Demographics details for Diamond point, NY vs Sterling, CT

Population Overview

Compare main population characteristics in Diamond point, NY vs Sterling, CT.

Data Diamond point Sterling
Population 247 3,830
Median Age 58.0 years 42.0 years
Median Income $60,000 $85,000
Married Families 80.0% 80.0%
Poverty Level 5% 5%
Unemployment Rate 4.0 2.9

Population Comparison: Diamond point vs Sterling

  • The population in Sterling is higher at 3,830, compared to 247 in Diamond point.
  • Residents in Diamond point have a higher median age of 58.0 years compared to 42.0 years in Sterling.
  • Sterling has a higher median income of $85,000, compared to $60,000 in Diamond point.
  • The percentage of married families is the same in both Diamond point and Sterling at 80.0%.
  • The poverty level is identical in both Diamond point and Sterling at 5%.
  • The unemployment rate in Diamond point is higher at 4.0%, compared to 2.9% in Sterling.

Demographics

Demographics Diamond point vs Sterling provide insight into the diversity of the communities to compare.

Demographic Diamond point Sterling
Black Data is updating 2
White 95 95
Asian Data is updating 1
Hispanic 3 2
Two or More Races 2 Data is updating
American Indian Data is updating Data is updating

Demographics Comparison: Diamond point vs Sterling

  • In Sterling, the percentage of Black residents is higher at 2% compared to 0% in Diamond point.
  • The percentage of White residents is the same in both Diamond point and Sterling at 95%.
  • In Sterling, the Asian population stands at 1%, greater than 0% in Diamond point.
  • The Hispanic community is larger in Diamond point at 3% compared to 2% in Sterling.
  • More residents identify as two or more races in Diamond point at 2% compared to 0% in Sterling.
  • The percentage of American Indian residents is the same in both Diamond point and Sterling at 0%.

Health Statistics

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

Health Metric Diamond point Sterling
Mental Health Not Good Data is updating% Data is updating%
Physical Health Not Good Data is updating% Data is updating%
Depression Data is updating% Data is updating%
Smoking Data is updating% Data is updating%
Binge Drinking Data is updating% Data is updating%
Obesity Data is updating% Data is updating%
Disability Percentage Data is updating% Data is updating%

Health Statistics Comparison: Diamond point vs Sterling

  • Poor mental health levels are equal in both Diamond point and Sterling at 0.0%.
  • Both cities have comparable depression rates at 0.0%.
  • Smoking rates are the same in both Diamond point and Sterling at 0.0%.
  • Binge drinking rates are similar in both Diamond point and Sterling at 0.0%.
  • Both cities have the same obesity rates at 0.0%.
  • Disability percentages are the same in both Diamond point and Sterling at 0.0%.

Education Levels

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

Education Level Diamond point Sterling
No Schooling 0.0% (Data is updating) 0.0% (Data is updating)
High School Diploma 0.0% (Data is updating) 0.0% (Data is updating)
Less than High School 0.0% (Data is updating) 0.0% (Data is updating)
Bachelor's Degree and Higher 0.0% (Data is updating) 0.0% (Data is updating)

Education Levels Comparison: Diamond point vs Sterling

  • The percentage of residents with no formal schooling is the same in both Diamond point and Sterling at 0.0%.
  • Both cities have the same percentage of residents with high school diplomas at 0.0%.
  • Both cities report the same percentage of residents with less than a high school education at 0.0%.
  • The percentage of residents with a bachelor's degree or higher is identical in both Diamond point and Sterling at 0.0%.

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.