Demographics details for Montgomery village, MD vs Tulsa, OK

Population Overview

Compare main population characteristics in Montgomery village, MD vs Tulsa, OK.

Data Montgomery village Tulsa
Population 34,748 411,867
Median Age 36.8 years 35.6 years
Median Income $91,703 $56,648
Married Families 38.0% 33.0%
Poverty Level 7% 16%
Unemployment Rate 4.2 3.9

Population Comparison: Montgomery village vs Tulsa

  • The population in Tulsa is higher at 411,867, compared to 34,748 in Montgomery village.
  • Residents in Montgomery village have a higher median age of 36.8 years compared to 35.6 years in Tulsa.
  • Montgomery village has a higher median income of $91,703 compared to $56,648 in Tulsa.
  • A higher percentage of married families is found in Montgomery village at 38.0% compared to 33.0% in Tulsa.
  • The poverty level is higher in Tulsa at 16%, compared to 7% in Montgomery village.
  • The unemployment rate in Montgomery village is higher at 4.2%, compared to 3.9% in Tulsa.

Demographics

Demographics Montgomery village vs Tulsa provide insight into the diversity of the communities to compare.

Demographic Montgomery village Tulsa
Black 23 15
White 19 48
Asian 13 3
Hispanic 35 17
Two or More Races 10 13
American Indian Data is updating 4

Demographics Comparison: Montgomery village vs Tulsa

  • A higher percentage of Black residents are in Montgomery village at 23% compared to 15% in Tulsa.
  • The percentage of White residents is higher in Tulsa at 48% compared to 19% in Montgomery village.
  • The Asian population is larger in Montgomery village at 13% compared to 3% in Tulsa.
  • The Hispanic community is larger in Montgomery village at 35% compared to 17% in Tulsa.
  • The percentage of residents identifying as two or more races is higher in Tulsa at 13%, compared to 10% in Montgomery village.
  • In Tulsa, the percentage of American Indian residents is higher at 4%, compared to 0% in Montgomery village.

Health Statistics

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

Health Metric Montgomery village Tulsa
Mental Health Not Good 14.5% 18.6%
Physical Health Not Good 9.0% 12.7%
Depression 18.9% 25.2%
Smoking 11.3% 18.7%
Binge Drinking 12.1% 13.3%
Obesity 27.8% 38.1%
Disability Percentage 10.0% 14.0%

Health Statistics Comparison: Montgomery village vs Tulsa

  • In Tulsa, a higher percentage report poor mental health at 18.6% compared to 14.5% in Montgomery village.
  • Higher depression rates are seen in Tulsa at 25.2% versus 18.9% in Montgomery village.
  • Tulsa has a higher smoking rate at 18.7% compared to 11.3% in Montgomery village.
  • More residents engage in binge drinking in Tulsa at 13.3% compared to 12.1% in Montgomery village.
  • Tulsa has higher obesity rates at 38.1% compared to 27.8% in Montgomery village.
  • There is a higher percentage of disabled individuals in Tulsa at 14.0% compared to 10.0% in Montgomery village.

Education Levels

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

Education Level Montgomery village Tulsa
No Schooling 2.7% (955) 1.2% (5,029)
High School Diploma 12.2% (4,244) 14.0% (57,640)
Less than High School 14.3% (4,958) 13.8% (56,774)
Bachelor's Degree and Higher 28.9% (10,032) 21.7% (89,557)

Education Levels Comparison: Montgomery village vs Tulsa

  • A higher percentage of residents in Montgomery village have no formal schooling at 2.7% compared to 1.2% in Tulsa.
  • In Tulsa, the rate of residents with high school diplomas is higher at 14.0% compared to 12.2% in Montgomery village.
  • More residents in Montgomery village have less than a high school education at 14.3% compared to 13.8% in Tulsa.
  • A higher percentage of residents in Montgomery village hold a bachelor's degree or higher at 28.9% compared to 21.7% in Tulsa.

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.