Demographics details for New tripoli, PA vs Laurel, MT

Population Overview

Compare main population characteristics in New tripoli, PA vs Laurel, MT.

Data New tripoli Laurel
Population 898 7,203
Median Age 42.0 years 36.5 years
Median Income $80,000 $62,250
Married Families 60.0% 37.0%
Poverty Level 5% 7%
Unemployment Rate 3.5 3.5

Population Comparison: New tripoli vs Laurel

  • The population in Laurel is higher at 7,203, compared to 898 in New tripoli.
  • Residents in New tripoli have a higher median age of 42.0 years compared to 36.5 years in Laurel.
  • New tripoli has a higher median income of $80,000 compared to $62,250 in Laurel.
  • A higher percentage of married families is found in New tripoli at 60.0% compared to 37.0% in Laurel.
  • The poverty level is higher in Laurel at 7%, compared to 5% in New tripoli.
  • The unemployment rate is the same in both New tripoli and Laurel at 3.5%.

Demographics

Demographics New tripoli vs Laurel provide insight into the diversity of the communities to compare.

Demographic New tripoli Laurel
Black Data is updating Data is updating
White 100 83
Asian Data is updating 2
Hispanic Data is updating 7
Two or More Races Data is updating 7
American Indian Data is updating 1

Demographics Comparison: New tripoli vs Laurel

  • The percentage of Black residents is the same in both New tripoli and Laurel at 0%.
  • New tripoli has a higher percentage of White residents at 100% compared to 83% in Laurel.
  • In Laurel, the Asian population stands at 2%, greater than 0% in New tripoli.
  • Laurel has a higher percentage of Hispanic residents at 7%, compared to 0% in New tripoli.
  • The percentage of residents identifying as two or more races is higher in Laurel at 7%, compared to 0% in New tripoli.
  • In Laurel, the percentage of American Indian residents is higher at 1%, compared to 0% in New tripoli.

Health Statistics

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

Health Metric New tripoli Laurel
Mental Health Not Good Data is updating% 16.4%
Physical Health Not Good Data is updating% 10.8%
Depression Data is updating% 27.8%
Smoking Data is updating% 15.8%
Binge Drinking Data is updating% 23.8%
Obesity Data is updating% 32.2%
Disability Percentage Data is updating% 13.0%

Health Statistics Comparison: New tripoli vs Laurel

  • In Laurel, a higher percentage report poor mental health at 16.4% compared to 0.0% in New tripoli.
  • Higher depression rates are seen in Laurel at 27.8% versus 0.0% in New tripoli.
  • Laurel has a higher smoking rate at 15.8% compared to 0.0% in New tripoli.
  • More residents engage in binge drinking in Laurel at 23.8% compared to 0.0% in New tripoli.
  • Laurel has higher obesity rates at 32.2% compared to 0.0% in New tripoli.
  • There is a higher percentage of disabled individuals in Laurel at 13.0% compared to 0.0% in New tripoli.

Education Levels

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

Education Level New tripoli Laurel
No Schooling 0.0% (Data is updating) 0.2% (14)
High School Diploma 0.0% (Data is updating) 21.7% (1,563)
Less than High School 0.0% (Data is updating) 7.7% (556)
Bachelor's Degree and Higher 0.0% (Data is updating) 10.8% (780)

Education Levels Comparison: New tripoli vs Laurel

  • In Laurel, a larger percentage of residents lack formal schooling at 0.2% compared to 0.0% in New tripoli.
  • In Laurel, the rate of residents with high school diplomas is higher at 21.7% compared to 0.0% in New tripoli.
  • The percentage of residents with less than a high school education is higher in Laurel at 7.7%, compared to 0.0% in New tripoli.
  • In Laurel, a larger share of residents have a bachelor's degree or higher at 10.8% compared to 0.0% in New tripoli.

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.