How America Moves

New York

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

Between the 2022 and 2023 filing years, New York saw a net loss of 75,987 tax-filing households and a net loss of 164,112 individuals. On net, the area lost $10.6B in associated adjusted gross income (AGI, nominal dollars). The largest inflow came from New Jersey; the largest outflow went to New Jersey. These figures cover federal income tax filers only and do not indicate why people moved.

Net income (AGI)
-$10.6B
nominal dollars
Net households
-75,987
tax returns
Net people
-164,112
exemptions

Income (AGI) in and out

Moved in$18.6B
Moved out$29.2B
Net -$10.6B (nominal)

New York 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 Jersey26,793$3.0B
  2. 2Florida22,011$2.0B
  3. 3California20,595$2.8B
  4. 4Pennsylvania14,412$1.1B
  5. 5Massachusetts11,027$1.1B
  6. 6Connecticut10,486$1.2B
  7. 7Texas9,433$930.3M
  8. 8North Carolina6,906$436.7M
  9. 9Virginia6,504$520.8M
  10. 10Georgia5,842$401.8M

Top destination states

  1. 1New Jersey43,699$5.1B
  2. 2Florida43,187$5.8B
  3. 3Pennsylvania20,643$1.5B
  4. 4California18,440$2.8B
  5. 5Connecticut15,535$2.4B
  6. 6North Carolina13,811$1.1B
  7. 7Texas12,961$1.2B
  8. 8Massachusetts10,479$1.0B
  9. 9Georgia9,138$611.6M
  10. 10Virginia8,124$647.3M

Net migration by year

Net 2012–2023: -$126.6B (-2,043,734 people)
20122023
Net AGI and net people by year (nominal dollars)
YearNet AGINet people
2012-$3.8B-99,083
2013-$5.7B-114,929
2014-$5.5B-128,242
2015-$4.5B-94,169
2016-$8.8B-167,601
2017-$11.2B-226,764
2018-$9.6B-159,480
2019-$8.8B-153,970
2020-$19.5B-248,387
2021-$24.5B-262,216
2022-$14.2B-224,781
2023-$10.6B-164,112

Counties in New York (62)

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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.