Demographics details for Petersburg, NE vs Moore, OK
Population Overview
Compare main population characteristics in Petersburg, NE vs Moore, OK.
| Data | Petersburg | Moore |
|---|---|---|
| Population | 329 | 63,223 |
| Median Age | 40.1 years | 33.8 years |
| Median Income | $65,500 | $73,285 |
| Married Families | 62.0% | 40.0% |
| Poverty Level | Data is updating | 11% |
| Unemployment Rate | 2.5 | 3.1 |
Population Comparison: Petersburg vs Moore
- The population in Moore is higher at 63,223, compared to 329 in Petersburg.
- Residents in Petersburg have a higher median age of 40.1 years compared to 33.8 years in Moore.
- Moore has a higher median income of $73,285, compared to $65,500 in Petersburg.
- A higher percentage of married families is found in Petersburg at 62.0% compared to 40.0% in Moore.
- The poverty level is higher in Moore at 11%, compared to 0% in Petersburg.
- Moore has a higher unemployment rate at 3.1% compared to 2.5% in Petersburg.
Demographics
Demographics Petersburg vs Moore provide insight into the diversity of the communities to compare.
| Demographic | Petersburg | Moore |
|---|---|---|
| Black | Data is updating | 5 |
| White | 85 | 66 |
| Asian | Data is updating | 3 |
| Hispanic | 9 | 11 |
| Two or More Races | 6 | 11 |
| American Indian | Data is updating | 4 |
Demographics Comparison: Petersburg vs Moore
- In Moore, the percentage of Black residents is higher at 5% compared to 0% in Petersburg.
- Petersburg has a higher percentage of White residents at 85% compared to 66% in Moore.
- In Moore, the Asian population stands at 3%, greater than 0% in Petersburg.
- Moore has a higher percentage of Hispanic residents at 11%, compared to 9% in Petersburg.
- The percentage of residents identifying as two or more races is higher in Moore at 11%, compared to 6% in Petersburg.
- In Moore, the percentage of American Indian residents is higher at 4%, compared to 0% in Petersburg.
Health Statistics
The health statistics provide insights into prevalent health conditions in two communities.
| Health Metric | Petersburg | Moore |
|---|---|---|
| Mental Health Not Good | 14.2% | 16.7% |
| Physical Health Not Good | 9.8% | 11.0% |
| Depression | 17.9% | 25.5% |
| Smoking | 17.8% | 16.7% |
| Binge Drinking | 21.8% | 16.2% |
| Obesity | 43.1% | 34.4% |
| Disability Percentage | 11.0% | 14.0% |
Health Statistics Comparison: Petersburg vs Moore
- In Moore, a higher percentage report poor mental health at 16.7% compared to 14.2% in Petersburg.
- Higher depression rates are seen in Moore at 25.5% versus 17.9% in Petersburg.
- Smoking is more prevalent in Petersburg at 17.8% compared to 16.7% in Moore.
- Binge drinking is more common in Petersburg at 21.8% compared to 16.2% in Moore.
- Obesity rates are higher in Petersburg at 43.1% compared to 34.4% in Moore.
- There is a higher percentage of disabled individuals in Moore at 14.0% compared to 11.0% in Petersburg.
Education Levels
The educational attainment in the area helps gauge the workforce's skill level and economic potential.
| Education Level | Petersburg | Moore |
|---|---|---|
| No Schooling | 0.0% (Data is updating) | 1.1% (694) |
| High School Diploma | 24.0% (79) | 15.4% (9,764) |
| Less than High School | 4.9% (16) | 10.6% (6,721) |
| Bachelor's Degree and Higher | 18.2% (60) | 17.6% (11,158) |
Education Levels Comparison: Petersburg vs Moore
- In Moore, a larger percentage of residents lack formal schooling at 1.1% compared to 0.0% in Petersburg.
- A higher percentage of residents in Petersburg hold a high school diploma at 24.0% compared to 15.4% in Moore.
- The percentage of residents with less than a high school education is higher in Moore at 10.6%, compared to 4.9% in Petersburg.
- A higher percentage of residents in Petersburg hold a bachelor's degree or higher at 18.2% compared to 17.6% in Moore.
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.