How America Moves

Virginia

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

Between the 2022 and 2023 filing years, Virginia saw a net gain of 458 tax-filing households and a net gain of 1,290 individuals. On net, the area lost $934.9M in associated adjusted gross income (AGI, nominal dollars). The largest inflow came from Maryland; 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)
-$934.9M
nominal dollars
Net households
+458
tax returns
Net people
+1,290
exemptions

Income (AGI) in and out

Moved in$11.7B
Moved out$12.6B
Net -$934.9M (nominal)

Virginia 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. 1Maryland15,079$1.3B
  2. 2North Carolina12,599$866.9M
  3. 3Florida12,414$1.0B
  4. 4California9,309$879.2M
  5. 5New York8,124$647.3M
  6. 6Texas7,641$652.4M
  7. 7District of Columbia6,502$872.8M
  8. 8Pennsylvania6,486$493.8M
  9. 9Georgia4,876$340.3M
  10. 10New Jersey4,296$368.6M

Top destination states

  1. 1North Carolina15,148$1.2B
  2. 2Florida14,194$1.7B
  3. 3Maryland13,353$1.2B
  4. 4Texas9,124$829.3M
  5. 5California8,264$763.3M
  6. 6New York6,504$520.8M
  7. 7Pennsylvania5,558$458.0M
  8. 8District of Columbia5,130$529.6M
  9. 9Georgia5,099$400.8M
  10. 10South Carolina4,896$506.3M

Net migration by year

Net 2012–2023: -$15.2B (-95,349 people)
20122023
Net AGI and net people by year (nominal dollars)
YearNet AGINet people
2012-$647.3M+3,176
2013-$962.6M-5,390
2014-$1.3B-25,561
2015-$509.5M+427
2016-$1.6B-17,474
2017-$1.9B-22,596
2018-$1.3B-6,466
2019-$1.2B-3,686
2020-$1.1B-7,352
2021-$1.8B-7,224
2022-$2.1B-4,493
2023-$934.9M+1,290

Counties in Virginia (133)

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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.