Demographics details for Baltimore, MD vs Deerfield beach, FL

Population Overview

Compare main population characteristics in Baltimore, MD vs Deerfield beach, FL.

Data Baltimore Deerfield beach
Population 569,931 86,772
Median Age 36.0 years 43.5 years
Median Income $58,349 $53,741
Married Families 23.0% 35.0%
Poverty Level 16% 12%
Unemployment Rate 4.3 3.2

Population Comparison: Baltimore vs Deerfield beach

  • In Baltimore, the population is higher at 569,931, compared to 86,772 in Deerfield beach.
  • The median age in Deerfield beach is higher at 43.5 years, compared to 36.0 years in Baltimore.
  • Baltimore has a higher median income of $58,349 compared to $53,741 in Deerfield beach.
  • In Deerfield beach, the percentage of married families is higher at 35.0%, compared to 23.0% in Baltimore.
  • Baltimore has a higher poverty level at 16% compared to 12% in Deerfield beach.
  • The unemployment rate in Baltimore is higher at 4.3%, compared to 3.2% in Deerfield beach.

Demographics

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

Demographic Baltimore Deerfield beach
Black 63 24
White 23 33
Asian 3 2
Hispanic 6 24
Two or More Races 5 17
American Indian Data is updating Data is updating

Demographics Comparison: Baltimore vs Deerfield beach

  • A higher percentage of Black residents are in Baltimore at 63% compared to 24% in Deerfield beach.
  • The percentage of White residents is higher in Deerfield beach at 33% compared to 23% in Baltimore.
  • The Asian population is larger in Baltimore at 3% compared to 2% in Deerfield beach.
  • Deerfield beach has a higher percentage of Hispanic residents at 24%, compared to 6% in Baltimore.
  • The percentage of residents identifying as two or more races is higher in Deerfield beach at 17%, compared to 5% in Baltimore.
  • The percentage of American Indian residents is the same in both Baltimore and Deerfield beach at 0%.

Health Statistics

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

Health Metric Baltimore Deerfield beach
Mental Health Not Good 17.9% 16.6%
Physical Health Not Good 12.3% 11.6%
Depression 20.2% 18.5%
Smoking 19.8% 19.8%
Binge Drinking 15.4% 15.1%
Obesity 37.1% 30.3%
Disability Percentage 16.0% 14.0%

Health Statistics Comparison: Baltimore vs Deerfield beach

  • More residents in Baltimore report poor mental health at 17.9% compared to 16.6% in Deerfield beach.
  • Depression is more prevalent in Baltimore at 20.2% compared to 18.5% in Deerfield beach.
  • Smoking rates are the same in both Baltimore and Deerfield beach at 19.8%.
  • Binge drinking is more common in Baltimore at 15.4% compared to 15.1% in Deerfield beach.
  • Obesity rates are higher in Baltimore at 37.1% compared to 30.3% in Deerfield beach.
  • Disability percentages are higher in Baltimore at 16.0% 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 Baltimore Deerfield beach
No Schooling 1.2% (6,683) 1.8% (1,563)
High School Diploma 16.8% (95,744) 18.7% (16,205)
Less than High School 11.9% (67,970) 18.3% (15,908)
Bachelor's Degree and Higher 25.1% (143,174) 20.3% (17,606)

Education Levels Comparison: Baltimore vs Deerfield beach

  • In Deerfield beach, a larger percentage of residents lack formal schooling at 1.8% compared to 1.2% in Baltimore.
  • In Deerfield beach, the rate of residents with high school diplomas is higher at 18.7% compared to 16.8% in Baltimore.
  • The percentage of residents with less than a high school education is higher in Deerfield beach at 18.3%, compared to 11.9% in Baltimore.
  • A higher percentage of residents in Baltimore hold a bachelor's degree or higher at 25.1% 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.