Franklin County Gentrification Trends 1990-2014




I saw this post the other day about changing neighborhood demographics in certain cities, particularly when it comes to racial segregation and gentrification. Surprisingly, of all the maps and posts I’ve done on demographics, I hadn’t thought to do one like this. Well, now I have, so here are Franklin County’s gentrification trends 1990-2014.
gentrification trends 1990-2014
A bit of an explanation is needed for the color coding:
-For those categories marked “Steady”, the demographic listed has been the majority throughout the period, with little to no change of other demographics.
-For those mixed categories of one decline and one rise, it means that the majority demographic has declined at least 5%, while a secondary demographic has risen at least 5%.
-For the category of recent or steady integration, there are at least 2 demographics at 10% or more of the total population, as well as a 3rd demographic reaching at least 5% of the population.

A few things that stand out to me is that the Steady White population dominates at least 50% of the map, while there are very few areas with Steady Black population. One would be tempted to suggest that gentrification is forcing the Black population out of neighborhoods, but this doesn’t seem to be true. In terms of significant changes, there are FAR more areas with Black population growth and White population decline than vice-versa, suggesting that “White Flight” may continue to be an issue. Also, a surprising number of areas have reached full integration, or have at least been maintaining it over the period of question. These neighborhoods of demographic equilibrium are largely the result of increasing Hispanic and Asian populations, particularly on the Northeast and West Sides, as well as the Whitehall area. In the center core, almost all of the High Street corridor has remained steady White, suggesting that other demographics have, so far, been unable to tap into the building boom along and adjacent to this corridor.

Here are the most integrated tracts by year, based the above criteria.
1990

1. #8720- South Side
2. #7820- Riverview-NW Side
3. #1122- West Campus
4. #1121- Campus
5. #29- King-Lincoln
Only 5 tracts counted as being integrated in 1990.



Columbus Area Murders by Zip Code 2008-2015



I have been wanting to do these maps for awhile now, as there have been several searches on the site for them and they weren’t available. It took a lot of work, but here are the maps for Columbus area murders by zip code 2008-2015.

2008

In 2008, almost all murders were contained within the I-270 boundaries. The East and South Sides were the worst areas.

2009

In 2009, there began to be a bit of diffusion on where murder was taking place. While parts of the urban core remained the worst areas, suburban areas also saw the occasional murder.

2010

The diffusion continued in 2010.

2011

And in 2011.

2012

2012 was the most diffuse of all the years, with no heavily concentrated areas, even in the urban core as much. Meanwhile, most of the suburban zip codes within Franklin County saw at least 1 murder.

2013

2014

2015

By 2015, most activity was on the eastern side of the city, particular South Linden and the Far East Side around Whitehall and Reynoldsburg, but all areas along the 270 area on the Far East Side had the highest levels of murder in the county. The central core generally stayed a lot lower, creating a much more prominent donut shape than what existed back in 2008.
This seems to indicate that as the central core gains in population and income, crime is also being pushed further out.




Columbus Bike and Pedestrian Infrastructure Map

So first up to repost from the data loss will be one of the easiest. As mentioned the first time, I wanted to create a map that included the 10-county metro area highlighting every bit of existing, planned and under construction infrastructure involving biking and pedestrian activities. There are some existing maps that show this, but they are not regularly updated and they lack significant detail in what type of infrastructure exists.

Here is the link to the map: https://www.google.com/maps/d/edit?mid=zjN5g-xqXg7o.kmfXTQGVWudU&usp=sharing

The map is still very much a work in progress. I have neither finished the existing infrastructure level or the planned infrastructure level. I update it a bit more almost every day, so keep checking back!



Cool Link Before and After Worldwide



Similar to other posts that show how Columbus has been changing, the link below from the site Urb-I has hundreds of before and after worldwide photos of streetscape changes. Columbus itself is not included, but perhaps that can be changed as the site allows anyone to submit images.

http://www.urb-i.com/#!before-after/ceh8

2014 County Population Estimates



2014 county population estimates

New 2014 county population estimates were released Thursday by the Census. Franklin County had its 2nd highest growth year since 1970 and within a few years of passing Cuyahoga County to become the most populated in Ohio.

Top 25 Largest Ohio Counties and Rank for Census 2010, July 1, 2013 and July 1, 2014
2010———————————–2013—————————–2014

1. Cuyahoga: 1,280,122–1. Cuyahoga: 1,265,889–1. Cuyahoga: 1,259,828
2. Franklin: 1,163,414—–2. Franklin: 1,213,834——2. Franklin: 1,231,393
3. Hamilton: 802,374——3. Hamilton: 804,429——-3. Hamilton: 806,631
4. Summit: 541,781——–4. Summit: 541,787———4. Summit: 541,943
5. Montgomery: 535,153–5. Montgomery: 534,764–5. Montgomery: 533,116
6. Lucas: 441,815———-6. Lucas: 436,803———–6. Lucas: 435,286
7. Stark: 375,586———–7. Stark: 375,222————7. Stark: 375,736
8. Butler: 368,130———-8. Butler: 371,511————8. Butler: 374,158
9. Lorain: 301,356———-9. Lorain: 303,306———–9. Lorain: 304,216
10. Mahoning: 238,823—10. Mahoning: 234,336—-10. Mahoning: 233,204
11. Lake: 230,041———-11. Lake: 229,634———–11. Lake: 229,230
12. Warren: 212,693——-12. Warren: 219,578——-12. Warren: 221,659
13. Trumbull: 210,312—–13. Trumbull: 206,480——13. Trumbull: 205,175
14. Clermont: 197,363—–14. Clermont: 200,254—–14. Clermont: 201,560
15. Delaware: 174,214—-15. Delaware: 185,202—–15. Delaware: 189,113
16. Medina: 172,332——-16. Medina: 174,792——–16. Medina: 176,029
17. Licking: 166,492——–17. Licking: 168,503——–17. Licking: 169,390
18. Greene: 161,573——-18. Greene: 163,465——–18. Greene: 163,820
19. Portage: 161,419——-19. Portage: 161,423——-19. Portage: 161,882
20. Fairfield: 146,156——-20. Fairfield: 148,797——-20. Fairfield: 150,381
21. Clark: 138,333———-21. Clark: 136,803———–21. Clark: 136,554
22. Wood: 125,488———22. Wood: 129,209———-22. Wood: 129,590
23. Richland: 124,475—–23. Richland: 122,292——23. Richland: 121,942
24. Wayne: 114,520——-24. Wayne: 115,144———24. Wayne: 115,537
25. Columbiana: 107,841–25. Columbiana: 105,885–25. Columbiana: 105,686

Top 25 Counties with the Largest Numerical Growth, July 1, 2013 to July 1, 2014
1. Franklin: +17,559
2. Delaware: +3,911
3. Butler: +2,647
4. Hamilton: +2,202
5. Warren: +2,081
6. Fairfield: +1,584
7. Clermont: +1,306
8. Lorain: +1,210
9. Licking: +887
10. Madison: +646
11. Stark: +514
12. Miami: +484
13. Portage: +459
14. Pickaway: +410
15. Union: +396
16. Wayne: +393
17. Wood: +381
18. Greene: +355
19. Knox: +244
20. Holmes: +236
21. Geauga: +236
22. Athens: +198
23. Fulton: +162
24. Summit: +156
25. Muskingum: +122

Top 25 Counties with the Largest Numerical Growth, Census 2010 to July 1, 2014
1. Franklin: +67,850
2. Delaware: +14,924
3. Warren: +8,791
4. Butler: +6,028
5. Hamilton: +4,257
6. Fairfield: +4,229
7. Clermont: +4,197
8. Wood: +4,102
9. Medina: +3,696
10. Licking: +2,906
11. Lorain: +2,860
12. Greene: +2,251
13. Holmes: +1,532
14. Union: +1,509
15. Miami: +1,394
16. Pickaway: +1,178
17. Wayne: +1,023
18. Geauga: +885
19. Hancock: +555
20. Madison: +488
21. Portage: +461
22. Morrow: +325
23. Knox: +237
24. Tuscarawas: +206
25. Summit: +157

Top 25 Counties for Total Birth July 1, 2013 to July 1, 2014
1. Franklin: 18,595
2. Cuyahoga: 14,801
3. Hamilton: 11,009
4. Montgomery: 6,708
5. Summit: 6,235
6. Lucas: 5,742
7. Butler: 4,572
8. Stark: 4,106
9. Lorain: 3,340
10. Warren: 2,396
11. Mahoning: 2,369
12. Clermont: 2,357
13. Lake: 2,204
14. Delaware: 2,119
15. Trumbull: 2,070
16. Licking: 1,948
17. Greene: 1,757
18. Medina: 1,732
19. Fairfield: 1,647
20. Clark: 1,567
21. Wayne: 1,501
22. Richland: 1,413
23. Wood: 1,370
24. Portage: 1,369
25. Allen: 1,288

Top 25 Counties for Total Deaths July 1, 2013 to July 1, 2014
1. Cuyahoga: 13,316
2. Franklin: 9,197
3. Hamilton: 7,718
4. Montgomery: 5,632
5. Summit: 5,595
6. Lucas: 4,365
7. Stark: 3,910
8. Butler: 3,186
9. Mahoning: 2,957
10. Trumbull: 2,407
11. Lake: 2,366
12. Warren: 1,636
13. Clark: 1,631
14. Clermont: 1,574
15. Licking: 1,505
16. Medina: 1,352
17. Greene: 1,350
18. Portage: 1,329
19. Richland: 1,313
20. Fairfield: 1,233
21. Columbiana: 1,140
22. Ashtabula: 1,092
23. Allen: 1,063
24. Wayne: 1,055
25. Delaware: 1,019

Top 25 Counties for Total Natural Change (Births vs. Deaths) July 1, 2013 to July 1, 2014
1. Franklin: 9,398
2. Hamilton: 3,291
3. Cuyahoga: 1,481
4. Lucas: 1,377
5. Butler: 1,386
6. Delaware: 1,100
7. Montgomery: 1,076
8. Clermont: 783
9. Warren: 760
10. Summit: 640
11. Lorain: 546
12. Holmes: 506
13. Wayne: 446
14. Licking: 443
15. Fairfield: 414
16. Greene: 407
17. Medina: 380
18. Wood: 359
19. Union: 271
20. Hancock: 249
21. Allen: 225
22. Shelby: 212
23. Geauga: 199
24. Stark: 196
25. Huron: 165