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The Salaries of Property Professionals: A Research Study. Dr. Douglas N. Goetz, CPPM, CF Professor of Contract Management Defense Acquisition University Midwest Campus, OH. NEED FOR THIS STUDY. SEMINAL STUDY
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The Salaries of Property Professionals: A Research Study Dr. Douglas N. Goetz, CPPM, CF Professor of Contract Management Defense Acquisition University Midwest Campus, OH
NEED FOR THIS STUDY • SEMINAL STUDY • Provide Information to the Association as to the status of the membership and the profession • Provide a number of Benchmarks • Collect data regarding current Salaries of Property Professionals: • To Baseline Salaries & as a • Reference for all Property Professionals
SURVEY METHODOLOGY • Survey Design • Elizabeth Sprecher – Catalyst and the original designer of the Survey Instrument • We owe her our thanks • Content Validity of the Instrument • Reviewed by the NPMA Executive board • Numerous Changes were made to clarify the questions, job headings, and to “fit’ the survey instrument
SURVEY POPULATION AND METHODOLOGY • The population for this study consisted of ALL NPMA members as of 1 July 2005 • Therefore N=3819 • Survey Distribution was accomplished through a MAIL SURVEY with an optical scan form enclosed • with an NPMA addressed envelope
SURVEY RESPONSES • Survey Response Rate • 103 Mailings were returned as “undeliverable” thereby reducing our N to 3716 • 1062 Usable surveys were received by the cut-off date of July 27th. • Response Rate of 29%
ANONYMITY • ALL RESPONSES ARE ANNONYMOUS AND WILL NOT BE RELEASED – Even the RAW data, to maintain this anonymity.
Demographic Statistics Gender Age Employer Work Location Education Experience Other Variables NPMA Certification Membership Reimbursement # of People employed at Location # of People in PROPERTY MANAGEMENT at Location # of Line Items Of Property $ Value of Property CHARACTERISTICS SURVEYED AND THE BIGGEE – SALARIES!!!
X SEX GENDER • 582 Men • 55% • (Rounded) • 478 Women • 45% • (Rounded) Compared to 1997 Survey Data: 64% Male 36% Female
AGE • Compared to 1997 Data • Average Age was 48.18 • Average Age in this Survey was 49.23
EMPLOYER(Broad) • Other – Retired, Non-profit, Cherokee Nation, Consultant, etc.
WORK LOCATION • EAST • CT, DC, DE, MA, MD, ME, NH, NJ, NY, PA, RI, VA, VT, & WV • CENTRAL • IA, IL, IN, KS, KY, MI, MO, NE, ND, OH, SD, & WI • SOUTHERN • AL, AR, FL, GA, LA, MS, NC, OK, SC, TN, & TX • WESTERN • AK, AZ, CA, CO, HI, ID, MT, NV, NM, OR, UT, WA, & WY • OUTSIDE OF US • Bahamas, Canada, Iraq, UK, Bosnia, Guam, Japan
Geographic Locations Apologies for the map colors Interesting to get DATA for NPMA HQ as to “TOTAL” membership locations!
EDUCATION 8% 30% 14% 34% 13% <1% 1997 Survey Data 4% 42% 25% 14%
EXPERIENCE 13% <1% 1997 Survey Data 17% 29% 25% 8% 20%
NPMA MEMBERSHIP PAID FOR BY EMPLOYER • This one caused me to go Hmmmmm? DUH?
LOCATION OF PROPERTY A Good Area For More Research! • Logistics, Program Mgt., Support Services, Systems Engineering, Procurement, Security, Engineering, Business Services, Administration Services, Facilities, Asset Mgt., Real Estate and Facilities Mgt., Infrastructure Mgt., Real Estate, Legal, etc.
SALARIES MODAL SALARY 100K+ THE AVERAGE SALARY FOR AN NPMA MEMBER IS $62,850
SALARY COMPARISONSGOVERNMENT Versus INDUSTRY THE ETERNAL QUESTION – WHO MAKES MORE – GOVERNMENT EMPLOYEES or INDUSTRY EMPLOYEES? G=$55308 I=$63977
FUTURE ACTIONS • Small note of Apology • FULL WRITTEN TECHNICAL REPORT to be prepared presenting all of the reported data and additional information regarding: • # of Line Items of Property and Salary • $ Value of Property and Salary • Salaries by Region (East, Central, South and West) • BOTTOM LINE – We can slice and dice the data to analyze numerous relationships and correlations
CONCLUSIONS • A very successful survey • Provides the Association Leadership and its membership some much needed data • Provides a snapshot in time of the membership • Provides and will provide the member with a baseline to compare his/her salary.
REQUEST FOR HELP • I need some help with some “number crunching” (Due to time constraints – not ability) • Sooooo, If anyone would like to participate by assisting me with some of the analysis please feel free to contact me: • Give me your name and number • Note1 – requires SOME EXPERTISE in MS-EXCEL. • Note2 – Again, all data will remain anonymous.
THANK YOU ANY QUESTIONS???