Where people in Wilmington are moving to most

·Stacker

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Stacker compiled a list of where people in Wilmington, NC Metro Area are moving to the most using data from the U.S. Census Bureau. Metros are ranked by the estimated number of people who moved to the metro from Wilmington between 2015 and 2019. Ties were broken by gross migration.

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#50. York-Hanover, PA Metro Area

- Migration to York in 2015-2019: 43
- Migration from York to Wilmington: 0
- Net migration: 43 to York
2 / 50

#49. New Bern, NC Metro Area

- Migration to New Bern in 2015-2019: 43
- Migration from New Bern to Wilmington: 413 (#5 most common destination from New Bern)
- Net migration: 370 to Wilmington
3 / 50

#48. Seattle-Tacoma-Bellevue, WA Metro Area

- Migration to Seattle in 2015-2019: 45
- Migration from Seattle to Wilmington: 19 (#262 most common destination from Seattle)
- Net migration: 26 to Seattle
4 / 50

#47. Lexington-Fayette, KY Metro Area

- Migration to Lexington in 2015-2019: 50
- Migration from Lexington to Wilmington: 0
- Net migration: 50 to Lexington
6 / 50

#45. Denver-Aurora-Lakewood, CO Metro Area

- Migration to Denver in 2015-2019: 53
- Migration from Denver to Wilmington: 47 (#205 most common destination from Denver)
- Net migration: 6 to Denver
7 / 50

#44. Pensacola-Ferry Pass-Brent, FL Metro Area

- Migration to Pensacola in 2015-2019: 54
- Migration from Pensacola to Wilmington: 0
- Net migration: 54 to Pensacola
8 / 50

#43. Boulder, CO Metro Area

- Migration to Boulder in 2015-2019: 55
- Migration from Boulder to Wilmington: 12 (#121 most common destination from Boulder)
- Net migration: 43 to Boulder
9 / 50

#42. Buffalo-Cheektowaga, NY Metro Area

- Migration to Buffalo in 2015-2019: 56
- Migration from Buffalo to Wilmington: 0
- Net migration: 56 to Buffalo
11 / 50

#40. Boston-Cambridge-Newton, MA-NH Metro Area

- Migration to Boston in 2015-2019: 63
- Migration from Boston to Wilmington: 91 (#139 most common destination from Boston)
- Net migration: 28 to Wilmington
12 / 50

#39. San Jose-Sunnyvale-Santa Clara, CA Metro Area

- Migration to San Jose in 2015-2019: 64
- Migration from San Jose to Wilmington: 0
- Net migration: 64 to San Jose
13 / 50

#38. Portland-Vancouver-Hillsboro, OR-WA Metro Area

- Migration to Portland in 2015-2019: 66
- Migration from Portland to Wilmington: 73 (#131 most common destination from Portland)
- Net migration: 7 to Wilmington
14 / 50

#37. Hilton Head Island-Bluffton, SC Metro Area

- Migration to Hilton Head Island in 2015-2019: 67
- Migration from Hilton Head Island to Wilmington: 0
- Net migration: 67 to Hilton Head Island
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#36. Pittsburgh, PA Metro Area

- Migration to Pittsburgh in 2015-2019: 71
- Migration from Pittsburgh to Wilmington: 322 (#46 most common destination from Pittsburgh)
- Net migration: 251 to Wilmington

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16 / 50

#35. Colorado Springs, CO Metro Area

- Migration to Colorado Springs in 2015-2019: 73
- Migration from Colorado Springs to Wilmington: 0
- Net migration: 73 to Colorado Springs
17 / 50

#34. Nashville-Davidson--Murfreesboro--Franklin, TN Metro Area

- Migration to Nashville in 2015-2019: 73
- Migration from Nashville to Wilmington: 26 (#196 most common destination from Nashville)
- Net migration: 47 to Nashville
18 / 50

#33. Jacksonville, FL Metro Area

- Migration to Jacksonville in 2015-2019: 74
- Migration from Jacksonville to Wilmington: 44 (#159 most common destination from Jacksonville)
- Net migration: 30 to Jacksonville
19 / 50

#32. San Diego-Chula Vista-Carlsbad, CA Metro Area

- Migration to San Diego in 2015-2019: 88
- Migration from San Diego to Wilmington: 129 (#135 most common destination from San Diego)
- Net migration: 41 to Wilmington
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#31. Syracuse, NY Metro Area

- Migration to Syracuse in 2015-2019: 88
- Migration from Syracuse to Wilmington: 4 (#158 most common destination from Syracuse)
- Net migration: 84 to Syracuse

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21 / 50

#30. Goldsboro, NC Metro Area

- Migration to Goldsboro in 2015-2019: 91
- Migration from Goldsboro to Wilmington: 86 (#15 most common destination from Goldsboro)
- Net migration: 5 to Goldsboro
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#29. Philadelphia-Camden-Wilmington, PA-NJ-DE-MD Metro Area

- Migration to Philadelphia in 2015-2019: 92
- Migration from Philadelphia to Wilmington: 140 (#139 most common destination from Philadelphia)
- Net migration: 48 to Wilmington
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#28. Hickory-Lenoir-Morganton, NC Metro Area

- Migration to Hickory in 2015-2019: 108
- Migration from Hickory to Wilmington: 147 (#16 most common destination from Hickory)
- Net migration: 39 to Wilmington
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#27. Orlando-Kissimmee-Sanford, FL Metro Area

- Migration to Orlando in 2015-2019: 110
- Migration from Orlando to Wilmington: 153 (#90 most common destination from Orlando)
- Net migration: 43 to Wilmington
25 / 50

#26. Baltimore-Columbia-Towson, MD Metro Area

- Migration to Baltimore in 2015-2019: 111
- Migration from Baltimore to Wilmington: 132 (#103 most common destination from Baltimore)
- Net migration: 21 to Wilmington

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26 / 50

#25. Virginia Beach-Norfolk-Newport News, VA-NC Metro Area

- Migration to Virginia Beach in 2015-2019: 112
- Migration from Virginia Beach to Wilmington: 306 (#59 most common destination from Virginia Beach)
- Net migration: 194 to Wilmington
27 / 50

#24. Burlington, NC Metro Area

- Migration to Burlington in 2015-2019: 124
- Migration from Burlington to Wilmington: 21 (#35 most common destination from Burlington)
- Net migration: 103 to Burlington
28 / 50

#23. Chicago-Naperville-Elgin, IL-IN-WI Metro Area

- Migration to Chicago in 2015-2019: 128
- Migration from Chicago to Wilmington: 150 (#189 most common destination from Chicago)
- Net migration: 22 to Wilmington
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#22. Atlanta-Sandy Springs-Alpharetta, GA Metro Area

- Migration to Atlanta in 2015-2019: 129
- Migration from Atlanta to Wilmington: 320 (#107 most common destination from Atlanta)
- Net migration: 191 to Wilmington
31 / 50

#20. Columbia, SC Metro Area

- Migration to Columbia in 2015-2019: 140
- Migration from Columbia to Wilmington: 90 (#65 most common destination from Columbia)
- Net migration: 50 to Columbia
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#19. New York-Newark-Jersey City, NY-NJ-PA Metro Area

- Migration to New York in 2015-2019: 145
- Migration from New York to Wilmington: 927 (#90 most common destination from New York)
- Net migration: 782 to Wilmington
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#18. Asheville, NC Metro Area

- Migration to Asheville in 2015-2019: 147
- Migration from Asheville to Wilmington: 327 (#12 most common destination from Asheville)
- Net migration: 180 to Wilmington
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#17. Charlottesville, VA Metro Area

- Migration to Charlottesville in 2015-2019: 149
- Migration from Charlottesville to Wilmington: 35 (#62 most common destination from Charlottesville)
- Net migration: 114 to Charlottesville
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#16. Lynchburg, VA Metro Area

- Migration to Lynchburg in 2015-2019: 154
- Migration from Lynchburg to Wilmington: 5 (#99 most common destination from Lynchburg)
- Net migration: 149 to Lynchburg

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36 / 50

#15. Urban Honolulu, HI Metro Area

- Migration to Urban Honolulu in 2015-2019: 158
- Migration from Urban Honolulu to Wilmington: 7 (#223 most common destination from Urban Honolulu)
- Net migration: 151 to Urban Honolulu
37 / 50

#14. Los Angeles-Long Beach-Anaheim, CA Metro Area

- Migration to Los Angeles in 2015-2019: 172
- Migration from Los Angeles to Wilmington: 88 (#223 most common destination from Los Angeles)
- Net migration: 84 to Los Angeles
38 / 50

#13. Washington-Arlington-Alexandria, DC-VA-MD-WV Metro Area

- Migration to Washington in 2015-2019: 173
- Migration from Washington to Wilmington: 524 (#81 most common destination from Washington)
- Net migration: 351 to Wilmington
39 / 50

#12. Deltona-Daytona Beach-Ormond Beach, FL Metro Area

- Migration to Deltona in 2015-2019: 182
- Migration from Deltona to Wilmington: 35 (#93 most common destination from Deltona)
- Net migration: 147 to Deltona
40 / 50

#11. Fayetteville, NC Metro Area

- Migration to Fayetteville in 2015-2019: 211
- Migration from Fayetteville to Wilmington: 932 (#9 most common destination from Fayetteville)
- Net migration: 721 to Wilmington

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#10. Winston-Salem, NC Metro Area

- Migration to Winston in 2015-2019: 242
- Migration from Winston to Wilmington: 333 (#8 most common destination from Winston)
- Net migration: 91 to Wilmington
42 / 50

#9. Tampa-St. Petersburg-Clearwater, FL Metro Area

- Migration to Tampa in 2015-2019: 245
- Migration from Tampa to Wilmington: 47 (#202 most common destination from Tampa)
- Net migration: 198 to Tampa
43 / 50

#8. Austin-Round Rock-Georgetown, TX Metro Area

- Migration to Austin in 2015-2019: 318
- Migration from Austin to Wilmington: 42 (#171 most common destination from Austin)
- Net migration: 276 to Austin
44 / 50

#7. Greensboro-High Point, NC Metro Area

- Migration to Greensboro in 2015-2019: 457
- Migration from Greensboro to Wilmington: 787 (#6 most common destination from Greensboro)
- Net migration: 330 to Wilmington
45 / 50

#6. Durham-Chapel Hill, NC Metro Area

- Migration to Durham in 2015-2019: 569
- Migration from Durham to Wilmington: 562 (#14 most common destination from Durham)
- Net migration: 7 to Durham

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46 / 50

#5. Greenville, NC Metro Area

- Migration to Greenville in 2015-2019: 595
- Migration from Greenville to Wilmington: 303 (#7 most common destination from Greenville)
- Net migration: 292 to Greenville
47 / 50

#4. Charlotte-Concord-Gastonia, NC-SC Metro Area

- Migration to Charlotte in 2015-2019: 1,200
- Migration from Charlotte to Wilmington: 2,221 (#9 most common destination from Charlotte)
- Net migration: 1,021 to Wilmington
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#3. Jacksonville, NC Metro Area

- Migration to Jacksonville in 2015-2019: 1,290
- Migration from Jacksonville to Wilmington: 1,026 (#3 most common destination from Jacksonville)
- Net migration: 264 to Jacksonville
49 / 50

#2. Raleigh-Cary, NC Metro Area

- Migration to Raleigh in 2015-2019: 1,635
- Migration from Raleigh to Wilmington: 1,800 (#5 most common destination from Raleigh)
- Net migration: 165 to Wilmington
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#1. Myrtle Beach-Conway-North Myrtle Beach, SC-NC Metro Area

- Migration to Myrtle Beach in 2015-2019: 2,597
- Migration from Myrtle Beach to Wilmington: 1,971 (#1 most common destination from Myrtle Beach)
- Net migration: 626 to Myrtle Beach

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