Demographics details for Hot springs village, AR vs Dixon, CA

Population Overview

Compare main population characteristics in Hot springs village, AR vs Dixon, CA.

Data Hot springs village Dixon
Population 16,843 19,143
Median Age 69.7 years 33.5 years
Median Income $68,580 $92,138
Married Families 61.0% 38.0%
Poverty Level 7% 10%
Unemployment Rate 3.2 5.2

Population Comparison: Hot springs village vs Dixon

  • The population in Dixon is higher at 19,143, compared to 16,843 in Hot springs village.
  • Residents in Hot springs village have a higher median age of 69.7 years compared to 33.5 years in Dixon.
  • Dixon has a higher median income of $92,138, compared to $68,580 in Hot springs village.
  • A higher percentage of married families is found in Hot springs village at 61.0% compared to 38.0% in Dixon.
  • The poverty level is higher in Dixon at 10%, compared to 7% in Hot springs village.
  • Dixon has a higher unemployment rate at 5.2% compared to 3.2% in Hot springs village.

Demographics

Demographics Hot springs village vs Dixon provide insight into the diversity of the communities to compare.

Demographic Hot springs village Dixon
Black 1 2
White 95 40
Asian Data is updating 3
Hispanic 1 41
Two or More Races 3 14
American Indian Data is updating Data is updating

Demographics Comparison: Hot springs village vs Dixon

  • In Dixon, the percentage of Black residents is higher at 2% compared to 1% in Hot springs village.
  • Hot springs village has a higher percentage of White residents at 95% compared to 40% in Dixon.
  • In Dixon, the Asian population stands at 3%, greater than 0% in Hot springs village.
  • Dixon has a higher percentage of Hispanic residents at 41%, compared to 1% in Hot springs village.
  • The percentage of residents identifying as two or more races is higher in Dixon at 14%, compared to 3% in Hot springs village.
  • The percentage of American Indian residents is the same in both Hot springs village and Dixon at 0%.

Health Statistics

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

Health Metric Hot springs village Dixon
Mental Health Not Good 17.1% 16.7%
Physical Health Not Good 10.6% 11.7%
Depression 25.1% 19.8%
Smoking 16.3% 12.9%
Binge Drinking 16.6% 17.2%
Obesity 33.0% 31.6%
Disability Percentage 21.0% 11.0%

Health Statistics Comparison: Hot springs village vs Dixon

  • More residents in Hot springs village report poor mental health at 17.1% compared to 16.7% in Dixon.
  • Depression is more prevalent in Hot springs village at 25.1% compared to 19.8% in Dixon.
  • Smoking is more prevalent in Hot springs village at 16.3% compared to 12.9% in Dixon.
  • More residents engage in binge drinking in Dixon at 17.2% compared to 16.6% in Hot springs village.
  • Obesity rates are higher in Hot springs village at 33.0% compared to 31.6% in Dixon.
  • Disability percentages are higher in Hot springs village at 21.0% compared to 11.0% in Dixon.

Education Levels

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

Education Level Hot springs village Dixon
No Schooling 0.4% (60) 2.0% (380)
High School Diploma 17.7% (2,980) 15.7% (3,013)
Less than High School 5.0% (848) 18.1% (3,473)
Bachelor's Degree and Higher 33.4% (5,618) 14.1% (2,695)

Education Levels Comparison: Hot springs village vs Dixon

  • In Dixon, a larger percentage of residents lack formal schooling at 2.0% compared to 0.4% in Hot springs village.
  • A higher percentage of residents in Hot springs village hold a high school diploma at 17.7% compared to 15.7% in Dixon.
  • The percentage of residents with less than a high school education is higher in Dixon at 18.1%, compared to 5.0% in Hot springs village.
  • A higher percentage of residents in Hot springs village hold a bachelor's degree or higher at 33.4% compared to 14.1% in Dixon.

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.