Demographics details for Pampa, TX

Population Overview

The housing market plays a significant role in determining the cost of living in Pampa, TX.

In Pampa, TX, with a population of 16612, the median age of residents is 35.5, indicating a relatively youthful demographic. The median income stands at 52966, slightly above the national average, but with a poverty level of 14, a notable proportion of the population may face economic challenges. Additionally, a 42% rate of married families suggests a community-oriented environment. With an unemployment rate of 3.4, job opportunities appear stable. Considering these factors is essential in evaluating living conditions and overall quality of life in Pampa.

Demographics

The demographics of Pampa, TX provide insight into the diversity of the community.

Health Statistics

The cost of living index is a widely used metric to determine the relative affordability of cities and towns.

In the community analyzed, mental health challenges are evident with 19.5% of individuals reporting poor mental health. Physical health concerns follow closely, as highlighted by 14.0% acknowledging inadequate physical wellness. Alarmingly, the depression rate stands at 25.4%, reflecting a significant mental health burden. Lifestyle factors such as smoking at 21.1% and binge drinking at 17.9% suggest potential contributors to these issues. The obesity rate is concerningly high at 39.7%, which may increase the prevalence of chronic diseases. Additionally, 12.0% of the community reports living with a disability, underscoring the necessity for targeted health interventions.

Education Levels

The median income is an important factor to consider when evaluating the affordability of a city or town.

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.

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