Equipping education, workforce and HR professionals to unlock access to better jobs

Ruthann Goodridge

Consortium for Worker Education
joined 5 months ago.

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Posted in Using Data to Determine Regional Talent Demand

1. Analyze Cost of Living by Borough

  • Use publicly available data (e.g., NYC Housing Authority, NYC Department of City Planning, MIT Living Wage Calculator, Numbeo) to measure housing, transportation, childcare, food, and healthcare costs.

  • This helps identify which industries/jobs provide wages that meet or fall below local living standards.
    2. Match Cost of Living to Wage Data

    • Compare the borough-specific cost of living with wage data from the NYC Labor Market Information System (LMIS) or the Bureau of Labor Statistics (BLS).

    • Identify sectors where wages do not align with the minimum income required to sustain residents (e.g., service jobs in Manhattan vs. the cost of rent).

  • 3. Assess Labor Market Supply & Demand

    • Pull job posting data (e.g., EMSI, Burning Glass, Indeed, LinkedIn insights).

    • Identify in-demand occupations by borough (e.g., healthcare in the Bronx, tech in Brooklyn, construction in Staten Island).

    • Track industries with high vacancy rates to see where talent pipelines are weak.

  • 4. Map Skills & Education Levels

    • Use American Community Survey (ACS) and NYC DOE/college reports to track education levels and workforce skills by borough.

    • Match resident qualifications with available jobs (e.g., do Queens residents with associate degrees align with manufacturing roles in Long Island City?).

  • 5. Identify Talent Gaps

    • Compare skills available (education, certifications, training programs) vs. skills in demand (employer job postings, occupational forecasts).

    • For example, if Brooklyn has many residents with IT certifications but Manhattan has most IT job postings, that indicates a need for talent mobility strategies.

  • 6. Incorporate Equity & Access Factors

    • Disaggregate by neighborhood demographics (race, ethnicity, immigrant status, age) to see where underutilized talent exists.

    • Overlay transit accessibility data (MTA maps, commute times) to see if geography restricts workers from accessing high-wage opportunities.

  • 7. Build Insights for Action

    • Training alignment: Recommend workforce development programs that upskill residents to meet high-demand roles.

    • Employer engagement: Show employers where untapped talent resides.

    • Policy advocacy: Use the cost-of-living vs. wage gap analysis to argue for wage increases, childcare subsidies, or transportation investment.