Demographics details for Smith center, KS vs New bedford, MA

Population Overview

Compare main population characteristics in Smith center, KS vs New bedford, MA.

Data Smith center New bedford
Population 1,561 100,682
Median Age 46.6 years 36.8 years
Median Income $49,444 $54,604
Married Families 43.0% 29.0%
Poverty Level 10% 15%
Unemployment Rate 3.2 5.5

Population Comparison: Smith center vs New bedford

  • The population in New bedford is higher at 100,682, compared to 1,561 in Smith center.
  • Residents in Smith center have a higher median age of 46.6 years compared to 36.8 years in New bedford.
  • New bedford has a higher median income of $54,604, compared to $49,444 in Smith center.
  • A higher percentage of married families is found in Smith center at 43.0% compared to 29.0% in New bedford.
  • The poverty level is higher in New bedford at 15%, compared to 10% in Smith center.
  • New bedford has a higher unemployment rate at 5.5% compared to 3.2% in Smith center.

Demographics

Demographics Smith center vs New bedford provide insight into the diversity of the communities to compare.

Demographic Smith center New bedford
Black 1 5
White 94 56
Asian Data is updating 1
Hispanic 3 23
Two or More Races 2 14
American Indian Data is updating 1

Demographics Comparison: Smith center vs New bedford

  • In New bedford, the percentage of Black residents is higher at 5% compared to 1% in Smith center.
  • Smith center has a higher percentage of White residents at 94% compared to 56% in New bedford.
  • In New bedford, the Asian population stands at 1%, greater than 0% in Smith center.
  • New bedford has a higher percentage of Hispanic residents at 23%, compared to 3% in Smith center.
  • The percentage of residents identifying as two or more races is higher in New bedford at 14%, compared to 2% in Smith center.
  • In New bedford, the percentage of American Indian residents is higher at 1%, compared to 0% in Smith center.

Health Statistics

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

Health Metric Smith center New bedford
Mental Health Not Good 16.7% 19.4%
Physical Health Not Good 10.8% 13.4%
Depression 21.7% 24.2%
Smoking 19.2% 22.3%
Binge Drinking 19.0% 16.4%
Obesity 38.8% 33.6%
Disability Percentage 15.0% 14.0%

Health Statistics Comparison: Smith center vs New bedford

  • In New bedford, a higher percentage report poor mental health at 19.4% compared to 16.7% in Smith center.
  • Higher depression rates are seen in New bedford at 24.2% versus 21.7% in Smith center.
  • New bedford has a higher smoking rate at 22.3% compared to 19.2% in Smith center.
  • Binge drinking is more common in Smith center at 19.0% compared to 16.4% in New bedford.
  • Obesity rates are higher in Smith center at 38.8% compared to 33.6% in New bedford.
  • Disability percentages are higher in Smith center at 15.0% compared to 14.0% in New bedford.

Education Levels

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

Education Level Smith center New bedford
No Schooling 0.2% (3) 2.7% (2,746)
High School Diploma 29.4% (459) 19.3% (19,436)
Less than High School 7.6% (118) 28.8% (29,037)
Bachelor's Degree and Higher 14.8% (231) 10.9% (11,005)

Education Levels Comparison: Smith center vs New bedford

  • In New bedford, a larger percentage of residents lack formal schooling at 2.7% compared to 0.2% in Smith center.
  • A higher percentage of residents in Smith center hold a high school diploma at 29.4% compared to 19.3% in New bedford.
  • The percentage of residents with less than a high school education is higher in New bedford at 28.8%, compared to 7.6% in Smith center.
  • A higher percentage of residents in Smith center hold a bachelor's degree or higher at 14.8% compared to 10.9% in New bedford.

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.