Congress has passed a retro-active 1.4% pay raise for 2019 in addition to a locality increase and 6 new localities.

Highest-Paid Employees of the National Agricultural Statistics Service

$146,979.58 AVERAGE PAY
$14.7M TOTAL PAY

This table shows the top-earning Federal employees of the National Agricultural Statistics Service in 2017, based on OPM data (base salary + bonuses).

The majority of these top-earning employees work as Statistics. The majority of these top-earning employees work in District Of Columbia.

Some employee names may be withheld by the OPM or individual agencies.
Rank Name Occupation Total Pay Location
1 Linda J. Young Mathematical Statistics $207,757 VA
2 Robin R. Picanso Statistics $187,000 DC
3 Hubert Hamer Mathematical Statistics $187,000 DC
4 Kevin L. Barnes Statistics $180,715 DC
5 Ronald A. Thompson Miscellaneous Administration And Program $180,200 DC
6 Joseph J. Prusacki Statistics $179,186 MO
7 Joseph L. Parsons Mathematical Statistics $177,223 DC
8 Jay V. Johnson Statistics $175,485 DC
9 Barbara R. Rater Statistics $175,451 DC
10 Daniel E. Kerestes Statistics $174,852 DC
11 Michael Valivullah Information Technology Management $172,614 DC
12 Dania P. Ferguson Statistics $161,900 DC
13 Wendy J. Barboza Mathematical Statistics $161,900 DC
14 Jaki Stanley McCarthy Statistics $161,900 DC
15 Gregory Preston Statistics $161,900 DC
16 June Turner Equal Employment Opportunity $161,900 DC
17 Arnold L. Wilcox Statistics $161,900 DC
18 Michael A. Steiner Mathematical Statistics $161,900 DC
19 Jeffrey T. Bailey Mathematical Statistics $161,900 DC
20 Lance L. Honig Statistics $158,888 DC
21 Christina S. Messer Statistics $158,730 CA
22 Pamela D. McGovern Mathematical Statistics $158,353 DC
23 Elvera T. Gleaton Information Technology Management $158,123 DC
24 Calvin Lee Bowling Information Technology Management $158,123 DC
25 Harold Milton Stein Miscellaneous Administration And Program $154,178 NJ
26 Troy Michele Joshua Statistics $153,730 DC
27 Renato Chan Information Technology Management $153,730 DC
28 David A. Brooks Miscellaneous Administration And Program $153,730 DC
29 Mark R. Miller Statistics $153,730 DC
30 Daniel G. Beckler Mathematical Statistics $153,730 DC
31 Scott G. Cox Statistics $153,730 DC
32 Mark A. Apodaca Mathematical Statistics $153,730 DC
33 Bradley Donovan Parks Statistics $152,108 MO
34 Dean C. Groskurth Statistics $151,097 NE
35 William R. Meyer Statistics $150,767 CO
36 Christopher A. Mertz Statistics $150,271 WA
37 Gerald D. Tillman Statistics $149,337 DC
38 David Paul Knopf Statistics $147,120 KY
39 Gregory A. Thessen Statistics $147,120 IA
40 Matthew J. Fetter Mathematical Statistics $146,088 DC
41 James A. Ewing Statistics $145,989 GA
42 Herbert D. Trice Information Technology Management $145,978 DC
43 Huong Luong Information Technology Management $145,779 DC
44 Jody McDaniel Statistics $145,710 DC
45 Forestine Herron Chapman Statistics $145,629 DC
46 Richard W. Mueller Information Technology Management $145,629 DC
47 Sarah E. Hoffman Mathematical Statistics $145,629 DC
48 Thomas A. Jacob Mathematical Statistics $145,629 DC
49 Gary R. Keough Statistics $145,205 NH
50 Suzanne King Public Affairs $144,945 DC
51 Jackie D. Baxter Information Technology Management $144,945 DC
52 Leonard N. Zeggert Information Technology Management $142,821 CO
53 Robert G. Hood Mathematical Statistics $142,353 DC
54 Terry Paul Oconnor Statistics $142,104 DC
55 Paul E. Williams Information Technology Management $141,894 DC
56 Kay Lee Turner Mathematical Statistics $141,894 DC
57 Donald Scott Buysse Statistics $140,552 DC
58 Bradley G. Summa Statistics $140,099 MO
59 Bruce A. Eklund Statistics $138,784 NJ
60 Pratts Jorge L. Garcia Statistics $138,160 DC
61 Dale P. Hawks Statistics $138,160 MD
62 Anthony R. Dorn Statistics $138,160 DC
63 Bruce A. Boess Statistics $138,160 DC
64 Larry C. Farrior Information Technology Management $138,160 DC
65 Richard Edward Holcomb Information Technology Management $138,160 DC
66 Jeffrey M. Beranek Statistics $138,160 DC
67 Wilbert C. Hundl Statistics $136,260 TX
68 Pamela K. Hird Statistics $135,465 DC
69 Steven J. Anderson Statistics $135,051 WA
70 Michelle Radice Statistics $134,885 DC
71 Scott E. Hollis Statistics $134,426 DC
72 Kathleen Elizabeth Ott Mathematical Statistics $134,426 DC
73 Joel Matthew Lehman Information Technology Management $134,426 DC
74 Thomas R. Kruchten Statistics $134,426 DC
75 Daryl L. Brinkman Statistics $134,426 DC
76 Harold Norman Ballou Statistics $134,426 DC
77 Daniel Jay Lofthus Statistics $133,399 MN
78 Marlo D. Johnson Statistics $132,362 MI
79 Todd A. Ballard Statistics $132,093 MO
80 King James Whetstone Statistics $131,864 PA
81 Debra K. Kenerson Statistics $131,833 TN
82 Ralph Vince Matthews Statistics $131,833 ID
83 Edward A. Wells Statistics $131,833 SC
84 Douglas A. Hartwig Statistics $131,833 IA
85 Mark A. Schleusener Statistics $131,833 IL
86 James C. Vogelsang Statistics $131,833 IN
87 Travis A. Averill Statistics $131,767 DC
88 Everett C. Olbert Statistics $131,404 DC
89 Dennis T. Koong Statistics $131,401 WA
90 Ravi Govada Information Technology Management $131,075 DC
91 Linda J. McMillan Statistics $130,692 DC
92 Shiela D. Corley Statistics $130,692 DC
93 David W. Hancock Statistics $130,692 DC
94 Liangrong Tang Information Technology Management $130,692 DC
95 Anita B. Webb Statistics $129,377 NC
96 Robert P. McEwen Mathematical Statistics $129,089 PA
97 David J. Losh Statistics $128,979 OR
98 Herman C. Ellison Statistics $128,475 VA
99 Mark E. Hudson Statistics $128,453 FL
100 Robert L. Garino Statistics $128,453 MO

Data Sources

The information provided on these pages is sourced from the Office of Personnel Management (OPM) Enterprise Human Resources Integration (EHRI) dataset. Postal Service data is managed exclusively by the USPS . All information is displayed unmodified and as provided by the source agency.

Federal employee salaries are public information under open government laws (5 U.S.C. § 552). FederalPay provides this data in the interest of government transparency — employee data may not be used for commercial soliciting or vending of any kind. Learn more about the FederalPay Employees Dataset here.

** This Document Provided By www.FederalPay.org - The Civil Employee's Resource **
Source: www.federalpay.org/employees/national-agricultural-statistics-service/top-100/2017