Category Archives: Columbus History

2015 City Population Estimates

Posted on by
Reply




2015 city population estimates

The latest 2015 city population estimates came out today from the US Census, so let’s take a look at them.

First of all, let’s look at the top 25 cities in Ohio on July 1, 2015, and the population change from July 1, 2014.
1. Columbus: 850,106 +12,175
2. Cleveland: 388,072 -1,788
3. Cincinnati: 298,550 +509
4. Toledo: 279,789 -803
5. Akron: 197,542 -557
6. Dayton: 140,599 -235
7. Parma: 79,937 -119
8. Canton: 71,885 -395
9. Youngstown: 64,628 -438
10. Lorain: 63,647 -104
11. Hamilton: 62,407 -44
12. Springfield: 59,680 -246
13. Kettering: 55,525 -117
14. Elyria: 53,775 -179
15. Lakewood: 50,656 -297
16. Cuyahoga Falls: 49,146 -123
17. Middletown: 48,760 -6
18. Newark: 47,986 +140
19. Euclid: 47,676 -242
20. Mentor: 46,901 +35
21. Mansfield: 46,830 -5
22. Beavercreek: 46,227 +217
23. Dublin: 45,098 +794
24. Cleveland Heights: 44,962 -243
25. Strongsville: 44,668 -9

Only a handful of the top 25 saw growth.

Now let’s look at the Columbus metro overall, and the change since July 1, 2014.
1. Columbus: 850,106
2. Newark (Licking): 47,986
3. Dublin: 45,098
4. Lancaster (Fairfield): 39,766
5. Grove City: 39,388
6. Westerville: 38,384
7. Delaware (Delaware): 37,995
8. Reynoldsburg: 37,158
9. Upper Arlington: 34,907
10. Gahanna: 34,590
11. Hilliard: 33,649
12. Marysville (Union): 22,817
13. Pickerington (Fairfield): 19,745
14. Whitehall: 18,694
15. Pataskala (Licking): 15,245
16. Worthington: 14,498
17. Bexley: 13,654
18. Circleville (Pickaway): 13,857
19. Powell (Delaware): 12,927
20. Heath (Licking): 10,489
21. London (Madison): 10,060
22. New Albany: 9,879
23. Canal Winchester: 7,818
24. Grandview Heights: 7,328
25. Logan (Hocking): 7,117
26. Granville (Licking): 5,747
27. Groveport: 5,737
28. Sunbury (Delaware): 5,097
29. Johnstown (Licking): 4,918
30. Obetz: 4,761
31. New Lexington (Perry): 4,727
32. Plain City (Madison): 4,302
33. West Jefferson (Madison): 4,279
34. Ashville (Pickaway): 4,190
35. Mount Gilead (Morrow): 3,653
36. Baltimore (Fairfield): 2,970
37. Buckeye Lake (Licking): 2,760
38. Crooksville (Perry): 2,498
39. Hebron (Licking): 2,409
40. Richwood (Union): 2,281
41. Utica (Licking): 2,196
42. Cardington (Morrow): 2,047
43. South Bloomfield (Pickaway): 1,851
44. Mount Sterling (Madison): 1,745
45. Commercial Point (Pickaway): 1,611
46. Somerset (Perry): 1,464
47. Bremen (Fairfield): 1,437
48. Ashley (Delaware): 1,361
49. Lithopolis (Fairfield) 1,351
50. Minerva Park: 1,318
51. Hanover (Licking): 1,131
52. Williamsport (Pickaway): 1,051
53. Millersport (Fairfield): 1,049
54. Urbancrest: 1,033
55. Thornville (Perry): 997
56. Pleasantville (Fairfield): 958
57. New Holland (Pickaway): 836
58. Milford Center (Union): 823
59. Junction City (Perry): 810
60. Amanda (Fairfield): 747
61. Shawnee Hills (Delaware): 735
62. New Straitsville (Perry): 715
63. Ostrander (Delaware): 688
64. Galena (Delaware): 684
65. Shawnee (Perry): 646
66. Valleyview: 636
67. Thurston (Fairfield): 610
68. Marble Cliff: 584
69. Corning (Perry): 573
70. Riverlea: 569
71. Stoutsville (Fairfield): 566
72. Kirkersville (Licking): 541
73. Carroll (Fairfield): 520
74. Laurelville (Hocking): 517
75. Alexandria (Licking): 523
76. Murray City (Hocking): 435
77. Edison (Morrow): 435
78. Sugar Grove (Fairfield): 431
79. Hartford (Licking): 402
80. St. Louisville (Licking): 376
81. South Solon (Madison): 361
82. Marengo (Morrow): 346
83. Harrisburg: 334
84. Midway (Madison): 327
85. Rushville (Fairfield): 305
86. Tarlton (Pickaway): 290
87. Orient (Pickaway): 275
88. Magnetic Springs (Union): 276
89. Fulton (Morrow): 261
90. Lockbourne: 247
91. Unionville Center (Union): 239
92. Chesterville (Morrow): 230
93. Darbyville (Pickaway): 229
94. Gratiot (Licking): 224
95. Glenford (Perry): 177
96. Sparta (Morrow): 163
97. Hemlock (Perry): 156
98. West Rushville (Fairfield): 135
99. Brice: 120
100. Rendville (Perry): 36

Finally, let’s take a look at population growth ranking between Census 2010 and July 1, 2015.
1. Columbus: +63,073
2. Hilliard: +5,214
3. Grove City: +3,813
4. Dublin: +3,347
5. Delaware: +3,242
6. Westeville: +2,264
7. New Albany: +2,155
8. Powell: +1,472
9. Pickerington: +1,454
10. Gahanna: +1,342
11. Reynoldsburg: +1,265
12. Upper Arlington: +1,136
13. Lancaster: +986
14. Worthington: +923
15 Grandview Heights: +792
16. Marysville: +723
17. Canal Winchester: +717
18. Sunbury: +708
19. Whitehall: +632
20. Bexley: +597
21. Circleville: +543
22. Newark: +413
23. Groveport: +374
24. Johnstown: +286
25. Pataskala: +283
26. Lithopolis: +245
27. Obetz: +229
28. Hanover: +210
29. Heath: +179
30. London: +156
31. South Bloomfield: +107
32. Granville: +101
33. Ashville: +93
34. Plain City: +77
35. Urbancrest: +73
36. Hebron: +73
37. Utica: +64
38. West Jefferson: +57
39. Shawnee Hills: +54
40. Richwood: +52
41. Minverva Park: +46
42. Galena: +45
43. Ostrander: +45
44. New Holland: +35
45. Milford Center: +31
46. Ashley: +31
47. Commercial Point: +29
48. Williamsport: +28
49. Riverlea: +24
50. Kirkersville: +16
51. Valleyview: +16
52. Buckeye Lake: +14
53. Harrisburg: +14
54. Bremen: +12
55. Marble Cliff: +11
56. Amanda: +10
57. Lockbourne: +10
58. Tarlton: +8
59. Magnetic Springs: +8
60. Darbyville: +7
61. Brice: +7
62. Thurston: +6
63. Alexandria: +6
64. Stoutsville: +6
65. Unionville Center: +6
66. Thornville: +6
67. Millersport: +5
68. Orient: +5
69. Sugar Grove: +5
70. Hartford: +5
71. South Solon: +5
72. Somerset: +5
73. Midway: +5
74. Marengo: +4
75. Baltimore: +4
76. Glenford: +4
77. Fulton: +3
78. Gratiot: +3
79. St. Louisville: +3
80. Rushville: +3
81. Chesterville: +2
82. Sparta: +2
83. West Rushville: +1
84. Hemlock: +1
85. Cardington: 0
86. Rendville: 0
87. Pleasantville: -2
88. Edison: -2
89. Carroll: -4
90. New Lexington: -4
91. Mount Gilead: -7
92. New Straitsville: -7
93. Junction City: -9
94. Shawnee: -9
95. Corning: -10
96. Laurelville: -10
97. Murray City: -14
98. Logan: -35
99. Mount Sterling: -37
100. Crooksville: -37

So 86 of the metro’s 100 places have either grown or held steady in population since 2010. That is an increase from 70 places during the 2000s.




Winter 2015-2016 Review

Posted on by
Reply




Winter 2015-2016 Review Columbus, Ohio

The winter of 2015-2016 featured warmer than normal temperatures across the country.

After the double cold and snowy winters between 2013-2015, the winter of 2015-2016 was drastically different. It featured general warm temperatures- including the warmest December ever- and little snowfall overall.

Temperature and snowfall ranking data goes back to the winter of 1878-1879. Snow depth ranking data goes back to 1940.

December-February Only
Average High: 44.0 8th Warmest
Average Low: 27.5 14th Warmest
Mean: 35.8 12th Warmest
Precipitation: 9.29″ 37th Wettest
Snowfall: 14.5″ 44th Least Snowy
Average Daily Snow Depth: 0.3″ 4th Lowest
Largest Snowstorm: 2.4″ on January 12th
32 or Below Highs: 21 15th Fewest
32 or Below Lows: 61 9th Fewest
Measurable Precipitation Days: 34 10th Fewest
Measurable Snowfall Days: 14 10th Fewest
Deepest Snow Depth: 3″ on February 16th
Days with 1″+ Snow Depth: 14 11th Fewest

Entire Cold Season: October-April
Average High: 53.7 3rd Warmest
Average Low: 35.3 10th Warmest
Mean: 44.5 5th Warmest
Precipitation: 20.92″ 48th Wettest
Snowfall: 17.1″ 36th Least Snowy
Average Snow Depth: 0.1″ 2nd Lowest
Largest Snowstorm: 2.4″ on January 12th
32 or Below Highs: 21 11th Fewest
32 or Below Lows: 87 7th Fewest
Measurable Precipitation Days: 82 17th Fewest
Measurable Snowfall Days: 17 8th Fewest
Deepest Snow Depth: 3″ on February 16th
Days with 1″+ Snow Depth: 15 8th Fewest

Average High By Month
October 2015: 65.4 45th Warmest
November 2015: 57.7 7th Warmest
December 2015: 52.5 1st Warmest
January 2016: 36.7 56th Warmest
February 2016: 42.9 26th Warmest
March 2016: 57.8 8th Warmest
April 2016: 62.5 41st Warmest

Average Low By Month
October 2015: 45.7 34th Warmest
November 2015: 39.5 6th Warmest
December 2015: 36.9 1st Warmest
January 2016: 20.1 44th Coldest
February 2016: 25.4 39th Warmest
March 2016: 39.1 7th Warmest
April 2016: 40.4 28th Coldest

Mean By Month
October 2015: 55.5 37th Warmest
November 2015: 48.6 5th Warmest
December 2015: 44.7 1st Warmest
January 2016: 28.4 45th Coldest
February 2016: 34.2 34th Warmest
March 2016: 48.5 7th Warmest
April 2016: 51.4 42nd Coldest

Precipitation By Month
October 2015: 2.68″ 44th Wettest
November 2015: 2.37″ 57th Driest
December 2015: 4.88″ 8th Wettest
January 2016: 1.12″ 9th Driest
February 2016: 3.29″ 31st Wettest
March 2016: 4.27″ 36th Wettest
April 2016: 2.31″ 35th Driest

Snowfall By Month
October 2015: 0″ 1st Least Snowy
November 2015: Trace 2nd Least Snowy
December 2015: Trace 2nd Least Snowy
January 2016: 5.4″ 39th Least Snowy
February 2016: 9.1″ 29th Snowiest
March 2016: 2.3″ 22nd Least Snowy
April 2016: 0.3″ 5th Least Snowy

Average Snow Depth By Month
October 2015: 0″
November 2015: 0″
December 2015: 0″
January 2016: 0.2″
February 2016: 0.8″
March 2016: 0.1″
April 2016: 0″



Maximum High By Month
October 2015: 79 on the 6th and 8th
November 2015: 75 on the 3rd and 5th
December 2015: 68 on the 12th
January 2016: 60 on the 31st
February 2016: 68 on the 20th
March 2016: 75 on the 27th
April 2016: 81 on the 18th

Maximum High Records
-The 68 on December 12th was a record for the date, beating the old record of 65 set in 1949.
-The 65 on December 14th tied the record for the date set in 1901 and 1995.
-The 65 on December 23rd was a record for the date, beating the old record of 62 set in 1933.
-The 68 on February 20th tied the record for the date set in 1891.
-The 65 on February 28th tied the record for the date set in 1896, 1939 and 1955.

Minimum High By Month
October 2015: 49 on the 17th and 30th
November 2015: 37 on the 22nd
December 2015: 33 on the 19th
January 2016: 13 on the 18th
February 2016: 16 on the 13th
March 2016: 33 on the 2nd
April 2016: 36 on the 9th

Maximum Low By Month
October 2015: 57 on the 24th
November 2015: 59 on the 5th
December 2015: 56 on the 12th
January 2016: 49 on the 31st
February 2016: 44 on the 20th
March 2016: 56 on the 14th
April 2016: 59 on the 21st

Maximum Low Records
-The 57 on November 18th was a record for the date, beating the old record of 56 set in 1921.
-The 47 on December 22nd was a record for the date, beating the old record of 46 set in 1931.
-The 51 on December 23rd tied the record for the date set in 1941.
-The 49 on December 31st tied the record for the date set in 1988.

Minimum Low By Month
October 2015: 28 on the 18th
November 2015: 21 on the 23rd
December 2015: 21 on the 20th
January 2016: 2 on the 13th
February 2016: 2 on the 14th
March 2016: 22 on the 2nd and 3rd
April 2016: 23 on the 5th

Highest Daily Precipitation By Month
October 2015: 1.25″ on the 28th
November 2015: 0.55″ on the 28th
December 2015: 1.19″ on the 27th
January 2016: 0.47″ on the 10th
February 2016: 1.22″ on the 24th
March 2016: 0.98″ on the 10th
April 2016: 1.05″ on the 11th

Precipitation Records
-The 1.25″ on October 28th was a record for the date, beating the old record of 1.10″ set in 1883.
-The 1.19″ on December 27th was a record for the date, beating the old record of 0.90″ set in 1968.

Highest Daily Snowfall By Month
October 2015: 0.0″
November 2015: Trace on the 22nd
December 2015: Trace on the 3rd, 18th and 31st
January 2016: 2.4″ on the 12th
February 2016: 1.9″ on the 16th
March 2016: 1.5″ on the 4th
April 2016: 0.3″ on the 9th

Deepest Snow Depth By Month
October 2015: 0″
November 2015: 0″
December 2015: 0″
January 2016: 2″ on the 13th and 14th
February 2016: 3″ on the 16th
March 2016: 2″ on the 4th
April 2016: 0″

For more winter records and local weather information, visit the following links.
Winter Season Records
Wilmington National Weather Service

Other Winter Season Reviews
Winter 2014-2015



Cool Link of the Day: Urb-I Urban Ideas

Posted on by
Reply

I saw this site mentioned on the CityLab site awhile back and thought it was a very cool idea. The site highlights how cities are transforming public spaces and making car-centric areas much more pedestrian, bike and transit friendly. Since I found the site, I have been lucky enough to become a regular contributor working to help make the site even better. The great thing is that anyone can send in before and after photos from their own cities of public space transformations. Take a look: http://www.urb-i.com/ The site covers cities across the world.

Columbus has several examples that I have added, but the photos are not yet updated on the site’s map. Until they are, here is a sneak peek:

Civic Center Drive
Urb-I Urban Ideas

West Town Street

Columbus Commons



2015 Metro Area Population Estimates and Peer Comparison

Posted on by
Reply




As promised, here are the 2015 metro area population estimates for Columbus and its regional and national peers.

2015 Metro Population Estimates
Chicago, IL: 9,551,031
Detroit, MI: 4,302,043
Minneapolis, MN: 3,524,583
St. Louis, MO: 2,811,588
Charlotte, NC: 2,426,363
Portland, OR: 2,389,228
Orlando, FL: 2,387,138
San Antonio, TX: 2,384,075
Pittsburgh, PA: 2,353,045
Sacramento, CA: 2,274,194
Cincinnati: 2,157,719
Las Vegas, NV: 2,114,801
Kansas City, MO: 2,087,471
Cleveland: 2,060,810
Columbus: 2,021,632
Austin, TX: 2,000,860
Indianapolis: 1,988,817
San Jose, CA: 1,976,836
Nashville, TN: 1,830,345
Virginia Beach, VA: 1,724,876
Providence, RI: 1,613,070
Milwaukee, WI: 1,575,747
Grand Rapids, MI: 1,038,583
Omaha, NE: 915,312
Dayton: 800,909
Akron: 704,243
Toledo: 605,956
Youngstown: 549,885
2015 metro area population estimates

Components of Metro Area Population Change



As you can see, while Columbus has a middle of the road birth rate for its peers, its relatively low death rate means that it manages to be near the top of the its peer group in natural growth.




It seems that while international migration is competitive with peers in the Columbus metro, domestic migration would need to improve to truly be at the upper peer level. At the very least, it is positive.

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




2015 County Population Estimates Report

Posted on by
Reply




The US Census has released its population estimates for both counties and metros for the year ending July 1, 2015. Here is a detailed look at Ohio’s counties in this 2015 county population estimates report.

Ohio’s Top 25 Largest Counties
2010……………………………….2014………………………………..2015
1. Cuyahoga: 1,280,109….1. Cuyahoga: 1,263,796……1. Cuyahoga: 1,255,921
2. Franklin: 1,163,545……..2. Franklin: 1,234,126………2. Franklin: 1,251,722
3. Hamilton: 802,270……….3. Hamilton: 806,332……….3. Hamilton: 807,598
4. Summit: 541,671………..4. Summit: 542,600………….4. Summit: 541,968
5. Montgomery: 536,216….5. Montgomery: 532,515…..5. Montgomery: 532,258
6. Lucas: 441,575…………..6. Lucas: 434,615…………….6. Lucas: 433,689
7. Stark: 375,461…………….7. Stark: 375,638…………….7. Butler: 376,353
8. Butler: 369,064…………..8. Butler: 373,948…………….8. Stark: 375,165
9. Lorain: 301,471…………..9. Lorain: 304,187……………9. Lorain:305,147
10. Mahoning: 238,398……10. Mahoning: 233,398…….10. Mahoning: 231,900
11. Lake: 230,004…………..11. Lake: 229,220……………11. Lake: 229,245
12. Warren: 213,524………..12. Warren: 221,816………..12. Warren: 224,469
13. Trumbull: 209,854………13. Trumbull: 205,255……..13. Trumbull: 203,751
14. Clermont: 197,795……..14. Clermont: 201,375……..14. Clermont: 201,973
15. Delaware: 175,146……..15. Delaware: 189,237…….15. Delaware: 193,0134
16. Medina: 172,542………..16. Medina: 175,963………..16. Medina: 176,395
17. Licking: 166,480…………17. Licking: 169,407………..17. Licking: 170,570
18. Greene: 161,608………..18. Greene: 164,660………..18. Greene: 164,427
19. Portage: 161,448……….19. Portage: 162,235………..19. Porage: 162,275
20. Fairfield: 146,385……….20. Fairfield: 150,432………..20. Fairfield: 151,408
21. Clark: 148,246…………..21. Clark: 136,482……………21. Clark: 135,959
22. Wood: 125,940………….22. Wood: 129,575…………..22. Wood: 129,730
23. Richland: 124,173……..23. Richland: 121,914……….23. Richland: 121,707
24. Wayne: 114,439………..24. Wayne: 115,572………….24. Wayne: 116,063
25. Columbiana: 107,863…25. Columbiana: 105,597…..25. Columbiana: 104,806

From the numbers above, Columbus’ Franklin County was just below Cuyahoga last year. It is likely that, given each county’s growth rates, Franklin has now passed up Cuyahoga to become Ohio’s most populated county.

Top 25 Total Growth Counties 2010-2015
1. Franklin: +88,177
2. Delaware: +18,824
3. Warren: +11,601
4. Butler: +8,223
5. Fairfield: +5,256
6. Hamilton: +5,224
7. Clermont: +4,610
8. Wood: +4,242
9. Licking: +4,090
10. Medina: +4,062
11. Lorain: +3,791
12. Greene: +2,858
13. Union: +2,010
14. Miami: +1,718
15. Wayne: +1,549
16. Holmes: +1,543
17. Pickaway: +1,300
18. Athens: +1,113
19. Portage: +854
20. Hancock: +791
21. Geauga: +692
22. Madison: +664
23. Tuscarawas: +334
24. Morrow: +247
25. Muskingum: +216
2015 county population estimates report

Components of County Population Change

Top 25 Counties for Natural Growth (Births vs. Deaths) 2010-2015
1. Franklin: +50,736
2. Hamilton: +17,256
3. Butler: +7,785
4. Cuyahoga: +7,409
5. Lucas: +7,053
6. Delaware: +6,260
7. Montgomery: +5,007
8. Warren: +4,688
9. Clermont: +3,987
10. Summit: +3,194
11. Fairfield: +2,676
12. Lorain: +2,630
13. Holmes: +2,613
14. Wayne: +2,554
15. Licking: +2,482
16. Greene: +2,309
17. Medina: +2,040
18. Wood: +1,824
19. Union: +1,475
20. Hancock: +1,196
21. Allen: +1,115
22. Shelby: +1,038
23. Miami: +902
24. Putnam: +849
25. Huron: +815

Franklin County’s natural growth rate destroys every other county in the state. It gains almost 7x that of Cuyahoga County, despite Cuyahoga having a larger population during this period, and nearly 3x that of Hamilton County.

Top 25 Counties for Domestic Migration 2010-2015
1. Franklin: +11,715
2. Delaware: +10,532
3. Warren: +4,496
4. Fairfield: +1,691
5. Licking: +1,249
6. Medina: +1,234
7. Wood: +1,120
8. Pickaway: +711
9. Miami: +475
10. Union: +249
11. Madison: +246
12. Ottawa: +5
13. Clermont: -39
14. Morrow: -159
15. Morgan: -162
16. Monroe: -167
17. Washington: -177
18. Harrison: -198
19. Belmont: -221
20. Geauga: -320
21. Vinton: -361
22. Meigs: -401
23. Noble: -421
24. Van Wert: -431
25. Perry: -464

Again, Franklin County leads the pack, with Columbus metro counties performing the best statewide, as shown in the map below.

Top 25 Counties for International Migration 2010-2015
1. Franklin: +26,977
2. Cuyahoga: +16,926
3. Hamilton: +9,016
4. Montgomery: +5,380
5. Summit: +5,307
6. Butler: +4,066
7. Greene: +2,400
8. Lorain: +2,303
9. Warren: +2,198
10. Lucas: +2,194
11. Portage: +1,991
12. Delaware: +1,610
13. Athens: +1,586
14. Mahoning: +1,383
15. Wood: +1,026
16. Stark: +881
17. Lake: +729
18. Fairfield: +658
19. Clermont: +612
20. Medina: +578
21. Tuscarawas: +468
22. Wayne: +408
23. Licking: +404
24. Allen: +375
25. Miami: +359

Most Ohio counties saw increases in international migration, but once again, none came close to Franklin County’s total.

So there you have it, the updated numbers for Ohio’s counties.