Demographics details for Fall river mills, CA vs High point, NC

Population Overview

Compare main population characteristics in Fall river mills, CA vs High point, NC.

Data Fall river mills High point
Population 678 115,067
Median Age 27.7 years 37.7 years
Median Income $36,827 $58,582
Married Families 34.0% 35.0%
Poverty Level 15% 15%
Unemployment Rate 6.0 5.4

Population Comparison: Fall river mills vs High point

  • The population in High point is higher at 115,067, compared to 678 in Fall river mills.
  • The median age in High point is higher at 37.7 years, compared to 27.7 years in Fall river mills.
  • High point has a higher median income of $58,582, compared to $36,827 in Fall river mills.
  • In High point, the percentage of married families is higher at 35.0%, compared to 34.0% in Fall river mills.
  • The poverty level is identical in both Fall river mills and High point at 15%.
  • The unemployment rate in Fall river mills is higher at 6.0%, compared to 5.4% in High point.

Demographics

Demographics Fall river mills vs High point provide insight into the diversity of the communities to compare.

Demographic Fall river mills High point
Black 1 32
White 36 42
Asian Data is updating 8
Hispanic 25 11
Two or More Races 27 7
American Indian 11 Data is updating

Demographics Comparison: Fall river mills vs High point

  • In High point, the percentage of Black residents is higher at 32% compared to 1% in Fall river mills.
  • The percentage of White residents is higher in High point at 42% compared to 36% in Fall river mills.
  • In High point, the Asian population stands at 8%, greater than 0% in Fall river mills.
  • The Hispanic community is larger in Fall river mills at 25% compared to 11% in High point.
  • More residents identify as two or more races in Fall river mills at 27% compared to 7% in High point.
  • A greater percentage of American Indian residents live in Fall river mills at 11% compared to 0% in High point.

Health Statistics

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

Health Metric Fall river mills High point
Mental Health Not Good 17.9% 16.4%
Physical Health Not Good 11.7% 12.1%
Depression 21.7% 23.0%
Smoking 14.7% 17.1%
Binge Drinking 18.0% 15.5%
Obesity 31.3% 36.1%
Disability Percentage 12.0% 12.0%

Health Statistics Comparison: Fall river mills vs High point

  • More residents in Fall river mills report poor mental health at 17.9% compared to 16.4% in High point.
  • Higher depression rates are seen in High point at 23.0% versus 21.7% in Fall river mills.
  • High point has a higher smoking rate at 17.1% compared to 14.7% in Fall river mills.
  • Binge drinking is more common in Fall river mills at 18.0% compared to 15.5% in High point.
  • High point has higher obesity rates at 36.1% compared to 31.3% in Fall river mills.
  • Disability percentages are the same in both Fall river mills and High point at 12.0%.

Education Levels

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

Education Level Fall river mills High point
No Schooling 0.0% (Data is updating) 1.4% (1,587)
High School Diploma 13.4% (91) 13.5% (15,564)
Less than High School 9.7% (66) 12.8% (14,768)
Bachelor's Degree and Higher 4.9% (33) 22.3% (25,678)

Education Levels Comparison: Fall river mills vs High point

  • In High point, a larger percentage of residents lack formal schooling at 1.4% compared to 0.0% in Fall river mills.
  • In High point, the rate of residents with high school diplomas is higher at 13.5% compared to 13.4% in Fall river mills.
  • The percentage of residents with less than a high school education is higher in High point at 12.8%, compared to 9.7% in Fall river mills.
  • In High point, a larger share of residents have a bachelor's degree or higher at 22.3% compared to 4.9% in Fall river mills.

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.