Demographics details for Rayland, OH vs Montgomery, AL

Population Overview

Compare main population characteristics in Rayland, OH vs Montgomery, AL.

Data Rayland Montgomery
Population 384 196,986
Median Age 48.5 years 36.1 years
Median Income $56,875 $54,166
Married Families 46.0% 28.0%
Poverty Level 16% 15%
Unemployment Rate 4.5 3.2

Population Comparison: Rayland vs Montgomery

  • The population in Montgomery is higher at 196,986, compared to 384 in Rayland.
  • Residents in Rayland have a higher median age of 48.5 years compared to 36.1 years in Montgomery.
  • Rayland has a higher median income of $56,875 compared to $54,166 in Montgomery.
  • A higher percentage of married families is found in Rayland at 46.0% compared to 28.0% in Montgomery.
  • Rayland has a higher poverty level at 16% compared to 15% in Montgomery.
  • The unemployment rate in Rayland is higher at 4.5%, compared to 3.2% in Montgomery.

Demographics

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

Demographic Rayland Montgomery
Black Data is updating 64
White 98 25
Asian Data is updating 4
Hispanic Data is updating 4
Two or More Races 2 3
American Indian Data is updating Data is updating

Demographics Comparison: Rayland vs Montgomery

  • In Montgomery, the percentage of Black residents is higher at 64% compared to 0% in Rayland.
  • Rayland has a higher percentage of White residents at 98% compared to 25% in Montgomery.
  • In Montgomery, the Asian population stands at 4%, greater than 0% in Rayland.
  • Montgomery has a higher percentage of Hispanic residents at 4%, compared to 0% in Rayland.
  • The percentage of residents identifying as two or more races is higher in Montgomery at 3%, compared to 2% in Rayland.
  • The percentage of American Indian residents is the same in both Rayland and Montgomery at 0%.

Health Statistics

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

Health Metric Rayland Montgomery
Mental Health Not Good 19.8% 18.8%
Physical Health Not Good 13.6% 13.3%
Depression 25.8% 20.2%
Smoking 25.7% 18.9%
Binge Drinking 18.0% 14.2%
Obesity 41.8% 38.4%
Disability Percentage 24.0% 17.0%

Health Statistics Comparison: Rayland vs Montgomery

  • More residents in Rayland report poor mental health at 19.8% compared to 18.8% in Montgomery.
  • Depression is more prevalent in Rayland at 25.8% compared to 20.2% in Montgomery.
  • Smoking is more prevalent in Rayland at 25.7% compared to 18.9% in Montgomery.
  • Binge drinking is more common in Rayland at 18.0% compared to 14.2% in Montgomery.
  • Obesity rates are higher in Rayland at 41.8% compared to 38.4% in Montgomery.
  • Disability percentages are higher in Rayland at 24.0% 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 Rayland Montgomery
No Schooling 1.0% (4) 0.8% (1,627)
High School Diploma 35.4% (136) 14.0% (27,586)
Less than High School 9.9% (38) 10.0% (19,602)
Bachelor's Degree and Higher 7.3% (28) 22.1% (43,498)

Education Levels Comparison: Rayland vs Montgomery

  • A higher percentage of residents in Rayland have no formal schooling at 1.0% compared to 0.8% in Montgomery.
  • A higher percentage of residents in Rayland hold a high school diploma at 35.4% compared to 14.0% in Montgomery.
  • The percentage of residents with less than a high school education is higher in Montgomery at 10.0%, compared to 9.9% in Rayland.
  • In Montgomery, a larger share of residents have a bachelor's degree or higher at 22.1% compared to 7.3% in Rayland.

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.