8 Results
filtered by...
Filter
Tags > labor
Sort
Sort by Most Relevant
Filter
8 Results
filtered by
Tags > labor
Clear All
Story
Promote access to good-paying jobs for all Pennsylvanians
Updated
March 17 2020
Views
182,718
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.
Updated
December 6 2019
Views
1,042
Local area labor force information. Information by calendar year including labor force, employed, unemployed, and unemployment rate. Statewide and county statistics.
Updated
January 7 2020
Views
682
Pennsylvania's current low unemployment rate has created a tight labor market with a shortage of job applicants. Looking ahead, slow population growth and an anticipated surge in retirements present an urgent need to attract more skilled workers to our commonwealth, retain the ones who are already here, and prepare the next generation of workers for in-demand careers.
Updated
January 27 2020
Views
3,554
Welcome to the Keystone Economic Development and Workforce Command Center Data Dashboard. The Command Center, created by executive order of Governor Tom Wolf in February 2019, brings an innovative approach to addressing the critical issue of training qualified workers for the jobs Pennsylvania companies need to fill.
Here you will find data related to four themes:
Economic Drivers of Pennsylvania's workforce outcomes, such as local employment growth and business activity;
Information on Pennsylvania's Labor Force, including the state's unemployment and labor force participation rates;
The performance of Pennsylvania's Education and Training programs; and
Barriers to employment for Pennsylvania job-seekers.
Content for the Data Dashboard is updating continually, so please check back often. For more information on the Keystone Economic Development and Workforce Command Center, visit the Command Center website at https://www.pasmart.gov/command-center/
Here you will find data related to four themes:
Economic Drivers of Pennsylvania's workforce outcomes, such as local employment growth and business activity;
Information on Pennsylvania's Labor Force, including the state's unemployment and labor force participation rates;
The performance of Pennsylvania's Education and Training programs; and
Barriers to employment for Pennsylvania job-seekers.
Content for the Data Dashboard is updating continually, so please check back often. For more information on the Keystone Economic Development and Workforce Command Center, visit the Command Center website at https://www.pasmart.gov/command-center/
Updated
January 30 2020
Views
4,486
Represents 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.
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.
Updated
November 13 2019
Views
337
Universities 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.
Updated
September 26 2017
Views
548
The data represents the percent change in wages for an individual who has wages recorded in the Unemployment Compensation (UC) wage record file in the quarter in which they completed Industry Partnership training and wages found in the UC wage record file for that individual four quarters later. The change could be an increase or a decrease in wages. For example, if an individual completed training in the third quarter of 2013 and earned $5,000 in that quarter and earned $7,500 in the third quarter of 2014 the percent change for that individual would be 50%. The file incudes a count of all individuals who benefited from industry partnership training, the workforce development area of the industry partnership, the training program completed and the percentage change in wages per individual training. The top line of the file includes the overall percentage change for all trainings.
*The goal for Labor & Industry is based on receiving $10 million to fund Industry Partnerships.
This dataset is for Program Year 2013-2017 and will be updated annually due to federal release schedule.
There are many reasons why an individual’s wage may have changed dramatically. Some of the reasons for negative wage changes or large increases in wages are listed below (not an exhaustive list).
• An individual may have left the job, was laid off, or retired within the year after they were trained.
• An individual may have become ill and left work.
• An individual may have accepted a job in or moved to another state.
• An individual may have been working two jobs and switched to one, or vice versa.
• An individual’s hours may have been reduced/increased during a quarter.
• Overtime hours may have been reduced/increased during a quarter.
• An individual may have taken family leave.
• A bonus could have been paid right after training was completed.
• Wage records may not have been reported.
• An employer may have closed and laid off all of their employees.
There are many reasons why an individual’s wage may have changed dramatically. Some of the reasons for negative wage changes or large increases in wages are listed below (not an exhaustive list).
• An individual may have left the job, was laid off, or retired within the year after they were trained.
• An individual may have become ill and left work.
• An individual may have accepted a job in or moved to another state.
• An individual may have been working two jobs and switched to one, or vice versa.
• An individual’s hours may have been reduced/increased during a quarter.
• Overtime hours may have been reduced/increased during a quarter.
• An individual may have taken family leave.
• A bonus could have been paid right after training was completed.
• Wage records may not have been reported.
• An employer may have closed and laid off all of their employees.
Updated
November 6 2019
Views
615
Showing 1 to 8 of 8 results
Business Owners
A-Z
- Administrative Office of Pennsylvania Courts (AOPC)
- Department of Agriculture (DAG)
- Department of Community and Economic Development (DCED)
- Department of Conservation and Natural Resources (DCNR)
- Department of Corrections (DOC)
- Department of Drug and Alcohol Programs (DDAP)
- Department of Education (PDE)
- Department of Environmental Protection (DEP)
- Department of Health (DOH)
- Department of Human Services (DHS)
- Department of Labor and Industry (DLI)
- Department of Military and Veterans Affairs (DMVA)
- Department of Revenue (DOR)
- Department of State (DOS)
- Department of Transportation (PDOT)
- Governor's Office
- Office of Administration (OA)
- Office of Performance through Excellence
- Office of the State Fire Commissioner (OSFC)
- Other Open Data Portals
- PA Commission on Crime and Delinquency
- Pennsylvania Emergency Management Agency (PEMA)
- Pennsylvania Health Care Cost Containment Council (PHC4)
- Pennsylvania Historical and Museum Commission
- Pennsylvania State Police
- Public Utility Commission (PUC)
- State System of Higher Education
Tags
A-Z
- 19 (1)
- abstinence (4)
- abuse (7)
- access (3)
- accountability (5)
- act (1)
- addiction (3)
- address (1)
- admission (3)
- adult (2)
- advance (1)
- ag (2)
- age (1)
- agriculture (6)
- aids (1)
- air (5)
- alcohol (10)
- allegheny (2)
- allocation (1)
- animal (1)
- aopc (1)
- applicant (1)
- application (1)
- arrest (1)
- assault (1)
- assessments (1)
- asset (1)
- assistance (7)
- attainment (2)
- autism (2)
- balance (1)
- balanced and restorative justice (5)
- ballot (3)
- barrier (2)
- base (2)
- behavioral (2)
- birth (6)
- bite (2)
- borough (1)
- boudary (1)
- boundary (7)
- box (1)
- bridge (3)
- broadband (1)
- bronze (1)
- budget (2)
- buprenorphine (2)
- business (4)
- call (2)
- campaign (5)
- cancer (1)
- candidate (4)
- capacity (1)
- capital (1)
- care (14)
- career (9)
- careerlink (2)
- case (1)
- case closing (1)
- cdc (2)
- cems (1)
- census (4)
- center (1)
- centroid (1)
- certificate (2)
- certification (1)
- chemical (1)
- chester (1)
- child (12)
- children (4)
- chip (1)
- chronic (2)
- cigarette (1)
- cip (2)
- citizen (1)
- city (3)
- closed (1)
- cms (1)
- college (1)
- command (1)
- commission (1)
- committee (4)
- community (8)
- community protection (3)
- commuter (1)
- company (1)
- compensation (1)
- competency (1)
- competency development (5)
- competitive (1)
- complettions (1)
- congress (1)
- congressional (1)
- conservation (4)
- contract (1)
- contributions (1)
- coronavirus (1)
- corporation (1)
- correction (3)
- corrections (11)
- counties (1)
- county (17)
- court (6)
- coverage (1)
- covid (6)
- covid-19 (4)
- covid19 (2)
- crash (1)
- crawford (1)
- credential rate (2)
- credit (1)
- criminal (6)
- cte (1)
- culture (1)
- customer (2)
- dangerous (1)
- dauphin (1)
- dced (11)
- dcnr (1)
- ddap (5)
- death (10)
- debt (2)
- deficient (2)
- degree (1)
- degree. passhe. program (1)
- degrees (1)
- delaware (1)
- delinquency (1)
- deliquency (1)
- delivery (2)
- demand (3)
- dep (11)
- department (2)
- deployment (1)
- development (5)
- dhs (27)
- diagnosed (1)
- diagnosis (1)
- disability (3)
- disclosure (5)
- disease (9)
- dislocated worker (1)
- disorder (17)
- dispensation (3)
- disposition (2)
- distribution (1)
- district (2)
- districts (1)
- dli (2)
- doa (1)
- doc (12)
- dog (3)
- doh (24)
- dollar (1)
- dor (3)
- dos (10)
- dose (1)
- drink (1)
- drinks (1)
- drug (68)
- drug hospital (1)
- drugs (1)
- e-cig (1)
- early (1)
- early childhood (1)
- earn (1)
- economic (6)
- economy (8)
- ed (1)
- education (43)
- efficiency (3)
- eis (2)
- election (6)
- elevation (1)
- emergency (5)
- emission (2)
- emissions (1)
- employ (1)
- employee (2)
- employment (6)
- employment rate (2)
- ems (1)
- energy (3)
- enforcement (1)
- engineering (1)
- enroll (1)
- enrollment (19)
- entry-level (1)
- environment (9)
- environmental (2)
- epa (1)
- epidemic (2)
- erie (1)
- esri (2)
- establish (1)
- excellence (1)
- exchange (1)
- exemption (1)
- expansion (2)
- expenditure (1)
- expenditures (2)
- expense (2)
- expense. account (1)
- experienced-level (1)
- facility (6)
- families (1)
- family (14)
- farm (2)
- fatal (2)
- fcc (1)
- federal (3)
- feeding (1)
- female (1)
- fentanyl (1)
- finance (5)
- financial (1)
- fine wine and good spirits (1)
- fips (1)
- fire (1)
- fixed-route bus (1)
- food (4)
- force (4)
- forest (1)
- fracking (1)
- frequency (2)
- fuel (1)
- fund (2)
- funding (1)
- fw&gs (1)
- fwgs (1)
- gap (2)
- gas (1)
- gender (1)
- general (2)
- geo (1)
- geographic (1)
- geospatial (26)
- gis (27)
- goal (15)
- government (13)
- governor (17)
- growth (2)
- handler (1)
- hazard (4)
- head start (1)
- health (53)
- help (2)
- hep (1)
- hepatitis (2)
- heroin (11)
- higher (1)
- historical (1)
- history (1)
- hiv (2)
- home (2)
- hospital (19)
- hospitalization (2)
- hotel occupancy (1)
- hotline (2)
- house (1)
- housing (2)
- hssap (1)
- human (12)
- hydrology (1)
- idu (1)
- incarcerated (6)
- incident (1)
- income (1)
- individual (1)
- industry (3)
- industry credentials (1)
- industry partnership (1)
- infection (1)
- informatics (1)
- infrastructure (3)
- injection (1)
- injury (1)
- inmate (11)
- inspection (3)
- inspections (1)
- institution (3)
- institutions (1)
- insurance (8)
- intake (2)
- intellectual (2)
- intelligence (1)
- intercity bus (1)
- intercity rail (1)
- intermediate (1)
- internet (1)
- interview (1)
- inventory (1)
- jcjc (5)
- job (12)
- jobs (6)
- judge (1)
- justice (7)
- juvenile (5)
- juvenile justice (4)
- juvenile justice system enhancement strategy (5)
- kennel (1)
- keystone (2)
- kinship (1)
- l&i (2)
- labor
- labor and industry (1)
- labor exchange (2)
- land (2)
- landfill (1)
- lands (1)
- lat (1)
- latitude (1)
- laus (1)
- law (1)
- lcb (1)
- lean (2)
- learning (1)
- license (5)
- licensee (1)
- liquor (1)
- livestock (1)
- living (1)
- lobbying (1)
- lobbyist (2)
- local (13)
- location (2)
- long (2)
- longitude (1)
- lottery (1)
- lotto (1)
- ma (5)
- mail (2)
- male (1)
- map (11)
- marcellus (1)
- markers (1)
- market (2)
- mat (9)
- maternal (5)
- math (1)
- meal (1)
- measurable skill gains (2)
- measure (1)
- median earnings (2)
- medicaid (11)
- medical (7)
- medicare (2)
- medicate (1)
- medication (11)
- mental (1)
- methadone (1)
- metric (1)
- military (1)
- mine (1)
- miti (1)
- mitigation (1)
- monitoring (3)
- montgomery (1)
- morphine (1)
- mortality (1)
- municipal (1)
- municipality (9)
- munstats (1)
- museum (1)
- naloxone (8)
- narcan (2)
- narcon (1)
- narcotics (1)
- nas (6)
- natural (1)
- nature (1)
- nei (2)
- neonatal (6)
- neonate (2)
- new spudded well (1)
- newborn (1)
- nuclear (1)
- nutrition (3)
- occupation (3)
- ocdel (7)
- ocyf (5)
- official (1)
- oil (1)
- oil and gas (1)
- open (2)
- opioid (98)
- opioid use disorder (3)
- opioid use related diseases (1)
- opioid, drug, oud, disease, health, disorder, doh (1)
- opioids (2)
- opium (1)
- oud (31)
- out of home placement (3)
- outcomes (2)
- overdose (16)
- pa (1)
- padoc (6)
- pain (5)
- pantry (2)
- parcel (2)
- park (2)
- parole (3)
- partnerships (1)
- party (1)
- pasda (1)
- passhe (3)
- payment (1)
- pbpp (2)
- pde (9)
- pdot (5)
- penndot (2)
- pennsylvania (2)
- performance (5)
- perkins (1)
- permit (1)
- pet (1)
- pharmacy (1)
- phc4 (16)
- phil (1)
- philadelphia (1)
- philly (1)
- phmc (1)
- pid (4)
- pittsburgh (2)
- pkc (1)
- placement (1)
- plan (1)
- plaques (1)
- plcb (1)
- poison (1)
- police (3)
- pollutant (2)
- pollutants (1)
- population (6)
- portal (2)
- post (1)
- postsecondary (2)
- poverty (1)
- pre-k (1)
- pregancy (1)
- pregnancies (1)
- pregnancy (2)
- prepare (1)
- prescribe (2)
- prescribing (1)
- prescription (2)
- prevalence (1)
- prevention (2)
- primary (1)
- private (2)
- prizes (1)
- probation (3)
- produce (1)
- production (1)
- productivity (3)
- professional (1)
- profile (1)
- program (2)
- protection (2)
- provider (6)
- psp (1)
- public (8)
- public safety (1)
- public transit (1)
- puc (1)
- quality (2)
- radiation (2)
- radon (2)
- rcra (1)
- re-entry (2)
- reading (1)
- rearrest (1)
- receipt (1)
- recidivism (1)
- recovery (1)
- reentry (2)
- refresh (2)
- regional (1)
- regional rail (1)
- regions (1)
- registration (2)
- regulated (1)
- regulation (1)
- reincarceration (1)
- release (1)
- repair (1)
- repaired (1)
- replace (1)
- replaced (1)
- rescue (2)
- resident (2)
- resource (1)
- resources (1)
- responder (1)
- restaurant (1)
- result (1)
- retailer (1)
- retention (1)
- revenue (4)
- reversal (1)
- ride (1)
- risky (1)
- road (2)
- rural transportation (1)
- safe (3)
- safety (6)
- salary (1)
- sales (1)
- sales tax (1)
- samhsa (1)
- sample (1)
- sca (1)
- schedule (2)
- school (26)
- school performance (1)
- school profile (1)
- science (1)
- sd (1)
- sdwis (1)
- secondary (3)
- seizure (1)
- senate (1)
- senior (1)
- service (8)
- services (4)
- shale (1)
- shared-ride (1)
- skill (1)
- skills (3)
- slots (2)
- snap (1)
- spatial (26)
- special (5)
- speed (1)
- spending (3)
- spirits (1)
- stamps (1)
- stars (1)
- state (9)
- state stores (1)
- statistics (1)
- status (2)
- stem (1)
- strategy (1)
- structurally (1)
- structure (2)
- suboxone (6)
- substance (5)
- summer (1)
- supplier (1)
- supply (2)
- support (1)
- syndrome (4)
- syndromic (1)
- system (1)
- take (1)
- tax (4)