Download - Data Analysis DGS
Deborah Vaughn, ChiefOffice of Human Resources
Department of General Services
Conducting Data Analysis(Workforce Ages – Projecting Retirements)
• Analyze workforce data twice annually (July 1st and January 1st)
• Age of Workforce (based on filled positions)
Breakdown by age groupings
Breakdown by CBID categories
• Project Retirements (based on filled positions)
Determine retirement assumption criteria
Retirement projections (conducted for 5 fiscal years)
DGS (Data Analysis Approach)
• Determine Organizational Structure – Obtain list of:
►Reporting unit names
►Agency Codes/Reporting Unit Numbers
►Locations
• Target Date: 7/1/08 (to start with FY 08/09)
Data Needs (Getting Started – Step 1)
Organizational Structure – Request format and data:
MIRS Report (in Microsoft Excel format)
Based on active organizations
Reporting Filters: by agency code/reporting unit number, unit name, and location (addresses/locations)
SAMPLE FORMAT
Data Needs (Getting Started – Step 1)
Agency
Code
Unit
Code Name Location City
306 100 EXEC/ADMIN 707 3rd STREET SACTO
• Identify Workforce Classifications – Obtain list:
►Classification Names
►Classification Codes
►CBID (collective bargaining identifier)
• Target Date: 7/1/08 (to start with FY 08/09)
Data Needs (Getting Started – Step 2)
Workforce Classifications – Request format and data:
ABMS (in Microsoft Excel format)
MIRS Report (in Microsoft Excel format)
Base on active classifications
Request Filters: classification code, name and CBID
SAMPLE FORMAT
Data Needs (Getting Started – Step 2)
Class Code Class Name CBID
5393 Assoc Govt Program Analyst R01
Retirement Criteria
►Determine retirement categories used (Miscellaneous, Industrial, etc.)
►Obtain State retiree averages from CalPERS based on:
Retirement categories used
Average Age (within category)
Average years of State service (within category)
►DGS Criteria: Categories (Miscellaneous - Tier 1 and 2)
Tier 1 – Age 60 with 22.9 years of State service
Tier 2 – Age 60 with 12.9 years of State service
Data Needs (Getting Started – Step 3)
CalPERS Retirement Information
►Retirement Averages Updated averages are issued annually in September Averages based on previous FY actual retiree data Example: DGS’s projections conducted in FY 07/08 based
on applying FY 06/07 statewide averages to it’s workforce.
►How to obtain CalPERS retirement averages Copy of FY 06/07 averages (available handout) Submit future request to Frank Gerace (CalPERS) Email request to: [email protected]
Data Needs (Getting Started – Step 3)
Analysis Steps (conducted twice annually) Breakdown by age groupings Breakdown by CBID categories Based on filled position information Percentages (based on total filled positions)
Current DGS Data (as of 1/1/08) Employee Ages 3,899 Positions Filled Display Charts (next five slides)
Data Analysis (Workforce Age)
Data Analysis Sample (Workforce Age)
DGS Age Groupings (departmental roll-up)
Age GroupTotal
Employees% of Total Filled
Positions
Younger than 24 91 2.33%
25 – 29 182 4.67%
30 – 34 237 6.08%
35 – 39 344 8.82%
40 – 44 438 11.23%
45 – 49 712 18.26%
50 – 54 823 21.11%
55 – 59 665 17.06%
60 + 407 10.44%
Total 3,899 100.00%
Data Analysis Sample (Workforce Age)
DGS Age Groupings (breakdown by CBID)
Age Group Exempt Managerial SupervisoryRank & File
Younger than 24 0 0 0 91
25 – 29 0 0 5 177
30 – 34 1 0 12 224
35 – 39 2 2 24 316
40 – 44 0 5 49 384
45 – 49 1 12 120 579
50 – 54 1 28 140 654
55 – 59 6 18 104 537
60 + 1 6 74 326
Total 12 71 528 3,288
% of Workforce 0.31% 1.82% 13.54% 84.33%
Data Analysis Sample (Workforce Age)
DGS Filled Positions (breakdown by CBID )
CBID Category
Total Positions
Filled
% of Total
Workforce
Exempt 12 0.31%
Managerial 71 1.82%
Supervisory 528 13.52%
Rank & File 3,288 84.18%
Total 3,899 100.00%
Data Analysis Sample (Workforce Age)
DGS WORKFORCE BY AGEAs of January 1, 2008
407
438
182
91
237
344
712
823
665
0
100
200
300
400
500
600
700
800
900
Younger than24
25 - 29 30 - 34 35 - 39 40 - 44 45 - 49 50 - 54 55 - 59 60 +
Employee Age
Nu
mb
er
of
Em
plo
ye
es
DGS EMPLOYEES IN AGERANGE (3,899 TOTAL)
►78% of DGS's Workforce is over 40 years old.►48% of DGS's Workforce is over 50 years old (and age elgible to retire within 5 years).
(1.39%)
(4.16%)
(6.08%)
(8.82%)
(11.23%)
(18.26%)
(21.11%)
(17.61%)
(10.44%)
(17.06%)
(4.67%)
(2.33%)
Data Analysis Sample (Workforce Age)
DGS Workforce By Age and CBIDAs of January 1, 2008
0%
5%
10%
15%
20%
25%
30%
35%
40%
45%
50%
-24 25 - 29 30 - 34 35 - 39 40 - 44 45 - 49 50 - 54 55 - 59 60+
Age Group
Perc
enta
ge
Exempt
Managerial
Supervisory
Rank & File
Total Filled Positions : 3,899-Total Filled (by CBID) : Exempt (12) - Managerial (71) - Supervisory (528) - Rank & File (3,288)
- Percentage of Workforce : Exempt (0.31%) - Managerial (1.82%) - Supervisory (13.54%) - Rank & File (84.33%)
Workforce Age Analysis – Request format and data:
MIRS Report (in Microsoft Excel format) Based on Filled Positions Reporting Filters (each filled position):
Data Needs (Workforce Age Analysis)
Agency Code/
Reporting Unit Code CBID
Employee Name Include CEAs and Exempts
Employee Age Active Status Only
Classification Title Time base and tenure
Workforce Age Analysis
MIRS Report (Microsoft Excel format) - Here is an sample of the final format of requested information
Data Needs (Workforce Age Analysis)
Agency
Code
Unit
Code Employee Classification Age CBID
306 100 DOE, JOHN AGPA 54 R01
Analysis Steps
Identify workforce retirement categories
Determine CalPERS retiree averages (age/years of State service)
Request workforce information (based on filled positions)
Apply retiree averages to workforce information
Project retirements on a 1 – 5 fiscal year basis
Data Analysis (Retirement Projections)
Current DGS Data
Analysis completed for 5 fiscal years (2007/08 – 2010/11)
Eligible to retire (based on 3,899 positions filled as of 1/1/08)
Projections: 1,077 (or 27.62%) of DGS’s workforce is eligible to retire between FYs 2007/08 through 2010/11
Display Charts (next two slides)
Data Analysis (Retirement Projections)
Data Analysis Sample (Retirement Projections)
DGS’s Five Year Projections (Departmental Roll-up)
Departmental Roll-Up
FY 2007/08
FY 2008/09
FY 2009/10
FY 2010/11
FY 2010/11 Total
Projected Retirements 558 118 134 136 131 1,077
Eligible to Retire
(Percentage) 14.31% 3.03% 3.44% 3.49% 3.36% 27.62%
Data Analysis Sample (Retirement Projections)
DGS’s Five Year Projections (breakdown by CBID)
Projected Retirements(by CBID)
FY 2007/08
FY 2008/09
FY 2009/10
FY 2010/11
FY 2010/11 Total
Exempt 1 0 2 1 1 5
Managerial 16 4 5 4 9 38
Supervisory 71 21 18 17 17 144
Rank & File 470 93 108 114 105 890
Total 558 118 133 136 132 1,077
Retirement Analysis - Apply the following assumptions to request data:
Employees (who are current and on active status)
Include CEAs and Exempts
Age Criteria (55.0 years and older)*
Months of State service (91.0 months minimally)*
Criteria for 3 and 4 based on DGS applied retiree averages. *DGS uses this criteria to project which fiscal year employees meet
the following retiree averages in a five year period. It answers ourquestion: “Which FY will an employee reach this age and havethese number of State service years?”
►Tier 1 – Age 60 with 22.9 years of State service ►Tier 2 – Age 60 with 12.9 years of State service
Data Needs (Retirement Projections)
Retirement Analysis – Request format and data:
MIRS Report (in Microsoft Excel format) Based on Filled Positions Apply assumptions detailed on previous slide Reporting Filters (each current employee):
Data Needs (Retirement Projections)
Agency Code/
Reporting Unit Code CBID
Organization (Unit) Name Months of State service
Employee Name/Age Retirement Category
(with Tier 1 or 2 designation)
Classification Title Time base and tenure
Vacancy Rates (Analysis Steps) Obtain list of established/vacant positions Determine vacancy rate (%) Vacancy Rate Formula: Calculation formula is: B divided by A (see below) Vacancy Rate = Percentage of calculation
Data Analysis (Vacancy Rates)
A = # of established positions (e.g., July 1st)
B = # of vacant positions at the same time period (i.e., July 1st)
Attrition Rates (Analysis Steps)
Calculation formula is: A – B + C = D (see below)Attrition rate = D divided by A
Data Analysis (Attrition Rates)
A = # of filled Positions at the beginning of time period (i.e., July 1st)
B = # of filled positions at end of time period (i.e., June 30th)
C = # of new hires during time period (i.e., fiscal year)
D = # of attrited positions
Attrition Rate SampleStart with 1,000 filled positions. You have fifty less at the end of the time period, but during the time period, you hired fifty new employees. So, from the original 1,000 positions, you lost 100 (and gained fifty from hiring). The attrition of the original 1,000 was 100 (or 10%).
Data Analysis (Attrition Rates)
A = # of beginning positions 1,000
B = # of ending positions 950
C = # of hires 50
D = total attrition 100
Attrition Rate = D/A 10%
►Questions or Concerns?
►DGS Contact Information: Deborah Vaughn, Chief - (916) 376-5413 Moana Tedrow, Manager - (916) 376-5484
Closing Remarks