Mountain Meadows, CA population, income and ZIP codes

Mountain Meadows CDP is a very small community in California, with 113 residents counted in the Census American Community Survey 2019-2023 ACS 5-year estimates, which places it #1446 of 1,618 ranked by population — larger than 10% of them. The median age here is 49.5 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 Mountain Meadows CDP earn a median of $250,001 a year, 218.3% above the national figure of $78,538 and 174% above the $91,111 median for the 1,050 California 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 Mountain Meadows CDP is valued at $460,000, 51.6% above the national figure and 22% below the $589,600 peer median, while median gross rent runs not published a month. The home-price-to-income ratio works out to 1.8×, against roughly 3.9× nationally, so purchase prices are unusually low against local pay, the pattern in places where supply is plentiful and wage growth has been flat. 100% of occupied homes are owner-occupied versus 65% nationally, an owner-dominated market where rental listings are scarce and rent medians rest on a thin sample. Gross rent folds in the utilities a tenant pays separately, so it is closer to the real monthly outlay than a headline rent figure.

With 113 residents, a handful of survey responses moves every median on this page. Compare Mountain Meadows CDP against its county rather than against national figures.

The Census withheld gross rent for Mountain Meadows 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.