Demographics details for Miller place, NY vs Santa maria, CA

Population Overview

Compare main population characteristics in Miller place, NY vs Santa maria, CA.

Data Miller place Santa maria
Population 11,848 110,125
Median Age 42.5 years 29.3 years
Median Income $136,203 $81,237
Married Families 48.0% 31.0%
Poverty Level 3% 15%
Unemployment Rate 4.1 5.0

Population Comparison: Miller place vs Santa maria

  • The population in Santa maria is higher at 110,125, compared to 11,848 in Miller place.
  • Residents in Miller place have a higher median age of 42.5 years compared to 29.3 years in Santa maria.
  • Miller place has a higher median income of $136,203 compared to $81,237 in Santa maria.
  • A higher percentage of married families is found in Miller place at 48.0% compared to 31.0% in Santa maria.
  • The poverty level is higher in Santa maria at 15%, compared to 3% in Miller place.
  • Santa maria has a higher unemployment rate at 5.0% compared to 4.1% in Miller place.

Demographics

Demographics Miller place vs Santa maria provide insight into the diversity of the communities to compare.

Demographic Miller place Santa maria
Black 1 1
White 77 -13
Asian 3 5
Hispanic 12 77
Two or More Races 7 28
American Indian Data is updating 2

Demographics Comparison: Miller place vs Santa maria

  • The percentage of Black residents is the same in both Miller place and Santa maria at 1%.
  • Miller place has a higher percentage of White residents at 77% compared to -13% in Santa maria.
  • In Santa maria, the Asian population stands at 5%, greater than 3% in Miller place.
  • Santa maria has a higher percentage of Hispanic residents at 77%, compared to 12% in Miller place.
  • The percentage of residents identifying as two or more races is higher in Santa maria at 28%, compared to 7% in Miller place.
  • In Santa maria, the percentage of American Indian residents is higher at 2%, compared to 0% in Miller place.

Health Statistics

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

Health Metric Miller place Santa maria
Mental Health Not Good 13.3% 17.2%
Physical Health Not Good 7.3% 14.2%
Depression 19.6% 19.5%
Smoking 10.5% 15.3%
Binge Drinking 17.9% 14.9%
Obesity 26.8% 32.8%
Disability Percentage 9.0% 10.0%

Health Statistics Comparison: Miller place vs Santa maria

  • In Santa maria, a higher percentage report poor mental health at 17.2% compared to 13.3% in Miller place.
  • Depression is more prevalent in Miller place at 19.6% compared to 19.5% in Santa maria.
  • Santa maria has a higher smoking rate at 15.3% compared to 10.5% in Miller place.
  • Binge drinking is more common in Miller place at 17.9% compared to 14.9% in Santa maria.
  • Santa maria has higher obesity rates at 32.8% compared to 26.8% in Miller place.
  • There is a higher percentage of disabled individuals in Santa maria at 10.0% compared to 9.0% in Miller place.

Education Levels

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

Education Level Miller place Santa maria
No Schooling 1.7% (201) 3.9% (4,329)
High School Diploma 13.9% (1,647) 10.4% (11,486)
Less than High School 7.0% (835) 40.4% (44,477)
Bachelor's Degree and Higher 30.8% (3,649) 8.1% (8,930)

Education Levels Comparison: Miller place vs Santa maria

  • In Santa maria, a larger percentage of residents lack formal schooling at 3.9% compared to 1.7% in Miller place.
  • A higher percentage of residents in Miller place hold a high school diploma at 13.9% compared to 10.4% in Santa maria.
  • The percentage of residents with less than a high school education is higher in Santa maria at 40.4%, compared to 7.0% in Miller place.
  • A higher percentage of residents in Miller place hold a bachelor's degree or higher at 30.8% compared to 8.1% in Santa maria.

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.