- Occupations
The number of employees of Luzerne County, PA was 11,134 for management in 2015. The number of employees of Northampton County, PA was 13,320 for management in 2015.
Occupations
Above charts are based on data from the U.S. Census American Community Survey | ODN Dataset | API -
Jobs and Occupations Datasets Involving Luzerne County, PA or Northampton County, PA
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Quarterly Census of Employment and Wages (QCEW) 2016-2018 County Labor and Industry
data.pa.gov | Last Updated 2022-05-11T18:56:23.000ZNew Dataset for 2019 - Current by Quarter is now available - <a href="https://data.pa.gov/Workforce-Development/Quarterly-Census-of-Employment-and-Wages-QCEW-2019/bm6e-y9xf"> Quarterly Census of Employment and Wages (QCEW) 2019 - Current County Labor and Industry</a> The Quarterly Census of Employment and Wages (QCEW) dataset provides information about the number of establishments within a geographic area by industry as well as the average number of employees and average weekly wages paid. QCEW is the universe of employment covered under Pennsylvania’s unemployment insurance laws. QCEW employment is based on the location of the position not where the person resides.
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Local Area Unemployment Statistics (LAUS) CY 2016 - Current Annual County Labor and Industry
data.pa.gov | Last Updated 2022-02-18T21:02:32.000ZLocal area labor force information. Information by calendar year including labor force, employed, unemployed, and unemployment rate. Statewide and county statistics.
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Pennsylvania Professional Licensee Data County State
data.pa.gov | Last Updated 2024-03-14T13:31:13.000ZThis dataset contains counts of professional licensees per each licensed occupation and is broken down by County of licensee. *Appearances of non-Pennsylvania counties in the data are due to practitioners that are either licensed to practice in Pennsylvania but live out of state or own a facility in Pennsylvania but live out of state. **Appearances of null values in the data are due to the county field being an optional field for a license application and the county does not auto populate based on the address at this point in time.
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Quarterly Census of Employment and Wages (QCEW) 2019 - Current County Labor and Industry
data.pa.gov | Last Updated 2024-08-26T18:29:44.000ZPrior Dataset for 2016 - 2018 Annual available - <a href=“https://data.pa.gov/Workforce-Development/Quarterly-Census-of-Employment-and-Wages-QCEW-2016/342b-rkgt"> Quarterly Census of Employment and Wages (QCEW) 2016 - 2018 County Labor and Industry</a> The Quarterly Census of Employment and Wages (QCEW) dataset provides information about the number of establishments within a geographic area by industry as well as the average number of employees and average weekly wages paid. QCEW is the universe of employment covered under Pennsylvania’s unemployment insurance laws. QCEW employment is based on the location of the position not where the person resides.
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Occupational Wages 2018 Labor and Industry
data.pa.gov | Last Updated 2022-10-17T19:57:18.000ZRepresents a comprehensive collection of occupational wage data available for Pennsylvania. Data are collected through the Occupational Employment Statistics program in cooperation with the U.S. Department of Labor’s Bureau of Labor Statistics. Occupational wage information can be used as a reference by educators, PACareerLink® staff, career counselors, Workforce Development Boards, economic developers, program planners, and others. Technical Note Occupational wages do not represent a time series. Due to the prescribed production methodology, current occupational wages are not comparable to previously published occupational wages.
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Workforce Innovation and Opportunity Act (WIOA) Title I Performance Accountability Metrics PY 2017-2018 - Current Annual County Area & Statewide Labor and Industry
data.pa.gov | Last Updated 2022-06-09T15:49:39.000ZA comprehensive collection of data that assesses the effectiveness of Pennsylvania in achieving positive outcomes for individuals served by the workforce development system’s Title I Adult, Dislocated Worker, and Youth programs. Data is compiled in compliance with US Department of Labor’s Employment and Training Administration guidance on Workforce Innovation and Opportunity Act (WIOA) Performance Accountability. Data is available for the state and each of the local workforce development areas in the commonwealth.
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Supply/Demand Gap Analysis 2014-2024 State System of Higher Education
data.pa.gov | Last Updated 2022-09-13T22:00:30.000ZUniversities have historically operated under a supply-driven model, wherein learners seek out programs and degrees offered by the institution regardless of business need. In order to better align programs and identify opportunities for university and learner success, new approaches must be undertaken at various levels within the institution. To address this need, the State System conducted original research in 2016 and produced Pennsylvania’s first comprehensive gap analysis study.
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Uninsured Population Census Data CY 2009-2014 Human Services
data.pa.gov | Last Updated 2022-10-18T14:19:11.000ZThis data is pulled from the U.S. Census website. This data is for years Calendar Years 2009-2014. Product: SAHIE File Layout Overview Small Area Health Insurance Estimates Program - SAHIE Filenames: SAHIE Text and SAHIE CSV files 2009 – 2014 Source: Small Area Health Insurance Estimates Program, U.S. Census Bureau. Internet Release Date: May 2016 Description: Model‐based Small Area Health Insurance Estimates (SAHIE) for Counties and States File Layout and Definitions The Small Area Health Insurance Estimates (SAHIE) program was created to develop model-based estimates of health insurance coverage for counties and states. This program builds on the work of the Small Area Income and Poverty Estimates (SAIPE) program. SAHIE is only source of single-year health insurance coverage estimates for all U.S. counties. For 2008-2014, SAHIE publishes STATE and COUNTY estimates of population with and without health insurance coverage, along with measures of uncertainty, for the full cross-classification of: •5 age categories: 0-64, 18-64, 21-64, 40-64, and 50-64 •3 sex categories: both sexes, male, and female •6 income categories: all incomes, as well as income-to-poverty ratio (IPR) categories 0-138%, 0-200%, 0-250%, 0-400%, and 138-400% of the poverty threshold •4 races/ethnicities (for states only): all races/ethnicities, White not Hispanic, Black not Hispanic, and Hispanic (any race). In addition, estimates for age category 0-18 by the income categories listed above are published. Each year’s estimates are adjusted so that, before rounding, the county estimates sum to their respective state totals and for key demographics the state estimates sum to the national ACS numbers insured and uninsured. This program is partially funded by the Centers for Disease Control and Prevention's (CDC), National Breast and Cervical Cancer Early Detection ProgramLink to a non-federal Web site (NBCCEDP). The CDC have a congressional mandate to provide screening services for breast and cervical cancer to low-income, uninsured, and underserved women through the NBCCEDP. Most state NBCCEDP programs define low-income as 200 or 250 percent of the poverty threshold. Also included are IPR categories relevant to the Affordable Care Act (ACA). In 2014, the ACA will help families gain access to health care by allowing Medicaid to cover families with incomes less than or equal to 138 percent of the poverty line. Families with incomes above the level needed to qualify for Medicaid, but less than or equal to 400 percent of the poverty line can receive tax credits that will help them pay for health coverage in the new health insurance exchanges. We welcome your feedback as we continue to research and improve our estimation methods. The SAHIE program's age model methodology and estimates have undergone internal U.S. Census Bureau review as well as external review. See the SAHIE Methodological Review page for more details and a summary of the comments and our response. The SAHIE program models health insurance coverage by combining survey data from several sources, including: •The American Community Survey (ACS) •Demographic population estimates •Aggregated federal tax returns •Participation records for the Supplemental Nutrition Assistance Program (SNAP), formerly known as the Food Stamp program •County Business Patterns •Medicaid •Children's Health Insurance Program (CHIP) participation records •Census 2010 Margin of error (MOE). Some ACS products provide an MOE instead of confidence intervals. An MOE is the difference between an estimate and its upper or lower confidence bounds. Confidence bounds can be created by adding the margin of error to the estimate (for the upper bound) and subtracting the margin of error from the estimate (for the lower bound). All published ACS margins of error are based on a 90-percent confidence level.