What do we mean by a neighborhood?
NeighborhoodScout® uses the official government designation for neighborhoods - the census tract.
Census tracts are small, relatively permanent subdivisions of a county that are defined by the U.S. Census Bureau in conjunction with local authorities all across the country to define real neighborhoods that are bounded to contain areas with homogeneous population characteristics (including economic status, lifestyle, and living conditions). Census tracts usually have 4,000 persons, but can range between 1,500 and 8,000 persons. This is the most fine-grained area for which detailed information is made available from the government, to protect the individual privacy of each of us. Because census tracts are based on population, they vary in size depending on the density of settlement. In urban areas, they are small, and in rural areas they can cover an entire small town or even a few small towns in very rural areas.
Since census tracts are subdivisions of a county, we did a spatial overlay of the census tracts onto city and town boundaries using a geographic information system to properly assign each census tract to its appropriate city or town. Then we named each census tract to the local colloquially recognized neighborhood name for that spot (e.g., Boston, MA (Dorchester). If there was not a name available, we named the census tract by the largest street intersection in the census tract (e.g., Worcester, MA (Lincoln St/Plantation St)
Why we don't use Zip Codes as neighborhoods
Zip codes were developed by the Postal Service for the purpose of delivering mail, but were never intended to define coherent neighborhoods. In addition, Zip Codes can have as many as 10 distinctly different census tracts contained within them. When distinct census tracts are blended together in a single Zip Code, the data reflects their average conditions and often gives a false sense of the area. The result is that potentially great matching neighborhoods can be missed, and erroneous matches can also be produced and delivered to you.
Using census tracts makes great matches possible, and helps people find the areas that are best for them and their families. Because we are committed to providing the highest possible quality and finding the neighborhoods that best meet your criteria, we use census tracts. And, as always, we show you the actual street map of the neighborhood so you know exactly where your best matching neighborhood is located.
What is a Condition Alert?
A condition alert is a condition in the neighborhood that triggers an alert. NeighborhoodScout contains condition alerts to highlight conditions that are extreme, whether good or bad. This helps answer crucial questions about the state of the neighborhood being evaluated, such as:
What are the risks of violent crime here?
Is the risk of home break-ins or other property crimes increasing?
Does real estate here hold its value?
Are the trends in local vacancies or unemployment concerning?
...and dozens more.
Information at a glance that you need to know to invest, appraise or finance a property.
Monta Loma median real estate price is $2,912,038, which is more expensive than 96.7% of the neighborhoods in California and 99.4% of the neighborhoods in the U.S.
The average rental price in Monta Loma is currently $4,040, based on NeighborhoodScout's exclusive analysis. The average rental cost in this neighborhood is higher than 74.1% of the neighborhoods in California.
Monta Loma is an urban neighborhood (based on population density) located in Mountain View, California.
Monta Loma real estate is primarily made up of medium sized (three or four bedroom) to small (studio to two bedroom) single-family homes and townhomes. Most of the residential real estate is owner occupied. Many of the residences in the Monta Loma neighborhood are older, well-established, built between 1940 and 1969. A number of residences were also built between 1970 and 1999.
Home and apartment vacancy rates are 8.0% in Monta Loma. NeighborhoodScout analysis shows that this rate is lower than 48.0% of the neighborhoods in the nation, approximately near the middle range for vacancies.
Notable & Unique Neighborhood Characteristics
Many things matter about a neighborhood, but the first thing most people notice is the way a neighborhood looks and its particular character. For example, one might notice whether the buildings all date from a certain time period or whether shop signs are in multiple languages. This particular neighborhood in Mountain View, the Monta Loma neighborhood, has some outstanding things about the way it looks and its way of life that are worth highlighting.
People
Wealth makes most things in life easier, and a few things harder. If you are wealthy and enjoy keeping up with the Jones', this neighborhood will interest you. In fact, according to NeighborhoodScout's research, the Monta Loma neighborhood is wealthier than 97.6% of the neighborhoods in the United States. Residents here are truly in a unique situation even when compared to other Americans, based on the sheer amount of wealth concentrated here. Even in times of economic downturn, residents of this neighborhood, as a group, suffered less and recovered more quickly. This is indeed a stand-out characteristic of this neighborhood. As one would expect in a considerably wealthy neighborhood such as this, Monta Loma also has one of the lowest ratings of child poverty in the nation.
In addition, if knowledge is power, then imagine the cumulative power of one neighborhood where many of the adults have earned an advanced degree, such as a Masters, law degree, medical degree, or even a Ph.D. This is certainly the case in the Monta Loma neighborhood, where 43.3% have earned an advanced degree. Compare that to the average neighborhood in America, where just 13.4% of adults have completed a post-graduate degree, and you can see why this neighborhood is a stand out. In fact, this neighborhood has a higher rate of adults with an advanced degree than 98.0% of the neighborhoods in America.
Modes of Transportation
If your dream is to be able to ride your bike to work each day, look no further than this unique neighborhood. With 8.2% of residents in the Monta Loma neighborhood commuting on a bicycle to and from work daily, this neighborhood has more bicycle commuters than 99.4% of all neighborhoods in the U.S., according to NeighborhoodScout's exclusive analysis.
Also, in the Monta Loma neighborhood, many people's commute means walking from the bedroom to the home office. NeighborhoodScout's analysis found that 36.8% of residents worked from home. This may not seem like a large number, but Scout's research shows that this is a higher percentage of people working from home than 99.1% of the neighborhoods in America. Often people who work from home are engaged in the creative or technological economy, such as is found in areas around Boston, and in Silicon Valley. Other times, people may be engaged in other businesses like trading stocks from home, or running a small beauty salon.
Occupations
Executives, managers and professionals make up 80.3% of the workforce in the Monta Loma neighborhood which, according to NeighborhoodScout's exclusive analysis, is a higher proportion of such high-level people than is found in 99.1% of the neighborhoods in America. For this reason, this neighborhood really stands out as unique.
Diversity
Did you know that the Monta Loma neighborhood has more Iranian and Dutch ancestry people living in it than nearly any neighborhood in America? It's true! In fact, 2.0% of this neighborhood's residents have Iranian ancestry and 5.7% have Dutch ancestry.
Monta Loma is also pretty special linguistically. Significantly, 4.5% of its residents five years old and above primarily speak Russian at home. While this may seem like a small percentage, it is higher than 99.7% of the neighborhoods in America.
The Neighbors
How wealthy a neighborhood is, from very wealthy, to middle income, to low income is very formative with regard to the personality and character of a neighborhood. Equally important is the rate of people, particularly children, who live below the federal poverty line. In some wealthy gated communities, the areas immediately surrounding can have high rates of childhood poverty, which indicates other social issues. NeighborhoodScout's analysis reveals both aspects of income and poverty for this neighborhood.
The neighbors in the Monta Loma neighborhood in Mountain View 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 97.6% of the neighborhoods in America. In addition, 0.0% of the children seventeen and under living in this neighborhood are living below the federal poverty line, which is a lower rate of childhood poverty than is found in 100.0% of America's neighborhoods.
The old saying "you are what you eat" is true. But it is also true that you are what you do for a living. The types of occupations your neighbors have shape their character, and together as a group, their collective occupations shape the culture of a place.
In the Monta Loma neighborhood, 80.3% 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 14.2% of the residents employed. Other residents here are employed in manufacturing and laborer occupations (3.3%), and 2.2% in clerical, assistant, and tech support occupations.
Languages
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 Monta Loma neighborhood is English, spoken by 59.6% of households. Other important languages spoken here include French, Chinese, Spanish and Russian.
Ethnicity / Ancestry
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 Monta Loma neighborhood in Mountain View, CA, residents most commonly identify their ethnicity or ancestry as Asian (25.0%). There are also a number of people of German ancestry (11.8%), and residents who report Sub-Saharan African roots (9.4%), and some of the residents are also of Dutch ancestry (5.7%), along with some English ancestry residents (5.5%), among others. In addition, 40.8% of the residents of this neighborhood were born in another country.
Getting to Work
Even if your neighborhood is walkable, you may still have to drive to your place of work. Some neighborhoods are located where many can get to work in just a few minutes, while others are located such that most residents have a long and arduous commute. The greatest number of commuters in Monta Loma neighborhood spend between 15 and 30 minutes commuting one-way to work (56.6% of working residents), which is shorter than the time spent commuting to work for most Americans.
Here most residents (42.9%) drive alone in a private automobile to get to work. In addition, quite a number also bicycle to get to work (8.2%) and 7.6% of residents also carpool with coworkers, friends, or neighbors for their daily commute. In a neighborhood like this, as in most of the nation, many residents find owning a car useful for getting to work.
SCOUT’s patented match algorithm identifies the most similar neighborhoods to a subject location, and quantifies the similarity to the subject location. This allows analysts to identify the most similar neighborhoods in a local market area for appraisals, investments, and research.
The algorithm uses 273 neighborhood conditions, identifies the dominant dimensions underlying the conditions and calculates the similarity. This captures the true culture and character of locations, economic conditions, and trends.
The closer to 100% means the locations are nearly identical. 80% is a very good, but not excellent match, and so forth.
