Demographics details for Montgomery, NY vs Booneville, MS

Population Overview

Compare main population characteristics in Montgomery, NY vs Booneville, MS.

Data Montgomery Booneville
Population 49,623 8,978
Median Age 40.6 years 34.5 years
Median Income $58,033 $48,655
Married Families 34.0% 31.0%
Poverty Level 10% 20%
Unemployment Rate 4.2 4.8

Population Comparison: Montgomery vs Booneville

  • In Montgomery, the population is higher at 49,623, compared to 8,978 in Booneville.
  • Residents in Montgomery have a higher median age of 40.6 years compared to 34.5 years in Booneville.
  • Montgomery has a higher median income of $58,033 compared to $48,655 in Booneville.
  • A higher percentage of married families is found in Montgomery at 34.0% compared to 31.0% in Booneville.
  • The poverty level is higher in Booneville at 20%, compared to 10% in Montgomery.
  • Booneville has a higher unemployment rate at 4.8% compared to 4.2% in Montgomery.

Demographics

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

Demographic Montgomery Booneville
Black 3 17
White 74 76
Asian 1 1
Hispanic 15 1
Two or More Races 6 5
American Indian 1 Data is updating

Demographics Comparison: Montgomery vs Booneville

  • In Booneville, the percentage of Black residents is higher at 17% compared to 3% in Montgomery.
  • The percentage of White residents is higher in Booneville at 76% compared to 74% in Montgomery.
  • Both Montgomery and Booneville have the same percentage of Asian residents at 1%.
  • The Hispanic community is larger in Montgomery at 15% compared to 1% in Booneville.
  • More residents identify as two or more races in Montgomery at 6% compared to 5% in Booneville.
  • A greater percentage of American Indian residents live in Montgomery at 1% compared to 0% in Booneville.

Health Statistics

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

Health Metric Montgomery Booneville
Mental Health Not Good 16.7% 19.8%
Physical Health Not Good 12.3% 15.2%
Depression 23.2% 25.5%
Smoking 20.4% 24.7%
Binge Drinking 17.8% 13.2%
Obesity 35.8% 43.5%
Disability Percentage 16.0% 16.0%

Health Statistics Comparison: Montgomery vs Booneville

  • In Booneville, a higher percentage report poor mental health at 19.8% compared to 16.7% in Montgomery.
  • Higher depression rates are seen in Booneville at 25.5% versus 23.2% in Montgomery.
  • Booneville has a higher smoking rate at 24.7% compared to 20.4% in Montgomery.
  • Binge drinking is more common in Montgomery at 17.8% compared to 13.2% in Booneville.
  • Booneville has higher obesity rates at 43.5% compared to 35.8% in Montgomery.
  • Disability percentages are the same in both Montgomery and Booneville at 16.0%.

Education Levels

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

Education Level Montgomery Booneville
No Schooling 1.1% (540) 0.3% (27)
High School Diploma 20.6% (10,235) 13.3% (1,197)
Less than High School 14.9% (7,375) 14.4% (1,292)
Bachelor's Degree and Higher 13.7% (6,785) 16.5% (1,485)

Education Levels Comparison: Montgomery vs Booneville

  • A higher percentage of residents in Montgomery have no formal schooling at 1.1% compared to 0.3% in Booneville.
  • A higher percentage of residents in Montgomery hold a high school diploma at 20.6% compared to 13.3% in Booneville.
  • More residents in Montgomery have less than a high school education at 14.9% compared to 14.4% in Booneville.
  • In Booneville, a larger share of residents have a bachelor's degree or higher at 16.5% compared to 13.7% in Montgomery.

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.