Demographics details for Rayland, OH vs Brownfield, TX
Population Overview
Compare main population characteristics in Rayland, OH vs Brownfield, TX.
Data | Rayland | Brownfield |
---|---|---|
Population | 384 | 8,717 |
Median Age | 48.5 years | 35.7 years |
Median Income | $56,875 | $41,228 |
Married Families | 46.0% | 32.0% |
Poverty Level | 16% | 10% |
Unemployment Rate | 4.5 | 4.2 |
Population Comparison: Rayland vs Brownfield
- The population in Brownfield is higher at 8,717, compared to 384 in Rayland.
- Residents in Rayland have a higher median age of 48.5 years compared to 35.7 years in Brownfield.
- Rayland has a higher median income of $56,875 compared to $41,228 in Brownfield.
- A higher percentage of married families is found in Rayland at 46.0% compared to 32.0% in Brownfield.
- Rayland has a higher poverty level at 16% compared to 10% in Brownfield.
- The unemployment rate in Rayland is higher at 4.5%, compared to 4.2% in Brownfield.
Demographics
Demographics Rayland vs Brownfield provide insight into the diversity of the communities to compare.
Demographic | Rayland | Brownfield |
---|---|---|
Black | Data is updating | 6 |
White | 98 | 45 |
Asian | Data is updating | Data is updating |
Hispanic | Data is updating | 65 |
Two or More Races | 2 | 30 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Rayland vs Brownfield
- In Brownfield, the percentage of Black residents is higher at 6% compared to 0% in Rayland.
- Rayland has a higher percentage of White residents at 98% compared to 45% in Brownfield.
- Both Rayland and Brownfield have the same percentage of Asian residents at 0%.
- Brownfield has a higher percentage of Hispanic residents at 65%, compared to 0% in Rayland.
- The percentage of residents identifying as two or more races is higher in Brownfield at 30%, compared to 2% in Rayland.
- The percentage of American Indian residents is the same in both Rayland and Brownfield at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Rayland | Brownfield |
---|---|---|
Mental Health Not Good | 19.8% | 19.0% |
Physical Health Not Good | 13.6% | 15.7% |
Depression | 25.8% | 23.8% |
Smoking | 25.7% | 22.1% |
Binge Drinking | 18.0% | 16.8% |
Obesity | 41.8% | 43.5% |
Disability Percentage | 24.0% | 16.0% |
Health Statistics Comparison: Rayland vs Brownfield
- More residents in Rayland report poor mental health at 19.8% compared to 19.0% in Brownfield.
- Depression is more prevalent in Rayland at 25.8% compared to 23.8% in Brownfield.
- Smoking is more prevalent in Rayland at 25.7% compared to 22.1% in Brownfield.
- Binge drinking is more common in Rayland at 18.0% compared to 16.8% in Brownfield.
- Brownfield has higher obesity rates at 43.5% compared to 41.8% in Rayland.
- Disability percentages are higher in Rayland at 24.0% compared to 16.0% in Brownfield.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Rayland | Brownfield |
---|---|---|
No Schooling | 1.0% (4) | 2.6% (229) |
High School Diploma | 35.4% (136) | 18.9% (1,651) |
Less than High School | 9.9% (38) | 31.1% (2,709) |
Bachelor's Degree and Higher | 7.3% (28) | 5.4% (475) |
Education Levels Comparison: Rayland vs Brownfield
- In Brownfield, a larger percentage of residents lack formal schooling at 2.6% compared to 1.0% in Rayland.
- A higher percentage of residents in Rayland hold a high school diploma at 35.4% compared to 18.9% in Brownfield.
- The percentage of residents with less than a high school education is higher in Brownfield at 31.1%, compared to 9.9% in Rayland.
- A higher percentage of residents in Rayland hold a bachelor's degree or higher at 7.3% compared to 5.4% in Brownfield.
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.