ZIP code profile · 2024 county data

ZIP Code 87375

McKinley County, New Mexico: Census demographics for this ZIP plus the containing county's FBI UCR crime rate.

Data updated 2026-08-24

213
Property rate /100K (county)
4,484
Population (ZIP)
115
Violent rate /100K (county)

Is ZIP code 87375 safe? Honest data snapshot

ZIP code 87375 sits within McKinley County, NM, a county whose reported crime runs below the national average (see the county-level FBI figures below, not a ZIP-specific calculation).

Reported crime here runs well below the national average: 115 violent incidents and 213 property incidents per 100,000 residents in 2024, per county-level agency submissions.

ZIP 87375 carries a Census-reported population of 4,484, ranking #5 of 20 ZIPs in McKinley County, spread across 167.64 square miles (about 27 people per square mile). For a full breakdown of McKinley County's crime categories and year-over-year trend, see the McKinley County crime page linked below.

ZIP 87375 has no FBI-native crime rate (postal codes are not police jurisdictions). The property-led county proxy above is from McKinley County agency submissions; see methodology for the ZCTA plurality map. Methodology.

ZIP 87375 Census context

These are ZIP/ZCTA demographic estimates, separate from the county-level FBI proxy above. They describe the local settlement, not a crime rate.

Median household income
$35,875
Median age
35.9 years
Owner-occupied homes
92%
Occupied homes
1,166

Source: U.S. Census Bureau, ACS 2022 5-year ZCTA estimates (income, age, and occupied housing tenure).

How useful is the county proxy for ZIP 87375?

Within the participating-agency records for McKinley County, reported violent and property crime rates both sit below their U.S. benchmarks: violent crime is 67% below and property crime is 88% below. The two submitted measures point in the same direction, but they do not establish complete county coverage or turn the result into a ZIP-level rating for 87375. Both comparisons use the same 2024 county reporting population and FBI-submitted counts, so the two directions are internally comparable for this release, not evidence about a different year.

87375 is comparatively spread out at about 27 people per square mile. That settlement pattern may differ sharply from the county's population centers, another reason to use the county rates as regional context rather than a local estimate.

McKinley County UCR book ZIP 87375 inherits

ZIP 87375 itself is about 27 people per Census sq mi across 167.6 sq mi (4,484 residents), a postal settlement fact independent of the county UCR proxy.

ZIP 87375 accounts for roughly 6.2% of the county reporting population (4,484 of 72,902).

McKinley County leans on larceny-theft at 37% of reported offenses (mix index 2,662). ZIP 87375 has no separate FBI offense book.

McKinley County 2024 vs 2023: violent counts +29% vs 2023; property counts -3% vs 2023. Year-over-year moves are county agency submissions, still not ZIP-native.

McKinley County offense mix (2024)

Mix index is HHI × 10,000 on county offense-type shares. Distinct from the per-100K rates in the hero; still county-agency data, not a ZIP-native FBI table.

Nationwide peers for ZIP 87375

Similar county violent rate (~115/100K)

Similar Census population (~4,484)

County detail: McKinley County · State atlas: New Mexico

Sources: U.S. Census Bureau (ZIP population, land area, 2020 ZCTA-to-county relationship file, ACS 5-year estimates) and FBI Uniform Crime Reporting (UCR) Program, Crime in the United States (CIUS) Table 10 (county-level crime, attributed via ZIP-to-county crosswalk).

Verify with Census.gov Geography and FBI.gov UCR.

Read our methodology , how this data is sourced, computed, and verified.

Every figure on PlainCrime is rendered directly from FBI Uniform Crime Reporting (UCR) source data, no number is typed in by an editor. This page combines Census ZIP-level figures with a ZIP-to-county crosswalk to attribute FBI UCR crime data honestly, no figure is typed in by an editor. See our editorial standards & corrections policy, the methodology behind these numbers, or report a data error.