Demographics details for Rich hill, MO vs Lawrence, KS
Population Overview
Compare main population characteristics in Rich hill, MO vs Lawrence, KS.
| Data | Rich hill | Lawrence |
|---|---|---|
| Population | 1,244 | 95,794 |
| Median Age | 41.5 years | 28.8 years |
| Median Income | $43,205 | $59,834 |
| Married Families | 48.0% | 32.0% |
| Poverty Level | 12% | 12% |
| Unemployment Rate | 4.8 | 3.9 |
Population Comparison: Rich hill vs Lawrence
- The population in Lawrence is higher at 95,794, compared to 1,244 in Rich hill.
- Residents in Rich hill have a higher median age of 41.5 years compared to 28.8 years in Lawrence.
- Lawrence has a higher median income of $59,834, compared to $43,205 in Rich hill.
- A higher percentage of married families is found in Rich hill at 48.0% compared to 32.0% in Lawrence.
- The poverty level is identical in both Rich hill and Lawrence at 12%.
- The unemployment rate in Rich hill is higher at 4.8%, compared to 3.9% in Lawrence.
Demographics
Demographics Rich hill vs Lawrence provide insight into the diversity of the communities to compare.
| Demographic | Rich hill | Lawrence |
|---|---|---|
| Black | 1 | 5 |
| White | 91 | 71 |
| Asian | Data is updating | 6 |
| Hispanic | 2 | 7 |
| Two or More Races | 5 | 9 |
| American Indian | 1 | 2 |
Demographics Comparison: Rich hill vs Lawrence
- In Lawrence, the percentage of Black residents is higher at 5% compared to 1% in Rich hill.
- Rich hill has a higher percentage of White residents at 91% compared to 71% in Lawrence.
- In Lawrence, the Asian population stands at 6%, greater than 0% in Rich hill.
- Lawrence has a higher percentage of Hispanic residents at 7%, compared to 2% in Rich hill.
- The percentage of residents identifying as two or more races is higher in Lawrence at 9%, compared to 5% in Rich hill.
- In Lawrence, the percentage of American Indian residents is higher at 2%, compared to 1% in Rich hill.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Rich hill | Lawrence |
|---|---|---|
| Mental Health Not Good | 19.6% | 16.5% |
| Physical Health Not Good | 14.5% | 9.5% |
| Depression | 27.2% | 22.3% |
| Smoking | 25.1% | 14.8% |
| Binge Drinking | 16.8% | 19.6% |
| Obesity | 41.0% | 32.8% |
| Disability Percentage | 25.0% | 10.0% |
Health Statistics Comparison: Rich hill vs Lawrence
- More residents in Rich hill report poor mental health at 19.6% compared to 16.5% in Lawrence.
- Depression is more prevalent in Rich hill at 27.2% compared to 22.3% in Lawrence.
- Smoking is more prevalent in Rich hill at 25.1% compared to 14.8% in Lawrence.
- More residents engage in binge drinking in Lawrence at 19.6% compared to 16.8% in Rich hill.
- Obesity rates are higher in Rich hill at 41.0% compared to 32.8% in Lawrence.
- Disability percentages are higher in Rich hill at 25.0% compared to 10.0% in Lawrence.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Rich hill | Lawrence |
|---|---|---|
| No Schooling | 1.4% (17) | 0.5% (466) |
| High School Diploma | 29.9% (372) | 8.2% (7,882) |
| Less than High School | 42.6% (530) | 4.0% (3,784) |
| Bachelor's Degree and Higher | 7.4% (92) | 31.1% (29,776) |
Education Levels Comparison: Rich hill vs Lawrence
- A higher percentage of residents in Rich hill have no formal schooling at 1.4% compared to 0.5% in Lawrence.
- A higher percentage of residents in Rich hill hold a high school diploma at 29.9% compared to 8.2% in Lawrence.
- More residents in Rich hill have less than a high school education at 42.6% 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 7.4% in Rich hill.
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.