1. Data Analysis Carlos R. Charneco Kintu Nnambi Andrew Harvey

2. Demographics 4 Civilian Labor Force –Labor Market Information –Census Data: www.census.gov 4 Participant File –Local or State Reports

4. Civilian Labor Force 4 TOTALMALEFEMALE 4 TOTALMALEFEMALE Total83,91941,29142,628100% White, Including Hispanic72,03234,87237,16085.8%84.5%87.2% Black, Including Hispanic8,8824,9093,97310.6%11.9%9.3% Native American, Incl. Hispanic18493910.2% Asian & Pacific Islander, Incl. Hispanic 5152472680.6% Remaining Races, Incl. Hispanic2,3061,1701,1362.7%2.8%2.7% Hispanic, All Races2,5041,4011,1033.0%3.4%2.6% Sum of Non-Whites & Hispanic11,8876,4195,46814.2%15.5%12.8%

5. EO Profile 4 Gender 4 Race 4 Persons with Disabilities 4 National Origin 4 Age

6. Enrollees or Applicants Applicant Characteristics PY 2007 ApplicantsPercent White Male3,07838.9 White Female2,21227.9 African American Male5176.5 African American Female3504.4 Hispanic Male971.2 Hispanic Female42.5 Native American Male26.3 Native American Female15.2 Asian or Pacific Islander Male18.2 Asian or Pacific Islander Female11.1 Males 40 and Over1,52019.2 Females 40 and Over93111.8 Total Minorities93111.8

7. Registered Applicants Program Year 2007 Occupation Applicants Available% of Total Applicant Professional1,153 14.5% Managerial 3344.2% Clerical 85710.8% Sales 2673.3% Domestics 520.6% Food Service 1,02612.9% General Services 6478.1% Ag-Fish-Forest 3324.1% Processing 1271.6% Machine Trades 5156.5% Bench Work 1491.8% Structural Work 2813.5% Construction 6718.4% Motor FRT- Trans 6578.2% Miscellaneous 2903.6% Non Titled 5717.2% Total Registered Applicants 7,921

8. GROUP Referral Rate PY 2007 White Male71.8 White Female64.4* African American Male 75.2 African American Female 86.0 Hispanic Male 73.2 Hispanic Female 69.0 Native American Male 53.8* Native American Female 80.0* Asian/Pacific Islander Male 83.3* Asian/Pacific Islander Female 54.5* Male Workers 40 and over 72.8 Female Workers 40 and over 65.2

9. The local office referred a total of 5,380 individual applicants during the program year ending 2007. The total number of referrals which include multiple referrals for individuals was 14,947. During the program year ending 2007 the greatest individual referral rate for this office was received by African American Female applicants (86.0) followed by African American Male applicants (75.2) and Hispanic Male applicants (73.2). Hispanic Female applicants reported a 69.0% referral rate, while White Female applicants received a low number of individual referral rate (64.4).

10. STATISTICAL REVIEW 4 Registrations –Applicant Characteristics –Applicant Skills –Services/Job Referrals –Entered Employment –Wages –WIA Services

11. 80% Rule 4 80% Rule 4 Measures the difference between the success of the most favored group and each other group. 4 Expresses differences as a percent (%).

12. Example of 80% Rule 4 GROUP Referral Rate PY 2007 4 White Male 71.8 - Benchmark Group (71.8 X.80) = 57.44 4 White Female 56.5* - Disproportionately low 4 African Amer. Male 60.2 – Within.80% 4 African Amer. Female 55.0* - Disproportionately low 4 Hispanic Male 58.2 - Within.80% 4 Hispanic Female 57.0* - Disproportionately low

13. PLACEMENT RATE 4 Out of 100 White applicants, 40 are hired. –.4 OR 40% 4 Out of 50 Black applicants, 15 are hired. –.3 OR 30% 4 Out of 25 Hispanic applicants, 5 are hired. –.2 OR 20%

14. APPLYING 80% RULE 4 Black acceptance rate/White acceptance rate =.3/.4 =.75 or 75% 4 Hispanic acceptance rate/White acceptance rate =.2/.4 =.5 or 50%

15. ADVANTAGES 4 The 80% Rule has one great advantage over tests of statistical significance such as standard deviation- it is much simpler. Unlike tests of statistical significance, there is only one formula and it is always used the same way.

16. There are some disadvantages. 4 First it is imprecise. The 80% Rule always allows for a 20% variance between the most favored rate and the rate of others to which this rate is compared, regardless of the number of individuals in the total pool. 4 In other words, the 80% Rule is insensitive to numbers. When there are few individuals in the total pool, a difference of 20% between groups may not be statistically significant.

17. UNEMPLOYMENT INSURANCE 4 NUMBER OF CLAIMS ALLOWED 4 TOTAL NUMBER OF CLAIMS FILED –RATE OF CLAIMSALLOWED 200 CLAIMANTS ALLOWED 1000 TOTAL NUMBER THAT APPLIED. EQUAL.20 ALLOW RATE

18. RATES 4 TOTAL NUMBER OF REFERRALS OVER TOTAL NUMBER OF APPLICANTS 4 100 REFERRRALS 4 1000 APPLICANTS –= REFERAL RATE OF.10 OR 10%

19. Standard Deviation 4 Standard Deviation: 4 The standard deviation is a measurement of how spread out your data is. 4 Measures the difference between what is observed and what is expected. 4 Expresses’ differences in units (deviations) from what is expected. 4 Sensitive to numbers.

20. Example Standard Deviation

21. JOB ORDERS 4 Average Wages 4 Skills 4 Education

22. Reports 4 State Reports - 9002 4 DART - Data Analysis Reporting Tool 4 In House Reports 4 WIA REPORTS

23. SAMPLING 4 Job Orders –Discrimination Remarks –Referral Patterns 4 Registrations –Correct Characteristics –Listed Skills

24. SUMMARY ANALYSIS 4 Applicant Groups With Disproportionate –Low Job Referral Rates –Low Entered Employment Rates –Low Wages –Unemployment Success Rate –WIA Services Success Rate

25. Contact 4 Carlos.Charneco@illinois.gov Carlos.Charneco@illinois.gov 4 Kintu Nnambi (KNnambi@ESD.WA.GOV)KNnambi@ESD.WA.GOV 4 harvey.andrews@iwd.IOWA.gov harvey.andrews@iwd.IOWA.gov