Peck is a tiny town located in the state of Kansas. With a population of 162 people and just one neighborhood, Peck is the 287th largest community in Kansas. Much of the housing stock in Peck was built prior to World War II, making it one of the older and more historic towns in the country.
Peck is neither predominantly blue-collar nor white-collar, instead having a mixed workforce of both blue-collar and white-collar jobs. Overall, Peck is a town of managers, sales and office workers, and construction workers and builders. There are especially a lot of people living in Peck who work in business and financial occupations (36.54%), office and administrative support (16.35%), and sales jobs (16.35%).
Peck is a very car-oriented town. 100.00% of residents commute to work in a private automobile rather than by other means, such as public transit, bicycling, or walking. This is because Peck is a small town , and most people who live here have to drive out of town for work, and the town population is not large nor dense enough to support an extensive public transportation system. Peck has a lot of rural roads, and houses can be far apart. Many residents drive out of town for regular shopping trips as well.
Being a small town, Peck does not have a public transit system used by locals to get to and from work.
The citizens of Peck are slightly better educated than the national average of 21.84% for all cities and towns, with 23.88% of adults in Peck having a bachelor's degree or advanced degree.
The per capita income in Peck in 2018 was $44,603, which is wealthy relative to Kansas and the nation. This equates to an annual income of $178,412 for a family of four.
The people who call Peck home describe themselves as belonging to a variety of racial and ethnic groups. The greatest number of Peck residents report their race to be White. Important ancestries of people in Peck include German, Iranian, Yugoslavian, Other West Indian, and West Indian.
The most common language spoken in Peck is English. Other important languages spoken here include Polish and Other Asian languages.
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 November 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 2021 calendar year; released from FBI in Oct. 2022 (latest available). Updated annually. Where is 2022 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
School Details | Grades | Quality Rating Compared to KS* | Quality Rating Compared to Nation* |
---|---|---|---|
Freeman Elem School
1731 West Grand Haysville, KS 67060 |
PK-05 | ||
* 10 is highest |
GET FULL REPORTS FOR ANY SCHOOL IN THIS DISTRICT
SEE ALL SCHOOLSEthnic/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 | 43.6% | 44.8% |
FREE LUNCH ELIGIBLE | 32.2% | 35.8% |
REDUCED LUNCH ELIGIBLE | 11.4% | 9.0% |
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 | 53.0% | 44.8% |
FREE LUNCH ELIGIBLE | 42.2% | 35.8% |
REDUCED LUNCH ELIGIBLE | 10.8% | 9.0% |
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 | 40.0% | 44.8% |
FREE LUNCH ELIGIBLE | 28.0% | 35.8% |
REDUCED LUNCH ELIGIBLE | 12.0% | 9.0% |
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 | 28.8% | 44.8% |
FREE LUNCH ELIGIBLE | 20.5% | 35.8% |
REDUCED LUNCH ELIGIBLE | 8.3% | 9.0% |
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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