2019 City Population Estimates



2019 city population estimates

The Census has just released 2019 city population estimates. These estimates are good for July 1, 2019. Let’s take a look at how Columbus compares to other cities in Ohio.

Ohio Top 30 Largest Cities by Rank
Census 2010————————————–July 1, 2019
1. Columbus: 787,033————————1. Columbus: 898,553
2. Cleveland: 396,815————————2. Cleveland: 381,009
3. Cincinnati: 296,943——————-—–3. Cincinnati: 303,940
4. Toledo: 287,208———————-——4. Toledo: 272,779
5. Akron: 199,110————————-—–5. Akron: 197,597
6. Dayton: 141,527—————————-6. Dayton: 140,407
7. Parma: 81,601—————————––7. Parma: 78,103
8. Canton: 73,007———————–——-8. Canton: 70,447
9. Youngstown: 66,982————————9. Youngstown: 65,469
10. Lorain: 64,097——————–———10. Lorain: 63,855
11. Hamilton: 62,477——————–——11. Hamilton: 62,082
12. Springfield: 60,608————————12. Springfield: 58,877
13. Kettering: 56,163————————-–13. Kettering: 54,855
14. Elyria: 54,533—————————-—14. Elyria: 53,757
15. Lakewood: 52,131———————––15. Newark: 50,315
16. Cuyahoga Falls: 49,652——————16. Lakewood: 49,678
17. Euclid: 48,920————————–—–17. Cuyahoga Falls: 49,106
18. Middletown: 48,694————————18. Dublin: 49,037
19. Mansfield: 47,821———————-—–19. Middletown: 48,807
20. Newark: 47,573————————–—-20. Beavercreek: 47,741
21. Mentor: 47,159—————————––21. Mentor: 47,262
22. Cleveland Heights: 46,121—————-22. Mansfield: 46,599
23. Beavercreek: 45,193——————–—-23. Euclid: 46,550
24. Strongsville: 44,750————————–24. Strongsville: 44,660
25. Fairfield: 42,510——————————25. Cleveland Heights: 43,992
26. Dublin: 41,751———————————26. Fairfield: 42,558
27. Warren: 41,557—————————-—-27. Grove City: 41,820
28. Findlay 41,202—————————–—-28. Delaware: 41,283
29. Lancaster: 38,780—————————–29. Findlay: 41,225
30. Lima: 38,771———————————–30. Westerville: 41,103

In 2010, 4 Columbus metro communities were in the top 30.  By last year, 6 were, with more poised to enter the list in the coming years.  This represents the Columbus region’s growing influence in the state and how its share of the state’s population continues to increase.

Top 30 Ohio Cities with the Highest Total Growth Census 2010 to July 1, 2019
1. Columbus: +111,520
2. Hilliard: +8,099
3. Dublin: +7,286
4. Cincinnati: +6,997
5. Delaware: +6,530
6. Grove City: +6,245
7. Westerville: +4,983
8. North Ridgeville: +4,927
9. Pickerington: +3,867
10. New Albany: +3,209
11. Mason: +3,158
12. Newark: +2,742
13. Marysville: +2,573
14. Beavercreek: +2,548
15. Wadsworth: +2,479
16. Reynoldsburg: +2,434
17. Gahanna: +2,235
18. Avon: +2,206
19. Harrison: +1,999
20. Sunbury: +1,978
21. Avon Lake: +1,923
22. Powell: +1,875
23. Grandview Heights: +1,797
24. Oxford: +1,739
25. Lancaster: +1,725
26. Canal Winchester: +1,717
27. Upper Arlington: +1,595
28. Monroe: +1,573
29. Fairborn: +1,524
30. Springboro: +1,522

The Columbus Metro had 18 of the top 30, including 8 of the top 10.



Top 30 Ohio Cites with the Highest Total Growth July 1, 2018 to July 1, 2019
1. Columbus: +7,684
2. Cincinnati: +1,663
3. Delaware: +1,356
4. Pickerington: +932
5. Westerville: +771
6. Youngstown: +609
7. North Ridgeville: +580
8. Sunbury: +483
9. Marysville: +471
10. Dublin: +443
11. Beavercreek: +415
12. Warren: +381
13. Newark: +314
14. Wadsworth: +291
15. Mason: +290
16. Harrison: +274
17. Grove City: +247
18. Oxford: +239
19. Miamisburg: +231
20. Troy: +229
21. Canal Winchester: +220
22. Xenia: +219
23. Cedarville: +209
24. Hilliard: +201
25. Fairborn: +182
26. Piqua: +182
27. Avon: +170
28. Plain City: +168
29. Aurora: +157
30. Springboro: +157

2018 to 2019, Columbus had 12 cities in the top 30, a lower number than the average of the decade. This is not necessarily indicating a slowdown in growth within the metro, however. The final year before a decennial census, population estimates tend to be used for final adjustments. This means that if a city is thought to have been estimated too high or too low through the decade, the final estimate year is adjusted accordingly and not necessarily according to true growth. The point of estimates is to get a snapshot of the population at the time of the estimate, but they are constantly being changed every time a new estimate comes out. This usually leaves the final estimate year as showing the slowest growth. This was true for 2008-2009 as well.

Finally, here is every Columbus Metro community ranked and the population change 2010-2019.
1. Columbus: 898,533 +111,520
2. Newark: 50,315 +2,742
3. Dublin: 49,037 +7,286
4. Grove City: 41,820 +6,245
5. Delaware: 41,283 +6,530
6. Westerville: 41,103 +4,983
7. Lancaster: 40,505 +1,725
8. Reynoldsburg: 38,327 +2,434
9. Hilliard: 36,534 +8,099
10. Gahanna: 35,483 +2,235
11. Upper Arlington: 35,366 +1,595
12. Marysville: 24,667 +2,573
13. Pickerington: 22,158 +3,867
14. Whitehall: 18,926 +864
15. Pataskala: 15,883 +921
16. Worthington: 14,692 +1,117
17. Circleville: 14,050 +736
18. Bexley: 13,770 +713
19. Powell: 13,375 +1,875
20. New Albany: 10,933 +3,209
21. Heath: 10,942 +632
22. London: 10,328 +424
23. Canal Winchester: 8,818 +1,717
24. Grandview Heights: 8,333 +1,797
25. Logan: 7,020 -132
26. Sunbury: 6,367 +1,978
27. Granville: 5,916 +270
28. Groveport: 5,621 +258
29. Obetz: 5,196 +664
30. Johnstown: 5,098 +466
31. New Lexington: 4,671 -60
32. Plain City: 4,586 +361
33. West Jefferson: 4,431 +209
34. Ashville: 4,385 +288
35. Baltimore: 3,004 +38
36. Buckeye Lake: 2,871 +125
37. Crooksville: 2,482 -52
38. Richwood: 2,480 +251
39. Hebron: 2,477 +141
40. Utica: 2,260 +128
41. Cardington: 2,071 +24
42. South Bloomfield: 1,979 +235
43. Roseville: 1,839 -13
44. Lithopolis: 1,796 +690
45. Mount Sterling: 1,793 +11
46. Commercial Point: 1,679 +97
47. Ashley: 1,608 +278
48. Somerset: 1,455 -26
49. Bremen: 1,452 +27
50. Minerva Park: 1,321 +49
51. Hanover: 1,204 +283
52. Millersport: 1,074 +30
53. Williamsport: 1,074 +51
54. Thornville: 1,008 +17
55. Urbancrest: 993 +33
56. Pleasantville: 959 -1
57. Milford Center: 902 +110
58. New Holland: 851 +50
59. Shawnee Hills: 820 +139
60. Junction City: 805 -14
61. Ostrander: 749 +106
62. Galena: 742 +89
63. Amanda: 738 +1
64. Marble Cliff: 732 +159
65. New Straitsville: 710 -12
66. Shawnee: 642 -13
67. Valleyview: 638 +18
68. Thurston: 604 +0
69. Corning: 568 -15
70. Buchtel: 567 +9
71. Carroll: 566 +42
72. Riverlea: 565 +20
73. Stoutsvlle: 565: +5
74. Kirkersville: 552 +27
75. Alexandria: 542 +25
76. Laurelville: 503 -24
77. Edison: 443 +6
78. Murray City: 435 -14
79. Sugar Grove: 426 +0
80. Hartford: 410 +13
81. St. Louisville: 386 +13
82. South Solon: 364 +9
83. Harrisburg: 341 +21
84. Marengo: 341 -1
85. Midway: 328 +1
86. Rushville: 309 +7
87. Magnetic Springs: 298 +30
88. Tarlton: 290 +8
89. Orient: 277 -1
90. Fulton: 255 -3
91. Lockbourne: 249 +12
92. Chesterville: 232 +4
93. Darbyville: 229 +7
94. Unionville Center: 229 -4
95. Gratiot: 220 -1
96. Glenford: 169 -4
97. Sparta: 160 -1
98. Hemlock: 152 -3
99. West Rushville: 143 +9
100. Brice: 120 +6
101. Rendville: 36 +0

Out of the 101 communities of any size in the Metro, 81 of them have either steady populations or estimated growth since 2010. Most of the 20 that have shown declines are very small communities in the Appalachia counties of Perry and Hocking, the furthest removed from Columbus’ influence.



1962 Predictions of a Future Columbus Ohio and World



Back in 1962 on Columbus’ 150th anniversary, local politicians, educators and industry leaders were interviewed by the Columbus Dispatch on what they thought the future might look like. The predictions were made for the year 2000, but even 20 years past that date, many of the predictions have proven wildly inaccurate… and a few that have surprisingly come true. Let’s look back on the 1962 predictions to see just which ones proved prescient and which ones flopped.

1962 predictions for Columbus

How Columbus was supposed to look in 1992.

Growth, Population and Demographics
Prediction: The city would have a population of 1.5 million in 2000 with 2.2 million in Franklin County.
Result: In 2000, the city had less than half the prediction, with just 711.5K and roughly 900K today. The county had 1.069 million in 2000 and 1.318 million today. Both are a far cry from the 1962 predictions, despite relatively strong growth since then, especially by Ohio standards.
Prediction: Columbus and Franklin County would be merged and operated under a single government.
Result: While there have been proposals for this going back to the 1930s, it has never happened and isn’t seriously under consideration today.

Infrastructure Predictions
Prediction: Downtown would have “grass-bordered pedestrian parks with auto traffic running underground”.
Result: While several new parks have been created over the years in and around Downtown, the only significant tunnels built under the city have been for sewage and water.

Prediction: Downtown’s streets would be multi-level, with elevated decks for pedestrians, and cars travelling on lower decks.
Result: There are currently no elevated or multi-level roadways. If anything, an increasing number of such structures are being torn down nationally.

Prediction: Renovation of the Scioto River levees in 1962 would allow for new recreation and parks along the river.
Result: Any infrastructure improvements along the river at the time made little impact on the overall use of the Scioto. It took another 50 years with the development of the Scioto Mile and the Scioto Greenways to significantly alter how Columbus residents interacted with the riverfront- ironically redevelopment that included the removal of a dam.

Prediction: Instead of walking, electronic sidewalks would move people around.
Result: Technically, these already existed at the time in the form of escalators, and while they haven’t proliferated around cities, people-moving sidewalks of a sort are now common at airports in long corridors, though not in Columbus’ single-terminal airport.

Prediction: Cars would be under the control of cables buried under streets instead of drivers.
Result: While no cable system exists, autonomous vehicles are now a thing and Columbus has at least one autonomous shuttle currently operating in Linden.

Prediction: The Ohio Penitentiary would be replaced by an office complex.
Result: The Pen closed in the 1980s and was demolished in the late 1990s for the development of the Arena District. While there is some office space, the AD is a far greater development than envisioned in 1962.

Prediction: Union Station would be used as a transit hub for a monorail, bus and helicopter transit system.
Result: Union Station was torn down in 1976 to build the convention center after much controversy. There is currently no multi-modal transit hub in the city, despite numerous attempts to build one over the years. The city still only has a bus system.

Prediction: High-rise apartment buildings would go up along the edges of Downtown.
Result: Only a handful of legitimate high-rise apartment buildings have gone up since 1962 Downtown, including Miranova, North Bank Condos and Waterford Tower. A few more are in the works, though none are really planed for the “edges” of Downtown.

Prediction: Products and people would be shipped across the country by rocket ships.
Result: Rocket ships didn’t happen, but there are proposals for a super-fast system of transit. The closest example would be the Hyperloop, which is currently under testing and with which Columbus could one day be a beneficiary.

Prediction: Big Darby Creek would be dammed by at least 2 structures to provide water for the city and as flood control, with a new water purification plant built along its banks.
Result: Thankfully, this didn’t happen, as the Big Darby watershed is one of the most pristine in Ohio. Instead, it has been expanding as one of Columbus’ largest MetroParks- Battelle-Darby Metro Park- currently encompassing more than 7,000 acres.

Health and Safety
Prediction: Organ transplants would be possible and common, with many made of plastic.
Result: While organ transplants are indeed common now, they are largely just the flesh and blood type.

Prediction: “Irradiated” food would allow the “housewife’s chores” to be “revolutionized, preparing meals weeks in advance.
Result: This one, of course, didn’t happen and is an obvious example of the 1960s limited imagination of a what a woman’s role in society could be or would end up becoming.



Culture and Entertainment
Prediction: Instead of washing machines, people would use “sound waves” to clean clothing as it hung in home closets.
Result: Unfortunately, doing laundry the old-fashioned way is still in our present and future.

Prediction: Clothing would be made out of paper and be thrown away after single-use.
Result: I’m not even sure how this would be possible or practical.

Prediction: The use of “magnetically inscribed cards…read by electronic cash registers” would be used for purchases.
Result: Credit and debit cards are now just as popular, if not moreso, than paper money.

Prediction: Schools would operate year-round.
Result: While a year-round school year has been toyed with over the last 50 years, there are very few districts that have switched to it.

Prediction: Movies could be rented for personal use, and televsions could provide commercial free programs to individual households.
Result: Movie rentals did happen with the invention of the VCR and DVD player. The second part of the prediction is basically describing a streaming service like Netflix, which has killed the rental market.

Another imagined view of Columbus by 2000. Notice that only LeVeque Tower and the Statehouse remain recognizeable, showing obvious atttudes towards historic preservation at the time.

Out-There Predictions
Prediction: Columbus would have its first resident visit the moon.
Result: Ohio has seen several astronauts, a few of which did end up making it to the moon, but no Columbus residents to date have been there.

Prediction: People would be able to read minds with “electronic gadgets”.
Result: While no actual mind reading exists today, the study and understanding of human behavior, and therefore predictions of it, have come a long way.

Prediction: Interplanetary travel would be in its early years and “colonists” would be travelling regularly to Mars and Venus.
Result: There is some truth to this as there are plans to venture to Mars, as well as experimental technology in development that could allow us to travel to other stars and planetary systems someday.  Unmanned probes have been getting closeup looks at other planets for decades. However, no one is going to Venus, which we now know is an incredibly hostile place where no human could ever visit, let alone live.

Planners had many grand ideas in 1962, but they were definitely a product of the times. The city they imagined was full of the bright and shiny hope of the Space Age, with everything old and natural swept away for a Jetsons future. Technology has advanced in ways that they saw coming decades before it happened, but in many ways they never could have imagined. They didn’t imagine, however, the consequences of all that technology and highways and consumption and how we’d still be cleaning up the mess from those mistakes. Not to mention making new ones along the way.

The future we face today perhaps doesn’t have the same irrational, aspirational hope of the 1960s, but there is still hope. We face some of the gravest threats of our existance, with many of them of our own making. We have the capacity and ability to solve them, however, and to have a future every bit as bright as the one imagined almost 60 years ago. This is true perhaps in ways that we too could never have imagined.



Winter 2019-2020 Review



Winter 2019-2020 Review Columbus, Ohio

The Winter 2019-2020 Review has arrived! Aside some a few instances, winter was largely absent in Ohio for the 2019-2020 season. The season was bookended by periods of cold while the heart of winter was one of the warmest on record. Along with the warmth, precipitation was high throughout the season, but that didn’t translate into much snow.

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: 43.5 11th Warmest
Average Low: 28.3 9th Warmest
Mean: 35.9 10th Warmest
Precipitation: 9.69″ 29th Wettest
Snowfall: 8.3″ 16th Least Snowiest
Average Daily Snow Depth: 0.1″ 2nd Lowest
Largest Snowstorm: 2.2″ December 15th-16th
32 or Below Highs: 12 6th Fewest
32 or Below Lows: 65 13th Fewest
Measurable Precipitation Days: 34 10th Fewest
Measurable Snowfall Days: 13 9th Fewest
Deepest Snow Depth: 2″ on February 9th
Days with 1″+ Snow Depth: 5 3rd Fewest

Entire Cold Season- October-April
Average High: 51.9 10th Warmest
Average Low: 34.1 17th Warmest
Mean: 43.0 11th Warmest
Precipitation: 27.60″ 6th Wettest
Snowfall: 11.7″ 18th Least Snowiest
Average Snow Depth: 0.1″ 2nd Lowest
Largest Snowstorm: 2.8″ November 11th-12th
32 or Below Highs: 14 4th Fewest
32 or Below Lows: 98 17th Fewest
Measurable Precipitation Days: 87 18th Most
Measurable Snowfall Days: 16 7th Fewest
Deepest Snow Depth: 2″ on February 9th
Days with 1″+ Snow Depth: 8 5th Fewest

Average High By Month
October 2019: 69.8 13th Warmest
November 2019: 47.3 21st Coldest
December 2019: 45.9 12th Warmest
January 2020: 43.3 16th Warmest
February 2020: 41.2 35th Warmest
March 2020: 55.4 18th Warmest
April 2020: 59.6 21st Coldest

Average Low By Month
October 2019: 47.0 26th Warmest
November 2019: 30.3 9th Coldest
December 2019: 28.8 28th Warmest
January 2020: 30.1 8th Warmest
February 2020: 25.9 35th Warmest
March 2020: 37.6 13th Warmest
April 2020: 38.7 16th Coldest

Mean By Month
October 2019: 58.4 18th Warmest
November 2019: 38.8 12th Coldest
December 2019: 37.4 18th Warmest
January 2020: 36.7 13th Warmest
February 2020: 33.6 38th Warmest
March 2020: 46.5 13th Warmest
April 2020: 49.2 23rd Coldest

The 2019-2020 winter months were full of extremes, and most months ended up in either the top 20 coldest or warmest ever recorded.



Precipitation By Month
October 2019: 4.05″ 19th Wettest
November 2019: 1.48″ 24th Driest
December 2019: 2.76″ 62nd Wettest
January 2020: 4.37″ 25th Wettest
February 2020: 2.56″ 54th Wettest
March 2020: 8.16″ 2nd Wettest
April 2020: 4.22″ 32nd Wettest

Snowfall By Month
October 2019: Trace 2nd Least Snowiest
November 2019: 2.8″ 22nd Snowiest
December 2019: 2.3″ 23rd Least Snowiest
January 2020: 0.3″ 3rd Least Snowiest
February 2020: 5.7″ 47th Snowiest
March 2020: 0.6″ 5th Least Snowiest
April 2020: Trace 2nd Least Snowiest

As with temperature, precipitation and snowfall varied wildly as well, but generally most months were wetter than normal and less snowy than normal.

Average Snow Depth By Month
October 2019: 0.0″
November 2019: 0.2″
December 2019: 0.1″
January 2020: Trace
February 2020: 0.2″
March 2020: Trace
April 2020: 0.0″

Maximum High By Month
October: 94 on the 1st and 2nd
November: 59 on the 27th
December: 62 on the 27th
January: 71 on the 11th
February: 63 on the 3rd
March: 76 on the 28th
April: 77 on the 7th

Maximum High Records
-The 94 on October 1st was a record for the date, beating the old record of 89 set in 1952. This is also the warmest October temperature ever recorded, beating the old October record of 91 set in 2007.
-The 94 on October 2nd was a record for the date, beating the old record of 88 set in 1919. This also ties for the warmest October temperature ever, set on October 1st, 2019, the previous day.
-The 93 on October 3rd was a record for the date, beating the old record of 89 set in 1898 and 1953.
-The 71 on January 11th was a record for the date, beating the old record of 66 set in 1886 and 1890.
-The 63 on February 3rd tied the old record set in 1890.

Minimum High By Month
October: 55 on the 12th
November: 28 on the 12th and 13th
December: 29 on the 18th
January: 28 on the 20th
February: 24 on the 14th
March: 38 on the 21st
April: 45 on the 10th

Minimum High Records
-The 28 on the 12th was a record for the date, beating the old record of 30 set in 1920.

Maximum Low By Month
October: 68 on the 2nd
November: 39 on the 21st and 27th
December: 47 on the 9th and 29th
January: 53 on the 11th
February: 39 on the 25th
March: 55 on the 29th
April: 53 on the 8th

Maximum Low Records
-The 45 on January 10th was a record for the date, beating the old record of 43 set in 1960.

Minimum Low By Month
October: 35 on the 31st
November: 11 on the 13th
December: 13 on the 19th
January: 12 on the 20th
February: 13 on the 15th and 21st
March: 19 on the 1st
April: 26 on the 16th

Minimum Low Records
-The 15 on November 12th was a record for the date, beating the old record of 16 set in 1911.
-The 11 on November 13th was a record for the date, beating the old record of 14 set in 1911.

Highest Daily Precipitation By Month
October: 1.51″ on the 31st
November: 0.33″ on the 27th
December: 1.20″ on the 29th
January: 1.13″ on the 18th
February: 0.57″ on the 12th
March: 2.89″ on the 20th
April: 0.66″ on the 7th

Precipitation Records
-The 1.51″ on October 31st was a record for the date, beating the old record of 1.44″ set in 1932.
-The 1.20″ on December 29th was a record for the date, beating the old record of 1.13″ set in 1915.
-The 1.13″ on January 18th was a record for the date, beating the old record of 0.79″ set in 1927.
-The 1.31″ on March 4th was a record for the date, beating the old record of 0.74″ set in 1951.
-The 2.89″ that fell on March 20th was a record for the date, beating the old record of 1.60″ set in 1984.

Highest Daily Snowfall By Month
October: Trace on the 31st
November: 2.1″ on the 12th
December: 1.5″ on the 15th
January: 0.2″ on the 25th
February: 1.8″ on the 8th
March: 0.6″ on the 14th
April: Trace on the 15th and 17th

Snowfall Records
-The 2.1″ on November 11th was a record for the date, beating the old record of 0.5″ set in 1983.

Deepest Snow Depth By Month
October: 0″
November: 3″ on the 12th
December: 2″ on the 16th
January: Trace on the 19th and 20th
February: 2″ on the 29th
March: Trace on the 15th
April: 0″

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

Other Recent Winter Season Reviews
Winter 2018-2019
Winter 2017-2018
Winter 2016-2017



2019 Metro Population Estimates



2019 metro population estimates

The Census has released 2019 metro population estimates. This comparison uses those figures to rank the Columbus metro with other metros under the following categories:
Ohio metros with at least 250,000 people.
Midwest metros with at least 500,000 people.
National metros with 1.5-2.599 million people.

Total Metro Area Population Census 2010, July 1, 2018 and July 1, 2019
Census 2010——————————-July 1, 2018————————July 1, 2019

1. Chicago, IL: 9,461,105————-1. Chicago: 9,484,158———–1. Chicago: 9,458,539
2. Detroit, MI: 4,296,250—————2. Detroit: 4,322,084————-2. Detroit: 4,319,629
3. Minneapolis, MN: 3,348,8459—-3. Minneapolis: 3,610,061–3. Minneapolis: 3,640,043
4. St. Louis, MO: 2,787,701———-4. St. Louis: 2,803,958———4. St. Louis: 2,803,228
5. Pittsburgh, PA: 2,356,285——5. San Antonio: 2,512,379—5. San Antonio: 2,550,960
6. San Juan, PR: 2,350,126———-6. Portland: 2,473,350———6. Portland: 2,492,412
7. Portland, OR: 2,226,009——-7. Sacramento: 2,341,940—–7. Sacramento: 2,363,730
8. Sacramento, CA: 2,149,127—–8. Pittsburgh: 2,322,653——–8. Pittsburgh: 2,317,600
9. San Antonio, TX: 2,142,516—–9. Las Vegas: 2,226,115——-9. Las Vegas: 2,266,715
10. Cincinnati: 2,114,580———–10. Cincinnati: 2,211,936——-10. Austin: 2,227,083
11. Cleveland: 2,077,240———–11. Austin: 2,165,497———–11. Cincinnati: 2,221,208
12. Kansas City, MO: 2,009,342-12. Kansas City: 2,144,427–12. Kanas City: 2,157,990
13. Las Vegas, NV: 1,951,269—–13. Columbus: 2,104,194—–13. Columbus: 2,122,271
14. Columbus: 1,901,974——-14. Cleveland: 2,053,795—–14. Indianapolis: 2,074,537
15. Indianapolis, IN: 1,887,877—15. Indianapolis: 2,052,368—15. Cleveland: 2,048,449
16. San Jose, CA: 1,836,911—16. San Juan: 2,022,139———16. San Juan: 2,023,227
17. Austin, TX: 1,716,289————17. San Jose: 1,993,804—–17. San Jose: 1,990,660
18. Virginia Beach, VA: 1,676,822—18. Nashville: 1,904,726—18. Nashville: 1,934,317
19. Nashville: 1,670,890—19. Virginia Beach: 1,763,713–19. Virginia Beach: 1,768,901
20. Providence, RI: 1,600,852—-20. Providence: 1,622,379—20. Providence: 1,624,578
21. Milwaukee, WI: 1,555,908—–21. Milwaukee: 1,573,995—21. Milwaukee: 1,575,179
22. Jacksonville, FL: 1,345,596-22. Jacksonville: 1,532,663–22. Jacksonville: 1,559,514
23. Grand Rapids: 988,938–23. Grand Rapids: 1,071,370-23. Grand Rapids: 1,077,370
24. Omaha, NE: 865,350————–24. Omaha: 940,970—-24. Omaha: 949,442
25. Dayton: 799,232——————–25. Dayton: 805,088—–25. Dayton: 807,611
26. Akron: 703,200———————26. Akron: 703,855——–26. Akron: 703,479
27. Wichita, KS: 630,919————27. Des Moines: 690,915—27. Des Moines: 699,292
28. Toledo: 610,001——————28.Madison: 659,927——–28. Madison: 664,865
29. Madison, WI: 605,435———–29. Toledo: 643,089——–29. Toledo: 641,816
30. Des Moines, IA: 569,633——-30. Wichita: 637,519——30. Wichita: 640,218
31. Youngstown: 565,773———–31. Lansing: 548,674—–31. Lansing: 550,391
32. Lansing, MI: 534,684————32. Youngstown: 538,226—32. Youngstown: 536,081
33. Canton: 404,422——————33. Canton: 401,165—-33. Canton: 399,927

Charlotte and Orlando metros, previous national peers, have grown past the population standard limit of 2.599 million and are no longer used. Lansing and San Juan have been added.

Metro Area Total Growth Census 2010-July 1, 2019 and July 1, 2018-July 1, 2019
Census 2010-July 1, 2019—————————–July 1, 2018-July 1, 2019

1. Austin: +510,794————————————–1. Austin: +61,586
2. San Antonio: +408,452——————————2. Las Vegas: +40,600
3. Las Vegas: +315,446——————————–3. San Antonio: +38,581
4. Minneapolis: +306,410——————————4. Minneapolis: +29,982
5. Nashville: +288,117———————————-5. Nashville: +29,591
6. Portland: +266,403———————————–6. Jacksonville: +26,851
7. Columbus: +220,297——————————–7. Indianapolis: +22,169
8. Sacramento: +214,603——————————8. Sacramento: +21,790
9. Jacksonville: +213,918——————————9. Portland: +19,062
10. Indianapolis: +186,660—————————-10. Columbus: +18,077
11. San Jose: +153,749——————————–11. Kansas City: +13,563
12. Kansas City: +148,648—————————–12. Cincinnati: +9,272
13. Des Moines: +92,817——————————-13. Omaha: +8,472
14. Omaha: +84,092————————————-14. Des Moines: +8,377
15. Grand Rapids: +83,700—————————–15. Grand Rapids: +6,000
16. Cincinnati: +83,541———————————-16. Virginia Beach: +5,188
17. Madison: +59,430————————————17. Madison: +4,938
18. Virginia Beach: +54,947—————————-18. Wichita: +2,699
19. Providence: +23,726——————————–19. Dayton: +2,523
20. Detroit: +23,379—————————————20. Providence: +2,199
21. Milwaukee: +19,271———————————21. Lansing: +1,717
22. Wichita: +17,157————————————-22. Milwaukee: +1,184
23. Lansing: +15,707————————————23. San Juan: +1,088
24. St. Louis: +15,527———————————–24. Akron: -376
25. Dayton: +8,379—————————————25. St. Louis: -730
26. Akron: +279——————————————-26. Canton: -810
27. Chicago: -2,566————————————–27. Toledo: -1,273
28. Canton: -6,902—————————————28. Youngstown: -2,45
29. Toledo: -9,613—————————————-29. Detroit: -2,455
30. Cleveland: -28,791———————————-30. San Jose: -3,144
31. Youngstown: -29,692——————————-31. Pittsburgh: -5,053
32. Pittsburgh: -36,685———————————32. Cleveland: -5,346
33. San Juan: -326,899——————————–33. Chicago: -25,619



Now let’s look at the components of population change for metro areas.

Total Births By Metro Census 2010-July 1, 2019 and July 1, 2018-July 1, 2019
Census 2010-July 1, 2019———————–July 1, 2018-July 1, 2019

1. Chicago: 1,085,985——————————-1. Chicago: 108,425
2. Detroit: 462,696————————————2. Detroit: 48,879
3. Minneapolis: 419,634—————————–3. Minneapolis: 44,602
4. St. Louis: 310,273———————————4. San Antonio: 32,592
5. San Antonio: 300,032—————————-5. St. Louis: 31,686
6. Kansas City: 253,384—————————-6. Columbus: 27,096
7. Cincinnati: 253,180——————————-7. Las Vegas: 27,048
8. Portland: 253,110———————————8. Cincinnati: 26,892
9. Sacramento: 252,144—————————9. Sacramento: 26,752
10. Columbus: 251,291—————————10. Kanas City: 26,497
11. Las Vegas: 247,787—————————11. Indianapolis: 26,300
12. Indianapolis: 246,099————————-12. Portland: 26,204
13. Austin: 239,673———————————13. Austin: 26,115
14. San Jose: 220,891—————————–14. Nashville: 24,308
15. Pittsburgh: 218,159—————————-15. Pittsburgh: 22,570
16. Nashville: 216,969—————————–16. San Jose: 22,487
17. Cleveland: 212,523—————————-17. Cleveland: 22,003
18. Virginia Beach: 209,617———————-18. Virginia Beach: 21,589
19. Milwaukee: 182,815—————————19. Milwaukee: 18,927
20. Jacksonville: 167,526————————-20. Jacksonville: 18,592
21. Providence: 152,794————————–21. Providence: 16,182
22. Grand Rapids: 125,556———————-22. Grand Rapids: 13,339
23. Omaha: 122,306——————————23. Omaha: 12,848
24. Dayton: 88,783——————————–24. Dayton: 9,391
25. Des Moines: 85,530————————–25. Des Moines: 9,311
26. Wichita: 81,503——————————–26. Wichita: 8,057
27. Toledo: 71,848———————————27. Toledo: 7,428
28. Akron: 69,159———————————-28. Akron: 7,196
29. Madison: 67,559——————————29. Madison: 6,988
30. Lansing: 54,679——————————-30. Lansing: 5,702
31. Youngstown: 51,745————————-31. Youngstown: 5,450
32. Canton: 40,730——————————–32. Canton: 4,254

Components of change stats are not available for San Juan.

Total Deaths By Metro Census 2010-July 1, 2019 and July 1, 2018-July 1, 2019
Census 2010-July 1, 2019———————————July 1, 2018-July 1, 2019

1. Chicago: -647,739——————————————-1. Chicago: -74,501
2. Detroit: -377,943———————————————2. Detroit: -42,151
3. Pittsburgh: -253,686—————————————-3. St. Louis: -27,669
4. St. Louis: -241,884——————————————4. Pittsburgh: -27,387
5. Minneapolis: -210,510————————————-5. Minneapolis: -24,290
6. Cleveland: -198,044—————————————-6. Cleveland: -21,464
7. Cincinnati: -179,563—————————————-7. Cincinnati: -20,279
8. Sacramento: -157,234————————————-8. Sacramento: -18,933
9. Portland: -156,592——————————————9. San Antonio: -18,551
10. Kansas City: -155,166———————————–10. Portland: -18,458
11. San Antonio: -153,339———————————–11. Las Vegas: -17,919
12. Indianapolis: -148,608———————————–12. Kansas City: -17,692
13. Columbus: -142,665————————————–13. Columbus: -16,704
14. Las Vegas: -142,415————————————-14. Indianapolis: -16,678
15. Providence: -139,006————————————15. Virginia Beach: -15,280
16. Virginia Beach: -131,065——————————–16. Providence: -15,189
17. Nashville: -128,228—————————————17. Nashville: -15,122
18. Milwaukee: -123,806————————————-18. Jacksonville: -14,089
19. Jacksonville: -114,660———————————–19. Milwaukee: -13,810
20. San Jose: -94,587—————————————-20. San Jose: -11,582
21. Austin: -89,867——————————————–21. Austin: -11,445
22. Dayton: -77,893——————————————-22. Dayton: -8,506
23. Grand Rapids: -69,869———————————-23. Grand Rapids: -7,947
24. Akron: -65,852——————————————–24. Akron: -7,196
25. Youngstown: -64,558————————————25. Omaha: -6,931
26. Omaha: -62,030——————————————26. Youngstown: -6,842
27. Toledo: -59,436——————————————-27. Toledo: -6,624
28. Wichita: -51,734——————————————28. Wichita: 5,732
29. Des Moines: -44,857————————————29. Des Moines: 5,175
30. Canton: -41,233——————————————30. Lansing: -4,577
31. Lansing: -40,586—————————————–31. Madison: -4,453
32. Madison: -39,499—————————————-32. Canton: -4,395

Total Net Natural Change (Births vs. Deaths) By Metro Census 2010-July 1, 2019 and July 1, 2018-July 1, 2019
Census 2010-July 1, 2019———————————July 1, 2018-July 1, 2019

1. Chicago: 438,246———————————————1. Chicago: 33,924
2. Minneapolis: 209,124—————————————-2. Minneapolis: 20,312
3. Austin: 149,806———————————————–3. Austin: 14,670
4. San Antonio: 146,693—————————————4. San Antonio: 14,041
5. San Jose: 126,304——————————————-5. San Jose: 10,905
6. Columbus: 108,626——————————————6. Columbus: 10,392
7. Las Vegas: 105,372—————————————–7. Indianapolis: 9,622
8. Kansas City: 98,218—————————————–8. Nashville: 9,186
9. Indianapolis: 97,491—————————————–9. Las Vegas: 9,129
10. Portland: 96,518——————————————-10. Kansas City: 8,805
11. Sacramento: 94,910————————————–11. Sacramento: 7,819
12. Nashville: 88,741——————————————12. Portland: 7,746
13. Detroit: 84,753———————————————-13. Detroit: 6,728
14. Virginia Beach: 78,552———————————–14. Cincinnati: 6,613
15. Cincinnati: 73,617—————————————–15. Virginia Beach: 6,309
16. St. Louis: 68,389——————————————-16. Omaha: 5,917
17. Omaha: 60,276———————————————17. Grand Rapids: 5,392
18. Milwaukee: 59,009—————————————–18. Milwaukee: 5,117
19. Grand Rapids: 55,687————————————19. Jacksonville: 4,503
20. Jacksonville: 52,866————————————–20. Des Moines: 4,136
21. Des Moines: 40,673————————————–21. St. Louis: 4,017
22. Wichita: 29,769——————————————–22. Madison: 2,535
23. Madison: 28,060——————————————23. Wichita: 2,325
24. Cleveland: 14,479—————————————-24. Lansing: 1,125
25. Lansing: 14,093——————————————25. Providence: 993
26. Providence: 13,788————————————–26. Dayton: 885
27. Toledo: 12,412——————————————–27. Toledo: 804
28. Dayton: 10,890——————————————-28. Cleveland: 539
29. Akron: 3,307———————————————-29. Akron: 0
30. Canton: -503———————————————-30. Canton: -141
31. Youngstown: -12,813———————————–31. Youngstown: -1,392
32. Pittsburgh: -35,527————————————–32. Pittsburgh: -4,817

Total Domestic Migration By Metro Census 2010-July 1, 2019 and July 1, 2018-July 1, 2019
Census 2010-July 1, 2019———————————July 1, 2018-July 1, 2019

1. Austin: 293,162———————————————–1. Austin: 41,334
2. San Antonio; 214,509—————————————2. Las Vegas: 31,643
3. Las Vegas: 185,570—————————————–3. San Antonio: 21,987
4. Nashville: 158,336——————————————-4. Jacksonville: 20,051
5. Jacksonville: 126,483—————————————5. Nashville: 15,482
6. Portland: 121,473——————————————–6. Sacramento: 9,941
7. Sacramento: 69,723—————————————-7. Portland: 8,374
8. Columbus: 53,301——————————————-8. Indianapolis: 6,196
9. Indianapolis: 46,076—————————————-9. Columbus: 3,746
10. Des Moines: 40,183————————————–10. Des Moines: 3,718
11. Kansas City: 24,457————————————–11. Minneapolis: 3,202
12. Madison: 15,880——————————————12. Kansas City: 2,437
13. Minneapolis: 11,638————————————–13. Madison: 1,418
14. Grand Rapids: 10,903———————————–14. Cincinnati: 1,193
15. Omaha: 7,537———————————————-15. Omaha: 1,068
16. Canton: -7,124———————————————16. Dayton: 896
17. Dayton: -15,586——————————————–17. Wichita: -291
18. Akron: -15,683———————————————-18. Grand Rapids: -669
19. Lansing: -18,240——————————————-19. Canton: -677
20. Youngstown: -19,317————————————-20. Youngstown: -751
21. Cincinnati: -19,944—————————————-21. Lansing: -840
22. Wichita: -21,454——————————————-22. Akron: -1,190
23. Toledo: -27,740——————————————–23. Virginia Beach: -2,197
24. Pittsburgh: -31,804—————————————24. Toledo: -2,339
25. Providence: -38,503————————————-25. Pittsburgh: -2,658
26. Virginia Beach: -59,729———————————26. Providence: -3,185
27. Milwaukee: -64,395————————————–27. Milwaukee: -5,140
28. Cleveland: -78,763————————————–28. Cleveland: -7,250
29. St. Louis: -85,003—————————————-29. St. Louis: -7,685
30. San Jose: -124,105————————————-30. Detroit: -16,655
31. Detroit: -172,225—————————————–31. San Jose: -27,495
32. Chicago: -638,599—————————————32. Chicago: -74,950

Total International Migration By Metro Census 2010-July 1, 2019 and July 1, 2018-July 1, 2019
Census 2010-July 1, 2019———————————July 1, 2018-July 1, 2019
1. Chicago: 197,093——————————————-1. Chicago: 15,257
2. San Jose: 152,520—————————————–2. San Jose: 13,371
3. Detroit: 110,907———————————————3. Detroit: 7,516
4. Minneapolis: 87,847—————————————4. Minneapolis: 6,645
5. Austin: 62,740———————————————–5. Indianapolis: 6,394
6. Columbus: 58,853——————————————6. Austin: 5,280
7. Sacramento: 51,225—————————————7. Nashville: 4,937
8. Providence: 49,015—————————————-8. Providence: 4,455
9. Portland: 47,983——————————————–9. Sacramento: 4,053
10. San Antonio: 45,348————————————10. Columbus: 4,032
11. Indianapolis: 43,502————————————-11. St. Louis: 2,991
12. Nashville: 39,422—————————————–12. Portland: 2,960
13. Virginia Beach: 36,319———————————-13. Pittsburgh: 2,555
14. Cleveland: 36,318—————————————-14. San Antonio: 2,504
15. Jacksonville: 34,089————————————-15. Kansas City: 2,377
16. St. Louis: 32,872—————————————–16. Jacksonville: 2,251
17. Cincinnati: 31,157—————————————-17. Cincinnati: 1,547
18. Pittsburgh: 30,654—————————————-18. Omaha: 1,517
19. Kansas City: 27,259————————————-19. Lansing: 1,452
20. Milwaukee: 25,298—————————————20. Cleveland: 1,433
21. Las Vegas: 23,319—————————————21. Grand Rapids: 1,316
22. Lansing: 19,865——————————————22. Milwaukee: 1,277
23. Grand Rapids: 17,629———————————-23. Virginia Beach: 1,165
24. Omaha: 16,785——————————————24. Madison: 988
25. Madison: 15,600—————————————–25. Akron: 836
26. Dayton: 13,473——————————————26. Dayton: 785
27. Akron: 13,086——————————————–27. Wichta: 688
28. Des Moines: 11,716————————————28. Des Moines: 519
29. Wichita: 9,096——————————————-29. Toledo: 270
30. Toledo: 5,646——————————————–30. Canton: 25
31. Youngstown: 2,675————————————-31. Youngstown: 25
32. Canton: 1,073——————————————–32. Las Vegas: -360

Total Net Migration By Metro Census 2010-July 1, 2019 and July 1, 2018-July 1, 2019
Census 2010-July 1, 2019———————————July 1, 2018-July 1, 2019

1. Austin: 355,902———————————————1. Austin: 46,614
2. San Antonio: 259,857————————————-2. Las Vegas: 31,283
3. Las Vegas: 208,889—————————————3. San Antonio: 24,491
4. Nasvhille: 197,758—————————————–4. Jacksonville: 22,302
5. Portland: 169,456——————————————5. Nashville: 20,419
6. Jacksonville: 160,572————————————-6. Sacramento: 13,994
7. Sacramento: 120,948————————————-7. Indianapolis: 12,590
8. Columbus: 112,154—————————————-8. Portland: 11,334
9. Minneapolis: 99,458—————————————9. Minneapolis: 9,847
10. Indianapolis: 89,578————————————10. Columbus: 7,778
11. Des Moines: 51,899————————————-11. Kansas City: 4,814
12. Kansas City: 51,716————————————-12. Des Moines: 4,237
13. Madison: 31,480——————————————13. Cincinnati: 2,740
14. Grand Rapids: 28,352———————————–14. Omaha: 2,585
15. San Jose: 28,415—————————————-15. Madison: 2,406
16. Omaha: 24,322——————————————-16. Dayton: 1,681
17. Cincinnati: 11,213—————————————-17. Providence: 1,270
18. Providence: 10,512————————————–18. Grand Rapids: 647
19. Lansing: 1,625——————————————–19. Lansing: 612
20. Pittsburgh: -1,150—————————————-20. Wichita: 397
21. Dayton: -2,113——————————————–21. Pittsburgh: -103
22. Akron: -2,597———————————————-22. Akron: -354
23. Canton: -6,051——————————————–23. Canton: -652
24. Wichita: -12,358——————————————24. Youngstown: -726
25. Youngstown: -16,642————————————25. Virginia Beach: -1,032
26. Toledo: -22,094——————————————-26. Toledo: -2,069
27. Virginia Beach: -23,410——————————–27. Milwaukee: -3,863
28. Milwaukee: -39,097————————————-28. St. Louis: -4,694
29. Cleveland: -42,445————————————–29. Cleveland: -5,817
30. St. Louis: -52,131—————————————-30. Detroit: -9,139
31. Detroit: -61,318——————————————31. San Jose: -14,124
32. Chicago: -441,506————————————–32. Chicago: -59,693

The 2019 metro population estimates show Columbus largely holding its own against state, regional and national peers.



2019 Ohio County Population Estimates

2019 Ohio county population estimates

The US Census has begun releasing 2019 population data, which will be the final data before we get the official, decennial census statistics for 2020. With Covid-19 ravaging the world and United States at the moment, it remains to be seen what effects it might have on the census counts, or if the official census may even end up delayed. While we wait for those issues to resolve, here are the 2019 Ohio county population estimates.

Total Ranked Population of Ohio’s Counties by Year
Census 2010—————————-July 1, 2018————————July 1, 2019
1. Cuyahoga: 1,280,122——–1. Franklin: 1,307,698———–1. Franklin: 1,316,756
2. Franklin: 1,163,414———–2. Cuyahoga: 1,241,718——–2. Cuyahoga: 1,235,072
3. Hamilton: 802,374————3. Hamilton: 815,445————-3. Hamilton: 817,473
4. Summit: 541,781————–4. Summit: 541,353————–4. Summit: 541,013
5. Montgomery: 535,153——-5. Montgomery: 531,600——–5. Montgomery: 531,687
6. Lucas: 441,815 —————6. Lucas: 429,612—————-6. Lucas: 428,348
7. Stark: 375,586—————–7. Butler: 382,000—————-7. Butler: 383,134
8. Butler: 368,130—————-8. Stark: 371,248—————–8. Stark: 370,606
9. Lorain: 301,356—————9. Lorain: 309,052—————-9. Lorain: 309,833
10. Mahoning: 238,823——–10. Warren: 231,945————-10. Warren: 234,602
11. Lake: 230,041—————11. Lake: 230,102—————–11. Lake: 230,149
12. Warren: 212,693————12. Mahoning: 229,216———12. Mahoning: 228,683
13. Trumbull: 210,312———-13. Clermont: 205,526———–13. Delaware: 209,177
14. Clermont: 197,363———-14. Delaware: 205,091———-14. Clermont: 206,428
15. Delaware: 174,214———15. Trumbull: 198,539————15. Trumbull: 197,974
16. Medina: 172,332————16. Medina: 178,978————–16. Medina: 179,746
17. Licking: 166,492————-17. Licking: 175,666————–17. Licking: 176,862
18. Greene: 161,573————18. Greene: 167,446————–18. Greene: 168,937
19. Portage: 161,419————19. Portage: 162,502————-19. Portage: 162,466
20. Fairfield: 146,156————20. Fairfield: 155,982————-20. Fairfield: 157,574
21. Clark: 138,333—————-21. Clark: 134,528—————-21. Clark: 134,083
22. Wood: 125,488—————22. Wood: 130,441—————-22. Wood: 130,817
23. Richland: 124,475———–23. Richland: 120,987————23. Richland: 121,154
24. Wayne: 114,520————-24. Wayne: 115,790—————-24. Wayne: 115,710
25. Columbiana: 107,841——25. Miami: 106,042—————–25. Miami: 106,987
26. Allen: 106,331—————26. Allen: 102,725——————26. Allen: 102,351
27. Miami: 102,506————–27. Columbiana: 102,473———27. Columbiana: 101,883
28. Ashtabula: 101,497———28. Ashtabula: 97,587————-28. Ashtabula: 97,241
29. Geauga: 93,389————-29. Geauga: 93,945—————-29. Geauga: 93,649
30. Tuscarawas: 92,582——–30. Tuscarawas: 92,079———-30. Tuscarawas: 91,987
31. Muskingum: 86,074———31. Muskingum: 86,131———–31. Muskingum: 86,215
32. Scioto: 79,499—————-32. Ross: 76,884——————-32. Ross: 76,666
33. Ross: 78,064——————33. Hancock: 75,920————–33. Hancock: 75,783
34. Erie: 77,079——————-34. Scioto: 75,480——————34. Scioto: 75,314
35. Hancock: 74,782————-35. Erie: 74,513———————35. Erie: 74,266
36. Belmont: 70,400————–36. Belmont: 67,533—————36. Belmont: 67,006
37. Jefferson: 69,709————37. Jefferson: 65,774—————37. Athens: 65,327
38. Marion: 66,501—————-38. Athens: 65,519—————–38. Jefferson: 65,325
39. Athens: 64,757—————-39. Marion: 65,427—————–39. Marion: 65,093
40. Lawrence: 62,450————-40. Knox: 61,900——————-40. Knox: 62,322
41. Washington: 61,778———-41. Washington: 60,111———–41. Washington: 59,911
42. Sandusky: 60,944————-42. Lawrence: 59,767————-42. Lawrence: 59,463
43. Knox: 60,921——————–43. Sandusky: 58,740————-43. Union: 58,988
44. Huron: 59,626——————-44. Huron: 58,364——————44. Sandusky: 58,518
45. Seneca: 56,745—————–45. Pickaway: 58,077————-45. Pickaway: 58,457
46. Pickaway: 55,698—————46. Union: 57,782——————46. Huron: 58,266
47. Ashland: 53,139—————–47. Seneca: 55,194—————-47. Seneca: 55,178
48. Darke: 53,139——————–48. Ashland: 53,706—————48. Ashland: 53,484
49. Union: 52,300——————–49. Darke: 51,299——————49. Darke: 51,113
50. Shelby: 49,423——————-50. Shelby: 48,622—————-50. Shelby: 48,590
51. Auglaize: 45,949—————–51. Auglaize: 45,736————-51. Logan: 45,672
52. Logan: 45,858——————–52. Logan: 45,332—————-52. Auglaize: 45,656
53. Brown: 44,846——————–53. Madison: 44,389————-53. Madison: 44,731
54. Crawford: 43,784—————-54. Holmes: 43,919—————54. Holmes: 43,960
55. Highland: 43,589—————-55. Brown: 43,570—————–55. Brown: 43,432
56. Madison: 43,435—————–56. Highland: 43,052————-56. Highland: 43,161
57. Fulton: 42,698——————–57. Fulton: 42,267—————–57. Fulton: 42,126
58. Holmes 42,366——————-58. Clinton: 42,085—————-58. Clinton: 41,968
59. Preble: 42,270——————–59. Crawford: 41,484————-59. Crawford: 41,494
60. Clinton: 42,040——————-60. Preble: 41,011—————–60. Mercer: 41,172
61. Ottawa: 41,428——————-61. Mercer: 40,952—————-61. Preble: 40,882
62. Mercer: 40,814——————-62. Ottawa: 40,769—————-62. Ottawa: 40,525
63. Champaign: 40,097————-63. Guernsey: 39,011————63. Champaign: 38,885
64. Guernsey: 40,087—————64. Champaign: 38,785———-64. Guernsey: 38,875
65. Defiance: 39,037—————-65. Defiance: 38,089————–65. Defiance: 38,087
66. Williams: 37,642—————–66. Williams: 36,739————–66. Williams: 36,692
67. Coshocton: 36,901————-67. Coshocton: 36,596———–67. Coshocton: 36,600
68. Perry: 36,058———————68. Perry: 36,039——————68. Perry: 36,134
69. Morrow: 34,827——————69. Morrow: 35,113—————-69. Morrow: 35,328
70. Putnam: 34,499——————70. Putnam: 33,802—————70. Putnam: 33,861
71. Jackson: 33,225——————71. Jackson: 32,366————–71. Jackson: 32,413
72. Hardin: 32,058——————–72. Hardin: 31,418—————-72. Hardin: 31,365
73. Gallia: 30.934———————73. Gallia: 29,945—————–73. Gallia: 29,898
74. Hocking: 29,380——————74. Fayette: 28,653—————74. Fayette: 28,525
75. Fayette: 29,030——————-75. Hocking: 28,357————–75. Van Wert: 28,275
76. Carroll: 28,836——————–76. Van Wert: 28,253————-76. Hocking: 28,264
77. Van Wert: 28,744—————–77. Pike: 27,932——————-77. Pike: 27,772
78. Pike: 28,709———————–78. Adams: 27,694—————-78. Adams: 27,698
79. Adams: 28,550——————-79. Henry: 27,092——————79. Henry: 27,006
80. Henry: 28,215———————80. Carroll: 27,082—————–80. Carroll: 26,914
81. Meigs: 23,770———————81. Meigs: 23,064—————–81. Meigs: 22,907
82. Wyandot: 22,615—————–82. Wyandot: 21,918————–82. Wyandot: 21,772
83. Paulding: 19,614—————–83. Paulding: 18,742————–83. Paulding: 18,672
84. Harrison: 15,864—————–84. Harrison: 15,167—————84. Harrison: 15,040
85. Morgan: 15,054——————85. Morgan: 14,581—————-85. Morgan: 14,508
86. Noble: 14,645———————86. Noble: 14,347——————86. Noble: 14,424
87. Monroe: 14,642——————-87. Monroe: 13,787—————87. Monroe: 13,654
88. Vinton: 13,435———————88. Vinton: 13,145—————-88. Vinton: 13,085

And here are the Top 25 Fastest Growing Counties by Total Growth by Time Period
Census 2010-July 1, 2019————————–July 1, 2018-July 1, 2019
1. Franklin: 153,342————————————1. Franklin: 9,058
2. Delaware: 34,963————————————2. Delaware: 4,086
3. Warren: 21,909—————————————3. Warren: 2,657
4. Hamilton: 15,099————————————-4. Hamilton: 2,028
5. Butler: 15,004—————————————–5. Fairfield: 1,592
6. Fairfield: 11,418————————————–6. Greene: 1,491
7. Licking: 10,370—————————————7. Union: 1,206
8. Clermont: 9,065————————————–8. Licking: 1,196
9. Lorain: 8,477——————————————9. Butler: 1,134
10. Medina: 7,414————————————–10. Miami: 945
11. Greene: 7,364————————————–11. Clermont: 902
12. Union: 6,688—————————————-12. Lorain: 781
13. Wood: 5,329—————————————-13. Medina: 768
14. Miami: 4,481—————————————-14. Knox: 422
15. Pickaway: 2,759———————————–15. Pickaway: 380
16. Holmes: 1,594————————————–16. Wood: 376
17. Knox: 1,401——————————————17. Madison: 342
18. Madison: 1,296————————————–18. Logan: 340
19. Wayne: 1,190—————————————-19. Mercer: 220
20. Portage: 1,047—————————————20. Morrow: 215
21. Hancock: 1,001————————————–21. Richland: 167
22. Athens: 570——————————————22. Highland: 109
23. Morrow: 501——————————————23. Champaign: 100
24. Mercer: 358——————————————24. Perry: 95
25. Ashland: 345—————————————–25. Montgomery: 87

Top 25 Slowest Growing Counties by Total Growth by Time Period
Census 2010-July 1, 2019——————————-July 1, 2018-July 1, 2019
1. Cuyahoga: -45,050————————————1. Cuyahoga: -6,646
2. Lucas: -13,467——————————————2. Lucas: -1,264
3. Trumbull: -12,338—————————————3. Stark: -642
4. Mahoning: -10,140————————————-4. Columbiana: -590
5. Columbiana: -5,958————————————5. Trumbull: -565
6. Stark: -4,980———————————————6. Mahoning: -533
7. Jefferson: -4,384—————————————-7. Belmont: -527
8. Ashtabula: -4,256—————————————8. Jefferson: -449
9. Clark: -4,250———————————————9. Clark: -445
10. Scioto: -4,185——————————————10. Allen: -374
11. Allen: -3,980——————————————–11. Ashtabula: -346
12. Montgomery: -3,466———————————-12. Summit: -340
13. Belmont: -3,394—————————————-13. Marion: -334
14. Richland: -3,321—————————————-14. Lawrence: -304
15. Lawrence: -2,987————————————–15. Geauga: -296
16. Erie: -2,813———————————————-16. Erie: -247
17. Sandusky: -2,426————————————–17. Ottawa: -244
18. Crawford: -2,290—————————————18. Ashland: -222
19. Carroll: -1,922——————————————-19. Sandusky: -222
20. Washington: -1,867————————————20. Ross: -218
21. Darke: -1,846——————————————–21. Washington: -200
22. Seneca: -1,567——————————————22. Athens: -192
23. Brown: -1,414——————————————–23. Darke: -186
24. Marion: -1,408——————————————-24. Carroll: -168
25. Ross: -1,398———————————————25. Scioto: -166

Franklin County continues to vastly outpace all other 87 in the state.