Demographics details for Montgomery, NY vs Churchville, MD

Population Overview

Compare main population characteristics in Montgomery, NY vs Churchville, MD.

Data Montgomery Churchville
Population 49,623 4,921
Median Age 40.6 years 39.5 years
Median Income $58,033 $98,000
Married Families 34.0% 72.0%
Poverty Level 10% 5%
Unemployment Rate 4.2 3.8

Population Comparison: Montgomery vs Churchville

  • In Montgomery, the population is higher at 49,623, compared to 4,921 in Churchville.
  • Residents in Montgomery have a higher median age of 40.6 years compared to 39.5 years in Churchville.
  • Churchville has a higher median income of $98,000, compared to $58,033 in Montgomery.
  • In Churchville, the percentage of married families is higher at 72.0%, compared to 34.0% in Montgomery.
  • Montgomery has a higher poverty level at 10% compared to 5% in Churchville.
  • The unemployment rate in Montgomery is higher at 4.2%, compared to 3.8% in Churchville.

Demographics

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

Demographic Montgomery Churchville
Black 3 5
White 74 85
Asian 1 2
Hispanic 15 5
Two or More Races 6 3
American Indian 1 Data is updating

Demographics Comparison: Montgomery vs Churchville

  • In Churchville, the percentage of Black residents is higher at 5% compared to 3% in Montgomery.
  • The percentage of White residents is higher in Churchville at 85% compared to 74% in Montgomery.
  • In Churchville, the Asian population stands at 2%, greater than 1% in Montgomery.
  • The Hispanic community is larger in Montgomery at 15% compared to 5% in Churchville.
  • More residents identify as two or more races in Montgomery at 6% compared to 3% in Churchville.
  • A greater percentage of American Indian residents live in Montgomery at 1% compared to 0% in Churchville.

Health Statistics

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

Health Metric Montgomery Churchville
Mental Health Not Good 16.7% Data is updating%
Physical Health Not Good 12.3% Data is updating%
Depression 23.2% Data is updating%
Smoking 20.4% Data is updating%
Binge Drinking 17.8% Data is updating%
Obesity 35.8% Data is updating%
Disability Percentage 16.0% Data is updating%

Health Statistics Comparison: Montgomery vs Churchville

  • More residents in Montgomery report poor mental health at 16.7% compared to 0.0% in Churchville.
  • Depression is more prevalent in Montgomery at 23.2% compared to 0.0% in Churchville.
  • Smoking is more prevalent in Montgomery at 20.4% compared to 0.0% in Churchville.
  • Binge drinking is more common in Montgomery at 17.8% compared to 0.0% in Churchville.
  • Obesity rates are higher in Montgomery at 35.8% compared to 0.0% in Churchville.
  • Disability percentages are higher in Montgomery at 16.0% compared to 0.0% in Churchville.

Education Levels

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

Education Level Montgomery Churchville
No Schooling 1.1% (540) 0.0% (Data is updating)
High School Diploma 20.6% (10,235) 0.0% (Data is updating)
Less than High School 14.9% (7,375) 0.0% (Data is updating)
Bachelor's Degree and Higher 13.7% (6,785) 0.0% (Data is updating)

Education Levels Comparison: Montgomery vs Churchville

  • A higher percentage of residents in Montgomery have no formal schooling at 1.1% compared to 0.0% in Churchville.
  • A higher percentage of residents in Montgomery hold a high school diploma at 20.6% compared to 0.0% in Churchville.
  • More residents in Montgomery have less than a high school education at 14.9% compared to 0.0% in Churchville.
  • A higher percentage of residents in Montgomery hold a bachelor's degree or higher at 13.7% compared to 0.0% in Churchville.

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.