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Tipp City is a city in southern Miami County, Ohio, United States, just 15 miles north of Dayton. The population was 10,274 at the 2020 census . Originally known as Tippecanoe, and then Tippecanoe City, it was renamed to Tipp City in 1938 because another town in Ohio was likewise named Tippecanoe.
Newport is a census-designated place in eastern Newport Township, Washington County, Ohio, United States. [1] It has a post office with the ZIP code 45768. [3] Newport lies along the Ohio River several miles above the county seat of Marietta. Today its main street is designated as State Route 7. [4] The population of the CPD was 895 at the 2020 ...
West Columbus is defined as the entire southwest side of Columbus, bordered on the north by interstates 70 and 670, within Interstate 71 on the east, and on the south and west by the city limits that reach several miles to the outside of the I-270 outerbelt. It covers the ZIP Codes 43223, 43204, 43228, and 43222.
Huber Heights is a city in Montgomery and Miami Counties in the U.S. state of Ohio. It is a suburb of Dayton . The population was 43,439 at the 2020 census . [ 4 ]
There were 545 households, of which 28.8% had children under the age of 18 living with them, 41.8% were married couples living together, 15.6% had a female householder with no husband present, 4.6% had a male householder with no wife present, and 38.0% were non-families. 33.8% of all households were made up of individuals, and 15.9% had someone ...
Watertown is an unincorporated community in southwestern Watertown Township, Washington County, Ohio, United States. [2] It has a post office with the ZIP code 45787. [ 3 ] It lies near the intersection of State Routes 339 and 676 near Wolf Creek , which meets the Muskingum River at Waterford to the north.
You can also do a reverse cell phone lookup on your mobile device or desktop, which makes it convenient whether you’re at home or on the go. 6. FindPeopleEasy
In the village, the population was spread out, with 27.4% under the age of 18, 8.7% from 18 to 24, 29.5% from 25 to 44, 19.7% from 45 to 64, and 14.7% who were 65 years of age or older. The median age was 34 years. For every 100 females there were 94.1 males. For every 100 females age 18 and over, there were 89.4 males.
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