McKenney is a tiny town located in the state of Virginia. With a population of 489 people and just one neighborhood, McKenney is the 309th largest community in Virginia.
Unlike some towns where white-collar or blue-collar occupations dominate the local economy, McKenney is neither predominantly one nor the other. Instead, it has a mixed workforce of both white- and blue-collar jobs. Overall, McKenney is a town of service providers, sales and office workers, and professionals. There are especially a lot of people living in McKenney who work in maintenance occupations (16.13%), office and administrative support (12.26%), and sales jobs (10.32%).
Also of interest is that McKenney has more people living here who work in computers and math than 95% of the places in the US.
It is a fairly quiet town because there are relatively few of those groups of people who have a tendency to be noisy. (Children, for example, often can't help themselves from being noisy, and being parents ourselves, we know!) McKenney has relatively few families with children living at home, and is quieter because of it. Renters and college students, for their own reasons, can also be noisy. McKenney has few renters and college students. But the biggest reason it is quieter in McKenney than in most places in America, is that there are just simply fewer people living here. If you think trees make good neighbors, McKenney may be for you.
One downside of living in McKenney is that it can take a long time to commute to work. In McKenney, the average commute to work is 32.22 minutes, which is quite a bit higher than the national average.
McKenney is a small town, and as such doesn't have a public transit system that people use to get to and from their jobs every day.
The citizens of McKenney are slightly less educated than the national average of 21.84% for the average city or town: 13.04% of adults in McKenney have a bachelor's degree or advanced degree
The per capita income in McKenney in 2018 was $19,831, which is low income relative to Virginia and the nation. This equates to an annual income of $79,324 for a family of four. However, McKenney contains both very wealthy and poor people as well.
McKenney is a very ethnically-diverse town. The people who call McKenney home describe themselves as belonging to a variety of racial and ethnic groups. The greatest number of McKenney residents report their race to be White, followed by Black or African-American. Important ancestries of people in McKenney include German, Irish, English, Scottish, and Scots-Irish.
The most common language spoken in McKenney is English. Other important languages spoken here include Spanish 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: 2019 (latest available). Updated annually. Please note: Unemployment data updated February 2021.
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 2019 calendar year; released from FBI in Sept. 2020 (latest available). Updated annually. Where is 2020 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 VA* | Quality Rating Compared to Nation* |
---|---|---|---|
Dinwiddie Elem School
13811 Boydton Plank Rd Dinwiddie, VA 23841 |
KG-05 | ||
Dinwiddie High School
11501 Boisseau Road Dinwiddie, VA 23841 |
09-12 | ||
Dinwiddie Middle School
11608 Courthouse Road Dinwiddie, VA 23841 |
06-08 | ||
Midway Elem School
5511 Midway Rd Church Road, VA 23833 |
KG-05 | ||
Sunnyside Elem School
10203 Melvin B. Alsbrooks Aven Mckenney, VA 23872 |
KG-05 | ||
* 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 | 54.0% | 44.2% |
FREE LUNCH ELIGIBLE | 47.0% | 39.2% |
REDUCED LUNCH ELIGIBLE | 7.0% | 5.0% |
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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