Laura is a tiny village located in the state of Ohio. With a population of 398 people and just one neighborhood, Laura is the 710th largest community in Ohio. Much of the housing stock in Laura was built prior to World War II, making it one of the older and more historic villages in the country.
When you are in Laura, you'll notice that it is more blue-collar than most other communities in America. 42.75% of Laura’s employed work in blue-collar jobs, while America averages only 27.7% that do. Overall, Laura is a village of sales and office workers, production and manufacturing workers, and construction workers and builders. There are especially a lot of people living in Laura who work in office and administrative support (20.78%), management occupations (9.02%), and sales jobs (7.06%).
One downside of living in Laura is that it can take a long time to commute to work. In Laura, the average commute to work is 33.95 minutes, which is quite a bit higher than the national average.
Being a small village, Laura does not have a public transit system used by locals to get to and from work.
Laura ranks among the bottom of the nation in terms of college education compared to other cities and towns: only 4.99% of people over 25 have a college degree.
The per capita income in Laura in 2018 was $25,367, which is middle income relative to Ohio, and lower middle income relative to the rest of the US. This equates to an annual income of $101,468 for a family of four. However, Laura contains both very wealthy and poor people as well.
The people who call Laura home describe themselves as belonging to a variety of racial and ethnic groups. The greatest number of Laura residents report their race to be White, followed by Black or African-American. Important ancestries of people in Laura include German, Irish, French, English, and Scottish.
The most common language spoken in Laura is English. Other important languages spoken here include Italian and Polish.
Analytics built by: Location, Inc.
Raw data sources: National Agriculture Statistics Service, U.S. Department of Agriculture, Federal Housing Finance Agency, U.S. Department of Housing and Urban Development, U.S. Bureau of the Census, U.S. Geological Service, American Community Survey.
Methodology: NeighborhoodScout uses over 600 characteristics to build a neighborhood profile… Read more
Analytics built by: Location, Inc.
Raw data sources: American Community Survey, U.S. Bureau of the Census, U.S. Department of Education, 50 state departments of education, U.S. Bureau of Labor Statistics, Federal Bureau of Investigation, 18,000+ local law enforcement agencies, Federal Housing Finance Agency, U.S. Geological Service, National Agricultural Statistics Service.
Date(s) & Update Frequency: 2020 (latest available). Updated annually. Please note: Unemployment data updated February 2022.
Methodology: Unlike standardly available Census demographics, NeighborhoodScout uses dozens of custom models to transform 8.5 million raw demographic data elements from government sources into proprietary indices and insights…. Read more about Scout's Demographic Data
Analytics built by: Location, Inc.
Raw data sources: 18,000 local law enforcement agencies in the U.S.
Date(s) & Update Frequency: Reflects 2020 calendar year; released from FBI in Sept. 2021 (latest available). Updated annually. Where is 2021 data?
Methodology: Our nationwide meta-analysis overcomes the issues inherent in any crime database, including non-reporting and reporting errors. This is possible by associating the 9.4 million reported crimes in the U.S, including over 2 million geocoded point locations…. Read more about Scout's Crime Data
Analytics built by: Location, Inc.
Methodology: Only NeighborhoodScout gives you nationally comparable school ranks based on test scores, so you can directly compare the quality of schools in any location. Read more about Scout's School Data
There are no schools physically located in this neighborhood.
Ethnic/racial Groups | This District | This State |
---|---|---|
White (non-hispanic) | ||
Black | ||
Hispanic | ||
Asian Or Pacific Islander | ||
American Indian Or Native Of Alaska |
Economic Groups | This District | This State |
---|---|---|
ECONOMICALLY DISADVANTAGED | UNREPORTED | 24.4% |
FREE LUNCH ELIGIBLE | UNREPORTED | 20.2% |
REDUCED LUNCH ELIGIBLE | UNREPORTED | 4.2% |
Ethnic/racial Groups | This District | This State |
---|---|---|
White (non-hispanic) | ||
Black | ||
Hispanic | ||
Asian Or Pacific Islander | ||
American Indian Or Native Of Alaska |
Economic Groups | This District | This State |
---|---|---|
ECONOMICALLY DISADVANTAGED | UNREPORTED | 24.4% |
FREE LUNCH ELIGIBLE | UNREPORTED | 20.2% |
REDUCED LUNCH ELIGIBLE | UNREPORTED | 4.2% |
Ethnic/racial Groups | This District | This State |
---|---|---|
White (non-hispanic) | ||
Black | ||
Hispanic | ||
Asian Or Pacific Islander | ||
American Indian Or Native Of Alaska |
Economic Groups | This District | This State |
---|---|---|
ECONOMICALLY DISADVANTAGED | UNREPORTED | 24.4% |
FREE LUNCH ELIGIBLE | UNREPORTED | 20.2% |
REDUCED LUNCH ELIGIBLE | UNREPORTED | 4.2% |
Ethnic/racial Groups | This District | This State |
---|---|---|
White (non-hispanic) | ||
Black | ||
Hispanic | ||
Asian Or Pacific Islander | ||
American Indian Or Native Of Alaska |
Economic Groups | This District | This State |
---|---|---|
ECONOMICALLY DISADVANTAGED | UNREPORTED | 24.4% |
FREE LUNCH ELIGIBLE | UNREPORTED | 20.2% |
REDUCED LUNCH ELIGIBLE | UNREPORTED | 4.2% |
Analytics built by: Location, Inc.
Raw data sources: U.S. Department of Education, 50 state departments of education, U.S. Bureau of Labor Statistics, Dow Jones S&P, Federal Bureau of Investigation, 18,000+ local law enforcement agencies, Federal Housing Finance Agency, U.S. Bureau of the Census, American Community Survey, U.S. Department of Housing and Urban Development, U.S. Geological Service, U.S. Department of Transportation, LEHD Origin-Destination Employment Statistics, Federal Highway Administration, National Agricultural Statistics.
Methodology: Scout Vision uniquely solves for investment risk by generating Home Price Appreciation projections with unprecedented geographic granularity and predictive accuracy, for every micro-neighborhood (block group) in the U.S. Read more
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