Louisville Income: Demographics and the Flood of 1937

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This presentation looks at the determinants of median individual income by census tract in Louisville using data from the 2014 5-year ACS 2014. In addition to demographic, occupational, and local labor market characteristics, whether a flood was inundated in the Great Flood of 1937 was found to have a significant and important effect.

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Louisville Income: Demographics and the Flood of 1937

  1. 1. The Determinants of Income in Louisville, Kentucky Harrison Kirby Centre College ‘17
  2. 2. Census Tracts
  3. 3. Income
  4. 4. The usual suspects
  5. 5. The usual suspects Demographics
  6. 6. The usual suspects Demographics Local labor market
  7. 7. The usual suspects Demographics Local labor market Occupation
  8. 8. Flood Age Married Grad School Buisiness Production Bachelors Construction Service Age x Age No English Fertility Rate Unemployent Disability Results Significance p > .1 p < .1 p < .05 p < .01
  9. 9. -2% 0% 2% 4% 6% Age Married Grad School Bachelors Age x Age No English Fertility Rate Disability Demographic Variables Significance p > .1 p < .1 p < .05 p < .01
  10. 10. -2% 0% 2% 4% 6% Age Married Grad School Bachelors Age x Age No English Fertility Rate Disability Demographic Variables Significance p > .1 p < .1 p < .05 p < .01
  11. 11. -2% 0% 2% 4% 6% Age Married Grad School Bachelors Age x Age No English Fertility Rate Disability Demographic Variables Significance p > .1 p < .1 p < .05 p < .01
  12. 12. -2% 0% 2% 4% 6% Age Married Grad School Bachelors Age x Age No English Fertility Rate Disability Demographic Variables Significance p > .1 p < .1 p < .05 p < .01
  13. 13. -2% 0% 2% 4% 6% Age Married Grad School Bachelors Age x Age No English Fertility Rate Disability Demographic Variables Significance p > .1 p < .1 p < .05 p < .01
  14. 14. -2% 0% 2% 4% 6% Age Married Grad School Bachelors Age x Age No English Fertility Rate Disability Demographic Variables Significance p > .1 p < .1 p < .05 p < .01
  15. 15. -2% 0% 2% 4% 6% Age Married Grad School Bachelors Age x Age No English Fertility Rate Disability Demographic Variables Significance p > .1 p < .1 p < .05 p < .01
  16. 16. 0% 1% Buisi ness Prod uct… Cons tru… Servi ce Occupation Variables Significance p > .1 p < .1 p < .05 p < .01
  17. 17. 0% 1% Buisi ness Prod uct… Cons tru… Servi ce Occupation Variables Significance p > .1 p < .1 p < .05 p < .01
  18. 18. 0% 1% Buisi ness Prod uct… Cons tru… Servi ce Occupation Variables Significance p > .1 p < .1 p < .05 p < .01
  19. 19. 0% 1% Buisi ness Prod uct… Cons tru… Servi ce Occupation Variables Significance p > .1 p < .1 p < .05 p < .01
  20. 20. 0% 1% Buisi ness Prod uct… Cons tru… Servi ce Occupation Variables Significance p > .1 p < .1 p < .05 p < .01
  21. 21. the usual story
  22. 22. The West End
  23. 23. “The history of the 9th Street Divide starts with urban renewal. Around that time period, cities around the country decided they were going to remove African Americans from the urban core and put them in their own neat little neighborhoods. Louisville was very progressive on that front—we built the 9th Street Divide as an exit off the expressway. As you can tell from driving around the city, it pretty much removed all the African American communities from downtown Louisville.”
  24. 24. A different narrative
  25. 25. Elevation
  26. 26. 1937 Flood
  27. 27. Flood Age Married Grad School Buisiness Production Bachelors Construction Service Age x Age No English Fertility Rate Unemployent Disability Results Significance p > .1 p < .1 p < .05 p < .01
  28. 28. Flood Age Married Grad School Buisiness Production Bachelors Construction Service Age x Age No English Fertility Rate Unemployent Disability Results Significance p > .1 p < .1 p < .05 p < .01 R2 = .924 N = 191
  29. 29. 9%Flood Age Married Grad School Buisiness Production Bachelors Construction Service Age x Age No English Fertility Rate Unemployent Disability Results Significance p > .1 p < .1 p < .05 p < .01 R2 = .924 N = 191
  30. 30. Conclusions
  31. 31. Conclusions Race and gender not included in final model
  32. 32. Conclusions Race and gender not included in final model Impacts of the1937 Flood
  33. 33. Conclusions Race and gender not included in final model Impacts of the1937 Flood Consequences for development

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