Demographics details for Diamond point, NY vs Hope, AR

Population Overview

Compare main population characteristics in Diamond point, NY vs Hope, AR.

Data Diamond point Hope
Population 247 8,624
Median Age 58.0 years 36.2 years
Median Income $60,000 $43,018
Married Families 80.0% 29.0%
Poverty Level 5% 20%
Unemployment Rate 4.0 4.5

Population Comparison: Diamond point vs Hope

  • The population in Hope is higher at 8,624, compared to 247 in Diamond point.
  • Residents in Diamond point have a higher median age of 58.0 years compared to 36.2 years in Hope.
  • Diamond point has a higher median income of $60,000 compared to $43,018 in Hope.
  • A higher percentage of married families is found in Diamond point at 80.0% compared to 29.0% in Hope.
  • The poverty level is higher in Hope at 20%, compared to 5% in Diamond point.
  • Hope has a higher unemployment rate at 4.5% compared to 4.0% in Diamond point.

Demographics

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

Demographic Diamond point Hope
Black Data is updating 48
White 95 28
Asian Data is updating Data is updating
Hispanic 3 19
Two or More Races 2 4
American Indian Data is updating 1

Demographics Comparison: Diamond point vs Hope

  • In Hope, the percentage of Black residents is higher at 48% compared to 0% in Diamond point.
  • Diamond point has a higher percentage of White residents at 95% compared to 28% in Hope.
  • Both Diamond point and Hope have the same percentage of Asian residents at 0%.
  • Hope has a higher percentage of Hispanic residents at 19%, compared to 3% in Diamond point.
  • The percentage of residents identifying as two or more races is higher in Hope at 4%, compared to 2% in Diamond point.
  • In Hope, the percentage of American Indian residents is higher at 1%, compared to 0% in Diamond point.

Health Statistics

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

Health Metric Diamond point Hope
Mental Health Not Good Data is updating% 20.9%
Physical Health Not Good Data is updating% 16.6%
Depression Data is updating% 24.8%
Smoking Data is updating% 25.2%
Binge Drinking Data is updating% 12.1%
Obesity Data is updating% 48.0%
Disability Percentage Data is updating% 20.0%

Health Statistics Comparison: Diamond point vs Hope

  • In Hope, a higher percentage report poor mental health at 20.9% compared to 0.0% in Diamond point.
  • Higher depression rates are seen in Hope at 24.8% versus 0.0% in Diamond point.
  • Hope has a higher smoking rate at 25.2% compared to 0.0% in Diamond point.
  • More residents engage in binge drinking in Hope at 12.1% compared to 0.0% in Diamond point.
  • Hope has higher obesity rates at 48.0% compared to 0.0% in Diamond point.
  • There is a higher percentage of disabled individuals in Hope at 20.0% compared to 0.0% in Diamond point.

Education Levels

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

Education Level Diamond point Hope
No Schooling 0.0% (Data is updating) 3.0% (258)
High School Diploma 0.0% (Data is updating) 20.8% (1,790)
Less than High School 0.0% (Data is updating) 19.0% (1,641)
Bachelor's Degree and Higher 0.0% (Data is updating) 10.0% (863)

Education Levels Comparison: Diamond point vs Hope

  • In Hope, a larger percentage of residents lack formal schooling at 3.0% compared to 0.0% in Diamond point.
  • In Hope, the rate of residents with high school diplomas is higher at 20.8% compared to 0.0% in Diamond point.
  • The percentage of residents with less than a high school education is higher in Hope at 19.0%, compared to 0.0% in Diamond point.
  • In Hope, a larger share of residents have a bachelor's degree or higher at 10.0% compared to 0.0% in Diamond point.

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.