Who wins the H-1B lottery?
The H-1B is the main US temporary work visa for college-educated foreign professionals. Employers want far more of them than Congress allows, so the visas are allocated via lottery. Federal records obtained by Bloomberg under the Freedom of Information Act (FOIA) cover petitions from the four FY2021–24 lotteries. Part three of this series examines where in the country that work is based and which employers file for it.
H-1B Worker Geography
The odds are one in five
The H-1B is the largest US temporary work visa for foreign professionals in “specialty occupations.” This means a job that requires a bachelor’s degree or higher in that specific field. H-1B visa holders range from software engineers to accountants to doctors. Congress caps new visas at 85,000 a year: 65,000, plus 20,000 for people holding a graduate degree from a US university. Employers submit registrations for far more, so each spring the government runs a lottery. Across the four FY2021–24 lotteries, employers submitted 1.8 million registrations; about one in five ended in an approved H-1B petition. Those 363,024 approvals are the basis for the analysis that follows.
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Employers, not workers, enter the lottery. A company submits a registration naming each person it wants to sponsor (the “beneficiary”), and US Citizenship and Immigration Services (USCIS) draws winners from eligible registrations. Each registration drawn allows one petition to be filed for that worker, and the worker can take the job only if USCIS ultimately approves the petition.
Employers submitted 1,847,661 registrations across the four FY2021–24 lotteries, of which 1,804,286 met USCIS eligibility requirements. Just under a third were drawn in the lottery. A petition was filed on two-thirds of those draws—some employers did not end up submitting petitions, despite winning the draw—and one registration in five ended in an approved petition. The following analysis is based on the 363,024 approved petitions that meet our sample criteria, which the notes set out in full. Universities and research organizations are not part of this data as they are exempt from the cap and hire outside the lottery.
Half the petitions are in four states
If you want to know where H-1B workers are based, you can skip most of the map. Half of approved H-1B petition holders work in just four states: California, Texas, New Jersey, and New York. You might assume this just tracks where jobs are. It doesn't: those four states hold only 29 percent of US private-sector jobs.
Two states that stand out when comparing the ratio of H-1B jobs and private-sector jobs are Washington and Florida, near-mirror images of each other. Washington holds 6.9 percent of the H-1B work but only 2.2 percent of the country's private-sector jobs. Florida is the reverse: It holds 7.1 percent of the private-sector jobs but only 2.8 percent of the H-1B work. Only eleven of the fifty states, plus the District of Columbia, hold as large a share of the country's approved H-1B petitions as they do of its private-sector jobs. Everywhere else the H-1B share falls short, often by a lot.
Additional notes & methods
What the maps show and for which petitions. The map on the left shows each state's share of the 362,758 approved H-1B petitions naming a work-site state in the fifty states and DC, excluding Alaska and Hawaii (both listed in the table). The map on the right shows, for each state, its share of the approved H-1B petitions divided by its share of US private-sector payroll jobs. Two small groups of petitions appear on neither map: 65 petitions at work sites in the US territories and 201 petitions that name no work-site state at all.
US private-sector jobs. This count excludes government, the self-employed, and most farm and railroad workers.
H-1B jobs are concentrated in big metro areas
H-1B work concentrates in metropolitan areas far more tightly than US private-sector employment. Of the approved petitions, 99.1 percent sit in a metro area, compared to 89.7 percent of US private-sector jobs.
Other areas barely register. Micro areas—which hold 6.9 percent of the nation's jobs—have only 0.7 percent of the H-1B work. Smaller areas outside any metro or micro area hold 3.4 percent of the private-sector jobs and 0.2 percent of the H-1B work.
Additional notes & methods
The graph uses the Office of Management and Budget's July 2023 definition of statistical areas, which sorts counties into statistical areas built around population centers:
- A metropolitan statistical area, or metro area for short, is an urban area of 50,000 people or more plus the surrounding counties whose commuters drive into it.
- A micropolitan statistical area, or micro area for short, is an urban area of 10,000 to 50,000 people plus the surrounding counties whose commuters drive into it.
- A county that belongs to neither metro nor micro area is a non-CBSA area.
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We exclude from the data jobs in the US territories and jobs that cannot be located. The denominator in each chart includes jobs in metro, micro, and non-CBSA areas. For reference, the petitions in non-CBSA areas are 741 (0.2 percent of located work) and the US jobs in these areas are 3.4 percent of private-sector jobs.
The H-1B sample. From 363,024 approved petitions we remove the 65 at work sites in the US territories and the 761 that cannot be placed in any location, leaving a total of 362,198 approved petitions, including jobs in metro, micro, and non-CBSA areas.
The US benchmark. From 135,748,407 private-sector jobs we remove 7,534,819 jobs the Census Bureau cannot place in any county, leaving a total of 128,213,588 jobs located in metro, micro, and non-CBSA areas.
H-1B work piles up in a handful of metropolitan areas. The five biggest are New York, Dallas, San Jose, Seattle, and San Francisco. Together they hold 44 percent of the H-1B work while they employ only 13 percent of the overall country's private-sector workers. New York alone accounts for 14 percent of the H-1B work.
Zooming out a little farther, the top 10 percent of metro areas (by approved H-1B petitions) hosts 88 percent of the H-1B jobs.
Assessing the country as a whole, H-1B work sites span 385 metro areas, but half of them recorded fewer than thirty-seven approved petitions across all four years.
| New York-Newark-Jersey City, NY-NJ | 50,535 | 13.95% | 6.40% | 2.18Ă— |
| Dallas-Fort Worth-Arlington, TX | 32,773 | 9.05% | 2.68% | 3.37Ă— |
| San Jose-Sunnyvale-Santa Clara, CA | 29,578 | 8.17% | 0.89% | 9.13Ă— |
| Seattle-Tacoma-Bellevue, WA | 24,793 | 6.85% | 1.44% | 4.76Ă— |
| San Francisco-Oakland-Fremont, CA | 20,661 | 5.70% | 1.84% | 3.10Ă— |
| Chicago-Naperville-Elgin, IL-IN | 15,677 | 4.33% | 3.26% | 1.33Ă— |
| Washington-Arlington-Alexandria, DC-VA-MD-WV | 15,543 | 4.29% | 2.16% | 1.98Ă— |
| Boston-Cambridge-Newton, MA-NH | 13,111 | 3.62% | 2.03% | 1.79Ă— |
| Los Angeles-Long Beach-Anaheim, CA | 12,105 | 3.34% | 4.26% | 0.78Ă— |
| Atlanta-Sandy Springs-Roswell, GA | 11,829 | 3.27% | 2.00% | 1.63Ă— |
| Detroit-Warren-Dearborn, MI | 8,448 | 2.33% | 1.39% | 1.68Ă— |
| Houston-Pasadena-The Woodlands, TX | 7,951 | 2.20% | 2.13% | 1.03Ă— |
| Austin-Round Rock-San Marcos, TX | 7,904 | 2.18% | 0.77% | 2.84Ă— |
| Philadelphia-Camden-Wilmington, PA-NJ-DE-MD | 7,430 | 2.05% | 2.16% | 0.95Ă— |
| Phoenix-Mesa-Chandler, AZ | 4,976 | 1.37% | 1.56% | 0.88Ă— |
| San Diego-Chula Vista-Carlsbad, CA | 4,204 | 1.16% | 1.04% | 1.11Ă— |
| Miami-Fort Lauderdale-West Palm Beach, FL | 3,828 | 1.06% | 1.82% | 0.58Ă— |
| Raleigh-Cary, NC | 3,578 | 0.99% | 0.46% | 2.15Ă— |
| Trenton-Princeton, NJ | 3,468 | 0.96% | 0.16% | 6.13Ă— |
| Charlotte-Concord-Gastonia, NC-SC | 3,409 | 0.94% | 0.92% | 1.02Ă— |
| College Station-Bryan, TX | 3,350 | 0.92% | 0.06% | 14.29Ă— |
| Minneapolis-St. Paul-Bloomington, MN-WI | 3,326 | 0.92% | 1.44% | 0.64Ă— |
| Portland-Vancouver-Hillsboro, OR-WA | 2,913 | 0.80% | 0.85% | 0.95Ă— |
| Tampa-St. Petersburg-Clearwater, FL | 2,875 | 0.79% | 0.96% | 0.83Ă— |
| Columbus, OH | 2,758 | 0.76% | 0.73% | 1.05Ă— |
| Durham-Chapel Hill, NC | 2,493 | 0.69% | 0.23% | 2.99Ă— |
| St. Louis, MO-IL | 2,385 | 0.66% | 0.97% | 0.68Ă— |
| Denver-Aurora-Centennial, CO | 2,193 | 0.61% | 1.07% | 0.57Ă— |
| Pittsburgh, PA | 2,122 | 0.59% | 0.86% | 0.68Ă— |
| Baltimore-Columbia-Towson, MD | 2,000 | 0.55% | 0.93% | 0.60Ă— |
| Cincinnati, OH-KY-IN | 1,747 | 0.48% | 0.78% | 0.62Ă— |
| Indianapolis-Carmel-Greenwood, IN | 1,731 | 0.48% | 0.74% | 0.64Ă— |
| Hartford-West Hartford-East Hartford, CT | 1,688 | 0.47% | 0.41% | 1.15Ă— |
| Nashville-Davidson--Murfreesboro--Franklin, TN | 1,525 | 0.42% | 0.74% | 0.57Ă— |
| Sacramento-Roseville-Folsom, CA | 1,413 | 0.39% | 0.63% | 0.62Ă— |
| Fayetteville-Springdale-Rogers, AR | 1,398 | 0.39% | 0.18% | 2.15Ă— |
| Orlando-Kissimmee-Sanford, FL | 1,395 | 0.39% | 0.93% | 0.41Ă— |
| Kansas City, MO-KS | 1,350 | 0.37% | 0.77% | 0.48Ă— |
| Salt Lake City-Murray, UT | 1,335 | 0.37% | 0.53% | 0.70Ă— |
| San Antonio-New Braunfels, TX | 1,269 | 0.35% | 0.74% | 0.47Ă— |
| Jacksonville, FL | 1,120 | 0.31% | 0.50% | 0.61Ă— |
| Bridgeport-Stamford-Danbury, CT | 1,089 | 0.30% | 0.31% | 0.97Ă— |
| Richmond, VA | 1,070 | 0.30% | 0.44% | 0.67Ă— |
| Milwaukee-Waukesha, WI | 1,025 | 0.28% | 0.60% | 0.48Ă— |
| Memphis, TN-MS-AR | 912 | 0.25% | 0.42% | 0.59Ă— |
| Providence-Warwick, RI-MA | 908 | 0.25% | 0.50% | 0.51Ă— |
| Cleveland, OH | 865 | 0.24% | 0.74% | 0.32Ă— |
| Riverside-San Bernardino-Ontario, CA | 832 | 0.23% | 1.04% | 0.22Ă— |
| Worcester, MA | 816 | 0.23% | 0.24% | 0.93Ă— |
| Louisville/Jefferson County, KY-IN | 771 | 0.21% | 0.49% | 0.43Ă— |
| Albany-Schenectady-Troy, NY | 733 | 0.20% | 0.27% | 0.74Ă— |
| Columbus, IN | 655 | 0.18% | 0.04% | 5.09Ă— |
| Ann Arbor, MI | 616 | 0.17% | 0.12% | 1.44Ă— |
| Oxnard-Thousand Oaks-Ventura, CA | 599 | 0.17% | 0.21% | 0.79Ă— |
| Columbia, SC | 592 | 0.16% | 0.24% | 0.69Ă— |
| Madison, WI | 592 | 0.16% | 0.27% | 0.60Ă— |
| Des Moines-West Des Moines, IA | 555 | 0.15% | 0.27% | 0.56Ă— |
| Omaha, NE-IA | 555 | 0.15% | 0.34% | 0.45Ă— |
| Bloomington, IL | 527 | 0.15% | 0.06% | 2.50Ă— |
| Boise City, ID | 512 | 0.14% | 0.24% | 0.58Ă— |
| Las Vegas-Henderson-North Las Vegas, NV | 498 | 0.14% | 0.72% | 0.19Ă— |
| Greensboro-High Point, NC | 451 | 0.12% | 0.26% | 0.48Ă— |
| Manchester-Nashua, NH | 445 | 0.12% | 0.14% | 0.86Ă— |
| Buffalo-Cheektowaga, NY | 436 | 0.12% | 0.37% | 0.32Ă— |
| Peoria, IL | 418 | 0.12% | 0.12% | 0.96Ă— |
| Rochester, NY | 401 | 0.11% | 0.34% | 0.33Ă— |
| Dayton-Kettering-Beavercreek, OH | 395 | 0.11% | 0.25% | 0.44Ă— |
| New Orleans-Metairie, LA | 380 | 0.10% | 0.31% | 0.34Ă— |
| Allentown-Bethlehem-Easton, PA-NJ | 376 | 0.10% | 0.27% | 0.38Ă— |
| Boulder, CO | 374 | 0.10% | 0.12% | 0.84Ă— |
| Harrisburg-Carlisle, PA | 368 | 0.10% | 0.23% | 0.45Ă— |
| Grand Rapids-Wyoming-Kentwood, MI | 356 | 0.10% | 0.41% | 0.24Ă— |
| Lansing-East Lansing, MI | 351 | 0.10% | 0.13% | 0.73Ă— |
| Virginia Beach-Chesapeake-Norfolk, VA-NC | 351 | 0.10% | 0.49% | 0.20Ă— |
| Oklahoma City, OK | 340 | 0.09% | 0.41% | 0.23Ă— |
| New Haven, CT | 331 | 0.09% | 0.20% | 0.45Ă— |
| Albuquerque, NM | 316 | 0.09% | 0.24% | 0.36Ă— |
| Stockton-Lodi, CA | 305 | 0.08% | 0.17% | 0.50Ă— |
| Greenville-Anderson-Greer, SC | 302 | 0.08% | 0.29% | 0.29Ă— |
| Provo-Orem-Lehi, UT | 291 | 0.08% | 0.21% | 0.38Ă— |
| Birmingham, AL | 289 | 0.08% | 0.37% | 0.22Ă— |
| Baton Rouge, LA | 256 | 0.07% | 0.27% | 0.27Ă— |
| Little Rock-North Little Rock-Conway, AR | 256 | 0.07% | 0.24% | 0.30Ă— |
| Cedar Rapids, IA | 253 | 0.07% | 0.10% | 0.71Ă— |
| Colorado Springs, CO | 244 | 0.07% | 0.20% | 0.33Ă— |
| Santa Maria-Santa Barbara, CA | 237 | 0.07% | 0.12% | 0.54Ă— |
| Tucson, AZ | 226 | 0.06% | 0.26% | 0.24Ă— |
| Reno, NV | 225 | 0.06% | 0.18% | 0.34Ă— |
| Davenport-Moline-Rock Island, IA-IL | 222 | 0.06% | 0.13% | 0.49Ă— |
| Champaign-Urbana, IL | 217 | 0.06% | 0.06% | 0.99Ă— |
| Syracuse, NY | 191 | 0.05% | 0.20% | 0.26Ă— |
| Tulsa, OK | 187 | 0.05% | 0.30% | 0.17Ă— |
| Cape Coral-Fort Myers, FL | 186 | 0.05% | 0.20% | 0.26Ă— |
| Akron, OH | 183 | 0.05% | 0.23% | 0.22Ă— |
| Charleston-North Charleston, SC | 181 | 0.05% | 0.24% | 0.21Ă— |
| Wichita, KS | 172 | 0.05% | 0.20% | 0.23Ă— |
| Chattanooga, TN-GA | 160 | 0.04% | 0.18% | 0.24Ă— |
| Waterbury-Shelton, CT | 157 | 0.04% | 0.11% | 0.39Ă— |
| Gainesville, FL | 152 | 0.04% | 0.08% | 0.50Ă— |
| Toledo, OH | 136 | 0.04% | 0.20% | 0.18Ă— |
| Palm Bay-Melbourne-Titusville, FL | 135 | 0.04% | 0.15% | 0.25Ă— |
| Tallahassee, FL | 132 | 0.04% | 0.09% | 0.39Ă— |
| Portland-South Portland, ME | 126 | 0.03% | 0.20% | 0.18Ă— |
| Rochester, MN | 123 | 0.03% | 0.09% | 0.37Ă— |
| Fort Collins-Loveland, CO | 122 | 0.03% | 0.11% | 0.32Ă— |
| Racine-Mount Pleasant, WI | 122 | 0.03% | 0.05% | 0.64Ă— |
| Winston-Salem, NC | 121 | 0.03% | 0.19% | 0.17Ă— |
| Lafayette-West Lafayette, IN | 120 | 0.03% | 0.06% | 0.54Ă— |
| Knoxville, TN | 118 | 0.03% | 0.28% | 0.12Ă— |
| Bloomington, IN | 116 | 0.03% | 0.04% | 0.72Ă— |
| Lafayette, LA | 116 | 0.03% | 0.12% | 0.26Ă— |
| Lancaster, PA | 115 | 0.03% | 0.19% | 0.17Ă— |
| Fresno, CA | 111 | 0.03% | 0.25% | 0.12Ă— |
| Kalamazoo-Portage, MI | 109 | 0.03% | 0.09% | 0.34Ă— |
| Urban Honolulu, HI | 109 | 0.03% | 0.26% | 0.12Ă— |
| Kiryas Joel-Poughkeepsie-Newburgh, NY | 107 | 0.03% | 0.17% | 0.17Ă— |
| Jackson, MS | 105 | 0.03% | 0.18% | 0.16Ă— |
| Lincoln, NE | 103 | 0.03% | 0.12% | 0.24Ă— |
| Santa Cruz-Watsonville, CA | 100 | 0.03% | 0.06% | 0.45Ă— |
| Niles, MI | 97 | 0.03% | 0.04% | 0.66Ă— |
| Fargo, ND-MN | 91 | 0.03% | 0.10% | 0.26Ă— |
| Santa Rosa-Petaluma, CA | 91 | 0.03% | 0.14% | 0.18Ă— |
| Monroe, LA | 89 | 0.02% | 0.06% | 0.43Ă— |
| Beaumont-Port Arthur, TX | 86 | 0.02% | 0.10% | 0.24Ă— |
| Charlottesville, VA | 86 | 0.02% | 0.07% | 0.36Ă— |
| El Paso, TX | 84 | 0.02% | 0.19% | 0.12Ă— |
| Springfield, IL | 83 | 0.02% | 0.06% | 0.37Ă— |
| Spartanburg, SC | 81 | 0.02% | 0.12% | 0.19Ă— |
| Springfield, MA | 81 | 0.02% | 0.13% | 0.17Ă— |
| Lexington-Fayette, KY | 80 | 0.02% | 0.18% | 0.12Ă— |
| Fort Wayne, IN | 77 | 0.02% | 0.16% | 0.13Ă— |
| Norwich-New London-Willimantic, CT | 76 | 0.02% | 0.08% | 0.27Ă— |
| Bakersfield-Delano, CA | 73 | 0.02% | 0.16% | 0.12Ă— |
| Lakeland-Winter Haven, FL | 72 | 0.02% | 0.17% | 0.11Ă— |
| Blacksburg-Christiansburg-Radford, VA | 71 | 0.02% | 0.04% | 0.46Ă— |
| North Port-Bradenton-Sarasota, FL | 70 | 0.02% | 0.21% | 0.09Ă— |
| Topeka, KS | 69 | 0.02% | 0.07% | 0.29Ă— |
| Clarksville, TN-KY | 68 | 0.02% | 0.06% | 0.31Ă— |
| Ithaca, NY | 67 | 0.02% | 0.04% | 0.49Ă— |
| Reading, PA | 67 | 0.02% | 0.12% | 0.15Ă— |
| Scranton--Wilkes-Barre, PA | 67 | 0.02% | 0.18% | 0.10Ă— |
| Greeley, CO | 66 | 0.02% | 0.08% | 0.23Ă— |
| Green Bay, WI | 63 | 0.02% | 0.12% | 0.14Ă— |
| Rockford, IL | 63 | 0.02% | 0.10% | 0.18Ă— |
| Deltona-Daytona Beach-Ormond Beach, FL | 62 | 0.02% | 0.14% | 0.12Ă— |
| South Bend-Mishawaka, IN-MI | 62 | 0.02% | 0.10% | 0.17Ă— |
| Binghamton, NY | 60 | 0.02% | 0.06% | 0.27Ă— |
| Jefferson City, MO | 60 | 0.02% | 0.04% | 0.39Ă— |
| Montgomery, AL | 60 | 0.02% | 0.10% | 0.16Ă— |
| Erie, PA | 57 | 0.02% | 0.09% | 0.18Ă— |
| Huntsville, AL | 57 | 0.02% | 0.16% | 0.10Ă— |
| Naples-Marco Island, FL | 57 | 0.02% | 0.11% | 0.14Ă— |
| Santa Fe, NM | 57 | 0.02% | 0.04% | 0.43Ă— |
| Auburn-Opelika, AL | 56 | 0.02% | 0.04% | 0.36Ă— |
| Killeen-Temple, TX | 56 | 0.02% | 0.09% | 0.18Ă— |
| Ames, IA | 55 | 0.02% | 0.03% | 0.49Ă— |
| Corpus Christi, TX | 54 | 0.01% | 0.12% | 0.12Ă— |
| Grand Island, NE | 54 | 0.01% | 0.03% | 0.53Ă— |
| Midland, MI | 54 | 0.01% | 0.03% | 0.55Ă— |
| Savannah, GA | 54 | 0.01% | 0.13% | 0.11Ă— |
| Augusta-Richmond County, GA-SC | 53 | 0.01% | 0.15% | 0.10Ă— |
| Burlington-South Burlington, VT | 53 | 0.01% | 0.08% | 0.19Ă— |
| Roanoke, VA | 53 | 0.01% | 0.11% | 0.14Ă— |
| Sioux Falls, SD-MN | 53 | 0.01% | 0.12% | 0.12Ă— |
| Midland, TX | 51 | 0.01% | 0.07% | 0.19Ă— |
| Missoula, MT | 51 | 0.01% | 0.04% | 0.34Ă— |
| York-Hanover, PA | 51 | 0.01% | 0.14% | 0.10Ă— |
| Decatur, IL | 50 | 0.01% | 0.03% | 0.40Ă— |
| Evansville, IN | 50 | 0.01% | 0.11% | 0.13Ă— |
| Iowa City, IA | 48 | 0.01% | 0.06% | 0.22Ă— |
| Columbus, GA-AL | 46 | 0.01% | 0.08% | 0.17Ă— |
| Kennewick-Richland, WA | 44 | 0.01% | 0.08% | 0.15Ă— |
| Ogden, UT | 44 | 0.01% | 0.15% | 0.08Ă— |
| Salinas, CA | 44 | 0.01% | 0.09% | 0.13Ă— |
| Mobile, AL | 42 | 0.01% | 0.12% | 0.10Ă— |
| Modesto, CA | 42 | 0.01% | 0.12% | 0.10Ă— |
| Saginaw, MI | 42 | 0.01% | 0.06% | 0.19Ă— |
| Tuscaloosa, AL | 42 | 0.01% | 0.07% | 0.17Ă— |
| Helena, MT | 41 | 0.01% | 0.02% | 0.49Ă— |
| Corvallis, OR | 40 | 0.01% | 0.02% | 0.53Ă— |
| Spokane-Spokane Valley, WA | 40 | 0.01% | 0.17% | 0.07Ă— |
| Dover, DE | 38 | 0.01% | 0.05% | 0.23Ă— |
| Eugene-Springfield, OR | 38 | 0.01% | 0.10% | 0.11Ă— |
| Hickory-Lenoir-Morganton, NC | 38 | 0.01% | 0.11% | 0.10Ă— |
| Lynchburg, VA | 38 | 0.01% | 0.08% | 0.14Ă— |
| Olympia-Lacey-Tumwater, WA | 38 | 0.01% | 0.06% | 0.17Ă— |
| Salem, OR | 38 | 0.01% | 0.10% | 0.10Ă— |
| Flint, MI | 37 | 0.01% | 0.09% | 0.11Ă— |
| San Luis Obispo-Paso Robles, CA | 37 | 0.01% | 0.08% | 0.13Ă— |
| Vallejo, CA | 37 | 0.01% | 0.09% | 0.11Ă— |
| Hagerstown-Martinsburg, MD-WV | 36 | 0.01% | 0.07% | 0.13Ă— |
| Jackson, MI | 36 | 0.01% | 0.04% | 0.25Ă— |
| State College, PA | 36 | 0.01% | 0.03% | 0.29Ă— |
| Charleston, WV | 35 | 0.01% | 0.06% | 0.16Ă— |
| Columbia, MO | 35 | 0.01% | 0.07% | 0.14Ă— |
| Sherman-Denison, TX | 35 | 0.01% | 0.03% | 0.30Ă— |
| Waco, TX | 35 | 0.01% | 0.09% | 0.11Ă— |
| Athens-Clarke County, GA | 34 | 0.01% | 0.06% | 0.17Ă— |
| Gulfport-Biloxi, MS | 34 | 0.01% | 0.10% | 0.09Ă— |
| Lubbock, TX | 34 | 0.01% | 0.10% | 0.09Ă— |
| Waterloo-Cedar Falls, IA | 34 | 0.01% | 0.06% | 0.16Ă— |
| Amherst Town-Northampton, MA | 33 | 0.01% | 0.04% | 0.24Ă— |
| McAllen-Edinburg-Mission, TX | 33 | 0.01% | 0.17% | 0.05Ă— |
| Utica-Rome, NY | 33 | 0.01% | 0.07% | 0.12Ă— |
| Kokomo, IN | 32 | 0.01% | 0.02% | 0.38Ă— |
| Pensacola-Ferry Pass-Brent, FL | 32 | 0.01% | 0.11% | 0.08Ă— |
| Sheboygan, WI | 32 | 0.01% | 0.04% | 0.22Ă— |
| Springfield, MO | 32 | 0.01% | 0.15% | 0.06Ă— |
| Tyler, TX | 32 | 0.01% | 0.08% | 0.12Ă— |
| Wilmington, NC | 32 | 0.01% | 0.12% | 0.07Ă— |
| Appleton, WI | 31 | 0.01% | 0.09% | 0.10Ă— |
| Elkhart-Goshen, IN | 31 | 0.01% | 0.11% | 0.08Ă— |
| Odessa, TX | 31 | 0.01% | 0.05% | 0.18Ă— |
| Battle Creek, MI | 30 | 0.01% | 0.04% | 0.22Ă— |
| Visalia, CA | 30 | 0.01% | 0.08% | 0.10Ă— |
| Florence, SC | 29 | 0.01% | 0.06% | 0.12Ă— |
| Oshkosh-Neenah, WI | 29 | 0.01% | 0.07% | 0.11Ă— |
| Rocky Mount, NC | 29 | 0.01% | 0.04% | 0.20Ă— |
| Bellingham, WA | 28 | 0.01% | 0.06% | 0.13Ă— |
| Burlington, NC | 28 | 0.01% | 0.05% | 0.17Ă— |
| Macon-Bibb County, GA | 28 | 0.01% | 0.07% | 0.11Ă— |
| Kenosha, WI | 27 | 0.01% | 0.05% | 0.15Ă— |
| Lawrence, KS | 27 | 0.01% | 0.03% | 0.26Ă— |
| Pittsfield, MA | 27 | 0.01% | 0.04% | 0.19Ă— |
| Asheville, NC | 26 | 0.01% | 0.13% | 0.06Ă— |
| Barnstable Town, MA | 26 | 0.01% | 0.06% | 0.12Ă— |
| Canton-Massillon, OH | 26 | 0.01% | 0.11% | 0.06Ă— |
| Gainesville, GA | 26 | 0.01% | 0.07% | 0.11Ă— |
| Punta Gorda, FL | 26 | 0.01% | 0.03% | 0.22Ă— |
| Atlantic City-Hammonton, NJ | 25 | 0.01% | 0.10% | 0.07Ă— |
| Dalton, GA | 25 | 0.01% | 0.05% | 0.15Ă— |
| Lake Charles, LA | 25 | 0.01% | 0.06% | 0.11Ă— |
| Cape Girardeau, MO-IL | 24 | 0.01% | 0.03% | 0.21Ă— |
| Merced, CA | 24 | 0.01% | 0.04% | 0.18Ă— |
| Napa, CA | 24 | 0.01% | 0.05% | 0.13Ă— |
| Port St. Lucie, FL | 24 | 0.01% | 0.11% | 0.06Ă— |
| Fort Smith, AR-OK | 23 | 0.01% | 0.06% | 0.10Ă— |
| Youngstown-Warren, OH | 23 | 0.01% | 0.11% | 0.06Ă— |
| Chambersburg, PA | 22 | 0.01% | 0.04% | 0.15Ă— |
| Kingsport-Bristol, TN-VA | 22 | 0.01% | 0.08% | 0.08Ă— |
| Mankato, MN | 22 | 0.01% | 0.04% | 0.16Ă— |
| Cheyenne, WY | 21 | 0.01% | 0.03% | 0.21Ă— |
| Greenville, NC | 21 | 0.01% | 0.05% | 0.12Ă— |
| Pocatello, ID | 21 | 0.01% | 0.02% | 0.27Ă— |
| Anchorage, AK | 20 | 0.01% | 0.13% | 0.04Ă— |
| Bay City, MI | 20 | 0.01% | 0.02% | 0.25Ă— |
| Bowling Green, KY | 20 | 0.01% | 0.05% | 0.11Ă— |
| Morgantown, WV | 20 | 0.01% | 0.04% | 0.13Ă— |
| Harrisonburg, VA | 19 | 0.01% | 0.04% | 0.12Ă— |
| Fond du Lac, WI | 18 | 0.01% | 0.03% | 0.15Ă— |
| Jonesboro, AR | 18 | 0.01% | 0.04% | 0.13Ă— |
| Ocala, FL | 18 | 0.01% | 0.08% | 0.07Ă— |
| Brownsville-Harlingen, TX | 17 | <0.01% | 0.09% | 0.05Ă— |
| Idaho Falls, ID | 17 | <0.01% | 0.05% | 0.09Ă— |
| Winchester, VA-WV | 17 | <0.01% | 0.05% | 0.10Ă— |
| Monroe, MI | 16 | <0.01% | 0.03% | 0.16Ă— |
| Wausau, WI | 16 | <0.01% | 0.05% | 0.09Ă— |
| Abilene, TX | 15 | <0.01% | 0.05% | 0.08Ă— |
| Bozeman, MT | 15 | <0.01% | 0.04% | 0.09Ă— |
| Chico, CA | 15 | <0.01% | 0.05% | 0.08Ă— |
| Janesville-Beloit, WI | 15 | <0.01% | 0.05% | 0.09Ă— |
| Kankakee, IL | 15 | <0.01% | 0.03% | 0.15Ă— |
| Dothan, AL | 14 | <0.01% | 0.04% | 0.09Ă— |
| St. Cloud, MN | 14 | <0.01% | 0.08% | 0.05Ă— |
| La Crosse-Onalaska, WI-MN | 13 | <0.01% | 0.06% | 0.06Ă— |
| Pueblo, CO | 13 | <0.01% | 0.04% | 0.09Ă— |
| Shreveport-Bossier City, LA | 13 | <0.01% | 0.11% | 0.03Ă— |
| Slidell-Mandeville-Covington, LA | 13 | <0.01% | 0.07% | 0.05Ă— |
| Twin Falls, ID | 13 | <0.01% | 0.03% | 0.11Ă— |
| Yuba City, CA | 13 | <0.01% | 0.03% | 0.12Ă— |
| Huntington-Ashland, WV-KY-OH | 12 | <0.01% | 0.09% | 0.04Ă— |
| Joplin, MO-KS | 12 | <0.01% | 0.06% | 0.06Ă— |
| Redding, CA | 12 | <0.01% | 0.04% | 0.08Ă— |
| Wichita Falls, TX | 12 | <0.01% | 0.04% | 0.09Ă— |
| Yuma, AZ | 12 | <0.01% | 0.04% | 0.08Ă— |
| Alexandria, LA | 11 | <0.01% | 0.04% | 0.08Ă— |
| Bangor, ME | 11 | <0.01% | 0.05% | 0.07Ă— |
| Carson City, NV | 11 | <0.01% | 0.02% | 0.17Ă— |
| Daphne-Fairhope-Foley, AL | 11 | <0.01% | 0.05% | 0.06Ă— |
| Decatur, AL | 11 | <0.01% | 0.04% | 0.08Ă— |
| Fayetteville, NC | 11 | <0.01% | 0.08% | 0.04Ă— |
| Logan, UT-ID | 11 | <0.01% | 0.05% | 0.07Ă— |
| Muncie, IN | 11 | <0.01% | 0.03% | 0.10Ă— |
| Prescott Valley-Prescott, AZ | 11 | <0.01% | 0.05% | 0.06Ă— |
| Salisbury, MD | 11 | <0.01% | 0.03% | 0.10Ă— |
| Springfield, OH | 11 | <0.01% | 0.03% | 0.09Ă— |
| Valdosta, GA | 11 | <0.01% | 0.03% | 0.09Ă— |
| Bend, OR | 10 | <0.01% | 0.07% | 0.04Ă— |
| Bremerton-Silverdale-Port Orchard, WA | 10 | <0.01% | 0.05% | 0.06Ă— |
| Hilton Head Island-Bluffton-Port Royal, SC | 10 | <0.01% | 0.05% | 0.05Ă— |
| Las Cruces, NM | 10 | <0.01% | 0.04% | 0.06Ă— |
| Terre Haute, IN | 10 | <0.01% | 0.04% | 0.06Ă— |
| Vineland, NJ | 10 | <0.01% | 0.04% | 0.08Ă— |
| Casper, WY | 9 | <0.01% | 0.02% | 0.10Ă— |
| Dubuque, IA | 9 | <0.01% | 0.04% | 0.06Ă— |
| Glens Falls, NY | 9 | <0.01% | 0.03% | 0.08Ă— |
| Lebanon, PA | 9 | <0.01% | 0.04% | 0.07Ă— |
| Lexington Park, MD | 9 | <0.01% | 0.04% | 0.06Ă— |
| Medford, OR | 9 | <0.01% | 0.06% | 0.04Ă— |
| Sumter, SC | 9 | <0.01% | 0.02% | 0.10Ă— |
| Amarillo, TX | 8 | <0.01% | 0.08% | 0.03Ă— |
| Bismarck, ND | 8 | <0.01% | 0.05% | 0.05Ă— |
| Elmira, NY | 8 | <0.01% | 0.02% | 0.10Ă— |
| Lima, OH | 8 | <0.01% | 0.03% | 0.07Ă— |
| Longview, TX | 8 | <0.01% | 0.08% | 0.03Ă— |
| Minot, ND | 8 | <0.01% | 0.02% | 0.11Ă— |
| Myrtle Beach-Conway-North Myrtle Beach, SC | 8 | <0.01% | 0.09% | 0.02Ă— |
| Sioux City, IA-NE-SD | 8 | <0.01% | 0.05% | 0.04Ă— |
| Billings, MT | 7 | <0.01% | 0.06% | 0.03Ă— |
| Elizabethtown, KY | 7 | <0.01% | 0.03% | 0.07Ă— |
| Grand Forks, ND-MN | 7 | <0.01% | 0.03% | 0.06Ă— |
| Manhattan, KS | 7 | <0.01% | 0.03% | 0.07Ă— |
| Muskegon-Norton Shores, MI | 7 | <0.01% | 0.04% | 0.05Ă— |
| Panama City-Panama City Beach, FL | 7 | <0.01% | 0.05% | 0.04Ă— |
| St. Joseph, MO-KS | 7 | <0.01% | 0.04% | 0.05Ă— |
| San Angelo, TX | 7 | <0.01% | 0.03% | 0.06Ă— |
| Albany, OR | 6 | <0.01% | 0.03% | 0.05Ă— |
| Crestview-Fort Walton Beach-Destin, FL | 6 | <0.01% | 0.07% | 0.02Ă— |
| Duluth, MN-WI | 6 | <0.01% | 0.08% | 0.02Ă— |
| Hattiesburg, MS | 6 | <0.01% | 0.04% | 0.04Ă— |
| Kingston, NY | 6 | <0.01% | 0.03% | 0.05Ă— |
| Sebastian-Vero Beach-West Vero Corridor, FL | 6 | <0.01% | 0.04% | 0.04Ă— |
| Wenatchee-East Wenatchee, WA | 6 | <0.01% | 0.03% | 0.05Ă— |
| Altoona, PA | 5 | <0.01% | 0.04% | 0.03Ă— |
| Brunswick-St. Simons, GA | 5 | <0.01% | 0.03% | 0.05Ă— |
| Fairbanks-College, AK | 5 | <0.01% | 0.02% | 0.07Ă— |
| Florence-Muscle Shoals, AL | 5 | <0.01% | 0.04% | 0.04Ă— |
| Homosassa Springs, FL | 5 | <0.01% | 0.02% | 0.06Ă— |
| Johnson City, TN | 5 | <0.01% | 0.05% | 0.03Ă— |
| Kahului-Wailuku, HI | 5 | <0.01% | 0.05% | 0.03Ă— |
| Laredo, TX | 5 | <0.01% | 0.06% | 0.02Ă— |
| Longview-Kelso, WA | 5 | <0.01% | 0.03% | 0.05Ă— |
| Michigan City-La Porte, IN | 5 | <0.01% | 0.03% | 0.05Ă— |
| Mount Vernon-Anacortes, WA | 5 | <0.01% | 0.03% | 0.04Ă— |
| Rapid City, SD | 5 | <0.01% | 0.05% | 0.03Ă— |
| St. George, UT | 5 | <0.01% | 0.05% | 0.03Ă— |
| Watertown-Fort Drum, NY | 5 | <0.01% | 0.02% | 0.06Ă— |
| Wheeling, WV-OH | 5 | <0.01% | 0.04% | 0.03Ă— |
| Albany, GA | 4 | <0.01% | 0.03% | 0.03Ă— |
| Coeur d'Alene, ID | 4 | <0.01% | 0.05% | 0.02Ă— |
| Grants Pass, OR | 4 | <0.01% | 0.02% | 0.06Ă— |
| Lawton, OK | 4 | <0.01% | 0.03% | 0.04Ă— |
| Lewiston-Auburn, ME | 4 | <0.01% | 0.03% | 0.03Ă— |
| Morristown, TN | 4 | <0.01% | 0.03% | 0.03Ă— |
| Rome, GA | 4 | <0.01% | 0.03% | 0.04Ă— |
| Texarkana, TX-AR | 4 | <0.01% | 0.04% | 0.03Ă— |
| Traverse City, MI | 4 | <0.01% | 0.05% | 0.02Ă— |
| Weirton-Steubenville, WV-OH | 4 | <0.01% | 0.03% | 0.04Ă— |
| Wildwood-The Villages, FL | 4 | <0.01% | 0.02% | 0.04Ă— |
| Yakima, WA | 4 | <0.01% | 0.06% | 0.02Ă— |
| Anniston-Oxford, AL | 3 | <0.01% | 0.03% | 0.03Ă— |
| Cleveland, TN | 3 | <0.01% | 0.03% | 0.03Ă— |
| Eau Claire, WI | 3 | <0.01% | 0.06% | 0.01Ă— |
| Flagstaff, AZ | 3 | <0.01% | 0.04% | 0.02Ă— |
| Gadsden, AL | 3 | <0.01% | 0.02% | 0.04Ă— |
| Goldsboro, NC | 3 | <0.01% | 0.03% | 0.03Ă— |
| Great Falls, MT | 3 | <0.01% | 0.02% | 0.03Ă— |
| Hanford-Corcoran, CA | 3 | <0.01% | 0.02% | 0.04Ă— |
| Houma-Bayou Cane-Thibodaux, LA | 3 | <0.01% | 0.05% | 0.02Ă— |
| Mansfield, OH | 3 | <0.01% | 0.03% | 0.03Ă— |
| Owensboro, KY | 3 | <0.01% | 0.03% | 0.02Ă— |
| Paducah, KY-IL | 3 | <0.01% | 0.03% | 0.03Ă— |
| Pinehurst-Southern Pines, NC | 3 | <0.01% | 0.03% | 0.03Ă— |
| Sandusky, OH | 3 | <0.01% | 0.03% | 0.03Ă— |
| Sierra Vista-Douglas, AZ | 3 | <0.01% | 0.02% | 0.04Ă— |
| Staunton-Stuarts Draft, VA | 3 | <0.01% | 0.03% | 0.03Ă— |
| Victoria, TX | 3 | <0.01% | 0.03% | 0.03Ă— |
| Warner Robins, GA | 3 | <0.01% | 0.04% | 0.02Ă— |
| Beckley, WV | 2 | <0.01% | 0.03% | 0.02Ă— |
| El Centro, CA | 2 | <0.01% | 0.03% | 0.02Ă— |
| Enid, OK | 2 | <0.01% | 0.02% | 0.03Ă— |
| Farmington, NM | 2 | <0.01% | 0.03% | 0.02Ă— |
| Grand Junction, CO | 2 | <0.01% | 0.04% | 0.01Ă— |
| Hinesville, GA | 2 | <0.01% | 0.01% | 0.05Ă— |
| Hot Springs, AR | 2 | <0.01% | 0.03% | 0.02Ă— |
| Jacksonville, NC | 2 | <0.01% | 0.03% | 0.02Ă— |
| Parkersburg-Vienna, WV | 2 | <0.01% | 0.02% | 0.02Ă— |
| Walla Walla, WA | 2 | <0.01% | 0.02% | 0.03Ă— |
| Williamsport, PA | 2 | <0.01% | 0.04% | 0.02Ă— |
| Eagle Pass, TX | 1 | <0.01% | 0.01% | 0.03Ă— |
| Gettysburg, PA | 1 | <0.01% | 0.02% | 0.01Ă— |
| Hammond, LA | 1 | <0.01% | 0.03% | 0.01Ă— |
| Jackson, TN | 1 | <0.01% | 0.06% | <0.01Ă— |
| Johnstown, PA | 1 | <0.01% | 0.03% | 0.01Ă— |
| Lake Havasu City-Kingman, AZ | 1 | <0.01% | 0.04% | 0.01Ă— |
Additional notes & methods
The denominator, and why neither column adds to 100. In column three, the numerator only includes metro areas (the remainder 2,414 petitions in micropolitan areas and the 741 in non-CBSA areas are excluded); the denominator includes the 362,198 approved petitions that can be located in the fifty states and DC, excluding the US territories. The fourth column's numerator includes only private-sector jobs in the metro areas; the denominator includes 128,213,588 private-sector jobs that can be placed in a county.
How a petition is assigned to a metro area. It takes two steps. First, postal code to county, using the Department of Housing and Urban Development (HUD) postal-code-to-county crosswalk: each code goes to the county holding most of its addresses. Then county to metro area, using the government's own list.
The biggest filers file by the thousands
A handful of employers file at a scale no one else comes close to. Across the four lotteries, 50,618 different employers won at least one approved H-1B petition, but the ten largest took 17.5% of them. Amazon alone won 13,468 approved petitions, or 3.7 percent of the total. Most employers—82 percent—had fewer than five approved petitions.
| AMAZON.COM SERVICES LLC | Amazon | 8,788 | 35.4% | |
| INFOSYS LIMITED | Infosys | 4,859 | 14.8% | |
| GOOGLE LLC | 3,278 | 11.1% | ||
| COGNIZANT TECHNOLOGY SOLUTIONS US CORP | Cognizant | 3,240 | 96.7% | |
| TATA CONSULTANCY SVCS LTD | TCS | 2,895 | 18.6% | |
| META PLATFORMS INC | Meta | 2,382 | 11.5% | |
| WIPRO LIMITED | Wipro | 1,755 | 3.5% | |
| CAPGEMINI AMERICA INC | Capgemini | 1,389 | 8.9% | |
| INTEL CORPORATION | Intel | 1,305 | 44.8% | |
| IBM CORPORATION | IBM | 1,260 | 50.5% | |
| QUALCOMM TECHNOLOGIES INC | Qualcomm | 1,226 | 29.2% | |
| INFOSYS LIMITED | Infosys | 815 | 22.8% | |
| WAL MART ASSOCIATES INC | Walmart | 498 | 35.6% | |
| INFOSYS LIMITED | Infosys | 496 | 28.7% | |
| AMAZON.COM SERVICES LLC | Amazon | 434 | 5.5% | |
| DELOITTE CONSULTING LLP | Deloitte | 432 | 5.8% | |
| MANAGEMENT HEALTH SYSTEMS LLC DBA MEDPRO INTERNATIONAL | Management Health | 430 | 11.2% | |
| THE MATHWORKS INC | MathWorks | 405 | 3.1% | |
| INFOSYS LIMITED | Infosys | 371 | 22.0% | |
| INTEL CORPORATION | Intel | 371 | 7.5% | |
| UST GLOBAL INC | UST Global | 347 | 2.9% | |
| EFICENS SYSTEMS INC | Eficens | 304 | 2.6% | |
| INTEL CORPORATION | Intel | 277 | 19.6% | |
| GOLDMAN SACHS CO LLC | Goldman Sachs | 265 | 19.9% | |
| ATOS SYNTEL INC | Syntel | 249 | 2.9% | |
| CITIBANK NA | Citibank | 239 | 8.3% | |
| INFOSYS LIMITED | Infosys | 232 | 2.9% | |
| STRATEGIC SYSTEMS INC | Strategic | 213 | 7.7% | |
| COFORGE LIMITED | Coforge | 195 | 5.6% | |
| CERNER CORPORATION | Cerner | 182 | 13.5% | |
| INFOSYS LIMITED | Infosys | 173 | 16.9% | |
| AMAZON.COM SERVICES LLC | Amazon | 155 | 10.2% | |
| TATA CONSULTANCY SVCS LTD | TCS | 153 | 4.6% | |
| DELOITTE CONSULTING LLP | Deloitte | 145 | 10.4% | |
| HCL AMERICA INC | HCL | 134 | 10.6% | |
| TATA CONSULTANCY SVCS LTD | TCS | 129 | 7.4% | |
| TECH MAHINDRA AMERICAS INC | Tech Mahindra | 115 | 4.8% | |
| WELLS FARGO BANK NA | Wells Fargo | 107 | 3.1% | |
| ASML US LP | ASML | 100 | 9.2% | |
| INFOSYS LIMITED | Infosys | 95 | 4.3% | |
| CAPITAL ONE SERVICES LLC | Capital One | 87 | 8.1% | |
| MESONS TECHNOLOGIES LLC | Mesons | 69 | 6.2% | |
| TATA CONSULTANCY SVCS LTD | TCS | 59 | 2.8% | |
| VARIYAS GLOBAL SOLUTIONS INC | Variyas Global | 54 | 2.7% |
| AMAZON.COM SERVICES LLC | Amazon | 8,796 | 34.9% | |
| INFOSYS LIMITED | Infosys | 5,471 | 10.1% | |
| GOOGLE LLC | 3,903 | 5.5% | ||
| TATA CONSULTANCY SVCS LTD | TCS | 2,909 | 41.0% | |
| WIPRO LIMITED | Wipro | 1,754 | 6.1% | |
| CAPGEMINI AMERICA INC | Capgemini | 1,391 | 8.0% | |
| IBM CORPORATION | IBM | 1,391 | 13.7% | |
| INTEL CORPORATION | Intel | 1,303 | 43.5% | |
| BLOOMBERG LP | Bloomberg | 642 | 2.3% | |
| AMAZON.COM SERVICES LLC | Amazon | 574 | 5.3% | |
| INFOSYS LIMITED | Infosys | 545 | 16.7% | |
| WAL MART ASSOCIATES INC | Walmart | 498 | 28.6% | |
| DELOITTE CONSULTING LLP | Deloitte | 487 | 5.5% | |
| MANAGEMENT HEALTH SYSTEMS LLC DBA MEDPRO INTERNATIONAL | Management Health | 431 | 4.2% | |
| THE MATHWORKS INC | MathWorks | 406 | 2.9% | |
| INFOSYS LIMITED | Infosys | 395 | 11.7% | |
| INTEL CORPORATION | Intel | 372 | 7.1% | |
| MICRON TECHNOLOGY INC | Micron Technology | 307 | 52.9% | |
| EFICENS SYSTEMS INC | Eficens | 304 | 2.5% | |
| GOLDMAN SACHS CO LLC | Goldman Sachs | 265 | 15.5% | |
| ATOS SYNTEL INC | Syntel | 254 | 2.5% | |
| TATA CONSULTANCY SVCS LTD | TCS | 254 | 4.1% | |
| IBM CORPORATION | IBM | 210 | 22.7% | |
| INFOSYS LIMITED | Infosys | 178 | 24.6% | |
| INFOSYS LIMITED | Infosys | 178 | 8.5% | |
| CAPGEMINI AMERICA INC | Capgemini | 173 | 10.4% | |
| CERNER CORPORATION | Cerner | 172 | 5.5% | |
| AMAZON.COM SERVICES LLC | Amazon | 159 | 5.6% | |
| TATA CONSULTANCY SVCS LTD | TCS | 154 | 4.3% | |
| SPERIDIAN TECHNOLOGIES LLC | Speridian | 141 | 34.5% | |
| V SOFT CONSULTING GROUP INC | V Soft Consulting | 135 | 12.8% | |
| JPMORGAN CHASE CO | JPMorgan | 123 | 8.0% | |
| TATA CONSULTANCY SVCS LTD | TCS | 104 | 9.4% | |
| PROKARMA INC DBA CONCENTRIX CATALYST | Prokarma | 99 | 12.8% | |
| INFOSYS LIMITED | Infosys | 95 | 3.1% | |
| TESLA INC | Tesla | 86 | 11.5% | |
| PAYCOM PAYROLL LLC | Paycom Payroll | 70 | 11.1% | |
| MCKINSEY COMPANY INC UNITED STATES | McKinsey | 48 | 3.4% | |
| COGNIZANT TECHNOLOGY SOLUTIONS US CORP | Cognizant | 45 | 34.6% | |
| GATIX E SOLUTIONS INC | Gatix E | 34 | 3.0% | |
| SRI SAI LLC | Sri Sai | 33 | 19.8% | |
| 9THNETWORKS INC | 9Thnetworks | 31 | 4.1% | |
| INFONERO INC | Infonero | 24 | 19.5% | |
| BAHWAN CYBERTEK INC | Bahwan Cybertek | 22 | 3.4% | |
| INFINITE COMPUTER SOLUTIONS INC | Infinite Computer | 19 | 8.1% | |
| BUSINESS ADVANTAGE CONSULTING INC | Business Advantage Consulting | 16 | 13.2% | |
| GLOBALFOUNDRIES U S 2 LLC | Globalfoundries US 2 | 13 | 14.9% | |
| APTAMITRA USA CONSULTING LLC | Aptamitra Consulting | 11 | 11.3% | |
| MAHANTECH CORPORATION | Mahantech | 10 | 8.8% | |
| MY3TECH INC | My3Tech | 9 | 8.7% | |
| BROADGATE INC | Broadgate | 2 | 5.6% |
| 1 | AMAZON.COM SERVICES LLC | Amazon | 13,468 | 3.7% | 3.7% |
| 2 | INFOSYS LIMITED | Infosys | 11,193 | 3.1% | 6.8% |
| 3 | TATA CONSULTANCY SVCS LTD | TCS | 7,998 | 2.2% | 9.0% |
| 4 | COGNIZANT TECHNOLOGY SOLUTIONS US CORP | Cognizant | 6,412 | 1.8% | 10.8% |
| 5 | GOOGLE LLC | 5,233 | 1.4% | 12.2% | |
| 6 | IBM CORPORATION | IBM | 4,355 | 1.2% | 13.4% |
| 7 | MICROSOFT CORPORATION | Microsoft | 4,309 | 1.2% | 14.6% |
| 8 | META PLATFORMS INC | Meta | 3,988 | 1.1% | 15.7% |
| 9 | WIPRO LIMITED | Wipro | 3,511 | 1.0% | 16.7% |
| 10 | CAPGEMINI AMERICA INC | Capgemini | 3,129 | 0.9% | 17.5% |
| 11 | APPLE INC | Apple | 3,024 | 0.8% | 18.4% |
| 12 | HCL AMERICA INC | HCL | 2,862 | 0.8% | 19.1% |
| 13 | INTEL CORPORATION | Intel | 2,568 | 0.7% | 19.9% |
| 14 | ACCENTURE LLP | Accenture | 2,486 | 0.7% | 20.5% |
| 15 | ERNST YOUNG US LLP | EY | 2,150 | 0.6% | 21.1% |
| 16 | AMAZON WEB SERVICES INC | Amazon | 2,127 | 0.6% | 21.7% |
| 17 | TECH MAHINDRA AMERICAS INC | Tech Mahindra | 1,917 | 0.5% | 22.2% |
| 18 | AMAZON DEVELOPMENT CENTER US INC | Amazon | 1,915 | 0.5% | 22.8% |
| 19 | DELOITTE CONSULTING LLP | Deloitte | 1,871 | 0.5% | 23.3% |
| 20 | ORACLE AMERICA INC | Oracle | 1,650 | 0.5% | 23.7% |
| 21 | WAL MART ASSOCIATES INC | Walmart | 1,434 | 0.4% | 24.1% |
| 22 | QUALCOMM TECHNOLOGIES INC | Qualcomm | 1,418 | 0.4% | 24.5% |
| 23 | MCKINSEY COMPANY INC UNITED STATES | McKinsey | 1,395 | 0.4% | 24.9% |
| 24 | LTIMINDTREE LIMITED | Ltimindtree | 1,257 | 0.3% | 25.3% |
| 25 | JPMORGAN CHASE CO | JPMorgan | 1,089 | 0.3% | 25.6% |
| 26 | TESLA INC | Tesla | 1,081 | 0.3% | 25.9% |
| 27 | GOLDMAN SACHS CO LLC | Goldman Sachs | 1,050 | 0.3% | 26.1% |
| 28 | DELOITTE & TOUCHE LLP | Deloitte | 1,027 | 0.3% | 26.4% |
| 29 | CISCO SYSTEMS INC | Cisco | 1,020 | 0.3% | 26.7% |
Additional notes & methods
Which petitions are included. Our data include 362,959 approved petitions that can be located at work sites in the fifty states and DC.
Employers are grouped by federal tax ID, not by name. Every company observation is grouped by federal tax ID, the legal entity behind the filings. The name on a petition varies in spelling, punctuation, and legal suffix, as well as companies renaming (for example, one tax ID filed as FACEBOOK INC in FY2021 and as META PLATFORMS INC from FY2022 on).
Which name is shown. A tax ID that filed under more than one name is shown under the name on its most recently received petition, which is why Facebook appears here as Meta.
The bottom line
H-1B petitions are concentrated in a handful of places and filed at scale by a few employers:
- 50% of the H-1B work is based in four states: California, Texas, New Jersey, and New York.
- H-1B work is more highly concentrated in metro areas than private-sector jobs: 99.1 percent of H-1B work sits in metro areas, compared to 89.7 percent of US private-sector jobs.
- A handful of metro areas dominate. H-1B work sites span 385 metro areas, but the top five (New York, Dallas, San Jose, Seattle, and San Francisco) hold 44 percent of the work.
- A few employers win most H-1B petitions. The ten largest took 17.5 percent of all approved petitions.