Demographics details for Penn valley, CA vs Lakeland, FL
Population Overview
Compare main population characteristics in Penn valley, CA vs Lakeland, FL.
Data | Penn valley | Lakeland |
---|---|---|
Population | 1,188 | 120,071 |
Median Age | 55.7 years | 40.6 years |
Median Income | $65,882 | $58,290 |
Married Families | 60.0% | 34.0% |
Poverty Level | 8% | 14% |
Unemployment Rate | 5.1 | 4.5 |
Population Comparison: Penn valley vs Lakeland
- The population in Lakeland is higher at 120,071, compared to 1,188 in Penn valley.
- Residents in Penn valley have a higher median age of 55.7 years compared to 40.6 years in Lakeland.
- Penn valley has a higher median income of $65,882 compared to $58,290 in Lakeland.
- A higher percentage of married families is found in Penn valley at 60.0% compared to 34.0% in Lakeland.
- The poverty level is higher in Lakeland at 14%, compared to 8% in Penn valley.
- The unemployment rate in Penn valley is higher at 5.1%, compared to 4.5% in Lakeland.
Demographics
Demographics Penn valley vs Lakeland provide insight into the diversity of the communities to compare.
Demographic | Penn valley | Lakeland |
---|---|---|
Black | Data is updating | 19 |
White | 86 | 56 |
Asian | Data is updating | 2 |
Hispanic | 7 | 17 |
Two or More Races | 7 | 6 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Penn valley vs Lakeland
- In Lakeland, the percentage of Black residents is higher at 19% compared to 0% in Penn valley.
- Penn valley has a higher percentage of White residents at 86% compared to 56% in Lakeland.
- In Lakeland, the Asian population stands at 2%, greater than 0% in Penn valley.
- Lakeland has a higher percentage of Hispanic residents at 17%, compared to 7% in Penn valley.
- More residents identify as two or more races in Penn valley at 7% compared to 6% in Lakeland.
- The percentage of American Indian residents is the same in both Penn valley and Lakeland at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Penn valley | Lakeland |
---|---|---|
Mental Health Not Good | 18.4% | 16.7% |
Physical Health Not Good | 11.8% | 12.7% |
Depression | 22.9% | 20.2% |
Smoking | 14.8% | 21.0% |
Binge Drinking | 17.9% | 15.2% |
Obesity | 29.5% | 36.6% |
Disability Percentage | 30.0% | 14.0% |
Health Statistics Comparison: Penn valley vs Lakeland
- More residents in Penn valley report poor mental health at 18.4% compared to 16.7% in Lakeland.
- Depression is more prevalent in Penn valley at 22.9% compared to 20.2% in Lakeland.
- Lakeland has a higher smoking rate at 21.0% compared to 14.8% in Penn valley.
- Binge drinking is more common in Penn valley at 17.9% compared to 15.2% in Lakeland.
- Lakeland has higher obesity rates at 36.6% compared to 29.5% in Penn valley.
- Disability percentages are higher in Penn valley at 30.0% compared to 14.0% in Lakeland.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Penn valley | Lakeland |
---|---|---|
No Schooling | 4.9% (58) | 0.9% (1,125) |
High School Diploma | 21.6% (257) | 18.8% (22,520) |
Less than High School | 8.2% (98) | 10.9% (13,131) |
Bachelor's Degree and Higher | 12.3% (146) | 17.7% (21,245) |
Education Levels Comparison: Penn valley vs Lakeland
- A higher percentage of residents in Penn valley have no formal schooling at 4.9% compared to 0.9% in Lakeland.
- A higher percentage of residents in Penn valley hold a high school diploma at 21.6% compared to 18.8% in Lakeland.
- The percentage of residents with less than a high school education is higher in Lakeland at 10.9%, compared to 8.2% in Penn valley.
- In Lakeland, a larger share of residents have a bachelor's degree or higher at 17.7% compared to 12.3% in Penn valley.
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.