Demographics details for Montgomery village, MD vs Indianola, IA

Population Overview

Compare main population characteristics in Montgomery village, MD vs Indianola, IA.

Data Montgomery village Indianola
Population 34,748 16,069
Median Age 36.8 years 34.7 years
Median Income $91,703 $73,534
Married Families 38.0% 37.0%
Poverty Level 7% 7%
Unemployment Rate 4.2 3.2

Population Comparison: Montgomery village vs Indianola

  • In Montgomery village, the population is higher at 34,748, compared to 16,069 in Indianola.
  • Residents in Montgomery village have a higher median age of 36.8 years compared to 34.7 years in Indianola.
  • Montgomery village has a higher median income of $91,703 compared to $73,534 in Indianola.
  • A higher percentage of married families is found in Montgomery village at 38.0% compared to 37.0% in Indianola.
  • The poverty level is identical in both Montgomery village and Indianola at 7%.
  • The unemployment rate in Montgomery village is higher at 4.2%, compared to 3.2% in Indianola.

Demographics

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

Demographic Montgomery village Indianola
Black 23 1
White 19 91
Asian 13 2
Hispanic 35 2
Two or More Races 10 4
American Indian Data is updating Data is updating

Demographics Comparison: Montgomery village vs Indianola

  • A higher percentage of Black residents are in Montgomery village at 23% compared to 1% in Indianola.
  • The percentage of White residents is higher in Indianola at 91% compared to 19% in Montgomery village.
  • The Asian population is larger in Montgomery village at 13% compared to 2% in Indianola.
  • The Hispanic community is larger in Montgomery village at 35% compared to 2% in Indianola.
  • More residents identify as two or more races in Montgomery village at 10% compared to 4% in Indianola.
  • The percentage of American Indian residents is the same in both Montgomery village and Indianola at 0%.

Health Statistics

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

Health Metric Montgomery village Indianola
Mental Health Not Good 14.5% 15.7%
Physical Health Not Good 9.0% 9.7%
Depression 18.9% 19.0%
Smoking 11.3% 16.5%
Binge Drinking 12.1% 21.4%
Obesity 27.8% 39.2%
Disability Percentage 10.0% 12.0%

Health Statistics Comparison: Montgomery village vs Indianola

  • In Indianola, a higher percentage report poor mental health at 15.7% compared to 14.5% in Montgomery village.
  • Higher depression rates are seen in Indianola at 19.0% versus 18.9% in Montgomery village.
  • Indianola has a higher smoking rate at 16.5% compared to 11.3% in Montgomery village.
  • More residents engage in binge drinking in Indianola at 21.4% compared to 12.1% in Montgomery village.
  • Indianola has higher obesity rates at 39.2% compared to 27.8% in Montgomery village.
  • There is a higher percentage of disabled individuals in Indianola at 12.0% 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 Indianola
No Schooling 2.7% (955) 0.3% (43)
High School Diploma 12.2% (4,244) 14.5% (2,326)
Less than High School 14.3% (4,958) 3.5% (566)
Bachelor's Degree and Higher 28.9% (10,032) 20.0% (3,217)

Education Levels Comparison: Montgomery village vs Indianola

  • A higher percentage of residents in Montgomery village have no formal schooling at 2.7% compared to 0.3% in Indianola.
  • In Indianola, the rate of residents with high school diplomas is higher at 14.5% compared to 12.2% in Montgomery village.
  • More residents in Montgomery village have less than a high school education at 14.3% compared to 3.5% in Indianola.
  • A higher percentage of residents in Montgomery village hold a bachelor's degree or higher at 28.9% compared to 20.0% in Indianola.

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.