Demographics details for North miami beach, FL vs Patoka, IL

Population Overview

Compare main population characteristics in North miami beach, FL vs Patoka, IL.

Data North miami beach Patoka
Population 43,023 512
Median Age 38.1 years 39.2 years
Median Income $56,122 $69,091
Married Families 34.0% 54.0%
Poverty Level 13% 10%
Unemployment Rate 2.7 5.0

Population Comparison: North miami beach vs Patoka

  • In North miami beach, the population is higher at 43,023, compared to 512 in Patoka.
  • The median age in Patoka is higher at 39.2 years, compared to 38.1 years in North miami beach.
  • Patoka has a higher median income of $69,091, compared to $56,122 in North miami beach.
  • In Patoka, the percentage of married families is higher at 54.0%, compared to 34.0% in North miami beach.
  • North miami beach has a higher poverty level at 13% compared to 10% in Patoka.
  • Patoka has a higher unemployment rate at 5.0% compared to 2.7% in North miami beach.

Demographics

Demographics North miami beach vs Patoka provide insight into the diversity of the communities to compare.

Demographic North miami beach Patoka
Black 39 Data is updating
White Data is updating 98
Asian 2 1
Hispanic 41 Data is updating
Two or More Races 18 1
American Indian Data is updating Data is updating

Demographics Comparison: North miami beach vs Patoka

  • A higher percentage of Black residents are in North miami beach at 39% compared to 0% in Patoka.
  • The percentage of White residents is higher in Patoka at 98% compared to 0% in North miami beach.
  • The Asian population is larger in North miami beach at 2% compared to 1% in Patoka.
  • The Hispanic community is larger in North miami beach at 41% compared to 0% in Patoka.
  • More residents identify as two or more races in North miami beach at 18% compared to 1% in Patoka.
  • The percentage of American Indian residents is the same in both North miami beach and Patoka at 0%.

Health Statistics

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

Health Metric North miami beach Patoka
Mental Health Not Good 16.3% 16.8%
Physical Health Not Good 12.4% 11.2%
Depression 16.0% 23.2%
Smoking 18.1% 17.8%
Binge Drinking 13.3% 18.6%
Obesity 31.2% 37.4%
Disability Percentage 9.0% 21.0%

Health Statistics Comparison: North miami beach vs Patoka

  • In Patoka, a higher percentage report poor mental health at 16.8% compared to 16.3% in North miami beach.
  • Higher depression rates are seen in Patoka at 23.2% versus 16.0% in North miami beach.
  • Smoking is more prevalent in North miami beach at 18.1% compared to 17.8% in Patoka.
  • More residents engage in binge drinking in Patoka at 18.6% compared to 13.3% in North miami beach.
  • Patoka has higher obesity rates at 37.4% compared to 31.2% in North miami beach.
  • There is a higher percentage of disabled individuals in Patoka at 21.0% compared to 9.0% in North miami beach.

Education Levels

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

Education Level North miami beach Patoka
No Schooling 2.6% (1,113) 0.6% (3)
High School Diploma 19.5% (8,380) 32.8% (168)
Less than High School 15.1% (6,498) 6.6% (34)
Bachelor's Degree and Higher 18.3% (7,889) 11.1% (57)

Education Levels Comparison: North miami beach vs Patoka

  • A higher percentage of residents in North miami beach have no formal schooling at 2.6% compared to 0.6% in Patoka.
  • In Patoka, the rate of residents with high school diplomas is higher at 32.8% compared to 19.5% in North miami beach.
  • More residents in North miami beach have less than a high school education at 15.1% compared to 6.6% in Patoka.
  • A higher percentage of residents in North miami beach hold a bachelor's degree or higher at 18.3% compared to 11.1% in Patoka.

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.