Demographics details for Oklahoma city, OK vs Lawrence, MA

Population Overview

Compare main population characteristics in Oklahoma city, OK vs Lawrence, MA.

Data Oklahoma city Lawrence
Population 694,800 87,954
Median Age 34.9 years 31.5 years
Median Income $64,251 $53,977
Married Families 36.0% 26.0%
Poverty Level 13% 15%
Unemployment Rate 3.5 7.1

Population Comparison: Oklahoma city vs Lawrence

  • In Oklahoma city, the population is higher at 694,800, compared to 87,954 in Lawrence.
  • Residents in Oklahoma city have a higher median age of 34.9 years compared to 31.5 years in Lawrence.
  • Oklahoma city has a higher median income of $64,251 compared to $53,977 in Lawrence.
  • A higher percentage of married families is found in Oklahoma city at 36.0% compared to 26.0% in Lawrence.
  • The poverty level is higher in Lawrence at 15%, compared to 13% in Oklahoma city.
  • Lawrence has a higher unemployment rate at 7.1% compared to 3.5% in Oklahoma city.

Demographics

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

Demographic Oklahoma city Lawrence
Black 13 5
White 48 -4
Asian 4 2
Hispanic 20 82
Two or More Races 12 15
American Indian 3 Data is updating

Demographics Comparison: Oklahoma city vs Lawrence

  • A higher percentage of Black residents are in Oklahoma city at 13% compared to 5% in Lawrence.
  • Oklahoma city has a higher percentage of White residents at 48% compared to -4% in Lawrence.
  • The Asian population is larger in Oklahoma city at 4% compared to 2% in Lawrence.
  • Lawrence has a higher percentage of Hispanic residents at 82%, compared to 20% in Oklahoma city.
  • The percentage of residents identifying as two or more races is higher in Lawrence at 15%, compared to 12% in Oklahoma city.
  • A greater percentage of American Indian residents live in Oklahoma city at 3% compared to 0% in Lawrence.

Health Statistics

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

Health Metric Oklahoma city Lawrence
Mental Health Not Good 18.1% 18.9%
Physical Health Not Good 12.3% 14.2%
Depression 24.8% 22.4%
Smoking 18.2% 17.3%
Binge Drinking 13.1% 14.5%
Obesity 38.0% 37.4%
Disability Percentage 12.0% 14.0%

Health Statistics Comparison: Oklahoma city vs Lawrence

  • In Lawrence, a higher percentage report poor mental health at 18.9% compared to 18.1% in Oklahoma city.
  • Depression is more prevalent in Oklahoma city at 24.8% compared to 22.4% in Lawrence.
  • Smoking is more prevalent in Oklahoma city at 18.2% compared to 17.3% in Lawrence.
  • More residents engage in binge drinking in Lawrence at 14.5% compared to 13.1% in Oklahoma city.
  • Obesity rates are higher in Oklahoma city at 38.0% compared to 37.4% in Lawrence.
  • There is a higher percentage of disabled individuals in Lawrence at 14.0% compared to 12.0% in Oklahoma city.

Education Levels

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

Education Level Oklahoma city Lawrence
No Schooling 1.3% (9,023) 2.7% (2,366)
High School Diploma 13.0% (90,670) 18.6% (16,316)
Less than High School 14.0% (97,428) 34.1% (29,963)
Bachelor's Degree and Higher 21.3% (148,128) 9.2% (8,067)

Education Levels Comparison: Oklahoma city vs Lawrence

  • In Lawrence, a larger percentage of residents lack formal schooling at 2.7% compared to 1.3% in Oklahoma city.
  • In Lawrence, the rate of residents with high school diplomas is higher at 18.6% compared to 13.0% in Oklahoma city.
  • The percentage of residents with less than a high school education is higher in Lawrence at 34.1%, compared to 14.0% in Oklahoma city.
  • A higher percentage of residents in Oklahoma city hold a bachelor's degree or higher at 21.3% compared to 9.2% in Lawrence.

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.