How America Moves

Lexington County, SC

Migration of people and income, 2022–2023 filing years

Between the 2022 and 2023 filing years, Lexington County, SC saw a net gain of 1,085 tax-filing households and a net gain of 2,955 individuals. On net, the area gained $89.3M in associated adjusted gross income (AGI, nominal dollars). The largest inflow came from Richland County; the largest outflow went to Richland County. These figures cover federal income tax filers only and do not indicate why people moved.

Net income (AGI)
+$89.3M
nominal dollars
Net households
+1,085
tax returns
Net people
+2,955
exemptions

Income (AGI) in and out

Moved in$618.2M
Moved out$528.9M
Net +$89.3M (nominal)

Where movers came from

  1. 1Richland County, SC3,183$199.8M
  2. 2Aiken County, SC213$11.3M
  3. 3Orangeburg County, SC176$8.8M
  4. 4Greenville County, SC142$9.8M
  5. 5Charleston County, SC138$8.2M
  6. 6Mecklenburg County, NC132$7.5M
  7. 7Saluda County, SC120$6.2M
  8. 8Newberry County, SC112$6.8M
  9. 9Kershaw County, SC111$5.5M
  10. 10Horry County, SC103$4.5M

Where movers went

  1. 1Richland County, SC2,753$180.9M
  2. 2Aiken County, SC235$13.2M
  3. 3Greenville County, SC217$13.0M
  4. 4Newberry County, SC211$15.7M
  5. 5Charleston County, SC199$14.1M
  6. 6Mecklenburg County, NC183$11.4M
  7. 7Saluda County, SC144$9.8M
  8. 8Orangeburg County, SC133$4.9M
  9. 9Kershaw County, SC126$6.5M
  10. 10Horry County, SC110$6.9M

Net migration by year

Net 2012–2023: +$880.5M (+34,753 people)
20122023
Net AGI and net people by year (nominal dollars)
YearNet AGINet people
2012+$52.4M+1,980
2013+$92.3M+2,328
2014-$166.3M+1,882
2015+$38.7M+1,398
2016+$104.3M+2,567
2017+$98.7M+3,826
2018+$66.9M+3,280
2019+$94.2M+2,894
2020+$130.1M+4,344
2021+$196.1M+4,567
2022+$83.9M+2,732
2023+$89.3M+2,955

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Source: IRS Statistics of Income migration data (public domain). Covers federal income tax filers only; AGI is nominal (not inflation adjusted). These numbers describe movement of filers and their reported income, not why people moved or economic loss. Methodology and caveats.