Matlacha Isles-Matlacha Shores, FL population, income and ZIP codes

Matlacha Isles-Matlacha Shores CDP is a very small community in Florida, with 87 residents counted in the Census American Community Survey 2019-2023 ACS 5-year estimates, which places it #937 of 955 ranked by population — larger than 1% of them. The median age here is 78 years against 39.1 nationally, a markedly older profile that usually tracks retirees staying put and younger households leaving for work. At this population the ACS sample is small, so the margin of error around every dollar figure below is wide — treat the numbers as a band, not a point, and expect them to move between annual releases without the place itself changing.

Households in Matlacha Isles-Matlacha Shores CDP earn a median of $108,125 a year, 37.7% above the national figure of $78,538 and 58% above the $68,617 median for the 775 Florida cities we cover. The median is the midpoint household, not an average, so a handful of very high earners cannot drag it upward the way they distort a mean. Poverty reaches 0% of residents here, less than half the 12.4% national rate.

The typical owner-occupied home in Matlacha Isles-Matlacha Shores CDP is valued at not published, while median gross rent runs not published a month. 56% of occupied homes are owner-occupied versus 65% nationally, so the market leans more heavily on renters. Rent is reported gross — contract rent plus tenant-paid utilities — which is why it runs above the advertised price on a listing for the same unit.

A median age of 78 puts Matlacha Isles-Matlacha Shores CDP well into retirement-weighted territory, which pulls median household income down even where household wealth is high, because retirement draws are counted differently from wages. With 87 residents, a handful of survey responses moves every median on this page. Compare Matlacha Isles-Matlacha Shores CDP against its county rather than against national figures.

The Census withheld home value, gross rent for Matlacha Isles-Matlacha Shores CDP because the sample was too thin to publish at this geography. Those values were suppressed at the source, not lost in our dataset, and we do not model a replacement. Everything else on this page comes straight from the ACS 2019-2023 ACS 5-year tables.