SlideShare a Scribd company logo
1 of 14
Download to read offline
NACAS
BENCHMARKING
STUDYAUGUST 2020
Conducted by Vault Consulting, LLC
Copyright © 2020 NACAS. All rights reserved.
nacas.org
435 Merchant Walk Sq. Suite 300-139
Charlottesville, VA 22902
A Letter From Our CEO .......................................................................................... 3
Executive Summary
Survey Methodology............................................................................................................ 4
Participant Profile................................................................................................................. 5
Key Findings...........................................................................................................................6
	 •Balance Sheet................................................................................................................. 7
	 •Food Services.................................................................................................................8
	•Housing......................................................................................................................... 10
	•Bookstores.....................................................................................................................11
	•Parking............................................................................................................................12
Classification Data................................................................................................13
Appendix I - Participating Institutions.................................................................14
© Copyright 2020 NACAS. All rights reserved. The information contained herein shall not be distributed or shared
by the recipient. No part of this document may be reproduced without the express written permission of NACAS.
TABLE
OF CONTENTS
nacas.org | 3
A LETTER
FROM
OUR CEO
Dear NACAS Community,
Thank you so much to all those who participated in our first-ever Benchmarking study. This
effort was long in the making. We wanted to create a free, data-driven program that show-
cases the value of auxiliary services and validates the work we do every day to advance
campuses and impact student success. This is the first benchmarking program that collects
information across auxiliary services. Undoubtedly, this year has been a trying time for our
industry and it’s proven that we can no longer afford the time or resources of siloed data
analysis for your business decisions. Our benchmarking data provides the threads that tie
auxiliary portfolios together, contributing to the collective good of your communities.
It has been so rewarding to support and witness all facets of our organization coming
together to meet this end. It took years of planning through focus groups, membership
studies, surveys, strategic planning, an RFP process, and then the actual creation of our
survey and metrics in partnership with our tremendous volunteers. I would be remiss not to
recognize the staff, volunteer groups, and our dedicated partners at Vault Consulting who
contributed to this massive undertaking. While the timing of the pandemic had an impact
on our experience, I’m also so grateful we launched this program this year so we have a
baseline of data that is pre-coronavirus times.
We need to continue to work together to ensure that our students can be successful during
this time of rapid transformation within our society. While much remains unclear about
our future, we know that the current world climate demands change. The role of auxilia-
ry services within the higher education landscape is more important than ever. We must
work quickly and efficiently to ensure a bright future for our campuses while continuing
to contribute holistically to student success and wellness. NACAS is committed to working
alongside our members and business partners to provide the tools and resources necessary
to move into this next stage.
Let’s move forward together,
Kelsey Harmon Finn
NACAS CEO
nacas.org | 4
The inaugural NACAS Benchmarking Study is an important study conducted
by NACAS for its members. The survey collects key trending and financial
information on auxiliary services across college campuses. The report is
designed to allow college service leaders to easily compare their auxiliary
services offerings with their industry peers.
In February 2020, Vault Consulting, LLC (Vault) sent customized emails to approximately 744
NACAS members containing a URL to NACAS’ online survey instrument. A total of 83 responses
were used for the reported figures. The resulting survey response rate was 11.2%, which is a good
baseline given the global disruption of the coronavirus. We predict an increase in participation in
the next survey iteration.
Vault research analysts reviewed each individual institution’s survey data to ensure data quality
and identify potential clerical errors or missing data. Vault identified material outliers and the
specific institutions reporting such data. Vault staff then contacted participants to clarify any
questionable data points. Agreed upon edits to the data were incorporated into the final data-
base and report.
OUTLIERS AND DATA DISCLOSURE
Metrics that fell outside of 3 standard deviations from the mean were reviewed and excluded
from the data set where appropriate.
Throughout the interactive report dashboards, data is suppressed when there is insufficient
response data. The minimum threshold for displaying response data is three participating
institutions.
Data shared is in aggregate and no institutional information is displayed. All identifiable insti-
tutional data remains confidential.
SURVEY
METHODOLGY
nacas.org | 5
The NACAS Benchmarking Study attracted participation from a wide range of members. Institutions
from 28 US states and 3 Canadian provinces are represented in the data, with student populations
ranging from around 1,000 to nearly 60,000.This diversity in the sample allows for a wide range of
comparisons in the dataset and will enable members to compare their key performance indicators
against their most relevant peer group(s) (public/private, location, size, etc.). It also establishes a
strong base from which to grow with future iterations of the NACAS Benchmarking Study.
LOCATION
83% of participating institutions are in the United States. Participants from the East and
South region accounted for the largest share of respondents, with each accounting for just
over 30%. Schools in urban settings made up approximately half of the sample.
INSTITUTION TYPE & OPERATING STYLE
The vast majority of respondents (82%) were public institutions, and over 85% of respondents
reported that their auxiliary services were a mix of self-operated and contracted.
PARTICIPANT
PROFILE
Central
16.9%
31.3%
30.1%21.7%
West
East
South
nacas.org | 6
AUXILIARY SERVICES
Participants were asked to provide high-level financial information on 22 different auxiliary
services at their institutions. The data is the most robust for Bookstores, Food Services, and
Vending, for which 95% or more of respondents were able to provide data. Child Care was the
least reported service, with less than 40% of respondents reporting.
INSTITUTION SIZE
All four student population groupings were well represented. Institutions with a population of
5,001 – 15,000 students accounted for the largest portion of participants at 36%.
PARTICIPANT
PROFILE
Share of Participants Reporting
< 5,000
14.5%
36.1%
26.5%
22.9%
15,001 - 30,000
5,001 - 15,000
> 30,001
nacas.org | 7
KEY FINDINGS
BALANCE SHEET
The Study includes a detailed breakdown of balance sheet metrics among all auxiliary services
within participants’ campus portfolios.
Among labor costs as a percentage of total revenue, exempt employee wages (11.1%) and
non-exempt employee wages (10.8%) were, on average, the two largest categories. Total labor
costs averaged 31.8% of total revenue.
The Balance Sheet Breakdown section of the interactive report allow users to analyze findings
on over 20 metrics ranging from top level revenue and costs to specific labor and operating
cost categories, as well as auxiliary revenue contributions to campus. In each category, users
can see their institution’s data presented alongside the aggregate results of the Study.
Along with the analysis of financial indicators at the portfolio level, the Study also includes
detailed sections on four specific auxiliary services: Food Services, Housing, Bookstores, and
Parking. The content below highlights some of the key findings from each of those sections.
Future iterations of the NACAS Benchmarking Study may include examinations of other spe-
cific services that are of significant interest from members.
Labor Costs as a Percentage of Total Revenue
Auxiliary Revenue Contributions to Campus
● Direct Payments
● In-Kind sponsorships
● Other/Undefined2.2%
26.0%
71.8%
AVG. 25th % 50th % 75th %
a. Total Benefits (taxes, benefits, and 401k for all employees) 6.9% 2.8% 5.4% 8.4%
b. Exempt Employee Wages 11.1% 4.6% 6.2% 11.6%
c. Nonexempt Employee Wages 10.8% 4.1% 8.5% 14.4%
d. Student Wages 3.1% 1.1% 2.1% 4.2%
e. Temporary Employee Costs 2.1% 0.2% 0.9% 2.4%
nacas.org | 8
FOOD SERVICES
On average, residence meal plans made up the largest share of total Food Services revenue
(45.3%), followed by retail locations (26.8%) and catering (13.5%). As indicated by 25th, 50th,
and 75th percentiles for these revenue categories, there was a large range among participants
in terms of how each category contributed to their institution’s total Food Services revenue.
Using the tools available on the online interactive report platform will enable users to dig into the
data and explore how these revenue shares vary among different demographic lines.
A similar analysis of Food Services costs demonstrates the variances between Residence Dining
and Retail Locations, as well as between Food & Beverage and Labor costs.
Revenue Categories as a Percent of Total Food Services Revenue
Cost Breakdown - Residence vs Retail
AVG. 25th % 50th % 75th %
Concessions 1.0% 0.0% 0.0% 0.9%
Vending 6.0% 0.0% 0.4% 1.9%
Residence Meal Plans 45.3% 14.4% 51.4% 69.7%
Residence non meal plan sales 3.9% 0.0% 1.2% 3.6%
Retail locations 26.8% 5.5% 20.7% 37.5%
Catering 13.5% 5.0% 9.2% 15.0%
Other 3.6% 0.0% 0.0% 1.0%
AVG. 25th % 50th % 75th %
Residence Dining Costs 39.4% 24.7% 34.3% 47.5%
Total Food & Beverage Cost 19.5% 10.9% 14.8% 23.5%
Total Labor Cost 20.8% 12.2% 19.3% 26.8%
Retail Location Costs 48.8% 15.2% 26.0% 43.9%
Total Food & Beverage Cost 21.0% 8.4% 13.4% 23.4%
Total Labor Cost 28.6% 7.6% 13.9% 26.1%
nacas.org | 9
FOOD
SERVICES
Participants were asked whether a food insecurity program existed at their institution and, if so,
what kind. Overall, 76% reported having either a meal swipe donation program, a pantry dona-
tion program, or both.
The Study also includes an analysis of school meal plans, Food Services contributions paid to the
institution, and other key metrics such as average price per meal ($7.70).
● Meal Swipe Donation
● Pantry Donation
● Both
● None
Meal Type Offered
28
32
15
25
40
30
20
10
0
Type of Food Insecurity Program Offered
nacas.org | 10
HOUSING
One of the highlights of this section is the distribution of average housing square footage by
age of building. On average, buildings of 50 or more years old were the largest group, fol-
lowed by buildings less than 10 years old. While these rankings were consistent among public
schools in the study, housing square footage at private schools trended older on average, with
buildings less than 10 years old being the second smallest group. From a regional perspective,
the West region stood out as having significantly newer buildings on average than the other
three regions.
The Housing section of the Study also includes financial operations metrics as well as KPIs
related to residency requirements, square footage, and other metrics.
LESS THAN 10 YEARS 10-15 YEARS > 15-25 YEARS > 25-50 YEARS 50+ YEARS
305,149
419,566
333,452
Average Square Footage by Age of Building
528,331
800,000
600,000
400,000
200,000
0
756,021
nacas.org | 11
BOOKSTORES
Textbook sales (new, used, rental, digital) and sales margin analyses (new vs. used) are key
features of the Bookstores section of the Benchmarking Study. New textbook sales were consis-
tently the largest source of textbook revenue across most comparison groups, with used, rental,
and digital textbook sales averaging relatively similar sales but fluctuating among different de-
mographic categories. Average textbook spend per student among the entire sample was $443
but varied widely.
Textbook Sales Breakdown
Is your bookstore located within a student union
or student center?
Offer Financial Aid Textbook
Program
37.3%
62.7%
32.9%
67.1%
● No
● Yes
● My Institution
● Average
– 25th %
– 50th %
– 75th %$2,372,161
$422,213 $475,933 $483,593
$4,000,000
$3,000,000
$2,000,000
$1,000,000
0
NEW USED RENTAL TEXTBOOKS DIGITAL TEXTBOOKS
nacas.org | 12
PARKING
In addition to total revenue and total costs for Parking, the Study also collected data on permits
(both quantity and price), parking spots, and citations. The average annual parking permit price
was $383, although this fluctuated widely depending on demographic categories. Unsurprisingly,
the average annual parking permit price was highest among schools in urban settings ($508)
and lowest in rural settings ($167).
Parking Indicators
MEASURE INDUSTRY AVG. 25th % 50th % 75th %
Total Parking Spots 9,645 6,029 7,210 13,381
Total Student Parking Permits 6,638 3,639 6,354 8,493
Total Faculty/Staff Parking Permits 2,831 1,133 1,458 3,010
Total Other Parking Permits 2,164 628 714 2,976
Avg Annual Parking Permit Price ($) 167 68.8 140 209
Total Citations Issued 20,969 14,358 19,648 26,361
Permits To Spots 1.2 1.1 1.1 1.4
nacas.org | 13
CLASSIFICATION
DATA
Classifications among student population, full-time employees, institution type, and geographic
location were determined based on the demographic profile of the institution reported in the
survey. The reporting categories for each classification type are shown below.
REGION CATEGORIES
Central	 IA, IL, IN, KS, MI, MN, MO, ND, NE, OH, SD, WI
East	 CT, DC, DE, MA, MD, ME, NH, NJ, NY, PA, RI, VA, VT, WV, ON, NS, NL, AB, PE, QC, NS, UK, IRE, FR
South	 AL, AR, FL, GA, KY, LA, MS, NC, OK, SC, TN, TX, PR, US VI,
West	 AK, AZ, CA, CO, HI, ID, MT, NM, NV, OR, UT, WA, WY, BC, SK, MB, NZ, AUS, YT, NU, NT
COUNTRY CATEGORIES
United States	
Canada	
LOCATION TYPE CATEGORIES
Rural
Suburban	
Urban	
PUBLIC/PRIVATE CATEGORIES
Public	
Private	
INSTITUTION TYPE CATEGORIES
2 Year
4 Year
4 Year Plus Grad School	
Other	
OPERATING STYLE CATEGORIES
Combination/Other
Self-Operated	
Contracted	
NUMBER OF STUDENTS CATEGORIES
< 5,000	 5,001– 15,000
15,001– 30,000	 > 30,001
NUMBER OF EMPLOYEES CATEGORIES
< 300	 301– 700	
701– 1,000	 >1,001
nacas.org | 14
APPENDIX I:
PARTICIPATING
INSTITUTIONS
Angelo State University	 Prince George’s Community College
Antelope Valley College	 Rensselaer Polytechnic Institute
Arizona State University	 Ryerson University
Ashland University	 Saginaw Valley State University
Auburn University	 Shenandoah University
Binghamton University	 Shepherd University
Brock University	 Sheridan College
California Polytechnic State University-San Luis Obispo	 Sheridan College- Canada
Camosun College	 Simon Fraser University
Carleton University	 SUNY- Downstate Medical Center
Case Western Reserve University	 SUNY College- Geneseo
Central Michigan University	 Swarthmore College
Central Washington University	 UNC Charlotte
Clayton State University	 United States Naval Academy
Coastal Carolina University	 University Corporation At Monterey Bay
College of Charleston	 University of Alberta
College of Southern Nevada	 University of Arizona
College of Wooster	 University of British Columbia
Colorado School of Mines	 University of Calgary
Concordia University at Austin	 University of California- Riverside
Emory University	 University of Florida
Florida International University- MMC	 University of Georgia
Furman University	 University of Houston- Clear Lake
Georgia Southern University	 University of Houston- Downtown
Georgia Tech	 University of Houston- Main Campus
Indiana University- Bloomington	 University of Houston- Victoria
Interlochen Center For The Arts	 University of Illinois at Chicago
Lehigh University	 University of Illinois at Urbana-Champaign
MacEwan University	 University of Kentucky
Madison Area Technical College	 University of Maine- Orono
Middle Georgia State University	 University of Massachusetts- Amherst
Morgan Community College	 University of Michigan- Ann Arbor
Morgan State University	 University of New Hampshire- Durham
Mount Royal University	 University of San Diego
Norfolk State University	 University of Southern California
North Carolina A&T State University	 University of Southern Mississippi
North Carolina State University	 University of Wisconsin- Oshkosh
Northern Essex Community College	 University of Wisconsin-Green Bay
Northwestern University	 Valdosta State University
Oklahoma State University- Stillwater	 Vancouver Island University
Ontario Tech University	 Wilfrid Laurier University
Pepperdine University

More Related Content

What's hot

Effect of Voucher Programs on Utilization, Out-of-Pocket Expenditure and Qual...
Effect of Voucher Programs on Utilization, Out-of-Pocket Expenditure and Qual...Effect of Voucher Programs on Utilization, Out-of-Pocket Expenditure and Qual...
Effect of Voucher Programs on Utilization, Out-of-Pocket Expenditure and Qual...RBFHealth
 
Long run effects of temporary incentives on medical care productivity in Arge...
Long run effects of temporary incentives on medical care productivity in Arge...Long run effects of temporary incentives on medical care productivity in Arge...
Long run effects of temporary incentives on medical care productivity in Arge...RBFHealth
 
Research Symposium Presentation NwaukaO Final
Research Symposium Presentation NwaukaO FinalResearch Symposium Presentation NwaukaO Final
Research Symposium Presentation NwaukaO FinalOliver Nwauka
 
HSA 535 RANK Become Exceptional--hsa535rank.com
HSA 535 RANK Become Exceptional--hsa535rank.comHSA 535 RANK Become Exceptional--hsa535rank.com
HSA 535 RANK Become Exceptional--hsa535rank.comannebronte6
 
Using Data, Transforming Practice: Evaluating Mental Health Transformation in...
Using Data, Transforming Practice: Evaluating Mental Health Transformation in...Using Data, Transforming Practice: Evaluating Mental Health Transformation in...
Using Data, Transforming Practice: Evaluating Mental Health Transformation in...MHTP Webmastere
 
NIH Funding Poster
NIH Funding PosterNIH Funding Poster
NIH Funding PosterSam George
 
Sally Williams: acute trust responses to the Francis Report
Sally Williams: acute trust responses to the Francis ReportSally Williams: acute trust responses to the Francis Report
Sally Williams: acute trust responses to the Francis ReportNuffield Trust
 
Qualitative Research in Results-Based Financing: The Promise and The Reality
Qualitative Research in Results-Based Financing: The Promise and The RealityQualitative Research in Results-Based Financing: The Promise and The Reality
Qualitative Research in Results-Based Financing: The Promise and The RealityRBFHealth
 
saskdocs Presentation to RM of Eldon april 2013
saskdocs Presentation to RM of Eldon april 2013 saskdocs Presentation to RM of Eldon april 2013
saskdocs Presentation to RM of Eldon april 2013 James Winkel
 
OVC_HIVSTAT and Linkages to Care for Strengthened Collection, Analysis, and U...
OVC_HIVSTAT and Linkages to Care for Strengthened Collection, Analysis, and U...OVC_HIVSTAT and Linkages to Care for Strengthened Collection, Analysis, and U...
OVC_HIVSTAT and Linkages to Care for Strengthened Collection, Analysis, and U...MEASURE Evaluation
 
Health Information Analytics Courseware
Health Information Analytics CoursewareHealth Information Analytics Courseware
Health Information Analytics CoursewareFrank Wang
 
Hlt 605 Believe Possibilities / snaptutorial.com
Hlt 605   Believe Possibilities / snaptutorial.comHlt 605   Believe Possibilities / snaptutorial.com
Hlt 605 Believe Possibilities / snaptutorial.comStokesCope26
 
LMuldoon JRayner - 2015 CACHC Conference Presentation
LMuldoon JRayner - 2015 CACHC Conference PresentationLMuldoon JRayner - 2015 CACHC Conference Presentation
LMuldoon JRayner - 2015 CACHC Conference Presentationcachc
 
Data extraction/coding and database structure in meta-analysis
Data extraction/coding and database structure in meta-analysisData extraction/coding and database structure in meta-analysis
Data extraction/coding and database structure in meta-analysisRizwan S A
 
How to design effective and efficient real world trials TB Evidence 2014 10.2...
How to design effective and efficient real world trials TB Evidence 2014 10.2...How to design effective and efficient real world trials TB Evidence 2014 10.2...
How to design effective and efficient real world trials TB Evidence 2014 10.2...Todd Berner MD
 
Physician Recruitment: The Cost to Hire and Return on Investment
Physician Recruitment: The Cost to Hire and Return on InvestmentPhysician Recruitment: The Cost to Hire and Return on Investment
Physician Recruitment: The Cost to Hire and Return on InvestmentJackson Physician Search
 

What's hot (17)

Effect of Voucher Programs on Utilization, Out-of-Pocket Expenditure and Qual...
Effect of Voucher Programs on Utilization, Out-of-Pocket Expenditure and Qual...Effect of Voucher Programs on Utilization, Out-of-Pocket Expenditure and Qual...
Effect of Voucher Programs on Utilization, Out-of-Pocket Expenditure and Qual...
 
Long run effects of temporary incentives on medical care productivity in Arge...
Long run effects of temporary incentives on medical care productivity in Arge...Long run effects of temporary incentives on medical care productivity in Arge...
Long run effects of temporary incentives on medical care productivity in Arge...
 
Research Symposium Presentation NwaukaO Final
Research Symposium Presentation NwaukaO FinalResearch Symposium Presentation NwaukaO Final
Research Symposium Presentation NwaukaO Final
 
HSA 535 RANK Become Exceptional--hsa535rank.com
HSA 535 RANK Become Exceptional--hsa535rank.comHSA 535 RANK Become Exceptional--hsa535rank.com
HSA 535 RANK Become Exceptional--hsa535rank.com
 
Ccm info for_auths
Ccm info for_authsCcm info for_auths
Ccm info for_auths
 
Using Data, Transforming Practice: Evaluating Mental Health Transformation in...
Using Data, Transforming Practice: Evaluating Mental Health Transformation in...Using Data, Transforming Practice: Evaluating Mental Health Transformation in...
Using Data, Transforming Practice: Evaluating Mental Health Transformation in...
 
NIH Funding Poster
NIH Funding PosterNIH Funding Poster
NIH Funding Poster
 
Sally Williams: acute trust responses to the Francis Report
Sally Williams: acute trust responses to the Francis ReportSally Williams: acute trust responses to the Francis Report
Sally Williams: acute trust responses to the Francis Report
 
Qualitative Research in Results-Based Financing: The Promise and The Reality
Qualitative Research in Results-Based Financing: The Promise and The RealityQualitative Research in Results-Based Financing: The Promise and The Reality
Qualitative Research in Results-Based Financing: The Promise and The Reality
 
saskdocs Presentation to RM of Eldon april 2013
saskdocs Presentation to RM of Eldon april 2013 saskdocs Presentation to RM of Eldon april 2013
saskdocs Presentation to RM of Eldon april 2013
 
OVC_HIVSTAT and Linkages to Care for Strengthened Collection, Analysis, and U...
OVC_HIVSTAT and Linkages to Care for Strengthened Collection, Analysis, and U...OVC_HIVSTAT and Linkages to Care for Strengthened Collection, Analysis, and U...
OVC_HIVSTAT and Linkages to Care for Strengthened Collection, Analysis, and U...
 
Health Information Analytics Courseware
Health Information Analytics CoursewareHealth Information Analytics Courseware
Health Information Analytics Courseware
 
Hlt 605 Believe Possibilities / snaptutorial.com
Hlt 605   Believe Possibilities / snaptutorial.comHlt 605   Believe Possibilities / snaptutorial.com
Hlt 605 Believe Possibilities / snaptutorial.com
 
LMuldoon JRayner - 2015 CACHC Conference Presentation
LMuldoon JRayner - 2015 CACHC Conference PresentationLMuldoon JRayner - 2015 CACHC Conference Presentation
LMuldoon JRayner - 2015 CACHC Conference Presentation
 
Data extraction/coding and database structure in meta-analysis
Data extraction/coding and database structure in meta-analysisData extraction/coding and database structure in meta-analysis
Data extraction/coding and database structure in meta-analysis
 
How to design effective and efficient real world trials TB Evidence 2014 10.2...
How to design effective and efficient real world trials TB Evidence 2014 10.2...How to design effective and efficient real world trials TB Evidence 2014 10.2...
How to design effective and efficient real world trials TB Evidence 2014 10.2...
 
Physician Recruitment: The Cost to Hire and Return on Investment
Physician Recruitment: The Cost to Hire and Return on InvestmentPhysician Recruitment: The Cost to Hire and Return on Investment
Physician Recruitment: The Cost to Hire and Return on Investment
 

Similar to NACAS | Bench Marking Survey

The Importance of a Quality Reporting Process in a Pay-for-Performance Enviro...
The Importance of a Quality Reporting Process in a Pay-for-Performance Enviro...The Importance of a Quality Reporting Process in a Pay-for-Performance Enviro...
The Importance of a Quality Reporting Process in a Pay-for-Performance Enviro...Mallory Johnson
 
Young CPAs Research Summary & Recommendations
Young CPAs Research Summary & RecommendationsYoung CPAs Research Summary & Recommendations
Young CPAs Research Summary & RecommendationsCarolyn Hook
 
Darden Essays.pdfDarden Essays
Darden Essays.pdfDarden EssaysDarden Essays.pdfDarden Essays
Darden Essays.pdfDarden Essaysiyldyzadf
 
Are Dashboards the Magic Bullet?
Are Dashboards the Magic Bullet?Are Dashboards the Magic Bullet?
Are Dashboards the Magic Bullet?Amanda Makulec
 
Community Health AssessmentToggle DrawerOverviewWrite a 2 .docx
Community Health AssessmentToggle DrawerOverviewWrite a 2 .docxCommunity Health AssessmentToggle DrawerOverviewWrite a 2 .docx
Community Health AssessmentToggle DrawerOverviewWrite a 2 .docxdonnajames55
 
Integrating the CHNA into the Strategy
Integrating the CHNA into the StrategyIntegrating the CHNA into the Strategy
Integrating the CHNA into the StrategyStratasan
 
best_practices_residency_program_interviews_09132016
best_practices_residency_program_interviews_09132016best_practices_residency_program_interviews_09132016
best_practices_residency_program_interviews_09132016Amy Addams
 
A Pulse of Predictive Analytics In Higher Education │ Civitas Learning
A Pulse of Predictive Analytics In Higher Education │ Civitas LearningA Pulse of Predictive Analytics In Higher Education │ Civitas Learning
A Pulse of Predictive Analytics In Higher Education │ Civitas LearningCivitas Learning
 
TeamHADOC_PRED498_SEC59_FA2015_PP_FinalPaper
TeamHADOC_PRED498_SEC59_FA2015_PP_FinalPaperTeamHADOC_PRED498_SEC59_FA2015_PP_FinalPaper
TeamHADOC_PRED498_SEC59_FA2015_PP_FinalPaperStephanie Couch
 
Running head STATISTICS RESEARCH DESIGN METHODS .docx
Running head STATISTICS RESEARCH DESIGN METHODS                 .docxRunning head STATISTICS RESEARCH DESIGN METHODS                 .docx
Running head STATISTICS RESEARCH DESIGN METHODS .docxagnesdcarey33086
 
Nacubo Heaf Speech On Dashboards
Nacubo Heaf Speech On DashboardsNacubo Heaf Speech On Dashboards
Nacubo Heaf Speech On DashboardsNick Wallace
 
Continuing Medical Education Market Info -- August 2013
Continuing Medical Education Market Info -- August 2013Continuing Medical Education Market Info -- August 2013
Continuing Medical Education Market Info -- August 2013Charge Ahead Marketing
 
Centralization of Healthcare Insurance.docx
Centralization of Healthcare Insurance.docxCentralization of Healthcare Insurance.docx
Centralization of Healthcare Insurance.docxwrite31
 
Adverse Event or Near Miss Analysis DetailsAt.docx
Adverse Event or Near Miss Analysis DetailsAt.docxAdverse Event or Near Miss Analysis DetailsAt.docx
Adverse Event or Near Miss Analysis DetailsAt.docxcoubroughcosta
 
year_three_annual_report_final_7114_0
year_three_annual_report_final_7114_0year_three_annual_report_final_7114_0
year_three_annual_report_final_7114_0Brock McIntosh
 
Chamberlain College of Nursing NR443 Community Health Nursing.docx
Chamberlain College of Nursing  NR443 Community Health Nursing.docxChamberlain College of Nursing  NR443 Community Health Nursing.docx
Chamberlain College of Nursing NR443 Community Health Nursing.docxtidwellveronique
 
Nonprofit Financial Information OnlineIn the United States, the .docx
Nonprofit Financial Information OnlineIn the United States, the .docxNonprofit Financial Information OnlineIn the United States, the .docx
Nonprofit Financial Information OnlineIn the United States, the .docxhenrymartin15260
 

Similar to NACAS | Bench Marking Survey (20)

The Importance of a Quality Reporting Process in a Pay-for-Performance Enviro...
The Importance of a Quality Reporting Process in a Pay-for-Performance Enviro...The Importance of a Quality Reporting Process in a Pay-for-Performance Enviro...
The Importance of a Quality Reporting Process in a Pay-for-Performance Enviro...
 
Young CPAs Research Summary & Recommendations
Young CPAs Research Summary & RecommendationsYoung CPAs Research Summary & Recommendations
Young CPAs Research Summary & Recommendations
 
Darden Essays.pdfDarden Essays
Darden Essays.pdfDarden EssaysDarden Essays.pdfDarden Essays
Darden Essays.pdfDarden Essays
 
Are Dashboards the Magic Bullet?
Are Dashboards the Magic Bullet?Are Dashboards the Magic Bullet?
Are Dashboards the Magic Bullet?
 
Community Health AssessmentToggle DrawerOverviewWrite a 2 .docx
Community Health AssessmentToggle DrawerOverviewWrite a 2 .docxCommunity Health AssessmentToggle DrawerOverviewWrite a 2 .docx
Community Health AssessmentToggle DrawerOverviewWrite a 2 .docx
 
BOCAIP Writing Guide
BOCAIP Writing GuideBOCAIP Writing Guide
BOCAIP Writing Guide
 
Integrating the CHNA into the Strategy
Integrating the CHNA into the StrategyIntegrating the CHNA into the Strategy
Integrating the CHNA into the Strategy
 
best_practices_residency_program_interviews_09132016
best_practices_residency_program_interviews_09132016best_practices_residency_program_interviews_09132016
best_practices_residency_program_interviews_09132016
 
Survey manual
Survey manualSurvey manual
Survey manual
 
A Pulse of Predictive Analytics In Higher Education │ Civitas Learning
A Pulse of Predictive Analytics In Higher Education │ Civitas LearningA Pulse of Predictive Analytics In Higher Education │ Civitas Learning
A Pulse of Predictive Analytics In Higher Education │ Civitas Learning
 
TeamHADOC_PRED498_SEC59_FA2015_PP_FinalPaper
TeamHADOC_PRED498_SEC59_FA2015_PP_FinalPaperTeamHADOC_PRED498_SEC59_FA2015_PP_FinalPaper
TeamHADOC_PRED498_SEC59_FA2015_PP_FinalPaper
 
Running head STATISTICS RESEARCH DESIGN METHODS .docx
Running head STATISTICS RESEARCH DESIGN METHODS                 .docxRunning head STATISTICS RESEARCH DESIGN METHODS                 .docx
Running head STATISTICS RESEARCH DESIGN METHODS .docx
 
Nacubo Heaf Speech On Dashboards
Nacubo Heaf Speech On DashboardsNacubo Heaf Speech On Dashboards
Nacubo Heaf Speech On Dashboards
 
Continuing Medical Education Market Info -- August 2013
Continuing Medical Education Market Info -- August 2013Continuing Medical Education Market Info -- August 2013
Continuing Medical Education Market Info -- August 2013
 
Centralization of Healthcare Insurance.docx
Centralization of Healthcare Insurance.docxCentralization of Healthcare Insurance.docx
Centralization of Healthcare Insurance.docx
 
Adverse Event or Near Miss Analysis DetailsAt.docx
Adverse Event or Near Miss Analysis DetailsAt.docxAdverse Event or Near Miss Analysis DetailsAt.docx
Adverse Event or Near Miss Analysis DetailsAt.docx
 
BOR Report-Final
BOR Report-FinalBOR Report-Final
BOR Report-Final
 
year_three_annual_report_final_7114_0
year_three_annual_report_final_7114_0year_three_annual_report_final_7114_0
year_three_annual_report_final_7114_0
 
Chamberlain College of Nursing NR443 Community Health Nursing.docx
Chamberlain College of Nursing  NR443 Community Health Nursing.docxChamberlain College of Nursing  NR443 Community Health Nursing.docx
Chamberlain College of Nursing NR443 Community Health Nursing.docx
 
Nonprofit Financial Information OnlineIn the United States, the .docx
Nonprofit Financial Information OnlineIn the United States, the .docxNonprofit Financial Information OnlineIn the United States, the .docx
Nonprofit Financial Information OnlineIn the United States, the .docx
 

More from Tim O'Leary

DEVICE MANAGEMENT-WHY?
DEVICE MANAGEMENT-WHY?DEVICE MANAGEMENT-WHY?
DEVICE MANAGEMENT-WHY?Tim O'Leary
 
#DBO19; "COST EFFECTIVENESS"
#DBO19; "COST EFFECTIVENESS"#DBO19; "COST EFFECTIVENESS"
#DBO19; "COST EFFECTIVENESS"Tim O'Leary
 
Adopting a 'One Boat' Mindset Will Help with Organizational Change
Adopting a 'One Boat' Mindset Will Help with Organizational ChangeAdopting a 'One Boat' Mindset Will Help with Organizational Change
Adopting a 'One Boat' Mindset Will Help with Organizational ChangeTim O'Leary
 
Smart Managed Print Services
Smart Managed Print ServicesSmart Managed Print Services
Smart Managed Print ServicesTim O'Leary
 
Gartner magic quadrant_2017
Gartner magic quadrant_2017Gartner magic quadrant_2017
Gartner magic quadrant_2017Tim O'Leary
 
POSTAL RATE CHANGES FOR 2018
POSTAL RATE CHANGES FOR 2018POSTAL RATE CHANGES FOR 2018
POSTAL RATE CHANGES FOR 2018Tim O'Leary
 
Canon Solutions America - Beaverton Branch
Canon Solutions America - Beaverton BranchCanon Solutions America - Beaverton Branch
Canon Solutions America - Beaverton BranchTim O'Leary
 
Therefore for-operations-quick-reference
Therefore for-operations-quick-referenceTherefore for-operations-quick-reference
Therefore for-operations-quick-referenceTim O'Leary
 
Another option for Adobe
Another option for Adobe Another option for Adobe
Another option for Adobe Tim O'Leary
 
2017 Energy Star Award
2017 Energy Star Award2017 Energy Star Award
2017 Energy Star AwardTim O'Leary
 
Canon's offical market share for 2016
Canon's offical market share for 2016Canon's offical market share for 2016
Canon's offical market share for 2016Tim O'Leary
 
Scanning workflow-automation-infographic
Scanning workflow-automation-infographicScanning workflow-automation-infographic
Scanning workflow-automation-infographicTim O'Leary
 
FOUR BEST PRACTICES TO IMPROVE DOC SECURITY
FOUR BEST PRACTICES TO IMPROVE DOC SECURITYFOUR BEST PRACTICES TO IMPROVE DOC SECURITY
FOUR BEST PRACTICES TO IMPROVE DOC SECURITYTim O'Leary
 
Document Security
Document SecurityDocument Security
Document SecurityTim O'Leary
 
2017 reputation study results canon no4
2017 reputation study results canon no42017 reputation study results canon no4
2017 reputation study results canon no4Tim O'Leary
 
Buyer Lab Highly Recommended MFP
Buyer Lab Highly Recommended MFPBuyer Lab Highly Recommended MFP
Buyer Lab Highly Recommended MFPTim O'Leary
 
Bli lab report kyocera tas kalfa 3252ci
Bli lab report   kyocera tas kalfa 3252ciBli lab report   kyocera tas kalfa 3252ci
Bli lab report kyocera tas kalfa 3252ciTim O'Leary
 
Working intell 21st century
Working intell 21st centuryWorking intell 21st century
Working intell 21st centuryTim O'Leary
 
Strategic Way of Thinking
Strategic Way of ThinkingStrategic Way of Thinking
Strategic Way of ThinkingTim O'Leary
 

More from Tim O'Leary (20)

DEVICE MANAGEMENT-WHY?
DEVICE MANAGEMENT-WHY?DEVICE MANAGEMENT-WHY?
DEVICE MANAGEMENT-WHY?
 
#DBO19; "COST EFFECTIVENESS"
#DBO19; "COST EFFECTIVENESS"#DBO19; "COST EFFECTIVENESS"
#DBO19; "COST EFFECTIVENESS"
 
Adopting a 'One Boat' Mindset Will Help with Organizational Change
Adopting a 'One Boat' Mindset Will Help with Organizational ChangeAdopting a 'One Boat' Mindset Will Help with Organizational Change
Adopting a 'One Boat' Mindset Will Help with Organizational Change
 
Smart Managed Print Services
Smart Managed Print ServicesSmart Managed Print Services
Smart Managed Print Services
 
Gartner magic quadrant_2017
Gartner magic quadrant_2017Gartner magic quadrant_2017
Gartner magic quadrant_2017
 
POSTAL RATE CHANGES FOR 2018
POSTAL RATE CHANGES FOR 2018POSTAL RATE CHANGES FOR 2018
POSTAL RATE CHANGES FOR 2018
 
NEW USPS RATES
NEW USPS RATESNEW USPS RATES
NEW USPS RATES
 
Canon Solutions America - Beaverton Branch
Canon Solutions America - Beaverton BranchCanon Solutions America - Beaverton Branch
Canon Solutions America - Beaverton Branch
 
Therefore for-operations-quick-reference
Therefore for-operations-quick-referenceTherefore for-operations-quick-reference
Therefore for-operations-quick-reference
 
Another option for Adobe
Another option for Adobe Another option for Adobe
Another option for Adobe
 
2017 Energy Star Award
2017 Energy Star Award2017 Energy Star Award
2017 Energy Star Award
 
Canon's offical market share for 2016
Canon's offical market share for 2016Canon's offical market share for 2016
Canon's offical market share for 2016
 
Scanning workflow-automation-infographic
Scanning workflow-automation-infographicScanning workflow-automation-infographic
Scanning workflow-automation-infographic
 
FOUR BEST PRACTICES TO IMPROVE DOC SECURITY
FOUR BEST PRACTICES TO IMPROVE DOC SECURITYFOUR BEST PRACTICES TO IMPROVE DOC SECURITY
FOUR BEST PRACTICES TO IMPROVE DOC SECURITY
 
Document Security
Document SecurityDocument Security
Document Security
 
2017 reputation study results canon no4
2017 reputation study results canon no42017 reputation study results canon no4
2017 reputation study results canon no4
 
Buyer Lab Highly Recommended MFP
Buyer Lab Highly Recommended MFPBuyer Lab Highly Recommended MFP
Buyer Lab Highly Recommended MFP
 
Bli lab report kyocera tas kalfa 3252ci
Bli lab report   kyocera tas kalfa 3252ciBli lab report   kyocera tas kalfa 3252ci
Bli lab report kyocera tas kalfa 3252ci
 
Working intell 21st century
Working intell 21st centuryWorking intell 21st century
Working intell 21st century
 
Strategic Way of Thinking
Strategic Way of ThinkingStrategic Way of Thinking
Strategic Way of Thinking
 

Recently uploaded

KAKINADA CALL GIRL 92628/71154 KAKINADA C
KAKINADA CALL GIRL 92628/71154 KAKINADA CKAKINADA CALL GIRL 92628/71154 KAKINADA C
KAKINADA CALL GIRL 92628/71154 KAKINADA CNiteshKumar82226
 
JABALPUR CALL GIRL 92628/71154 JABALPUR K
JABALPUR CALL GIRL 92628/71154 JABALPUR KJABALPUR CALL GIRL 92628/71154 JABALPUR K
JABALPUR CALL GIRL 92628/71154 JABALPUR KNiteshKumar82226
 
Call Girls In {{Green Park Delhi}}9667938988 Indian Russian High Profile Esco...
Call Girls In {{Green Park Delhi}}9667938988 Indian Russian High Profile Esco...Call Girls In {{Green Park Delhi}}9667938988 Indian Russian High Profile Esco...
Call Girls In {{Green Park Delhi}}9667938988 Indian Russian High Profile Esco...aakahthapa70
 
RAJKOT CALL GIRLS 92628/71154 RAJKOT CAL
RAJKOT CALL GIRLS 92628/71154 RAJKOT CALRAJKOT CALL GIRLS 92628/71154 RAJKOT CAL
RAJKOT CALL GIRLS 92628/71154 RAJKOT CALNiteshKumar82226
 
+91-9310611641 Russian Call Girls In New Delhi Independent Russian Call Girls...
+91-9310611641 Russian Call Girls In New Delhi Independent Russian Call Girls...+91-9310611641 Russian Call Girls In New Delhi Independent Russian Call Girls...
+91-9310611641 Russian Call Girls In New Delhi Independent Russian Call Girls...teencall080
 
9891550660 Call Girls In Noida Sector 62 Short 1500 Night 6000
9891550660 Call Girls In Noida Sector 62 Short 1500 Night 60009891550660 Call Girls In Noida Sector 62 Short 1500 Night 6000
9891550660 Call Girls In Noida Sector 62 Short 1500 Night 6000teencall080
 
Call Now ☎9870417354|| Call Girls in Noida Sector 12 Escort Service Noida N.C.R.
Call Now ☎9870417354|| Call Girls in Noida Sector 12 Escort Service Noida N.C.R.Call Now ☎9870417354|| Call Girls in Noida Sector 12 Escort Service Noida N.C.R.
Call Now ☎9870417354|| Call Girls in Noida Sector 12 Escort Service Noida N.C.R.riyadelhic riyadelhic
 
Call Girls in Luxus Grand Hotel | 💋 03274100048
Call Girls in Luxus Grand Hotel | 💋 03274100048Call Girls in Luxus Grand Hotel | 💋 03274100048
Call Girls in Luxus Grand Hotel | 💋 03274100048Ifra Zohaib
 
Hire 💕 8617370543 Uttara Kannada Call Girls Service Call Girls Agency
Hire 💕 8617370543 Uttara Kannada Call Girls Service Call Girls AgencyHire 💕 8617370543 Uttara Kannada Call Girls Service Call Girls Agency
Hire 💕 8617370543 Uttara Kannada Call Girls Service Call Girls AgencyJia Oberoi
 
Girls For Night in Islamabad | 03274100048 🔞
Girls For Night in Islamabad | 03274100048 🔞Girls For Night in Islamabad | 03274100048 🔞
Girls For Night in Islamabad | 03274100048 🔞Ifra Zohaib
 
Call Girl Rohini ❤️7065000506 Pooja@ Rohini Call Girls Near Me ❤️♀️@ Sexy Cal...
Call Girl Rohini ❤️7065000506 Pooja@ Rohini Call Girls Near Me ❤️♀️@ Sexy Cal...Call Girl Rohini ❤️7065000506 Pooja@ Rohini Call Girls Near Me ❤️♀️@ Sexy Cal...
Call Girl Rohini ❤️7065000506 Pooja@ Rohini Call Girls Near Me ❤️♀️@ Sexy Cal...Sheetaleventcompany
 
Best VIP Call Girls Noida Sector 23 Call Me: 8700611579
Best VIP Call Girls Noida Sector 23 Call Me: 8700611579Best VIP Call Girls Noida Sector 23 Call Me: 8700611579
Best VIP Call Girls Noida Sector 23 Call Me: 8700611579diyaspanoida
 
Hire 💕 9907093804 IMT Manesar Call Girls Service Call Girls Agency
Hire 💕 9907093804 IMT Manesar Call Girls Service Call Girls AgencyHire 💕 9907093804 IMT Manesar Call Girls Service Call Girls Agency
Hire 💕 9907093804 IMT Manesar Call Girls Service Call Girls AgencySheetal Arora
 
Call Girls in Rawalpindi | 🍆💦 03280288848
Call Girls in Rawalpindi | 🍆💦 03280288848Call Girls in Rawalpindi | 🍆💦 03280288848
Call Girls in Rawalpindi | 🍆💦 03280288848Ifra Zohaib
 
Call Now ☎9870417354|| Call Girls in Gurgaon Sector 13 Escort Service Gurgaon...
Call Now ☎9870417354|| Call Girls in Gurgaon Sector 13 Escort Service Gurgaon...Call Now ☎9870417354|| Call Girls in Gurgaon Sector 13 Escort Service Gurgaon...
Call Now ☎9870417354|| Call Girls in Gurgaon Sector 13 Escort Service Gurgaon...riyadelhic riyadelhic
 
Indore Call girl service 6289102337 indore escort service
Indore Call girl service 6289102337 indore escort serviceIndore Call girl service 6289102337 indore escort service
Indore Call girl service 6289102337 indore escort servicemaheshsingh64440
 
Call Now ☎9870417354|| Call Girls in Noida Sector 18 Escort Service Noida N.C.R.
Call Now ☎9870417354|| Call Girls in Noida Sector 18 Escort Service Noida N.C.R.Call Now ☎9870417354|| Call Girls in Noida Sector 18 Escort Service Noida N.C.R.
Call Now ☎9870417354|| Call Girls in Noida Sector 18 Escort Service Noida N.C.R.riyadelhic riyadelhic
 
Call Girls In mahipalpur (delhi) call me [8800343505 ] escort service 24X7
Call Girls In mahipalpur (delhi) call me [8800343505 ] escort service 24X7Call Girls In mahipalpur (delhi) call me [8800343505 ] escort service 24X7
Call Girls In mahipalpur (delhi) call me [8800343505 ] escort service 24X7shoniya sharma
 

Recently uploaded (20)

KAKINADA CALL GIRL 92628/71154 KAKINADA C
KAKINADA CALL GIRL 92628/71154 KAKINADA CKAKINADA CALL GIRL 92628/71154 KAKINADA C
KAKINADA CALL GIRL 92628/71154 KAKINADA C
 
Call Girls In Goa For Fun 9316020077 By Goa Call Girls For Pick Up Night
Call Girls In  Goa  For Fun 9316020077 By  Goa  Call Girls For Pick Up NightCall Girls In  Goa  For Fun 9316020077 By  Goa  Call Girls For Pick Up Night
Call Girls In Goa For Fun 9316020077 By Goa Call Girls For Pick Up Night
 
JABALPUR CALL GIRL 92628/71154 JABALPUR K
JABALPUR CALL GIRL 92628/71154 JABALPUR KJABALPUR CALL GIRL 92628/71154 JABALPUR K
JABALPUR CALL GIRL 92628/71154 JABALPUR K
 
Call Girls In {{Green Park Delhi}}9667938988 Indian Russian High Profile Esco...
Call Girls In {{Green Park Delhi}}9667938988 Indian Russian High Profile Esco...Call Girls In {{Green Park Delhi}}9667938988 Indian Russian High Profile Esco...
Call Girls In {{Green Park Delhi}}9667938988 Indian Russian High Profile Esco...
 
RAJKOT CALL GIRLS 92628/71154 RAJKOT CAL
RAJKOT CALL GIRLS 92628/71154 RAJKOT CALRAJKOT CALL GIRLS 92628/71154 RAJKOT CAL
RAJKOT CALL GIRLS 92628/71154 RAJKOT CAL
 
+91-9310611641 Russian Call Girls In New Delhi Independent Russian Call Girls...
+91-9310611641 Russian Call Girls In New Delhi Independent Russian Call Girls...+91-9310611641 Russian Call Girls In New Delhi Independent Russian Call Girls...
+91-9310611641 Russian Call Girls In New Delhi Independent Russian Call Girls...
 
9891550660 Call Girls In Noida Sector 62 Short 1500 Night 6000
9891550660 Call Girls In Noida Sector 62 Short 1500 Night 60009891550660 Call Girls In Noida Sector 62 Short 1500 Night 6000
9891550660 Call Girls In Noida Sector 62 Short 1500 Night 6000
 
Call Now ☎9870417354|| Call Girls in Noida Sector 12 Escort Service Noida N.C.R.
Call Now ☎9870417354|| Call Girls in Noida Sector 12 Escort Service Noida N.C.R.Call Now ☎9870417354|| Call Girls in Noida Sector 12 Escort Service Noida N.C.R.
Call Now ☎9870417354|| Call Girls in Noida Sector 12 Escort Service Noida N.C.R.
 
Call Girls in Luxus Grand Hotel | 💋 03274100048
Call Girls in Luxus Grand Hotel | 💋 03274100048Call Girls in Luxus Grand Hotel | 💋 03274100048
Call Girls in Luxus Grand Hotel | 💋 03274100048
 
Hire 💕 8617370543 Uttara Kannada Call Girls Service Call Girls Agency
Hire 💕 8617370543 Uttara Kannada Call Girls Service Call Girls AgencyHire 💕 8617370543 Uttara Kannada Call Girls Service Call Girls Agency
Hire 💕 8617370543 Uttara Kannada Call Girls Service Call Girls Agency
 
Girls For Night in Islamabad | 03274100048 🔞
Girls For Night in Islamabad | 03274100048 🔞Girls For Night in Islamabad | 03274100048 🔞
Girls For Night in Islamabad | 03274100048 🔞
 
➥🔝9953056974 🔝▻ Anand Vihar Call-girl in Women Seeking Men 🔝Delhi🔝 NCR
➥🔝9953056974 🔝▻ Anand Vihar Call-girl in Women Seeking Men 🔝Delhi🔝 NCR➥🔝9953056974 🔝▻ Anand Vihar Call-girl in Women Seeking Men 🔝Delhi🔝 NCR
➥🔝9953056974 🔝▻ Anand Vihar Call-girl in Women Seeking Men 🔝Delhi🔝 NCR
 
Call Girl Rohini ❤️7065000506 Pooja@ Rohini Call Girls Near Me ❤️♀️@ Sexy Cal...
Call Girl Rohini ❤️7065000506 Pooja@ Rohini Call Girls Near Me ❤️♀️@ Sexy Cal...Call Girl Rohini ❤️7065000506 Pooja@ Rohini Call Girls Near Me ❤️♀️@ Sexy Cal...
Call Girl Rohini ❤️7065000506 Pooja@ Rohini Call Girls Near Me ❤️♀️@ Sexy Cal...
 
Best VIP Call Girls Noida Sector 23 Call Me: 8700611579
Best VIP Call Girls Noida Sector 23 Call Me: 8700611579Best VIP Call Girls Noida Sector 23 Call Me: 8700611579
Best VIP Call Girls Noida Sector 23 Call Me: 8700611579
 
Hire 💕 9907093804 IMT Manesar Call Girls Service Call Girls Agency
Hire 💕 9907093804 IMT Manesar Call Girls Service Call Girls AgencyHire 💕 9907093804 IMT Manesar Call Girls Service Call Girls Agency
Hire 💕 9907093804 IMT Manesar Call Girls Service Call Girls Agency
 
Call Girls in Rawalpindi | 🍆💦 03280288848
Call Girls in Rawalpindi | 🍆💦 03280288848Call Girls in Rawalpindi | 🍆💦 03280288848
Call Girls in Rawalpindi | 🍆💦 03280288848
 
Call Now ☎9870417354|| Call Girls in Gurgaon Sector 13 Escort Service Gurgaon...
Call Now ☎9870417354|| Call Girls in Gurgaon Sector 13 Escort Service Gurgaon...Call Now ☎9870417354|| Call Girls in Gurgaon Sector 13 Escort Service Gurgaon...
Call Now ☎9870417354|| Call Girls in Gurgaon Sector 13 Escort Service Gurgaon...
 
Indore Call girl service 6289102337 indore escort service
Indore Call girl service 6289102337 indore escort serviceIndore Call girl service 6289102337 indore escort service
Indore Call girl service 6289102337 indore escort service
 
Call Now ☎9870417354|| Call Girls in Noida Sector 18 Escort Service Noida N.C.R.
Call Now ☎9870417354|| Call Girls in Noida Sector 18 Escort Service Noida N.C.R.Call Now ☎9870417354|| Call Girls in Noida Sector 18 Escort Service Noida N.C.R.
Call Now ☎9870417354|| Call Girls in Noida Sector 18 Escort Service Noida N.C.R.
 
Call Girls In mahipalpur (delhi) call me [8800343505 ] escort service 24X7
Call Girls In mahipalpur (delhi) call me [8800343505 ] escort service 24X7Call Girls In mahipalpur (delhi) call me [8800343505 ] escort service 24X7
Call Girls In mahipalpur (delhi) call me [8800343505 ] escort service 24X7
 

NACAS | Bench Marking Survey

  • 1. NACAS BENCHMARKING STUDYAUGUST 2020 Conducted by Vault Consulting, LLC Copyright © 2020 NACAS. All rights reserved.
  • 2. nacas.org 435 Merchant Walk Sq. Suite 300-139 Charlottesville, VA 22902 A Letter From Our CEO .......................................................................................... 3 Executive Summary Survey Methodology............................................................................................................ 4 Participant Profile................................................................................................................. 5 Key Findings...........................................................................................................................6 •Balance Sheet................................................................................................................. 7 •Food Services.................................................................................................................8 •Housing......................................................................................................................... 10 •Bookstores.....................................................................................................................11 •Parking............................................................................................................................12 Classification Data................................................................................................13 Appendix I - Participating Institutions.................................................................14 © Copyright 2020 NACAS. All rights reserved. The information contained herein shall not be distributed or shared by the recipient. No part of this document may be reproduced without the express written permission of NACAS. TABLE OF CONTENTS
  • 3. nacas.org | 3 A LETTER FROM OUR CEO Dear NACAS Community, Thank you so much to all those who participated in our first-ever Benchmarking study. This effort was long in the making. We wanted to create a free, data-driven program that show- cases the value of auxiliary services and validates the work we do every day to advance campuses and impact student success. This is the first benchmarking program that collects information across auxiliary services. Undoubtedly, this year has been a trying time for our industry and it’s proven that we can no longer afford the time or resources of siloed data analysis for your business decisions. Our benchmarking data provides the threads that tie auxiliary portfolios together, contributing to the collective good of your communities. It has been so rewarding to support and witness all facets of our organization coming together to meet this end. It took years of planning through focus groups, membership studies, surveys, strategic planning, an RFP process, and then the actual creation of our survey and metrics in partnership with our tremendous volunteers. I would be remiss not to recognize the staff, volunteer groups, and our dedicated partners at Vault Consulting who contributed to this massive undertaking. While the timing of the pandemic had an impact on our experience, I’m also so grateful we launched this program this year so we have a baseline of data that is pre-coronavirus times. We need to continue to work together to ensure that our students can be successful during this time of rapid transformation within our society. While much remains unclear about our future, we know that the current world climate demands change. The role of auxilia- ry services within the higher education landscape is more important than ever. We must work quickly and efficiently to ensure a bright future for our campuses while continuing to contribute holistically to student success and wellness. NACAS is committed to working alongside our members and business partners to provide the tools and resources necessary to move into this next stage. Let’s move forward together, Kelsey Harmon Finn NACAS CEO
  • 4. nacas.org | 4 The inaugural NACAS Benchmarking Study is an important study conducted by NACAS for its members. The survey collects key trending and financial information on auxiliary services across college campuses. The report is designed to allow college service leaders to easily compare their auxiliary services offerings with their industry peers. In February 2020, Vault Consulting, LLC (Vault) sent customized emails to approximately 744 NACAS members containing a URL to NACAS’ online survey instrument. A total of 83 responses were used for the reported figures. The resulting survey response rate was 11.2%, which is a good baseline given the global disruption of the coronavirus. We predict an increase in participation in the next survey iteration. Vault research analysts reviewed each individual institution’s survey data to ensure data quality and identify potential clerical errors or missing data. Vault identified material outliers and the specific institutions reporting such data. Vault staff then contacted participants to clarify any questionable data points. Agreed upon edits to the data were incorporated into the final data- base and report. OUTLIERS AND DATA DISCLOSURE Metrics that fell outside of 3 standard deviations from the mean were reviewed and excluded from the data set where appropriate. Throughout the interactive report dashboards, data is suppressed when there is insufficient response data. The minimum threshold for displaying response data is three participating institutions. Data shared is in aggregate and no institutional information is displayed. All identifiable insti- tutional data remains confidential. SURVEY METHODOLGY
  • 5. nacas.org | 5 The NACAS Benchmarking Study attracted participation from a wide range of members. Institutions from 28 US states and 3 Canadian provinces are represented in the data, with student populations ranging from around 1,000 to nearly 60,000.This diversity in the sample allows for a wide range of comparisons in the dataset and will enable members to compare their key performance indicators against their most relevant peer group(s) (public/private, location, size, etc.). It also establishes a strong base from which to grow with future iterations of the NACAS Benchmarking Study. LOCATION 83% of participating institutions are in the United States. Participants from the East and South region accounted for the largest share of respondents, with each accounting for just over 30%. Schools in urban settings made up approximately half of the sample. INSTITUTION TYPE & OPERATING STYLE The vast majority of respondents (82%) were public institutions, and over 85% of respondents reported that their auxiliary services were a mix of self-operated and contracted. PARTICIPANT PROFILE Central 16.9% 31.3% 30.1%21.7% West East South
  • 6. nacas.org | 6 AUXILIARY SERVICES Participants were asked to provide high-level financial information on 22 different auxiliary services at their institutions. The data is the most robust for Bookstores, Food Services, and Vending, for which 95% or more of respondents were able to provide data. Child Care was the least reported service, with less than 40% of respondents reporting. INSTITUTION SIZE All four student population groupings were well represented. Institutions with a population of 5,001 – 15,000 students accounted for the largest portion of participants at 36%. PARTICIPANT PROFILE Share of Participants Reporting < 5,000 14.5% 36.1% 26.5% 22.9% 15,001 - 30,000 5,001 - 15,000 > 30,001
  • 7. nacas.org | 7 KEY FINDINGS BALANCE SHEET The Study includes a detailed breakdown of balance sheet metrics among all auxiliary services within participants’ campus portfolios. Among labor costs as a percentage of total revenue, exempt employee wages (11.1%) and non-exempt employee wages (10.8%) were, on average, the two largest categories. Total labor costs averaged 31.8% of total revenue. The Balance Sheet Breakdown section of the interactive report allow users to analyze findings on over 20 metrics ranging from top level revenue and costs to specific labor and operating cost categories, as well as auxiliary revenue contributions to campus. In each category, users can see their institution’s data presented alongside the aggregate results of the Study. Along with the analysis of financial indicators at the portfolio level, the Study also includes detailed sections on four specific auxiliary services: Food Services, Housing, Bookstores, and Parking. The content below highlights some of the key findings from each of those sections. Future iterations of the NACAS Benchmarking Study may include examinations of other spe- cific services that are of significant interest from members. Labor Costs as a Percentage of Total Revenue Auxiliary Revenue Contributions to Campus ● Direct Payments ● In-Kind sponsorships ● Other/Undefined2.2% 26.0% 71.8% AVG. 25th % 50th % 75th % a. Total Benefits (taxes, benefits, and 401k for all employees) 6.9% 2.8% 5.4% 8.4% b. Exempt Employee Wages 11.1% 4.6% 6.2% 11.6% c. Nonexempt Employee Wages 10.8% 4.1% 8.5% 14.4% d. Student Wages 3.1% 1.1% 2.1% 4.2% e. Temporary Employee Costs 2.1% 0.2% 0.9% 2.4%
  • 8. nacas.org | 8 FOOD SERVICES On average, residence meal plans made up the largest share of total Food Services revenue (45.3%), followed by retail locations (26.8%) and catering (13.5%). As indicated by 25th, 50th, and 75th percentiles for these revenue categories, there was a large range among participants in terms of how each category contributed to their institution’s total Food Services revenue. Using the tools available on the online interactive report platform will enable users to dig into the data and explore how these revenue shares vary among different demographic lines. A similar analysis of Food Services costs demonstrates the variances between Residence Dining and Retail Locations, as well as between Food & Beverage and Labor costs. Revenue Categories as a Percent of Total Food Services Revenue Cost Breakdown - Residence vs Retail AVG. 25th % 50th % 75th % Concessions 1.0% 0.0% 0.0% 0.9% Vending 6.0% 0.0% 0.4% 1.9% Residence Meal Plans 45.3% 14.4% 51.4% 69.7% Residence non meal plan sales 3.9% 0.0% 1.2% 3.6% Retail locations 26.8% 5.5% 20.7% 37.5% Catering 13.5% 5.0% 9.2% 15.0% Other 3.6% 0.0% 0.0% 1.0% AVG. 25th % 50th % 75th % Residence Dining Costs 39.4% 24.7% 34.3% 47.5% Total Food & Beverage Cost 19.5% 10.9% 14.8% 23.5% Total Labor Cost 20.8% 12.2% 19.3% 26.8% Retail Location Costs 48.8% 15.2% 26.0% 43.9% Total Food & Beverage Cost 21.0% 8.4% 13.4% 23.4% Total Labor Cost 28.6% 7.6% 13.9% 26.1%
  • 9. nacas.org | 9 FOOD SERVICES Participants were asked whether a food insecurity program existed at their institution and, if so, what kind. Overall, 76% reported having either a meal swipe donation program, a pantry dona- tion program, or both. The Study also includes an analysis of school meal plans, Food Services contributions paid to the institution, and other key metrics such as average price per meal ($7.70). ● Meal Swipe Donation ● Pantry Donation ● Both ● None Meal Type Offered 28 32 15 25 40 30 20 10 0 Type of Food Insecurity Program Offered
  • 10. nacas.org | 10 HOUSING One of the highlights of this section is the distribution of average housing square footage by age of building. On average, buildings of 50 or more years old were the largest group, fol- lowed by buildings less than 10 years old. While these rankings were consistent among public schools in the study, housing square footage at private schools trended older on average, with buildings less than 10 years old being the second smallest group. From a regional perspective, the West region stood out as having significantly newer buildings on average than the other three regions. The Housing section of the Study also includes financial operations metrics as well as KPIs related to residency requirements, square footage, and other metrics. LESS THAN 10 YEARS 10-15 YEARS > 15-25 YEARS > 25-50 YEARS 50+ YEARS 305,149 419,566 333,452 Average Square Footage by Age of Building 528,331 800,000 600,000 400,000 200,000 0 756,021
  • 11. nacas.org | 11 BOOKSTORES Textbook sales (new, used, rental, digital) and sales margin analyses (new vs. used) are key features of the Bookstores section of the Benchmarking Study. New textbook sales were consis- tently the largest source of textbook revenue across most comparison groups, with used, rental, and digital textbook sales averaging relatively similar sales but fluctuating among different de- mographic categories. Average textbook spend per student among the entire sample was $443 but varied widely. Textbook Sales Breakdown Is your bookstore located within a student union or student center? Offer Financial Aid Textbook Program 37.3% 62.7% 32.9% 67.1% ● No ● Yes ● My Institution ● Average – 25th % – 50th % – 75th %$2,372,161 $422,213 $475,933 $483,593 $4,000,000 $3,000,000 $2,000,000 $1,000,000 0 NEW USED RENTAL TEXTBOOKS DIGITAL TEXTBOOKS
  • 12. nacas.org | 12 PARKING In addition to total revenue and total costs for Parking, the Study also collected data on permits (both quantity and price), parking spots, and citations. The average annual parking permit price was $383, although this fluctuated widely depending on demographic categories. Unsurprisingly, the average annual parking permit price was highest among schools in urban settings ($508) and lowest in rural settings ($167). Parking Indicators MEASURE INDUSTRY AVG. 25th % 50th % 75th % Total Parking Spots 9,645 6,029 7,210 13,381 Total Student Parking Permits 6,638 3,639 6,354 8,493 Total Faculty/Staff Parking Permits 2,831 1,133 1,458 3,010 Total Other Parking Permits 2,164 628 714 2,976 Avg Annual Parking Permit Price ($) 167 68.8 140 209 Total Citations Issued 20,969 14,358 19,648 26,361 Permits To Spots 1.2 1.1 1.1 1.4
  • 13. nacas.org | 13 CLASSIFICATION DATA Classifications among student population, full-time employees, institution type, and geographic location were determined based on the demographic profile of the institution reported in the survey. The reporting categories for each classification type are shown below. REGION CATEGORIES Central IA, IL, IN, KS, MI, MN, MO, ND, NE, OH, SD, WI East CT, DC, DE, MA, MD, ME, NH, NJ, NY, PA, RI, VA, VT, WV, ON, NS, NL, AB, PE, QC, NS, UK, IRE, FR South AL, AR, FL, GA, KY, LA, MS, NC, OK, SC, TN, TX, PR, US VI, West AK, AZ, CA, CO, HI, ID, MT, NM, NV, OR, UT, WA, WY, BC, SK, MB, NZ, AUS, YT, NU, NT COUNTRY CATEGORIES United States Canada LOCATION TYPE CATEGORIES Rural Suburban Urban PUBLIC/PRIVATE CATEGORIES Public Private INSTITUTION TYPE CATEGORIES 2 Year 4 Year 4 Year Plus Grad School Other OPERATING STYLE CATEGORIES Combination/Other Self-Operated Contracted NUMBER OF STUDENTS CATEGORIES < 5,000 5,001– 15,000 15,001– 30,000 > 30,001 NUMBER OF EMPLOYEES CATEGORIES < 300 301– 700 701– 1,000 >1,001
  • 14. nacas.org | 14 APPENDIX I: PARTICIPATING INSTITUTIONS Angelo State University Prince George’s Community College Antelope Valley College Rensselaer Polytechnic Institute Arizona State University Ryerson University Ashland University Saginaw Valley State University Auburn University Shenandoah University Binghamton University Shepherd University Brock University Sheridan College California Polytechnic State University-San Luis Obispo Sheridan College- Canada Camosun College Simon Fraser University Carleton University SUNY- Downstate Medical Center Case Western Reserve University SUNY College- Geneseo Central Michigan University Swarthmore College Central Washington University UNC Charlotte Clayton State University United States Naval Academy Coastal Carolina University University Corporation At Monterey Bay College of Charleston University of Alberta College of Southern Nevada University of Arizona College of Wooster University of British Columbia Colorado School of Mines University of Calgary Concordia University at Austin University of California- Riverside Emory University University of Florida Florida International University- MMC University of Georgia Furman University University of Houston- Clear Lake Georgia Southern University University of Houston- Downtown Georgia Tech University of Houston- Main Campus Indiana University- Bloomington University of Houston- Victoria Interlochen Center For The Arts University of Illinois at Chicago Lehigh University University of Illinois at Urbana-Champaign MacEwan University University of Kentucky Madison Area Technical College University of Maine- Orono Middle Georgia State University University of Massachusetts- Amherst Morgan Community College University of Michigan- Ann Arbor Morgan State University University of New Hampshire- Durham Mount Royal University University of San Diego Norfolk State University University of Southern California North Carolina A&T State University University of Southern Mississippi North Carolina State University University of Wisconsin- Oshkosh Northern Essex Community College University of Wisconsin-Green Bay Northwestern University Valdosta State University Oklahoma State University- Stillwater Vancouver Island University Ontario Tech University Wilfrid Laurier University Pepperdine University