Demographics details for Tatamy, PA vs Linthicum heights, MD

Population Overview

Compare main population characteristics in Tatamy, PA vs Linthicum heights, MD.

Data Tatamy Linthicum heights
Population 1,369 10,731
Median Age 40.7 years 38.6 years
Median Income $97,857 $116,250
Married Families 36.0% 43.0%
Poverty Level 5% 5%
Unemployment Rate 3.5 3.2

Population Comparison: Tatamy vs Linthicum heights

  • The population in Linthicum heights is higher at 10,731, compared to 1,369 in Tatamy.
  • Residents in Tatamy have a higher median age of 40.7 years compared to 38.6 years in Linthicum heights.
  • Linthicum heights has a higher median income of $116,250, compared to $97,857 in Tatamy.
  • In Linthicum heights, the percentage of married families is higher at 43.0%, compared to 36.0% in Tatamy.
  • The poverty level is identical in both Tatamy and Linthicum heights at 5%.
  • The unemployment rate in Tatamy is higher at 3.5%, compared to 3.2% in Linthicum heights.

Demographics

Demographics Tatamy vs Linthicum heights provide insight into the diversity of the communities to compare.

Demographic Tatamy Linthicum heights
Black 4 6
White 88 82
Asian 1 5
Hispanic 6 3
Two or More Races 1 4
American Indian Data is updating Data is updating

Demographics Comparison: Tatamy vs Linthicum heights

  • In Linthicum heights, the percentage of Black residents is higher at 6% compared to 4% in Tatamy.
  • Tatamy has a higher percentage of White residents at 88% compared to 82% in Linthicum heights.
  • In Linthicum heights, the Asian population stands at 5%, greater than 1% in Tatamy.
  • The Hispanic community is larger in Tatamy at 6% compared to 3% in Linthicum heights.
  • The percentage of residents identifying as two or more races is higher in Linthicum heights at 4%, compared to 1% in Tatamy.
  • The percentage of American Indian residents is the same in both Tatamy and Linthicum heights at 0%.

Health Statistics

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

Health Metric Tatamy Linthicum heights
Mental Health Not Good 15.8% 14.6%
Physical Health Not Good 10.1% 8.6%
Depression 21.9% 20.8%
Smoking 16.2% 11.9%
Binge Drinking 20.3% 18.0%
Obesity 31.0% 33.7%
Disability Percentage 6.0% 11.0%

Health Statistics Comparison: Tatamy vs Linthicum heights

  • More residents in Tatamy report poor mental health at 15.8% compared to 14.6% in Linthicum heights.
  • Depression is more prevalent in Tatamy at 21.9% compared to 20.8% in Linthicum heights.
  • Smoking is more prevalent in Tatamy at 16.2% compared to 11.9% in Linthicum heights.
  • Binge drinking is more common in Tatamy at 20.3% compared to 18.0% in Linthicum heights.
  • Linthicum heights has higher obesity rates at 33.7% compared to 31.0% in Tatamy.
  • There is a higher percentage of disabled individuals in Linthicum heights at 11.0% compared to 6.0% in Tatamy.

Education Levels

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

Education Level Tatamy Linthicum heights
No Schooling 0.0% (Data is updating) 0.5% (59)
High School Diploma 20.2% (277) 13.9% (1,496)
Less than High School 1.9% (26) 8.6% (924)
Bachelor's Degree and Higher 17.1% (234) 28.8% (3,091)

Education Levels Comparison: Tatamy vs Linthicum heights

  • In Linthicum heights, a larger percentage of residents lack formal schooling at 0.5% compared to 0.0% in Tatamy.
  • A higher percentage of residents in Tatamy hold a high school diploma at 20.2% compared to 13.9% in Linthicum heights.
  • The percentage of residents with less than a high school education is higher in Linthicum heights at 8.6%, compared to 1.9% in Tatamy.
  • In Linthicum heights, a larger share of residents have a bachelor's degree or higher at 28.8% compared to 17.1% in Tatamy.

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.