How America Moves

South Carolina

State-to-state migration of people and income, 20222023 filing years

Between the 2022 and 2023 filing years, South Carolina saw a net gain of 29,053 tax-filing households and a net gain of 59,037 individuals. On net, the area gained $4.1B in associated adjusted gross income (AGI, nominal dollars). The largest inflow came from North Carolina; the largest outflow went to North Carolina. These figures cover federal income tax filers only and do not indicate why people moved.

Net income (AGI)
+$4.1B
nominal dollars
Net households
+29,053
tax returns
Net people
+59,037
exemptions

Income (AGI) in and out

Moved in$8.9B
Moved out$4.8B
Net +$4.1B (nominal)

South Carolina counties

Net migration by county. Hover for figures; click a county to open it.

Net outNet in(AGI $)
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Top origin states

  1. 1North Carolina18,026$1.5B
  2. 2Florida9,651$705.6M
  3. 3Georgia9,309$752.8M
  4. 4New York7,266$685.9M
  5. 5Virginia4,896$506.3M
  6. 6Pennsylvania4,214$411.8M
  7. 7California4,179$382.6M
  8. 8Texas3,840$337.6M
  9. 9New Jersey3,650$388.7M
  10. 10Ohio3,043$266.6M

Top destination states

  1. 1North Carolina15,305$1.0B
  2. 2Georgia8,328$505.4M
  3. 3Florida7,188$552.8M
  4. 4Virginia3,717$254.5M
  5. 5Texas3,703$257.9M
  6. 6New York3,037$171.6M
  7. 7California2,322$162.8M
  8. 8Tennessee2,301$158.9M
  9. 9Pennsylvania2,047$140.3M
  10. 10Ohio1,892$125.8M

Net migration by year

Net 2012–2023: +$32.9B (+543,119 people)
20122023
Net AGI and net people by year (nominal dollars)
YearNet AGINet people
2012+$1.1B+21,546
2013+$1.6B+29,176
2014+$1.7B+30,355
2015+$1.1B+21,170
2016+$2.3B+40,298
2017+$3.4B+64,791
2018+$2.5B+44,861
2019+$2.6B+41,933
2020+$3.6B+54,334
2021+$4.2B+64,845
2022+$4.8B+70,773
2023+$4.1B+59,037

Counties in South Carolina (46)

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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.