ZIP code profile · 2024 county data

ZIP Code 49650

Benzie County, Michigan: Census demographics for this ZIP plus the containing county's FBI UCR crime rate.

Data updated 2026-08-24

284
Property rate /100K (county)
3,459
Population (ZIP)
250
Violent rate /100K (county)

Is ZIP code 49650 safe? Honest data snapshot

ZIP code 49650 sits within Benzie County, MI, a county whose reported crime runs below the national average (see the county-level FBI figures below, not a ZIP-specific calculation).

Benzie County's reported crime sits somewhat below the national average: 250 violent and 284 property incidents per 100,000 residents in 2024.

ZIP 49650 carries a Census-reported population of 3,459, ranking #2 of 8 ZIPs in Benzie County, spread across 24.03 square miles (about 144 people per square mile). For a full breakdown of Benzie County's crime categories and year-over-year trend, see the Benzie County crime page linked below.

ZIP 49650 has no FBI-native crime rate (postal codes are not police jurisdictions). The property-led county proxy above is from Benzie County agency submissions; see methodology for the ZCTA plurality map. Methodology.

ZIP 49650 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
$89,384
Median age
39.6 years
Owner-occupied homes
93%
Occupied homes
1,276

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 49650?

Within the participating-agency records for Benzie County, reported violent and property crime rates both sit below their U.S. benchmarks: violent crime is 29% below and property crime is 83% 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 49650. 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.

49650 is comparatively spread out at about 144 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.

Benzie County UCR book ZIP 49650 inherits

ZIP 49650 itself is about 144 people per Census sq mi across 24 sq mi (3,459 residents), a postal settlement fact independent of the county UCR proxy.

ZIP 49650's 3,459 residents are about 19.2% of the 2024 county reporting population (17,970), a large postal share of a county-wide rate.

Benzie County leans on larceny-theft at 47% of reported offenses (mix index 3,485). ZIP 49650 has no separate FBI offense book.

Benzie County 2024 vs 2023: violent counts +45% vs 2023; property counts -20% vs 2023. Year-over-year moves are county agency submissions, still not ZIP-native.

Benzie 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 49650

Similar county violent rate (~250/100K)

Similar Census population (~3,459)

County detail: Benzie County · State atlas: Michigan

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.