Peer and Columbus Metro Diversity Trends




In a related post to the recent metro population comparison of Columbus to its peer 1.5-2.5 million group, I wanted to see where the metros stood as far as their current racial makeup as well as where they are trending. So here are the current Columbus metro diversity trends, along with 17 other peer metros, according to the US Census.

First, let’s take a look at the breakdown of race by metro in 2012, the last year that data is available.

Metro diversity trends
Columbus had the 5th highest % of its metro population as White, non-Hispanic.

Columbus came in at #8 for the % of its metro population being Black, non Hispanic.

Columbus ranks 9th for its % of metro population that is Asian, non-Hispanic.

Columbus ranked poorly in this group, coming in at 15th of 18.

Finally, Columbus ranked 7th in the population of Other, non-Hispanic as a % of the total metro population.

So currently, what is the overall diversity ranking of the 18 metros? To find out, I used a simple formula: Each metro would be assigned points (1-18) based on the ranking position in each racial group. Here are the final rankings.

Overall, Columbus comes in as the 8th most-diverse metro in its 18-peer group. So a bit better than average and perhaps a bit surprising to some.

But what about where this diversity is trending? To find out, I looked at 2005 and 2012 and calculated how each racial group had changed over the period.

Columbus did relatively well with Non-Hispanic Whites, growing at the 5th best pace.
Metro diversity trends non-Hispanic Black
The Columbus metro came in the top 10, at #7, for Non-Hispanic Black population growth.

The metro didn’t fare as well on growth in the Asian population, coming in at 10th.

Columbus came in at #6 for this group.

So using the same point system from above, what were the fastest diversifying metros as of 2012?

The Columbus metro was the 5th fastest diversifying metro in its peer group in 2012.

Overall, Columbus ranks higher than and much higher than average in both current racial diversity and the rate of racial diversity growth, respectively. The Columbus vs. Other Cities page examines many types of similar population and demographic comparisons.



Winter 2013-2014 Review




Winter 2013-2014 review

For a good portion of the US, the winter of 2013-2014 was one of the worst, if not the worst, in recent memory. Cold and snow hit early in the season and didn’t let up until the first half of March. Now that April is behind us (the last month that snow typically might fall during a season), we can take a look back at the Winter 2013-2014 Review.

A Look Back at Snowfall
For many in Central Ohio, winter provided its first taste on October 23rd, when a cold front briefly changed rain to a wet snow that coated car tops. This was merely a prelude to what would come.

2013-14 Winter Snowfall vs. Normal
Winter 2013-2014 review total snowfall

November Notable Snow Events
November 11-12th, 2013: This was the first real accumulating snowfall of the season, dropping a general 1″-2″ across the area. The highest total in Franklin County was 2″ reported just southeast of Clintonville. A map of the event can be found here.

November 26th-27th, 2013: The months 2nd and larger event occurred towards the end of the month, and dropped 1″-4″ across the county, with the higher totals on the east side of Columbus. A map of the event can be found here.
Winter 2013-2014 review November 2013 snow events
The November total of 4.7″, while not anywhere near record breaking, was a top 20 snowiest, coming in at #14. November 2013 was also the snowiest Columbus had seen since 1972, when 6.3″ fell.

December Notable Snow Events
December 6th, 2013: This was the first major event of the season. A low pressure center brought rain to the area on the 5th. As temperatures cooled, rain gradually changed to freezing rain and then heavy snow, dropping 3″-6″ across the area. A map of this event can be found here.

December 10th, 2013: The second event of the month was a persistent band of snow that set up alon I-71. The cold air produced high ratios, dropping 1″-3″. http://www.erh.noaa.gov/iln/events/20131210/

December 14th, 2013: Rain changed to snow along and north of I-71. http://www.erh.noaa.gov/iln/events/20131214/
Winter 2013-2014 review December 2013 snow events
December’s 12.7″ total was 2 1/2x normal, and the first 10 days of the month were the snowiest on record. It also made the month the 8th snowiest December on record. Further, it was the 2nd consecutive above average December and the 5th since 2007 to be so.

January Notable Snow Events
January 2nd, 2014: The new year started off as snowy as the previous ended, when a low pressure brought occasionally heavy snow and 3″-5″ across the city. http://www.erh.noaa.gov/iln/events/20140102/

January 18th-19th, 2014: A clipper system, Columbus’ most reliable snow producer, brought 1″-2″ across the area. http://www.erh.noaa.gov/iln/events/20140119/

January 25th-26th, 2014: The months’ signature event, a strong storm brough a mixed bag of precipitation, including heavy snow to parts of the city. As the storm passed, additional snow squalls developed into the 26th and brought occasional whiteout conditions. Columbus’ official 2-day total was 8.3″. A map of the event can be found here, though it only lists totals for the 25th:

All told, the 17.7″ of snow for the month was the 16th snowiest on record, and the 8.3″ snow event tied for the 10th largest January event since records began.
Winter 2013-2014 review January 2014 snow events

February Notable Snow Events
February 4th-5th, 2014: A low pressure brought heavy snow and mixed precipitation to the area, and proved to be winter’s largest snow event with 6″-10″ across the city. The 10.6″ at Columbus was the largest storm of the winter, tied as the 3rd largest February snowstorm, and provided the 7th largest daily February snowfall. http://www.erh.noaa.gov/iln/events/20140205/

February 9th, 2014: A weak system brought 1″-3″. http://www.erh.noaa.gov/iln/events/20140209/

February 14th-15th, 2014: Valentines Day brought a storm that skimmed the area with 2″-4″, with much higher totals to the south. http://www.erh.noaa.gov/iln/events/20140215/
Winter 2013-2014 review February 2014 snow events
February’s 15.9″ of snow was the 6th snowiest on record.

March Notable Snow Events
March 2nd-3rd, 2014: A low pressure brought 2-3″ over the city. http://www.erh.noaa.gov/iln/events/20140302/

March 29th, 2014: A storm brought in 1″-2″ in spring’s first week. http://www.erh.noaa.gov/iln/events/20140329/

March did not break any records or have any large events, but it was more or less a capping month to a winter that kept snowing.
Winter 2013-2014 review March 2014 snow events

April saw just one snow event, on the 15th, when half an inch to 1″ fell, ending the snowfall season.

So ultimately, 2013-2014’s 56.4″ of snow ranks it as the 3rd snowiest winter since records began in 1878. It was also the #1 snowiest meteorological winter (December-February) on record. The graph below shows the top 10 snowiest winters. Notice that 4 of the 10 have occurred since 2002, with 3 since 2007. Are we possibly entering a snowier period? That remains to be seen.
W



2013 Metro Area Comparison




2013 Metro Area Comparison

The recent Census release of updated population numbers gives new figures on metro populations. In previous articles, I talked mostly about density, so this time, the data is being expanded a bit for a full 2013 metro area comparison.

Metro Area Population on July 1, 2012 and July 1, 2013 By Rank
2012————————————–—-2013

1. Pittsburgh: 2,360,989— 1. Pittsburgh: 2,360,867
2. Charlotte: 2,294,990—2. Charlotte: 2,335,358
3. Portland, OR: 2,289,038—3. Portland, OR: 2,314,554
4. San Antonio, TX: 2,234,494—4. San Antonio, TX: 2,277,550
5. Orlando: 2,223,456—5. Orlando: 2,267,846
6. Sacramento, CA: 2,193,927—6. Sacramento, CA: 2,215,770
7. Cincinnati: 2,129,309—7. Cincinnati: 2,137,406
8. Cleveland: 2,064,739—8. Cleveland: 2,064,725
9. Kansas City: 2,038,690—9. Kansas City: 2,054,473
10. Las Vegas: 1,997,659—10. Las Vegas: 2,027,868
11. Columbus: 1,944,937—11. Columbus: 1,967,066
12. Indianapolis: 1,929,207—12. Indianapolis: 1,953,961
13. San Jose, CA: 1,892,894—13. San Jose, CA: 1,919,641
14. Austin, TX: 1,835,110— 14. Austin, TX: 1,883,051
15. Nashville: 1,726,759—15. Nashville: 1,757,912
16. Virginia Beach, VA: 1,698,410—16. Virginia Beach, VA: 1,707,369
17. Providence, RI: 1,601,160—17. Providence, RI: 1,604,291
18. Milwaukee: 1,566,182—18. Milwaukee: 1,569,659

Total Metro Population Change, 2012-2013, By Rank
1. Austin: +47,941
2. Orlando: +44,390
3. San Antonio: +43,056
4. Charlotte: +40,368
5. Nashville: +31,153
6. Las Vegas: +30,209
7. San Jose: +26,747
8. Portland: +25,516
9. Indianapolis: +24,754
10. Columbus: +22,129
11. Sacramento: +21,843
12. Kansas City: +15,783
13. Virginia Beach: +8,959
14. Cincinnati: +8,097
15. Milwaukee: +3,477
16. Providence: +3,131
17. Cleveland: -14
18. Pittsburgh: -122

Average Annual Population Change from 2000-2010 vs. 2010-2013
2000-2010——————–—-2010-2013
1. Charlotte: +88,657— 1. Austin: +55,587
2. Las Vegas: +57,550— 2. San Antonio: +45,014
3. Orlando: +48,985— 3. Orlando: +44,478
4. Austin: +46,653— 4. Charlotte: +39,447
5. San Antonio: +43,081— 5. Portland: +29,515
6. Indianapolis: +36,277— 6. Nashville: +29,007
7. Nashville: +35,910— 7. San Jose: +27,577
8. Sacramento: +35,227— 8. Las Vegas: +25,553
9. Portland: +29,819— 9. Sacramento: +22,214
10. Columbus: +28,928— 10. Indianapolis: +22,028
11. Kansas City: +17,330— 11. Columbus: +21,697
12. Cincinnati: +10,495— 12. Kansas City: +15,134
13. San Jose: +10,109— 13. Virginia Beach: +10.182
14. Virginia Beach: +10,045— 14. Cincinnati: +7,609
15. Milwaukee: +5,517— 15. Milwaukee: +4,584
16. Providence: +1,846— 16. Pittsburgh: +1,527
17. Cleveland: -7,090— 17. Providence: +1,146
18. Pittsburgh: -7,480— 18. Cleveland: -4,172

Annual Growth Rate % Change 2000-2010 vs. 2010-2013**
1. San Jose: +172.8%
2. Pittsburgh: +120.4%
3. Cleveland: +69.9%
4. Austin: +19.1%
5. San Antonio: +4.5%
6. Virginia Beach: +1.4%
7. Portland: -1.0%
8. Orlando: -9.2%
9. Kansas City: -12.7%
10. Milwaukee: -16.9%
11. Nashville: -19.2%
12. Columbus: -25.0%
13. Cincinnati: -27.5%
14. Sacramento: -36.9%
15. Providence: -37.9%
16. Indianapolis: -39.3%
17. Charlotte: -55.5%
18. Las Vegas: -55.6%

**Some of the changes in rates are due to boundary changes. For example, part of the growth rate for Columbus 2000-2010 was a retroactive population addition when boundaries were changed in 2013. The actual growth rate changed very little.

Metro Area Density 2012 vs. 2013
2012——————————2013
1. Cleveland: 1,033.3—Cleveland: 1,033.9
2. Providence: 978.8— 2. Providence: 980.6
3. Milwaukee: 859.6— 3. Milwaukee: 861.0
4. San Jose: 702.9— 4. San Jose: 712.3
5. Virginia Beach: 642.2— 5. Orlando: 649.6
6. Orlando: 637.0— 6. Virginia Beach: 645.0
7. Cincinnati: 484.4— 7. Cincinnati: 486.4
8. Indianapolis: 444.4— 8. Charlotte: 450.8
9. Charlotte: 443.4— 9. Indianapolis: 450.1
10. Austin: 428.6—- 10. Austin: 440.0
11. Pittsburgh: 413.7— 11. Pittsburgh: 413.8
12. Columbus: 400.8— 12. Columbus: 405.6
13. Portland: 335.9— 13. Portland: 339.5
14. Sacramento: 316.7— 14. Sacramento: 319.5
15. San Antonio: 302.4— 15. San Antonio: 308.3
16. Kansas City: 276.5— 16. Kansas City: 278.6
17. Nashville: 270.7— 17. Nashville: 275.6
18. Las Vegas: 247.3— 18. Las Vegas: 250.6


Total Births 2012 vs. 2013
2012————————————2013
1. San Antonio: +31,045— 1. San Antonio: +31,527
2. Kansas City: +28,087— 2. Kansas City: +27,937
3. Cincinnati: +27,803— 3. Sacramento: +27,865
4. Portland: +27,683— 4. Portland: +27,762
5. Sacramento: +27,649— 5. Cincinnati: +27,545
6. Orlando: +27,165— 6. Orlando: +27,484
7. Las Vegas: +26,385— 7. Las Vegas: +26,616
8. Columbus: +25,904— 8. Columbus: +25,740
9. Indianapolis: +25,472— 9. Austin: +25,519
10. Austin: +25,015 — 10. Indianapolis: +25,507
11. Charlotte: +24,415— 11. Charlotte: +24,437
12. San Jose: +24,240— 12. San Jose: +24,386
13. Pittsburgh: +24,006— 13. Pittsburgh: +23,938
14. Cleveland: +23,227— 14. Cleveland: +23,204
15. Virginia Beach: +22,799— 15. Virginia Beach: +22,773
16. Nashville: +21,641— 16. Nashville: +21,714
17. Milwaukee: +20,125— 17. Milwaukee: +19,963
18. Providence: +16,761— 18. Providence: +16,668

Total Deaths 2012 vs. 2013
2012—————————–—-2013
1. Austin: -8,732— 1. Austin: -8,859
2. San Jose: -9,965— 2. San Jose: -10,319
3. Nashville: -12,187— 3. Nashville: -12,327
4. Charlotte: -12,241— 4. Charlotte: -12,396
5. Virginia Beach: -12,801— 5. Milwaukee: -12,856
6. Milwaukee: -12,836— 6. Virginia Beach: -13,094
7. Indianapolis: -13,520— 7. Indianapolis: -13,414
8. Columbus: -13,938— 8. Columbus: -14,118
9. Las Vegas: -14,311— 9. Providence: -14,387
10. Providence: -14,568— 10. Las Vegas: -14,462
11. San Antonio: -15,367— 11. San Antonio: -15,593
12. Orlando: -15,419— 12. Orlando: -15,882
13. Sacramento: -15,973— 13. Sacramento: -16,133
14. Portland: -16,013— 14. Portland: -16,155
15. Kansas City: -16,255— 15. Kansas City: -16,254
16. Cincinnati: -18,477— 16. Cincinnati: -18,490
17. Cleveland: -20,708— 17. Cleveland: -20,326
18. Pittsburgh: -27,310— 18. Pittsburgh: -27,070

Net Natural Growth (Births vs. Deaths) 2012 vs. 2013
2012————————————–2013
1. Austin: +16,283— 1. Austin: +16,660
2. San Antonio: +15,678— 2. San Antonio: +15,934
3. San Jose: +14,275— 3. San Jose: +14,067
4. Charlotte: +12,174— 4. Las Vegas: +11,622
5. Las Vegas: +12,074— 5. Indianapolis: +12,093
6. Columbus: +11,966— 6. Charlotte: +12,041
7. Indianapolis: +11,952— 7. Sacramento: +11,732
8. Kansas City: +11,862— 8. Kansas City: +11,683
9. Orlando: +11,746— 9. Columbus: +11,622
10. Sacramento: +11,676— 10. Portland: +11,607
11. Portland: +11,670— 11. Orlando: +11,602
12. Virginia Beach: +9,998— 12. Virginia Beach: +9,679
13. Nashville: +9,454— 13. Nashville: +9,387
14. Cincinnati: +9,326— 14. Cincinnati: +9,055
15. Milwaukee: +7,289— 15. Milwaukee: +7,107
16. Cleveland: +2,519— 16. Cleveland: +2,878
17. Providence: +2,193— 17. Providence; +2,281
18. Pittsburgh: -3,310— 18. Pittsburgh: -3,132

Domestic In-Migration 2012 vs. 2013
2012———————————2013
1. Austin: +31,041— 1. Austin: +25,908
2. Orlando: +22,667— 2. San Antonio: +22,392
3. San Antonio: +21,908— 3. Charlotte: +21,382
4. Charlotte: +18,000— 4. Nashville: +17,975
5. Nashville: +14,946— 5. Orlando: +17,316
6. Las Vegas: +12,315— 6. Las Vegas: +10,524
7. Portland: +11,767— 7. Indianapolis: +8,934
8. Indianapolis: +4,146— 8. Portland: +7,901
9. Columbus: +3,275— 9. Columbus: +5,749
10. Pittsburgh: +1,963— 10. Sacramento: +3,329
11. Sacramento: +1,302— 11. Kansas City: +771
12. Kansas City: -1,061— 12. Pittsburgh: +590
13. San Jose: -2,304— 13. San Jose: -1,397
14. Milwaukee: -4,291— 14. Providence: -3,721
15. Providence: -5,210— 15. Cincinnati: -3,894
16. Virginia Beach: -5,950— 16. Cleveland: -5,581
17. Cincinnati: -6,024— 17. Milwaukee: -5,663
18. Cleveland: -9,990— 18. Virginia Beach: -5,920

International In-Migration 2012 vs. 2013
2012————————————–2013
1. Orlando: +14,506— 1. Orlando: +14,725
2. San Jose: +13,728— 2. San Jose: +14,124
3. Virginia Beach: +7,562— 3. Las Vegas: +6,506
4. Las Vegas: +6,606— 4. Sacramento: +6,071
5. Sacramento: +5,921— 5. Austin: +5,322
6. Austin: +5,199— 6. Portland: +5,280
7. Portland: +5,109— 7. Virginia Beach: +5,037
8. Columbus: +4,654— 8. Charlotte: +4,996
9. Providence: +4,637— 9. Columbus: +4,689
10. Charlotte: +4,573— 10. Providence: +4,563
11. San Antonio: +4,441— 11. Indianapolis: +4,064
12. Indianapolis: +3,958— 12. Cleveland: +3,698
13. Cleveland: +3,647— 13. San Antonio: +3,469
14. Nashville: +3,305— 14. Nashville: +3,463
15. Cincinnati: +3,268— 15. Cincinnati: +3,326
16. Kansas City: +3,164— 16. Kansas City: +3,119
17. Pittsburgh: +2,767— 17. Pittsburgh: +2,778
18. Milwaukee: +2,179— 18. Milwaukee: +2,233

Net In-Migration Total 2012 vs. 2013
2012—————————–—-2013
1. Orlando: +37,173— 1. Orlando: +32,041
2. Austin: +36,240— 2. Austin: +31,230
3. San Antonio: +25,949— 3. Charlotte: +26,378
4. Charlotte: +22,573— 4. San Antonio: +25,861
5. Las Vegas: +18,921— 5. Nashville: +21,428
6. Nashville: +18,251— 6. Las Vegas: +17,030
7. Portland: +16,876— 7. Portland: +13,181
8. San Jose: +11,424— 8. Indianapolis: +12,998
9. Indianapolis: +8,104— 9. San Jose: +12,727
10. Columbus: +7,929— 10. Columbus: +10,438
11. Sacramento: +7,223— 11. Sacramento: +9,400
12. Pittsburgh: +4,730— 12. Kansas City: +3,890
13. Kansas City: +2,103— 13. Pittsburgh: +3,368
14. Virginia Beach: +1,612— 14. Providence: +842
15. Providence: -573— 15. Cincinnati: -568
16. Milwaukee: -2,112— 16. Virginia Beach: -883
17. Cincinnati: -2,756— 17. Cleveland: -1,883
18. Cleveland: -6,343— 18. Milwaukee: -3,430

Residential Construction Trends of Columbus in One Graph




We’ve been hearing a lot the last few years about how residential construction has largely turned toward the rental variety, and no more so than in the urban areas. I have tried to document the level of activity in the city in my development page, but it doesn’t quite show what’s going on in the city overall. I did a little research and found some surprising realities that fully support the rental boom. The residential construction trends of Columbus have changed significantly in recent years.

Here is a graph of annual housing construction permits from 2004-2013 broken down by multi-family and single-family types.

The chart above is based on the # of units, not the number of overall projects.

So what do the numbers say? Well, it raises some interesting questions. First, was the amount of single-family home construction on the decline before 2004 given the downward trend from that year through 2005? And was multi-family construction on the rise during the same period? Did the recession merely interrupt a trend that began more than a decade ago and resurfaced strongly in recent years? It’s hard to say for sure as I don’t have information before 2004, but regardless, it is clear that multi-family construction is the preferred residential preference right now by builders. Single-family home construction, however, has remained steady and well below its previous peak of the last decade.

This continued low level of single-family construction has likely contributed to the fact that area sales in that market have been down for several months now due to a lack of inventory. Prices, however, have risen.



Housing Market Update February 2014



housing market update February 2014 Columbus, Ohio

Unfortunately, I have been unable to update this site for about a month, but I am back now and have quite a bit to add. First, I have the numbers for the local Housing Market Update February 2014. Due to changes in the way the numbers were gotten, January’s were not available. I still do them for 21 major areas of Franklin County, however, and here they are. As always, the data is from Columbus Realtors.

Top 10 February 2014 Sales Totals
1. Columbus: 535
2. Grove City: 39
3. Westerville: 36
4. Upper Arlington: 33
5. Dublin: 31
6. Hilliard: 30
7. Reynoldsburg: 29
8. Clintonville: 28
9. Gahanna: 23
10. Downtown: 14

Top 10 February 2014 Sales Increases over February 2013
1. Obetz: +200.0%
2. Westerville: +38.5%
3. Grove City: +14.7%
4. German Village: +10.0%
5. Hilliard: +7.1%
6. Gahanna: +0.0%
7. New Albany: +0.0%
8. Upper Arlington: +0.0%
9. Whitehall: +0.0%
10. Downtown: -6.7%

Top 10 Year-to-Date Sales Through February 2014
1. Columbus: 1,076
2. Dublin: 72
3. Grove City: 65
4. Clintonville: 62
5. Reynoldsburg: 59
6. Westerville: 59
7. Upper Arlington: 55
8. Hilliard: 54
9. Gahanna: 40
10. Canal Winchester: 29

Top 10 Year-to-Date Increases Through February 2014 Over 2013
1. Obetz: +300.0%
2. Pataskala: +20.8%
3. Worthington: +8.0%
4. German Village: +6.7%
5. Reynoldsburg: +3.5%
6. Grove City: +3.2%
7. Westerville: -1.7%
8. Hilliard: -1.8%
9. Clintonville: -6.1%
10. Columbus: -6.8%

Average Sales February 2014
Urban: 60.1
Suburban: 22.9
Urban without Columbus: 12.6

Average % Change February 2014 vs. February 2013
Urban: -1.1%
Suburban: -7.1%
Urban without Columbus: -0.2%

Average YTD Sales Through February 2014
Urban: 120
Suburban: 45.1
Urban without Columbus: 24.4

Average YTD % Change YTD Through February 2014
Urban: +11.8%
Suburban: -9.4%
Urban without Columbus: +13.7%

Top 10 Average Sales Price February 2014
1. New Albany: $641,524
2. Bexley: $460,307
3. Upper Arlington: $378,852
4. Dublin: $334,967
5. Grandview: $318,667
6. Downtown: $302,720
7. German Village: $232,014
8. Worthington: $227,422
9. Westerville: $209,149
10. Hilliard: $199,724

Top 10 Average Sales Price % Change February 2014 vs. February 2013
1. Grandview: +68.6%
2. Pataskala: +47.1%
3. Upper Arlington: +46.5%
4. Bexley: +46.1%
5. Pickerington: +28.6%
6. Westerville: +25.9%
7. Obetz: +25.0%
8. Reynoldsburg: +19.9%
9. Canal Winchester: +17.6%
10. Hilliard: +13.1%

Top 10 Average Sales Prices YTD Through February 2014
1. New Albany: $515,036
2. Bexley: $418,680
3. Upper Arlington: $343,026
4. Dublin: $326,231
5. Downtown: $314,042
6. German Village: $309,343
7. Grandview: $251,136
8. Worthington: $231,133
9. Westerville: $205,636
10. Hilliard: $200,965

Top 10 Average YTD Sales Price % Change Through February 2014 vs. 2013
1. Pataskala: +36.2%
2. Whitehall: +35.5%
3. Bexley: +31.7%
4. Grandview: +26.1%
5. German Village: +22.2%
6. Downtown: +20.0%
7. Pickerington: +18.3%
8. Westerville: +15.8%
9. Canal Winchester: +15.2%
10. Reynoldsburg: +15.1%

Average Sales Price February 2014
Urban: $228,596
Suburban: $235,812
Urban without Columbus: $239,422

Average Sales Price Change February 2014 vs. February 2013
Urban: +15.9%
Suburban: +17.1%
Urban without Columbus: +16.9%

Average Sales Price YTD
Urban: $222,639
Suburban: $220,917
Urban without Columbus: $232,886

Average Sales Price % Change YTD
Urban: +13.0%
Suburban: +13.3%
Urban without Columbus: +13.0%

Top 10 Fastest Selling Markets February 2014 (Based on Average # of Days for Listings to Sell)
1. Grandview: 39
2. Clintonville: 57
3. Obetz: 62
4. Worthington: 70
5. Pataskala: 74
6. Hilliard: 78
7. Upper Arlington: 83
8. Westerville: 88
9. Pickerington: 89
10. Columbus: 91

Top 10 Fastest Selling Markets YTD
1. Worthington: 50
2. Grandview: 58
3. Pickerington: 60
4. Clintonville: 64
5. Obetz: 64
6. Hilliard: 66
7. Whitehall: 66
8. Upper Arlington: 73
9. Gahanna: 85
10. Westerville: 87

Average # of Days Before Sale, February 2014
Urban: 86.2
Suburban: 104.4
Urban without Columbus: 85.7

Average # of Days Before Sale YTD
Urban: 81.1
Suburban: 89.1
Urban without Columbus: 80.4

Top 10 Lowest Market Housing Supplies (Based on # of Months to Sell all Listings)
1. Worthington: 1.0
2. Hilliard: 1.6
3. Upper Arlington: 1.7
4. Westerville: 1.7
5. Clintonville: 1.8
6. Gahanna: 1.9
7. German Village: 1.9
8. Grandview: 2.0
9. Obetz: 2.2
10. Bexley and Dublin: 2.4

A healthy housing supply is considered to be around 5 months. Anything less than 3 months is considered very low.

Average # of Months to Sell All Listings, February 2014
Urban: 2.3
Suburban: 2.9
Urban without Columbus: 2.3

Average % Change of Single-Family Home Sales February 2014 vs. February 2013
Urban: +15.0%
Suburban: -7.7%
Urban without Columbus: +17.0%

Average % Change of Single-Family Home Sales YTD vs. YTD 2013
Urban: +3.0%
Suburban: -10.3%
Urban without Columbus: +4.0%

Average % Change of Condo Sales February 2014 vs. February 2013
Urban: -21.0%
Suburban: +7.0%
Urban without Columbus: -21.8%

Average % Change of Condo Sales YTD vs. YTD 2013
Urban: +20.6%
Suburban: +23.7%
Urban without Columbus: +23.0%