Demographics details for Howard, CO vs Lawrence, KS
Population Overview
Compare main population characteristics in Howard, CO vs Lawrence, KS.
| Data | Howard | Lawrence |
|---|---|---|
| Population | 976 | 95,794 |
| Median Age | 45.0 years | 28.8 years |
| Median Income | $55,970 | $59,834 |
| Married Families | 64.0% | 32.0% |
| Poverty Level | 10% | 12% |
| Unemployment Rate | 3.5 | 3.9 |
Population Comparison: Howard vs Lawrence
- The population in Lawrence is higher at 95,794, compared to 976 in Howard.
- Residents in Howard have a higher median age of 45.0 years compared to 28.8 years in Lawrence.
- Lawrence has a higher median income of $59,834, compared to $55,970 in Howard.
- A higher percentage of married families is found in Howard at 64.0% compared to 32.0% in Lawrence.
- The poverty level is higher in Lawrence at 12%, compared to 10% in Howard.
- Lawrence has a higher unemployment rate at 3.9% compared to 3.5% in Howard.
Demographics
Demographics Howard vs Lawrence provide insight into the diversity of the communities to compare.
| Demographic | Howard | Lawrence |
|---|---|---|
| Black | 3 | 5 |
| White | 90 | 71 |
| Asian | Data is updating | 6 |
| Hispanic | 5 | 7 |
| Two or More Races | 2 | 9 |
| American Indian | Data is updating | 2 |
Demographics Comparison: Howard vs Lawrence
- In Lawrence, the percentage of Black residents is higher at 5% compared to 3% in Howard.
- Howard has a higher percentage of White residents at 90% compared to 71% in Lawrence.
- In Lawrence, the Asian population stands at 6%, greater than 0% in Howard.
- Lawrence has a higher percentage of Hispanic residents at 7%, compared to 5% in Howard.
- The percentage of residents identifying as two or more races is higher in Lawrence at 9%, compared to 2% in Howard.
- In Lawrence, the percentage of American Indian residents is higher at 2%, compared to 0% in Howard.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Howard | Lawrence |
|---|---|---|
| Mental Health Not Good | 17.0% | 16.5% |
| Physical Health Not Good | 11.2% | 9.5% |
| Depression | 24.2% | 22.3% |
| Smoking | 17.5% | 14.8% |
| Binge Drinking | 18.6% | 19.6% |
| Obesity | 27.3% | 32.8% |
| Disability Percentage | 19.0% | 10.0% |
Health Statistics Comparison: Howard vs Lawrence
- More residents in Howard report poor mental health at 17.0% compared to 16.5% in Lawrence.
- Depression is more prevalent in Howard at 24.2% compared to 22.3% in Lawrence.
- Smoking is more prevalent in Howard at 17.5% compared to 14.8% in Lawrence.
- More residents engage in binge drinking in Lawrence at 19.6% compared to 18.6% in Howard.
- Lawrence has higher obesity rates at 32.8% compared to 27.3% in Howard.
- Disability percentages are higher in Howard at 19.0% 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 | Howard | Lawrence |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 0.5% (466) |
| High School Diploma | 31.8% (310) | 8.2% (7,882) |
| Less than High School | 1.4% (14) | 4.0% (3,784) |
| Bachelor's Degree and Higher | 19.1% (186) | 31.1% (29,776) |
Education Levels Comparison: Howard vs Lawrence
- In Lawrence, a larger percentage of residents lack formal schooling at 0.5% compared to 0.0% in Howard.
- A higher percentage of residents in Howard hold a high school diploma at 31.8% compared to 8.2% in Lawrence.
- The percentage of residents with less than a high school education is higher in Lawrence at 4.0%, compared to 1.4% in Howard.
- In Lawrence, a larger share of residents have a bachelor's degree or higher at 31.1% compared to 19.1% in Howard.
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.