Demographics details for Sudlersville, MD vs Hilmar, CA
Population Overview
Compare main population characteristics in Sudlersville, MD vs Hilmar, CA.
Data | Sudlersville | Hilmar |
---|---|---|
Population | 516 | 11,136 |
Median Age | 44.4 years | 36.4 years |
Median Income | $40,000 | $71,753 |
Married Families | 21.0% | 42.0% |
Poverty Level | 12% | 15% |
Unemployment Rate | 3.5 | 4.5 |
Population Comparison: Sudlersville vs Hilmar
- The population in Hilmar is higher at 11,136, compared to 516 in Sudlersville.
- Residents in Sudlersville have a higher median age of 44.4 years compared to 36.4 years in Hilmar.
- Hilmar has a higher median income of $71,753, compared to $40,000 in Sudlersville.
- In Hilmar, the percentage of married families is higher at 42.0%, compared to 21.0% in Sudlersville.
- The poverty level is higher in Hilmar at 15%, compared to 12% in Sudlersville.
- Hilmar has a higher unemployment rate at 4.5% compared to 3.5% in Sudlersville.
Demographics
Demographics Sudlersville vs Hilmar provide insight into the diversity of the communities to compare.
Demographic | Sudlersville | Hilmar |
---|---|---|
Black | 5 | 1 |
White | 86 | 52 |
Asian | Data is updating | 2 |
Hispanic | 9 | 42 |
Two or More Races | Data is updating | 3 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Sudlersville vs Hilmar
- A higher percentage of Black residents are in Sudlersville at 5% compared to 1% in Hilmar.
- Sudlersville has a higher percentage of White residents at 86% compared to 52% in Hilmar.
- In Hilmar, the Asian population stands at 2%, greater than 0% in Sudlersville.
- Hilmar has a higher percentage of Hispanic residents at 42%, compared to 9% in Sudlersville.
- The percentage of residents identifying as two or more races is higher in Hilmar at 3%, compared to 0% in Sudlersville.
- The percentage of American Indian residents is the same in both Sudlersville and Hilmar at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Sudlersville | Hilmar |
---|---|---|
Mental Health Not Good | 18.1% | Data is updating% |
Physical Health Not Good | 12.1% | Data is updating% |
Depression | 22.4% | Data is updating% |
Smoking | 19.8% | Data is updating% |
Binge Drinking | 16.2% | Data is updating% |
Obesity | 39.1% | Data is updating% |
Disability Percentage | 19.0% | 14.0% |
Health Statistics Comparison: Sudlersville vs Hilmar
- More residents in Sudlersville report poor mental health at 18.1% compared to 0.0% in Hilmar.
- Depression is more prevalent in Sudlersville at 22.4% compared to 0.0% in Hilmar.
- Smoking is more prevalent in Sudlersville at 19.8% compared to 0.0% in Hilmar.
- Binge drinking is more common in Sudlersville at 16.2% compared to 0.0% in Hilmar.
- Obesity rates are higher in Sudlersville at 39.1% compared to 0.0% in Hilmar.
- Disability percentages are higher in Sudlersville at 19.0% compared to 14.0% in Hilmar.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Sudlersville | Hilmar |
---|---|---|
No Schooling | 0.6% (3) | 2.6% (294) |
High School Diploma | 29.7% (153) | 16.8% (1,868) |
Less than High School | 8.9% (46) | 35.7% (3,978) |
Bachelor's Degree and Higher | 9.1% (47) | 6.9% (769) |
Education Levels Comparison: Sudlersville vs Hilmar
- In Hilmar, a larger percentage of residents lack formal schooling at 2.6% compared to 0.6% in Sudlersville.
- A higher percentage of residents in Sudlersville hold a high school diploma at 29.7% compared to 16.8% in Hilmar.
- The percentage of residents with less than a high school education is higher in Hilmar at 35.7%, compared to 8.9% in Sudlersville.
- A higher percentage of residents in Sudlersville hold a bachelor's degree or higher at 9.1% compared to 6.9% in Hilmar.
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.