Dickinson & Associates H-1B wage filings

Chicago, IL. Last filed in fiscal 2022. Figures cover every filing since fiscal 2020; none in the latest 12 months reach five. Also filed as DICKINSON & ASSOCIATES, INC..

Dickinson & Associates filed 8 wage applications for H-1B and similar visas from fiscal 2020 to fiscal 2022. The median wage it offered was $125,555, 3.5% above the government's prevailing wage for the same jobs. Its most-filed job was Senior Consultant (3 filings, median $126,110).

Filings since FY2020
8
Positions covered
8
Certified
100.0%
Job titles
3
Worksite cities
5
Last filed
FY2022

Offered wage since 2020

Dickinson & Associates made 8 filings across 3 fiscal years since 2020, too few in most years to track the wage year by year. Its busiest full year was fiscal 2021, with 4 filings.

Middle half of offered wagesMedian offered wageMedian prevailing wageFilings per year

$100k$120k$140k$160k$121k$134k320204202112022

Fiscal years run October to September.

Dickinson & Associates by fiscal year

Fiscal yearFilingsMedian offeredvs year beforeMedian prevailingvs prevailing
20221n/an/an/an/a
20214$133,575+10.0%$128,586+3.5%
20203$121,389n/a$121,389at the minimum

Offered wage by job title

Middle half of offered wagesMedian offered wageMedian prevailing wage

Job titleFilingsMedian offeredOffered range and prevailing wagevs prevailing
Senior Consultant3$126,110at the minimum
Senior SAP Abap Technical Lead2$119,746+6.4%
SAP ABAP Consultant1$125,000+38.3%

Where the jobs are

WorksiteFilingsMedian offered
Chicago, IL4$129,051
Flower Mound, TX1$127,150
Rolling Meadows, IL1$121,389
San Antonio, TX1$126,110
Wheeling, IL1$125,000

By visa type: 8 H-1B. By outcome: 7 certified, 1 certified and later withdrawn.

Seniority of the jobs filed

Level I, entry0%
Level II, qualified25%
Level III, experienced38%
Level IV, fully competent38%

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.

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