Demographics details for Baltimore, MD vs Brownsville, TX

Population Overview

Compare main population characteristics in Baltimore, MD vs Brownsville, TX.

Data Baltimore Brownsville
Population 569,931 189,382
Median Age 36.0 years 30.7 years
Median Income $58,349 $46,735
Married Families 23.0% 35.0%
Poverty Level 16% 23%
Unemployment Rate 4.3 6.4

Population Comparison: Baltimore vs Brownsville

  • In Baltimore, the population is higher at 569,931, compared to 189,382 in Brownsville.
  • Residents in Baltimore have a higher median age of 36.0 years compared to 30.7 years in Brownsville.
  • Baltimore has a higher median income of $58,349 compared to $46,735 in Brownsville.
  • In Brownsville, the percentage of married families is higher at 35.0%, compared to 23.0% in Baltimore.
  • The poverty level is higher in Brownsville at 23%, compared to 16% in Baltimore.
  • Brownsville has a higher unemployment rate at 6.4% compared to 4.3% in Baltimore.

Demographics

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

Demographic Baltimore Brownsville
Black 63 Data is updating
White 23 -26
Asian 3 1
Hispanic 6 93
Two or More Races 5 32
American Indian Data is updating Data is updating

Demographics Comparison: Baltimore vs Brownsville

  • A higher percentage of Black residents are in Baltimore at 63% compared to 0% in Brownsville.
  • Baltimore has a higher percentage of White residents at 23% compared to -26% in Brownsville.
  • The Asian population is larger in Baltimore at 3% compared to 1% in Brownsville.
  • Brownsville has a higher percentage of Hispanic residents at 93%, compared to 6% in Baltimore.
  • The percentage of residents identifying as two or more races is higher in Brownsville at 32%, compared to 5% in Baltimore.
  • The percentage of American Indian residents is the same in both Baltimore and Brownsville at 0%.

Health Statistics

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

Health Metric Baltimore Brownsville
Mental Health Not Good 17.9% 17.9%
Physical Health Not Good 12.3% 15.8%
Depression 20.2% 19.8%
Smoking 19.8% 16.7%
Binge Drinking 15.4% 15.7%
Obesity 37.1% 45.3%
Disability Percentage 16.0% 10.0%

Health Statistics Comparison: Baltimore vs Brownsville

  • Poor mental health levels are equal in both Baltimore and Brownsville at 17.9%.
  • Depression is more prevalent in Baltimore at 20.2% compared to 19.8% in Brownsville.
  • Smoking is more prevalent in Baltimore at 19.8% compared to 16.7% in Brownsville.
  • More residents engage in binge drinking in Brownsville at 15.7% compared to 15.4% in Baltimore.
  • Brownsville has higher obesity rates at 45.3% compared to 37.1% in Baltimore.
  • Disability percentages are higher in Baltimore at 16.0% compared to 10.0% in Brownsville.

Education Levels

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

Education Level Baltimore Brownsville
No Schooling 1.2% (6,683) 2.8% (5,275)
High School Diploma 16.8% (95,744) 11.6% (21,963)
Less than High School 11.9% (67,970) 35.5% (67,319)
Bachelor's Degree and Higher 25.1% (143,174) 12.0% (22,792)

Education Levels Comparison: Baltimore vs Brownsville

  • In Brownsville, a larger percentage of residents lack formal schooling at 2.8% compared to 1.2% in Baltimore.
  • A higher percentage of residents in Baltimore hold a high school diploma at 16.8% compared to 11.6% in Brownsville.
  • The percentage of residents with less than a high school education is higher in Brownsville at 35.5%, 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 12.0% in Brownsville.

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.