
Study design
Design:
Study group formation:
Time period of study:
Primary outcome domains examined:
Increase short-term earnings, Increase long-term earnings, Increase very long-term earnings, Increase short-term employment, Increase long-term employment, Increase very long-term employment, Decrease very long-term benefit receipt, Increase education and trainingOther outcome domains examined:
Psychosocial skills; family formation; health; health insurance; life challenges; stress; career progress; housing situation; financial healthStudy funded by:
Results
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Outcome domain | Measure | Timing | Study quality by finding | Comparison group mean | Intervention group mean | Impact | Units | Findings | Sample size |
---|---|---|---|---|---|---|---|---|---|
Increase short-term earnings | Annual earnings | Year 1 |
High ![]() |
9,742.00 | 3,964.00 | -5,778.00 | 2014 dollars |
![]() |
2,495 |
Increase long-term earnings | Annual earnings | Year 5 |
High ![]() |
23,243.00 | 31,032.00 | 7,789.00 | 2018 dollars |
![]() |
2,495 |
Increase very long-term earnings | Annual earnings | Year 7 |
High ![]() |
27,338.00 | 35,589.00 | 8,251.00 | 2020 dollars |
![]() |
2,495 |
Increase short-term employment | Ever employed, quarterly | Quarter 6 |
High ![]() |
80.10 | 83.50 | 3.40 | Percentage points |
![]() |
2,495 |
Increase long-term employment | Ever employed, quarterly | Quarter 20 |
High ![]() |
82.10 | 82.40 | 0.30 | Percentage points |
![]() |
2,495 |
Increase very long-term employment | Ever employed, quarterly | Quarter 26 |
High ![]() |
72.80 | 73.80 | 1.00 | Percentage points |
![]() |
2,495 |
Decrease very long-term benefit receipt | Average quarterly UI benefit | Quarter 24 |
High ![]() |
435.00 | 430.00 | -5.00 | 2019 dollars |
![]() |
2,495 |
Decrease very long-term benefit receipt | UI receipt, quarterly | Quarter 24 |
High ![]() |
10.50 | 10.40 | -0.10 | Percentage points |
![]() |
2,495 |
Increase education and training | Earned any college credential from a college | Quarter 24 |
High ![]() |
13.50 | 17.50 | 4.00 | Percentage points |
![]() |
2,539 |
High
Moderate
The findings quality describe our confidence that a given study’s finding is because of the intervention. We do not display findings that rate low.
A moderate-to-large favorable finding that is unlikely to be due to chance
A moderate-to-large favorable finding that might to be due to chance
A small favorable finding that is unlikely to be due to chance
A small favorable finding that might be due to chance
A favorable finding that is unlikely to be due to chance, but we cannot determine the standardized effect size
A favorable finding that might be due to chance, but we cannot determine the standardized effect size
A moderate-to-large unfavorable finding that is unlikely to be due to chance
A moderate-to-large unfavorable finding that might to be due to chance
A small unfavorable finding that is unlikely to be due to chance
A small unfavorable finding that might be due to chance
An unfavorable finding that is unlikely to be due to chance, but we cannot determine the standardized effect size
An unfavorable finding that might be due to chance, but we cannot determine the standardized effect size
A finding that is unlikely to be due to chance, but we cannot determine the standardized effect size or direction
A finding of no effect that might be due to chance
Sample characteristics
The study included youth with low incomes who lived in metropolitan areas. The majority were male (59 percent), Black (54 percent), and ages 20 to 24 (56 percent). About half only had a high school diploma or equivalent (52 percent), and the other half had some college experience (48 percent). Only 3 percent had an associate’s or more advanced degree. The average family income was $27,021. In the 12 months leading up to the study, one-third received benefits from the Special Supplemental Nutrition Program for Women, Infants, and Children or the Supplemental Nutrition Assistance Program. About half (48 percent) were not working at baseline, and most of the remainder (37 percent) worked fewer than 35 hours per week. Sixteen percent had experienced an arrest.
Age
Young adults | 100% |
Sex
Female | 41% |
Male | 59% |
Participant race and ethnicity
Black or African American | 54% |
White, not Hispanic | 6% |
Hispanic or Latino of any race | 31% |
The race and ethnicity categories may sum to more than 100 percent if the authors reported race and ethnicity separately; in these cases, we report the category White, rather than White, not Hispanic.
Participant employment and public benefit status
Were employed | 52% |
Participant education
Had some postsecondary education | 48% |
Had a high school diploma or GED | 99% |
Did not have a high school diploma or GED | 1% |
Specific employment barriers
Were involved with the justice system | 16% |
Intervention implementation
Implementing organization:
Program history:
Intervention services:
Mandatory services:
Comparison services:
Service receipt duration:
Intervention funding:
Cost information:
These figures are based on cost information reported by study authors. The Pathways Clearinghouse converted that information to a single amount expressed in 2018 dollars; for details, see the FAQ. This information is not an official price tag or guarantee.
Study publications
Fein, David, and Jill Hamadyk (2018). Bridging the opportunity divide for low-income youth: Implementation and early impacts of the Year Up program, OPRE Report #2018-65, Washington, DC: Office of Planning, Research, and Evaluation, Administration for Children and Families, U.S. Department of Health and Human Services. Available at https://www.acf.hhs.gov/opre/report/bridging-opportunity-divide-low-income-youth-implementation-and-early-impacts-year.
Fein, David, and Samuel Dastrup (2022).Benefits that last: Long-term impact and cost-benefit findings for Year Up, OPRE Report #2022-77, Washington, DC: Office of Planning, Research, and Evaluation, Administration for Children and Families, U.S. Department of Health and Human Services. Available at https://www.acf.hhs.gov/sites/default/files/documents/opre/year%20up%20long-term%20impact%20report_apr2022.pdf
Gardiner, Karen, and Randall Juras (2019). Pathways for Advancing Careers and Education (PACE): Cross-program implementation and impact study findings, OPRE Report #2019-32, Washington, DC: Office of Planning, Research, and Evaluation, Administration for Children and Families, U.S. Department of Health and Human Services. Available at https://www.acf.hhs.gov/opre/report/pathways-advancing-careers-and-education-pace-cross-program-implementation-and-impact.
Judkins, David, Douglas Walton, Gabriel Durham, Daniel Litwok, and Samuel Dastrup (2021). Still bridging the opportunity divide for low-income youth: Year Up’s longer-term impacts, technical appendices, OPRE Report #2021-56, Washington, DC: Office of Planning, Research, and Evaluation, Administration for Children and Families, U.S. Department of Health and Human Services. Available at https://www.acf.hhs.gov/sites/default/files/documents/opre/year-up-appendices-april-2021.pdf
Judkins, David, Emily Roessel, and Gabriel Durham (2022). Appendices for PACE six-year impact reports, OPRE Report #2022-69, Washington, DC: Office of Planning, Research, and Evaluation, Administration for Children and Families, U.S. Department of Health and Human Services. Available at https://www.acf.hhs.gov/sites/default/files/documents/opre/pace%20six-year%20impact%20report%20technical%20appendix%2003-2022.pdf
View the glossary for more information about these and other terms used on this page.
The Pathways Clearinghouse refers to interventions by the names used in study reports or manuscripts. Some intervention names may use language that is not consistent with our style guide, preferences, or the terminology we use to describe populations.
24989.07-Year Up