H-1B & Green Card Salary Data and Market Analysis
Total Filings
All time (charts below use selected years)Median Salary
Across filings in selected periodFiling Growth
16 → 23 filings, FY2021 to FY2026Top Employers
Hiring This RoleSee all H-1B/PERM filings for this role →
| Employer | Filings | Median Salary | Salary Range | Approval Rate |
|---|---|---|---|---|
| LinkedIn Corporation | 114 | $162,091 | $130,894 - $184,662 | 86.0% |
| META PLATFORMS, INC. | 26 | $211,399 | $147,368 - $275,465 | 88.5% |
| DoorDash, Inc. | 5 | $213,998 | $200,000 - $215,197 | 80.0% |
| BYTEDANCE INC. | 2 | $167,790 | $167,790 - $167,790 | 100.0% |
| Match Group LLC | 2 | $182,500 | $175,000 - $190,000 | 100.0% |
| Roku, Inc. | 2 | $270,000 | $270,000 - $270,000 | 50.0% |
| SNAP INC. | 2 | $205,250 | $190,000 - $220,500 | 100.0% |
| Microsoft Corporation | 2 | $185,205 | $162,510 - $207,900 | 100.0% |
| NEEVA INC. | 2 | $178,820 | $172,640 - $185,000 | 100.0% |
| Facebook, Inc. | 2 | $180,000 | $165,000 - $195,000 | 100.0% |
| 7-Eleven, Inc. | 2 | $128,987 | $125,000 - $132,974 | 100.0% |
| Cortical.io USA Inc. | 2 | $110,918 | $110,918 - $110,918 | 100.0% |
| Kumo.ai, Inc. | 2 | $185,000 | $185,000 - $185,000 | 50.0% |
| FOURSQUARE LABS, INC. | 1 | $160,000 | $160,000 - $160,000 | 100.0% |
| Grata Inc | 1 | $123,614 | $123,614 - $123,614 | 100.0% |
| City | State | Filings | Median Salary |
|---|---|---|---|
| Sunnyvale | CA | 88 | $161,801 |
| New York | NY | 14 | $164,100 |
| San Francisco | CA | 9 | $190,000 |
| Menlo Park | CA | 8 | $208,617 |
| Mountain View | CA | 7 | $165,000 |
| Seattle | WA | 4 | $198,381 |
| Bellevue | WA | 3 | $167,790 |
| Redmond | WA | 2 | $185,205 |
| Pittsburgh | PA | 2 | $82,774 |
| Irving | TX | 1 | $125,000 |
Across the 244,862 petitions we hold for the H-1B cap lottery as a whole, the I-129 filing records the beneficiary's actual pay alongside their country of birth, education and gender. A raw pay gap between two groups is mostly a statement about which jobs they hold — so each gap below is shown twice: as it looks raw, and again measured within the same job title. The second number is the one to read.
Gender is here as the control. Our decomposition of the H-1B gender pay gap found that gap is sorting almost entirely — it survives the correction at under a percent. Country of birth and education do not behave that way: part of each gap is job mix, and a real difference is still standing after the correction.
| Group | Petitions | Median actual pay | Raw gap vs everyone | Within the same job title | Explained by job mix |
|---|---|---|---|---|---|
| India | 164,659 | $90,397 | -$2,288 | -$2,411 | — |
| China | 35,095 | $110,000 | +$17,315 | +$8,896 | 48.6% |
| Philippines | 1,863 | $64,000 | -$28,685 | -$594 | 97.9% |
60 other values (39,441 petitions) are not shown, because too few of their petitions sit in a job title big enough to compare within. Only a raw figure exists there — and a raw figure is the thing this table corrects, so ranking it beside these would mislead rather than inform.
| Group | Petitions | Median actual pay | Raw gap vs everyone | Within the same job title | Explained by job mix |
|---|---|---|---|---|---|
| Master's degree | 102,816 | $91,104 | -$896 | -$262 | — |
| Bachelor's degree | 88,784 | $90,000 | -$2,000 | -$1,219 | 39.0% |
| Doctorate degree | 11,783 | $128,400 | +$36,400 | +$17,739 | 51.3% |
| Professional degree | 2,272 | $150,000 | +$58,000 | +$24,154 | 58.4% |
One other value (103 petitions) is not shown, because too few of its petitions sit in a job title big enough to compare within. Only a raw figure exists there — and a raw figure is the thing this table corrects, so ranking it beside these would mislead rather than inform.
| Group | Petitions | Median actual pay | Raw gap vs everyone | Within the same job title | Explained by job mix |
|---|---|---|---|---|---|
| Men | 164,128 | $93,891 | +$1,206 | -$361 | — |
| Women | 80,734 | $90,000 | -$2,685 | +$469 | — |
How to read this. The within-occupation figure compares people holding the same job title, weighted by how many petitions sit in each title. Titles encode seniority, so equal pay within a title does not rule out differences in reaching that title — the same limitation that applies to any controlled pay-gap number. Figures are base pay only: the I-129 reports prospective base compensation, with no equity or bonus, so this is not total compensation. Coverage is FY2021–FY2024 cap-subject H-1B lottery petitions that carry both a pay figure and a job title — a one-time FOIA snapshot, not a live feed. Aggregates only, with small counts suppressed. Source: I-129 petition data sourced from USCIS, obtained by Bloomberg.
These roles are variations of Software Engineer, Machine Learning with different seniority levels.
| Role | Experience Level | Filings | Avg Salary |
|---|---|---|---|
| Software Engineer, Machine Learning | Unspecified | 232 | $166,054 |
| Software Engineer - Machine Learning and Motion Planning | Unspecified | 1 | $80,933 |
| Software Engineer, Machine Learning and Search Ranking | Unspecified | 1 | $185,000 |
| Fiscal Year | Filings | Median Salary | Approval Rate |
|---|---|---|---|
| 2021 | 16 | $153,960 | 93.8% |
| 2022 | 48 | $162,460 | 93.8% |
| 2023 | 36 | $165,483 | 91.7% |
| 2024 | 45 | $167,149 | 88.9% |
| 2025 | 25 | $170,186 | 68.0% |
| 2026 | 23 | $170,186 | 82.6% |
Compare how top companies pay for this role.
| Company | Filings | Median Salary | Approval Rate |
|---|---|---|---|
| LinkedIn Corporation | 114 | $162,091 | 86.0% |
| META PLATFORMS, INC. | 26 | $211,399 | 88.5% |
| DoorDash, Inc. | 5 | $213,998 | 80.0% |
| BYTEDANCE INC. | 2 | $167,790 | 100.0% |
| Match Group LLC | 2 | $182,500 | 100.0% |