Demographics details for Montgomery village, MD vs Lawrence, KS
Population Overview
Compare main population characteristics in Montgomery village, MD vs Lawrence, KS.
Data | Montgomery village | Lawrence |
---|---|---|
Population | 34,748 | 95,794 |
Median Age | 36.8 years | 28.8 years |
Median Income | $91,703 | $59,834 |
Married Families | 38.0% | 32.0% |
Poverty Level | 7% | 12% |
Unemployment Rate | 4.2 | 3.9 |
Population Comparison: Montgomery village vs Lawrence
- The population in Lawrence is higher at 95,794, compared to 34,748 in Montgomery village.
- Residents in Montgomery village have a higher median age of 36.8 years compared to 28.8 years in Lawrence.
- Montgomery village has a higher median income of $91,703 compared to $59,834 in Lawrence.
- A higher percentage of married families is found in Montgomery village at 38.0% compared to 32.0% in Lawrence.
- The poverty level is higher in Lawrence at 12%, compared to 7% in Montgomery village.
- The unemployment rate in Montgomery village is higher at 4.2%, compared to 3.9% in Lawrence.
Demographics
Demographics Montgomery village vs Lawrence provide insight into the diversity of the communities to compare.
Demographic | Montgomery village | Lawrence |
---|---|---|
Black | 23 | 5 |
White | 19 | 71 |
Asian | 13 | 6 |
Hispanic | 35 | 7 |
Two or More Races | 10 | 9 |
American Indian | Data is updating | 2 |
Demographics Comparison: Montgomery village vs Lawrence
- A higher percentage of Black residents are in Montgomery village at 23% compared to 5% in Lawrence.
- The percentage of White residents is higher in Lawrence at 71% compared to 19% in Montgomery village.
- The Asian population is larger in Montgomery village at 13% compared to 6% in Lawrence.
- The Hispanic community is larger in Montgomery village at 35% compared to 7% in Lawrence.
- More residents identify as two or more races in Montgomery village at 10% compared to 9% in Lawrence.
- In Lawrence, the percentage of American Indian residents is higher at 2%, compared to 0% in Montgomery village.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Montgomery village | Lawrence |
---|---|---|
Mental Health Not Good | 14.5% | 16.5% |
Physical Health Not Good | 9.0% | 9.5% |
Depression | 18.9% | 22.3% |
Smoking | 11.3% | 14.8% |
Binge Drinking | 12.1% | 19.6% |
Obesity | 27.8% | 32.8% |
Disability Percentage | 10.0% | 10.0% |
Health Statistics Comparison: Montgomery village vs Lawrence
- In Lawrence, a higher percentage report poor mental health at 16.5% compared to 14.5% in Montgomery village.
- Higher depression rates are seen in Lawrence at 22.3% versus 18.9% in Montgomery village.
- Lawrence has a higher smoking rate at 14.8% compared to 11.3% in Montgomery village.
- More residents engage in binge drinking in Lawrence at 19.6% compared to 12.1% in Montgomery village.
- Lawrence has higher obesity rates at 32.8% compared to 27.8% in Montgomery village.
- Disability percentages are the same in both Montgomery village and Lawrence at 10.0%.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Montgomery village | Lawrence |
---|---|---|
No Schooling | 2.7% (955) | 0.5% (466) |
High School Diploma | 12.2% (4,244) | 8.2% (7,882) |
Less than High School | 14.3% (4,958) | 4.0% (3,784) |
Bachelor's Degree and Higher | 28.9% (10,032) | 31.1% (29,776) |
Education Levels Comparison: Montgomery village vs Lawrence
- A higher percentage of residents in Montgomery village have no formal schooling at 2.7% compared to 0.5% in Lawrence.
- A higher percentage of residents in Montgomery village hold a high school diploma at 12.2% compared to 8.2% in Lawrence.
- More residents in Montgomery village have less than a high school education at 14.3% compared to 4.0% in Lawrence.
- In Lawrence, a larger share of residents have a bachelor's degree or higher at 31.1% compared to 28.9% in Montgomery village.
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.