{"id":5252,"date":"2025-02-07T02:02:44","date_gmt":"2025-02-07T02:02:44","guid":{"rendered":"https:\/\/www.tarleton.edu\/tieuc\/?page_id=5252"},"modified":"2025-07-09T22:28:24","modified_gmt":"2025-07-09T22:28:24","slug":"nct-socioeconomic-indicators","status":"publish","type":"page","link":"https:\/\/www.tarleton.edu\/tieuc\/dashboards\/nct-socioeconomic-indicators\/","title":{"rendered":"NCT Socioeconomic Indicators: Poverty, Income and Benefits (2019-2021)"},"content":{"rendered":"\n

Socioeconomic Indicators: Poverty, Income and Benefits in NCT (2019-2021)<\/strong><\/p>\n\n\n\n

This provides a comprehensive visual analysis of key socioeconomic metrics across 24 counties. The interactive map and filters allow users to explore trends and variations over three years, from 2019 to 2021. Here’s a detailed breakdown of the dashboard’s components:<\/p>\n\n\n\n

\ud83c\udf0d 1. Geographic Visualization
\u2022 The main map highlights 24 counties, with each county color-coded based on the selected metric. The labels show the corresponding values, making it easy to compare counties at a glance.
\u2022 Users can select different metrics and years to see how socioeconomic conditions have changed over time.
\ud83d\udcca 2. Key Metrics Available
The dashboard allows users to explore the following metrics:<\/p>\n\n\n\n

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  1. Estimate People All Ages Poverty:
    o Shows the estimated number of people living below the poverty line in each county.
    o Useful for understanding the extent of poverty and identifying counties with higher needs for assistance.<\/li>\n\n\n\n
  2. Income Inequality:
    o Measures disparities in income distribution using the Gini index.
    o A higher Gini index indicates more inequality within a county.<\/li>\n\n\n\n
  3. Poverty Universe All Ages (Currently Displayed):
    o Represents the total population considered for poverty estimation.
    o This metric helps contextualize poverty estimates relative to the overall population.<\/li>\n\n\n\n
  4. SNAP Benefits Recipients:
    o Displays the number of individuals or households receiving Supplemental Nutrition Assistance Program (SNAP) benefits.
    o This reflects the level of food assistance needed in each region.<\/li>\n\n\n\n
  5. Per Capita Personal Income:
    o Indicates the average income per person in each county.
    o This metric helps assess the economic well-being of the population.<\/li>\n\n\n\n
  6. Income Inequality (Gini Index):
    o A specific measure of income disparity within each county.<\/li>\n<\/ol>\n\n\n\n

    \ud83d\udcc5 3. Yearly Comparison (2019, 2020, 2021)
    \u2022 Users can choose between the years 2019, 2020, and 2021 to observe how each metric has changed over time.
    \u2022 This feature allows for trend analysis, helping to identify socioeconomic improvements or areas that need attention.
    \ud83d\udcc8 4. Insights and Observations (Based on the Current Map)
    \u2022 Dallas County has the highest population under the “Poverty Universe All Ages” metric, followed by Tarrant and Collin counties.
    \u2022 Smaller counties like Jack, Hamilton, and Somervell show significantly lower numbers, reflecting their smaller population size.
    \u2022 Income inequality tends to be more pronounced in urbanized counties like Dallas and Tarrant compared to rural counties.
    \ud83c\udf9b\ufe0f 5. Interactive Features
    \u2022 Metric Selector: Allows users to switch between the six available metrics.
    \u2022 Year Selector: Enables comparisons across 2019, 2020, and 2021.
    \u2022 Map Interaction: Users can hover over counties for detailed information.
    \ud83d\udcdc 6. Purpose and Use Cases
    \u2022 This dashboard is valuable for policymakers, researchers, and community organizations aiming to:
    o Identify areas with high poverty and inequality.
    o Allocate resources efficiently for SNAP benefits and other support programs.
    o Track progress and socioeconomic changes over time.
    o Advocate for targeted interventions based on data-driven insights.
    In conclusion, the dashboard provides a powerful tool for understanding socioeconomic conditions across counties, facilitating informed decision-making and strategic planning.<\/p>\n\n\n\n

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    Values in Population Counts<\/h4>\n\n\n\n