Alameda Depot median real estate price is $167,181, which is less expensive than 67.2% of New Mexico neighborhoods and 76.2% of all U.S. neighborhoods.
The average rental price in Alameda Depot is currently $947, based on NeighborhoodScout's exclusive analysis. Rents here are currently lower in price than 81.4% of New Mexico neighborhoods.
Alameda Depot is a suburban neighborhood (based on population density) located in Las Cruces, New Mexico.
Alameda Depot real estate is primarily made up of small (studio to two bedroom) to medium sized (three or four bedroom) single-family homes and small apartment buildings. Most of the residential real estate is occupied by a mixture of owners and renters. Many of the residences in the Alameda Depot neighborhood are older, well-established, built between 1940 and 1969. A number of residences were also built between 1970 and 1999.
Vacant apartments or homes are a major fact of life in Alameda Depot. The current real estate vacancy rate here is 21.3%. This is higher than the rate of vacancies in 87.3% of all U.S. neighborhoods. In addition, most vacant housing here is vacant year round. This can sometimes be the case in neighborhoods dominated by new construction that is not yet occupied. But often neighborhoods with vacancy rates this high are places that can be plagued by a protracted vacancy problem. If you live here, you may find that a number of buildings in your neighborhood are actually empty.
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 Las Cruces, the Alameda Depot neighborhood, has some outstanding things about the way it looks and its way of life that are worth highlighting.
The Alameda Depot neighborhood stands out for having an average per capita income lower than 97.7% of the neighborhoods in the United States. The Alameda Depot neighborhood also has a greater percentage of children living in poverty (65.9%) than found in 97.9% of all U.S. neighborhoods. Children living in poverty is one of the challenges facing America, and the world, and in this neighborhood in particular, the problem can be considered acute.
Did you know that the Alameda Depot neighborhood has more Cuban and Mexican ancestry people living in it than nearly any neighborhood in America? It's true! In fact, 3.0% of this neighborhood's residents have Cuban ancestry and 56.9% have Mexican ancestry.
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 Alameda Depot neighborhood in Las Cruces are low income, making it among the lowest income neighborhoods in America. NeighborhoodScout's research shows that this neighborhood has an income lower than 97.7% of U.S. neighborhoods. With 65.9% of the children here below the federal poverty line, this neighborhood has a higher rate of childhood poverty than 97.9% 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 Alameda Depot neighborhood, 31.5% of the working population is employed in clerical, assistant, and tech support occupations. The second most important occupational group in this neighborhood is executive, management, and professional occupations, with 28.2% of the residents employed. Other residents here are employed in sales and service jobs, from major sales accounts, to working in fast food restaurants (25.3%), and 14.5% in manufacturing and laborer 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 Alameda Depot neighborhood is English, spoken by 58.2% of households. Other important languages spoken here include Spanish and Italian.
Culture is the shared learned behavior of peoples. Undeniably, different ethnicities and ancestries have different cultural traditions, and as a result, neighborhoods with concentrations of residents of one or another ethnicities or ancestries will express those cultures. It is what makes the North End in Boston so fun to visit for the Italian restaurants, bakeries, culture, and charm, and similarly, why people enjoy visiting Chinatown in San Francisco.
In the Alameda Depot neighborhood in Las Cruces, NM, residents most commonly identify their ethnicity or ancestry as Mexican (56.9%). There are also a number of people of German ancestry (7.8%), and residents who report English roots (5.1%), and some of the residents are also of Spanish ancestry (4.8%), along with some Irish ancestry residents (3.0%), among others.
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 Alameda Depot neighborhood spend under 15 minutes commuting one-way to work (47.5% of working residents), one of the shortest commutes across America.
Here most residents (80.4%) 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 (11.3%) and 5.1% of residents also ride the bus 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.
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 NM* | Quality Rating Compared to Nation* |
---|---|---|---|
Alma D'arte Charter School
402 W Court Ave Las Cruces, NM 88005 |
09-12 | ||
J Paul Taylor Academy School
402 W. Court Ave Bldg 2 Las Cruces, NM 88005 |
KG-08 | ||
New America School Las Cruces
207 S Main St Las Cruces, NM 88001 |
09-12 | ||
Alameda Elementary School
1325 N. Alameda Blvd Las Cruces, NM 88005 |
PK-05 | ||
Central Elementary School
150 North Alameda Blvd Las Cruces, NM 88005 |
PK-05 | ||
Las Cruces High School
1750 El Paseo Rd Las Cruces, NM 88001 |
09-12 | ||
Mac Arthur Elementary School
655 N 4 Th St Las Cruces, NM 88005 |
PK-05 | ||
Mayfield High School
1955 North Valley Dr Las Cruces, NM 88007 |
09-12 | ||
Zia Middle School
1300 West University Ave Las Cruces, NM 88005 |
06-08 | ||
Sierra Middle School
1700 E Spruce Ave Las Cruces, NM 88001 |
06-08 | ||
Picacho Middle School
1040 North Motel Blvd Las Cruces, NM 88001 |
06-08 | ||
Early College High School
3400 South Espina St Las Cruces, NM 88001 |
09-12 | ||
Mesilla Valley Leadership Academy School
950 South Walnut St Mesilla Park, NM 88001 |
06-08 | ||
* 10 is highest |
GET FULL REPORTS FOR ANY SCHOOL IN THIS DISTRICT
SEE ALL SCHOOLSAnalytics 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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