How America Moves

Hennepin County, MN

Migration of people and income, 2022–2023 filing years

Between the 2022 and 2023 filing years, Hennepin County, MN saw a net loss of 2,269 tax-filing households and a net loss of 7,720 individuals. On net, the area lost $1.1B in associated adjusted gross income (AGI, nominal dollars). The largest inflow came from Ramsey County; the largest outflow went to Ramsey County. These figures cover federal income tax filers only and do not indicate why people moved.

Net income (AGI)
-$1.1B
nominal dollars
Net households
-2,269
tax returns
Net people
-7,720
exemptions

Income (AGI) in and out

Moved in$2.7B
Moved out$3.8B
Net -$1.1B (nominal)

Where movers came from

  1. 1Ramsey County, MN5,844$349.4M
  2. 2Anoka County, MN3,320$195.6M
  3. 3Dakota County, MN3,217$202.7M
  4. 4Carver County, MN1,143$101.5M
  5. 5Washington County, MN1,111$83.5M
  6. 6Scott County, MN1,096$85.5M
  7. 7Wright County, MN1,027$76.6M
  8. 8Cook County, IL623$56.0M
  9. 9Stearns County, MN573$36.1M
  10. 10Sherburne County, MN494$32.8M

Where movers went

  1. 1Ramsey County, MN6,020$364.0M
  2. 2Anoka County, MN4,072$245.3M
  3. 3Dakota County, MN3,836$364.0M
  4. 4Wright County, MN1,618$148.6M
  5. 5Carver County, MN1,553$190.7M
  6. 6Scott County, MN1,348$110.4M
  7. 7Washington County, MN1,145$98.9M
  8. 8Cook County, IL864$63.5M
  9. 9Maricopa County, AZ604$137.3M
  10. 10Sherburne County, MN565$40.7M

Net migration by year

Net 2012–2023: -$7.9B (-101,134 people)
20122023
Net AGI and net people by year (nominal dollars)
YearNet AGINet people
2012-$195.0M-2,285
2013-$484.1M-6,238
2014-$309.9M-4,573
2015-$92.1M-1,720
2016-$297.5M-5,152
2017-$303.4M-9,455
2018-$553.5M-6,315
2019-$444.7M-6,191
2020-$1.1B-16,506
2021-$1.4B-20,481
2022-$1.6B-14,498
2023-$1.1B-7,720

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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.