USA Intellectual Property Research and Education Institute H-1B wage filings

Yorktown, VA. Last filed in fiscal 2026. Figures cover every filing since fiscal 2020; none in the latest 12 months reach five.

USA Intellectual Property Research and Education Institute filed 7 wage applications for H-1B and similar visas from fiscal 2022 to fiscal 2026. The median wage it offered was $74,580, 17.3% above the government's prevailing wage for the same jobs. Its most-filed job was Sociologist (3 filings, median $73,200).

Filings since FY2022
7
Positions covered
5
Certified
71.4%
Job titles
4
Worksite cities
2
Last filed
FY2026

Offered wage since 2022

USA Intellectual Property Research and Education Institute made 7 filings across 3 fiscal years since 2022, too few in most years to track the wage year by year. Its busiest full year was fiscal 2025, with 4 filings.

Fiscal years run October to September. Fiscal 2026 is still running: these figures cover October 2025 to June 2026.

USA Intellectual Property Research and Education Institute by fiscal year

Fiscal yearFilingsMedian offeredvs year beforeMedian prevailingvs prevailing
2026 (Oct to Jun)1n/an/an/an/a
20254$74,580n/a$62,400+17.3%
20240n/an/an/an/a
20230n/an/an/an/a
20222n/an/an/an/a

Offered wage by job title

Middle half of offered wagesMedian offered wageMedian prevailing wage

Job titleFilingsMedian offeredOffered range and prevailing wagevs prevailing
Sociologist3$73,200+17.3%
Sciologist2$74,580+0.2%
Social Science Research Assistant1$114,400+98.0%
Social Scientist1$78,006+4.0%

Where the jobs are

WorksiteFilingsMedian offered
Yorktown, VA5$76,293
Williamsburg, VA2$73,200

By visa type: 7 H-1B. By outcome: 5 certified, 1 withdrawn before a decision, 1 denied.

Seniority of the jobs filed

Level I, entry0%
Level II, qualified0%
Level III, experienced0%
Level IV, fully competent100%

The government assigns each job one of four wage levels. A higher level means a higher legal minimum.

What these numbers are

Source: U.S. Department of Labor, OFLC disclosure data. How we clean and count it.