Welcome!

News Feed Item

PA Unemployment Rate Dips to 6.0% in March

HARRISBURG, Pa., April 18, 2014 /PRNewswire-USNewswire/ -- Today, the Pennsylvania Department of Labor & Industry released its employment situation report for March 2014.

Pennsylvania's seasonally adjusted unemployment rate declined by two-tenths of a percentage point in March to 6.0 percent, the lowest rate since October 2008. The commonwealth's rate was seven-tenths of a percentage point below the U.S. rate, which was unchanged from February at 6.7 percent. The state rate was down 1.7 percentage points from its March 2013 rate of 7.7 percent.

Pennsylvania's civilian labor force – the number of people working or looking for work –increased by 12,000 in March to 6,442,000.  Resident employment was up 19,000, the third consecutive gain exceeding 10,000. The number of unemployed residents, which trended downward for the eighth consecutive month, was down by 8,000 in March to 390,000.

Total nonfarm jobs were down by 8,400 in March to 5,758,900. The decline was concentrated in the private sector, as government jobs remained at their February level. The largest drop was in professional & business services (-5,000), which fell below the record high level set in February. Leisure & hospitality, financial activities (-2,200), and education & health services (-2,000) also each had declines of 2,000 or more jobs. Trade, transportation & utilities (+1,700) and other services (+1,200) showed significant growth in March. Manufacturing, up 1,300, added jobs following four consecutive monthly declines.

Over the year, total nonfarm jobs in Pennsylvania were up 17,200 (+0.3%). The growth was primarily within private service-providing industries. The largest gains were in leisure & hospitality (+14,300) and professional & business services (+5,700).

Note: The above data are seasonally adjusted. Seasonally adjusted data provide the most valid month-to-month comparison.

Media Contact:   Sara Goulet, 717-787-7530

Editor's Note: A breakdown of Pennsylvania's employment statistics follows.

Current Labor Force Statistics

Seasonally Adjusted

(in thousands)











 Change from

Change from


      March

  February

  March

February 2014

March 2013


2014

2014

2013

       volume 

  percent    

      volume   

percent

PA                








Civilian Labor Force    

6,442

6,430

6,488

12

0.2%

-46

-0.7%

Employment             

6,052

6,033

5,991

19

0.3%

61

1.0%

Unemployment         

390

398

496

-8

-2.0%

-106

-21.4%

Rate                           

6.0

6.2

7.7

-0.2

----

-1.7

----









U.S.                         








Civilian Labor Force      

156,227

155,724

155,099

503

0.3%

1,128

0.7%

Employment             

145,742

145,266

143,393

476

0.3%

2,349

1.6%

Unemployment          

10,486

10,459

11,706

27

0.3%

-1,220

-10.4%

Rate                        

6.7

6.7

7.5

0.0

----

-0.8

----

 

Pennsylvania Nonagricultural Wage and Salary Employment 

Seasonally Adjusted 

(in thousands) 





 Change from

 Change from


  March   

    February  

      March  

     February 2014     

 March 2013


2014

2014

2013

  volume   

  percent   

volume   

percent









Total Nonfarm Jobs                        

5,758.9

5,767.3

5,741.7

-8.4

-0.1%

17.2

0.3%









Goods Producing Industries          

826.6

826.2

826.7

0.4

0.0%

-0.1

0.0%

  Mining & Logging                       

36.4

36.8

35.9

-0.4

-1.1%

0.5

1.4%

  Construction                                

229.5

230.0

226.0

-0.5

-0.2%

3.5

1.5%

  Manufacturing                               

560.7

559.4

564.8

1.3

0.2%

-4.1

-0.7%









Service Providing Industries       

4,932.3

4,941.1

4,915.0

-8.8

-0.2%

17.3

0.4%

  Trade, Transportation & Utilities      

1,105.6

1,103.9

1,102.2

1.7

0.2%

3.4

0.3%

  Information                                

87.1

87.0

88.9

0.1

0.1%

-1.8

-2.0%

  Financial Activities                      

313.6

315.8

311.7

-2.2

-0.7%

1.9

0.6%

  Professional & Business Services   

752.1

757.1

746.4

-5.0

-0.7%

5.7

0.8%

  Education & Health Services       

1,160.0

1,162.0

1,158.2

-2.0

-0.2%

1.8

0.2%

  Leisure & Hospitality              

547.2

549.8

532.9

-2.6

-0.5%

14.3

2.7%

  Other Services                    

253.5

252.3

251.9

1.2

0.5%

1.6

0.6%

  Government                          

713.2

713.2

722.8

0.0

0.0%

-9.6

-1.3%

                                                                                                              

For a more detailed breakdown of seasonally adjusted jobs data at the sector level, please contact the Center for Workforce Information & Analysis at 1-877-4WF-DATA, or visit www.paworkstats.pa.gov

Note: April 2014 labor force and nonfarm jobs statistics will be released May 16, 2014.

SOURCE Pennsylvania Department of Labor & Industry

More Stories By PR Newswire

Copyright © 2007 PR Newswire. All rights reserved. Republication or redistribution of PRNewswire content is expressly prohibited without the prior written consent of PRNewswire. PRNewswire shall not be liable for any errors or delays in the content, or for any actions taken in reliance thereon.

Latest Stories
With more than 30 Kubernetes solutions in the marketplace, it's tempting to think Kubernetes and the vendor ecosystem has solved the problem of operationalizing containers at scale or of automatically managing the elasticity of the underlying infrastructure that these solutions need to be truly scalable. Far from it. There are at least six major pain points that companies experience when they try to deploy and run Kubernetes in their complex environments. In this presentation, the speaker will d...
While DevOps most critically and famously fosters collaboration, communication, and integration through cultural change, culture is more of an output than an input. In order to actively drive cultural evolution, organizations must make substantial organizational and process changes, and adopt new technologies, to encourage a DevOps culture. Moderated by Andi Mann, panelists discussed how to balance these three pillars of DevOps, where to focus attention (and resources), where organizations might...
The deluge of IoT sensor data collected from connected devices and the powerful AI required to make that data actionable are giving rise to a hybrid ecosystem in which cloud, on-prem and edge processes become interweaved. Attendees will learn how emerging composable infrastructure solutions deliver the adaptive architecture needed to manage this new data reality. Machine learning algorithms can better anticipate data storms and automate resources to support surges, including fully scalable GPU-c...
When building large, cloud-based applications that operate at a high scale, it's important to maintain a high availability and resilience to failures. In order to do that, you must be tolerant of failures, even in light of failures in other areas of your application. "Fly two mistakes high" is an old adage in the radio control airplane hobby. It means, fly high enough so that if you make a mistake, you can continue flying with room to still make mistakes. In his session at 18th Cloud Expo, Le...
Machine learning has taken residence at our cities' cores and now we can finally have "smart cities." Cities are a collection of buildings made to provide the structure and safety necessary for people to function, create and survive. Buildings are a pool of ever-changing performance data from large automated systems such as heating and cooling to the people that live and work within them. Through machine learning, buildings can optimize performance, reduce costs, and improve occupant comfort by ...
As Cybric's Chief Technology Officer, Mike D. Kail is responsible for the strategic vision and technical direction of the platform. Prior to founding Cybric, Mike was Yahoo's CIO and SVP of Infrastructure, where he led the IT and Data Center functions for the company. He has more than 24 years of IT Operations experience with a focus on highly-scalable architectures.
CI/CD is conceptually straightforward, yet often technically intricate to implement since it requires time and opportunities to develop intimate understanding on not only DevOps processes and operations, but likely product integrations with multiple platforms. This session intends to bridge the gap by offering an intense learning experience while witnessing the processes and operations to build from zero to a simple, yet functional CI/CD pipeline integrated with Jenkins, Github, Docker and Azure...
The explosion of new web/cloud/IoT-based applications and the data they generate are transforming our world right before our eyes. In this rush to adopt these new technologies, organizations are often ignoring fundamental questions concerning who owns the data and failing to ask for permission to conduct invasive surveillance of their customers. Organizations that are not transparent about how their systems gather data telemetry without offering shared data ownership risk product rejection, regu...
René Bostic is the Technical VP of the IBM Cloud Unit in North America. Enjoying her career with IBM during the modern millennial technological era, she is an expert in cloud computing, DevOps and emerging cloud technologies such as Blockchain. Her strengths and core competencies include a proven record of accomplishments in consensus building at all levels to assess, plan, and implement enterprise and cloud computing solutions. René is a member of the Society of Women Engineers (SWE) and a m...
Dhiraj Sehgal works in Delphix's product and solution organization. His focus has been DevOps, DataOps, private cloud and datacenters customers, technologies and products. He has wealth of experience in cloud focused and virtualized technologies ranging from compute, networking to storage. He has spoken at Cloud Expo for last 3 years now in New York and Santa Clara.
Enterprises are striving to become digital businesses for differentiated innovation and customer-centricity. Traditionally, they focused on digitizing processes and paper workflow. To be a disruptor and compete against new players, they need to gain insight into business data and innovate at scale. Cloud and cognitive technologies can help them leverage hidden data in SAP/ERP systems to fuel their businesses to accelerate digital transformation success.
Containers and Kubernetes allow for code portability across on-premise VMs, bare metal, or multiple cloud provider environments. Yet, despite this portability promise, developers may include configuration and application definitions that constrain or even eliminate application portability. In this session we'll describe best practices for "configuration as code" in a Kubernetes environment. We will demonstrate how a properly constructed containerized app can be deployed to both Amazon and Azure ...
Poor data quality and analytics drive down business value. In fact, Gartner estimated that the average financial impact of poor data quality on organizations is $9.7 million per year. But bad data is much more than a cost center. By eroding trust in information, analytics and the business decisions based on these, it is a serious impediment to digital transformation.
Digital Transformation: Preparing Cloud & IoT Security for the Age of Artificial Intelligence. As automation and artificial intelligence (AI) power solution development and delivery, many businesses need to build backend cloud capabilities. Well-poised organizations, marketing smart devices with AI and BlockChain capabilities prepare to refine compliance and regulatory capabilities in 2018. Volumes of health, financial, technical and privacy data, along with tightening compliance requirements by...
Predicting the future has never been more challenging - not because of the lack of data but because of the flood of ungoverned and risk laden information. Microsoft states that 2.5 exabytes of data are created every day. Expectations and reliance on data are being pushed to the limits, as demands around hybrid options continue to grow.