Demographics details for Montgomery, AL vs Mountain pine, AR

Population Overview

Compare main population characteristics in Montgomery, AL vs Mountain pine, AR.

Data Montgomery Mountain pine
Population 196,986 577
Median Age 36.1 years 44.2 years
Median Income $54,166 $28,542
Married Families 28.0% 28.0%
Poverty Level 15% 20%
Unemployment Rate 3.2 4.5

Population Comparison: Montgomery vs Mountain pine

  • In Montgomery, the population is higher at 196,986, compared to 577 in Mountain pine.
  • The median age in Mountain pine is higher at 44.2 years, compared to 36.1 years in Montgomery.
  • Montgomery has a higher median income of $54,166 compared to $28,542 in Mountain pine.
  • The percentage of married families is the same in both Montgomery and Mountain pine at 28.0%.
  • The poverty level is higher in Mountain pine at 20%, compared to 15% in Montgomery.
  • Mountain pine has a higher unemployment rate at 4.5% compared to 3.2% in Montgomery.

Demographics

Demographics Montgomery vs Mountain pine provide insight into the diversity of the communities to compare.

Demographic Montgomery Mountain pine
Black 64 8
White 25 85
Asian 4 Data is updating
Hispanic 4 2
Two or More Races 3 5
American Indian Data is updating Data is updating

Demographics Comparison: Montgomery vs Mountain pine

  • A higher percentage of Black residents are in Montgomery at 64% compared to 8% in Mountain pine.
  • The percentage of White residents is higher in Mountain pine at 85% compared to 25% in Montgomery.
  • The Asian population is larger in Montgomery at 4% compared to 0% in Mountain pine.
  • The Hispanic community is larger in Montgomery at 4% compared to 2% in Mountain pine.
  • The percentage of residents identifying as two or more races is higher in Mountain pine at 5%, compared to 3% in Montgomery.
  • The percentage of American Indian residents is the same in both Montgomery and Mountain pine at 0%.

Health Statistics

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

Health Metric Montgomery Mountain pine
Mental Health Not Good 18.8% 20.8%
Physical Health Not Good 13.3% 14.8%
Depression 20.2% 26.8%
Smoking 18.9% 24.8%
Binge Drinking 14.2% 14.8%
Obesity 38.4% 39.5%
Disability Percentage 17.0% 23.0%

Health Statistics Comparison: Montgomery vs Mountain pine

  • In Mountain pine, a higher percentage report poor mental health at 20.8% compared to 18.8% in Montgomery.
  • Higher depression rates are seen in Mountain pine at 26.8% versus 20.2% in Montgomery.
  • Mountain pine has a higher smoking rate at 24.8% compared to 18.9% in Montgomery.
  • More residents engage in binge drinking in Mountain pine at 14.8% compared to 14.2% in Montgomery.
  • Mountain pine has higher obesity rates at 39.5% compared to 38.4% in Montgomery.
  • There is a higher percentage of disabled individuals in Mountain pine at 23.0% compared to 17.0% in Montgomery.

Education Levels

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

Education Level Montgomery Mountain pine
No Schooling 0.8% (1,627) 0.0% (Data is updating)
High School Diploma 14.0% (27,586) 30.8% (178)
Less than High School 10.0% (19,602) 9.4% (54)
Bachelor's Degree and Higher 22.1% (43,498) 2.9% (17)

Education Levels Comparison: Montgomery vs Mountain pine

  • A higher percentage of residents in Montgomery have no formal schooling at 0.8% compared to 0.0% in Mountain pine.
  • In Mountain pine, the rate of residents with high school diplomas is higher at 30.8% compared to 14.0% in Montgomery.
  • More residents in Montgomery have less than a high school education at 10.0% compared to 9.4% in Mountain pine.
  • A higher percentage of residents in Montgomery hold a bachelor's degree or higher at 22.1% compared to 2.9% in Mountain pine.

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.