Demographics details for Pasadena, MD vs New cambria, KS

Population Overview

Compare main population characteristics in Pasadena, MD vs New cambria, KS.

Data Pasadena New cambria
Population 32,161 104
Median Age 35.1 years 30.7 years
Median Income $113,944 $83,601
Married Families 43.0% 32.0%
Poverty Level 6% 9%
Unemployment Rate 4.5 3.2

Population Comparison: Pasadena vs New cambria

  • In Pasadena, the population is higher at 32,161, compared to 104 in New cambria.
  • Residents in Pasadena have a higher median age of 35.1 years compared to 30.7 years in New cambria.
  • Pasadena has a higher median income of $113,944 compared to $83,601 in New cambria.
  • A higher percentage of married families is found in Pasadena at 43.0% compared to 32.0% in New cambria.
  • The poverty level is higher in New cambria at 9%, compared to 6% in Pasadena.
  • The unemployment rate in Pasadena is higher at 4.5%, compared to 3.2% in New cambria.

Demographics

Demographics Pasadena vs New cambria provide insight into the diversity of the communities to compare.

Demographic Pasadena New cambria
Black 17 Data is updating
White 66 96
Asian 4 2
Hispanic 7 1
Two or More Races 6 1
American Indian Data is updating Data is updating

Demographics Comparison: Pasadena vs New cambria

  • A higher percentage of Black residents are in Pasadena at 17% compared to 0% in New cambria.
  • The percentage of White residents is higher in New cambria at 96% compared to 66% in Pasadena.
  • The Asian population is larger in Pasadena at 4% compared to 2% in New cambria.
  • The Hispanic community is larger in Pasadena at 7% compared to 1% in New cambria.
  • More residents identify as two or more races in Pasadena at 6% compared to 1% in New cambria.
  • The percentage of American Indian residents is the same in both Pasadena and New cambria at 0%.

Health Statistics

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

Health Metric Pasadena New cambria
Mental Health Not Good 15.4% 14.3%
Physical Health Not Good 9.3% 9.2%
Depression 21.4% 20.8%
Smoking 13.2% 16.5%
Binge Drinking 17.8% 20.0%
Obesity 35.6% 33.7%
Disability Percentage 10.0% 12.0%

Health Statistics Comparison: Pasadena vs New cambria

  • More residents in Pasadena report poor mental health at 15.4% compared to 14.3% in New cambria.
  • Depression is more prevalent in Pasadena at 21.4% compared to 20.8% in New cambria.
  • New cambria has a higher smoking rate at 16.5% compared to 13.2% in Pasadena.
  • More residents engage in binge drinking in New cambria at 20.0% compared to 17.8% in Pasadena.
  • Obesity rates are higher in Pasadena at 35.6% compared to 33.7% in New cambria.
  • There is a higher percentage of disabled individuals in New cambria at 12.0% compared to 10.0% in Pasadena.

Education Levels

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

Education Level Pasadena New cambria
No Schooling 0.6% (191) 0.0% (Data is updating)
High School Diploma 17.5% (5,624) 18.3% (19)
Less than High School 8.8% (2,835) 3.8% (4)
Bachelor's Degree and Higher 23.8% (7,658) 8.7% (9)

Education Levels Comparison: Pasadena vs New cambria

  • A higher percentage of residents in Pasadena have no formal schooling at 0.6% compared to 0.0% in New cambria.
  • In New cambria, the rate of residents with high school diplomas is higher at 18.3% compared to 17.5% in Pasadena.
  • More residents in Pasadena have less than a high school education at 8.8% compared to 3.8% in New cambria.
  • A higher percentage of residents in Pasadena hold a bachelor's degree or higher at 23.8% compared to 8.7% in New cambria.

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.