How America Moves

Bernalillo County, NM

Migration of people and income, 2022–2023 filing years

Between the 2022 and 2023 filing years, Bernalillo County, NM saw a net loss of 833 tax-filing households and a net loss of 2,779 individuals. On net, the area lost $193.6M in associated adjusted gross income (AGI, nominal dollars). The largest inflow came from Sandoval County; the largest outflow went to Sandoval County. These figures cover federal income tax filers only and do not indicate why people moved.

Net income (AGI)
-$193.6M
nominal dollars
Net households
-833
tax returns
Net people
-2,779
exemptions

Income (AGI) in and out

Moved in$872.6M
Moved out$1.1B
Net -$193.6M (nominal)

Where movers came from

  1. 1Sandoval County, NM1,896$105.4M
  2. 2Santa Fe County, NM750$44.8M
  3. 3Valencia County, NM701$30.6M
  4. 4Maricopa County, AZ450$28.7M
  5. 5McKinley County, NM341$12.5M
  6. 6Doña Ana County, NM298$12.4M
  7. 7Los Angeles County, CA291$18.2M
  8. 8El Paso County, TX225$10.1M
  9. 9San Juan County, NM194$7.3M
  10. 10Clark County, NV188$9.1M

Where movers went

  1. 1Sandoval County, NM2,406$184.5M
  2. 2Valencia County, NM957$51.2M
  3. 3Maricopa County, AZ651$52.1M
  4. 4Santa Fe County, NM584$37.3M
  5. 5Doña Ana County, NM226$9.8M
  6. 6Torrance County, NM224$11.6M
  7. 7Los Angeles County, CA209$13.6M
  8. 8McKinley County, NM186$5.6M
  9. 9San Juan County, NM167$7.7M
  10. 10El Paso County, TX166$6.6M

Net migration by year

Net 2012–2023: -$1.1B (-32,488 people)
20122023
Net AGI and net people by year (nominal dollars)
YearNet AGINet people
2012-$80.5M-3,193
2013-$122.6M-3,747
2014-$104.0M-3,469
2015-$61.0M-1,767
2016-$108.3M-2,013
2017-$148.5M-4,584
2018-$51.5M-2,001
2019-$15.7M-571
2020-$13.7M-1,729
2021-$87.3M-3,546
2022-$95.2M-3,089
2023-$193.6M-2,779

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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.