Wasco - Moro is a very small town located in the state of Oregon. With a population of 1,907 people and just one neighborhood, Wasco - Moro is the 157th largest community in Oregon. Wasco - Moro has a large stock of pre-World War II architecture, making it one of the older and more historic towns in the country.
When you are in Wasco - Moro, you'll notice that it is more blue-collar than most other communities in America. 36.90% of Wasco - Moro’s employed work in blue-collar jobs, while America averages only 27.7% that do. Overall, Wasco - Moro is a town of managers, transportation and shipping workers, and service providers. There are especially a lot of people living in Wasco - Moro who work in management occupations (19.02%), office and administrative support (7.30%), and sales jobs (5.92%).
Telecommuters are a relatively large percentage of the workforce: 11.42% 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.
The town is relatively quiet, having a combination of lower population density and few of those groups of people who have a tendency to be noisy. For example, Wasco - Moro has relatively fewer families with younger children, and/or college students. Combined, this makes Wasco - Moro a pretty quiet place to live overall. If you like quiet, you will probably enjoy it here.
Being a small town, Wasco - Moro does not have a public transit system used by locals to get to and from work.
The education level of Wasco - Moro citizens, measured as those with bachelor's degrees or advanced degrees, is similar to the national average for all American cities and towns. 20.00% of adults 25 and older in Wasco - Moro have a college degree.
The per capita income in Wasco - Moro in 2018 was $34,548, which is upper middle income relative to Oregon and the nation. This equates to an annual income of $138,192 for a family of four. However, Wasco - Moro contains both very wealthy and poor people as well.
The people who call Wasco - Moro home describe themselves as belonging to a variety of racial and ethnic groups. The greatest number of Wasco - Moro residents report their race to be White, followed by Native Hawaiian. Important ancestries of people in Wasco - Moro include German, English, Irish, Swedish, and European.
The most common language spoken in Wasco - Moro is English. Other important languages spoken here include Italian and Spanish.
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 OR* | Quality Rating Compared to Nation* |
---|---|---|---|
Sherman County School
65912 High School Lp Moro, OR 97039 |
KG-12 | ||
* 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 | 36.5% | 5.0% |
FREE LUNCH ELIGIBLE | 30.0% | 4.6% |
REDUCED LUNCH ELIGIBLE | 6.5% | 0.4% |
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.