Demographics details for Kansas city, MO vs Lynn, MA
Population Overview
Compare main population characteristics in Kansas city, MO vs Lynn, MA.
| Data | Kansas city | Lynn |
|---|---|---|
| Population | 509,297 | 100,891 |
| Median Age | 35.4 years | 36.2 years |
| Median Income | $65,256 | $70,046 |
| Married Families | 32.0% | 31.0% |
| Poverty Level | 15% | 12% |
| Unemployment Rate | 4.3 | 4.6 |
Population Comparison: Kansas city vs Lynn
- In Kansas city, the population is higher at 509,297, compared to 100,891 in Lynn.
- The median age in Lynn is higher at 36.2 years, compared to 35.4 years in Kansas city.
- Lynn has a higher median income of $70,046, compared to $65,256 in Kansas city.
- A higher percentage of married families is found in Kansas city at 32.0% compared to 31.0% in Lynn.
- Kansas city has a higher poverty level at 15% compared to 12% in Lynn.
- Lynn has a higher unemployment rate at 4.6% compared to 4.3% in Kansas city.
Demographics
Demographics Kansas city vs Lynn provide insight into the diversity of the communities to compare.
| Demographic | Kansas city | Lynn |
|---|---|---|
| Black | 26 | 13 |
| White | 53 | 25 |
| Asian | 3 | 6 |
| Hispanic | 11 | 43 |
| Two or More Races | 7 | 12 |
| American Indian | Data is updating | 1 |
Demographics Comparison: Kansas city vs Lynn
- A higher percentage of Black residents are in Kansas city at 26% compared to 13% in Lynn.
- Kansas city has a higher percentage of White residents at 53% compared to 25% in Lynn.
- In Lynn, the Asian population stands at 6%, greater than 3% in Kansas city.
- Lynn has a higher percentage of Hispanic residents at 43%, compared to 11% in Kansas city.
- The percentage of residents identifying as two or more races is higher in Lynn at 12%, compared to 7% in Kansas city.
- In Lynn, the percentage of American Indian residents is higher at 1%, compared to 0% in Kansas city.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Kansas city | Lynn |
|---|---|---|
| Mental Health Not Good | 18.0% | 18.5% |
| Physical Health Not Good | 12.5% | 12.1% |
| Depression | 21.7% | 22.9% |
| Smoking | 18.7% | 17.3% |
| Binge Drinking | 18.2% | 15.6% |
| Obesity | 40.9% | 33.7% |
| Disability Percentage | 12.0% | 15.0% |
Health Statistics Comparison: Kansas city vs Lynn
- In Lynn, a higher percentage report poor mental health at 18.5% compared to 18.0% in Kansas city.
- Higher depression rates are seen in Lynn at 22.9% versus 21.7% in Kansas city.
- Smoking is more prevalent in Kansas city at 18.7% compared to 17.3% in Lynn.
- Binge drinking is more common in Kansas city at 18.2% compared to 15.6% in Lynn.
- Obesity rates are higher in Kansas city at 40.9% compared to 33.7% in Lynn.
- There is a higher percentage of disabled individuals in Lynn at 15.0% compared to 12.0% in Kansas city.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Kansas city | Lynn |
|---|---|---|
| No Schooling | 1.0% (4,964) | 3.6% (3,642) |
| High School Diploma | 14.5% (73,825) | 17.3% (17,461) |
| Less than High School | 9.4% (47,724) | 27.3% (27,554) |
| Bachelor's Degree and Higher | 25.1% (128,008) | 14.4% (14,513) |
Education Levels Comparison: Kansas city vs Lynn
- In Lynn, a larger percentage of residents lack formal schooling at 3.6% compared to 1.0% in Kansas city.
- In Lynn, the rate of residents with high school diplomas is higher at 17.3% compared to 14.5% in Kansas city.
- The percentage of residents with less than a high school education is higher in Lynn at 27.3%, compared to 9.4% in Kansas city.
- A higher percentage of residents in Kansas city hold a bachelor's degree or higher at 25.1% compared to 14.4% in Lynn.
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.