NewYorkCityPayroll.com NYC Payroll

Agency

TAXI & LIMOUSINE COMMISSION

Filtered to fiscal year 2019.

Employees

800

Rows

800

Titles

52

Total Payroll

$37,163,366.23

Fiscal Year Filters

All years FY 2025 FY 2024 FY 2023 FY 2022 FY 2021 FY 2020 FY 2019 FY 2018 FY 2017 FY 2016 FY 2015 FY 2014

Top Earners

  1. DIANNA M PENNETTI

    $198,656.28 across 1 record

  2. GARY A WEISS

    $189,101.79 across 1 record

  3. CHRISTOPHER C WILSON

    $187,101.67 across 1 record

  4. WILLIAM M HEINZEN

    $180,626.34 across 1 record

  5. ALLAN J FROMBERG

    $178,206.06 across 1 record

  6. JENNIFER L TAVIS

    $174,874.29 across 1 record

  7. MEERA C JOSHI

    $173,330.02 across 1 record

  8. RONALD A SOBERS

    $162,966.87 across 1 record

  9. DAWN M MILLER

    $161,271.24 across 1 record

  10. NICHOLAS A VENEZIA

    $160,833.52 across 1 record

  11. HAILIN WANG

    $151,588.42 across 1 record

  12. MARTIN A GRINDLEY

    $148,331.93 across 1 record

  13. VINCENT CHIN

    $143,820.83 across 1 record

  14. MARK S LEE

    $142,289.26 across 1 record

  15. CARMEN R ROJAS

    $141,511.84 across 1 record

Most Common Titles

  1. COMPUTER OPERATIONS MANAGER

    2 employees, 2 rows

  2. INVESTIGATOR

    2 employees, 2 rows

  3. ADMINISTRATIVE ACCOUNTANT

    1 employee, 1 row

  4. ADMINISTRATIVE MANAGER

    1 employee, 1 row

  5. ADMINISTRATIVE PROJECT MANAGER

    1 employee, 1 row

  6. ADMINISTRATIVE PUBLIC INFORMATION SPECIALIST

    1 employee, 1 row

  7. ADMINISTRATIVE QUALITY ASSURANCE SPECIALIST

    1 employee, 1 row

  8. ASSOCIATE CONTRACT SPECIALIST

    1 employee, 1 row

  9. ASSOCIATE STAFF ANALYST

    1 employee, 1 row

  10. CERTIFIED DATABASE ADMINISTRATOR

    1 employee, 1 row

  11. CERTIFIED IT DEVELOPER

    1 employee, 1 row

  12. CHAIRMAN

    1 employee, 1 row

  13. CITY RESEARCH SCIENTIST

    1 employee, 1 row

  14. CUSTOMER INFORMATION REPRESENTATIVE MA L 1549

    1 employee, 1 row

  15. ECONOMIST

    1 employee, 1 row

Source and Caveats

Source for v1: NYC Open Data dataset k397-673e. Raw source rows are preserved as imported.

OT hours before FY2023 are not directly comparable to FY2023 and later because the source methodology changed. Some names, agencies, and other fields may be redacted in the source and are displayed as provided.