Demographics details for Springfield, MO vs Cedar grove, WV

Population Overview

Compare main population characteristics in Springfield, MO vs Cedar grove, WV.

Data Springfield Cedar grove
Population 170,067 693
Median Age 33.3 years 44.3 years
Median Income $43,450 $55,600
Married Families 32.0% 31.0%
Poverty Level 17% 12%
Unemployment Rate 4.0 4.5

Population Comparison: Springfield vs Cedar grove

  • In Springfield, the population is higher at 170,067, compared to 693 in Cedar grove.
  • The median age in Cedar grove is higher at 44.3 years, compared to 33.3 years in Springfield.
  • Cedar grove has a higher median income of $55,600, compared to $43,450 in Springfield.
  • A higher percentage of married families is found in Springfield at 32.0% compared to 31.0% in Cedar grove.
  • Springfield has a higher poverty level at 17% compared to 12% in Cedar grove.
  • Cedar grove has a higher unemployment rate at 4.5% compared to 4.0% in Springfield.

Demographics

Demographics Springfield vs Cedar grove provide insight into the diversity of the communities to compare.

Demographic Springfield Cedar grove
Black 4 Data is updating
White 83 98
Asian 2 Data is updating
Hispanic 5 Data is updating
Two or More Races 6 2
American Indian Data is updating Data is updating

Demographics Comparison: Springfield vs Cedar grove

  • A higher percentage of Black residents are in Springfield at 4% compared to 0% in Cedar grove.
  • The percentage of White residents is higher in Cedar grove at 98% compared to 83% in Springfield.
  • The Asian population is larger in Springfield at 2% compared to 0% in Cedar grove.
  • The Hispanic community is larger in Springfield at 5% compared to 0% in Cedar grove.
  • More residents identify as two or more races in Springfield at 6% compared to 2% in Cedar grove.
  • The percentage of American Indian residents is the same in both Springfield and Cedar grove at 0%.

Health Statistics

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

Health Metric Springfield Cedar grove
Mental Health Not Good 19.8% 22.3%
Physical Health Not Good 14.1% 15.7%
Depression 27.3% 30.1%
Smoking 21.6% 24.6%
Binge Drinking 16.5% 13.9%
Obesity 35.8% 40.4%
Disability Percentage 16.0% 20.0%

Health Statistics Comparison: Springfield vs Cedar grove

  • In Cedar grove, a higher percentage report poor mental health at 22.3% compared to 19.8% in Springfield.
  • Higher depression rates are seen in Cedar grove at 30.1% versus 27.3% in Springfield.
  • Cedar grove has a higher smoking rate at 24.6% compared to 21.6% in Springfield.
  • Binge drinking is more common in Springfield at 16.5% compared to 13.9% in Cedar grove.
  • Cedar grove has higher obesity rates at 40.4% compared to 35.8% in Springfield.
  • There is a higher percentage of disabled individuals in Cedar grove at 20.0% compared to 16.0% in Springfield.

Education Levels

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

Education Level Springfield Cedar grove
No Schooling 0.6% (1,094) 0.6% (4)
High School Diploma 14.7% (24,915) 21.2% (147)
Less than High School 9.6% (16,273) 18.5% (128)
Bachelor's Degree and Higher 18.9% (32,189) 2.3% (16)

Education Levels Comparison: Springfield vs Cedar grove

  • The percentage of residents with no formal schooling is the same in both Springfield and Cedar grove at 0.6%.
  • In Cedar grove, the rate of residents with high school diplomas is higher at 21.2% compared to 14.7% in Springfield.
  • The percentage of residents with less than a high school education is higher in Cedar grove at 18.5%, compared to 9.6% in Springfield.
  • A higher percentage of residents in Springfield hold a bachelor's degree or higher at 18.9% compared to 2.3% in Cedar grove.

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.