640 Vital Statistics. 20 Condition Alerts found.
W Division St / 33rd Ave N median real estate price is $123,167, which is less expensive than 90.4% of Minnesota neighborhoods and 78.9% of all U.S. neighborhoods.
The average rental price in W Division St / 33rd Ave N is currently $1,230, based on NeighborhoodScout's exclusive analysis. Rents here are currently lower in price than 48.6% of Minnesota neighborhoods.
W Division St / 33rd Ave N is a suburban neighborhood (based on population density) located in St. Cloud, Minnesota.
W Division St / 33rd Ave N real estate is primarily made up of medium sized (three or four bedroom) to small (studio to two bedroom) single-family homes and apartment complexes/high-rise apartments. Most of the residential real estate is occupied by a mixture of owners and renters. Many of the residences in the W Division St / 33rd Ave N neighborhood are older, well-established, built between 1940 and 1969. A number of residences were also built between 1970 and 1999.
Real estate vacancies in W Division St / 33rd Ave N are 5.2%, which is lower than one will find in 73.2% of American neighborhoods. Demand for real estate in W Division St / 33rd Ave N is above average for the U.S., and may signal some demand for either price increases or new construction of residential product for this neighborhood.
The way a neighborhood looks and feels when you walk or drive around it, from its setting, its buildings, and its flavor, can make all the difference. This neighborhood has some really cool things about the way it looks and feels as revealed by NeighborhoodScout's exclusive research. This might include anything from the housing stock to the types of households living here to how people get around.
NeighborhoodScout's exclusive research identifies the W Division St / 33rd Ave N neighborhood as having one of the highest concentrations of people employed in manufacturing or as laborers of any neighborhood in America. In fact, despite the loss of manufacturing jobs nationally, this neighborhood has 40.8% of its working residents employed in such fields, which is a higher proportion than 95.2% of American neighborhoods.
Did you know that the W Division St / 33rd Ave N neighborhood has more Finnish and Sub-Saharan African ancestry people living in it than nearly any neighborhood in America? It's true! In fact, 1.7% of this neighborhood's residents have Finnish ancestry and 16.5% have Sub-Saharan African ancestry.
W Division St / 33rd Ave N is also pretty special linguistically. Significantly, 10.5% of its residents five years old and above primarily speak African languages at home. While this may seem like a small percentage, it is higher than 99.7% of the neighborhoods in America.
There are two complementary measures for understanding the income of a neighborhood's residents: the average and the extremes. While a neighborhood may be relatively wealthy overall, it is equally important to understand the rate of people - particularly children - who are living at or below the federal poverty line, which is extremely low income. Some neighborhoods with a lower average income may actually have a lower childhood poverty rate than another with a higher average income, and this helps us understand the conditions and character of a neighborhood.
The neighbors in the W Division St / 33rd Ave N neighborhood in St. Cloud are lower-middle income, making it a below average income neighborhood. NeighborhoodScout's research shows that this neighborhood has an income lower than 75.7% of U.S. neighborhoods. With 37.4% of the children here below the federal poverty line, this neighborhood has a higher rate of childhood poverty than 83.9% of U.S. neighborhoods.
A neighborhood is far different if it is dominated by enlisted military personnel rather than people who earn their living by farming. It is also different if most of the neighbors are clerical support or managers. What is wonderful is the sheer diversity of neighborhoods, allowing you to find the type that fits your lifestyle and aspirations.
In the W Division St / 33rd Ave N neighborhood, 40.8% of the working population is employed in manufacturing and laborer occupations. The second most important occupational group in this neighborhood is sales and service jobs, from major sales accounts, to working in fast food restaurants, with 23.5% of the residents employed. Other residents here are employed in executive, management, and professional occupations (22.1%), and 12.7% in clerical, assistant, and tech support occupations.
The languages spoken by people in this neighborhood are diverse. These are tabulated as the languages people preferentially speak when they are at home with their families. The most common language spoken in the W Division St / 33rd Ave N neighborhood is English, spoken by 83.5% of households. Other important languages spoken here include African languages and Polish.
Culture is shared learned behavior. We learn it from our parents, their parents, our houses of worship, and much of our culture – our learned behavior – comes from our ancestors. That is why ancestry and ethnicity can be so interesting and important to understand: places with concentrations of people of one or more ancestries often express those shared learned behaviors and this gives each neighborhood its own culture. Even different neighborhoods in the same city can have drastically different cultures.
In the W Division St / 33rd Ave N neighborhood in St. Cloud, MN, residents most commonly identify their ethnicity or ancestry as German (39.8%). There are also a number of people of Sub-Saharan African ancestry (16.5%), and residents who report Norwegian roots (12.1%), and some of the residents are also of Swedish ancestry (6.3%), along with some Irish ancestry residents (6.0%), among others. In addition, 12.2% of the residents of this neighborhood were born in another country.
How you get to work – car, bus, train or other means – and how much of your day it takes to do so is a large quality of life and financial issue. Especially with gasoline prices rising and expected to continue doing so, the length and means of one's commute can be a financial burden. Some neighborhoods are physically located so that many residents have to drive in their own car, others are set up so many walk to work, or can take a train, bus, or bike. The greatest number of commuters in W Division St / 33rd Ave N neighborhood spend under 15 minutes commuting one-way to work (54.1% of working residents), one of the shortest commutes across America.
Here most residents (84.4%) drive alone in a private automobile to get to work. In addition, quite a number also carpool with coworkers, friends, or neighbors to get to work (7.6%) . In a neighborhood like this, as in most of the nation, many residents find owning a car useful for getting to work.
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
44 Vital Statistics. 4 Condition Alerts found.
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: 2018 (latest available). Updated annually. Please note: Unemployment data updated November 2020.
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
136 Vital Statistics. 0 Condition Alerts found.
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
67 Vital Statistics. 6 Condition Alerts found.
Crime | |
---|---|
W Division St / 33rd Ave N | 0.101011101001110 |
St. Cloud | 0.101011101001110 |
Minnesota | 2.36 |
Crime | |
---|---|
W Division St / 33rd Ave N | 0.101011101001110 |
St. Cloud | 0.101011101001110 |
Minnesota | 20.79 |
Crime | |
---|---|
W Division St / 33rd Ave N | 0.101011101001110 |
St. Cloud | 0.101011101001110 |
Minnesota | 21 |
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
65 Vital Statistics. 2 Condition Alerts found.
GET FULL REPORTS FOR ANY SCHOOL IN THIS DISTRICT
SEE ALL SCHOOLSDiscipline | District | State |
---|---|---|
Proficiency in Reading and Math | 0.101011101001110 | 0.101011101001110 |
Proficiency in Reading | 0.101011101001110 | 0.101011101001110 |
Proficiency in Math | 0.101011101001110 | 0.101011101001110 |
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
328 Vital Statistics. 8 Condition Alerts found.
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