Demographics details for Big springs, NE vs New philadelphia, OH

Population Overview

Compare main population characteristics in Big springs, NE vs New philadelphia, OH.

Data Big springs New philadelphia
Population 408 17,437
Median Age 53.5 years 42.8 years
Median Income $65,694 $55,590
Married Families 55.0% 38.0%
Poverty Level 10% 15%
Unemployment Rate 3.5 4.0

Population Comparison: Big springs vs New philadelphia

  • The population in New philadelphia is higher at 17,437, compared to 408 in Big springs.
  • Residents in Big springs have a higher median age of 53.5 years compared to 42.8 years in New philadelphia.
  • Big springs has a higher median income of $65,694 compared to $55,590 in New philadelphia.
  • A higher percentage of married families is found in Big springs at 55.0% compared to 38.0% in New philadelphia.
  • The poverty level is higher in New philadelphia at 15%, compared to 10% in Big springs.
  • New philadelphia has a higher unemployment rate at 4.0% compared to 3.5% in Big springs.

Demographics

Demographics Big springs vs New philadelphia provide insight into the diversity of the communities to compare.

Demographic Big springs New philadelphia
Black Data is updating 1
White 75 88
Asian Data is updating 1
Hispanic 15 8
Two or More Races 7 2
American Indian 3 Data is updating

Demographics Comparison: Big springs vs New philadelphia

  • In New philadelphia, the percentage of Black residents is higher at 1% compared to 0% in Big springs.
  • The percentage of White residents is higher in New philadelphia at 88% compared to 75% in Big springs.
  • In New philadelphia, the Asian population stands at 1%, greater than 0% in Big springs.
  • The Hispanic community is larger in Big springs at 15% compared to 8% in New philadelphia.
  • More residents identify as two or more races in Big springs at 7% compared to 2% in New philadelphia.
  • A greater percentage of American Indian residents live in Big springs at 3% compared to 0% in New philadelphia.

Health Statistics

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

Health Metric Big springs New philadelphia
Mental Health Not Good 14.4% 19.1%
Physical Health Not Good 9.9% 13.6%
Depression 17.8% 24.3%
Smoking 17.0% 24.7%
Binge Drinking 21.1% 16.3%
Obesity 39.5% 41.3%
Disability Percentage 18.0% 15.0%

Health Statistics Comparison: Big springs vs New philadelphia

  • In New philadelphia, a higher percentage report poor mental health at 19.1% compared to 14.4% in Big springs.
  • Higher depression rates are seen in New philadelphia at 24.3% versus 17.8% in Big springs.
  • New philadelphia has a higher smoking rate at 24.7% compared to 17.0% in Big springs.
  • Binge drinking is more common in Big springs at 21.1% compared to 16.3% in New philadelphia.
  • New philadelphia has higher obesity rates at 41.3% compared to 39.5% in Big springs.
  • Disability percentages are higher in Big springs at 18.0% compared to 15.0% in New philadelphia.

Education Levels

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

Education Level Big springs New philadelphia
No Schooling 0.7% (3) 0.6% (108)
High School Diploma 19.4% (79) 26.5% (4,618)
Less than High School 22.1% (90) 11.7% (2,048)
Bachelor's Degree and Higher 16.7% (68) 17.2% (3,001)

Education Levels Comparison: Big springs vs New philadelphia

  • A higher percentage of residents in Big springs have no formal schooling at 0.7% compared to 0.6% in New philadelphia.
  • In New philadelphia, the rate of residents with high school diplomas is higher at 26.5% compared to 19.4% in Big springs.
  • More residents in Big springs have less than a high school education at 22.1% compared to 11.7% in New philadelphia.
  • In New philadelphia, a larger share of residents have a bachelor's degree or higher at 17.2% compared to 16.7% in Big springs.

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.