Demographics details for Manhattan, KS vs Lynn haven, FL

Population Overview

Compare main population characteristics in Manhattan, KS vs Lynn haven, FL.

Data Manhattan Lynn haven
Population 53,829 20,044
Median Age 24.7 years 35.4 years
Median Income $55,316 $81,378
Married Families 29.0% 43.0%
Poverty Level 15% 7%
Unemployment Rate 3.8 4.1

Population Comparison: Manhattan vs Lynn haven

  • In Manhattan, the population is higher at 53,829, compared to 20,044 in Lynn haven.
  • The median age in Lynn haven is higher at 35.4 years, compared to 24.7 years in Manhattan.
  • Lynn haven has a higher median income of $81,378, compared to $55,316 in Manhattan.
  • In Lynn haven, the percentage of married families is higher at 43.0%, compared to 29.0% in Manhattan.
  • Manhattan has a higher poverty level at 15% compared to 7% in Lynn haven.
  • Lynn haven has a higher unemployment rate at 4.1% compared to 3.8% in Manhattan.

Demographics

Demographics Manhattan vs Lynn haven provide insight into the diversity of the communities to compare.

Demographic Manhattan Lynn haven
Black 5 8
White 74 73
Asian 5 3
Hispanic 8 8
Two or More Races 7 8
American Indian 1 Data is updating

Demographics Comparison: Manhattan vs Lynn haven

  • In Lynn haven, the percentage of Black residents is higher at 8% compared to 5% in Manhattan.
  • Manhattan has a higher percentage of White residents at 74% compared to 73% in Lynn haven.
  • The Asian population is larger in Manhattan at 5% compared to 3% in Lynn haven.
  • The percentage of Hispanic residents is the same in both Manhattan and Lynn haven at 8%.
  • The percentage of residents identifying as two or more races is higher in Lynn haven at 8%, compared to 7% in Manhattan.
  • A greater percentage of American Indian residents live in Manhattan at 1% compared to 0% in Lynn haven.

Health Statistics

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

Health Metric Manhattan Lynn haven
Mental Health Not Good 15.7% 16.1%
Physical Health Not Good 10.1% 10.4%
Depression 20.2% 21.3%
Smoking 16.0% 18.6%
Binge Drinking 20.6% 16.9%
Obesity 32.2% 28.9%
Disability Percentage 12.0% 14.0%

Health Statistics Comparison: Manhattan vs Lynn haven

  • In Lynn haven, a higher percentage report poor mental health at 16.1% compared to 15.7% in Manhattan.
  • Higher depression rates are seen in Lynn haven at 21.3% versus 20.2% in Manhattan.
  • Lynn haven has a higher smoking rate at 18.6% compared to 16.0% in Manhattan.
  • Binge drinking is more common in Manhattan at 20.6% compared to 16.9% in Lynn haven.
  • Obesity rates are higher in Manhattan at 32.2% compared to 28.9% in Lynn haven.
  • There is a higher percentage of disabled individuals in Lynn haven at 14.0% compared to 12.0% in Manhattan.

Education Levels

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

Education Level Manhattan Lynn haven
No Schooling 0.5% (256) 1.1% (217)
High School Diploma 5.8% (3,138) 11.8% (2,373)
Less than High School 4.2% (2,256) 7.9% (1,576)
Bachelor's Degree and Higher 26.0% (14,017) 19.8% (3,974)

Education Levels Comparison: Manhattan vs Lynn haven

  • In Lynn haven, a larger percentage of residents lack formal schooling at 1.1% compared to 0.5% in Manhattan.
  • In Lynn haven, the rate of residents with high school diplomas is higher at 11.8% compared to 5.8% in Manhattan.
  • The percentage of residents with less than a high school education is higher in Lynn haven at 7.9%, compared to 4.2% in Manhattan.
  • A higher percentage of residents in Manhattan hold a bachelor's degree or higher at 26.0% compared to 19.8% in Lynn haven.

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.