How America Moves

Ramsey County, MN

Migration of people and income, 2022–2023 filing years

Between the 2022 and 2023 filing years, Ramsey County, MN saw a net loss of 1,556 tax-filing households and a net loss of 4,511 individuals. On net, the area lost $339.6M in associated adjusted gross income (AGI, nominal dollars). The largest inflow came from Hennepin County; the largest outflow went to Hennepin County. These figures cover federal income tax filers only and do not indicate why people moved.

Net income (AGI)
-$339.6M
nominal dollars
Net households
-1,556
tax returns
Net people
-4,511
exemptions

Income (AGI) in and out

Moved in$1.1B
Moved out$1.5B
Net -$339.6M (nominal)

Where movers came from

  1. 1Hennepin County, MN6,020$364.0M
  2. 2Washington County, MN2,023$126.2M
  3. 3Dakota County, MN1,782$90.6M
  4. 4Anoka County, MN1,679$92.9M
  5. 5St. Croix County, WI232$14.0M
  6. 6St. Louis County, MN207$9.6M
  7. 7Cook County, IL178$10.3M
  8. 8Olmsted County, MN176$9.7M
  9. 9Scott County, MN176$10.3M
  10. 10Chisago County, MN171$8.0M

Where movers went

  1. 1Hennepin County, MN5,844$349.4M
  2. 2Washington County, MN2,963$237.7M
  3. 3Dakota County, MN2,401$151.4M
  4. 4Anoka County, MN2,256$138.2M
  5. 5Chisago County, MN262$17.0M
  6. 6St. Croix County, WI231$20.4M
  7. 7Cook County, IL211$11.8M
  8. 8Scott County, MN196$13.6M
  9. 9Maricopa County, AZ171$22.0M
  10. 10Wright County, MN157$10.2M

Net migration by year

Net 2012–2023: -$3.1B (-59,776 people)
20122023
Net AGI and net people by year (nominal dollars)
YearNet AGINet people
2012-$186.6M-2,773
2013-$118.3M-1,968
2014-$264.7M-3,785
2015-$105.6M-1,369
2016-$153.4M-3,417
2017-$268.7M-6,446
2018-$94.4M-2,901
2019-$327.9M-5,910
2020-$467.7M-9,277
2021-$422.4M-10,270
2022-$397.0M-7,149
2023-$339.6M-4,511

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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.