Rodman / Lorraine median real estate price is $179,452, which is less expensive than 79.1% of New York neighborhoods and 64.4% of all U.S. neighborhoods.
The average rental price in Rodman / Lorraine is currently $850, based on NeighborhoodScout's exclusive analysis. Rents here are currently lower in price than 96.3% of New York neighborhoods.
Rodman / Lorraine is a rural neighborhood (based on population density) located in Watertown, New York.
Rodman / Lorraine real estate is primarily made up of medium sized (three or four bedroom) to large (four, five or more bedroom) single-family homes and mobile homes. Most of the residential real estate is owner occupied. Many of the residences in the Rodman / Lorraine neighborhood are established but not old, having been built between 1970 and 1999. A number of residences were also built before 1940.
Rodman / Lorraine has a 14.5% vacancy rate, which is well above average compared to other U.S. neighborhoods (higher than 73.2% of American neighborhoods). Most vacant housing here is vacant year round. This could either signal that there is a weak demand for real estate in the neighborhood or that large amount of new housing has been built and not yet occupied. Either way, if you live here, you may find many of the homes or apartments are empty.
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.
Of particular note, 12.6% of the people in the Rodman / Lorraine neighborhood currently reside in a correction facility, held due to punishment for a crime.
The Rodman / Lorraine neighborhood has a greater proportion of government workers living in it than 97.3% of the neighborhoods in America, according to NeighborhoodScout's exclusive analysis. This is a unique feature of this neighborhood, and one that shapes its character.
Furthermore, each year, fewer and fewer Americans make their living as farmers, foresters, or fishers. But the Rodman / Lorraine neighborhood truly stands out among U.S. neighborhoods. According to exclusive NeighborhoodScout analysis, this neighborhood has a greater proportion of farmers, foresters, or fishers than 95.4% of all American neighborhoods. This is truly a unique cultural characteristic of this neighborhood.
This neighborhood has wide open spaces, few people, and lots of space to stretch out. If you like locations that fit that description, you may like this neighborhood. Based on NeighborhoodScout's exclusive analysis, with only 43 people per square mile living here, this neighborhood is less crowded than 90.6% of America.
Did you know that the Rodman / Lorraine neighborhood has more French ancestry people living in it than nearly any neighborhood in America? It's true! In fact, 6.9% of this neighborhood's residents have French ancestry.
Rodman / Lorraine is also pretty special linguistically. Significantly, 1.3% of its residents five years old and above primarily speak Portuguese at home. While this may seem like a small percentage, it is higher than 95.9% 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 Rodman / Lorraine neighborhood in Watertown are upper-middle income, making it an above average income neighborhood. NeighborhoodScout's exclusive analysis reveals that this neighborhood has a higher income than 66.0% of the neighborhoods in America. With 20.5% of the children here below the federal poverty line, this neighborhood has a higher rate of childhood poverty than 64.4% of U.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 Rodman / Lorraine neighborhood, 32.8% of the working population is employed in executive, management, and professional occupations. The second most important occupational group in this neighborhood is manufacturing and laborer occupations, with 24.0% of the residents employed. Other residents here are employed in sales and service jobs, from major sales accounts, to working in fast food restaurants (21.7%), and 17.6% 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 Rodman / Lorraine neighborhood is English, spoken by 91.1% of households. Other important languages spoken here include Spanish 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 Rodman / Lorraine neighborhood in Watertown, NY, residents most commonly identify their ethnicity or ancestry as English (14.6%). There are also a number of people of German ancestry (14.5%), and residents who report Irish roots (12.0%), and some of the residents are also of Italian ancestry (8.7%), along with some French ancestry residents (6.9%), among others.
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 Rodman / Lorraine neighborhood spend between 15 and 30 minutes commuting one-way to work (50.5% of working residents), which is shorter than the time spent commuting to work for most Americans.
Here most residents (93.2%) 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 (5.3%) . 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
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 May 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 NY* | Quality Rating Compared to Nation* |
|---|---|---|---|
|
Copenhagen Central School
3020 Mechanic St Copenhagen, NY 13626 |
PK-12 | ||
|
Case Middle School
1237 Washington St Watertown, NY 13601 |
07-08 | ||
|
Harold T Wiley School
1351 Washington St Watertown, NY 13601 |
05-06 | ||
|
Knickerbocker School
739 Knickerbocker Dr Watertown, NY 13601 |
KG-04 | ||
|
Sherman School
836 Sherman St Watertown, NY 13601 |
KG-04 | ||
|
Watertown Senior High School
1335 Washington St Watertown, NY 13601 |
09-12 | ||
| * 10 is highest | |||
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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