Demographics details for Pittsfield, NH vs Rayne, LA
Population Overview
Compare main population characteristics in Pittsfield, NH vs Rayne, LA.
Data | Pittsfield | Rayne |
---|---|---|
Population | 4,140 | 7,040 |
Median Age | 42.0 years | 35.4 years |
Median Income | $64,600 | $34,725 |
Married Families | 33.0% | 32.0% |
Poverty Level | 8% | 24% |
Unemployment Rate | 2.6 | 4.5 |
Population Comparison: Pittsfield vs Rayne
- The population in Rayne is higher at 7,040, compared to 4,140 in Pittsfield.
- Residents in Pittsfield have a higher median age of 42.0 years compared to 35.4 years in Rayne.
- Pittsfield has a higher median income of $64,600 compared to $34,725 in Rayne.
- A higher percentage of married families is found in Pittsfield at 33.0% compared to 32.0% in Rayne.
- The poverty level is higher in Rayne at 24%, compared to 8% in Pittsfield.
- Rayne has a higher unemployment rate at 4.5% compared to 2.6% in Pittsfield.
Demographics
Demographics Pittsfield vs Rayne provide insight into the diversity of the communities to compare.
Demographic | Pittsfield | Rayne |
---|---|---|
Black | Data is updating | 46 |
White | 100 | 47 |
Asian | Data is updating | Data is updating |
Hispanic | Data is updating | 2 |
Two or More Races | Data is updating | 5 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Pittsfield vs Rayne
- In Rayne, the percentage of Black residents is higher at 46% compared to 0% in Pittsfield.
- Pittsfield has a higher percentage of White residents at 100% compared to 47% in Rayne.
- Both Pittsfield and Rayne have the same percentage of Asian residents at 0%.
- Rayne has a higher percentage of Hispanic residents at 2%, compared to 0% in Pittsfield.
- The percentage of residents identifying as two or more races is higher in Rayne at 5%, compared to 0% in Pittsfield.
- The percentage of American Indian residents is the same in both Pittsfield and Rayne at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Pittsfield | Rayne |
---|---|---|
Mental Health Not Good | Data is updating% | 21.9% |
Physical Health Not Good | Data is updating% | 15.6% |
Depression | Data is updating% | 29.6% |
Smoking | Data is updating% | 26.8% |
Binge Drinking | Data is updating% | 17.4% |
Obesity | Data is updating% | 41.8% |
Disability Percentage | Data is updating% | 25.0% |
Health Statistics Comparison: Pittsfield vs Rayne
- In Rayne, a higher percentage report poor mental health at 21.9% compared to 0.0% in Pittsfield.
- Higher depression rates are seen in Rayne at 29.6% versus 0.0% in Pittsfield.
- Rayne has a higher smoking rate at 26.8% compared to 0.0% in Pittsfield.
- More residents engage in binge drinking in Rayne at 17.4% compared to 0.0% in Pittsfield.
- Rayne has higher obesity rates at 41.8% compared to 0.0% in Pittsfield.
- There is a higher percentage of disabled individuals in Rayne at 25.0% compared to 0.0% in Pittsfield.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Pittsfield | Rayne |
---|---|---|
No Schooling | 0.0% (Data is updating) | 1.6% (116) |
High School Diploma | 0.0% (Data is updating) | 26.0% (1,832) |
Less than High School | 0.0% (Data is updating) | 25.8% (1,813) |
Bachelor's Degree and Higher | 0.0% (Data is updating) | 5.8% (406) |
Education Levels Comparison: Pittsfield vs Rayne
- In Rayne, a larger percentage of residents lack formal schooling at 1.6% compared to 0.0% in Pittsfield.
- In Rayne, the rate of residents with high school diplomas is higher at 26.0% compared to 0.0% in Pittsfield.
- The percentage of residents with less than a high school education is higher in Rayne at 25.8%, compared to 0.0% in Pittsfield.
- In Rayne, a larger share of residents have a bachelor's degree or higher at 5.8% compared to 0.0% in Pittsfield.
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.