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EDORA Learn β€” Pipelines

Employment & Workforce Linkage (Post-Release Support)

Pipeline 10A

Transparency note: wage record matches (UI data) and employer surveys may be incomplete or lagged; small cohorts are pooled and series breaks are marked when data-sharing agreements or definitions change.

Overview

Employment linkage connects youth to work readiness training, subsidized jobs, apprenticeships, and supportive services (transportation, tools, uniforms) during supervision or after release. Coordination typically involves probation, reentry teams, workforce boards, and community providers. This page outlines observable referral pathways and standardized indicators for placements and retention.

What We Track

Eligibility & Referral

  • Eligibility criteria met (age, status at release, supervision level, interest/aptitude)
  • Consent on file (scope, duration, revocation steps) for data sharing with workforce partners
  • Referral β†’ first appointment elapsed time logged (target window set)

Readiness & Credentials

  • Work-readiness participation (resume, interviews, soft skills, workplace norms)
  • Micro-credentials: OSHA/food handler, CPR, forklift, ServSafe, etc.
  • Diploma/GED status verified; pathway identified if in progress

Placements

  • Placement type: unsubsidized / subsidized / internship / apprenticeship (pre- or registered)
  • Employer details recorded (industry, size, address) and hours/week at start

Retention & Earnings

  • 30/90/180-day status (still employed, employer change, promotion)
  • Hours/week and shift stability; verify via participant + employer check-ins
  • Wage record matches to UI data where permitted; coverage notes logged

Access & Equity

  • Placement & retention by race/ethnicity, gender, geography; industry mix by subgroup
  • Transportation supports (passes, gas/ride credits) and distance-to-work tracked

Typical Flow

  1. Identify eligible youth & secure consent
    • Confirm eligibility; record consent scope and expiration
  2. Refer to workforce partner & schedule intake
    • Assess work readiness; flag documentation needs (ID, SSN, bank setup)
  3. Prepare with training/credentials & barrier reduction
    • Deliver soft-skill workshops; complete OSHA/food handler; arrange transport/childcare as needed
  4. Place in job/internship/apprenticeship
    • Log start date, employer, hours, wage; confirm onboarding completion
  5. Follow up at 30/90/180 days for retention and earnings
    • Verify employment via participant/employer; match to UI where permissible; adjust supports
Schema source: employment-linkage

Fields

FieldTypeRequiredCodesetDescription
pipeline_place_iduuidβœ…β€”Unique identifier for this employment linkage episode.
pipeline_stage_idenumβœ…
stages.yml#stage_key(8)
  • intake
  • detention
  • adjudication
  • disposition
  • supervision
  • commitment_and_placement
  • reentry
  • closure
One of the canonical stages; defaulted here to reentry_aftercare.
pipeline_place_keyenumβœ…
pipeline_places.yml#place_key(45)
  • intake
  • pre_petition_diversion_and_deflection
  • diversion
  • youth_assessment_tools
  • prosecutorial_screening
  • status_offenses
  • adjudication
  • case_planning
  • family_engagement
  • case_timeliness
  • language_access
  • restorative_justice
  • detention_screening
  • community_atds
  • electronic_monitoring
  • court_appearance_and_fta
  • initial_hearing
  • pretrial_supervision
  • probation
  • intensive_supervision
  • …and 25 more
Canonical key for this place (maps to route/slug).
youth_idstringβœ…β€”Salted/hashed or state UID. No plaintext PII.
staff_idstringβ€”Probation/reentry staff coordinating employment supports.
occurred_datetimedatetimeβœ…β€”Anchor timestamp for this episode (e.g., referral creation or first appointment).
jurisdiction_codestringβœ…β€”County/parish/circuit or standardized local code.
legal_case_idstringβ€”Case/docket identifier if the episode is supervision-linked.
source_systemstringβœ…β€”Origin system name.
source_filestringβ€”Source batch/file id if flatfile.
extract_run_idstringβ€”ETL run id for lineage.
series_break_flagbooleanβ€”Comparability break applies to this row.
series_break_reasonenum
series_breaks.yml#reason(4)
  • definition_change
  • vendor_change
  • coverage_change
  • policy_change
Reason for break (policy/process/tool change).
eligibility_criteria_codesarray<string>
employment_eligibility_criteria.yml#criterion(7)
  • age_minimum
  • release_status
  • on_supervision
  • supervision_level_threshold
  • aptitude_interest
  • documentation_ready
  • other
Criteria met (age, release_status, supervision_level, aptitude/interest); semicolon-delimited.
consent_type_codesarray<string>
consent_types.yml#type⚠️ using consent_types.yml#Type(5)
  • medical
  • education
  • service_referral
  • information_sharing
  • other
Types of consent on file for data sharing with workforce partners; semicolon-delimited.
consent_status_codeenum
consent_statuses.yml#status⚠️ using consent_statuses.yml#Status(4)
  • signed
  • pending
  • refused
  • expired
signed, pending, refused, expired.
consent_signed_datedateβ€”Date consent signed.
consent_expiration_datedateβ€”Consent expiration date (if scoped/limited).
referral_created_datetimedatetimeβ€”Timestamp referral to workforce partner was created.
first_appointment_datetimedatetimeβ€”First scheduled/kept appointment at workforce partner.
elapsed_minutes_referral_to_first_apptintegerβ€”Structural store of minutes from referral_created_datetime to first_appointment_datetime.
referring_provider_idstringβ€”Referring agency/provider identifier.
workforce_provider_idstringβ€”Workforce board, WIOA provider, or CBO receiving the referral.
readiness_activity_codesarray<string>
work_readiness_activities.yml#activity(7)
  • resume_building
  • interview_skills
  • soft_skills
  • workplace_norms
  • documentation_setup
  • bank_setup
  • other
Resume, interview skills, soft-skills, workplace norms modules; semicolon-delimited.
microcredential_type_codesarray<string>
microcredential_types.yml#type(10)
  • osha10
  • osha30
  • food_handler
  • servsafe
  • cpr
  • forklift
  • first_aid
  • customer_service
  • it_fundamentals
  • other
OSHA10/30, food_handler, CPR, forklift, ServSafe, etc.; semicolon-delimited.
diploma_ged_status_codeenum
diploma_ged_statuses.yml#status(4)
  • diploma
  • ged_hiset
  • in_progress
  • none
diploma, ged_hiset, in_progress, none.
placement_type_codeenum
employment_placement_types.yml#type(5)
  • unsubsidized
  • subsidized
  • internship
  • pre_apprenticeship
  • registered_apprenticeship
unsubsidized, subsidized, internship, pre_apprenticeship, registered_apprenticeship.
employer_provider_idstringβ€”Employer identifier (ID only).
employer_industry_codeenum
employer_industries.yml#industry(11)
  • construction
  • health_care
  • information_technology
  • manufacturing
  • retail
  • hospitality
  • food_service
  • logistics
  • public_sector
  • agriculture
  • other
Industry classification (coarse bands).
employer_size_band_codeenum
employer_size_bands.yml#band(5)
  • micro_1_9
  • small_10_49
  • medium_50_249
  • large_250_plus
  • unknown
Size band for employer.
job_start_datedateβ€”First day worked.
scheduled_hours_per_weekintegerβ€”Scheduled weekly hours at start.
shift_stability_codeenum
shift_stability_levels.yml#level(4)
  • stable
  • variable
  • on_call
  • unknown
stable, variable, on_call.
hourly_wage_amountnumberβ€”Hourly wage at start (currency not stored here).
support_service_type_codesarray<string>
support_services.yml#type(7)
  • transportation
  • mentoring
  • employment
  • tutoring
  • counseling
  • family_support
  • other
Transportation passes, gas/ride credits, tools/PPE, stipends, tutoring/mentoring; semicolon-delimited.
support_service_start_datedateβ€”First date supports were provided.
retention_status_30d_codeenum
retention_statuses.yml#status(4)
  • still_employed
  • employer_change
  • unemployed
  • unknown
still_employed, employer_change, unemployed, unknown.
retention_status_90d_codeenum
retention_statuses.yml#status(4)
  • still_employed
  • employer_change
  • unemployed
  • unknown
retention_status_180d_codeenum
retention_statuses.yml#status(4)
  • still_employed
  • employer_change
  • unemployed
  • unknown
hours_per_week_30dintegerβ€”Reported weekly hours at ~30 days.
hours_per_week_90dintegerβ€”Reported weekly hours at ~90 days.
hours_per_week_180dintegerβ€”Reported weekly hours at ~180 days.
wage_verification_basis_codesarray<string>
wage_verification_bases.yml#basis(3)
  • participant_self_report
  • employer_check_in
  • ui_match
Participant report, employer check-in, UI match; semicolon-delimited.
ui_coverage_status_codeenum
employment_coverage_statuses.yml#status(4)
  • full
  • partial
  • none
  • unknown
Coverage status for UI wage data in this period.
mentor_provider_idstringβ€”Mentoring provider (if distinct from workforce provider).
mentor_staff_idstringβ€”Coach/credible messenger (ID only).
mentoring_start_datedateβ€”Mentoring/coaching start date.
meeting_cadence_interval_codeenum
review_intervals.yml#interval(3)
  • review_7d
  • review_14d
  • review_30d
Planned cadence (weekly/biweekly/monthly).
mentoring_engagement_30d_codeenum
engagement_statuses.yml#status(4)
  • active
  • sporadic
  • disengaged
  • unknown
Engagement snapshot at ~30 days (active, sporadic, disengaged).
mentoring_engagement_90d_codeenum
engagement_statuses.yml#status(4)
  • active
  • sporadic
  • disengaged
  • unknown
mentoring_engagement_180d_codeenum
engagement_statuses.yml#status(4)
  • active
  • sporadic
  • disengaged
  • unknown
Download CSVwhat_we_track.csv

Data & Methods

Denominators are referral- or placement-based depending on the indicator. Time-to-placement measures days from referral to start date. Retention is measured at fixed windows (30/90/180 days) using contact verification and, where authorized, UI wage records. When workforce partners change reporting systems or definitions (e.g., counting gig work), we mark series breaks. Confidentiality and linkage follow Data Privacy & Disclosure Control and Data Linkage & Integration. Small-n rules and trend cautions follow Suppression & Small-n and Trend Interpretation & Baseline Selection.

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