Demographics details for Brownfield, TX vs Coalinga, CA
Population Overview
Compare main population characteristics in Brownfield, TX vs Coalinga, CA.
Data | Brownfield | Coalinga |
---|---|---|
Population | 8,717 | 17,024 |
Median Age | 35.7 years | 35.0 years |
Median Income | $41,228 | $68,976 |
Married Families | 32.0% | 31.0% |
Poverty Level | 10% | 15% |
Unemployment Rate | 4.2 | 6.5 |
Population Comparison: Brownfield vs Coalinga
- The population in Coalinga is higher at 17,024, compared to 8,717 in Brownfield.
- Residents in Brownfield have a higher median age of 35.7 years compared to 35.0 years in Coalinga.
- Coalinga has a higher median income of $68,976, compared to $41,228 in Brownfield.
- A higher percentage of married families is found in Brownfield at 32.0% compared to 31.0% in Coalinga.
- The poverty level is higher in Coalinga at 15%, compared to 10% in Brownfield.
- Coalinga has a higher unemployment rate at 6.5% compared to 4.2% in Brownfield.
Demographics
Demographics Brownfield vs Coalinga provide insight into the diversity of the communities to compare.
Demographic | Brownfield | Coalinga |
---|---|---|
Black | 6 | 4 |
White | 45 | 9 |
Asian | Data is updating | 2 |
Hispanic | 65 | 65 |
Two or More Races | 30 | 18 |
American Indian | Data is updating | 2 |
Demographics Comparison: Brownfield vs Coalinga
- A higher percentage of Black residents are in Brownfield at 6% compared to 4% in Coalinga.
- Brownfield has a higher percentage of White residents at 45% compared to 9% in Coalinga.
- In Coalinga, the Asian population stands at 2%, greater than 0% in Brownfield.
- The percentage of Hispanic residents is the same in both Brownfield and Coalinga at 65%.
- More residents identify as two or more races in Brownfield at 30% compared to 18% in Coalinga.
- In Coalinga, the percentage of American Indian residents is higher at 2%, compared to 0% in Brownfield.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Brownfield | Coalinga |
---|---|---|
Mental Health Not Good | 19.0% | 16.9% |
Physical Health Not Good | 15.7% | 13.9% |
Depression | 23.8% | 16.4% |
Smoking | 22.1% | 17.2% |
Binge Drinking | 16.8% | 15.9% |
Obesity | 43.5% | 39.1% |
Disability Percentage | 16.0% | 13.0% |
Health Statistics Comparison: Brownfield vs Coalinga
- More residents in Brownfield report poor mental health at 19.0% compared to 16.9% in Coalinga.
- Depression is more prevalent in Brownfield at 23.8% compared to 16.4% in Coalinga.
- Smoking is more prevalent in Brownfield at 22.1% compared to 17.2% in Coalinga.
- Binge drinking is more common in Brownfield at 16.8% compared to 15.9% in Coalinga.
- Obesity rates are higher in Brownfield at 43.5% compared to 39.1% in Coalinga.
- Disability percentages are higher in Brownfield at 16.0% compared to 13.0% in Coalinga.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Brownfield | Coalinga |
---|---|---|
No Schooling | 2.6% (229) | 3.2% (537) |
High School Diploma | 18.9% (1,651) | 13.8% (2,349) |
Less than High School | 31.1% (2,709) | 39.2% (6,672) |
Bachelor's Degree and Higher | 5.4% (475) | 8.1% (1,380) |
Education Levels Comparison: Brownfield vs Coalinga
- In Coalinga, a larger percentage of residents lack formal schooling at 3.2% compared to 2.6% in Brownfield.
- A higher percentage of residents in Brownfield hold a high school diploma at 18.9% compared to 13.8% in Coalinga.
- The percentage of residents with less than a high school education is higher in Coalinga at 39.2%, compared to 31.1% in Brownfield.
- In Coalinga, a larger share of residents have a bachelor's degree or higher at 8.1% 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.