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State markets/Puerto Rico/San Sebastián Municipio

COUNTY MORTGAGE MARKET · FIPS 72131

San Sebastián Municipio, Puerto Rico

Who lends in San Sebastián Municipio, 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

$17.1M

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

Originations · 2025

114

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

Denial rate · 2025

18.8%

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

Lenders active · 2025

23

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 23 lenders that originated in San Sebastián Municipio in 2025. HHI is the Herfindahl-Hirschman index over lender shares.

Concentration (HHI)

1,173

unconcentrated

Top-5 lender share

63.1%

of originations

Purchase

89.5%

94 loans

Refinance

10.5%

11 loans

Origination trend

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

Lenders in San Sebastián Municipio

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 San Sebastián Municipio 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 SAN SEBASTIÁN MUNICIPIO

TOP TEN LENDERS IN SAN SEBASTIÁN MUNICIPIO · 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.

26$3.9M$3.9M originated in San Sebastián Municipio, 2025Share needs a county-wide denominator, which the narrower fallback source does not carry.
24$3.4M$3.4M originated in San Sebastián Municipio, 2025Share needs a county-wide denominator, which the narrower fallback source does not carry.
6$1.3M$1.3M originated in San Sebastián Municipio, 2025Share needs a county-wide denominator, which the narrower fallback source does not carry.
6$1.2M$1.2M originated in San Sebastián Municipio, 2025Share needs a county-wide denominator, which the narrower fallback source does not carry.
6$1.1M$1.1M originated in San Sebastián Municipio, 2025Share needs a county-wide denominator, which the narrower fallback source does not carry.
7$1.1M$1.1M originated in San Sebastián Municipio, 2025Share needs a county-wide denominator, which the narrower fallback source does not carry.
7$875K$875K originated in San Sebastián Municipio, 2025Share needs a county-wide denominator, which the narrower fallback source does not carry.
10$870K$870K originated in San Sebastián Municipio, 2025Share needs a county-wide denominator, which the narrower fallback source does not carry.
1$505K$505K originated in San Sebastián Municipio, 2025Share needs a county-wide denominator, which the narrower fallback source does not carry.
2$480K$480K originated in San Sebastián Municipio, 2025Share needs a county-wide denominator, which the narrower fallback source does not carry.

Source: the precomputed county lender leaderboard (lender_county_year) — its ten largest lenders by origination volume, not the county. As of HMDA activity year 2025. Denial rate = denials / decisioned applications (originated + approved-but-not-accepted + denied).

ZIP areas in San Sebastián Municipio

All 3 ZIP Code Tabulation Areas that touch San Sebastián Municipio, 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.
3 OF 3 ZIP AREASEVERY ZIP AREA TOUCHING THE COUNTY — NO ROWS WITHHELD
ZIP AREA (ZCTA)TRACTSPOPULATIONMINORITY %OWNER-OCC UNITSORIGINATIONSVOLUMETOP LENDERRECORDS
99 of the 9 San Sebastián Municipio tracts this ZIP area touches sit mostly inside it.39,34599.6%9,297TRACTS →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 San Sebastián Municipio 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 San Sebastián Municipio 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.

9 of San Sebastián Municipio’s 9 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 San Sebastián Municipio

All 9 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.

9 OF 9 TRACTSEVERY TRACT IN THE COUNTY — NO ROWS WITHHELD
TOP LENDERRECORDS
Moderate61.9%2,30999.8%OPEN →
Middle85.5%4,29699.6%OPEN →
Middle97.4%5,27099.5%OPEN →
Middle103.8%6,53799.5%OPEN →
0.0%2,52999.7%OPEN →
Middle119.3%3,63299.5%OPEN →
Upper120.5%5,41599.6%OPEN →
Moderate79.6%4,15499.8%OPEN →
Middle106.0%5,20399.5%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

39,088

Median household income

$19,920

Median home value

$115,000

Median gross rent

$508

per month

Owner-occupied

74.7%

of occupied units

Housing units

19,193

23.9% vacant

Poverty rate

49.7%

Unemployment

13.0%

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

Insufficient Data

Social vulnerability

Data Unavailable

Community resilience

Data Unavailable

Federal disaster history

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

Months with an active declaration

69

Declarations recorded

26

Incident types on record: Biological, Earthquake, Flood, Hurricane, Severe Storm, Tropical Storm.

Everything we hold on San Sebastián Municipio

8 data areas have rows for this county. Each one is one click away below; the 22 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 San Sebastián Municipio.

HMDA loan-level (hmda_loan_wide, county_code)

Open the loan explorer for San Sebastián MunicipioEvery reported application and origination in FIPS 72131, filterable on rate, amount, income, purpose and action taken. Loan-level tier.

VA

VA-guaranteed lending in San Sebastián Municipio 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

9

Purchase share

77.8%

7 loans

IRRRL refinances

0

Cash-out refinances

2

20269702
20259900
202410901
20234400
20221110
2021111010
20207601
20197700
20182200
20173201
20167322
201511443

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.

UAD APPRAISALS

FHFA Uniform Appraisal Dataset aggregates for San Sebastián Municipio.

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

2023PurchaseNo CharacteristicAll Appraisals29.0
2023PurchaseNo CharacteristicAll Appraisals0.1
2023RefinanceNo CharacteristicAll Appraisals12.0
2023PurchaseNo CharacteristicAll Appraisals1.1
2023BothNo CharacteristicAll Appraisals41.0
2023PurchaseNo CharacteristicAll Appraisals0.5
2023PurchaseNo CharacteristicAll Appraisals1.0
2023RefinanceNo CharacteristicAll Appraisals154,500.0
2023BothNo CharacteristicAll Appraisals156,000.0
2023PurchaseNo CharacteristicAll Appraisals157,000.0
2023PurchaseNo CharacteristicAll Appraisals0.3
2022PurchaseNo CharacteristicAll Appraisals1.0
2022BothNo CharacteristicAll Appraisals140,500.0
2022PurchaseNo CharacteristicAll Appraisals0.1
2022PurchaseNo CharacteristicAll Appraisals137,000.0
2022PurchaseNo CharacteristicAll Appraisals1.0
2022RefinanceNo CharacteristicAll Appraisals21.0
2022PurchaseNo CharacteristicAll Appraisals0.2
2022PurchaseNo CharacteristicAll Appraisals0.7
2022RefinanceNo CharacteristicAll Appraisals148,000.0
2022BothNo CharacteristicAll Appraisals64.0
2022PurchaseNo CharacteristicAll Appraisals43.0
2021PurchaseNo CharacteristicAll Appraisals1.1
2021RefinanceNo CharacteristicAll Appraisals157,000.0
2021BothNo CharacteristicAll Appraisals68.0
2021PurchaseNo CharacteristicAll Appraisals0.9
2021PurchaseNo CharacteristicAll Appraisals27.0
2021PurchaseNo CharacteristicAll Appraisals0.0
2021RefinanceNo CharacteristicAll Appraisals41.0
2021PurchaseNo CharacteristicAll Appraisals0.2
2021BothNo CharacteristicAll Appraisals142,500.0
2021PurchaseNo CharacteristicAll Appraisals0.8
2021PurchaseNo CharacteristicAll Appraisals121,000.0
2020PurchaseNo CharacteristicAll Appraisals0.0
2020PurchaseNo CharacteristicAll Appraisals1.2
2020BothNo CharacteristicAll Appraisals40.0
2020PurchaseNo CharacteristicAll Appraisals15.0
2020PurchaseNo CharacteristicAll Appraisals0.9
2020BothNo CharacteristicAll Appraisals128,300.0
2020RefinanceNo CharacteristicAll Appraisals128,000.0
2020RefinanceNo CharacteristicAll Appraisals25.0
2020PurchaseNo CharacteristicAll Appraisals140,000.0
2020PurchaseNo CharacteristicAll Appraisals0.9
2020PurchaseNo CharacteristicAll Appraisals0.1
2019PurchaseNo CharacteristicAll Appraisals0.1
2019PurchaseNo CharacteristicAll Appraisals0.9
2019BothNo CharacteristicAll Appraisals137,000.0
2019PurchaseNo CharacteristicAll Appraisals15.0
2019PurchaseNo CharacteristicAll Appraisals0.0
2019PurchaseNo CharacteristicAll Appraisals1.2
2019RefinanceNo CharacteristicAll Appraisals150,000.0
2019BothNo CharacteristicAll Appraisals33.0
2019RefinanceNo CharacteristicAll Appraisals18.0
2019PurchaseNo CharacteristicAll Appraisals126,000.0
2019PurchaseNo CharacteristicAll Appraisals0.9
2018RefinanceNo CharacteristicAll Appraisals126,500.0
2018BothNo CharacteristicAll Appraisals26.0
2018PurchaseNo CharacteristicAll Appraisals12.0
2018RefinanceNo CharacteristicAll Appraisals14.0
2018BothNo CharacteristicAll Appraisals125,500.0
2018PurchaseNo CharacteristicAll Appraisals125,500.0
2018PurchaseNo CharacteristicAll Appraisals0.7
2018PurchaseNo CharacteristicAll Appraisals0.2
2018PurchaseNo CharacteristicAll Appraisals0.2
2018PurchaseNo CharacteristicAll Appraisals0.9
2018PurchaseNo CharacteristicAll Appraisals1.1
2017RefinanceNo CharacteristicAll Appraisals131,000.0
2017PurchaseNo CharacteristicAll Appraisals0.9
2017PurchaseNo CharacteristicAll Appraisals1.2
2017PurchaseNo CharacteristicAll Appraisals0.1
2017PurchaseNo CharacteristicAll Appraisals0.0
2017BothNo CharacteristicAll Appraisals53.0
2017PurchaseNo CharacteristicAll Appraisals23.0
2017PurchaseNo CharacteristicAll Appraisals134,000.0
2017RefinanceNo CharacteristicAll Appraisals30.0
2017PurchaseNo CharacteristicAll Appraisals0.9
2017BothNo CharacteristicAll Appraisals132,000.0
2016PurchaseNo CharacteristicAll Appraisals
2016RefinanceNo CharacteristicAll Appraisals
2016PurchaseNo CharacteristicAll Appraisals
2016PurchaseNo CharacteristicAll Appraisals
2016PurchaseNo CharacteristicAll Appraisals
2016PurchaseNo CharacteristicAll Appraisals
2016BothNo CharacteristicAll Appraisals140,000.0
2016PurchaseNo CharacteristicAll Appraisals
2016PurchaseNo CharacteristicAll Appraisals
2016BothNo CharacteristicAll Appraisals71.0
2016RefinanceNo CharacteristicAll Appraisals
2015PurchaseNo CharacteristicAll Appraisals1.2
2015PurchaseNo CharacteristicAll Appraisals128,000.0
2015PurchaseNo CharacteristicAll Appraisals0.1
2015RefinanceNo CharacteristicAll Appraisals142,500.0
2015BothNo CharacteristicAll Appraisals68.0
2015RefinanceNo CharacteristicAll Appraisals52.0
2015PurchaseNo CharacteristicAll Appraisals0.1
2015PurchaseNo CharacteristicAll Appraisals0.8
2015PurchaseNo CharacteristicAll Appraisals16.0
2015BothNo CharacteristicAll Appraisals140,000.0
2015PurchaseNo CharacteristicAll Appraisals0.9
2014BothNo CharacteristicAll Appraisals132,000.0

ECONOMY & INCOME

Local economy indicators — BLS unemployment rates and BEA personal income for San Sebastián Municipio.

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

BLS Local Area Unemployment

2026-0513,73812,8189206.7%
2026-0413,95713,0439146.5%
2026-0314,22813,2589706.8%
2026-0214,23813,2371,0017.0%
2026-0114,16013,1371,0237.2%
2025-1214,13913,1081,0317.3%
2025-1114,07513,0481,0277.3%
2025-1013,86412,7661,0987.9%
2025-0913,84612,6991,1478.3%
2025-0813,87612,6881,1888.6%
2025-0713,49212,6068866.6%
2025-0613,67712,7679106.7%
2025-0513,50612,6908166.0%
2025-0413,69412,8018936.5%
2025-0313,90913,0089016.5%
2025-0213,90912,9579526.8%
2025-0114,17313,1191,0547.4%
2024-1214,13512,9151,2208.6%
2024-1114,38313,1341,2498.7%
2024-1013,96612,7541,2128.7%
2024-0913,89512,7061,1898.6%
2024-0813,67512,4151,2609.2%
2024-0713,54512,2931,2529.2%
2024-0613,43812,4509887.4%
2024-0513,46312,4779867.3%
2024-0413,48012,4791,0017.4%
2024-0313,83112,7991,0327.5%
2024-0213,85512,7491,1068.0%
2024-0113,99512,8911,1047.9%
2023-1213,68112,6531,0287.5%
2023-1113,70612,6491,0577.7%
2023-1013,50112,5149877.3%
2023-0913,47412,4681,0067.5%
2023-0813,22512,1141,1118.4%
2023-0713,04211,8111,2319.4%
2023-0612,81111,6901,1218.8%
2023-0512,81911,7191,1008.6%
2023-0412,94511,8721,0738.3%
2023-0313,17412,0791,0958.3%
2023-0213,36612,1091,2579.4%
2023-0113,52712,3281,1998.9%
2022-1213,47512,2731,2028.9%
2022-1113,49212,2311,2619.3%
2022-1013,13411,8601,2749.7%
2022-0913,16611,9241,2429.4%
2022-0812,83311,6591,1749.1%
2022-0712,42611,3941,0328.3%
2022-0612,65611,6401,0168.0%
2022-0512,93511,8011,1348.8%
2022-0413,04111,8921,1498.8%
2022-0312,98711,8861,1018.5%
2022-0213,13311,9461,1879.0%
2022-0113,10811,8901,2189.3%
2021-1213,18811,9481,2409.4%
2021-1113,08711,7791,30810.0%
2021-1012,78011,5411,2399.7%
2021-0912,96011,5451,41510.9%
2021-0812,77911,2011,57812.3%
2021-0712,41410,8481,56612.6%
2021-0612,38510,9371,44811.7%
2021-0512,49311,0211,47211.8%
2021-0412,39011,0851,30510.5%
2021-0312,16710,8971,27010.4%
2021-0211,82010,5691,25110.6%
2021-0111,81410,4581,35611.5%
2020-1211,63710,1441,49312.8%
2020-1111,60910,3461,26310.9%
2020-1011,70510,6141,0919.3%
2020-0911,95410,7331,22110.2%
2020-0811,84310,7591,0849.2%
2020-0711,53710,6099288.0%
2020-0611,74410,6481,0969.3%
2020-0511,29010,0801,21010.7%
2020-0211,2939,7951,49813.3%
2020-0111,3269,6751,65114.6%
2019-1211,6149,9841,63014.0%
2019-1111,51310,0801,43312.4%
2019-1011,54710,1271,42012.3%
2019-0911,41310,1491,26411.1%
2019-0811,51210,4551,0579.2%
2019-0711,78610,5331,25310.6%
2019-0611,83510,4471,38811.7%
2019-0511,77310,3411,43212.2%
2019-0411,58310,1721,41112.2%
2019-0311,6579,9101,74715.0%
2019-0211,6749,9821,69214.5%
2019-0111,51610,0511,46512.7%
2018-1211,72110,1501,57113.4%
2018-1111,40510,0591,34611.8%
2018-1011,2279,9661,26111.2%
2018-0911,32710,0221,30511.5%
2018-0811,3269,9831,34311.9%
2018-0711,99210,5651,42711.9%
2018-0611,67710,1981,47912.7%
2018-0511,60210,0341,56813.5%
2018-0411,5789,9181,66014.3%
2018-0311,4629,7311,73115.1%
2018-0211,4159,6631,75215.3%
2018-0111,7039,8361,86716.0%
2017-1211,5689,8891,67914.5%

ALSO CHECKED

22 more data areas were checked for San Sebastián Municipio 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

  • NONE HERE
    Building permits

    the Census permits survey publishes no county series for this FIPS

    Census Building Permits Survey county series (census_building_permits, geo_id at geo_level 'county')

  • NONE HERE
    Valuations & Market

    neither Zillow nor Redfin holds published market data for this county FIPS

    Zillow and Redfin county-month metrics (zillow_county_month, redfin_county_month, geoid)

  • NONE HERE
    Migration & Wealth

    no IRS migration data is available for this county FIPS

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

  • NONE HERE
    NFIP Flood Claims

    no FEMA NFIP claims are recorded for this county FIPS

    FEMA NFIP redacted claims (nfip_claim, county_code)

Several of the areas above are published only at state grain. They are all on the PR state hub, which carries the same registry at the grain those sources actually have.

Go deeper

EVERY HMDA RECORD IN SAN SEBASTIÁN MUNICIPIOOpens the loan explorer already filtered to county FIPS 72131.

See the Puerto Rico state market profile for the statewide picture, the Puerto Rico 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.