Demographics details for Kingsburg, CA vs Severna park, MD
Population Overview
Compare main population characteristics in Kingsburg, CA vs Severna park, MD.
| Data | Kingsburg | Severna park |
|---|---|---|
| Population | 12,613 | 40,452 |
| Median Age | 37.6 years | 41.5 years |
| Median Income | $74,897 | $164,288 |
| Married Families | 36.0% | 48.0% |
| Poverty Level | 12% | 3% |
| Unemployment Rate | 4.2 | 3.2 |
Population Comparison: Kingsburg vs Severna park
- The population in Severna park is higher at 40,452, compared to 12,613 in Kingsburg.
- The median age in Severna park is higher at 41.5 years, compared to 37.6 years in Kingsburg.
- Severna park has a higher median income of $164,288, compared to $74,897 in Kingsburg.
- In Severna park, the percentage of married families is higher at 48.0%, compared to 36.0% in Kingsburg.
- Kingsburg has a higher poverty level at 12% compared to 3% in Severna park.
- The unemployment rate in Kingsburg is higher at 4.2%, compared to 3.2% in Severna park.
Demographics
Demographics Kingsburg vs Severna park provide insight into the diversity of the communities to compare.
| Demographic | Kingsburg | Severna park |
|---|---|---|
| Black | 1 | 3 |
| White | 32 | 86 |
| Asian | 7 | 3 |
| Hispanic | 46 | 3 |
| Two or More Races | 14 | 5 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Kingsburg vs Severna park
- In Severna park, the percentage of Black residents is higher at 3% compared to 1% in Kingsburg.
- The percentage of White residents is higher in Severna park at 86% compared to 32% in Kingsburg.
- The Asian population is larger in Kingsburg at 7% compared to 3% in Severna park.
- The Hispanic community is larger in Kingsburg at 46% compared to 3% in Severna park.
- More residents identify as two or more races in Kingsburg at 14% compared to 5% in Severna park.
- The percentage of American Indian residents is the same in both Kingsburg and Severna park at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Kingsburg | Severna park |
|---|---|---|
| Mental Health Not Good | 16.1% | 13.1% |
| Physical Health Not Good | 11.0% | 7.3% |
| Depression | 17.9% | 19.9% |
| Smoking | 12.1% | 9.0% |
| Binge Drinking | 15.9% | 18.4% |
| Obesity | 34.5% | 31.9% |
| Disability Percentage | 11.0% | 8.0% |
Health Statistics Comparison: Kingsburg vs Severna park
- More residents in Kingsburg report poor mental health at 16.1% compared to 13.1% in Severna park.
- Higher depression rates are seen in Severna park at 19.9% versus 17.9% in Kingsburg.
- Smoking is more prevalent in Kingsburg at 12.1% compared to 9.0% in Severna park.
- More residents engage in binge drinking in Severna park at 18.4% compared to 15.9% in Kingsburg.
- Obesity rates are higher in Kingsburg at 34.5% compared to 31.9% in Severna park.
- Disability percentages are higher in Kingsburg at 11.0% compared to 8.0% in Severna park.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Kingsburg | Severna park |
|---|---|---|
| No Schooling | 1.1% (144) | 0.4% (145) |
| High School Diploma | 17.2% (2,168) | 10.9% (4,392) |
| Less than High School | 17.8% (2,242) | 4.3% (1,731) |
| Bachelor's Degree and Higher | 13.8% (1,739) | 38.1% (15,411) |
Education Levels Comparison: Kingsburg vs Severna park
- A higher percentage of residents in Kingsburg have no formal schooling at 1.1% compared to 0.4% in Severna park.
- A higher percentage of residents in Kingsburg hold a high school diploma at 17.2% compared to 10.9% in Severna park.
- More residents in Kingsburg have less than a high school education at 17.8% compared to 4.3% in Severna park.
- In Severna park, a larger share of residents have a bachelor's degree or higher at 38.1% compared to 13.8% in Kingsburg.
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.