Demographics details for Lockney, TX vs Mount olive, MS
Population Overview
Compare main population characteristics in Lockney, TX vs Mount olive, MS.
| Data | Lockney | Mount olive |
|---|---|---|
| Population | 1,453 | 878 |
| Median Age | 44.0 years | 31.7 years |
| Median Income | $52,500 | $53,947 |
| Married Families | 55.0% | 49.0% |
| Poverty Level | 20% | 18% |
| Unemployment Rate | 5.0 | 6.5 |
Population Comparison: Lockney vs Mount olive
- In Lockney, the population is higher at 1,453, compared to 878 in Mount olive.
- Residents in Lockney have a higher median age of 44.0 years compared to 31.7 years in Mount olive.
- Mount olive has a higher median income of $53,947, compared to $52,500 in Lockney.
- A higher percentage of married families is found in Lockney at 55.0% compared to 49.0% in Mount olive.
- Lockney has a higher poverty level at 20% compared to 18% in Mount olive.
- Mount olive has a higher unemployment rate at 6.5% compared to 5.0% in Lockney.
Demographics
Demographics Lockney vs Mount olive provide insight into the diversity of the communities to compare.
| Demographic | Lockney | Mount olive |
|---|---|---|
| Black | 2 | 120 |
| White | 15 | 145 |
| Asian | Data is updating | 2 |
| Hispanic | 71 | Data is updating |
| Two or More Races | 12 | Data is updating |
| American Indian | Data is updating | Data is updating |
Demographics Comparison: Lockney vs Mount olive
- In Mount olive, the percentage of Black residents is higher at 120% compared to 2% in Lockney.
- The percentage of White residents is higher in Mount olive at 145% compared to 15% in Lockney.
- In Mount olive, the Asian population stands at 2%, greater than 0% in Lockney.
- The Hispanic community is larger in Lockney at 71% compared to 0% in Mount olive.
- More residents identify as two or more races in Lockney at 12% compared to 0% in Mount olive.
- The percentage of American Indian residents is the same in both Lockney and Mount olive at 0%.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Lockney | Mount olive |
|---|---|---|
| Mental Health Not Good | 16.8% | 17.8% |
| Physical Health Not Good | 12.3% | 13.3% |
| Depression | 22.2% | 21.5% |
| Smoking | 15.6% | 21.3% |
| Binge Drinking | 17.7% | 13.0% |
| Obesity | 39.0% | 43.6% |
| Disability Percentage | 16.0% | 27.0% |
Health Statistics Comparison: Lockney vs Mount olive
- In Mount olive, a higher percentage report poor mental health at 17.8% compared to 16.8% in Lockney.
- Depression is more prevalent in Lockney at 22.2% compared to 21.5% in Mount olive.
- Mount olive has a higher smoking rate at 21.3% compared to 15.6% in Lockney.
- Binge drinking is more common in Lockney at 17.7% compared to 13.0% in Mount olive.
- Mount olive has higher obesity rates at 43.6% compared to 39.0% in Lockney.
- There is a higher percentage of disabled individuals in Mount olive at 27.0% compared to 16.0% in Lockney.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Lockney | Mount olive |
|---|---|---|
| No Schooling | 4.7% (69) | 2.3% (20) |
| High School Diploma | 30.5% (443) | 23.9% (210) |
| Less than High School | 51.9% (754) | 14.9% (131) |
| Bachelor's Degree and Higher | 12.7% (185) | 13.0% (114) |
Education Levels Comparison: Lockney vs Mount olive
- A higher percentage of residents in Lockney have no formal schooling at 4.7% compared to 2.3% in Mount olive.
- A higher percentage of residents in Lockney hold a high school diploma at 30.5% compared to 23.9% in Mount olive.
- More residents in Lockney have less than a high school education at 51.9% compared to 14.9% in Mount olive.
- In Mount olive, a larger share of residents have a bachelor's degree or higher at 13.0% 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.