Demographics details for Shepherd, MT vs Oklahoma city, OK

Population Overview

Compare main population characteristics in Shepherd, MT vs Oklahoma city, OK.

Data Shepherd Oklahoma city
Population 772 694,800
Median Age 40.5 years 34.9 years
Median Income $125,179 $64,251
Married Families 47.0% 36.0%
Poverty Level 5% 13%
Unemployment Rate 2.5 3.5

Population Comparison: Shepherd vs Oklahoma city

  • The population in Oklahoma city is higher at 694,800, compared to 772 in Shepherd.
  • Residents in Shepherd have a higher median age of 40.5 years compared to 34.9 years in Oklahoma city.
  • Shepherd has a higher median income of $125,179 compared to $64,251 in Oklahoma city.
  • A higher percentage of married families is found in Shepherd at 47.0% compared to 36.0% in Oklahoma city.
  • The poverty level is higher in Oklahoma city at 13%, compared to 5% in Shepherd.
  • Oklahoma city has a higher unemployment rate at 3.5% compared to 2.5% in Shepherd.

Demographics

Demographics Shepherd vs Oklahoma city provide insight into the diversity of the communities to compare.

Demographic Shepherd Oklahoma city
Black Data is updating 13
White 86 48
Asian Data is updating 4
Hispanic Data is updating 20
Two or More Races Data is updating 12
American Indian 14 3

Demographics Comparison: Shepherd vs Oklahoma city

  • In Oklahoma city, the percentage of Black residents is higher at 13% compared to 0% in Shepherd.
  • Shepherd has a higher percentage of White residents at 86% compared to 48% in Oklahoma city.
  • In Oklahoma city, the Asian population stands at 4%, greater than 0% in Shepherd.
  • Oklahoma city has a higher percentage of Hispanic residents at 20%, compared to 0% in Shepherd.
  • The percentage of residents identifying as two or more races is higher in Oklahoma city at 12%, compared to 0% in Shepherd.
  • A greater percentage of American Indian residents live in Shepherd at 14% compared to 3% in Oklahoma city.

Health Statistics

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

Health Metric Shepherd Oklahoma city
Mental Health Not Good 16.7% 18.1%
Physical Health Not Good 11.2% 12.3%
Depression 28.0% 24.8%
Smoking 16.7% 18.2%
Binge Drinking 23.7% 13.1%
Obesity 33.2% 38.0%
Disability Percentage 6.0% 12.0%

Health Statistics Comparison: Shepherd vs Oklahoma city

  • In Oklahoma city, a higher percentage report poor mental health at 18.1% compared to 16.7% in Shepherd.
  • Depression is more prevalent in Shepherd at 28.0% compared to 24.8% in Oklahoma city.
  • Oklahoma city has a higher smoking rate at 18.2% compared to 16.7% in Shepherd.
  • Binge drinking is more common in Shepherd at 23.7% compared to 13.1% in Oklahoma city.
  • Oklahoma city has higher obesity rates at 38.0% compared to 33.2% in Shepherd.
  • There is a higher percentage of disabled individuals in Oklahoma city at 12.0% compared to 6.0% in Shepherd.

Education Levels

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

Education Level Shepherd Oklahoma city
No Schooling 0.0% (Data is updating) 1.3% (9,023)
High School Diploma 16.2% (125) 13.0% (90,670)
Less than High School 8.0% (62) 14.0% (97,428)
Bachelor's Degree and Higher 17.9% (138) 21.3% (148,128)

Education Levels Comparison: Shepherd vs Oklahoma city

  • In Oklahoma city, a larger percentage of residents lack formal schooling at 1.3% compared to 0.0% in Shepherd.
  • A higher percentage of residents in Shepherd hold a high school diploma at 16.2% compared to 13.0% in Oklahoma city.
  • The percentage of residents with less than a high school education is higher in Oklahoma city at 14.0%, compared to 8.0% in Shepherd.
  • In Oklahoma city, a larger share of residents have a bachelor's degree or higher at 21.3% compared to 17.9% in Shepherd.

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.