How America Moves

Connecticut

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

Between the 2022 and 2023 filing years, Connecticut saw a net loss of 6,281 tax-filing households and a net loss of 5,464 individuals. On net, the area lost $495.3M in associated adjusted gross income (AGI, nominal dollars). The largest inflow came from New York; the largest outflow went to New York. These figures cover federal income tax filers only and do not indicate why people moved.

Net income (AGI)
-$495.3M
nominal dollars
Net households
-6,281
tax returns
Net people
-5,464
exemptions

Income (AGI) in and out

Moved in$5.4B
Moved out$5.9B
Net -$495.3M (nominal)

Connecticut 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. 1New York15,535$2.4B
  2. 2Massachusetts6,006$519.7M
  3. 3Florida4,519$400.3M
  4. 4New Jersey2,242$293.8M
  5. 5California2,146$244.0M
  6. 6Rhode Island1,769$124.9M
  7. 7Pennsylvania1,504$124.0M
  8. 8Texas1,442$157.5M
  9. 9North Carolina1,145$85.6M
  10. 10Virginia1,055$93.7M

Top destination states

  1. 1New York10,486$1.2B
  2. 2Florida7,668$1.2B
  3. 3Massachusetts6,467$556.4M
  4. 4California2,534$312.2M
  5. 5North Carolina2,442$228.2M
  6. 6Texas2,170$237.3M
  7. 7New Jersey2,060$230.0M
  8. 8Pennsylvania1,752$148.8M
  9. 9South Carolina1,698$189.6M
  10. 10Virginia1,541$135.6M

Net migration by year

Net 2012–2023: -$15.4B (-139,227 people)
20122023
Net AGI and net people by year (nominal dollars)
YearNet AGINet people
2012-$2.0B-12,088
2013-$1.8B-15,453
2014-$1.0B-17,658
2015-$1.3B-12,848
2016-$2.7B-20,179
2017-$2.1B-19,856
2018-$1.1B-14,449
2019-$1.6B-11,960
2020-$281.7M-3,183
2021+$44.9M+527
2022-$1.0B-6,616
2023-$495.3M-5,464

Counties in Connecticut (17)

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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.