San Diego  »  92116  »  North Park

4580 Ohio Street, San Diego, CA 92116

North Park, Western San Diego, San Diego
Building in North Park
4580 Ohio Street - Photo 1
4580 Ohio Street
North Park, Western San Diego, San Diego
$3,200
|
2 Bed
|
2 Bath
By Suzanne Yavorsky
Welcome to 4580 Ohio Street, a building located in North Park, Western San Diego, San Diego in San Diego, CA. As a quick overview, these are the most up-to-date information we've collected about the property.

Here's what we know about the features and amenities in this building. While there is no garage access for residents, you will probably be able to find a local garage to park your car at instead. The local assessor's office has not provided us with information related to the roof cover material and the type of roof the building has.
Policies
Cats Allowed
Dogs Allowed
Neighborhood
Census Block Code
2000
Census Group
2
Census Year
2020
Census - County FIPS
06073
Census - Full FIPS
060730012012000
Census - Metro Micro Statistical Area - Area Code
41740
Census - Metro Micro Statistical Area - Area Name
San Diego-Chula Vista-Carlsbad, CA
Census - Metro Micro Statistical Area - Area Type
metropolitan
Census - Place FIPS
0666000
Census Source
US Census Bureau
Census State FIPS
06
Census Tract Code
001201
School District - Unified - Grade High
12
School District - Unified - Grade Low
KG
School District - Unified - LEA Code
0634320
School District - Unified - Name
San Diego City Unified School District
More About The Building
Fun fact, were you aware that buildings can shift depending on temperatures outdoors? This might remind you of middle school science classes, but heat will cause most materials to expand while the cold will cause them to contract. As a result, many architects and engineers often have to make sure that control joints are made up of the right materials and in good condition. The building class code for 4580 Ohio Street is unknown but given the importance of this information, we will work to update this data as soon as possible.

Interested in learning more about the neighborhood that the property is located in? Buildings in the North Park area have a median price of $3,200. Those in the 25th percentile, have a price around $3,000. While those in the 75th percentile, have a price around $3,595. Typically, the buildings in this area have a median sqft of 860. That means that the median price per sqft is around $4. In other words, the price per sqft for buildings in the 25th percentile is $3. While the price per sqft for buildings in the 75th percentile is $4. As a breakdown, we've included the following stats:

  • There are currently no studio listings being advertised in the area.
  • There are currently a total of 2 one bedroom listings. The median price for these types of listings is $2,450. That's $4.28 price per sqft.

  • There are currently a total of 7 two bedroom listings. The median price for these types of listings is $3,395. That's $3.64 price per sqft.

  • There are currently no three bedroom listings being advertised in the area.
  • There are currently no four bedroom listings being advertised in the area.
About The Area
4580 Ohio Street is located in San Diego County, California. There are 3,253,356 people living here. There are 1,103,128 households. Most of these households have an average family size of 3.45 people. According to the census, 47% are currently renting while 53% own their homes. The median age of this population is around 35.3 years old. On average, most folks in the county are unmarried. About 38% of folks speak a language other than English in this area. The area's employment rate is currently around 57.4%. Speaking of employment, the median income is $66,529. Most folks will commute by car for around 25.3 minutes. Finally, we know that 19% of residents in the area have graduated with their high school degree. Additionally, 23% and 14% have their Bachelor's and Master's degree, respectfully.

Moving on to the urban area level. San Diego, CA Urban Area has a population of 3,108,710 people. Based on census records, there are 1,059,243 registered households. Families in this area are on average made up of 3.45 people per household. Most folks are unmarried. They are also typically around 35.2 years old. Does diversity matter to you? Right now, 38% of folks speak a language other than English here. About 48% rent while 52% purchased their homes. Right now, the community is made up of 19% of residents who have graduated with at least a high school degree. On top of that, 23% have a Bachelor's degree and 14% have a Master's degree. The employment rate is currently around 57.8%. Those employed, have a median income of $66,196. If you move here, you can expect to commute mostly by car for around 25.1 minutes.

-
Studio Median Rent
$2,450
1BR Median Rent
$3,395
2BR Median Rent
-
3BR Median Rent
PUBLIC TRANSIT
2
30th St & Monroe Av (520 ft - 3 min walk)
San Diego International Airport, Metropolitan Transit System (MTS)
2
30th St & Monroe Av (690 ft - 3 min walk)
San Diego International Airport, Metropolitan Transit System (MTS)
2
30th St & Adams Av (790 ft - 3 min walk)
San Diego International Airport, Metropolitan Transit System (MTS)
11
Adams Av & Boundary St (840 ft - 3 min walk)
San Diego International Airport, Metropolitan Transit System (MTS)
11
Adams Av & 30th St (880 ft - 4 min walk)
San Diego International Airport, Metropolitan Transit System (MTS)

Nearby Schools

(within attendance boundary)
Garfield Elementary  •  0.35 mi
4487 Oregon St., San Diego, CA 92116
Public  •  Elementary  •  Grades KG to 5
San Diego City Unified School District
3366 Park Blvd., San Diego, CA 92103
Public  •  Middle School  •  Grades 6 to 8
San Diego City Unified School District
Hoover High  •  1.83 mi
4474 El Cajon Blvd., San Diego, CA 92115
Public  •  High School  •  Grades 9 to 12
San Diego City Unified School District
School zoning information and other data are provided by RealtyHop Schools and 3rd party sources. The contents of the database are not guaranteed to be accurate or timely. Contact the schools or districts before making any decisions using on this data.
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