2017 County/Metro Population Estimates Part 2




In part 2, I am going to examine metro areas, not only in Ohio, but also Columbus’ peer group that includes Midwest and national metro areas. Midwest peers (outside Ohio) used would be any metro with a population greater than 500,000. National peers would be metros that either started or ended the period 2010-2017 with a population between 1.5-2.5 Million.

As with counties, I am going to start this look with a comparison of overall population.

Total Metro Area Population Census 2010, July 1, 2016 and July 1, 2017

Census 2010——————————-July 1, 2016————————July 1, 2017
1. Chicago, IL: 9,461,104————-1. Chicago: 9,546,326———–1. Chicago: 9,533,040
2. Detroit, MI: 4,296,250—————2. Detroit: 4,305,869————-2. Detroit: 9,313,002
3. Minneapolis, MN: 3,348,8459—3. Minneapolis: 3,557,276–3. Minneapolis: 3,600,618
4. St. Louis, MO: 2,787,701———4. St. Louis: 2,806,782———4. St. Louis: 2,807,338
5. Pittsburgh, PA: 2,356,285——–5. Charlotte: 2,475,519———5. Charlotte: 2,525,305
6. Portland, OR: 2,226,009———-6. Orlando: 2,453,333———-6. Orlando: 2,509,831
7. Charlotte: 2,217,012———–7. San Antonio: 2,426,211—–7. San Antonio: 2,473,974
8. Sacramento, CA: 2,149,127—–8. Portland: 2,423,102——–8. Portland: 2,453,168
9. San Antonio, TX: 2,142,516—–9. Pittsburgh: 2,341,536——9. Pittsburgh: 2,333,367
10. Orlando, FL: 2,134,411—–10. Sacramento: 2,295,233—10. Sacramento: 2,324,884
11. Cincinnati: 2,114,580———-11. Cincinnati: 2,166,029—–11. Las Vegas: 2,204,079
12. Cleveland: 2,077,240————12. Las Vegas: 2,156,724—-12. Cincinnati: 2,179,082
13. Kansas City, MO: 2,009,342-13. Kansas City: 2,106,382-13. Kansas City: 2,128,912
14. Las Vegas, NV: 1,951,269——–14. Austin: 2,060,558——–14. Austin: 2,115,827
15. Columbus: 1,901,974———-15. Cleveland: 2,060,065——15. Columbus: 2,078,725
16. Indianapolis, IN: 1,887,877——16. Columbus: 2,046,977—16. Cleveland: 2,058,844
17. San Jose, CA: 1,836,911—17. Indianapolis: 2,005,612—17. Indianapolis: 2,028,614
18. Austin, TX: 1,716,289————18. San Jose: 1,990,910—-18. San Jose: 1,998,463
19. Virginia Beach, VA: 1,676,822—19. Nashville: 1,868,855—-19. Nashville: 1,903,045
20. Nashville: 1,670,890—20. Virginia Beach: 1,722,766–20. Virginia Beach: 1,725,246
21. Providence, RI: 1,600,852—-21. Providence: 1,615,878—21. Providence: 1,621,122
22. Milwaukee, WI: 1,555,908—–22. Milwaukee: 1,576,143—22. Milwaukee: 1,576,236
23. Jacksonville, FL: 1,345,596-23. Jacksonville: 1,476,503–23. Jacksonville: 1,504,980
24. Grand Rapids: 988,938–24. Grand Rapids: 1,048,826-24. Grand Rapids: 1,059,113
25. Omaha, NE: 865,350————–25. Omaha: 924,003—-25. Omaha: 933,316
26. Dayton: 799,232——————–26. Dayton: 800,886—–26. Dayton: 803,416
27. Akron: 703,200———————27. Akron: 702,556——–27. Akron: 703,505
28. Wichita, KS: 630,919————-28. Madison: 647,432—28. Madison: 654,230
29. Toledo: 610,001——————29. Wichita: 644,680——29. Des Moines: 645,911
30. Madison, WI: 605,435———–30. Des Moines: 634,740—-30. Wichita: 645,628
31. Des Moines, IA: 569,633——-31. Toledo: 604,591——31. Toledo: 603,668
32. Youngstown: 565,773——32. Youngstown: 544,543—32. Youngstown: 541,926
33. Canton: 404,422——————33. Canton: 401,165—-33. Canton: 399,927

Columbus passed up Cleveland to become Ohio’s 2nd largest metro.

Metro Area Total Growth Census 2010-July 1, 2017 and July 1, 2016-July 1, 2017

Census 2010-July 1, 2017—————————–July 1, 2016-July 1, 2017

1. Austin, TX: +399,507———————————–1. Orlando: +56,498
2. Orlando, FL: +375,432———————————2. Austin: +55,269
3. San Antonio, TX: +331,458—————————3. Charlotte: +49,786
4. Charlotte, NC: +308,313——————————-4. San Antonio: +47,763
5. Las Vegas, NV: +252,810—————————–5. Las Vegas: +47,355
6. Minneapolis, MN: +251,760————————–6. Minneapolis: +43,342
7. Nashville, TN: +232,162——————————-7. Nashville: +34,190
8. Portland, OR: +227,167——————————-8. Columbus: +31,748
9. Columbus: +176,724———————————–9. Portland: +30,066
10. Sacramento, CA: +175,740————————10. Sacramento: +29,651
11. San Jose, CA: +161,523—————————-11. Jacksonville: +28,477
12. Jacksonville, FL: +159,382————————-12. Indianapolis: +23,002
13. Indianapolis, IN: +140,524————————-13. Kansas City: +22,530
14. Kansas City, MO: +119,574————————14. Cincinnati: +13,053
15. Des Moines, IA: +76,278—————————15. Des Moines: +11,171
16. Chicago, IL: +71,499——————————–16. Grand Rapids: +10,287
17. Grand Rapids, MI: +70,173————————17. Omaha: +9,313
18. Omaha, NE: +67,960——————————–18. San Jose: +7,533
19. Cincinnati: +64,396———————————–19. Detroit: +7,133
20. Madison, WI: +48,802——————————-20. Madison: +6,798
21. Virginia Beach, VA: +48,429———————-21. Providence: +5,244
22. Milwaukee, WI: +20,282—————————22. Dayton: +2,530
23. Providence, RI: +19,912————————–23. Virginia Beach: +2,480
24. St. Louis, MO: +19,575—————————24. Akron: +949
25. Detroit, MI: +16,685——————————-25. Wichita: +948
26. Wichita, KS: +14,704——————————26. St. Louis: +556
27. Dayton: +4,165————————————-27. Milwaukee: +93
28. Akron: +302—————————————–28. Toledo: -923
29. Canton: -4,501————————————-29. Cleveland: -1,221
30. Toledo: -6,334————————————-30. Canton: -1,238
31. Cleveland: -18,427——————————-31. Youngstown: -2,617
32. Pittsburgh, PA: -22,924————————-32. Pittsburgh: -8,169
33. Youngstown: -23,873—————————-33. Chicago: -13,286

Now, as done with counties, let’s look at the components of population change for metro areas.

Total Births By Metro Census 2010-July 1, 2017 and July 1, 2016-July 1, 2017

Census 2010-July 1, 2017———————————July 1, 2016-July 1, 2017
1. Chicago: +869,178—————————————-1. Chicago: +115,915
2. Detroit: +364,121———————————————-2. Detroit: +49,940
3. Minneapolis: +331,430————————————–3. Minneapolis: +45,810
4. St. Louis: +246,280——————————————4. San Antonio: +34,318
5. San Antonio: +236,348————————————–5. St. Louis: +33,143
6. Charlotte: +217,525——————————————6. Charlotte: +31,315
7. Portland: +201,872——————————————-7. Orlando: +29,173
8. Orlando: +200,843——————————————-8. Portland: +28,220
9. Kansas City: +200,535————————————–9. Columbus: +27,663
10. Sacramento: +198,466————————————10. Kansas City: +27,565
11. Columbus: +197,185—————————————11. Las Vegas: +27,449
12. Cincinnati: +196,146—————————————12. Austin: +27,400
13. Las Vegas: +194,083————————————–13. Sacramento: +27,148
14. Indianapolis: +193,599————————————14. Cincinnati: +26,855
15. Austin: +188,961——————————————–15. Indianapolis: +26,769
16. San Jose: +176,224—————————————-16. Nashville: +24,690
17. Pittsburgh: +173,472—————————————17. San Jose: +23,826
18. Nashville: +170,824—————————————–18. Pittsburgh: +23,614
19. Cleveland: +168,361—————————————19. Cleveland: +22,873
20. Virginia Beach: +163,787———————————20. Milwaukee: +19,474
21. Milwaukee: +144,429————————————–21. Jacksonville: +18,748
22. Jacksonville: +130,339————————————22. Providence: +16,542
23. Providence: +120,526————————————-23. Grand Rapids: +13,548
24. Grand Rapids: +98,214———————————–24. Omaha: +13,421
25. Omaha: +96,558——————————————-25. Dayton: +9,615
26. Dayton: +69,855——————————————-26. Des Moines: +9,172
27. Wichita: +65,873——————————————27. Wichita: +8,694
28. Des Moines: +63,958————————————28. Madison: +7,400
29. Akron: +54,644——————————————–29. Toledo: +7,345
30. Toledo: +54,309——————————————-30. Akron: +7,342
31. Madison: +53,718—————————————-31. Virginia Beach: +5,935
32. Youngstown: +40,696———————————–32. Youngstown: +5,551
33. Canton: +32,199——————————————33. Canton: +4,434

Total Deaths By Metro Census 2010-July 1, 2017 and July 1, 2016-July 1, 2017

Census 2010-July 1, 2017———————————July 1, 2016-July 1, 2017
1. Chicago: -501,469—————————————1. Chicago: -72,491
2. Detroit: -293,091—————————————–2. Detroit: -41,075
3. Pittsburgh: -197,572————————————3. Pittsburgh: -27,439
4. St. Louis: -186,111————————————–4. St. Louis: -26,755
5. Minneapolis: -161,913———————————5. Minneapolis: -23,527
6. Cleveland: -153,138———————————–6. Cleveland: -21,068
7. Cincinnati: -135,975———————————–7. Cincinnati: -19,515
8. Charlotte: -127,523————————————-8. Charlotte: -19,009
9. Portland: -120,590————————————–9. Orlando: -18,268
10. Sacramento: -120,429——————————10. Sacramento: -18,081
11. Kansas City: -119,748——————————11. Portland: -17,875
12. Orlando: -117,771———————————–12. San Antonio: -17,679
13. San Antonio: -117,289——————————13. Kansas City: -17,106
14. Indianapolis: -113,742——————————14. Las Vegas: -16,867
15. Columbus: -108,704——————————–15. Indianapolis: -16,081
16. Las Vegas: -108,003——————————–16. Columbus: -15,833
17. Providence: -107,920——————————-17. Providence: -15,031
18. Nashville: -99,415———————————–18. Nashville: -14,723
19. Virginia Beach: -97,935—————————-19. Milwaukee: -13,399
20. Milwaukee: -95,601———————————20. Jacksonville: -13,288
21. Jacksonville: -86,920——————————-21. San Jose: -11,360
22. San Jose: -73,507———————————–22. Austin: -10,609
23. Austin: -67,704—————————————23. Dayton: -8,359
24. Dayton: -59,736————————————-24. Grand Rapids: -7,674
25. Grand Rapids: -53,725—————————-25. Akron: -7,138
26. Akron: -50,948—————————————26. Youngstown: -6,821
27. Youngstown: -50,302——————————27. Omaha: -6,667
28. Omaha: -47,763————————————-28. Toledo: -5,968
29. Toledo: -42,313————————————-29. Wichita: -5,686
30. Wichita: -40,647————————————30. Des Moines: -4,631
31. Canton: -31,722————————————31. Canton: -4,366
32. Des Moines: -31,563——————————32. Madison: -4,252
33. Madison: -30,385———————————-33. Virginia Beach: -3,280

Total Net Natural Change (Births vs. Deaths) By Metro Census 2010-July 1, 2017 and July 1, 2016-July 1, 2017

Census 2010-July 1, 2017———————————July 1, 2016-July 1, 2017
1. Chicago: +367,709—————————————1. Chicago: +43,424
2. Minneapolis: +169,517———————————–2. Minneapolis: +22,283
3. Austin: +121,257——————————————3. Austin: +16,791
4. San Antonio: +119,059———————————-4. San Antonio: +16,639
5. San Jose: +102,717————————————–5. San Jose: +12,466
6. Charlotte: +90,002—————————————-6. Charlotte: +12,306
7. Columbus: +88,481————————————–7. Columbus: +11,830
8. Las Vegas: +86,080————————————-8. Orlando: +10,905
9. Orlando: +83,072—————————————-9. Indianapolis: +10,688
10. Portland: +81,282————————————-10. Las Vegas: +10,582
11. Kansas City: +80,787———————————11. Kansas City: +10,459
12. Indianapolis: +79,857——————————–12. Portland: +10,345
13. Sacramento: +78,037——————————–13. Nashville: +9,967
14. Nashville: +71,409————————————14. Sacramento: +9,067
15. Detroit: +71,030—————————————15. Detroit: +8,865
16. Virginia Beach: +65,852—————————–16. Virginia Beach: +7,762
17. Cincinnati: +60,171———————————–17. Cincinnati: +7,340
18. St. Louis: +60,169————————————-18. Omaha: +6,754
19. Milwaukee: +48,828———————————-19. St. Louis: +6,388
20. Omaha: +48,795————————————–20. Grand Rapids: +5,874
21. Grand Rapids: +44,489—————————–21. Jacksonville: +5,460
22. Jacksonville: +43,419——————————-22. Des Moines: +4,541
23. Des Moines: +32,395——————————-23. Madison: +3,148
24. Wichita: +25,226————————————-24. Milwaukee: +6,075
25. Madison: +23,333———————————–25. Wichita: +3,008
26. Cleveland: +15,223——————————–26. Cleveland: +1,805
27. Providence: +12,606——————————27. Providence: +1,511
28. Toledo: +11,996———————————–28. Toledo: +1,377
29. Dayton: +10,119———————————-29. Dayton: +1,256
30. Akron: +3,696————————————–30. Akron: +204
31. Canton: +477—————————————31. Canton: +68
32. Youngstown: -9,606——————————-32. Youngstown: -1,270
33. Pittsburgh: -24,100——————————–33. Pittsburgh: -3,825

Total Domestic Migration By Metro Census 2010-July 1, 2017 and July 1, 2016-July 1, 2017

Census 2010-July 1, 2017———————————July 1, 2016-July 1, 2017
1. Austin: +224,351—————————————–1. Charlotte: +31,102
2. Charlotte: +177,484————————————-2. Austin: +30,120
3. San Antonio: +169,684——————————–3. Las Vegas: +29,414
4. Orlando: +155,498————————————–4. San Antonio: +24,891
5. Nashville: +126,142————————————-5. Orlando: +23,321
6. Las Vegas: +119,742———————————-6. Jacksonville: +18,921
7. Portland: +106,839————————————-7. Nashville: +18,708
8. Jacksonville: +87,040———————————8. Portland: +13,384
9. Sacramento: +49,262———————————9. Sacramento: +12,888
10. Columbus: +42,932———————————10. Columbus: +12,562
11. Des Moines: +32,042——————————-11. Kansas City: +8,531
12. Indianapolis: +30,772——————————-12. Minneapolis: +8,095
13. Kansas City: +16,802——————————-13. Indianapolis: +7,763
14. Madison: +13,224————————————14. Des Moines: +4,812
15. Grand Rapids: +12,355—————————-15. Grand Rapids: +2,217
16. Omaha: +5,265—————————————16. Madison: +1,706
17. Minneapolis: +432———————————–17. Cincinnati: +1,541
18. Canton: -5,797—————————————-18. Omaha: +383
19. Akron: -13,427—————————————-19. Dayton: -346
20. Youngstown: -16,228——————————-20. Akron: -877
21. Dayton: -16,864————————————–21. Canton: -1,469
22. Wichita: -18,452————————————–22. Youngstown: -1,711
23. Cincinnati: -21,259———————————-23. Providence: -2,588
24. Toledo: -23,102————————————–24. Toledo: -3,070
25. Pittsburgh: -24,397———————————25. Wichita: -3,235
26. Providence: -33,335——————————-26. Virginia Beach: -4,706
27. Milwaukee: -50,575——————————–27. Cleveland: -8,008
28. Virginia Beach: -51,916—————————28. Pittsburgh: -8,633
29. Cleveland: -64,353——————————–29. Milwaukee: -9,635
30. St. Louis: -67,560———————————30. St. Louis: -8,828
31. San Jose: -73,026——————————–31. Detroit: -14,863
32. Detroit: -141,006———————————-32. San Jose: -25,729
33. Chicago: -479,482——————————–33. Chicago: -85,177

Total International Migration By Metro Census 2010-July 1, 2017 and July 1, 2016-July 1, 2017

Census 2010-July 1, 2017———————————July 1, 2016-July 1, 2017
1. Chicago: +183,162—————————————1. Chicago: +28,302
2. Orlando: +135,860—————————————2. Orlando: +22,207
3. San Jose: +132,938————————————-3. San Jose: +20,747
4. Detroit: +86,366——————————————4. Detroit: +13,214
5. Minneapolis: +83,552———————————-5. Minneapolis: +13,107
6. Sacramento: +49,560———————————-6. Austin: +8,185
7. Austin: +49,311——————————————7. Sacramento: +7,722
8. Las Vegas: +46,411————————————8. Columbus: +7,350
9. Columbus: +45,744————————————9. Las Vegas: +7,221
10. Providence: +41,325——————————–10. Providence: +6,381
11. San Antonio: +40,953——————————-11. Portland: +6,335
12. Charlotte: +39,380———————————–12. Charlotte: +6,279
13. Portland: +38,542————————————13. San Antonio: +6,173
14. Virginia Beach: +34,619—————————-14. Nashville: +5,510
15. Nashville: +33,169———————————–15. Cleveland: +5,045
16. Cleveland: +31,236———————————-16. Indianapolis: +4,603
17. Indianapolis: +30,329——————————-17. Pittsburgh: +4,359
18. Jacksonville: +28,593——————————-18. Cincinnati: +4,285
19. St. Louis: +27,666————————————19. Jacksonville: +4,043
20. Pittsburgh: +27,300———————————20. St. Louis: +4,032
21. Cincinnati: +26,502———————————21. Milwaukee: +3,689
22. Kansas City: +23,098——————————22. Kansas City: +3,572
23. Milwaukee: +22,616——————————–23. Grand Rapids: +2,233
24. Omaha: +14,383————————————24. Omaha: +2,213
25. Grand Rapids: +13,800—————————25. Madison: +1,949
26. Madison: +12,367———————————-26. Des Moines: +1,807
27. Des Moines: +11,592—————————–27. Dayton: +1,654
28. Dayton: +11,230———————————–28. Akron: +1,647
29. Akron: +10,413————————————-29. Wichita: +1,187
30. Wichita: +8,117————————————-30. Virginia Beach: +1,077
31. Toledo: +4,627————————————-31. Toledo: +769
32. Youngstown: +2,171——————————32. Youngstown: +381
33. Canton: +1,118————————————33. Canton: +174

Total Net Migration By Metro Census 2010-July 1, 2017 and July 1, 2016-July 1, 2017

Census 2010-July 1, 2017———————————July 1, 2016-July 1, 2017
1. Orlando: +291,358————————————–1. Orlando: +45,528
2. Austin: +273,662—————————————-2. Austin: +38,305
3. Charlotte: +216,864————————————3. Charlotte: +37,381
4. San Antonio: +210,637——————————–4. Las Vegas: +36,635
5. Las Vegas: +166,153———————————-5. San Antonio: +31,064
6. Nashville: +159,311————————————6. Nashville: +24,218
7. Portland: +145,381————————————7. Jacksonville: +22,964
8. Jacksonville: +115,633——————————-8. Minneapolis: +21,202
9. Sacramento: +98,822——————————–9. Sacramento: +20,610
10. Columbus: +88,676——————————–10. Columbus: +19,912
11. Minneapolis: +83,984——————————11. Portland: +19,719
12. Indianapolis: +61,101——————————12. Indianapolis: +12,366
13. San Jose: +59,912———————————-13. Kansas City: +12,103
14. Des Moines: +43,634——————————14. Des Moines: +6,619
15. Kansas City: +39,900——————————15. Cincinnati: +5,826
16. Grand Rapids: +26,155—————————16. Grand Rapids: +4,450
17. Madison: +25,591———————————-17. Providence: +3,793
18. Omaha: +19,648————————————18. Madison: +3,655
19. Providence: +7,990———————————19. Omaha: +2,596
20. Cincinnati: +5,243———————————-20. Dayton: +1,308
21. Pittsburgh: +2,903———————————-21. Akron: +770
22. Akron: -3,014—————————————-22. Canton: -1,295
23. Canton: -4,679————————————–23. Youngstown: -1,330
24. Dayton: -5,634————————————–24. Detroit: -1,649
25. Wichita: -10,335————————————25. Wichita: -2,048
26. Youngstown: -14,057—————————–26. Toledo: -2,301
27. Virginia Beach: -17,297————————–27. Cleveland: -2,963
28. Toledo: -18,475————————————28. Virginia Beach: -3,629
29. Milwaukee: -27,959——————————29. Pittsburgh: -4,274
30. Cleveland: -33,117——————————-30. San Jose: -4,982
31. St. Louis: -39,894———————————31. St. Louis: -5,796
32. Detroit: -54,640————————————32. Milwaukee: -5,946
33. Chicago: -296,320——————————-33. Chicago: -56,875




2017 Ohio County/Metro Population Estimates Part 1




Early this morning, the Census released the most recent population figures for counties, Metropolitan Statistical Areas and Consolidated Statistical Areas. The estimates cover the year from July 1, 2016 to July 1, 2017. For Part 1, we are going to take a look at counties.

Here are Ohio’s 88 counties and their population Census 2010, July 1, 2016 and July 1, 2017. The counties highlighted by color are as follows:
Akron Metro Counties
Canton  Metro Counties
Cincinnati Metro Counties (Ohio Only)
Cleveland Metro Counties
Columbus Metro Counties
Dayton Metro Counties
Toledo Metro Counties
Youngstown Metro Counties
Black are non-metro counties.

Census 2010——————————July 1, 2016————————-July 1, 2017
1. Cuyahoga: 1,280,122———–1. Franklin: 1,269,998———–1. Franklin: 1,291,981
2. Franklin: 1,163,414————2. Cuyahoga: 1,253,454——–2. Cuyahoga: 1,248,514
3. Hamilton: 802,374 ————–3. Hamilton: 810,087————-3. Hamilton: 813,822
4. Summit: 541,781—————-4. Summit: 540,394—————4. Summit: 541,228
5. Montgomery: 535,153——5. Montgomery: 531,395——–5. Montgomery: 530,604
6. Lucas: 441,815——————6. Lucas: 432,562—————–6. Lucas 430,887
7. Stark: 375,586——————-7. Butler: 377,933——————7. Butler: 380,604
8. Butler: 368,130——————8. Stark: 373,528——————8. Stark: 372,542
9. Lorain: 301,356—————–9. Lorain: 306,590——————9. Lorain: 307,924
10. Mahoning: 238,823———10. Mahoning: 230,169————10. Lake: 230,117
11. Lake: 230,041—————–11. Lake: 229,270——————11. Mahoning: 229,796
12. Warren: 212,693————-12. Warren: 226,476—————12. Warren: 228,882
13. Trumbull: 210,312———–13. Clermont: 203,016————13. Clermont: 204,214
14. Clermont: 197,363———–14. Trumbull: 201,701————-14. Delaware: 200,464
15. Delaware: 174,214———–15. Delaware: 196,777————15. Trumbull: 200,380
16. Medina: 172,332————-16. Medina: 176,903—————16. Medina: 178,371
17. Licking: 166,492————–17. Licking: 171,822—————17. Licking: 173,448
18. Greene: 161,573————–18. Greene: 165,109—————-18. Greene: 166,752
19. Portage: 161,419————-19. Portage: 162,162—————19. Portage: 162,277
20. Fairfield: 146,156————20. Fairfield: 152,681—————-20. Fairfield: 154,733
21. Clark: 138,333—————–21. Clark: 134,621——————–21. Clark: 134,557
22. Wood: 125,488—————22. Wood: 129,704——————-22. Wood: 130,492
23. Richland: 124,475————23. Richland: 121,167—————-23. Richland: 120,589
24. Wayne: 114,520————–24. Wayne: 116,422——————24. Wayne: 116,038
25. Columbiana: 107,841——-25. Miami: 104,382——————–25. Miami: 105,122
26. Allen: 106,331—————-26. Columbiana: 103,744————26. Allen: 103,198
27. Miami: 102,506————–27. Allen: 103,626——————27. Columbiana: 103,077
28. Ashtabula: 101,497———28. Ashtabula: 98,169————–28. Ashtabula: 97,807
29. Geauga: 93,389————-29. Geauga: 93,848—————–29. Geauga: 93,918
30. Tuscarawas: 92,582——–30. Tuscarawas: 92,485————30. Tuscarawas: 92,297
31. Muskingum: 86,074———31. Muskingum: 85,929————-31. Muskingum: 86,149
32. Scioto: 79,499—————-32. Ross: 76,910———————32. Ross: 77,313
33. Ross: 78,064—————–33. Scioto: 76,240——————–33. Scioto: 75,929
34. Erie: 77,079——————34. Hancock: 75,590—————–34. Hancock: 75,754
35. Hancock: 74,782————35. Erie: 74,944———————–35. Erie: 74,817
36. Belmont: 70,400————-36. Belmont: 68,568—————–36. Belmont: 68,029
37. Jefferson: 69,709————37. Jefferson: 66,914—————37. Athens: 66,597
38. Marion: 66,501—————38. Athens: 66,320——————38. Jefferson: 66,359
39. Athens: 64,757—————39. Marion: 65,334——————39. Marion: 64,967
40. Lawrence: 62,450———–40. Knox: 60,832———————40. Knox: 61,261
41. Washington: 61,778———41. Lawrence: 60,729————–41. Washington: 60,418
42. Sandusky: 60,944————42. Washington: 60,535———–42. Lawrence: 60,249
43. Knox: 60,921——————43. Sandusky: 59,281————–43. Sandusky: 59,195
44. Huron: 59,626—————–44. Huron: 58,391——————-44. Huron: 58,494
45. Seneca: 56,745—————45. Pickaway: 57,530—————45. Pickaway: 57,830
46. Pickaway: 55,698————-46. Union: 55,456——————-46. Union: 56,741
47. Ashland: 53,139—————47. Seneca: 55,357—————–47. Seneca: 55,243
48. Darke: 53,139—————–48. Ashland: 53,417—————–48. Ashland: 53,628
49. Union: 52,300——————49. Darke: 51,636——————-49. Darke: 51,536
50. Shelby: 49,423—————–50. Shelby: 48,726—————–50. Shelby: 48,759
51. Auglaize: 45,949————–51. Auglaize: 45,797—————-51. Auglaize: 45,778
52. Logan: 45,858—————–52. Logan: 45,171——————-52. Logan: 45,325
53. Brown: 44,846—————–53. Holmes: 43,832—————–53. Madison: 44,036
54. Crawford: 43,784————-54. Brown: 43,644——————-54. Holmes: 43,957
55. Highland: 43,589————-55. Madison: 43,354—————–55. Brown: 43,576
56. Madison: 43,435————-56. Highland: 42,993—————–56. Highland: 42,971
57. Fulton: 42,698—————-57. Fulton: 42,325——————–57. Fulton: 42,289
58. Holmes: 42,366————–58. Crawford: 42,037—————–58. Clinton: 42,009
59. Preble: 42,270—————-59. Clinton: 41,881——————-59. Crawford: 41,746
60. Clinton: 42,040—————60. Preble: 41,105——————–60. Preble: 41,120
61. Ottawa: 41,428—————61. Mercer: 40,710——————-61. Mercer: 40,873
62. Mercer: 40,814—————62. Ottawa: 40,495——————-62. Ottawa: 40,657
63. Champaign: 40,097———63. Guernsey: 39,200—————63. Guernsey: 39,093
64. Guernsey: 40,087———–64. Champaign: 38,737————-64. Champaign: 38,840
65. Defiance: 39,037————65. Defiance: 38,121—————–65. Defiance: 38,156
66. Williams: 37,642————66. Williams: 36,921——————66. Williams: 36,784
67. Coshocton: 36,901———-67. Coshocton: 36,644————-67. Coshocton: 36,544
68. Perry: 36,058—————–68. Perry: 36,019——————–68. Perry: 36,024
69. Morrow: 34,827————–69. Morrow: 34,827——————69. Morrow: 34,994
70. Putnam: 34,499————–70. Putnam: 34,016—————–70. Putnam: 33,878
71. Jackson: 33,225————-71. Jackson: 32,534—————–71. Jackson: 32,449
72. Hardin: 32,058—————72. Hardin: 31,407——————-72. Hardin: 31,364
73. Gallia: 30,934—————-73. Gallia: 29,996———————73. Gallia: 29,973
74. Hocking: 29,380————-74. Fayette: 28,662——————74. Fayette: 28,752
75. Fayette: 29,030————–75. Hocking: 28,386—————–75. Hocking: 28,474
76. Carroll: 28,836—————76. Pike: 28,237———————–76. Pike: 28,270
77. Van Wert: 28,744————77. Van Wert: 28,166—————-77. Van Wert: 28,217
78. Pike: 28,709——————-78. Adams: 27,832——————-78. Adams: 27,726
79. Adams: 28,550—————79. Carroll: 27,637——————–79. Carroll: 27,385
80. Henry: 28,215—————-80. Henry: 27,269———————80. Henry: 27,185
81. Meigs: 23,770—————-81. Meigs: 23,177———————81. Meigs: 23,080
82. Wyandot: 22,615————-82. Wyandot: 22,042—————-82. Wyandot: 22,029
83. Paulding: 19,614————83. Paulding: 18,839——————83. Paulding: 18,845
84. Harrison: 15,864————-84. Harrison: 15,257——————84. Harrison: 15,216
85. Morgan: 15,054————–85. Morgan: 14,762——————-85. Morgan: 14,709
86. Noble: 14,645—————–86. Noble: 14,443———————86. Noble: 14,406
87. Monroe: 14,642————–87. Monroe: 14,097——————–87. Monroe: 13,946
88. Vinton: 13,435—————-88. Vinton: 13,021———————88. Vinton: 13,092

Columbus’ counties tended to move up in the rankings 2010-2017.




Let’s now take a look at total growth for the periods July 1, 2016-July 1, 2017 and Census 2010 to July 1, 2017.

Census 2010-July 1, 2017————————-July 1, 2016-July 1, 2017
1. Franklin: +128,452—————————–1. Franklin: +21,983
2. Delaware: +26,275—————————–2. Hamilton: +3,735
3. Warren: +16,049——————————–3. Delaware: +3,687
4. Butler: +12,474———————————-4. Butler: +2,671
5. Hamilton: +11,435——————————5. Warren: +2,406
6. Fairfield: +8,556——————————–6. Fairfield: +2,052
7. Licking: +6,956———————————7. Greene: +1,643
8. Clermont: +6,862——————————-8. Licking: +1,626
9. Lorain: +6,555———————————–9. Medina: +1,468
10. Medina: +6,038——————————-10. Lorain: +1,334
11. Greene: +5,178——————————-11. Union: +1,285
12. Wood: +5,003———————————12. Clermont: +1,198
13. Union: +4,482———————————13. Lake: +847
14. Miami: +2,621———————————14. Summit: +834
15. Pickaway: +2,152—————————–15. Wood: +788
16. Athens: +1,833——————————–16. Miami: +740
17. Holmes: +1,593——————————–17. Madison: +682
18. Wayne: +1,522———————————18. Knox: +429
19. Hancock: +965———————————19. Ross: +403
20. Portage: +856———————————-20. Pickaway: +300
21. Madison: +598———————————21. Athens: +277
22. Geauga: +508———————————-22. Muskingum: +220
23. Ashland: +489———————————23. Ashland: +211
24. Knox: +331————————————-24. Hancock: +164
25. Morrow: +167———————————25. Mercer: +163
26. Lake: +67————————————–26. Ottawa: +162
27. Muskingum: +63—————————–27. Logan: +154
28. Mercer: +59———————————-28. Montgomery: +147
29. Perry: -15————————————-29. Clinton: +128
30. Clinton: -28———————————–30. Holmes: +125
31. Auglaize: -171——————————-31. Portage: +115
32. Noble: -239———————————–32. Champaign: +103
33. Fayette: -273——————————–33. Huron: +103
34. Tuscarawas: -285————————–34. Fayette: +90
35. Vinton: -338———————————35. Hocking: +88
36. Morgan: -347——————————-36. Vinton: +71
37. Coshocton: -354—————————37. Geauga: +70
38. Fulton: -409———————————38. Van Wert: +51
39. Pike: -432———————————–39. Morrow: +40
40. Van Wert: -526—————————-40. Defiance: +35
41. Logan: -529———————————41. Pike: +33
42. Summit: -554——————————-42. Shelby: +33
43. Wyandot: -586——————————43. Preble: +15
44. Putnam: -618——————————-44. Paulding: +6
45. Highland: -629—————————–45. Perry: +5
46. Harrison: -646——————————46. Wyandot: -13
47. Shelby: -659——————————–47. Auglaize: -19
48. Meigs: -687———————————48. Highland: -22
49. Hardin: -696——————————–49. Gallia: -23
50. Monroe: -696——————————-50. Fulton: -36
51. Ross: -752———————————-51. Noble: -37
52. Paulding: -770——————————52. Harrison: -41
53. Jackson: -777——————————53. Hardin: -43
54. Ottawa: -777——————————-54. Morgan: -53
55. Adams: -826——————————-55. Clark: -64
56. Williams: -864—————————–56. Brown: -68
57. Defiance: -875—————————-57. Henry: -84
58. Hocking: -899—————————–58. Jackson: -85
59. Gallia: -973——————————–59. Sandusky: -86
60. Guernsey: -998————————–60. Meigs: -97
61. Henry: -1,030—————————–61. Coshocton: -100
62. Huron: -1,131—————————–62. Darke: -100
63. Preble: -1,139—————————-63. Adams: -106
64. Champaign: -1,253———————64. Guernsey: -107
65. Brown: -1,267—————————-65. Seneca: -114
66. Washington: -1,360———————66. Washington: -117
67. Darke: -1,433—————————-67. Erie: -127
68. Carroll: -1,451—————————68. Williams: -137
69. Seneca: -1,499————————-69. Putnam: -138
70. Marion: -1,534————————–70. Monroe: -151
71. Sandusky: -1,751———————-71. Tuscarawas: -188
72. Crawford: -2,039———————–72. Carroll: -252
73. Lawrence: -2,199———————-73. Crawford: -291
74. Erie: -2,249—————————–74. Scioto: -311
75. Belmont: -2,373————————75. Ashtabula: -362
76. Stark: -3,050—————————-76. Marion: -367
77. Allen: -3,128—————————-77. Mahoning: -373
78. Jefferson: -3,350———————-78. Wayne: -384
79. Scioto: -3,568————————–79. Allen: -428
80. Montgomery: -3,634——————80. Lawrence: -480
81. Ashtabula: -3,681———————81. Belmont: -539
82. Clark: -3,790—————————82. Jefferson: -555
83. Richland: -3,887———————-83. Richland: -578
84. Columbiana: -4,764——————84. Columbiana: -667
85. Mahoning: -9,011———————85. Stark: -986
86. Trumbull: -9,938———————-86. Trumbull: -1,321
87. Lucas: -10,928————————87. Lucas: -1,675
88. Cuyahoga: -31,595——————88. Cuyahoga: -4,940

Finally, let’s examine the components of population change, but top 15 only.

Top 15 Counties with the Most Births Census 2010-July 1, 2017 and July 1, 2016-July 1, 2017

Census 2010-July 1, 2017——————————–July 1, 2016-July 1, 2017
1. Franklin: +134,9580———————————–1. Franklin: +19,039
2. Cuyahoga: +107,949———————————-2. Cuyahoga: +14,637
3. Hamilton: +79,087————————————-3. Hamilton: +10,787
4. Montgomery: +48,275——————————–4. Montgomery: +6,576
5. Summit: +44,151—————————————5. Summit: +5,945
6. Lucas: +40,874—————————————–6. Lucas: +5,494
7. Butler: +32,888—————————————–7. Butler: +4,531
8. Stark: +30,188——————————————8. Stark: +4,163
9. Lorain: +24,497—————————————-9. Lorain: +3,329
10. Warren: +17,492————————————-10. Mahoning: +2,382
11. Mahoning: +17,312———————————11. Warren: +2,376
12. Clermont: +16,980———————————-12. Clermont: +2,307
13. Lake: +16,465—————————————–13. Lake: +2,244
14. Delaware: +15,662———————————-14. Delaware: +2,146
15. Trumbull: +15,153———————————–15. Trumbull: +2,059

Top 15 Counties with the Fewest Births Census 2010-July 1, 2017 and July 1, 2016-July 1, 2017

Census 2010-July 1, 2017——————————–July 1, 2016-July 1, 2017
1. Noble: +1,020——————————————-1. Noble: +131
2. Morgan: +1,050—————————————–2. Monroe: +135
3. Vinton: +1,051——————————————-3. Morgan: +139
4. Monroe: +1,083—————————————–4. Vinton: +144
5. Harrison: +1,150—————————————-5. Harrison: +149
6. Paulding: +1,595—————————————-6. Paulding: +213
7. Meigs: +1,762——————————————-7. Meigs: +228
8. Wyandot: +1,849—————————————8. Wyandot: +240
9. Carroll: +2,011—————————————–9. Carroll: +271
10. Hocking: +2,282————————————-10. Henry: +291
11. Henry: +2,295—————————————–11. Hocking: +309
12. Van Wert: +2,373————————————-12. Adams: +322
13. Adams: +2,431—————————————-13. Pike: +328
14. Ottawa: +2,489—————————————-14. Van Wert: +328
15. Pike: +2,504——————————————–15. Ottawa: +334

Top 15 Counties with the Most Deaths Census 2010-July 1, 2017 and July 1, 2016-July 1, 2017

Census 2010-July 1, 2017——————————–July 1, 2016-July 1, 2017
1. Cuyahoga: -98,692———————————–1. Cuyahoga: -13,439
2. Franklin: -65,458————————————–2. Franklin: -9,542
3. Hamilton: -56,157————————————-3. Hamilton: -7,768
4. Montgomery: -42,353——————————-4. Montgomery: -5,883
5. Summit: -40,895————————————–5. Summit: -5,735
6. Lucas: -31,778—————————————-6. Lucas: -4,465
7. Stark: -29.531—————————————–7. Stark: -4,077
8. Butler: -22,747—————————————-8. Butler: -3,347
9. Mahoning: -22,021———————————–9. Lorain: -2,947
10. Lorain: -21,265————————————-10. Mahoning: -2,920
11. Trumbull: -18,189———————————-11. Trumbull: -2,459
12. Lake: -17,265—————————————-12. Lake: -2,444
13. Clark: -12,267—————————————-13. Warren: -1,785
14. Clermont: -11,924———————————-14. Clermont: -1,706
15. Warren: -11,411————————————-15. Clark: -1,680

Top 15 Counties with the Fewest Deaths Census 2010-July 1, 2017 and July 1, 2016-July 1, 2017

Census 2010-July 1, 2017——————————–July 1, 2016-July 1, 2017
1. Noble: -916————————————————1. Noble: -131
2. Vinton: -1,025———————————————2. Vinton: -147
3. Morgan: -1,215——————————————-3. Morgan: -152
4. Monroe: -1,260——————————————-4. Harrison: -186
5. Paulding: -1,405—————————————–5. Paulding: -186
6. Harrison: -1,449——————————————6. Monroe: -189
7. Wyandot: -1,756—————————————–7. Wyandot: -246
8. Meigs: -2,004———————————————8. Henry: -249
9. Henry: -2,007———————————————9. Carroll: -289
10. Hocking: -2,131—————————————10. Meigs: -290
11. Putnam: -2,153—————————————–11. Hocking: -294
12. Carroll: -2,191—————————————–12. Putnam: -303
13. Holmes: -2,191—————————————–13. Van Wert: -306
14. Van Wert: -2,275—————————————14. Morrow: -308
15. Hardin: -2,284——————————————-15. Fayette: -318

Top 15 Counties with the Highest Natural Increase (Births vs. Deaths) Census 2010-July 1, 2017 and July 1, 2016-July 1, 2017

Census 2010-July 1, 2017——————————–July 1, 2016-July 1, 2017
1. Franklin: +69,500————————————-1. Franklin: +9,497
2. Hamilton: +22,930————————————2. Hamilton: +3,019
3. Butler: +10,141—————————————-3. Cuyahoga: +1,198
4. Cuyahoga: +9,257————————————4. Butler: +1,184
5. Lucas: +9,096——————————————5. Lucas: +1,029
6. Delaware: +8,339————————————-6. Delaware: +1,013
7. Warren: +6,081—————————————-7. Montgomery: +693
8. Montgomery: +5,922——————————–8. Clermont: +601
9. Clermont: +5,056————————————-9. Warren: +591
10. Holmes: +3,410————————————–10. Holmes: +445
11. Fairfield: +3,380————————————-11. Guernsey: +414
12. Wayne: +3,313—————————————12. Licking: +408
13. Summit: +3,256————————————-13. Wayne: +406
14. Lorain: +3,232—————————————14. Lorain: +382
15. Licking: +3,173————————————–15. Fairfield: +378

Top 15 Counties with the Lowest Natural Increase (Births vs. Deaths) Census 2010-July 1, 2017 and July 1, 2016-July 1, 2017

Census 2010-July 1, 2017——————————–July 1, 2016-July 1, 2017
1. Mahoning: -4,709—————————————1. Mahoning: -538
2. Trumbull: -3,036—————————————-2. Trumbull: -400
3. Jefferson: -2,097—————————————–3. Jefferson: -276
4. Belmont: -1,370——————————————4. Lake: -200
5. Erie: -990————————————————–5. Belmont: -197
6. Ottawa: -977———————————————-6. Ottawa: -171
7. Columbiana: -891—————————————7. Washington: -134
8. Washington: -829—————————————8. Erie: -132
9. Lake: -800———————————————–9. Columbiana: -130
10. Clark: -694———————————————10. Clark: -119
11. Scioto: -493——————————————–11. Scioto: -68
12. Crawford: -363—————————————-12.  Lawrence: -67
13. Ashtabula: -354—————————————13. Meigs: -62
14. Harrison: -299—————————————–14. Monroe: -54
15. Lawrence: -285—————————————15. Harrison: -37

Top 15 Counties with the Most Domestic Migration Census 2010-July 1, 2017 and July 1, 2016-July 1, 2017

Census 2010-July 1, 2017——————————–July 1, 2016-July 1, 2017
1. Franklin: +18,270———————————-1. Franklin: +5,861
2. Delaware: +15,671———————————2. Delaware: +2,346
3. Warren: +6,996————————————-3. Fairfield: +1,491
4. Fairfield: +4,106————————————4. Warren: +1,332
5. Licking: +3,332————————————-5. Licking: +1,137
6. Medina: +2,900————————————-6. Medina: +1,058
7. Union: +1,953—————————————7. Union: +871
8. Pickaway: +1,489———————————-8. Greene: +763
9. Wood: +1,447—————————————9. Lake: +748
10. Clermont: +1,372——————————–10. Butler: +668
11. Miami: +1,293————————————-11. Madison: +639
12. Ottawa: +224————————————–12. Miami: +547
13. Madison: +177————————————13. Clermont: +515
14. Morgan: -186————————————–14. Ross: +379
15. Lorain: -271—————————————-15. Ottawa: +337

Top 15 Counties with the Least Domestic Migration Census 2010-July 1, 2017 and July 1, 2016-July 1, 2017

Census 2010-July 1, 2017——————————–July 1, 2016-July 1, 2017
1. Cuyahoga: -65,672————————————-1. Cuyahoga: -10,087
2. Hamilton: -25,292—————————————2. Lucas: -3,249
3. Lucas: -23,401——————————————-3. Montgomery: -1,656
4. Montgomery: -16,752———————————-4. Hamilton: -1,533
5. Summit: -10,630—————————————–5. Stark: -1,232
6. Trumbull: -6,852—————————————–6. Trumbull: -923
7. Mahoning: -6,113—————————————7. Wayne: -897
8. Allen: -4,673———————————————–8. Allen: -618
9. Stark: -4,510———————————————-9. Richland: -613
10. Richland: -4,240—————————————-10. Columbiana: -528
11. Columbiana: -3,802————————————11. Portage: -425
12. Ashtabula: -3,779—————————————12. Ashtabula: -412
13. Scioto: -3,267——————————————–13. Lawrence: -392
14. Clark: -3,198———————————————14. Marion: -389
15. Portage: -2,797—————————————–15. Tuscarawas: -382

Top 15 Counties with the Most International Migration Census 2010-July 1, 2017 and July 1, 2016-July 1, 2017

Census 2010-July 1, 2017——————————–July 1, 2016-July 1, 2017
1. Franklin: +40,914—————————————1. Franklin: +6,584
2. Cuyahoga: +24,799————————————2. Cuyahoga: +3,961
3. Hamilton: +14,063————————————–3. Hamilton: +2,288
4. Montgomery: +7,418————————————4. Montgomery: +1,131
5. Summit: +7,132——————————————5. Summit: +1,101
6. Butler: +5,226——————————————–6. Butler: +839
7. Lorain: +3,810——————————————–7. Lorain: +641
8. Greene: +3,443——————————————8. Portage: +546
9. Portage: +3,281—————————————–9. Lucas: +539
10. Lucas: +3,247——————————————10. Warren: +499
11. Warren: +3,140—————————————-11. Greene: +473
12. Delaware: +2,178————————————-12. Delaware: +336
13. Athens: +2,081—————————————–13. Athens: +326
14. Mahoning: +1,917————————————-14. Mahoning: +326
15. Lake: +1,740——————————————–15. Lake: +314

Top 15 Counties with the Least International Migration Census 2010-July 1, 2017 and July 1, 2016-July 1, 2017

Census 2010-July 1, 2017——————————–July 1, 2016-July 1, 2017
1. Lawrence: -168——————————————1. Lawrence: -19
2. Belmont: -113——————————————–2. Belmont: -18
3. Jefferson: -108——————————————-3. Jefferson: -16
4. Columbiana: -44—————————————–4. Columbiana: -7
5. Williams: -40———————————————-5. Williams: -6
6. Brown: -39————————————————6. Brown: -4
7. Holmes: -16———————————————–7. Holmes: -3
8. Monroe: -5————————————————8. Monroe: -1
9. Vinton: -2————————————————–9. Van Wert: -1
10. Meigs: 0————————————————10. Harrison: 0
11. Trumbull: +2——————————————-11. Ottawa: 0
12. Harrison: +4——————————————-12. Vinton: 0
13. Adams: +7———————————————13. Meigs: +1
14. Van Wert: +10—————————————-14. Noble: +1
15. Noble: +10——————————————–15. Pike: +1
16. Morgan: +10

Top 15 Counties with the Most Net Migration Census 2010-July 1, 2017 and July 1, 2016-July 1, 2017

Census 2010-July 1, 2017——————————–July 1, 2016-July 1, 2017
1. Franklin: +59,184—————————————1. Franklin: +12,445
2. Delaware: +17,849————————————–2. Delaware: +2,682
3. Warren: +10,136—————————————-3. Warren: +1,831
4. Fairfield: +5,274—————————————–4. Fairfield: +1,686
5. Licking: +3,928——————————————5. Butler: +1,507
6. Lorain: +3,539——————————————–6. Greene: +1,236
7. Medina: +3,492——————————————-7. Licking: +1,225
8. Wood: +2,720———————————————8. Medina: +1,142
9. Butler: +2,527——————————————–9. Lake: +1,062
10. Union: +2,415—————————————–10. Lorain: +969
11. Greene: +2,038—————————————-11. Union: +952
12. Clermont: +1,975————————————-12. Hamilton: +755
13. Miami: +1,662——————————————-13. Madison: +679
14. Pickaway: +1,556————————————-14. Summit: +649
15. Athens: +1,285——————————————15. Clermont +609

Top 15 Counties with the Least Net Migration Census 2010-July 1, 2017 and July 1, 2016-July 1, 2017

Census 2010-July 1, 2017——————————–July 1, 2016-July 1, 2017
1. Cuyahoga: -40,873————————————1. Cuyahoga: -6,126
2. Lucas: -20,154——————————————2. Lucas: -2,710
3. Hamilton: -11,229————————————–3. Stark: -1,061
4. Montgomery: -9,334———————————–4. Trumbull: -918
5. Trumbull: -6,850—————————————-5. Wayne: -794
6. Allen: -4,504———————————————6. Allen: -596
7. Mahoning: -4,196————————————–7. Richland: -587
8. Richland: -4,087—————————————-8. Columbiana: -535
9. Columbiana: -3,846————————————9. Montgomery: -525
10. Summit: -3,496—————————————-10. Lawrence: -411
11. Stark: -3,408——————————————-11. Marion: -379
12. Ashtabula: -3,327————————————-12. Belmont: -341
13. Scioto: -3,064——————————————13. Ashtabula: -336
14. Clark: -3,032——————————————–14. Tuscarawas: -326
15. Huron: -2,359——————————————-15. Holmes: -319

So there you have it for counties.  Part 2 on Metro and CSAs will be coming soon!




The Recovery of Downtown vs Cleveland and Cincinnati Part #1- Update




**Updated with 2016 data, originally posted 2013.

Columbus’ downtown has seen many many changes, especially over the last decade. Developments like the Arena District, Columbus Commons, the Scioto Mile and more have brought new life to the area. Dozens of new restaurants have opened the past year or two alone, and a new grocery store will be opening for area residents in February. More developments coming up include the Scioto River restoration project that will create acres of new Downtown park space and pathways, and the redevelopment of the Scioto Peninsula behind COSI should connect the two sides of the river. All of this had led to rising population, now approaching 8,500. Nearly 3,000 residential units are currently under construction or planned. So the question I was wondering is how has population been changing not only in Columbus’ downtown, but in comparison to Cleveland and Cincinnati. Both of those cities have also seen major projects in their downtown cores and are seeing an uptick in their downtown populations.

First, I examined the 1950 city limits for all three cities. This was the last census year before sprawl really took hold and changed the city dynamics and growth patterns. 1950 is also when most cities in Ohio reached their peak urban population, so I thought it would be interesting to see how those old boundaries had changed over the years. I went to the US census website and began to look up all the census tracts that existed in each city in 1950. Those would represent my base area that I would use to see the changes in the city core. All of the 3-Cs have grown beyond those 1950 boundaries, especially Columbus, but these areas were the hardest hit when the urban decline came the last 50-60 years while the suburbs grew. The results are both sobering and hopeful.

1950 Boundary Population Change 1950-2016
Cincinnati: -224,119
Cleveland: -540,935
Columbus: -138,491

1950 Boundary Population Change 2010-2016
Cincinnati: +1,370
Cleveland: -7,028
Columbus: +2,637

1950 Boundary Population % Change 1950-2016
Cincinnati: -44.5%
Cleveland: -59.1.%
Columbus: -36.9%

1950 Boundary Population % Change 2010-2016
Cincinnati: +0.5%
Cleveland: -1.9%
Columbus: +1.1%

So what do these numbers show? Well, it’s clear that all 3 cities had urban core population declines the past 65+ years just like just about every other city in the nation did. This was mostly a result of the suburban movement.
In Cleveland, the rate of loss had gradually been slowing down since the 1970s, but suddenly skyrocketed again in the 2000s. I’m not sure what exactly caused this. The double recessions made it more difficult for people to move, so if anything, the losses should’ve not accelerated. Cleveland lost over 90,000 people in its urban core from 2000-2010, the highest lost by % and total of any Ohio city.
In Cincinnati, population loss had peaked in the 1970s and the rate of loss fell substantially the following decade. However, the past 2 decades have actually seen a gradual acceleration of losses. The 2000-2010 period saw the second biggest total loss for the urban core, but there has been a significant turnaround (if estimates are correct) and the city is seeing growth now.
For Columbus, it’s been the opposite picture. Like the other 2-Cs, losses peaked in the 1970s. Since then, the urban core losses have been in gradual decline. The 2000-2010 period had the smallest rate and total loss of any decade the past 65+ years, and since 2010, there has been net growth.

So interesting results, but these numbers don’t show any trends of what’s going on inside the 1950 boundaries, especially not the relatively small part that would be the downtowns. So let’s break the numbers down to the tract level.

# of Tracts in 1950*
Cincinnat: 107
Cleveland: 201
Columbus: 48

*The number of tracts changed from 1950 on as some were split or consolidated. This made it more complicated, but luckily the Census gives lists on how tracts changed over time, so one can figure out what tract became what and reasonably keep up with the same boundaries that existed in 1950.

So with this breakdown, we can see more of the trends within the 1950 boundaries. In Cincinnati, a long decline was followed by a recovery in 1990, only to have the next 20 years show an increasing decline. The 2010 census showed the fewest number of tracts growing on record. This is the worst performance of the 3-Cs. Cleveland also had a steep decline followed by a recovery, but it too declined more at the last census, but not nearly to the low point it reached in the 1970s and 1980s.

Meanwhile, Columbus also faced an initial steep decline and barely had any tracts growing during the 1970s. Since then, the trend has been up. The 16 growing tracts in 2010 were the highest since the 1940s. This is the best performance of the 3-Cs, and Columbus had the highest % of growing tracts in its core. Still, those 16 represent less than 1/3rd of the total tracts within the 1950 boundaries. However, in the case of all 3 cities, the 2010-2016 has greatly increased the number of growing tracts, again if we are to believe the Census estimates.




The Midwest Beat the South in Regional Domestic Migration in 2016

For years, if not decades, we’ve been hearing a familiar tale- that anyone and everyone is moving from the Midwest and Northeast to the South and West. This trend began during and after the collapse of Northern manufacturing, and as higher cost of living began to make the lower-cost South more attractive in particular. However, a lot of the South’s growth over the years- indeed a majority- never had anything to do with region-to-region migration. Instead, it was due largely to natural growth (births vs. deaths) and international migration, particularly from Central America. What received all the attention, though, was the belief that people were packing up and moving to the South from places like Ohio and other struggling Northern states. While that may have been true for a while, that is increasingly looking like it is no longer the case.

The Midwest, especially, has been derided as the region no one wants to live in. Despite its growing population approaching 66 million people, the common refrain was that its colder winters, flailing economies and questionable demographic future meant that it was simply a region being left behind by the booming Southern states.

Recently, the US Census released estimates for 2015-2016 geographic mobility, and they tell a very different story altogether.

First, let’s look at the total domestic migration moving to the Midwest from other regions.
South to Midwest: +309,000
West to Midwest: +72,000
Northeast to Midwest: +61,000
Total to Midwest: +442,000

And then compare that to the total that the Midwest sends to other regions.
Midwest to South: -254,000
Midwest to West: -224,000
Midwest to Northeast: -34,000
Total from Midwest: -512,000

Net difference by region.
Midwest vs. South: +55,000
Midwest vs. West: -152,000
Midwest vs. Northeast: +27,000
Total Net: -70,000

So while the Midwest is seeing and overall net domestic migration loss, it is entirely to the Western states.

This could just be an off year, as almost all recent years showed losses to the South, but then again, maybe not. The South has been in a boom for several decades now, and in that time, the region still lags the other 3 in almost every quality of life metric used. All booms end eventually, and the South’s 2 biggest perceived advantages, low cost of living and business-friendly climate, have been gradually eroding over time. As Census surveys show, people don’t actually move for a change in weather, so it’s the economic factors that are going to make the biggest impacts long-term. The Midwest now has many cities and several states that are doing well economically, including Columbus, and perhaps they are becoming more attractive than they have in many years. Time will tell, but last year, the narrative of an unattractive Midwest vs. South was at least temporarily shelved.

Franklin County Gentrification Trends 1990-2015




**Note: This was originally posted on March 8, 2016. However, the data went to 2014 rather than 2015 and I actually posted it without adding all the maps and other information intended.

I saw this post (http://www.citylab.com/housing/2016/03/mapping-the-resegregation-of-diverse-neighborhoods-in-4-us-cities/472086/) the other day about changing neighborhood demographics in certain cities, particularly when it comes to racial segregation and gentrification. Surprisingly, of all the maps and posts I’ve done on demographics, I hadn’t thought to do one like this. Well, now I have.

A bit of an explanation is needed for the color coding:
-For those categories marked “Steady”, the demographic listed has been the majority throughout the period, with little to no change of other demographics.
-For those mixed categories of one decline and one rise, it means that the majority demographic has declined at least 5 percentage points, while a secondary demographic has risen at least 5 percentage points.
-For the category of recent or steady integration, there are at least 2 demographics at 10% or more of the total population, as well as a 3rd demographic reaching at least 5% of the population.

A few things that stand out to me: The eastern half of the county is in much greater flux than the western half, and integration is respectable county-wide. These neighborhoods of demographic equilibrium are largely the result of increasing Hispanic and Asian populations, particularly on the Northeast and West Sides, as well as the Whitehall area. In the center core, almost all of the High Street corridor has remained Steady White, suggesting that other demographics have, so far, been unable to tap into the building boom along and adjacent to this corridor. One other thing I notice is that there are FAR more tracts with a growing black population than there are with a growing White population, suggesting that perhaps the idea of Whites moving into neighborhoods and displacing residents is not quite as big of an issue as some might believe.

Here are the integrated tracts by year, based the above criteria, and their racial breakdown.

Top 10 Tracts with the Highest White Population

1990
1. 7205: 99.6%
2. 98: 99.1%
3. 7207: 98.9%
4. 120, 9240: 98.8%
5. 7201, 7203, 80: 98.7%
6. 7922, 9440, 9752: 98.6%
7. 9751, 10601: 98.5%
8. 110, 8141, 8821, 9711, 9740: 98.4%
9. 9450, 9800: 98.3%
10. 6230, 7210: 98.2%
2015
1. 65: 98.7%
2. 6810: 97.4%
3. 6822, 9712: 97.0%
4. 98: 96.0%
5. 6721, 6950: 95.9%
6. 220: 95.8%
7. 9497: 95.6%
8. 66: 95.5%
9. 6330: 94.8%
10. 7394: 94.7%

Breakdown of # of Tracts by % of White Population
1990
95% or Higher: 80
90%-94.9%: 73
80%-89.9%: 64
70%-79.9%: 10
60%-69.9%: 11
50%-59.9%: 6
Total Majority White Tracts: 244
40%-49.9%: 7
30%-39.9%: 9
20%-29.9%: 5
10%-19.9%: 9
0.1%-9.9%: 9
0%: 0
Total Minority White Tracts: 39
2015
95% or Higher: 11
90%-94.9%: 35
80%-89.9%: 62
70%-79.9%: 52
60%-69.9%: 30
50%-59.9%: 19
Total Majority White Tracts: 209
40%-49.9%: 11
30%-39.9%: 17
20%-29.9%: 25
10%-19.9%: 15
0.1%-9.9%: 6
0%: 0
Total Minority White Tracts: 74

Top 10 Tracts with the Highest Black Population
1990
1. 730: 94.2%
2. 5420: 93.4%
3. 15, 28: 92.3%
4. 36: 91.8%
5. 5410: 91.4%
6. 7551: 91.1%
7. 7512: 90.9%
8. 23: 89.0%
9. 2520: 87.4%
10. 29: 87.2%
2015
1. 7512: 88.1%
2. 9337: 87.7%
3. 730: 84.9%
4. 7511: 83.6%
5. 23: 82.2%
6. 15: 81.9%
7. 55: 81.4%
8. 5420, 9332: 81.0%
9. 29: 80.9%
10. 8813: 79.1%

Breakdown of # of Tracts by % of Black Population
1990
95% or Higher: 0
90%-94.9%: 7
80%-89.9%: 10
70%-79.9%: 4
60%-69.9%: 8
50%-59.9%: 6
Total Majority Black Tracts: 35
40%-49.9%: 7
30%-39.9%: 10
20%-29.9%: 9
10%-19.9%: 32
0.1%-9.9%: 190
0%: 0
Total Minority Black Tracts: 248
2015
95% or Higher: 0
90%-94.9%: 0
80%-89.9%: 9
70%-79.9%: 8
60%-69.9%: 28
50%-59.9%: 9
Total Majority Black Tracts: 52
40%-49.9%: 20
30%-39.9%: 17
20%-29.9%: 24
10%-19.9%: 44
0.1%-9.9%: 126
0%: 0
Total Minority Black Tracts: 231

Top 10 Tracts with the Highest Asian Population
1990
1. 7820: 23.3%
2. 1122: 11.2%
3. 1110: 10.8%
4. 105: 9.0%
5. 1810: 8.2%
6. 6372: 7.6%
7. 6384: 7.3%
8. 1121: 7.2%
9. 6386: 6.9%
10. 6395: 6.8%
2015
1. 7820: 34.1%
2. 7721: 26.8%
3. 6230: 26.7%
4. 1122: 21.9%
5. 7830: 17.0%
6. 1110: 16.6%
7. 105: 16.2%
8. 6395: 15.5%
9. 6372: 15.3%
10. 6386: 14.9%

Breakdown of # of Tracts by % of Asian Population
1990
95% or Higher: 0
90%-94.9%: 0
80%-89.9%: 0
70%-79.9%: 0
60%-69.9%: 0
50%-59.9%: 0
Total Majority Asian Tracts: 0
40%-49.9%: 0
30%-39.9%: 0
20%-29.9%: 1
10%-19.9%: 2
0.1%-9.9%: 273
0%: 7
Total Minority Asian Tracts: 283
2015
95% or Higher: 0
90%-94.9%: 0
80%-89.9%: 0
70%-79.9%: 0
60%-69.9%: 0
50%-59.9%: 0
Total Majority Asian Tracts: 0
40%-49.9%: 0
30%-39.9%: 1
20%-29.9%: 4
10%-19.9%: 17
0.1%-9.9%: 215
0%: 46
Total Minority Asian Tracts: 283

Top 10 Tracts with the Highest Hispanic Population
1990
1. 7820: 2.9%
2. 1122, 7209: 2.5%
3. 1810, 30: 2.3%
4. 8163, 9323, 9336: 2.1%
5. 6352, 7830: 2.0%
6. 1110, 1121, 2750: 1.9%
7. 10, 32, 40, 42, 7533: 1.8%
8. 12, 17, 1901, 6353, 7041, 7199: 1.7%
9. 6, 1820, 6945, 7531, 7551, 7721, 9326, 99: 1.6%
10. 13, 2710, 6933, 7120, 7532, 8164, 8230, 8730, 103: 1.5%
2015
1. 8230: 39.3%
2. 8164: 28.7%
3. 8163: 26.4%
4. 26: 24.2%
5. 9321: 22.7%
6. 8210: 22.6%
7. 99: 21.4%
8. 9230: 21.0%
9. 7043: 19.8%
10. 6945: 18.9%

Breakdown of # of Tracts by % of Hispanic Population
1990
95% or Higher: 0
90%-94.9%: 0
80%-89.9%: 0
70%-79.9%: 0
60%-69.9%: 0
50%-59.9%: 0
Total Majority Hispanic Tracts: 0
40%-49.9%: 0
30%-39.9%: 0
20%-29.9%: 0
10%-19.9%: 0
0.1%-9.9%: 278
0%: 5
2015
95% or Higher: 0
90%-94.9%: 0
80%-89.9%: 0
70%-79.9%: 0
60%-69.9%: 0
50%-59.9%: 0
Total Majority Hispanic Tracts: 0
40%-49.9%: 0
30%-39.9%: 1
20%-29.9%: 7
10%-19.9%: 33
0.1%-9.9%: 241
0%: 9

Integrated Tracts By Year
1990: 2
2015: 98

Most Integrated Tract by Year
1990
1122: White: 76.6% Black: 9.6% Asian: 11.2% Hispanic: 2.5%
2015
7721: White: 33.9% Black: 31.2% Asian: 26.8% Hispanic: 10.1%

All in all, the data shows that the county is much less racially stratified/segregated now than it was in 1990, and that it doesn’t appear that gentrification is really affecting many areas in terms of forcing out one racial group for another.