Demographics details for Lumber bridge, NC vs Kaufman, TX
Population Overview
Compare main population characteristics in Lumber bridge, NC vs Kaufman, TX.
Data | Lumber bridge | Kaufman |
---|---|---|
Population | 82 | 172,366 |
Median Age | 43.8 years | 34.6 years |
Median Income | $61,250 | $84,075 |
Married Families | 38.0% | 36.0% |
Poverty Level | 12% | 10% |
Unemployment Rate | 4.6 | 4.8 |
Population Comparison: Lumber bridge vs Kaufman
- The population in Kaufman is higher at 172,366, compared to 82 in Lumber bridge.
- Residents in Lumber bridge have a higher median age of 43.8 years compared to 34.6 years in Kaufman.
- Kaufman has a higher median income of $84,075, compared to $61,250 in Lumber bridge.
- A higher percentage of married families is found in Lumber bridge at 38.0% compared to 36.0% in Kaufman.
- Lumber bridge has a higher poverty level at 12% compared to 10% in Kaufman.
- Kaufman has a higher unemployment rate at 4.8% compared to 4.6% in Lumber bridge.
Demographics
Demographics Lumber bridge vs Kaufman provide insight into the diversity of the communities to compare.
Demographic | Lumber bridge | Kaufman |
---|---|---|
Black | 7 | 13 |
White | 88 | 53 |
Asian | Data is updating | 1 |
Hispanic | Data is updating | 22 |
Two or More Races | Data is updating | 11 |
American Indian | 5 | Data is updating |
Demographics Comparison: Lumber bridge vs Kaufman
- In Kaufman, the percentage of Black residents is higher at 13% compared to 7% in Lumber bridge.
- Lumber bridge has a higher percentage of White residents at 88% compared to 53% in Kaufman.
- In Kaufman, the Asian population stands at 1%, greater than 0% in Lumber bridge.
- Kaufman has a higher percentage of Hispanic residents at 22%, compared to 0% in Lumber bridge.
- The percentage of residents identifying as two or more races is higher in Kaufman at 11%, compared to 0% in Lumber bridge.
- A greater percentage of American Indian residents live in Lumber bridge at 5% compared to 0% in Kaufman.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Lumber bridge | Kaufman |
---|---|---|
Mental Health Not Good | 17.8% | 16.8% |
Physical Health Not Good | 14.2% | 11.4% |
Depression | 23.8% | 22.6% |
Smoking | 23.0% | 16.1% |
Binge Drinking | 16.2% | 18.2% |
Obesity | 40.5% | 36.6% |
Disability Percentage | 9.0% | 9.0% |
Health Statistics Comparison: Lumber bridge vs Kaufman
- More residents in Lumber bridge report poor mental health at 17.8% compared to 16.8% in Kaufman.
- Depression is more prevalent in Lumber bridge at 23.8% compared to 22.6% in Kaufman.
- Smoking is more prevalent in Lumber bridge at 23.0% compared to 16.1% in Kaufman.
- More residents engage in binge drinking in Kaufman at 18.2% compared to 16.2% in Lumber bridge.
- Obesity rates are higher in Lumber bridge at 40.5% compared to 36.6% in Kaufman.
- Disability percentages are the same in both Lumber bridge and Kaufman at 9.0%.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Lumber bridge | Kaufman |
---|---|---|
No Schooling | 0.0% (Data is updating) | 1.4% (2,482) |
High School Diploma | 32.9% (27) | 12.9% (22,235) |
Less than High School | 9.8% (8) | 14.2% (24,496) |
Bachelor's Degree and Higher | 7.3% (6) | 13.1% (22,541) |
Education Levels Comparison: Lumber bridge vs Kaufman
- In Kaufman, a larger percentage of residents lack formal schooling at 1.4% compared to 0.0% in Lumber bridge.
- A higher percentage of residents in Lumber bridge hold a high school diploma at 32.9% compared to 12.9% in Kaufman.
- The percentage of residents with less than a high school education is higher in Kaufman at 14.2%, compared to 9.8% in Lumber bridge.
- In Kaufman, a larger share of residents have a bachelor's degree or higher at 13.1% compared to 7.3% in Lumber bridge.
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.