U.S. states ranked by working from home

Compare the share of workers who usually work from home in all 50 states. Uses 2020–2024 ACS commuting data with a worker denominator and clear limitations.

Which states have the largest work-from-home shares?

Colorado has the highest point estimate, 21.0%, for 2020–2024. Next are Washington (19.8%) and Maryland (19.3%) .

Colorado leads the point estimates, followed by Washington. These figures describe a five-year period that includes major pandemic-era commuting changes, rather than remote-work prevalence in September 2026.

The denominator is workers age 16 and older. Working from home is the source-defined usual commuting category, not a count of everyone who occasionally answers email at home.

Reference period
2020–2024
Original source
U.S. Census Bureau · ACS 2024 five-year detailed tables, B08301
Source published 2026-01-29
Ordering
50 states, highest exact point estimate first; no composite score
Data and methods reviewed
September 30, 2026 · data snapshot apd-2026-10-01-r3

Complete 50-state ranking table

Filter the list or change its display order. Positions always refer to the full 50-state ordering. Derived percentages do not have calculated margins of error here; nearby positions are not confirmed statistical ranks.

Showing all 50 states.

Working from home·2020–2024· 50 states · positions use unrounded values
Position State Percentage Count in numerator Source denominator
1 Colorado 21.0% 645,882 3,074,682
2 Washington 19.8% 749,107 3,787,614
3 Maryland 19.3% 604,400 3,127,685
4 Oregon 19.0% 384,471 2,025,499
5 Massachusetts 18.6% 676,607 3,629,298
6 Arizona 18.4% 620,550 3,379,754
7 Virginia 18.3% 793,064 4,327,663
8 Minnesota 17.6% 517,984 2,939,889
9 Utah 17.6% 297,541 1,689,998
10 California 17.2% 3,154,824 18,371,933
11 Vermont 16.9% 56,230 332,501
12 New Hampshire 16.8% 123,687 734,959
13 New Jersey 16.8% 770,990 4,582,367
14 North Carolina 16.3% 831,069 5,084,515
15 Connecticut 16.0% 291,021 1,814,693
16 Georgia 15.9% 819,556 5,149,633
17 Maine 15.9% 107,940 679,677
18 Illinois 15.9% 975,779 6,152,715
19 Florida 15.7% 1,623,149 10,356,895
20 Pennsylvania 15.6% 969,334 6,210,797
21 Delaware 15.0% 72,454 481,641
22 New York 14.9% 1,389,935 9,306,567
23 Texas 14.4% 2,051,250 14,280,889
24 Michigan 13.5% 624,313 4,639,810
25 Idaho 13.3% 120,392 906,878
26 Wisconsin 13.1% 390,479 2,984,569
27 Missouri 13.0% 384,872 2,959,377
28 Rhode Island 13.0% 71,064 547,074
29 Ohio 13.0% 727,365 5,608,273
30 Tennessee 12.9% 426,680 3,314,309
31 Montana 12.5% 67,716 540,910
32 New Mexico 12.2% 111,722 916,223
33 Nevada 11.9% 176,710 1,479,885
34 Kansas 11.8% 171,485 1,454,367
35 South Carolina 11.5% 279,633 2,425,248
36 Iowa 11.3% 182,141 1,611,395
37 Nebraska 11.0% 112,009 1,013,728
38 Indiana 10.7% 348,650 3,260,273
39 Kentucky 10.2% 206,467 2,017,413
40 Alaska 9.7% 34,435 353,321
41 South Dakota 9.7% 44,388 457,555
42 Hawaii 9.6% 66,904 696,107
43 Wyoming 9.4% 26,834 286,028
44 Oklahoma 9.4% 170,373 1,816,948
45 West Virginia 9.1% 66,491 734,007
46 Alabama 8.8% 196,829 2,229,079
47 Arkansas 8.8% 116,719 1,326,796
48 North Dakota 8.1% 33,149 407,488
49 Louisiana 8.1% 161,264 1,988,865
50 Mississippi 5.9% 73,435 1,243,121

The downloads preserve exact values, IDs, source counts, uncertainty status, source release and original ordering. The CSV is the full 50-state table, including when the on-page filter hides rows.

National benchmark and District of Columbia

The United States value is 15.1%. The District of Columbia value is 33.0%. Both use the same source product as the state table. They do not receive a numbered state position. The national estimate is a source value or an approved calculation from national source counts; it is not an average of the state medians or percentages.

What the lower end of this table means

Mississippi has the lowest point estimate, 5.9%. The last three entries are North Dakota (8.1%), Louisiana (8.1%), Mississippi (5.9%) . This ordering is specific to working from home and 2020–2024; it is not a verdict on the state’s overall living conditions.

Usual commute is not a hybrid-work schedule

The ACS commuting question describes how a worker usually gets to work. A hybrid worker may appear in a travel category depending on the reported usual pattern. This dataset does not supply days per week at home, remote-work eligibility or employer policies.

The survey period spans changing working patterns

Pooling 2020–2024 provides a common product across state and county profiles. It also averages across a period of substantial changes. This ranking cannot be labeled a current-year remote-work rate or used as an annual trend. Its frozen definition makes cross-state context reproducible without pretending to measure today’s arrangements.

Definition, calculation and uncertainty

Workers age 16 and older who usually worked from home as a share of all workers age 16 and older. The survey describes the usual journey to work. It is not a complete measure of hybrid work or all travel.

100 × (B08301_021E) / (B08301_001E)

Source component margins of error are retained in the raw evidence. A derived percentage needs an appropriate uncertainty calculation; adding component margins of error would not provide one. This table orders point estimates without statistical rank intervals. Sorting uses full stored precision. Exact equal values share a position; the next position skips the tied places. A missing, suppressed or unavailable estimate would be excluded and identified rather than converted to zero.

Sources and reproducibility

Original source table and documentation · Census guidance on comparing ACS estimates · Population Estimates Program methods .

Editorial ordering release apd-editorial-2026-10-01-r4 uses the unchanged data snapshot apd-2026-10-01-r3. Cite the Census source product, table, 2020–2024, the indicator definition and this page’s snapshot. The retained JSON query makes the inclusion rule, calculation and sort direction explicit. An upstream revision will require a new approved release rather than rewriting this result.

Related state rankings

Inspect the underlying indicator and raw source evidence .