Demographics details for Hattiesburg, MS vs Mountain pine, AR

Population Overview

Compare main population characteristics in Hattiesburg, MS vs Mountain pine, AR.

Data Hattiesburg Mountain pine
Population 48,455 577
Median Age 28.5 years 44.2 years
Median Income $41,024 $28,542
Married Families 23.0% 28.0%
Poverty Level 23% 20%
Unemployment Rate 3.5 4.5

Population Comparison: Hattiesburg vs Mountain pine

  • In Hattiesburg, the population is higher at 48,455, compared to 577 in Mountain pine.
  • The median age in Mountain pine is higher at 44.2 years, compared to 28.5 years in Hattiesburg.
  • Hattiesburg has a higher median income of $41,024 compared to $28,542 in Mountain pine.
  • In Mountain pine, the percentage of married families is higher at 28.0%, compared to 23.0% in Hattiesburg.
  • Hattiesburg has a higher poverty level at 23% compared to 20% in Mountain pine.
  • Mountain pine has a higher unemployment rate at 4.5% compared to 3.5% in Hattiesburg.

Demographics

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

Demographic Hattiesburg Mountain pine
Black 52 8
White 38 85
Asian 1 Data is updating
Hispanic 4 2
Two or More Races 5 5
American Indian Data is updating Data is updating

Demographics Comparison: Hattiesburg vs Mountain pine

  • A higher percentage of Black residents are in Hattiesburg at 52% compared to 8% in Mountain pine.
  • The percentage of White residents is higher in Mountain pine at 85% compared to 38% in Hattiesburg.
  • The Asian population is larger in Hattiesburg at 1% compared to 0% in Mountain pine.
  • The Hispanic community is larger in Hattiesburg at 4% compared to 2% in Mountain pine.
  • Both Hattiesburg and Mountain pine have the same percentage of residents identifying as two or more races at 5%.
  • The percentage of American Indian residents is the same in both Hattiesburg and Mountain pine at 0%.

Health Statistics

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

Health Metric Hattiesburg Mountain pine
Mental Health Not Good 17.3% 20.8%
Physical Health Not Good 13.3% 14.8%
Depression 20.7% 26.8%
Smoking 20.8% 24.8%
Binge Drinking 12.9% 14.8%
Obesity 43.0% 39.5%
Disability Percentage 19.0% 23.0%

Health Statistics Comparison: Hattiesburg vs Mountain pine

  • In Mountain pine, a higher percentage report poor mental health at 20.8% compared to 17.3% in Hattiesburg.
  • Higher depression rates are seen in Mountain pine at 26.8% versus 20.7% in Hattiesburg.
  • Mountain pine has a higher smoking rate at 24.8% compared to 20.8% in Hattiesburg.
  • More residents engage in binge drinking in Mountain pine at 14.8% compared to 12.9% in Hattiesburg.
  • Obesity rates are higher in Hattiesburg at 43.0% compared to 39.5% in Mountain pine.
  • There is a higher percentage of disabled individuals in Mountain pine at 23.0% compared to 19.0% in Hattiesburg.

Education Levels

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

Education Level Hattiesburg Mountain pine
No Schooling 0.7% (362) 0.0% (Data is updating)
High School Diploma 10.4% (5,022) 30.8% (178)
Less than High School 7.5% (3,642) 9.4% (54)
Bachelor's Degree and Higher 20.2% (9,782) 2.9% (17)

Education Levels Comparison: Hattiesburg vs Mountain pine

  • A higher percentage of residents in Hattiesburg have no formal schooling at 0.7% 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 10.4% in Hattiesburg.
  • The percentage of residents with less than a high school education is higher in Mountain pine at 9.4%, compared to 7.5% in Hattiesburg.
  • A higher percentage of residents in Hattiesburg hold a bachelor's degree or higher at 20.2% 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.