DOL Annual Report, Fiscal Year 2004
Performance and Accountability Report
Performance Goal Details
The November 15, 2004 publication date for the FY 2004 Department of Labor Annual Performance and Accountability Report is approximately six weeks earlier than the Department has ever published this report. Due to the early reporting date and the wide variety of sources from which the Department receives performance data – including states, contractors, and domestic and international grant recipients – not all of the data required to report performance results will be available before the publication date. For these reasons the Department is estimating performance results for some of its goals.
Where estimates have been used in this report, they are clearly identified as such. These estimates are based on methodologies developed by the programs and reviewed by the Department of Labor's Office of Inspector General. Most of these performance estimates use partial year data and then extrapolate for the entire fiscal year. In instances where final quarter data have not traditionally been representative of the entire fiscal year, other estimating methodologies were used.
Performance Goal
1.1A (ETA) |
||||||||||||
*Indicator target reached (Y), substantially reached (S) or not reached (N) |
PY 2000 |
PY 2001 |
PY 2002 |
PY 2003 |
||||||||
Result |
Target |
* |
Result |
Target |
* |
Result |
Target |
* |
Result |
Target |
* |
|
Percent of participants employed in the first quarter after program exit |
NA |
NA |
NA |
NA |
NA |
NA |
74% |
70% |
Y |
74% |
71% |
Y |
Percent of those employed in the first quarter after program exit still employed in the third quarter after program exit |
78% |
77% |
Y |
79% |
78% |
Y |
84% |
80% |
Y |
85% |
82% |
Y |
Average earnings change for those who are employed in the first quarter after program exit and are still employed in the third quarter after program exit |
$3684 |
$3264 |
Y |
$3555 |
$3361 |
Y |
$2900 |
$3423 |
N |
$3260 |
$3100 |
Y |
Data Source(s): Annual Workforce Investment Act Standardized Record Data in the Enterprise Information Management System and Unemployment Insurance Wage Records |
||||||||||||
Performance Goal
1.1B (ETA) |
||||||||||||
*Indicator target reached (Y), substantially reached (S) or not reached (N) |
PY 2000 |
PY 2001 |
PY 2002 |
PY 2003 |
||||||||
Result |
Target |
* |
Result |
Target |
* |
Result |
Target |
* |
Result |
Target |
* |
|
Percent of job seekers registered with the public labor exchange will enter employment with a new employer by the end of the second quarter following registration PY 2000: Employment Service applicants entering employment |
3.9 million |
3.2 million |
Y |
NA |
NA |
NA |
63% |
55% |
Y |
61% |
58% |
Y |
Percent of job seekers that continue to be employed two quarters after initial entry into employment with a new employer |
NA |
NA |
NA |
NA |
76% |
NA |
NA |
70% |
NA |
80% |
72% |
Y |
Job openings listed with the public labor exchange (with both State Workforce Agencies and America's Job Bank) |
12.3 million |
11.2 million |
Y |
11.8 million |
13.5 million |
N |
10.2 million |
11.8 million |
N |
12.5 million |
10.3 million |
Y |
New employers registered with America's Job Bank |
66,563 |
60,000 |
Y |
NA |
NA |
NA |
NA |
NA |
NA |
NA |
NA |
NA |
Number of job searches conducted by job seekers using America's Job Bank |
NA |
NA |
NA |
NA |
NA |
NA |
NA |
NA |
NA |
169 million |
base |
Y |
The number of resume searches conducted by employers from America's Job Bank will be collected to determine a baseline for setting future performance targets. |
NA |
NA |
NA |
NA |
NA |
NA |
NA |
NA |
NA |
8 million |
base |
Y |
Data Source(s): Quarterly State reports, UI wage records, and AJB Center Reports. PY 2003 indicators 1 and 2 were revised to be consistent with the new WIA program. During PY 2001, ETA underwent a transition to a new labor exchange performance measurement system. There is no statistically valid baseline data for these new measures. Targets reflect very limited test experience with a few volunteer states. |
||||||||||||
Performance
Goal 1.1C (ETA) |
||||||||||||
*Indicator target reached (Y), substantially reached (S) or not reached (N) |
FY 2002 |
FY 2003 |
FY 2004 |
|||||||||
Result |
Target |
* |
Result |
Target |
* |
Result |
Target |
* |
||||
New programs in new and emerging industries |
326 |
293 |
Y |
359 |
359 |
Y |
526 |
366 |
Y |
|||
New apprentices registered by OATELS staff only |
|
|
|
|
|
|
69,597 |
68,592 |
Y |
|||
FY 2002-2003: All registrations |
129,388 |
86,647 |
Y |
130,615 |
133,909 |
S |
|
|
|
|||
New apprenticeship programs |
2,952 |
1854 |
Y |
NA |
NA |
NA |
NA |
NA |
NA |
|||
New businesses involved in apprenticeship |
5,883 |
3248 |
Y |
NA |
NA |
NA |
NA |
NA |
NA |
|||
Data Source(s): Registered Apprenticeship Information System (RAIS) and Apprenticeship Information Management System (AIMS) |
||||||||||||
Performance Goal
1.1D (ODEP) |
|||||||||||||||
*Indicator target reached (Y), substantially reached (S) or not reached (N) |
FY 2002 |
FY 2003 |
FY 2004 |
||||||||||||
Result |
Target |
* |
Result |
Target |
* |
Result |
Target |
* |
|||||||
People with disabilities served through ODEP projects |
NA |
NA |
NA |
NA |
NA |
NA |
6397 |
2391 |
Y |
||||||
Entered employment rate at pilot sites |
NA |
NA |
NA |
NA |
NA |
NA |
19.2% |
13.3% |
Y |
||||||
3-month and 6-month retention rates for people with disabilities served by the pilots |
NA |
NA |
NA |
NA |
NA |
NA |
12.3% 6.9% |
base |
Y |
||||||
Effective practices identified through pilot project sites and other research-related initiatives |
NA |
NA |
NA |
NA |
NA |
NA |
10 |
base |
Y |
||||||
Implement 30 new Olmstead grant projects, targeted at persons with significant disabilities who are institutionalized |
NA |
NA |
NA |
16 |
30 |
N |
NA |
NA |
NA |
||||||
Implement 12 youth grant projects (6 of which are new technology skills projects) to assist youth through the One-Stop Centers and the WIA youth programs |
NA |
NA |
NA |
21 |
12 |
Y |
NA |
NA |
NA |
||||||
Implement 12 demonstration programs, through grants, designed to develop and test strategies and techniques that need to be implemented in order for One-Stop Centers and WIA youth programs to effectively serve persons with significant disabilities. |
16 WIA, 22 other |
12 |
Y |
NA |
NA |
NA |
NA |
NA |
NA |
||||||
Data Source(s): Program data from pilot locations |
|||||||||||||||
Performance
Goal 1.1E |
|||||||||||||||
*Indicator target reached (Y), substantially reached (S) or not reached (N) |
FY 2000 |
FY 2001 |
FY 2002 |
FY 2003 |
PY 2003 |
||||||||||
Result |
Target |
* |
Result |
Target |
* |
Result |
Target |
* |
Result |
Target |
* |
Result |
Target |
* |
|
Percent of veteran job seekers employed in the first or second quarter following registration |
NA |
NA |
NA |
33% |
27% |
Y |
43% |
34% |
Y |
NA |
NA |
NA |
58% |
58% |
Y |
Percent of veteran job seekers who continue to be employed two quarters after initial entry into employment with a new employer |
NA |
NA |
NA |
NA |
NA |
NA |
NA |
NA |
NA |
NA |
NA |
NA |
79% |
72% |
Y |
Percent of veterans that register with the Public Employment Service who enter employment. |
32% |
27% |
Y |
NA |
NA |
NA |
NA |
NA |
NA |
NA |
NA |
NA |
NA |
NA |
NA |
DVOP and LVER staff registrations |
32% |
30% |
|
|
|
|
|
|
|
|
|
|
|
|
|
Data Source(s): State reports and UI wage records and homeless veteran grantee reports. Quarterly State Performance Reports included in the Enterprise Information Management System (EIMS) and Unemployment Insurance Records Note: A major transition was underway during FY 2003 to a new system of measuring and reporting the outcomes of labor exchange services for veterans that is consistent with the common measures and that operates on a program year basis. |
|||||||||||||||
Performance Goal 1.1F (VETS) |
||||||||||||
*Indicator target reached (Y), substantially reached (S) or not reached (N) |
FY 2001 |
FY 2002 |
FY 2003 |
PY 2003 |
||||||||
Result |
Target |
* |
Result |
Target |
* |
Result |
Target |
* |
Result |
Target |
* |
|
Percentage of veterans enrolled in Homeless Veterans Reintegration Projects entering employment |
54% |
50% |
Y |
54.4% |
54% |
Y |
60.3% |
54.5% |
Y |
61% |
54.5% |
Y |
Establish a baseline retention rate |
NA |
NA |
NA |
N |
Y |
N |
NA |
NA |
NA |
NA |
NA |
NA |
Data Source(s): State reports and UI wage records and homeless veteran grantee reports. Quarterly State Performance Reports included in the Enterprise Information Management System (EIMS) and Unemployment Insurance Records |
||||||||||||
Performance
Goal 1.1F (ETA) |
||||||||||||
*Indicator target reached (Y), substantially reached (S) or not reached (N) |
PY 2000 |
PY 2001 |
PY 2002 |
PY 2003 |
||||||||
Result |
Target |
* |
Result |
Target |
* |
Result |
Target |
* |
Result |
Target |
* |
|
Participants employed in the first quarter after program exit |
75% |
71% |
Y |
79% |
73% |
Y |
82% |
78% |
Y |
82% |
78% |
Y |
Participants employed in the first quarter after program exit who are still employed in the third quarter after program exit |
83% |
82% |
Y |
87% |
83% |
Y |
90% |
88% |
Y |
90% |
88% |
Y |
Percent of pre-dislocation earnings for those still employed in the third quarter after program exit |
95% |
90% |
Y |
101% |
91% |
Y |
90% |
98% |
N |
91% |
93% |
N |
Data Source(s): Annual State WIA Reports in the Enterprise Information Management System (EIMS); Unemployment Insurance Wage Records |
||||||||||||
Performance
Goal 1.1G (ETA) |
|||||||||||||||
*Indicator target reached (Y), substantially reached (S) or not reached (N) **Estimated |
FY 2001 |
FY 2002 |
FY 2003 |
FY 2004 |
|||||||||||
Result |
Target |
* |
Result |
Target |
* |
Result |
Target |
* |
Result |
Target |
* |
||||
Participants employed in the first quarter after program exit |
65% |
73% |
N |
66% |
78% |
N |
62% |
78% |
N |
63%** |
70% |
N |
|||
Participants employed in the first quarter after program exit still employed in the third quarter after exit |
90% |
80% |
Y |
89% |
88% |
Y |
86% |
90% |
N |
89%** |
88% |
Y |
|||
Percent of pre-separation earnings for those still employed in the third quarter after program exit |
85% |
82% |
Y |
80% |
90% |
N |
73% |
90% |
N |
72%** |
90% |
N |
|||
Data Source(s): TAPR (Trade Act Participant Report) included in the Enterprise Information Management System (EIMS) |
|||||||||||||||
Performance
Goal 1.2A (ETA) |
|||||||||||||||
*Indicator target reached (Y), substantially reached (S) or not reached (N) |
PY 2000 |
PY 2001 |
PY 2002 |
PY 2003 |
|||||||||||
Result |
Target |
* |
Result |
Target |
* |
Result |
Target |
* |
Result |
Target |
* |
||||
Percent of the 14-18 year-old youth who enter the program without a diploma or equivalent that attain a secondary school diploma or equivalent by the first quarter after exit |
|
|
|
|
|
|
55% |
51% |
Y |
63% |
52% |
Y |
|||
PY 2000-2001: Percent of the 14–18 year-old youth either employed, in advanced training, post-secondary education, military service or apprenticeships in the third quarter after program exit |
47% |
50% |
N |
50% |
50% |
Y |
|
|
|
|
|
|
|||
Percent of 19–21 year-old youth employed in the first quarter after exit |
NA |
NA |
NA |
NA |
NA |
NA |
67% |
63% |
Y |
71% |
65% |
Y |
|||
Percent of 19–21 year-old youth employed in the first quarter after exit still employed in the third quarter after program exit |
74% |
70% |
Y |
75% |
75% |
Y |
80% |
77% |
Y |
81% |
78% |
Y |
|||
Data Source(s): Annual State WIA Performance Reports in the Enterprise Information System (EIMS) and Unemployment Insurance wage records |
|||||||||||||||
Performance
Goal 1.2B (ETA) |
|||||||||||||||
*Indicator target reached (Y), substantially reached (S) or not reached (N) |
PY 1999 |
PY 2000 |
PY 2001 |
PY 2002 |
PY 2003 |
||||||||||
Result |
Target |
* |
Result |
Target |
* |
Result |
Target |
* |
Result |
Target |
* |
Result |
Target |
* |
|
The number of students who attain high school diplomas while enrolled in Job Corps |
NA |
NA |
NA |
NA |
NA |
NA |
NA |
NA |
NA |
6381 |
3912 |
Y |
8003 |
7658 |
Y |
Percent of graduates who continue to be employed or enrolled in education six months after initial placement date |
NA |
NA |
NA |
67% |
70% |
N |
64% |
70% |
N |
63% |
65% |
N |
63% |
65% |
N |
Average hourly wages of graduates with jobs at six months after initial placement |
$7.49 |
$6.50 |
Y |
$7.97 |
$7.50 |
Y |
$7.96 |
$7.25 |
Y |
$8.03 |
$8.20 |
S |
$8.95 |
$8.20 |
Y |
Percent of graduates who enter employment or enroll in education |
88% |
75% |
Y |
91% |
85% |
Y |
90% |
85% |
Y |
87% |
90% |
N |
NA |
NA |
NA |
Data Source(s): Job Corps Management Information System |
|||||||||||||||
Performance
Goal 1.2C (ETA) |
|||||||||
*Indicator target reached (Y), substantially reached (S) or not reached (N) |
PY 2001 |
PY 2002 |
PY 2003 |
||||||
Result |
Target |
* |
Result |
Target |
* |
Result |
Target |
* |
|
Percent of 14-18 year-old youth who enter the program without a diploma or equivalent that attain a secondary school diploma or equivalent by the first quarter after exit |
NA |
NA |
NA |
46% |
51% |
N |
51% |
52% |
N |
Percent of 19–21 year-old youth employed in the first quarter after exit |
NA |
NA |
NA |
50% |
63% |
N |
60% |
65% |
N |
Percent of 19–21 year-old youth employed in the first quarter after exit still employed in the third quarter after program exit |
NA |
60% |
NA |
78% |
77% |
Y |
73% |
78% |
N |
Data Source(s): Quarterly Youth Opportunity Grant program grantee reports and Unemployment Insurance wage records |
|||||||||
Performance
Goal 1.3A (BLS) |
|||
*Indicator target reached (Y), substantially reached (S) or not reached (N) |
|||
FY 2004 |
|||
Result |
Target |
* |
|
Improve relevancy |
8 |
8 |
Y |
Improve accuracy |
59.2% |
59.2% |
Y |
Improve coverage by increasing the percent
of in-scope industries in the labor productivity measures |
58.0% |
58.0% |
Y |
Improve the response to the Employment Cost Index |
78% |
78% |
Y |
Enhance information technology |
17% |
33% |
N |
Raise customer satisfaction with BLS products and services (e.g., the American Customer Satisfaction Index) |
82% |
75% |
Y |
Deliver economic data on time (Percent of scheduled releases issued on time) |
96% |
100% |
S |
Percent of accuracy measures met (e.g., revision, response rates, etc.) |
83% |
100% |
S |
Data Source(s): Office of Publications and Special Studies report of release dates against OMB release schedule for BLS Principal Federal Economic Indicators; News releases for each Principal Federal Economic Indicator; BLS budget submissions and Quarterly Review and Analysis System; ACSI Quarterly E-Government scores. Notes: Target for indicator 1 is cumulative over a 5-year period. For example, four data series were converted to NAICS in FY 2004; the other four were converted in FY 2002 and FY 2003. The target for indicator 3 – developed under the SIC system – was initially 61.4%; its NAICS equivalent is 58.0%. |
|||
Performance Goal
2.1A (ESA) |
|||||||||
*Indicator target reached (Y), substantially reached (S) or not reached (N) |
FY 2002 |
FY 2003 |
FY 2004 |
||||||
Result |
Target |
* |
Result |
Target |
* |
Result |
Target |
* |
|
Ensuring continued customer service by minimizing the average number of days to conclude a complaint |
NA |
NA |
NA |
108 days |
126 days |
Y |
92 days |
108 days |
Y |
Reducing employer recidivism |
NA |
NA |
NA |
NA |
NA |
NA |
71% |
74% |
N |
Percent of reinvestigations without any violations |
34% |
Base |
Y |
37% |
36% |
Y |
|
NA |
|
Percent of reinvestigations with identical violations |
19% |
base |
Y |
17% |
17% |
Y |
|
NA |
|
Increasing compliance in industries with chronic violations as indicated in the garment manufacturing industry by:
|
NA
|
NA
|
NA
|
33%
|
base
|
Y
|
39%
|
34%
|
Y |
Increasing compliance in industries with chronic violations as indicated in the garment manufacturing industry by:
|
53% |
43% |
Y |
715 |
714 |
Y |
729 |
729 |
Y |
Increasing compliance in industries with chronic violations as indicated in the garment manufacturing industry by:
|
NA |
NA |
NA |
91% |
base |
Y |
|
NA |
|
Increasing compliance in industries with chronic violations as indicated in the garment manufacturing industry by:
|
NA |
NA |
NA |
73 |
72 |
Y |
|
NA |
|
Increasing compliance in industries with chronic violations as indicated in the garment manufacturing industry by:
|
NA |
NA |
NA |
158 |
153 |
Y |
|
NA |
|
Increasing compliance in industries with chronic violations as indicated in the garment manufacturing industry by:
|
42% |
53% |
N |
NA |
NA |
NA |
|
NA |
|
Increasing compliance in industries with chronic violations as indicated in the garment manufacturing industry by:
|
6.4 |
5.6 |
Y |
NA |
NA |
NA |
|
NA |
|
Increasing compliance in industries with chronic violations as indicated in the garment manufacturing industry by:
|
92% |
65% |
Y |
NA |
NA |
|
|
NA |
|
Increasing compliance in industries with chronic violations as indicated in the garment manufacturing industry by:
|
43% |
55% |
N |
NA |
NA |
|
|
NA |
|
as indicated in the long-term health care industry by:
|
NA |
NA |
NA |
NA |
NA |
NA |
55% |
45% |
Y
|
as indicated in the long-term health care industry by:
|
NA |
NA |
NA |
NA |
NA |
NA |
90% |
91% |
N |
as indicated in the long-term health care industry by:
|
NA |
NA |
NA |
48% |
42% |
Y |
|
NA |
|
as indicated in the long-term health care industry by:
|
NA |
NA |
NA |
77% |
85% |
N |
|
NA |
|
as indicated in the long-term health care industry by:
|
16,426
|
6000
|
Y |
NA |
NA |
NA |
|
NA |
|
as indicated in the long-term health care industry by:
|
7,681 |
2559 |
Y |
NA |
NA |
NA |
|
NA |
|
as indicated in the long-term health care industry by:
|
77% |
base |
Y |
NA |
NA |
NA |
|
|
|
as indicated in agricultural commodities by:
|
NA |
NA |
NA |
NA |
NA |
NA |
911,004 |
4743 |
Y |
as indicated in agricultural commodities by:
|
NA |
NA |
NA |
256 |
170 |
Y |
335 |
259 |
|
as indicated in agricultural commodities by:
|
NA
|
NA |
NA |
133 |
98 |
Y |
|
NA |
|
as indicated in agricultural commodities by:
|
61% |
Base |
Y |
NA |
NA |
NA |
|
NA |
|
as indicated in agricultural commodities by:
|
91% |
Base |
Y |
NA |
NA |
NA |
|
NA |
|
as indicated in agricultural commodities by:
|
74% |
Base |
Y |
NA |
NA |
NA |
|
NA |
|
as indicated in agricultural commodities by:
|
88% |
Base |
Y |
NA |
NA |
NA |
|
NA |
|
as indicated in agricultural commodities by:
|
90% |
Base |
Y |
NA |
NA |
NA |
|
NA |
|
as indicated in agricultural commodities by:
|
85% |
Base |
Y |
NA |
NA |
NA |
|
NA |
|
as indicated in agricultural commodities by:
|
98% |
Base |
Y |
NA |
NA |
NA |
|
NA |
|
Ensuring timely and accurate prevailing wage determinations by:
|
NA |
NA |
NA |
NA |
NA |
NA |
1491 |
Base |
Y |
Ensuring timely and accurate prevailing wage determinations by:
|
NA |
NA |
NA |
NA |
NA |
NA |
87% |
80% |
Y |
Data Source(s): Wage and Hour Investigator Support and Reporting Database (WHISARD) data; WH significant activity reports; regional logs and reports on local initiatives; and statistically valid investigation-based compliance surveys in defined industries |
|||||||||
Performance Goal
2.1B (ESA) |
|||||||||||||||
*Indicator target reached (Y), substantially reached (S) or not reached (N) |
FY 2002 |
FY 2003 |
FY 2004 |
||||||||||||
Result |
Target |
* |
Result |
Target |
* |
Result |
Target |
* |
|||||||
Percent of unions with fraud FY 2002-2003: Percent of investigative resources applied to criminal investigation that result in convictions |
50% |
base |
Y |
63% |
53% |
Y |
9% |
base |
Y |
||||||
Percent of union reports meeting standards of acceptability for public disclosure |
44% |
base |
Y |
73% |
base |
Y |
92% |
75% |
Y |
||||||
FY 2002-2003: The timely filing of union annual financial reports by unions with annual receipts over $200,000 |
|
|
|
64% |
85% |
N |
|
|
|
||||||
Data Source(s): 1. Labor Organization Reporting System and 2. OLMS Case Data System. |
|||||||||||||||
Performance Goal
2.2A (ETA) |
|||||||||||||||
*Indicator target reached (Y), substantially reached (S) or not reached (N) |
FY 2000 |
FY 2001 |
FY 2002 |
FY 2003 |
FY 2004 |
||||||||||
Result |
Target |
* |
Result |
Target |
* |
Result |
Target |
* |
Result |
Target |
* |
Result |
Target |
* |
|
Pay Benefits Promptly: percent of all intrastate first payments made within 14/21 days intrastate payment timeliness |
|
|
|
|
|
|
88.7% |
91% |
N |
89% |
91% |
N |
88.7% |
89.2% |
N |
FY 2000-2001: Number of states meeting or exceeding the Secretary's Standard for intrastate payment timeliness |
47 |
47 |
Y |
42 |
48 |
N |
|
|
|
|
|
|
|
|
|
Detect Overpayments: Percent of estimated overpayments that States detect established for recovery |
NA |
NA |
NA |
NA |
NA |
NA |
|
|
|
54% |
59% |
N |
61% |
59% |
Y |
FY 2002: Establish a measure and baseline for payment accuracy |
|
|
|
|
|
|
Y |
Y |
Y |
|
|
|
|
|
|
Facilitate Reemployment: Entered employment rate for UI claimants |
NA |
NA |
NA |
NA |
NA |
NA |
|
|
|
|
|
|
51.5% |
base |
Y |
FY 2003: Develop a measure and a method to obtain entered employment information on UI claimants |
|
|
|
|
|
|
|
|
|
Y |
Y |
Y |
|
|
|
FY 2002: Define a measure of entered employment of Unemployment Insurance claimants and establish a baseline |
|
|
|
|
|
|
N |
Y |
N |
|
|
|
|
|
|
Establish Tax Accounts Promptly: Percent of determinations about the Unemployment Insurance tax liability of new employers made within 90 days of the end of the first quarter they become liable for the tax. |
|
|
|
|
|
|
81.7% |
80% |
Y |
83% |
80% |
Y |
83% |
82.2% |
Y |
FY 2000-2001: Number of states meeting or exceeding the minimum performance criterion for benefit adjudication quality |
23 |
24 |
N |
25 |
26 |
N |
|
|
|
|
|
|
|
|
|
Data Source(s): ETA 9056, 9050 and 9050p Reports; Benefits Accuracy Measurement (BAM) data, and ETA 227 Report; ETA 5159 Report and UI Wage Records; ETA 581 Report. |
|||||||||||||||
Performance Goal
2.2B (EBSA) |
|||||||||||||||
*Indicator target reached (Y), substantially reached (S) or not reached (N) |
FY 2003 |
FY 2004 |
|||||||||||||
Result |
Target |
* |
Result |
Target |
* |
||||||||||
Enforcement: Ratio of closed civil cases with corrected violations to civil closed cases. |
69% |
50% |
Y |
69% |
50% |
Y |
|||||||||
Ratio of criminal cases referred for prosecution to total criminal cases |
40% |
25% |
Y |
45% |
25% |
Y |
|||||||||
Participant Assistance: Customer Satisfaction Index, or comparable measurement, for Participants and Beneficiaries who have contacted EBSA for assistance. |
59 |
59 |
Y |
62 |
61 |
Y |
|||||||||
Data Source(s): Enforcement Management System and The Gallup Organization |
|||||||||||||||
Performance Goal
2.2C (ESA) |
|||||||||||||||
*Indicator target reached (Y), substantially reached (S) or not reached (N) |
FY 2000 |
FY 2001 |
FY 2002 |
FY 2003 |
FY 2004 |
||||||||||
Result |
Target |
* |
Result |
Target |
* |
Result |
Target |
* |
Result |
Target |
* |
Result |
Target |
* |
|
Lost production days (LPD) per 100 employees for FECA cases of the United States Postal Service (see note below) |
|
|
|
|
|
|
131 days |
115 days |
N |
143 days |
130 days |
N |
148 days |
146 days |
N |
FY 2001: combined with all other governmental agencies |
|
|
|
76.9 days |
66.7 days |
N |
|
|
|
|
|
|
|
|
|
FY 2000: QCM cases only |
164 days |
173 days |
Y |
|
|
|
|
|
|
|
|
|
|
|
|
LPD rate for FECA cases of All Other Governmental Agencies (see note below) |
NA |
NA |
NA |
NA |
NA |
NA |
54 days |
55 days |
Y |
55 days |
54.7 days |
N |
62.9 days |
55.4 days |
N |
FECA Vocational Rehabilitation placements with new employers for injured USPS employees |
NA |
NA |
NA |
NA |
NA |
NA |
NA |
NA |
NA |
56 place-ments |
52 place-ments |
Y |
59 place-ments |
56 place-ments |
Y |
First-year savings in the FECA program through use of Periodic Roll Management |
$72 million |
$66 million |
Y |
$103million |
$95 million |
Y |
$129 million |
$122million |
Y |
$24.6 million |
$20 million |
Y |
$49 million |
$38 million |
Y |
Trend in indexed cost per case of FECA cases receiving medical treatment remains below the Milliman Health Cost Index |
|
stable |
10% rise |
Y |
2.4% rise |
8.8% rise |
Y |
||||||||
FY 2002: Reduce Inflation-adjusted costs per case in the FECA program |
|
|
|
|
|
|
$2604 |
$2219 |
N |
|
|
|
|
|
|
FY 2001: Reduction in average annual cost for physical therapy and psychiatric services |
|
|
|
PT +4.5% |
-1% |
N |
|
|
|
|
|
|
|
|
|
FY 2000: Save $5 million over FY 1999 for inpatient hospital and pharmacy services |
$34.5 million |
$21.5 million |
Y |
PS -3% |
|
|
|
|
|
|
|
|
|
|
|
Targets met for key performance areas |
NA |
NA |
NA |
NA |
NA |
NA |
NA |
NA |
NA |
5 |
base |
Y |
4 |
3 |
Y |
Average time required to resolve disputed issues in Longshore and Harbor Worker's Compensation Program contested cases |
NA |
NA |
NA |
NA |
NA |
NA |
285 days |
242 days |
N |
266 |
279 |
Y |
247 |
274 |
Y |
Percent of Black Lung benefit claims filed under the revised regulations for which, following an eligibility decision, there are no requests for further action from any party pending one year after receipt of the claim. |
NA |
NA |
NA |
NA |
NA |
NA |
89.9% |
68.5% |
Y |
86.6% |
70.5% |
Y |
82.2% |
74.5% |
Y |
Percent of Initial Claims for benefits in the Energy Program processed within standard timeframes: |
NA |
NA |
NA |
NA |
NA |
NA |
|
|
N |
79% |
75% |
Y |
92% |
77% |
Y |
120 days for Department of Energy (DOE) employees or contractors employed at DOE facilities |
48% |
75% |
|||||||||||||
180 days for employees of Atomic Weapons Employers (AME) and Beryllium Vendors |
NA |
NA |
NA |
NA |
NA |
NA |
48% |
75% |
N |
79% |
75% |
Y |
92% |
77% |
Y |
Percent of Final Decisions in the Energy Program processed within standard timeframes |
|
|
S |
76.9% |
75% |
Y |
99% |
77% |
Y |
||||||
Approved Claims or No-Contest Denials: within 75 days of the Recommended Decision. |
76% |
75% |
|
|
|
|
|
|
|
||||||
Reviews of the Written Record: within 75 days of request |
74% |
75% |
|
|
|
|
|
|
|
||||||
Formal Hearings: within 250 days of request |
100% |
75% |
|
|
|
|
|
|
|
||||||
Data Source(s): 1&2. Federal Employees' Compensation Act (FECA) data systems, Federal agency payroll offices and Office of Personnel Management employment statistics; 3. Nurse/Rehabilitation Tracking System 4. Periodic Roll Management System and FECA Automated Compensation Payment System; 5. FECA Medical Bill Pay System and Milliman USA Health Cost Index Report; 6. Telecommunications system standard reports, FECA district office and national MIS reports, customer surveys, focus group records and other customer service performance data sources; 7. Longshore Case Management System; 8. Black Lung Automated Support Package; 9&10. Energy Program Case Management System Note: In FY 2004, OWCP changed the way it measures LPD. The FY 2003 result data for USPS and also for all other government agencies' LPD's reflect the results prior to the measurement changes. LPD's are now measured in real-time rather than with accumulated data, as they were in the past. |
|||||||||||||||
Performance Goal
2.2D (PBGC) |
|||||||||||||||
*Indicator target reached (Y), substantially reached (S) or not reached (N) |
FY 2004 |
||||||||||||||
Result |
Target |
* |
|||||||||||||
American Customer Satisfaction Index (ACSI) score for sponsors of covered pension plans who have contacted PBGC for assistance |
69 |
71 |
N |
||||||||||||
ACSI score for participants in trusteed plans who have contacted PBGC for assistance. |
78 |
77 |
Y |
||||||||||||
Data Source(s): American Customer Satisfaction Index (ACSI) report |
|||||||||||||||
Performance Goal
3.1A (MSHA) |
|||||||||||||||
*Indicator target reached (Y), substantially reached (S) or not reached (N) **Estimated |
FY 2000 |
FY 2001 |
FY 2002 |
FY 2003 |
FY 2004 |
||||||||||
Result |
Target |
* |
Result |
Target |
* |
Result |
Target |
* |
Result |
Target |
* |
Result |
Target |
* |
|
Fatal incidence rate (number of mining fatalities per 200,000 hours worked) |
|
|
|
|
|
|
|
|
|
.023 |
.020 |
N |
.016** |
.022 |
Y |
FY 2000-2002: Mine fatalities |
88 |
89 |
Y |
71 |
89 |
Y |
71 |
64 |
Y |
|
|
|
|
|
|
All-injury incidence rate (all injuries, including fatalities, per 200,000 hours worked) |
|
|
|
|
|
|
|
|
|
4.26 |
3.79 |
N |
3.97** |
3.85 |
N |
FY 2000-2002: Non-fatal injury incidence rate |
3.46 |
3.83 |
Y |
3.29 |
3.65 |
Y |
3.15 |
2.87 |
N |
|
|
|
|
|
|
Data Source(s): Mine Accident, Injury, and Employment information. Mine operators and contractors report to MSHA under Title 30 Code of Federal Regulations Part 50 |
|||||||||||||||
Performance Goal
3.1B (MSHA) |
|||||||||||||||
*Indicator target reached (Y), substantially reached (S) or not reached (N) |
FY 2000 |
FY 2001 |
FY 2002 |
FY 2003 |
FY 2004 |
||||||||||
Result |
Target |
* |
Result |
Target |
* |
Result |
Target |
* |
Result |
Target |
* |
Result |
Target |
* |
|
Percent of respirable coal dust samples exceeding the applicable standards by 5% for designated occupations |
|
|
|
|
|
|
15.0% |
14.2% |
N |
11.7% |
14.2% |
Y |
10.5% |
11.1% |
Y |
FY 2000-2001: Percent of coal dust samples that are out of compliance for high risk mining occupations |
11.2% |
11.7% |
Y |
10.2% |
11.1% |
Y |
|
|
|
|
|
|
|
|
|
Percent of silica dust samples in metal and nonmetal mines exceeding the applicable standards by 5% for high risk occupations |
|
|
|
|
|
|
6.6% |
8.8% |
Y |
6.5% |
8.6% |
Y |
5.9% |
6.2% |
Y |
FY 2000-2001: Index percentage of silica dust samples that are out of compliance for high risk mining occupations |
65% |
85% |
Y |
64% |
80% |
Y |
|
|
|
|
|
|
|
|
|
Percentage of noise exposures above the citation level in all mines by 5%. |
NA |
NA |
NA |
NA |
NA |
NA |
5.8% |
8.6% |
Y |
4.8% |
9.3% |
Y |
4.2% |
4.6% |
Y |
Data Source(s): Mine Accident, Injury, and Employment information. Mine operators and contractors report to MSHA under Title 30 Code of Federal Regulations Part 50 |
|||||||||||||||
Performance Goal
3.1C (OSHA) |
|||||||||||||||
*Indicator target reached (Y), substantially reached (S) or not reached (N) **Estimated |
FY 2003 |
FY 2004 |
|||||||||||||
Result |
Target |
* |
Result |
Target |
* |
||||||||||
Fatalities per 100,000 workers |
1.62 |
1.59 |
N |
1.67** |
1.57 |
N |
|||||||||
Data Source(s): OSHA Integrated Management Information System (IMIS) and Bureau of Labor Statistics (BLS) Current Employment Statistics (CES). |
|||||||||||||||
Performance Goal
3.1D (OSHA) |
|||||||||||||||
*Indicator target reached (Y), substantially reached (S) or not reached (N) **Estimated |
FY 2000 |
FY 2001 |
FY 2002 |
FY 2003 |
FY 2004 |
||||||||||
Result |
Target |
* |
Result |
Target |
* |
Result |
Target |
* |
Result |
Target |
* |
Result |
Target |
* |
|
Days away from work case rate per 100 workers Injury and illness incidence rates in industries characterized by high-hazard workplaces Lost workdays (FY 2000-2001) |
|
|
|
|
|
|
|
|
|
1.7** |
1.8 |
Y |
1.6** |
1.7 |
Y |
Days away from work (FY 2002)
|
9.9 |
12.5 |
Y |
7.5 |
11.9 |
Y |
8.1 |
6.8 |
N |
|
|
|
|
|
|
Days away from work (FY 2002)
|
7.3 |
8.3 |
Y |
6.3 |
7.9 |
Y |
NA |
NA |
NA |
|
|
|
|
|
|
Days away from work (FY 2002)
|
NA |
NA |
NA |
NA |
NA |
NA |
7.9 |
7.7 |
N |
|
|
|
|
|
|
Days away from work (FY 2002)
|
7.9 |
18.1 |
Y |
7.3 |
7.7 |
Y |
7.6 |
6.6 |
N |
|
|
|
|
|
|
Days away from work (FY 2002)
|
4.6 |
6.7 |
Y |
3.5 |
6.4 |
Y |
NA |
NA |
NA |
|
|
|
|
|
|
Days away from work (FY 2002)
|
4.0 |
4.8 |
Y |
3.9 |
14.6 |
Y |
3.8 |
3.6 |
N |
|
|
|
|
|
|
Data Source(s): Bureau of Labor Statistics (BLS) Annual Survey of Occupational Injuries and Illnesses (ASOII). FY 2003 estimated results use CY 2001 data; FY 2004 estimated results use CY 2002 data. |
|||||||||||||||
Performance Goal
3.2A (ESA) |
||||||||||||
*Indicator target reached (Y), substantially reached (S) or not reached (N) |
FY 2001 |
FY 2002 |
FY 2003 |
FY 2004 |
||||||||
Result |
Target |
* |
Result |
Target |
* |
Result |
Target |
* |
Result |
Target |
* |
|
Incidence of discrimination among Federal contractors |
|
|
|
|
|
|
1.2% |
9% |
Y |
1% |
9% |
Y |
FY 2001-2002: For contractors that participate in specified DOL/OFCCP compliance assistance activities and are subsequently evaluated -
|
50.9% |
Base |
Y |
58.4% |
51.9% |
Y |
|
|
|
|
|
|
FY 2001-2002: For contractors that participate in specified DOL/OFCCP compliance assistance activities and are subsequently evaluated -
|
49.6% |
Base |
Y |
64.5% |
48.6% |
Y |
|
|
|
|
|
|
FY 2001-2002: For contractors that participate in specified DOL/OFCCP compliance assistance activities and are subsequently evaluated -
|
7.7% |
Base |
Y |
2.2% |
6.7% |
Y |
|
|
|
|
|
|
FY 2001-2002: For contractors that participate in specified DOL/OFCCP compliance assistance activities and are subsequently evaluated -
|
9.0% |
Base |
Y |
1.6% |
8.0% |
Y |
|
|
|
|
|
|
FY 2001-2002: For contractors that participate in specified DOL/OFCCP compliance assistance activities and are subsequently evaluated -
|
36.5% |
Base |
Y |
52.8% |
37.5% |
Y |
|
|
|
|
|
|
FY 2001-2002: For contractors that participate in specified DOL/OFCCP compliance assistance activities and are subsequently evaluated -
|
27.8% |
Base |
Y |
50.8% |
28.8% |
Y |
|
|
|
|
|
|
Compliance among Federal contractors in all other respects of equal opportunity workplace standards |
|
|
|
|
|
|
72.4% |
59% |
Y |
91% |
61% |
Y |
FY 2001-2002: For contractors and subcontractors that are selected for evaluation, outreach, or compliance assistance activities –
|
52.9% |
Base |
Y |
62.9% |
53.9% |
Y |
|
|
|
|
|
|
FY 2001-2002: For contractors and subcontractors that are selected for evaluation, outreach, or compliance assistance activities –
|
9.8% |
Base |
N |
2.7% |
8.8% |
Y |
|
|
|
|
|
|
FY 2001-2002: For contractors and subcontractors that are selected for evaluation, outreach, or compliance assistance activities –
|
34.1% |
Base |
N |
49.8% |
35.1% |
Y |
|
|
|
|
|
|
Data Source(s): EEO-1 data file; Case Management System (CMS) Completions Data; Federal contractors' data; and compliance evaluation results of scheduled contractors |
||||||||||||
Performance Goal 3.2B (OASAM) |
|||||||||||||||
*Indicator target reached (Y), substantially reached (S) or not reached (N) |
FY 2003 |
FY 2004 |
|||||||||||||
Result |
Target |
* |
Result |
Target |
* |
||||||||||
Desk reviews conducted of a representative sample of States using the WIA Section 188 Disability Checklist. FY 2003: Technical assistance reviews conducted of a representative sample of One-Stop Centers in the One-Stop systems of the cities of New York City and Miami |
Y |
Y |
Y |
Y |
Y |
Y |
|||||||||
Initiate technical assistance reviews of the One-Stop Career systems in Los Angeles, CA and Houston, TX. |
NA |
NA |
NA |
Y |
Y |
Y |
|||||||||
Determine the nature and number of discrimination complaints filed nationwide under Title I of the WIA, Wagner-Peyser Act funded programs, the Unemployment Insurance program, and against DOL-operated Job Corps Centers based on a longitudinal study |
Y |
Y |
Y |
Y |
Y |
Y |
|||||||||
Specialized Alternative Dispute Resolution (ADR) training for the State of New York's mediators and Equal Opportunity representatives conducted in FY 2003. |
Y |
Y |
Y |
NA |
NA |
NA |
|||||||||
Data Source(s): CRC Complaint management information system, WIA Section 188 Disability Checklist responses and complaint log database of State/local reported discrimination complaints files |
|||||||||||||||
Performance Goal
3.2C (VETS) |
|||||||||||||||
*Indicator target reached (Y), substantially reached (S) or not reached (N) |
FY 2004 |
||||||||||||||
Result |
Target |
* |
|||||||||||||
Indicators will be established to target reductions in USERRA compliance problems that are most severe and pervasive based on survey of veterans and service members covered by USERRA. |
4 |
base |
Y |
||||||||||||
Data Source(s): VETS' data reports |
|||||||||||||||
Performance Goal
3.3A (ILAB) |
|||||||||||||||
*Indicator target reached (Y), substantially reached (S) or not reached (N) |
FY 2000 |
FY 2001 |
FY 2002 |
FY 2003 |
FY 2004 |
||||||||||
Result |
Target |
* |
Result |
Target |
* |
Result |
Target |
* |
Result |
Target |
* |
Result |
Target |
* |
|
Children prevented or withdrawn from exploitive child labor and provided education or training opportunities by DOL-IPEC programs funded in prior fiscal years |
NA |
NA |
NA |
25,800 |
50,000 |
N |
51,922 |
50,000 |
Y |
79,769 |
60,000 |
Y |
90,200 |
70,000 |
Y |
Countries with increased capacities to address child labor as a result of DOL-IPEC programs funded in prior fiscal years FY 2000-2003: Action plans, policies or programs established that combat child labor and/or promote access to education for child laborers or children at-risk |
2 |
1 |
Y |
13 |
15 |
N |
15 |
10 |
Y |
19 |
15 |
Y |
26 |
15 |
Y |
Child Labor Education projects that establish targets for education retention and completion rates in project areas |
NA |
NA |
NA |
NA |
NA |
NA |
NA |
NA |
NA |
8 |
6 |
Y |
16 |
8 |
Y |
Child Labor Education Initiative projects that establish baseline for rate of enrollment and drop out for targeted children FY 2002-2003: Countries in which new Child Labor Education Initiative projects begin |
NA |
NA |
NA |
NA |
NA |
NA |
9 |
8 |
Y |
10 |
9 |
Y |
8 |
7 |
Y |
Children targeted for prevention or removal from child labor, particularly its worst forms, through the provision of education or training opportunities in new DOL-funded programs |
109,000 |
50,000 |
Y |
200,000 |
100,000 |
Y |
103,772 |
90,000 |
Y |
83,682 |
40,000 |
Y |
NA |
NA |
NA |
Countries that ratify International Labor Organization (ILO) Convention 182 on Worst Forms of Child Labor. |
36 |
1 |
Y |
63 |
25 |
Y |
29 |
15 |
Y |
NA |
NA |
NA |
NA |
NA |
NA |
Increase awareness through dissemination of reports, other publications and website |
Y |
Y |
Y |
NA |
NA |
NA |
NA |
NA |
NA |
NA |
NA |
NA |
NA |
NA |
NA |
Data Source(s): DOL/ILAB, ILO-IPEC and Child Labor Education Initiative Grantees |
|||||||||||||||
Performance Goal
3.3B (ILAB) |
|||||||||||||||
*Indicator target reached (Y), substantially reached (S) or not reached (N) |
FY 2000 |
FY 2001 |
FY 2002 |
FY 2003 |
FY 2004 |
||||||||||
Result |
Target |
* |
Result |
Target |
* |
Result |
Target |
* |
Result |
Target |
* |
Result |
Target |
* |
|
Number and percent of relevant government officials and members and officials of workers' and employers' organizations who are influential in determining living standards and working conditions and participating in USDOL project activities, who consider the project to have improved their conditions of work |
NA |
NA |
NA |
NA |
NA |
NA |
NA |
NA |
NA |
63.3% |
base |
Y |
base |
||
Number and percent of individuals whose economic situation has benefited from USDOL project assistance |
NA |
NA |
NA |
NA |
NA |
NA |
NA |
NA |
NA |
39% |
base |
Y |
base |
||
Number and percent of workplaces exposed to USDOL project assistance that have implemented new measures to prevent workplace accidents and illnesses |
NA |
NA |
NA |
NA |
NA |
NA |
NA |
NA |
NA |
10% |
base |
Y |
base |
||
Number of workers participating in pension funds that are government regulated by project partner agencies |
NA |
NA |
NA |
NA |
NA |
NA |
NA |
NA |
NA |
3.545 million |
base |
Y |
base |
||
Number of new countries where HIV/AIDS workplace education projects begin |
NA |
NA |
NA |
NA |
NA |
NA |
NA |
NA |
NA |
NA |
NA |
NA |
8 |
3 |
Y |
Countries committed to undertake improvements in assuring compliance and implementation of core labor standards |
12 |
8 |
Y |
15 |
15 |
Y |
41 |
7 |
Y |
NA |
NA |
NA |
NA |
NA |
NA |
Countries that commit with US/DOL assistance to make substantive improvements in raising income levels of working families |
11 |
4 |
Y |
10 |
8 |
Y |
49 |
6 |
Y |
NA |
NA |
NA |
NA |
NA |
NA |
Judicial and legal decisions which improve core labor standards and workplace safety standards |
1 |
? |
Y |
NA |
NA |
NA |
NA |
NA |
NA |
NA |
NA |
NA |
NA |
NA |
NA |
Countries that improve social safety net programs that protect workers and develop markets |
0 |
? |
N |
NA |
NA |
NA |
NA |
NA |
NA |
NA |
NA |
NA |
NA |
NA |
NA |
Data Source(s): ILO Reports; reports by government, contractors, grantees, and nongovernmental organizations; surveys. |
|||||||||||||||
Performance Goal
4.2A (OASP) |
|||||||||||||||
*Indicator target reached (Y), substantially reached (S) or not reached (N) |
FY 2004 |
||||||||||||||
Result |
Target |
* |
|||||||||||||
Seek input from the public as part of its decision-making process in determining which regulations or regulatory programs should be prioritized for review for their effects on small businesses and entities |
N |
Y |
N |
||||||||||||
Ensure that all new regulatory proposals identify monetary costs, benefits, and net benefits, and include a summary of this information in all Regulatory Impact Analyses performed by DOL agencies |
17 |
17 |
Y |
||||||||||||
Develop plan to review all significant regulations for maximum flexibility in their reporting and record keeping requirements in order to assess whether DOL agencies are allowing the use of electronic technology by employers where practicable |
N |
Y |
N |
||||||||||||
Women's Bureau - Flex-Options for Women Project: Companies enlisted as corporate mentors |
41 |
40 |
Y |
||||||||||||
Women-owned businesses seeking to establish workplace flexibility policies or programs |
77 |
80 |
S |
||||||||||||
Data Source(s): |
|||||||||||||||
Performance Goal
HR1 (OASAM) |
|||||||||||||||
*Indicator target reached (Y), substantially reached (S) or not reached (N) |
FY 2002 |
FY 2003 |
FY 2004 |
||||||||||||
Result |
Target |
* |
Result |
Target |
* |
Result |
Target |
* |
|||||||
The DOL workforce is a prepared and competent workforce
|
|
|
|
|
|
|
90% |
75% |
Y |
||||||
The DOL workforce is a prepared and competent workforce
|
|
|
|
|
|
|
|
|
|
||||||
The DOL workforce is a prepared and competent workforce
|
|
|
|
|
90% |
Y |
|
|
|
||||||
The DOL workforce is a prepared and competent workforce
|
|
|
|
|
|
|
85% |
10% |
Y |
||||||
The DOL workforce is a prepared and competent workforce
|
|
|
|
|
20% |
Y |
|
|
|
||||||
The DOL workforce is a prepared and competent workforce
|
Y |
Base |
Y |
? |
? |
Y |
|
|
|
||||||
The DOL workforce is a prepared and competent workforce
|
10 |
? |
Y |
|
|
|
|
|
|
||||||
The DOL workforce is a prepared and competent workforce
|
60% |
20% |
Y |
NA |
NA |
NA |
|
|
|
||||||
The DOL workforce is a diverse workforce
|
30% |
30% |
S |
38% |
30% |
Y |
32% |
25% |
Y |
||||||
The DOL workforce is a diverse workforce
|
Y |
Y |
N |
Y |
Y |
Y |
29% |
40% |
N |
||||||
The DOL workforce is a diverse workforce
|
NA |
NA |
NA |
NA |
NA |
NA |
43% |
40% |
Y |
||||||
Data Source(s): HR Information System; Agency strategic, workforce & recruitment plans; employee performance and development plans; AEP Reports |
|||||||||||||||
Performance Goal
HR2 (OASAM) |
|||||||||||||||
*Indicator target reached (Y), substantially reached (S) or not reached (N) |
FY 2000 |
FY 2001 |
FY 2002 |
FY 2003 |
FY 2004 |
||||||||||
Result |
Target |
* |
Result |
Target |
* |
Result |
Target |
* |
Result |
Target |
* |
Result |
Target |
* |
|
Lost production days per 100 employees (number of days employees spend away from work due to work related injuries and illnesses) |
57.3 days |
56.2 days |
N |
66.0 days |
56.2 days |
N |
50.6 days |
53.7 |
Y |
41.3 days |
52.6 days |
Y |
37.3 |
40.5 days |
Y |
Data Source(s): OWCP Table 2 Reports and Charge Back System data; personnel data from the Office of Personnel Management. |
|||||||||||||||
Performance Goal
HR3 (OASAM) |
|||||||||||||||
*Indicator target reached (Y), substantially reached (S) or not reached (N) |
FY 2000 |
FY 2001 |
FY 2002 |
FY 2003 |
FY 2004 |
||||||||||
Result |
Target |
* |
Result |
Target |
* |
Result |
Target |
* |
Result |
Target |
* |
Result |
Target |
* |
|
Total case rate of illnesses and injuries (based on reports to workers' compensation programs) |
3.50 |
3.60 |
Y |
4.01 |
3.49 |
N |
2.98 |
3.39 |
Y |
2.50 |
3.29 |
Y |
1.72 |
2.43 |
Y |
Percent on time filing rate (became Goal HR5 in FY 2004) |
57% |
50% |
Y |
55% |
65% |
N |
75% |
62% |
Y |
84% |
78% |
Y |
NA |
||
Data Source(s): OWCP Table 2 Reports and personnel data from the Office of Personnel Management. |
|||||||||||||||
Performance Goal
HR4 (OASAM) |
|||||||||||||||
*Indicator target reached (Y), substantially reached (S) or not reached (N) **Estimated |
FY 2004 |
||||||||||||||
Result |
Target |
* |
|||||||||||||
Lost time injury and illness cases per 100 employees (number of cases that result in days away from work due to work related injury or illness) |
1.11** |
1.19 |
Y |
||||||||||||
Data Source(s): OWCP Table 2 Reports, Chargeback Reports, and personnel data from DOL's Departmental Budget Center. |
|||||||||||||||
Performance Goal
HR5 (OASAM) |
|||||||||||||||
*Indicator target reached (Y), substantially reached (S) or not reached (N) **Estimated |
FY 2004 |
||||||||||||||
Result |
Target |
* |
|||||||||||||
Percent on time filing rate |
88%** |
88% |
Y |
||||||||||||
Data Source(s): OWCP Table 2 Reports, Chargeback Reports, and timeliness records. |
|||||||||||||||
Performance Goal
PR1 (OASAM) |
|||||||||||||||
*Indicator target reached (Y), substantially reached (S) or not reached (N) |
FY 2002 |
FY 2003 |
FY 2004 |
||||||||||||
Result |
Target |
* |
Result |
Target |
* |
Result |
Target |
* |
|||||||
FTE on the FAIR Act inventory included in completed competitions or direct conversions |
152 |
140 |
Y |
168 |
268 |
N |
386 |
? |
S |
||||||
Data Source(s): DOL ‘s 2000 Federal Activities Inventory Reform Act inventory |
|||||||||||||||
Performance Goal
PR2 (OASAM) |
|||||||||||||||
*Indicator target reached (Y), substantially reached (S) or not reached (N) |
FY 2002 |
FY 2003 |
FY 2004 |
||||||||||||
Result |
Target |
* |
Result |
Target |
* |
Result |
Target |
* |
|||||||
Percent of total eligible service contracting dollars awarded (for contracts exceeding $25,000) using Performance-Based Service Contracting (PBSC) techniques |
18% |
20% |
S |
42% |
30% |
Y |
67% |
40% |
Y |
||||||
Data Source(s): Federal Procurement Data System |
|||||||||||||||
Performance Goal
FM1 (OCFO) |
|||||||||||||||
*Indicator target reached (Y), substantially reached (S) or not reached (N) |
FY 2000 |
FY 2001 |
FY 2002 |
FY 2003 |
FY 2004 |
||||||||||
Result |
Target |
* |
Result |
Target |
* |
Result |
Target |
* |
Result |
Target |
* |
Result |
Target |
* |
|
Maintain an unqualified (clean) audit opinion with no material internal control weaknesses |
NA |
NA |
NA |
NA |
NA |
NA |
NA |
NA |
NA |
Y |
Y |
Y |
Y |
Y |
Y |
Meet new requirements and standards in accordance with the Federal Financial Management Improvement Act (FFMIA) and Federal Managers' Financial Integrity Act |
|
|
|
|
|
|
|
|
|
100% |
100% |
Y |
100% |
100% |
Y |
FY 2001-2002: DOL financial management conforms to all Federal accounting standards, laws, and regulations. All DOL financial systems meet FFMIA and Government Management Reform Act standards. |
|
|
|
100% |
100% |
Y |
100% |
100% |
S |
|
|
|
|
|
|
FY 2000: All DOL financial systems meet the standards or have prepared corrective action plans to meet them |
88% |
100% |
S |
|
|
|
|
|
|
|
|
|
|
|
|
Issue consolidated financial statements by Feb.1 the following year |
NA |
NA |
NA |
NA |
NA |
NA |
NA |
NA |
NA |
100% |
Y |
Y |
Y |
Y |
Y |
Issue quarterly financial statements within 45 days after each quarter |
NA |
NA |
NA |
NA |
NA |
NA |
NA |
NA |
NA |
100% |
Y |
Y |
Y |
Y |
Y |
Identify and correct processes and systems that contribute to erroneous benefit overpayments |
NA |
NA |
NA |
NA |
NA |
NA |
NA |
NA |
NA |
NA |
NA |
NA |
N |
Y |
N |
Data Source(s): OIG audit opinion in FY 2003 Annual Report; Secretary's Assurance Statements on FFMIA and FMFIA; President's Management Agenda Scorecard |
|||||||||||||||
Performance Goal
FM2 (OCFO) |
|||||||||||||||
*Indicator target reached (Y), substantially reached (S) or not reached (N) |
FY 2003 |
FY 2004 |
|||||||||||||
Result |
Target |
* |
Result |
Target |
* |
||||||||||
Interfaced Department Accounting and Agency program systems provide cost-based performance data |
NA |
NA |
NA |
Y |
Y |
Y |
|||||||||
Develop and disseminate cost accounting policy and training materials to address issues raised in prior year survey |
NA |
NA |
NA |
Y |
Y |
Y |
|||||||||
Assess program agencies' level of integration of financial and performance information. Prioritize areas for improvement |
100% |
Y |
Y |
NA |
NA |
NA |
|||||||||
Complete documentation with and for agency managers in order for them to access and utilize cost accounting information |
100% |
Y |
Y |
NA |
NA |
NA |
|||||||||
Survey program managers for actual use of cost accounting information in program management decision-making processes |
100% |
Y |
Y |
NA |
NA |
NA |
|||||||||
Data Source(s): OMB Financial Management Scorecard |
|||||||||||||||
Performance Goal
IT1 (OASAM) |
|||||||||||||||
*Indicator target reached (Y), substantially reached (S) or not reached (N) |
FY 2004 |
||||||||||||||
Result |
Target |
* |
|||||||||||||
Automate 100% of the Manual Processes Designated Under GPEA |
93% |
100% |
N |
||||||||||||
Implement the Web-based E-Procurement System (EPS) in seven DOL component agencies. |
14 |
7 |
Y |
||||||||||||
Establish an Enterprise-wide Directory Service |
Y |
Y |
Y |
||||||||||||
Data Source(s): 1. GPEA and E-Gov Progress Reports to OMB and other internal reports. 2. Internal tracking activities for progress on E-Government initiatives, E-Procurement Implementation, and E-Government Workforce efforts. 3. Phase II Enterprise Architecture documentation, Industry-standard best practices and Quarterly IT reviews |
|||||||||||||||
Performance Goal
IT2 (OASAM) |
|||||||||||||||
*Indicator target reached (Y), substantially reached (S) or not reached (N) |
FY 2004 |
||||||||||||||
Result |
Target |
* |
|||||||||||||
Percent of DOL's sensitive systems that have been periodically assessed for risk and magnitude of harm that might result from unauthorized access. |
95% |
95% |
Y |
||||||||||||
Percent of all weaknesses documented in the FY 2004 Plan of Actions and M ilestones (POA&Ms) closed or on schedule |
65% |
60% |
Y |
||||||||||||
Percent of all DOL sensitive systems fully certified and accredited during FY04 |
94% |
90% |
Y |
||||||||||||
Percent of all DOL employees and contractors that receive annual security awareness training |
98% |
98% |
Y |
||||||||||||
Percent of DOL's sensitive systems for which a System Test and Evaluation has been conducted |
94% |
85% |
Y |
||||||||||||
Percent of DOL agencies that respond to Computer Security Incident Response Capability (DOLCSIRC) advisories in accordance with the procedures in the DOL Computer Security Handbook |
60% |
50% |
Y |
||||||||||||
Percent of all DOL sensitive systems with contingency plans |
98% |
95% |
Y |
||||||||||||
Percent of contingency plans tested |
52% |
50% |
Y |
||||||||||||
Data Source(s): 1, 3, 4, 5, 7, & 8. FISMA Agency reviews and final report. 2. 4 th Quarter PO&AM report to OMB. 6. DOLCSIRC Agency Reply Tracking Sheet. |
|||||||||||||||
Performance Goal
IT3 (OASAM) |
|||
*Indicator target reached (Y), substantially reached (S) or not reached (N) |
FY 2004 |
||
Result |
Target |
* |
|
Percent of major IT initiatives completed during FY 2004 that deliver intended benefits |
95% |
95% |
Y |
Percent of in-process IT initiatives evaluated operate within 10% of cost, schedule, and technical performance parameters |
93% |
87% |
Y |
Rollout and migration to new investment management application for use during the FY 2006 budget cycle |
Y |
Y |
Y |
Data Source(s): 1 & 2. Quarterly control reviews and post implementation reviews. 3. Exhibits 53 and 300 submitted in 9/04. |
|||
![]() |
![]() |

