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53 | ## Top 15 Occupations by DPL Professional Licensing
A majority of the top occupations by number of associated Division of Professional Licensure licenses are 4- or 5-star occupations.
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Not inclusive of occupations licensed by agencies other than the Division of Professional Licensure. Licenses must have been issued between 2000 and 2019, and not be expired as of 2019. See Appendix for additional detail. | 2019 State Data Package |
54 | ## Occupation Demand and DPL Professional Licensing
Comparing the number of license holders with total occupational employment offers another indicator of skill shortages or surpluses in occupational labor markets. While the number of professional licenses greatly exceeds total employment for some occupations, such as Real Estate Sales Persons, for others, such as Physical Therapists, the number of jobs (9,429) outstrips the supply of licenses (4,482).
Source: Division of Professional Licensure, 2000-2019; Bureau of Labor Statistics, Occupational Employment Statistics, 2020 Projections
| DPL Board / License Type | STARS | Licenses | 2018 Employment |
|------------------------------|---------|------------|-------------------|
| Allied Health | 5 | 5,028 | 7,556 |
| Mental Health Counselor | 5 | 5,028 | 5,536 |
| Occupational Therapist | 5 | 3,020 | 5,536 |
| Educational Psychologist | 4 | 2,614 | 5,305 |
| Applied Behavior Analyst | 4 | 2,138 | 4,443 |
| Physical Therapist | 5 | 4,482 | 9,429 |
| Electricians | | | |
| Electrician | 5 | 12,781 | 18,249 |
| Engineers And Land Surveyors | | | |
| Engineer | 4 | 8,300 | 48,881 |
| Gas Fitters | | | |
| Gas Fitter | 4 | 12,117 | 15,004 |
| Public Accountancy | | | |
| Certified Public Accountant | 5 | 9,542 | 38,572 |
| Real Estate | | | |
| Real Estate Salesperson | 4 | 36,172 | 6,059 |
| Social Workers | | | |
| Social Worker, Licensed | 4 | 13,948 | 24,165 |
| Speech And Audiology | | | |
| Speech Pathologist | 5 | 4,035 | 4,462 |
| | | | |
Selected occupations ranked 4+ stars only. Not inclusive of occupations licensed by agencies other than the Division of Professional Licensure. Licenses must have been issued between 2000 and 2019, and not be expired as of 2019. See Appendix for additional detail. | 2019 State Data Package |
55 | ## Part IV: New Data Tools | 2019 State Data Package |
56 | ## Dynamic Data Tools
As an extension of the data package update, a set of new dynamic data tools have been developed to support regional planning work.
These tools are intended to act as a resource for your teams to compare data across regions and generate insights beyond the analysis in this data package, with respect to five different areas:
- 1. Licensure
- 2. Apprenticeships
- 3. Regional Sector Makeup
- 4. Educational Attainment and Employment
- 5. Worker Characteristics | 2019 State Data Package |
57 | ## Education Program Supply
<!-- image -->
Online Tool: http://massconnecting.org/pathwaymapping/default.asp#mapping | 2019 State Data Package |
58 | ## Discussion Questions
- · How does this data inform your ongoing work to support regional priority industry and occupations?
- · How can you act on this data to accelerate your blueprint priorities?
- · This year, we're asking regional teams to develop an "update" to their blueprints. With this data in mind, what might be important to include in your update? | 2019 State Data Package |
59 | ## Appendix: Regional Context | 2019 State Data Package |
60 | ## Unemployment Rate
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61 | ## Unemployed v. Employed in Labor Force
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62 | ## Median Annual Wage
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63 | ## Educational Requirements for Employment
Massachusetts is projected to have the same shares of jobs that require a BA+, AS, Cert. or Some College, and HS or Below in 2026 as in 2016.
<!-- image -->
<!-- image --> | 2019 State Data Package |
64 | ## Appendix: Worker Characteristics | 2019 State Data Package |
65 | ## Priority Industries by Age
<!-- image --> | 2019 State Data Package |
66 | ## Priority Industries by Gender
<!-- image --> | 2019 State Data Package |
67 | ## Priority Industries by Educational Attainment
<!-- image --> | 2019 State Data Package |
68 | ## Priority Industries by Race
<!-- image --> | 2019 State Data Package |
69 | ## Priority and Critical Industries by Ethnicity
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70 | ## Appendix: Priority Industry Profiles | 2019 State Data Package |
71 | ## Healthcare and Social Assistance | 2019 State Data Package |
72 | ## Healthcare and Social Assistance by Gender
There are far more women than men working in Healthcare and Social Assistance, overall. This reflects the mix of occupations in the sector.
| % of Industry Employment | % of Industry Employment | % of Industry Employment | |
|----------------------------|----------------------------|----------------------------|----|
| 148,329 | 490,056 | 20% | |
| 10% | 50% | 30% | |
| 0% | 10% | 20% | |
| % of Industry Employment | % of Industry Employment | % of Industry Employment | |
|----------------------------|----------------------------|----------------------------|----|
| +5,000 | +4% | +5% | |
| +25,000 | +20,000 | +25% | |
| +15,000 | +10,000 | +15% | |
| +5,000 | +5,000 | +5% | |
| +4% | +4% | +4% | |
| Male | Female | Male | | | 2019 State Data Package |
73 | ## Healthcare and Social Assistance by Race/Ethnicity
While most workers in the Healthcare and Social Assistance sector are white, since 2015, growth in employment has been increasing for Black or African American, Asian, and Hispanic or Latino populations.
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Source: US Census Longitudinal Employer-Household Dynamics: Quarterly Workforce Indicators, Q2 2018
Source: US Census Longitudinal Employer-Household Dynamics: Quarterly Workforce Indicators, Q2 2015 - Q2 2018
<!-- image --> | 2019 State Data Package |
74 | ## Manufacturing | 2019 State Data Package |
75 | ## Manufacturing by Gender
Manufacturing workers in Massachusetts are still predominantly male, although the share of female workers has increased since 2015.
| Category | Value | |
|--------------------------|---------|----|
| Female | -3% | |
| Male | -3% | |
| Change in # of Employees | -3% | | | 2019 State Data Package |
76 | ## Manufacturing by Race/Ethnicity
More than 80% of Manufacturing workers in Massachusetts are white. However, the share of Manufacturing workers who identify as Black or African American, Asian, or Hispanic or Latino has increased since 2015.
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Source: US Census Longitudinal Employer-Household Dynamics: Quarterly Workforce Indicators, Q2 2018
| Chart Type | Description | |
|------------------|--------------------------------------------|----|
| vbar_categorical | A vertical bar chart with categorical data | | | 2019 State Data Package |
77 | ## Professional and Technical Services | 2019 State Data Package |
78 | ## Professional and Technical Services by Gender
Employment in the Professional and Technical Services sector is fairly evenly split between male and female workers.
| Category | Value | |
|-----------------------------------------------------|---------|----|
| Female | 100% | |
| Male | 90% | |
| Change in of Industry Employment, Q2 2018 | 143,636 | |
| Change in of Industry Employment, Q2 2015 - Q2 2018 | 16,500 | |
| Change in of Industry Employment, Q2 2015 - Q2 2018 | 15,500 | |
| Change in of Industry Employment, Q2 2015 - Q2 2018 | 14,500 | |
| Change in of Industry Employment, Q2 2015 - Q2 2018 | 11% | | | 2019 State Data Package |
79 | ## Professional and Technical Services by Race/Ethnicity
More than 80% of workers in the Professional and Technical Services sector in Massachusetts are white, although Asian workers make up the fastest-growing segment of the industry workforce.
<!-- image -->
Source: US Census Longitudinal Employer-Household Dynamics: Quarterly Workforce Indicators, Q2 2018
Source: US Census Longitudinal Employer-Household Dynamics: Quarterly Workforce Indicators, Q2 2015 - Q2 2018
<!-- image --> | 2019 State Data Package |
80 | ## Construction | 2019 State Data Package |
81 | ## Construction by Gender
More than 80% of Construction workers in Massachusetts are male.
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Source: US Census Longitudinal Employer-Household Dynamics: Quarterly Workforce Indicators, Q2 2018
Source: US Census Longitudinal Employer-Household Dynamics: Quarterly Workforce Indicators, Q2 2015 - Q2 2018 | 2019 State Data Package |
82 | ## Construction by Race/Ethnicity
More than 90% of Construction workers in Massachusetts are white.
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Source: US Census Longitudinal Employer-Household Dynamics: Quarterly Workforce Indicators, Q2 2018
## Percent and Absolute Change in Industry Employment, Q2 2015 - Q2 2018
<!-- image -->
Source: US Census Longitudinal Employer-Household Dynamics: Quarterly Workforce Indicators, Q2 2015 - Q2 2018 | 2019 State Data Package |
83 | ## Appendix: Professional Licensing | 2019 State Data Package |
84 | ## Occupation Demand and DPL Licensing: Deep Dive
| DPL Board/License Type | STARS | Licenses | 2018 Employment | Closer Look: DPL Licenses Matched to Multiple SOC Occupations |
|------------------------------|---------|------------|-------------------|----------------------------------------------------------------------------------|
| Allied Health | 5 | 5,028 | 7,556 | DPL Board / License Type / Occupation Title STARS Licenses 2018 Employment |
| Mental Health Counselor | 5 | 3,020 | 5,536 | Engineers and Land Surveyors |
| Occupational Therapist | 4 | 2,614 | 5,305 | ENGINEER |
| Educational Psychologist | 4 | 2,138 | 4,443 | Industrial Engineers |
| Applied Behavior Analyst | 4 | 2,138 | 4,443 | Mechanical Engineers |
| Physical Therapist | 5 | 4,482 | 9,429 | Electrical Engineers |
| Electricians | 5 | 12,781 | 18,249 | Civil Engineers |
| Electrician | 5 | 12,781 | 48,881 | Electronics Engineers, Except Computer |
| Engineers And Land Surveyors | 4 | 8,300 | 48,881 | Environmental Engineers |
| Gas Fitters | 4 | 12,117 | 15,004 | Biomedical Engineers |
| Gas Filter | 4 | 12,117 | 2,782 | Computer Hardware Engineers |
| Public Accountancy | 5 | 9,542 | 38,572 | Chemical Engineers |
| Certified Public Accountant | 5 | 9,542 | 38,572 | Social Workers |
| Real Estate | 4 | 36,172 | 6,059 | SOCIAL WORKER, LICENSED 4 13,948 24,165 |
| Social Workers | 4 | 13,948 | 24,165 | Child, Family, and School Social Workers |
| Social Worker, Licensed* | 4 | 13,948 | 4,462 | Healthcare Social Workers |
| Speech And Audiology | 5 | 4,035 | 4,462 | Source: Division of Professional Licensure, 2000-2019; |
| Speech Pathologist | 5 | 4,035 | 4,462 | Bureau of Labor Statistics, Occupational Employment Statistics, 2020 Projections |
| Veterinarian | 4 | 1,503 | 1,746 | |
*Matched to multiple SOC occupations. All license-occupation matches available in data tool.
Source: Division of Professional Licensure, 2000-2019; Bureau of Labor Statistics, Occupational Employment Statistics, 2020 Projections
Occupations ranked 4+ stars only. Not inclusive of occupations licensed by agencies other than the Division of Professional Licensure. Licenses must have been issued between 2000 and 2019, and not be expired as of 2019. | 2019 State Data Package |
85 | ## Glossary | 2019 State Data Package |
86 | ## Standard Occupational Classification (SOC)
The 2018 Standard Occupational Classification (SOC) system is used by federal statistical agencies to classify workers and jobs into occupational categories for the purpose of collecting, calculating, analyzing, or disseminating data.
To facilitate classification and presentation of data, the SOC is organized into a tiered system with four levels: major group, minor group, broad occupation, and detailed occupation. The 23 major groups (below) are broken into minor groups, which, in turn, are divided into broad occupations. At the highest level of specification, there are 867 detailed occupations with unique SOC codes.
| Code | Title | Code | Title |
|---------|------------------------------------------------------------|---------|-----------------------------------------------------------|
| 11-0000 | Management Occupations | 35-0000 | Food Preparation and Serving Related Occupations |
| 13-0000 | Business and Financial Operations Occupations | 37-0000 | Building and Grounds Cleaning and Maintenance Occupations |
| 15-0000 | Computer and Mathematical Occupations | 39-0000 | Personal Care and Service Occupations |
| 17-0000 | Architecture and Engineering Occupations | 41-0000 | Sales and Related Occupations |
| 19-0000 | Life, Physical, and Social Science Occupations | 43-0000 | Office and Administrative Support Occupations |
| 21-0000 | Community and Social Service Occupations | 45-0000 | Farming, Fishing, and Forestry Occupations |
| 23-0000 | Legal Occupations | 47-0000 | Construction and Extraction Occupations |
| 25-0000 | Educational Instruction and Library Occupations | 49-0000 | Installation, Maintenance, and Repair Occupations |
| 27-0000 | Arts, Design, Entertainment, Sports, and Media Occupations | 51-0000 | Production Occupations |
| 29-0000 | Healthcare Practitioners and Technical Occupations | 53-0000 | Transportation and Material Moving Occupations |
| 31-0000 | Healthcare Support Occupations | 55-0000 | Military Specific Occupations |
| 33-0000 | Protective Service Occupations | | |
A complete description of SOC codes, titles and definitions can be found at www.bls.gov/soc/ | 2019 State Data Package |
87 | ## Standard Occupational Classification (SOC)
Each item in the 2018 SOC is designated by a six-digit code.
- · Major group codes end with 0000 (e.g., 29-0000 Healthcare Practitioners and Technical Occupations).
- · Minor groups generally end with 000 (e.g., 29-1000 Health Diagnosing or Treating Practitioners)-the exceptions are minor groups 15-1200 Computer Occupations, 31-1100 Home Health and Personal Care Aides; and Nursing Assistants, Orderlies, and Psychiatric Aides, and 51-5100 Printing Workers, which end with 00.
- · Broad occupations end with 0 (e.g., 29-1020 Dentists).
- · Detailed occupations end with a number other than 0 (e.g., 29-1022 Oral and Maxillofacial Surgeons).
<!-- image --> | 2019 State Data Package |
88 | ## North American Industry Classification System (NAICS)
The 2017 North American Industry Classification System (NAICS) is an industry classification system that groups establishments into industries based on the similarity of their production processes. It is a comprehensive system covering all economic activities. There are 20 sectors and 1,057 industries in 2017 NAICS United States.
NAICS uses a six-digit coding system to identify particular industries and their placement in this hierarchical structure of the classification system. The first two digits of the code designate the sector, the third digit designates the subsector, the fourth digit designates the industry group, the fifth digit designates the NAICS industry, and the sixth digit designates the national industry.
The NAICS sectors and their two-digit codes are:
| Code | Industry | Code | Industry |
|--------|----------------------------------------------|--------|--------------------------------------------------------------------------|
| 11 | Agriculture, Forestry, Fishing and Hunting | 53 | Real Estate and Rental and Leasing |
| 21 | Mining, Quarying, and Oil and Gas Extraction | 54 | Professional, Scientific, and Technical Services |
| 22 | Utilities | 55 | Management of Companies and Enterprises |
| 23 | Construction | 56 | Administrative and Support and Waste Management and Remediation Services |
| 31-33 | Manufacturing | 61 | Educational Services |
| 42 | Wholesale Trade | 62 | Health Care and Social Assistance |
| 44-45 | Retail Trade | 71 | Arts, Entertainment, and Recreation |
| 48-49 | Transportation and Warehousing | 72 | Accommodation and Food Services |
| 51 | Information | 81 | Other Services (except Public Administration) |
| 52 | Finance and Insurance | 92 | Public Administration |
A complete description of NAICS codes, industries and definitions can be found at https://www.census.gov/eos/www/naics/ | 2019 State Data Package |
1 | <!-- image -->
## Cape & Islands 2019 Data Package Update
Regional Workforce Skills Planning Initiative | 2019 Cape Data Package |
2 | ## Objectives
- · Update contextual regional labor market information
- · Narrow scope of data/discussion to focus on regional priority/critical industries
- · Confirm regional high priority industries and occupations through updated demand star rankings and skill gap analysis
- · Evaluate any new demographic, labor pool, and talent pipeline considerations impacting workforce skill gaps
- · Introduce new dynamic data tools | 2019 Cape Data Package |
3 | ## Table of Contents
## Part I. Regional Industry Overview and Profiles
- A: Sector Makeup by Employment and Wages
- B: Priority Industry Profiles
- i. Groups and Employers
- ii. Employment by Educational Attainment
- iii. Occupations
## Part II: Supply Gap Analysis
- i. Regional Sub-BA Occupations
- ii. State BA+ Occupations
## Part III: Workforce Supply Analysis
- A: Apprenticeships
- B: Professional Licensing
## Part IV: New Data Tools
## Appendix
- A: Regional Context
- B: Worker Characteristics
- C: Priority Industry Profiles
- D: Critical Industry Profiles
- E: Professional Licensing
## Glossary | 2019 Cape Data Package |
4 | ## Part I: Regional Industry Overview and Profiles
Who are the employers in our region? | 2019 Cape Data Package |
5 | ## Terminology
| Industry Sector | Sectors that represent general categories of economic activities, 2 digit NAICS |
|-------------------|---------------------------------------------------------------------------------------------------------------------|
| Industry Group | More detailed production-oriented combinations of establishments with similar customers and services, 4 digit NAICS | | 2019 Cape Data Package |
6 | ## I.A: Regional Industry Overview | 2019 Cape Data Package |
7 | ## Sector Makeup by Total Employment
Accommodation and Food Service is the largest industry in the Cape & Islands, followed by Retail and Healthcare and Social Assistance.
| Category | Value | |
|-----------------|---------|----|
| Accommodation | 20 K | |
| Retail Trade | 20 K | |
| Health Care | 19 K | |
| Construction | 19 K | |
| Education | 7 K | |
| Arts | 7 K | |
| Public | 7 K | |
| Professional | 7 K | |
| Transportation | 7 K | |
| Manufacturing | 7 K | |
| Finance and | 7 K | |
| Real Estate | 7 K | |
| Information | 7 K | |
| Wholesale Trade | 7 K | |
| Agriculture | 7 K | |
| Utilities | 7 K | |
| Management | 7 K | |
| Mining | 7 K | | | 2019 Cape Data Package |
8 | ## Sector Makeup by Total Wages
In the Cape & Islands, Healthcare and Social Assistance pays the most in wages, followed closely by Accommodation and Food Service. | 2019 Cape Data Package |
9 | ## I.B: Priority Industry Profiles | 2019 Cape Data Package |
10 | ## Healthcare and Social Assistance | 2019 Cape Data Package |
11 | ## Healthcare and Social Assistance Groups and Employers
The number of Healthcare and Social Assistance establishments in the Cape & Islands has grown since 2016 by more than 20, with much of this growth from the Individual and Family Services subsector (which includes home and community based care organizations). Cape Cod Healthcare had the largest number of job postings over the past year with 960 postings.
<!-- image --> | 2019 Cape Data Package |
12 | ## Healthcare and Social Assistance by Education
Workers in Healthcare and Social Assistance are almost evenly distributed between those who have a Bachelor's degree or higher, Some College or Associate degree, or High School equivalent or less. | 2019 Cape Data Package |
13 | ## Hospitality | 2019 Cape Data Package |
14 | ## Hospitality Groups and Employers
The number of Hospitality establishments in the Cape & Islands grew by 4 since 2016. Chatham Bars Inn had the greatest number of job postings over the past year (89), followed by Chipotle Mexican Grill (69) and Reinhart Foodservice (68).
<!-- image --> | 2019 Cape Data Package |
15 | ## Hospitality by Education
More than 40% of workers in the Hospitality industry have some college or higher level of education. 34% of this industry's workers in the Cape & Islands have a High school equivalent or less.
Industry Employment by Educational Attainment, Q2 2015 - Q2 2018
| | 12,494 | -3,3% | 13,195 |
|-----|------------|---------|-------------|
| 80% | 24%, 3,001 | +12.3% | 22% , 2,902 |
| 70% | 16%, 2,042 | +17% | 17%, 2,294 |
| 60% | 24%, 2,961 | +7.1% | 24%, 3,171 |
| 50% | 24%, 2,963 | +5.8% | 24%, 3,135 |
| 40% | 24%, 2,963 | +10.9% | 20% |
| 10% | 12%, 1,527 | +10.9% | 13% , 1,693 |
| 0% | 2015 | 2018 | |
| | | | | | 2019 Cape Data Package |
16 | ## Construction | 2019 Cape Data Package |
17 | ## Construction Groups and Employers
The number of Construction establishments on the Cape & Islands has grown since 2016 by more than 130. Employers like W Vernon Whitely Plumbing and Heating and Roto Rooter posted less than 10 jobs over the past year. It is worth noting that many construction jobs are not posted publicly, instead finding talent through unions and apprenticeship programs.
<!-- image --> | 2019 Cape Data Package |
18 | ## Construction by Education
Construction employment in the Cape & Islands has increased since 2015. The shares of workers by educational attainment has stayed the same, with more than 50% having some college or higher and more than 40% having a High school equivalent or less.
| | 7,342 | 7,342 | 8,573 | 8,573 | |
|----|------------|------------|------------|------------|------------|
| | 8% , 563 | 8% , 563 | 8% , 704 | 8% , 704 | |
| | 21%, 1,538 | 21%, 1,538 | 21%, 1,831 | 21%, 1,831 | |
| | 70% | 70% | +16.3% | +16.3% | |
| | 29%, 2,128 | 29%, 2,128 | 29%, 2,474 | 29%, 2,474 | |
| | 0% | 40% | +12.2% | +12.2% | |
| | 30% | 31%, 2,250 | 31%, 2,250 | 29%, 2,525 | 29%, 2,525 |
| | 10% | 12%, 863 | 12%, 863 | 12%, 1,039 | 12%, 1,039 |
| | 0% | 2015 | 2015 | 2018 | 2018 | | 2019 Cape Data Package |
19 | ## Occupations | 2019 Cape Data Package |
20 | ## Terminology
| Occupation | A job or profession, not specific to an industry, defined by Standard Occupational Classification (SOC) code |
|---------------------|--------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------|
| Demand Star Ranking | Ranking of highest-demand, highest-wage jobs in Massachusetts, based on short-term employment projections (2020), long-term employment projections (2026), 12-month job postings from Burning Glass, and median regional occupation wages. | | 2019 Cape Data Package |
21 | ## Selected Sub-BA Occupations Associated with Priority Industries
| Industry | SOC Code | Occupation Title | Educational Requirement | 2018 Industry Employment | STAR | Median Annual Wage |
|------------------------|------------|----------------------------------------------------|--------------------------------|-----------------------------|--------|----------------------|
| Hospitality | 43-3031 | Bookkeeping, Accounting, and Auditing Clerks | Some college, no degree | 1,590 | 4 | $47,243 |
| | 49-9021 | HVAC Mechanics and Installers | Postsecondary non-degree award | 4,220 | 4 | $60,475 |
| Construction | 53-3032 | Heavy and Tractor-Trailer Truck Drivers | Postsecondary non-degree award | 2,820 | 4 | $56,606 |
| | 43-3031 | Bookkeeping, Accounting, and Auditing Clerks | Some college, no degree | 3,910 | 4 | $47,243 |
| | 15-1151 | Computer User Support Specialists | Some college, no degree | 130 | 4 | $60,120 |
| | 29-2021 | Dental Hygienists | Associate's degree | 5,360 | 4 | $80,759 |
| | 31-2021 | Physical Therapist Assistants | Associate's degree | 2,510 | 4 | $65,825 |
| | 29-2032 | Diagnostic Medical Sonographers | Associate's degree | 2,030 | 5 | $84,630 |
| | 29-2061 | Licensed Practical and Licensed Vocational Nurses | Postsecondary non-degree award | 14,000 | 4 | $52,061 |
| Health Care and Social | 31-9092 | Medical Assistants | Postsecondary non-degree award | 13,300 | 4 | $43,032 |
| Assistance | 29-2071 | Medical Records and Health Information Technicians | Postsecondary non-degree award | 4,220 | 4 | $46,202 |
| | 49-9021 | HVAC Mechanics and Installers | Postsecondary non-degree award | 210 | 4 | $60,475 |
| | 49-3023 | Automotive Service Technicians and Mechanics | Postsecondary non-degree award | 60 | 4 | $46,945 |
| | 43-3031 | Bookkeeping, Accounting, and Auditing Clerks | Some college, no degree | 4,110 | 4 | $47,243 |
| | 15-1151 | Computer User Support Specialists | Some college, no degree | 820 | 4 | $60,120 |
All occupations listed are 4- and 5-star occupations requiring a postsecondary non-degree award, some college, or an Associate's degree. Bolded occupations occur across multiple industries. | 2019 Cape Data Package |
22 | ## Part II: Supply Gap Analysis
Which occupations are likely to not have enough talent to meet employer demand? | 2019 Cape Data Package |
23 | ## How do we calculate a supply gap ratio?
Supply Gap Ratio = Projected Qualified Individuals Per Opening
- · Supply Gap Ratio is a proxy measure for understanding what occupations are likely to not have enough talent to meet employer demand.
- · Supply / Demand = Supply Gap Ratio
- · 100 qualified individuals / 50 potential openings = supply gap ratio of 2
- · 2 qualified individuals per opening (More supply than demand)
- · 6 qualified individuals / 12 potential openings = supply gap ratio of 0.5
- · 0.5 qualified individuals per opening (Less supply than demand) | 2019 Cape Data Package |
24 | ## How do we calculate demand and supply?
## Demand
## Supply
How many potential job openings do we expect for a given occupation?
New Demand Measure, or the average of total number of jobs for each occupation across three data sets…
- · 2020 projections from openings and replacement (OES)
- · 2026 projections from openings and replacement (OES)
- · New data source: Burning Glass 12-month job postings (2019)
NOTE TO DATA USERS: Beginning with this data package, Burning Glass is used to measure advertised online postings, replacing Help Wanted Online as the third component of indexed demand.
Note that this substitution may be responsible for some of the variance between indexed demand as calculated in the original and updated data packages. Direct value comparisons of the occupational demand measures, STAR rankings, and supply gap ratios should be limited.
How many qualified individuals do we potentially have available to fill a relevant job opening?
Sum of available workers or graduates related to an occupation from multiple data sets…
- · Unique UI claims, 2018 (DUA)
- · Relevant completer data
- · Voc-Tech completers, 2015-2017 average (DESE), 50% available*
- · Community College completers, 2015-2017 average (DHE), 90% available
- · State University completers, 2015-2017 average (DHE), 71% available
- · Private University completers, 2015-2017 average (iPEDS), 55% available
*All retention figures are statewide, studies cited in Data Tool **Occupations requiring post-secondary education only | 2019 Cape Data Package |
25 | ## More Openings than Qualified: Regional Sub-BA Occupations, 3+ Stars
At the sub-BA level, a number of occupations rated 3+ stars do not have enough regional supply to meet employer demand.
<!-- image -->
3+ star occupations requiring a postsecondary non-degree award, some college, or an Associate's degree. Demand Index 10+ only. | 2019 Cape Data Package |
26 | ## State Supply Gap Overview: BA+ Clusters
The Computer and Mathematical, Architecture and Engineering, and Legal occupation clusters average the lowest ratios of qualified individuals per opening at the BA+ level.
<!-- image -->
Occupations requiring a Bachelor's degree or higher, grouped by 2-digit SOC code. Occupation demand Index 100+. (Star rankings not available at the 2-digit SOC level.) | 2019 Cape Data Package |
27 | ## More Openings than Qualified: State BA+ Occupations
At the BA+ level, there are a number of 4- and 5-star occupations for which demand exceeds the supply of qualified individuals statewide.
<!-- image -->
- 4- and 5-star occupations requiring a Bachelor's degree or higher. Demand Index 100+ only.
Occupations new to the graph may have previously had a supply gap ratio> 1, a star ranking | 2019 Cape Data Package |
28 | ## Part III: Workforce Supply Analysis
How many qualified individuals do we potentially have available to fill a relevant job opening? | 2019 Cape Data Package |
29 | ## III. A: Apprenticeships | 2019 Cape Data Package |
30 | ## Top 15 State Occupations by Apprenticeships
Electricians, Carpenters, and Plumbers, Pipefitters, and Steamfitters make up more than half of all apprenticeships statewide. All three of these occupations are ranked 4- or 5-stars, as are several other occupations with a large number of apprentices.
<!-- image --> | 2019 Cape Data Package |
31 | ## How do we calculate demand and supply?
## Demand
How many potential jobs exist for apprentices in a given occupation in our region?
New Demand Measure, or the average of total number of jobs for each occupation across three data sets…
- · 2020 projections from openings and replacement (OES)
- · 2026 projections from openings and replacement (OES)
- · New data source: Burning Glass 12-month job postings (2019)
How many apprentices are qualified to work in these occupations?
Total currently enrolled apprentices…
- · Division of Apprentice Standards, 2019
…minus the fraction of total occupation employment assumed to be made up of apprentices
- · Bureau of Labor Statistics short-term projections (OES) - 2018 employment base
Total Number of Apprentices
Total 2018 Employment in Apprentice Trades
*All apprentice employment assumptions are statewide-methodology detailed in apprenticeships data tool. | 2019 Cape Data Package |
32 | ## State Supply Gap Overview: Apprenticeships
Employer demand exceeds the supply of apprentices for a number of 4- and 5-star occupations statewide. Of these, Police and Sheriff's Patrol Officers, Firefighters, and Construction Laborers have the fewest apprentices per opening.
<!-- image --> | 2019 Cape Data Package |
33 | ## Regional Occupation Demand and Supply of Apprentices
In the Cape & Islands, the most popular occupations for apprentices (including Construction Laborers, Electricians, Plumbers, Pipefitters, and Steamfitters) are ranked 4 stars, indicating high wages and strong projected employer demand.
Source: Division of Apprentice Standards, 2019
| Occupation Title | STAR Ranking | Apprentices | Demand |
|-----------------------------------------------------------------------|----------------|---------------|----------|
| Construction Laborers | 4 | 12 | 162 |
| Electricians | 4 | 11 | 78 |
| Plumbers, Pipefitters, and Steamfitters | 4 | 7 | 117 |
| Police and Sheriff's Patrol Officers | 4 | 6 | 91 |
| Heating, Air Conditioning, and Refrigeration Mechanics and Installers | 4 | 6 | 73 |
| Carpenters | 4 | 5 | 275 |
| Firefighters | 4 | 2 | 92 |
| Correctional Officers and Jailers | 2 | 1 | 53 |
| Heavy and Tractor-Trailer Truck Drivers | 4 | 1 | 206 |
| Telecommunications Equipment Installers and Repairers | 3 | 1 | 19 |
| Medical Records and Health Information Technicians | 4 | 1 | 54 |
| | | | | | 2019 Cape Data Package |
34 | ## III. B: Professional Licensing | 2019 Cape Data Package |
35 | ## Top 15 Occupations by DPL Professional Licensing
In the Cape & Islands, a majority of the top occupations by professional licensure are 4- or 5-star occupations.
<!-- image -->
This analysis is not inclusive of occupations licensed by agencies other than the Division of Professional Licensure. Licenses must have been issued between 2000 and 2019, and not be expired as of 2019. | 2019 Cape Data Package |
36 | ## Regional Occupation Demand and DPL Licensing
Comparing the number of license holders with total occupational employment offers another indicator of skill shortages or surpluses in occupational labor markets. While the number of professional licenses exceeds total employment for some occupations, such as Real Estate Salespersons, for others, such as Physical Therapists, the number of jobs (322) outstrips the supply of licenses (187).
| | DPL Board / License Type | STARS | Licenses | 2018 Employment |
|------------------------------|-----------------------------------------------------------------------------------------------------------------------------------------|---------|------------|-------------------|
| Allied Health | | | | |
| Mental Health Counselor | 4 | 194 | 147 | |
| Physical Therapist | 5 | 187 | 322 | |
| Occupational Therapist | 4 | 104 | 197 | |
| Physical Therapist Assistant | 4 | 50 | 136 | |
| Architects | | | | |
| Architect | 4 | 57 | 103 | |
| Cosmetology | | | | |
| Cosmetologist (Hairdresser) | 4 | 898 | 889 | |
| Electricians | | | | |
| Electrician | 4 | 481 | 526 | |
| Engineers And Land Surveyors | 4 | 198 | 418 | |
| Engineer | 4 | | | |
| Gas Fitters | 4 | 807 | 808 | |
| Gas Fitter | 4 | | | |
| Public Accountancy | 5 | 110 | 569 | |
| Certified Public Accountant | Real Estate | 5 | 569 | |
| Real Estate Salesperson | 4 | 2,516 | 399 | |
| Social Workers | 3 | 488 | 530 | |
| Social Worker, Licensed | Source: Division of Professional Licensure, 2000-2019; Bureau of Labor Statistics, Occupational Employment Statistics, 2020 Projections | | | |
Selected occupations ranked 3+ stars only. Not inclusive of occupations licensed by agencies other than the Division of Professional Licensure. Licenses must have been issued between 2000 and 2019, and not be expired as of 2019. See Appendix for additional detail. | 2019 Cape Data Package |
37 | ## Part IV: New Data Tools | 2019 Cape Data Package |
38 | ## Dynamic Data Tools
As an extension of the data package update, a set of new dynamic data tools have been developed to support regional planning work.
These tools are intended to act as a resource for your teams to compare data across regions and generate insights beyond the analysis in this data package, with respect to five different areas:
- 1. Licensure
- 2. Apprenticeships
- 3. Regional Sector Makeup
- 4. Educational Attainment and Employment
- 5. Worker Characteristics | 2019 Cape Data Package |
39 | ## Education Program Supply
<!-- image -->
Online Tool: http://massconnecting.org/pathwaymapping/default.asp#mapping | 2019 Cape Data Package |
40 | ## Discussion Questions
- · How does this data inform your ongoing work to support regional priority industry and occupations?
- · How can you act on this data to accelerate your blueprint priorities?
- · This year, we're asking regional teams to develop an "update" to their blueprints. With this data in mind, what might be important to include in your update? | 2019 Cape Data Package |
41 | ## Appendix: Regional Context | 2019 Cape Data Package |
42 | ## Unemployment Rate
The Cape & Islands unemployment rate was higher than the state average during the winter and early spring months this past year, and was slightly lower than the state average over last summer. This reflects the strength of seasonal employment in the region.
| Oct-18 | Nov-18 | Dec-18 | Jan-19 | Feb-19 | Mar-19 | Apr-19 | May-19 | Jun-19 | Jul-19 | Aug-19 | Sep-19 | Oct-19 | |
|----------|----------|----------|----------|----------|----------|----------|----------|----------|----------|----------|----------|----------|----|
| 0.0% | 1.0% | 2.0% | 3.0% | 4.0% | 5.0% | 6.0% | 7.0% | 8.0% | 9.0% | 10.0% | 11.0% | | | | 2019 Cape Data Package |
43 | ## Unemployed v. Employed in Labor Force
The Cape & Islands labor force is largest in the summer months when tourism is the strongest.
| Oct-18 | Nov-18 | Dec-18 | Jan-19 | Feb-19 | Mar-19 | Apr-19 | May-19 | Jun-19 | Jul-19 | Aug-19 | Sep-19 | Oct-19 | |
|----------|----------|----------|----------|----------|----------|----------|----------|----------|----------|----------|----------|----------|----|
| 128,238 | 123,428 | 122,705 | 118,794 | 117,169 | 118,028 | 122,340 | 129,633 | 141,480 | 149,454 | 148,472 | 134,110 | 128,986 | | | 2019 Cape Data Package |
44 | ## Median Annual Wage
The Cape & Islands median annual wage has increased since 2015, almost twice as much as the state average increase over the same period ($3,933 vs. $1,990).
| Berkishre | Cape and Islands | Central | Greater Boston | Northeast | Pioneer Valley | Southeast | Massachusetts | |
|-------------|--------------------|-----------|------------------|-------------|------------------|-------------|-----------------|----|
| $36,317 | $38,179 | $38,433 | $40,646 | $43,133 | $53,153 | $56,732 | $45,698 | |
| $30,000 | $36,317 | $38,433 | $40,646 | $43,133 | $53,153 | $56,732 | $45,698 | | | 2019 Cape Data Package |
45 | ## Educational Requirements for Employment
Nearly one in five jobs in the Cape & Islands in 2026 are projected to need a Bachelor's degree or higher and more than two-thirds will require a high school diploma or less.
<!-- image -->
<!-- image --> | 2019 Cape Data Package |
46 | ## Appendix: Worker Characteristics | 2019 Cape Data Package |
47 | ## Regional and State Priority Industries by Age
| Category | Value | |
|--------------------------------------------------|---------|----|
| Accommodation and Food Services | 100% | |
| Construction | 2,346 | |
| Health Care and Social Assistance | 1,867 | |
| Manufacturing | 3,169 | |
| Professional, Scientific, and Technical Services | 3,46 | |
| Health Care and Social Assistance | 1,04 | |
| Health Care and Social Assistance | 1,092 | |
| Health Care and Social Assistance | 1,092 | | | 2019 Cape Data Package |
48 | ## Regional and State Priority Industries by Gender
<!-- image --> | 2019 Cape Data Package |
49 | ## Regional and State Priority Industries by Educational Attainment
<!-- image --> | 2019 Cape Data Package |
50 | ## Regional and State Priority Industries by Race
<!-- image --> | 2019 Cape Data Package |
51 | ## Regional and State Priority Industries by Ethnicity
<!-- image --> | 2019 Cape Data Package |
52 | ## Appendix: Priority Industry Profiles | 2019 Cape Data Package |
53 | ## Healthcare and Social
Assistance | 2019 Cape Data Package |
54 | ## Healthcare and Social Assistance by Gender
There are far more women than men working in Healthcare and Social Assistance, overall. This reflects the mix of occupations in the sector.
| Category | Value | |
|---------------------------------------------------------------------------------------------|---------|----|
| US Census Longitudinal Employer-Household Dynamics: Quarterly Workforce Indicators, Q2 2018 | 0% | |
| Male | 10% | |
| Female | 3618 | |
| Change in of Employees | 15,006 | |
| Change in of Employees in of Employees | 10% | |
| Male | Female | |
|--------|----------|----|
| Male | Female | | | 2019 Cape Data Package |
55 | ## Healthcare and Social Assistance by Race/Ethnicity
While most workers in the Healthcare and Social Assistance sector are white, since 2015, growth in employment has been greater for Black or African American, Asian, and Hispanic or Latino populations.
<!-- image -->
Source: US Census Longitudinal Employer-Household Dynamics: Quarterly Workforce Indicators, Q2 2018
Percent and Absolute Change in Industry Employment, Q2 2015 - Q2 2018
<!-- image -->
Source: US Census Longitudinal Employer-Household Dynamics: Quarterly Workforce Indicators, Q2 2015 - Q2 2018 | 2019 Cape Data Package |
56 | ## Hospitality | 2019 Cape Data Package |
57 | ## Hospitality by Gender
The Hospitality industry has almost equal shares of male and female workers in the Cape & Islands. Males have joined the industry in greater numbers than females since 2015.
| Source: US Census Longitudinal Employer-Household Dynamics: Quarterly Workforce Indicators, Q2 2018 | |
|-------------------------------------------------------------------------------------------------------|----|
| Male | |
| Female | |
| Male | |
| Source: US Census Longitudinal Employer-Household Dynamics: Quarterly Workforce Indicators, Q2 2018 | |
|-------------------------------------------------------------------------------------------------------|----|
| Male | |
| Female | | | 2019 Cape Data Package |
58 | ## Hospitality by Race/Ethnicity
Workers in Hospitality in the Cape & Islands are predominantly white, with about 15% identifying as Black or African American or Asian.
<!-- image -->
Source: US Census Longitudinal Employer-Household Dynamics: Quarterly Workforce Indicators, Q2 2018
Source: US Census Longitudinal Employer-Household Dynamics: Quarterly Workforce Indicators, Q2 2015 - Q2 2018 | 2019 Cape Data Package |
59 | ## Construction | 2019 Cape Data Package |
60 | ## Construction by Gender
Construction is a predominantly male industry with just 20% female workers.
| Source: US Census Longitudinal Employer-Household Dynamics: Quarterly Workforce Indicators, Q2 2018 | |
|-------------------------------------------------------------------------------------------------------|----|
| Male | |
| Female | |
Source: US Census Longitudinal Employer-Household Dynamics: Quarterly Workforce Indicators, Q2 2015 - Q2 2018 | 2019 Cape Data Package |
61 | ## Construction by Race/Ethnicity
More than 90% of construction workers are white. Numbers of Black or African American, Asian, and Hispanic or Latino workers are growing, but still represent small numbers of workers on the Cape & Islands.
<!-- image -->
Source: US Census Longitudinal Employer-Household Dynamics: Quarterly Workforce Indicators, Q2 2018
Source: US Census Longitudinal Employer-Household Dynamics: Quarterly Workforce Indicators, Q2 2015 - Q2 2018
<!-- image --> | 2019 Cape Data Package |
62 | ## Appendix: Critical Industry Profiles | 2019 Cape Data Package |
63 | ## Manufacturing | 2019 Cape Data Package |
64 | ## Manufacturing Groups and Employers
The number of manufacturing establishments has declined slightly since 2016 in the Cape & Islands. PepsiCo, Inc had the most job postings (47) in the region over the past year. While Bakeries are one of the subsectors with the largest number of establishments, biotech, pharma and marine science companies like Teledyne, Pfizer and Hydroid had 10 or more openings over the past year.
<!-- image --> | 2019 Cape Data Package |
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