This chart defines the specific occupations that have been included in the workforce cluster (aggregate view) or occupational group in this report. A more detailed view of each occupation is available by clicking the linked occupation which will open MCC Career Coach providing career exploration and occupational details within a selected region. To find more information on the job titles and skill sets that are aligned to each occupation, click on the linked SOC (Standard Occupational Classification) which will open O*NET OnLine, a database of occupations developed under the sponsorship of the U.S. Department of Labor/Employment and Training Administration. View detailed Data Sources.
Advanced Manufacturing
Certified Industry 4.0 Advanced Manufacturing Technologies
The Industry 4.0 Manufacturing Technologies field applies the principles of basic and advanced manufacturing operations, robot system operations, and Industry 4.0 technologies and total productive maintenance methodologies to prepare individuals to succeed in operations and assembly, and troubleshooting, including Total Productive Maintenance (TPM) and optimization of equipment using Overall Equipment Effectiveness (OEE) and Operator Basic Care (OBC) in modern production environments that use Industry 4.0 automation technologies. This field is ideal for entry-level Operating or Maintenance Technicians, as well as experienced advanced manufacturing professionals seeking to upskill and prepare for Smart Manufacturing and Industry 4.0.
Certified Industry 4.0 Advanced Manufacturing Technologies – Finger Lakes, NY / Finger Lakes NY
Finger Lakes NY
The data below is based on the following 9 counties: Genesee, Livingston, Monroe, Ontario, Orleans, Seneca, Wayne, Wyoming, Yates.
Standard Occupational Classifications (SOC), occupations, wages and estimated demand.
| WAGES | |||||||
| SOC | Occupations | 10th Percentile |
50th Percentile |
90th Percentile |
Growth | Replacements | Openings |
| 17-3024.00 | Electro-Mechanical Technicians | 22.67 | 29.24 | 37.24 | 0 | 18 | 18 |
| 17-3026.00 | Industrial Engineering Technicians | 16.91 | 28.31 | 43.43 | 6 | 58 | 64 |
| 17-3027.00 | Mechanical Engineering Technologists and Technicians | 22.12 | 26.30 | 37.87 | 2 | 13 | 15 |
| 17-3028.00 | Calibration Technologists and Technicians | 15.77 | 28.18 | 42.05 | 0 | 3 | 3 |
| 49-2094.00 | Electrical and Electronics Repairers, Commercial and Industrial Equipment | 18.00 | 27.82 | 46.00 | 0 | 14 | 15 |
| 49-9041.00 | Industrial Machinery Mechanics | 18.31 | 28.40 | 36.12 | 28 | 121 | 149 |
| 49-9043.00 | Maintenance Workers, Machinery | 17.79 | 24.30 | 35.77 | 4 | 38 | 41 |
| 51-4035.00 | Milling and Planing Machine Setters, Operators, and Tenders, Metal and Plastic | 17.37 | 25.11 | 31.76 | 1 | 13 | 15 |
| 51-4041.00 | Machinists | 14.37 | 22.48 | 29.24 | 17 | 254 | 271 |
| 51-8000.00 | Plant and System Operators | 18.86 | 30.81 | 50.33 | 6 | 96 | 102 |
| 51-8090.00 | Miscellaneous Plant and System Operators | 14.27 | 28.91 | 46.02 | 2 | 21 | 23 |
| 51-8099.00 | Plant and System Operators, All Other | 13.99 | 16.26 | 23.31 | 1 | 6 | 7 |
| Averages & Total | $17.54 | $26.34 | $38.26 | 67 | 655 | 722 | |
Wages and demand based on the 9 county region: Genesee, Livingston, Monroe, Ontario, Orleans, Seneca, Wayne, Wyoming, Yates.
Q1 2023 EMSI Occupation data.
| SOC | Occupations | 2023 Estimated Annual Churn |
2023 Estimated Annual Attrition |
| 17-3024.00 | Electro-Mechanical Technicians | 55.34% | 59.57% |
| 17-3026.00 | Industrial Engineering Technicians | 38.43% | 41.73% |
| 17-3027.00 | Mechanical Engineering Technologists and Technicians | 48.32% | 51.73% |
| 17-3028.00 | Calibration Technologists and Technicians | 42.34% | 45.54% |
| 49-2094.00 | Electrical and Electronics Repairers, Commercial and Industrial Equipment | 41.98% | 48.55% |
| 49-9041.00 | Industrial Machinery Mechanics | 38.07% | 34.88% |
| 49-9043.00 | Maintenance Workers, Machinery | 47.67% | 47.39% |
| 51-4035.00 | Milling and Planing Machine Setters, Operators, and Tenders, Metal and Plastic | 48.66% | 57.08% |
| 51-4041.00 | Machinists | 39.11% | 39.30% |
| 51-8000.00 | Plant and System Operators | 37.83% | 36.57% |
| 51-8090.00 | Miscellaneous Plant and System Operators | 35.85% | 34.84% |
| 51-8099.00 | Plant and System Operators, All Other | 40.68% | 40.57% |
Estimated Annual Churn is the average of the separations and hires within an occupation divided by the total employment for that occupation. Estimated Annual Attrition is calculated by dividing the separations within an occupation by the total employment for the occupation.
Q1 2023 EMSI Occupation data.
Occupational group hourly wages.
About
This chart provides entry (10th percentile), median (50th percentile), and high (90th percentile) wage data for the workforce cluster in the region selected. View detailed data sources.
Hourly Wage
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Total Workforce Wages for Occupational Group (10th, 50th and 90th percentile)
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5-Year Median Wage MCC Graduates in Related Programs
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$25 Self-sufficiency standard for 2 adults + 1 preschooler (Monroe County, NY)
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$18 Self-sufficiency standard for 1 adult + 1 preschooler (Monroe County, NY)
Wage curve based on the 9 county region: Genesee, Livingston, Monroe, Ontario, Orleans, Seneca, Wayne, Wyoming, Yates.
Q1 2023 EMSI Occupation data.
Regional program completions vs. estimated annual openings.
This measurement aims to provide a regionally based supply and demand report, comparing the total estimated number of learners completing a relevant middle-skills training or education program within a region, against estimated industry demand for those middle-skills workers that have been included for purposes of this analysis in a specific occupational group or workforce cluster. Additional source information and detailed completion data are available in Data Sources.
About
The estimated deficit or surplus of workers in an occupational grouping or workforce cluster, as defined by the report, compares the number of individuals who completed a formal training or education program against the estimated demand for entry-level occupations relevant to a program’s workforce focus. View detailed Data Sources.
| Middle-Skill Education Provider | July 2019- June 2020 Completions | Estimated Annual Job Openings | Estimated Gap (Δ) |
| Monroe Community College | 0 | 722 | -722** |
| Total | 0* |
Data is estimated, not predictive.
Source: Includes associates degrees; awards of at least 1 but less than 2 academic years; awards of less than 1 academic year; and non-credit awards of 1 academic year or less from Integrated Postsecondary Education Data System (IPEDS).
Q1 2023 EMSI Occupation data.
2023 Total Workforce: 6,527 Certified Industry 4.0 Advanced Manufacturing Technologies – Finger Lakes, NY Workers.
10-year aging out projection: 35.3% are approaching retirement age.
Source: IPEDS and noncredit self-reported data from application education providers.
Q1 2023 EMSI Occupation data.
Student Metrics and Total Impact for MCC’s Certified Industry 4.0 Advanced Manufacturing Technologies – Finger Lakes, NY related programs.
About
This chart represents the increased wages collected by former students active in the Monroe County workforce as a direct result of their MCC education, the increased output of businesses that employ them, and the multiplier effects that occur. View data sources.
| Estimated Lifetime Earnings Increase per Student | $699,600 |
| Annual Economic Impact per Student | $2,200 |
| Total Student Impact in FY 2015-16 | $32,400 |
Student Return on Investment.
For every dollar students invest in their education in the Certified Industry 4.0 Advanced Manufacturing Technologies program at MCC, they will receive an estimated $13.20 back over the course of their working lives. This investment provides a 35.3% rate of return. This is a favorable return, especially when compared to the U.S. stock market 30-year average return of 10.1%.
Lifetime Earnings.
Average Annual Earnings
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Program Completer
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High School Graduate
Job postings summary.
About
This table provides the total number of unique job postings for the occupations that have been included within either the occupational group or workforce cluster for a given month. By comparing the number of unique online postings to total online postings, a measurement of posting intensity can be estimated. Posting intensity may be used to understand the amount of recruitment being done online for a single opportunity. View detailed Data Sources.
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Unique postings (Jan 2023) 373844 total postings |
Posting intensity (Jan 2023) 2.3 : 1Regional average: 2.0 : 1 |
There were 844 total job postings for the Certified Industry 4.0 Advanced Manufacturing Technologies – Finger Lakes, NY in January 2023, of which 373 were unique. These numbers give us a posting intensity of 2.3 : 1, meaning that for every 2.3 postings there is 1 unique job posting.
January 2023 EMSI Hires data.
Top skill clusters.
Based on online job postings February 6, 2022 – February 6, 2023.
About
This chart displays the skill clusters that were in greatest demand for the occupations within the workforce cluster or occupational group. An analysis of skill clusters derived from online job postings is useful for understanding if learning outcomes within a relevant education or training program relates to the skills most in demand in the labor market. View detailed Data Sources.
| Maintenance, Repair, and Installation: Equipment Repair and Maintenance |
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| Manufacturing and Production: Machine Tools |
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| Manufacturing and Production: Machinery |
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| Maintenance, Repair, and Installation: Hand Tools |
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| Information Technology: Microsoft Office and Productivity Tools |
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| Maintenance, Repair, and Installation: Schematic Diagrams |
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| Maintenance, Repair, and Installation: Electrical and Mechanical Labor |
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| Manufacturing and Production: Computer-Aided Manufacturing |
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| Human Resources: Occupational Health and Safety |
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| Supply Chain and Logistics: Material Handling |
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Data Source: Burning Glass Labor Insight/Jobs.
Top skills.
Based on online job postings February 6, 2022 – February 6, 2023.
About
This chart displays the skills that were in greatest demand for the occupations within the workforce cluster or occupational group. An analysis of skills derived from online job postings is useful for understanding if learning outcomes within a relevant education or training program relates to the skills most in demand in the labor market. View detailed Data Sources.
| Repair |
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| Troubleshooting |
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| Communication Skills |
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| Physical Abilities |
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| Preventive Maintenance |
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| Machining |
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| Problem Solving |
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| Computer Literacy |
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| Predictive / Preventative Maintenance |
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| Machinery |
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Data Source: Burning Glass Labor Insight/Jobs.
Top employers.
Based on online job postings February 6, 2022 – February 6, 2023.
| L3Harris |
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| Henkel |
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| State of New York |
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| American Red Cross |
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| Day & Zimmermann Incorporated |
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| Eastman Kodak |
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| Corning Incorporated |
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| Avangrid |
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| Altimeter Solutions |
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| BJ's Wholesale Club, Inc. |
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Data Source: Burning Glass Labor Insight/Jobs.
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