3,71724.1%OPEN →
Upper129.2%3,30062.5%OPEN →
Upper138.6%1,95051.9%OPEN →
—0.0%00.0%OPEN →
Middle102.5%2,41859.9%OPEN →
—0.0%1586.7%OPEN →
Middle86.8%2,95967.3%OPEN →
Middle110.8%3,89575.5%OPEN →
Middle95.8%3,12566.9%OPEN →
Upper139.1%4,20441.1%OPEN →
Middle86.6%3,74575.3%OPEN →
Upper185.2%2,78441.5%OPEN →
Moderate77.6%2,46063.6%OPEN →
Low47.1%4,46192.9%OPEN →
Middle89.9%2,36465.8%OPEN →
Upper193.2%1,33650.1%OPEN →
Middle90.3%2,95562.1%OPEN →
Moderate67.5%4,85374.0%OPEN →
Upper160.7%3,42752.3%OPEN →
Moderate64.7%3,54157.9%OPEN →
Middle90.9%6,27969.1%OPEN →
Moderate71.9%3,57080.9%OPEN →
Upper140.5%3,68451.9%OPEN →
Moderate60.8%4,69167.2%OPEN →
Upper207.1%3,58547.6%OPEN →
Moderate77.0%2,06156.3%OPEN →
Upper188.6%3,97853.8%OPEN →
Middle92.3%2,44258.9%OPEN →
Upper181.5%3,86247.3%OPEN →
Upper128.2%2,14750.5%OPEN →
Upper213.6%2,13249.8%OPEN →
Upper132.4%2,04045.3%OPEN →
Upper173.9%3,40543.0%OPEN →
Upper125.3%2,50551.5%OPEN →
Upper223.3%4,87143.6%OPEN →
Middle82.5%3,78270.6%OPEN →
Low45.2%4,48874.8%OPEN →
Middle108.2%2,50571.7%OPEN →
Low49.0%5,27882.0%OPEN →
Moderate74.0%3,88077.9%OPEN →
Moderate68.2%2,50259.4%OPEN →
Upper173.8%5,56954.2%OPEN →
Low43.9%4,28026.6%OPEN →
Middle88.5%4,35168.3%OPEN →
Moderate76.3%4,19124.6%OPEN →
Middle105.1%4,22562.3%OPEN →
Low38.9%5,66021.9%OPEN →
—0.0%3,89766.1%OPEN →
Low50.0%5,63321.8%OPEN →
Moderate60.5%6,11730.0%OPEN →
Moderate79.5%2,66463.1%OPEN →
Upper166.2%4,51568.0%OPEN →
Moderate53.6%3,63844.8%OPEN →
Upper138.5%3,92358.5%OPEN →
Low45.4%4,44233.6%OPEN →
Upper137.4%3,83254.5%OPEN →
Moderate50.8%6,38221.1%OPEN →
Moderate76.5%5,96171.2%OPEN →
Low37.4%5,92310.5%OPEN →
Moderate50.7%5,92133.3%OPEN →
Low36.5%6,54812.8%OPEN →
Low44.5%5,41414.6%OPEN →
Low46.4%5,16515.8%OPEN →
Moderate72.3%3,17546.4%OPEN →
Moderate77.3%3,28927.0%OPEN →
Upper132.9%4,34764.8%OPEN →
Moderate58.9%3,65130.4%OPEN →
Middle114.7%4,25771.4%OPEN →
Moderate73.4%3,43644.0%OPEN →
Moderate54.1%2,82077.2%OPEN →
Moderate75.0%2,64758.7%OPEN →
Upper137.9%4,26470.5%OPEN →
Moderate62.5%1,74884.9%OPEN →
Moderate76.8%4,20981.7%OPEN →
Moderate71.5%5,30064.5%OPEN →
Middle88.2%3,51763.1%OPEN →
Moderate57.3%3,65071.1%OPEN →
Low28.6%4,79998.8%OPEN →
Moderate70.2%3,36671.5%OPEN →
Middle91.8%2,82256.5%OPEN →
Moderate55.0%5,07363.7%OPEN →
Moderate68.5%2,32866.8%OPEN →
Low26.7%3,56098.5%OPEN →
Moderate69.6%3,65670.8%OPEN →
Moderate73.6%6,47972.4%OPEN →
Middle90.7%2,72677.2%OPEN →
Middle81.2%2,08878.3%OPEN →
Moderate70.0%5,10370.7%OPEN →
Middle110.2%4,38577.3%OPEN →
Moderate57.6%3,96169.7%OPEN →
Upper130.4%4,22871.7%OPEN →
Moderate68.0%4,68662.0%OPEN →
Middle102.4%3,00577.1%OPEN →
Moderate50.3%2,71951.9%OPEN →
Upper133.8%3,49386.0%OPEN →
Middle86.8%3,63362.5%OPEN →
Moderate75.6%3,13181.7%OPEN →
Middle80.2%3,27264.2%OPEN →
Middle119.9%4,07172.8%OPEN →
Moderate66.7%3,88670.7%OPEN →
Moderate76.5%4,35187.5%OPEN →
Middle91.2%3,54258.8%OPEN →
Middle97.5%3,67480.6%OPEN →
Middle98.3%1,86268.6%OPEN →
Low34.8%4,80085.0%OPEN →
Middle88.8%3,28255.8%OPEN →
Low48.9%3,93388.0%OPEN →
Moderate72.0%4,39661.2%OPEN →
Moderate64.6%63668.2%OPEN →
Moderate51.0%2,65899.5%OPEN →
Moderate67.2%6,09461.3%OPEN →
Moderate59.8%3,10380.6%OPEN →
Middle94.6%3,90061.9%OPEN →
Middle99.1%3,93380.6%OPEN →
Moderate60.8%4,37752.0%OPEN →
Middle100.0%3,04278.9%OPEN →
Moderate59.3%2,78161.0%OPEN →
Low47.6%3,40284.4%OPEN →
Moderate69.8%2,29848.6%OPEN →
Moderate75.7%3,85175.8%OPEN →
Moderate65.3%5,99351.0%OPEN →
Middle107.8%3,92182.3%OPEN →
Moderate52.1%3,95563.4%OPEN →
Moderate59.2%2,49689.2%OPEN →
Moderate73.8%4,22471.8%OPEN →
Moderate68.6%2,97090.3%OPEN →
Middle91.8%4,39169.8%OPEN →
Moderate55.8%4,95296.8%OPEN →
Moderate64.8%4,68665.3%OPEN →
Middle118.1%7,24959.8%OPEN →
Moderate61.2%2,21568.6%OPEN →
Low50.0%5,62594.6%OPEN →
Middle87.3%2,31450.9%OPEN →
Middle100.2%2,20992.4%OPEN →
Middle85.8%3,19181.5%OPEN →
Upper132.3%5,10981.1%OPEN →
Middle112.1%5,14245.2%OPEN →
—0.0%——OPEN →
Moderate69.2%5,61366.5%OPEN →
Middle109.7%3,99967.8%OPEN →
Upper120.5%3,71462.3%OPEN →
Middle95.0%3,45266.6%OPEN →
Moderate76.9%5,48882.2%OPEN →
Middle109.5%3,50980.5%OPEN →
Moderate61.0%6,21887.2%OPEN →
Low34.9%7,07587.5%OPEN →
Moderate71.0%3,07473.8%OPEN →
Low49.5%3,09090.7%OPEN →
Moderate64.4%5,70767.6%OPEN →
Low37.8%4,42382.5%OPEN →
Middle88.2%4,21741.3%OPEN →
Moderate60.8%4,50333.3%OPEN →
Middle101.9%3,23143.0%OPEN →
Middle91.8%4,76527.0%OPEN →
Moderate76.7%2,51056.6%OPEN →
Middle89.5%2,11645.6%OPEN →
Moderate77.8%4,67676.4%OPEN →
Low31.8%——OPEN →
Moderate78.1%2,68576.2%OPEN →
Low39.1%7,06072.6%OPEN →
—0.0%5,02491.1%OPEN →
Moderate60.2%2,73886.3%OPEN →
Low35.7%3,64593.0%OPEN →
Moderate55.2%2,82876.5%OPEN →
Low39.9%2,06795.2%OPEN →
Middle80.2%3,34790.4%OPEN →
Moderate76.7%3,0824.9%OPEN →
Low46.9%2,24389.1%OPEN →
Moderate63.7%2,62666.3%OPEN →
—0.0%1,36753.4%OPEN →
Low48.1%2,56684.8%OPEN →
Middle88.0%2,81166.8%OPEN →
Middle81.7%5,4937.7%OPEN →
Middle80.3%5,19280.2%OPEN →
Low49.9%2,9028.7%OPEN →
Moderate73.1%5,47410.8%OPEN →
Low45.8%2,32296.5%OPEN →
—0.0%——OPEN →
Low47.1%5,61795.5%OPEN →
Moderate60.0%3,38714.9%OPEN →
Low41.0%4,20318.4%OPEN →
Low45.7%2,96495.4%OPEN →
Moderate71.3%4,14058.4%OPEN →
Low41.4%5,38597.7%OPEN →
Moderate63.2%3,00654.0%OPEN →
Moderate69.2%2,95996.8%OPEN →
Moderate75.2%1,90294.1%OPEN →
Moderate73.6%4,68159.6%OPEN →
Moderate71.3%1,79694.0%OPEN →
Moderate50.4%6,13689.0%OPEN →
Middle102.7%4,75039.4%OPEN →
Middle93.8%4,50391.0%OPEN →
Moderate64.2%4,38588.5%OPEN →
Middle81.1%4,69633.9%OPEN →
Middle81.2%5,36740.1%OPEN →
Middle84.1%3,80979.7%OPEN →
Middle86.3%3,97080.3%OPEN →
Moderate54.6%3,85188.7%OPEN →
Moderate58.1%5,31387.6%OPEN →
Low23.5%5,88294.3%OPEN →
Middle94.4%4,33880.0%OPEN →
Upper124.0%3,96980.0%OPEN →
Middle94.8%3,81263.7%OPEN →
Middle85.3%4,90879.4%OPEN →
Middle102.5%4,04732.9%OPEN →
Middle93.9%3,57070.8%OPEN →
Middle104.4%2,32115.6%OPEN →
Moderate65.8%5,77665.3%OPEN →
Moderate72.6%2,90823.9%OPEN →
Moderate68.2%4,14169.8%OPEN →
Moderate60.5%2,18720.5%OPEN →
Middle82.5%4,03071.8%OPEN →
Middle100.8%1,94818.9%OPEN →
Moderate73.0%3,86875.4%OPEN →
Middle84.6%2,84166.3%OPEN →
Middle92.2%4,37880.9%OPEN →
Moderate61.7%3,28162.4%OPEN →
Moderate64.7%3,77879.3%OPEN →
Middle96.3%3,02575.7%OPEN →
Moderate62.4%3,89281.3%OPEN →
Middle103.1%2,81268.5%OPEN →
Moderate77.9%1,82983.7%OPEN →
Moderate75.4%3,59971.0%OPEN →
—0.0%——OPEN →
Upper132.6%3,93376.5%OPEN →
Moderate53.1%3,80083.8%OPEN →
Middle85.8%2,13650.6%OPEN →
Moderate60.2%3,33282.9%OPEN →
Middle118.8%3,37559.9%OPEN →
Middle108.2%3,95183.0%OPEN →
Moderate79.3%1,48025.3%OPEN →
Middle82.3%1,85520.2%OPEN →
Middle94.5%4,03282.7%OPEN →
Moderate70.3%2,11218.6%OPEN →
Low41.5%3,34889.5%OPEN →
Middle85.3%2,64527.4%OPEN →
Moderate59.3%3,88084.5%OPEN →
Middle94.3%1,91220.7%OPEN →
Middle96.3%4,86674.6%OPEN →
Moderate77.6%3,66334.3%OPEN →
Moderate79.5%4,56671.7%OPEN →
Middle83.7%4,17562.0%OPEN →
Moderate56.9%3,02672.1%OPEN →
Middle91.2%4,35064.8%OPEN →
Low49.6%4,92069.0%OPEN →
Middle89.2%4,29047.0%OPEN →
Low45.3%5,55673.0%OPEN →
Moderate58.4%3,84258.8%OPEN →
Moderate59.7%4,88470.3%OPEN →
Middle90.7%4,51469.2%OPEN →
Low41.3%3,84384.8%OPEN →
Moderate60.2%3,86658.2%OPEN →
Moderate66.2%4,70982.8%OPEN →
Middle90.5%4,69458.5%OPEN →
Moderate67.2%5,28278.3%OPEN →
Moderate73.1%2,90534.3%OPEN →
Moderate72.3%4,09784.0%OPEN →
Middle101.6%2,87827.0%OPEN →
Moderate55.7%5,52681.6%OPEN →
Middle116.7%2,63112.0%OPEN →
—0.0%5,19573.3%OPEN →
Moderate72.8%3,26022.4%OPEN →
Middle84.0%4,20773.8%OPEN →
Moderate70.0%2,02660.4%OPEN →
Low42.2%2,45967.3%OPEN →
Moderate77.6%1,96526.0%OPEN →
Low29.3%2,69480.8%OPEN →
—0.0%4454.5%OPEN →
Middle95.6%64513.0%OPEN →
Middle118.3%2,61811.1%OPEN →
Low31.6%1,88656.1%OPEN →
Upper133.2%2,03622.1%OPEN →
Middle89.4%2,76746.5%OPEN →
Middle119.6%1,5588.8%OPEN →
Middle89.7%3,82858.6%OPEN →
Moderate79.4%2,70037.3%OPEN →
Middle118.4%1,89128.7%OPEN →
Moderate72.7%2,73217.2%OPEN →
—0.0%2,13810.8%OPEN →
Moderate73.9%2,82314.3%OPEN →
Moderate71.3%3,0999.5%OPEN →
Moderate62.4%3,23214.3%OPEN →
Middle85.4%4,05412.8%OPEN →
Upper183.5%4,22633.3%OPEN →
Middle84.9%5,30835.4%OPEN →
Moderate53.9%3,82443.7%OPEN →
Middle83.2%3,10546.6%OPEN →
Moderate72.4%6,12261.2%OPEN →
Moderate67.1%5,92244.2%OPEN →
Moderate77.1%2,47051.0%OPEN →
Moderate61.9%3,59780.2%OPEN →
—0.0%4,53657.4%OPEN →
Low34.5%3,75798.3%OPEN →
Moderate69.5%6,03657.4%OPEN →
Low42.0%6,36679.0%OPEN →
Moderate79.2%3,36667.0%OPEN →
Low32.5%——OPEN →
Low43.6%5,47672.3%OPEN →
Upper122.3%5,52755.0%OPEN →
Upper142.4%3,11444.2%OPEN →
Moderate73.5%4,64665.0%OPEN →
Middle95.9%3,14128.3%OPEN →
Middle115.6%4,51759.8%OPEN →
Middle101.5%2,14729.6%OPEN →
Upper148.9%2,06239.5%OPEN →
Upper171.8%1,60741.4%OPEN →
Upper159.7%2,95133.5%OPEN →
Upper170.4%2,31226.5%OPEN →
Upper180.4%2,75939.1%OPEN →
Middle119.1%2,99737.3%OPEN →
Upper269.2%2,00456.5%OPEN →
Low48.1%4,56773.2%OPEN →
Moderate68.5%5,61282.0%OPEN →
Moderate56.7%3,54525.9%OPEN →
Moderate74.3%4,31189.3%OPEN →
Moderate80.0%2,54879.8%OPEN →
Middle109.3%6,19678.1%OPEN →
Low39.9%5,11213.2%OPEN →
Moderate65.8%3,74087.5%OPEN →
Moderate55.9%4,60087.1%OPEN →
Low43.3%4,54567.3%OPEN →
Moderate73.2%5,94684.9%OPEN →
Middle95.9%5,52650.9%OPEN →
Middle81.8%7,02381.8%OPEN →
Upper197.8%2,45132.4%OPEN →
Moderate73.8%5,40788.9%OPEN →
Middle80.7%3,87491.0%OPEN →
Upper254.9%2,63630.2%OPEN →
Moderate77.6%3,52870.4%OPEN →
Upper222.7%6,10132.3%OPEN →
Upper124.6%4,17571.9%OPEN →
Middle81.8%5,40565.6%OPEN →
Low43.3%3,72044.9%OPEN →
Middle84.1%4,35365.2%OPEN →
Moderate64.5%6,04571.1%OPEN →
Upper176.6%1,80451.8%OPEN →
Low31.7%4,29910.7%OPEN →
Moderate69.1%3,60649.9%OPEN →
Low22.5%2,99712.0%OPEN →
Moderate55.9%5,8909.7%OPEN →
Middle95.0%2,51046.9%OPEN →
Low35.3%7,1158.1%OPEN →
Moderate65.5%4,77747.2%OPEN →
Low36.7%4,46913.0%OPEN →
Low43.6%4,3049.1%OPEN →
Middle100.9%5,53533.7%OPEN →
Low29.5%2,66820.8%OPEN →
Moderate66.4%4,75025.1%OPEN →
—0.0%580.0%OPEN →
Middle92.6%3,78527.1%OPEN →
Low31.6%7,30439.7%OPEN →
Moderate71.2%5,40935.0%OPEN →
Moderate57.5%7,85526.6%OPEN →
Upper127.1%2,18914.6%OPEN →
Middle92.0%4,74832.1%OPEN →
Middle103.7%3,95631.8%OPEN →
Middle110.4%6,34350.1%OPEN →
Middle99.0%3,73539.3%OPEN →
Upper133.1%3,07838.4%OPEN →
Moderate79.8%4,81342.2%OPEN →
Upper226.5%8,68838.8%OPEN →
Moderate59.3%3,88026.5%OPEN →
Middle119.6%1,84827.2%OPEN →
Middle98.9%2,73635.2%OPEN →
Middle103.1%3,88222.0%OPEN →
Upper126.4%3,46023.9%OPEN →
Upper131.7%1,69514.0%OPEN →
Middle118.4%4,92339.4%OPEN →
Low44.4%2,00257.8%OPEN →
Upper126.6%2,62630.9%OPEN →
Upper124.5%3,73827.8%OPEN →
Middle117.3%2,54852.0%OPEN →
Middle104.1%1,31040.9%OPEN →
Upper177.6%1,62426.3%OPEN →
Middle101.9%3,53449.1%OPEN →
Middle117.0%4,26718.7%OPEN →
Low39.4%5,22189.5%OPEN →
Upper162.5%2,59020.4%OPEN →
Middle91.5%2,56059.4%OPEN →
Middle109.7%4,90233.5%OPEN →
Middle92.0%2,91261.2%OPEN →
Middle102.3%3,33252.8%OPEN →
—0.0%1,41646.0%OPEN →
—0.0%——OPEN →
Middle94.3%3,50258.6%OPEN →
Middle109.7%3,04448.2%OPEN →
Middle87.9%3,79732.8%OPEN →
Middle87.0%2,65572.2%OPEN →
Middle108.0%3,53233.6%OPEN →
Middle104.1%1,78117.8%OPEN →
—0.0%——OPEN →
Moderate64.8%2,01465.6%OPEN →
Upper137.1%3,85623.0%OPEN →
Moderate75.1%4,26844.2%OPEN →
Middle117.8%2,27427.7%OPEN →
Upper124.8%5,10537.1%OPEN →
Middle101.5%3,77951.6%OPEN →
Middle98.6%4,42645.3%OPEN →
Middle105.5%2,56921.6%OPEN →
Middle86.4%3,61731.1%OPEN →
Upper131.4%6,84423.6%OPEN →
Middle82.8%3,17834.7%OPEN →
Middle98.4%4,01530.0%OPEN →
Middle112.4%5,0647.8%OPEN →
Low46.1%2,41874.7%OPEN →
Moderate59.4%6,66924.1%OPEN →
Upper154.7%1,0639.6%OPEN →
Upper175.9%1,8548.7%OPEN →
Upper134.6%1,7677.6%OPEN →
Middle97.8%3,32530.4%OPEN →
Middle91.2%3,15250.7%OPEN →
Upper121.2%5,22226.0%OPEN →
Middle119.1%1,47627.3%OPEN →
Upper153.5%1,31735.8%OPEN →
Upper138.8%1,61733.1%OPEN →
Upper165.8%1,62022.6%OPEN →
Middle110.7%2,86529.5%OPEN →
Middle105.0%2,70231.8%OPEN →
Middle102.7%2,22625.3%OPEN →
Upper138.4%1,99343.4%OPEN →
Middle89.1%1,43976.7%OPEN →
Upper123.7%1,19737.9%OPEN →
Upper129.2%1,68126.9%OPEN →
Middle117.6%1,79526.3%OPEN →
Upper154.7%1,84436.8%OPEN →
Upper165.4%1,76230.3%OPEN →
Middle96.3%1,49743.3%OPEN →
—0.0%00.0%OPEN →
Middle114.6%2,87683.8%OPEN →
Middle117.1%1,43590.6%OPEN →
Upper122.2%1,99287.9%OPEN →
Middle99.8%1,62291.8%OPEN →
Middle116.6%2,87491.0%OPEN →
Middle117.1%1,88789.1%OPEN →
Middle107.8%2,48984.7%OPEN →
Upper140.0%1,74959.4%OPEN →
Upper139.6%1,70677.5%OPEN →
Upper135.1%1,88085.4%OPEN →
Upper162.9%2,51291.2%OPEN →
Middle118.8%3,93271.2%OPEN →
Middle99.0%6,27543.0%OPEN →
Upper139.8%1,41725.4%OPEN →
Middle112.2%1,65017.8%OPEN →
Upper131.5%6,71911.9%OPEN →
—0.0%——OPEN →
—0.0%——OPEN →
Upper160.6%2,70313.4%OPEN →
—0.0%——OPEN →
Middle88.7%2,20595.7%OPEN →
Middle82.8%2,89397.4%OPEN →
Middle96.2%1,91198.2%OPEN →
Middle98.4%2,58298.0%OPEN →
Middle101.2%3,64596.0%OPEN →
Upper135.2%2,17095.4%OPEN →
Middle113.7%2,17397.0%OPEN →
Upper129.1%1,81896.5%OPEN →
Middle80.6%3,47395.2%OPEN →
Moderate79.9%3,29070.7%OPEN →
Middle104.7%3,44691.1%OPEN →
Moderate75.5%3,02358.0%OPEN →
Upper167.0%2,48112.2%OPEN →
Upper121.1%2,10036.5%OPEN →
Upper158.4%1,93631.1%OPEN →
Middle91.5%2,92826.2%OPEN →
Upper202.7%1,0427.8%OPEN →
Upper134.5%1,4024.2%OPEN →
Upper179.9%1,93419.3%OPEN →
Moderate77.2%2,00517.5%OPEN →
Middle112.9%2,83224.5%OPEN →
Moderate72.9%4,39151.6%OPEN →
Middle82.7%3,78375.1%OPEN →
Middle86.0%1,99088.1%OPEN →
Moderate66.3%4,04933.6%OPEN →
Middle116.0%2,77688.8%OPEN →
Middle83.9%3,07067.2%OPEN →
Middle99.0%3,02982.0%OPEN →
Middle101.3%3,78494.5%OPEN →
Upper127.2%2,19797.5%OPEN →
Middle82.1%4,08198.4%OPEN →
Middle115.4%2,44194.4%OPEN →
Middle83.8%2,37496.2%OPEN →
—0.0%2,07393.2%OPEN →
Moderate58.8%2,04096.2%OPEN →
Moderate63.2%1,32898.6%OPEN →
Middle110.2%1,34790.1%OPEN →
Moderate66.8%3,76995.2%OPEN →
—0.0%1,74392.7%OPEN →
Moderate76.3%3,17195.6%OPEN →
Moderate63.1%2,74292.6%OPEN →
Middle88.5%4,12575.5%OPEN →
Middle86.0%4,48984.2%OPEN →
Upper121.2%2,95771.7%OPEN →
Middle90.6%5,64772.0%OPEN →
Upper135.1%3,56271.4%OPEN →
Moderate78.9%4,52182.3%OPEN →
Moderate77.5%3,32780.1%OPEN →
Moderate79.3%3,78161.9%OPEN →
—0.0%——OPEN →
Moderate68.2%2,90782.1%OPEN →
Middle87.2%3,12194.5%OPEN →
Moderate78.7%2,58096.1%OPEN →
Middle101.4%4,83088.3%OPEN →
Moderate51.8%5,49588.9%OPEN →
Middle83.7%7,20188.0%OPEN →
Moderate75.5%4,96393.9%OPEN →
Moderate75.7%5,16595.0%OPEN →
Middle87.5%4,20695.0%OPEN →
Middle88.9%6,16798.0%OPEN →
Middle93.2%2,36298.2%OPEN →
Middle92.9%1,73398.3%OPEN →
Middle84.8%2,16099.1%OPEN →
Middle103.8%2,22698.5%OPEN →
Middle100.1%2,32498.5%OPEN →
Middle94.1%1,98698.8%OPEN →
Middle113.2%1,72899.1%OPEN →
Middle81.7%1,50998.3%OPEN →
—0.0%——OPEN →
Moderate78.0%1,96296.7%OPEN →
Middle81.4%3,56896.1%OPEN →
Middle81.3%2,47498.3%OPEN →
Middle87.7%3,80999.0%OPEN →
Moderate60.8%3,42798.9%OPEN →
Middle93.7%2,49998.2%OPEN →
Middle84.7%3,38596.0%OPEN →
Moderate65.7%3,41397.5%OPEN →
Moderate55.8%3,57097.2%OPEN →
Moderate67.1%3,12895.8%OPEN →
Middle85.2%3,74083.5%OPEN →
Moderate73.8%2,09874.4%OPEN →
Moderate78.4%2,73097.1%OPEN →
Middle88.0%2,12791.2%OPEN →
Middle111.3%1,37489.8%OPEN →
Moderate70.4%6,80497.4%OPEN →
Moderate61.7%5,51398.1%OPEN →
Low47.3%4,54798.5%OPEN →
Moderate57.2%4,00199.5%OPEN →
Moderate63.9%6,68397.8%OPEN →
—0.0%3,67398.1%OPEN →
Low49.5%3,83498.9%OPEN →
Moderate67.4%4,08198.3%OPEN →
Middle85.6%2,32998.5%OPEN →
Low42.6%5,43499.1%OPEN →
Moderate61.3%3,81798.0%OPEN →
Low36.8%4,53498.6%OPEN →
Low25.8%5,89397.3%OPEN →
Low30.1%5,81498.8%OPEN →
Low45.8%6,62799.4%OPEN →
Moderate54.8%5,30998.8%OPEN →
Moderate57.0%2,70398.9%OPEN →
Low45.0%3,49199.2%OPEN →
Moderate62.9%3,03199.4%OPEN →
Moderate53.3%3,62898.0%OPEN →
Upper130.1%2,86198.0%OPEN →
Middle111.6%2,56799.7%OPEN →
Moderate65.0%1,27799.0%OPEN →
Middle96.5%2,46698.4%OPEN →
Middle96.6%1,85499.8%OPEN →
Middle96.9%2,66297.5%OPEN →
Upper125.2%3,44798.3%OPEN →
Low31.4%2,81097.7%OPEN →
Upper126.1%2,07998.8%OPEN →
Middle113.1%3,17096.5%OPEN →
Upper121.7%5,15698.1%OPEN →
Middle84.5%4,39196.2%OPEN →
Middle86.8%3,77096.8%OPEN →
—0.0%——OPEN →
Middle98.1%1,70195.4%OPEN →
Upper124.5%2,62194.4%OPEN →
Moderate79.9%2,35395.9%OPEN →
Middle103.2%1,55595.8%OPEN →
Middle107.8%2,35795.2%OPEN →
Middle96.0%2,91195.0%OPEN →
Low29.2%4,07699.5%OPEN →
Middle115.3%2,07498.1%OPEN →
Middle101.0%2,81498.2%OPEN →
Middle108.8%3,08397.1%OPEN →
Upper130.8%1,65296.2%OPEN →
Middle108.5%2,05694.8%OPEN →
Middle113.3%2,11695.5%OPEN →
Middle87.2%4,05295.1%OPEN →
Middle117.7%4,23496.5%OPEN →
Middle98.0%2,90198.2%OPEN →
Middle118.4%2,66294.3%OPEN →
Middle112.9%2,18994.3%OPEN →
Middle101.7%2,60594.5%OPEN →
Middle104.7%2,11595.7%OPEN →
Middle98.8%2,26896.3%OPEN →
Middle119.6%1,55197.4%OPEN →
Middle98.6%2,03095.2%OPEN →
Upper136.7%2,18694.9%OPEN →
Middle88.3%2,31394.3%OPEN →
Middle117.1%2,25794.2%OPEN →
Middle118.4%2,97396.0%OPEN →
Upper123.7%1,75497.0%OPEN →
—0.0%5100.0%OPEN →
Low37.0%3,98096.1%OPEN →
—0.0%——OPEN →
Low31.4%7,01380.2%OPEN →
Low49.9%6,48282.2%OPEN →
Moderate51.4%3,54398.4%OPEN →
—0.0%——OPEN →
—0.0%——OPEN →
Middle109.6%4,11298.4%OPEN →
Moderate59.2%2,29098.0%OPEN →
Moderate70.9%5,06898.3%OPEN →
Low36.2%——OPEN →
Low39.5%——OPEN →
Middle84.6%3,43498.4%OPEN →
Middle82.6%3,50797.2%OPEN →
Moderate67.6%3,48098.5%OPEN →
Moderate56.3%3,51497.7%OPEN →
Moderate63.2%4,28897.8%OPEN →
Moderate77.1%4,36898.7%OPEN →
Moderate72.8%4,46196.1%OPEN →
Moderate76.8%4,46098.2%OPEN →
Moderate72.8%2,42798.8%OPEN →
Moderate51.6%2,65897.8%OPEN →
Middle84.1%1,88095.4%OPEN →
Middle87.1%2,67095.2%OPEN →
Moderate79.6%2,41497.0%OPEN →
Moderate77.7%3,13497.6%OPEN →
Moderate68.3%3,12398.1%OPEN →
Moderate69.0%3,49697.7%OPEN →
Low29.4%4,45297.5%OPEN →
Moderate75.1%3,26098.2%OPEN →
Moderate64.5%2,63099.5%OPEN →
Moderate70.5%2,37498.3%OPEN →
Moderate79.2%3,27598.4%OPEN →
Moderate74.5%3,48498.3%OPEN →
Moderate57.3%2,27397.5%OPEN →
—0.0%1,97497.7%OPEN →
Middle87.7%2,60298.1%OPEN →
Moderate59.9%4,26697.0%OPEN →
Moderate56.4%4,33197.6%OPEN →
Moderate78.6%2,76096.0%OPEN →
Moderate68.9%3,49297.4%OPEN →
Low34.6%1,82098.3%OPEN →
—0.0%——OPEN →
Middle81.5%3,34597.6%OPEN →
Moderate66.6%3,27597.7%OPEN →
Moderate69.6%5,43497.9%OPEN →
Middle97.0%3,14797.5%OPEN →
Moderate67.9%5,15697.7%OPEN →
—0.0%2,21797.2%OPEN →
Middle90.8%3,63698.0%OPEN →
Moderate53.4%4,32098.4%OPEN →
Moderate52.2%6,45898.3%OPEN →
Low43.5%3,69696.4%OPEN →
Moderate53.2%2,87397.5%OPEN →
Low43.5%1,97298.3%OPEN →
Middle103.8%3,99998.5%OPEN →
Low39.1%3,77099.6%OPEN →
—0.0%2,01095.7%OPEN →
Low19.2%3,68899.7%OPEN →
Low27.8%4,10098.6%OPEN →
Moderate57.2%6,16998.4%OPEN →
Low47.3%8,58617.5%OPEN →
Upper172.3%2,61632.3%OPEN →
Upper230.5%3,28754.6%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

2,631,580

Median household income

$80,263

Median home value

$905,000

Median gross rent

$1,833

per month

Owner-occupied

29.5%

of occupied units

Housing units

1,100,772

8.3% vacant

Poverty rate

19.1%

Unemployment

7.9%

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 99.3

Social vulnerability

Very High

Community resilience

Very Low

ELEVATED PERILS

Inland flooding Very High · Coastal flooding Relatively High · Hurricane Relatively High · Tornado Relatively High · Earthquake Relatively High · Hail Relatively High · Strong wind Very High · Heat wave Very 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

75

Declarations recorded

24

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

Everything we hold on Kings 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 Kings County.

HMDA loan-level (hmda_loan_wide, county_code)

Open the loan explorer for Kings County →Every reported application and origination in FIPS 36047, filterable on rate, amount, income, purpose and action taken. Loan-level tier.

VA

VA-guaranteed lending in Kings 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

37

—

Purchase share

62.2%

23 loans

IRRRL refinances

4

Cash-out refinances

10

202637—23410
202548—29613
202437—27010
202343—30112
2022——432631
2021173—357959
2020133—295252
201967—19741
201879—33442
2017112—293350
2016109—283150
2015124—473344

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 Kings 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

Kings 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

25

+0.0% vs 2024

Multifamily · 2025

6,819

−32.1% vs 2024

Total authorized · 2025

6,844

−32.0% vs 2024

Permit valuation · 2025

$1.2B

authorized construction value

Units authorized by year

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

UNITS · SF IN TOOLTIP
012.5K25K37.5K50K19901992199419961998200020022004200620082010201220142016201820202022202420256,844 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 Kings County, showing population movement and wealth transfer.

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

inflow2223New York County, NY14,12317,176$2.14B
outflow2223Queens County, NY12,18319,144$734.3M
inflow2223Queens County, NY8,13812,509$482.1M
outflow2223New York County, NY7,4219,588$992.1M
outflow2223Richmond County, NY4,5239,496$254.1M
outflow2223Nassau County, NY2,5714,754$278.7M
outflow2223Bronx County, NY2,4804,194$102.7M
inflow2223Bronx County, NY2,3563,950$90.9M
outflow2223Hudson County, NJ2,0142,859$197.7M
outflow2223Other flows - South, DS1,9073,219$123.8M
outflow2223Los Angeles County, CA1,8502,370$217.7M
inflow2223Other flows - South, DS1,8262,416$103.3M
outflow2223Suffolk County, NY1,7223,052$213.1M
outflow2223Essex County, NJ1,6212,965$167.8M
inflow2223Los Angeles County, CA1,6021,887$166.1M
inflow2223Richmond County, NY1,5732,694$98.0M
inflow2223Nassau County, NY1,4882,141$124.1M
outflow2223Westchester County, NY1,3712,456$285.2M
outflow2223Foreign - Overseas, FR1,2692,206$173.9M
inflow2223Suffolk County, NY1,2521,722$150.5M
outflow2223Philadelphia County, PA1,1982,026$92.3M
inflow2223Hudson County, NJ1,1421,524$117.0M
outflow2223Middlesex County, NJ1,0172,034$83.8M
outflow2223Union County, NJ9422,061$94.6M
inflow2223Westchester County, NY9421,219$86.0M
outflow2223Bergen County, NJ9211,619$121.8M
inflow2223Other flows - Midwest, DS9151,108$52.3M
inflow2223San Francisco County, CA885989$171.7M
inflow2223Cook County, IL879991$92.4M
outflow2223Miami-Dade County, FL8431,225$121.3M
outflow2223Broward County, FL8281,349$61.7M
inflow2223Middlesex County, MA812870$82.9M
inflow2223Essex County, NJ7921,175$55.6M
outflow2223Other flows - Midwest, DS7911,286$51.9M
outflow2223Monmouth County, NJ7851,585$121.9M
inflow2223District of Columbia, DC727784$81.0M
inflow2223Philadelphia County, PA721951$53.9M
inflow2223Other flows - West, DS682805$49.0M
outflow2223Cook County, IL665963$77.9M
outflow2223Ocean County, NJ6631,548$52.6M
inflow2223Suffolk County, MA641690$58.3M
outflow2223Orange County, NY6201,493$51.1M
inflow2223King County, WA601686$78.2M
inflow2223Foreign - Overseas, FR590920$61.2M
inflow2223Bergen County, NJ571759$48.4M
outflow2223Other flows - West, DS567802$52.0M
outflow2223Palm Beach County, FL542933$70.5M
outflow2223Western Connecticut Planning Regi, CT515940$144.9M
inflow2223Miami-Dade County, FL503630$48.9M
inflow2223Other flows - Northeast, DS500619$30.2M
outflow2223Rockland County, NY4801,366$50.3M
inflow2223Middlesex County, NJ461689$38.5M
outflow2223King County, WA459602$62.1M
outflow2223District of Columbia, DC454559$55.0M
outflow2223Other flows - Northeast, DS454725$41.6M
outflow2223Ulster County, NY450824$78.1M
outflow2223Middlesex County, MA435549$45.4M
outflow2223Harris County, TX434693$32.5M
inflow2223Western Connecticut Planning Regi, CT430502$55.3M
outflow2223Orange County, FL414715$25.4M
inflow2223Broward County, FL412567$22.2M
inflow2223Alameda County, CA412472$51.5M
inflow2223Travis County, TX389454$55.4M
outflow2223Dutchess County, NY377616$53.1M
inflow2223Santa Clara County, CA360407$61.1M
inflow2223Fulton County, GA356419$32.0M
outflow2223Mecklenburg County, NC344531$26.1M
inflow2223Monmouth County, NJ343515$37.1M
outflow2223Fulton County, GA341493$28.0M
inflow2223San Diego County, CA340390$28.6M
outflow2223Travis County, TX337447$54.4M
outflow2223San Francisco County, CA333407$52.4M
inflow2223Union County, NJ325463$21.0M
outflow2223South Central Connecticut Plannin, CT318506$30.5M
inflow2223Harris County, TX314403$24.7M
outflow2223Hillsborough County, FL312502$23.8M
inflow2223South Central Connecticut Plannin, CT308365$21.6M
outflow2223San Diego County, CA301394$31.4M
inflow2223Palm Beach County, FL298400$27.6M
outflow2223Lehigh County, PA297557$21.7M
inflow2223Orange County, CA290336$27.3M
inflow2223Rockland County, NY289529$19.1M
outflow2223Suffolk County, MA288351$34.6M
outflow2223Erie County, NY286597$15.7M
inflow2223Montgomery County, MD284324$24.1M
outflow2223Passaic County, NJ284494$19.4M
outflow2223Capitol Planning Region, CT283478$17.2M
outflow2223Monroe County, PA281496$22.9M
outflow2223Albany County, NY272433$16.5M
inflow2223Orange County, FL264415$15.1M
inflow2223Maricopa County, AZ263310$18.9M
outflow2223Alameda County, CA259349$27.8M
inflow2223Orange County, NY257522$13.8M
outflow2223Luzerne County, PA254524$8.6M
outflow2223DeKalb County, GA253383$20.5M
outflow2223Gwinnett County, GA248472$12.3M
inflow2223Allegheny County, PA246274$20.6M
outflow2223Mercer County, NJ244424$24.9M
inflow2223Multnomah County, OR244266$17.5M
outflow2223Greater Bridgeport Planning Regio, CT239440$25.0M
outflow2223Burlington County, NJ235474$16.9M
inflow2223Erie County, NY234300$13.6M
inflow2223Fairfax County, VA232271$21.3M
inflow2223Capitol Planning Region, CT231306$18.8M
inflow2223Norfolk County, MA228245$18.1M
outflow2223Denver County, CO221271$28.5M
outflow2223Wake County, NC220348$15.5M
inflow2223Dutchess County, NY218302$28.7M
outflow2223Osceola County, FL216399$12.2M
outflow2223Montgomery County, MD214325$19.5M
inflow2223Denver County, CO214235$19.6M
inflow2223Morris County, NJ212279$20.9M
outflow2223Sullivan County, NY209545$21.8M
outflow2223Morris County, NJ208351$23.7M
outflow2223Santa Clara County, CA207264$29.1M
outflow2223New Castle County, DE206358$13.4M
outflow2223Dallas County, TX205323$20.3M
inflow2223Albany County, NY205273$11.0M
inflow2223Dallas County, TX202239$16.7M
outflow2223Franklin County, OH200343$9.9M
inflow2223Ulster County, NY200380$32.5M
outflow2223Maricopa County, AZ199299$18.5M
outflow2223Multnomah County, OR199253$23.7M
outflow2223Somerset County, NJ197352$18.5M
inflow2223Montgomery County, PA195252$25.8M
inflow2223Hennepin County, MN192216$14.4M
outflow2223Bucks County, PA190395$14.5M
outflow2223Allegheny County, PA185259$15.0M
inflow2223Wake County, NC184216$11.4M
inflow2223Mercer County, NJ183240$14.7M
outflow2223Polk County, FL183376$11.8M
outflow2223Camden County, NJ182338$11.9M
outflow2223Monroe County, NY182284$12.7M
outflow2223Baltimore city, MD181256$11.3M
outflow2223Montgomery County, PA180311$20.4M
outflow2223Berks County, PA179350$6.5M
inflow2223Monroe County, NY174203$10.6M
outflow2223Naugatuck Valley Planning Region, CT174348$10.0M
outflow2223Prince George's County, MD172261$11.3M
outflow2223Providence County, RI172249$12.6M
outflow2223Fairfax County, VA169236$17.4M
inflow2223DeKalb County, GA168225$11.9M
inflow2223Providence County, RI167189$10.1M
inflow2223Ocean County, NJ166321$11.7M
inflow2223Mecklenburg County, NC164220$9.9M
outflow2223Orange County, CA161228$20.9M
inflow2223Hillsborough County, FL159204$10.1M
outflow2223Clark County, NV158245$10.6M
inflow2223Passaic County, NJ157237$8.2M
outflow2223Northampton County, PA156299$12.9M
outflow2223Davidson County, TN154195$13.8M
inflow2223Davidson County, TN152180$14.9M
outflow2223Columbia County, NY152222$23.9M
inflow2223Gwinnett County, GA151194$9.1M
inflow2223San Mateo County, CA150173$22.9M
inflow2223Greater Bridgeport Planning Regio, CT145198$10.6M
inflow2223Somerset County, NJ142184$17.8M
inflow2223Baltimore city, MD141181$10.2M
inflow2223Franklin County, OH140193$9.0M
outflow2223Baltimore County, MD140261$8.4M
outflow2223Norfolk County, MA140211$14.0M
outflow2223Delaware County, PA140248$13.3M
outflow2223Pasco County, FL138271$9.4M
inflow2223Essex County, MA137153$9.9M
inflow2223Onondaga County, NY137171$8.8M
inflow2223Cuyahoga County, OH136170$10.9M
inflow2223Oakland County, MI135144$10.5M
outflow2223Collin County, TX132239$10.3M
inflow2223Monroe County, PA129229$9.2M
inflow2223Clark County, NV127147$8.4M
outflow2223Onondaga County, NY126189$7.3M
inflow2223Bucks County, PA126172$10.5M
outflow2223Hennepin County, MN125166$12.7M
inflow2223Prince George's County, MD123155$6.6M
outflow2223Pinellas County, FL122215$9.2M
inflow2223Lehigh County, PA122204$4.5M
outflow2223Foreign - Puerto Rico, FR119166$6.9M
inflow2223Baltimore County, MD119161$6.8M
inflow2223Naugatuck Valley Planning Region, CT118160$6.6M
outflow2223Fort Bend County, TX117268$9.7M
inflow2223Arlington County, VA117127$12.0M
outflow2223Duval County, FL116161$8.5M
outflow2223Schenectady County, NY116206$5.9M
outflow2223St. Lucie County, FL115210$6.5M
outflow2223Cobb County, GA115187$7.0M
outflow2223Wayne County, MI115242$5.7M
outflow2223Cuyahoga County, OH113186$7.1M
inflow2223Contra Costa County, CA112133$12.4M
inflow2223Wayne County, MI110158$7.6M
outflow2223Seminole County, FL108176$7.7M
outflow2223Tarrant County, TX108179$6.5M
inflow2223Collin County, TX108122$9.2M
inflow2223Duval County, FL106152$4.5M
inflow2223New Castle County, DE106143$7.2M
outflow2223Cumberland County, ME104156$12.6M
outflow2223Essex County, MA103150$6.4M
inflow2223Honolulu County, HI103132$6.4M
outflow2223Arlington County, VA100126$11.8M
inflow2223Burlington County, NJ100132$6.1M
outflow2223Broome County, NY99195$5.9M

UAD APPRAISALS

FHFA Uniform Appraisal Dataset aggregates for Kings County.

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

2023PurchaseNo CharacteristicAll Appraisals1,285.0
2023PurchaseNo CharacteristicAll Appraisals0.5
2023RefinanceNo CharacteristicAll Appraisals594.0
2023PurchaseNo CharacteristicAll Appraisals1.0
2023BothNo CharacteristicAll Appraisals1,879.0
2023PurchaseNo CharacteristicAll Appraisals0.5
2023PurchaseNo CharacteristicAll Appraisals1.0
2023RefinanceNo CharacteristicAll Appraisals1,190,000.0
2023BothNo CharacteristicAll Appraisals960,000.0
2023PurchaseNo CharacteristicAll Appraisals930,000.0
2023PurchaseNo CharacteristicAll Appraisals0.0
2022PurchaseNo CharacteristicAll Appraisals1.0
2022BothNo CharacteristicAll Appraisals997,000.0
2022PurchaseNo CharacteristicAll Appraisals0.5
2022PurchaseNo CharacteristicAll Appraisals975,000.0
2022PurchaseNo CharacteristicAll Appraisals1.0
2022RefinanceNo CharacteristicAll Appraisals1,198.0
2022PurchaseNo CharacteristicAll Appraisals0.1
2022PurchaseNo CharacteristicAll Appraisals0.4
2022RefinanceNo CharacteristicAll Appraisals1,117,500.0
2022BothNo CharacteristicAll Appraisals2,825.0
2022PurchaseNo CharacteristicAll Appraisals1,627.0
2021PurchaseNo CharacteristicAll Appraisals1.0
2021RefinanceNo CharacteristicAll Appraisals1,215,000.0
2021BothNo CharacteristicAll Appraisals5,493.0
2021PurchaseNo CharacteristicAll Appraisals1.0
2021PurchaseNo CharacteristicAll Appraisals2,150.0
2021PurchaseNo CharacteristicAll Appraisals0.5
2021RefinanceNo CharacteristicAll Appraisals3,343.0
2021PurchaseNo CharacteristicAll Appraisals0.1
2021BothNo CharacteristicAll Appraisals1,100,000.0
2021PurchaseNo CharacteristicAll Appraisals0.4
2021PurchaseNo CharacteristicAll Appraisals940,000.0
2020PurchaseNo CharacteristicAll Appraisals0.1
2020PurchaseNo CharacteristicAll Appraisals1.0
2020BothNo CharacteristicAll Appraisals5,087.0
2020PurchaseNo CharacteristicAll Appraisals1,432.0
2020PurchaseNo CharacteristicAll Appraisals0.5
2020BothNo CharacteristicAll Appraisals1,000,000.0
2020RefinanceNo CharacteristicAll Appraisals1,100,000.0
2020RefinanceNo CharacteristicAll Appraisals3,655.0
2020PurchaseNo CharacteristicAll Appraisals870,000.0
2020PurchaseNo CharacteristicAll Appraisals1.0
2020PurchaseNo CharacteristicAll Appraisals0.5
2019PurchaseNo CharacteristicAll Appraisals0.1
2019PurchaseNo CharacteristicAll Appraisals1.0
2019BothNo CharacteristicAll Appraisals900,000.0
2019PurchaseNo CharacteristicAll Appraisals1,478.0
2019PurchaseNo CharacteristicAll Appraisals0.5
2019PurchaseNo CharacteristicAll Appraisals1.0
2019RefinanceNo CharacteristicAll Appraisals990,000.0
2019BothNo CharacteristicAll Appraisals3,844.0
2019RefinanceNo CharacteristicAll Appraisals2,366.0
2019PurchaseNo CharacteristicAll Appraisals830,000.0
2019PurchaseNo CharacteristicAll Appraisals0.5
2018RefinanceNo CharacteristicAll Appraisals870,000.0
2018BothNo CharacteristicAll Appraisals2,764.0
2018PurchaseNo CharacteristicAll Appraisals1,401.0
2018RefinanceNo CharacteristicAll Appraisals1,363.0
2018BothNo CharacteristicAll Appraisals833,000.0
2018PurchaseNo CharacteristicAll Appraisals805,000.0
2018PurchaseNo CharacteristicAll Appraisals0.4
2018PurchaseNo CharacteristicAll Appraisals0.1
2018PurchaseNo CharacteristicAll Appraisals0.5
2018PurchaseNo CharacteristicAll Appraisals1.0
2018PurchaseNo CharacteristicAll Appraisals1.0
2017RefinanceNo CharacteristicAll Appraisals780,000.0
2017PurchaseNo CharacteristicAll Appraisals1.0
2017PurchaseNo CharacteristicAll Appraisals1.0
2017PurchaseNo CharacteristicAll Appraisals0.4
2017PurchaseNo CharacteristicAll Appraisals0.1
2017BothNo CharacteristicAll Appraisals3,236.0
2017PurchaseNo CharacteristicAll Appraisals1,489.0
2017PurchaseNo CharacteristicAll Appraisals800,000.0
2017RefinanceNo CharacteristicAll Appraisals1,747.0
2017PurchaseNo CharacteristicAll Appraisals0.4
2017BothNo CharacteristicAll Appraisals793,000.0
2016PurchaseNo CharacteristicAll Appraisals1,380.0
2016RefinanceNo CharacteristicAll Appraisals750,000.0
2016PurchaseNo CharacteristicAll Appraisals1.0
2016PurchaseNo CharacteristicAll Appraisals700,000.0
2016PurchaseNo CharacteristicAll Appraisals0.4
2016PurchaseNo CharacteristicAll Appraisals0.2
2016BothNo CharacteristicAll Appraisals735,000.0
2016PurchaseNo CharacteristicAll Appraisals1.0
2016PurchaseNo CharacteristicAll Appraisals0.4
2016BothNo CharacteristicAll Appraisals3,750.0
2016RefinanceNo CharacteristicAll Appraisals2,370.0
2015PurchaseNo CharacteristicAll Appraisals1.0
2015PurchaseNo CharacteristicAll Appraisals650,000.0
2015PurchaseNo CharacteristicAll Appraisals0.4
2015RefinanceNo CharacteristicAll Appraisals710,000.0
2015BothNo CharacteristicAll Appraisals3,316.0
2015RefinanceNo CharacteristicAll Appraisals1,961.0
2015PurchaseNo CharacteristicAll Appraisals0.2
2015PurchaseNo CharacteristicAll Appraisals0.4
2015PurchaseNo CharacteristicAll Appraisals1,355.0
2015BothNo CharacteristicAll Appraisals675,000.0
2015PurchaseNo CharacteristicAll Appraisals1.0
2014BothNo CharacteristicAll Appraisals600,000.0

ECONOMY & INCOME

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

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

BLS Local Area Unemployment

2026-051,344,0601,277,81366,2474.9%
2026-041,346,2081,279,87466,3344.9%
2026-031,356,3261,288,18968,1375.0%
2026-021,362,0371,279,39782,6406.1%
2026-011,350,6361,274,82375,8135.6%
2025-121,352,4061,278,18874,2185.5%
2025-111,357,5261,279,28878,2385.8%
2025-091,349,5481,267,65981,8896.1%
2025-081,353,4631,270,15783,3066.2%
2025-071,350,6461,268,52982,1176.1%
2025-061,339,3151,268,13171,1845.3%
2025-051,327,4751,263,20064,2754.8%
2025-041,340,9311,276,49064,4414.8%
2025-031,346,6881,281,56765,1214.8%
2025-021,344,2421,279,74264,5004.8%
2025-011,332,4701,266,24166,2295.0%
2024-121,328,6281,265,31363,3154.8%
2024-111,332,2571,264,03268,2255.1%
2024-101,336,8521,267,22469,6285.2%
2024-091,329,0221,261,70167,3215.1%
2024-081,343,6481,264,00979,6395.9%
2024-071,342,7501,262,03880,7126.0%
2024-061,334,5811,263,13471,4475.4%
2024-051,321,4641,257,30064,1644.9%
2024-041,326,3581,264,66961,6894.7%
2024-031,329,9641,265,96663,9984.8%
2024-021,324,6851,258,11966,5665.0%
2024-011,308,7491,245,00463,7454.9%
2023-121,301,6821,240,64961,0334.7%
2023-111,311,7311,250,86060,8714.6%
2023-101,311,9931,243,56468,4295.2%
2023-091,300,7051,235,64665,0595.0%
2023-081,313,8861,241,65572,2315.5%
2023-071,311,1771,242,07069,1075.3%
2023-061,305,1301,237,55467,5765.2%
2023-051,298,2121,235,17463,0384.9%
2023-041,294,1961,233,00161,1954.7%
2023-031,305,2641,239,65965,6055.0%
2023-021,302,7361,232,63970,0975.4%
2023-011,285,3981,216,81768,5815.3%
2022-121,287,8201,224,73463,0864.9%
2022-111,285,6841,222,21863,4664.9%
2022-101,287,3831,223,17864,2055.0%
2022-091,273,5851,215,61057,9754.6%
2022-081,282,7971,215,21267,5855.3%
2022-071,283,2421,212,04871,1945.5%
2022-061,277,8081,207,73170,0775.5%
2022-051,274,0461,206,53867,5085.3%
2022-041,273,6501,200,77472,8765.7%
2022-031,283,0111,203,71379,2986.2%
2022-021,284,3531,195,41088,9436.9%
2022-011,279,7661,181,20798,5597.7%
2021-121,274,3031,179,92194,3827.4%
2021-111,275,1461,179,55595,5917.5%
2021-101,277,8251,173,991103,8348.1%
2021-091,268,9071,159,626109,2818.6%
2021-081,283,4031,155,491127,91210.0%
2021-071,286,0031,151,889134,11410.4%
2021-061,281,1371,144,575136,56210.7%
2021-051,261,6661,136,070125,59610.0%
2021-041,275,6461,137,878137,76810.8%
2021-031,278,6831,135,817142,86611.2%
2021-021,273,6741,121,055152,61912.0%
2021-011,260,7851,103,299157,48612.5%
2020-121,242,6571,096,100146,55711.8%
2020-111,246,3321,094,512151,82012.2%
2020-101,249,1101,089,031160,07912.8%
2020-091,238,3251,063,914174,41114.1%
2020-081,251,0241,066,669184,35514.7%
2020-071,254,5661,039,529215,03717.1%
2020-061,239,3191,031,251208,06816.8%
2020-051,186,093936,252249,84121.1%
2020-041,133,255998,469134,78611.9%
2020-031,325,2791,256,03369,2465.2%
2020-021,333,7401,278,79854,9424.1%
2020-011,321,2591,268,18753,0724.0%
2019-121,309,3281,265,75243,5763.3%
2019-111,310,0301,263,28846,7423.6%
2019-101,319,1581,268,23650,9223.9%
2019-091,309,5521,262,04247,5103.6%
2019-081,311,8991,257,34154,5584.2%
2019-071,313,9441,257,71156,2334.3%
2019-061,311,7031,260,10751,5963.9%
2019-051,304,2421,254,38849,8543.8%
2019-041,309,8611,262,05047,8113.7%
2019-031,320,3081,267,15453,1544.0%
2019-021,319,9111,262,69957,2124.3%
2019-011,309,4941,248,65760,8374.6%
2018-121,308,8991,256,90551,9944.0%
2018-111,302,3661,252,82349,5433.8%
2018-101,310,4671,258,84151,6263.9%
2018-091,297,1371,246,08951,0483.9%
2018-081,307,3481,250,58956,7594.3%
2018-071,314,2181,256,06358,1554.4%
2018-061,313,1901,257,61155,5794.2%
2018-051,302,5221,256,08046,4423.6%
2018-041,308,8171,257,93650,8813.9%
2018-031,317,3231,262,73354,5904.1%
2018-021,323,2491,265,83657,4134.3%
2018-011,308,9381,250,66658,2724.5%

BEA Personal Income

2024$181.73B2,617,631$69K
2023$173.79B2,592,937$67K
2022$165.06B2,596,607$64K
2021$163.98B2,634,268$62K
2020$151.81B2,716,455$56K
2019$140.24B2,737,209$51K
2018$132.23B2,736,071$48K
2017$125.43B2,731,444$46K
2016$116.24B2,726,337$43K
2015$111.31B2,708,040$41K
2014$104.41B2,681,874$39K
2013$99.34B2,649,210$37K
2012$96.32B2,611,093$37K
2011$93.05B2,564,525$36K
2010$87.84B2,514,665$35K
2009$83.56B2,487,751$34K
2008$83.14B2,460,361$34K
2007$80.00B2,441,324$33K
2006$74.37B2,436,132$31K
2005$69.93B2,445,809$29K
2004$69.05B2,459,094$28K
2003$65.20B2,472,999$26K
2002$64.49B2,480,559$26K
2001$64.39B2,477,252$26K
2000$62.30B2,467,006$25K
1999$58.57B2,447,352$24K
1998$54.92B2,422,434$23K
1997$52.45B2,401,148$22K
1996$50.75B2,383,703$21K
1995$48.60B2,372,611$20K
1994$46.24B2,361,668$20K
1993$45.04B2,347,687$19K
1992$43.90B2,327,759$19K
1991——$18K

NFIP FLOOD CLAIMS

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

FEMA NFIP redacted claims (nfip_claim, county_code)

2026-07-06$0——No
2026-06-10$0$0$0No
2026-06-06$0——No
2026-05-20$0——Yes
2026-05-20$5K$5K$0Yes
2026-05-20$0$0$0Yes
2026-05-20$3K$3K$0Yes
2026-05-20$0$0$0Yes
2026-03-06$0——Yes
2026-03-05$0$0$0Yes
2026-03-05$6K$6K$0Yes
2026-02-03$23K$23K$0Yes
2025-10-31$0——Yes
2025-10-30$23K$23K$0No
2025-10-30$53K$53K$0No
2025-10-30$6K$6K$0No
2025-10-30$7K$7K$0Yes
2025-10-30$2K$2K$0Yes
2025-10-30$4K$4K$0No
2025-10-30$21K$21K$0Yes
2025-10-30$44K$44K$0No
2025-10-30$52K$52K$0No
2025-10-30$0$0$0Yes
2025-10-30$14K$14K$0Yes
2025-10-30$5K$5K$0No
2025-10-30$16K$15K$721.02Yes
2025-10-30$12K$12K$0No
2025-10-30$6K$6K$0No
2025-10-30$21K$21K$0No
2025-10-30$0——No
2025-10-30$2K$2K$0No
2025-10-30$3K$0$3KNo
2025-10-30$48K$48K$0No
2025-10-29$7K$7K$0Yes
2025-10-13$16K$16K$0No
2025-07-31$0$0$0Yes
2025-07-31$464.94$464.94$0Yes
2025-07-31$0$0$0Yes
2025-07-31$33K$33K$0No
2025-07-31$2K$2K$0Yes
2025-07-31$5K$5K$0No
2025-07-14$11K$11K$0No
2025-07-14$130K$130K$0No
2025-03-02$0$0$0No
2024-11-23$0——No
2024-08-18$0$0$0Yes
2024-08-15$0$0$0Yes
2024-06-30$0$0$0Yes
2024-06-14$0——Yes
2024-04-28$0$0$0Yes
2024-04-23$10K$10K$0Yes
2024-04-09$0$0$0Yes
2024-04-03$9K$9K$0Yes
2024-04-03$9K$8K$386.08Yes
2024-03-25$4K$4K$577.69Yes
2024-03-23$0——Yes
2024-01-30$0$0$0Yes
2024-01-13$13K$13K$0No
2024-01-09$0$0$0Yes
2024-01-01$0——Yes
2023-12-20$0$0$0Yes
2023-12-18$0$0$0Yes
2023-10-23$0——Yes
2023-10-02$0$0$0No
2023-10-01$0$0$0Yes
2023-09-30$0——Yes
2023-09-30$8K$7K$601.31Yes
2023-09-30$7K$7K$0Yes
2023-09-30$8K$8K$0Yes
2023-09-29$2K$2K$0No
2023-09-29$73K$73K$0No
2023-09-29$4K$4K$0Yes
2023-09-29$37K$37K$0No
2023-09-29$13K$13K$0No
2023-09-29$0$0$0No
2023-09-29$0$0$0Yes
2023-09-29$46K$93K$0No
2023-09-29$7K$7K$0Yes
2023-09-29$3K$3K$0Yes
2023-09-29$86K$86K$0No
2023-09-29$0$0$0Yes
2023-09-29$25K$25K$0No
2023-09-29$0——Yes
2023-09-29$0$0$0No
2023-09-29$22K$19K$3KYes
2023-09-29$18K$18K$0No
2023-09-29$14K$14K$0Yes
2023-09-29$0$0$0Yes
2023-09-29$137.03$137.03$0No
2023-09-29$85K$80K$5KYes
2023-09-29$17K$17K$0Yes
2023-09-29$26K$26K$0No
2023-09-29$617K$617K$0No
2023-09-29$0$0$0Yes
2023-09-29$6K$6K$0Yes
2023-09-29$15K$0$15KNo
2023-09-29$135K$135K$0No
2023-09-29$14K$14K$0Yes
2023-09-29$18K$18K$0Yes
2023-09-29$17K$17K$0No

ALSO CHECKED

18 more data areas were checked for Kings 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 KINGS COUNTY →Opens the loan explorer already filtered to county FIPS 36047.

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.