Demographics details for Orange cove, CA vs Dallastown, PA

Population Overview

Compare main population characteristics in Orange cove, CA vs Dallastown, PA.

Data Orange cove Dallastown
Population 9,525 4,176
Median Age 24.4 years 39.9 years
Median Income $33,671 $56,397
Married Families 30.0% 39.0%
Poverty Level 26% 7%
Unemployment Rate 5.2 3.5

Population Comparison: Orange cove vs Dallastown

  • In Orange cove, the population is higher at 9,525, compared to 4,176 in Dallastown.
  • The median age in Dallastown is higher at 39.9 years, compared to 24.4 years in Orange cove.
  • Dallastown has a higher median income of $56,397, compared to $33,671 in Orange cove.
  • In Dallastown, the percentage of married families is higher at 39.0%, compared to 30.0% in Orange cove.
  • Orange cove has a higher poverty level at 26% compared to 7% in Dallastown.
  • The unemployment rate in Orange cove is higher at 5.2%, compared to 3.5% in Dallastown.

Demographics

Demographics Orange cove vs Dallastown provide insight into the diversity of the communities to compare.

Demographic Orange cove Dallastown
Black 1 2
White -17 92
Asian Data is updating Data is updating
Hispanic 97 4
Two or More Races 19 2
American Indian Data is updating Data is updating

Demographics Comparison: Orange cove vs Dallastown

  • In Dallastown, the percentage of Black residents is higher at 2% compared to 1% in Orange cove.
  • The percentage of White residents is higher in Dallastown at 92% compared to -17% in Orange cove.
  • Both Orange cove and Dallastown have the same percentage of Asian residents at 0%.
  • The Hispanic community is larger in Orange cove at 97% compared to 4% in Dallastown.
  • More residents identify as two or more races in Orange cove at 19% compared to 2% in Dallastown.
  • The percentage of American Indian residents is the same in both Orange cove and Dallastown at 0%.

Health Statistics

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

Health Metric Orange cove Dallastown
Mental Health Not Good 21.3% 17.7%
Physical Health Not Good 20.7% 12.3%
Depression 19.2% 25.2%
Smoking 21.1% 19.4%
Binge Drinking 11.7% 17.4%
Obesity 46.7% 41.0%
Disability Percentage 7.0% 20.0%

Health Statistics Comparison: Orange cove vs Dallastown

  • More residents in Orange cove report poor mental health at 21.3% compared to 17.7% in Dallastown.
  • Higher depression rates are seen in Dallastown at 25.2% versus 19.2% in Orange cove.
  • Smoking is more prevalent in Orange cove at 21.1% compared to 19.4% in Dallastown.
  • More residents engage in binge drinking in Dallastown at 17.4% compared to 11.7% in Orange cove.
  • Obesity rates are higher in Orange cove at 46.7% compared to 41.0% in Dallastown.
  • There is a higher percentage of disabled individuals in Dallastown at 20.0% compared to 7.0% in Orange cove.

Education Levels

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

Education Level Orange cove Dallastown
No Schooling 6.5% (617) 0.0% (1)
High School Diploma 8.0% (765) 22.5% (939)
Less than High School 55.1% (5,248) 12.3% (512)
Bachelor's Degree and Higher 3.3% (315) 14.3% (599)

Education Levels Comparison: Orange cove vs Dallastown

  • A higher percentage of residents in Orange cove have no formal schooling at 6.5% compared to 0.0% in Dallastown.
  • In Dallastown, the rate of residents with high school diplomas is higher at 22.5% compared to 8.0% in Orange cove.
  • More residents in Orange cove have less than a high school education at 55.1% compared to 12.3% in Dallastown.
  • In Dallastown, a larger share of residents have a bachelor's degree or higher at 14.3% compared to 3.3% in Orange cove.

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.