Demographics details for Fishing creek, MD vs Montgomery, IL

Population Overview

Compare main population characteristics in Fishing creek, MD vs Montgomery, IL.

Data Fishing creek Montgomery
Population 235 21,799
Median Age 55.9 years 31.7 years
Median Income $76,250 $105,240
Married Families 58.0% 36.0%
Poverty Level Data is updating 5%
Unemployment Rate 3.5 3.5

Population Comparison: Fishing creek vs Montgomery

  • The population in Montgomery is higher at 21,799, compared to 235 in Fishing creek.
  • Residents in Fishing creek have a higher median age of 55.9 years compared to 31.7 years in Montgomery.
  • Montgomery has a higher median income of $105,240, compared to $76,250 in Fishing creek.
  • A higher percentage of married families is found in Fishing creek at 58.0% compared to 36.0% in Montgomery.
  • The poverty level is higher in Montgomery at 5%, compared to 0% in Fishing creek.
  • The unemployment rate is the same in both Fishing creek and Montgomery at 3.5%.

Demographics

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

Demographic Fishing creek Montgomery
Black Data is updating 5
White 100 52
Asian Data is updating 1
Hispanic Data is updating 31
Two or More Races Data is updating 11
American Indian Data is updating Data is updating

Demographics Comparison: Fishing creek vs Montgomery

  • In Montgomery, the percentage of Black residents is higher at 5% compared to 0% in Fishing creek.
  • Fishing creek has a higher percentage of White residents at 100% compared to 52% in Montgomery.
  • In Montgomery, the Asian population stands at 1%, greater than 0% in Fishing creek.
  • Montgomery has a higher percentage of Hispanic residents at 31%, compared to 0% in Fishing creek.
  • The percentage of residents identifying as two or more races is higher in Montgomery at 11%, compared to 0% in Fishing creek.
  • The percentage of American Indian residents is the same in both Fishing creek and Montgomery at 0%.

Health Statistics

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

Health Metric Fishing creek Montgomery
Mental Health Not Good 15.3% 14.6%
Physical Health Not Good 9.6% 10.3%
Depression 21.2% 18.8%
Smoking 15.1% 14.1%
Binge Drinking 16.8% 17.3%
Obesity 33.1% 34.4%
Disability Percentage 28.0% 4.0%

Health Statistics Comparison: Fishing creek vs Montgomery

  • More residents in Fishing creek report poor mental health at 15.3% compared to 14.6% in Montgomery.
  • Depression is more prevalent in Fishing creek at 21.2% compared to 18.8% in Montgomery.
  • Smoking is more prevalent in Fishing creek at 15.1% compared to 14.1% in Montgomery.
  • More residents engage in binge drinking in Montgomery at 17.3% compared to 16.8% in Fishing creek.
  • Montgomery has higher obesity rates at 34.4% compared to 33.1% in Fishing creek.
  • Disability percentages are higher in Fishing creek at 28.0% compared to 4.0% in Montgomery.

Education Levels

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

Education Level Fishing creek Montgomery
No Schooling 0.0% (Data is updating) 1.2% (255)
High School Diploma 34.5% (81) 15.6% (3,406)
Less than High School 0.0% (Data is updating) 8.2% (1,792)
Bachelor's Degree and Higher 16.2% (38) 15.5% (3,372)

Education Levels Comparison: Fishing creek vs Montgomery

  • In Montgomery, a larger percentage of residents lack formal schooling at 1.2% compared to 0.0% in Fishing creek.
  • A higher percentage of residents in Fishing creek hold a high school diploma at 34.5% compared to 15.6% in Montgomery.
  • The percentage of residents with less than a high school education is higher in Montgomery at 8.2%, compared to 0.0% in Fishing creek.
  • A higher percentage of residents in Fishing creek hold a bachelor's degree or higher at 16.2% compared to 15.5% 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.