Demographics details for Maplewood, NJ vs Foster, OK

Population Overview

Compare main population characteristics in Maplewood, NJ vs Foster, OK.

Data Maplewood Foster
Population 25,232 247
Median Age 39.0 years 38.8 years
Median Income $122 $68,871
Married Families 57.2% 47.0%
Poverty Level 6% 12%
Unemployment Rate 4.3 2.5

Population Comparison: Maplewood vs Foster

  • In Maplewood, the population is higher at 25,232, compared to 247 in Foster.
  • Residents in Maplewood have a higher median age of 39.0 years compared to 38.8 years in Foster.
  • Foster has a higher median income of $68,871, compared to $122 in Maplewood.
  • A higher percentage of married families is found in Maplewood at 57.2% compared to 47.0% in Foster.
  • The poverty level is higher in Foster at 12%, compared to 6% in Maplewood.
  • The unemployment rate in Maplewood is higher at 4.3%, compared to 2.5% in Foster.

Demographics

Demographics Maplewood vs Foster provide insight into the diversity of the communities to compare.

Demographic Maplewood Foster
Black 18 Data is updating
White 64 73
Asian 5 Data is updating
Hispanic 11 Data is updating
Two or More Races 2 20
American Indian Data is updating 7

Demographics Comparison: Maplewood vs Foster

  • A higher percentage of Black residents are in Maplewood at 18% compared to 0% in Foster.
  • The percentage of White residents is higher in Foster at 73% compared to 64% in Maplewood.
  • The Asian population is larger in Maplewood at 5% compared to 0% in Foster.
  • The Hispanic community is larger in Maplewood at 11% compared to 0% in Foster.
  • The percentage of residents identifying as two or more races is higher in Foster at 20%, compared to 2% in Maplewood.
  • In Foster, the percentage of American Indian residents is higher at 7%, compared to 0% in Maplewood.

Health Statistics

The health statistics provide insights into prevalent health conditions in two communities.

Health Metric Maplewood Foster
Mental Health Not Good Data is updating% 18.5%
Physical Health Not Good Data is updating% 12.9%
Depression Data is updating% 24.7%
Smoking Data is updating% 21.6%
Binge Drinking Data is updating% 15.3%
Obesity Data is updating% 41.9%
Disability Percentage Data is updating% 13.0%

Health Statistics Comparison: Maplewood vs Foster

  • In Foster, a higher percentage report poor mental health at 18.5% compared to 0.0% in Maplewood.
  • Higher depression rates are seen in Foster at 24.7% versus 0.0% in Maplewood.
  • Foster has a higher smoking rate at 21.6% compared to 0.0% in Maplewood.
  • More residents engage in binge drinking in Foster at 15.3% compared to 0.0% in Maplewood.
  • Foster has higher obesity rates at 41.9% compared to 0.0% in Maplewood.
  • There is a higher percentage of disabled individuals in Foster at 13.0% compared to 0.0% in Maplewood.

Education Levels

The educational attainment in the area helps gauge the workforce's skill level and economic potential.

Education Level Maplewood Foster
No Schooling 0.0% (Data is updating) 0.0% (Data is updating)
High School Diploma 0.0% (Data is updating) 30.4% (75)
Less than High School 0.0% (Data is updating) 8.1% (20)
Bachelor's Degree and Higher 0.0% (Data is updating) 22.3% (55)

Education Levels Comparison: Maplewood vs Foster

  • The percentage of residents with no formal schooling is the same in both Maplewood and Foster at 0.0%.
  • In Foster, the rate of residents with high school diplomas is higher at 30.4% compared to 0.0% in Maplewood.
  • The percentage of residents with less than a high school education is higher in Foster at 8.1%, compared to 0.0% in Maplewood.
  • In Foster, a larger share of residents have a bachelor's degree or higher at 22.3% compared to 0.0% in Maplewood.

Crime and Safety

Understanding crime rates and safety measures is crucial for assessing the livability of a city or town. Crime levels can vary significantly from one neighborhood to another, influenced by various factors such as population density and local amenities. For instance, areas with high foot traffic, like train stations, might experience different crime dynamics compared to quieter residential neighborhoods. Evaluating these patterns helps in making informed decisions about safety and community well-being.