Maplewood Park, OH Profile: Facts, Map & Data


Maplewood Park Local Links & Resources:
Hotels | Resources | ALL Maplewood Park Content

Also See: Hubbard, OH ZIP Codes & ZIP Code Maps | Local Area Photos

Maplewood Park, Ohio - Basic Facts

The Maplewood Park Census Designated Place had a population of 251 as of July 1, 2016. Maplewood Park ranks in the lower quartile for Population Density and the upper quartile for Diversity Index when compared to the other cities, towns and Census Designated Places (CDPs) in Ohio. See peer rankings below.

The primary coordinate point for Maplewood Park is located at latitude 41.1392 and longitude -80.5797 in Trumbull County. The formal boundaries for the Maplewood Park Census Designated Place (see map below) encompass a land area of 0.79 sq. miles and a water area of 0 sq. miles. Trumbull County is in the Eastern time zone (GMT -5). The elevation is 1,093 feet.

The Maplewood Park Census Designated Place (GNIS ID: 2393120) has a U1 Census Class Code which indicates a census designated place with an official federally recognized name. It also has a Functional Status Code of "S" which identifies a statistical entity.

The Maplewood Park Census Designated Place is located within Township of Hubbard, a minor civil division (MCD) of Trumbull County.

Beneath the boundary map are tables with Maplewood Park population, income and housing data, five-year growth projections and peer comparisons for key demographic data. The estimates are for July 1, 2016.

Neighborhood Data

Address Based Hyperlocal Data Input an address and get data & demographics for the pertinent census block group (CBG), a searchable map and a customized directory. The CBG is the smallest geographical unit used by the Census Bureau for reporting certain data.


Maplewood Park Census Designated Place, OH Boundary Map

Also See: BIG Map | Driving Directions | OH Congressional Districts
Boundary Maps: Township of Hubbard | Trumbull County | Ohio Counties

Search the map for:

Maplewood Park, OH Data & Demographics (As of July 1, 2016)


Total Population 251
Population in Households 251
Population in Familes 208
Population in Group Qrtrs 0
Population Density1 319
Diversity Index2 31


Total Households 109
Average Household Size 2.3
Family Households 74
Average Family Size 3


Total Housing Units 139 (100%)
Owner Occupied HU 90 (64.7%)
Renter Occupied HU 19 (13.7%)
Vacant Housing Units 30 (21.6%)
Median Home Value $67,500
Average Home Value $71,703


Median Household Income $39,644
Average Household Income $50,958
Per Capita Income $21,684
  (Compound Annual Growth Rates)


2010-2015 2015-2020
Population -1.73% -1.22%
Households -1.39% -0.93%
Families -2.01% -1.11%
Median Household Income   1.33%
Per Capita Income   2.06%
1) Population Density = Total Population per square mile.
2) The Diversity Index is a scale of 0 to 100 that represents the likelyhood that two persons, chosen at random from the same area, belong to different race or ethnic groups. If an area's entire population belongs to one race AND one ethnic group, then the area has zero diversity. An area's diversity index increases to 100 when the population is evenly divided into two or more race/ethnic groups.
Based on Census 2010 counts, the Diversity Index for the United States was 60.6 and it is expected to increase to 64.8 by July 1, 2018.

Maplewood Park, OH - Peer Comparisons by Rank and Percentile

The table below compares Maplewood Park to the other 1,215 incorporated cities, towns and CDPs in Ohio by rank and percentile using July 1, 2016 data. The location Ranked # 1 has the highest value. A location that ranks higher than 75% of its peers would be in the 75th percentile of the peer group.

Variable Description Rank Percentile
Total Population # 1030 15th
Population Density1 # 1112 9th
Diversity Index2 # 152 87th
Median Household Income # 939 23rd
Per Capita Income # 794 35th

Additional comparisons and rankings can be made with a VERY EASY TO USE Ohio Census Data Comparison Tool.

Ohio Research Tools

Ohio Census Data Comparison Tool

Compare Ohio Census Data
Highest or Lowest: