Demographics details for Mount pleasant, SC vs Broadalbin, NY

Population Overview

Compare main population characteristics in Mount pleasant, SC vs Broadalbin, NY.

Data Mount pleasant Broadalbin
Population 94,545 5,158
Median Age 42.4 years 40.0 years
Median Income $115,167 $60,000
Married Families 47.0% 49.0%
Poverty Level 5% 8%
Unemployment Rate 3.2 4.0

Population Comparison: Mount pleasant vs Broadalbin

  • In Mount pleasant, the population is higher at 94,545, compared to 5,158 in Broadalbin.
  • Residents in Mount pleasant have a higher median age of 42.4 years compared to 40.0 years in Broadalbin.
  • Mount pleasant has a higher median income of $115,167 compared to $60,000 in Broadalbin.
  • In Broadalbin, the percentage of married families is higher at 49.0%, compared to 47.0% in Mount pleasant.
  • The poverty level is higher in Broadalbin at 8%, compared to 5% in Mount pleasant.
  • Broadalbin has a higher unemployment rate at 4.0% compared to 3.2% in Mount pleasant.

Demographics

Demographics Mount pleasant vs Broadalbin provide insight into the diversity of the communities to compare.

Demographic Mount pleasant Broadalbin
Black 4 Data is updating
White 90 95
Asian 2 1
Hispanic 2 2
Two or More Races 2 2
American Indian Data is updating Data is updating

Demographics Comparison: Mount pleasant vs Broadalbin

  • A higher percentage of Black residents are in Mount pleasant at 4% compared to 0% in Broadalbin.
  • The percentage of White residents is higher in Broadalbin at 95% compared to 90% in Mount pleasant.
  • The Asian population is larger in Mount pleasant at 2% compared to 1% in Broadalbin.
  • The percentage of Hispanic residents is the same in both Mount pleasant and Broadalbin at 2%.
  • Both Mount pleasant and Broadalbin have the same percentage of residents identifying as two or more races at 2%.
  • The percentage of American Indian residents is the same in both Mount pleasant and Broadalbin at 0%.

Health Statistics

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

Health Metric Mount pleasant Broadalbin
Mental Health Not Good 13.7% Data is updating%
Physical Health Not Good 7.6% Data is updating%
Depression 19.5% Data is updating%
Smoking 9.8% Data is updating%
Binge Drinking 25.5% Data is updating%
Obesity 26.9% Data is updating%
Disability Percentage 6.0% Data is updating%

Health Statistics Comparison: Mount pleasant vs Broadalbin

  • More residents in Mount pleasant report poor mental health at 13.7% compared to 0.0% in Broadalbin.
  • Depression is more prevalent in Mount pleasant at 19.5% compared to 0.0% in Broadalbin.
  • Smoking is more prevalent in Mount pleasant at 9.8% compared to 0.0% in Broadalbin.
  • Binge drinking is more common in Mount pleasant at 25.5% compared to 0.0% in Broadalbin.
  • Obesity rates are higher in Mount pleasant at 26.9% compared to 0.0% in Broadalbin.
  • Disability percentages are higher in Mount pleasant at 6.0% compared to 0.0% in Broadalbin.

Education Levels

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

Education Level Mount pleasant Broadalbin
No Schooling 0.3% (259) 0.0% (Data is updating)
High School Diploma 5.8% (5,499) 0.0% (Data is updating)
Less than High School 2.7% (2,577) 0.0% (Data is updating)
Bachelor's Degree and Higher 46.2% (43,679) 0.0% (Data is updating)

Education Levels Comparison: Mount pleasant vs Broadalbin

  • A higher percentage of residents in Mount pleasant have no formal schooling at 0.3% compared to 0.0% in Broadalbin.
  • A higher percentage of residents in Mount pleasant hold a high school diploma at 5.8% compared to 0.0% in Broadalbin.
  • More residents in Mount pleasant have less than a high school education at 2.7% compared to 0.0% in Broadalbin.
  • A higher percentage of residents in Mount pleasant hold a bachelor's degree or higher at 46.2% compared to 0.0% in Broadalbin.

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.