Welcome!

News Feed Item

PA Unemployment Rate at 5.7% in July

HARRISBURG, Pa., Aug. 15, 2014 /PRNewswire-USNewswire/ -- Today, the Pennsylvania Department of Labor & Industry released its employment situation report for July 2014.

Pennsylvania's unemployment rate rose in July to 5.7 percent, up one-tenth of a percentage point from June. This was the first gain in the state unemployment rate since June 2012. The commonwealth's rate was five-tenths of a percentage point below the U.S. rate of 6.2 percent, which was also up one-tenth of a point in July. The state rate was down 1.8 percentage points from its July 2013 rate of 7.5 percent.

Pennsylvania's civilian labor force – the number of people working or looking for work – was down 32,000 in July to 6,371,000 due to a decline in resident employment (-35,000). Despite July's decline, employment has been trending upward.  Pennsylvania's employment has gone up 40,000 in the past year, and is up 21,000 so far in 2014. Unemployment, up 400, increased for the first time since August 2012.

Total nonfarm jobs decreased by 700 from June to 5,793,000. This decline followed gains in the previous three months which totaled 35,800. July's drop was limited to private industry, down 3,400, as public sector jobs grew for the sixth consecutive month. The largest gain in July was in construction (+3,500), while the largest drop was in leisure & hospitality (-4,400).

Over the year, total nonfarm jobs in Pennsylvania were up 54,100 (+0.9%). The growth was almost entirely within private industries, with the largest gains in construction and trade, transportation & utilities.

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


July

June

July 

June 2014

July 2013


2014

2014

2013

volume 

percent 

volume 

percent

PA








Civilian Labor Force 

6,371

6,403

6,457

-32

-0.5%

-86

-1.3%

Employment 

6,011

6,046

5,971

-35

-0.6%

40

0.7%

Unemployment 

361

357

486

4

1.1%

-125

-25.7%

Rate 

5.7

5.6

7.5

0.1

----

-1.8

----









U.S.  








Civilian Labor Force 

156,023

155,694

155,693

329

0.2%

330

0.2%

Employment 

146,352

146,221

144,285

131

0.1%

2,067

1.4%

Unemployment 

9,671

9,474

11,408

197

2.1%

-1,737

-15.2%

Rate 

6.2

6.1

7.3

0.1

----

-1.1

----

 

Pennsylvania Nonagricultural Wage and Salary Employment

Seasonally Adjusted

(in thousands)






Change from 

Change from


July 

June 

July 

June 2014 

July 2013


2014

2014

2013

volume 

percent 

volume 

percent









Total Nonfarm Jobs 

5,793.0

5,793.7

5,738.9

-0.7

0.0%

54.1

0.9%









Goods Producing Industries 

837.6

832.2

824.3

5.4

0.6%

13.3

1.6%

  Mining & Logging 

38.1

37.8

36.0

0.3

0.8%

2.1

5.8%

  Construction 

241.1

237.6

225.8

3.5

1.5%

15.3

6.8%

  Manufacturing 

558.4

556.8

562.5

1.6

0.3%

-4.1

-0.7%









Service Providing Industries 

4,955.4

4,961.5

4,914.6

-6.1

-0.1%

40.8

0.8%

  Trade, Transportation & Utilities 

1,116.6

1,114.2

1,102.1

2.4

0.2%

14.5

1.3%

  Information 

84.4

85.4

88.2

-1.0

-1.2%

-3.8

-4.3%

  Financial Activities 

316.3

317.8

312.4

-1.5

-0.5%

3.9

1.2%

  Professional & Business Services 

757.8

759.7

752.2

-1.9

-0.3%

5.6

0.7%

  Education & Health Services 

1,167.6

1,166.5

1,154.4

1.1

0.1%

13.2

1.1%

  Leisure & Hospitality 

540.8

545.2

533.9

-4.4

-0.8%

6.9

1.3%

  Other Services 

254.4

257.9

251.9

-3.5

-1.4%

2.5

1.0%

  Government 

717.5

714.8

719.5

2.7

0.4%

-2.0

-0.3%

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: August 2014 labor force and nonfarm jobs statistics will be released September 19, 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
The best way to leverage your Cloud Expo presence as a sponsor and exhibitor is to plan your news announcements around our events. The press covering Cloud Expo and @ThingsExpo will have access to these releases and will amplify your news announcements. More than two dozen Cloud companies either set deals at our shows or have announced their mergers and acquisitions at Cloud Expo. Product announcements during our show provide your company with the most reach through our targeted audiences.
Bill Schmarzo, author of "Big Data: Understanding How Data Powers Big Business" and "Big Data MBA: Driving Business Strategies with Data Science," is responsible for setting the strategy and defining the Big Data service offerings and capabilities for EMC Global Services Big Data Practice. As the CTO for the Big Data Practice, he is responsible for working with organizations to help them identify where and how to start their big data journeys. He's written several white papers, is an avid blogge...
DevOpsSummit New York 2018, colocated with CloudEXPO | DXWorldEXPO New York 2018 will be held November 11-13, 2018, in New York City. Digital Transformation (DX) is a major focus with the introduction of DXWorldEXPO within the program. Successful transformation requires a laser focus on being data-driven and on using all the tools available that enable transformation if they plan to survive over the long term.
When talking IoT we often focus on the devices, the sensors, the hardware itself. The new smart appliances, the new smart or self-driving cars (which are amalgamations of many ‘things'). When we are looking at the world of IoT, we should take a step back, look at the big picture. What value are these devices providing. IoT is not about the devices, its about the data consumed and generated. The devices are tools, mechanisms, conduits. This paper discusses the considerations when dealing with the...
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 ...
Bill Schmarzo, author of "Big Data: Understanding How Data Powers Big Business" and "Big Data MBA: Driving Business Strategies with Data Science" is responsible for guiding the technology strategy within Hitachi Vantara for IoT and Analytics. Bill brings a balanced business-technology approach that focuses on business outcomes to drive data, analytics and technology decisions that underpin an organization's digital transformation strategy.
Business professionals no longer wonder if they'll migrate to the cloud; it's now a matter of when. The cloud environment has proved to be a major force in transitioning to an agile business model that enables quick decisions and fast implementation that solidify customer relationships. And when the cloud is combined with the power of cognitive computing, it drives innovation and transformation that achieves astounding competitive advantage.
Sanjeev Sharma Joins November 11-13, 2018 @DevOpsSummit at @CloudEXPO New York Faculty. Sanjeev Sharma is an internationally known DevOps and Cloud Transformation thought leader, technology executive, and author. Sanjeev's industry experience includes tenures as CTO, Technical Sales leader, and Cloud Architect leader. As an IBM Distinguished Engineer, Sanjeev is recognized at the highest levels of IBM's core of technical leaders.
With 10 simultaneous tracks, keynotes, general sessions and targeted breakout classes, @CloudEXPO and DXWorldEXPO are two of the most important technology events of the year. Since its launch over eight years ago, @CloudEXPO and DXWorldEXPO have presented a rock star faculty as well as showcased hundreds of sponsors and exhibitors! In this blog post, we provide 7 tips on how, as part of our world-class faculty, you can deliver one of the most popular sessions at our events. But before reading...
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...
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 ...
This is going to be a live demo on a production ready CICD pipeline which automate the deployment of application onto AWS ECS and Fargate. The same pipeline will automate deployment into various environment such as Test, UAT, and Prod. The pipeline will go through various stages such as source, build, test, approval, UAT stage, Prod stage. The demo will utilize only AWS services including AWS CodeCommit, Codebuild, code pipeline, Elastic container service (ECS), ECR, and Fargate.
CloudEXPO New York 2018, colocated with DXWorldEXPO New York 2018 will be held November 11-13, 2018, in New York City and will bring together Cloud Computing, FinTech and Blockchain, Digital Transformation, Big Data, Internet of Things, DevOps, AI, Machine Learning and WebRTC to one location.
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.