Demographics details for Lima, OH vs Kaufman, TX
Population Overview
Compare main population characteristics in Lima, OH vs Kaufman, TX.
| Data | Lima | Kaufman |
|---|---|---|
| Population | 34,977 | 172,366 |
| Median Age | 34.7 years | 34.6 years |
| Median Income | $41,824 | $84,075 |
| Married Families | 23.0% | 36.0% |
| Poverty Level | 20% | 10% |
| Unemployment Rate | 6.9 | 4.8 |
Population Comparison: Lima vs Kaufman
- The population in Kaufman is higher at 172,366, compared to 34,977 in Lima.
- Residents in Lima have a higher median age of 34.7 years compared to 34.6 years in Kaufman.
- Kaufman has a higher median income of $84,075, compared to $41,824 in Lima.
- In Kaufman, the percentage of married families is higher at 36.0%, compared to 23.0% in Lima.
- Lima has a higher poverty level at 20% compared to 10% in Kaufman.
- The unemployment rate in Lima is higher at 6.9%, compared to 4.8% in Kaufman.
Demographics
Demographics Lima vs Kaufman provide insight into the diversity of the communities to compare.
| Demographic | Lima | Kaufman |
|---|---|---|
| Black | 24 | 13 |
| White | 62 | 53 |
| Asian | Data is updating | 1 |
| Hispanic | 5 | 22 |
| Two or More Races | 9 | 11 |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Lima vs Kaufman
- A higher percentage of Black residents are in Lima at 24% compared to 13% in Kaufman.
- Lima has a higher percentage of White residents at 62% compared to 53% in Kaufman.
- In Kaufman, the Asian population stands at 1%, greater than 0% in Lima.
- Kaufman has a higher percentage of Hispanic residents at 22%, compared to 5% in Lima.
- The percentage of residents identifying as two or more races is higher in Kaufman at 11%, compared to 9% in Lima.
- The percentage of American Indian residents is the same in both Lima and Kaufman at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Lima | Kaufman |
|---|---|---|
| Mental Health Not Good | 19.6% | 16.8% |
| Physical Health Not Good | 15.0% | 11.4% |
| Depression | 25.0% | 22.6% |
| Smoking | 27.2% | 16.1% |
| Binge Drinking | 17.3% | 18.2% |
| Obesity | 47.4% | 36.6% |
| Disability Percentage | 19.0% | 9.0% |
Health Statistics Comparison: Lima vs Kaufman
- More residents in Lima report poor mental health at 19.6% compared to 16.8% in Kaufman.
- Depression is more prevalent in Lima at 25.0% compared to 22.6% in Kaufman.
- Smoking is more prevalent in Lima at 27.2% compared to 16.1% in Kaufman.
- More residents engage in binge drinking in Kaufman at 18.2% compared to 17.3% in Lima.
- Obesity rates are higher in Lima at 47.4% compared to 36.6% in Kaufman.
- Disability percentages are higher in Lima at 19.0% 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 | Lima | Kaufman |
|---|---|---|
| No Schooling | 0.7% (247) | 1.4% (2,482) |
| High School Diploma | 22.7% (7,927) | 12.9% (22,235) |
| Less than High School | 12.9% (4,523) | 14.2% (24,496) |
| Bachelor's Degree and Higher | 7.0% (2,437) | 13.1% (22,541) |
Education Levels Comparison: Lima vs Kaufman
- In Kaufman, a larger percentage of residents lack formal schooling at 1.4% compared to 0.7% in Lima.
- A higher percentage of residents in Lima hold a high school diploma at 22.7% 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 12.9% in Lima.
- In Kaufman, a larger share of residents have a bachelor's degree or higher at 13.1% compared to 7.0% in Lima.
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.