640 Vital Statistics. 29 Condition Alerts found.
Ute Hwy / Alpine St median real estate price is $464,272, which is more expensive than 70.1% of the neighborhoods in Colorado and 82.0% of the neighborhoods in the U.S.
The average rental price in Ute Hwy / Alpine St is currently $2,247, based on NeighborhoodScout's exclusive analysis. The average rental cost in this neighborhood is higher than 79.7% of the neighborhoods in Colorado.
Ute Hwy / Alpine St is a suburban neighborhood (based on population density) located in Longmont, Colorado.
Ute Hwy / Alpine St real estate is primarily made up of medium sized (three or four bedroom) to large (four, five or more bedroom) single-family homes and townhomes. Most of the residential real estate is owner occupied. Many of the residences in the Ute Hwy / Alpine St neighborhood are newer, built in 2000 or more recently. A number of residences were also built between 1970 and 1999.
In Ute Hwy / Alpine St, the current vacancy rate is 0.7%, which is a lower rate of vacancies than 95.7% of all neighborhoods in the U.S. This means that the housing supply in Ute Hwy / Alpine St is very tight compared to the demand for property here.
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.
With a real estate vacancy rate of only 0.7%, the Ute Hwy / Alpine St neighborhood has a lower vacancy rate than 95.7% of U.S. neighborhoods, a very elite group. Such a low vacancy rate may indicate very strong real estate demand in the neighborhood combined with some impediments to increasing supply, such as zoning or existing density of development, among other potential reasons.
In addition, homes built from 2000 through today make up a higher proportion of the Ute Hwy / Alpine St neighborhood's real estate landscape than 95.4% of the neighborhoods in America. When you are driving around this neighborhood, you'll notice right away that it is one of the newest built of any, with the smell of fresh paint, and the look of young landscaping nearly everywhere you look. In fact, 50.6% of the residential real estate here is classified as newer.
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 Ute Hwy / Alpine St neighborhood in Longmont are wealthy, making it among the 15% highest income neighborhoods in America. NeighborhoodScout's exclusive analysis reveals that this neighborhood has a higher income than 87.3% of the neighborhoods in America. With 26.9% of the children here below the federal poverty line, this neighborhood has a higher rate of childhood poverty than 71.9% of U.S. neighborhoods.
What we choose to do for a living reflects who we are. Each neighborhood has a different mix of occupations represented, and together these tell you about the neighborhood and help you understand if this neighborhood may fit your lifestyle.
In the Ute Hwy / Alpine St neighborhood, 49.9% of the working population is employed in executive, management, and professional 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 20.6% of the residents employed. Other residents here are employed in manufacturing and laborer occupations (16.5%), and 13.1% 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 Ute Hwy / Alpine St neighborhood is English, spoken by 79.9% of households. Other important languages spoken here include Spanish and Polish.
Boston's Beacon Hill blue-blood streets, Brooklyn's Orthodox Jewish enclaves, Los Angeles' Persian neighborhoods. Each has its own culture derived primarily from the ancestries and culture of the residents who call these neighborhoods home. Likewise, each neighborhood in America has its own culture – some more unique than others – based on lifestyle, occupations, the types of households – and importantly – on the ethnicities and ancestries of the people who live in the neighborhood. Understanding where people came from, who their grandparents or great-grandparents were, can help you understand how a neighborhood is today.
In the Ute Hwy / Alpine St neighborhood in Longmont, CO, residents most commonly identify their ethnicity or ancestry as German (24.1%). There are also a number of people of Mexican ancestry (18.1%), and residents who report English roots (14.1%), and some of the residents are also of Irish ancestry (10.5%), along with some Italian ancestry residents (4.6%), among others. In addition, 11.3% 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 Ute Hwy / Alpine St neighborhood spend between 15 and 30 minutes commuting one-way to work (31.3% of working residents), which is shorter than the time spent commuting to work for most Americans.
Here most residents (77.8%) 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 (16.4%) . 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. 5 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: 2017 (latest available). Updated annually.
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
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 2017 calendar year; released from FBI in Sept. 2018 (latest available). Updated annually. Where is 2018 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
67 Vital Statistics. 0 Condition Alerts found.
Crime | |
---|---|
Ute Hwy / Alpine St | 0.101011101001110 |
Longmont | 0.101011101001110 |
Colorado | 3.68 |
Crime | |
---|---|
Ute Hwy / Alpine St | 0.101011101001110 |
Longmont | 0.101011101001110 |
Colorado | 27.02 |
Crime | |
---|---|
Ute Hwy / Alpine St | 0.101011101001110 |
Longmont | 0.101011101001110 |
Colorado | 46 |
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
65 Vital Statistics. 5 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. 19 Condition Alerts found.
Time Period | Total Appreciation | Avg. Annual Rate |
Compared To
Metro* |
Compared To
America* |
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3 Year Forecast:
2019 Q3 - 2022 Q3 |
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Latest Quarter:
2019 Q1 - 2019 Q2 |
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Last 12 Months:
2018 Q2 - 2019 Q2 |
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Last 2 Years:
2017 Q2 - 2019 Q2 |
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Last 5 Years:
2014 Q2 - 2019 Q2 |
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Last 10 Years:
2009 Q2 - 2019 Q2 |
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Since 2000:
2000 Q1 - 2019 Q2 |
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* 10 is highest |
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