Demographics details for Deerfield beach, FL vs New holland, OH

Population Overview

Compare main population characteristics in Deerfield beach, FL vs New holland, OH.

Data Deerfield beach New holland
Population 86,772 822
Median Age 43.5 years 40.4 years
Median Income $53,741 $44,167
Married Families 35.0% 35.0%
Poverty Level 12% 12%
Unemployment Rate 3.2 4.2

Population Comparison: Deerfield beach vs New holland

  • In Deerfield beach, the population is higher at 86,772, compared to 822 in New holland.
  • Residents in Deerfield beach have a higher median age of 43.5 years compared to 40.4 years in New holland.
  • Deerfield beach has a higher median income of $53,741 compared to $44,167 in New holland.
  • The percentage of married families is the same in both Deerfield beach and New holland at 35.0%.
  • The poverty level is identical in both Deerfield beach and New holland at 12%.
  • New holland has a higher unemployment rate at 4.2% compared to 3.2% in Deerfield beach.

Demographics

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

Demographic Deerfield beach New holland
Black 24 2
White 33 93
Asian 2 Data is updating
Hispanic 24 2
Two or More Races 17 3
American Indian Data is updating Data is updating

Demographics Comparison: Deerfield beach vs New holland

  • A higher percentage of Black residents are in Deerfield beach at 24% compared to 2% in New holland.
  • The percentage of White residents is higher in New holland at 93% compared to 33% in Deerfield beach.
  • The Asian population is larger in Deerfield beach at 2% compared to 0% in New holland.
  • The Hispanic community is larger in Deerfield beach at 24% compared to 2% in New holland.
  • More residents identify as two or more races in Deerfield beach at 17% compared to 3% in New holland.
  • The percentage of American Indian residents is the same in both Deerfield beach and New holland at 0%.

Health Statistics

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

Health Metric Deerfield beach New holland
Mental Health Not Good 16.6% 17.6%
Physical Health Not Good 11.6% 12.0%
Depression 18.5% 24.3%
Smoking 19.8% 21.3%
Binge Drinking 15.1% 18.8%
Obesity 30.3% 41.8%
Disability Percentage 14.0% 24.0%

Health Statistics Comparison: Deerfield beach vs New holland

  • In New holland, a higher percentage report poor mental health at 17.6% compared to 16.6% in Deerfield beach.
  • Higher depression rates are seen in New holland at 24.3% versus 18.5% in Deerfield beach.
  • New holland has a higher smoking rate at 21.3% compared to 19.8% in Deerfield beach.
  • More residents engage in binge drinking in New holland at 18.8% compared to 15.1% in Deerfield beach.
  • New holland has higher obesity rates at 41.8% compared to 30.3% in Deerfield beach.
  • There is a higher percentage of disabled individuals in New holland at 24.0% compared to 14.0% in Deerfield beach.

Education Levels

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

Education Level Deerfield beach New holland
No Schooling 1.8% (1,563) 1.0% (8)
High School Diploma 18.7% (16,205) 25.2% (207)
Less than High School 18.3% (15,908) 30.2% (248)
Bachelor's Degree and Higher 20.3% (17,606) 5.2% (43)

Education Levels Comparison: Deerfield beach vs New holland

  • A higher percentage of residents in Deerfield beach have no formal schooling at 1.8% compared to 1.0% in New holland.
  • In New holland, the rate of residents with high school diplomas is higher at 25.2% compared to 18.7% in Deerfield beach.
  • The percentage of residents with less than a high school education is higher in New holland at 30.2%, compared to 18.3% in Deerfield beach.
  • A higher percentage of residents in Deerfield beach hold a bachelor's degree or higher at 20.3% compared to 5.2% in New holland.

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.