Franklin County Gentrification Trends 1990-2015




I saw this postthe 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 that showed Franklin County gentrification trends. Well, now I have.

Franklin County gentrification trends
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 percentage points, while a secondary demographic has risen at least 5 percentage points.
-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: The eastern half of the county is in much greater flux than the western half, and integration is respectable county-wide. 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. One other thing I notice is that there are FAR more tracts with a growing black population than there are with a growing White population, suggesting that perhaps the idea of Whites moving into neighborhoods and displacing residents is not quite as big of an issue as some might believe.

Here are the integrated tracts by year, based the above criteria, and their racial breakdown.

Top 10 Tracts with the Highest White Population
1990

1. 7205: 99.6%
2. 98: 99.1%
3. 7207: 98.9%
4. 120, 9240: 98.8%
5. 7201, 7203, 80: 98.7%
6. 7922, 9440, 9752: 98.6%
7. 9751, 10601: 98.5%
8. 110, 8141, 8821, 9711, 9740: 98.4%
9. 9450, 9800: 98.3%
10. 6230, 7210: 98.2%
2015
1. 65: 98.7%
2. 6810: 97.4%
3. 6822, 9712: 97.0%
4. 98: 96.0%
5. 6721, 6950: 95.9%
6. 220: 95.8%
7. 9497: 95.6%
8. 66: 95.5%
9. 6330: 94.8%
10. 7394: 94.7%

Breakdown of # of Tracts by % of White Population
1990

95% or Higher: 80
90%-94.9%: 73
80%-89.9%: 64
70%-79.9%: 10
60%-69.9%: 11
50%-59.9%: 6
Total Majority White Tracts: 244
40%-49.9%: 7
30%-39.9%: 9
20%-29.9%: 5
10%-19.9%: 9
0.1%-9.9%: 9
0%: 0
Total Minority White Tracts: 39
2015
95% or Higher: 11
90%-94.9%: 35
80%-89.9%: 62
70%-79.9%: 52
60%-69.9%: 30
50%-59.9%: 19
Total Majority White Tracts: 209
40%-49.9%: 11
30%-39.9%: 17
20%-29.9%: 25
10%-19.9%: 15
0.1%-9.9%: 6
0%: 0
Total Minority White Tracts: 74

Top 10 Tracts with the Highest Black Population
1990

1. 730: 94.2%
2. 5420: 93.4%
3. 15, 28: 92.3%
4. 36: 91.8%
5. 5410: 91.4%
6. 7551: 91.1%
7. 7512: 90.9%
8. 23: 89.0%
9. 2520: 87.4%
10. 29: 87.2%
2015
1. 7512: 88.1%
2. 9337: 87.7%
3. 730: 84.9%
4. 7511: 83.6%
5. 23: 82.2%
6. 15: 81.9%
7. 55: 81.4%
8. 5420, 9332: 81.0%
9. 29: 80.9%
10. 8813: 79.1%

Breakdown of # of Tracts by % of Black Population
1990

95% or Higher: 0
90%-94.9%: 7
80%-89.9%: 10
70%-79.9%: 4
60%-69.9%: 8
50%-59.9%: 6
Total Majority Black Tracts: 35
40%-49.9%: 7
30%-39.9%: 10
20%-29.9%: 9
10%-19.9%: 32
0.1%-9.9%: 190
0%: 0
Total Minority Black Tracts: 248
2015
95% or Higher: 0
90%-94.9%: 0
80%-89.9%: 9
70%-79.9%: 8
60%-69.9%: 28
50%-59.9%: 9
Total Majority Black Tracts: 52
40%-49.9%: 20
30%-39.9%: 17
20%-29.9%: 24
10%-19.9%: 44
0.1%-9.9%: 126
0%: 0
Total Minority Black Tracts: 231

Top 10 Tracts with the Highest Asian Population
1990

1. 7820: 23.3%
2. 1122: 11.2%
3. 1110: 10.8%
4. 105: 9.0%
5. 1810: 8.2%
6. 6372: 7.6%
7. 6384: 7.3%
8. 1121: 7.2%
9. 6386: 6.9%
10. 6395: 6.8%
2015
1. 7820: 34.1%
2. 7721: 26.8%
3. 6230: 26.7%
4. 1122: 21.9%
5. 7830: 17.0%
6. 1110: 16.6%
7. 105: 16.2%
8. 6395: 15.5%
9. 6372: 15.3%
10. 6386: 14.9%

Breakdown of # of Tracts by % of Asian Population
1990

95% or Higher: 0
90%-94.9%: 0
80%-89.9%: 0
70%-79.9%: 0
60%-69.9%: 0
50%-59.9%: 0
Total Majority Asian Tracts: 0
40%-49.9%: 0
30%-39.9%: 0
20%-29.9%: 1
10%-19.9%: 2
0.1%-9.9%: 273
0%: 7
Total Minority Asian Tracts: 283
2015
95% or Higher: 0
90%-94.9%: 0
80%-89.9%: 0
70%-79.9%: 0
60%-69.9%: 0
50%-59.9%: 0
Total Majority Asian Tracts: 0
40%-49.9%: 0
30%-39.9%: 1
20%-29.9%: 4
10%-19.9%: 17
0.1%-9.9%: 215
0%: 46
Total Minority Asian Tracts: 283

Top 10 Tracts with the Highest Hispanic Population
1990

1. 7820: 2.9%
2. 1122, 7209: 2.5%
3. 1810, 30: 2.3%
4. 8163, 9323, 9336: 2.1%
5. 6352, 7830: 2.0%
6. 1110, 1121, 2750: 1.9%
7. 10, 32, 40, 42, 7533: 1.8%
8. 12, 17, 1901, 6353, 7041, 7199: 1.7%
9. 6, 1820, 6945, 7531, 7551, 7721, 9326, 99: 1.6%
10. 13, 2710, 6933, 7120, 7532, 8164, 8230, 8730, 103: 1.5%
2015
1. 8230: 39.3%
2. 8164: 28.7%
3. 8163: 26.4%
4. 26: 24.2%
5. 9321: 22.7%
6. 8210: 22.6%
7. 99: 21.4%
8. 9230: 21.0%
9. 7043: 19.8%
10. 6945: 18.9%

Breakdown of # of Tracts by % of Hispanic Population
1990

95% or Higher: 0
90%-94.9%: 0
80%-89.9%: 0
70%-79.9%: 0
60%-69.9%: 0
50%-59.9%: 0
Total Majority Hispanic Tracts: 0
40%-49.9%: 0
30%-39.9%: 0
20%-29.9%: 0
10%-19.9%: 0
0.1%-9.9%: 278
0%: 5
2015
95% or Higher: 0
90%-94.9%: 0
80%-89.9%: 0
70%-79.9%: 0
60%-69.9%: 0
50%-59.9%: 0
Total Majority Hispanic Tracts: 0
40%-49.9%: 0
30%-39.9%: 1
20%-29.9%: 7
10%-19.9%: 33
0.1%-9.9%: 241
0%: 9

Integrated Tracts By Year
1990: 2
2015: 98

Most Integrated Tract by Year
1990
1122: White: 76.6% Black: 9.6% Asian: 11.2% Hispanic: 2.5%
2015
7721: White: 33.9% Black: 31.2% Asian: 26.8% Hispanic: 10.1%

All in all, the data shows that the county is much less racially stratified/segregated now than it was in 1990, and that it doesn’t appear that gentrification is really affecting many areas in terms of forcing out one racial group for another.



Housing Market Update January 2017




housing market update January 2017 Columbus, Ohio

The recent housing market update January 2017 edition information comes from Columbus Realtors.

Note: LSD= Local School District, CSD= City School District. In both cases, school district boundaries differ from city boundaries.

Top 15 Most Expensive Locations By Median Sales Price in January 2017
1. New Albany: $535,000
2. New Albany Plain LSD: $397,450
3. German Village: $376,000
4. Powell: $354,950
5. Dublin: $343,600
6. Granville CSD: $330,000
7. Bexley: $325,000
8. Upper Arlington CSD: $319,500
9. Olentangy LSD: $315,000
10. Big Walnut LSD: $306,250
11. Dublin CSD: $271,500
12. Worthington: $270,000
13. Buckeye Valley LSD: $259,000
14. Sunbury: $253,000
15. Downtown: $243,750

Top 15 Least Expensive Locations by Median Sales Price in January 2017
1. Obetz: $80,100
2. Hamilton LSD: $80,100
3. Whitehall: $85,950
4. Newark CSD: $86,900
5. Lancaster CSD: $103,000
6. Jefferson LSD: $123,000
7. London CSD: $124,000
8. Groveport Madison LSD: $125,900
9. Reynoldsburg CSD: $125,950
10. Columbus CSD: $129,900
11. South-Western CSD: $131,000
12. Columbus: $140,026
13. Jonathan Alder LSD: $150,000
14. Minerva Park: $159,500
15. Grove City: $160,950

Overall Market Median Sales Price in January 2017: $160,368
Median Sales Price Change January 2016-January 2016: +$3,172

Top 15 Locations with the Highest Median Sales Price % Growth Between January 2016 and January 2017
1. Whitehall: +69.5%
2. Circleville CSD: +64.9%
3. Sunbury: +63.0%
4. Jefferson LSD: +53.5%
5. Big Walnut LSD: +44.1%
6. Canal Winchester CSD: +40.9%
7. Westerville: +29.8%
8. Westerville CSD: +27.3%
9. Powell: +25.4%
10. Pataskala: +24.0%
11. Olentangy LSD: +23.5%
12. Gahanna Jefferson CSD: +21.8%
13. Grandview Heights: +21.2%
14. Granville CSD: +20.0%
15. Pickerington: +17.7%

Top 15 Locations with the Lowest Median Sales Price % Growth Between January 2016 and January 2017
1. London CSD: -53.5%
2. Obetz: -38.3%
3. Hamilton LSD: -27.1%
4. Jonathan Alder LSD: -25.2%
5. Buckeye Valley LSD: -23.0%
6. Reynoldsburg CSD: -18.7%
7. Hilliard: -17.7%
8. Lancaster CSD: -17.6%
9. Grove City: -15.3%
10. Dublin CSD: -12.8%
11. Johnstown-Monroe LSD: -10.8%
12. Upper Arlington CSD: -8.5%
13. Newark CSD: -8.1%
14. Dublin: -7.1%
15. South-Western CSD: -6.4%

Overall Market Median Sales Price % Change January 2016-January 2017: +2.0%

Top 10 Locations with the Most New Listings in January 2017
1. Columbus: 829
2. Columbus CSD: 544
3. South-Western CSD: 136
4. Olentangy LSD: 122
5. Westerville CSD: 100
6. Hilliard CSD: 94
7. Dublin CSD: 89
8. Worthington CSD: 66
9. Dublin: 64
10. Pickerington LSD: 60

Top 10 Locations with the Fewest New Listings in January 2017
1. Valleyview: 0
2. Lithopolis: 1
3. Minerva Park: 2
4. Sunbury: 2
5. Obetz: 3
6. Johnstown Monroe LSD: 5
7. Jefferson LSD: 8
8. Jonathan Alder LSD: 8
9. German Village: 8
10. Hamilton LSD: 8
11. Northridge LSD: 9

Total New Listings in the Columbus Metro in January 2017: 2,002
Overall Metro New Listings % Change January 2016-January 2017: -1.9%

Top 10 Fastest-Selling Locations by # of Days Homes Remain on the Market Before Sale in January 2017
1. Obetz: 18
2. Sunbury: 21
3. Pataskala: 22
4. Jefferson LSD: 26
5. Gahanna: 28
6. Minerva Park: 28
7. Delaware CSD: 29
8. Bexley: 31
9. Hilliard CSD: 31
10. Pickerington: 31
11. Worthington CSD: 31

Top 10 Slowest-Selling Locations by # of Days Homes Remain on the Market Before Sale in January 2017
1. Dublin: 96
2. New Albany: 93
3. Dublin CSD: 82
4. Powell: 80
5. Granville CSD: 79
6. Olentangy LSD: 78
7. Downtown: 77
8. Grandview Heights: 76
9. New Albany Plain LSD: 68
10. Canal Winchester CSD: 67
11. New Albany CSD: 65
12. Upper Arlington CSD: 62
13. Circleville CSD: 61
14. Johnstown Monroe LSD: 61
15. Hamilton LSD: 60

# of Days For-Sale Homes Remain on the Market Before Sale Across the Metro Overall: 51.6
Change in # of Days Before Sale January 2016-January 2017: -22.0



Top 10 Locations with the Greatest % Decline of # of Days on the Market Before Sale January 2016-January2017
1. Obetz: -89.2%
2. Pataskala: -64.5%
3. Whitehall: -64.3%
4. Circleville CSD: -56.1%
5. Gahanna: -53.3%
6. Grove City: -49.2%
7. Delaware CSD: -44.2%
8. Bexley: -40.4%
9. Pickerington LSD: -39.7%
10. Worthington CSD: -38.0%

Top 10 Locations with the Lowest % Decline of # of Days on the Market Before Sale January 2016-January 2017
1. German Village: +161.1%
2. Worthington: +123.8%
3. Powell: +77.8%
4. Grandview Heights: +46.2%
5. Big Walnut LSD: +41.5%
6. Minerva Park: +40.0%
7. Jonathan Alder LSD: +37.8%
8. Canal Winchester CSD: +31.4%
9. Marysville CSD: +28.3%
10. Johnstown Monroe LSD: +27.1%

% Change for the # of Days Homes Remain on the Market Before Sale Across the Metro Overall: -29.9%



Census Tract Income 2010-2015

The US Census recently released demographic information for census tracts for 2015. Here are some quick maps for Franklin County for median household income.

First, median household income for both 2010 and 2015.
Census tract income

And the % change between 2010-2015.

As can be seen, a lot of the greatest improvements over the 5-year period were around Downtown, the Near East Side, North High, South High and around some of the higher-income suburbs like Upper Arlington and the New Albany area.

For more local and national population and demographic data, visit:
Demographics and Population
US Census



2016 Election Results




I’m not going to get into any debate on the candidates themselves or what I personally thought/think of them. That’s not the point of this post, and frankly, there’s already plenty of opinions all over the internet on this. This post is about the 2016 election results for Ohio.

First, here is a map of total Democratic votes within Ohio’s counties.
2016 election results Democratic votes
As is typical, Democratic votes were most concentrated in counties with large cities.

Here are the metro areas that provided the most Democratic votes.
1. Cleveland: 561,368
2. Columbus: 450,146
3. Cincinnati: 339,159
4. Akron: 166,653
5. Dayton: 164,079
6. Toledo: 152,505
7. Youngstown: 100,395

And the top 10 counties with the most Democratic votes.
1. Cuyahoga: 398,271
2. Franklin: 351,198
3. Hamilton: 215,719
4. Summit: 134,256
5. Montgomery: 122,016
6. Lucas: 110,833
7. Stark: 68,146
8. Lorain: 66,949
9. Butler: 58,642
10. Mahoning: 57,381

Here is how Democratic votes changed by county between 2012 and 2016.
2016 election results Democratic vote change

As you can see, only a handful of counties saw Democratic votes increase in 2016 over 2012, Franklin County being one of them. Some of the biggest losses were in traditionally blue areas like Northeast Ohio.

And the map for total Republican votes.
2016 election results Republican votes

Republican votes by metro area.
1. Cincinnati: 440,375
2. Columbus: 429,930
3. Cleveland: 400,321
4. Dayton: 210,807
5. Akron: 151,997
6. Toledo: 134,558
7. Youngstown: 102,640

Top 10 counties for Republican votes.
1. Franklin: 199,331
2. Cuyahoga: 184,211
3. Hamilton: 173,665
4. Montgomery: 123,909
5. Summit: 112,026
6. Butler: 106,976
7. Stark: 98,388
8. Warren: 77,643
9. Lucas: 75,698
10. Clermont: 67,518

And here is the change of Republican votes in 2016 vs. 2012.
2016 election results Republican vote change

Most of Ohio’s counties saw increased Republican turnout, though again, Franklin County bucked the trend and actually saw declines.

Finally, a map of the net % change for each county and whether it trended more Republican or more Democratic vs. the net of the 2012 election.
2016 election results percentage difference

Almost all counties saw a net decrease of Democratic votes/increase in Republican votes. Only 3 counties of 88- Franklin, Delaware and Hamilton- trended more Democratic in 2016 over 2012. All the other 85 trended Republican.



Summer of 2016




Now that the Summer of 2016 is but a memory, let’s take a quick look back at where it stands in the weather record books.

Temperature

Summer 2016 Means
June-August Mean High: 85.5
June-August Mean Rank since 1878: 26th Warmest
While the average high for Summer 2016 was certainly warm, it fell just outside of the top 25. By comparison to recent years, 2010 (85.6), 2011 (85.7) and 2012 (87.7) all had warmer average highs.

June-August Mean Low: 66.1
June-August Mean Low Rank since 1878: 4th Warmest
The average low for the summer is what made 2016 much more exceptional. No recent years (last decade) were warmer, although 2010 did tie.

June-August Mean: 75.8
June-August Mean Rank since 1878: 10th
So if you thought this summer was hot, well you were right. Only 2010 (75.9) and 2012 (76.4) were warmer of any recent years.

Monthly Means
June Mean: 73.2
June Mean Rank since 1878: 17th Warmest
July Mean: 76.6
July Mean Rank since 1878: 20th Warmest
August Mean: 77.6
August Mean Rank since 1878: 6th Warmest
The summer gradually became hotter as it went on.

Summer 2016 Misc. Temperature Stats
# of 90+ Days: 18
90+ Days Rank: 22nd
Warmest High: 95
Warmest Low: 77
Coldest High: 72
Coldest Low: 48

Daily Temperature Records
June 11th: Record Warm Maximum Tie: 95: Tied with 1914 and 1933.
August 10th: Record Warm Minimum Tie: 75: Tied with 2001.
August 11th: Record Warm Minimum Tie: 76: Tied with 1918.
August 12th: Record Warm Minimum: 76: Beat record from 1947.
August 13th: Record Warm Minimum Tie: 75: Tied with 1995.

Precipitation
June-July Precipitation Total: 13.53″
June-July Precipitation Rank since 1878: 29th Wettest
Besides being warm, Summer 2016 was also fairly wet.

Monthly Precipitation Stats
June Precipitation: 5.22″
June Precipitation Rank since 1878: 29th
July Precipitation: 2.49″
July Precipitation Rank since 1878: 27th Driest
August Precipitation: 5.82″
August Precipitation Rank since 1878: 13th Wettest
So the summer was bookended by wet months with July being fairly dry.

Summer 2016 Misc. Precipitation Stats
Total Precipitation Days (including Trace): 45
Total Measurable Precipitation Days: 30
Measurable Precipitation Days Rank since 1878: 16th Highest
Days with 0.25″ or Higher: 16
Days with 0.50″ or Higher: 10
Days with 1.00″ or Higher: 4

Daily Precipitation Records
June 23rd: 2.75″: Beat the old record in 1901.

For more summer season and local weather information, follow the links below.
Summer Season Records
Wilmington National Weather Service