The Origins of the Columbus Metro’s Domestic Migration




Top 30 Largest Net Domestic In-Migration Origins (Ohio Counties and States)

Numbers are based on estimates. Updated 1/24/2018 with 2011-2015 data.

2006-2010————————2009-2013—————————-2011-2015
1. Cuyahoga: 1602———-1. Cuyahoga: 1905————–1. Cuyahoga: 1842
2. Montgomery: 1020——-2. Michigan: 1425—————-2. Michigan: 1239
3. Michigan: 893————-3. Montgomery: 1123————3. Montgomery: 1088
4. Maryland: 745————-4. Summit: 744——————–4. Summit: 764
5. Lorain: 740—————–5. Lorain: 715———————-5. Lucas: 626
6. Virginia: 636—————6. Indiana: 694———————6. New Jersey: 608
7. Mahoning: 603————7. Lucas: 569———————–7. New York: 575
8. Stark: 584——————8. Maryland: 512——————-8. Medina: 572
9. Lucas: 554—————–9. Hamilton: 504——————–9. Stark: 484
10. Summit: 531————-10. Clermont: 466—————–10. Trumbull: 465
11. Highland: 499———–11. Stark: 466———————–11. Maryland: 464
12. New Jersey: 497——-12. Arizona: 463——————–12. Allen: 406
13. Hamilton: 483———–13. Alabama: 431——————-13. Washington (state): 399
14. New York: 419———-14. Trumbull: 401——————-14. Erie: 386
15. Allen: 384—————-15. Mahoning: 387——————15. Indiana: 386
16. Tennessee: 375——–16. Fayette: 354———————16. Massachusetts: 384
17. Logan: 328—————17. Washington (state): 353—–17. Pennsylvania: 371
18. Trumbull: 325————18. Coshocton: 346—————-18. Kentucky: 368
19. Coshocton: 310———19. Medina: 322——————–19. W. Virginia: 339
20. Jefferson: 290———–20. Allen: 302————————20. Lake: 316
21. Scioto: 259—————21. Erie: 290————————-21. Belmont: 314
22. Belmont: 254————22. Highland: 270——————-22. Wayne: 298
23. Huron: 245—————23. Puerto Rico: 265—————23. Fayette: 290
24. Darke: 217—————24. Adams: 260———————24. Mahoning: 289
25. Lake: 212—————-25. Warren: 260———————25. New Hampshire: 288
26. Tuscarawas: 202——-26. Massachusetts: 259———-26. Alaska: 282
27. Iowa: 200—————–27. Wayne: 259———————27. Alabama: 280
28. Shelby: 199————–28. Morgan: 255——————–28. Lorain: 277
29. Medina: 196————-29. Tuscarawas: 253————–29. Tuscarawas: 277
30. Massachusetts: 192—30. Ashtabula: 244—————–30. Geauga: 261

Top 30 Largest Net Domestic Out-Migration Destinations (Ohio counties and States)

2006-2010——————————-2009-2013—————————-2011-2015
1. Texas: -1371———————-1. Georgia: -1024—————-1. Florida: -1333
2. Knox: -942————————-2. Florida: -1013——————2. Missouri: -703
3. North Carolina: -782————3. Greene: -524——————-3. Georgia: -680
4. Georgia: -718———————4. Missouri: -516——————4. Athens: -607
5. Athens: -679———————-5. Colorado: -448—————–5. Knox: -506
6. Kentucky: -516——————-6. California: -436—————–6. Tennessee: -442
7. South Carolina: -499———–7. South Carolina: -431———-7. Colorado: -435
8. California: -364——————-8. Knox: -418———————-8. California: -391
9. Florida: -360———————-9. North Carolina: -417———-9. Greene: -388
10. Wood: -351———————10. Wisconsin: -395————–10. South Carolina: -362
11. Richland: -344——————11. Athens: -336——————11. Marion: -329
12. Greene: -239——————–12. Minnesota: -308————-12. Hamilton: -312
13. West Virginia: -236————13. Utah: -290———————13. Logan: -306
14. Missouri: -219——————-14. Richland: -266—————14. Utah: -300
15. Crawford: -209——————15. Portage: -265—————–15. Wood: -282
16. Hardin: -179———————16. Kentucky: -257—————16. Scioto: -249
17. Noble: -177———————-17. Logan: -242——————-17. Seneca: -183
18. Muskingum: -175—————18. Pennsylvania: -242———18. Champaign: -174
19. Butler: -173———————-19. Tennessee: -200————19. Oregon: -158
20. Holmes: -163——————–20. Oregon: -187—————-20. New Mexico: -157
21. Marion: -138———————21. Wood: -166——————21. Meigs: -150
22. Portage: -134——————-22. Sandusky: -157————–22. Mississippi: -146
23. Ottawa: -131——————–23. Mississippi: -151————-23. Portage: -142
24. Sandusky: -124—————-24. Jefferson: -127—————24. Idaho: -137
25. Oregon: -120——————-25. Kansas: -98——————-25. Minnesota: -125
26. Indiana: -116——————-26. Delaware (state): -88——-26. North Dakota: -112
27. Idaho: -115———————27. Idaho: -74———————-27. Wisconsin: -111
28. Utah: -103———————- 28. Crawford: -73—————–28. Darke: -103
29. Fayette: -93———————29. Hardin: -68——————–29. Texas: -95
30. Kansas: -90———————30. Seneca: -66——————-30. Hardin: -87

Top 25 Largest Positive Swings Between 2006-2010 and 2011-2015
1. Texas: +1276
2. North Carolina: +982
3. Kentucky: +884
4. West Virginia: +575
5. Indiana: +502
6. Washington (state): +466
7. Knox: +436
8. Richland: +406
9. Butler: +395
10. Fayette: +383
11. Medina: +376
12. Alaska: +364
13. Michigan: +346
14. Alabama: +298
15. Clinton: +282
16. Erie: +263
17. New Hampshire: +261
18. Lawrence: +241
19. Cuyahoga: +240
20. Summit: +233
21. Wayne: +226
22. Crawford: +221
23. Muskingum: +211
24. Clermont: +198
25. Nevada: +197

Top 25 Largest Negative Swings Between 2006-2010 and 2011-2015
1. Florida: -973
2. Tennessee: -817
3. Hamilton: -795
4. Logan: -634
5. Colorado: -598
6. Scioto: -508
7. Highland: -491
8. Missouri: -484
9. Lorain: -463
10. Virginia: -437
11. Darke: -320
12. Mahoning: -314
13. Champaign: -310
14. Jefferson: -301
15. Maryland: -281
16. New Mexico: -261
17. Minnesota: -249
19. Coshocton: -233
20. Washington (county): -208
21. Ashland: -202
22. Utah: -197
23. Marion: -191
24. Seneca: -181
25. Iowa: -158

Total Counts By Period
Positive Ohio Counties
2006-2010: 53
2009-2013: 57
2011-2015: 50

Positive States, including DC and Puerto Rico
2006-2010: 21
2009-2013: 24
2011-2015: 28

Total Net In-Migration
Ohio
2006-2010: +8,008
2009-2013: +11,366
2011-2015: +7,895

Outside Ohio
2006-2010: -1,158
2009-2013: -466
2011-2015: +1,598

Ohio and Outside Ohio
2006-2010: +6,850
2009-2013: +10,900
2011-2015: +9,493

All these figures show that the Columbus metro has net positive domestic migration. While the majority of that comes from within the state, Columbus’ previously negative net total from outside the state has more recently become positive as well. For a long time, Columbus’ relative success was not well-known outside of the state, but perhaps word is finally getting out.

For a lot more Columbus demographic information, check out: Columbus Demographics




Columbus’ Christmas Day Climatology




*Find more December records in the December Weather page.

Normals 1981-2010
High: 38
Low: 25
Mean: 31.5
Precipitation: 0.10″
Snowfall: 0.2″

1878-2016 Averages
High: 36
Low: 24
Mean: 30
Precipitation: 0.11″
Snowfall: 0.1″

Top 10 Coldest Highs
1. 1983: 1
2. 1878: 10
3. 1924: 11
4. 1980: 15
5. 1902: 16
6. 1985: 17
7. 1884, 2000: 19
8. 1899, 1906, 1914:20
9. 1950, 1968: 22
10. 1935, 1969, 2001: 23

Top 10 Coldest Lows
1. 1983: -12
2. 1980: -5
3. 1935: -4
4. 1924: -3
5. 1878: -2
6. 2004: -1
7. 1985: 1
8. 2000: 2
9. 1884: 4
10. 1914, 1999: 7

Top 10 Warmest Highs
1. 1893: 64
2. 1982: 63
3. 1932, 1940: 62
4. 1889: 60
5. 1964: 58
6. 1895, 1955: 57
7. 1891: 55
8. 1936, 2015: 53
9. 1888, 1915, 1987: 52
10. 1965, 1973: 51

Top 10 Warmest Lows
1. 1889, 1982: 55
2. 1895: 52
3. 1893: 49
4. 1891: 45
5. 2015: 43
6. 1932, 1940: 40
7. 1888, 1964, 1973: 39
8. 1987: 38
9. 1922, 1941, 2009, 2016: 37
10. 1936, 1972: 36

Number of Days with the High Temperature
Less than 10: 1
10-19: 7
20-29: 24
30-39: 54
40-49: 36
50-59: 12
60 or Higher: 5

Number of Days with the Low Temperature
Less than 0: 6
0-9: 7
10-19: 35
20-29: 46
30-39: 37
40-49: 5
50 or Higher: 3

Top 10 Wettest
1. 2009: 0.79″
2. 1944: 0.77″
3. 1926: 0.69″
4. 1951: 0.58″
5. 2006: 0.57″
6. 1945: 0.54″
7. 1957: 0.52″
8. 1987, 2005: 0.51″
9. 1915: 0.48″
10. 1909: 0.47″

Number of Days with Precipitation
0.00″: 44
Trace: 26
0.01″-0.24″: 54
0.25″-0.49″: 6
0.50″-0.74″: 7
0.75″-0.99″: 2
1.00″ or More: 0

Top 10 Snowiest
1. 1890: 7.0″
2. 1909: 5.7″
3. 1950: 3.0″
4. 1917: 2.5″
5. 1969: 2.3″
6. 1884: 2.2″
7. 1976: 1.9″
8. 1880: 1.8″
9. 1935: 1.3″
10. 1944: 1.2″

Most Snow on the Ground (Since 1947)
1. 1960: 9″
2. 1961, 1963, 1989, 1995: 4″
3. 1969, 1980, 2004: 3″

Number of Days with Snowfall
0.0″: 73
Trace: 22
0.1″-0.4″: 19
0.5″-0.9″: 9
1″-2.9″: 7
3″ or More: 3

More December weather records can be found at: December Weather
For more general Columbus weather records, go here: Columbus All-Time Weather




Where Racial Groups are Growing Fastest in Franklin County




The US Census recently released updated estimates for 2016 for smaller-area designations like tracts and blocks. Looking at them, I wanted to see where individual racial groups were growing the fastest at that level.
The first map is based on the % change from 2010 to 2016.

What’s interesting about this map is that it is such a hodgepodge. No single part of the county is dominated by growth in any specific racial group. However, a few things can be generally determined. For example, almost all of the tracts where the White population is growing the fastest are within I-270, and the majority of those within the eastern half of the Columbus in what have long been dominated by Black majority populations. These areas include parts of Linden, the Near South and Near East sides. That said, the White population was growing the fastest in just 30 census tracts by % change. This compared to 53 for the Black population, 83 for the Asian population and 107 for the Hispanic population.

The next map takes a slightly different approach, measuring the TOTAL change in population, rather than by %.

Again, a hodgepodge, but much less so than before. Instead of being the fastest-growing in just 30 tracts, the White population rockets up to 108 tracts. This shows that, while Asian and Hispanic populations have respectable % growth, this is largely based on comparatively small population bases. Still, non-White populations are clearly making inroads throughout Franklin County.

For more information on demographics, go to: Columbus Demographics
And for Franklin County racial and economic maps, go to: Census Tract and Zip Code Maps




Thanksgiving Day Historic Weather and Climatology




*Updated through 2016.

Normals *1981-2010
High: 48
Low: 33
Mean: 40.5
Precipitation: 0.11″
Snowfall: 0.1″

Top 10 Coldest Highs
1. 1930: 12
2. 1936: 26
3. 1880, 1903, 1905: 27
4. 1938: 28
5. 1892, 1898: 29
6. 1881: 30
7. 1945, 2002, 2013: 32
8. 1886, 1889, 1890, 1929, 1958: 33
9. 1882, 1885, 1901, 2014: 34
10. 1912, 1947, 1956, 1982, 2000: 35

Top 10 Coldest Lows
1. 1930: 3
2. 1930, 2005: 15
3. 1929, 1984: 16
4. 2000: 17
5. 1880, 1881, 1892, 1894, 1958: 18
6. 1901, 1905, 2002: 19
7. 1898, 1936, 1938, 1950, 1982, 1989, 1996: 20
8. 1911, 1956, 2013: 21
9. 1882, 1886, 1912, 1945: 22
10. 1994, 2008: 23

Top 10 Warmest Highs
1. 1896: 70
2. 2015: 65
3. 1915, 1940: 64
4. 1879, 1908, 1981, 2007, 2012: 63
5. 1966, 1968, 1973, 1979: 62
6. 1918, 1941: 61
7. 1914, 1927, 1983: 60
8. 1933: 59
9. 1899, 1957: 58
10. 1921, 1943, 1990, 2010: 57

Top 10 Warmest Lows
1. 1979: 53
2. 1896: 52
3. 1940: 51
4. 1957: 49
5. 1879: 48
6. 1934, 1966, 2015: 47
7. 1968: 46
8. 1913, 1933, 1978, 1990, 2003, 2016: 43
9. 1899, 1927, 1961: 42
10. 1908, 1951, 1987, 1991, 1998: 41

Top 10 Wettest
1. 2010: 1.76″
2. 1961: 1.58″
3. 1968: 1.22″
4. 1990: 0.71″
5. 1921, 1925: 0.70″
6. 1926: 0.69″
7. 1980: 0.65″
8. 1887: 0.60″
9. 1957: 0.59″
10. 1951: 0.49″

Top 10 Snowiest
1. 1880: 3.2″
2. 1950: 1.1″
3. 1938: 0.8″
4. 1959: 0.7″
5. 1889: 0.4″
6. 1945, 1957: 0.3″
7. 1890, 1954, 2005: 0.2″
8. 1953, 2004: 0.1″
9. Multiple: Trace
10. Multiple: 0


Most Snow on the Ground

1959: 1″
2013: 1″
Trace: Multiple

For more November weather records, go here: November Weather
For more general Columbus weather records, go here: Columbus All-Time Weather




Young Professionals: A Comparison

**Updated 11/22/2017.

Millennials and Young Professionals are big news these days. Millennials are the largest generation ever in terms of total numbers (exceeding 76 million), and their choices are already having big impacts on everything from housing to the economy, and Young Professionals have long been an important urban demographic. I wanted to look at Columbus and its peers to see where it ranks in terms of attracting the 25-34 age group that include these demographics.

For the comparison, I looked at metro areas of 1.5-2.5 million as well as major Midwest metros and then used their core cities to get the numbers.

Rank of Total Population Aged 25-34

2005_______________________2010___________________2016

1. Chicago: 463,236_______1. Chicago: 510,042________1. Chicago: 532,349
2. San Antonio: 180,981_____2. San Antonio: 200,645____2. San Antonio: 241,783
3. Austin: 137,523_________3. Austin: 162,247_________3. Austin: 214,687
4. San Jose, CA: 133,144___4. Columbus: 147,584______4. Columbus: 180,685
5. Columbus: 131,641______5. San Jose, CA: 142,551___5. San Jose, CA: 165,408
6. Indianapolis: 114,532_____6. Indianapolis: 133,088____6. Charlotte, NC: 149,024
7. Detroit: 110,759_________7. Charlotte, NC: 127,539___7. Indianapolis: 143,328
8. Charlotte, NC: 100,025____8. Portland, OR: 113,210___8. Nashville: 130,593
9. Portland, OR: 90,023_____9. Nashville: 110,882______9. Portland: 127,557
10. Las Vegas: 84,418______10. Milwaukee: 97,359____10. Milwaukee: 101,449
11. Milwaukee: 82,060______11. Detroit: 85,023_______11. Detroit: 101,246
12. Sacramento, CA: 75,497___12. Minneapolis: 81,532__12. Sacramento: 92,883
13. Minneapolis: 74,208___13. Las Vegas: 81,212______13. Minneapolis: 90,022
14. Kansas City, MO: 68,060__14. Sacramento: 78,527__14. Las Vegas: 84,756
15. Virginia Beach: 60,749__15. Kansas City: 73,872____15. Kansas City: 81,532
16. Omaha, NE: 56,248____16. Virginia Beach: 67,614__16. Virginia Beach: 75,365
17. Wichita, KS: 52,426____17. Omaha: 62,396________17. Omaha: 72,055
18. Cleveland: 50,558_____18. St. Louis: 57,627_______18. Orlando: 63,947
19. St. Louis: 48,137______19. Wichita: 56,737________19. Pittsburgh: 62,515
20. Cincinnati: 44,945_____20. Cleveland: 54,428______20. St. Louis: 61,777
21. Toledo: 43,134_______21. Pittsburgh: 51,109______21. Cleveland: 58,773
22. Orlando: 40,846______22. St. Paul: 50,107________22. Wichita: 57,869
23. St. Paul, MN: 39,676__23. Cincinnati: 49,067_______23. St. Paul: 55,306
24. Lincoln, NE: 38,893___24. Orlando: 48,102________24. Cincinnati: 54,754
25. Madison, WI: 38,826___25. Madison: 44,662_______25. Madison: 48,759
26. Pittsburgh: 38,744____26. Lincoln: 42,034_________26. Lincoln: 43,882
27. Grand Rapids: 35,287__27. Toledo: 41,580________27: Toledo: 42,888
28. Des Moines: 32,640__28. Fort Wayne: 35,193______28. Grand Rapids: 39,829
29. Fort Wayne, IN: 31,738__29. Providence: 31,044____29. Fort Wayne: 37,372
30. Akron: 30,436_______30. Grand Rapids: 30,963____30. Des Moines: 34,961
31. Providence, RI: 29,307__31. Des Moines: 30,376____31. Providence: 30,630
32. Dayton: 18,591_______32. Akron: 27,446_________32. Akron: 29,786
33. Youngstown: 8,505____33. Dayton: 20,278________33. Dayton: 22,930
34. Nashville, TN: N/A___34. Youngtown: 8,484_______34. Youngstown: 7,621

So Columbus ranks highly among total population in the 25-34 age group. But what about growth?

Total Growth Rank in 25-34 Population 2005-2016

1. Austin, TX: 77,164
2. Chicago: 69,113
3. San Antonio, TX: 60,802
4. Columbus: 49,044
5. Charlotte, NC: 48,999
6. Portland, OR: 37,534
7. San Jose, CA: 32,264
8. Indianapolis, IN: 28,796
9. Pittsburgh, PA: 23,771
10. Orlando, FL: 23,101
11. Milwaukee, WI: 19,389
12. Sacramento, CA: 17,386
13. Minneapolis, MN: 15,814
14. Omaha, NE: 15,807
15. St. Paul, MN: 15,630
16. Virginia Beach, VA: 14,616
17. St. Louis, MO: 13,642
18. Kansas City, MO: 13,472
19. Madison, WI: 9,933
20. Cincinnati: 9,809
21. Cleveland: 8,215
22. Fort Wayne, IN: 5,634
23. Wichita, KS: 5,443
24. Lincoln, NE: 4,989
25. Grand Rapids, MI: 4,542
26. Dayton: 4,339
27. Des Moines, IA: 2,321
28. Providence, RI: 1,323
29. Las Vegas, NV: 338
30. Toledo: -246
31. Akron: -650
32. Youngstown: -884
33. Detroit, MI: -9,513
34. Nashville: N/A

Again, Columbus ranks near the top during this period. What about more recently, since 2010?

Total Growth Rank of 25-34 Population 2010-2016

1. Austin: 52,440
2. San Antonio: 41,138
3. Columbus: 33,101
4. San Jose: 22,857
5. Chicago: 22,307
6. Charlotte: 21,485
7. Nashville: 19,711
8. Detroit: 16,223
9. Orlando: 15,845
10. Sacramento: 14,356
11. Portland: 14,347
12. Pittsburgh: 11,406
13. Indianapolis: 10,240
14. Omaha: 9,659
15. Grand Rapids: 8,866
16. Minneapolis: 8,490
17. Virginia Beach: 7,751
18. Kansas City: 7,660
19. Cincinnati: 5,687
20. St. Paul: 5,199
21. Des Moines: 4,585
22. Cleveland: 4,345
23. St. Louis: 4,152
24. Madison: 4,097
25. Milwaukee: 4,090
26. Las Vegas: 3,544
27. Dayton: 2,652
28. Akron: 2,340
29. Fort Wayne: 2,179
30. Lincoln: 1,848
31. Toledo: 1,308
32. Wichita: 1,132
33. Providence: -414
34. Youngstown: -863

So Columbus is also doing well since 2010 and attracts significantly more people in the 25-34 age group than cities often cited for this very metric.

Finally, now that we know the totals and the growth, what is the % of total city population that the 25-34 age group makes up?

25-34 % of Total City Population 2016

1. Orlando: 23.1%
2. Austin: 22.6%
3. Minneapolis: 21.8%
4. Columbus: 20.9%
5. Pittsburgh: 20.6%
6. Grand Rapids: 20.3%
7. Portland: 19.9%
8. Nashville: 19.8%
9. St. Louis: 19.8%
10. Chicago: 19.7%
11. Madison: 19.3%
12. Sacramento: 18.8%
13. Cincinnati: 18.3%
14. St. Paul: 18.3%
15. Charlotte: 17.7%
16. Providence: 17.1%
17. Milwaukee: 17.0%
18. Kansas City: 16.9%
19. Indianapolis: 16.8%
20. Virginia Beach: 16.7%
21. Des Moines: 16.2%
22. San Antonio: 16.2%
23. Omaha: 16.1%
24. San Jose: 16.1%
25. Lincoln: 15.7%
26. Toledo: 15.4%
27. Cleveland: 15.2%
28. Akron: 15.1%
29. Detroit: 15.0%
30. Wichita: 14.8%
31. Fort Wayne: 14.3%
32. Las Vegas: 13.4%
33. Youngstown: 11.9%
34. Dayton: 8.2%

Columbus has an existing large population of the 25-34 age demographic, and looks to be one of the strongest performers into the near future.
Some would ask why that would be considering that Columbus transit is woefully lacking and has a reputation (very undeservedly, in my opinion) of being suburban- characteristics that Millennials/YPers supposedly almost universally reject. Perhaps the bottom line is that economics trump all other desires. Cost of living and employment tend to be higher up the list than rail lines, and Columbus has both a strong economy and relatively low COL. Whatever the case may be, Columbus seems to be doing something right.

For more information on demographics, go to: Columbus Demographics
And for Franklin County racial and economic maps, go to: Census Tract and Zip Code Maps