Young Professionals: A Comparison Part 1



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. All data comes from the US Census.

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. Youngstown: 8,484_______34. Youngstown: 7,621

So Columbus ranks highly among total young professionals 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 young professional 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.

The Demographics and Population page offers many other types of data about Columbus’ population.



Domestic Migration by State Report



domestic migration by state

Over the last few decades, much attention has been given to the fact that domestic migration by state has heavily favored the “Sun Belt”, states made up of the Southeast west to the West Coast. While Northern states weren’t all losing people, the region as a whole sent far more people to the Sun Belt than they retained. This helped fuel the respective Southern boom, and media story after media story over the years have made sweeping predictions of this growing powerhouse region, often centered around the idea that the boom had no foreseeable end. The irony with these predictions is that they ignored history. For more than 2 centuries, the North was where people moved. Its states and cities saw massive influxes of population. As recently as the decade of the 1950s, Ohio grew by nearly 2 million alone. Economic conditions in decline, job losses, particularly in the manufacturing industry, increases in the cost of living and other factors ended the boom and helped to bring about the rise of the South, so to speak. Since at least the 1960s, the story has been about the Sun Belt/West.

The Censusdoes state migration estimates every year, and there are some interesting things going on in the data that may indicate that the boom in the South is faltering while the North’s fortunes are not looking as grim as they once did.

First, what are the regions?
South: Alabama, Arkansas, Florida, Georgia, Kentucky, Louisiana, Mississippi, North Carolina, Oklahoma, South Carolina, Tennessee, Texas, Virginia and West Virginia.
North: Connecticut, Delaware, Washington D.C., Illinois, Indiana, Iowa, Kansas, Maine, Maryland, Massachusetts, Michigan, Minnesota, Missouri, Nebraska, New Hampshire, New Jersey, New York, North Dakota, Ohio, Pennsylvania, Rhode Island, South Dakota, Vermont and Wisconsin.
West: Alaska, Arizona, California, Colorado, Hawaii, Idaho, Montana, Nevada, New Mexico, Oregon, Utah, Washington and Wyoming.

Let’s next look at the states by rank of domestic migration in 2005, the earliest available year for the state data, and compared it to 2012, the most recent year available. This period covers the period just before and just after the Great Recession.

Domestic Migration Rank, 2005 vs. 2012, by Total
2005___________________________________2012

1. Florida: +188,035_________________________1. Florida: +108,823
2. Arizona: +131,501_________________________2. Texas: +105,565
3. Texas: +124,522__________________________3. Colorado: +43,530
4. Georgia: +88,250________________________4. Washington: +37,187
5. North Carolina: +51,575___________________5. North Carolina: +34,846
6. Tennessee: +43,901______________________6. South Carolina: +34,149
7. Oregon: +43,360_________________________7. Nevada: +25,835
8. Washington: +38,093_____________________8. Arizona: +25,615
9. South Carolina: +32,312___________________9. Georgia: +25,204
10. Arkansas: +30,765______________________10. Missouri: +20,176
11. Nevada: +26,839________________________11. North Dakota: +14,254
12. Idaho: +20,308_________________________12. Tennessee: +13,255
13. Colorado: +16,963______________________13. Virginia: +12,110
14. Oklahoma: +16,372_____________________14. Arkansas: +11,981
15. Alabama: +14,501______________________15. Oregon: +10,742
16. New Mexico: +13,714___________________16. New Hampshire: +10,711
17. Delaware: +12,561______________________17. Delaware: +10,610
18. Virginia: +11,121________________________18. Kentucky: +8,899
19. Kentucky: +7,451______________________19. Mississippi: +6,569
20. Missouri: +6,338______________________20. Oklahoma: +6,402
21. Iowa: +5,406__________________________21. Utah: +5,717
22. Montana: +4,185______________________22. Vermont: +4,375
23. Pennsylvania: +2,868__________________23. South Dakota: +3,578
24. Maine: +2,447_________________________24. Montana: +3,410
25. Hawaii: +2,388________________________25. Idaho: +3,400
26. West Virginia: +998____________________26. Wisconsin: +1,468
27. New Hampshire: +497__________________27. Iowa: +275
28. South Dakota: +360____________________28. Ohio: -105
29. Wyoming: -366________________________29. West Virginia: -300
30. Minnesota: -1,154______________________30. Wyoming: -639
31. Kansas: -2,244_________________________31. Maryland: -2,821
32. North Dakota: -2,553___________________32. Rhode Island: -2,948
33. Wisconsin: -2,756______________________33. Louisiana: -4,741
34. Vermont: -3,580_______________________34. Kansas: -4,850
35. Nebraska: -5,128_______________________35. Nebraska: -5,174
36. Utah: -5,639___________________________36. Hawaii: -6,364
37. Connecticut: -6,536____________________37. Connecticut: -6,712
38. Mississippi: -7,120_____________________38. Washington D.C.: -7,470
39. Indiana: -9,222_________________________39. New Mexico: -9,228
40. Maryland: -9,718_______________________40. Alabama: -9,431
41. Washington D.C.: -12,872________________41. Indiana: -10,460
42. Rhode Island: -15,037___________________42. Maine: -11,025
43. New Jersey: -22,051____________________43. Minnesota: -14,904
44. Alaska: -23,567________________________44. Massachusetts: -15,579
45. Ohio: -40,841__________________________45. Pennsylvania: -21,656
46. Massachusetts: -52,726________________46. Michigan: -41,761
47. Michigan: -53,852______________________47. Alaska: -49,250
48. Illinois: -55,932________________________48. Illinois: -68,356
49. Louisiana: -99,684_____________________49. California: -73,345
50. New York: -239,848____________________50. New Jersey: -89,666
51. California: -266,243_____________________51. New York: -135,149

So in 2005, the breakdown was as follows:
12 of 14 Southern states had positive domestic migration. The only 2 that did not, Louisiana and Mississippi, were heavily influenced in 2005 by Hurricane Katrina, which caused large numbers of displaced residents to leave the states entirely.
7 of 24 Northern states has positive domestic migration. The 7 states were mixed between the Midwest and the Northeast/Mid-Atlantic. Just one Great Lakes State had positive domestic migration in 2005.
9 of 13 Western states had positive domestic migration. Only California and a few Mountain West states had negative numbers.

The 2005 numbers show the overall domestic migration picture as it had been for at least the last few decades, if not much longer. The South and West were the dominant net gainers of domestic migration, while most of the North sent people to those regions.

In 2012, the breakdown was as follows:
11 of 14 Southern states had positive domestic migration. Even with Katrina-hit state Mississippi having net gains in 2012, the overall number of states with positive gains declined.
8 of 24 Northern states had positive domestic migration, a slight improvement over 2005.
8 of 13 Western states had positive domestic migration, a slight decline over 2005.

But the breakdowns don’t tell us the whole story. When trying to compare the two years, trends are very important, and the trends are far more revealing.

Total Change 2005-2012 By Rank
1. California: +192,898
2. New York: +104,699
3. Louisiana: +94,943
4. Ohio: +40,736
5. Massachusetts: +37,147
6. Colorado: +26,567
7. North Dakota: +16,807
8. Missouri: +13,838
9. Mississippi: +13,689
10. Michigan: +12,091
11. Rhode Island: +12,089
12. Utah: +11,356
13. New Hampshire: +10,214
14. Vermont: +7,955
15. Maryland: +6,897
16.Washington, D.C.: +5,402
17. Wisconsin: +4,224
18. South Dakota: +3,218
19. South Carolina: +1,837
20. Kentucky: +1,448
21. Virginia: +989
22. Nebraska: -46
23. Connecticut: -176
24. Wyoming: -273
25. Montana: -775
26. Washington: -906
27. Nevada: -1,004
28. Indiana: -1,238
29. West Virginia: -1,298
30. Delaware: -1,951
31. Kansas: -2,606
32. Iowa: -5,131
33. Hawaii: -8,752
34. Oklahoma: -9,970
35. Illinois: -12,424
36. Maine: -13,472
37. Minnesota: -13,750
38. North Carolina: -16,729
39. Idaho: -16,908
40. Arkansas: -18,784
41. Texas: -18,957
42. New Mexico: -22,942
43. Alabama: -23,932
44. Pennsylvania: -24,524
45. Alaska: -25,683
46. Tennessee: -30,646
47. Oregon: -32,618
48. Georgia: -63,046
49. New Jersey: -67,615
50. Florida: -79,212
51. Arizona: -105,886

5 of 14 Southern states improved their domestic migration rates 2005-2012.
13 of 24 Northern states improved their domestic migration rates 2005-2012.
3 of 13 Western states improved their domestic migration rates 2005-2012.

Ohio had the 4th best improvement over the period, a huge change. But some might ask, is it really a change when the rates may still be positive or negative like they were before? Well, yes and no. 7 years is not that long, and we’re talking about decades-long patterns here. Those won’t change like flipping a switch. It will take time. The point is more that for many states that have faced negative numbers for a long time, there is positive momentum now that they did not have before. Another question some may ask, however, is if the recession during the period reduced mobility. In some cases, I’m sure that it did, but if so, that reduction seems to have been centered on the South. A reduction in mobility would only indicate that migration rates would reduce to levels around 0, neither particularly positive nor negative. That reduction would NOT necessarily support switches from positive to negative or increases in negative or positive rates that already exist. Meaning that reduced mobility would mean that positive would become less positive as fewer people moved in, and negative would become less negative as fewer people left. On a state and regional basis, there is a wide range of results that do not support that geographic mobility alone is the culprit, or even a primary factor.