AUTOMOTIVE RENTAL INC
Real Estate & Rental/Leasing · Primarily NJ · PERM filings 2019–2023
Overview
AUTOMOTIVE RENTAL INC is a Real Estate & Rental/Leasing employer that has filed 7 PERM green-card applications between FY2019 and FY2023. That places it #10,433 among all U.S. PERM sponsors in our dataset. 3 were certified (42.9% approval rate), taking about 221 days on average. The most-sponsored role is Software Developers, Applications, with most worksites in NJ, and the median sponsored wage is $119,662.
7
PERM filings
42.9%
approval
0
denied
$119,662
median wage
221d
avg processing
Worker background
Across 7 filings with beneficiary data, the most common country of origin is INDIA (86%). (From legacy PERM form data, FY2020–FY2024.)
Top countries of origin
- India6
- Bangladesh1
Prior visa status
- H-1B7
Education
- Master's4
- Bachelor's3
PERM filings by year
Occupations & job titles
The occupations AUTOMOTIVE RENTAL INC most often sponsors, with average wages.
| Occupation | Filings | Avg wage |
|---|---|---|
| Software Developers, Applications | 5 | $117,238 |
| Software Quality Assurance Engineers and Testers | 1 | $94,224 |
| Software Developers | 1 | $132,330 |
Common job titles
Worksite states
Wage range
$102,500
25th
$119,662
median
$124,883
75th
$132,330
90th
Law firms used
- Ogletree Deakins Law Firm7
Recent filings
| Case | Job title | Status | Worksite | Decision |
|---|---|---|---|---|
| A-23097-24291 | Developer II | Certified | Mt. Laurel, NJ | Apr 22, 2024 |
| A-22187-84122 | Developer II | Certified | Mt. Laurel, NJ | May 3, 2023 |
| A-21250-40500 | Quality Analyst III | Certified | Mt. Laurel, NJ | Jul 18, 2022 |
| A-21063-58248 | Developer | Certified-Expired | Mt. Laurel, NJ | Dec 10, 2021 |
| A-20174-68026 | ISD Developer III | Certified-Expired | Mt. Laurel, NJ | Mar 15, 2021 |
| A-19294-73092 | ETL Developer III | Certified-Expired | Mt. Laurel, NJ | Mar 17, 2020 |
| A-19156-13934 | Developer II | Certified-Expired | Mount Laurel, NJ | Oct 25, 2019 |
Source: U.S. DOL OFLC PERM disclosure data. Wages are annual-equivalent; outliers excluded.