Dayton is a very small city located in the state of Washington. With a population of 2,493 people and just one neighborhood, Dayton is the 199th largest community in Washington. Dayton has a large stock of pre-World War II architecture, making it one of the older and more historic cities in the country.
Dayton is neither predominantly blue-collar nor white-collar, instead having a mixed workforce of both blue-collar and white-collar jobs. Overall, Dayton is a city of sales and office workers, professionals, and transportation and shipping workers. There are especially a lot of people living in Dayton who work in sales jobs (16.42%), office and administrative support (11.54%), and teaching (7.80%).
The citizens of Dayton are slightly better educated than the national average of 21.84% for all cities and towns, with 21.10% of adults in Dayton having a bachelor's degree or advanced degree.
The per capita income in Dayton in 2018 was $38,832, which is upper middle income relative to Washington, and wealthy relative to the rest of the US. This equates to an annual income of $155,328 for a family of four. However, Dayton contains both very wealthy and poor people as well.
Dayton is a somewhat ethnically-diverse city. The people who call Dayton home describe themselves as belonging to a variety of racial and ethnic groups. The greatest number of Dayton residents report their race to be White, followed by Asian. Dayton also has a sizeable Hispanic population (people of Hispanic origin can be of any race). People of Hispanic or Latino origin account for 12.44% of the city’s residents. Important ancestries of people in Dayton include German, English, Irish, French, and Polish.
The most common language spoken in Dayton is English. Other important languages spoken here include Spanish and Langs. of India.
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 WA* | Quality Rating Compared to Nation* |
---|---|---|---|
Dayton Elementary School
302 E Park Dayton, WA 99328 |
PK-05 | ||
Dayton High School
614 S Third Street Dayton, WA 99328 |
09-12 | ||
Dayton Middle School
614 S 3rd St Dayton, WA 99328 |
06-08 | ||
Dayton School District Alternative Program
614 S 3rd St Dayton, WA 99328 |
09-12 | ||
Starbuck School
717 Tucannon St Starbuck, WA 99359 |
KG-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 | 52.3% | 42.3% |
FREE LUNCH ELIGIBLE | 44.7% | 35.3% |
REDUCED LUNCH ELIGIBLE | 7.7% | 7.0% |
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 | 45.2% | 42.3% |
FREE LUNCH ELIGIBLE | 39.5% | 35.3% |
REDUCED LUNCH ELIGIBLE | 5.7% | 7.0% |
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 | 58.3% | 42.3% |
FREE LUNCH ELIGIBLE | 52.8% | 35.3% |
REDUCED LUNCH ELIGIBLE | 5.6% | 7.0% |
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
Disclaimer
Forecasts of potential occurrences or non-occurrences of future conditions and events are inherently uncertain. Actual
results may differ materially from what is predicted in any information provided by Location Inc. Nothing contained in or
generated by a Location Inc. product or services is, or should be relied upon as, a promise or representation as to the future
performance or prediction of real estate values. No representation is made as to the accuracy of any forecast, estimate, or
projection. Location Inc. makes no express or implied warranty and all information and content is provided "As is" without
any warranties of any kind. Location Inc. expressly disclaims any warranty of accuracy or predictability, and any warranty of
merchantability and fitness for a particular purpose. Location Inc. further disclaims any liability for damages, loss, or injury
arising out of the use this site and the data. All risks associated with using the site and the data are borne by the user at
user's sole cost and expense. By using the site you agree to our
Terms of Use.