Demographics details for Palm bay, FL vs Fleischmanns, NY

Population Overview

Compare main population characteristics in Palm bay, FL vs Fleischmanns, NY.

Data Palm bay Fleischmanns
Population 129,234 230
Median Age 41.8 years 49.5 years
Median Income $62,538 $60,417
Married Families 37.0% 40.0%
Poverty Level 10% 10%
Unemployment Rate 4.0 3.4

Population Comparison: Palm bay vs Fleischmanns

  • In Palm bay, the population is higher at 129,234, compared to 230 in Fleischmanns.
  • The median age in Fleischmanns is higher at 49.5 years, compared to 41.8 years in Palm bay.
  • Palm bay has a higher median income of $62,538 compared to $60,417 in Fleischmanns.
  • In Fleischmanns, the percentage of married families is higher at 40.0%, compared to 37.0% in Palm bay.
  • The poverty level is identical in both Palm bay and Fleischmanns at 10%.
  • The unemployment rate in Palm bay is higher at 4.0%, compared to 3.4% in Fleischmanns.

Demographics

Demographics Palm bay vs Fleischmanns provide insight into the diversity of the communities to compare.

Demographic Palm bay Fleischmanns
Black 18 Data is updating
White 51 54
Asian 2 Data is updating
Hispanic 17 35
Two or More Races 12 7
American Indian Data is updating 4

Demographics Comparison: Palm bay vs Fleischmanns

  • A higher percentage of Black residents are in Palm bay at 18% compared to 0% in Fleischmanns.
  • The percentage of White residents is higher in Fleischmanns at 54% compared to 51% in Palm bay.
  • The Asian population is larger in Palm bay at 2% compared to 0% in Fleischmanns.
  • Fleischmanns has a higher percentage of Hispanic residents at 35%, compared to 17% in Palm bay.
  • More residents identify as two or more races in Palm bay at 12% compared to 7% in Fleischmanns.
  • In Fleischmanns, the percentage of American Indian residents is higher at 4%, compared to 0% in Palm bay.

Health Statistics

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

Health Metric Palm bay Fleischmanns
Mental Health Not Good 16.8% 16.6%
Physical Health Not Good 11.5% 12.2%
Depression 20.3% 23.7%
Smoking 19.6% 19.5%
Binge Drinking 15.8% 17.0%
Obesity 34.9% 35.0%
Disability Percentage 16.0% 24.0%

Health Statistics Comparison: Palm bay vs Fleischmanns

  • More residents in Palm bay report poor mental health at 16.8% compared to 16.6% in Fleischmanns.
  • Higher depression rates are seen in Fleischmanns at 23.7% versus 20.3% in Palm bay.
  • Smoking is more prevalent in Palm bay at 19.6% compared to 19.5% in Fleischmanns.
  • More residents engage in binge drinking in Fleischmanns at 17.0% compared to 15.8% in Palm bay.
  • Fleischmanns has higher obesity rates at 35.0% compared to 34.9% in Palm bay.
  • There is a higher percentage of disabled individuals in Fleischmanns at 24.0% compared to 16.0% in Palm bay.

Education Levels

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

Education Level Palm bay Fleischmanns
No Schooling 0.9% (1,215) 4.3% (10)
High School Diploma 17.2% (22,173) 20.0% (46)
Less than High School 11.5% (14,805) 21.7% (50)
Bachelor's Degree and Higher 14.6% (18,880) 37.0% (85)

Education Levels Comparison: Palm bay vs Fleischmanns

  • In Fleischmanns, a larger percentage of residents lack formal schooling at 4.3% compared to 0.9% in Palm bay.
  • In Fleischmanns, the rate of residents with high school diplomas is higher at 20.0% compared to 17.2% in Palm bay.
  • The percentage of residents with less than a high school education is higher in Fleischmanns at 21.7%, compared to 11.5% in Palm bay.
  • In Fleischmanns, a larger share of residents have a bachelor's degree or higher at 37.0% compared to 14.6% in Palm bay.

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.