Workforce Services
Dashboards
Utah - Program Year 2022
Utah - Program Year 2022
Employment and Training Administration (ETA)
Office of Policy Development and Research (OPDR)
Division of Data Analytics and Strategic Planning (DASP)
Overview
About
These dashboards examine WIOA Titles I & III program data quality, system reach, and differences in access to services and outcomes between demographic groups in Utah.
These dashboards focus on program year (PY) 2022 data for the WIOA Adult, Youth, Dislocated Worker, and Wagner-Peyser programs in Utah. Comparisons to national-level data are included where appropriate. See the Employment and Training Administration website to learn more about WIOA and the programs in these dashboards.
The dashboards are organized to display the following data in the tabs above:
- Data Quality — This section shows the completeness of reported demographic and occupation data.
- System Reach — This section shows the makeup of program participants.
- Services — This section shows the differences in services received by demographic groups. It includes information on select services, model estimates that show differences in use rates when controlling for other demographic elements and barriers, and information on training occupations.
- Outcomes — This section shows the differences in outcomes obtained by demographic groups. It includes information on WIOA outcomes and model estimates that show differences when controlling for other demographic elements and barriers.
- Relationship: Services & Outcomes — This section shows the differences in outcomes obtained by demographic groups when accounting for the level of services received. It includes information on the relationship between services and outcomes and model estimates that show differences when controlling for other demographic elements and barriers.
- Methods — This section provides technical details about the data and the dashboards. It includes information on analysis decisions, data treatments, and modeling methods as well as data tables that give the counts of participants per demographic group.
Click on the tabs at the top to navigate to these different topics.
When reviewing the dashboards, there are several important factors to keep in mind:
- The dashboards are not a scorecard. The dashboards do not grade states’ performances or assign subjective values to the trends shown in the dashboards.
- The dashboards are not prescriptive. Individuals using the dashboards will need to provide independent thought and follow-up consideration for anything seen in the dashboards.
- The dashboards cannot be used to compare states. To accurately compare states, more information (including external factors beyond states’ control) would be required for a fair comparison.
- Data in the dashboards may not exactly match records elsewhere. Further details on the data used in these dashboards are available in the Methods section.
- Some states have small counts of demographic groups. If a group has a very low count, less confidence should be placed in findings for that group. Counts can be found in data tables near each chart within the dashboards.
- The dashboards’ scope is not definitive. Not all underserved communities are currently represented in these dashboards. When possible, future editions will broaden their scope to be more informative and inclusive.
For more information on how to use and interpret the Workforce Services Dashboards, please refer to the Supplemental Guide.
Contact and Feedback
We welcome any feedback you may have on these dashboards. Our goal is to provide comprehensive and actionable information about underserved communities in collected WIOA Titles I & III program data. Please contact us if you have any feedback about how we can make this product better (e.g., things you liked, features you would like to be added, potential errors you discover, etc.) by filling out this feedback form.
Data Quality
Data Quality
This section examines the completeness of a select number of
demographic and occupation code PIRL data elements (click to see more
information on the WIOA
Participant Individual Record Layout) from the data reported by Utah
and how it compares to the National level data. The completeness of this
type of data is important for any analysis of programmatic equity.
Missing data can bias the measurement of differences in outcomes or
access to services between demographic groups.
The completeness
of the sex, race, and ethnicity PIRL data elements are shown by program
below. In addition, the completeness of select PIRL data elements that
collect occupation code information are also shown.
Adult
The following charts show the completeness of data for the Adult program. Please note that values may not sum to 100% due to rounding.
Completeness of Demographic Data
The following charts show the completeness of sex, race, and ethnicity PIRL data elements.
Completeness of Occupation Data
This set of charts shows the completeness of training occupation code (for participants that received training) and employment after exit occupation code (for participants that were employed after exit) PIRL data elements. The completeness of these elements can contribute to analyses of program effectiveness by providing context about the types of training received and outcomes obtained. While Standard Occupational Classification (SOC) codes for training is generally well-reported, for most states, the majority of SOC codes for occupation employed after exit are not reported (however, there are exceptions).
Data Table
This data table contains data displayed in the charts above. The table is available to copy or download as a CSV by clicking the buttons below.
Youth
The following charts show the completeness of data for the Youth program. Please note that values may not sum to 100% due to rounding.
Completeness of Demographic Data
The following charts show the completeness of sex, race, and ethnicity PIRL data elements.
Completeness of Occupation Data
This set of charts shows the completeness of training occupation code (for participants that received training) and employment after exit occupation code (for participants that were employed after exit) PIRL data elements. The completeness of these elements can contribute to analyses of program effectiveness by providing context about the types of training received and outcomes obtained. While Standard Occupational Classification (SOC) codes for training is generally well-reported, for most states, the majority of SOC codes for occupation employed after exit are not reported (however, there are exceptions).
Data Table
This data table contains data displayed in the charts above. The table is available to copy or download as a CSV by clicking the buttons below.
Dislocated Worker
The following charts show the completeness of data for the Dislocated Worker program. Please note that values may not sum to 100% due to rounding.
Completeness of Demographic Data
The following charts show the completeness of sex, race, and ethnicity PIRL data elements.
Completeness of Occupation Data
This set of charts shows the completeness of training occupation code (for participants that received training) and employment after exit occupation code (for participants that were employed after exit) PIRL data elements. The completeness of these elements can contribute to analyses of program effectiveness by providing context about the types of training received and outcomes obtained. While Standard Occupational Classification (SOC) codes for training is generally well-reported, for most states, the majority of SOC codes for occupation employed after exit are not reported (however, there are exceptions).
Data Table
This data table contains data displayed in the charts above. The table is available to copy or download as a CSV by clicking the buttons below.
Wagner-Peyser
The following charts show the completeness of data for the Wagner-Peyser program. Please note that values may not sum to 100% due to rounding.
Completeness of Demographic Data
The following charts show the completeness of sex, race, and ethnicity PIRL data elements.
Completeness of Occupation Data
This set of charts shows the completeness of the employment after exit occupation code PIRL data element. The completeness of this element can contribute to analyses of program effectiveness by providing context about the types of outcomes obtained. For most states, the majority of participants that were employed after exit do not have the related SOC codes reported (however, there are exceptions).
Data Table
This data table contains data displayed in the charts above. The table is available to copy or download as a CSV by clicking the buttons below.
System Reach
Participants Served by WIOA Programs
This section highlights the degree to which Utah’s WIOA Titles I & III programs reach target populations of the state. National data are shown alongside for comparison.
The plots and data below show the demographic makeup of participants by program and compare that to the demographic makeup of the estimated eligible population of Utah and the nation. For further help interpreting these charts and others, please refer to the Supplemental Guide.
Adult
Summary
These charts show the percentage of participants in Adult programs by race, ethnicity, and sex.
Data Table
This data table contains data displayed in the charts above. The table is available to copy or download as a CSV by clicking the buttons below.
Enrollment by County
The map below displays the program participation rate by county adjusting for an estimate of the county eligible population (see more on the ‘eligible population’ in Methods). Select ‘Job Centers’ or ‘Metros’ below to overlay American Job Center locations or Metropolitan Statistical Areas (MSAs) on the map. Hover over county, metro, and job center features to see location names.
If interactive map does not initially load, please refresh the page and navigate back to this tab.
Data Table
This data table contains data displayed in the map above. The table is available to copy or download as a CSV by clicking the buttons below.
Youth
Summary
These charts show the percentage of participants in Youth programs by race, ethnicity, and sex.
Data Table
This data table contains data displayed in the charts above. The table is available to copy or download as a CSV by clicking the buttons below.
Enrollment by County
The map below displays the program participation rate by county adjusting for an estimate of the county eligible population (see more on the ‘eligible population’ in Methods). Select ‘Job Centers’ or ‘Metros’ below to overlay American Job Center locations or Metropolitan Statistical Areas (MSAs) on the map. Hover over county, metro, and job center features to see location names.
If interactive map does not initially load, please refresh the page and navigate back to this tab.
Data Table
This data table contains data displayed in the map above. The table is available to copy or download as a CSV by clicking the buttons below.
Dislocated Worker
Summary
These charts show the percentage of participants in Dislocated Worker programs by race, ethnicity, and sex.
Data Table
This data table contains data displayed in the charts above. The table is available to copy or download as a CSV by clicking the buttons below.
Enrollment by County
The map below displays the program participation rate by county adjusting for an estimate of the county eligible population (see more on the ‘eligible population’ in Methods). Select ‘Job Centers’ or ‘Metros’ below to overlay American Job Center locations or Metropolitan Statistical Areas (MSAs) on the map. Hover over county, metro, and job center features to see location names.
If interactive map does not initially load, please refresh the page and navigate back to this tab.
Data Table
This data table contains data displayed in the map above. The table is available to copy or download as a CSV by clicking the buttons below.
Wagner-Peyser
Summary
These charts show the percentage of participants in Wagner-Peyser programs by race, ethnicity, and sex.
Data Table
This data table contains data displayed in the charts above. The table is available to copy or download as a CSV by clicking the buttons below.
Enrollment by County
The map below displays the program participation rate by county adjusting for an estimate of the county eligible population (see more on the ‘eligible population’ in Methods). Select ‘Job Centers’ or ‘Metros’ below to overlay American Job Center locations or Metropolitan Statistical Areas (MSAs) on the map. Hover over county, metro, and job center features to see location names.
If interactive map does not initially load, please refresh the page and navigate back to this tab.
Data Table
This data table contains data displayed in the map above. The table is available to copy or download as a CSV by clicking the buttons below.
Services
Services Received by Participants
This section explores the differences in the services provided to WIOA program participants of different demographic groups in Utah. National level data is also displayed for comparison. The section starts with a high-level summary chart showing the demographic differences in service enrollment, then looks at each type of service in greater detail. Basic Career Services are omitted from figures because every participant in the program received Basic Career Services. Next, we explore differences when controlling for other demographic characteristics and participant barriers to employment. Finally, we look into training occupation in more detail (this section is not included for Wagner-Peyser because that program does not offer training services).
The differences in services information is provided by WIOA program. For further help interpreting these charts and others, please refer to the Supplemental Guide.
Adult
Click on the tabs below to navigate through the various service analysis topics for the Adult program.
Summary
The chart below serves as a high-level summary of differences in service enrollment. The points on the chart represent different demographic groups. The vertical line in the center represents the baseline group rate, and the position of the points indicates where each demographic group falls compared to the baseline. A more detailed breakdown of each service type can be found in the subsequent charts in this section.
Data Table
This data table contains data displayed in the charts above. The table is available to copy or download as a CSV by clicking the buttons below.
Details by Type of Service
Below are detailed plots and tables showing the differences in participants receiving select services by demographic group. Select the service type of interest.
Individualized Career Services
The plots below show the individualized career services enrollment rates and differences in enrollment rates of participants in the Adult program by demographic group. Both Utah data and national data are shown.
The first set of charts shows that the individualized career services enrollment rate for Hispanic/Latino female participants in Utah is 100% and at the national level the rate is 74%.
In the charts below showing differences between demographic groups, the difference in individualized career services enrollment between Hispanic/Latino female participants and White male participants in Utah is 0% and at the national level the difference is 5%.
Data Tables
These data tables contain data displayed in the charts above. The tables are available to copy or download as a CSV by clicking the buttons below.
Training Services
The plots below show the training services enrollment rates and differences in enrollment rates of participants in the Adult program by demographic group. Both Utah data and national data are shown.
The first set of charts shows that the training services enrollment rate for Hispanic/Latino female participants in Utah is 65% and at the national level the rate is 33%.
In the charts below showing differences between demographic groups, the difference in training services enrollment between Hispanic/Latino female participants and White male participants in Utah is -5% and at the national level the difference is -12%.
Data Tables
These data tables contain data displayed in the charts above. The tables are available to copy or download as a CSV by clicking the buttons below.
Model Estimates (Controlling for Participant Barriers)
This section shows the differences in services provided by demographic group when controlling for the reported data on other demographic elements (e.g., age, education level, etc.) and employment barriers (e.g., disability status, low income, etc.). For more information on how these estimates were derived see Demographic and Barrier Models in the Methods tab.
Individualized Career Services
The plot below shows the average difference of demographic groups compared to White male participants after controlling for other demographic elements and employment barriers. For example: on average, Hispanic/Latino female participants received this service 0% more than White male participants in Utah whereas nationally Hispanic/Latino female participants received this service 1% less than White male participants.
The tables below show the number of participants that would receive this service per 1,000 participants of that demographic group. It is an estimate of the count if all the participants in each demographic group had the same other demographic characteristics and barriers. In other words, the tables are showing the count if everyone was aged 22 to 44, was a high school graduate, and had no employment barriers. For example, in Utah 999 Hispanic/Latino female participants of every 1,000 Hispanic/Latino female participants would receive this service on average whereas nationally 910 would receive this service on average.
The colored bar plots in the tables show how different demographic groups compare to each other. The amount of the bar filled-in is relative to the demographic group with the highest count (i.e., the demographic group with the highest count is 100% filled).
Training Services
The plot below shows the average difference of demographic groups compared to White male participants after controlling for other demographic elements and employment barriers. For example, on average Hispanic/Latino male participants received this service 15% more than White male participants in Utah whereas nationally Hispanic/Latino male participants received this service 1% less than White male participants.
The tables below show the number of participants that would receive this service per 1,000 participants of that demographic group. It is an estimate of the count if all the participants in each demographic group had the same other demographic characteristics and barriers. In other words, the tables are showing the count if everyone was aged 22 to 44, was a high school graduate, and had no employment barriers. For example, in Utah 816 Hispanic/Latino male participants of every 1,000 Hispanic/Latino male participants would receive this service on average whereas nationally 728 would receive this service on average.
The colored bar plots in the tables show how different demographic groups compare to each other. The amount of the bar filled-in is relative to the demographic group with the highest count (i.e., the demographic group with the highest count is 100% filled).
Training Occupation
The following charts explore the occupations participants are trained in through the Adult program.
Top Occupations - Participants Trained
The charts below show the occupations in which the highest number of participants are trained. Both Utah data and national data are shown.
Data Tables
This data table contains data displayed in the charts above. The table is available to copy or download as a CSV by clicking the buttons below.
Occupations Above Median Earnings
The charts below show the rate at which Adult participants are trained in occupations with median earnings above national median earnings and differences in those rates by demographic groups. Both Utah data and national data are shown.
The chart shows that 51% of White Females in Utah trained in occupations that tend to earn above median earnings. The remaining 49% in Utah either trained in lower-earning occupations or the occupation they received training for is unknown.
Data Tables
This data table contains data displayed in the charts above. The table is available to copy or download as a CSV by clicking the buttons below.
Youth
Click on the tabs below to navigate through the various service analysis topics for the Youth program.
Summary
The chart below serves as a high-level summary of differences in service enrollment. The points on the chart represent different demographic groups. The vertical line in the center represents the baseline group rate, and the position of the points indicates where each demographic group falls compared to the baseline. A more detailed breakdown of each service type can be found in the subsequent charts in this section.
Data Table
This data table contains data displayed in the charts above. The table is available to copy or download as a CSV by clicking the buttons below.
Details by Type of Service
Below are detailed plots and tables showing the differences in participants receiving select services by demographic group. Select the service type of interest.
Follow-up Services
The charts below show the follow-up services enrollment rates and differences in enrollment rates of participants in the Youth program by demographic group. Both Utah data and national data are shown.
The first set of charts shows that the follow-up services enrollment rate for Black female participants in Utah is 0% and at the national level the rate is 33%.
In the charts below showing differences between demographic groups, the difference in follow-up services enrollment between Black female participants and White male participants in Utah is -100% and at the national level the difference is 4%.
Data Tables
These data tables contain data displayed in the charts above. The tables are available to copy or download as a CSV by clicking the buttons below.
Financial Literacy
The charts below show the financial literacy services enrollment rates and differences in enrollment rates of participants in the Youth program by demographic group. Both Utah data and national data are shown.
The first set of charts shows that the financial literacy services enrollment rate for Black female participants in Utah is 0% and at the national level the rate is 23%.
In the charts below showing differences between demographic groups, the difference in financial literacy services enrollment between Black female participants and White male participants in Utah is 0% and at the national level the difference is 34%.
Data Tables
These data tables contain data displayed in the charts above. The tables are available to copy or download as a CSV by clicking the buttons below.
Supportive Services
The charts below show the supportive services enrollment rates and differences in enrollment rates of participants in the Youth program by demographic group. Both Utah data and national data are shown.
The first set of charts shows that the supportive services enrollment rate for Black female participants in Utah is 100% and at the national level the rate is 51%.
In the charts below showing differences between demographic groups, the difference in supportive services enrollment between Black female participants and White male participants in Utah is 4% and at the national level the difference is 4%.
Data Tables
These data tables contain data displayed in the charts above. The tables are available to copy or download as a CSV by clicking the buttons below.
Work Experience
The charts below show the work experience enrollment rates and differences in enrollment rates of participants in the Youth program by demographic group. Both Utah data and national data are shown.
The first set of charts shows that the work experience services enrollment rate for Black female participants in Utah is 14% and at the national level the rate is 44%.
In the charts below showing differences between demographic groups, the difference in work experience services enrollment between Black female participants and White male participants in Utah is -30% and at the national level the difference is 1%.
Data Tables
These data tables contain data displayed in the charts above. The tables are available to copy or download as a CSV by clicking the buttons below.
Model Estimates (Controlling for Participant Barriers)
This section shows the differences in services provided by demographic group when controlling for the reported data on other demographic elements (e.g., age, education level, etc.) and employment barriers (e.g., disability status, low income, etc.). For more information on how these estimates were derived see Demographic and Barrier Models in the Methods tab.
Follow-up Services
The plot below shows the average difference of demographic groups compared to White male participants after controlling for other demographic elements and employment barriers. For example, on average Black male participants received this service 3% more than White male participants in Utah whereas nationally Black male participants received this service 2% less than White male participants.
The tables below show the number of participants that would receive this service per 1,000 participants of that demographic group. It is an estimate of the count if all the participants in each demographic group had the same other demographic characteristics and barriers. In other words, the tables are showing the count if everyone was aged 22 to 44, was a high school graduate, and had no employment barriers. For example, in Utah 51 Black male participants of every 1,000 Black male participants would receive this service on average whereas nationally 76 would receive this service on average.
The colored bar plots in the tables show how different demographic groups compare to each other. The amount of the bar filled-in is relative to the demographic group with the highest count (i.e., the demographic group with the highest count is 100% filled).
Financial Literacy
The plot below shows the average difference of demographic groups compared to White male participants after controlling for other demographic elements and employment barriers. For example, on average Black male participants received this service 1% less than White male participants in Utah whereas nationally Black male participants received this service 2% more than White male participants.
The tables below show the number of participants that would receive this service per 1,000 participants of that demographic group. It is an estimate of the count if all the participants in each demographic group had the same other demographic characteristics and barriers. In other words, the tables are showing the count if everyone was aged 22 to 44, was a high school graduate, and had no employment barriers. For example, in Utah 1 Black male participants of every 1,000 Black male participants would receive this service on average whereas nationally 78 would receive this service on average.
The colored bar plots in the tables show how different demographic groups compare to each other. The amount of the bar filled-in is relative to the demographic group with the highest count (i.e., the demographic group with the highest count is 100% filled).
Supportive Services
The plot below shows the average difference of demographic groups compared to White male participants after controlling for other demographic elements and employment barriers. For example, on average Black male participants received this service 1% less than White male participants in Utah whereas nationally Black male participants received this service 2% less than White male participants.
The tables below show the number of participants that would receive this service per 1,000 participants of that demographic group. It is an estimate of the count if all the participants in each demographic group had the same other demographic characteristics and barriers. In other words, the tables are showing the count if everyone was aged 22 to 44, was a high school graduate, and had no employment barriers. For example, in Utah 949 Black male participants of every 1,000 Black male participants would receive this service on average whereas nationally 430 would receive this service on average.
The colored bar plots in the tables show how different demographic groups compare to each other. The amount of the bar filled-in is relative to the demographic group with the highest count (i.e., the demographic group with the highest count is 100% filled).
Work Experience
The plot below shows the average difference of demographic groups compared to White male participants after controlling for other demographic elements and employment barriers. For example, on average Black female participants received this service 5% less than White male participants in Utah whereas nationally Black female participants received this service 3% more than White male participants.
The tables below show the number of participants that would receive this service per 1,000 participants of that demographic group. It is an estimate of the count if all the participants in each demographic group had the same other demographic characteristics and barriers. In other words, the tables are showing the count if everyone was aged 22 to 44, was a high school graduate, and had no employment barriers. For example, in Utah 102 Black female participants of every 1,000 Black female participants would receive this service on average whereas nationally 517 would receive this service on average.
The colored bar plots in the tables show how different demographic groups compare to each other. The amount of the bar filled-in is relative to the demographic group with the highest count (i.e., the demographic group with the highest count is 100% filled).
Training Occupation
The following charts explore aspects of the occupations participants are trained in through the Youth program.
Top Occupations - Participants Trained
The charts below show the occupations in which the highest number of participants are trained. Both Utah data and national data are shown.
Data Tables
This data table contains data displayed in the charts above. The table is available to copy or download as a CSV by clicking the buttons below.
Occupations Above Median Earnings
The charts below show the rate at which Youth participants are trained in occupations with median earnings above national median earnings and differences in those rates by demographic groups. Both Utah data and national data are shown.
The chart shows that 50% of Other Females in Utah trained in occupations that tend to earn above median earnings. The remaining 50% in Utah either trained in lower-earning occupations or the occupation they received training for is unknown.
Data Tables
This data table contains data displayed in the charts above. The table is available to copy or download as a CSV by clicking the buttons below.
Dislocated Worker
Click on the tabs below to navigate through the various service analysis topics for the Dislocated Worker program.
Summary
The chart below serves as a high-level summary of differences in service enrollment. The points on the chart represent different demographic groups. The vertical line in the center represents the baseline group rate, and the position of the points indicates where each demographic group falls compared to the baseline. A more detailed breakdown of each service type can be found in the subsequent charts in this section.
Data Table
This data table contains data displayed in the charts above. The table is available to copy or download as a CSV by clicking the buttons below.
Details by Type of Service
Below are detailed plots and tables showing the differences in participants receiving select services by demographic group. Select the service type of interest.
Individualized Career Services
The plots below show the individualized career services enrollment rates and differences in enrollment rates of participants in the Dislocated Working program by demographic group. Both Utah data and national data are shown.
The first set of charts shows that the individualized career services enrollment rate for Black female participants in Utah is 100% and at the national level the rate is 88%.
In the charts below showing differences between demographic groups, the difference in individualized career services enrollment between Black female participants and White male participants in Utah is 0% and at the national level the difference is 3%.
Data Tables
These data tables contain data displayed in the charts above. The tables are available to copy or download as a CSV by clicking the buttons below.
Training Services
The plots below show the training services enrollment rates and differences in enrollment rates of participants in the Dislocated Worker program by demographic group. Both Utah data and national data are shown.
The first set of charts shows that the training services enrollment rate for Black female participants in Utah is 50% and at the national level the rate is 18%.
In the charts below showing differences between demographic groups, the difference in training services enrollment between Black female participants and White male participants in Utah is -36% and at the national level the difference is -40%.
Data Tables
These data tables contain data displayed in the charts above. The tables are available to copy or download as a CSV by clicking the buttons below.
Model Estimates (Controlling for Participant Barriers)
This section shows the differences in services provided by demographic group when controlling for the reported data on other demographic elements (e.g., age, education level, etc.) and employment barriers (e.g., disability status, low income, etc.). For more information on how these estimates were derived see Demographic and Barrier Models in the Methods tab.
Individualized Career Services
The plot below shows the average difference of demographic groups compared to White male participants after controlling for other demographic elements and employment barriers. For example, on average Hispanic/Latino female participants received this service 2% less than White male participants in Utah whereas nationally Hispanic/Latino female participants received this service 1% more than White male participants.
The tables below show the number of participants that would receive this service per 1,000 participants of that demographic group. It is an estimate of the count if all the participants in each demographic group had the same other demographic characteristics and barriers. In other words, the tables are showing the count if everyone was aged 22 to 44, was a high school graduate, and had no employment barriers. For example, in Utah 978 Hispanic/Latino female participants of every 1,000 Hispanic/Latino female participants would receive this service on average whereas nationally 1,000 would receive this service on average.
The colored bar plots in the tables show how different demographic groups compare to each other. The amount of the bar filled-in is relative to the demographic group with the highest count (i.e., the demographic group with the highest count is 100% filled).
Training Services
The plot below shows the average difference of demographic groups compared to White male participants after controlling for other demographic elements and employment barriers. For example, on average Hispanic/Latino male participants received this service 0% more than White male participants in Utah whereas nationally Hispanic/Latino male participants received this service 0% less than White male participants.
The tables below show the number of participants that would receive this service per 1,000 participants of that demographic group. It is an estimate of the count if all the participants in each demographic group had the same other demographic characteristics and barriers. In other words, the tables are showing the count if everyone was aged 22 to 44, was a high school graduate, and had no employment barriers. For example, in Utah 741 Hispanic/Latino male participants of every 1,000 Hispanic/Latino male participants would receive this service on average whereas nationally 671 would receive this service on average.
The colored bar plots in the tables show how different demographic groups compare to each other. The amount of the bar filled-in is relative to the demographic group with the highest count (i.e., the demographic group with the highest count is 100% filled).
Training Occupation
The following charts explore the occupations participants are trained in through the Dislocated Worker program.
Top Occupations - Participants Trained
The charts below show the occupations in which the highest number of participants are trained. Both Utah data and national data are shown.
Data Tables
This data table contains data displayed in the charts above. The table is available to copy or download as a CSV by clicking the buttons below.
Occupations Above Median Earnings
The charts below show the rate at which Dislocated Worker participants are trained in occupations with median earnings above national median earnings and differences in those rates by demographic groups. Both Utah data and national data are shown.
The chart shows that 45% of Hispanic Females in Utah trained in occupations that tend to earn above median earnings. The remaining 55% in Utah either trained in lower-earning occupations or the occupation they received training for is unknown.
Data Tables
This data table contains data displayed in the charts above. The table is available to copy or download as a CSV by clicking the buttons below.
Wagner-Peyser
Click on the tabs below to navigate through the various service analysis topics for the Wagner-Peyser program.
Summary
The chart below serves as a high-level summary of differences in service enrollment. The points on the chart represent different demographic groups. The vertical line in the center represents the baseline group rate, and the position of the points indicates where each demographic group falls compared to the baseline. A more detailed breakdown of each service type can be found in the subsequent charts in this section.
Data Table
This data table contains data displayed in the charts above. The table is available to copy or download as a CSV by clicking the buttons below.
Details by Type of Service
Below are detailed plots and tables showing the differences in participants receiving individualized career services by demographic group.
Individualized Career Services
The plots below show the individualized career services enrollment rates and differences in enrollment rates of participants in the Wagner-Peyser program by demographic group. Both Utah data and national data are shown.
The first set of charts shows that the individualized career services enrollment rate for Black female participants in Utah is 33% and at the national level the rate is 46%.
In the charts below showing differences between demographic groups, the difference in individualized career services enrollment between Black female participants and White male participants in Utah is 52% and at the national level the difference is 2%.
Data Tables
These data tables contain data displayed in the charts above. The tables are available to copy or download as a CSV by clicking the buttons below.
Model Estimates (Controlling for Participant Barriers)
This section shows the differences in services provided by demographic group when controlling for the reported data on other demographic elements (e.g., age, education level, etc.) and employment barriers (e.g., disability status, low income, etc.). For more information on how these estimates were derived see Demographic and Barrier Models in the Methods tab.
Individualized Career Services
The plot below shows the average difference of demographic groups compared to White male participants after controlling for other demographic elements and employment barriers. For example, on average Hispanic/Latino female participants received this service 0% more than White male participants in Utah whereas nationally Hispanic/Latino female participants received this service 1% more than White male participants.
The tables below show the number of participants that would receive this service per 1,000 participants of that demographic group. It is an estimate of the count if all the participants in each demographic group had the same other demographic characteristics and barriers. In other words, the tables are showing the count if everyone was aged 22 to 44, was a high school graduate, and had no employment barriers. For example, in Utah 135 Hispanic/Latino female participants of every 1,000 Hispanic/Latino female participants would receive this service on average whereas nationally 690 would receive this service on average.
The colored bar plots in the tables show how different demographic groups compare to each other. The amount of the bar filled-in is relative to the demographic group with the highest count (i.e., the demographic group with the highest count is 100% filled).
Outcomes
Participant Outcomes
This section explores the differences in the outcomes of WIOA program participants from different demographic groups. The section starts with a high-level summary chart showing the demographic differences in outcomes, then looks at each outcome in greater detail. Lastly, there is a section that explores differences in outcomes when controlling for participant barriers to employment.
For further help interpreting these charts and others, please refer to the Supplemental Guide.
Adult
Click on the tabs below to navigate through the various outcome analysis topics for the Adult program.
Summary
The chart below serves as a high-level summary of differences in outcomes. The points on the chart represent different demographic groups. The vertical line in the center represents the baseline group rate, and the position of the points indicates where each demographic group falls compared to the baseline. A more detailed breakdown of each outcome can be found in the subsequent charts in this section.
Data Table
This data table contains data displayed in the charts above. The table is available to copy or download as a CSV by clicking the buttons below.
Details by Outcome
Below are detailed plots and tables showing the differences in participant outcomes by demographic group. Select the outcome of interest.
Median Earnings 2nd Quarter after Exit
The plots below shown the results and differences of the Median Earnings 2nd Quarter after Exit outcome by demographic group in the Adult program. Both Utah data and national data are shown.
The first set of charts shows that the Median Earnings 2nd Quarter after Exit for Hispanic/Latino female participants in Utah is $7,678 and at the national level the earnings is $7,069.
In the charts below showing differences between demographic groups, the difference in Median Earnings 2nd Quarter after Exit between Hispanic/Latino female participants and White male participants in Utah is -19% and at the national level the difference is -24%.
Data Tables
These data tables contain data displayed in the charts above. The tables are available to copy or download as a CSV by clicking the buttons below.
Employment Rate 2nd Quarter after Exit
The plots below shown the results and differences of the Employment Rate 2nd Quarter after Exit outcome by demographic group for the Adult program. Both Utah data and national data are shown.
The first set of charts shows the Employment Rate 2nd Quarter after Exit for Hispanic/Latino female participants in Utah is 75% and at the national level the employment rate is 70%.
In the charts below showing differences between demographic groups, the difference in Employment Rate 2nd Quarter after Exit between Hispanic/Latino female participants and White male participants in Utah is 8% and at the national level the difference is -3%.
Data Tables
These data tables contain data displayed in the charts above. The tables are available to copy or download as a CSV by clicking the buttons below.
Employment Rate 4th Quarter after Exit
The plots below shown the results and differences of the Employment Rate 4th Quarter after Exit outcome by demographic group for the Adult program. Both Utah data and national data are shown.
The first set of charts shows the Employment Rate 4th Quarter after Exit for Hispanic/Latino female participants in Utah is 78% and at the national level the employment rate is 69%.
In the charts below showing differences between demographic groups, the difference in Employment Rate 4th Quarter after Exit between Hispanic/Latino female participants and White male participants in Utah is 9% and at the national level the difference is -3%.
Data Tables
These data tables contain data displayed in the charts above. The tables are available to copy or download as a CSV by clicking the buttons below.
Credential Attainment
The plots below shown the results and differences of the Credential Attainment outcome by demographic group for the Adult program. Both Utah data and national data are shown.
The first set of charts shows the Credential Attainment rate for Hispanic/Latino female participants in Utah is 58% and at the national level the rate is 70%.
In the charts below showing differences between demographic groups, the difference in Credential Attainment Rate between Hispanic/Latino female participants and White male participants in Utah is -8% and at the national level the difference is -6%
Data Tables
These data tables contain data displayed in the charts above. The tables are available to copy or download as a CSV by clicking the buttons below.
Measurable Skill Gains
The plots below shown the results and differences of the Measurable Skill Gains outcome by demographic group for the Adult program. Both Utah data and national data are shown.
The first set of charts shows the Measurable Skill Gains rate for Hispanic/Latino female participants in Utah is 64% and at the national level the rate is 78%.
In the charts below showing differences between demographic groups, the difference in Measurable Skill Gains Rate between Hispanic/Latino female participants and White male participants in Utah is -8% and at the national level the difference is -1%
Data Tables
These data tables contain data displayed in the charts above. The tables are available to copy or download as a CSV by clicking the buttons below.
Employment in Training Occupation, 2nd Quarter after Exit
The plots below shown the results and differences of the Employment in Training Occupation, 2nd Quarter after Exit outcome by demographic group for the Adult program. Both Utah data and national data are shown.
The first set of charts shows the employment rate in training occupation 2nd quarter after exit for White female participants in Utah is 65% and at the national level the rate is 56%.
Data Tables
These data tables contain data displayed in the charts above. The tables are available to copy or download as a CSV by clicking the buttons below.
Model Estimates (Controlling for Participant Barriers)
This section shows the differences in outcomes by demographic group when controlling for the reported data on other demographic elements (e.g., age, education level, etc.) and employment barriers (e.g., disability status, low income, etc.). For more information on how these estimates were derived see Demographic and Barrier Models in the Methods tab.
Median Earnings 2nd Quarter after Exit
The plot below shows the average difference of demographic groups compared to White male participants after controlling for other demographic elements and employment barriers. For example, on average White female participants earned $1,357 less than White male participants in Utah whereas nationally White female participants earned $2,291 less than White male participants.
The tables below show the estimated 2nd quarter after exit earnings a participant of each demographic group would receive. It is an estimate of the amount if all the participants in each demographic group had the same other demographic characteristics and barriers. In other words, the tables are showing the earnings if everyone was aged 22 to 44, was a high school graduate, and had no employment barriers. For example, in Utah, White female participants had 2nd quarter after exit earnings of $7,650 whereas nationally these participants earned $7,970 on average.
The colored bar plots in the tables show how different demographic groups compare to each other. The amount of the bar filled-in is relative to the demographic group with the highest amount (i.e., the demographic group with the highest amount is 100% filled).
Employment Rate 2nd Quarter after Exit
The plot below shows the average difference of demographic groups compared to White male participants after controlling for other demographic elements and employment barriers. For example, on average Hispanic/Latino female participants were employed 3% more than White male participants in Utah whereas nationally Hispanic/Latino female participants were employed 1% less than White male participants.
The tables below show the number of participants that would be employed the 2nd quarter after exit per 1,000 participants of that demographic group. It is an estimate of the count if all the participants in each demographic group had the same other demographic characteristics and barriers. In other words, the tables are showing the count if everyone was aged 22 to 44, was a high school graduate, and had no employment barriers. For example, in Utah 767 Hispanic/Latino female participants of every 1,000 Hispanic/Latino female participants would be employed the 2nd quarter after exit on average whereas nationally 730 would be employed on average.
The colored bar plots in the tables show how different demographic groups compare to each other. The amount of the bar filled-in is relative to the demographic group with the highest count (i.e., the demographic group with the highest count is 100% filled).
Employment Rate 4th Quarter after Exit
The plot below shows the average difference of demographic groups compared to White male participants after controlling for other demographic elements and employment barriers. For example, on average Hispanic/Latino male participants were employed 4% more than White male participants in Utah whereas nationally Hispanic/Latino male participants were employed 1% more than White male participants.
The tables below show the number of participants that would be employed the 4th quarter after exit per 1,000 participants of that demographic group. It is an estimate of the count if all the participants in each demographic group had the same other demographic characteristics and barriers. In other words, the tables are showing the count if everyone was aged 22 to 44, was a high school graduate, and had no employment barriers. For example, in Utah 778 Hispanic/Latino male participants of every 1,000 Hispanic/Latino male participants would be employed the 4th quarter after exit on average whereas nationally 770 would be employed on average.
The colored bar plots in the tables show how different demographic groups compare to each other. The amount of the bar filled-in is relative to the demographic group with the highest count (i.e., the demographic group with the highest count is 100% filled).
Youth
Click on the tabs below to navigate through the various outcome analysis topics for the Youth program.
Summary
The chart below serves as a high-level summary of differences in outcomes. The points on the chart represent different demographic groups. The vertical line in the center represents the baseline group rate, and the position of the points indicates where each demographic group falls compared to the baseline. A more detailed breakdown of each outcome can be found in the subsequent charts in this section.
All Youth
Data Table
This data table contains data displayed in the charts above. The table is available to copy or download as a CSV by clicking the buttons below.
In-School Youth
Data Table
This data table contains data displayed in the charts above. The table is available to copy or download as a CSV by clicking the buttons below.
Out-of-School Youth
Data Table
This data table contains data displayed in the charts above. The table is available to copy or download as a CSV by clicking the buttons below.
Details by Outcome
Below are detailed plots and tables showing the differences in participant outcomes by demographic group. Select the outcome of interest.
Median Earnings 2nd Quarter after Exit
The plots below shown the results and differences of the Median Earnings 2nd Quarter after Exit outcome by demographic group for the WIOA Youth program. Youth program data is shown in aggregate, along with subsets of in-school youth and out-of-school youth. Both Utah data and national data are shown.
All Youth
The first set of charts shows the Median Earnings 2nd Quarter after Exit for All Youth Black female participants in Utah is $3,159 and at the national level the earnings is $3,790.
In the charts below showing differences between demographic groups, the difference in Median Earnings 2nd Quarter after Exit between Black female participants and White male participants in Utah is -35% and at the national level the difference is -30%.
Data Tables
These data tables contain data displayed in the charts above. The tables are available to copy or download as a CSV by clicking the buttons below.
In-School Youth
The first set of charts shows the Median Earnings 2nd Quarter after Exit for in-school Youth Black female participants in Utah is $3,159 and at the national level the earnings is $3,042.
In the charts below showing differences between demographic groups, the difference in Median Earnings 2nd Quarter after Exit between Black female participants and White male participants in Utah is -25% and at the national level the difference is -29%.
Data Tables
These data tables contain data displayed in the charts above. The tables are available to copy or download as a CSV by clicking the buttons below.
Out-of-School Youth
The first set of charts shows the Median Earnings 2nd Quarter after Exit for out-of-school Youth Hispanic/Latino female participants in Utah is $3,592 and at the national level the earnings is $4,971.
In the charts below showing differences between demographic groups, the difference in Median Earnings 2nd Quarter after Exit between Hispanic/Latino female participants and White male participants in Utah is -28% and at the national level the difference is -12%.
Data Tables
These data tables contain data displayed in the charts above. The tables are available to copy or download as a CSV by clicking the buttons below.
Employment Rate 2nd Quarter after Exit
The plots below shown the results and differences of the Employment Rate 2nd Quarter after Exit outcome by demographic group for the WIOA Youth program. Youth program data is shown in aggregate, along with subsets of in-school youth and out-of-school youth. Both Utah data and national data are shown.
All Youth
The first set of charts shows the Employment Rate 2nd Quarter after Exit for All Youth Black female participants in Utah is 86% and at the national level the employment rate is 78%.
In the charts below showing differences between demographic groups, the difference in Employment Rate 2nd Quarter after Exit between Black female participants and White male participants in Utah is 8% and at the national level the difference is 5%.
Data Tables
These data tables contain data displayed in the charts above. The tables are available to copy or download as a CSV by clicking the buttons below.
In-School Youth
The first set of charts shows the Employment Rate 2nd Quarter after Exit for in-school Youth Black female participants in Utah is 100% and at the national level the employment rate is 77%.
In the charts below showing differences between demographic groups, the difference in Employment Rate 2nd Quarter after Exit between Black female participants and White male participants in Utah is 38% and at the national level the difference is 5%.
Data Tables
These data tables contain data displayed in the charts above. The tables are available to copy or download as a CSV by clicking the buttons below.
Out-of-School Youth
The first set of charts shows the Employment Rate 2nd Quarter after Exit for out-of-school Youth Hispanic/Latino female participants in Utah is 94% and at the national level the employment rate is 74%.
In the charts below showing differences between demographic groups, the difference in Employment Rate 2nd Quarter after Exit between Hispanic/Latino female participants and White male participants in Utah is 16% and at the national level the difference is -1%.
Data Tables
These data tables contain data displayed in the charts above. The tables are available to copy or download as a CSV by clicking the buttons below.
Employment Rate 4th Quarter after Exit
The plots below shown the results and differences of the Employment Rate 4th Quarter after Exit outcome by demographic group for the WIOA Youth program. Youth program data is shown in aggregate, along with subsets of in-school youth and out-of-school youth. Both Utah data and national data are shown.
All Youth
The first set of charts shows the Employment Rate 4th Quarter after Exit for All Youth Black female participants in Utah is 71% and at the national level the employment rate is 78%.
In the charts below showing differences between demographic groups, the difference in Employment Rate 4th Quarter after Exit between Black female participants and White male participants in Utah is -10% and at the national level the difference is 5%.
Data Tables
These data tables contain data displayed in the charts above. The tables are available to copy or download as a CSV by clicking the buttons below.
In-School Youth
The first set of charts shows the Employment Rate 4th Quarter after Exit for in-school Youth Black female participants in Utah is 75% and at the national level the employment rate is 80%.
In the charts below showing differences between demographic groups, the difference in Employment Rate 4th Quarter after Exit between Black female participants and White male participants in Utah is -8% and at the national level the difference is 9%.
Data Tables
These data tables contain data displayed in the charts above. The tables are available to copy or download as a CSV by clicking the buttons below.
Out-of-School Youth
The first set of charts shows the Employment Rate 4th Quarter after Exit for out-of-school Youth Hispanic/Latino female participants in Utah is 79% and at the national level the employment rate is 73%.
In the charts below showing differences between demographic groups, the difference in Employment Rate 4th Quarter after Exit between Hispanic/Latino female participants and White male participants in Utah is 0% and at the national level the difference is -1%.
Data Tables
These data tables contain data displayed in the charts above. The tables are available to copy or download as a CSV by clicking the buttons below.
Credential Attainment
The plots below shown the results and differences of the Credential Attainment outcome by demographic group for the WIOA Youth program. Youth program data is shown in aggregate, along with subsets of in-school youth and out-of-school youth. Both Utah data and national data are shown.
All Youth
The first set of charts shows the Credential Attainment rate for All Youth Black female participants in Utah is 50% and at the national level the rate is 61%.
In the charts below showing differences between demographic groups, the difference in Credential Attainment Rate between Black female participants and White male participants in Utah is -3% and at the national level the difference is -2%.
Data Tables
These data tables contain data displayed in the charts above. The tables are available to copy or download as a CSV by clicking the buttons below.
In-School Youth
The first set of charts shows the Credential Attainment rate for in-school Youth Black female participants in Utah is 75% and at the national level the rate is 60%.
In the charts below showing differences between demographic groups, the difference in Credential Attainment Rate between Black female participants and White male participants in Utah is 18% and at the national level the difference is 3%.
Data Tables
These data tables contain data displayed in the charts above. The tables are available to copy or download as a CSV by clicking the buttons below.
Out-of-School Youth
The first set of charts shows the Credential Attainment rate for out-of-school Youth Hispanic/Latino female participants in Utah is 67% and at the national level the rate is 60%.
In the charts below showing differences between demographic groups, the difference in Credential Attainment Rate between Hispanic/Latino female participants and White male participants in Utah is 35% and at the national level the difference is -4%.
Data Tables
These data tables contain data displayed in the charts above. The tables are available to copy or download as a CSV by clicking the buttons below.
Measurable Skill Gains
The plots below shown the results and differences of the Measurable Skill Gains outcome by demographic group for the WIOA Youth program. Youth program data is shown in aggregate, along with subsets of in-school youth and out-of-school youth. Both Utah data and national data are shown.
All Youth
The first set of charts shows the Measurable Skill Gains rate for All Youth Black female participants in Utah is 83% and at the national level the rate is 73%.
In the charts below showing differences between demographic groups, the difference in Measurable Skill Gains Rate between Black female participants and White male participants in Utah is 19% and at the national level the difference is -5%
Data Tables
These data tables contain data displayed in the charts above. The tables are available to copy or download as a CSV by clicking the buttons below.
In-School Youth
The first set of charts shows the Measurable Skill Gains rate for in-school Youth Black female participants in Utah is 100% and at the national level the rate is 79%.
In the charts below showing differences between demographic groups, the difference in Measurable Skill Gains Rate between Black female participants and White male participants in Utah is 10% and at the national level the difference is -3%
Data Tables
These data tables contain data displayed in the charts above. The tables are available to copy or download as a CSV by clicking the buttons below.
Out-of-School Youth
The first set of charts shows the Measurable Skill Gains rate for out-of-school Youth Hispanic/Latino female participants in Utah is 70% and at the national level the rate is 74%.
In the charts below showing differences between demographic groups, the difference in Measurable Skill Gains Rate between Hispanic/Latino female participants and White male participants in Utah is 6% and at the national level the difference is -1%
Data Tables
These data tables contain data displayed in the charts above. The tables are available to copy or download as a CSV by clicking the buttons below.
Employment in Training Occupation, 2nd Quarter after Exit
The plots below shown the results and differences of the Employment Rate 2nd Quarter after Exit outcome by demographic group for the Youth program. Both Utah data and national data are shown.
The first set of charts shows the employment rate in training occupation 2nd quarter after exit for White female participants in Utah is 19% and at the national level the rate is 47%.
All Youth
Data Tables
These data tables contain data displayed in the charts above. The tables are available to copy or download as a CSV by clicking the buttons below.
Model Estimates (Controlling for Participant Barriers)
This section shows the differences in outcomes by demographic group when controlling for the reported data on other demographic elements (e.g., age, education level, etc.) and employment barriers (e.g., disability status, low income, etc.). For more information on how these estimates were derived see Demographic and Barrier Models in the Methods tab.
Median Earnings 2nd Quarter after Exit
The plot below shows the average difference of demographic groups compared to White male participants after controlling for other demographic elements and employment barriers. For example, on average White female participants earned $999 less than White male participants in Utah whereas nationally White female participants earned $1,502 less than White male participants.
The tables below show the estimated 2nd quarter after exit earnings a participant of each demographic group would receive. It is an estimate of the amount if all the participants in each demographic group had the same other demographic characteristics and barriers. In other words, the tables are showing the earnings if everyone was aged 22 to 44, was a high school graduate, and had no employment barriers. For example, in Utah, White female participants had 2nd quarter after exit earnings of $3,787 whereas nationally these participants earned $3,966 on average.
The colored bar plots in the tables show how different demographic groups compare to each other. The amount of the bar filled-in is relative to the demographic group with the highest amount (i.e., the demographic group with the highest amount is 100% filled).
Employment Rate 2nd Quarter after Exit
The plot below shows the average difference of demographic groups compared to White male participants after controlling for other demographic elements and employment barriers. For example, on average Hispanic/Latino female participants were employed 17% more than White male participants in Utah whereas nationally Hispanic/Latino female participants were employed 1% more than White male participants.
The tables below show the number of participants that would be employed the 2nd quarter after exit per 1,000 participants of that demographic group. It is an estimate of the count if all the participants in each demographic group had the same other demographic characteristics and barriers. In other words, the tables are showing the count if everyone was aged 22 to 44, was a high school graduate, and had no employment barriers. For example, in Utah 966 Hispanic/Latino female participants of every 1,000 Hispanic/Latino female participants would be employed the 2nd quarter after exit on average whereas nationally 660 would be employed on average.
The colored bar plots in the tables show how different demographic groups compare to each other. The amount of the bar filled-in is relative to the demographic group with the highest count (i.e., the demographic group with the highest count is 100% filled).
Employment Rate 4th Quarter after Exit
The plot below shows the average difference of demographic groups compared to White male participants after controlling for other demographic elements and employment barriers. For example, on average Hispanic/Latino male participants were employed 3% less than White male participants in Utah whereas nationally Hispanic/Latino male participants were employed 0% more than White male participants.
The tables below show the number of participants that would be employed the 4th quarter after exit per 1,000 participants of that demographic group. It is an estimate of the count if all the participants in each demographic group had the same other demographic characteristics and barriers. In other words, the tables are showing the count if everyone was aged 22 to 44, was a high school graduate, and had no employment barriers. For example, in Utah 747 Hispanic/Latino male participants of every 1,000 Hispanic/Latino male participants would be employed the 4th quarter after exit on average whereas nationally 645 would be employed on average.
The colored bar plots in the tables show how different demographic groups compare to each other. The amount of the bar filled-in is relative to the demographic group with the highest count (i.e., the demographic group with the highest count is 100% filled).
Dislocated Worker
Click on the tabs below to navigate through the various outcome analysis topics for the Dislocated Worker program.
Summary
The chart below serves as a high-level summary of differences in outcomes. The points on the chart represent different demographic groups. The vertical line in the center represents the baseline group rate, and the position of the points indicates where each demographic group falls compared to the baseline. A more detailed breakdown of each outcome can be found in the subsequent charts in this section.
Data Table
This data table contains data displayed in the charts above. The table is available to copy or download as a CSV by clicking the buttons below.
Details by Outcome
Below are detailed plots and tables showing the differences in participant outcomes by demographic group. Select the outcome of interest.
Median Earnings 2nd Quarter after Exit
The plots below shown the results and differences of the Median Earnings 2nd Quarter after Exit outcome by demographic group for the Dislocated Worker program. Both Utah data and national data are shown.
The first set of charts shows the Median Earnings 2nd Quarter after Exit for Black female participants in Utah is $11,746 and at the national level the earnings is $6,857.
In the charts below showing differences between demographic groups, the difference in Median Earnings 2nd Quarter after Exit between Black female participants and White male participants in Utah is -14% and at the national level the difference is -36%.
Data Tables
These data tables contain data displayed in the charts above. The tables are available to copy or download as a CSV by clicking the buttons below.
Employment Rate 2nd Quarter after Exit
The plots below shown the results and differences of the Employment Rate 2nd Quarter after Exit outcome by demographic group for the Dislocated Worker program. Both Utah data and national data are shown.
The first set of charts shows the Employment Rate 2nd Quarter after Exit for Black female participants in Utah is 50% and at the national level the employment rate is 73%.
In the charts below showing differences between demographic groups, the difference in Employment Rate 2nd Quarter after Exit between Black female participants and White male participants in Utah is -38% and at the national level the difference is 3%.
Data Tables
These data tables contain data displayed in the charts above. The tables are available to copy or download as a CSV by clicking the buttons below.
Employment Rate 4th Quarter after Exit
The plots below shown the results and differences of the Employment Rate 4th Quarter after Exit outcome by demographic group for the Dislocated Worker program. Both Utah data and national data are shown.
The first set of charts shows the Employment Rate 4th Quarter after Exit for Black female participants in Utah is 62% and at the national level the employment rate is 78%.
In the charts below showing differences between demographic groups, the difference in Employment Rate 4th Quarter after Exit between Black female participants and White male participants in Utah is -22% and at the national level the difference is 7%.
Data Tables These data tables contain data displayed in the charts above. The tables are available to copy or download as a CSV by clicking the buttons below.
Credential Attainment
The plots below shown the results and differences of the Credential Attainment outcome by demographic group for the Dislocated Worker program. Both Utah data and national data are shown.
The first set of charts shows the Credential Attainment rate for Black female participants in Utah is 25% and at the national level the rate is 67%.
In the charts below showing differences between demographic groups, the difference in Credential Attainment Rate between Black female participants and White male participants in Utah is -62% and at the national level the difference is -15%
Data Tables These data tables contain data displayed in the charts above. The tables are available to copy or download as a CSV by clicking the buttons below.
Measurable Skill Gains
The plots below shown the results and differences of the Measurable Skill Gains outcome by demographic group for the Dislocated Worker program. Both Utah data and national data are shown.
The first set of charts shows the Measurable Skill Gains rate for Black female participants in Utah is 25% and at the national level the rate is 74%.
In the charts below showing differences between demographic groups, the difference in Measurable Skill Gains Rate between Black female participants and White male participants in Utah is -64% and at the national level the difference is -11%
Data Tables These data tables contain data displayed in the charts above. The tables are available to copy or download as a CSV by clicking the buttons below.
Employment in Training Occupation, 2nd Quarter after Exit
The plots below shown the results and differences of the Employment in Training Occupation, 2nd Quarter after Exit outcome by demographic group for the Dislocated Worker program. Both Utah data and national data are shown.
The first set of charts shows the employment rate in training occupation 2nd quarter after exit for White female participants in Utah is 59% and at the national level the rate is 56%.
Data Tables These data tables contain data displayed in the charts above. The tables are available to copy or download as a CSV by clicking the buttons below.
Model Estimates (Controlling for Participant Barriers)
This section shows the differences in outcomes by demographic group when controlling for the reported data on other demographic elements (e.g., age, education level, etc.) and employment barriers (e.g., disability status, low income, etc.). For more information on how these estimates were derived see Demographic and Barrier Models in the Methods tab.
Median Earnings 2nd Quarter after Exit
The plot below shows the average difference of demographic groups compared to White male participants after controlling for other demographic elements and employment barriers. For example, on average White female participants earned $3,168 less than White male participants in Utah whereas nationally White female participants earned $3,605 less than White male participants.
The tables below show the estimated 2nd quarter after exit earnings a participant of each demographic group would receive. It is an estimate of the amount if all the participants in each demographic group had the same other demographic characteristics and barriers. In other words, the tables are showing the earnings if everyone was aged 22 to 44, was a high school graduate, and had no employment barriers. For example, in Utah, White female participants had 2nd quarter after exit earnings of $9,764 whereas nationally these participants earned $9,930 on average.
The colored bar plots in the tables show how different demographic groups compare to each other. The amount of the bar filled-in is relative to the demographic group with the highest amount (i.e., the demographic group with the highest amount is 100% filled).
Employment Rate 2nd Quarter after Exit
The plot below shows the average difference of demographic groups compared to White male participants after controlling for other demographic elements and employment barriers. For example, on average Hispanic/Latino female participants were employed 1% less than White male participants in Utah whereas nationally Hispanic/Latino female participants were employed 2% less than White male participants.
The tables below show the number of participants that would be employed the 2nd quarter after exit per 1,000 participants of that demographic group. It is an estimate of the count if all the participants in each demographic group had the same other demographic characteristics and barriers. In other words, the tables are showing the count if everyone was aged 22 to 44, was a high school graduate, and had no employment barriers. For example, in Utah 806 Hispanic/Latino female participants of every 1,000 Hispanic/Latino female participants would be employed the 2nd quarter after exit on average whereas nationally 752 would be employed on average.
The colored bar plots in the tables show how different demographic groups compare to each other. The amount of the bar filled-in is relative to the demographic group with the highest count (i.e., the demographic group with the highest count is 100% filled).
Employment Rate 4th Quarter after Exit
The plot below shows the average difference of demographic groups compared to White male participants after controlling for other demographic elements and employment barriers. For example, on average Hispanic/Latino male participants were employed 11% more than White male participants in Utah whereas nationally Hispanic/Latino male participants were employed 1% less than White male participants.
The tables below show the number of participants that would be employed the 4th quarter after exit per 1,000 participants of that demographic group. It is an estimate of the count if all the participants in each demographic group had the same other demographic characteristics and barriers. In other words, the tables are showing the count if everyone was aged 22 to 44, was a high school graduate, and had no employment barriers. For example, in Utah 912 Hispanic/Latino male participants of every 1,000 Hispanic/Latino male participants would be employed the 4th quarter after exit on average whereas nationally 793 would be employed on average.
The colored bar plots in the tables show how different demographic groups compare to each other. The amount of the bar filled-in is relative to the demographic group with the highest count (i.e., the demographic group with the highest count is 100% filled).
Wagner-Peyser
Click on the tabs below to navigate through the various outcome analysis topics for the Wagner-Peyser program.
Summary
The chart below serves as a high-level summary of differences in outcomes. The points on the chart represent different demographic groups. The vertical line in the center represents the baseline group rate, and the position of the points indicates where each demographic group falls compared to the baseline. A more detailed breakdown of each outcome can be found in the subsequent charts in this section.
Data Table
This data table contains data displayed in the charts above. The table is available to copy or download as a CSV by clicking the buttons below.
Details by Outcome
Below are detailed plots and tables showing the differences in participant outcomes by demographic group. Select the outcome of interest.
Median Earnings 2nd Quarter after Exit
The plots below shown the results and differences of the Median Earnings 2nd Quarter after Exit outcome by demographic group for the Wagner-Peyser program. Both Utah data and national data are shown.
The first set of charts shows the Median Earnings 2nd Quarter after Exit for Black female participants in Utah is $6,888 and at the national level the earnings is $5,852.
In the charts below showing differences between demographic groups, the difference in Median Earnings 2nd Quarter after Exit between Black female participants and White male participants in Utah is -41% and at the national level the difference is -37%.
Data Tables These data tables contain data displayed in the charts above. The tables are available to copy or download as a CSV by clicking the buttons below.
Employment Rate 2nd Quarter after Exit
The plots below shown the results and differences of the Employment Rate 2nd Quarter after Exit outcome by demographic group for the Wagner-Peyser program. Both Utah data and national data are shown.
The first set of charts shows the Employment Rate 2nd Quarter after Exit for Black female participants in Utah is 67% and at the national level the employment rate is 71%.
In the charts below showing differences between demographic groups, the difference in Employment Rate 2nd Quarter after Exit between Black female participants and White male participants in Utah is -3% and at the national level the difference is 9%.
Data Tables These data tables contain data displayed in the charts above. The tables are available to copy or download as a CSV by clicking the buttons below.
Employment Rate 4th Quarter after Exit
The plots below shown the results and differences of the Employment Rate 4th Quarter after Exit outcome by demographic group for the Wagner-Peyser program. Both Utah data and national data are shown.
The first set of charts shows the Employment Rate 4th Quarter after Exit for Black female participants in Utah is 67% and at the national level the employment rate is 73%.
In the charts below showing differences between demographic groups, the difference in Employment Rate 4th Quarter after Exit between Black female participants and White male participants in Utah is -3% and at the national level the difference is 11%.
Data Tables These data tables contain data displayed in the charts above. The tables are available to copy or download as a CSV by clicking the buttons below.
Model Estimates (Controlling for Participant Barriers)
This section shows the differences in outcomes by demographic group when controlling for the reported data on other demographic elements (e.g., age, education level, etc.) and employment barriers (e.g., disability status, low income, etc.). For more information on how these estimates were derived see Demographic and Barrier Models in the Methods tab.
Median Earnings 2nd Quarter after Exit
The plot below shows the average difference of demographic groups compared to White male participants after controlling for other demographic elements and employment barriers. For example, on average White female participants earned $4,314 less than White male participants in Utah whereas nationally White female participants earned $3,832 less than White male participants.
The tables below show the estimated 2nd quarter after exit earnings a participant of each demographic group would receive. It is an estimate of the amount if all the participants in each demographic group had the same other demographic characteristics and barriers. In other words, the tables are showing the earnings if everyone was aged 22 to 44, was a high school graduate, and had no employment barriers. For example, in Utah, White female participants had 2nd quarter after exit earnings of $7,258 whereas nationally these participants earned $5,800 on average.
The colored bar plots in the tables show how different demographic groups compare to each other. The amount of the bar filled-in is relative to the demographic group with the highest amount (i.e., the demographic group with the highest amount is 100% filled).
Employment Rate 2nd Quarter after Exit
The plot below shows the average difference of demographic groups compared to White male participants after controlling for other demographic elements and employment barriers. For example, on average Hispanic/Latino female participants were employed 2% more than White male participants in Utah whereas nationally Hispanic/Latino female participants were employed 1% more than White male participants.
The tables below show the number of participants that would be employed the 2nd quarter after exit per 1,000 participants of that demographic group. It is an estimate of the count if all the participants in each demographic group had the same other demographic characteristics and barriers. In other words, the tables are showing the count if everyone was aged 22 to 44, was a high school graduate, and had no employment barriers. For example, in Utah 707 Hispanic/Latino female participants of every 1,000 Hispanic/Latino female participants would be employed the 2nd quarter after exit on average whereas nationally 639 would be employed on average.
The colored bar plots in the tables show how different demographic groups compare to each other. The amount of the bar filled-in is relative to the demographic group with the highest count (i.e., the demographic group with the highest count is 100% filled).
Employment Rate 4th Quarter after Exit
The plot below shows the average difference of demographic groups compared to White male participants after controlling for other demographic elements and employment barriers. For example, on average Hispanic/Latino male participants were employed 0% more than White male participants in Utah whereas nationally Hispanic/Latino male participants were employed 1% more than White male participants.
The tables below show the number of participants that would be employed the 4th quarter after exit per 1,000 participants of that demographic group. It is an estimate of the count if all the participants in each demographic group had the same other demographic characteristics and barriers. In other words, the tables are showing the count if everyone was aged 22 to 44, was a high school graduate, and had no employment barriers. For example, in Utah 694 Hispanic/Latino male participants of every 1,000 Hispanic/Latino male participants would be employed the 4th quarter after exit on average whereas nationally 638 would be employed on average.
The colored bar plots in the tables show how different demographic groups compare to each other. The amount of the bar filled-in is relative to the demographic group with the highest count (i.e., the demographic group with the highest count is 100% filled).
Relationship: Services & Outcomes
Relationship between Services and Outcomes for Participants
This section explores the intersection of services provided and outcomes for WIOA program participants of different demographic groups. The disparity in outcomes between groups is displayed by the ‘highest level of service’ each participant received (participants may receive multiple), tiered from the lowest service being Basic, to then Individualized, to Training Services being the highest service. The section starts with high-level summary charts showing outcomes by each service type. Then, we look at the differences in demographic groups for each outcome and service type. Lastly, there is a section that explores differences in outcomes by service type when controlling for participant barriers to employment.
For further help interpreting these charts and others, please refer to the Supplemental Guide.
Adult
Click on the tabs below to navigate through the various outcome analysis topics for the Adult program.
Summary
Data Tables
These data tables contain data displayed in the charts above. The tables are available to copy or download as a CSV by clicking the buttons below.
Details by Outcome
Below are detailed plots and tables showing the differences in participant outcomes by demographic group. Select the outcome of interest.
Median Earnings 2nd Quarter after Exit
Data Tables
These data tables contain data displayed in the charts above. The tables are available to copy or download as a CSV by clicking the buttons below.
Employment Rate 2nd Quarter after Exit
Data Tables
These data tables contain data displayed in the charts above. The tables are available to copy or download as a CSV by clicking the buttons below.
Employment Rate 4th Quarter after Exit
Data Tables
These data tables contain data displayed in the charts above. The tables are available to copy or download as a CSV by clicking the buttons below.
Model Estimates (Controlling for Participant Barriers)
This section shows the differences in outcomes based on the highest level of services received by demographic group when controlling for the reported data on other demographic elements (e.g., age, education level, etc.) and employment barriers (e.g., disability status, low income, etc.). For more information on how these estimates were derived see Demographic and Barrier Models in the Methods tab. Highest level of services received is ordered from basic career services to individualized career services to training services.
Median Earnings 2nd Quarter after Exit
Select the tab below to see the estimated outcomes by highest level of service received.
Individualized Career Services
The plot below shows the average difference in outcomes for demographic groups compared to White male participants who’s highest level of service was Individualized Career Services after controlling for other demographic elements and employment barriers. For example, on average Black male participants earned $384 less than White male participants in Utah whereas nationally Black male participants earned $774 less than White male participants.
The tables below show the estimated 2nd quarter after exit earnings a participant of each demographic group would earn if the highest service they received was Individualized Career Services. It is an estimate of the amount if all the participants in each demographic group had the same other demographic characteristics and barriers. In other words, the tables are showing the earnings if everyone was aged 22 to 44, was a high school graduate, and had no employment barriers. For example, in Utah, Black male participants had 2nd quarter after exit earnings of $6,645 whereas nationally these participants earned $9,551 on average.
The colored bar plots in the tables show how different demographic groups compare to each other. The amount of the bar filled-in is relative to the demographic group with the highest amount (i.e., the demographic group with the highest amount is 100% filled).
Training Services
The plot below shows the average difference in outcomes for demographic groups compared to White male participants who’s highest level of service was Training Services after controlling for other demographic elements and employment barriers. For example, on average Asian male participants earned $758 less than White male participants in Utah whereas nationally Asian male participants earned $137 more than White male participants.
The tables below show the estimated 2nd quarter after exit earnings a participant of each demographic group would earn if the highest service they received was Training Services. It is an estimate of the amount if all the participants in each demographic group had the same other demographic characteristics and barriers. In other words, the tables are showing the earnings if everyone was aged 22 to 44, was a high school graduate, and had no employment barriers. For example, in Utah, Asian male participants had 2nd quarter after exit earnings of $9,222 whereas nationally these participants earned $10,289 on average.
The colored bar plots in the tables show how different demographic groups compare to each other. The amount of the bar filled-in is relative to the demographic group with the highest amount (i.e., the demographic group with the highest amount is 100% filled).
Employment Rate 2nd Quarter after Exit
Select the tab below to see the estimated outcomes by highest level of service received.
Individualized Career Services
The plot below shows the average difference in outcomes for demographic groups compared to White male participants who’s highest level of service was Individualized Career Services after controlling for other demographic elements and employment barriers. For example, on average Black male participants were employed the second quarter after exit 3% more than White male participants in Utah whereas nationally Black male participants were employed 2% less than White male participants.
The tables below show the estimated number of participants that would be employed the 2nd quarter after exit for each demographic group if the highest service they received was Individualized Career Services. It is an estimate of the amount if all the participants in each demographic group had the same other demographic characteristics and barriers. In other words, the tables are showing the number employed if everyone was aged 22 to 44, was a high school graduate, and had no employment barriers. For example, in Utah, 768 Black male participants would be employed the 2nd quarter after exit whereas nationally 734 would be employed on average.
The colored bar plots in the tables show how different demographic groups compare to each other. The amount of the bar filled-in is relative to the demographic group with the highest amount (i.e., the demographic group with the highest amount is 100% filled).
Training Services
The plot below shows the average difference in outcomes for demographic groups compared to White male participants who’s highest level of service was Training Services after controlling for other demographic elements and employment barriers. For example, on average White female participants were employed the second quarter after exit 8% more than White male participants in Utah whereas nationally White female participants were employed 1% less than White male participants.
The tables below show the estimated number of participants that would be employed the 2nd quarter after exit for each demographic group if the highest service they received was Training Services. It is an estimate of the amount if all the participants in each demographic group had the same other demographic characteristics and barriers. In other words, the tables are showing the number employed if everyone was aged 22 to 44, was a high school graduate, and had no employment barriers. For example, in Utah, 819 White female participants would be employed the 2nd quarter after exit whereas nationally 764 would be employed on average.
The colored bar plots in the tables show how different demographic groups compare to each other. The amount of the bar filled-in is relative to the demographic group with the highest amount (i.e., the demographic group with the highest amount is 100% filled).
Employment Rate 4th Quarter after Exit
Select the tab below to see the estimated outcomes by highest level of service received.
Individualized Career Services
The plot below shows the average difference in outcomes for demographic groups compared to White male participants who’s highest level of service was Individualized Career Services after controlling for other demographic elements and employment barriers. For example, on average White female participants were employed the second quarter after exit 6% less than White male participants in Utah whereas nationally White female participants were employed 1% more than White male participants.
The tables below show the estimated number of participants that would be employed the 4th quarter after exit for each demographic group if the highest service they received was Individualized Career Services. It is an estimate of the amount if all the participants in each demographic group had the same other demographic characteristics and barriers. In other words, the tables are showing the number employed if everyone was aged 22 to 44, was a high school graduate, and had no employment barriers. For example, in Utah, 638 White female participants would be employed the 2nd quarter after exit whereas nationally 726 would be employed on average.
The colored bar plots in the tables show how different demographic groups compare to each other. The amount of the bar filled-in is relative to the demographic group with the highest amount (i.e., the demographic group with the highest amount is 100% filled).
Training Services
The plot below shows the average difference in outcomes for demographic groups compared to White male participants who’s highest level of service was Training Services after controlling for other demographic elements and employment barriers. For example, on average Asian male participants were employed the second quarter after exit 15% more than White male participants in Utah whereas nationally Asian male participants were employed 5% less than White male participants.
The tables below show the estimated number of participants that would be employed the 4th quarter after exit for each demographic group if the highest service they received was Training Services. It is an estimate of the amount if all the participants in each demographic group had the same other demographic characteristics and barriers. In other words, the tables are showing the number employed if everyone was aged 22 to 44, was a high school graduate, and had no employment barriers. For example, in Utah, 916 Asian male participants would be employed the 2nd quarter after exit whereas nationally 751 would be employed on average.
The colored bar plots in the tables show how different demographic groups compare to each other. The amount of the bar filled-in is relative to the demographic group with the highest amount (i.e., the demographic group with the highest amount is 100% filled).
Dislocated Worker
Click on the tabs below to navigate through the various outcome analysis topics for the Dislocated Worker program.
Summary
Data Tables
These data tables contain data displayed in the charts above. The tables are available to copy or download as a CSV by clicking the buttons below.
Details by Outcome
Below are detailed plots and tables showing the differences in participant outcomes by demographic group. Select the outcome of interest.
Median Earnings 2nd Quarter after Exit
Data Tables
These data tables contain data displayed in the charts above. The tables are available to copy or download as a CSV by clicking the buttons below.
Employment Rate 2nd Quarter after Exit
Data Tables
These data tables contain data displayed in the charts above. The tables are available to copy or download as a CSV by clicking the buttons below.
Employment Rate 4th Quarter after Exit
Data Tables
These data tables contain data displayed in the charts above. The tables are available to copy or download as a CSV by clicking the buttons below.
Model Estimates (Controlling for Participant Barriers)
This section shows the differences in outcomes based on the highest level of services received by demographic group when controlling for the reported data on other demographic elements (e.g., age, education level, etc.) and employment barriers (e.g., disability status, low income, etc.). For more information on how these estimates were derived see Demographic and Barrier Models in the Methods tab. Highest level of services received is ordered from basic career services to individualized career services to training services.
Median Earnings 2nd Quarter after Exit
Select the tab below to see the estimated outcomes by highest level of service received.
Individualized Career Services
The plot below shows the average difference in outcomes for demographic groups compared to White male participants who’s highest level of service was Individualized Career Services after controlling for other demographic elements and employment barriers. For example, on average White female participants earned $1,418 less than White male participants in Utah whereas nationally White female participants earned $3,679 less than White male participants.
The tables below show the estimated 2nd quarter after exit earnings a participant of each demographic group would earn if the highest service they received was Individualized Career Services. It is an estimate of the amount if all the participants in each demographic group had the same other demographic characteristics and barriers. In other words, the tables are showing the earnings if everyone was aged 22 to 44, was a high school graduate, and had no employment barriers. For example, in Utah, White female participants had 2nd quarter after exit earnings of $10,618 whereas nationally these participants earned $11,673 on average.
The colored bar plots in the tables show how different demographic groups compare to each other. The amount of the bar filled-in is relative to the demographic group with the highest amount (i.e., the demographic group with the highest amount is 100% filled).
Training Services
The plot below shows the average difference in outcomes for demographic groups compared to White male participants who’s highest level of service was Training Services after controlling for other demographic elements and employment barriers. For example, on average Asian male participants earned $561 less than White male participants in Utah whereas nationally Asian male participants earned $2,321 more than White male participants.
The tables below show the estimated 2nd quarter after exit earnings a participant of each demographic group would earn if the highest service they received was Training Services. It is an estimate of the amount if all the participants in each demographic group had the same other demographic characteristics and barriers. In other words, the tables are showing the earnings if everyone was aged 22 to 44, was a high school graduate, and had no employment barriers. For example, in Utah, Asian male participants had 2nd quarter after exit earnings of $12,716 whereas nationally these participants earned $15,255 on average.
The colored bar plots in the tables show how different demographic groups compare to each other. The amount of the bar filled-in is relative to the demographic group with the highest amount (i.e., the demographic group with the highest amount is 100% filled).
Employment Rate 2nd Quarter after Exit
Select the tab below to see the estimated outcomes by highest level of service received.
Individualized Career Services
The plot below shows the average difference in outcomes for demographic groups compared to White male participants who’s highest level of service was Individualized Career Services after controlling for other demographic elements and employment barriers. For example, on average White female participants were employed the second quarter after exit 15% more than White male participants in Utah whereas nationally White female participants were employed 0% more than White male participants.
The tables below show the estimated number of participants that would be employed the 2nd quarter after exit for each demographic group if the highest service they received was Individualized Career Services. It is an estimate of the amount if all the participants in each demographic group had the same other demographic characteristics and barriers. In other words, the tables are showing the number employed if everyone was aged 22 to 44, was a high school graduate, and had no employment barriers. For example, in Utah, 935 White female participants would be employed the 2nd quarter after exit whereas nationally 841 would be employed on average.
The colored bar plots in the tables show how different demographic groups compare to each other. The amount of the bar filled-in is relative to the demographic group with the highest amount (i.e., the demographic group with the highest amount is 100% filled).
Training Services
The plot below shows the average difference in outcomes for demographic groups compared to White male participants who’s highest level of service was Training Services after controlling for other demographic elements and employment barriers. For example, on average Black female participants were employed the second quarter after exit 26% less than White male participants in Utah whereas nationally Black female participants were employed 4% less than White male participants.
The tables below show the estimated number of participants that would be employed the 2nd quarter after exit for each demographic group if the highest service they received was Training Services. It is an estimate of the amount if all the participants in each demographic group had the same other demographic characteristics and barriers. In other words, the tables are showing the number employed if everyone was aged 22 to 44, was a high school graduate, and had no employment barriers. For example, in Utah, 564 Black female participants would be employed the 2nd quarter after exit whereas nationally 735 would be employed on average.
The colored bar plots in the tables show how different demographic groups compare to each other. The amount of the bar filled-in is relative to the demographic group with the highest amount (i.e., the demographic group with the highest amount is 100% filled).
Employment Rate 4th Quarter after Exit
Select the tab below to see the estimated outcomes by highest level of service received.
Individualized Career Services
The plot below shows the average difference in outcomes for demographic groups compared to White male participants who’s highest level of service was Individualized Career Services after controlling for other demographic elements and employment barriers. For example, on average White female participants were employed the second quarter after exit 9% more than White male participants in Utah whereas nationally White female participants were employed 1% more than White male participants.
The tables below show the estimated number of participants that would be employed the 4th quarter after exit for each demographic group if the highest service they received was Individualized Career Services. It is an estimate of the amount if all the participants in each demographic group had the same other demographic characteristics and barriers. In other words, the tables are showing the number employed if everyone was aged 22 to 44, was a high school graduate, and had no employment barriers. For example, in Utah, 829 White female participants would be employed the 2nd quarter after exit whereas nationally 873 would be employed on average.
The colored bar plots in the tables show how different demographic groups compare to each other. The amount of the bar filled-in is relative to the demographic group with the highest amount (i.e., the demographic group with the highest amount is 100% filled).
Training Services
The plot below shows the average difference in outcomes for demographic groups compared to White male participants who’s highest level of service was Training Services after controlling for other demographic elements and employment barriers. For example, on average Asian male participants were employed the second quarter after exit 27% less than White male participants in Utah whereas nationally Asian male participants were employed 6% less than White male participants.
The tables below show the estimated number of participants that would be employed the 4th quarter after exit for each demographic group if the highest service they received was Training Services. It is an estimate of the amount if all the participants in each demographic group had the same other demographic characteristics and barriers. In other words, the tables are showing the number employed if everyone was aged 22 to 44, was a high school graduate, and had no employment barriers. For example, in Utah, 551 Asian male participants would be employed the 2nd quarter after exit whereas nationally 733 would be employed on average.
The colored bar plots in the tables show how different demographic groups compare to each other. The amount of the bar filled-in is relative to the demographic group with the highest amount (i.e., the demographic group with the highest amount is 100% filled).
Methods
Analysis Methods
This section provides more details on analysis decisions and data treatments for these dashboards. For more information on how to use and interpret the Workforce Services Dashboards, please refer to the Supplemental Guide. The information in these dashboards is not simply a reflection of the data as it is reported to ETA by states. Instead, the reported data has been transformed and modeled as needed to align to the objectives of these dashboards and improve the potential insights that can be drawn. We have divided this section into three broad categories:
- Analysis and Data Decisions - This section outlines the business rules we implemented in this analysis, including which participants were included, how the reported data was transformed, and other analysis decisions.
- Data Imputation - This section explains the imputation models that were used to account for missing data.
- Demographic Barrier Models - This section describes the models that were used to estimate demographic group differences for services and outcomes when controlling for other demographic and employment barriers.
Analysis and Data Decisions
A variety of decisions regarding how to properly treat, transform, and analyze the program data were made in the process of developing this analysis. These decisions are described below.
Scope of Participants
Throughout this analysis, we filter for participants who have exited the program long enough to have all outcomes reported. We did this for two primary reasons. First, we wanted to get a complete picture of the services provided and outcomes of a participant. If we included all reported participants of a program year, the analysis would include participants that may not yet have had an opportunity to receive certain services or attain certain outcomes. Second, we wanted to use the same population of participants throughout the analysis. If we included participants who had not yet exited the program, then the population being analyzed would differ significantly depending on whether we were looking at services provided, outcomes, or other areas of analysis. As a result, reported statistics of participants for a program year that show things such as demographic and service percentages may not align with the statistics in this analysis that show those percentages for just the exiters of the same program year. However, the statistics for the participant outcomes that are reported four quarters after exit (Employment Rate 4th Quarter after Exit and Credential Attainment Rate) should be relatively aligned to the reported program year outcomes.
Missing Data
For all analysis outside of the Data Quality section, we use imputed data for the race, ethnicity, and sex data elements. The data for these demographic elements was only imputed for those instances where it was missing. For more information on how missing demographic data was imputed see the Data Imputation section below.
Data Suppression
Following the precedent set by Census, we are choosing to suppress fields with fewer than four values, a practice employed to maintain data confidentiality and uphold privacy standards in line with established methodologies.
Classification of Demographic Groups
Description
In the raw data, each racial category is a separate data element with the options of yes, no, or did not self-identify for each category. For this analysis, the racial data was modified so that all the racial categories were combined. This made it so that each participant was given one label—the category where yes was indicated. If more than one racial category had a yes indication, the participant was labeled as multi-race (or more than 2 races). These changes were made to decrease the exponential number of potential combinations as well as to improve the ability to impute missing race data. As a result, each participant is only in one racial grouping throughout the analysis (note: a participant can be in a race group and Hispanic group). In addition, American Indian / Native Americans, Hawaiian / Pacific Islanders, and multiracial together comprise less than 10% of total program participants. For this reason, in visualizations we group these race categories together as “Other”. Participants are represented in only one race category (White, Black, Asian, Other).
Click on the tab above to view data on the counts for each demographic group.
Data Tables
| Utah Program Participant Counts by Race/Ethnicity & Sex | ||||
| In these reports, Native Hawaiian/Pacific Islander, American Indian/Alaskan Native, and Multirace participants are combined into a category labeled 'Other.' | ||||
| WIOA Adult | WIOA Youth | Dislocated Worker | Wagner-Peyser | |
|---|---|---|---|---|
| Asian | ||||
| Male | 6 (1.1%) | Suppressed | 9 (1.7%) | 1,611 (1.4%) |
| Female | 5 (0.9%) | Suppressed | Suppressed | 1,731 (1.5%) |
| Black | ||||
| Male | 38 (7.1%) | 7 (2.1%) | 18 (3.4%) | 2,357 (2%) |
| Female | Suppressed | 7 (2.1%) | 8 (1.5%) | 1,738 (1.5%) |
| White | ||||
| Male | 219 (40.9%) | 146 (44.1%) | 275 (51.3%) | 53,301 (45.9%) |
| Female | 207 (38.7%) | 125 (37.8%) | 202 (37.7%) | 48,047 (41.4%) |
| Hispanic/Latino | ||||
| Male | 60 (11.2%) | 41 (12.4%) | 48 (9%) | 7,916 (6.8%) |
| Female | 60 (11.2%) | 39 (11.8%) | 32 (6%) | 8,015 (6.9%) |
| American Indian/Alaskan Native | ||||
| Male | 9 (1.7%) | 4 (1.2%) | 7 (1.3%) | 1,473 (1.3%) |
| Female | 15 (2.8%) | 6 (1.8%) | 4 (0.7%) | 1,366 (1.2%) |
| Multirace | ||||
| Male | 8 (1.5%) | 10 (3%) | Suppressed | 1,362 (1.2%) |
| Female | 10 (1.9%) | 9 (2.7%) | Suppressed | 1,270 (1.1%) |
| Native Hawaiian/Pacific Islander | ||||
| Male | 10 (1.9%) | Suppressed | 9 (1.7%) | 958 (0.8%) |
| Female | 6 (1.1%) | Suppressed | Suppressed | 909 (0.8%) |
| National Program Participant Counts by Race/Ethnicity & Sex | ||||
| In these reports, Native Hawaiian/Pacific Islander, American Indian/Alaskan Native, and Multirace participants are combined into a category labeled 'Other.' | ||||
| WIOA Adult | WIOA Youth | Dislocated Worker | Wagner-Peyser | |
|---|---|---|---|---|
| Asian | ||||
| Male | 2,655 (1.3%) | 632 (0.9%) | 3,985 (2.4%) | 28,223 (1.4%) |
| Female | 3,200 (1.6%) | 767 (1%) | 4,994 (3.1%) | 29,796 (1.5%) |
| Black | ||||
| Male | 30,298 (14.9%) | 11,079 (15%) | 19,736 (12.1%) | 251,228 (12.5%) |
| Female | 36,880 (18.1%) | 13,906 (18.8%) | 25,230 (15.4%) | 304,251 (15.2%) |
| White | ||||
| Male | 58,764 (28.9%) | 18,883 (25.5%) | 50,385 (30.8%) | 679,267 (33.8%) |
| Female | 59,705 (29.4%) | 20,375 (27.6%) | 50,592 (31%) | 621,815 (31%) |
| Hispanic/Latino | ||||
| Male | 21,810 (10.7%) | 11,167 (15.1%) | 18,856 (11.5%) | 234,948 (11.7%) |
| Female | 27,297 (13.4%) | 12,955 (17.5%) | 22,078 (13.5%) | 221,888 (11.1%) |
| American Indian/Alaskan Native | ||||
| Male | 1,328 (0.7%) | 601 (0.8%) | 858 (0.5%) | 14,258 (0.7%) |
| Female | 1,494 (0.7%) | 605 (0.8%) | 922 (0.6%) | 13,636 (0.7%) |
| Multirace | ||||
| Male | 3,279 (1.6%) | 1,969 (2.7%) | 2,432 (1.5%) | 23,811 (1.2%) |
| Female | 4,139 (2%) | 2,420 (3.3%) | 3,131 (1.9%) | 27,293 (1.4%) |
| Native Hawaiian/Pacific Islander | ||||
| Male | 420 (0.2%) | 132 (0.2%) | 370 (0.2%) | 4,180 (0.2%) |
| Female | 448 (0.2%) | 136 (0.2%) | 493 (0.3%) | 4,231 (0.2%) |
Demographic Reference Group
In some sections, we include charts that show the percentage difference in outcomes between each demographic group and a reference group. For the purposes of these dashboards, we use White male program participants as the reference group. We draw on past research standards (e.g. DOL, PNAS), which have employed White males as a benchmark group to establish comparative analyses and discern patterns. Note that this group includes both Hispanic White males and non-Hispanic White males.
‘Eligible’ Population
When determining the ‘eligible’ population for the System Reach section, we explored various options. We initially considered restricting it to priority populations and diving into details, however, using these descriptions would inadvertently exclude too many individuals. Consequently, for WIOA Adult, Dislocated Worker, and Wagner-Peyser, we opted to include all state constituents aged 18 and above. As for WIOA Youth, we narrowed down the ‘eligible’ population to individuals aged 15 to 24, aligning with the age division utilized by Census for youth.
Data Imputation
For this analysis we imputed missing demographic data for those participants that did not have data reported for sex, ethnicity, or race.
Why did we impute?
We made the decision to impute missing data for several reasons. First, we did not want to exclude participants from this analysis. If we did not impute the demographic data for participants who did not report any of the select demographic elements, then that participant would have been excluded from this analysis. We wanted to base this analysis on all participants on the given program year and other criteria. Second, we aimed to reduce the uncertainty that was present when analyzing the differences between different demographic groups. Prior to conducting the analysis in these dashboards, we examined the quality and completeness of the reported demographic data. As a part of that work, we conducted sensitivity analyses that showed how missing data could impact the direction and/or magnitude of any findings of demographic differences. Finally, while exploring the quality and completeness of reported data we also tested our ability to predict missing demographic data. Through these efforts we found that there was other reported individual record data that highly correlated with missing data and this information could be used to reliably impute the missing data.
How we imputed
We used a machine learning modeling technique called k-nearest neighbors (k-NN) classification that imputed the missing demographic data. The model was informed by the full individual record file of data elements known at program entry (i.e., minus the data elements on services provided and outcomes) and demographic data obtained from U.S. Census Bureau (i.e., American Community Survey) that was aligned to each individual participant’s home zip code.
Imputation model performance
Since the true demographic data of the missing fields is unknown, we developed a way to test the validity of the models by using data from participants whose demographic data is known. Essentially, a subset of participants with known demographic data had that data removed, the models imputed that data, and the results from the model were compared to the known truth. This was done for each program and demographic element (i.e., sex, ethnicity, and race) combination. There was a range of overall accuracy of each model combination from 83%-95%, with most being around 90%. Where there were misses in the imputation model, we aimed for a model that had more false-negatives than false-positives for the smaller demographic groups. In other words, most of the misses place people in the largest demographic groupings instead of the smaller demographic groups. We wanted to err on the side of putting people in the largest demographic groupings because 1) this would be their more likely statistical category anyway, and 2) because the minority group data would be more affected by small errors than the majority group data.
Demographic and Barrier Models
In the Services, Outcomes, and Relationship: Services & Outcomes sections we use demographic and barrier models to produce some of the estimates used in this analysis.
Why were these models used?
The goal of these models is to get a better estimate of the differences between different demographic groups. When looking at simple cross tabulations of demographic differences (i.e., the % different groups received training, the median earnings for different groups, etc.), there is no context regarding the composition of those groups. It is likely the groups have different characteristics on average such as age, levels of education, number, and types of barriers, etc. As a result, any difference that is observed may just be driven by these differences (e.g., the reason Hispanic Males may have higher employment outcomes in a program may be because that participant population had higher education levels and less barriers on average). By controlling for these other characteristics of participants we can compare between similar groups.
Model details
The models are regressions that estimate the effect that additional participant characteristics collected in the individual record files (e.g., the age group of the participant, highest education level, whether they have a disability, if they are a veteran, etc.) have on whether a participant receives a service or obtained an outcome. Models specified in this way were run for each program-service/outcome combination for each state and at the national level. As a result, over 2,000 models were created in the development of these dashboards.
The data used for these models is of different years from that which was used in the rest of the dashboards. These models were developed by using PY 2021 and PY 2022 data while the rest of the dashboards use only PY 2022 data. An extra PY of data was used for these models in order to get better estimates when particular service and/or outcome combinations had low numbers of observations for different demographic groups.
Other things to be aware of
When reviewing the model estimates, please keep in mind that:
- The resulting demographic estimates shown are for participants of that demographic group with the baseline participant characteristics. For example, in the adult models the estimates are for participants aged 25-44, who graduated high school, and who have no employment barriers.
- The cases where there is high variance in the estimates (i.e., the confidence intervals are large) are driven by small numbers of participants of that demographic group in that model (and likely that state).
- There are likely other external factors that influence whether a participant is likely to receive a service or obtain an outcome that are also correlated with the demographic groups. These models only control for those factors which are reported as part of a participant’s individual record file.