Engagement in Additional Work Activities and
Expenditures for Other Benefits and Services,
March 2011:
A TANF Report to Congress

Table of Contents
Executive Summary
Overview
Work Participation Data
Work Participation Reporting Requirements
Participation Data Trends in Past Years
Prior Research on Engagement and Non-Participation
Claims Resolution Act Engagement Reporting
Estimated Total Number of Work Eligible Individuals
WEIs Meeting Federal Participation Rate Standards
WEIs with Zero Hours of Participation
WEIs with Unreported Countable Hours
WEIs with Insufficient Hours
WEIs with Uncountable Hours Due to Statutory Time Limits on Participation
WEIs with Hours that Do Not Meet Verification Standards
WEIs with Hours in Non-Countable Activities
Conclusions for Engagement Reporting
Future Research on Participation and Engagement
TANF Financial Data
Financial Data Reporting Requirements
Financial Data Trends in Past Years
Prior Research on Financial Data
Claims Resolution Act Financial Data Reporting
Claims Resolution Act Financial Data Findings and Analysis
“Other” Non-Assistance
Child Welfare Payments and Services
Emergency Assistance
Domestic Violence Services
Mental Health and Addiction Services
Education and Youth Programs
Health/Disability Services
Teen Pregnancy/Prevention Programs
Early Childhood Care and Education
Employment Services and Work Supports
Marriage and Parenting Initiatives
Child Support
Adult/Postsecondary Education
TANF Program Expenses
Additional Expenditures
Assistance and Non-Assistance “Authorized Solely Under Prior Law”
Child Welfare
Juvenile Justice
Other Emergency Assistance
Additional Expenditures
Recommendations for Engagement and Financial Data Reporting
Appendices
Appendix I: ACF-812 Instructions (Printer-Friendly in Word 88 KB, PDF 26 KB format)
Appendix II: Website Addresses for State Engagement Reports (Printer-Friendly in Word 49 KB, PDF 17 KB format)
Appendix III: Definitions of WEI Categories and Work Activities (Printer-Friendly in Word 29 KB, PDF 13 KB format)
Appendix IV: ACF-196(SUP) Instructions (Printer-Friendly in Word 74 KB, PDF 25 KB format)
Appendix V: State ACF-196(SUP) Reports (Printer-Friendly in Word 956 KB, PDF 2.14 MB format)
Appendix VI: Subtitle B of the Claims Resolution Act of 2010 (Public Law 111-291)
Executive Summary
The Claims Resolution Act of 2010 (Public Law 111-291) was signed by President Obama on December 8, 2010. The Act extended the Temporary Assistance for Needy Families (TANF) block grant through the end of fiscal year (FY) 2011. The extension included two new reporting requirements, requiring States, the District of Columbia, and Territories (henceforth referred to as “States”) to provide additional detail about: (1) work participation for families that currently do not meet the TANF program’s requirements to count toward State work participation rates; and (2) TANF spending in two broad categories known simply as “other non-assistance” and “authorized solely under prior law.” States are required to submit two reports with these data – one for the month of March 2011 and a second for the months of April, May, and June, 2011.
Section 812 of the Claims Resolution Act requires the Secretary to submit a Report to Congress on the information submitted by States. This report reflects State reports for March 2011. A subsequent report will cover the April-June period.
Claims Resolution Act Engagement Reporting
On February 14, 2011, the Department of Health and Human Services (HHS) issued a Program Instruction (TANF-ACF-PI-2011-03) and a new reporting form (Form ACF-812, the “Report on Engagement in Additional Work Activities for Families Receiving Assistance under the TANF and SSP-MOE Programs”) to implement the work participation-related data collection requirements of the Claims Resolution Act of 2010. The Claims Resolution Act required States to report on the activities of work-eligible individuals (WEIs) on their caseloads.
All States, except the Territory of Guam, submitted the required data on the ACF-812 by June 15, 2011; however, Puerto Rico is also excluded from this report due to data errors.
Throughout the United States, there were 1,276,633 WEIs, in approximately 1.9 million families receiving assistance through TANF or State programs counting toward TANF maintenance-of-effort (MOE) requirements. The number of individuals in each of the categories below should sum to more than 100 percent of WEIs since a WEI could fall into more than one of the following categories. States reported the following statuses for WEIs in the month of March.:
- WEIs Meeting Federal Participation Rate Standards: Nationally, there were 300,983 WEIs counting toward the participation rate (23.6 percent). Note that in most States, the percentage of WEIs counting toward the participation rate is likely to be lower than the official work participation rate. This is due to methodological differences between the calculations. For example, a family may include more than one WEI and the participation rate calculation excludes families with a WEI that can be disregarded, e.g., single parent families with a child under the age of one and those who are subject to a work-related sanction (for up to three months in a 12-month period). The WEIs in these “disregarded” families are included in the analysis here but not counted in the Federal participation rate calculation unless they are actually participating (with no more than one WEI counted per family).
- WEIs with Zero Hours of Participation: Nationally, 668,181 WEIs (52.3 percent of all WEIs) had zero hours of participation in a countable or non-countable work activity. The data from States indicate that this represents a range of situations. Among WEIs who are reported as having zero hours of participation:
- 19.5 percent are non-compliant and are in the sanction process (and are not disregarded);
- 15.2 percent are individuals the State or local agency has failed to engage;
- 13.3 percent are in families disregarded from the participation rate because they were caring for a child under age one, were subject to a work-related sanction, or were participating in a Tribal work program
- 12.3 percent are exempt due to illness or disability;
- 9.1 percent are exempt due to other State policies;
- 4.4 percent are exempt by the State because they are single-custodial parents with a child under the age of one, but not disregarded from the work participation rate;
- 4.4 percent are in families in their first month of assistance with no activities yet assigned;
- 2.8 percent have been assigned an activity that has not yet begun;
- 1.8 percent are single custodial parents with a child under the age of six with no child care available;
- 1.5 percent are exempt by the State due to illness of a child or other family member;
- 0.6 percent are exempt by the State due to a good cause;
- 0.5 percent are under a domestic violence waiver;
- 0.5 percent have relocated from one jurisdiction within the State to another;
- 0.4 percent have work activity reports that were received too late for inclusion; and
- 13.6 percent have zero hours of participation but are in other statuses.
- WEIs with Unreported Countable Hours: Sixteen States reported that there were 17,963 WEIs (1.4 percent of all WEIs) with unreported countable hours of participation, totaling 568,454 hours of unreported participation. The total number of unreported hours of participation in countable work activities was greatest in job search/job readiness assistance and in vocational educational training. A State may choose not to report hours of participation for purposes of the work participation rate if the individual does not meet the standard for counting toward the work participation rate calculation.
- WEIs with Insufficient Hours: Fifty States reported a total of 195,904 WEIs (15.3 percent of all WEIs) with insufficient hours to satisfy the work participation requirements. The total number of insufficient hours of participation in countable work activities was 10,412,930. Nearly half of the “insufficient” hours were in unsubsidized employment, reflecting the extent of part-time employment among WEIs.
- WEIs with Uncountable Hours Due to Statutory Time Limits on Participation: Thirty-two States reported having a total of 29,464 WEIs (2.3 percent of all WEIs) participating in time-limited activities beyond a statutory limit. Nationally, the total number of hours beyond the statutory limit reported by States was 1,554,041 hours, with most of these hours in job search/job readiness assistance (1,262,408 hours). The remaining hours beyond the limit are in vocational educational training (291,633 hours).
- WEIs with Hours that Do Not Meet Verification Standards: Twenty-six States reported a total of 70,323 WEIs (5.5 percent) with unverified hours, totaling 5,109,821 unverified hours. The data submitted in response to the Claims Resolution Act requirements may understate the number of States and WEIs with unverified hours of participation because States and/or their vendors typically do not collect information about non-verified hours of participation and there is little incentive to invest resources in doing so.
- WEIs with Hours in Non-Countable Activities: Thirty-three States reported 71,323 WEIs (5.6 percent of WEIs) with hours of participation in non-countable activities that move families toward self-sufficiency, with a total of 2,198,744 hours of participation in non-countable activities reported by States. Three activities accounted for over 85 percent of the hours spent in these activities:
- 36.1 percent for activities related to obtaining a high school diploma or GED;
- 31.3 percent of these hours were in treatment activities; and
- 18.6 percent for family life skills activities
Claims Resolution Act Financial Data Reporting
The Claims Resolution Act required additional State reporting concerning two expenditure categories for which there is only limited reported information – “other non-assistance” and “authorized solely under prior law,” which may be either “assistance” or “non-assistance.”
“Other non-assistance” involves expenditures that meet a TANF purpose, but do not fall within the definition of “assistance” or any other listed category. However, past research on TANF financial data indicates that States sometimes report certain expenditures as “other” non-assistance even though they could report them in other categories on the ACF-196.
Expenditures “authorized solely under prior law” do not meet a TANF purpose, but are allowed pursuant to Section 404(a)(2) of the Social Security Act, which permits States to use TANF funds in any manner that was allowed under the prior Title IV-A (the Aid to Families with Dependent Children Program) or IV-F (Job Opportunities and Basic Skills Training Program) on September 30, 1995, or at State option, August 21, 1996.
On February 14, 2011, HHS issued a Program Instruction (TANF-ACF-PI-2011-04) and a new reporting form -- the Detailed Expenditure Form: ACF-196 Supplement (ACF-196(SUP)) -- to implement the spending-related reporting requirements of the Claims Resolution Act.
Every State submitted the ACF-196(SUP) form by June 15, 2011.
Nationally, “other” non-assistance expenditures totaled $282,477,383 for March 2011, while States spent a total of $106,609,367 for assistance and non-assistance “authorized solely under prior law.” Note that while States may expend either Federal TANF or State MOE on “other” non-assistance, only Federal funding may be expended on programs “authorized solely under prior law.”
- “Other” Non-Assistance: Forty-four States reported expenditures in “other” non-assistance.

Link to MS Excel data file (cra_report-to-congress.xls)
- Child Welfare Payments and Services: Twenty-three States reported expenditures in either Child Welfare Payments or Child Welfare Services. Total spending equaled $71,790,857, or 25.4 percent of “other” non-assistance.
- Emergency Assistance: Nineteen States reported expenditures for Emergency Assistance. Total spending equaled $12,497,516, or 4.4 percent of “other” non-assistance. Expenditures ranged from $403 (West Virginia) to $2,781,484 (Massachusetts).
- Domestic Violence Services: Sixteen States reported expenditures for Domestic Violence Services. Total spending equaled $11,595,674, or 4.1 percent of “other” non-assistance.
- Mental Health and Addiction Services: Fourteen States reported expenditures for Mental Health and Addiction Services. Total spending equaled $13,987,555, or 5.0 percent of “other” non-assistance.
- Education and Youth Programs: Nine States reported expenditures for Education and Youth Programs. Total spending equaled $15,597,278, or 5.5 percent of “other” non-assistance.
- Health/Disability Services: Eleven States reported expenditures for Health/Disability Services. Total spending equaled $5,414,668, or 1.9 percent of “other” non-assistance.
- Teen Pregnancy/Prevention Programs: Eight States reported expenditures for Teen Pregnancy/Prevention Programs. Total spending equaled $5,716,247, or 2.0 percent of “other” non-assistance.
- Early Childhood Care and Education: Twelve States reported expenditures for Early Childhood Care and Education. Total spending equaled $20,521,808, or 7.3 percent of “other” non-assistance.
- Employment Services and Work Supports:Thirteen States reported expenditures for Employment Services and Work Supports. Total spending equaled $4,702,260, or 1.7 percent of “other” non-assistance.
- Marriage and Parenting Initiatives: Seven States reported expenditures for Marriage and Parenting Initiatives. Total spending equaled $1,510,640, or 0.5 percent of “other” non-assistance.
- Child Support: Six States reported expenditures for Child Support. Total spending equaled $1,774,060, or 0.6 percent of “other” non-assistance for March 2011.
- Adult/Postsecondary Education: Four States reported expenditures for Adult/Postsecondary Education. Total spending equaled $21,367,613, or 7.6 percent of “other” non-assistance.
- TANF Program Expenses: Twenty States reported expenditures for TANF Program Expenses. Total spending equaled $55,430,992, or 19.6 percent of “other” non-assistance.
- Additional Expenditures: Twenty-four States reported expenditures for additional expenditures. This category totaled $40,570,215, representing 14.4 percent of “other” non-assistance.
- Assistance and Non-Assistance “Authorized Solely Under Prior Law”: Twenty-one States reported expenditures in assistance and non-assistance “authorized solely under prior law.”

Link to MS Excel data file (cra_report-to-congress.xls)
- Child Welfare: Seventeen States reported expenditures for Child Welfare activities “authorized solely under prior law.” Total spending equaled $97,420,734, or 91.4 percent of assistance or non-assistance “authorized solely under prior law.”
- Juvenile Justice: Two States reported expenditures for Juvenile Justice activities “authorized solely under prior law.” Total spending equaled $963,758, or 0.9 percent of assistance or non-assistance “authorized solely under prior law.”
- Other Emergency Assistance: Eight States reported expenditures for Other Emergency Assistance “authorized solely under prior law.” Total spending equaled $8,224,875, or 7.7 percent of assistance or non-assistance “authorized solely under prior law.”
- Additional Expenditures: Zero States reported expenditures in this subcategory.
As noted, in a number of cases, expenditures reported as “other” non-assistance could appropriately be reported under other existing reporting categories on the ACF-196 TANF reporting form.
Recommendations for Engagement and Financial Data Reporting
The Claims Resolution Act directed HHS to include in this report such recommendations for administrative or legislative changes as the Secretary determines would be necessary to require States to report Claims Resolution Act data on a recurring basis.
HHS lacks the administrative authority to require States to collect the Claims Resolution Act data related to work activities on an ongoing basis without statutory change. When Congress takes up TANF reauthorization, it may wish to consider issues related to engagement data reporting in conjunction with consideration of which activities should count toward the participation requirements and for what period of time, whether individuals participating for some number of hours should partially count toward the participation rates, and what information should be collected about individuals not counting toward participation rates and under what circumstances. Consideration should also be given to a broader set of questions about which outcomes should be tracked for States and families, and the data collection needed to have a clearer picture of progress toward sustained employment and self-sufficiency, and of child and family well-being.
If Congress does determine to add additional engagement-related reporting, the Department recommends that that reporting be integrated with existing participation requirements so that States are reporting in a single system, with one set of time frames for data submission. Any data reporting requirements should also include a reasonable time period for States to collect and report data.
With respect to financial data, HHS originally established the current categories for financial reporting in FY 1999, and they have not been modified since that time. It would be possible to make some revisions to the categories through modification of existing reporting categories, either administratively or through legislative directive. HHS will further analyze the March reporting data, along with the April-June data, and consider whether it would be appropriate to develop new reporting categories, require additional narratives from States in connection with reporting, or take other actions to improve the data reported by States in their usage of TANF funds. Additional discussion of these issues will be included in the April-June report.
Overview
The Claims Resolution Act of 2010 (Public Law 111-291) was signed by President Obama on December 8, 2010. The Act extended the Temporary Assistance for Needy Families (TANF) block grant through the end of fiscal year (FY) 2011. The extension included two new reporting requirements, requiring States, the District of Columbia, and Territories (henceforth referred to as “States”) to provide additional detail about: (1) work participation for families that currently do not meet the TANF program’s requirements to count toward State work participation rates; and (2) TANF spending in two broad categories known simply as “other non-assistance” and “authorized solely under prior law.”
States are required to submit two reports with these data – one for the month of March 2011 and a second for the months of April, May, and June 2011. The March report was due no later than May 31, 2011, and the April - June report is due no later than August 31, 2011. A State that fails to submit either report by the applicable deadline is subject to a penalty of up to four percent of its block grant, although the law provides that the penalty must be rescinded if the report is filed by an extension deadline of June 15, 2011, and September 15, 2011, respectively.
Section 812 of the Claims Resolution Act requires the Secretary to submit a report to Congress on the information submitted by States. This report reflects State reports for March 2011. A subsequent report will cover the April-June period.
Work Participation Data
The TANF statute specifies the work participation rate requirements for States. States must meet both an overall and a two-parent work participation rate or face a financial penalty. The overall work participation rate for a State requires that at least 50 percent of TANF families with a work-eligible individual (WEI) engage in one or more of 12 specified work activities (see Table 1) for a minimum average of 30 hours per week (20 hours for a single parent with a child under six) in a month. The two-parent work participation rate requires States to have at least 90 percent of two-parent families with two WEIs in work activities for at least an average of 35 hours per week (55 hours for a family receiving federally subsidized child care) in a month. The hours of participation must meet verification standards established by the States in their Work Verification Plans. The law also includes a caseload reduction credit, which reduces a State’s required participation rate by one percentage point for each percentage that the State’s assistance caseload the prior year (the comparison year) falls below the caseload in FY 2005 (the base year). The Deficit Reduction Act of 2005 (DRA) required the work participation rates to include families in separate State programs funded with maintenance-of-effort funds (SSP-MOE) (i.e., programs funded with State dollars counting toward the State’s cost sharing requirements). This change took effect with the FY 2007 work participation rates.
The law specifies the activities that may count for work participation purposes and imposes certain restrictions on when they may count. Specifically, under the law, for a family to count in the State’s overall work participation rate for a month, a WEI in the family must participate for an average of 30 hours per week, of which at least an average of 20 hours per week must be in one or more of the nine “core” activities. The three other “non-core” activities may count for any remaining hours beyond the “core hours” requirement. Please refer to Table 1 for a list of the countable work activities. Similarly for the two-parent rate, 30 of the 35 average weekly hours (or 50 of 55 hours for a family receiving federally subsidized child care) must come from the same nine work activities.
A teen parent (under age 20) who is a WEI may count toward the work participation rate without regard to the hours and activities requirements if he or she maintains satisfactory attendance in secondary school (or the equivalent) or participates in education directly related to employment for an average of at least 20 hours per week in the month.
Current law restricts a State’s ability to count toward the participation rate hours of participation in certain activities. It limits counting participation in job search/job readiness assistance to no more than six weeks (12 weeks if a State meets the definition of a “needy State” for the TANF Contingency Fund) and no more than four consecutive weeks. Similarly, vocational educational training is limited to a lifetime of 12 months for any individual for participation rate purposes.1
As described below, these restrictions may affect how some States report hours of work activity participation by some WEIs.
| “Core” Activities (at least 20 hours/week from these) |
“Non-Core” Activities (only countable for hours in excess of 20) |
|---|---|
| Unsubsidized employment | Job skills training directly related to employment |
| Subsidized private sector employment | Education directly related to employment |
| Subsidized public sector employment | Satisfactory attendance at secondary school or in a GED program |
| Work experience | |
| On-the-job training | |
| Job search /job readiness assistance | |
| Community service programs | |
| Vocational educational training | |
| Providing child care to a participant in a community service program |
In accordance with the DRA, the Department of Health and Human Services (HHS) defined each of the countable work activities and established verification requirements that a State must meet in order to count an hour of participation in an interim rule published on June 29, 2006, and revised on February 5, 2008, with publication of the final rule. The work activities are defined at 45 CFR 261.2 and included as Appendix III of this report.
Work Participation Reporting Requirements
Since the beginning of TANF, States have been required to collect data on work participation activities on a monthly basis for both TANF (ACF-199 form) and SSP-MOE (ACF-209 form) cases; these data are reported to HHS on a quarterly basis. These data include disaggregated case record information on the families receiving assistance, including hours of participation in the 12 statutory TANF work activities. For each of these countable work activities, States report the average hours of participation per week for the report month. A State may comply with these requirements by collecting and submitting case record information for its entire caseload or by collecting and submitting the case record information obtained through the use of scientifically acceptable sampling methods for a portion of the caseload.
Participation Data Trends in Past Years
States have submitted data on work participation since FY 1997. These data are used to calculate a State’s work participation rate. Since FY 2002, the work participation data has been reported in a manner that allows for the presentation of the share of families required to participate that have insufficient hours to count as participants and the share with no reported hours of participation. Until the special data collection provisions of the Claims Resolution Act were established, States were not required to submit data that explained why a WEI was not engaged in activities, nor whether an individual not counting toward participation rates was involved in other self-sufficiency-related activities. HHS lacked authority to require such reporting because, pursuant to Section 417 of the Social Security Act, HHS cannot require data reporting beyond the reporting required by statute.
Federal participation rates are calculated based on families subject to and meeting participation requirements. The Claims Resolution Act, on the other hand, requires reporting on an individual rather than a family basis, i.e., it requires reporting for all WEIs. Because there may be one or more WEIs in a family, the number of WEIs is greater than the number of families with a WEI. For example, in FY 2009, there were 1,166,322 WEIs receiving assistance, versus 1,035,213 families including a WEI.2 Furthermore, the TANF statute allows States to disregard from the work participation rate families with a WEI: that include a single custodial parent caring for a child under age one (for not more than 12 months over the WEI’s lifetime); that are subject to a penalty for refusing to work in that month, unless that family has been penalized for refusal to participate in work activities for more than three of the last 12 months; and that are participating in a Tribal work program. For the Claims Resolution Act, however, States were instructed to include these individuals when reporting total WEIs, and were able to cite the disregards as a reason for zero hours of participation (see Tables 7, 8, and 9 below). 3 These distinctions matter because data presented by families “required to participate” will look somewhat different than data presented by WEI. For instance, in FY 2009, 45.2 percent of families with a WEI that were “required to participate” had one or more reported hours of participation (see columns two and three in Table 2 below), while 41.8 percent of WEIs had one or more reported hours of participation (see column six in Table 2).
Regardless of the unit of analysis, the trend is the same. With the exception of one year (FY 1999), the TANF participation rate has ranged between 29.5 percent and 35.3 percent in every year since TANF began. The share of families “required to participate” (i.e., with a WEI and not disregarded) with no reported hours of participation has ranged between 50.9 percent (FY 2001) and 56.7 percent (FY 2007) in every year between FY 2000 and FY 2009; the share of WEIs with no reported hours of participation has ranged between 55.3 percent (FY 2006) and 62.1 percent (FY 2007) in each year between FYs 2000 and 2009.4
| Fiscal Year | Families with a Work-Eligible Individual (WEI) | Work-Eligible Individuals (WEIs) | |||||
|---|---|---|---|---|---|---|---|
| 1: Required to Participate |
2: Participating & Counting Toward Rates |
3: Insufficient Hours |
4: Zero Hours of reported participation |
5: Total WEIs |
6: Any Hours of Reported Participation |
7: Zero Hours of Reported Participation |
|
| 1997 | 2,077,815 |
30.7% |
NA |
NA |
NA |
NA |
NA |
| 1998 | 2,104,265 |
35.3% |
NA |
NA |
NA |
NA |
NA |
| 1999 | 1,612,477 |
38.3% |
NA |
NA |
NA |
NA |
NA |
| 2000 | 1,260,392 |
33.4% |
14.6% |
51.4% |
1,588,651 |
39.7% |
60.3% |
| 2001 | 1,112,577 |
34.4% |
14.7% |
50.9% |
1,403,089 |
43.2% |
56.8% |
| 2002 | 1,042,990 |
33.5% |
13.1% |
53.4% |
1,311,607 |
41.7% |
58.3% |
| 2003 | 1,014,123 |
31.6% |
13.2% |
55.2% |
1,242,473 |
41.2% |
58.8% |
| 2004 | 952,523 |
32.3% |
13.6% |
54.1% |
1,164,873 |
42.5% |
57.5% |
| 2005 | 885,730 |
33.5% |
13.6% |
52.9% |
1,095,346 |
43.4% |
56.6% |
| 2006 | 817,937 |
33.1% |
14.3% |
52.6% |
992,734 |
44.7% |
55.3% |
| 2007 | 882,613 |
29.9% |
13.4% |
56.7% |
1,124,351 |
37.9% |
62.1% |
| 2008 | 827,322 |
29.5% |
14.4% |
56.1% |
1,049,558 |
39.5% |
60.5% |
| 2009 | 931,738 |
29.6% |
15.6% |
54.8% |
1,166,322 |
41.8% |
58.2% |
| Source: various tables available at http://www.acf.hhs.gov/programs/ofa/particip/indexparticip.htm Link to MS Excel data file (cra_report-to-congress.xls) |
|||||||
Prior Research on Engagement and Non-Participation
While the percentage of TANF cases with zero hours of participation has always exceeded 50 percent of those “required to participate” (or, more precisely, those included in the denominator of the work participation rate calculation), there also has been considerable anecdotal evidence that many families are engaged in a range of activities that do not meet TANF’s work participation requirements. To learn more about these strategies, the Office of the Assistant Secretary for Planning and Evaluation at the Department of Health and Human Services contracted with Mathematica Policy Research, Inc., (MPR) in FY 2003 to conduct the Study of Work Participation and Full Engagement Strategies, an examination of seven State and local programs that attempt to engage all or nearly all TANF recipients in work and work-related activities.5 While the sites selected were not representative of TANF sites in general, the range of activities found in these sites shows the importance that at least some States were placing on non-countable activities designed to promote self-sufficiency.
Table 3 shows the types of “engagement” activities that were identified in the MPR study, including those that do not count toward TANF’s work participation requirements.
| Employment-Related | Education and Training | Treatment | Life Skills | Accessing Work Supports | Child-Related Activities | Miscellaneous |
|---|---|---|---|---|---|---|
Unsubsidized employment (including self-employment)
|
High school or GED Adult basic education English as a Second Language Vocational education Vocational rehabilitation College Homework |
Physical or mental health treatment Substance abuse treatment Domestic violence Physical or developmental disabilities Prenatal programs Services for learning disabilities |
Family life skills Teen parent services Parenting programs Mentoring Personal development activities (e.g., journal writing) Organizational skills workshops Budgeting skills workshops |
Finding and arranging child care Obtaining a driver’s license Applying for transportation Obtaining work-related equipment or clothing |
Attending after-school appointments Helping with homework Attending to physical or mental health conditions (e.g., immunizations) Volunteering for child-related activities (e.g., sports, classroom, etc.) Home schooling |
Commuting to, from, or between activities Complying with various requirements (e.g., child support enforcement) Attending court (for personal reasons or jury duty) Applying for SSI, housing assistance, or other income support programs Caring for a disabled family member In conciliation In sanction status In assessment |
Sources: Adapted from Jacqueline Kauff, Michelle K. Derr, and LaDonna Pavetti, A Study of Work Participation and Full Engagement Strategies: Final Report (Washington, DC: Mathematica Policy Research, Inc., September 2004), available at http://aspe.hhs.gov/hsp/full-engagement04/report.pdf; includes additional activities suggested by States and other interested parties in comments provided on the interim final rule for the Deficit Reduction Act of 2005. |
||||||
Beginning with FY 2000, HHS incorporated an “Other Work Activities” data element to its data collection system to allow States to report, on a voluntary basis, hours of participation in activities that cannot count toward the TANF work participation rates. While some States have been providing data in this category since FY 2000, on June 2, 2010, HHS issued an Information Memorandum (IM), TANF-ACF-IM-2010-01, to further encourage all States to make reporting all non-countable activities in the “Other Work Activities” data field a regular practice (note: aside from reporting requirements in the Claims Resolution Act, HHS lacks the authority to require States to report hours of participation that do not count toward meeting participation rates). HHS expects States to increase their reporting of WEIs with hours of participation in “Other Work Activities” for the FY 2011 reporting period as a result of the IM.
Claims Resolution Act Engagement Reporting
On February 14, 2011, HHS issued a Program Instruction (TANF-ACF-PI-2011-03) and a new reporting form (Form ACF-812, the “Report on Engagement in Additional Work Activities for Families Receiving Assistance under the TANF and SSP-MOE Programs”) to implement the work participation-related data collection requirements of the Claims Resolution Act of 2010 (see Appendix I).
The Claims Resolution Act required States to report on the activities of WEIs on their caseloads. The regulatory definition of a “work-eligible individual” is found at 45 CFR 261.2(n); it refers to “an adult (or minor child head-of-household) receiving assistance under TANF or a separate State program or a non-recipient parent living with a child receiving such assistance unless the parent is: (i) a minor parent and not the head of household; (ii) a non-citizen who is ineligible to receive assistance due to his or her immigration status; or (iii) at State option on a case-by-case basis, a recipient of Supplemental Security Income (SSI) benefits or Aid to the Aged, Blind, or Disabled in the Territories. The term also excludes: (i) a parent providing care for a disabled family member in the home, provided that there is medical documentation to support the need for the parent to remain in the home to care for this disabled family member; (ii) at State option on a case-by-case basis, a parent who is the recipient of Social Security Disability Insurance (SSDI) benefits; and (iii) an individual in a family receiving MOE-funded assistance under an approved Tribal TANF plan, unless the State includes the Tribal family in calculating work participation rates under §261.25.”
For the ACF-812, with respect to each WEI in a family receiving TANF or SSP-MOE assistance during the reporting period, each State must collect and report for each WEI the specific activities that (1) do not qualify as countable work activities, but are otherwise reasonably calculated to help the family move to self-sufficiency; (2) that are countable work activities, but for the fact that the State chose not to report the hours of participation; or (3) that could be countable work activities, but for the fact that the WEI: (a) has not engaged in such activities for a sufficient number of hours to count toward participation rates; (b) has reached a maximum time limit allowed for having participated in the activity count; or (c) has hours of participation that do not meet the standards needed to comply with work verification requirements. If a WEI has no hours of participation in any activity, the State is to select from a variety of possible reasons for non-participation.
As specified by statute, States were permitted to use samples. For a State that currently submits the TANF Data Report (and, if applicable, the SSP-MOE Data Report) based on a sample, the State must generally use the same selected cases for the report month in this report. For a State that submits the TANF Data Report (and, if applicable, the SSP-MOE Data Report) for all cases receiving assistance for a report month, the State has the option to submit this report for the entire caseload or submit this report based on a sample. The applicable sampling procedures are described in the aforementioned Program Instruction (see Appendix I for ACF-812 instructions).
All States, except the Territory of Guam, submitted the required data by June 15, 2011; however, Puerto Rico is excluded from this report due to data errors.
In addition to submitting data to HHS on the ACF-812, the Claims Resolution Act also required each State to publish a summary report of engagement in additional activities on a website maintained by the State concurrently with the submission of data to HHS. States were not required to submit these reports to HHS. Appendix II of this report provides a list of the website addresses where these reports may be accessed. Despite the statutory requirement to make posting concurrent with the data submission, some States have not yet posted their reports; as of July 27th, North Carolina and Guam had not posted a summary report of engagement in additional activities on their State’s website.
The Claims Resolution Act specified that this report to Congress should identify “any States with missing or incomplete reports.” In the immediate aftermath of the report deadline, HHS identified a number of data anomalies in selected States and worked with those States to correct the data. Nevertheless, some State ACF-812 reports still contain missing information. For example, several State reports showing the distribution of WEIs by major categories of participation or non-participation failed to account for all WEIs. The number of individuals in these categories should sum to at least 100 percent of WEIs since a WEI could fall into more than one of the following categories: (1) WEIs meeting Federal participation rate standards, (2) WEIs with zero reported hours of participation, (3) WEIs with unreported countable hours, (4) WEIs with insufficient hours, (5) WEIs with hours beyond the statutory limit, (6) WEIs with hours that do not meet verification standards, and (7) WEIs with hours in non-countable activities. However, Georgia and North Carolina fall short of accounting for all WEIs, reporting for only 83.4 percent and 90.6 percent of WEIs, respectively.
Initially, there also was a problem with three States including “zero hours” within the “insufficient hours” category, but this problem was identified and corrected. A similar problem occurred with data related to reasons for non-participation, but most of these omissions were corrected soon after the ACF-812 was submitted.
Only Puerto Rico’s data was judged sufficiently incomplete that its data were completely excluded from this report. The key deficiencies included:
- A total of 11,921 WEIs are reported, but the State erroneously includes zero hours with insufficient hours; these are mutually exclusive categories.
- All WEIs are reported as having “insufficient hours,” with a total of 52 hours of missed participation for the whole group, which means, on average, each WEI participated less than one minute. It is not likely that all WEIs have insufficient hours – there are probably some who have enough hours to count and some who have zero hours. Also, the total hours of participation is obviously an error.
- All WEIs also are reported in the “zero hours” category, with 9,864 supposedly in the first month of assistance. This suggests an implausible level of turnover in the caseload. Once the number of non-participating WEIs is identified, Puerto Rico should be able to do a better job identifying the reason for nonparticipation.
It appears that Puerto Rico did not report any WEIs that had sufficient hours to meet minimum work requirements.
There are likely other areas of omission and other errors. HHS will work with States in the coming months to help improve the data submission for the April-June period.
There are likely other areas of omission and other errors. HHS will work with States in the coming months to help improve the data submission for the April-June period.
- data reporting requirements (or following similar procedures). Since current sampling procedures are based on sample size needs for an annual data collection, sampling error will be considerably larger for the March data than for the ongoing annual data reports. For example, as New York observes:
It is important that readers of this report regard the findings here as preliminary, mostly because they are based on a limited sample of a single month’s data. For instance, some of the figures listed above are based on a single weighted observation, and activities that WEIs may be engaging in or circumstances they are experiencing may not appear here simply because no such individuals were sampled this month.
California’s engagement report also cautions about sample size and the inability to resubmit data when updates or corrections become available.
California’s TANF sample is an annual sample and only valid with twelve complete months of sample data. This report is based upon 1/12th of the annual sample and is not a statistically valid representation of California’s TANF caseload. In addition, for the normal quarterly TANF Data Report to [HHS], states have the opportunity to resubmit data if new information is received about the TANF case or data entry errors are found. For the Report on Engagement in Additional Work Activities, states are not allowed this option. For this reason, these data may be inconsistent with what will be reported for the comparable period in the TANF Data Report.
Thus, the findings should be considered suggestive only.
- The data reported here are not directly comparable to most of the data published when the official work participation rate data are released. The official TANF work participation rates are based on TANF and SSP-MOE families with a WEI and States are permitted, by statute, to “disregard” certain families from the participation rate calculation. Many of the detailed tabulations released as part of the work participation rate series also are based on this subgroup of families. In contrast, this special data collection is based on all WEIs. Thus, a family with two WEIs might count as one unit in the analysis of the official work participation data (if not disregarded), but as two units in this analysis. And, a WEI that is part of a family disregarded from the participation requirements because he or she has a child under the age of one or is subject to a sanction for no more than three months in the preceding 12-month period, is included in this analysis.
- Comparisons of data submitted on the ACF-812 to State-specific reports (available in Appendix II) may not be possible because the data reported in this report are weighted to reflect caseload size, whereas individual States took a variety of approaches to presenting the data in the reports they published on the State website. For example, some States simply reported numbers from the sample, while other States used weights to reflect the statewide caseload. In some cases, the weighting procedures used by the State and those used by HHS differed, thus resulting in somewhat different numbers.
- There seems to have been some underreporting, possibly the result of requirements that mandated reporting of certain categories of information which States did not normally collect. For example, 26 States reported that zero individuals failed to count toward the participation rate due to insufficient verification, and 19 States reported that zero individuals were engaged in self-sufficiency related activities that did not count toward participation rates.
- The short timeframe provided for reporting this data may have limited the capacities of States to collect certain information. For example, with additional time to verify work hours, it is possible that States might have attained verification for some WEIs that were reported as having hours of participation that do not meet verification standards or as having zero hours. Thus, WEIs with at least some verified hours of participation may be underreported. The short timeframe also meant that some States were unable to modify automated data collection systems to include information that is not collected for regular monthly reports, such as participation in non-countable activities.
It is also important to note that States took various approaches to collecting the data for the ACF-812 report. Some engagement reports posted by States on their websites described the methodology used to comply with reporting requirements. In certain States, the data elements were able to be added to the automated systems already in place, while others stated that there was insufficient time and resources to modify the system. In the latter cases, the data had to be collected manually; this involved methods such as sending out a survey to county welfare departments to complete data elements for WEIs in the sample, examining individual case notes, and even contacting each sampled TANF client via telephone to conduct an in-depth interview. For example, after recognizing that its automated system could not be programmed to capture the information required for this report, Florida implemented intensive data collection strategies; the State explains in its engagement report:
We scrubbed data elements in each system for any hours that might have been miscoded or overlooked, searched the systems’ running record comments for any information in discussions with participants, used local program office case records and even made phone calls and sent emails to individual case managers at the local level requesting that they track down and/or re-interview persons, if possible, seeking additional information.
New York implemented a comprehensive methodology that used both automated systems as well as manual examination of case records; its engagement report states:
In order to collect the additional information on the sampled WEIs, the Bureau of Data Management and Analysis (BDMA) constructed a data spreadsheet containing space for each of the required data elements, instructions and, where possible, prefilled the responses with data available from OTDA data systems, including hours in work activities and reasons for non‐participation. This spreadsheet was then provided to staff at the OTDA Bureau of Employment and Advancement Services (EAS) and the New York City Human Resources Administration Office of Data Reporting and Analysis (ODRA), who in turn examined systems and case record data to get a more full picture of the circumstances of the selected WEIs than could be determined from systems at the time of sample selection. In addition, BDMA performed a match of the sampled WEIs to the State Data Exchange (SDX) to determine if any were applicants for, or newly eligible for, the SSI disability program. Once gathered, these data were integrated into a single data set, then re‐examined by BEAS and BDMA staff for accuracy and consistency.
Total Number of Work Eligible Individuals
Table 4 shows the total number of WEIs reported by States for the month of March 2011. Throughout the United States, there were 1,276,633 WEIs 6, ranging from 111 in Wyoming to 477,614 in California.
Table 4 also provides a State-by-State breakdown of the number of WEIs in each of the following seven categories, while Table 5 shows the percent distribution of WEIs in each respective category: (1) WEIs meeting Federal participation rate standards (23.6 percent), (2) WEIs with zero reported hours of participation (52.3 percent), (3) WEIs with unreported countable hours (1.4 percent), (4) WEIs with insufficient hours (15.3 percent), (5) WEIs with hours beyond the statutory limit (2.3 percent), (6) WEIs with hours that do not meet verification standards (5.5 percent), and (7) WEIs with hours in non-countable activities (5.6 percent). An individual can appear in more than one category, so the sum (and percent) of individuals in the seven categories may exceed the total number of WEIs (100 percent). A summary analysis of each category is provided below.
| STATE | Total Number of WEIs | WEIs Meeting Federal Participation Rate Standards | WEIs with Zero Hours of Participation | WEIs with Unreported Countable Hours | WEIs with Insufficient Hours | WEIs with Uncountable Hours Due to Statutory Time Limits on Participation | WEIs with Hours that Do Not Meet the Verification Standards | WEIs with Hours in Non-Countable Activities |
|---|---|---|---|---|---|---|---|---|
UNITED STATES |
1,276,633 |
300,983 |
668,181 |
17,963 |
195,904 |
29,464 |
70,323 |
71,323 |
ALABAMA |
14,913 |
4,614 |
8,487 |
0 |
906 |
0 |
494 |
412 |
ALASKA |
2,179 |
1,469 |
711 |
0 |
0 |
0 |
0 |
0 |
ARIZONA |
13,429 |
2,501 |
10,139 |
0 |
1,291 |
0 |
10 |
789 |
ARKANSAS |
5,463 |
1,074 |
3,616 |
0 |
1,253 |
0 |
0 |
0 |
CALIFORNIA |
477,614 |
111,458 |
262,744 |
3,168 |
80,413 |
6,337 |
33,718 |
8,264 |
COLORADO |
8,624 |
2,385 |
4,648 |
0 |
1,350 |
131 |
0 |
716 |
CONNECTICUT |
9,580 |
4,066 |
3,918 |
0 |
1,562 |
225 |
0 |
385 |
DELAWARE |
2,374 |
617 |
1,274 |
241 |
282 |
0 |
134 |
0 |
DIST. OF COL. |
4,983 |
859 |
3,666 |
315 |
115 |
0 |
258 |
0 |
FLORIDA |
17,726 |
6,549 |
6,476 |
757 |
1,827 |
614 |
196 |
2,603 |
GEORGIA |
3,541 |
1,882 |
1,072 |
0 |
0 |
0 |
0 |
0 |
GUAM |
NR |
NR |
NR |
NR |
NR |
NR |
NR |
NR |
HAWAII |
5,500 |
3,117 |
1,436 |
0 |
2,383 |
80 |
36 |
53 |
IDAHO |
206 |
97 |
7 |
42 |
45 |
2 |
30 |
76 |
ILLINOIS |
13,624 |
6,285 |
7,339 |
0 |
1,062 |
0 |
0 |
0 |
INDIANA |
20,873 |
2,722 |
14,098 |
0 |
4,001 |
248 |
0 |
0 |
IOWA |
14,267 |
4,780 |
4,566 |
0 |
4,566 |
357 |
0 |
143 |
KANSAS |
12,430 |
2,404 |
4,285 |
0 |
3,123 |
312 |
566 |
3,128 |
KENTUCKY |
13,114 |
5,226 |
5,744 |
0 |
1,288 |
9 |
708 |
139 |
LOUISIANA |
3,460 |
1,385 |
1,434 |
0 |
374 |
0 |
0 |
457 |
MAINE |
15,042 |
2,205 |
8,760 |
0 |
2,738 |
397 |
3,026 |
13 |
MARYLAND |
15,770 |
6,182 |
7,423 |
0 |
1,833 |
222 |
0 |
0 |
MASSACHUSETTS |
31,667 |
3,004 |
23,279 |
0 |
2,334 |
0 |
2,953 |
96 |
MICHIGAN |
52,614 |
11,812 |
28,161 |
2,673 |
9,735 |
2,152 |
2,916 |
74 |
MINNESOTA |
14,266 |
4,298 |
5,460 |
0 |
4,150 |
215 |
0 |
859 |
MISSISSIPPI |
4,233 |
3,359 |
251 |
0 |
874 |
0 |
0 |
0 |
MISSOURI |
30,337 |
5,920 |
23,137 |
0 |
964 |
0 |
331 |
0 |
MONTANA |
2,450 |
525 |
1,118 |
0 |
732 |
0 |
0 |
275 |
NEBRASKA |
4,329 |
1,815 |
2,053 |
367 |
316 |
144 |
0 |
8 |
NEVADA |
6,755 |
2,140 |
2,071 |
350 |
1,274 |
49 |
289 |
968 |
NEW HAMPSHIRE |
3,958 |
1,469 |
2,255 |
167 |
234 |
0 |
0 |
0 |
NEW JERSEY |
25,309 |
4,594 |
17,361 |
561 |
1,806 |
1,012 |
88 |
0 |
NEW MEXICO |
15,381 |
6,258 |
7,484 |
0 |
1,621 |
18 |
0 |
0 |
NEW YORK |
98,783 |
22,211 |
43,976 |
746 |
15,481 |
4,012 |
5,624 |
11,703 |
NORTH CAROLINA |
5,381 |
2,559 |
1,580 |
0 |
445 |
0 |
99 |
194 |
NORTH DAKOTA |
968 |
512 |
265 |
0 |
157 |
7 |
13 |
14 |
OHIO |
51,370 |
9,340 |
29,836 |
0 |
7,524 |
1,816 |
1,297 |
2,335 |
OKLAHOMA |
3,567 |
1,158 |
1,468 |
0 |
666 |
101 |
0 |
372 |
OREGON |
30,263 |
2,399 |
9,361 |
0 |
3,284 |
2,082 |
0 |
14,391 |
PENNSYLVANIA |
37,895 |
7,967 |
17,463 |
414 |
5,298 |
765 |
3,466 |
6,437 |
PUERTO RICO |
E |
E |
E |
E |
E |
E |
E |
E |
RHODE ISLAND |
4,775 |
433 |
3,233 |
0 |
864 |
65 |
183 |
0 |
SOUTH CAROLINA |
7,009 |
2,349 |
3,825 |
22 |
663 |
43 |
213 |
0 |
SOUTH DAKOTA |
1,123 |
470 |
395 |
0 |
258 |
0 |
0 |
0 |
TENNESSEE |
53,317 |
9,168 |
32,858 |
0 |
11,290 |
3,524 |
0 |
0 |
TEXAS |
20,468 |
6,014 |
12,783 |
0 |
1,671 |
0 |
0 |
0 |
UTAH |
5,976 |
1,972 |
2,268 |
0 |
1,285 |
379 |
0 |
504 |
VERMONT |
2,360 |
753 |
696 |
43 |
258 |
76 |
9 |
715 |
VIRGIN ISLANDS |
439 |
46 |
354 |
0 |
39 |
0 |
0 |
0 |
VIRGINIA |
23,088 |
9,708 |
10,752 |
597 |
956 |
717 |
119 |
119 |
WASHINGTON |
43,802 |
2,712 |
18,765 |
0 |
7,131 |
3,258 |
13,547 |
8,217 |
WEST VIRGINIA |
5,921 |
1,696 |
3,437 |
0 |
553 |
95 |
0 |
155 |
WISCONSIN |
14,006 |
2,387 |
370 |
7,500 |
3,615 |
0 |
0 |
6,693 |
WYOMING |
111 |
58 |
23 |
0 |
14 |
0 |
0 |
16 |
| NR = Not reported. | ||||||||
| E= Excluded from this report due to data errors. | ||||||||
| Link to MS Excel data file (cra_report-to-congress.xls) | ||||||||
| STATE | Total Number of WEIs | WEIs Meeting Federal Participation Rate Standards | WEIs with Zero Hours of Participation | WEIs with Unreported Countable Hours | WEIs with Insufficient Hours | WEIs with Uncountable Hours Due to Statutory Time Limits on Participation | WEIs with Hours that Do Not Meet the Verification Standards | WEIs with Hours in Non-Countable Activities |
|---|---|---|---|---|---|---|---|---|
UNITED STATES |
1,276,633 |
23.6% |
52.3% |
1.4% |
15.3% |
2.3% |
5.5% |
5.6% |
ALABAMA |
14,913 |
30.9% |
56.9% |
0.0% |
6.1% |
0.0% |
3.3% |
2.8% |
ALASKA |
2,179 |
67.4% |
32.6% |
0.0% |
0.0% |
0.0% |
0.0% |
0.0% |
ARIZONA |
13,429 |
18.6% |
75.5% |
0.0% |
9.6% |
0.0% |
0.1% |
5.9% |
ARKANSAS |
5,463 |
19.7% |
66.2% |
0.0% |
22.9% |
0.0% |
0.0% |
0.0% |
CALIFORNIA |
477,614 |
23.3% |
55.0% |
0.7% |
16.8% |
1.3% |
7.1% |
1.7% |
COLORADO |
8,624 |
27.7% |
53.9% |
0.0% |
15.7% |
1.5% |
0.0% |
8.3% |
CONNECTICUT |
9,580 |
42.4% |
40.9% |
0.0% |
16.3% |
2.3% |
0.0% |
4.0% |
DELAWARE |
2,374 |
26.0% |
53.7% |
10.2% |
11.9% |
0.0% |
5.6% |
0.0% |
DIST. OF COL. |
4,983 |
17.2% |
73.6% |
6.3% |
2.3% |
0.0% |
5.2% |
0.0% |
FLORIDA |
17,726 |
36.9% |
36.5% |
4.3% |
10.3% |
3.5% |
1.1% |
14.7% |
GEORGIA |
3,541 |
53.1% |
30.3% |
0.0% |
0.0% |
0.0% |
0.0% |
0.0% |
GUAM |
NR |
NR |
NR |
NR |
NR |
NR |
NR |
NR |
HAWAII |
5,500 |
56.7% |
26.1% |
0.0% |
43.3% |
1.5% |
0.7% |
1.0% |
IDAHO |
206 |
47.1% |
3.4% |
20.4% |
21.8% |
1.0% |
14.6% |
36.9% |
ILLINOIS |
13,624 |
46.1% |
53.9% |
0.0% |
7.8% |
0.0% |
0.0% |
0.0% |
INDIANA |
20,873 |
13.0% |
67.5% |
0.0% |
19.2% |
1.2% |
0.0% |
0.0% |
IOWA |
14,267 |
33.5% |
32.0% |
0.0% |
32.0% |
2.5% |
0.0% |
1.0% |
KANSAS |
12,430 |
19.3% |
34.5% |
0.0% |
25.1% |
2.5% |
4.6% |
25.2% |
KENTUCKY |
13,114 |
39.9% |
43.8% |
0.0% |
9.8% |
0.1% |
5.4% |
1.1% |
LOUISIANA |
3,460 |
40.0% |
41.4% |
0.0% |
10.8% |
0.0% |
0.0% |
13.2% |
MAINE |
15,042 |
14.7% |
58.2% |
0.0% |
18.2% |
2.6% |
20.1% |
0.1% |
MARYLAND |
15,770 |
39.2% |
47.1% |
0.0% |
11.6% |
1.4% |
0.0% |
0.0% |
MASSACHUSETTS |
31,667 |
9.5% |
73.5% |
0.0% |
7.4% |
0.0% |
9.3% |
0.3% |
MICHIGAN |
52,614 |
22.5% |
53.5% |
5.1% |
18.5% |
4.1% |
5.5% |
0.1% |
MINNESOTA |
14,266 |
30.1% |
38.3% |
0.0% |
29.1% |
1.5% |
0.0% |
6.0% |
MISSISSIPPI |
4,233 |
79.4% |
5.9% |
0.0% |
20.6% |
0.0% |
0.0% |
0.0% |
MISSOURI |
30,337 |
19.5% |
76.3% |
0.0% |
3.2% |
0.0% |
1.1% |
0.0% |
MONTANA |
2,450 |
21.4% |
45.6% |
0.0% |
29.9% |
0.0% |
0.0% |
11.2% |
NEBRASKA |
4,329 |
41.9% |
47.4% |
8.5% |
7.3% |
3.3% |
0.0% |
0.2% |
NEVADA |
6,755 |
31.7% |
30.7% |
5.2% |
18.9% |
0.7% |
4.3% |
14.3% |
NEW HAMPSHIRE |
3,958 |
37.1% |
57.0% |
4.2% |
5.9% |
0.0% |
0.0% |
0.0% |
NEW JERSEY |
25,309 |
18.2% |
68.6% |
2.2% |
7.1% |
4.0% |
0.3% |
0.0% |
NEW MEXICO |
15,381 |
40.7% |
48.7% |
0.0% |
10.5% |
0.1% |
0.0% |
0.0% |
NEW YORK |
98,783 |
22.5% |
44.5% |
0.8% |
15.7% |
4.1% |
5.7% |
11.8% |
NORTH CAROLINA |
5,381 |
47.6% |
29.4% |
0.0% |
8.3% |
0.0% |
1.8% |
3.6% |
NORTH DAKOTA |
968 |
52.9% |
27.4% |
0.0% |
16.2% |
0.7% |
1.3% |
1.4% |
OHIO |
51,370 |
18.2% |
58.1% |
0.0% |
14.6% |
3.5% |
2.5% |
4.5% |
OKLAHOMA |
3,567 |
32.5% |
41.2% |
0.0% |
18.7% |
2.8% |
0.0% |
10.4% |
OREGON |
30,263 |
7.9% |
30.9% |
0.0% |
10.9% |
6.9% |
0.0% |
47.6% |
PENNSYLVANIA |
37,895 |
21.0% |
46.1% |
1.1% |
14.0% |
2.0% |
9.1% |
17.0% |
PUERTO RICO |
E |
E |
E |
E |
E |
E |
E |
E |
RHODE ISLAND |
4,775 |
9.1% |
67.7% |
0.0% |
18.1% |
1.4% |
3.8% |
0.0% |
SOUTH CAROLINA |
7,009 |
33.5% |
54.6% |
0.3% |
9.5% |
0.6% |
3.0% |
0.0% |
SOUTH DAKOTA |
1,123 |
41.9% |
35.2% |
0.0% |
23.0% |
0.0% |
0.0% |
0.0% |
TENNESSEE |
53,317 |
17.2% |
61.6% |
0.0% |
21.2% |
6.6% |
0.0% |
0.0% |
TEXAS |
20,468 |
29.4% |
62.5% |
0.0% |
8.2% |
0.0% |
0.0% |
0.0% |
UTAH |
5,976 |
33.0% |
38.0% |
0.0% |
21.5% |
6.3% |
0.0% |
8.4% |
VERMONT |
2,360 |
31.9% |
29.5% |
1.8% |
10.9% |
3.2% |
0.4% |
30.3% |
VIRGIN ISLANDS |
439 |
10.5% |
80.6% |
0.0% |
8.9% |
0.0% |
0.0% |
0.0% |
VIRGINIA |
23,088 |
42.0% |
46.6% |
2.6% |
4.1% |
3.1% |
0.5% |
0.5% |
WASHINGTON |
43,802 |
6.2% |
42.8% |
0.0% |
16.3% |
7.4% |
30.9% |
18.8% |
WEST VIRGINIA |
5,921 |
28.6% |
58.0% |
0.0% |
9.3% |
1.6% |
0.0% |
2.6% |
WISCONSIN |
14,006 |
17.0% |
2.6% |
53.5% |
25.8% |
0.0% |
0.0% |
47.8% |
WYOMING |
111 |
52.3% |
20.7% |
0.0% |
12.6% |
0.0% |
0.0% |
14.4% |
| NR = Not reported. | ||||||||
| E= Excluded from this report due to data errors. | ||||||||
| Link to MS Excel data file (cra_report-to-congress.xls) | ||||||||
WEIs Meeting Federal Participation Rate Standards
Nationally, there were 300,983 WEIs, or 23.6 percent of total WEIs, meeting the Federal participation rate standards (see Tables 4 and 5). These WEIs were engaged in a countable work activity for a sufficient number of hours for his or her family to count toward the work participation rate.
In fact, in most States, as described above, the percentage of WEIs counting toward the participation rate is likely to be lower than the official work participation rate. This is due to methodological differences between the calculations. For example, a family may include more than one WEI and the participation rate calculation excludes families with a WEI that can be disregarded, e.g., single parent families with a child under the age of one and those who are subject to a work-related sanction (for up to three months in a 12-month period). The WEIs in these “disregarded” families are included in the analysis here but not counted in the Federal participation rate calculation unless they are actually participating (with no more than one WEI counted per family). As New York observes in its engagement report, its data show:
. . . that 22.5 percent of the WEIs are engaged in federally‐allowable activities for sufficient hours to meet the core and total requirements. Again, because this is an individual analysis, this 22.5 percent should not be interpreted as the official participation rate for the month, since that measure is case based, and the denominator would exclude many cases with a WEI. In fact, New York’s participation rate for the first three months of the current FFY is estimated to be 32.2 percent.
California reported the largest number of WEIs meeting Federal participation rate standards, with 111,458 (23.3 percent of the State’s WEIs). Mississippi reported the highest percentage of its WEIs meeting Federal participation rate standards (79.4 percent), while Washington reported the lowest percentage (6.2 percent), though Washington’s rate may be underestimated because many hours in countable activities could not be verified by the deadline for this report.
WEIs with Zero Hours of Participation
Every State that submitted an ACF-812 form reported WEIs with zero hours of participation. Nationally, 668,181 WEIs (52.3 percent of all WEIs) had zero hours of participation in a countable or non-countable work activity. The data from States indicate that this represents a range of situations, including individuals who are non-compliant and are in the sanction process; individuals who the State or local agency has failed to engage; individuals who are not participating due to illness, disability, having a very young child, lack of needed child care; individuals not participating because they are in their first month of assistance or are awaiting the beginning of activity; and others. The reported data provides new detail on the share of those without hours of participation who fall into each of these, and other, categories.
Table 6 shows the number of WEIs with zero hours of participation broken down by principal reason; Table 7 expresses this number as a percent of WEIs with zero hours, while Table 8 shows the number as a percent of all WEIs. Below is a list of the status categories for WEIs with no reported hours in a countable or non-countable activity (listed in order of importance based on the percentage of WEIs falling into the respective category, except “other,” which is listed last), and a summary of the data reported by States:
- The WEI is: (1) in the process of being sanctioned (including fair hearing process); (2) is subject to a sanction for refusing to work (i.e., WEI’s assistance grant has been reduced) but is not disregarded due to the statutory limit on the disregard, or (3) subject to a non-work sanction:7
(130,264; 19.5 percent of WEIs with zero hours; and 10.2 percent of all WEIs). WEIs in this category have not been compliant with requirements, and the State has imposed or is in the process of imposing a sanction; however, this category does not include those WEIs who have been sanctioned, but disregarded from the participation rate (because they have not been sanctioned for more than three months in the preceding 12-month period). Forty-five States listed this as the status of an individual with zero hours, with up to 37.4 percent of WEIs in Arizona falling into this category. Although States can disregard individuals subject to a work-related sanction for up to three months in a 12-month period, there is often a due process and conciliation period that occurs prior to the imposition of a sanction as the State and the WEI work to resolve issues of non-compliance. Some States have recommended that the disregard for a sanction begin as soon as participants have been told that their benefits will be reduced or terminated due to noncompliance with work requirements because of the time it takes to actually impose a sanction. Florida explains:
For example, if a person refused to participate in work on February 25th and was given notice on March 1 that her assistance would be terminated, she would receive assistance on March 1 for the month of March. Due to ‘Adverse Action Notice’ requirements, the first opportunity the state would have to actually impose the penalty would be April 1. In March, the person would be subject to a penalty. She would have no incentive to cooperate with work requirements in March and the state would have taken all action possible to compel her participation. The state believes this was the situation contemplated by the statute and that the family should be excluded from the calculation of the participation rate in March.
This category also includes individuals who are not engaged and have been subject to a work-related sanction for more than three months, as well as those subject to any non-work-related sanction.
- The State or local agency failed to engage the WEI: (101,298 WEIs; 15.2 percent of WEIs with zero hours; and 7.9 percent of all WEIs). Thirty-three States reported that they failed to engage WEIs on their caseload. The highest percentages of WEIs not engaged were reported by the Virgin Islands, Rhode Island, and Missouri (65.1 percent, 43.0 percent, and 40.4 percent, respectively).
- The family was disregarded from the participation rate:8 (89,159 WEIs; 13.3 percent of WEIs with zero hours; and 7.0 percent of all WEIs). Forty States reported disregarding WEIs that were caring for a child under age one, were subject to a work-related sanction for no more than three months in the preceding 12-month period, or were participating in a Tribal work program. Montana reported the largest share of WEIs in this category with 32.5 percent of their WEIs being disregarded from the participation rate for one or more of these reasons. Nationally, data from monthly work participation reporting in FY 2009 indicate that approximately 82 percent of this group is comprised of single parents with children under age one; 16 percent are subject to sanction; and 2 percent are in Tribal work programs.
- The State exempted the WEI due to illness or disability: (82,080 WEIs; 12.3 percent of WEIs with zero hours; and 6.4 percent of all WEIs). Although individuals who are ill or disabled (and who do not receive Supplemental Security Disability Insurance [SSDI] or Social Security Income [SSI]) remain subject to Federal work participation requirements, 39 States exempt such WEIs from work requirements at the State level. In some cases, these individuals may be referred to SSDI or SSI.
- Other State exemptions, meaning State policies to exempt certain individuals from work requirements: (60,914 WEIs; 9.1 percent of WEIs with zero hours; and 4.8 percent of all WEIs). States are free to develop their own exemption policies, though a State’s participation rate is still calculated based on the number of WEIs in the State, even if they are exempt under State law, e.g. individuals over the age of 60, or living in a remote area. Twenty-two States listed this as a factor for non-participation, with up to 17.6 percent of WEIs in Massachusetts falling into this category.
- The State chose to exempt the WEI from work requirements because he or she is a single parent with a child under one, but is not disregarded from the work participation rate: (29,647 WEIs; 4.4 percent of WEIs with zero hours; and 2.3 percent of all WEIs). The disregard for a child under one for the Federal work participation rate is limited to 12 months lifetime per WEI. WEIs classified in this category may include those who are no longer eligible for this disregard due to this limit, or the State may simply have chosen not to use the disregard because it does not need to disregard the family to meet the work participation rate (thereby “saving up” months for which this disregard is in effect for a WEI). Fifteen States listed this as a factor for non-participation, with up to 23.2 percent of WEIs in Michigan falling into this category.
- The family is in its first month on assistance and no activity has been assigned: (29,351 WEIs; 4.4 percent of WEIs with zero hours; and 2.3 percent of all WEIs). During the first month of assistance, case managers often work with WEIs to develop an employment plan, including addressing issues related to child care, transportation, and other needs related to engaging in program activities or employment. Forty-two States listed this as a factor for
- non-participation, with up to 11.0 percent of WEIs in North Carolina falling into this category.
- The WEI has been assigned to an activity that has not yet begun: (18,723 WEIs; 2.8 percent of WEIs with zero hours; and 1.5 percent of all WEIs). This can occur when WEIs are between semesters at school or between activities, e.g., waiting for a work experience/community service position to be created after participating in job search/job readiness assistance. Thirty-one States listed this as a factor for non-participation, with up to 21.3 percent of WEIs in West Virginia falling into this category.
- The State exempted the WEI because he or she has a child under the age of six and needed child care is not available: (11,888 WEIs; 1.8 percent of WEIs with zero hours; and 0.9 percent of all WEIs). If an individual is a single custodial parent caring for a child under six, the State may not reduce or terminate assistance based on the parent’s refusal to engage in required work if he or she demonstrates an inability to obtain needed child care. Nine States also exempt these individuals from work participation rates at the State level, even though they remain in the calculation of the Federal work participation rate.
- The State exempted the WEI due to illness or disability of child or other family member: (10,346 WEIs; 1.5 percent of WEIs with zero hours; and 0.8 percent of all WEIs). Twenty-one States listed this as a factor for non-participation, with up to 4.0 percent of WEIs in Texas falling into this category.
- Good cause exemption, meaning that the WEI has demonstrated “good cause” (as defined by the State) to explain why he or she did not participate in an activity, e.g., lack of access to transportation, natural disaster: (3,943 WEIs; 0.6 percent of WEIs with zero hours; and 0.3 percent of all WEIs). Sixteen States listed this as a factor for non-participation, with up to 8.8 percent of WEIs in Oklahoma falling into this category.
- The WEI is exempted under a domestic violence waiver: (3,624 WEIs; 0.5 percent of WEIs with zero hours; and 0.3 percent of all WEIs).9 Sixteen States listed this as a factor for non-participation, with up to 6.7 percent of WEIs in New Jersey falling into this category.
- The WEI relocated from one jurisdiction within the State to another: (3,408 WEIs; 0.5 percent of WEIs with zero hours; and 0.3 percent of all WEIs). Twenty-two States listed this as a factor for non-participation, with up to 5.7 percent of WEIs in Maine falling into this category.
- The work activity reports were received too late for inclusion: (2,723 WEIs; 0.4 percent of WEIs with zero hours; and 0.2 percent of all WEIs). Nine States listed this as a factor for non-participation, with up to 9.1 percent of WEIs in South Carolina falling into this category.
- Other: (90,807 WEIs; 13.6 percent of WEIs with zero hours; and 7.4 percent of all WEIs). States also were able to list other reasons for WEI having zero hours of participation. Some additional explanations for why WEIs had zero hours of participation include that an assessment was scheduled in late March or is pending; the WEI was in his or her last month of assistance or reached time limit for assistance; the case was closed mid-month; the WEI missed his or her appointment to update employment plan; WEI did not attend a scheduled activity; or the WEI is a member of a two-parent family where the other WEI adult is meeting work requirements; and a lack of transportation or housing. In some cases, other reasons provided suggest a need to engage the WEI in an activity that will move his or her family towards self-sufficiency; these included that the WEI lacked vocational skills; the WEI lacked a high school diploma or GED; or the WEI reached the time limit for assistance receipt in a prior month.10
Some of the reasons listed for zero hours of participation demonstrate inconsistencies with data reporting. States listed explanations that were either provided as options on the ACF-812 form, or that indicate that the WEI did not have zero hours of participation in any activity. For example, some States specified that the WEI was caring for a dependent with a learning disability or that the WEI was in his or her first month of assistance to explain why the WEI had zero hours of participation, even though they had the option of selecting these explanations among the pre-populated options. States also frequently listed that a WEI was in pre-placement work support activities, or that the WEI was participating but not meeting minimum requirements; these WEIs should have been reported as engaged in a non-countable activity that moves that family toward self-sufficiency, and as having insufficient hours of participation, respectively.
| STATE | Number of WEIs with Zero Hours of Participation | Family's First Month on Assistance and No Activity Assigned | WEI Assigned to an Activity That Has Not Yet Begun | State/Local Agency Failed to Engage WEI | WEI Relocated from One Jurisdiction Within the State to Another | Work Activity Reports Received Too Late for Inclusion | Family Disregarded from Participation Rate | State Exempt, Single Custodial Parent with Child Under Age One, but Not Disregarded | WEI in Process of Being Sanction, or is Sanctioned and Not Disregarded | State Exempt, Single Custodial Parent with Child Under Age Six and No Child Care Available | State Exempt Due to Illness or Disability of the WEI | State Exempt Due to Illness or Disability of a Child or Other Family Member | State Exempt Under a Domestic Violence Waiver | Good Cause Exemption | Other State Exemptions | Other |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
UNITED STATES |
668,181 |
29,351 |
18,723 |
101,299 |
3,408 |
2,723 |
89,159 |
29,647 |
130,264 |
11,888 |
82,080 |
10,346 |
3,624 |
3,943 |
60,914 |
90,807 |
ALABAMA |
8,487 |
1,565 |
412 |
0 |
0 |
82 |
2,142 |
0 |
989 |
0 |
1,236 |
0 |
0 |
0 |
1,154 |
906 |
ALASKA |
711 |
118 |
0 |
142 |
24 |
0 |
0 |
0 |
355 |
0 |
71 |
0 |
0 |
0 |
0 |
0 |
ARIZONA |
10,139 |
0 |
0 |
0 |
0 |
1 |
0 |
501 |
5,025 |
0 |
748 |
147 |
282 |
0 |
0 |
3,435 |
ARKANSAS |
3,616 |
54 |
0 |
0 |
64 |
126 |
1,562 |
10 |
660 |
0 |
254 |
0 |
94 |
0 |
410 |
382 |
CALIFORNIA |
262,744 |
8,436 |
1,433 |
37,163 |
0 |
0 |
8,707 |
7,274 |
66,834 |
10,911 |
26,779 |
7,301 |
0 |
964 |
44,933 |
42,009 |
COLORADO |
4,648 |
41 |
0 |
0 |
187 |
0 |
963 |
0 |
92 |
20 |
748 |
0 |
0 |
0 |
0 |
2,597 |
CONNECTICUT |
3,918 |
186 |
601 |
618 |
0 |
0 |
1,688 |
0 |
300 |
0 |
0 |
0 |
0 |
0 |
526 |
0 |
DELAWARE |
1,274 |
0 |
0 |
27 |
0 |
0 |
617 |
0 |
268 |
0 |
282 |
0 |
13 |
0 |
0 |
67 |
DIST. OF COL. |
3,666 |
0 |
0 |
0 |
0 |
0 |
1,547 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
2,119 |
FLORIDA |
6,476 |
98 |
1,959 |
344 |
30 |
0 |
1,793 |
0 |
1,386 |
0 |
644 |
0 |
15 |
0 |
0 |
207 |
GEORGIA |
1,072 |
20 |
81 |
0 |
0 |
0 |
870 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
101 |
GUAM |
NR |
NR |
NR |
NR |
NR |
NR |
NR |
NR |
NR |
NR |
NR |
NR |
NR |
NR |
NR |
NR |
HAWAII |
1,436 |
10 |
198 |
1,002 |
1 |
0 |
0 |
1 |
125 |
0 |
66 |
3 |
0 |
30 |
0 |
0 |
IDAHO |
7 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
7 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
ILLINOIS |
7,339 |
643 |
34 |
2,208 |
0 |
0 |
1,717 |
0 |
402 |
0 |
0 |
245 |
0 |
0 |
1,184 |
905 |
INDIANA |
14,098 |
1,946 |
2,615 |
1,414 |
0 |
0 |
1,612 |
197 |
1,872 |
0 |
1,933 |
548 |
0 |
335 |
548 |
1,078 |
IOWA |
4,566 |
571 |
0 |
713 |
0 |
0 |
571 |
0 |
1,284 |
0 |
0 |
0 |
0 |
0 |
0 |
1,427 |
KANSAS |
4,285 |
322 |
197 |
1,075 |
173 |
0 |
950 |
0 |
773 |
0 |
435 |
0 |
58 |
0 |
0 |
303 |
KENTUCKY |
5,744 |
589 |
0 |
0 |
0 |
12 |
2,356 |
0 |
1,111 |
1 |
695 |
8 |
37 |
0 |
0 |
935 |
LOUISIANA |
1,434 |
101 |
23 |
860 |
3 |
0 |
313 |
0 |
0 |
0 |
49 |
0 |
1 |
84 |
0 |
0 |
MAINE |
8,760 |
564 |
468 |
386 |
855 |
0 |
257 |
0 |
547 |
3 |
2,572 |
261 |
4 |
45 |
100 |
2,698 |
MARYLAND |
7,423 |
0 |
0 |
597 |
155 |
0 |
3,443 |
0 |
1,368 |
0 |
1,087 |
0 |
0 |
155 |
288 |
331 |
MASSACHUSETTS |
23,279 |
308 |
96 |
285 |
0 |
0 |
5,096 |
0 |
5,949 |
0 |
5,674 |
0 |
0 |
0 |
5,585 |
285 |
MICHIGAN |
28,161 |
0 |
74 |
7,900 |
0 |
0 |
0 |
12,203 |
2,841 |
0 |
307 |
307 |
0 |
689 |
922 |
2,916 |
MINNESOTA |
5,460 |
573 |
72 |
72 |
0 |
0 |
2,649 |
72 |
1,074 |
0 |
0 |
0 |
0 |
0 |
143 |
807 |
MISSISSIPPI |
251 |
45 |
0 |
45 |
0 |
0 |
0 |
0 |
107 |
0 |
0 |
0 |
0 |
8 |
0 |
45 |
MISSOURI |
23,137 |
489 |
31 |
12,241 |
158 |
0 |
5,104 |
790 |
1,264 |
0 |
1,387 |
158 |
316 |
0 |
15 |
1,183 |
MONTANA |
1,118 |
0 |
0 |
0 |
0 |
0 |
796 |
0 |
254 |
1 |
67 |
0 |
0 |
0 |
0 |
0 |
NEBRASKA |
2,053 |
407 |
34 |
287 |
0 |
0 |
586 |
0 |
245 |
0 |
34 |
17 |
0 |
0 |
442 |
0 |
NEVADA |
2,071 |
436 |
0 |
162 |
16 |
0 |
0 |
49 |
571 |
0 |
468 |
16 |
0 |
32 |
0 |
321 |
NEW HAMPSHIRE |
2,255 |
95 |
0 |
0 |
0 |
0 |
711 |
0 |
239 |
0 |
908 |
7 |
29 |
0 |
160 |
106 |
NEW JERSEY |
17,361 |
1,778 |
1,058 |
3,217 |
0 |
420 |
3,151 |
150 |
999 |
0 |
1,176 |
0 |
1,704 |
0 |
1,184 |
2,524 |
NEW MEXICO |
7,484 |
155 |
0 |
2,412 |
0 |
0 |
2,361 |
0 |
1,144 |
0 |
917 |
0 |
0 |
0 |
477 |
18 |
NEW YORK |
43,976 |
789 |
3,576 |
5,055 |
162 |
0 |
8,283 |
0 |
14,481 |
0 |
10,774 |
316 |
539 |
0 |
0 |
0 |
NORTH CAROLINA |
1,580 |
592 |
988 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
NORTH DAKOTA |
265 |
6 |
3 |
12 |
1 |
0 |
93 |
0 |
100 |
0 |
19 |
0 |
1 |
1 |
1 |
28 |
OHIO |
29,836 |
1,297 |
259 |
11,416 |
778 |
0 |
3,373 |
0 |
5,708 |
778 |
0 |
0 |
0 |
0 |
0 |
6,227 |
OKLAHOMA |
1,468 |
24 |
159 |
0 |
8 |
0 |
561 |
0 |
342 |
0 |
60 |
1 |
0 |
313 |
0 |
0 |
OREGON |
9,361 |
2,239 |
636 |
1,145 |
0 |
0 |
0 |
5,341 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
PENNSYLVANIA |
17,463 |
382 |
64 |
3,996 |
414 |
0 |
6,657 |
0 |
1,416 |
0 |
1,531 |
28 |
414 |
303 |
14 |
2,243 |
PUERTO RICO |
E |
E |
E |
E |
E |
E |
E |
E |
E |
E |
E |
E |
E |
E |
E |
E |
RHODE ISLAND |
3,233 |
150 |
103 |
2,051 |
38 |
9 |
474 |
0 |
0 |
0 |
44 |
34 |
55 |
0 |
275 |
0 |
SOUTH CAROLINA |
3,825 |
132 |
256 |
448 |
65 |
639 |
1,196 |
0 |
256 |
0 |
128 |
0 |
0 |
43 |
0 |
664 |
SOUTH DAKOTA |
395 |
10 |
0 |
0 |
0 |
0 |
245 |
0 |
36 |
0 |
75 |
0 |
0 |
29 |
0 |
0 |
TENNESSEE |
32,858 |
361 |
1,448 |
897 |
10 |
975 |
9,646 |
590 |
2,686 |
0 |
8,008 |
5 |
0 |
0 |
2,354 |
5,879 |
TEXAS |
12,783 |
1,323 |
0 |
0 |
0 |
0 |
0 |
0 |
1,467 |
0 |
6,332 |
821 |
0 |
581 |
0 |
2,258 |
UTAH |
2,268 |
0 |
0 |
0 |
0 |
0 |
532 |
0 |
1,135 |
0 |
601 |
0 |
0 |
0 |
0 |
0 |
VERMONT |
696 |
243 |
9 |
69 |
34 |
0 |
43 |
17 |
9 |
0 |
56 |
0 |
0 |
0 |
0 |
217 |
VIRGIN ISLANDS |
354 |
20 |
0 |
286 |
0 |
0 |
0 |
0 |
29 |
0 |
16 |
3 |
0 |
0 |
0 |
0 |
VIRGINIA |
10,752 |
956 |
478 |
2,748 |
0 |
0 |
0 |
239 |
2,150 |
119 |
3,345 |
119 |
0 |
0 |
119 |
478 |
WASHINGTON |
18,765 |
1,272 |
93 |
0 |
224 |
459 |
5,034 |
2,213 |
2,250 |
39 |
2,082 |
1 |
62 |
331 |
0 |
4,705 |
WEST VIRGINIA |
3,437 |
0 |
1,263 |
0 |
0 |
0 |
1,193 |
0 |
111 |
16 |
472 |
0 |
0 |
0 |
80 |
302 |
WISCONSIN |
370 |
0 |
2 |
6 |
8 |
0 |
252 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
101 |
WYOMING |
23 |
5 |
0 |
0 |
0 |
0 |
15 |
0 |
3 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
| NR = Not reported. | ||||||||||||||||
| E= Excluded from this report due to data errors. | ||||||||||||||||
| Link to MS Excel data file (cra_report-to-congress.xls) | ||||||||||||||||
| STATE | Number of WEIs with Zero Hours of Participation | Family's First Month on Assistance and No Activity Assigned | WEI Assigned to an Activity That Has Not Yet Begun | State/Local Agency Failed to Engage WEI | WEI Relocated from One Jurisdiction Within the State to Another | Work Activity Reports Received Too Late for Inclusion | Family Disregarded from Participation Rate | State Exempt, Single Custodial Parent with Child Under Age One, but Not Disregarded | WEI in Process of Being Sanction, or is Sanctioned and Not Disregarded | State Exempt, Single Custodial Parent with Child Under Age Six and No Child Care Available | State Exempt Due to Illness or Disability of the WEI | State Exempt Due to Illness or Disability of a Child or Other Family Member | State Exempt Under a Domestic Violence Waiver | Good Cause Exemption | Other State Exemptions | Other |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
UNITED STATES |
668,181 |
4.4% |
2.8% |
15.2% |
0.5% |
0.4% |
13.3% |
4.4% |
19.5% |
1.8% |
12.3% |
1.5% |
0.5% |
0.6% |
9.1% |
13.6% |
ALABAMA |
8,487 |
18.4% |
4.9% |
0.0% |
0.0% |
1.0% |
25.2% |
0.0% |
11.7% |
0.0% |
14.6% |
0.0% |
0.0% |
0.0% |
13.6% |
10.7% |
ARIZONA |
711 |
16.6% |
0.0% |
20.0% |
3.4% |
0.0% |
0.0% |
0.0% |
49.9% |
0.0% |
10.0% |
0.0% |
0.0% |
0.0% |
0.0% |
0.0% |
ARJZONA |
10,139 |
0.0% |
0.0% |
0.0% |
0.0% |
0.0% |
0.0% |
4.9% |
49.6% |
0.0% |
7.4% |
1.4% |
2.8% |
0.0% |
0.0% |
33.9% |
ARKANSAS |
3,616 |
1.5% |
0.0% |
0.0% |
1.8% |
3.5% |
43.2% |
0.3% |
18.3% |
0.0% |
7.0% |
0.0% |
2.6% |
0.0% |
11.3% |
10.6% |
CALIFORNIA |
262,744 |
3.2% |
0.5% |
14.1% |
0.0% |
0.0% |
3.3% |
2.8% |
25.4% |
4.2% |
10.2% |
2.8% |
0.0% |
0.4% |
17.1% |
16.0% |
COLORADO |
4,648 |
0.9% |
0.0% |
0.0% |
4.0% |
0.0% |
20.7% |
0.0% |
2.0% |
0.4% |
16.1% |
0.0% |
0.0% |
0.0% |
0.0% |
55.9% |
CONNECTICUT |
3,918 |
4.7% |
15.3% |
15.8% |
0.0% |
0.0% |
43.1% |
0.0% |
7.7% |
0.0% |
0.0% |
0.0% |
0.0% |
0.0% |
13.4% |
0.0% |
DELAWARE |
1,274 |
0.0% |
0.0% |
2.1% |
0.0% |
0.0% |
48.4% |
0.0% |
21.0% |
0.0% |
22.1% |
0.0% |
1.0% |
0.0% |
0.0% |
5.3% |
DIST. OF COL. |
3,666 |
0.0% |
0.0% |
0.0% |
0.0% |
0.0% |
42.2% |
0.0% |
0.0% |
0.0% |
0.0% |
0.0% |
0.0% |
0.0% |
0.0% |
57.8% |
FLORIDA |
6,476 |
1.5% |
30.3% |
5.3% |
0.5% |
0.0% |
27.7% |
0.0% |
21.4% |
0.0% |
9.9% |
0.0% |
0.2% |
0.0% |
0.0% |
3.2% |
GEORGIA |
1,072 |
1.9% |
7.6% |
0.0% |
0.0% |
0.0% |
81.2% |
0.0% |
0.0% |
0.0% |
0.0% |
0.0% |
0.0% |
0.0% |
0.0% |
9.4% |
GUAM |
NR |
NR |
NR |
NR |
NR |
NR |
NR |
NR |
NR |
NR |
NR |
NR |
NR |
NR |
NR |
NR |
HAWAII |
1,436 |
0.7% |
13.8% |
69.8% |
0.1% |
0.0% |
0.0% |
0.1% |
8.7% |
0.0% |
4.6% |
0.2% |
0.0% |
2.1% |
0.0% |
0.0% |
IDAHO |
7 |
0.0% |
0.0% |
0.0% |
0.0% |
0.0% |
0.0% |
0.0% |
100.0% |
0.0% |
0.0% |
0.0% |
0.0% |
0.0% |
0.0% |
0.0% |
ILLINOIS |
7,339 |
8.8% |
0.5% |
30.1% |
0.0% |
0.0% |
23.4% |
0.0% |
5.5% |
0.0% |
0.0% |
3.3% |
0.0% |
0.0% |
16.1% |
12.3% |
INDIANA |
14,098 |
13.8% |
18.5% |
10.0% |
0.0% |
0.0% |
11.4% |
1.4% |
13.3% |
0.0% |
13.7% |
3.9% |
0.0% |
2.4% |
3.9% |
7.6% |
IOWA |
4,566 |
12.5% |
0.0% |
15.6% |
0.0% |
0.0% |
12.5% |
0.0% |
28.1% |
0.0% |
0.0% |
0.0% |
0.0% |
0.0% |
0.0% |
31.3% |
KANSAS |
4,285 |
7.5% |
4.6% |
25.1% |
4.0% |
0.0% |
22.2% |
0.0% |
18.0% |
0.0% |
10.2% |
0.0% |
1.4% |
0.0% |
0.0% |
7.1% |
KENTUCKY |
5,744 |
10.3% |
0.0% |
0.0% |
0.0% |
0.2% |
41.0% |
0.0% |
19.3% |
0.0% |
12.1% |
0.1% |
0.6% |
0.0% |
0.0% |
16.3% |
LOUISIANA |
1,434 |
7.0% |
1.6% |
60.0% |
0.2% |
0.0% |
21.8% |
0.0% |
0.0% |
0.0% |
3.4% |
0.0% |
0.1% |
5.9% |
0.0% |
0.0% |
MAINE |
8,760 |
6.4% |
5.3% |
4.4% |
9.8% |
0.0% |
2.9% |
0.0% |
6.2% |
0.0% |
29.4% |
3.0% |
0.0% |
0.5% |
1.1% |
30.8% |
MARYLAND |
7,423 |
0.0% |
0.0% |
8.0% |
2.1% |
0.0% |
46.4% |
0.0% |
18.4% |
0.0% |
14.6% |
0.0% |
0.0% |
2.1% |
3.9% |
4.5% |
MASSACHUSETTS |
23,279 |
1.3% |
0.4% |
1.2% |
0.0% |
0.0% |
21.9% |
0.0% |
25.6% |
0.0% |
24.4% |
0.0% |
0.0% |
0.0% |
24.0% |
1.2% |
MICHIGAN |
28,161 |
0.0% |
0.3% |
28.1% |
0.0% |
0.0% |
0.0% |
43.3% |
10.1% |
0.0% |
1.1% |
1.1% |
0.0% |
2.4% |
3.3% |
10.4% |
MINNESOTA |
5,460 |
10.5% |
1.3% |
1.3% |
0.0% |
0.0% |
48.5% |
1.3% |
19.7% |
0.0% |
0.0% |
0.0% |
0.0% |
0.0% |
2.6% |
14.8% |
MISSISSIPPI |
251 |
17.9% |
0.0% |
17.9% |
0.0% |
0.0% |
0.0% |
0.0% |
42.6% |
0.0% |
0.0% |
0.0% |
0.0% |
3.2% |
0.0% |
17.9% |
MISSOURI |
23,137 |
2.1% |
0.1% |
52.9% |
0.7% |
0.0% |
22.1% |
3.4% |
5.5% |
0.0% |
6.0% |
0.7% |
1.4% |
0.0% |
0.1% |
5.1% |
MONTANA |
1,118 |
0.0% |
0.0% |
0.0% |
0.0% |
0.0% |
71.2% |
0.0% |
22.7% |
0.1% |
6.0% |
0.0% |
0.0% |
0.0% |
0.0% |
0.0% |
NEBRASKA |
2,053 |
19.8% |
1.7% |
14.0% |
0.0% |
0.0% |
28.5% |
0.0% |
11.9% |
0.0% |
1.7% |
0.8% |
0.0% |
0.0% |
21.5% |
0.0% |
NEVADA |
2,071 |
21.1% |
0.0% |
7.8% |
0.8% |
0.0% |
0.0% |
2.4% |
27.6% |
0.0% |
22.6% |
0.8% |
0.0% |
1.5% |
0.0% |
15.5% |
NEW HAMPSHIRE |
2,255 |
4.2% |
0.0% |
0.0% |
0.0% |
0.0% |
31.5% |
0.0% |
10.6% |
0.0% |
40.3% |
0.3% |
1.3% |
0.0% |
7.1% |
4.7% |
NEW JERSEY |
17,361 |
10.2% |
6.1% |
18.5% |
0.0% |
2.4% |
18.1% |
0.9% |
5.8% |
0.0% |
6.8% |
0.0% |
9.8% |
0.0% |
6.8% |
14.5% |
NEW MEXICO |
7,484 |
2.1% |
0.0% |
32.2% |
0.0% |
0.0% |
31.5% |
0.0% |
15.3% |
0.0% |
12.3% |
0.0% |
0.0% |
0.0% |
6.4% |
0.2% |
NEW YORK |
43,976 |
1.8% |
8.1% |
11.5% |
0.4% |
0.0% |
18.8% |
0.0% |
32.9% |
0.0% |
24.5% |
0.7% |
1.2% |
0.0% |
0.0% |
0.0% |
NORTH CAROLINA |
1,580 |
37.5% |
62.5% |
0.0% |
0.0% |
0.0% |
0.0% |
0.0% |
0.0% |
0.0% |
0.0% |
0.0% |
0.0% |
0.0% |
0.0% |
0.0% |
NORTH DAKOTA |
265 |
2.3% |
1.1% |
4.5% |
0.4% |
0.0% |
35.1% |
0.0% |
37.7% |
0.0% |
7.2% |
0.0% |
0.4% |
0.4% |
0.4% |
10.6% |
OHIO |
29,836 |
4.3% |
0.9% |
38.3% |
2.6% |
0.0% |
11.3% |
0.0% |
19.1% |
2.6% |
0.0% |
0.0% |
0.0% |
0.0% |
0.0% |
20.9% |
OKLAHOMA |
1,468 |
1.6% |
10.8% |
0.0% |
0.5% |
0.0% |
38.2% |
0.0% |
23.3% |
0.0% |
4.1% |
0.1% |
0.0% |
21.3% |
0.0% |
0.0% |
OREGON |
9,361 |
23.9% |
6.8% |
12.2% |
0.0% |
0.0% |
0.0% |
57.1% |
0.0% |
0.0% |
0.0% |
0.0% |
0.0% |
0.0% |
0.0% |
0.0% |
PENNSYLVANIA |
17,463 |
2.2% |
0.4% |
22.9% |
2.4% |
0.0% |
38.1% |
0.0% |
8.1% |
0.0% |
8.8% |
0.2% |
2.4% |
1.7% |
0.1% |
12.8% |
PUERTO RICO |
E |
E |
E |
E |
E |
E |
E |
E |
E |
E |
E |
E |
E |
E |
E |
E |
RHODE ISLAND |
3,233 |
4.6% |
3.2% |
63.4% |
1.2% |
0.0% |
14.7% |
0.0% |
0.0% |
0.0% |
1.4% |
1.1% |
1.7% |
0.0% |
8.5% |
0.0% |
SOUTH CAROLINA |
3,825 |
3.5% |
6.7% |
11.7% |
1.7% |
16.7% |
31.3% |
0.0% |
6.7% |
0.0% |
3.3% |
0.0% |
0.0% |
1.1% |
0.0% |
17.4% |
SOUTH DAKOTA |
395 |
2.5% |
0.0% |
0.0% |
0.0% |
0.0% |
62.0% |
0.0% |
9.1% |
0.0% |
19.0% |
0.0% |
0.0% |
7.3% |
0.0% |
0.0% |
TENNESSEE |
32,858 |
1.1% |
4.4% |
2.7% |
0.0% |
3.0% |
29.4% |
1.8% |
8.2% |
0.0% |
24.4% |
0.0% |
0.0% |
0.0% |
7.2% |
17.9% |
TEXAS |
12,783 |
10.3% |
0.0% |
0.0% |
0.0% |
0.0% |
0.0% |
0.0% |
11.5% |
0.0% |
49.5% |
6.4% |
0.0% |
4.5% |
0.0% |
17.7% |
UTAH |
2,268 |
0.0% |
0.0% |
0.0% |
0.0% |
0.0% |
23.5% |
0.0% |
50.0% |
0.0% |
26.5% |
0.0% |
0.0% |
0.0% |
0.0% |
0.0% |
VERMONT |
696 |
34.9% |
1.3% |
9.9% |
4.9% |
0.0% |
6.2% |
2.4% |
1.3% |
0.0% |
8.0% |
0.0% |
0.0% |
0.0% |
0.0% |
31.2% |
VIRGIN ISLANDS |
354 |
5.6% |
0.0% |
80.8% |
0.0% |
0.0% |
0.0% |
0.0% |
8.2% |
0.0% |
4.5% |
0.8% |
0.0% |
0.0% |
0.0% |
0.0% |
VIRGINIA |
10,752 |
8.9% |
4.4% |
25.6% |
0.0% |
0.0% |
0.0% |
2.2% |
20.0% |
1.1% |
31.1% |
1.1% |
0.0% |
0.0% |
1.1% |
4.4% |
WASHINGTON |
18,765 |
6.8% |
0.5% |
0.0% |
1.2% |
2.4% |
26.8% |
11.8% |
12.0% |
0.2% |
11.1% |
0.0% |
0.3% |
1.8% |
0.0% |
25.1% |
WEST VIRGINIA |
3,437 |
0.0% |
36.7% |
0.0% |
0.0% |
0.0% |
34.7% |
0.0% |
3.2% |
0.5% |
13.7% |
0.0% |
0.0% |
0.0% |
2.3% |
8.8% |
WISCONSIN |
370 |
0.0% |
0.5% |
1.6% |
2.2% |
0.0% |
68.1% |
0.0% |
0.0% |
0.0% |
0.0% |
0.0% |
0.0% |
0.0% |
0.0% |
27.3% |
WYOMING |
23 |
21.7% |
0.0% |
0.0% |
0.0% |
0.0% |
65.2% |
0.0% |
13.0% |
0.0% |
0.0% |
0.0% |
0.0% |
0.0% |
0.0% |
0.0% |
| NR = Not reported. | ||||||||||||||||
| E= Excluded from this report due to data errors. | ||||||||||||||||
| Link to MS Excel data file (cra_report-to-congress.xls) | ||||||||||||||||
| STATE | Number of WEIs with Zero Hours of Participation | Family's First Month on Assistance and No Activity Assigned | WEI Assigned to an Activity That Has Not Yet Begun | State/Local Agency Failed to Engage WEI | WEI Relocated from One Jurisdiction Within the State to Another | Work Activity Reports Received Too Late for Inclusion | Family Disregarded from Participation Rate | State Exempt, Single Custodial Parent with Child Under Age One, but Not Disregarded | WEI in Process of Being Sanction, or is Sanctioned and Not Disregarded | State Exempt, Single Custodial Parent with Child Under Age Six and No Child Care Available | State Exempt Due to Illness or Disability of the WEI | State Exempt Due to Illness or Disability of a Child or Other Family Member | State Exempt Under a Domestic Violence Waiver | Good Cause Exemption | Other State Exemptions | Other |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
UNITED STATES |
52.3% |
2.3% |
1.5% |
7.9% |
0.3% |
0.2% |
7.0% |
2.3% |
10.2% |
0.9% |
6.4% |
0.8% |
0.3% |
0.3% |
4.8% |
7.1% |
ALABAMA |
56.9% |
10.5% |
2.8% |
0.0% |
0.0% |
0.5% |
14.4% |
0.0% |
6.6% |
0.0% |
8.3% |
0.0% |
0.0% |
0.0% |
7.7% |
6.1% |
ALASKA |
32.6% |
5.4% |
0.0% |
6.5% |
1.1% |
0.0% |
0.0% |
0.0% |
16.3% |
0.0% |
3.3% |
0.0% |
0.0% |
0.0% |
0.0% |
0.0% |
ARIZONA |
75.5% |
0.0% |
0.0% |
0.0% |
0.0% |
0.0% |
0.0% |
3.7% |
37.4% |
0.0% |
5.6% |
1.1% |
2.1% |
0.0% |
0.0% |
25.6% |
ARKANSAS |
66.2% |
1.0% |
0.0% |
0.0% |
1.2% |
2.3% |
28.6% |
0.2% |
12.1% |
0.0% |
4.6% |
0.0% |
1.7% |
0.0% |
7.5% |
7.0% |
CALIFORNIA |
55.0% |
1.8% |
0.3% |
7.8% |
0.0% |
0.0% |
1.8% |
1.5% |
14.0% |
2.3% |
5.6% |
1.5% |
0.0% |
0.2% |
9.4% |
8.8% |
COLORADO |
53.9% |
0.5% |
0.0% |
0.0% |
2.2% |
0.0% |
11.2% |
0.0% |
1.1% |
0.2% |
8.7% |
0.0% |
0.0% |
0.0% |
0.0% |
30.1% |
CONNECTICUT |
40.9% |
1.9% |
6.3% |
6.5% |
0.0% |
0.0% |
17.6% |
0.0% |
3.1% |
0.0% |
0.0% |
0.0% |
0.0% |
0.0% |
5.5% |
0.0% |
DELAWARE |
53.7% |
0.0% |
0.0% |
1.1% |
0.0% |
0.0% |
26.0% |
0.0% |
11.3% |
0.0% |
11.9% |
0.0% |
0.5% |
0.0% |
0.0% |
2.8% |
DIST. OF COL. |
73.6% |
0.0% |
0.0% |
0.0% |
0.0% |
0.0% |
31.0% |
0.0% |
0.0% |
0.0% |
0.0% |
0.0% |
0.0% |
0.0% |
0.0% |
42.5% |
FLORIDA |
36.5% |
0.6% |
11.1% |
1.9% |
0.2% |
0.0% |
10.1% |
0.0% |
7.8% |
0.0% |
3.6% |
0.0% |
0.1% |
0.0% |
0.0% |
1.2% |
GEORGIA |
30.3% |
0.6% |
2.3% |
0.0% |
0.0% |
0.0% |
24.6% |
0.0% |
0.0% |
0.0% |
0.0% |
0.0% |
0.0% |
0.0% |
0.0% |
2.9% |
GUAM |
NR |
NR |
NR |
NR |
NR |
NR |
NR |
NR |
NR |
NR |
NR |
NR |
NR |
NR |
NR |
NR |
HAWAII |
26.1% |
0.2% |
3.6% |
18.2% |
0.0% |
0.0% |
0.0% |
0.0% |
2.3% |
0.0% |
1.2% |
0.1% |
0.0% |
0.5% |
0.0% |
0.0% |
IDAHO |
3.4% |
0.0% |
0.0% |
0.0% |
0.0% |
0.0% |
0.0% |
0.0% |
3.4% |
0.0% |
0.0% |
0.0% |
0.0% |
0.0% |
0.0% |
0.0% |
ILLINOIS |
53.9% |
4.7% |
0.2% |
16.2% |
0.0% |
0.0% |
12.6% |
0.0% |
3.0% |
0.0% |
0.0% |
1.8% |
0.0% |
0.0% |
8.7% |
6.6% |
INDIANA |
67.5% |
9.3% |
12.5% |
6.8% |
0.0% |
0.0% |
7.7% |
0.9% |
9.0% |
0.0% |
9.3% |
2.6% |
0.0% |
1.6% |
2.6% |
5.2% |
IOWA |
32.0% |
4.0% |
0.0% |
5.0% |
0.0% |
0.0% |
4.0% |
0.0% |
9.0% |
0.0% |
0.0% |
0.0% |
0.0% |
0.0% |
0.0% |
10.0% |
KANSAS |
34.5% |
2.6% |
1.6% |
8.6% |
1.4% |
0.0% |
7.6% |
0.0% |
6.2% |
0.0% |
3.5% |
0.0% |
0.5% |
0.0% |
0.0% |
2.4% |
KENTUCKY |
43.8% |
4.5% |
0.0% |
0.0% |
0.0% |
0.1% |
18.0% |
0.0% |
8.5% |
0.0% |
5.3% |
0.1% |
0.3% |
0.0% |
0.0% |
7.1% |
LOUISIANA |
41.4% |
2.9% |
0.7% |
24.9% |
0.1% |
0.0% |
9.0% |
0.0% |
0.0% |
0.0% |
1.4% |
0.0% |
0.0% |
2.4% |
0.0% |
0.0% |
MAINE |
58.2% |
3.7% |
3.1% |
2.6% |
5.7% |
0.0% |
1.7% |
0.0% |
3.6% |
0.0% |
17.1% |
1.7% |
0.0% |
0.3% |
0.7% |
17.9% |
MARYLAND |
47.1% |
0.0% |
0.0% |
3.8% |
1.0% |
0.0% |
21.8% |
0.0% |
8.7% |
0.0% |
6.9% |
0.0% |
0.0% |
1.0% |
1.8% |
2.1% |
MASSACHUSETTS |
73.5% |
1.0% |
0.3% |
0.9% |
0.0% |
0.0% |
16.1% |
0.0% |
18.8% |
0.0% |
17.9% |
0.0% |
0.0% |
0.0% |
17.6% |
0.9% |
MICHIGAN |
53.5% |
0.0% |
0.1% |
15.0% |
0.0% |
0.0% |
0.0% |
23.2% |
5.4% |
0.0% |
0.6% |
0.6% |
0.0% |
1.3% |
1.8% |
5.5% |
MINNESOTA |
38.3% |
4.0% |
0.5% |
0.5% |
0.0% |
0.0% |
18.6% |
0.5% |
7.5% |
0.0% |
0.0% |
0.0% |
0.0% |
0.0% |
1.0% |
5.7% |
MISSISSIPPI |
5.9% |
1.1% |
0.0% |
1.1% |
0.0% |
0.0% |
0.0% |
0.0% |
2.5% |
0.0% |
0.0% |
0.0% |
0.0% |
0.2% |
0.0% |
1.1% |
MISSOURI |
76.3% |
1.6% |
0.1% |
40.4% |
0.5% |
0.0% |
16.8% |
2.6% |
4.2% |
0.0% |
4.6% |
0.5% |
1.0% |
0.0% |
0.0% |
3.9% |
MONTANA |
45.6% |
0.0% |
0.0% |
0.0% |
0.0% |
0.0% |
32.5% |
0.0% |
10.4% |
0.0% |
2.7% |
0.0% |
0.0% |
0.0% |
0.0% |
0.0% |
NEBRASKA |
47.4% |
9.4% |
0.8% |
6.6% |
0.0% |
0.0% |
13.5% |
0.0% |
5.7% |
0.0% |
0.8% |
0.4% |
0.0% |
0.0% |
10.2% |
0.0% |
NEVADA |
30.7% |
6.5% |
0.0% |
2.4% |
0.2% |
0.0% |
0.0% |
0.7% |
8.5% |
0.0% |
6.9% |
0.2% |
0.0% |
0.5% |
0.0% |
4.8% |
NEW HAMPSHIRE |
57.0% |
2.4% |
0.0% |
0.0% |
0.0% |
0.0% |
18.0% |
0.0% |
6.0% |
0.0% |
22.9% |
0.2% |
0.7% |
0.0% |
4.0% |
2.7% |
NEW JERSEY |
68.6% |
7.0% |
4.2% |
12.7% |
0.0% |
1.7% |
12.5% |
0.6% |
3.9% |
0.0% |
4.6% |
0.0% |
6.7% |
0.0% |
4.7% |
10.0% |
NEW MEXICO |
48.7% |
1.0% |
0.0% |
15.7% |
0.0% |
0.0% |
15.4% |
0.0% |
7.4% |
0.0% |
6.0% |
0.0% |
0.0% |
0.0% |
3.1% |
0.1% |
NEW YORK |
44.5% |
0.8% |
3.6% |
5.1% |
0.2% |
0.0% |
8.4% |
0.0% |
14.7% |
0.0% |
10.9% |
0.3% |
0.5% |
0.0% |
0.0% |
0.0% |
NORTH CAROLINA |
29.4% |
11.0% |
18.4% |
0.0% |
0.0% |
0.0% |
0.0% |
0.0% |
0.0% |
0.0% |
0.0% |
0.0% |
0.0% |
0.0% |
0.0% |
0.0% |
NORTH DAKOTA |
27.4% |
0.6% |
0.3% |
1.2% |
0.1% |
0.0% |
9.6% |
0.0% |
10.3% |
0.0% |
2.0% |
0.0% |
0.1% |
0.1% |
0.1% |
2.9% |
OHIO |
58.1% |
2.5% |
0.5% |
22.2% |
1.5% |
0.0% |
6.6% |
0.0% |
11.1% |
1.5% |
0.0% |
0.0% |
0.0% |
0.0% |
0.0% |
12.1% |
OKLAHOMA |
41.2% |
0.7% |
4.5% |
0.0% |
0.2% |
0.0% |
15.7% |
0.0% |
9.6% |
0.0% |
1.7% |
0.0% |
0.0% |
8.8% |
0.0% |
0.0% |
OREGON |
30.9% |
7.4% |
2.1% |
3.8% |
0.0% |
0.0% |
0.0% |
17.6% |
0.0% |
0.0% |
0.0% |
0.0% |
0.0% |
0.0% |
0.0% |
0.0% |
PENNSYLVANIA |
46.1% |
1.0% |
0.2% |
10.5% |
1.1% |
0.0% |
17.6% |
0.0% |
3.7% |
0.0% |
4.0% |
0.1% |
1.1% |
0.8% |
0.0% |
5.9% |
PUERTO RICO |
E |
E |
E |
E |
E |
E |
E |
E |
E |
E |
E |
E |
E |
E |
E |
E |
RHODE ISLAND |
67.7% |
3.1% |
2.2% |
43.0% |
0.8% |
0.2% |
9.9% |
0.0% |
0.0% |
0.0% |
0.9% |
0.7% |
1.2% |
0.0% |
5.8% |
0.0% |
SOUTH CAROLINA |
54.6% |
1.9% |
3.7% |
6.4% |
0.9% |
9.1% |
17.1% |
0.0% |
3.7% |
0.0% |
1.8% |
0.0% |
0.0% |
0.6% |
0.0% |
9.5% |
SOUTH DAKOTA |
35.2% |
0.9% |
0.0% |
0.0% |
0.0% |
0.0% |
21.8% |
0.0% |
3.2% |
0.0% |
6.7% |
0.0% |
0.0% |
2.6% |
0.0% |
0.0% |
TENNESSEE |
61.6% |
0.7% |
2.7% |
1.7% |
0.0% |
1.8% |
18.1% |
1.1% |
5.0% |
0.0% |
15.0% |
0.0% |
0.0% |
0.0% |
4.4% |
11.0% |
TEXAS |
62.5% |
6.5% |
0.0% |
0.0% |
0.0% |
0.0% |
0.0% |
0.0% |
7.2% |
0.0% |
30.9% |
4.0% |
0.0% |
2.8% |
0.0% |
11.0% |
UTAH |
38.0% |
0.0% |
0.0% |
0.0% |
0.0% |
0.0% |
8.9% |
0.0% |
19.0% |
0.0% |
10.1% |
0.0% |
0.0% |
0.0% |
0.0% |
0.0% |
VERMONT |
29.5% |
10.3% |
0.4% |
2.9% |
1.4% |
0.0% |
1.8% |
0.7% |
0.4% |
0.0% |
2.4% |
0.0% |
0.0% |
0.0% |
0.0% |
9.2% |
VIRGIN ISLANDS |
80.6% |
4.6% |
0.0% |
65.1% |
0.0% |
0.0% |
0.0% |
0.0% |
6.6% |
0.0% |
3.6% |
0.7% |
0.0% |
0.0% |
0.0% |
0.0% |
VIRGINIA |
46.6% |
4.1% |
2.1% |
11.9% |
0.0% |
0.0% |
0.0% |
1.0% |
9.3% |
0.5% |
14.5% |
0.5% |
0.0% |
0.0% |
0.5% |
2.1% |
WASHINGTON |
42.8% |
2.9% |
0.2% |
0.0% |
0.5% |
1.0% |
11.5% |
5.1% |
5.1% |
0.1% |
4.8% |
0.0% |
0.1% |
0.8% |
0.0% |
10.7% |
WEST VIRGINIA |
58.0% |
0.0% |
21.3% |
0.0% |
0.0% |
0.0% |
20.1% |
0.0% |
1.9% |
0.3% |
8.0% |
0.0% |
0.0% |
0.0% |
1.4% |
5.1% |
WISCONSIN |
2.6% |
0.0% |
0.0% |
0.0% |
0.1% |
0.0% |
1.8% |
0.0% |
0.0% |
0.0% |
0.0% |
0.0% |
0.0% |
0.0% |
0.0% |
0.7% |
WYOMING |
20.7% |
4.5% |
0.0% |
0.0% |
0.0% |
0.0% |
13.5% |
0.0% |
2.7% |
0.0% |
0.0% |
0.0% |
0.0% |
0.0% |
0.0% |
0.0% |
| NR = Not reported. | ||||||||||||||||
| E= Excluded from this report due to data errors. | ||||||||||||||||
| Link to MS Excel data file (cra_report-to-congress.xls) | ||||||||||||||||
WEIs with Unreported Countable Hours
Under limited circumstances, a WEI may have verified hours of participation in a work activity that could count toward the work participation rate, but which the State chose not to report on the TANF (ACF-199) or SSP-MOE (ACF-209) data reports. This may occur, for example, because a family can only count toward participation rates through engagement in vocational educational training for 12 months in a lifetime, and because job search/job readiness assistance can only count for six weeks in a year or twelve weeks if the State meet’s the definition of “needy state.” Accordingly, if the State does not “need” the individual’s hours in order to meet participation rates, the State might choose not to report them in order to “save” hours in one of these time-limited activities. And, for example, if the individual only has 15 hours of engagement in vocational educational training and lacks sufficient hours to count toward the rates, there is no advantage to the State in reporting the hours; while reporting the hours will not help the State meet the rates, it would “use up” one of the months in which the individual could count through participation in vocational educational training.
Table 9 summarizes the total number of WEIs with unreported countable hours of participation, broken down by the number of hours in each countable work activity that were not reported by the State (see Appendix III for definitions of work activities). Sixteen States reported that there were 17,963 WEIs (1.4 percent of all WEIs) with unreported countable hours of participation, totaling 568,454 hours of unreported participation.
Wisconsin reported both the largest number and the highest percentage of WEIs with unreported countable hours of participation (7,500 WEIs, or 53.5 percent of the State’s total WEIs) among States reporting in this category. (See Table 5 for percentages).
The total number of unreported hours of participation in countable work activities was greatest in job search/job readiness assistance (425,142 hours) and in vocational educational training (59,062hours). This is not surprising, because these are the two time-limited activities for State participation rate purposes. On average, States reported that 32 hours of participation in the month per WEI with such hours went unreported.
As Alaska’s engagement report explains, participation in some activities is “strategically underreported in order to maximize participation rates when activities are limited in the number of weeks or months that may be counted”:
States are allowed to “under-report” hours that do not contribute to a family meeting the participation standard. In some cases this is done strategically to conserve the number of reportable hours of weeks of activity for an individual case until a week during which that activity contributes to them meeting the participation standard.
The State goes on to explain that it does not report unneeded hours in job search/job readiness assistance and vocational educational training when the hours are either not needed or not sufficient to help the individual meet the work rate. It provides the following example:
Example: A parent who is working 30 verified hours is also looking for a new job with higher wages and spends 5 hours a week in Work Search. Work Search would not be reported for that week as the parent already met the participation standards with their verified countable activity of Unsubsidized Employment.
Other States’ reports also indicated that they apply this strategy to “preserve” hours for activities that are time-limited.
Nevertheless, these data also suggest that strategic underreporting is a relatively small phenomenon. As described in the next section, States reported a total of nearly 2.8 million hours of participation in these two activities (see Table 10), even though the individual’s hours of participation were insufficient to be counted in the work participation rates. If these States did not report these hours, there would be less risk that they would run into situations where they cannot count hours because they exceed the statutory limits (see Table 11).
| STATE | WEIs with Unreported Hours of Participation | Unsubsidized Employment | Subsidized Private Employment | Subsidized Public Employment | Work Experience | On-The-Job Training | Job Search/Job Readiness Assistance | Community Service | Vocational Educational Training | Job Skills Training | Education Directly Related to Employment | Satisfactory School Attendance | Providing Child Care to a Participant in a Community Service Program | Total Unreported Hours in Countable Work Activities | Average Unreported, Countable Hours Per WEI With Unreported Hours |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
UNITED STATES |
17,963 |
73,209 |
0 |
0 |
326 |
0 |
425,142 |
3,181 |
59,062 |
0 |
0 |
7,534 |
0 |
568,454 |
31.65 |
ALABAMA |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0.00 |
ALASKA |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0.00 |
ARIZONA |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0.00 |
ARKANSAS |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0.00 |
CALIFORNIA |
3,168 |
0 |
0 |
0 |
0 |
0 |
6,337 |
0 |
0 |
0 |
0 |
0 |
0 |
6,337 |
2.00 |
COLORADO |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0.00 |
CONNECTICUT |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0.00 |
DELAWARE |
241 |
0 |
0 |
0 |
0 |
0 |
8,288 |
0 |
0 |
0 |
0 |
0 |
0 |
8,288 |
34.39 |
DIST. OF COL. |
315 |
0 |
0 |
0 |
0 |
0 |
3,408 |
0 |
430 |
0 |
0 |
0 |
0 |
3,838 |
12.18 |
FLORIDA |
757 |
0 |
0 |
0 |
0 |
0 |
13,732 |
0 |
39,142 |
0 |
0 |
0 |
0 |
52,874 |
69.85 |
GEORGIA |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0.00 |
GUAM |
NR |
NR |
NR |
NR |
NR |
NR |
NR |
NR |
NR |
NR |
NR |
NR |
NR |
NR |
NR |
HAWAII |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0.00 |
IDAHO |
42 |
0 |
0 |
0 |
0 |
0 |
1,278 |
0 |
101 |
0 |
0 |
0 |
0 |
1,379 |
32.83 |
ILLINOIS |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0.00 |
INDIANA |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0.00 |
IOWA |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0.00 |
KANSAS |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0.00 |
KENTUCKY |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0.00 |
LOUISIANA |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0.00 |
MAINE |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0.00 |
MARYLAND |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0.00 |
MASSACHUSETTS |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0.00 |
MICHIGAN |
2,673 |
0 |
0 |
0 |
0 |
0 |
93,772 |
0 |
0 |
0 |
0 |
0 |
0 |
93,772 |
35.08 |
MINNESOTA |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0.00 |
MISSISSIPPI |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0.00 |
MISSOURI |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0.00 |
MONTANA |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0.00 |
NEBRASKA |
367 |
3,164 |
0 |
0 |
282 |
0 |
7,157 |
3,181 |
7,217 |
0 |
0 |
0 |
0 |
21,001 |
57.22 |
NEVADA |
350 |
0 |
0 |
0 |
0 |
0 |
3,941 |
0 |
2,017 |
0 |
0 |
0 |
0 |
5,958 |
17.02 |
NEW HAMPSHIRE |
167 |
0 |
0 |
0 |
0 |
0 |
5,125 |
0 |
0 |
0 |
0 |
0 |
0 |
5,125 |
30.69 |
NEW JERSEY |
561 |
0 |
0 |
0 |
0 |
0 |
838 |
0 |
6,455 |
0 |
0 |
0 |
0 |
7,293 |
13.00 |
NEW MEXICO |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0.00 |
NEW YORK |
746 |
70,045 |
0 |
0 |
0 |
0 |
1,580 |
0 |
0 |
0 |
0 |
7,534 |
0 |
79,159 |
106.11 |
NORTH CAROLINA |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0.00 |
NORTH DAKOTA |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0.00 |
OHIO |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0.00 |
OKLAHOMA |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0.00 |
OREGON |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0.00 |
PENNSYLVANIA |
414 |
0 |
0 |
0 |
0 |
0 |
22,439 |
0 |
64 |
0 |
0 |
0 |
0 |
22,503 |
54.36 |
PUERTO RICO |
E |
E |
E |
E |
E |
E |
E |
E |
E |
E |
E |
E |
E |
E |
E |
RHODE ISLAND |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0.00 |
SOUTH CAROLINA |
22 |
0 |
0 |
0 |
44 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
44 |
2.00 |
SOUTH DAKOTA |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0.00 |
TENNESSEE |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0.00 |
TEXAS |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0.00 |
UTAH |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0.00 |
VERMONT |
43 |
0 |
0 |
0 |
0 |
0 |
1,837 |
0 |
0 |
0 |
0 |
0 |
0 |
1,837 |
42.72 |
VIRGIN ISLANDS |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0.00 |
VIRGINIA |
597 |
0 |
0 |
0 |
0 |
0 |
19,950 |
0 |
0 |
0 |
0 |
0 |
0 |
19,950 |
33.42 |
WASHINGTON |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0.00 |
WEST VIRGINIA |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0.00 |
WISCONSIN |
7,500 |
0 |
0 |
0 |
0 |
0 |
235,460 |
0 |
3,636 |
0 |
0 |
0 |
0 |
239,096 |
31.88 |
WYOMING |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0.00 |
| NR = Not reported. | |||||||||||||||
| E= Excluded from this report due to data errors. | |||||||||||||||
| Link to MS Excel data file (cra_report-to-congress.xls) | |||||||||||||||
WEIs with Insufficient Hours
If a WEI does not meet the minimum hourly participation requirements (i.e., he or she has insufficient hours of participation), his or her family cannot be included in the numerator of a State’s overall work participation rate (unless another WEI in the family can satisfy fully the minimum requirements).11
Table 10 summarizes the total number of WEIs with insufficient hours that were reported on monthly TANF and SSP data reports, broken down by the number of hours in each countable work activity that were not reported by the State (see Appendix III for definitions of work activities). It shows that States reported a total of 195,904 WEIs (15.3 percent of all WEIs) with insufficient hours to satisfy the work participation requirements. Alaska and Georgia were the only States that reported zero WEIs with insufficient hours of participation.
California reported the largest number of WEIs with insufficient hours of participation (80,413 WEIs, or 16.8 percent of the State’s WEIs). Hawaii reported the highest percentage of its State’s WEIs as having insufficient hours in a countable activity (43.3 percent). (See Table 5 for percentages).
The total number of insufficient hours of participation in countable work activities was 10,412,930. Nearly half of the “insufficient” hours were in unsubsidized employment, reflecting the extent of part-time employment among WEIs. This also reflects, in part, the fact that in many States, an individual entering full-time employment will lose eligibility for TANF assistance and therefore no longer count in the participation rate calculation. Part-time employment also may be highly variable as work schedules are often unpredictable, making scheduling additional “wrap-around” activities difficult; a State may prioritize helping the parent stay employed, even if only on a part-time basis. Furthermore, California observes:
Insufficient participation is often attributable to situations such as when the employer does not offer enough hours of work to fully meet federal participation requirements, or when part-time employment is unpredictable and varies greatly from month to month.
In some cases, the shortfall in hours might reflect the failure to complete all scheduled hours of participation. If so, some State engagement reports note that these families would be subject to a financial sanction unless they have good cause or are otherwise excused from participation. In addition, other States noted that “insufficient hours” could stem from WEIs not completing their work activity plans and a variety of other reasons. For example, the Tennessee engagement report states:
Insufficient work hours could result from a number of situations beyond client non-cooperation. Our Federal Reporting system does not pro-rate activity requirements in months when an individual begins or exits TANF. Consequently, an individual may begin a full-time work activity in the middle of a month while having, for Federal Reporting purposes, a full month of work requirement hours. Holidays which are not allowed for TANF may close a work site or educational facility, causing a deficit of hours for the month. In addition, Tennessee allows some individuals to operate under a modified work plan with fewer hours.
Job search/job readiness assistance accounted for 1,888,519 hours in this category and vocational educational training accounted for 951,683 hours, nearly 18.1 percent and 9.1 percent of total “insufficient” hours, respectively, reflecting the often part-time nature of these activities. It also highlights that while some States are strategic about whether they report hours in these activities (i.e., they report hours in time-limited activities only when the WEI has sufficient hours to be counted toward the State’s Federal work participation rate), for many States this is apparently not a factor. Indeed, 46 States reported at least some individuals in these categories, even though doing so did not help their participation rate and would count against the individual’s limited hours (job search/job readiness assistance) or months (vocational education training) of countability.
| STATE | WEIs with Insufficient Hours of Participation | Unsubsidized Employment | Subsidized Private Employment | Subsidized Public Employment | Work Experience | On-The-Job Training | Job Search/Job Readiness Assistance | Community Service | Vocational Educational Training | Job Skills Training | Education Directly Related to Employment | Satisfactory School Attendance | Providing Child Care to a Participant in a Community Service Program | Total Insufficient Hours in Countable Work Activities | Average Insufficient, Countable Hours Per WEI With Insufficient Hours |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
UNITED STATES |
195,904 |
5,039,003 |
103,045 |
39,687 |
692,010 |
8,137 |
1,888,519 |
518,881 |
951,683 |
351,339 |
747,020 |
73,580 |
26 |
10,412,930 |
53.15 |
ALABAMA |
906 |
12,854 |
0 |
9,640 |
0 |
0 |
8,899 |
0 |
9,640 |
1,813 |
0 |
742 |
0 |
43,588 |
48.11 |
ALASKA |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0.00 |
ARIZONA |
1,291 |
3,653 |
0 |
0 |
2,763 |
42 |
2,879 |
1,940 |
3,246 |
1,270 |
333 |
857 |
0 |
16,983 |
13.15 |
ARKANSAS |
1,253 |
6,544 |
0 |
0 |
2,040 |
27 |
1,960 |
80 |
1,113 |
0 |
0 |
5,220 |
0 |
16,984 |
13.55 |
CALIFORNIA |
80,413 |
2,173,676 |
0 |
0 |
7,711 |
0 |
851,426 |
150,193 |
218,795 |
0 |
615,031 |
0 |
0 |
4,016,832 |
49.95 |
COLORADO |
1,350 |
12,172 |
0 |
0 |
21,301 |
0 |
12,742 |
4,975 |
4,563 |
367 |
717 |
12,971 |
0 |
69,808 |
51.71 |
CONNECTICUT |
1,562 |
46,469 |
0 |
0 |
0 |
0 |
48,979 |
1,201 |
19,753 |
0 |
4,805 |
0 |
0 |
121,207 |
77.60 |
DELAWARE |
282 |
8,798 |
0 |
0 |
7,457 |
0 |
0 |
0 |
0 |
215 |
0 |
0 |
0 |
16,470 |
58.40 |
DIST. OF COL. |
115 |
1,060 |
0 |
0 |
573 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
1,633 |
14.20 |
FLORIDA |
1,827 |
17,355 |
0 |
0 |
6,223 |
7,795 |
15,193 |
59,771 |
1,729 |
38,479 |
0 |
2,235 |
0 |
148,780 |
81.43 |
GEORGIA |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0.00 |
GUAM |
NR |
NR |
NR |
NR |
NR |
NR |
NR |
NR |
NR |
NR |
NR |
NR |
NR |
NR |
NR |
HAWAII |
2,383 |
6,796 |
358 |
102 |
1,668 |
1 |
1,037 |
511 |
855 |
295 |
134 |
18 |
0 |
11,775 |
4.94 |
IDAHO |
45 |
512 |
0 |
0 |
344 |
0 |
1,278 |
0 |
218 |
0 |
0 |
35 |
0 |
2,387 |
53.04 |
ILLINOIS |
1,062 |
271 |
0 |
0 |
9,893 |
0 |
0 |
0 |
0 |
34 |
0 |
0 |
0 |
10,198 |
9.60 |
INDIANA |
4,001 |
128,900 |
1,455 |
0 |
12,260 |
35 |
42,205 |
140 |
19,040 |
1,675 |
1,195 |
6,750 |
0 |
213,655 |
53.40 |
IOWA |
4,566 |
67,628 |
5,636 |
0 |
0 |
0 |
44,657 |
0 |
39,235 |
0 |
143 |
0 |
0 |
157,299 |
34.45 |
KANSAS |
3,123 |
66,291 |
0 |
0 |
13,976 |
0 |
27,303 |
1,375 |
52,210 |
3,105 |
491 |
688 |
0 |
165,439 |
52.97 |
KENTUCKY |
1,288 |
27,842 |
715 |
0 |
10,402 |
0 |
1,278 |
17,193 |
9,080 |
14,448 |
6,317 |
0 |
0 |
87,275 |
67.76 |
LOUISIANA |
374 |
5,712 |
0 |
194 |
3,518 |
0 |
675 |
2,893 |
10,887 |
162 |
0 |
378 |
0 |
24,419 |
65.29 |
MAINE |
2,738 |
30,796 |
0 |
0 |
378 |
0 |
2,964 |
4,954 |
0 |
0 |
8,891 |
662 |
0 |
48,645 |
17.77 |
MARYLAND |
1,833 |
15,666 |
0 |
0 |
24,948 |
0 |
31,396 |
6,730 |
12,455 |
7,155 |
0 |
0 |
0 |
98,350 |
53.66 |
MASSACHUSETTS |
2,334 |
87,697 |
0 |
0 |
0 |
0 |
5,413 |
0 |
9,055 |
0 |
0 |
0 |
0 |
102,165 |
43.77 |
MICHIGAN |
9,735 |
324,896 |
0 |
13,219 |
40,420 |
0 |
151,400 |
19,385 |
40,066 |
0 |
0 |
0 |
0 |
589,386 |
60.54 |
MINNESOTA |
4,150 |
124,200 |
0 |
0 |
11,095 |
0 |
73,482 |
0 |
15,533 |
10,809 |
0 |
0 |
0 |
235,119 |
56.66 |
MISSISSIPPI |
874 |
5,877 |
0 |
0 |
13,775 |
0 |
364 |
5,078 |
5,066 |
0 |
364 |
0 |
0 |
30,524 |
34.92 |
MISSOURI |
964 |
1,331 |
0 |
0 |
0 |
0 |
8,377 |
15,647 |
4,742 |
0 |
474 |
0 |
0 |
30,571 |
31.71 |
MONTANA |
732 |
10,439 |
0 |
695 |
30,607 |
0 |
7,923 |
5,587 |
8,780 |
162 |
174 |
683 |
0 |
65,050 |
88.87 |
NEBRASKA |
316 |
11,930 |
0 |
0 |
872 |
0 |
479 |
3,694 |
154 |
0 |
0 |
0 |
0 |
17,129 |
54.21 |
NEVADA |
1,274 |
39,017 |
0 |
0 |
13,977 |
0 |
6,754 |
9,934 |
4,334 |
8,618 |
0 |
0 |
0 |
82,634 |
64.86 |
NEW HAMPSHIRE |
234 |
4,823 |
0 |
0 |
440 |
0 |
238 |
2,020 |
0 |
1,698 |
0 |
204 |
0 |
9,423 |
40.27 |
NEW JERSEY |
1,806 |
10,009 |
0 |
0 |
10,960 |
0 |
0 |
54 |
0 |
2,361 |
336 |
0 |
0 |
23,720 |
13.13 |
NEW MEXICO |
1,621 |
31,453 |
0 |
0 |
17,934 |
0 |
18,787 |
12,684 |
3,585 |
373 |
0 |
3,407 |
0 |
88,223 |
54.43 |
NEW YORK |
15,481 |
450,263 |
0 |
0 |
166,177 |
0 |
122,123 |
0 |
82,627 |
22,735 |
31,517 |
0 |
0 |
875,442 |
56.55 |
NORTH CAROLINA |
445 |
7,674 |
0 |
167 |
1,667 |
0 |
6,604 |
1,156 |
2,463 |
0 |
0 |
0 |
0 |
19,731 |
44.34 |
NORTH DAKOTA |
157 |
4,820 |
0 |
38 |
2,535 |
0 |
237 |
4 |
729 |
24 |
201 |
30 |
17 |
8,635 |
55.00 |
OHIO |
7,524 |
266,710 |
0 |
0 |
57,078 |
0 |
42,809 |
0 |
11,935 |
19,718 |
0 |
0 |
0 |
398,250 |
52.93 |
OKLAHOMA |
666 |
2,780 |
0 |
0 |
5,954 |
0 |
11,897 |
2,172 |
14,759 |
0 |
0 |
0 |
0 |
37,562 |
56.40 |
OREGON |
3,284 |
135,010 |
0 |
0 |
47,871 |
0 |
9,728 |
3,561 |
23,908 |
11,700 |
0 |
11,191 |
0 |
242,969 |
73.99 |
PENNSYLVANIA |
5,298 |
157,570 |
28,430 |
15,383 |
0 |
0 |
34,055 |
14,350 |
79,558 |
66,405 |
0 |
0 |
0 |
395,751 |
74.70 |
PUERTO RICO |
E |
E |
E |
E |
E |
E |
E |
E |
E |
E |
E |
E |
E |
E |
E |
RHODE ISLAND |
864 |
22,345 |
0 |
0 |
1,757 |
0 |
17,203 |
0 |
3,752 |
0 |
0 |
0 |
0 |
45,057 |
52.15 |
SOUTH CAROLINA |
663 |
8,260 |
0 |
0 |
4,304 |
0 |
13,973 |
5,454 |
4,858 |
0 |
0 |
0 |
0 |
36,849 |
55.58 |
SOUTH DAKOTA |
258 |
3,705 |
0 |
0 |
0 |
0 |
1,018 |
7,235 |
793 |
0 |
1,196 |
0 |
0 |
13,947 |
54.06 |
TENNESSEE |
11,290 |
468,770 |
0 |
0 |
27,986 |
0 |
132,791 |
142,770 |
180,184 |
70,323 |
50,692 |
0 |
0 |
1,073,516 |
95.09 |
TEXAS |
1,671 |
25,425 |
0 |
0 |
9,679 |
0 |
13,958 |
713 |
0 |
0 |
0 |
0 |
0 |
49,775 |
29.79 |
UTAH |
1,285 |
18,977 |
273 |
249 |
11,386 |
0 |
0 |
5,121 |
4,935 |
20,896 |
0 |
3,804 |
0 |
65,641 |
51.08 |
VERMONT |
258 |
2,041 |
0 |
0 |
0 |
0 |
137 |
704 |
5 |
9 |
9 |
9 |
9 |
2,923 |
11.33 |
VIRGIN ISLANDS |
39 |
0 |
0 |
0 |
3,133 |
0 |
193 |
216 |
5,129 |
148 |
115 |
0 |
0 |
8,934 |
229.08 |
VIRGINIA |
956 |
24,131 |
0 |
0 |
0 |
0 |
8,123 |
7,048 |
8,960 |
0 |
0 |
0 |
0 |
48,262 |
50.48 |
WASHINGTON |
7,131 |
121,529 |
66,178 |
0 |
1,242 |
237 |
96,257 |
684 |
20,798 |
44,440 |
549 |
14,969 |
0 |
366,883 |
51.45 |
WEST VIRGINIA |
553 |
5,042 |
0 |
0 |
2,338 |
0 |
9,165 |
1,654 |
12,156 |
0 |
0 |
3,387 |
0 |
33,742 |
61.02 |
WISCONSIN |
3,615 |
29,019 |
0 |
0 |
82,898 |
0 |
0 |
0 |
0 |
1,902 |
23,056 |
5,340 |
0 |
142,215 |
39.34 |
WYOMING |
14 |
265 |
0 |
0 |
470 |
0 |
160 |
0 |
0 |
0 |
280 |
0 |
0 |
1,175 |
83.93 |
| NR = Not reported. | |||||||||||||||
| E= Excluded from this report due to data errors. | |||||||||||||||
| Link to MS Excel data file (cra_report-to-congress.xls) | |||||||||||||||
WEIs with Uncountable Hours Due to Statutory Time Limits on Participation
Where activities are time-limited (such as job search/job readiness assistance and vocational educational training), a State is prohibited by law from counting toward participation rates the hours that exceed the time limit for Federal work participation purposes. Note that States are free to require or allow individuals to participate in these activities beyond the period in which the activities count toward Federal participation rates; the law only restricts the extent to which they can count toward Federal participation rates. Current instructions specify that if the time limit is reached, the State should report “zero hours” in the respective category and that the State may then choose to report the actual hours in “other work activities” on its monthly data reports. However, States are not required to report these hours, and because they receive no work participation credit for these hours, may choose not to do so.
As described above in the introduction of work participation data, the statute limits job search/job readiness assistance participation to no more than six weeks per year (12 weeks when the State meets a “needy State” definition),12 and vocational educational training to a lifetime limit of 12 months for any individual for participation rate purposes.13
Table 11 summarizes the total number of WEIs with uncountable hours due to statutory time limits on participation, broken down by the number of hours in each countable work activity that were not reported by the State (see Appendix III for definitions of work activities).14 It shows that 32 States reported having a total of 29,464 WEIs (2.3 percent of all WEIs) participating in time-limited activities beyond a statutory limit.
California reported the largest number of WEIs participating in time-limited activities beyond the statutory limit (6,337 WEIs, or 1.3 percent of the State’s WEIs). Washington reported the highest percentage of its State’s WEIs as having insufficient hours in a countable activity (7.4 percent). (See Table 5 for percentages). It is possible that States reported zero WEIs in this category because the data has never been collected since there is no reason to do so. Montana explains that it “does not collect hours in activities which exceed the maximum time limit allowed for such activities as the hours are not countable and reporting of these hours has no added value to the work participation rate.”
Nationally, the total number of hours beyond the statutory limit reported by States was 1,554,041 hours, with most of these hours in job search/job readiness assistance (1,262,408 hours). This is not surprising given that this involves one of the more commonly used TANF activities and it has the shortest time limit. The remaining 291,633 hours beyond the limit are in vocational educational training.
The effect of these limits may be understated for several reasons. First, most job readiness assistance activities also can be classified as non-countable activities that move a family toward self-sufficiency. For example, some States could consider treatment activities to be “job readiness assistance” if offered within the activity’s statutory time limits, or “beyond the statutory limit” otherwise, while others may classify them as “non-countable activity that moves a family toward self-sufficiency.” In such circumstances, the activity would not count regardless of the classification. Second, a State may choose not to verify the hours, because they would not count, so some of the hours also could be classified as “hours of participation that do not meet the verification standards” or simply as “unreported hours.”
In their submissions to HHS, some States suggested that the time limits be expanded or eliminated to better reflect a State’s efforts in moving a family toward self-sufficiency. For example, Vermont stated, “The current [statutory] limitations mask the efforts of WEIs to gain employment and the state’s efforts to support them in seeking and preparing for work; there is no official recognition of these efforts.”
Other States noted administrative problems in tracking these time-limited provisions. For example, Indiana’s engagement report described a problem related to the lifetime limit for counting participation in vocational educational training:
Most individuals have been attending classes on and off for several years. In the spring of 2010, the Division of Family Resources implemented a new case management system to track assigned work activity hours and participation. Unfortunately, information of prior months of vocational training was not loaded into the new system. As such, case managers were unaware that the individual has exceeded the twelve-month limit.
While the State will rectify this problem, this example highlights how the complexity of some existing provisions can lead to data error.
| STATE | WEIs with Uncountable Hours Due to Statutory Time Limits on Participation |
Job Search/ Job Readiness Assistance |
Vocational Educational Training | Total Hours in Countable Activities Beyond Statutory Limits |
Average Hours of Participation Beyond Limit |
|---|---|---|---|---|---|
UNITED STATES |
29,464 |
1,262,408 |
291,633 |
1,554,041 |
52.74 |
ALABAMA |
0 |
0 |
0 |
0 |
0.00 |
ALASKA |
0 |
0 |
0 |
0 |
0.00 |
ARIZONA |
0 |
0 |
0 |
0 |
0.00 |
ARKANSAS |
0 |
0 |
0 |
0 |
0.00 |
CALIFORNIA |
6,337 |
269,310 |
0 |
269,310 |
42.50 |
COLORADO |
131 |
11,912 |
0 |
11,912 |
90.93 |
CONNECTICUT |
225 |
4,580 |
0 |
4,580 |
20.36 |
DELAWARE |
0 |
0 |
0 |
0 |
0.00 |
DIST. OF COL. |
0 |
0 |
0 |
0 |
0.00 |
FLORIDA |
614 |
3,984 |
7,795 |
11,779 |
19.18 |
GEORGIA |
0 |
0 |
0 |
0 |
0.00 |
GUAM |
NR |
NR |
NR |
NR |
NR |
HAWAII |
80 |
652 |
30 |
682 |
8.53 |
IDAHO |
2 |
150 |
0 |
150 |
75.00 |
ILLINOIS |
0 |
0 |
0 |
0 |
0.00 |
INDIANA |
248 |
3,820 |
1,930 |
5,750 |
23.19 |
IOWA |
357 |
0 |
37,595 |
37,595 |
105.31 |
KANSAS |
312 |
8,502 |
0 |
8,502 |
27.25 |
KENTUCKY |
9 |
0 |
89 |
89 |
9.89 |
LOUISIANA |
0 |
0 |
0 |
0 |
0.00 |
MAINE |
397 |
0 |
11,077 |
11,077 |
27.90 |
MARYLAND |
222 |
6,178 |
0 |
6,178 |
27.83 |
MASSACHUSETTS |
0 |
0 |
0 |
0 |
0.00 |
MICHIGAN |
2,152 |
134,343 |
0 |
134,343 |
62.43 |
MINNESOTA |
215 |
22,262 |
0 |
22,262 |
103.54 |
MISSISSIPPI |
0 |
0 |
0 |
0 |
0.00 |
MISSOURI |
0 |
0 |
0 |
0 |
0.00 |
MONTANA |
0 |
0 |
0 |
0 |
0.00 |
NEBRASKA |
144 |
342 |
13,055 |
13,397 |
93.03 |
NEVADA |
49 |
0 |
4,584 |
4,584 |
93.55 |
NEW HAMPSHIRE |
0 |
0 |
0 |
0 |
0.00 |
NEW JERSEY |
1,012 |
5,607 |
10,119 |
15,726 |
15.54 |
NEW MEXICO |
18 |
355 |
0 |
355 |
19.72 |
NEW YORK |
4,012 |
148,890 |
36,602 |
185,492 |
46.23 |
NORTH CAROLINA |
0 |
0 |
0 |
0 |
0.00 |
NORTH DAKOTA |
7 |
81 |
162 |
243 |
34.71 |
OHIO |
1,816 |
103,778 |
60,710 |
164,488 |
90.58 |
OKLAHOMA |
101 |
13,514 |
0 |
13,514 |
133.80 |
OREGON |
2,082 |
88,001 |
6,613 |
94,614 |
45.44 |
PENNSYLVANIA |
765 |
43,884 |
0 |
43,884 |
57.36 |
PUERTO RICO |
E |
E |
E |
E |
E |
RHODE ISLAND |
65 |
4,251 |
191 |
4,442 |
68.34 |
SOUTH CAROLINA |
43 |
1,278 |
0 |
1,278 |
29.72 |
SOUTH DAKOTA |
0 |
0 |
0 |
0 |
0.00 |
TENNESSEE |
3,524 |
122,301 |
40,205 |
162,506 |
46.11 |
TEXAS |
0 |
0 |
0 |
0 |
0.00 |
UTAH |
379 |
0 |
845 |
845 |
2.23 |
VERMONT |
76 |
788 |
0 |
788 |
10.37 |
VIRGIN ISLANDS |
0 |
0 |
0 |
0 |
0.00 |
VIRGINIA |
717 |
80,040 |
0 |
80,040 |
111.63 |
WASHINGTON |
3,258 |
183,605 |
43,631 |
227,236 |
69.75 |
WEST VIRGINIA |
95 |
0 |
16,400 |
16,400 |
172.63 |
WISCONSIN |
0 |
0 |
0 |
0 |
0.00 |
WYOMING |
0 |
0 |
0 |
0 |
0.00 |
| NR = Not reported. | |||||
| E= Excluded from this report due to data errors. | |||||
| Link to MS Excel data file (cra_report-to-congress.xls) | |||||
WEIs with Hours that Do Not Meet Verification Standards
In order for an hour of participation in a work activity to count towards meeting an individual’s work requirements, it must be verified.
Under the original TANF law and implementing regulations, HHS chose not to define the 12 statutory work activities but instead provided program design flexibility to States. Similarly, there were few guidelines on many other aspects of the work participation rate calculation, including the counting and verification of hours of participation.
The DRA required each State to establish and maintain work participation verification procedures through a Work Verification Plan. Accordingly, with the publication of the final rule on February 5, 2008, each State was required to: (1) determine which work activities may count for participation rate purposes; (2) determine how to count and verify reported hours of work; and (3) identify who is a WEI. The State also must develop and use internal controls to ensure compliance with its procedures and submit them in a complete Work Verification Plan to the Secretary for approval. The purpose of the Work Verification Plan is to ensure that States report participation data that is consistent with the law and regulations and that States adequately verify the accuracy of that participation data.
Table 12 summarizes the total number of hours of reported participation that did not meet verification standards, broken down by countable work activity (see Appendix III for definitions of work activities). Nationally, 26 States reported WEIs with unverified hours, with 70,323 WEIs (5.5 percent of WEIs) reporting 5,109,821 unverified hours.
California reported the largest number of WEIs with hours that do not meet verification standards (33,718 WEIs, or 7.1 percent of the State’s WEIs), while Washington reported the highest percentage of its WEIs as having insufficient hours in a countable activity (30.9 percent). (See Table 5 for percentages).
States have often asserted that the existing verification requirements are onerous and lead to uncounted hours of participation. Several examples from the State engagement reports illustrate these concerns:
- Alabama: “…a client is not countable in the work participation rate until after the first pay check is received by the client and submitted to [Department of Human Resources]. In some cases this is as long as one month after employment starts. During this time, the individual is not countable even though s/he is participating sufficient hours to meet the federal requirements.”
- Alaska: “A parent receiving TANF gets a new job. Unsubsidized Employment meets the definition of a countable activity. However, if the Division of Public Assistance and/or its Work Services (case management) Provider have not yet received collateral verification from the employer or its representative documenting the number of hours the parent has worked or has been hired to work per week, then the activity is not verified as per regulation.
The data submitted in response to the Claims Resolution Act requirements may understate the number of States and WEIs with unverified hours of participation, because States and/or their vendors typically do not collect information about non-verified hours of participation and there is little incentive to invest resources in doing so. Indeed, there are likely circumstances in all States that preclude verifying all hours of participation, yet 28 States did not report any individuals with unverified hours of participation. On the other hand, the number of unverified hours may be artificially overstated in comparison to the regular TANF data reporting because of the very short timeframe imposed on them by the Claims Resolution Act; several States reported difficulties in verifying all the hours by the established timeframe for the ACF-812.
For example, the Pennsylvania report describes the challenges associated with verification problems as follows:
While the timeframe for completing the ACF-812 was very short and it is possible some of the required documentation will eventually be obtained, the number of hours reported in this category speaks to the high level of difficulty states have in meeting the current federally mandated documentation requirements. States expend a high level of resources to try to obtain the very difficult level of verification required federally and often to no avail.
Similarly, California officials noted:
Due to the abbreviated reporting time frame for collection of the March 2011 data sample, it was particularly challenging to verify participation, as it limited the opportunity for counties to recall and resubmit data. Additionally, the onerous nature of the current standards prevents verification from being achieved even when additional time to report is allowed. For example, paychecks often do not include hours worked, and therefore creates additional challenges requiring further follow up. [This data collection] validates the need for the federal verification standards to be reexamined, specifically the administrative reporting challenges inherent in the verification requirements, as close to 10 percent of the total work-eligible individuals had unverifiable hours for the month of March 2011, in countable activities.
| STATE | WEIs with Hours of Participation That Do Not Meet the Verification Standards | Unsubsidized Employment | Subsidized Private Employment | Subsidized Public Employment | Work Experience | On-The-Job Training | Job Search/Job Readiness Assistance | Community Service | Vocational Educational Training | Job Skills Training | Education Directly Related to Employment | Satisfactory School Attendance | Providing Child Care to a Participant in a Community Service Program | Total Hours in Countable Activities That Do Not Meet the Verification Standard | Average Non-Verified Hours of Participation Per WEI with Non-Verified Hours |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
UNITED STATES |
70,323 |
2,021,993 |
274,547 |
706 |
143,658 |
25,966 |
761,241 |
82,639 |
1,182,343 |
348,639 |
30,556 |
236,790 |
743 |
5,109,821 |
72.66 |
ALABAMA |
494 |
52,980 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
52,980 |
107.25 |
ALASKA |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0.00 |
ARIZONA |
10 |
105 |
0 |
0 |
30 |
0 |
38 |
0 |
113 |
0 |
0 |
0 |
0 |
286 |
28.60 |
ARKANSAS |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0.00 |
CALIFORNIA |
33,718 |
1,027,691 |
4,687 |
0 |
7,711 |
0 |
392,875 |
0 |
694,249 |
199,517 |
0 |
0 |
0 |
2,326,730 |
69.01 |
COLORADO |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0.00 |
CONNECTICUT |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0.00 |
DELAWARE |
134 |
1,100 |
0 |
0 |
268 |
0 |
2,132 |
0 |
1,676 |
0.00 |
0 |
268 |
0 |
5,444 |
40.63 |
DIST. OF COL. |
258 |
8,392 |
0 |
0 |
916 |
0 |
2,234 |
0 |
4,983 |
0 |
0 |
3,408 |
0 |
19,933 |
77.26 |
FLORIDA |
196 |
9,018 |
0 |
0 |
0 |
0 |
3,431 |
0 |
0 |
0 |
0 |
0 |
0 |
12,449 |
63.52 |
GEORGIA |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0.00 |
GUAM |
NR |
NR |
NR |
NR |
NR |
NR |
NR |
NR |
NR |
NR |
NR |
NR |
NR |
NR |
NR |
HAWAII |
36 |
78 |
0 |
0 |
105 |
0 |
36 |
16 |
64 |
9 |
10 |
1 |
0 |
319 |
8.86 |
IDAHO |
30 |
106 |
0 |
0 |
33 |
0 |
241 |
8 |
4 |
0 |
0 |
3 |
0 |
395 |
13.17 |
ILLINOIS |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0.00 |
INDIANA |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0.00 |
IOWA |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0.00 |
KANSAS |
566 |
0 |
0 |
0 |
82 |
0 |
10,116 |
0 |
3,193 |
2,235 |
0 |
0 |
0 |
15,626 |
27.61 |
KENTUCKY |
708 |
9,685 |
1,018 |
0 |
15,654 |
0 |
2,126 |
23,957 |
15,726 |
1,824 |
1,513 |
1,715 |
0 |
73,218 |
103.42 |
LOUISIANA |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0.00 |
MAINE |
3,026 |
3,493 |
0 |
0 |
0 |
0 |
3,733 |
326 |
2,092 |
0 |
388 |
122 |
0 |
10,154 |
3.36 |
MARYLAND |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0.00 |
MASSACHUSETTS |
2,953 |
82,716 |
0 |
0 |
0 |
0 |
52,728 |
0 |
83,055 |
7,981 |
0 |
0 |
0 |
226,480 |
76.69 |
MICHIGAN |
2,916 |
0 |
0 |
0 |
12,297 |
24,594 |
17,523 |
6,763 |
60,254 |
0 |
0 |
76,382 |
0 |
197,813 |
67.84 |
MINNESOTA |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0.00 |
MISSISSIPPI |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0.00 |
MISSOURI |
331 |
10,273 |
0 |
0 |
13,118 |
0 |
0 |
0 |
0 |
0 |
3,161 |
0 |
0 |
26,552 |
80.22 |
MONTANA |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0.00 |
NEBRASKA |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0.00 |
NEVADA |
289 |
15,247 |
0 |
706 |
0 |
0 |
544 |
0 |
1,204 |
0 |
0 |
2,440 |
0 |
20,141 |
69.69 |
NEW HAMPSHIRE |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0.00 |
NEW JERSEY |
88 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
2,282 |
0 |
0 |
0 |
2,282 |
25.93 |
NEW MEXICO |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0.00 |
NEW YORK |
5,624 |
223,166 |
0 |
0 |
474 |
0 |
25,924 |
10,270 |
59,200 |
0 |
10,776 |
81,898 |
0 |
411,708 |
73.21 |
NORTH CAROLINA |
99 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
379 |
0 |
0 |
3,466 |
0 |
3,845 |
38.84 |
NORTH DAKOTA |
13 |
50 |
0 |
0 |
34 |
0 |
36 |
0 |
0 |
33 |
2 |
0 |
0 |
155 |
11.92 |
OHIO |
1,297 |
0 |
0 |
0 |
2,076 |
0 |
21,793 |
0 |
20,237 |
38,917 |
0 |
0 |
0 |
83,023 |
64.01 |
OKLAHOMA |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0.00 |
OREGON |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0.00 |
PENNSYLVANIA |
3,466 |
12,197 |
9,467 |
0 |
56,098 |
0 |
2,104 |
23,392 |
22,084 |
5,610 |
13,767 |
418 |
0 |
145,137 |
41.87 |
PUERTO RICO |
E |
E |
E |
E |
E |
E |
E |
E |
E |
E |
E |
E |
E |
E |
E |
RHODE ISLAND |
183 |
0 |
0 |
0 |
0 |
0 |
18,280 |
0 |
0 |
0 |
0 |
0 |
0 |
18,280 |
99.89 |
SOUTH CAROLINA |
213 |
0 |
0 |
0 |
0 |
852 |
4,261 |
0 |
5,965 |
0 |
0 |
0 |
0 |
11,078 |
52.01 |
SOUTH DAKOTA |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0.00 |
TENNESSEE |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0.00 |
TEXAS |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0.00 |
UTAH |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0.00 |
VERMONT |
9 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
1,202 |
0 |
1,202 |
133.56 |
VIRGIN ISLANDS |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0.00 |
VIRGINIA |
119 |
0 |
0 |
0 |
0 |
0 |
0 |
3,584 |
0 |
0 |
0 |
0 |
0 |
3,584 |
30.12 |
WASHINGTON |
13,547 |
565,696 |
259,375 |
0 |
34,762 |
520 |
201,086 |
14,323 |
207,865 |
90,231 |
939 |
65,467 |
743 |
1,441,007 |
106.37 |
WEST VIRGINIA |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0.00 |
WISCONSIN |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0.00 |
WYOMING |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0.00 |
| NR = Not reported. | |||||||||||||||
| E= Excluded from this report due to data errors. | |||||||||||||||
| Link to MS Excel data file (cra_report-to-congress.xls) | |||||||||||||||
WEIs with Hours in Non-Countable Activities
As described above, the law specifies the activities that count toward the participation rates, and imposes certain restrictions on when activities can count. Yet many States have indicated that they engage WEIs in a many other activities that they are not currently able to count toward the work participation rate, but that nevertheless move the family toward self-sufficiency. In addition, an individual may be in a self-initiated activity, e.g., an education program, that does not count toward the participation rate requirements, but that may help the individual move toward self-sufficiency.
Non-countable engagement activities that promote self-sufficiency include a variety of activities that cannot generally be counted as “core” activities: obtaining a high school diploma or GED; adult basic education/English as a Second Language15; post-secondary education; treatment activities (e.g., physical or mental health services, substance abuse treatment, domestic violence services, attending to physical or mental health disabilities or conditions); family life skills activities (e.g., teen parent skill-building, parenting programs, mentoring, personal development activities, organizations skills workshops, and financial literacy/budgeting workshops); accessing work support activities (e.g., finding and arranging childcare, obtaining a driver’s license); and in assessment (i.e., the process of identifying a WEI’s skills, goals, needs, and any barriers to employment).
Table 13 summarizes the total number of hours of participation in non-countable activities that move families toward self-sufficiency by the type of activity in which the WEI was engaged. Thirty-three States reported 71,323 WEIs (5.6 percent of WEIs) with hours of participation in non-countable activities that move families toward self-sufficiency.
Oregon reported the largest number of WEIs with non-countable hours (14,391 WEIs, or 47.6 percent of the State’s WEIs). Wisconsin reported the highest percentage of its State’s WEIs as having hours in non-countable activities that move a family toward self-sufficiency (47.8 percent). (See Table 5 for percentages).
Again, it is likely that some of the differences among States stem from differences in the extent to which such activities are tracked effectively.
The total number of hours of participation in non-countable activities that move families toward self-sufficiency reported by States was 2,198,744. Three activities accounted for over 85 percent of the hours spent in these activities:
- 36.1 percent for activities related to obtaining a high school diploma or GED;
- 31.3 percent of these hours were in treatment activities; and
- 18.6 percent for family life skills activities.
States also were able to list other types of non-countable activities in which they are engaging families in order to move them toward self-sufficiency. Other activities frequently listed included “working on a family issue;” extended care of a family member; attending jury duty or a court date; conducting a housing search; completing court mandated activities, e.g., probation or child welfare; receiving intensive in-home services or case management; going to doctor appointments; providing child care; and obtaining a medical evaluation.
When specifying other non-countable activities, States also listed uncountable job search/job readiness assistance and vocational educational training as an uncountable activity that moves a family toward self-sufficiency; thus, there may be some inconsistencies in reporting between States as it is possible that many States only reported these hours as “hours of participation beyond the statutory limit,” and not also as “hours of participation in non-countable activities that move the family toward self-sufficiency.”
These data may understate the number of WEIs with participation in non-countable activities, because States and/or their vendors typically do not collect information about such activities and there is little incentive to invest resources in doing so. As New Hampshire explained:
This is a significant change for field staff. We were not able to set this new expectation for field staff until May of this year, so March data did not get entered into the computer system. Unfortunately, for the month of March, we are not able to fully document all the efforts our families make to move towards self-sufficiency. It is expected that we will see non-countable hours reported in the quarterly submission of this data due in August of this year.
Similarly, officials in Nevada observed:
It is important to note States have not been required to report on non-countable activities or non-reported countable activities prior to this date. This was a new concept for our staff in March and may have resulted in underreporting of some activity hours. Additional clarification has been provided to staff for the upcoming report period. In addition, our employment and training case management system utilized to collect TANF Data Reporting data is not designed to capture this additional data, nor was there sufficient time and resources to modify the system. All data for this report was reported and collated manually.
And, in Georgia:
The new requirement for States to record hours of non-countable activities that move the family toward self-sufficiency have been documented by Georgia, but have not been a part of its reporting requirements. What that means is that these non-countable activities although documented by the local County DFCS Field staff, the State does not have coding system or structured report that captures this data, so Georgia will not be able to report those hours to the [HHS].
Georgia is expecting to better document and report the hours for non-countable activities in the near future. Local County DFCS Field staff work diligently to gather paper verifications for the hours clients participate in countable activities.
| STATE | WEIs with Hours of Participation in Non-Countable Activities That Move a Family Toward Self-Sufficiency | High School or GED | Adult Basic Education | Post-Secondary Education | Treatment Activities | Family Life Skills Activities | Accessing Work Support Activities | In Assessment | Other | Total Hours in Non-Countable Activities That Move a Family Toward Self-Sufficiency | Average Hours of Participation in Activities That Move a Family Toward Self-Sufficiency |
|---|---|---|---|---|---|---|---|---|---|---|---|
UNITED STATES |
71,323 |
792,826 |
49,985 |
60,885 |
687,239 |
408,303 |
69,136 |
75,898 |
54,472 |
2,198,744 |
30.83 |
ALABAMA |
412 |
0 |
0 |
17,880 |
0 |
0 |
0 |
0 |
15,161 |
33,041 |
80.20 |
ALASKA |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0.00 |
ARIZONA |
789 |
1,794 |
549 |
0 |
142 |
2,458 |
0 |
72 |
7,142 |
12,157 |
15.41 |
ARKANSAS |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0.00 |
CALIFORNIA |
8,264 |
348,518 |
0 |
0 |
0 |
0 |
0 |
33,058 |
1,928 |
383,504 |
46.41 |
COLORADO |
716 |
12,853 |
645 |
0 |
2,035 |
0 |
0 |
245 |
0 |
15,778 |
22.04 |
CONNECTICUT |
385 |
0 |
0 |
0 |
0 |
2,628 |
68 |
1,172 |
0 |
3,868 |
10.05 |
DELAWARE |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0.00 |
DIST. OF COL. |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0.00 |
FLORIDA |
2,603 |
0 |
1,621 |
0 |
0 |
0 |
113 |
11,090 |
0 |
12,824 |
4.93 |
GEORGIA |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0.00 |
GUAM |
NR |
NR |
NR |
NR |
NR |
NR |
NR |
NR |
NR |
NR |
NR |
HAWAII |
53 |
0 |
0 |
107 |
15 |
0 |
0 |
178 |
0 |
300 |
5.66 |
IDAHO |
76 |
0 |
0 |
0 |
18 |
0 |
0 |
0 |
8,243 |
8,261 |
108.70 |
ILLINOIS |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0.00 |
INDIANA |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0.00 |
IOWA |
143 |
0 |
0 |
0 |
0 |
499 |
0 |
0 |
0 |
499 |
3.49 |
KANSAS |
3,128 |
0 |
1,031 |
0 |
58,150 |
748 |
0 |
2,925 |
0 |
62,854 |
20.09 |
KENTUCKY |
139 |
0 |
453 |
0 |
4,338 |
0 |
0 |
0 |
0 |
4,791 |
34.47 |
LOUISIANA |
457 |
0 |
0 |
324 |
1,466 |
507 |
222 |
343 |
1,044 |
3,906 |
8.55 |
MAINE |
13 |
32 |
177 |
0 |
0 |
0 |
0 |
0 |
0 |
209 |
16.08 |
MARYLAND |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0.00 |
MASSACHUSETTS |
96 |
0 |
0 |
0 |
4,110 |
0 |
0 |
902 |
0 |
5,012 |
52.21 |
MICHIGAN |
74 |
1,117 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
1,117 |
15.09 |
MINNESOTA |
859 |
0 |
0 |
0 |
1,861 |
429 |
0 |
1,646 |
1,646 |
5,582 |
6.50 |
MISSISSIPPI |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0.00 |
MISSOURI |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0.00 |
MONTANA |
275 |
0 |
0 |
0 |
5,304 |
7,044 |
0 |
0 |
0 |
12,348 |
44.90 |
NEBRASKA |
8 |
0 |
0 |
1,084 |
0 |
0 |
0 |
0 |
0 |
1,084 |
135.50 |
NEVADA |
968 |
903 |
722 |
0 |
5,173 |
46 |
211 |
995 |
1,378 |
9,428 |
9.74 |
NEW HAMPSHIRE |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0.00 |
NEW JERSEY |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0.00 |
NEW MEXICO |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0.00 |
NEW YORK |
11,703 |
247,247 |
0 |
24,015 |
31,284 |
0 |
16,157 |
9,403 |
17,138 |
345,244 |
29.50 |
NORTH CAROLINA |
194 |
9,298 |
0 |
0 |
0 |
0 |
568 |
164 |
0 |
10,030 |
51.70 |
NORTH DAKOTA |
14 |
88 |
47 |
0 |
144 |
4 |
14 |
0 |
85 |
382 |
27.29 |
OHIO |
2,335 |
0 |
0 |
0 |
25,945 |
4,929 |
0 |
0 |
0 |
30,874 |
13.22 |
OKLAHOMA |
372 |
0 |
30,179 |
0 |
0 |
0 |
0 |
0 |
0 |
30,179 |
81.13 |
OREGON |
14,391 |
2,798 |
0 |
0 |
953 |
5,716 |
0 |
0 |
0 |
9,467 |
0.66 |
PENNSYLVANIA |
6,437 |
128,877 |
1,234 |
17,243 |
37,647 |
65,102 |
11,719 |
127 |
0 |
261,949 |
40.69 |
PUERTO RICO |
E |
E |
E |
E |
E |
E |
E |
E |
E |
E |
E |
RHODE ISLAND |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0.00 |
SOUTH CAROLINA |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0.00 |
SOUTH DAKOTA |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0.00 |
TENNESSEE |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0.00 |
TEXAS |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0.00 |
UTAH |
504 |
20,784 |
3,605 |
0 |
18,037 |
796 |
1,181 |
7,087 |
0 |
51,490 |
102.16 |
VERMONT |
715 |
0 |
129 |
232 |
3,260 |
1,233 |
1,125 |
712 |
500 |
7,191 |
10.06 |
VIRGIN ISLANDS |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0.00 |
VIRGINIA |
119 |
18,517 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
18,517 |
155.61 |
WASHINGTON |
8,217 |
0 |
9,593 |
0 |
30,705 |
253,749 |
7,175 |
5,640 |
10 |
306,872 |
37.35 |
WEST VIRGINIA |
155 |
0 |
0 |
0 |
0 |
1,034 |
963 |
139 |
32 |
2,168 |
13.99 |
WISCONSIN |
6,693 |
0 |
0 |
0 |
453,742 |
61,381 |
29,620 |
0 |
165 |
544,908 |
81.41 |
WYOMING |
16 |
0 |
0 |
0 |
2,910 |
0 |
0 |
0 |
0 |
2,910 |
181.88 |
| NR = Not reported. | |||||||||||
| E= Excluded from this report due to data errors. | |||||||||||
| Link to MS Excel data file (cra_report-to-congress.xls) | |||||||||||
Conclusions for Engagement Reporting
The data collection provided by the ACF-812 provided a more comprehensive understanding of how States are engaging WEIs on their caseloads and applying different methods (outside of the Federal work participation structure) for moving a family towards self-sufficiency; we also gained some clarity as to why some WEIs have zero hours of participation. Taking Pennsylvania as an example, it explains:
In addition to the clients that would meet the current WPR goals if the hours from the ACF-812 were countable toward the WPR, the data gives a broader picture of the overall activities of TANF clients. Many more TANF clients are participating in activities that move them toward self-sufficiency than the narrowly defined WPR requirements would lead one to believe, and this raises long-standing and unresolved questions regarding a fair and accurate method of measuring if and how TANF families are moving themselves toward self-sufficiency.
New York reflected similarly, stating:
Using the approach above, we see a picture of work activity in New York showing substantially more persons engaged in work activities than would be implied by a strict application of the federal work participation rate as a standard of engagement. Here, we found that the percentage of persons engaged in activities increased from 22.5 percent using the federal standard, to 55.5 percent when partial participation, or participation in activities either over the federal allowable time limits, not meeting documentation standards, not reported in the normal federal reporting or not allowed under federal statute, are considered. Further, for another 39.4 percent there is a specific reason for nonparticipation, primarily persons sanctioned or in the process of being sanctioned for failure to engage in work activities, or those exempt from participation. Overall, only 5.1 percent of WEIs are not participating at all without an enumerable reason for their non‐participation.
Future Research on Participation and Engagement
The Office of Planning, Research and Evaluation at the Administration for Children and Families will begin a study in October 2011 to describe the circumstances surrounding non-participation in work activities in selected States reflected in data reported to OFA. The objective of the study will be to explain the circumstances of individuals who have no hours of participation and the principal reasons for such non-participation. The research will entail field research in selected States, with a goal of providing additional insight into these issues. HHS plans to issue a report from the study in the summer of 2012.
TANF Financial Data
Each year, States receive TANF grants set at about $16.5 billion total per year. The law establishing TANF also created two additional funding streams: (1) supplemental grants for States with high population growth or low welfare grants ($319 million per year for the 17 States that have qualified for these grants)16; and (2) a $2 billion Contingency Fund for States that experienced rising unemployment rates or food stamp (now SNAP) caseloads.17 In addition, the American Recovery and Reinvestment Act of 2009 (ARRA) created an additional Emergency Contingency Fund, which provided up to $5 billion for FY 2009 and FY 2010 for jurisdictions that experienced an increase in assistance caseloads or certain types of expenditures. States are also required to meet a “maintenance-of-effort (MOE) requirement” by demonstrating spending for low-income families with children, of at least 80 percent of the amount of State funds used in FY 1994 for AFDC and related child care and training programs (about $11 billion, nationally). (The “MOE requirement” is reduced to 75 percent for a State if it meets its work participation rate requirements for the year).
TANF funds can be spent on “assistance” and “non-assistance.” “Assistance” includes cash and other benefits designed to meet a family’s ongoing basic needs. The major TANF program requirements (e.g., work requirements, time limits on Federal assistance, and data reporting) apply only to families receiving “assistance.” “Non-assistance” benefits are those that do not fall within the definition of assistance, and include expenditures such as child care, transportation, and other work supports provided to employed families, non-recurrent short-term benefits, Individual Development Accounts, refundable earned income tax credits, work subsidies to employers, and services such as education and training, case management, job search, and counseling. In FY 2009, total Federal TANF and State MOE expenditures on “assistance” amounted to $10.8 billion, compared with $19.7 billion that was spent on “non-assistance.”
Financial Data Reporting Requirements
States are required to submit quarterly reports to HHS summarizing the amount and purposes for which TANF and State MOE funds were spent. The ACF–196 Federal reporting form is due 45 days after the end of the reporting quarter, although States often make adjustments or corrections to this data after the deadline. The form requires reporting of five types of expenditures: (1) Federal TANF expenditures, (2) MOE State expenditures in TANF, (3) MOE expenditures in separate State programs, (4) Federal Contingency Fund expenditures, and (5) Federal Emergency Contingency Fund expenditures (beginning with FY 2009). These expenditures are divided into two primary sections: “assistance” and “non-assistance,” as described in Table 14 below. The table includes line references to each type of expenditure.
Assistance Expenditures (Line 5) |
Non-assistance Expenditures (Line 6) |
|---|---|
Basic assistance (line 5.a.) |
Work related activities (line 6.a.) |
Child care (for those not employed) (line 5.b.) |
Child care (line 6.b.) |
Transportation and other supportive services (for those not employed) (line 5.c.) |
Transportation (line 6.c.) |
Authorized solely under prior law (line 5.d.) |
Individual Development Accounts (line 6.d.) |
Refundable Earned Income Tax Credit (line 6.e.) |
|
Other refundable tax credits (line 6.f.) |
|
Non-recurrent short-term benefits (line 6.g.) |
|
Prevention of out-of-wedlock pregnancies (line 6.h.) |
|
Two-parent family formation and maintenance (line 6.i.) |
|
Administration (line 6.j.) |
|
Systems (line 6.k.) |
|
Authorized solely under prior law (line 6.l.) |
|
Other (line 6.m.) |
The Claims Resolution Act required additional State reporting concerning two categories for which there is only limited reported information – “other non-assistance” (line 6.m.) and “authorized solely under prior law” (lines 5.d. and 6.l.), which may be either “assistance” or “non-assistance.”
“Other non-assistance” involves expenditures that meet a TANF purpose, but do not fall within the definition of “assistance” or any other listed category. In FY 2009, this accounted for $4.6 billion in total Federal and State MOE expenditures. As an addendum to the 4th quarter report, States must provide a narrative description of the activities and associated expenditures for such “other” expenditures, although this reporting has often been incomplete. Nevertheless, these reports suggest that States have used funds reported in this category for a wide variety of benefits and services, including child welfare services, diversion, emergency assistance, substance abuse treatment, services for victims of domestic violence, before- and after-school initiatives, and payments to food banks and homeless shelters.
Expenditures “authorized solely under prior law” do not meet a TANF purpose, but are allowed pursuant to Section 404(a)(2) of the Social Security Act, which permits States to use TANF funds in any manner that was allowed under the prior Title IV-A (the Aid to Families with Dependent Children [AFDC] Program) or IV-F (Job Opportunities and Basic Skills Training Program) on September 30, 1995, or at State option, August 21, 1996.18
In FY 2009, this category accounted for about $1.7 billion in total Federal expenditures, with $600 million for assistance and $1.1 billion for non-assistance. (MOE expenditures cannot be used for assistance or non-assistance “authorized solely under prior law” category). States reporting expenditures on these lines (i.e., 5.d. or 6.l.) must include a footnote explaining the nature of these benefits and reference the State plan provision under which they were authorized; however, this reporting also has been frequently incomplete. This category mainly involves juvenile justice and non-relative foster care expenditures that were permissible under Emergency Assistance Programs in effect at the time that AFDC was repealed.
Financial Data Trends in Past Years
Historical data provides information concerning trends in the amount of TANF and MOE spending for “other” non-assistance and expenditures “authorized solely under prior law.” Use of TANF funds for “other” non-assistance grew between FY 1997 and FY 2000, but spending in this category has changed little since that time. MOE spending for “other” non-assistance has fluctuated over time, but grew from $808 million in FY 2004 to $2.6 billion in FY 2009.
The first year of reported spending for activities “authorized solely under prior law” (both assistance and non-assistance) was in FY 1999, when it accounted for less than one percent of total TANF and MOE spending. Since FY 2000, spending in this category has remained virtually stable, growing just one-tenth of one percent of total spending - from $1.2 billion in FY 2000 (4.9 percent of total TANF and MOE spending, including transfers to Social Services Block Grant and Child Care Development Fund) to $1.7 billion in FY 2009 (5.0 percent of total TANF and MOE spending, including transfers to Social Services Block Grant and Child Care Development Fund).
| YEAR | "Other" Non-Assistance Federal | "Other" Non-Assistance MOE | Total "Other" Non-Assistance | Assistance ASUPL | Non-Assistance ASUPL | Total ASUPL | Total |
|---|---|---|---|---|---|---|---|
1997 |
$838,088,425 |
$940,631,420 |
$1,778,719,845 |
$0 |
$0 |
$0 |
$1,778,719,845 |
1998 |
$1,451,662,579 |
$1,373,984,825 |
$2,825,647,404 |
$0 |
$0 |
$0 |
$2,825,647,404 |
1999 |
$1,791,154,357 |
$1,668,315,530 |
$3,459,469,887 |
$28,844,617 |
$0 |
$28,844,617 |
$3,488,314,504 |
2000 |
$1,090,607,332 |
$877,950,658 |
$1,968,557,990 |
$900,339,325 |
$324,699,801 |
$1,225,039,126 |
$3,193,597,116 |
2001 |
$2,068,830,649 |
$1,085,291,179 |
$3,154,121,828 |
$960,272,045 |
$665,359,544 |
$1,625,631,589 |
$4,779,753,417 |
2002 |
$1,743,911,551 |
$1,018,163,552 |
$2,762,075,103 |
$1,022,435,536 |
$768,881,717 |
$1,791,317,253 |
$4,553,392,356 |
2003 |
$1,947,499,286 |
$941,242,525 |
$2,888,741,811 |
$801,605,456 |
$844,918,075 |
$1,646,523,531 |
$4,535,265,342 |
2004 |
$2,035,405,641 |
$808,404,549 |
$2,843,810,190 |
$817,146,702 |
$973,776,280 |
$1,790,922,982 |
$4,634,733,172 |
2005 |
$1,831,754,572 |
$969,867,473 |
$2,801,622,045 |
$592,848,551 |
$945,359,998 |
$1,538,208,549 |
$4,339,830,594 |
2006 |
$1,786,988,636 |
$1,324,736,275 |
$3,111,724,911 |
$563,112,172 |
$749,946,846 |
$1,313,059,018 |
$4,424,783,929 |
2007 |
$1,936,346,582 |
$1,478,291,375 |
$3,414,637,957 |
$701,019,338 |
$813,695,475 |
$1,514,714,813 |
$4,929,352,770 |
2008 |
$1,785,028,480 |
$1,971,528,861 |
$3,756,557,341 |
$519,498,379 |
$1,102,726,164 |
$1,622,224,543 |
$5,378,781,884 |
2009 |
$1,936,568,075 |
$2,633,080,996 |
$4,569,649,071 |
$575,016,148 |
$1,091,569,269 |
$1,666,585,417 |
$6,236,234,488 |
Link to MS Excel data file (cra_report-to-congress.xls) |
|||||||
Together, these categories comprised over $6.2 billion, or 18.6 percent of total TANF and MOE spending in FY 2009.
Given these trends, it is important that we gain a better understanding of how States are actually spending Federal TANF and State MOE funds reported in these categories.
Prior Research on Financial Data
In FY 2008, HHS’s Office of Planning Research and Evaluation contracted with MPR to examine how States were spending Federal TANF funds reported as “other” and “authorized solely under prior law” on the ACF-196, the TANF financial reporting form, in FY 2007.19 MPR collected data from 47 States about key spending areas, 28 of whom provided dollar amounts as well. The report identified the following key spending areas:
- Child welfare, such as in-home services/family preservation, child protective services, foster care/kinship care, and adoption services (31 States).
- Personal supports, such as mental health and addiction services, health/disabilities services, and domestic violence services (24 States).
- Emergency assistance, such as housing, energy, food, clothing, and transportation (20 States).
- Education and prevention programs, such as education and youth programs, teen pregnancy prevention, and early childhood care and education (19 States).
- Miscellaneous activities, such as services to special populations, employment services and work supports, funds to faith-based and community organizations, marriage/parenting initiatives, child support, and adult/postsecondary education (33 States).
MPR noted that the ACF-196 provides several broad categories for State reporting (see Table 14 above), but some types of expenditures can be listed in more than one category, depending on how the State views the purpose of the expenditures. For example, some States have classified early childhood education programs as “child care,” while others have classified them in the “other” category because they consider the activities to go beyond the provision of child care to include educational instruction and other activities.20
Claims Resolution Act Financial Data Reporting
On February 14, 2011, HHS issued a Program Instruction (TANF-ACF-PI-2011-04) and a new reporting form -- the Detailed Expenditure Form: ACF-196 Supplement (ACF-196(SUP)) -- to implement the spending-related requirements of the Claims Resolution Act. States are required to collect disaggregated financial expenditure data for funds that have been reported in the “other” (line 6m) and assistance and non-assistance “authorized solely under prior law” (lines 5d and 6l, respectively) categories on the ACF-196, the TANF Financial Report. All States must complete and submit the Detailed Expenditure Form.
When deriving the subcategories for reporting the disaggregated expenditures, HHS used the list of spending categories in the MPR report referenced above as a starting point, making changes to the list based on other reports of State expenditures. The reporting instructions do not define these subcategories, but provide examples of the types of expenditures that could be included or have been included in the past. Part 1 asks States to report expenditures for each subcategory by funding source, e.g. Federal TANF block grant, State MOE expenditures in TANF, etc. In Part 2 of the ACF-196(SUP) form, States are required to provide a short description of the activities included in each subcategory (see Appendix IV for ACF-196(SUP) instructions). Furthermore, for activities “authorized solely under prior law,” they are to provide a reference to the State plan provision under which the activities were authorized.
A copy of the ACF-196(SUP) forms submitted by each State is provided in Appendix V of this report. Every State submitted the form by June 15, 2011.
There are some caveats to consider in analyzing the financial data presented in this report. While ongoing reporting on the ACF-196 requires States to report obligated expenditures for a quarter and may include adjustments to expenditures reported in past quarters for a particular category, the ACF-196(SUP) required States to report actual expenditures for just one month. According to the accompanying instructions, if actual expenditures are not available for the month of March 2011 because data is only available on a quarterly basis, a State could report one-third of its actual January-March 2011 expenditures for each subcategory. Furthermore, some States indicated that it would be difficult to obtain the requested data in the required timeframe, particularly if data had to be first obtained from counties or contractors; as a result, the expenditure data reported as of June 15, 2011, may reflect incomplete data for the month of March.
In addition, it was clear from the MPR report above that in many cases, States were reporting as “other” non-assistance certain expenditures that should more appropriately be reported in other categories on the ACF-196. For example, teen pregnancy prevention was sometimes classified as “other,” even though there is a dedicated reporting category for it. And, emergency assistance expenditures reported as “other” likely could be more appropriately reported as “non-recurrent short term benefits.” However, States were encouraged to submit their reporting for March based on the same categorization approaches that they had most recently been using (i.e., not to revise and reclassify), on the premise that it would be more informative for Congress if States simply described what they were currently doing rather than engage in a reclassification process to better align with the reporting categories.
Claims Resolution Act Financial Data Findings and Analysis
Nationally, “other” non-assistance expenditures totaled $282,447,383 for March 2011, while States spent a total of $106,609,367 for assistance and non-assistance “authorized solely under prior law.”
For the entire fiscal year, spending would be $3.4 billion and $1.3 billion for “other” non-assistance and assistance and non-assistance “authorized solely under prior law,” respectively, if spending across 12 months were 12 times the spending in March. This is about $1.5 billion less than total spending in both these categories in FY 2009.
Note that many of the categories included in the ACF-196(SUP) and discussed below are actually delineated on the ACF-196 form (e.g., Teen Pregnancy/Prevention Programs). As explained above, States often report certain expenditures as “other” non-assistance even though they could report them in other categories on the ACF-196. This inconsistency in reporting between States makes it analytically ineffective to aggregate total expenditures in any one spending category and to make accurate comparisons of year-to-year data, as a State may change how it categorizes its expenditures.
A summary analysis of each category is provided below.
“Other” Non-Assistance
Forty-four States reported expenditures in “other” non-assistance, ranging from $32,712,832 in California to $403 in West Virginia. Chart 1 shows total expenditures by subcategory, broken down by funding stream, while Chart 2 conveys the number of States that reported expenditures in each subcategory. Federal funds include TANF block grant funds, contingency funds, and ARRA emergency contingency funds. State MOE funds are expended in both the TANF program and separate State programs.

Link to MS Excel data file (cra_report-to-congress.xls)

Link to MS Excel data file (cra_report-to-congress.xls)
Table 15 below summarizes expenditures in each State by subcategory.
| STATE | Total "Other" Non-Assistance | Child Welfare Payments and Services | Emergency Assistance | Domestic Violence Services | Mental Health and Addiction Services | Education and Youth Programs | Health/ Disability Services |
Teen Pregnancy/ Prevention Programs |
Early Childhood Care and Education | Employment Services and Work Supports | Marriage and Parenting Initiatives | Child Support | Adult/ Postsecondary Education |
TANF Program Expenses | Total Additional Expenditures: |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
UNITED STATES |
$282,477,383 |
$71,790,857 |
$12,497,516 |
$11,595,674 |
$13,987,555 |
$15,597,278 |
$5,414,668 |
$5,716,247 |
$20,521,808 |
$4,702,260 |
$1,510,640 |
$1,774,060 |
$21,367,613 |
$55,430,992 |
$40,570,215 |
ALABAMA |
$3,422,743 |
$958,257 |
$1,257,583 |
$0 |
$0 |
$0 |
$117,970 |
$0 |
$936,025 |
$136,342 |
$0 |
$0 |
$0 |
$16,566 |
$0 |
ALASKA |
$0 |
$0 |
$0 |
$0 |
$0 |
$0 |
$0 |
$0 |
$0 |
$0 |
$0 |
$0 |
$0 |
$0 |
$0 |
ARIZONA |
$13,537,213 |
$10,849,754 |
$648,297 |
$1,969,879 |
$8,659 |
$0 |
$0 |
$0 |
$0 |
$60,624 |
$0 |
$0 |
$0 |
$0 |
$0 |
ARKANSAS |
$499,822 |
$499,822 |
$0 |
$0 |
$0 |
$0 |
$0 |
$0 |
$0 |
$0 |
$0 |
$0 |
$0 |
$0 |
$0 |
CALIFORNIA |
$32,712,832 |
$0 |
$0 |
$1,872,261 |
$10,293,037 |
$0 |
$0 |
$2,517,425 |
$0 |
$247 |
$0 |
$45,907 |
$0 |
$16,693,257 |
$1,290,698 |
COLORADO |
$9,319,708 |
$884,914 |
$0 |
$137,550 |
$3,414 |
$0 |
$0 |
$0 |
$87,414 |
$0 |
$0 |
$0 |
$0 |
$7,349,942 |
$856,474 |
CONNECTICUT |
$13,582,623 |
$2,937,612 |
$45,500 |
$0 |
$597,793 |
$0 |
$51,434 |
$0 |
$5,935,029 |
$0 |
$0 |
$0 |
$0 |
$98,343 |
$3,916,912 |
DELAWARE |
$0 |
$0 |
$0 |
$0 |
$0 |
$0 |
$0 |
$0 |
$0 |
$0 |
$0 |
$0 |
$0 |
$0 |
$0 |
DIST. OF COL. |
$1,153,440 |
$0 |
$896,996 |
$101,384 |
$0 |
$0 |
$0 |
$133,334 |
$0 |
$21,726 |
$0 |
$0 |
$0 |
$0 |
$0 |
FLORIDA |
$22,630,765 |
$19,206,556 |
$22,409 |
$429,402 |
$1,123,044 |
$0 |
$0 |
$20,000 |
$0 |
$0 |
$902 |
$0 |
$0 |
$1,756,107 |
$72,345 |
GEORGIA |
$23,419,076 |
$16,388,641 |
$680,795 |
$1,316,655 |
$48,639 |
$4,576,618 |
$0 |
$0 |
$0 |
$287,056 |
$0 |
$0 |
$0 |
$120,672 |
$0 |
GUAM |
$0 |
$0 |
$0 |
$0 |
$0 |
$0 |
$0 |
$0 |
$0 |
$0 |
$0 |
$0 |
$0 |
$0 |
$0 |
HAWAII |
$2,975,950 |
$0 |
$0 |
$0 |
$0 |
$0 |
$0 |
$0 |
$0 |
$0 |
$0 |
$0 |
$0 |
$0 |
$2,975,950 |
IDAHO |
$92,587 |
$24,333 |
$0 |
$0 |
$0 |
$0 |
$0 |
$0 |
$0 |
$0 |
$0 |
$13,481 |
$0 |
$54,773 |
$0 |
ILLINOIS |
$15,813,155 |
$416,281 |
$32,271 |
$3,660,305 |
$0 |
$3,671,450 |
$0 |
$2,725,974 |
$4,926,390 |
$0 |
$0 |
$0 |
$207,953 |
$100,271 |
$72,260 |
INDIANA |
$14,480,118 |
$9,229,243 |
$512,114 |
$0 |
$0 |
$0 |
$2,198,666 |
$0 |
$0 |
$0 |
$0 |
$0 |
$0 |
$0 |
$2,540,095 |
IOWA |
$0 |
$0 |
$0 |
$0 |
$0 |
$0 |
$0 |
$0 |
$0 |
$0 |
$0 |
$0 |
$0 |
$0 |
$0 |
KANSAS |
$2,291,488 |
$1,084,403 |
$0 |
$271,551 |
$97,147 |
$0 |
$0 |
$24,955 |
$390,709 |
$0 |
$0 |
$0 |
$0 |
$0 |
$422,723 |
KENTUCKY |
$3,120,968 |
$634,296 |
$0 |
$160,913 |
$0 |
$0 |
$0 |
$0 |
$112,397 |
$630,466 |
$0 |
$0 |
$0 |
$1,538,073 |
$44,823 |
LOUISIANA |
$32,499,119 |
$0 |
$65,723 |
$0 |
$0 |
$4,067,322 |
$277,635 |
$0 |
$0 |
$0 |
$0 |
$0 |
$9,982,817 |
$164,299 |
$17,941,323 |
MAINE |
$0 |
$0 |
$0 |
$0 |
$0 |
$0 |
$0 |
$0 |
$0 |
$0 |
$0 |
$0 |
$0 |
$0 |
$0 |
MARYLAND |
$0 |
$0 |
$0 |
$0 |
$0 |
$0 |
$0 |
$0 |
$0 |
$0 |
$0 |
$0 |
$0 |
$0 |
$0 |
MASSACHUSETTS |
$14,069,723 |
$0 |
$2,781,484 |
$0 |
$0 |
$0 |
$0 |
$0 |
$183,333 |
$0 |
$0 |
$0 |
$11,104,906 |
$0 |
$0 |
MICHIGAN |
$13,229,739 |
$0 |
$1,267,685 |
$0 |
$0 |
$0 |
$0 |
$0 |
$0 |
$0 |
$1,278,285 |
$0 |
$0 |
$9,076,710 |
$1,607,059 |
MINNESOTA |
$1,048,276 |
$0 |
$0 |
$0 |
$0 |
$0 |
$91,318 |
$38,663 |
$475,000 |
$0 |
$0 |
$443,295 |
$0 |
$0 |
$0 |
MISSISSIPPI |
$316,430 |
$316,425 |
$0 |
$0 |
$0 |
$0 |
$0 |
$5 |
$0 |
$0 |
$0 |
$0 |
$0 |
$0 |
$0 |
MISSOURI |
$1,961,101 |
$0 |
$0 |
$0 |
$0 |
$1,961,101 |
$0 |
$0 |
$0 |
$0 |
$0 |
$0 |
$0 |
$0 |
$0 |
MONTANA |
$275,211 |
$0 |
$0 |
$0 |
$0 |
$60,875 |
$0 |
$0 |
$0 |
$0 |
$0 |
$47,998 |
$0 |
$0 |
$166,338 |
NEBRASKA |
$318,189 |
$301,345 |
$0 |
$0 |
$0 |
$0 |
$0 |
$0 |
$0 |
$0 |
$0 |
$0 |
$0 |
$0 |
$16,844 |
NEVADA |
$1,926,939 |
$0 |
$0 |
$41,851 |
$2,520 |
$0 |
$230,452 |
$10,802 |
$0 |
$69,945 |
$0 |
$0 |
$0 |
$1,474,226 |
$97,143 |
NEW HAMPSHIRE |
$483,088 |
$323,613 |
$0 |
$0 |
$0 |
$0 |
$0 |
$0 |
$0 |
$0 |
$0 |
$0 |
$0 |
$112,812 |
$46,663 |
NEW JERSEY |
$204,114 |
$0 |
$0 |
$204,114 |
$0 |
$0 |
$0 |
$0 |
$0 |
$0 |
$0 |
$0 |
$0 |
$0 |
$0 |
NEW MEXICO |
$0 |
$0 |
$0 |
$0 |
$0 |
$0 |
$0 |
$0 |
$0 |
$0 |
$0 |
$0 |
$0 |
$0 |
$0 |
NEW YORK |
$8,587,405 |
$757,624 |
$2,007,647 |
$679,350 |
$197,040 |
$741,551 |
$50,450 |
$0 |
$0 |
$354,428 |
$8,578 |
$0 |
$71,937 |
$37,791 |
$3,681,009 |
NORTH CAROLINA |
$1,730,367 |
$1,465,961 |
$1,257 |
$24,263 |
$3,543 |
$212,078 |
$363 |
$0 |
$0 |
$21,934 |
$0 |
$0 |
$0 |
$968 |
$0 |
NORTH DAKOTA |
$4,042 |
$0 |
$0 |
$0 |
$0 |
$0 |
$0 |
$0 |
$0 |
$0 |
$0 |
$0 |
$0 |
$0 |
$4,042 |
OHIO |
$15,371,168 |
$0 |
$133,951 |
$0 |
$0 |
$129,152 |
$0 |
$0 |
$16,117 |
$2,574,555 |
$0 |
$0 |
$0 |
$12,517,393 |
$0 |
OKLAHOMA |
$2,801,036 |
$414,505 |
$0 |
$0 |
$10,347 |
$0 |
$494,565 |
$0 |
$0 |
$24,102 |
$61,928 |
$0 |
$0 |
$684,934 |
$1,110,655 |
OREGON |
$5,660,162 |
$0 |
$0 |
$433,753 |
$456,223 |
$0 |
$0 |
$0 |
$820,835 |
$0 |
$0 |
$0 |
$0 |
$3,601,415 |
$347,936 |
PENNSYLVANIA |
$0 |
$0 |
$0 |
$0 |
$0 |
$0 |
$0 |
$0 |
$0 |
$0 |
$0 |
$0 |
$0 |
$0 |
$0 |
PUERTO RICO |
$1,610,759 |
$0 |
$0 |
$0 |
$0 |
$0 |
$0 |
$0 |
$0 |
$0 |
$0 |
$0 |
$0 |
$0 |
$1,610,759 |
RHODE ISLAND |
$1,487,514 |
$0 |
$1,299,810 |
$0 |
$0 |
$0 |
$0 |
$0 |
$0 |
$0 |
$0 |
$0 |
$0 |
$0 |
$187,704 |
SOUTH CAROLINA |
$3,948,548 |
$3,650,249 |
$7,750 |
$144,151 |
$0 |
$0 |
$0 |
$0 |
$0 |
$0 |
$146,398 |
$0 |
$0 |
$0 |
$0 |
SOUTH DAKOTA |
$109,393 |
$0 |
$0 |
$0 |
$57,754 |
$0 |
$0 |
$0 |
$0 |
$0 |
$0 |
$0 |
$0 |
$0 |
$51,639 |
TENNESSEE |
$2,924,925 |
$0 |
$0 |
$0 |
$0 |
$0 |
$0 |
$0 |
$1,878,685 |
$0 |
$0 |
$1,016,983 |
$0 |
$29,257 |
$0 |
TEXAS |
$6,840,031 |
$880,174 |
$0 |
$0 |
$0 |
$0 |
$1,196,534 |
$0 |
$4,759,874 |
$0 |
$3,449 |
$0 |
$0 |
$0 |
$0 |
UTAH |
$1,707,422 |
$0 |
$833,333 |
$0 |
$0 |
$0 |
$0 |
$245,089 |
$0 |
$0 |
$0 |
$0 |
$0 |
$0 |
$629,000 |
VERMONT |
$0 |
$0 |
$0 |
$0 |
$0 |
$0 |
$0 |
$0 |
$0 |
$0 |
$0 |
$0 |
$0 |
$0 |
$0 |
VIRGIN ISLANDS |
$0 |
$0 |
$0 |
$0 |
$0 |
$0 |
$0 |
$0 |
$0 |
$0 |
$0 |
$0 |
$0 |
$0 |
$0 |
VIRGINIA |
$899,358 |
$42,602 |
$0 |
$148,292 |
$0 |
$0 |
$705,281 |
$0 |
$0 |
$0 |
$0 |
$0 |
$0 |
$3,183 |
$0 |
WASHINGTON |
$879,821 |
$0 |
$0 |
$0 |
$0 |
$0 |
$0 |
$0 |
$0 |
$0 |
$0 |
$0 |
$0 |
$0 |
$879,821 |
WEST VIRGINIA |
$403 |
$0 |
$403 |
$0 |
$0 |
$0 |
$0 |
$0 |
$0 |
$0 |
$0 |
$0 |
$0 |
$0 |
$0 |
WISCONSIN |
$1,772,167 |
$68,749 |
$2,508 |
$0 |
$1,088,395 |
$0 |
$0 |
$0 |
$0 |
$406,119 |
$0 |
$206,396 |
$0 |
$0 |
$0 |
WYOMING |
$758,445 |
$455,498 |
$0 |
$0 |
$0 |
$177,131 |
$0 |
$0 |
$0 |
$114,716 |
$11,100 |
$0 |
$0 |
$0 |
$0 |
Link to MS Excel data file (cra_report-to-congress.xls) |
|||||||||||||||
An analysis of the “other” non-assistance subcategories is provided below; each highlights the narrative provided by the State with the most spending in the subcategory.
Child Welfare Payments and Services
Child Welfare Payment and Child Welfare Services were collected on lines 1.a. and 1.b. on the ACF-196(SUP) data collection form, respectively. According to instructions provided by HHS, Child Welfare Payments include “services such as foster care maintenance payments, guardianship and adoption subsidies, and associated costs,” while Child Welfare Services consist of “activities such as in-home services, family preservation, child protective services, and adoption services.”
States may allocate TANF funds towards various child welfare activities, including:
- Collaborating with the child welfare agency to identify and serve children in needy families who are at risk of abuse or neglect (e.g., family counseling, vocational and educational counseling, and counseling directed at specific problems such as developmentally disabled needs)
- Providing cash assistance to needy caretaker relatives or providing appropriate supportive services (e.g., referral services, child care, transportation, and respite care) to caregiver relatives who can provide a safe place for a needy child to live and avoid his or her placement in foster care
- Screening families who have been sanctioned under TANF for risk of child abuse or neglect and providing case management services designed to eliminate barriers to compliance.
While States are able to fund many child welfare activities with IV-E funds (i.e., Federal Payments for Foster Care and Adoption Assistance), often times TANF funds may be used to provide payments and services that are not reimbursable under IV-E, or to supplement IV-E-funded assistance.
Upon review of narrative descriptions provided in Part 2 of the ACF-196(SUP) form, we realized that some States confused these two subcategories. For example, Idaho described expenditures listed under Child Welfare Payments as “family preservation activities” while most other States reported these types of expenditures under Child Welfare Services. Conversely, Arkansas reported expenditures related to the following servicesunder Child Welfare Payments: “Kinship Caregivers Services begin with a family support assessment to determine which services are needed mostly by each individual family... services range from stabilization, strengthening and preservation activities, after school activities, tutoring, literacy training and assistance with guardianship petitions for the kinship caregivers.” As a result, we felt that it was most appropriate to collapse expenditures related to these two subcategories so as to gain a more accurate analysis of the amount States are expending on child welfare activities as a whole.21
Twenty-three States reported expenditures in either Child Welfare Payments or Child Welfare Services. Total spending in these two subcategories equaled $71,790,857, or 25.4 percent of “other” non-assistance for March 2011. Expenditures ranged from $24,333 in Idaho to $19,206,556 in Florida.
Georgia states that its expenditures include foster parent and adoptive parent recruitment, legal services, “Grandparents Raising Grandchildren,” supervised family foster care, and family assessment.
The State with the highest expenditures reported under Child Welfare Services was Florida. Florida’s child welfare services include the following activities: “Adoption services, protective investigations, protective investigation training, case management, community based care monitoring, healthy families, prevention services and protective services.”
Emergency Assistance
Under Emergency Assistance, States were instructed to report “activities to remedy emergency or unusual crisis situations such as clothing distributions, remedial care, information referral, counseling, securing family shelter, legal services, and any other services that meet needs attributable to such situations.”
Nineteen States reported expenditures for Emergency Assistance. Total spending equaled $12,497,516, or 4.4 percent of “other” non-assistance for March 2011. Expenditures ranged from $403 in West Virginia to $2,781,484 in Massachusetts.
Massachusetts described its expenditures in this subcategory as related to homelessness prevention and sheltering services. It described two programs: “Housing Search,” which is “a short-term, supportive service whose goal is to find safe housing for the homeless” and “Housing Stabilization and Flexible Funds,” which “offer rental assistance for up to 1 year.”
Domestic Violence Services
According to instructions for the ACF-196(SUP) form, Domestic Violence Services include “activities such as information and referral services, short-term emergency shelter or transitional supportive housing for those leaving an abusive relationship, case management, counseling, investigations, and other protective services.”
Sixteen States reported expenditures for Domestic Violence Services. Total spending equaled $11,595,674, or 4.1 percent of “other” non-assistance for March 2011. Expenditures ranged from $24,263 in North Carolina to $3,660,305 in Illinois.
Illinois’s expenditures relate to “Services to victims of domestic violence and their children including shelter; hotlines; individual and group counseling; advocacy; information; referral; transportation; school prevention programs; public education, and professional training.”
Mental Health and Addiction Services
On the ACF-196(SUP) form, expenditures related to “activities such as assessment, referral services, individual and group counseling, and residential treatment services” are reported under the subcategory of Mental Health and Addiction Services.
Fourteen States reported expenditures for Mental Health and Addiction Services. Total spending equaled $13,987,555, or 5.0 percent of “other” non-assistance for March 2011. Expenditures ranged from $2,520 in Nevada to $10,293,037 in California.
California described expenditures in this subcategory as “treatment services to Kids (CalWorks) program, [including] medical/mental health exam [and] group counseling.”
Education and Youth Programs
Under Education and Youth Programs, States were instructed to report “activities such as after-school and community-based programs for youth, school-related social services, and mentoring/tutoring programs.”
Nine States reported expenditures for Education and Youth Programs. Total spending equaled $15,597,278, or 5.5 percent of “other” non-assistance for March 2011. Expenditures ranged from $60,875 in Montana to $4,576,617 in Georgia.
Georgia listed numerous programs for which it allocated funds in this subcategory, including “Programs for out-of-school youth initiative; GA Alliance of Boys and Girls Club; State Dept of Ed Comm. Base Org; Afterschool Care - Level 2; Afterschool Service [for] TANF [Eligibles].” It did not provide descriptive detail of the activities involved in each program.
Health/Disability Services
Health/Disability Services include “activities such as outreach to children for immunization, disability assessment and evaluation, vocational rehabilitation services, family service planning for physical and developmental disabilities, respite care for caregivers of those with intellectual disabilities, and non-medical services to allow disabled children to remain in the home.” Note that while TANF funds may not be used for medical services other than pre-pregnancy family planning services, there is no similar restriction on counting expenditures for medical services toward MOE (though a State may not count its State Medicaid match toward MOE requirements).
Eleven States reported expenditures for Health/Disability Services. Total spending equaled $5,414,668, or 1.9 percent of “other” non-assistance for March 2011. Expenditures ranged from $363 in North Carolina to $2,198,666 in Indiana.
Indiana described these expenditures as “’Early Intervention/First Steps’ for infants, toddlers and their families [and] services for children 0-3 years who are developmentally vulnerable [that are] intended to prevent or minimize disabilities with the goal of maximizing the potential of these children so they can function as contributing members of society.”
Teen Pregnancy/Prevention Programs
Under Teen Pregnancy/Prevention Programs, States were asked to report expenditures related to “activities such as family-planning, home-visiting services, and parenting education.”
Eight States reported expenditures for Teen Pregnancy/Prevention Programs. Total spending equaled $5,716,247, or 2.0 percent of “other” non-assistance for March 2011. Expenditures ranged from $10,802 in Nevada to $2,725,974 in Illinois.
Illinois stated that these expenditures related to the following programs: “Parents Too Soon,” which involves “counseling and other services for young parents, including counseling to help prevent further teen pregnancies; “Teen Parent,” which provides “services [that] help parents under age 19 stay in school, develop parenting skills, become more self-sufficient and increase self-esteem”; “Healthy Families,” which are “intensive home visiting to families at risk of child abuse or neglect, targeting new parents, and providing services designed to promote healthy child development, strengthen parent-child relationships, prevent further teen pregnancies, as well as coping with stress, and supporting parents as the child’s first teacher”; and “DCFS Teen Parent Services” that provide “the overall planning, delivery and evaluation of comprehensive, quality services to pregnant and parenting wards and their children who reside in the state of Illinois.”
Early Childhood Care and Education
The subcategory of Early Childhood Care and Education includes “activities such as pre-K, Head Start/Early Head Start, other school readiness programs, and early childhood home visitation.”
Twelve States reported expenditures for Early Childhood Care and Education. Total spending equaled $20,521,808, or 7.3 percent of “other” non-assistance for March 2011. Expenditures ranged from $16,117 in Ohio to $5,935,029 in Connecticut.
Connecticut included its “School Readiness” initiative in this subcategory, which “is designed to ensure that children from low-income families have access to high-quality early learning experiences by combining the strengths and resources of the public and private child care and school systems. Funds are made available to School Readiness Councils in communities with large numbers of low-income children. The Councils assess community needs, identify gaps, and allocate funds. Each Council is allocated funds to increase the number of 3- and 4-year old children served in early care and education programs and to improve the quality of those services. The Councils are required to ensure that full-day early childhood care and education services are available year-round. Additionally, funds are made available on a statewide basis to train new early childhood teachers. These services are offered on behalf of families with a gross income less than seventy-five percent (75%) of the State Median Income.”
Employment Services and Work Supports
According to ACF-196(SUP) instructions, States were to report expenditures related to “activities such as employment preparation and work supports (e.g., transportation services and purchase of tools, uniforms, or work clothes)” under Employment Services and Work Supports.
Thirteen States reported expenditures for Employment Services and Work Supports. Total spending equaled $4,702,260, or 1.7 percent of “other” non-assistance for March 2011. Expenditures ranged from $247 in California to $2,574,555 in Ohio.
Ohio’s expenditures were related to “The State of Ohio Works First Program, [which] requires participants to engage in work activities based on a Self-Sufficiency Contract when the assistance group contains an adult or minor head-of-household. The programs encourage employment while it meets temporary needs through the provision of cash assistance. Subsidized employment is also provided to some participants in the program.”
Marriage and Parenting Initiatives
Expenditures for Marriage and Parenting Initiatives related to “activities such as life-skills education, peer-group instruction, and parenting workshops.”
Seven States reported expenditures for Marriage and Parenting Initiatives. Total spending equaled $1,510,640, or 0.5 percent of “other” non-assistance for March 2011. Expenditures ranged from $902 in Florida to $1,278,285 in Michigan.
Michigan allocated these funds for “family support services under [its] Families First program.”
Child Support
According to instructions provided by HHS, Child Support expenditures related to “activities such as child support supplemental payments and other services not covered by the State’s IV-D plan or reimbursed by IV-D.”
Six States reported expenditures for Child Support. Total spending equaled $1,774,060, or 0.6 percent of “other” non-assistance for March 2011. Expenditures ranged from $13,481 in Idaho to $1,016,983 in Tennessee.
Tennessee stated that these expenditures are related to its child support pass-through in TANF.
Adult/Postsecondary Education
On the ACF-196(SUP) form, expenditures related to Adult/Postsecondary Education include “activities such as scholarship programs, tuition payments, college tutoring services, and adult basic education programs.”
Four States reported expenditures for Adult/Postsecondary Education. Total spending equaled $21,367,613, or 7.6 percent of “other” non-assistance for March 2011. Expenditures ranged from $71,937 in New York to $11,104, 906 in Massachusetts.
Massachusetts reported that these expenditures are all related to “‘The Scholarship Reserve,’ [which] provides financial assistance to Massachusetts students enrolled in and pursuing a program of higher education in any approved public or independent college, university, school of nursing, or any other approved institution furnishing a program of higher education. The scholarship program covers a portion of the total cost of tuition and others costs associated with attending the institution. These costs include all related expenses such as room and board, health insurance, travel expenses, personal expenses. The expenditures documented in this claim have been reasonably calculated to include only the cost of attending courses and pursuing higher educational attainment.”
TANF Program Expenses
TANF Program Expenses related to “program management and related expenditures.”
Twenty States reported expenditures for TANF Program Expenses. Total spending equaled $55,430,992, or 19.6 percent of “other” non-assistance for March 2011. Expenditures ranged from $968 in North Carolina to $16,693,257 in California.
California reported that this subcategory includes, “TANF program management and related expenditures including Fraud prevention; quality control, case management, other services and related overhead (operating costs).”
Additional Expenditures
For expenditures that did not fit any of the predetermined subcategories, the ACF-196(SUP) provided additional rows so that States were able to list these additional expenditures.
Twenty-four States reported expenditures for additional expenditures. This category totaled $40,570,215, representing 14.4 percent of “other” non-assistance for March 2011.
There were some subcategories of additional expenditures provided by States that accounted for relatively significant expenditures. The most prominent additional expenditure was State MOE funds provided to Tribes, which totaled $1,329,411, largely due to California allocation of over $1.2 million to its State’s Tribal TANF programs. The most frequently reported additional expenditure was Homeless/Housing Services. Three States (Illinois, New York, and Oregon) reported these services as additional expenditures, totaling $463,191. While the subcategories listed on the ACF-196(SUP) were admittedly non-exhaustive (since TANF and MOE funds may be expended on a large array of activities), this perhaps signifies the need for additional predetermined subcategories that were not considered.
At the same time, in many cases, States listed items that could have been included under other subcategories listed on the ACF-196(SUP) form. For example, both Michigan and Nebraska listed expenditures related to support and respite services for caregivers of children and adults with disabilities under Additional Expenditures, even though this was included as part of the description for Health/Disability Services (line 1.g.); Oklahoma included contracted domestic violence and sexual assault programs, despite the availability of the subcategory specifically for these services (line 1.d.); and Puerto Rico and Oregon listed expenditures related to programs that could have been included under Child Welfare Services (line 1.b.), i.e., child abuse and neglect prevention and child protective services, respectively.
Other States listed additional expenditures that also seem to fit in line items provided on the ACF-196 reporting form. For example, Louisiana included its State’s Earned Income Credit and the refundable portion of the Child Care Credit under additional expenditures on the ACF-196(SUP), while it could include the related expenditures under the subcategories, Refundable Earned Income Tax Credits (line 6.e.) and Other Refundable Tax Credits (line 6.f.), on the ACF-196.
As noted above, the presence of an “other” or “additional expenditures” subcategory highlights the ambiguity associated with some predetermined subcategories, as well as the flexibility States have in listing one type of expenditure in more than one category, depending on how it views the activity or purpose of the expenditure. This results in an inability to accurately analyze aggregate data in any one subcategory, and compare expenditures between States and across years.
Assistance and Non-Assistance “Authorized Solely Under Prior Law”
Twenty-one States reported expenditures in assistance and non-assistance “authorized solely under prior law,” ranging from $75,405 in Maine to $30,556,152 in Texas. Chart 3 shows total expenditures by subcategory, while Chart 4 conveys the number of States that reported expenditures in each subcategory. Note that only Federal funding, which includes TANF block grant funds, contingency funds, and ARRA emergency contingency funds, may be expended on programs “authorized solely under prior law.” MOE funds cannot be spent in this category.

Link to MS Excel data file (cra_report-to-congress.xls)

Link to MS Excel data file (cra_report-to-congress.xls)
| STATE | Total Assistance and Non-Assistance "Authorized Solely Under Prior Law" |
Child Welfare | Juvenile Justice | Other Emergency Assistance |
Total Additional Expenditures: |
|---|---|---|---|---|---|
UNITED STATES |
$106,609,367 |
$97,420,734 |
$963,758 |
$8,224,875 |
$0 |
ALABAMA |
$0 |
$0 |
$0 |
$0 |
$0 |
ALASKA |
$0 |
$0 |
$0 |
$0 |
$0 |
ARIZONA |
$0 |
$0 |
$0 |
$0 |
$0 |
ARKANSAS |
$0 |
$0 |
$0 |
$0 |
$0 |
CALIFORNIA |
$23,177,652 |
$19,375,849 |
$0 |
$3,801,803 |
$0 |
COLORADO |
$0 |
$0 |
$0 |
$0 |
$0 |
CONNECTICUT |
$1,002,570 |
$0 |
$0 |
$1,002,570 |
$0 |
DELAWARE |
$0 |
$0 |
$0 |
$0 |
$0 |
DIST. OF COL. |
$0 |
$0 |
$0 |
$0 |
$0 |
FLORIDA |
$0 |
$0 |
$0 |
$0 |
$0 |
GEORGIA |
$2,609,670 |
$2,609,670 |
$0 |
$0 |
$0 |
GUAM |
$0 |
$0 |
$0 |
$0 |
$0 |
HAWAII |
$0 |
$0 |
$0 |
$0 |
$0 |
IDAHO |
$552,631 |
$552,631 |
$0 |
$0 |
$0 |
ILLINOIS |
$20,470,987 |
$20,470,987 |
$0 |
$0 |
$0 |
INDIANA |
$0 |
$0 |
$0 |
$0 |
$0 |
IOWA |
$0 |
$0 |
$0 |
$0 |
$0 |
KANSAS |
$476,695 |
$476,695 |
$0 |
$0 |
$0 |
KENTUCKY |
$0 |
$0 |
$0 |
$0 |
$0 |
LOUISIANA |
$0 |
$0 |
$0 |
$0 |
$0 |
MAINE |
$75,405 |
$0 |
$0 |
$75,405 |
$0 |
MARYLAND |
$0 |
$0 |
$0 |
$0 |
$0 |
MASSACHUSETTS |
$0 |
$0 |
$0 |
$0 |
$0 |
MICHIGAN |
$6,597,936 |
$6,567,325 |
$0 |
$30,611 |
$0 |
MINNESOTA |
$0 |
$0 |
$0 |
$0 |
$0 |
MISSISSIPPI |
$0 |
$0 |
$0 |
$0 |
$0 |
MISSOURI |
$4,333,298 |
$3,817,720 |
$515,578 |
$0 |
$0 |
MONTANA |
$398,558 |
$0 |
$0 |
$398,558 |
$0 |
NEBRASKA |
$0 |
$0 |
$0 |
$0 |
$0 |
NEVADA |
$0 |
$0 |
$0 |
$0 |
$0 |
NEW HAMPSHIRE |
$862,350 |
$414,170 |
$448,180 |
$0 |
$0 |
NEW JERSEY |
$0 |
$0 |
$0 |
$0 |
$0 |
NEW MEXICO |
$0 |
$0 |
$0 |
$0 |
$0 |
NEW YORK |
$0 |
$0 |
$0 |
$0 |
$0 |
NORTH CAROLINA |
$6,802,007 |
$6,802,007 |
$0 |
$0 |
$0 |
NORTH DAKOTA |
$262,383 |
$262,383 |
$0 |
$0 |
$0 |
OHIO |
$0 |
$0 |
$0 |
$0 |
$0 |
OKLAHOMA |
$710,036 |
$710,036 |
$0 |
$0 |
$0 |
OREGON |
$984,891 |
$984,891 |
$0 |
$0 |
$0 |
PENNSYLVANIA |
$1,671,725 |
$1,357,486 |
$0 |
$314,239 |
$0 |
PUERTO RICO |
$0 |
$0 |
$0 |
$0 |
$0 |
RHODE ISLAND |
$0 |
$0 |
$0 |
$0 |
$0 |
SOUTH CAROLINA |
$0 |
$0 |
$0 |
$0 |
$0 |
SOUTH DAKOTA |
$488,668 |
$280,643 |
$0 |
$208,025 |
$0 |
TENNESSEE |
$0 |
$0 |
$0 |
$0 |
$0 |
TEXAS |
$30,556,152 |
$30,556,152 |
$0 |
$0 |
$0 |
UTAH |
$0 |
$0 |
$0 |
$0 |
$0 |
VERMONT |
$633,108 |
$633,108 |
$0 |
$0 |
$0 |
VIRGIN ISLANDS |
$0 |
$0 |
$0 |
$0 |
$0 |
VIRGINIA |
$0 |
$0 |
$0 |
$0 |
$0 |
WASHINGTON |
$2,393,664 |
$0 |
$0 |
$2,393,664 |
$0 |
WEST VIRGINIA |
$1,548,981 |
$1,548,981 |
$0 |
$0 |
$0 |
WISCONSIN |
$0 |
$0 |
$0 |
$0 |
$0 |
WYOMING |
$0 |
$0 |
$0 |
$0 |
$0 |
| Link to MS Excel data file (cra_report-to-congress.xls) | |||||
All expenditures reported in any of the subcategories listed under assistance and non-assistance “authorized solely under prior law” are related to services as covered in the former AFDC or Emergency Assistance plans.
An analysis of the expenditures reported under the assistance and non-assistance “authorized solely under prior law” subcategories is provided below. As some of the descriptions quoted below highlight, activities “authorized solely under prior law” may overlap in more than one subcategory, and are not easily broken down and distinguishable (e.g., emergency assistance to children and families in emergency situations, such families in foster care, were classified as Child Welfare in one State and Emergency Assistance in another).
Child Welfare
Seventeen States reported expenditures for Child Welfare activities “authorized solely under prior law.” Total spending equaled $97,420,734, or 91.4 percent of assistance or non-assistance “authorized solely under prior law” for March 2011. Expenditures ranged from $262,383 in North Dakota to $30,556,152 in Texas.
Texas reported its expenditures were related to “Emergency Assistance to Needy Families with children (including foster care) and services provided to meet emergency situations.”
Juvenile Justice
Two States reported expenditures for Juvenile Justice activities “authorized solely under prior law.” Total spending equaled $963,758, or 0.9 percent of assistance or non-assistance “authorized solely under prior law” for March 2011. Expenditures ranged from $448,180 in New Hampshire to $515,578 in Missouri.
Missouri references its program that covers Juvenile Justice services previously provided under its AFDC plan as of September 30, 1995, but does not provide a detailed description of the actual activities. New Hampshire stated that these expenditures were associated with the “Cost of Juvenile Justice Out of Home Placements and Ancillary Services.”
Other Emergency Assistance
Eight States reported expenditures for Other Emergency Assistance “authorized solely under prior law.” Total spending equaled $8,224,875, or 7.7 percent of assistance or non-assistance “authorized solely under prior law” for March 2011. Expenditures ranged from $30,611 in Michigan to $3,801,803 in California.
California’s reported expenditures are “associated with Emergency Assistance (EA) Foster Care (FC) programs [that] provide benefits and services to children & families in emergency situations, with eligibility restricted to once in a 12-month period. Individuals may be provided services that were previously funded through IV-A on September 1995.”
Additional Expenditures
The ACF-196(SUP) provided additional rows so that States were able to list additional expenditures that did not fit any of the predetermined subcategories. However, no States reported expenditures in this subcategory.
Recommendations for Engagement and Financial Data Reporting
The Claims Resolution Act specified that this report to Congress should include a discussion of “recommendations for such administrative or legislative changes as the Secretary determines are necessary to require eligible States to report the information on a recurring basis.” The data collection requirements relating to work participation raise somewhat distinct issues from those relating to financial reporting. Both are discussed below.
With respect to work participation data collection, HHS lacks the administrative authority to require the Claims Resolution Act data on an ongoing basis without statutory change, in light of the restrictions posed by Section 417 of the Social Security Act. Accordingly, any change to require such data on a permanent basis would need to be authorized by Congress.
HHS looks forward to receiving the additional reporting that will become available when States submit their reporting for the April-June period, and will analyze that data to better determine the utility of the additional categories of reporting. When Congress considers legislation to reauthorize TANF, it may wish to consider issues related to engagement data reporting in conjunction with consideration of which activities should count toward the participation requirements and for what periods of time, whether individuals participating for some hours should partially count toward participation rates, and what information should be collected about individuals not counting toward participation rates and under what circumstances. Moreover, consideration should be given to a broader set of questions about which outcomes should be tracked for States and families, and the data collection needed to have a clearer picture of progress toward sustained employment and self-sufficiency, and of child and family well-being.
If Congress does determine to add additional engagement-related reporting, HHS recommends that that reporting be integrated with existing participation requirements so that States are reporting in a single system, with one set of time frames for data submission. For example, additional ongoing reporting should synchronize with the data reporting currently required of States (e.g., reporting on a quarterly basis), and States should be allowed to use the same sample as the one used for current work participation rate calculations, as the new reporting requirements would provide more detail about who is not in the numerator of the sample caseload.
Finally, any data reporting requirements should include a reasonable time period for States to collect and report data. In particular, State engagement reports often noted challenges involved in verifying hours of participation that resulted in delays and subsequent corrections to data reporting.
With respect to financial data, HHS originally established the current categories for financial reporting in FY 1999, and they have not been modified since that time. It would be possible to make some revisions to the categories through modification of existing reporting categories, either administratively or through legislative directive. HHS will further analyze the March reporting data, along with the April-June data, and consider whether it would be appropriate to either develop new reporting categories, require additional narratives from States in connection with reporting, or take other actions to improve the data reported by States in their usage of TANF funds. Additional discussion of these issues will be included in the April-June report.
[1] In addition, not more than 30 percent of those counting toward each participation rate for a month may do so because they are participating in vocational educational training or the teen parent educational activities (i.e., satisfactory secondary school attendance and at least 20 hours per week in education directly related to employment). This limitation is not reflected in this data collection, as that calculation is performed by ACF in the preparation of final work participation rate data and is based on families with a WEI, rather than individual WEIs.
[2] This figure is based on Table 3A, Status of TANF and SSP-MOE Families as Relates to All Families Work Participation Rates, (available at http://www.acf.hhs.gov/programs/ofa/particip/indexparticip.htm) which subtracts “number of families with no work-eligible individual” and “number of families listed in error” from the total number of TANF and SSP-MOE families.
[3] Some disregarded families may also be included within other categories of WEIs, e.g., those participating in non-countable activities and those whose hours of participation could not be verified.
[4] Prior to FY 2007, work participation rates were based on adults receiving assistance in the TANF program. The DRA extended participation requirements to certain non-recipient parents and included families receiving assistance in a separate State program funded with MOE dollars.
[5] Jacqueline Kauff, Michelle K. Derr, and LaDonna Pavetti, A Study of Work Participation and Full Engagement Strategies: Final Report (Washington, DC: Mathematica Policy Research, Inc., September 2004), available at http://aspe.hhs.gov/hsp/full-engagement04/report.pdf
[6] Total TANF caseload for March 2009 was 1,716,968 families.
[7] According to the Urban Institute’s “The Welfare Rules Databook: State Policies as of July 2009” (http://www.acf.hhs.gov/programs/opre/welfare_employ/state_tanf/databook09/databook09.pdf, some States impose several types of behavioral requirements on individuals in the assistance unit, and non-compliance may result in a “non-work” sanction. These requirements may affect adults and/or children in the unit and may include requiring adult recipients to submit to drug testing, requiring dependent children to maintain adequate attendance in school, and immunization requirements. Fulfilling behavioral requirements can be a condition of initial and/or continuing eligibility.
[8] As per 407(b)(1)(B)(ii)(II) of the Social Security Act, a State may disregard from the work participation rate families with a WEI that are subject to a penalty for refusing to work in that month, unless that family has been penalized for refusal to participate in work activities for more than three of the last 12 months. As per 407(b)(5) of the Act, a State may, at its option, not require an individual who is single custodial parent caring for a child who has not attained 12 months of age to engage in work, and may disregard such an individual in determining the participation rates for not more than 12 months over the WEI’s lifetime. As per 407(b)(4) of the Act, a State has the option to include individuals receiving assistance under a Tribal family assistance plan or Tribal work program
[9] Under section 402(a)(7) of the Social Security Act, under its TANF plan, a State may elect to implement a special program to serve victims of domestic violence and to waive program requirements for such individuals.
[10] It is possible these individuals continue be WEIs as non-recipient parents living with a child receiving assistance (i.e., a “child-only” cases), even though they have reached the time limit on assistance.
[11] For the two-parent work participation rate, the hours of both WEIs can be included in the numerator of the participation rate calculation.
[12] The final rule implementing the DRA defined one week equal to 20 hours for a WEI who is a single custodial parent with a child under six years of age and equal to 30 hours for all other WEIs. Thus, six weeks of job search/job readiness assistance equates to 120 hours for the first group and 180 hours for all others. For those months in which a State can count 12 weeks of this activity, these limits are 240 hours and 360 hours, respectively.
[13] For individuals age 20 and over, the principal way that postsecondary education can count as a “core” TANF activity is as vocational educational training, which is subject to a 12-month lifetime limit for the State to count as participation. In addition, for parents under 20, postsecondary education can count as a core activity as “education directly related to employment.”
[14] As noted above, the table does not capture the 30 percent limit that applies to vocational educational and teen education activities, but only the 12-month lifetime limit on vocational educational training.
[15] Basic education and English as a Second Language are not stand-alone core activities under the TANF statute, but they can count under vocational educational training, if they are a necessary and regular part of the work activity; they also can count under education directly related to employment (a non-core activity). Furthermore, a State may count up to one year of post-secondary education as vocational education training.
[16] These grants were extended through June 30, 2011, resulting in a total of $211 million being available for FY 2011.
[17] The Continuing Appropriations Act, 2011, appropriated to the fund $506 million in FY 2011 and $612 million in FY 2012. Subsequently, the FY 2011 appropriation was reduced to $334 million by the Claims Resolution Act of 2010.
[18] For example, if a State's approved AFDC plan as of September 30, 1995, allowed it to assist children in the juvenile justice system, then it may continue to use TANF funds for such activities even though the child is not living with a parent or other adult caretaker relative.
[19]"Understanding Two Categories of TANF Spending: 'Other' and 'Authorized Under Prior Law'." Washington, DC: Mathematica Policy Research, September 2009, Michelle K. Derr, Tara Anderson, LaDonna Pavetti, and Elizabeth Scott.
[20] The flexibility in categorization became particularly obvious with the advent of the Emergency Contingency Fund, where many States shifted expenditures into the non-recurrent, short-term benefits category to qualify for additional funds from the Emergency Contingency Fund. This shift was possible because the expenditure categories are not mutually exclusive.
[21]While our analysis combines these two subcategories, you may refer to Appendix V to analyze how each State reported the data and described its use of funds.