Demographics details for Coalinga, CA vs Kaufman, TX
Population Overview
Compare main population characteristics in Coalinga, CA vs Kaufman, TX.
Data | Coalinga | Kaufman |
---|---|---|
Population | 17,024 | 172,366 |
Median Age | 35.0 years | 34.6 years |
Median Income | $68,976 | $84,075 |
Married Families | 31.0% | 36.0% |
Poverty Level | 15% | 10% |
Unemployment Rate | 6.5 | 4.8 |
Population Comparison: Coalinga vs Kaufman
- The population in Kaufman is higher at 172,366, compared to 17,024 in Coalinga.
- Residents in Coalinga have a higher median age of 35.0 years compared to 34.6 years in Kaufman.
- Kaufman has a higher median income of $84,075, compared to $68,976 in Coalinga.
- In Kaufman, the percentage of married families is higher at 36.0%, compared to 31.0% in Coalinga.
- Coalinga has a higher poverty level at 15% compared to 10% in Kaufman.
- The unemployment rate in Coalinga is higher at 6.5%, compared to 4.8% in Kaufman.
Demographics
Demographics Coalinga vs Kaufman provide insight into the diversity of the communities to compare.
Demographic | Coalinga | Kaufman |
---|---|---|
Black | 4 | 13 |
White | 9 | 53 |
Asian | 2 | 1 |
Hispanic | 65 | 22 |
Two or More Races | 18 | 11 |
American Indian | 2 | Data is updating |
Demographics Comparison: Coalinga vs Kaufman
- In Kaufman, the percentage of Black residents is higher at 13% compared to 4% in Coalinga.
- The percentage of White residents is higher in Kaufman at 53% compared to 9% in Coalinga.
- The Asian population is larger in Coalinga at 2% compared to 1% in Kaufman.
- The Hispanic community is larger in Coalinga at 65% compared to 22% in Kaufman.
- More residents identify as two or more races in Coalinga at 18% compared to 11% in Kaufman.
- A greater percentage of American Indian residents live in Coalinga at 2% compared to 0% in Kaufman.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Coalinga | Kaufman |
---|---|---|
Mental Health Not Good | 16.9% | 16.8% |
Physical Health Not Good | 13.9% | 11.4% |
Depression | 16.4% | 22.6% |
Smoking | 17.2% | 16.1% |
Binge Drinking | 15.9% | 18.2% |
Obesity | 39.1% | 36.6% |
Disability Percentage | 13.0% | 9.0% |
Health Statistics Comparison: Coalinga vs Kaufman
- More residents in Coalinga report poor mental health at 16.9% compared to 16.8% in Kaufman.
- Higher depression rates are seen in Kaufman at 22.6% versus 16.4% in Coalinga.
- Smoking is more prevalent in Coalinga at 17.2% compared to 16.1% in Kaufman.
- More residents engage in binge drinking in Kaufman at 18.2% compared to 15.9% in Coalinga.
- Obesity rates are higher in Coalinga at 39.1% compared to 36.6% in Kaufman.
- Disability percentages are higher in Coalinga at 13.0% compared to 9.0% in Kaufman.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Coalinga | Kaufman |
---|---|---|
No Schooling | 3.2% (537) | 1.4% (2,482) |
High School Diploma | 13.8% (2,349) | 12.9% (22,235) |
Less than High School | 39.2% (6,672) | 14.2% (24,496) |
Bachelor's Degree and Higher | 8.1% (1,380) | 13.1% (22,541) |
Education Levels Comparison: Coalinga vs Kaufman
- A higher percentage of residents in Coalinga have no formal schooling at 3.2% compared to 1.4% in Kaufman.
- A higher percentage of residents in Coalinga hold a high school diploma at 13.8% compared to 12.9% in Kaufman.
- More residents in Coalinga have less than a high school education at 39.2% compared to 14.2% in Kaufman.
- In Kaufman, a larger share of residents have a bachelor's degree or higher at 13.1% compared to 8.1% in Coalinga.
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.