Demographics details for Pinellas park, FL vs Smith center, KS

Population Overview

Compare main population characteristics in Pinellas park, FL vs Smith center, KS.

Data Pinellas park Smith center
Population 53,653 1,561
Median Age 43.9 years 46.6 years
Median Income $62,306 $49,444
Married Families 38.0% 43.0%
Poverty Level 10% 10%
Unemployment Rate 3.3 3.2

Population Comparison: Pinellas park vs Smith center

  • In Pinellas park, the population is higher at 53,653, compared to 1,561 in Smith center.
  • The median age in Smith center is higher at 46.6 years, compared to 43.9 years in Pinellas park.
  • Pinellas park has a higher median income of $62,306 compared to $49,444 in Smith center.
  • In Smith center, the percentage of married families is higher at 43.0%, compared to 38.0% in Pinellas park.
  • The poverty level is identical in both Pinellas park and Smith center at 10%.
  • The unemployment rate in Pinellas park is higher at 3.3%, compared to 3.2% in Smith center.

Demographics

Demographics Pinellas park vs Smith center provide insight into the diversity of the communities to compare.

Demographic Pinellas park Smith center
Black 6 1
White 62 94
Asian 11 Data is updating
Hispanic 13 3
Two or More Races 8 2
American Indian Data is updating Data is updating

Demographics Comparison: Pinellas park vs Smith center

  • A higher percentage of Black residents are in Pinellas park at 6% compared to 1% in Smith center.
  • The percentage of White residents is higher in Smith center at 94% compared to 62% in Pinellas park.
  • The Asian population is larger in Pinellas park at 11% compared to 0% in Smith center.
  • The Hispanic community is larger in Pinellas park at 13% compared to 3% in Smith center.
  • More residents identify as two or more races in Pinellas park at 8% compared to 2% in Smith center.
  • The percentage of American Indian residents is the same in both Pinellas park and Smith center at 0%.

Health Statistics

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

Health Metric Pinellas park Smith center
Mental Health Not Good 16.8% 16.7%
Physical Health Not Good 11.5% 10.8%
Depression 19.6% 21.7%
Smoking 22.3% 19.2%
Binge Drinking 17.1% 19.0%
Obesity 27.8% 38.8%
Disability Percentage 17.0% 15.0%

Health Statistics Comparison: Pinellas park vs Smith center

  • More residents in Pinellas park report poor mental health at 16.8% compared to 16.7% in Smith center.
  • Higher depression rates are seen in Smith center at 21.7% versus 19.6% in Pinellas park.
  • Smoking is more prevalent in Pinellas park at 22.3% compared to 19.2% in Smith center.
  • More residents engage in binge drinking in Smith center at 19.0% compared to 17.1% in Pinellas park.
  • Smith center has higher obesity rates at 38.8% compared to 27.8% in Pinellas park.
  • Disability percentages are higher in Pinellas park at 17.0% compared to 15.0% in Smith center.

Education Levels

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

Education Level Pinellas park Smith center
No Schooling 2.6% (1,420) 0.2% (3)
High School Diploma 17.5% (9,393) 29.4% (459)
Less than High School 19.3% (10,338) 7.6% (118)
Bachelor's Degree and Higher 17.9% (9,620) 14.8% (231)

Education Levels Comparison: Pinellas park vs Smith center

  • A higher percentage of residents in Pinellas park have no formal schooling at 2.6% compared to 0.2% in Smith center.
  • In Smith center, the rate of residents with high school diplomas is higher at 29.4% compared to 17.5% in Pinellas park.
  • More residents in Pinellas park have less than a high school education at 19.3% compared to 7.6% in Smith center.
  • A higher percentage of residents in Pinellas park hold a bachelor's degree or higher at 17.9% 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.