Demographics details for Smith center, KS vs Lockney, TX
Population Overview
Compare main population characteristics in Smith center, KS vs Lockney, TX.
Data | Smith center | Lockney |
---|---|---|
Population | 1,561 | 1,453 |
Median Age | 46.6 years | 44.0 years |
Median Income | $49,444 | $52,500 |
Married Families | 43.0% | 55.0% |
Poverty Level | 10% | 20% |
Unemployment Rate | 3.2 | 5.0 |
Population Comparison: Smith center vs Lockney
- In Smith center, the population is higher at 1,561, compared to 1,453 in Lockney.
- Residents in Smith center have a higher median age of 46.6 years compared to 44.0 years in Lockney.
- Lockney has a higher median income of $52,500, compared to $49,444 in Smith center.
- In Lockney, the percentage of married families is higher at 55.0%, compared to 43.0% in Smith center.
- The poverty level is higher in Lockney at 20%, compared to 10% in Smith center.
- Lockney has a higher unemployment rate at 5.0% compared to 3.2% in Smith center.
Demographics
Demographics Smith center vs Lockney provide insight into the diversity of the communities to compare.
Demographic | Smith center | Lockney |
---|---|---|
Black | 1 | 2 |
White | 94 | 15 |
Asian | Data is updating | Data is updating |
Hispanic | 3 | 71 |
Two or More Races | 2 | 12 |
American Indian | Data is updating | Data is updating |
Demographics Comparison: Smith center vs Lockney
- In Lockney, the percentage of Black residents is higher at 2% compared to 1% in Smith center.
- Smith center has a higher percentage of White residents at 94% compared to 15% in Lockney.
- Both Smith center and Lockney have the same percentage of Asian residents at 0%.
- Lockney has a higher percentage of Hispanic residents at 71%, compared to 3% in Smith center.
- The percentage of residents identifying as two or more races is higher in Lockney at 12%, compared to 2% in Smith center.
- The percentage of American Indian residents is the same in both Smith center and Lockney at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
Health Metric | Smith center | Lockney |
---|---|---|
Mental Health Not Good | 16.7% | 16.8% |
Physical Health Not Good | 10.8% | 12.3% |
Depression | 21.7% | 22.2% |
Smoking | 19.2% | 15.6% |
Binge Drinking | 19.0% | 17.7% |
Obesity | 38.8% | 39.0% |
Disability Percentage | 15.0% | 16.0% |
Health Statistics Comparison: Smith center vs Lockney
- In Lockney, a higher percentage report poor mental health at 16.8% compared to 16.7% in Smith center.
- Higher depression rates are seen in Lockney at 22.2% versus 21.7% in Smith center.
- Smoking is more prevalent in Smith center at 19.2% compared to 15.6% in Lockney.
- Binge drinking is more common in Smith center at 19.0% compared to 17.7% in Lockney.
- Lockney has higher obesity rates at 39.0% compared to 38.8% in Smith center.
- There is a higher percentage of disabled individuals in Lockney at 16.0% compared to 15.0% in Smith center.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
Education Level | Smith center | Lockney |
---|---|---|
No Schooling | 0.2% (3) | 4.7% (69) |
High School Diploma | 29.4% (459) | 30.5% (443) |
Less than High School | 7.6% (118) | 51.9% (754) |
Bachelor's Degree and Higher | 14.8% (231) | 12.7% (185) |
Education Levels Comparison: Smith center vs Lockney
- In Lockney, a larger percentage of residents lack formal schooling at 4.7% compared to 0.2% in Smith center.
- In Lockney, the rate of residents with high school diplomas is higher at 30.5% compared to 29.4% in Smith center.
- The percentage of residents with less than a high school education is higher in Lockney at 51.9%, compared to 7.6% in Smith center.
- A higher percentage of residents in Smith center hold a bachelor's degree or higher at 14.8% compared to 12.7% in Lockney.
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.