Election 2016

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.

First, here is a map of total Democratic votes within Ohio’s counties.

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.

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.

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.

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.

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.

Housing Trends of Columbus

***Originally Posted May 23, 2014, updated with 2014 data 9/18/2015 and again on 5/29/2016 with 2015 data***

I posted a graph recently showing housing permits for Franklin County to show how construction was trending. Today, I found more long-term data for both the city and county that continue to show some interesting trends.

First, let’s look at just the city of Columbus.

The chart above goes back through the mid-1990s. The first thing to notice is the housing boom from 1999-2002. Both single-family and multi-family construction was booming. The very good economic conditions, or seemingly good ones, during the 1999-2000 period is probably most responsible for this. What’s most interesting is that the boom seemed to last through at least part of the mild recession experienced in 2001-2002. After that, housing of both types started to decline through the late 2000s. This shows that construction in the city began to decline as early as 2002-2003, before the peak of the general housing boom in the mid-2000s.

Another interesting fact is at the end of the period. Multi-family units have recovered and are back in boom territory. This boom, however, is much different than the one that occurred more than a decade ago, as shown by the below chart.

During the 1999-2002 housing boom, multi-family housing averaged 59.3% of all the units constructed. In the current boom, which began in 2012, multi-family housing has averaged 81.4% of all the units constructed. The average difference between the types 1999-2002 was just 18.6 points. In the current boom, the difference is almost 63 points! In that regard, there really is no comparison between the housing boom a decade ago and the current one. Multi-family construction is in MUCH higher relative demand now than it was at any time in the last 20 years, including during the last housing boom.

But what does this tell us about where the housing is actually being constructed? Well, for that, we have to look at the entirety of Franklin County. Is the county also seeing a similar multi-family boom, or has single-family construction recovered there more than in the city?

This chart, in some aspects, is the opposite of the one for the city. While in the city, multi-family units consistently outnumbered single-family, the opposite is true for the county as a whole. This is likely because the county takes into account all the suburban areas, most of which are dominated by single-family housing. In only a few instances did multi-family housing units outnumber single-family before 2010. After 2010, it’s clear that the multi-family boom is hitting the rest of the county and not just Columbus itself. This may actually represent an even greater shift in housing construction. While it appeared that single-family construction was gradually rising since 2011, it once again fell off some in 2015 while multi-family went up. It appears that the new reality is, at least for now, holding steady.

Here’s the % of total chart for the county.

So it’s also clear that the county is seeing most of its construction in recent years be multi-family units.

How Big is the Columbus Police Force?

Police departments nationally have been in the news quite a bit lately, but usually not for positive reasons. Excessive force, racism and even murder charges have been levied against police. While it is difficult to measure such incidents within individual departments, we can at least look at how big police departments are relative to a city’s population, and that’s what this post is about.

I looked at Columbus and its peers and Midwest counterparts to see where it ranked in terms of police presence within the city limits. Here is what I found.

Total Law Enforcement Officers, 2012

Chicago, IL: 12,766
Las Vegas, NV: 4,814
Jacksonville, FL: 2,972
Detroit, MI: 2,883
San Antonio, TX: 2,883
Milwaukee, WI: 2,577
Austin, TX: 2,252
Charlotte, NC: 2,196
Columbus: 2,138
Kansas City, MO: 1,869
St. Louis, MO: 1,866
Indianapolis, IN: 1,813
Cleveland: 1,709
Nashville, TN: 1,637
San Jose, CA: 1,435
Portland, OR: 1,195
Cincinnati: 1,113
Minneapolis, MN: 983
Virginia Beach, VA: 955
Pittsburgh, PA: 947
Omaha, NE: 943
Orlando, FL: 931
Sacramento, CA: 861
Wichita, KS: 821
Toledo: 674
Madison, WI: 555
Providence, RI: 517
Akron: 461
Dayton: 415
Youngstown: 196
Canton: 163

Law Enforcement per 10,000 Residents, 2012
1. St. Louis: 58.6
2. Chicago: 47.1
3. Cleveland: 43.4
4. Milwaukee: 43.0
5. Detroit: 40.8
6. Kansas City: 40.3
7. Orlando: 37.8
8. Cincinnati: 37.6
9. Jacksonville: 35.4
10. Las Vegas: 32.5
11. Pittsburgh: 30.3
12. Youngstown: 29.4
13. Dayton: 29.2
14. Providence: 29.1
15. Charlotte: 27.2
16. Austin: 27.0
17. Columbus: 26.8
18. Nashville: 26.4
19. Minneapolis: 25.2
20. Toledo: 23.6
21. Madison: 23.4
22. Akron: 23.2
23. Omaha: 22.6
24. Canton: 22.4
25. Indianapolis: 21.6
26. Virginia Beach: 21.3
27. Wichita: 21.2
28. San Antonio: 20.9
29. Portland: 20.0
30. Sacramento: 18.1
31. San Jose: 14.7

So now that we know the size of the police force in these places, does the size have a correlation to crime rates?

Here is the violent crime rate for the same year as these stats, 2012. The rank for police force per 10K people is listed beside the violent crime ranking.

Violent Crime Rate per 100K People and Law Enforcement Rank per 10K People
1. Detroit: 2,122.9 #5
2. St. Louis: 1,776.5 #1
3. Cleveland: 1,383.8 #3
4. Milwaukee: 1,294.5 #4
5. Kansas City: 1,263.2 #6
6. Nashville: 1,216 #18
7. Indianapolis: 1,185.5 #25
8. Toledo: 1,171.9 #20
9. Orlando: 1,017.4 #7
10. Minneapolis: 992.2 #19
11. Cincinnati: 974.7 #8
12. Dayton: 973.7 #13
13. Akron: 886.6 #22
14. Youngstown: 809.2 #12
15. Las Vegas: 784 #10
16. Pittsburgh: 752 #11
17. Wichita: 742.5 #27
18. Sacramento: 738.6 #30
19. Charlotte: 647.9 #15
20. Providence: 636.9 #14
21. Columbus: 630 #17
22. Jacksonville: 617.3 #9
23. Omaha: 594.5 #23
24. Portland: 517.2 #29
25. San Antonio: 503.1 #28
26. Austin: 408.8 #16
27. Madison: 377.7 #21
28. San Jose: 363.3 #31
29. Virginia Beach: 169.4 #26
30. Canton: 28.6 #24
Chicago: N/A

Based on the ranking above, which cities are getting the best bang for their police force? That would be cities with a larger police force ranking (by at least 2 spots) than violent crime ranking. These would include: Orlando, Cincinnati, Youngstown, Las Vegas, Pittsburgh, Charlotte, Providence, Columbus, Jacksonville, Austin, Madison, Virginia Beach and Canton.

On the opposite end, the cities with failing police levels vs. violent crime include those places with a higher violent crime ranking than police ranking (by at least 2 spots). Those are: Detroit, Nashville, Indianapolis, Toledo, Minneapolis, Akron, Wichita, Sacramento, Portland, San Antonio and San Jose.

Finally, the cities with violent crime ranked about where their police size is include St. Louis, Cleveland, Milwaukee, St. Louis, Kansas City, Dayton and Omaha.

So Columbus is in the best category. Its violent crime ranking is 4 spots lower than its law enforcement ranking size, meaning that police in Columbus are performing better than average. Let’s just hope they’re doing the right, legal thing when policing.

For more information and other cities, large and small, check out this link: http://www.governing.com/topics/public-justice-safety/gov-cities-with-the-greatest-police-presence-most-officers-per-capita.html

The Final Tally on the Long Winter of 2013-2014 Part 1

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 a winter many would like to forget.

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
Online Graphing
As can be seen, monthly snowfall was above normal in 5 of the 7 months that snow can potentially fall in, in some cases more than 2x the normal value.

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: http://www.erh.noaa.gov/iln/events/20131112/

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: http://www.erh.noaa.gov/iln/events/20131127/

Online Graphing

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.
Online Graphing
Make a graph

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: http://www.erh.noaa.gov/iln/events/20131206/

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/

Online Graphing

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.

Online Graphing

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: http://www.erh.noaa.gov/iln/events/20140125/

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.
Online Graphing
Make a graph
Online Graphing
graph and chart

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/

Online Graphing
graph and chart

February’s 15.9″ of snow was the 6th snowiest on record.
Online Graphing
graph and chart

March Notalbe 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 the kept snowing.

Online Graphing
Online Graphing

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

So where did 2013-2014 fall in the seasonal total? 56.4″ This 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.

Online Graphing
Make a graph

Coming up: How did the winter’s temperatures rank in history? We know there was a lot of cold, but how much?