Vienna is a tiny coastal town (i.e. on the ocean, a bay, or inlet) located in the state of Maryland. With a population of 270 people and just one neighborhood, Vienna is the 266th largest community in Maryland.
Vienna is a blue-collar town, with 35.10% of people working in blue-collar occupations, while the average in America is just 27.7%. Overall, Vienna is a town of professionals, service providers, and sales and office workers. There are especially a lot of people living in Vienna who work in healthcare (12.50%), office and administrative support (9.13%), and sales jobs (6.73%).
Also of interest is that Vienna has more people living here who work in computers and math than 95% of the places in the US.
Overall, Vienna’s crime rate is one of the lowest in the nation, which makes a great place to live if safety is an important concern.
Residents will find that the town is relatively quiet. This is because it is not over-populated, and it has fewer college students, renters, and young children - all of whom can be noisy at times. So, if you're looking for a relatively peaceful place to live, Vienna is worth considering.
One of the nice things about Vienna is that it is nautical, which means that parts of it are somewhat historic and touch the ocean or tidal bodies of water, such as inlets and bays. Because of this, visitors and locals will often go to these areas to take in the scenery or to enjoy waterfront activities.
As is often the case in a small town, Vienna doesn't have a public transportation system that people use for their commute.
The percentage of adults in Vienna who are college-educated is close to the national average for all communities of 21.84%: 17.48% of the adults in Vienna have a bachelor's degree or advanced degree.
The per capita income in Vienna in 2018 was $29,239, which is lower middle income relative to Maryland, and middle income relative to the rest of the US. This equates to an annual income of $116,956 for a family of four. However, Vienna contains both very wealthy and poor people as well.
Vienna is a very ethnically-diverse town. The people who call Vienna home describe themselves as belonging to a variety of racial and ethnic groups. The greatest number of Vienna residents report their race to be White, followed by Black or African-American. Vienna also has a sizeable Hispanic population (people of Hispanic origin can be of any race). People of Hispanic or Latino origin account for 17.49% of the town’s residents. Important ancestries of people in Vienna include German, Irish, English, Scottish, and Italian.
The most common language spoken in Vienna is English. Other important languages spoken here include Polish 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 February 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 2020 calendar year; released from FBI in Sept. 2021 (latest available). Updated annually. Where is 2021 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 MD* | Quality Rating Compared to Nation* |
---|---|---|---|
Hurlock Elementary School
301 Charles St. Hurlock, MD 21643 |
PK-05 | ||
North Dorchester High School
5875 Cloverdale Road Hurlock, MD 21643 |
09-12 | ||
North Dorchester Middle School
5745 Cloverdale Road Hurlock, MD 21643 |
06-08 | ||
Vienna Elementary School
4905 Ocean Gateway Vienna, MD 21869 |
PK-05 | ||
Warwick Elementary School
155 Main Street Secretary, MD 21664 |
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 | 100.0% | 42.0% |
FREE LUNCH ELIGIBLE | 100.0% | 35.8% |
REDUCED LUNCH ELIGIBLE | 0.0% | 6.2% |
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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