Demographics details for Langston, AL vs Mount union, PA
Population Overview
Compare main population characteristics in Langston, AL vs Mount union, PA.
Data | Langston | Mount union |
---|---|---|
Population | 267 | 2,267 |
Median Age | 56.9 years | 34.8 years |
Median Income | $53,333 | $38,382 |
Married Families | 61.0% | 25.0% |
Poverty Level | 8% | 12% |
Unemployment Rate | 4.0 | 4.2 |
Population Comparison: Langston vs Mount union
- The population in Mount union is higher at 2,267, compared to 267 in Langston.
- Residents in Langston have a higher median age of 56.9 years compared to 34.8 years in Mount union.
- Langston has a higher median income of $53,333 compared to $38,382 in Mount union.
- A higher percentage of married families is found in Langston at 61.0% compared to 25.0% in Mount union.
- The poverty level is higher in Mount union at 12%, compared to 8% in Langston.
- Mount union has a higher unemployment rate at 4.2% compared to 4.0% in Langston.
Demographics
Demographics Langston vs Mount union provide insight into the diversity of the communities to compare.
Demographic | Langston | Mount union |
---|---|---|
Black | 1 | 8 |
White | 96 | 87 |
Asian | Data is updating | Data is updating |
Hispanic | 3 | 1 |
Two or More Races | Data is updating | 4 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Langston vs Mount union
- In Mount union, the percentage of Black residents is higher at 8% compared to 1% in Langston.
- Langston has a higher percentage of White residents at 96% compared to 87% in Mount union.
- Both Langston and Mount union have the same percentage of Asian residents at 0%.
- The Hispanic community is larger in Langston at 3% compared to 1% in Mount union.
- The percentage of residents identifying as two or more races is higher in Mount union at 4%, compared to 0% in Langston.
- The percentage of American Indian residents is the same in both Langston and Mount union at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Langston | Mount union |
---|---|---|
Mental Health Not Good | 21.0% | 20.7% |
Physical Health Not Good | 14.7% | 15.3% |
Depression | 26.1% | 25.6% |
Smoking | 23.1% | 26.4% |
Binge Drinking | 15.3% | 16.4% |
Obesity | 38.3% | 43.0% |
Disability Percentage | 15.0% | 20.0% |
Health Statistics Comparison: Langston vs Mount union
- More residents in Langston report poor mental health at 21.0% compared to 20.7% in Mount union.
- Depression is more prevalent in Langston at 26.1% compared to 25.6% in Mount union.
- Mount union has a higher smoking rate at 26.4% compared to 23.1% in Langston.
- More residents engage in binge drinking in Mount union at 16.4% compared to 15.3% in Langston.
- Mount union has higher obesity rates at 43.0% compared to 38.3% in Langston.
- There is a higher percentage of disabled individuals in Mount union at 20.0% compared to 15.0% in Langston.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Langston | Mount union |
---|---|---|
No Schooling | 1.9% (5) | 1.9% (43) |
High School Diploma | 22.1% (59) | 28.5% (646) |
Less than High School | 18.7% (50) | 16.3% (370) |
Bachelor's Degree and Higher | 17.6% (47) | 6.3% (142) |
Education Levels Comparison: Langston vs Mount union
- The percentage of residents with no formal schooling is the same in both Langston and Mount union at 1.9%.
- In Mount union, the rate of residents with high school diplomas is higher at 28.5% compared to 22.1% in Langston.
- More residents in Langston have less than a high school education at 18.7% compared to 16.3% in Mount union.
- A higher percentage of residents in Langston hold a bachelor's degree or higher at 17.6% compared to 6.3% in Mount union.
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.