Demographics details for Manchester, NH vs Deerfield beach, FL

Population Overview

Compare main population characteristics in Manchester, NH vs Deerfield beach, FL.

Data Manchester Deerfield beach
Population 115,141 86,772
Median Age 37.0 years 43.5 years
Median Income $74,040 $53,741
Married Families 34.0% 35.0%
Poverty Level 10% 12%
Unemployment Rate 2.6 3.2

Population Comparison: Manchester vs Deerfield beach

  • In Manchester, the population is higher at 115,141, compared to 86,772 in Deerfield beach.
  • The median age in Deerfield beach is higher at 43.5 years, compared to 37.0 years in Manchester.
  • Manchester has a higher median income of $74,040 compared to $53,741 in Deerfield beach.
  • In Deerfield beach, the percentage of married families is higher at 35.0%, compared to 34.0% in Manchester.
  • The poverty level is higher in Deerfield beach at 12%, compared to 10% in Manchester.
  • Deerfield beach has a higher unemployment rate at 3.2% compared to 2.6% in Manchester.

Demographics

Demographics Manchester vs Deerfield beach provide insight into the diversity of the communities to compare.

Demographic Manchester Deerfield beach
Black 6 24
White 68 33
Asian 5 2
Hispanic 12 24
Two or More Races 9 17
American Indian Data is updating Data is updating

Demographics Comparison: Manchester vs Deerfield beach

  • In Deerfield beach, the percentage of Black residents is higher at 24% compared to 6% in Manchester.
  • Manchester has a higher percentage of White residents at 68% compared to 33% in Deerfield beach.
  • The Asian population is larger in Manchester at 5% compared to 2% in Deerfield beach.
  • Deerfield beach has a higher percentage of Hispanic residents at 24%, compared to 12% in Manchester.
  • The percentage of residents identifying as two or more races is higher in Deerfield beach at 17%, compared to 9% in Manchester.
  • The percentage of American Indian residents is the same in both Manchester and Deerfield beach at 0%.

Health Statistics

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

Health Metric Manchester Deerfield beach
Mental Health Not Good 16.4% 16.6%
Physical Health Not Good 10.5% 11.6%
Depression 24.5% 18.5%
Smoking 17.3% 19.8%
Binge Drinking 14.6% 15.1%
Obesity 35.9% 30.3%
Disability Percentage 14.0% 14.0%

Health Statistics Comparison: Manchester vs Deerfield beach

  • In Deerfield beach, a higher percentage report poor mental health at 16.6% compared to 16.4% in Manchester.
  • Depression is more prevalent in Manchester at 24.5% compared to 18.5% in Deerfield beach.
  • Deerfield beach has a higher smoking rate at 19.8% compared to 17.3% in Manchester.
  • More residents engage in binge drinking in Deerfield beach at 15.1% compared to 14.6% in Manchester.
  • Obesity rates are higher in Manchester at 35.9% compared to 30.3% in Deerfield beach.
  • Disability percentages are the same in both Manchester and Deerfield beach at 14.0%.

Education Levels

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

Education Level Manchester Deerfield beach
No Schooling 1.1% (1,316) 1.8% (1,563)
High School Diploma 17.0% (19,519) 18.7% (16,205)
Less than High School 15.1% (17,348) 18.3% (15,908)
Bachelor's Degree and Higher 23.1% (26,548) 20.3% (17,606)

Education Levels Comparison: Manchester vs Deerfield beach

  • In Deerfield beach, a larger percentage of residents lack formal schooling at 1.8% compared to 1.1% in Manchester.
  • In Deerfield beach, the rate of residents with high school diplomas is higher at 18.7% compared to 17.0% in Manchester.
  • The percentage of residents with less than a high school education is higher in Deerfield beach at 18.3%, compared to 15.1% in Manchester.
  • A higher percentage of residents in Manchester hold a bachelor's degree or higher at 23.1% compared to 20.3% in Deerfield beach.

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.