Methodology

If you wish to access components of the raw data or source analysis, please click below and describe your request.

Regional Workforce Analysis

The change in jobs estimate was derived from the US Census Bureau Quarterly Workforce Indicators Beginning of Quarter Employment: Counts (Yearly averages) using the 11-county geography covered in the working-age adult survey.

Northeast Ohio Industry Data

Industry Data: Lightcast industry data have various sources depending on the class of worker. (1) For QCEW Employees, Lightcast primarily uses the QCEW (Quarterly Census of Employment and Wages), with supplemental estimates from County Business Patterns. (2) Non-QCEW employees data are based on a number of sources including QCEW, Current Employment Statistics, County Business Patterns, BEA State and Local Personal Income reports, the National Industry-Occupation Employment Matrix (NIOEM), the American Community Survey, and Railroad Retirement Board statistics. (3) Self-Employed and Extended Proprietor classes of worker data are primarily based on the American Community Survey, Nonemployer Statistics, and BEA State and Local Personal Income Reports. Projections for QCEW and Non-QCEW Employees are informed by NIOEM and long-term industry projections published by individual states.

State Data Sources
This report uses state data from the following agencies: Ohio Department of Job and Family Services

Working-age Adult Survey

The results of the working-age adult survey are both statistically significant and demographically representative of the geographic area it covered. The Center for Marketing and Opinion Research (CMOR) conducted the 2022 Working-age Adult Survey on behalf of ConxusNEO, in partnership with Ohio’s Local Workforce Area 2 (Summit/Medina Counties) and part of Local Workforce Area 19 (Portage County) as well as the Fund for Our Economic Future. The surveys were conducted between February 10 and May 3, 2022. Respondents in an 11-county area of Northeast Ohio participated in the survey. CMOR collaborated with all partners in the development of the survey instrument.

CMOR administered the survey both online and over the phone. Phone surveys were completed by CMOR’s professionally trained telephone interviewers. Online surveys were conducted utilizing online panels in addition to surveys collected via email invitations sent by CMOR to randomly selected residents of the 11-county region. The design of the online survey was optimized for respondents completing via computer as well as on a mobile device such as a tablet or smartphone. The table below shows sample sizes and margins of error for each county.

CMOR administered the survey both online and over the phone. Phone surveys were completed by CMOR’s professionally trained telephone interviewers. Online surveys were conducted utilizing online panels in addition to surveys collected via email invitations sent by CMOR to randomly selected residents of the 11-county region. The design of the online survey was optimized for respondents completing via computer as well as on a mobile device such as a tablet or smartphone. Table 1 shows sample sizes and margins of error for each county.

For analysis of the region as a whole, weights were added to completed surveys from each county. This allows results to be applied to the entire region with each county being appropriately represented based on their current population. Where analysis of the three-county Greater Akron area are presented, a different set of weights were applied to these three counties to represent this area. Table 2 shows the regional populations and weights applied for the 11-county region as well as the three-county area referenced.

Table 1.

County Responses Margin of Error
Cuyahoga 443 4.7%
Geauga 225 6.5%
Lake 229 6.5%
Lorain 400 4.9%
Mahoning 234 6.4%
Medina 800 3.5%
Portage 800 3.5%
Stark 412 4.8%
Summit 800 3.5%
Trumbull 244 6.3%
Wayne 400 4.9%

Table 2.

COUNTY  POPULATION  POP %  SAMPLE  SAMPLE %  WEIGHT 
Cuyahoga 1,241,475 33.8% 443 8.9% 3.81
Geauga 93,657 2.6% 225 4.5% 0.57
Lake 229,755 6.3% 229 4.6% 1.36
Lorain 309,134 8.4% 400 8.0% 1.05
Mahoning 228,452 6.2% 234 4.7% 1.33
Medina 179,116 4.9% 800 16.0% 0.30
Portage 162,476 4.4% 800 16.0% 0.28
Stark 371,516 10.1% 412 8.3% 1.22
Summit 540,810 14.7% 800 16.0% 0.92
Trumbull 199,144 5.4% 244 4.9% 1.11
Wayne 116,063 3.2% 400 8.0% 0.39
COUNTY POPULATION POP. % SAMPLE SAMPLE % WEIGHT
Medina 179,116 20.3% 800 33.3% 0.61
Portage 162,476 18.4% 800 33.3% 0.55
Summit 540,810 61.3% 800 33.3% 1.84

References to respondents and extrapolations from survey data

The survey instrument included a complex set of question pathways depending on individual responses. (For example, respondents who indicated they retired five years ago were not asked if they quit a job in the previous 12 months.) This analysis has sought to clearly define the subset of respondents to which a particular data point applies. Unless otherwise noted, the following definitions are as follows:

Workers: People currently in the workforce – that is, currently employed, or not employed but seeking employment. This segment does not include respondents who are retired or who are not employed and not seeking employment.

People: Some questions were asked of all survey respondents, and where these data points are presented, “people” represents adults in the region.

Respondents: Where a data point applies to a more complex subset of respondents (for example, people who are currently employed and indicate they are somewhat or very likely to quit their jobs in the next 12 months), that subset is described in greater detail within the narrative.

Regional Population Extrapolations

Regional extrapolations using the data from the survey were produced using population data from the 2020 American Community Survey 5-year estimates. These extrapolations are estimates derived by applying survey response data to the population from which the survey sample was drawn and were generated for only those responses that produced statistically relevant results  Margins of errors for provided estimates range from 0.437% to 2.412%.

Employer Survey

From mid-December 2021 to January 2022, The Corporate University at Kent State University Stark administered a survey of Northeast Ohio employers. The intent of the survey was to better understand how the labor shortage is manifesting in Northeast Ohio, what employers have tried or are willing to try to attract and retain talent, and how well employers understand what workers want and need in today’s labor market.

The survey questionnaire was built in the Qualtrics platform with prompts to ensure survey completion. The survey sample of 605 responses was a convenience sample, anonymously collected through a link shared through partner email lists and social media postings. An aggregate report with descriptive statistics and verbatim text of open-ended questions was generated through the Qualtrics platform. Separate aggregate reports for each of the counties were also created. Figure 1 is a breakdown of survey responses received by county and Figure 2 is by industry.

 

Figure 1. Employer survey responses by county

Figure 2. Employer survey responses by industry

Employer Roundtables

From late January through March 2022, approximately 300 people from 16 counties participated in 23 employer-focused roundtables. Facilitated by Team NEO and PolicyBridge, the roundtables were primarily composed of CEOs, HR directors and managers and business owners, who represented businesses in the manufacturing, health care, information technology, retail, hospitality, banking, trucking and logistics, landscaping, government, and nonprofit/social service sectors.

The purpose of the roundtables was to hear from employers about their attraction and retention challenges and strategies and to dig deeper on themes that emerged from the employer survey.

The roundtables were conducted in partnership with Northeast Ohio economic development, philanthropic and civic organizations (see partner list under Acknowledgements). These organizations helped promote the sessions among their members and constituents and many served as “hosts.” Most of the roundtables were organized by geography, though there were a handful of roundtables that focused on industry or business type (i.e., manufacturing, nonprofit, MBEs). Nearly all the sessions were held virtually; two of the sessions were conducted in-person. Many of those who attended had previously filled out the employer survey.

Every 90-minute session began with an overview of the employer survey data, including any relevant county-specific findings. Though a facilitation guide was developed to help manage the sessions, overwhelmingly, the conversations flowed organically and focused on the particular themes that mattered most to the participants in individual sessions.

The registration process for the sessions captured names, titles and organizations. Industry and demographic information was gleaned from public sources or provided by participants during the sessions.

Read more about the roundtables here.

Working-age Adult Focus Groups

A total of 10 working-age adult focus groups were conducted in May and June of 2020. PolicyBridge administered six in Cuyahoga County, soliciting input from a geographically balanced population in that area. To drill down deeper into the survey data, CMOR conducted four other focus groups that focused on specific subsets of the population. More details on how these sessions were conducted and who participated follows.

Cuyahoga County Focus Groups

Between May 12, and May 20, 2022, PolicyBridge conducted three focus groups on the east side of Cleveland and three on the west side of Cleveland. PolicyBridge solicited partnerships with nonprofit organizations, who served as hosts for the sessions, helped recruit participants and co-facilitated. The partners PolicyBridge engaged were: A Vision of Change; Environmental Health Watch; Esperanza; and Union Miles Development Corporation. The number of participants targeted for each session was 10 to 15 working-age adults. A total of 69 adults between the ages of 18 and 72 living in the city of Cleveland and surrounding suburbs participated. A demographic breakdown of all participants is included below. Participants were asked questions about their recruitment and retention experiences; wages and benefits; and their thoughts on the employment climate.  

Focus Groups of Specific Population Subsets

CMOR conducted three, 90-minute focus groups from May 18 to June 27, 2022, to collect qualitative data and information specific to certain subsets of the population. Individuals who participated in the working-age adult survey were recruited for the focus group sessions, based on their survey responses. The sessions focused on: individuals working in the hospitality industry; individuals who plan to quit this year; and individuals who work more than one job.

Request Data

To request source analysis and raw data, please complete the form below or contact watw@thefundneo.org with the details of your request.