Demographics details for Culleoka, TN vs Lawrence, MA
Population Overview
Compare main population characteristics in Culleoka, TN vs Lawrence, MA.
Data | Culleoka | Lawrence |
---|---|---|
Population | 340 | 87,954 |
Median Age | 36.0 years | 31.5 years |
Median Income | $50,000 | $53,977 |
Married Families | 70.0% | 26.0% |
Poverty Level | 12% | 15% |
Unemployment Rate | 4.5 | 7.1 |
Population Comparison: Culleoka vs Lawrence
- The population in Lawrence is higher at 87,954, compared to 340 in Culleoka.
- Residents in Culleoka have a higher median age of 36.0 years compared to 31.5 years in Lawrence.
- Lawrence has a higher median income of $53,977, compared to $50,000 in Culleoka.
- A higher percentage of married families is found in Culleoka at 70.0% compared to 26.0% in Lawrence.
- The poverty level is higher in Lawrence at 15%, compared to 12% in Culleoka.
- Lawrence has a higher unemployment rate at 7.1% compared to 4.5% in Culleoka.
Demographics
Demographics Culleoka vs Lawrence provide insight into the diversity of the communities to compare.
Demographic | Culleoka | Lawrence |
---|---|---|
Black | 4 | 5 |
White | 90 | -4 |
Asian | 2 | 2 |
Hispanic | 3 | 82 |
Two or More Races | 1 | 15 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Culleoka vs Lawrence
- In Lawrence, the percentage of Black residents is higher at 5% compared to 4% in Culleoka.
- Culleoka has a higher percentage of White residents at 90% compared to -4% in Lawrence.
- Both Culleoka and Lawrence have the same percentage of Asian residents at 2%.
- Lawrence has a higher percentage of Hispanic residents at 82%, compared to 3% in Culleoka.
- The percentage of residents identifying as two or more races is higher in Lawrence at 15%, compared to 1% in Culleoka.
- The percentage of American Indian residents is the same in both Culleoka and Lawrence at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Culleoka | Lawrence |
---|---|---|
Mental Health Not Good | Data is updating% | 18.9% |
Physical Health Not Good | Data is updating% | 14.2% |
Depression | Data is updating% | 22.4% |
Smoking | Data is updating% | 17.3% |
Binge Drinking | Data is updating% | 14.5% |
Obesity | Data is updating% | 37.4% |
Disability Percentage | Data is updating% | 14.0% |
Health Statistics Comparison: Culleoka vs Lawrence
- In Lawrence, a higher percentage report poor mental health at 18.9% compared to 0.0% in Culleoka.
- Higher depression rates are seen in Lawrence at 22.4% versus 0.0% in Culleoka.
- Lawrence has a higher smoking rate at 17.3% compared to 0.0% in Culleoka.
- More residents engage in binge drinking in Lawrence at 14.5% compared to 0.0% in Culleoka.
- Lawrence has higher obesity rates at 37.4% compared to 0.0% in Culleoka.
- There is a higher percentage of disabled individuals in Lawrence at 14.0% compared to 0.0% in Culleoka.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Culleoka | Lawrence |
---|---|---|
No Schooling | 0.0% (Data is updating) | 2.7% (2,366) |
High School Diploma | 0.0% (Data is updating) | 18.6% (16,316) |
Less than High School | 0.0% (Data is updating) | 34.1% (29,963) |
Bachelor's Degree and Higher | 0.0% (Data is updating) | 9.2% (8,067) |
Education Levels Comparison: Culleoka vs Lawrence
- In Lawrence, a larger percentage of residents lack formal schooling at 2.7% compared to 0.0% in Culleoka.
- In Lawrence, the rate of residents with high school diplomas is higher at 18.6% compared to 0.0% in Culleoka.
- The percentage of residents with less than a high school education is higher in Lawrence at 34.1%, compared to 0.0% in Culleoka.
- In Lawrence, a larger share of residents have a bachelor's degree or higher at 9.2% compared to 0.0% in Culleoka.
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.