Demographics details for Smith center, KS vs La crescent, MN

Population Overview

Compare main population characteristics in Smith center, KS vs La crescent, MN.

Data Smith center La crescent
Population 1,561 5,344
Median Age 46.6 years 42.8 years
Median Income $49,444 $70,813
Married Families 43.0% 44.0%
Poverty Level 10% 8%
Unemployment Rate 3.2 2.5

Population Comparison: Smith center vs La crescent

  • The population in La crescent is higher at 5,344, compared to 1,561 in Smith center.
  • Residents in Smith center have a higher median age of 46.6 years compared to 42.8 years in La crescent.
  • La crescent has a higher median income of $70,813, compared to $49,444 in Smith center.
  • In La crescent, the percentage of married families is higher at 44.0%, compared to 43.0% in Smith center.
  • Smith center has a higher poverty level at 10% compared to 8% in La crescent.
  • The unemployment rate in Smith center is higher at 3.2%, compared to 2.5% in La crescent.

Demographics

Demographics Smith center vs La crescent provide insight into the diversity of the communities to compare.

Demographic Smith center La crescent
Black 1 Data is updating
White 94 92
Asian Data is updating Data is updating
Hispanic 3 1
Two or More Races 2 7
American Indian Data is updating Data is updating

Demographics Comparison: Smith center vs La crescent

  • A higher percentage of Black residents are in Smith center at 1% compared to 0% in La crescent.
  • Smith center has a higher percentage of White residents at 94% compared to 92% in La crescent.
  • Both Smith center and La crescent have the same percentage of Asian residents at 0%.
  • The Hispanic community is larger in Smith center at 3% compared to 1% in La crescent.
  • The percentage of residents identifying as two or more races is higher in La crescent at 7%, compared to 2% in Smith center.
  • The percentage of American Indian residents is the same in both Smith center and La crescent at 0%.

Health Statistics

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

Health Metric Smith center La crescent
Mental Health Not Good 16.7% 13.5%
Physical Health Not Good 10.8% 7.9%
Depression 21.7% 22.2%
Smoking 19.2% 13.9%
Binge Drinking 19.0% 21.1%
Obesity 38.8% 33.2%
Disability Percentage 15.0% 15.0%

Health Statistics Comparison: Smith center vs La crescent

  • More residents in Smith center report poor mental health at 16.7% compared to 13.5% in La crescent.
  • Higher depression rates are seen in La crescent at 22.2% versus 21.7% in Smith center.
  • Smoking is more prevalent in Smith center at 19.2% compared to 13.9% in La crescent.
  • More residents engage in binge drinking in La crescent at 21.1% compared to 19.0% in Smith center.
  • Obesity rates are higher in Smith center at 38.8% compared to 33.2% in La crescent.
  • Disability percentages are the same in both Smith center and La crescent at 15.0%.

Education Levels

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

Education Level Smith center La crescent
No Schooling 0.2% (3) 0.2% (10)
High School Diploma 29.4% (459) 17.2% (919)
Less than High School 7.6% (118) 6.4% (344)
Bachelor's Degree and Higher 14.8% (231) 25.1% (1,343)

Education Levels Comparison: Smith center vs La crescent

  • The percentage of residents with no formal schooling is the same in both Smith center and La crescent at 0.2%.
  • A higher percentage of residents in Smith center hold a high school diploma at 29.4% compared to 17.2% in La crescent.
  • More residents in Smith center have less than a high school education at 7.6% compared to 6.4% in La crescent.
  • In La crescent, a larger share of residents have a bachelor's degree or higher at 25.1% compared to 14.8% in Smith center.

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.