Demographics details for Santa maria, CA vs Mount orab, OH

Population Overview

Compare main population characteristics in Santa maria, CA vs Mount orab, OH.

Data Santa maria Mount orab
Population 110,125 4,337
Median Age 29.3 years 30.4 years
Median Income $81,237 $62,833
Married Families 31.0% 37.0%
Poverty Level 15% 10%
Unemployment Rate 5.0 4.5

Population Comparison: Santa maria vs Mount orab

  • In Santa maria, the population is higher at 110,125, compared to 4,337 in Mount orab.
  • The median age in Mount orab is higher at 30.4 years, compared to 29.3 years in Santa maria.
  • Santa maria has a higher median income of $81,237 compared to $62,833 in Mount orab.
  • In Mount orab, the percentage of married families is higher at 37.0%, compared to 31.0% in Santa maria.
  • Santa maria has a higher poverty level at 15% compared to 10% in Mount orab.
  • The unemployment rate in Santa maria is higher at 5.0%, compared to 4.5% in Mount orab.

Demographics

Demographics Santa maria vs Mount orab provide insight into the diversity of the communities to compare.

Demographic Santa maria Mount orab
Black 1 1
White -13 98
Asian 5 Data is updating
Hispanic 77 Data is updating
Two or More Races 28 1
American Indian 2 Data is updating

Demographics Comparison: Santa maria vs Mount orab

  • The percentage of Black residents is the same in both Santa maria and Mount orab at 1%.
  • The percentage of White residents is higher in Mount orab at 98% compared to -13% in Santa maria.
  • The Asian population is larger in Santa maria at 5% compared to 0% in Mount orab.
  • The Hispanic community is larger in Santa maria at 77% compared to 0% in Mount orab.
  • More residents identify as two or more races in Santa maria at 28% compared to 1% in Mount orab.
  • A greater percentage of American Indian residents live in Santa maria at 2% compared to 0% in Mount orab.

Health Statistics

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

Health Metric Santa maria Mount orab
Mental Health Not Good 17.2% 18.3%
Physical Health Not Good 14.2% 12.8%
Depression 19.5% 25.7%
Smoking 15.3% 22.9%
Binge Drinking 14.9% 18.6%
Obesity 32.8% 42.0%
Disability Percentage 10.0% 16.0%

Health Statistics Comparison: Santa maria vs Mount orab

  • In Mount orab, a higher percentage report poor mental health at 18.3% compared to 17.2% in Santa maria.
  • Higher depression rates are seen in Mount orab at 25.7% versus 19.5% in Santa maria.
  • Mount orab has a higher smoking rate at 22.9% compared to 15.3% in Santa maria.
  • More residents engage in binge drinking in Mount orab at 18.6% compared to 14.9% in Santa maria.
  • Mount orab has higher obesity rates at 42.0% compared to 32.8% in Santa maria.
  • There is a higher percentage of disabled individuals in Mount orab at 16.0% compared to 10.0% in Santa maria.

Education Levels

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

Education Level Santa maria Mount orab
No Schooling 3.9% (4,329) 0.8% (36)
High School Diploma 10.4% (11,486) 23.9% (1,037)
Less than High School 40.4% (44,477) 25.7% (1,116)
Bachelor's Degree and Higher 8.1% (8,930) 11.0% (479)

Education Levels Comparison: Santa maria vs Mount orab

  • A higher percentage of residents in Santa maria have no formal schooling at 3.9% compared to 0.8% in Mount orab.
  • In Mount orab, the rate of residents with high school diplomas is higher at 23.9% compared to 10.4% in Santa maria.
  • More residents in Santa maria have less than a high school education at 40.4% compared to 25.7% in Mount orab.
  • In Mount orab, a larger share of residents have a bachelor's degree or higher at 11.0% 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.