Demographics details for Broken arrow, OK vs Lakeville, MA

Population Overview

Compare main population characteristics in Broken arrow, OK vs Lakeville, MA.

Data Broken arrow Lakeville
Population 117,911 11,418
Median Age 36.8 years 42.0 years
Median Income $82,547 $100,000
Married Families 43.0% 60.0%
Poverty Level 10% 5%
Unemployment Rate 3.3 3.5

Population Comparison: Broken arrow vs Lakeville

  • In Broken arrow, the population is higher at 117,911, compared to 11,418 in Lakeville.
  • The median age in Lakeville is higher at 42.0 years, compared to 36.8 years in Broken arrow.
  • Lakeville has a higher median income of $100,000, compared to $82,547 in Broken arrow.
  • In Lakeville, the percentage of married families is higher at 60.0%, compared to 43.0% in Broken arrow.
  • Broken arrow has a higher poverty level at 10% compared to 5% in Lakeville.
  • Lakeville has a higher unemployment rate at 3.5% compared to 3.3% in Broken arrow.

Demographics

Demographics Broken arrow vs Lakeville provide insight into the diversity of the communities to compare.

Demographic Broken arrow Lakeville
Black 5 2
White 65 90
Asian 4 5
Hispanic 10 2
Two or More Races 11 1
American Indian 5 Data is updating

Demographics Comparison: Broken arrow vs Lakeville

  • A higher percentage of Black residents are in Broken arrow at 5% compared to 2% in Lakeville.
  • The percentage of White residents is higher in Lakeville at 90% compared to 65% in Broken arrow.
  • In Lakeville, the Asian population stands at 5%, greater than 4% in Broken arrow.
  • The Hispanic community is larger in Broken arrow at 10% compared to 2% in Lakeville.
  • More residents identify as two or more races in Broken arrow at 11% compared to 1% in Lakeville.
  • A greater percentage of American Indian residents live in Broken arrow at 5% compared to 0% in Lakeville.

Health Statistics

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

Health Metric Broken arrow Lakeville
Mental Health Not Good 16.8% Data is updating%
Physical Health Not Good 10.3% Data is updating%
Depression 25.0% Data is updating%
Smoking 14.9% Data is updating%
Binge Drinking 15.0% Data is updating%
Obesity 34.6% Data is updating%
Disability Percentage 11.0% Data is updating%

Health Statistics Comparison: Broken arrow vs Lakeville

  • More residents in Broken arrow report poor mental health at 16.8% compared to 0.0% in Lakeville.
  • Depression is more prevalent in Broken arrow at 25.0% compared to 0.0% in Lakeville.
  • Smoking is more prevalent in Broken arrow at 14.9% compared to 0.0% in Lakeville.
  • Binge drinking is more common in Broken arrow at 15.0% compared to 0.0% in Lakeville.
  • Obesity rates are higher in Broken arrow at 34.6% compared to 0.0% in Lakeville.
  • Disability percentages are higher in Broken arrow at 11.0% compared to 0.0% in Lakeville.

Education Levels

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

Education Level Broken arrow Lakeville
No Schooling 0.8% (935) 0.0% (Data is updating)
High School Diploma 13.2% (15,535) 0.0% (Data is updating)
Less than High School 6.6% (7,783) 0.0% (Data is updating)
Bachelor's Degree and Higher 22.2% (26,196) 0.0% (Data is updating)

Education Levels Comparison: Broken arrow vs Lakeville

  • A higher percentage of residents in Broken arrow have no formal schooling at 0.8% compared to 0.0% in Lakeville.
  • A higher percentage of residents in Broken arrow hold a high school diploma at 13.2% compared to 0.0% in Lakeville.
  • More residents in Broken arrow have less than a high school education at 6.6% compared to 0.0% in Lakeville.
  • A higher percentage of residents in Broken arrow hold a bachelor's degree or higher at 22.2% compared to 0.0% in Lakeville.

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.