Maui County, HI
Migration of people and income, 2022–2023 filing years
At a glance (2023)
Cost of living is the metro-area price level for Kahului-Wailuku, HI.
The cost of living runs about 7% above the national average. The median home is valued at $858,600 (nominal). Home prices have risen about 55% over the five years to 2023. Median rent is about $1,863 a month. Unemployment averaged 4.3% in 2023 (national 3.6%). Median household income is $95,076. These figures describe all residents, not just tax filers, come from separate sources than the migration data on this page, and do not indicate why anyone moved.
Between the 2022 and 2023 filing years, Maui County, HI saw a net loss of 682 tax-filing households and a net loss of 1,283 individuals. Against a population of about 164,183, that is a net outflow of about 7.8 per 1,000 residents. On net, the area lost $27.2M in associated adjusted gross income (AGI, nominal dollars). The largest inflow, about 131 households, came from Los Angeles County; the largest outflow, about 214 households, went to Clark County. In the prior (2022) filing year, the area saw a net loss of 556 individuals. These figures cover federal income tax filers only and do not indicate why people moved.
-7.8 net people per 1,000 residents (population 164,183)
Income (AGI) in and out
Maui County within Hawaii
Maui County is outlined, with arrows tracing its largest moves to and from other Hawaii counties. Hover any county for its figures; click to open it.
Where movers came from
- 1Los Angeles County, CA131$11.9M
- 2San Diego County, CA93$8.4M
- 3Clark County, NV84$5.2M
- 4Maricopa County, AZ70$4.7M
- 5King County, WA66$13.3M
- 6Orange County, CA51$5.9M
- 7Pierce County, WA32$3.5M
- 8Santa Clara County, CA29$5.7M
- 9Riverside County, CA28$2.6M
- 10Salt Lake County, UT27$2M
Where movers went
- 1Clark County, NV214$11.9M
- 2Los Angeles County, CA106$11.6M
- 3King County, WA91$7.4M
- 4San Diego County, CA79$9.9M
- 5Maricopa County, AZ67$5.6M
- 6Orange County, CA55$7.5M
- 7Pierce County, WA41$3.5M
- 8Riverside County, CA34$2.9M
- 9Multnomah County, OR34$1.9M
- 10Denver County, CO29$1.6M
Churn by county · both directions at once
The biggest two-way exchanges of filing households, 2022–2023. Moved in and moved out are gross one-way counts; net is the difference. Click a column to sort.
| Clark County, NV | 84 | 214 | -130 | -$6.7M |
| Los Angeles County, CA | 131 | 106 | +25 | +$254K |
| San Diego County, CA | 93 | 79 | +14 | -$1.5M |
| King County, WA | 66 | 91 | -25 | +$5.9M |
| Maricopa County, AZ | 70 | 67 | +3 | -$942K |
| Orange County, CA | 51 | 55 | -4 | -$1.6M |
| Pierce County, WA | 32 | 41 | -9 | +$57K |
| Riverside County, CA | 28 | 34 | -6 | -$318K |
| Multnomah County, OR | 27 | 34 | -7 | +$13K |
| Santa Clara County, CA | 29 | 28 | +1 | +$2.5M |
| Contra Costa County, CA | 22 | 28 | -6 | -$3.9M |
| Salt Lake County, UT | 27 | 20 | +7 | +$739K |
Counts are filing households (IRS returns), matching the lists above; income is nominal AGI. A dash means the IRS published only one direction of that exchange (small flows are suppressed), so no net is computed.
Net migration by year
| Year | Net AGI | Net people |
|---|---|---|
| 2012 | +$69.5M | +457 |
| 2013 | +$84.6M | +997 |
| 2014 | +$62.6M | +655 |
| 2015 | +$91.1M | -226 |
| 2016 | +$74.8M | +205 |
| 2017 | +$39M | -244 |
| 2018 | +$101.5M | +94 |
| 2019 | +$16.7M | +23 |
| 2020 | +$108.1M | +138 |
| 2021 | +$143.3M | -587 |
| 2022 | +$250.5M | -556 |
| 2023 | -$27.2M | -1,283 |
How big is this move, relative to the county?
In the 2022–2023 filing year, about 1,283 more people left Maui County, HI than moved in (counting tax filers and their dependents) — a net loss of about $27.2M in income (nominal) — in a county of 164,022 people.
The rate lets you compare Maui County, HI with a countyof any size: it’s the net flow divided by population. The IRS counts tax filers; population counts all residents, so read the rate as a scale indicator, not a literal share of people.
Components of population change · 2023 (Census)
Where the county’s overall change came from. Census counts all residents; the IRS migration above is one slice of the domestic-migration component.
Source: U.S. Census Bureau, Population Estimates Program. Figures are people, not tax filers.
The people of Maui County, HI
American Community Survey, 2019–2023 (a 5-year average of all residents, not just tax filers).
White, Black, and Asian counts are people who are not Hispanic or Latino; Hispanic or Latino can be of any race. Shares are rounded and may not total 100.
Source: U.S. Census Bureau, American Community Survey 5-year estimates. Covers all residents, a separate universe from the IRS filer data. A 5-year estimate is an average over 2019–2023; compare years at least five apart, since consecutive windows overlap. How the data works.
Housing · what it costs to live here (ACS 2019–2023)
A repeat-sales index (how much the same homes changed in price), so it tracks the market over time rather than the current level. Source: Federal Housing Finance Agency, annual all-transactions HPI; the county series is FHFA’s developmental index.
Units authorized by residential building permits (new supply), summed from counties for the state and U.S. Permits are authorizations, not completions. Source: U.S. Census Bureau, Building Permits Survey.
Home value is what owners estimate their homes are worth, not recent sale prices. Source: U.S. Census Bureau, American Community Survey 5-year estimates (2019–2023), nominal dollars. How the data works.
Jobs and natural hazards
Sources: U.S. Bureau of Labor Statistics (LAUS) and FEMA. A disaster declaration marks federal assistance eligibility, not damage severity, and says nothing about why anyone moved. How the data works.
Source: U.S. Bureau of Labor Statistics (LAUS). Monthly unemployment for this county, not seasonally adjusted. Updated every month, so it moves faster than the annual average above. How the data works.
Elections
National maps →How Maui County, HI has voted. Certified returns, popular vote only. This is a separate dataset from the migration figures on this page.
| Year | Democratic | Republican | Other | Margin | Total |
|---|---|---|---|---|---|
| 2024 | 38,905 | 22,621 | 1,367 | D +25.9 | 62,893 |
| 2020 | 47,305 | 22,126 | 1,613 | D +35.4 | 71,044 |
| 2016 | 33,480 | 13,446 | 5,019 | D +38.6 | 51,945 |
| 2012 | 36,052 | 11,602 | 999 | D +50.3 | 48,653 |
| 2008 | 39,727 | 11,154 | 908 | D +55.2 | 51,789 |
| 2004 | 28,803 | 18,187 | 440 | D +22.4 | 47,430 |
| 2000 | 23,484 | 12,876 | 2,888 | D +27.0 | 39,248 |
Source: MIT Election Data and Science Lab county returns (CC0). Margins are the popular-vote gap as a share of all votes cast.
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