Demographic characteristics of United States workers who would benefit if the federal minimum wage were raised to $17 by 2030

 

Group Total workforce Directly affected Share directly affected Indirectly affected Share indirectly affected Total affected Share of group who are affected Group’s share of total affected
All workers 149,194,000 10,339,000 6.9% 11,908,000 8.0% 22,247,000 14.9% 100.0%
Gender                
Male 76,726,000 4,451,000 5.8% 5,068,000 6.6% 9,519,000 12.4% 42.8%
Female 72,468,000 5,888,000 8.1% 6,840,000 9.4% 12,729,000 17.6% 57.2%
Age group    
Teenager 6,018,000 1,839,000 30.5% 1,283,000 21.3% 3,121,000 51.9% 14.0%
Age 20 or older 143,175,000 8,501,000 5.9% 10,625,000 7.4% 19,126,000 13.4% 86.0%
Age 16 to 24 20,664,000 4,073,000 19.7% 3,697,000 17.9% 7,770,000 37.6% 34.9%
Age 25 to 39 51,199,000 2,710,000 5.3% 3,642,000 7.1% 6,352,000 12.4% 28.6%
Age 40 to 54 44,930,000 1,868,000 4.2% 2,435,000 5.4% 4,303,000 9.6% 19.3%
Age 55 or older 32,400,000 1,689,000 5.2% 2,133,000 6.6% 3,822,000 11.8% 17.2%
Race/ethnicity    
White, non-Hispanic 81,221,000 5,041,000 6.2% 5,981,000 7.4% 11,022,000 13.6% 49.5%
Black, non-Hispanic 17,892,000 1,934,000 10.8% 1,805,000 10.1% 3,738,000 20.9% 16.8%
Hispanic, any race 31,495,000 2,378,000 7.5% 2,875,000 9.1% 5,253,000 16.7% 23.6%
Asian, non-Hispanic 10,750,000 378,000 3.5% 559,000 5.2% 937,000 8.7% 4.2%
Other race/ethnicity 7,835,000 609,000 7.8% 689,000 8.8% 1,298,000 16.6% 5.8%
Not person of color 81,221,000 5,041,000 6.2% 5,981,000 7.4% 11,022,000 13.6% 49.5%
Person of color 67,973,000 5,298,000 7.8% 5,927,000 8.7% 11,226,000 16.5% 50.5%
Family status                
Married parent 35,929,000 1,333,000 3.7% 1,657,000 4.6% 2,991,000 8.3% 13.4%
Single parent 12,671,000 1,058,000 8.3% 1,240,000 9.8% 2,297,000 18.1% 10.3%
Married, no children 38,517,000 1,661,000 4.3% 2,232,000 5.8% 3,892,000 10.1% 17.5%
Unmarried, no children 62,077,000 6,288,000 10.1% 6,779,000 10.9% 13,067,000 21.0% 58.7%
Education    
Less than high school 13,072,000 2,014,000 15.4% 1,807,000 13.8% 3,822,000 29.2% 17.2%
High school 35,742,000 3,606,000 10.1% 4,225,000 11.8% 7,831,000 21.9% 35.2%
Some college, no degree 29,349,000 2,469,000 8.4% 3,000,000 10.2% 5,470,000 18.6% 24.6%
Associates degree 13,479,000 765,000 5.7% 1,012,000 7.5% 1,777,000 13.2% 8.0%
Bachelors degree or higher 57,552,000 1,485,000 2.6% 1,863,000 3.2% 3,348,000 5.8% 15.0%
Family income    
Less than $25,000 8,347,000 2,794,000 33.5% 1,773,000 21.2% 4,568,000 54.7% 20.5%
$25,000 – $49,999 18,473,000 1,999,000 10.8% 2,795,000 15.1% 4,795,000 26.0% 21.6%
$50,000 – $74,999 22,052,000 1,618,000 7.3% 2,183,000 9.9% 3,801,000 17.2% 17.1%
$75,000 – $99,999 20,745,000 1,109,000 5.3% 1,568,000 7.6% 2,677,000 12.9% 12.0%
$100,000 – $149,999 33,223,000 1,304,000 3.9% 1,804,000 5.4% 3,108,000 9.4% 14.0%
$150,000 or more 44,968,000 1,135,000 2.5% 1,548,000 3.4% 2,683,000 6.0% 12.1%
Family income-to-poverty ratio                
In Poverty 8,220,000 2,764,000 33.6% 1,470,000 17.9% 4,235,000 51.5% 19.0%
100 – 199% poverty 16,355,000 2,482,000 15.2% 3,123,000 19.1% 5,604,000 34.3% 25.2%
200-399% poverty 44,863,000 3,070,000 6.8% 4,274,000 9.5% 7,344,000 16.4% 33.0%
400%+ poverty 79,755,000 2,023,000 2.5% 3,041,000 3.8% 5,064,000 6.4% 22.8%
Work hours    
Part time (<20 hours per week) 9,584,000 1,545,000 16.1% 1,309,000 13.7% 2,854,000 29.8% 12.8%
Mid time (20-34 hours) 19,301,000 3,082,000 16.0% 3,162,000 16.4% 6,244,000 32.4% 28.1%
Full time (35+ hours) 120,308,000 5,712,000 4.7% 7,437,000 6.2% 13,149,000 10.9% 59.1%
Industry    
Agriculture, fishing, forestry, mining 1,968,000 155,000 7.9% 137,000 7.0% 292,000 14.8% 1.3%
Construction 8,959,000 474,000 5.3% 513,000 5.7% 987,000 11.0% 4.4%
Manufacturing 15,708,000 660,000 4.2% 778,000 4.9% 1,437,000 9.1% 6.5%
Wholesale trade 3,057,000 137,000 4.5% 151,000 4.9% 288,000 9.4% 1.3%
Retail trade 16,401,000 1,889,000 11.5% 1,911,000 11.6% 3,800,000 23.2% 17.1%
Transportation, warehousing, utilities 8,919,000 456,000 5.1% 511,000 5.7% 967,000 10.8% 4.3%
Information 2,787,000 116,000 4.2% 107,000 3.9% 223,000 8.0% 1.0%
Finance, insurance, real estate 9,580,000 273,000 2.8% 311,000 3.2% 584,000 6.1% 2.6%
Professional, science, management services 11,890,000 268,000 2.3% 262,000 2.2% 530,000 4.5% 2.4%
Administrative, support, waste services 5,815,000 483,000 8.3% 543,000 9.3% 1,026,000 17.6% 4.6%
Educational services 15,231,000 1,027,000 6.7% 1,008,000 6.6% 2,035,000 13.4% 9.1%
Healthcare, social assistance 21,744,000 1,320,000 6.1% 1,390,000 6.4% 2,710,000 12.5% 12.2%
Arts, entertainment, recreational services 2,998,000 339,000 11.3% 418,000 13.9% 757,000 25.2% 3.4%
Accommodation 1,327,000 161,000 12.2% 229,000 17.2% 390,000 29.4% 1.8%
Restaurants 9,223,000 1,851,000 20.1% 2,498,000 27.1% 4,349,000 47.2% 19.5%
Other services 5,898,000 526,000 8.9% 907,000 15.4% 1,433,000 24.3% 6.4%
Public administration 7,687,000 205,000 2.7% 234,000 3.0% 439,000 5.7% 2.0%
Tipped occupations    
Not tipped 145,714,000 9,753,000 6.7% 9,703,000 6.7% 19,456,000 13.4% 87.5%
Tipped occupations 3,480,000 587,000 16.9% 2,205,000 63.4% 2,792,000 80.2% 12.5%
Sector                
For profit 110,647,000 8,287,000 7.5% 9,817,000 8.9% 18,104,000 16.4% 81.4%
Nonprofit 14,671,000 857,000 5.8% 866,000 5.9% 1,723,000 11.7% 7.7%
Government 23,875,000 1,195,000 5.0% 1,225,000 5.1% 2,421,000 10.1% 10.9%
Economic Policy Institute

Notes: Values reflect the population estimated to be affected by the proposed change in the federal minimum wage. Wage changes resulting from scheduled state and local minimum wage laws are accounted for by EPI’s Minimum Wage Simulation Model. Totals may not sum due to rounding. Shares calculated from unrounded values. Directly affected workers will see their wages rise as the new minimum wage rate will exceed their current hourly pay. Indirectly affected workers have a wage rate just above the new minimum wage (between the new minimum wage and 115% of the new minimum). They will receive a raise as employer pay scales are adjusted upward to reflect the new minimum wage.

Source: Economic Policy Institute Minimum Wage Simulation Model; see Technical Methodology by Cooper, Mokhiber, and Zipperer (2019).

View the underlying data on epi.org.