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MortRadarTERMINAL
State markets/District of Columbia/District of Columbia

COUNTY MORTGAGE MARKET · FIPS 11001

District of Columbia, District of Columbia

Who lends in District of Columbia, 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

$6.85B

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

Originations · 2025

9,229

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

Denial rate · 2025

17.8%

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

Lenders active · 2025

462

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 462 lenders that originated in District of Columbia in 2025. HHI is the Herfindahl-Hirschman index over lender shares.

Concentration (HHI)

203

unconcentrated

Top-5 lender share

24.3%

of originations

Purchase

68.4%

5,459 loans

Refinance

31.6%

2,527 loans

Origination trend

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

Lenders in District of Columbia

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 District of Columbia 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 DISTRICT OF COLUMBIA →

TOP TEN LENDERS IN DISTRICT OF COLUMBIA · 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.

281$410.4M$410.4M originated in District of Columbia, 2025—Share needs a county-wide denominator, which the narrower fallback source does not carry.—
307$381.5M$381.5M originated in District of Columbia, 2025—Share needs a county-wide denominator, which the narrower fallback source does not carry.—
451$344.7M$344.7M originated in District of Columbia, 2025—Share needs a county-wide denominator, which the narrower fallback source does not carry.—
130$274.4M$274.4M originated in District of Columbia, 2025—Share needs a county-wide denominator, which the narrower fallback source does not carry.—
211$255.9M$255.9M originated in District of Columbia, 2025—Share needs a county-wide denominator, which the narrower fallback source does not carry.—
2$188.5M$188.5M originated in District of Columbia, 2025—Share needs a county-wide denominator, which the narrower fallback source does not carry.—
469$176.6M$176.6M originated in District of Columbia, 2025—Share needs a county-wide denominator, which the narrower fallback source does not carry.—
3$150.2M$150.2M originated in District of Columbia, 2025—Share needs a county-wide denominator, which the narrower fallback source does not carry.—
249$146.5M$146.5M originated in District of Columbia, 2025—Share needs a county-wide denominator, which the narrower fallback source does not carry.—
280$140.9M$140.9M originated in District of Columbia, 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 District of Columbia

All 57 ZIP Code Tabulation Areas that touch District of Columbia, 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.
57 OF 57 ZIP AREASEVERY ZIP AREA TOUCHING THE COUNTY — NO ROWS WITHHELD
TOP LENDERRECORDS
2020 of the 22 District of Columbia tracts this ZIP area touches sit mostly inside it.73,64380.8%14,039——TRACTS →HMDA reports no ZIP. This opens the ZIP area's tract list, where each tract's records open exactly.
2222 of the 28 District of Columbia tracts this ZIP area touches sit mostly inside it.72,73658.2%12,231——TRACTS →HMDA reports no ZIP. This opens the ZIP area's tract list, where each tract's records open exactly.
2020 of the 21 District of Columbia tracts this ZIP area touches sit mostly inside it.61,71997.7%10,213——TRACTS →HMDA reports no ZIP. This opens the ZIP area's tract list, where each tract's records open exactly.
1616 of the 24 District of Columbia tracts this ZIP area touches sit mostly inside it.51,40453.8%7,573——TRACTS →HMDA reports no ZIP. This opens the ZIP area's tract list, where each tract's records open exactly.
1616 of the 23 District of Columbia tracts this ZIP area touches sit mostly inside it.50,36238.7%9,365——TRACTS →HMDA reports no ZIP. This opens the ZIP area's tract list, where each tract's records open exactly.
1515 of the 17 District of Columbia tracts this ZIP area touches sit mostly inside it.49,59197.2%5,832——TRACTS →HMDA reports no ZIP. This opens the ZIP area's tract list, where each tract's records open exactly.
1212 of the 13 District of Columbia tracts this ZIP area touches sit mostly inside it.39,20793.1%3,955——TRACTS →HMDA reports no ZIP. This opens the ZIP area's tract list, where each tract's records open exactly.
99 of the 13 District of Columbia tracts this ZIP area touches sit mostly inside it.37,49161.7%5,798——TRACTS →HMDA reports no ZIP. This opens the ZIP area's tract list, where each tract's records open exactly.
1212 of the 18 District of Columbia tracts this ZIP area touches sit mostly inside it.35,69738.3%6,459——TRACTS →HMDA reports no ZIP. This opens the ZIP area's tract list, where each tract's records open exactly.
99 of the 14 District of Columbia tracts this ZIP area touches sit mostly inside it.29,85030.4%7,799——TRACTS →HMDA reports no ZIP. This opens the ZIP area's tract list, where each tract's records open exactly.
88 of the 14 District of Columbia tracts this ZIP area touches sit mostly inside it.29,55429.1%6,639——TRACTS →HMDA reports no ZIP. This opens the ZIP area's tract list, where each tract's records open exactly.
77 of the 11 District of Columbia tracts this ZIP area touches sit mostly inside it.26,26728.3%6,524——TRACTS →HMDA reports no ZIP. This opens the ZIP area's tract list, where each tract's records open exactly.
55 of the 6 District of Columbia tracts this ZIP area touches sit mostly inside it.22,38830.7%5,416——TRACTS →HMDA reports no ZIP. This opens the ZIP area's tract list, where each tract's records open exactly.
66 of the 11 District of Columbia tracts this ZIP area touches sit mostly inside it.19,35373.9%4,676——TRACTS →HMDA reports no ZIP. This opens the ZIP area's tract list, where each tract's records open exactly.
44 of the 7 District of Columbia tracts this ZIP area touches sit mostly inside it.15,45885.4%3,623——TRACTS →HMDA reports no ZIP. This opens the ZIP area's tract list, where each tract's records open exactly.
66 of the 7 District of Columbia tracts this ZIP area touches sit mostly inside it.14,76458.2%2,305——TRACTS →HMDA reports no ZIP. This opens the ZIP area's tract list, where each tract's records open exactly.
44 of the 8 District of Columbia tracts this ZIP area touches sit mostly inside it.11,79535.9%2,457——TRACTS →HMDA reports no ZIP. This opens the ZIP area's tract list, where each tract's records open exactly.
44 of the 7 District of Columbia tracts this ZIP area touches sit mostly inside it.11,68247.4%1,774——TRACTS →HMDA reports no ZIP. This opens the ZIP area's tract list, where each tract's records open exactly.
33 of the 8 District of Columbia tracts this ZIP area touches sit mostly inside it.11,43172.8%3,000——TRACTS →HMDA reports no ZIP. This opens the ZIP area's tract list, where each tract's records open exactly.
33 of the 6 District of Columbia tracts this ZIP area touches sit mostly inside it.8,47936.2%1,904——TRACTS →HMDA reports no ZIP. This opens the ZIP area's tract list, where each tract's records open exactly.
11 of the 4 District of Columbia tracts this ZIP area touches sit mostly inside it.6,87940.7%52——OPEN →This ZIP area is one census tract here, so its records open directly and exactly.
11 of the 1 District of Columbia tract this ZIP area touches sit mostly inside it.4,10841.6%0——OPEN →This ZIP area is one census tract here, so its records open directly and exactly.
11 of the 1 District of Columbia tract this ZIP area touches sit mostly inside it.1,85935.6%812——OPEN →This ZIP area is one census tract here, so its records open directly and exactly.
11 of the 1 District of Columbia tract this ZIP area touches sit mostly inside it.1,76263.7%202——OPEN →This ZIP area is one census tract here, so its records open directly and exactly.
0This ZIP area clips 3 tracts of District of Columbia 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 District of Columbia 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 District of Columbia 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 District of Columbia but is the dominant ZIP for none of them, so it owns no figures here.—————TRACTS →HMDA reports no ZIP. This opens the ZIP area's tract list, where each tract's records open exactly.
11 of the 1 District of Columbia tract this ZIP area touches sit mostly inside it.—————OPEN →This ZIP area is one census tract here, so its records open directly and exactly.
0This ZIP area clips 1 tract of District of Columbia 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 District of Columbia 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 District of Columbia 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 District of Columbia 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 District of Columbia 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 District of Columbia 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 District of Columbia 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 District of Columbia 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 District of Columbia 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 District of Columbia 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 District of Columbia 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 District of Columbia 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 District of Columbia 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 District of Columbia 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 District of Columbia 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 District of Columbia 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 District of Columbia 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 District of Columbia 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 District of Columbia 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 District of Columbia 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 District of Columbia 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 District of Columbia 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 District of Columbia 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 District of Columbia 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 District of Columbia 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 District of Columbia 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 District of Columbia 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 District of Columbia 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.

206 of District of Columbia’s 206 census tracts are grouped into the ZIP areas above, with none left over. The two add up to the county exactly, because each tract is counted once. A ZCTA — ZIP Code Tabulation Area — is the U.S. Census Bureau's area approximation of a USPS ZIP code, not the ZIP code itself. HMDA reports no postal geography at all, so these rows are census tracts grouped by the Census 2020 tract-to-ZCTA relationship file: each tract is counted once, in the single ZCTA covering the most of its land. Housing figures are HMDA tract attributes for activity year 2025, summed over the tracts each ZIP area owns — a ZIP area that owns no tract shows an em-dash, never a zero.

Census tracts in District of Columbia

All 206 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.

206 OF 206 TRACTSEVERY TRACT IN THE COUNTY — NO ROWS WITHHELD
TOP LENDERRECORDS
Upper234.0%1,40625.0%OPEN →
Upper212.3%3,41720.7%OPEN →
—0.0%4,10841.6%OPEN →
Upper234.0%4,67225.3%OPEN →
Upper234.0%6,16126.4%OPEN →
Upper234.0%1,64326.1%OPEN →
Upper224.2%3,82931.5%OPEN →
Upper210.9%3,41826.0%OPEN →
Upper234.0%4,67625.3%OPEN →
Upper175.9%3,45239.8%OPEN →
Upper224.4%3,02229.9%OPEN →
Upper152.7%2,75338.3%OPEN →
Upper230.2%3,32734.5%OPEN →
Upper228.6%3,17431.7%OPEN →
Upper234.0%3,83227.6%OPEN →
Upper234.0%2,31721.2%OPEN →
Upper234.0%4,20242.5%OPEN →
Upper234.0%3,14820.3%OPEN →
Upper195.1%3,64334.8%OPEN →
Upper231.6%3,11121.5%OPEN →
Upper234.0%4,48028.1%OPEN →
Upper225.5%5,30030.1%OPEN →
Upper188.7%5,37130.7%OPEN →
Upper155.8%4,16039.7%OPEN →
Upper168.1%3,76335.2%OPEN →
Middle106.9%4,01827.9%OPEN →
Upper234.0%3,25828.2%OPEN →
Upper234.0%3,51433.0%OPEN →
Upper234.0%6,15625.2%OPEN →
Upper186.7%4,47171.4%OPEN →
Upper140.7%3,35664.7%OPEN →
Low42.6%4,10293.5%OPEN →
Moderate56.7%5,50092.6%OPEN →
Middle86.5%4,20681.0%OPEN →
Upper126.4%2,11779.5%OPEN →
Low44.8%2,92679.9%OPEN →
Upper171.6%4,07274.6%OPEN →
Middle89.0%5,68784.4%OPEN →
Middle86.9%5,09984.2%OPEN →
Upper132.1%3,48575.2%OPEN →
Moderate57.7%3,33983.6%OPEN →
Upper151.1%3,26670.7%OPEN →
Middle81.2%1,76263.7%OPEN →
Middle97.6%4,09564.5%OPEN →
Upper145.2%2,68870.4%OPEN →
—0.0%3,03165.6%OPEN →
Moderate73.6%3,34970.6%OPEN →
Upper234.0%2,59260.8%OPEN →
Upper160.7%5,82547.6%OPEN →
Upper213.4%2,61450.2%OPEN →
Middle99.9%2,99360.8%OPEN →
Moderate75.2%4,39873.1%OPEN →
Moderate71.2%4,68571.5%OPEN →
Upper172.2%4,44358.6%OPEN →
Low42.4%3,56161.7%OPEN →
Upper149.8%3,87360.5%OPEN →
Middle101.5%5,09969.1%OPEN →
Upper186.9%3,82450.2%OPEN →
Upper193.3%2,43448.9%OPEN →
Upper147.6%5,12061.4%OPEN →
Moderate71.1%4,80158.8%OPEN →
Upper120.5%4,77556.2%OPEN →
Upper194.5%2,91654.4%OPEN →
Low27.4%2,90668.4%OPEN →
Upper210.8%1,80036.3%OPEN →
Upper234.0%3,91149.4%OPEN →
Upper182.2%2,59839.8%OPEN →
Upper159.7%2,02230.8%OPEN →
Upper234.0%3,94124.8%OPEN →
Upper213.8%3,29127.9%OPEN →
Upper234.0%2,83627.7%OPEN →
Upper214.0%3,54826.8%OPEN →
Upper154.3%2,85027.4%OPEN →
Upper216.7%4,43640.0%OPEN →
Upper170.8%3,43034.6%OPEN →
Upper140.7%2,75539.4%OPEN →
Upper121.9%3,54360.5%OPEN →
Upper134.7%3,93444.5%OPEN →
—0.0%3,33153.7%OPEN →
Low48.1%1,94595.7%OPEN →
Middle94.1%2,82046.3%OPEN →
Middle101.8%3,63466.6%OPEN →
Moderate70.8%3,38051.3%OPEN →
Upper188.3%3,44952.1%OPEN →
Upper220.9%2,01229.9%OPEN →
Upper213.6%2,14341.6%OPEN →
Middle108.1%3,86158.5%OPEN →
Upper214.9%3,40832.9%OPEN →
Upper125.6%2,97938.1%OPEN →
Upper152.0%2,51826.3%OPEN →
Upper148.4%3,21536.3%OPEN →
Upper182.3%2,30333.4%OPEN →
Upper219.0%2,96833.4%OPEN →
Middle114.2%2,49228.2%OPEN →
Upper142.6%2,90040.4%OPEN →
Upper170.7%4,10038.9%OPEN →
Upper185.9%1,67244.7%OPEN →
Upper234.0%2,14540.2%OPEN →
Upper126.2%2,61741.5%OPEN →
Low20.1%2,48176.6%OPEN →
Upper196.2%2,60921.2%OPEN →
Upper184.6%2,16419.9%OPEN →
Upper204.8%3,92723.6%OPEN →
Upper151.7%2,23848.3%OPEN →
Upper178.7%2,58042.2%OPEN →
—0.0%2,42987.7%OPEN →
Upper234.0%2,79934.4%OPEN →
Upper227.9%2,69730.6%OPEN →
Middle105.8%3,21858.6%OPEN →
Upper234.0%2,98536.9%OPEN →
Upper177.2%4,30327.2%OPEN →
Upper153.4%3,74840.6%OPEN →
Middle96.8%3,84141.8%OPEN →
Low45.7%4,41097.9%OPEN →
Low17.1%1,25998.6%OPEN →
Low29.4%2,61398.8%OPEN →
Moderate64.9%3,63799.2%OPEN →
Low22.6%3,52899.4%OPEN →
Low30.4%3,49196.7%OPEN →
Low21.3%2,86799.2%OPEN →
Low25.9%3,83599.2%OPEN →
Low27.9%4,68798.7%OPEN →
Low37.5%2,52895.2%OPEN →
Low30.0%2,73097.2%OPEN →
Low40.8%4,69394.7%OPEN →
Moderate64.4%4,18594.1%OPEN →
Moderate76.6%3,80394.5%OPEN →
Low39.5%3,66397.9%OPEN →
Moderate59.1%5,22798.7%OPEN →
Low42.2%3,92798.5%OPEN →
Low33.9%2,57499.0%OPEN →
Low33.7%2,07296.4%OPEN →
Low45.5%4,59097.3%OPEN →
Moderate52.4%3,49998.1%OPEN →
Low46.8%3,45797.0%OPEN →
Low45.4%2,11498.3%OPEN →
Moderate59.3%3,79298.3%OPEN →
Moderate56.6%3,15597.9%OPEN →
Moderate78.5%4,14874.6%OPEN →
Upper128.4%1,86571.6%OPEN →
Upper189.7%3,10340.8%OPEN →
Upper184.6%3,36635.4%OPEN →
Upper234.0%3,15324.3%OPEN →
Upper191.6%2,69522.9%OPEN →
Upper180.8%3,22030.2%OPEN →
Upper180.1%3,02631.1%OPEN →
Upper197.3%2,44743.9%OPEN →
Upper225.3%1,84353.2%OPEN →
Upper182.7%2,81464.9%OPEN →
Middle93.2%3,57465.0%OPEN →
Moderate79.8%4,36071.4%OPEN →
Low45.0%4,03669.5%OPEN →
Low43.6%2,41783.8%OPEN →
Low41.1%3,06286.3%OPEN →
Low44.8%3,13793.7%OPEN →
Middle107.0%4,67694.5%OPEN →
Moderate65.4%4,60888.8%OPEN →
Upper160.9%3,10356.3%OPEN →
Middle93.8%2,77571.2%OPEN →
Low42.7%2,88990.7%OPEN →
Upper189.3%3,85364.7%OPEN →
Middle86.5%1,75067.5%OPEN →
Upper150.0%4,42479.3%OPEN →
Middle105.0%3,10675.2%OPEN →
Upper149.4%3,20872.4%OPEN →
Upper128.3%3,79690.0%OPEN →
Moderate79.8%1,52591.9%OPEN →
Moderate64.1%4,24388.0%OPEN →
Middle108.9%3,19486.9%OPEN →
Moderate50.4%4,52594.4%OPEN →
—0.0%——OPEN →
Low33.4%2,08697.3%OPEN →
Low24.4%4,48198.7%OPEN →
Moderate50.1%3,97197.8%OPEN →
Moderate79.1%1,99693.4%OPEN →
Moderate68.1%3,18899.3%OPEN →
Low23.1%1,84899.1%OPEN →
Middle80.9%2,06499.5%OPEN →
Low49.8%2,96898.9%OPEN →
Low40.5%2,51798.5%OPEN →
Middle83.3%3,52398.5%OPEN →
Low40.4%2,46199.1%OPEN →
Low31.7%4,43899.5%OPEN →
Middle114.5%2,36493.4%OPEN →
Middle95.0%2,77498.2%OPEN →
Middle90.3%2,00497.5%OPEN →
Moderate55.8%2,88698.0%OPEN →
Low43.0%2,79098.3%OPEN →
Low47.6%1,77396.9%OPEN →
Low30.4%2,25998.5%OPEN →
Upper202.4%2,69946.5%OPEN →
Upper159.0%3,34148.4%OPEN →
—0.0%2,63146.8%OPEN →
Middle111.2%3,60482.1%OPEN →
Low46.4%4,61697.7%OPEN →
Upper170.0%3,71261.8%OPEN →
Middle113.1%2,13048.7%OPEN →
Upper156.4%6,59443.7%OPEN →
Upper221.5%3,06842.3%OPEN →
Middle83.5%2,29639.7%OPEN →
—0.0%6,87940.7%OPEN →
Low41.3%3,33397.9%OPEN →
Middle118.6%2,42358.5%OPEN →
Upper214.0%1,85935.6%OPEN →
Middle95.2%5,90389.1%OPEN →
—0.0%17673.9%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

681,294

Median household income

$109,870

Median home value

$737,100

Median gross rent

$1,954

per month

Owner-occupied

41.5%

of occupied units

Housing units

361,014

10.1% vacant

Poverty rate

15.4%

Unemployment

6.3%

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 97.6

Social vulnerability

Relatively Moderate

Community resilience

Very High

ELEVATED PERILS

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

Federal disaster history

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

Months with an active declaration

72

Declarations recorded

23

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

Everything we hold on District of Columbia

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 District of Columbia.

HMDA loan-level (hmda_loan_wide, county_code)

Open the loan explorer for District of Columbia →Every reported application and origination in FIPS 11001, filterable on rate, amount, income, purpose and action taken. Loan-level tier.

VA

VA-guaranteed lending in District of Columbia 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

496

—

Purchase share

48.8%

242 loans

IRRRL refinances

212

Cash-out refinances

42

2026496—24221242
2025501—3638949
2024343—2813923
2023380—349526
2022——467128133
20211,843—5291,150164
20201,492—475844173
2019624—391121112
2018548—36156131
2017727—367198162
2016756—317289150
2015708—341251116

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 District of Columbia — 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

Washington DC 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

181

+24.0% vs 2024

Multifamily · 2025

1,410

−11.4% vs 2024

Total authorized · 2025

1,591

−8.4% vs 2024

Permit valuation · 2025

$288.6M

authorized construction value

Units authorized by year

Washington DC · total permitted units · hover for the single-family split

UNITS · SF IN TOOLTIP
02.5K5K7.5K10K19901992199419961998200020022004200620082010201220142016201820202022202420251,591 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 District of Columbia, showing population movement and wealth transfer.

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

outflow2223Prince George's County, MD4,0896,849$236.7M
inflow2223Prince George's County, MD3,4795,786$166.4M
outflow2223Montgomery County, MD3,1205,079$477.9M
inflow2223Montgomery County, MD2,4203,096$261.8M
outflow2223Arlington County, VA2,0002,445$262.7M
inflow2223Other flows - South, DS1,9862,563$135.2M
outflow2223Other flows - South, DS1,8522,709$203.1M
inflow2223Arlington County, VA1,7891,991$199.0M
outflow2223Fairfax County, VA1,6622,572$245.3M
outflow2223Alexandria city, VA1,2321,608$166.5M
outflow2223New York County, NY1,2101,324$150.6M
inflow2223Fairfax County, VA1,1771,483$140.0M
inflow2223Other flows - Midwest, DS9241,080$60.1M
inflow2223New York County, NY750887$120.7M
outflow2223Other flows - Northeast, DS731943$89.2M
outflow2223Kings County, NY727784$81.0M
outflow2223Other flows - West, DS7071,004$79.3M
inflow2223Other flows - West, DS699883$50.2M
inflow2223Other flows - Northeast, DS617721$56.2M
outflow2223Foreign - Overseas, FR606866$64.1M
inflow2223Alexandria city, VA605753$56.8M
outflow2223Other flows - Midwest, DS570822$55.4M
inflow2223Cook County, IL565654$55.7M
outflow2223Los Angeles County, CA563682$61.7M
outflow2223Cook County, IL526595$54.6M
inflow2223Los Angeles County, CA522591$49.5M
outflow2223Baltimore city, MD516680$47.0M
inflow2223Middlesex County, MA467518$39.3M
inflow2223Kings County, NY454559$55.0M
inflow2223Baltimore city, MD441546$41.1M
outflow2223Anne Arundel County, MD405646$62.8M
outflow2223Philadelphia County, PA360405$36.0M
inflow2223Philadelphia County, PA352396$31.4M
outflow2223Charles County, MD335666$23.2M
inflow2223Foreign - Overseas, FR333478$36.3M
inflow2223Anne Arundel County, MD321421$27.2M
outflow2223Foreign - APO/FPO ZIPs, FR321664$48.5M
inflow2223Suffolk County, MA314359$36.9M
outflow2223Middlesex County, MA310380$32.6M
inflow2223Fulton County, GA304365$27.4M
inflow2223Foreign - APO/FPO ZIPs, FR291582$39.4M
inflow2223King County, WA284364$38.8M
inflow2223Miami-Dade County, FL269320$27.6M
outflow2223Loudoun County, VA265409$39.6M
outflow2223King County, WA259321$32.2M
outflow2223Denver County, CO257294$32.4M
outflow2223Miami-Dade County, FL255338$46.0M
inflow2223Baltimore County, MD255331$18.0M
outflow2223Suffolk County, MA248267$28.2M
inflow2223San Diego County, CA240314$23.9M
outflow2223San Diego County, CA239301$30.2M
outflow2223San Francisco County, CA237263$34.1M
inflow2223Loudoun County, VA231306$23.8M
inflow2223Allegheny County, PA228259$17.0M
inflow2223Howard County, MD223266$21.1M
outflow2223Fulton County, GA221260$23.4M
inflow2223Harris County, TX217264$17.8M
outflow2223Howard County, MD209309$20.3M
outflow2223Harris County, TX207291$24.7M
inflow2223Travis County, TX206238$20.7M
inflow2223Charles County, MD205336$9.9M
inflow2223Alameda County, CA201236$18.7M
outflow2223Prince William County, VA197304$16.8M
outflow2223Richmond city, VA195255$21.4M
inflow2223Dallas County, TX193233$16.3M
inflow2223Wake County, NC192221$15.8M
inflow2223Mecklenburg County, NC192258$17.1M
inflow2223Broward County, FL187238$14.8M
inflow2223Maricopa County, AZ183201$13.7M
inflow2223San Francisco County, CA180228$40.9M
outflow2223Travis County, TX175217$24.6M
outflow2223Mecklenburg County, NC175229$21.4M
inflow2223Queens County, NY173201$15.6M
inflow2223Prince William County, VA171222$11.2M
outflow2223Baltimore County, MD161225$17.1M
outflow2223Alameda County, CA160200$19.4M
inflow2223Santa Clara County, CA159181$15.8M
outflow2223Queens County, NY158178$12.2M
inflow2223Palm Beach County, FL157183$13.5M
outflow2223Dallas County, TX150182$16.6M
outflow2223Wake County, NC148208$17.8M
outflow2223Broward County, FL145200$21.5M
inflow2223Westchester County, NY144165$9.8M
inflow2223Nassau County, NY143159$9.8M
inflow2223Orange County, CA142158$11.3M
inflow2223Western Connecticut Planning Regi, CT142157$11.3M
outflow2223Allegheny County, PA140173$12.5M
inflow2223South Central Connecticut Plannin, CT138163$11.3M
inflow2223Durham County, NC136162$12.7M
inflow2223Hennepin County, MN134156$9.4M
outflow2223Hudson County, NJ133160$15.5M
inflow2223Davidson County, TN131145$11.1M
inflow2223Washtenaw County, MI130146$8.8M
inflow2223Franklin County, OH130160$10.5M
inflow2223Denver County, CO129155$11.9M
inflow2223Montgomery County, PA128135$7.7M
inflow2223Norfolk County, MA126141$10.1M
inflow2223DeKalb County, GA123156$10.9M
inflow2223Richmond city, VA121135$9.6M
inflow2223Suffolk County, NY118130$9.0M
outflow2223Maricopa County, AZ115152$11.2M
outflow2223Palm Beach County, FL112159$46.2M
inflow2223Hillsborough County, FL112130$10.5M
inflow2223Orange County, FL111133$9.5M
inflow2223Oakland County, MI111131$8.4M
outflow2223Orange County, CA110137$11.2M
outflow2223Davidson County, TN109127$12.0M
outflow2223Hennepin County, MN105132$11.7M
inflow2223Essex County, NJ105126$8.4M
outflow2223Frederick County, MD101152$10.7M
outflow2223Charleston County, SC96114$15.6M
outflow2223Santa Clara County, CA95116$13.0M
inflow2223Capitol Planning Region, CT95111$7.2M
outflow2223Hillsborough County, FL94129$12.6M
inflow2223New Castle County, DE93108$7.1M
inflow2223Bergen County, NJ93101$5.9M
outflow2223Durham County, NC93113$8.8M
outflow2223South Central Connecticut Plannin, CT92108$7.5M
inflow2223Cuyahoga County, OH92100$7.8M
inflow2223Clark County, NV91119$5.8M
inflow2223Hudson County, NJ88103$9.9M
outflow2223Multnomah County, OR88101$9.9M
inflow2223Orleans Parish, LA87105$6.4M
inflow2223Orange County, NC8695$7.5M
inflow2223Multnomah County, OR86106$6.7M
inflow2223Mercer County, NJ8695$7.8M
inflow2223Wayne County, MI85105$7.6M
inflow2223Middlesex County, NJ8597$8.7M
inflow2223Bronx County, NY85100$4.3M
inflow2223Albemarle County, VA8499$7.0M
outflow2223DeKalb County, GA83123$9.5M
inflow2223Essex County, MA8390$5.0M
inflow2223Monmouth County, NJ8390$5.7M
inflow2223Virginia Beach city, VA81103$12.5M
inflow2223Hamilton County, OH8082$6.6M
inflow2223Chester County, PA8087$5.7M
inflow2223Frederick County, MD80107$6.6M
inflow2223Charlottesville city, VA7988$8.2M
outflow2223Norfolk County, MA78109$10.8M
outflow2223Pinellas County, FL7799$10.2M
inflow2223Monroe County, NY7792$6.9M
inflow2223Duval County, FL77107$6.1M
outflow2223Western Connecticut Planning Regi, CT7494$10.0M
inflow2223Dane County, WI7288$5.5M
outflow2223Albemarle County, VA7298$9.3M
outflow2223Montgomery County, PA72104$11.4M
inflow2223Charleston County, SC7286$5.7M
outflow2223Westchester County, NY7194$7.5M
outflow2223Oakland County, MI7186$7.7M
outflow2223Orange County, FL7198$9.8M
inflow2223Norfolk city, VA7198$5.9M
inflow2223Onondaga County, NY6976$3.8M
inflow2223Cobb County, GA6980$5.8M
outflow2223Duval County, FL6898$8.6M
inflow2223Providence County, RI6886$5.3M
inflow2223Henrico County, VA6885$4.7M
outflow2223Charlottesville city, VA6792$8.6M
outflow2223Franklin County, OH6791$5.7M
inflow2223Worcester County, MA6772$4.8M
inflow2223Morris County, NJ6768$4.7M
inflow2223Erie County, NY6775$4.9M
outflow2223Sussex County, DE66104$13.5M
inflow2223Marion County, IN6676$5.3M
inflow2223Delaware County, PA6670$5.8M
outflow2223Clark County, NV6590$7.0M
inflow2223San Mateo County, CA6584$8.1M
inflow2223Bucks County, PA6570$4.4M
outflow2223Washtenaw County, MI6480$7.0M
outflow2223Orleans Parish, LA6477$8.8M
inflow2223Bexar County, TX6495$7.0M
inflow2223Pima County, AZ6474$4.3M
inflow2223Shelby County, TN6479$4.9M
inflow2223Tarrant County, TX6479$4.7M
outflow2223Cuyahoga County, OH6385$6.8M
inflow2223Union County, NJ6367$4.8M
outflow2223Henrico County, VA6279$6.1M
outflow2223Cumberland County, ME6283$8.8M
outflow2223Bexar County, TX60102$8.4M
inflow2223Jefferson County, KY6068$3.7M
outflow2223Virginia Beach city, VA5998$9.8M
outflow2223Calvert County, MD59106$6.4M
outflow2223Boulder County, CO5976$9.3M
inflow2223Boulder County, CO5968$6.5M
outflow2223Tarrant County, TX5877$6.4M
inflow2223Pinellas County, FL5877$4.7M
inflow2223Lake County, IL5863$3.7M
outflow2223Suffolk County, NY5773$5.0M
outflow2223Nassau County, NY5771$6.1M
inflow2223Richland County, SC5772$3.4M
outflow2223Salt Lake County, UT5563$6.8M
inflow2223DuPage County, IL5556$2.8M
inflow2223Collin County, TX5558$3.9M
inflow2223Contra Costa County, CA5458$5.0M
inflow2223Gwinnett County, GA5368$3.3M
outflow2223Essex County, NJ5379$6.0M
inflow2223Leon County, FL5153$2.6M
inflow2223St. Louis County, MO5155$3.4M
inflow2223Salt Lake County, UT5158$4.5M
outflow2223Falls Church city, VA5078$8.0M
outflow2223Chesterfield County, VA5072$4.0M

UAD APPRAISALS

FHFA Uniform Appraisal Dataset aggregates for District of Columbia.

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

2023PurchaseNo CharacteristicAll Appraisals2,495.0
2023PurchaseNo CharacteristicAll Appraisals0.3
2023RefinanceNo CharacteristicAll Appraisals859.0
2023PurchaseNo CharacteristicAll Appraisals1.0
2023BothNo CharacteristicAll Appraisals3,354.0
2023PurchaseNo CharacteristicAll Appraisals0.7
2023PurchaseNo CharacteristicAll Appraisals1.0
2023RefinanceNo CharacteristicAll Appraisals710,000.0
2023BothNo CharacteristicAll Appraisals780,000.0
2023PurchaseNo CharacteristicAll Appraisals815,000.0
2023PurchaseNo CharacteristicAll Appraisals0.0
2022PurchaseNo CharacteristicAll Appraisals1.0
2022BothNo CharacteristicAll Appraisals865,000.0
2022PurchaseNo CharacteristicAll Appraisals0.3
2022PurchaseNo CharacteristicAll Appraisals902,900.0
2022PurchaseNo CharacteristicAll Appraisals1.0
2022RefinanceNo CharacteristicAll Appraisals2,098.0
2022PurchaseNo CharacteristicAll Appraisals0.1
2022PurchaseNo CharacteristicAll Appraisals0.7
2022RefinanceNo CharacteristicAll Appraisals793,000.0
2022BothNo CharacteristicAll Appraisals5,284.0
2022PurchaseNo CharacteristicAll Appraisals3,186.0
2021PurchaseNo CharacteristicAll Appraisals1.0
2021RefinanceNo CharacteristicAll Appraisals975,000.0
2021BothNo CharacteristicAll Appraisals11,016.0
2021PurchaseNo CharacteristicAll Appraisals1.0
2021PurchaseNo CharacteristicAll Appraisals4,001.0
2021PurchaseNo CharacteristicAll Appraisals0.3
2021RefinanceNo CharacteristicAll Appraisals7,015.0
2021PurchaseNo CharacteristicAll Appraisals0.1
2021BothNo CharacteristicAll Appraisals950,000.0
2021PurchaseNo CharacteristicAll Appraisals0.6
2021PurchaseNo CharacteristicAll Appraisals920,000.0
2020PurchaseNo CharacteristicAll Appraisals0.1
2020PurchaseNo CharacteristicAll Appraisals1.0
2020BothNo CharacteristicAll Appraisals11,584.0
2020PurchaseNo CharacteristicAll Appraisals3,727.0
2020PurchaseNo CharacteristicAll Appraisals0.6
2020BothNo CharacteristicAll Appraisals878,000.0
2020RefinanceNo CharacteristicAll Appraisals935,000.0
2020RefinanceNo CharacteristicAll Appraisals7,857.0
2020PurchaseNo CharacteristicAll Appraisals806,500.0
2020PurchaseNo CharacteristicAll Appraisals1.0
2020PurchaseNo CharacteristicAll Appraisals0.3
2019PurchaseNo CharacteristicAll Appraisals0.1
2019PurchaseNo CharacteristicAll Appraisals1.0
2019BothNo CharacteristicAll Appraisals755,800.0
2019PurchaseNo CharacteristicAll Appraisals3,491.0
2019PurchaseNo CharacteristicAll Appraisals0.3
2019PurchaseNo CharacteristicAll Appraisals1.0
2019RefinanceNo CharacteristicAll Appraisals772,000.0
2019BothNo CharacteristicAll Appraisals8,296.0
2019RefinanceNo CharacteristicAll Appraisals4,805.0
2019PurchaseNo CharacteristicAll Appraisals740,000.0
2019PurchaseNo CharacteristicAll Appraisals0.7
2018RefinanceNo CharacteristicAll Appraisals600,000.0
2018BothNo CharacteristicAll Appraisals6,148.0
2018PurchaseNo CharacteristicAll Appraisals3,383.0
2018RefinanceNo CharacteristicAll Appraisals2,765.0
2018BothNo CharacteristicAll Appraisals667,000.0
2018PurchaseNo CharacteristicAll Appraisals724,000.0
2018PurchaseNo CharacteristicAll Appraisals0.6
2018PurchaseNo CharacteristicAll Appraisals0.1
2018PurchaseNo CharacteristicAll Appraisals0.3
2018PurchaseNo CharacteristicAll Appraisals1.0
2018PurchaseNo CharacteristicAll Appraisals1.0
2017RefinanceNo CharacteristicAll Appraisals640,000.0
2017PurchaseNo CharacteristicAll Appraisals1.0
2017PurchaseNo CharacteristicAll Appraisals1.0
2017PurchaseNo CharacteristicAll Appraisals0.3
2017PurchaseNo CharacteristicAll Appraisals0.1
2017BothNo CharacteristicAll Appraisals6,821.0
2017PurchaseNo CharacteristicAll Appraisals3,401.0
2017PurchaseNo CharacteristicAll Appraisals690,000.0
2017RefinanceNo CharacteristicAll Appraisals3,420.0
2017PurchaseNo CharacteristicAll Appraisals0.7
2017BothNo CharacteristicAll Appraisals660,000.0
2016PurchaseNo CharacteristicAll Appraisals2,946.0
2016RefinanceNo CharacteristicAll Appraisals690,000.0
2016PurchaseNo CharacteristicAll Appraisals1.0
2016PurchaseNo CharacteristicAll Appraisals670,000.0
2016PurchaseNo CharacteristicAll Appraisals0.7
2016PurchaseNo CharacteristicAll Appraisals0.1
2016BothNo CharacteristicAll Appraisals682,000.0
2016PurchaseNo CharacteristicAll Appraisals1.0
2016PurchaseNo CharacteristicAll Appraisals0.3
2016BothNo CharacteristicAll Appraisals8,881.0
2016RefinanceNo CharacteristicAll Appraisals5,935.0
2015PurchaseNo CharacteristicAll Appraisals1.0
2015PurchaseNo CharacteristicAll Appraisals650,000.0
2015PurchaseNo CharacteristicAll Appraisals0.3
2015RefinanceNo CharacteristicAll Appraisals660,000.0
2015BothNo CharacteristicAll Appraisals7,844.0
2015RefinanceNo CharacteristicAll Appraisals5,107.0
2015PurchaseNo CharacteristicAll Appraisals0.1
2015PurchaseNo CharacteristicAll Appraisals0.7
2015PurchaseNo CharacteristicAll Appraisals2,737.0
2015BothNo CharacteristicAll Appraisals655,500.0
2015PurchaseNo CharacteristicAll Appraisals1.0
2014BothNo CharacteristicAll Appraisals610,000.0

ECONOMY & INCOME

Local economy indicators — BLS unemployment rates and BEA personal income for District of Columbia.

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

BLS Local Area Unemployment

2026-06402,068377,45824,6106.1%
2026-05401,270377,20924,0616.0%
2026-04401,508379,32922,1795.5%
2026-03402,645379,76722,8785.7%
2026-02405,671380,92824,7436.1%
2026-01402,421377,50924,9126.2%
2025-12408,968382,88126,0876.4%
2025-11409,281381,41627,8656.8%
2025-09406,266378,66927,5976.8%
2025-08406,883378,17028,7137.1%
2025-07418,025389,69228,3336.8%
2025-06416,299389,61926,6806.4%
2025-05408,710384,89823,8125.8%
2025-04411,927389,06722,8605.5%
2025-03417,247391,95725,2906.1%
2025-02419,065393,99425,0716.0%
2025-01414,837390,79724,0405.8%
2024-12412,688391,61921,0695.1%
2024-11413,341391,91821,4235.2%
2024-10412,556390,91521,6415.2%
2024-09410,976389,15721,8195.3%
2024-08411,690386,51925,1716.1%
2024-07420,927395,84825,0796.0%
2024-06414,906391,28623,6205.7%
2024-05408,775388,48720,2885.0%
2024-04411,947393,44318,5044.5%
2024-03417,741396,91420,8275.0%
2024-02413,621391,91921,7025.2%
2024-01411,057389,87321,1845.2%
2023-12409,871390,62119,2504.7%
2023-11410,781391,72519,0564.6%
2023-10409,373388,85720,5165.0%
2023-09407,738387,26520,4735.0%
2023-08405,936383,91122,0255.4%
2023-07411,246390,39020,8565.1%
2023-06406,195385,19521,0005.2%
2023-05401,584383,28318,3014.6%
2023-04397,936381,77216,1644.1%
2023-03401,720382,20319,5174.9%
2023-02401,154381,30519,8494.9%
2023-01398,291379,09219,1994.8%
2022-12393,276376,96716,3094.1%
2022-11392,579375,99116,5884.2%
2022-10393,147376,01517,1324.4%
2022-09395,584378,91216,6724.2%
2022-08397,492378,87118,6214.7%
2022-07404,245385,29118,9544.7%
2022-06397,347377,83519,5124.9%
2022-05392,395375,38817,0074.3%
2022-04391,565374,87816,6874.3%
2022-03395,154375,10920,0455.1%
2022-02392,635371,22621,4095.5%
2022-01386,013362,36423,6496.1%
2021-12383,820363,85719,9635.2%
2021-11389,564365,22124,3436.2%
2021-10385,602360,88424,7186.4%
2021-09384,460358,26126,1996.8%
2021-08384,857356,05128,8067.5%
2021-07392,799363,19829,6017.5%
2021-06385,579354,87030,7098.0%
2021-05376,828351,54225,2866.7%
2021-04375,354350,43624,9186.6%
2021-03377,995351,91026,0856.9%
2021-02377,994351,74626,2486.9%
2021-01374,003349,50424,4996.6%
2020-12376,044348,72127,3237.3%
2020-11379,727348,47331,2548.2%
2020-10381,179349,10832,0718.4%
2020-09380,183345,90034,2839.0%
2020-08382,368349,45232,9168.6%
2020-07382,885347,40735,4789.3%
2020-06378,332344,78933,5438.9%
2020-05373,927340,91933,0088.8%
2020-04389,675348,90140,77410.5%
2020-03404,815378,67026,1456.5%
2020-02407,632385,98221,6505.3%
2020-01405,498383,28122,2175.5%
2019-12400,886380,87220,0145.0%
2019-11404,054384,40719,6474.9%
2019-10399,356378,44520,9115.2%
2019-09401,443380,56120,8825.2%
2019-08399,475376,41423,0615.8%
2019-07408,645383,99424,6516.0%
2019-06401,663377,87123,7925.9%
2019-05398,888377,85621,0325.3%
2019-04398,630378,91019,7204.9%
2019-03403,021379,82323,1985.8%
2019-02400,374376,37024,0046.0%
2019-01395,293369,20426,0896.6%
2018-12396,421374,63321,7885.5%
2018-11395,462375,02120,4415.2%
2018-10394,119372,76821,3515.4%
2018-09391,225369,86721,3585.5%
2018-08389,717366,18223,5356.0%
2018-07404,162379,56324,5996.1%
2018-06399,273374,51624,7576.2%
2018-05395,827375,10120,7265.2%
2018-04397,489377,01420,4755.2%
2018-03398,980375,51623,4645.9%
2018-02399,605375,47624,1296.0%

BEA Personal Income

2024$78.08B702,250$111K
2023$73.30B687,324$107K
2022$68.25B676,725$101K
2021$65.68B669,256$98K
2020$60.88B670,917$91K
2019$57.51B687,320$84K
2018$56.40B685,476$82K
2017$54.16B680,670$80K
2016$52.19B673,428$78K
2015$49.74B665,135$75K
2014$46.12B653,986$71K
2013$43.21B644,203$67K
2012$42.58B630,643$68K
2011$41.36B617,465$67K
2010$38.21B604,718$63K
2009$35.54B592,228$60K
2008$35.17B580,236$61K
2007$34.10B574,404$59K
2006$31.61B570,681$55K
2005$29.88B567,136$53K
2004$28.38B567,754$50K
2003$26.14B568,502$46K
2002$25.86B573,158$45K
2001$25.74B574,504$45K
2000$24.83B572,046$43K
1999$22.63B570,213$40K
1998$21.51B565,230$38K
1997$20.24B567,736$36K
1996$19.35B572,377$34K
1995$18.59B580,517$32K
1994$18.46B589,239$31K
1993$18.04B595,301$30K
1992$17.35B597,565$29K
1991——$28K

NFIP FLOOD CLAIMS

FEMA National Flood Insurance Program (NFIP) realised flood loss claims in District of Columbia.

FEMA NFIP redacted claims (nfip_claim, county_code)

2026-07-01$0——Yes
2026-05-08$0——No
2026-02-11$0——Yes
2025-07-19$6K$6K$0Yes
2025-07-19$30K$30K$0No
2025-07-13$3K$3K$0Yes
2025-06-13$0——Yes
2025-01-24$0$0$0Yes
2024-12-11$0$0$0No
2024-07-16$0——Yes
2024-06-13$3K$3K$0Yes
2024-04-04$0——Yes
2024-04-03$0——Yes
2024-04-03$0——Yes
2024-02-03$0$0$0Yes
2024-01-06$0——Yes
2023-09-24$3K$3K$0No
2023-09-23$0——Yes
2023-09-23$4K$4K$0Yes
2023-09-10$0——Yes
2023-08-14$7K$7K$686.3Yes
2023-08-14$600K$500K$200KNo
2023-07-31$8K$8K$0No
2023-07-10$0——Yes
2023-07-10$171.64$171.64$0Yes
2023-04-25$1K$1K$0Yes
2023-04-22$0——No
2023-04-16$0$0$0No
2022-12-15$0——Yes
2022-11-04$0——Yes
2022-09-10$862.03$862.03$0Yes
2022-08-10$7K$7K$0Yes
2022-07-10$3K$3K$0No
2022-07-09$0——Yes
2022-07-03$0——No
2022-07-02$0$0$0Yes
2022-07-02$0——No
2022-05-04$15K$12K$3KYes
2021-10-29$0——Yes
2021-09-02$9K$9K$0Yes
2021-08-31$33K$33K$0Yes
2021-08-31$8K$8K$0Yes
2021-08-31$6K$6K$0No
2021-08-26$7K$7K$0No
2021-08-18$15K$15K$0No
2021-07-26$0——Yes
2021-07-17$9K$9K$0No
2021-07-08$0——No
2021-07-01$0——Yes
2021-07-01$433.7$433.7$0Yes
2021-07-01$345.02$345.02$0No
2021-07-01$21K$21K$0Yes
2021-06-14$0——Yes
2021-05-11$0——Yes
2021-03-25$0$0$0Yes
2021-03-24$782.15$0$782.15Yes
2020-11-12$0——Yes
2020-10-29$158$158$0Yes
2020-10-26$0——Yes
2020-10-14$158$158$0Yes
2020-10-13$0$0$0Yes
2020-09-10$748.73$748.73$0Yes
2020-09-10$3K$3K$0Yes
2020-09-10$5K$5K$0Yes
2020-09-10$0$0$0No
2020-09-10$7K$7K$0Yes
2020-09-10$14K$13K$752.62Yes
2020-09-10$3K$3K$0Yes
2020-09-10$8K$8K$0Yes
2020-09-10$1K$1K$0Yes
2020-09-10$959.46$959.46$0Yes
2020-09-10$0——Yes
2020-09-10$0——Yes
2020-09-10$0——No
2020-09-10$5K$5K$0No
2020-09-10$4K$4K$0Yes
2020-09-10$21K$21K$0No
2020-09-10$1K$1K$0Yes
2020-09-10$1K$1K$0Yes
2020-09-10$0——No
2020-09-10$6K$6K$0Yes
2020-09-10$9K$9K$0No
2020-09-10$26K$26K$0Yes
2020-09-10$7K$7K$0Yes
2020-09-10$4K$4K$0No
2020-09-10$7K$7K$0Yes
2020-09-10$72K$72K$0Yes
2020-09-10$0——Yes
2020-09-10$15K$15K$0Yes
2020-09-10$3K$3K$0Yes
2020-09-10$0——Yes
2020-09-10$0——Yes
2020-09-10$1K$290$973.31Yes
2020-09-10$495.36$495.36$0Yes
2020-09-10$0——Yes
2020-09-10$1K$1K$0Yes
2020-09-10$4K$4K$0Yes
2020-09-10$10K$10K$272.03No
2020-09-09$36K$34K$2KYes
2020-08-04$4K$4K$0Yes

ALSO CHECKED

18 more data areas were checked for District of Columbia 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 DC state hub, which carries the same registry at the grain those sources actually have.

Go deeper

EVERY HMDA RECORD IN DISTRICT OF COLUMBIA →Opens the loan explorer already filtered to county FIPS 11001.

See the District of Columbia state market profile for the statewide picture, the District of Columbia 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.