Demographics details for Sumner, ME vs Blue point, NY

Population Overview

Compare main population characteristics in Sumner, ME vs Blue point, NY.

Data Sumner Blue point
Population 939 4,616
Median Age 43.0 years 46.8 years
Median Income $55,250 $126,818
Married Families 48.0% 51.0%
Poverty Level 11% Data is updating
Unemployment Rate 3.1 3.5

Population Comparison: Sumner vs Blue point

  • The population in Blue point is higher at 4,616, compared to 939 in Sumner.
  • The median age in Blue point is higher at 46.8 years, compared to 43.0 years in Sumner.
  • Blue point has a higher median income of $126,818, compared to $55,250 in Sumner.
  • In Blue point, the percentage of married families is higher at 51.0%, compared to 48.0% in Sumner.
  • Sumner has a higher poverty level at 11% compared to 0% in Blue point.
  • Blue point has a higher unemployment rate at 3.5% compared to 3.1% in Sumner.

Demographics

Demographics Sumner vs Blue point provide insight into the diversity of the communities to compare.

Demographic Sumner Blue point
Black Data is updating 1
White 100 93
Asian Data is updating Data is updating
Hispanic Data is updating 5
Two or More Races Data is updating 1
American Indian Data is updating Data is updating

Demographics Comparison: Sumner vs Blue point

  • In Blue point, the percentage of Black residents is higher at 1% compared to 0% in Sumner.
  • Sumner has a higher percentage of White residents at 100% compared to 93% in Blue point.
  • Both Sumner and Blue point have the same percentage of Asian residents at 0%.
  • Blue point has a higher percentage of Hispanic residents at 5%, compared to 0% in Sumner.
  • The percentage of residents identifying as two or more races is higher in Blue point at 1%, compared to 0% in Sumner.
  • The percentage of American Indian residents is the same in both Sumner and Blue point at 0%.

Health Statistics

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

Health Metric Sumner Blue point
Mental Health Not Good Data is updating% 13.3%
Physical Health Not Good Data is updating% 7.4%
Depression Data is updating% 19.7%
Smoking Data is updating% 10.9%
Binge Drinking Data is updating% 18.1%
Obesity Data is updating% 26.7%
Disability Percentage Data is updating% 9.0%

Health Statistics Comparison: Sumner vs Blue point

  • In Blue point, a higher percentage report poor mental health at 13.3% compared to 0.0% in Sumner.
  • Higher depression rates are seen in Blue point at 19.7% versus 0.0% in Sumner.
  • Blue point has a higher smoking rate at 10.9% compared to 0.0% in Sumner.
  • More residents engage in binge drinking in Blue point at 18.1% compared to 0.0% in Sumner.
  • Blue point has higher obesity rates at 26.7% compared to 0.0% in Sumner.
  • There is a higher percentage of disabled individuals in Blue point at 9.0% compared to 0.0% in Sumner.

Education Levels

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

Education Level Sumner Blue point
No Schooling 0.0% (Data is updating) 0.3% (14)
High School Diploma 0.0% (Data is updating) 17.9% (827)
Less than High School 0.0% (Data is updating) 4.5% (209)
Bachelor's Degree and Higher 0.0% (Data is updating) 36.9% (1,701)

Education Levels Comparison: Sumner vs Blue point

  • In Blue point, a larger percentage of residents lack formal schooling at 0.3% compared to 0.0% in Sumner.
  • In Blue point, the rate of residents with high school diplomas is higher at 17.9% compared to 0.0% in Sumner.
  • The percentage of residents with less than a high school education is higher in Blue point at 4.5%, compared to 0.0% in Sumner.
  • In Blue point, a larger share of residents have a bachelor's degree or higher at 36.9% compared to 0.0% in Sumner.

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.