California, Maryland

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California is a census-designated place and community in St. Mary's County, Maryland, United States. The population was 9,307 at the 2000 census. California continues to grow with the spread of population out from the older adjacent community of Lexington Park and the growth in both technology-related and defense-related jobs at the Patuxent River Naval Air Station. There are department stores and numerous shopping centers situated along Maryland Highway 235 ("Three Notch Road"). Maryland Route 4 crosses Highway 235 in California, providing access to the wide Governor Thomas Johnson Bridge and the popular weekend resort town of Solomons, Maryland on the opposite side. Bridge-bound traffic is infamous for backing up during rush hour.


California is located at 38°18′20″N 76°29′40″W / 38.305506°N 76.494517°W / 38.305506; -76.494517.[1]

According to the United States Census Bureau, California has a total area of 14.8 square miles (38.3 km²), of which, 12.9 square miles (33.5 km²) of it is land and 1.9 square miles (4.8 km²) of it (12.64%) is water.


As of the census[3] of 2000, there were 9,307 people, 3,423 households, and 2,450 families residing in California. The population density was 720.3 people per square mile (278.1/km²). There were 3,735 housing units at an average density of 289.1/sq mi (111.6/km²). The racial makeup of the CDP was 78.68% White, 14.72% African American, 0.40% Native American, 3.62% Asian, 0.03% Pacific Islander, 0.70% from other races, and 1.85% from two or more races. Hispanic or Latino of any race were 2.74% of the population.

There were 3,423 households out of which 39.6% had children under the age of 18 living with them, 56.5% were married couples living together, 10.6% had a female householder with no husband present, and 28.4% were non-families. 22.2% of all households were made up of individuals and 4.4% had someone living alone who was 65 years of age or older. The average household size was 2.71 and the average family size was 3.19.

In the CDP the population was spread out with 29.4% under the age of 18, 7.1% from 18 to 24, 34.8% from 25 to 44, 21.4% from 45 to 64, and 7.3% who were 65 years of age or older. The median age was 34 years. For every 100 females there were 100.8 males. For every 100 females age 18 and over, there were 99.2 males.

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