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Introduction

This study explores the demographic changes and characteristics of the Texas Hill Country region over the past 40 years. By analyzing census data and using GIS technology, the study provides maps, graphs, and charts that highlight the population trends, socioeconomic factors, and implications for the region's future. Proper planning is crucial to preserve the unique cultural and physical identity of the area as its regional population is expected to double in the next 20 years.

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Introduction

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  1. Introduction • The Texas Hill Country’s regional population is expected to double in the next 20 years. • Proper planning is required to ensure that this area does not lose its unique cultural and physical identity. • A demographic profile reveals characteristics of people and various changes that occur over time. • HCA and TDCG collaborated to use GIS in order to create a demographic profile of the hill country.

  2. Data • Data was obtained from the U.S. Census Bureau • 1970, 1980, 1990, 2000 census data was acquired from Social Explorerdatabase • HCA provided HCA_Counties and Surrouding_Counties shapefile • All data was projected in NAD_1983_UTM_Zone_14N projection

  3. Methods Data Collection Data Selection Data Formatting Join Data to Geography

  4. MethodsData Collection • Difficult to find digital data before 1990 • None available direct from US Census Bureau • University of Texas in Austin • Social Explorer! • Provided digital data between 1970 and 2000 • Downloaded as comprehensive excel reports

  5. Comprehensive Excel Report from Social Explorer for 2000 Methods

  6. MethodsData Selection • Comprehensive reports contained unnecessary data • Selected data that was common throughout 1970, 1980, 1990, and 2000 • Standardized mapping purposes • Data sets needed to be consistent between each decade • Excluded Bexar and Travis counties • Skewed classifications • High metropolitan population counts greatly outnumber small rural population counts

  7. MethodsExample of data Skew with Equal Intervals:

  8. MethodsExample of data Skew with Natural Breaks:

  9. MethodsData Formatting • ESRI standards • Table structure • Reformatted Social Explorer reports • Transposed data (excel functions) • Concatenated data sets • Add multiple data sets together

  10. Social Explorer report before formatting:

  11. Newly formatted table:

  12. MethodsJoining Tables with Geography • Joined new table to HCA counties geography

  13. MethodsCartography and Map Making • Symbology • Graduated color ramps • Used to display 5 equal intervals • Normalizations • Without normalizations the more populous counties will always be in the highest interval

  14. MethodsPercent of Population Over the age 65:

  15. Results and Discussion • Results • Charts: Provide statistical data • Maps: Normalized statistical data • Data: Shapefiles and excel sheets • Discussion • Analysis of data • Correlations • Trends • Implications

  16. Results Maps Charts

  17. Unemployment Rate 10 of the 15 counties had an unemployment rate lower than the state average (4.5% in 2000) Hays and Uvalde County have Highest Unemployment Rate (2000) Unemployment Rate vs. Hispanic Population

  18. Implications Unemployment Rate Hispanic population

  19. Trends: Urbanization Total Population 1970-1980 Total Population 1990-2000

  20. Correlation Urban vs. Rural Population growth

  21. Conclusion • TDCG assisted the HCA in its mission to better understand the inhabitants of the hill country. • A demographic profile of the region was created illustrating 40 years of census data. • TDCG was able to create maps, graphs, and charts that display numerical values for each county . • By profiling the people of the region, TDCG displayed socioeconomic characteristics that provide insight to various phenomena.

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