Demographics details for Lawrenceville, IL vs Dixon, MO
Population Overview
Compare main population characteristics in Lawrenceville, IL vs Dixon, MO.
Data | Lawrenceville | Dixon |
---|---|---|
Population | 4,209 | 1,219 |
Median Age | 37.5 years | 32.3 years |
Median Income | $42,213 | $45,900 |
Married Families | 35.0% | 25.0% |
Poverty Level | 15% | 12% |
Unemployment Rate | 4.5 | 3.5 |
Population Comparison: Lawrenceville vs Dixon
- In Lawrenceville, the population is higher at 4,209, compared to 1,219 in Dixon.
- Residents in Lawrenceville have a higher median age of 37.5 years compared to 32.3 years in Dixon.
- Dixon has a higher median income of $45,900, compared to $42,213 in Lawrenceville.
- A higher percentage of married families is found in Lawrenceville at 35.0% compared to 25.0% in Dixon.
- Lawrenceville has a higher poverty level at 15% compared to 12% in Dixon.
- The unemployment rate in Lawrenceville is higher at 4.5%, compared to 3.5% in Dixon.
Demographics
Demographics Lawrenceville vs Dixon provide insight into the diversity of the communities to compare.
Demographic | Lawrenceville | Dixon |
---|---|---|
Black | 5 | Data is updating |
White | 86 | 98 |
Asian | 1 | Data is updating |
Hispanic | Data is updating | 2 |
Two or More Races | 8 | Data is updating |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Lawrenceville vs Dixon
- A higher percentage of Black residents are in Lawrenceville at 5% compared to 0% in Dixon.
- The percentage of White residents is higher in Dixon at 98% compared to 86% in Lawrenceville.
- The Asian population is larger in Lawrenceville at 1% compared to 0% in Dixon.
- Dixon has a higher percentage of Hispanic residents at 2%, compared to 0% in Lawrenceville.
- More residents identify as two or more races in Lawrenceville at 8% compared to 0% in Dixon.
- The percentage of American Indian residents is the same in both Lawrenceville and Dixon at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Lawrenceville | Dixon |
---|---|---|
Mental Health Not Good | 18.5% | 19.7% |
Physical Health Not Good | 13.2% | 15.1% |
Depression | 23.9% | 27.4% |
Smoking | 21.3% | 24.9% |
Binge Drinking | 17.0% | 16.3% |
Obesity | 37.5% | 42.1% |
Disability Percentage | 18.0% | 20.0% |
Health Statistics Comparison: Lawrenceville vs Dixon
- In Dixon, a higher percentage report poor mental health at 19.7% compared to 18.5% in Lawrenceville.
- Higher depression rates are seen in Dixon at 27.4% versus 23.9% in Lawrenceville.
- Dixon has a higher smoking rate at 24.9% compared to 21.3% in Lawrenceville.
- Binge drinking is more common in Lawrenceville at 17.0% compared to 16.3% in Dixon.
- Dixon has higher obesity rates at 42.1% compared to 37.5% in Lawrenceville.
- There is a higher percentage of disabled individuals in Dixon at 20.0% compared to 18.0% in Lawrenceville.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Lawrenceville | Dixon |
---|---|---|
No Schooling | 0.1% (5) | 0.3% (4) |
High School Diploma | 12.6% (531) | 17.2% (210) |
Less than High School | 17.0% (715) | 15.1% (184) |
Bachelor's Degree and Higher | 11.4% (478) | 7.6% (93) |
Education Levels Comparison: Lawrenceville vs Dixon
- In Dixon, a larger percentage of residents lack formal schooling at 0.3% compared to 0.1% in Lawrenceville.
- In Dixon, the rate of residents with high school diplomas is higher at 17.2% compared to 12.6% in Lawrenceville.
- More residents in Lawrenceville have less than a high school education at 17.0% compared to 15.1% in Dixon.
- A higher percentage of residents in Lawrenceville hold a bachelor's degree or higher at 11.4% compared to 7.6% in Dixon.
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.