Jupiter Inlet Colony, Florida
| Jupiter Inlet Colony, Florida | |
|---|---|
| Town | |
 Location of Jupiter Inlet Colony in Palm Beach County, Florida |
|
| Coordinates: 26°56′51″N 80°4′29″W / 26.94750°N 80.07472°WCoordinates: 26°56′51″N 80°4′29″W / 26.94750°N 80.07472°W | |
| Country |
 United States
|
| State |
 Florida
|
| County | Palm Beach |
| Area | |
| • Total | 0.2 sq mi (0.6 km2) |
| • Land | 0.2 sq mi (0.5 km2) |
| • Water | 0.1 sq mi (0.1 km2) |
| Elevation | 7 ft (2 m) |
| Population (2010) | |
| • Total | 400 |
| • Density | 2,090.1/sq mi (807.0/km2) |
| Time zone | Eastern (EST) (UTC-5) |
| • Summer (DST) | EDT (UTC-4) |
| ZIP code | 33469 |
| Area code(s) | 561 |
| FIPS code | 12-35900 |
| GNIS feature ID | 0285002 |
Jupiter Inlet Colony is a town in Palm Beach County, Florida, United States. The population was 400 at the 2010 census.
Jupiter Inlet Colony is located at 26°56′51″N 80°4′29″W / 26.94750°N 80.07472°W (26.947393, -80.074616), in the southernmost tip of Jupiter Island.
According to the United States Census Bureau, the town has a total area of 0.2 square miles (0.52 km2), of which 0.2 square miles (0.52 km2) is land and 0.1 square miles (0.26 km2) (21.74%) is water.
As of the census of 2000, there were 368 people, 180 households, and 124 families residing in the town. The population density was 2,090.1 inhabitants per square mile (789.4/km²). There were 229 housing units at an average density of 1,300.6 per square mile (491.2/km²). The racial makeup of the town was 99.73% White, and 0.27% from other races.
There were 180 households out of which 12.2% had children under the age of 18 living with them, 64.4% were married couples living together, 3.3% had a female householder with no husband present, and 31.1% were non-families. 23.9% of all households were made up of individuals and 15.0% had someone living alone who was 65 years of age or older. The average household size was 2.04 and the average family size was 2.38.
In the town, the population was spread out with 10.6% under the age of 18, 1.1% from 18 to 24, 12.2% from 25 to 44, 36.1% from 45 to 64, and 39.9% who were 65 years of age or older. The median age was 60 years. For every 100 females there were 98.9 males. For every 100 females age 18 and over, there were 92.4 males.
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