Wakefield is a tiny city located in the state of Kansas. With a population of 846 people and just one neighborhood, Wakefield is the 236th largest community in Kansas.
Wakefield is a military town: the armed forces employs 9.05% of the workforce, making the military a major focus of life in the city. In the civilian sector, Public Service and Education are important in the local economy and are the city’s largest civilian employers, employing 22.04% and 14.93% of the civilian workforce respectively.
Telecommuters are a relatively large percentage of the workforce: 7.97% of people work from home. While this number may seem small overall, as a fraction of the total workforce it is high relative to the nation. These workers are often telecommuters who work in knowledge-based, white-collar professions. For example, Silicon Valley has large numbers of people who telecommute. Other at-home workers may be self-employed people who operate small businesses out of their homes.
Wakefield is a small city, and as such doesn't have a public transit system that people use to get to and from their jobs every day.
The education level of Wakefield citizens is a little higher than the average for US cities and towns: 21.60% of adults in Wakefield have at least a bachelor's degree.
The per capita income in Wakefield in 2018 was $32,261, which is wealthy relative to Kansas, and upper middle income relative to the rest of the US. This equates to an annual income of $129,044 for a family of four. However, Wakefield contains both very wealthy and poor people as well.
Wakefield is a somewhat ethnically-diverse city. The people who call Wakefield home describe themselves as belonging to a variety of racial and ethnic groups. The greatest number of Wakefield residents report their race to be White, followed by Native American. Important ancestries of people in Wakefield include German, Irish, English, French, and Scottish.
The most common language spoken in Wakefield is English. Other important languages spoken here include Polish and Italian.
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* |
---|---|---|---|
Garfield Elem School
815 4th St Clay Center, KS 67432 |
04-05 | ||
Lincoln Elem School
1020 Grant Clay Center, KS 67432 |
PK-03 | ||
Clay Center Community Middle School
935 Prospect Street Clay Center, KS 67432 |
06-08 | ||
Clay Center Community High School
1630 Ninth St Clay Center, KS 67432 |
09-12 | ||
Wakefield Elem School
502 Third Wakefield, KS 67487 |
KG-08 | ||
Wakefield High School
502 Third Wakefield, KS 67487 |
09-12 | ||
Clifton-Clyde Grade School K-3
120 N Cloud Clifton, KS 66937 |
PK-03 | ||
Clifton-Clyde Sr High School
616 North High St.; Suite 1 Clyde, KS 66938 |
09-12 | ||
Clifton-Clyde Middle School
405 W Parallel Clifton, KS 66937 |
04-08 | ||
* 10 is highest |
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 | 40.2% | 44.8% |
FREE LUNCH ELIGIBLE | 30.2% | 35.8% |
REDUCED LUNCH ELIGIBLE | 10.0% | 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 | 37.1% | 44.8% |
FREE LUNCH ELIGIBLE | 22.2% | 35.8% |
REDUCED LUNCH ELIGIBLE | 14.9% | 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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