Demographics details for Montgomery village, MD vs Rincon, GA

Population Overview

Compare main population characteristics in Montgomery village, MD vs Rincon, GA.

Data Montgomery village Rincon
Population 34,748 11,248
Median Age 36.8 years 31.4 years
Median Income $91,703 $73,708
Married Families 38.0% 41.0%
Poverty Level 7% 9%
Unemployment Rate 4.2 4.0

Population Comparison: Montgomery village vs Rincon

  • In Montgomery village, the population is higher at 34,748, compared to 11,248 in Rincon.
  • Residents in Montgomery village have a higher median age of 36.8 years compared to 31.4 years in Rincon.
  • Montgomery village has a higher median income of $91,703 compared to $73,708 in Rincon.
  • In Rincon, the percentage of married families is higher at 41.0%, compared to 38.0% in Montgomery village.
  • The poverty level is higher in Rincon at 9%, compared to 7% in Montgomery village.
  • The unemployment rate in Montgomery village is higher at 4.2%, compared to 4.0% in Rincon.

Demographics

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

Demographic Montgomery village Rincon
Black 23 19
White 19 69
Asian 13 2
Hispanic 35 6
Two or More Races 10 4
American Indian Data is updating Data is updating

Demographics Comparison: Montgomery village vs Rincon

  • A higher percentage of Black residents are in Montgomery village at 23% compared to 19% in Rincon.
  • The percentage of White residents is higher in Rincon at 69% compared to 19% in Montgomery village.
  • The Asian population is larger in Montgomery village at 13% compared to 2% in Rincon.
  • The Hispanic community is larger in Montgomery village at 35% compared to 6% in Rincon.
  • More residents identify as two or more races in Montgomery village at 10% compared to 4% in Rincon.
  • The percentage of American Indian residents is the same in both Montgomery village and Rincon at 0%.

Health Statistics

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

Health Metric Montgomery village Rincon
Mental Health Not Good 14.5% 16.3%
Physical Health Not Good 9.0% 11.2%
Depression 18.9% 20.6%
Smoking 11.3% 16.2%
Binge Drinking 12.1% 15.9%
Obesity 27.8% 37.7%
Disability Percentage 10.0% 9.0%

Health Statistics Comparison: Montgomery village vs Rincon

  • In Rincon, a higher percentage report poor mental health at 16.3% compared to 14.5% in Montgomery village.
  • Higher depression rates are seen in Rincon at 20.6% versus 18.9% in Montgomery village.
  • Rincon has a higher smoking rate at 16.2% compared to 11.3% in Montgomery village.
  • More residents engage in binge drinking in Rincon at 15.9% compared to 12.1% in Montgomery village.
  • Rincon has higher obesity rates at 37.7% compared to 27.8% in Montgomery village.
  • Disability percentages are higher in Montgomery village at 10.0% compared to 9.0% in Rincon.

Education Levels

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

Education Level Montgomery village Rincon
No Schooling 2.7% (955) 0.5% (57)
High School Diploma 12.2% (4,244) 11.3% (1,274)
Less than High School 14.3% (4,958) 8.0% (905)
Bachelor's Degree and Higher 28.9% (10,032) 15.6% (1,754)

Education Levels Comparison: Montgomery village vs Rincon

  • A higher percentage of residents in Montgomery village have no formal schooling at 2.7% compared to 0.5% in Rincon.
  • A higher percentage of residents in Montgomery village hold a high school diploma at 12.2% compared to 11.3% in Rincon.
  • More residents in Montgomery village have less than a high school education at 14.3% compared to 8.0% in Rincon.
  • A higher percentage of residents in Montgomery village hold a bachelor's degree or higher at 28.9% compared to 15.6% in Rincon.

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.