Worksites
University of Wisconsin System — H-1B worksites
Every place of employment declared on University of Wisconsin System's certified labor condition applications. A worksite is where the sponsored work is performed, which is not necessarily the company address — and the count beside each is filings naming that site, not people working at it.
- Worksites
- 73
- States
- 8
- Busiest site
- MADISON, WI
- Concentration
- 11%
Distinct addresses declared as a place of employment.
Where the declared work happens, which is not where the company is registered.
18 filings name this site.
Share of worksite filings at that single busiest site. A high number means relocation, not remote work, is the default assumption.
By state
Worksites rolled up to the state on the filing. Each state links to every H-1B sponsor with work there, not only this one.
| State | Code | Worksites | Cities | Filings |
|---|---|---|---|---|
| Wisconsin | WI | 66 | 2 | 155 |
| California | CA | 1 | 1 | 1 |
| Illinois | IL | 1 | 1 | 1 |
| Iowa | IA | 1 | 1 | 1 |
| New Jersey | NJ | 1 | 1 | 1 |
| New York | NY | 1 | 1 | 1 |
| Texas | TX | 1 | 1 | 1 |
| Utah | UT | 1 | 1 | 1 |
All 73 worksites
Ranked by how many filings name the site. Addresses are reproduced exactly as written on the application — nothing is geocoded, deduplicated by fuzzy match, or corrected.
| City and state | Worksite address as filed | County | Filings | Share |
|---|---|---|---|---|
| MADISON, WI | 1111 HIGHLAND AVENUE53705 | — | 18 | 11.1% |
| MADISON, WI | 975 UNIVERSITY AVENUE53706 | — | 11 | 6.8% |
| MADISON, WI | 1415 ENGINEERING DRIVE53706 | — | 10 | 6.2% |
| MADISON, WI | 600 HIGHLAND AVENUE53792 | — | 8 | 4.9% |
| MADISON, WI | 1550 LINDEN DRIVE53706 | — | 7 | 4.3% |
| MADISON, WI | 2015 LINDEN DRIVE53706 | — | 7 | 4.3% |
| Madison, WI | 1675 Observatory Drive53706 | — | 4 | 2.5% |
| MADISON, WI | 433 BABCOCK DRIVE53706 | — | 4 | 2.5% |
| MADISON, WI | 1500 ENGINEERING DRIVE53706 | — | 4 | 2.5% |
| MADISON, WI | 1101 UNIVERSITY AVENUE53706 | — | 4 | 2.5% |
| Madison, WI | 1205 University Avenue53706 | — | 3 | 1.9% |
| Madison, WI | 1500 Highland Avenue53705 | — | 3 | 1.9% |
| MADISON, WI | 1220 LINDEN DRIVE53706 | — | 3 | 1.9% |
| MADISON, WI | 1300 UNIVERSITY AVENUE53706 | — | 3 | 1.9% |
| MADISON, WI | 1111 Highland Ave53705 | DANE | 3 | 1.9% |
| MADISON, WI | 1150 UNIVERSITY AVENUE53706 | — | 3 | 1.9% |
| Madison, WI | 1630 Linden Drive53706 | — | 2 | 1.2% |
| Madison, WI | 1180 Observatory Drive53706 | DANE | 2 | 1.2% |
| Madison, WI | 1525 Linden Drive53706 | — | 2 | 1.2% |
| Madison, WI | 777 Highland Avenue53705 | DANE | 2 | 1.2% |
| MADISON, WI | 1050 BASCOM MALL53706 | — | 2 | 1.2% |
| MADISON, WI | 1225 W. DAYTON STREET53706 | — | 2 | 1.2% |
| MADISON, WI | 610 WALNUT STREET53726 | — | 2 | 1.2% |
| MADISON, WI | 1513 UNIVERSITY AVENUE53706 | — | 2 | 1.2% |
| MADISON, WI | 1575 LINDEN DRIVE53706 | — | 2 | 1.2% |
| MADISON, WI | 460 HENRY MALL53706 | — | 2 | 1.2% |
| San Diego, CA | 3550 General Atomics Court92121 | SAN DIEGO | 1 | 0.6% |
| Ames, IA | 2129 Stevenson Drive50010 | STORY | 1 | 0.6% |
| NORMAL, IL | 125 SOUTH FELL AVENUE61790 | — | 1 | 0.6% |
| JERSEY CITY, NJ | 90 CHRISTOPHER COLUMBUS DRIVE07302 | — | 1 | 0.6% |
| Syosset, NY | 1650 Moores Hill Rd11791 | NASSAU | 1 | 0.6% |
| Plano, TX | 4065 Beacon Square Boulevard75075 | — | 1 | 0.6% |
| LOGAN, UT | 945 W 2200 S84321 | — | 1 | 0.6% |
| Madison, WI | 1205 University Ave53706 | — | 1 | 0.6% |
| Madison, WI | 1180 Observatory Drive53705 | — | 1 | 0.6% |
| Madison, WI | 1101 University Ave53706 | — | 1 | 0.6% |
| Madison, WI | 1575 Linden Drive53705 | — | 1 | 0.6% |
| Madison, WI | 3500 University Ave53705 | — | 1 | 0.6% |
| Madison, WI | 432 N. Lake Street53706 | DANE | 1 | 0.6% |
| Madison, WI | 1685 Highland Avenue53705 | DANE | 1 | 0.6% |
| Madison, WI | 425 Henry Mall53706 | DANE | 1 | 0.6% |
| Madison, WI | 445 Henry Mall53706 | DANE | 1 | 0.6% |
| Madison, WI | 333 East Campus Mall53715 | DANE | 1 | 0.6% |
| Madison, WI | 430 Lincoln Drive53706 | DANE | 1 | 0.6% |
| Madison, WI | 1552 University Avenue53726 | DANE | 1 | 0.6% |
| Madison, WI | 1550 Engineering Drive53706 | DANE | 1 | 0.6% |
| Madison, WI | 975 University Ave53706 | DANE | 1 | 0.6% |
| Madison, WI | 1150 University Ave53706 | — | 1 | 0.6% |
| Madison, WI | 680 N. Park Street53714 | DANE | 1 | 0.6% |
| Madison, WI | 901 University Bay Drive53705 | DANE | 1 | 0.6% |
| Madison, WI | 2601 Agriculture Drive53718 | DANE | 1 | 0.6% |
| MADISON, WI | 1975 WILLOW DRIVE53706 | — | 1 | 0.6% |
| MADISON, WI | 480 LINCOLN DRIVE53706 | — | 1 | 0.6% |
| MADISON, WI | 1025 W. JOHNSON STREET53706 | — | 1 | 0.6% |
| MADISON, WI | 1675 HIGHLAND AVENUE53792 | — | 1 | 0.6% |
| MADISON, WI | 710 BEAR CLAW WAY53717 | — | 1 | 0.6% |
| MADISON, WI | 427 LORCH STREET53706 | — | 1 | 0.6% |
| MADISON, WI | 440 HENRY MALL53706 | — | 1 | 0.6% |
| MADISON, WI | 1111 HIGHLAND AVENUE53706 | — | 1 | 0.6% |
| MADISON, WI | 1225 W DAYTON STREET53706 | — | 1 | 0.6% |
| MADISON, WI | 21 N PARK STREET53715 | — | 1 | 0.6% |
| MADISON, WI | 1025 W JOHNSON STREET53706 | — | 1 | 0.6% |
| MADISON, WI | 1220 CAPITOL COURT53715 | — | 1 | 0.6% |
| MADISON, WI | 3500 UNIVERSITY AVENUE53706 | — | 1 | 0.6% |
| MADISON, WI | 1710 UNIVERSITY AVENUE53726 | — | 1 | 0.6% |
| MADISON, WI | 625 W. WASHINGTON AVENUE53703 | — | 1 | 0.6% |
| MADISON, WI | 701 HIGHLAND AVENUE53705 | — | 1 | 0.6% |
| MADISON, WI | 1300 LINDEN DRIVE53706 | — | 1 | 0.6% |
| MADISON, WI | 575 SCIENCE DRIVE53711 | — | 1 | 0.6% |
| MADISON, WI | 585 SCIENCE DRIVE53711 | — | 1 | 0.6% |
| MADISON, WI | 800 UNIVERSITY BAY DRIVE53705 | DANE | 1 | 0.6% |
| STEVENS POINT, WI | 800 RESERVE STREET54481 | — | 1 | 0.6% |
| STEVENS POINT, WI | 800 RESERVE ST54481 | — | 1 | 0.6% |
Two addresses appear in this dataset and they answer different questions. The employer address on the company page identifies the legal entity — with the phone number and NAICS code, it is how you tell two companies with the same name apart. A worksite is where the work is performed, and for an employer that places workers at client sites the two are rarely the same place. How these pages are built.
