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MortRadarTERMINAL
State markets/Hawaii/Honolulu County

COUNTY MORTGAGE MARKET · FIPS 15003

Honolulu County, Hawaii

Who lends in Honolulu 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

$8.07B

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

Originations · 2025

13,362

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

Denial rate · 2025

21.2%

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

Lenders active · 2025

262

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

Concentration (HHI)

411

unconcentrated

Top-5 lender share

37.4%

of originations

Purchase

63.0%

6,771 loans

Refinance

37.0%

3,982 loans

Origination trend

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

Lenders in Honolulu 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 Honolulu 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 HONOLULU COUNTY →

TOP TEN LENDERS IN HONOLULU 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.

1,473$875.0M$875.0M originated in Honolulu County, 2025—Share needs a county-wide denominator, which the narrower fallback source does not carry.—
867$631.1M$631.1M originated in Honolulu County, 2025—Share needs a county-wide denominator, which the narrower fallback source does not carry.—
3$598.9M$598.9M originated in Honolulu County, 2025—Share needs a county-wide denominator, which the narrower fallback source does not carry.—
1,055$469.3M$469.3M originated in Honolulu County, 2025—Share needs a county-wide denominator, which the narrower fallback source does not carry.—
1,097$438.6M$438.6M originated in Honolulu County, 2025—Share needs a county-wide denominator, which the narrower fallback source does not carry.—
646$367.2M$367.2M originated in Honolulu County, 2025—Share needs a county-wide denominator, which the narrower fallback source does not carry.—
423$330.5M$330.5M originated in Honolulu County, 2025—Share needs a county-wide denominator, which the narrower fallback source does not carry.—
576$259.8M$259.8M originated in Honolulu County, 2025—Share needs a county-wide denominator, which the narrower fallback source does not carry.—
325$229.2M$229.2M originated in Honolulu County, 2025—Share needs a county-wide denominator, which the narrower fallback source does not carry.—
296$223.8M$223.8M originated in Honolulu 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 Honolulu County

All 38 ZIP Code Tabulation Areas that touch Honolulu 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.
38 OF 38 ZIP AREASEVERY ZIP AREA TOUCHING THE COUNTY — NO ROWS WITHHELD
TOP LENDERRECORDS
1717 of the 18 Honolulu County tracts this ZIP area touches sit mostly inside it.76,37686.2%13,703——TRACTS →HMDA reports no ZIP. This opens the ZIP area's tract list, where each tract's records open exactly.
2222 of the 24 Honolulu County tracts this ZIP area touches sit mostly inside it.73,88895.1%12,564——TRACTS →HMDA reports no ZIP. This opens the ZIP area's tract list, where each tract's records open exactly.
1616 of the 17 Honolulu County tracts this ZIP area touches sit mostly inside it.57,75780.8%12,312——TRACTS →HMDA reports no ZIP. This opens the ZIP area's tract list, where each tract's records open exactly.
1717 of the 18 Honolulu County tracts this ZIP area touches sit mostly inside it.55,26893.7%6,049——TRACTS →HMDA reports no ZIP. This opens the ZIP area's tract list, where each tract's records open exactly.
1717 of the 22 Honolulu County tracts this ZIP area touches sit mostly inside it.54,52092.1%8,012——TRACTS →HMDA reports no ZIP. This opens the ZIP area's tract list, where each tract's records open exactly.
1515 of the 15 Honolulu County tracts this ZIP area touches sit mostly inside it.53,91384.6%9,766——TRACTS →HMDA reports no ZIP. This opens the ZIP area's tract list, where each tract's records open exactly.
1919 of the 19 Honolulu County tracts this ZIP area touches sit mostly inside it.53,66472.6%6,614——TRACTS →HMDA reports no ZIP. This opens the ZIP area's tract list, where each tract's records open exactly.
1313 of the 13 Honolulu County tracts this ZIP area touches sit mostly inside it.51,96590.8%7,151——TRACTS →HMDA reports no ZIP. This opens the ZIP area's tract list, where each tract's records open exactly.
1717 of the 18 Honolulu County tracts this ZIP area touches sit mostly inside it.51,71287.0%13,254——TRACTS →HMDA reports no ZIP. This opens the ZIP area's tract list, where each tract's records open exactly.
1919 of the 23 Honolulu County tracts this ZIP area touches sit mostly inside it.50,29283.1%10,480——TRACTS →HMDA reports no ZIP. This opens the ZIP area's tract list, where each tract's records open exactly.
1515 of the 16 Honolulu County tracts this ZIP area touches sit mostly inside it.48,21156.9%9,884——TRACTS →HMDA reports no ZIP. This opens the ZIP area's tract list, where each tract's records open exactly.
1212 of the 14 Honolulu County tracts this ZIP area touches sit mostly inside it.45,22989.1%9,893——TRACTS →HMDA reports no ZIP. This opens the ZIP area's tract list, where each tract's records open exactly.
1717 of the 18 Honolulu County tracts this ZIP area touches sit mostly inside it.44,10480.8%10,536——TRACTS →HMDA reports no ZIP. This opens the ZIP area's tract list, where each tract's records open exactly.
1717 of the 18 Honolulu County tracts this ZIP area touches sit mostly inside it.40,53775.6%3,946——TRACTS →HMDA reports no ZIP. This opens the ZIP area's tract list, where each tract's records open exactly.
1414 of the 17 Honolulu County tracts this ZIP area touches sit mostly inside it.39,11692.9%8,033——TRACTS →HMDA reports no ZIP. This opens the ZIP area's tract list, where each tract's records open exactly.
1313 of the 13 Honolulu County tracts this ZIP area touches sit mostly inside it.31,14774.5%8,366——TRACTS →HMDA reports no ZIP. This opens the ZIP area's tract list, where each tract's records open exactly.
1616 of the 17 Honolulu County tracts this ZIP area touches sit mostly inside it.30,64866.9%6,640——TRACTS →HMDA reports no ZIP. This opens the ZIP area's tract list, where each tract's records open exactly.
1111 of the 14 Honolulu County tracts this ZIP area touches sit mostly inside it.28,53984.0%5,277——TRACTS →HMDA reports no ZIP. This opens the ZIP area's tract list, where each tract's records open exactly.
1111 of the 16 Honolulu County tracts this ZIP area touches sit mostly inside it.26,39086.5%3,895——TRACTS →HMDA reports no ZIP. This opens the ZIP area's tract list, where each tract's records open exactly.
1010 of the 12 Honolulu County tracts this ZIP area touches sit mostly inside it.26,23584.3%4,618——TRACTS →HMDA reports no ZIP. This opens the ZIP area's tract list, where each tract's records open exactly.
55 of the 7 Honolulu County tracts this ZIP area touches sit mostly inside it.18,96080.1%5,217——TRACTS →HMDA reports no ZIP. This opens the ZIP area's tract list, where each tract's records open exactly.
44 of the 5 Honolulu County tracts this ZIP area touches sit mostly inside it.12,59665.0%2,056——TRACTS →HMDA reports no ZIP. This opens the ZIP area's tract list, where each tract's records open exactly.
44 of the 5 Honolulu County tracts this ZIP area touches sit mostly inside it.11,06488.7%1,687——TRACTS →HMDA reports no ZIP. This opens the ZIP area's tract list, where each tract's records open exactly.
11 of the 1 Honolulu County tract this ZIP area touches sit mostly inside it.7,39178.3%502——OPEN →This ZIP area is one census tract here, so its records open directly and exactly.
33 of the 4 Honolulu County tracts this ZIP area touches sit mostly inside it.5,91074.9%866——TRACTS →HMDA reports no ZIP. This opens the ZIP area's tract list, where each tract's records open exactly.
22 of the 4 Honolulu County tracts this ZIP area touches sit mostly inside it.5,80064.1%995——TRACTS →HMDA reports no ZIP. This opens the ZIP area's tract list, where each tract's records open exactly.
11 of the 1 Honolulu County tract this ZIP area touches sit mostly inside it.3,29243.3%0——OPEN →This ZIP area is one census tract here, so its records open directly and exactly.
0This ZIP area clips 2 tracts of Honolulu County but is the dominant ZIP for none of them, so it owns no figures here.—————TRACTS →HMDA reports no ZIP. This opens the ZIP area's tract list, where each tract's records open exactly.
0This ZIP area clips 2 tracts of Honolulu 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 Honolulu 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 Honolulu 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 Honolulu 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 Honolulu 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 Honolulu County but is the dominant ZIP for none of them, so it owns no figures here.—————TRACTS →HMDA reports no ZIP. This opens the ZIP area's tract list, where each tract's records open exactly.
0This ZIP area clips 2 tracts of Honolulu 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 Honolulu 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 Honolulu 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 Honolulu 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.

328 of Honolulu County’s 330 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 Honolulu County

All 330 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.

330 OF 330 TRACTSEVERY TRACT IN THE COUNTY — NO ROWS WITHHELD
TOP LENDERRECORDS
Upper126.4%2,74076.2%OPEN →
Upper138.2%3,21362.8%OPEN →
Upper156.3%4,25474.5%OPEN →
Upper223.9%1,72657.6%OPEN →
Middle107.6%2,77473.7%OPEN →
Middle95.4%2,50069.2%OPEN →
Middle99.8%1,46476.8%OPEN →
Upper154.3%1,77176.2%OPEN →
Upper142.4%2,19586.6%OPEN →
Upper148.1%2,62480.8%OPEN →
Upper139.3%2,77466.4%OPEN →
Upper147.8%3,11291.0%OPEN →
Upper167.6%5,74582.1%OPEN →
Upper175.9%3,60879.3%OPEN →
Upper141.7%2,70281.1%OPEN →
Upper149.7%2,75876.4%OPEN →
Upper186.6%4,14779.7%OPEN →
Upper161.1%3,87272.3%OPEN →
Upper149.4%1,27669.1%OPEN →
Middle108.8%3,21588.9%OPEN →
Middle116.3%3,77085.6%OPEN →
Upper120.0%2,62284.0%OPEN →
Upper121.0%3,03985.5%OPEN →
Middle114.8%1,97573.7%OPEN →
Upper146.8%2,35769.6%OPEN →
Middle91.5%3,14579.7%OPEN →
Moderate66.9%1,96193.8%OPEN →
Middle89.0%2,24991.3%OPEN →
Middle106.7%3,02288.2%OPEN →
Middle102.5%3,25487.3%OPEN →
Moderate71.7%4,43787.7%OPEN →
Upper142.9%2,65585.9%OPEN →
Middle112.1%1,47390.0%OPEN →
Middle119.6%2,33486.2%OPEN →
Middle100.4%1,98181.7%OPEN →
Upper120.4%1,78481.9%OPEN →
Middle92.8%2,33348.7%OPEN →
Middle106.6%1,11958.9%OPEN →
Moderate79.6%2,91161.7%OPEN →
Moderate60.8%1,78559.8%OPEN →
Middle87.3%42346.6%OPEN →
Upper159.6%1,37754.9%OPEN →
Middle111.6%2,87764.9%OPEN →
Middle93.1%2,54659.4%OPEN →
Moderate71.5%2,12666.2%OPEN →
Moderate73.2%1,14064.7%OPEN →
Moderate74.8%1,89965.9%OPEN →
Low49.9%2,26767.5%OPEN →
Low44.5%1,74686.5%OPEN →
Middle89.7%1,83985.6%OPEN →
Middle90.7%1,83680.0%OPEN →
Middle95.8%1,30879.5%OPEN →
Middle109.9%1,88883.4%OPEN →
Moderate54.9%1,96189.0%OPEN →
Middle91.8%3,29385.2%OPEN →
Middle80.0%2,08788.8%OPEN →
Moderate67.8%2,91288.6%OPEN →
Moderate64.5%1,56790.0%OPEN →
Moderate55.2%1,42386.9%OPEN →
Moderate79.3%3,94187.8%OPEN →
Moderate72.6%4,17487.8%OPEN →
Upper126.1%4,07869.1%OPEN →
Middle81.7%4,70582.5%OPEN →
Middle105.3%1,77882.1%OPEN →
Middle102.3%2,35372.5%OPEN →
Upper140.8%2,25176.6%OPEN →
Upper158.3%4,30578.5%OPEN →
Upper136.0%3,34586.9%OPEN →
Upper129.8%1,56790.3%OPEN →
Upper184.3%2,17575.8%OPEN →
Moderate65.6%4,51782.1%OPEN →
Moderate65.8%2,25688.7%OPEN →
Moderate67.5%1,90188.2%OPEN →
Moderate50.3%1,48289.0%OPEN →
Moderate72.4%1,23179.8%OPEN →
Middle80.2%1,61877.8%OPEN →
Moderate75.3%2,53283.4%OPEN →
Middle87.9%4,11879.3%OPEN →
Moderate76.1%2,28683.9%OPEN →
Moderate76.3%1,50091.7%OPEN →
Moderate61.9%2,71287.9%OPEN →
Moderate59.0%3,18191.4%OPEN →
Moderate71.7%2,55489.3%OPEN →
Moderate70.4%1,03688.6%OPEN →
Middle97.5%3,05882.4%OPEN →
Moderate67.4%2,52279.3%OPEN →
Middle92.7%3,92979.6%OPEN →
Middle90.4%3,45778.0%OPEN →
Moderate50.9%4,90982.6%OPEN →
Middle102.5%5,11482.6%OPEN →
—0.0%55969.2%OPEN →
Middle105.6%1,62768.7%OPEN →
—0.0%1,61883.1%OPEN →
Moderate76.8%2,43885.2%OPEN →
Moderate72.0%1,60285.2%OPEN →
Upper127.8%1,92278.3%OPEN →
Middle90.6%2,27375.5%OPEN →
Middle83.6%3,31390.0%OPEN →
Middle104.5%2,53692.4%OPEN →
Upper129.7%2,55093.2%OPEN →
Upper123.0%5,36081.0%OPEN →
Upper179.1%3,88390.2%OPEN →
Upper139.9%2,30588.0%OPEN →
Upper143.4%2,47790.5%OPEN →
Upper136.9%3,07995.0%OPEN →
Middle115.6%3,87394.2%OPEN →
Moderate77.1%3,35195.8%OPEN →
Moderate73.3%4,10692.1%OPEN →
Moderate54.2%2,90586.4%OPEN →
Moderate65.0%3,00189.9%OPEN →
Low46.4%4,30293.4%OPEN →
Low34.8%1,54599.8%OPEN →
Moderate62.1%2,15797.7%OPEN →
—0.0%1,80898.2%OPEN →
Moderate71.9%5,12499.1%OPEN →
Moderate60.0%2,48384.6%OPEN →
Moderate67.4%3,32298.6%OPEN →
Moderate62.0%2,99490.7%OPEN →
Middle82.6%5,66199.2%OPEN →
Middle110.8%4,51798.6%OPEN →
Low30.4%2,70598.5%OPEN →
Moderate69.3%6,42598.5%OPEN →
Middle96.8%4,06896.8%OPEN →
Low44.6%3,15298.2%OPEN →
Middle102.9%2,36298.2%OPEN →
Middle100.7%6,39395.4%OPEN →
Upper130.2%4,69491.0%OPEN →
Middle82.0%1,72577.7%OPEN →
Middle105.7%7,16285.0%OPEN →
Upper140.7%1,75896.8%OPEN →
Moderate66.6%2,37459.2%OPEN →
Moderate69.0%——OPEN →
Upper123.1%1,36393.5%OPEN →
Upper130.2%4,68091.4%OPEN →
Middle86.0%2,44294.0%OPEN →
Moderate50.4%2,16591.8%OPEN →
Middle109.1%2,41195.8%OPEN →
Middle117.9%4,80995.8%OPEN →
Moderate76.3%1,69589.3%OPEN →
Moderate57.4%2,64691.9%OPEN →
Middle82.2%3,87953.6%OPEN →
Moderate59.2%1,56555.9%OPEN →
Moderate59.1%——OPEN →
Moderate67.4%3,06053.5%OPEN →
Middle91.6%4,17241.4%OPEN →
Middle91.0%7,65138.9%OPEN →
Moderate69.3%3,37296.9%OPEN →
Upper133.3%6,62688.4%OPEN →
Middle95.0%6,99483.7%OPEN →
Middle90.1%4,92186.1%OPEN →
Upper139.4%5,48787.0%OPEN →
Upper144.8%2,00596.8%OPEN →
Moderate79.8%5,29285.8%OPEN →
Moderate70.4%3,45991.2%OPEN →
Upper152.3%3,38492.3%OPEN →
Middle99.9%2,16491.0%OPEN →
Middle116.9%2,88093.7%OPEN →
Upper143.5%3,41692.8%OPEN →
Upper132.9%2,03487.9%OPEN →
Middle98.1%3,44385.4%OPEN →
Upper155.6%1,63191.7%OPEN →
Moderate63.5%2,66493.5%OPEN →
Middle108.4%2,89795.9%OPEN →
Middle106.8%6,99790.9%OPEN →
Moderate78.2%1,65574.6%OPEN →
Middle88.2%2,76089.6%OPEN →
Middle104.4%2,43997.0%OPEN →
Middle119.8%2,69795.4%OPEN →
Middle112.2%2,93396.3%OPEN →
Upper123.1%2,63497.3%OPEN →
Middle94.1%4,55362.0%OPEN →
Middle93.0%7,25396.3%OPEN →
Middle110.4%4,98891.7%OPEN →
Middle113.7%3,77879.0%OPEN →
Middle116.0%9,05768.1%OPEN →
Upper123.1%6,93188.1%OPEN →
Middle102.3%3,60988.3%OPEN →
Middle112.2%3,40095.1%OPEN →
Upper146.4%2,16884.9%OPEN →
Upper136.1%4,27588.2%OPEN →
Middle103.1%2,21791.6%OPEN →
Moderate79.7%3,66186.7%OPEN →
Middle97.0%5,76288.3%OPEN →
Middle90.2%2,36476.5%OPEN →
Moderate78.3%2,17978.0%OPEN →
Middle99.3%1,24039.4%OPEN →
—0.0%6272.6%OPEN →
Upper167.0%4,40890.8%OPEN →
Upper124.4%3,06989.9%OPEN →
Middle92.7%4,03296.4%OPEN →
Moderate71.5%3,97394.4%OPEN →
Middle105.0%9,79384.7%OPEN →
Middle96.2%3,84791.5%OPEN →
Middle80.3%2,11090.3%OPEN →
Middle109.1%2,77981.2%OPEN →
Upper123.5%3,22675.3%OPEN →
Middle107.0%5,31789.6%OPEN →
Middle114.9%2,72681.4%OPEN →
Moderate76.3%2,80082.6%OPEN →
Moderate66.4%6,49097.7%OPEN →
Middle104.4%3,33197.6%OPEN →
Low47.4%3,25098.1%OPEN →
Middle105.8%3,65095.0%OPEN →
Middle90.7%6,98598.5%OPEN →
Middle106.4%4,05698.5%OPEN →
Middle106.7%5,30497.3%OPEN →
Middle101.0%4,02685.3%OPEN →
Middle106.3%3,82089.4%OPEN →
Middle115.2%3,10398.2%OPEN →
Middle110.7%5,12897.3%OPEN →
Upper147.8%4,57989.0%OPEN →
Middle119.1%5,52985.4%OPEN →
Upper130.2%3,12196.6%OPEN →
Middle94.2%1,74272.7%OPEN →
Upper127.4%4,10289.3%OPEN →
Middle97.9%4,90688.2%OPEN →
Upper144.6%2,41688.8%OPEN →
Upper167.7%3,22485.9%OPEN →
Upper127.7%2,64588.7%OPEN →
Middle114.8%3,22386.7%OPEN →
Upper125.9%3,52689.1%OPEN →
Middle105.4%3,93191.1%OPEN →
Middle113.1%3,27596.3%OPEN →
Moderate65.2%1,73797.8%OPEN →
Moderate51.6%3,24296.7%OPEN →
Moderate79.3%2,59576.8%OPEN →
Middle97.6%2,93692.1%OPEN →
Upper129.7%1,93484.5%OPEN →
Moderate73.1%2,37089.5%OPEN →
Upper156.1%1,37292.1%OPEN →
Upper127.3%3,51788.5%OPEN →
Middle86.1%1,43691.2%OPEN →
Middle106.4%2,91089.8%OPEN →
Moderate78.4%1,84690.4%OPEN →
Middle97.8%2,83992.7%OPEN →
Middle117.5%1,54087.7%OPEN →
Upper132.5%2,06895.8%OPEN →
Upper123.6%2,10195.2%OPEN →
Middle111.8%6,00089.3%OPEN →
Moderate67.2%2,41249.7%OPEN →
Middle86.7%5,68490.7%OPEN →
Middle95.8%3,42388.8%OPEN →
Middle102.0%2,76289.8%OPEN →
Moderate79.1%2,26093.6%OPEN →
Low35.9%1,57593.9%OPEN →
Middle111.9%3,32492.3%OPEN →
Middle94.5%1,47184.4%OPEN →
Moderate65.3%3,84392.8%OPEN →
Moderate55.7%2,73450.1%OPEN →
Moderate70.8%——OPEN →
Moderate69.3%——OPEN →
Moderate51.1%——OPEN →
Moderate52.5%2,54660.4%OPEN →
Moderate72.6%4,73545.5%OPEN →
Moderate76.7%5,66495.5%OPEN →
Middle99.9%5,07085.4%OPEN →
Middle102.6%7,10592.7%OPEN →
Middle97.3%3,55392.3%OPEN →
Middle95.1%3,64091.4%OPEN →
Middle85.8%3,19695.2%OPEN →
Low48.4%6,57591.7%OPEN →
Moderate56.6%3,80572.3%OPEN →
Moderate68.0%2,82583.6%OPEN →
Moderate69.7%3,66090.8%OPEN →
Middle83.0%3,99875.4%OPEN →
Moderate79.8%3,87974.4%OPEN →
Middle85.5%1,92143.4%OPEN →
Moderate71.7%3,76859.4%OPEN →
Middle116.8%2,89243.9%OPEN →
Middle115.5%2,41446.5%OPEN →
Middle82.5%3,29284.5%OPEN →
Middle105.4%7,39178.3%OPEN →
Middle99.6%1,38171.8%OPEN →
Middle96.8%2,83680.9%OPEN →
Middle110.2%1,69367.5%OPEN →
Middle116.1%5,03680.1%OPEN →
Middle119.5%5,35678.5%OPEN →
Upper135.8%3,42790.8%OPEN →
Upper135.0%3,89774.5%OPEN →
Upper127.2%2,49782.3%OPEN →
Middle85.9%2,26379.6%OPEN →
Upper138.7%3,52782.0%OPEN →
Middle104.3%5,51085.3%OPEN →
Middle112.7%2,74862.0%OPEN →
Moderate64.4%2,08793.2%OPEN →
Upper139.9%3,27385.1%OPEN →
Middle103.0%3,92189.9%OPEN →
Upper128.6%5,98684.7%OPEN →
Upper142.0%4,39758.0%OPEN →
Upper132.6%3,83287.9%OPEN →
Upper152.5%3,25647.9%OPEN →
Middle86.8%4,15765.8%OPEN →
Upper151.9%3,80358.9%OPEN →
Middle92.1%2,63066.4%OPEN →
Upper165.7%3,69765.6%OPEN →
Upper132.2%4,21271.9%OPEN →
Upper142.2%5,08964.2%OPEN →
Upper135.2%3,66447.0%OPEN →
Upper134.8%6,14366.5%OPEN →
Upper153.8%4,61140.1%OPEN →
Upper139.5%1,67634.2%OPEN →
Middle106.3%6,05789.3%OPEN →
Moderate74.3%——OPEN →
Middle110.4%11,04689.3%OPEN →
Upper135.9%2,02376.1%OPEN →
Middle108.5%2,50982.7%OPEN →
Middle102.2%2,33196.8%OPEN →
Middle94.4%2,36798.8%OPEN →
Moderate78.4%2,44698.9%OPEN →
—0.0%2,05995.7%OPEN →
—0.0%00.0%OPEN →
—0.0%83186.2%OPEN →
—0.0%1687.5%OPEN →
—0.0%——OPEN →
—0.0%00.0%OPEN →
—0.0%——OPEN →
—0.0%3090.0%OPEN →
—0.0%16745.5%OPEN →
—0.0%——OPEN →
—0.0%00.0%OPEN →
—0.0%9654.2%OPEN →
Low45.0%2,84141.5%OPEN →
Moderate78.9%2,40240.5%OPEN →
Middle110.4%——OPEN →
Low37.1%3,29243.3%OPEN →
—0.0%——OPEN →
Middle96.0%——OPEN →
—0.0%——OPEN →
—0.0%——OPEN →
—0.0%00.0%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

1,001,146

Median household income

$106,195

Median home value

$897,500

Median gross rent

$2,083

per month

Owner-occupied

59.8%

of occupied units

Housing units

374,304

9.5% vacant

Poverty rate

9.2%

Unemployment

4.7%

Natural-hazard exposure

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

Overall risk

Relatively High

score 98.8

Social vulnerability

Relatively Low

Community resilience

Relatively High

ELEVATED PERILS

Inland flooding Very High · Wildfire Relatively High · Earthquake Relatively High · Landslide Relatively High

Federal disaster history

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

Months with an active declaration

72

Declarations recorded

23

Incident types on record: Biological, Earthquake, Fire, Flood, Hurricane, Severe Storm, Tsunami, Typhoon.

Everything we hold on Honolulu 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 Honolulu County.

HMDA loan-level (hmda_loan_wide, county_code)

Open the loan explorer for Honolulu County →Every reported application and origination in FIPS 15003, filterable on rate, amount, income, purpose and action taken. Loan-level tier.

VA

VA-guaranteed lending in Honolulu 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

2,225

—

Purchase share

54.9%

1,222 loans

IRRRL refinances

845

Cash-out refinances

158

20262,225—1,222845158
20252,248—1,597487164
20241,796—1,524128144
20231,900—1,7627131
2022——2,883802770
202111,165—2,9757,1321,058
20209,326—2,5275,875924
20193,859—2,1251,110624
20183,620—2,402452766
20174,724—2,4041,453867
20165,330—2,2542,331745
20154,643—2,0951,867681

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 Honolulu 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

Honolulu 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

607

−14.0% vs 2024

Multifamily · 2025

839

−10.0% vs 2024

Total authorized · 2025

1,446

−11.7% vs 2024

Permit valuation · 2025

$465M

authorized construction value

Units authorized by year

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

UNITS · SF IN TOOLTIP
01.3K2.5K3.8K5K19901992199419961998200020022004200620082010201220142016201820202022202420251,446 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 Honolulu County, showing population movement and wealth transfer.

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

inflow2223Other flows - South, DS2,2744,303$143.4M
outflow2223Other flows - South, DS2,2684,716$155.7M
outflow2223Clark County, NV1,2432,381$86.2M
outflow2223Other flows - Midwest, DS1,2212,337$70.2M
inflow2223Other flows - Midwest, DS1,0881,925$61.6M
inflow2223Foreign - APO/FPO ZIPs, FR9962,329$83.4M
outflow2223Other flows - West, DS9751,782$75.0M
inflow2223Other flows - West, DS8931,652$55.9M
outflow2223San Diego County, CA8791,719$64.2M
inflow2223Other flows - Northeast, DS7971,262$48.0M
inflow2223San Diego County, CA7891,529$56.1M
outflow2223Other flows - Northeast, DS7861,410$55.1M
outflow2223Foreign - APO/FPO ZIPs, FR7091,637$59.0M
inflow2223Los Angeles County, CA6781,007$66.5M
outflow2223Los Angeles County, CA662939$50.3M
outflow2223Hawaii County, HI6141,125$40.3M
outflow2223King County, WA583902$50.1M
inflow2223Hawaii County, HI554881$34.3M
inflow2223Clark County, NV523914$32.3M
outflow2223Foreign - Overseas, FR409628$25.5M
outflow2223Maricopa County, AZ377637$23.5M
outflow2223Pierce County, WA345684$21.1M
inflow2223King County, WA335509$42.0M
outflow2223El Paso County, CO328764$22.9M
inflow2223Orange County, CA327527$28.4M
outflow2223Bexar County, TX326767$21.8M
inflow2223Maricopa County, AZ310527$25.4M
inflow2223Pierce County, WA293665$17.5M
outflow2223Orange County, CA288456$22.3M
inflow2223Bexar County, TX257597$18.9M
inflow2223Foreign - Overseas, FR233392$17.8M
inflow2223El Paso County, CO213481$13.0M
outflow2223El Paso County, TX207529$11.6M
outflow2223Fairfax County, VA199504$20.2M
inflow2223Riverside County, CA194353$12.3M
outflow2223Riverside County, CA193404$14.6M
inflow2223El Paso County, TX193468$10.6M
inflow2223Bell County, TX184411$9.9M
inflow2223Santa Clara County, CA183283$35.0M
inflow2223Alameda County, CA180285$18.4M
outflow2223Harris County, TX174324$12.1M
outflow2223Alameda County, CA171242$12.4M
outflow2223San Bernardino County, CA166326$9.2M
outflow2223Santa Clara County, CA164233$18.0M
outflow2223Bell County, TX162438$9.4M
inflow2223San Bernardino County, CA159315$9.9M
inflow2223Anne Arundel County, MD158326$15.7M
outflow2223Kitsap County, WA157361$11.7M
inflow2223Sacramento County, CA153230$11.2M
outflow2223Utah County, UT150309$9.6M
inflow2223Fairfax County, VA149360$16.9M
outflow2223San Francisco County, CA144186$17.0M
outflow2223Washington County, OR144233$9.5M
inflow2223Harris County, TX144239$13.0M
outflow2223Anne Arundel County, MD142312$12.0M
outflow2223Onslow County, NC141374$8.2M
outflow2223Sacramento County, CA140227$7.7M
inflow2223San Francisco County, CA138206$25.3M
inflow2223Salt Lake County, UT137268$8.9M
outflow2223Clark County, WA136269$8.6M
outflow2223Salt Lake County, UT135291$6.4M
outflow2223Multnomah County, OR135212$8.1M
outflow2223Virginia Beach city, VA135285$10.9M
outflow2223Duval County, FL128251$8.0M
inflow2223Monterey County, CA125212$8.0M
outflow2223Tarrant County, TX125256$9.0M
inflow2223Cumberland County, NC124298$8.3M
outflow2223Snohomish County, WA123233$9.7M
outflow2223Cook County, IL122163$9.1M
outflow2223Cumberland County, NC116276$7.0M
outflow2223Thurston County, WA116270$8.9M
inflow2223Anchorage Municipality, AK112243$7.1M
inflow2223Cook County, IL109153$8.3M
outflow2223Denver County, CO108144$6.1M
inflow2223Contra Costa County, CA106164$7.3M
outflow2223Kings County, NY103132$6.4M
inflow2223Jefferson County, NY103235$5.2M
outflow2223Hillsborough County, FL103205$8.5M
inflow2223Escambia County, FL101163$4.8M
inflow2223Utah County, UT100237$8.5M
inflow2223Onslow County, NC100251$6.2M
inflow2223Virginia Beach city, VA99226$6.9M
inflow2223Washington County, OR99145$6.3M
inflow2223Multnomah County, OR97133$7.2M
inflow2223Kitsap County, WA97197$7.6M
outflow2223Arapahoe County, CO96188$7.3M
outflow2223Ventura County, CA95185$6.3M
outflow2223Dallas County, TX95149$7.0M
outflow2223Montgomery County, TN94246$5.8M
inflow2223Norfolk city, VA93190$6.7M
outflow2223Anchorage Municipality, AK93201$5.2M
outflow2223New York County, NY93107$8.0M
outflow2223Contra Costa County, CA90150$9.3M
inflow2223Queens County, NY90150$6.9M
outflow2223San Mateo County, CA90125$10.7M
inflow2223San Mateo County, CA87136$11.3M
outflow2223Orange County, FL87159$5.5M
inflow2223Kings County, NY86115$8.9M
inflow2223New York County, NY86123$13.7M
inflow2223Denver County, CO83111$5.4M
inflow2223Duval County, FL83162$5.2M
outflow2223Travis County, TX82123$5.7M
inflow2223Thurston County, WA82180$9.4M
inflow2223Southeastern Connecticut Planning, CT81156$5.3M
inflow2223Montgomery County, MD81156$12.0M
inflow2223Hillsborough County, FL80187$7.5M
outflow2223Norfolk city, VA79152$5.8M
inflow2223Miami-Dade County, FL77121$4.7M
inflow2223Snohomish County, WA76148$5.9M
inflow2223Tarrant County, TX75147$4.0M
outflow2223Pima County, AZ75140$4.9M
outflow2223Foreign - Other flows, FR74164$4.4M
outflow2223Jefferson County, NY73178$4.0M
inflow2223Clark County, WA72137$5.4M
outflow2223Escambia County, FL72158$4.4M
inflow2223Orange County, FL71119$4.6M
inflow2223Broward County, FL71123$4.7M
outflow2223Prince William County, VA70192$5.7M
inflow2223Travis County, TX70112$5.5M
inflow2223Pima County, AZ70122$6.3M
inflow2223Montgomery County, TN70182$4.6M
outflow2223Spokane County, WA69113$3.9M
outflow2223Middlesex County, MA68129$6.0M
inflow2223Okaloosa County, FL67164$4.8M
outflow2223Chesapeake city, VA67162$4.5M
outflow2223Washoe County, NV67118$5.3M
outflow2223Montgomery County, MD67141$6.0M
outflow2223Prince George's County, MD66128$4.4M
outflow2223Monterey County, CA66116$5.4M
inflow2223Solano County, CA65110$4.1M
outflow2223Williamson County, TX64128$4.8M
inflow2223Dallas County, TX63109$4.6M
inflow2223Muscogee County, GA62127$3.9M
inflow2223Berkeley County, SC62106$3.7M
outflow2223Solano County, CA62113$3.2M
outflow2223Comanche County, OK61157$3.6M
inflow2223Arapahoe County, CO61119$4.1M
inflow2223Pinellas County, FL61110$3.5M
inflow2223Foreign - Other flows, FR60145$3.1M
inflow2223Middlesex County, MA6093$3.9M
inflow2223Ventura County, CA60112$4.5M
outflow2223Okaloosa County, FL60126$4.2M
outflow2223Miami-Dade County, FL5992$3.6M
inflow2223Richmond County, GA58133$3.1M
outflow2223Arlington County, VA58104$6.2M
outflow2223Collin County, TX58123$5.5M
inflow2223Spokane County, WA57115$4.4M
outflow2223Ada County, ID57110$4.0M
outflow2223Columbia County, GA57151$4.1M
outflow2223Pinellas County, FL5696$3.3M
inflow2223Liberty County, GA55127$2.8M
inflow2223Washoe County, NV5592$4.5M
inflow2223Chesapeake city, VA55125$3.6M
inflow2223Columbia County, GA55137$4.4M
outflow2223Davis County, UT55117$2.9M
outflow2223Geary County, KS55139$2.8M
inflow2223Prince William County, VA54118$4.5M
outflow2223Broward County, FL5476$3.4M
inflow2223Ada County, ID5394$3.8M
outflow2223Muscogee County, GA53145$3.6M
inflow2223Geary County, KS52144$2.5M
inflow2223Charleston County, SC5283$3.5M
outflow2223Denton County, TX5291$4.0M
outflow2223Coryell County, TX52178$2.8M
outflow2223Pulaski County, MO52147$3.3M
outflow2223Santa Barbara County, CA5294$3.4M
outflow2223Guadalupe County, TX51134$3.0M
outflow2223Richland County, SC51122$3.0M
outflow2223Liberty County, GA51107$2.4M
inflow2223Cochise County, AZ50131$3.0M
inflow2223Prince George's County, MD5094$3.9M
inflow2223Collin County, TX5084$3.4M
outflow2223Palm Beach County, FL5082$6.3M
outflow2223Southeastern Connecticut Planning, CT50120$3.3M
inflow2223Richland County, SC49117$3.0M
inflow2223Christian County, KY49124$2.0M
inflow2223Suffolk County, NY4960$2.2M
inflow2223Newport News city, VA49107$2.6M
outflow2223Mecklenburg County, NC4972$2.7M
inflow2223Placer County, CA4883$3.7M
inflow2223Wake County, NC4878$3.9M
outflow2223Wake County, NC4894$3.6M
inflow2223Jefferson County, CO4771$3.8M
inflow2223Pulaski County, MO47112$3.2M
inflow2223Coryell County, TX47118$2.4M
outflow2223Washington County, UT4787$3.7M
outflow2223Oklahoma County, OK4786$2.2M
outflow2223Richmond County, GA47103$2.2M
inflow2223Fresno County, CA46103$3.0M
inflow2223Kern County, CA4680$2.4M
inflow2223Howard County, MD4679$4.5M
outflow2223Queens County, NY4667$3.8M
inflow2223Arlington County, VA4690$6.3M
inflow2223Palm Beach County, FL4560$2.7M
inflow2223Comanche County, OK45107$2.5M
outflow2223Polk County, FL4488$2.6M
inflow2223Davis County, UT4496$2.4M
outflow2223Alexandria city, VA4361$4.2M
outflow2223Clackamas County, OR4387$4.3M
outflow2223Brevard County, FL43100$3.9M

UAD APPRAISALS

FHFA Uniform Appraisal Dataset aggregates for Honolulu County.

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

2023PurchaseNo CharacteristicAll Appraisals1,312.0
2023PurchaseNo CharacteristicAll Appraisals0.4
2023RefinanceNo CharacteristicAll Appraisals603.0
2023PurchaseNo CharacteristicAll Appraisals1.0
2023BothNo CharacteristicAll Appraisals1,915.0
2023PurchaseNo CharacteristicAll Appraisals0.5
2023PurchaseNo CharacteristicAll Appraisals1.0
2023RefinanceNo CharacteristicAll Appraisals1,150,000.0
2023BothNo CharacteristicAll Appraisals1,100,000.0
2023PurchaseNo CharacteristicAll Appraisals1,072,500.0
2023PurchaseNo CharacteristicAll Appraisals0.1
2022PurchaseNo CharacteristicAll Appraisals1.0
2022BothNo CharacteristicAll Appraisals1,130,000.0
2022PurchaseNo CharacteristicAll Appraisals0.4
2022PurchaseNo CharacteristicAll Appraisals1,110,000.0
2022PurchaseNo CharacteristicAll Appraisals1.0
2022RefinanceNo CharacteristicAll Appraisals1,509.0
2022PurchaseNo CharacteristicAll Appraisals0.2
2022PurchaseNo CharacteristicAll Appraisals0.5
2022RefinanceNo CharacteristicAll Appraisals1,150,000.0
2022BothNo CharacteristicAll Appraisals3,215.0
2022PurchaseNo CharacteristicAll Appraisals1,706.0
2021PurchaseNo CharacteristicAll Appraisals1.0
2021RefinanceNo CharacteristicAll Appraisals1,025,000.0
2021BothNo CharacteristicAll Appraisals8,766.0
2021PurchaseNo CharacteristicAll Appraisals1.0
2021PurchaseNo CharacteristicAll Appraisals2,645.0
2021PurchaseNo CharacteristicAll Appraisals0.3
2021RefinanceNo CharacteristicAll Appraisals6,121.0
2021PurchaseNo CharacteristicAll Appraisals0.3
2021BothNo CharacteristicAll Appraisals1,005,000.0
2021PurchaseNo CharacteristicAll Appraisals0.4
2021PurchaseNo CharacteristicAll Appraisals985,000.0
2020PurchaseNo CharacteristicAll Appraisals0.2
2020PurchaseNo CharacteristicAll Appraisals1.8
2020BothNo CharacteristicAll Appraisals10,411.0
2020PurchaseNo CharacteristicAll Appraisals2,038.0
2020PurchaseNo CharacteristicAll Appraisals0.5
2020BothNo CharacteristicAll Appraisals905,000.0
2020RefinanceNo CharacteristicAll Appraisals932,000.0
2020RefinanceNo CharacteristicAll Appraisals8,373.0
2020PurchaseNo CharacteristicAll Appraisals830,000.0
2020PurchaseNo CharacteristicAll Appraisals1.0
2020PurchaseNo CharacteristicAll Appraisals0.4
2019PurchaseNo CharacteristicAll Appraisals0.1
2019PurchaseNo CharacteristicAll Appraisals1.0
2019BothNo CharacteristicAll Appraisals830,000.0
2019PurchaseNo CharacteristicAll Appraisals2,144.0
2019PurchaseNo CharacteristicAll Appraisals0.4
2019PurchaseNo CharacteristicAll Appraisals1.0
2019RefinanceNo CharacteristicAll Appraisals850,000.0
2019BothNo CharacteristicAll Appraisals6,193.0
2019RefinanceNo CharacteristicAll Appraisals4,049.0
2019PurchaseNo CharacteristicAll Appraisals800,000.0
2019PurchaseNo CharacteristicAll Appraisals0.6
2018RefinanceNo CharacteristicAll Appraisals815,000.0
2018BothNo CharacteristicAll Appraisals4,219.0
2018PurchaseNo CharacteristicAll Appraisals1,985.0
2018RefinanceNo CharacteristicAll Appraisals2,234.0
2018BothNo CharacteristicAll Appraisals805,000.0
2018PurchaseNo CharacteristicAll Appraisals800,000.0
2018PurchaseNo CharacteristicAll Appraisals0.5
2018PurchaseNo CharacteristicAll Appraisals0.1
2018PurchaseNo CharacteristicAll Appraisals0.4
2018PurchaseNo CharacteristicAll Appraisals1.0
2018PurchaseNo CharacteristicAll Appraisals1.0
2017RefinanceNo CharacteristicAll Appraisals799,000.0
2017PurchaseNo CharacteristicAll Appraisals1.0
2017PurchaseNo CharacteristicAll Appraisals1.0
2017PurchaseNo CharacteristicAll Appraisals0.4
2017PurchaseNo CharacteristicAll Appraisals0.1
2017BothNo CharacteristicAll Appraisals5,300.0
2017PurchaseNo CharacteristicAll Appraisals2,078.0
2017PurchaseNo CharacteristicAll Appraisals775,000.0
2017RefinanceNo CharacteristicAll Appraisals3,222.0
2017PurchaseNo CharacteristicAll Appraisals0.5
2017BothNo CharacteristicAll Appraisals787,000.0
2016PurchaseNo CharacteristicAll Appraisals1,784.0
2016RefinanceNo CharacteristicAll Appraisals765,000.0
2016PurchaseNo CharacteristicAll Appraisals1.0
2016PurchaseNo CharacteristicAll Appraisals750,000.0
2016PurchaseNo CharacteristicAll Appraisals0.5
2016PurchaseNo CharacteristicAll Appraisals0.1
2016BothNo CharacteristicAll Appraisals760,000.0
2016PurchaseNo CharacteristicAll Appraisals1.0
2016PurchaseNo CharacteristicAll Appraisals0.3
2016BothNo CharacteristicAll Appraisals7,611.0
2016RefinanceNo CharacteristicAll Appraisals5,827.0
2015PurchaseNo CharacteristicAll Appraisals1.0
2015PurchaseNo CharacteristicAll Appraisals715,000.0
2015PurchaseNo CharacteristicAll Appraisals0.3
2015RefinanceNo CharacteristicAll Appraisals733,000.0
2015BothNo CharacteristicAll Appraisals6,295.0
2015RefinanceNo CharacteristicAll Appraisals4,497.0
2015PurchaseNo CharacteristicAll Appraisals0.1
2015PurchaseNo CharacteristicAll Appraisals0.5
2015PurchaseNo CharacteristicAll Appraisals1,798.0
2015BothNo CharacteristicAll Appraisals726,000.0
2015PurchaseNo CharacteristicAll Appraisals1.0
2014BothNo CharacteristicAll Appraisals700,000.0

ECONOMY & INCOME

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

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

BLS Local Area Unemployment

2026-05479,557468,13711,4202.4%
2026-04479,634468,38011,2542.3%
2026-03476,530465,93310,5972.2%
2026-02476,676466,01710,6592.2%
2026-01474,109464,3099,8002.1%
2025-12476,118466,00710,1112.1%
2025-11475,790464,04111,7492.5%
2025-09476,716466,30410,4122.2%
2025-08472,120461,95310,1672.2%
2025-07474,764464,51810,2462.2%
2025-06476,509463,70212,8072.7%
2025-05473,683463,7229,9612.1%
2025-04478,748468,55110,1972.1%
2025-03479,497469,20810,2892.1%
2025-02477,829466,77511,0542.3%
2025-01476,187464,94411,2432.4%
2024-12474,867464,11110,7562.3%
2024-11474,490461,83412,6562.7%
2024-10472,247459,91712,3302.6%
2024-09473,598460,52413,0742.8%
2024-08471,334458,06213,2722.8%
2024-07474,086461,13612,9502.7%
2024-06473,113458,71514,3983.0%
2024-05468,550458,35010,2002.2%
2024-04470,961460,36310,5982.3%
2024-03472,426461,93710,4892.2%
2024-02471,286460,26911,0172.3%
2024-01468,688457,51511,1732.4%
2023-12468,575458,06510,5102.2%
2023-11471,063460,09210,9712.3%
2023-10469,404458,62710,7772.3%
2023-09470,006458,84111,1652.4%
2023-08468,886456,50912,3772.6%
2023-07470,370458,12012,2502.6%
2023-06470,666455,56115,1053.2%
2023-05468,515456,75611,7592.5%
2023-04471,491460,17211,3192.4%
2023-03472,473460,40712,0662.6%
2023-02471,868458,53513,3332.8%
2023-01469,204455,68713,5172.9%
2022-12469,985456,78313,2022.8%
2022-11469,785454,21515,5703.3%
2022-10469,346453,89515,4513.3%
2022-09468,384452,77815,6063.3%
2022-08469,260453,14316,1173.4%
2022-07469,861454,63515,2263.2%
2022-06469,746452,00917,7373.8%
2022-05467,368453,38313,9853.0%
2022-04467,558453,73113,8273.0%
2022-03466,990453,81013,1802.8%
2022-02465,789452,07213,7172.9%
2022-01464,536450,60113,9353.0%
2021-12462,255450,04112,2142.6%
2021-11461,460447,82713,6333.0%
2021-10457,103442,72214,3813.1%
2021-09459,233441,18718,0463.9%
2021-08460,660439,93720,7234.5%
2021-07464,757441,50123,2565.0%
2021-06467,089437,51029,5796.3%
2021-05464,600436,97427,6265.9%
2021-04469,750437,80531,9456.8%
2021-03471,825437,20034,6257.3%
2021-02471,730434,00537,7258.0%
2021-01467,956428,28339,6738.5%
2020-12463,227421,86841,3598.9%
2020-11457,717415,95941,7589.1%
2020-10448,415404,83443,5819.7%
2020-09431,349379,20952,14012.1%
2020-08470,122419,21950,90310.8%
2020-07468,613406,66161,95213.2%
2020-06460,453390,19570,25815.3%
2020-05452,163370,30281,86118.1%
2020-04447,267363,54383,72418.7%
2020-03478,620469,3639,2571.9%
2020-02484,879476,1158,7641.8%
2020-01483,770473,48410,2862.1%
2019-12480,963471,9249,0391.9%
2019-11482,076471,75610,3202.1%
2019-10479,814469,38610,4282.2%
2019-09476,255464,68511,5702.4%
2019-08475,887464,61511,2722.4%
2019-07476,494464,87511,6192.4%
2019-06475,803461,98213,8212.9%
2019-05472,749462,36110,3882.2%
2019-04475,736464,98510,7512.3%
2019-03479,119467,38911,7302.4%
2019-02478,826467,38211,4442.4%
2019-01478,396465,38413,0122.7%
2018-12479,252467,87511,3772.4%
2018-11481,476469,47612,0002.5%
2018-10477,519465,91111,6082.4%
2018-09477,193464,89912,2942.6%
2018-08476,571465,23511,3362.4%
2018-07481,232470,43110,8012.2%
2018-06483,440469,88813,5522.8%
2018-05482,554473,1639,3911.9%
2018-04485,150475,4029,7482.0%
2018-03485,288475,5159,7732.0%
2018-02485,652476,0809,5722.0%
2018-01483,083473,2879,7962.0%

BEA Personal Income

2024$74.59B998,747$75K
2023$70.30B994,576$71K
2022$66.01B995,652$66K
2021$64.23B1,004,349$64K
2020$61.03B1,012,407$60K
2019$57.85B1,019,013$57K
2018$55.81B1,021,681$55K
2017$54.94B1,022,659$54K
2016$53.04B1,023,810$52K
2015$51.20B1,017,588$50K
2014$49.17B1,008,918$49K
2013$46.85B1,002,491$47K
2012$46.38B989,372$47K
2011$45.04B973,655$46K
2010$43.03B957,547$45K
2009$42.22B943,177$45K
2008$41.99B933,680$45K
2007$39.94B925,335$43K
2006$37.94B926,954$41K
2005$35.53B918,181$39K
2004$33.29B907,997$37K
2003$31.23B894,311$35K
2002$29.91B890,473$34K
2001$28.52B882,755$32K
2000$27.40B876,629$31K
1999$25.98B878,906$30K
1998$25.32B886,909$29K
1997$24.99B886,711$28K
1996$24.24B883,443$27K
1995$24.31B881,399$28K
1994$23.84B878,591$27K
1993$23.37B870,348$27K
1992$22.66B863,959$26K
1991——$25K

NFIP FLOOD CLAIMS

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

FEMA NFIP redacted claims (nfip_claim, county_code)

2026-06-22$0——No
2026-04-30$0$0$0Yes
2026-04-13$0$0$0No
2026-04-10$0——No
2026-04-01$0$0$0Yes
2026-04-01$0$0$0Yes
2026-03-25$13K$13K$0No
2026-03-24$5K$5K$0Yes
2026-03-24$6K$6K$0No
2026-03-24$0——Yes
2026-03-23$0$0$0No
2026-03-23$0——Yes
2026-03-23$0——Yes
2026-03-23$0$0$0Yes
2026-03-23$5K$5K$0Yes
2026-03-23$86K$86K$0No
2026-03-23$26K$26K$0No
2026-03-23$51K$51K$0Yes
2026-03-23$150K$150K$0No
2026-03-22$0$0$0No
2026-03-22$0$0$0No
2026-03-22$0$0$0No
2026-03-22$0$0$0No
2026-03-21$118K$118K$0No
2026-03-21$60K$60K$0Yes
2026-03-21$158K$155K$3KYes
2026-03-21$117K$117K$0No
2026-03-21$18K$18K$0Yes
2026-03-21$0$0$0Yes
2026-03-21$58K$58K$0No
2026-03-21$0$0$0Yes
2026-03-21$6K$6K$0No
2026-03-21$45K$45K$0Yes
2026-03-21$91K$91K$0Yes
2026-03-21$10K$10K$0No
2026-03-21$231K$231K$0Yes
2026-03-21$1K$1K$0Yes
2026-03-21$0$0$0Yes
2026-03-21$0$0$0No
2026-03-21$0$0$0No
2026-03-21$20K$20K$0Yes
2026-03-21$32K$32K$0No
2026-03-21$12K$12K$0Yes
2026-03-21$108K$90K$17KYes
2026-03-20$32K$32K$0No
2026-03-20$63K$63K$0Yes
2026-03-20$85K$85K$0Yes
2026-03-20$123K$123K$0Yes
2026-03-20$19K$19K$0Yes
2026-03-20$99K$93K$6KYes
2026-03-20$14K$14K$0Yes
2026-03-20$115K$115K$0Yes
2026-03-20$21K$21K$0Yes
2026-03-20$35K$35K$0Yes
2026-03-20$170K$117K$53KYes
2026-03-20$34K$34K$0Yes
2026-03-20$0$0$0Yes
2026-03-20$113K$113K$0Yes
2026-03-20$80K$80K$0Yes
2026-03-20$148K$148K$0Yes
2026-03-20$151K$136K$15KYes
2026-03-20$0$0$0Yes
2026-03-20$8K$8K$0No
2026-03-20$11K$11K$0Yes
2026-03-20$123K$104K$19KYes
2026-03-20$0——Yes
2026-03-20$210K$210K$0Yes
2026-03-20$22K$22K$112.59Yes
2026-03-20$41K$41K$0Yes
2026-03-20$148K$136K$12KYes
2026-03-20$75K$74K$798.68Yes
2026-03-20$6K$6K$0Yes
2026-03-20$128K$128K$0Yes
2026-03-20$1K$1K$0Yes
2026-03-20$61K$61K$0Yes
2026-03-20$124K$124K$0No
2026-03-20$109K$109K$0Yes
2026-03-20$233K$173K$61KYes
2026-03-20$19K$19K$0Yes
2026-03-20$4K$4K$0Yes
2026-03-20$5K$5K$0Yes
2026-03-20$107K$92K$15KYes
2026-03-20$97K$94K$3KYes
2026-03-20$119K$119K$0Yes
2026-03-20$102K$102K$0Yes
2026-03-20$0——Yes
2026-03-20$11K$11K$0Yes
2026-03-20$133K$133K$0Yes
2026-03-20$27K$27K$0Yes
2026-03-20$282K$201K$81KYes
2026-03-20$0——Yes
2026-03-20$50K$50K$0No
2026-03-20$0$0$0Yes
2026-03-20$46K$46K$0Yes
2026-03-20$0$0$0Yes
2026-03-20$42K$42K$0Yes
2026-03-20$157K$157K$0Yes
2026-03-20$16K$16K$0Yes
2026-03-20$162K$162K$0Yes
2026-03-20$0$0$0No

ALSO CHECKED

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

Go deeper

EVERY HMDA RECORD IN HONOLULU COUNTY →Opens the loan explorer already filtered to county FIPS 15003.

See the Hawaii state market profile for the statewide picture, the Hawaii 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.