# SOC 29-9099: Healthcare Practitioners and Technical Workers, All Other

> Occupation profile: https://www.xh1b.org/soc/29-9099

Employers submitted 6,975 certified H-1B applications for Healthcare Practitioners and Technical Workers, All Other (29-9099) roles, requesting 13,506 workers. The average offered wage is $69,587/yr, close to the BLS national median ($65,790/yr). (2025, SOC 29-9099) The largest filers are The University of Iowa, Icahn School of Medicine at Mount Sinai and ST. Luke's-Roosevelt Hospital Center.

| Metric | Value |
|---|---|
| Total filings | 6,975 |
| Total workers | 13,506 |
| Average offered wage | $70K |
| Average prevailing wage | $55K |
| BLS median wage | $66K |
| Latest BLS year in scope | 2025 |
| Profile benchmark SOC | 29-9099 |
| BLS area | U.S. |

Filing wage badges use the latest national BLS median. Their detail shows the benchmark code and year. A mapped comparator can use a different occupation from the direct-code profile benchmark above. It is a screening comparison, not a claim that the occupations are identical.

| Metric | Value |
|---|---|
| Offered vs BLS benchmark | +6% |

## Top employers (of 438)

| Employer | Filings | Workers | Avg wage | BLS median |
|---|---|---|---|---|
| [The University of Iowa](https://www.xh1b.org/org/the-university-of-iowa-d3167bf1ae) | 598 | 598 | $67K | $66K |
| [Icahn School of Medicine at Mount Sinai](https://www.xh1b.org/org/icahn-school-of-medicine-at-mount-sinai-23e467e122) | 520 | 525 | $77K | $66K |
| [ST. Luke's-Roosevelt Hospital Center](https://www.xh1b.org/org/st-lukes-roosevelt-hospital-center-d8f7963124) | 513 | 516 | $74K | $66K |
| [Emory University](https://www.xh1b.org/org/emory-university-6f72b27ea1) | 505 | 505 | $64K | $66K |
| [Albert Einstein Medical Center](https://www.xh1b.org/org/albert-einstein-medical-center-3269400c4b) | 275 | 1,329 | $71K | $66K |
| [Rush University Medical Center](https://www.xh1b.org/org/rush-university-medical-center-edbe97fe82) | 254 | 271 | $89K | $66K |
| [Thomas Jefferson University Hospital](https://www.xh1b.org/org/thomas-jefferson-university-hospital-cc49e809b8) | 232 | 247 | $64K | $66K |
| [Detroit Education & Research](https://www.xh1b.org/org/detroit-education-research-fd1960d549) | 172 | 397 | $54K | $66K |
| [Tufts Medical Center, Inc.](https://www.xh1b.org/org/tufts-medical-center-inc-c04d8e6ec7) | 159 | 159 | $67K | $66K |
| [St. John Hospital and Medical Center](https://www.xh1b.org/org/st-john-hospital-and-medical-center-b655f4bc4c) | 156 | 254 | $51K | $66K |

## Filing trend

| Year | Filings | Workers | Median offered |
|---|---|---|---|
| 2009 | 4 | 4 | $29K |
| 2010 | 43 | 93 | $46K |
| 2011 | 387 | 1,087 | $52K |
| 2012 | 2 | 2 | $82K |
| 2013 | 45 | 47 | $52K |
| 2014 | 404 | 1,334 | $55K |
| 2015 | 577 | 1,400 | $56K |
| 2016 | 752 | 1,584 | $59K |
| 2017 | 635 | 1,085 | $61K |
| 2018 | 1,081 | 2,085 | $63K |
| 2019 | 624 | 1,050 | $65K |
| 2020 | 493 | 1,018 | $67K |
| 2021 | 427 | 660 | $66K |
| 2022 | 378 | 642 | $68K |
| 2023 | 447 | 677 | $73K |
| 2024 | 356 | 464 | $77K |
| 2025 | 317 | 454 | $81K |
| 2026 | 97 | 132 | $91K |

## State filing trends (2015 to 2026)

| State | Total filings | 2026 filings | 2026 filings per 100k residents |
|---|---|---|---|
| [New York](https://www.xh1b.org/state/ny) | 1,495 | 48 | 0.2 |
| [Pennsylvania](https://www.xh1b.org/state/pa) | 743 | 0 | 0.0 |
| [Michigan](https://www.xh1b.org/state/mi) | 626 | 0 | 0.0 |
| [Iowa](https://www.xh1b.org/state/ia) | 516 | 14 | 0.4 |
| [Georgia](https://www.xh1b.org/state/ga) | 456 | 0 | 0.0 |
| [Massachusetts](https://www.xh1b.org/state/ma) | 430 | 5 | 0.1 |
| [Illinois](https://www.xh1b.org/state/il) | 348 | 9 | 0.1 |
| [California](https://www.xh1b.org/state/ca) | 316 | 7 | 0.0 |
| [Ohio](https://www.xh1b.org/state/oh) | 171 | 0 | 0.0 |
| [Connecticut](https://www.xh1b.org/state/ct) | 163 | 3 | 0.1 |
| [Missouri](https://www.xh1b.org/state/mo) | 139 | 4 | 0.1 |
| [New Jersey](https://www.xh1b.org/state/nj) | 120 | 0 | 0.0 |
| [Texas](https://www.xh1b.org/state/tx) | 114 | 1 | 0.0 |
| [Mississippi](https://www.xh1b.org/state/ms) | 107 | 3 | 0.1 |
| [New Hampshire](https://www.xh1b.org/state/nh) | 90 | 1 | 0.1 |
| [Colorado](https://www.xh1b.org/state/co) | 81 | 0 | 0.0 |
| [Florida](https://www.xh1b.org/state/fl) | 72 | 0 | 0.0 |
| [Minnesota](https://www.xh1b.org/state/mn) | 57 | 0 | 0.0 |
| [Maryland](https://www.xh1b.org/state/md) | 46 | 2 | 0.0 |
| [Nevada](https://www.xh1b.org/state/nv) | 41 | 0 | 0.0 |
| [Louisiana](https://www.xh1b.org/state/la) | 39 | 0 | 0.0 |
| [District of Columbia](https://www.xh1b.org/state/dc) | 37 | 0 | 0.0 |
| [Wisconsin](https://www.xh1b.org/state/wi) | 31 | 0 | 0.0 |
| [Virginia](https://www.xh1b.org/state/va) | 27 | 0 | 0.0 |
| [Oklahoma](https://www.xh1b.org/state/ok) | 22 | 0 | 0.0 |
| [Indiana](https://www.xh1b.org/state/in) | 16 | 0 | 0.0 |
| [Rhode Island](https://www.xh1b.org/state/ri) | 11 | 0 | 0.0 |
| [Vermont](https://www.xh1b.org/state/vt) | 10 | 0 | 0.0 |
| [Tennessee](https://www.xh1b.org/state/tn) | 9 | 0 | 0.0 |
| [Alabama](https://www.xh1b.org/state/al) | 8 | 0 | 0.0 |
| [North Carolina](https://www.xh1b.org/state/nc) | 8 | 0 | 0.0 |
| [Delaware](https://www.xh1b.org/state/de) | 7 | 0 | 0.0 |
| [Kentucky](https://www.xh1b.org/state/ky) | 7 | 0 | 0.0 |
| [Utah](https://www.xh1b.org/state/ut) | 7 | 0 | 0.0 |
| [South Carolina](https://www.xh1b.org/state/sc) | 6 | 0 | 0.0 |
| [West Virginia](https://www.xh1b.org/state/wv) | 4 | 0 | 0.0 |
| [Arizona](https://www.xh1b.org/state/az) | 3 | 0 | 0.0 |
| [Hawaii](https://www.xh1b.org/state/hi) | 2 | 0 | 0.0 |
| [Idaho](https://www.xh1b.org/state/id) | 2 | 0 | 0.0 |
| [Oregon](https://www.xh1b.org/state/or) | 2 | 0 | 0.0 |
| [Kansas](https://www.xh1b.org/state/ks) | 1 | 0 | 0.0 |
| [Maine](https://www.xh1b.org/state/me) | 1 | 0 | 0.0 |
| [North Dakota](https://www.xh1b.org/state/nd) | 1 | 0 | 0.0 |
| [Washington](https://www.xh1b.org/state/wa) | 1 | 0 | 0.0 |


Per 100k residents uses the U.S. Census Bureau annual population estimate for that state and year; years after the latest published estimate carry that estimate forward. The latest filing year may be a partial period.

## More

- Full page (charts, tables, interactive): https://www.xh1b.org/soc/29-9099
- JSON API: https://www.xh1b.org/api/soc-employers?code=29-9099
- JSON API: https://www.xh1b.org/api/soc-filings?code=29-9099


## References

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1. Dataset documentation · DOL OFLC. [LCA public disclosure record layout (FY2026 Q3)](https://www.dol.gov/sites/dolgov/files/ETA/oflc/pdfs/FY26Q3/LCA_Record_Layout_FY2026_Q3.pdf). Pages 1–4: application, DOL outcome and dates, requested positions, employer, representatives, worksites and pay units. This layout covers determinations issued October 1, 2025 through June 30, 2026. It documents employer-provided application fields and DOL decisions, not USCIS decisions, payroll verification, legal bills or worker-linked moves. Older layouts can differ. Checked 2026-10-17.

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2. Dataset documentation · BLS. [OEWS technical notes (May 2025)](https://www.bls.gov/oes/2025/may/oes_tec.htm). Scope of the survey; occupational coding; concepts and estimation methodology. Documents occupation and geographic wage estimates, not an individual worker’s pay. Use the estimate year and geography stated by the site; older releases can differ. Checked 2026-10-17.

<a id="reference-data-lca-data-bls-data-soc-system-calculation-method-indicators-method-soc-system"></a>

3. Guidance · BLS. [Standard Occupational Classification](https://www.bls.gov/soc/finding_soc_code.htm). Classification Principles 1–2 and Coding Guideline 2; job duties, not job titles. Checked 2026-10-08.

<a id="reference-data-lca-data-bls-data-soc-system-calculation-method-indicators-method-calculation-method"></a>
<a id="reference-data-lca-data-bls-data-soc-system-calculation-method-indicators-method-indicators-method"></a>

4. XH1B method or registry · XH1B. [Calculation and Matching Methods; Reading Public Records and Derived Indicators](https://www.xh1b.org/data-sources). Filing units, annualization, weighting, wage comparisons, and inference limits; Reading records: units, source coverage, wage gaps, entity links, and inference limits. These are the site's review methods, not validated predictions of wrongdoing. Inspect underlying records and alternative explanations.