Demographics details for Princeton, LA vs Mc henry, MD
Population Overview
Compare main population characteristics in Princeton, LA vs Mc henry, MD.
Data | Princeton | Mc henry |
---|---|---|
Population | 1,554 | 270 |
Median Age | 36.0 years | 37.0 years |
Median Income | $48,500 | $65,000 |
Married Families | 52.0% | 60.0% |
Poverty Level | 15% | 10% |
Unemployment Rate | 6.0 | 4.5 |
Population Comparison: Princeton vs Mc henry
- In Princeton, the population is higher at 1,554, compared to 270 in Mc henry.
- The median age in Mc henry is higher at 37.0 years, compared to 36.0 years in Princeton.
- Mc henry has a higher median income of $65,000, compared to $48,500 in Princeton.
- In Mc henry, the percentage of married families is higher at 60.0%, compared to 52.0% in Princeton.
- Princeton has a higher poverty level at 15% compared to 10% in Mc henry.
- The unemployment rate in Princeton is higher at 6.0%, compared to 4.5% in Mc henry.
Demographics
Demographics Princeton vs Mc henry provide insight into the diversity of the communities to compare.
Demographic | Princeton | Mc henry |
---|---|---|
Black | 50 | Data is updating |
White | 48 | 95 |
Asian | Data is updating | Data is updating |
Hispanic | 2 | 1 |
Two or More Races | Data is updating | 2 |
American Indian | Data is updating | 2 |
Demographics Comparison: Princeton vs Mc henry
- A higher percentage of Black residents are in Princeton at 50% compared to 0% in Mc henry.
- The percentage of White residents is higher in Mc henry at 95% compared to 48% in Princeton.
- Both Princeton and Mc henry have the same percentage of Asian residents at 0%.
- The Hispanic community is larger in Princeton at 2% compared to 1% in Mc henry.
- The percentage of residents identifying as two or more races is higher in Mc henry at 2%, compared to 0% in Princeton.
- In Mc henry, the percentage of American Indian residents is higher at 2%, compared to 0% in Princeton.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Princeton | Mc henry |
---|---|---|
Mental Health Not Good | Data is updating% | Data is updating% |
Physical Health Not Good | Data is updating% | Data is updating% |
Depression | Data is updating% | Data is updating% |
Smoking | Data is updating% | Data is updating% |
Binge Drinking | Data is updating% | Data is updating% |
Obesity | Data is updating% | Data is updating% |
Disability Percentage | Data is updating% | Data is updating% |
Health Statistics Comparison: Princeton vs Mc henry
- Poor mental health levels are equal in both Princeton and Mc henry at 0.0%.
- Both cities have comparable depression rates at 0.0%.
- Smoking rates are the same in both Princeton and Mc henry at 0.0%.
- Binge drinking rates are similar in both Princeton and Mc henry at 0.0%.
- Both cities have the same obesity rates at 0.0%.
- Disability percentages are the same in both Princeton and Mc henry at 0.0%.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Princeton | Mc henry |
---|---|---|
No Schooling | 0.0% (Data is updating) | 0.0% (Data is updating) |
High School Diploma | 0.0% (Data is updating) | 0.0% (Data is updating) |
Less than High School | 0.0% (Data is updating) | 0.0% (Data is updating) |
Bachelor's Degree and Higher | 0.0% (Data is updating) | 0.0% (Data is updating) |
Education Levels Comparison: Princeton vs Mc henry
- The percentage of residents with no formal schooling is the same in both Princeton and Mc henry at 0.0%.
- Both cities have the same percentage of residents with high school diplomas at 0.0%.
- Both cities report the same percentage of residents with less than a high school education at 0.0%.
- The percentage of residents with a bachelor's degree or higher is identical in both Princeton and Mc henry at 0.0%.
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.