Demographics details for Pie town, NM vs Lawrence, KS
Population Overview
Compare main population characteristics in Pie town, NM vs Lawrence, KS.
| Data | Pie town | Lawrence |
|---|---|---|
| Population | 178 | 95,794 |
| Median Age | 63.5 years | 28.8 years |
| Median Income | $43,295 | $59,834 |
| Married Families | 40.0% | 32.0% |
| Poverty Level | 14% | 12% |
| Unemployment Rate | 5.0 | 3.9 |
Population Comparison: Pie town vs Lawrence
- The population in Lawrence is higher at 95,794, compared to 178 in Pie town.
- Residents in Pie town have a higher median age of 63.5 years compared to 28.8 years in Lawrence.
- Lawrence has a higher median income of $59,834, compared to $43,295 in Pie town.
- A higher percentage of married families is found in Pie town at 40.0% compared to 32.0% in Lawrence.
- Pie town has a higher poverty level at 14% compared to 12% in Lawrence.
- The unemployment rate in Pie town is higher at 5.0%, compared to 3.9% in Lawrence.
Demographics
Demographics Pie town vs Lawrence provide insight into the diversity of the communities to compare.
| Demographic | Pie town | Lawrence |
|---|---|---|
| Black | Data is updating | 5 |
| White | 100 | 71 |
| Asian | Data is updating | 6 |
| Hispanic | Data is updating | 7 |
| Two or More Races | Data is updating | 9 |
| American Indian | Data is updating | 2 |
Demographics Comparison: Pie town vs Lawrence
- In Lawrence, the percentage of Black residents is higher at 5% compared to 0% in Pie town.
- Pie town has a higher percentage of White residents at 100% compared to 71% in Lawrence.
- In Lawrence, the Asian population stands at 6%, greater than 0% in Pie town.
- Lawrence has a higher percentage of Hispanic residents at 7%, compared to 0% in Pie town.
- The percentage of residents identifying as two or more races is higher in Lawrence at 9%, compared to 0% in Pie town.
- In Lawrence, the percentage of American Indian residents is higher at 2%, compared to 0% in Pie town.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Pie town | Lawrence |
|---|---|---|
| Mental Health Not Good | 17.7% | 16.5% |
| Physical Health Not Good | 12.9% | 9.5% |
| Depression | 22.4% | 22.3% |
| Smoking | 20.1% | 14.8% |
| Binge Drinking | 15.4% | 19.6% |
| Obesity | 36.1% | 32.8% |
| Disability Percentage | 47.0% | 10.0% |
Health Statistics Comparison: Pie town vs Lawrence
- More residents in Pie town report poor mental health at 17.7% compared to 16.5% in Lawrence.
- Depression is more prevalent in Pie town at 22.4% compared to 22.3% in Lawrence.
- Smoking is more prevalent in Pie town at 20.1% compared to 14.8% in Lawrence.
- More residents engage in binge drinking in Lawrence at 19.6% compared to 15.4% in Pie town.
- Obesity rates are higher in Pie town at 36.1% compared to 32.8% in Lawrence.
- Disability percentages are higher in Pie town at 47.0% 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 | Pie town | Lawrence |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 0.5% (466) |
| High School Diploma | 18.5% (33) | 8.2% (7,882) |
| Less than High School | 0.0% (Data is updating) | 4.0% (3,784) |
| Bachelor's Degree and Higher | 0.0% (Data is updating) | 31.1% (29,776) |
Education Levels Comparison: Pie town vs Lawrence
- In Lawrence, a larger percentage of residents lack formal schooling at 0.5% compared to 0.0% in Pie town.
- A higher percentage of residents in Pie town hold a high school diploma at 18.5% 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 0.0% in Pie town.
- In Lawrence, a larger share of residents have a bachelor's degree or higher at 31.1% compared to 0.0% in Pie town.
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.