Unemployment Rate By State January 2009
When looking for alternative energy jobs, you may want to consider the unemployment rate in the various states. This could indicate the availability of green energy jobs as well as others.
Unemployment Rate by State – January 2010
Figures are from the U.S. Bureau of Labor Statistics
Latest Numbers
Unemployment Rates, seasonally adjusted 
Alabama
11.1%(p) in Jan 2010
Historical Data
Alaska
8.5%(p) in Jan 2010
Historical Data
Arizona
9.2%(p) in Jan 2010
Historical Data
Arkansas
7.6%(p) in Jan 2010
Historical Data
California
12.5%(p) in Jan 2010
Historical Data
Colorado
7.4%(p) in Jan 2010
Historical Data
Connecticut
9.0%(p) in Jan 2010
Historical Data
Delaware
9.0%(p) in Jan 2010
Historical Data
D.C.
12.0%(p) in Jan 2010
Historical Data
Florida
11.9%(p) in Jan 2010
Historical Data
Georgia
10.4%(p) in Jan 2010
Historical Data
Hawaii
6.9%(p) in Jan 2010
Historical Data
Idaho
9.3%(p) in Jan 2010
Historical Data
Illinois
11.3%(p) in Jan 2010
Historical Data
Indiana
9.7%(p) in Jan 2010
Historical Data
Iowa
6.6%(p) in Jan 2010
Historical Data
Kansas
6.4%(p) in Jan 2010
Historical Data
Kentucky
10.7%(p) in Jan 2010
Historical Data
Louisiana
7.4%(p) in Jan 2010
Historical Data
Maine
8.2%(p) in Jan 2010
Historical Data
Maryland
7.5%(p) in Jan 2010
Historical Data
Massachusetts
9.5%(p) in Jan 2010
Historical Data
Michigan
14.3%(p) in Jan 2010
Historical Data
Minnesota
7.3%(p) in Jan 2010
Historical Data
Mississippi
10.9%(p) in Jan 2010
Historical Data
Missouri
9.5%(p) in Jan 2010
Historical Data
Montana
6.8%(p) in Jan 2010
Historical Data
Nebraska
4.6%(p) in Jan 2010
Historical Data
Nevada
13.0%(p) in Jan 2010
Historical Data
New Hampshire
7.0%(p) in Jan 2010
Historical Data
New Jersey
9.9%(p) in Jan 2010
Historical Data
New Mexico
8.5%(p) in Jan 2010
Historical Data
New York
8.8%(p) in Jan 2010
Historical Data
North Carolina
11.1%(p) in Jan 2010
Historical Data
North Dakota
4.2%(p) in Jan 2010
Historical Data
Ohio
10.8%(p) in Jan 2010
Historical Data
Oklahoma
6.7%(p) in Jan 2010
Historical Data
Oregon
10.7%(p) in Jan 2010
Historical Data
Pennsylvania
8.8%(p) in Jan 2010
Historical Data
Puerto Rico
15.9%(p) in Jan 2010
Historical Data
Rhode Island
12.7%(p) in Jan 2010
Historical Data
South Carolina
12.6%(p) in Jan 2010
Historical Data
South Dakota
4.8%(p) in Jan 2010
Historical Data
Tennessee
10.7%(p) in Jan 2010
Historical Data
Texas
8.2%(p) in Jan 2010
Historical Data
Utah
6.8%(p) in Jan 2010
Historical Data
Vermont
6.7%(p) in Jan 2010
Historical Data
Virginia
6.9%(p) in Jan 2010
Historical Data
Washington
9.3%(p) in Jan 2010
Historical Data
West Virginia
9.3%(p) in Jan 2010
Historical Data
Wisconsin
8.7%(p) in Jan 2010
Historical Data
Wyoming
7.6%(p) in Jan 2010
Historical Data
p- preliminary
Mar 5, 2010 — Jad Mouawad reports in
Mar 4, 2010 – A new train from Siemens will make transport at airports faster and more flexible. Airval — a driverless train that runs on tires — has a top speed of 80 kilometers per hour. The train’s transport capacity can be increased from 1,000 to 30,000 passengers per hour and per direction: If more passengers are waiting on a platform, trains can simply be extended in length or run more frequently. This flexible operation is possible thanks to the latest version of the Trainguard MT CBTC control system from Siemens. The train is very energy-efficient because it recovers all of its braking energy. A preliminary model has reduced the travel times between the three terminals of Charles de Gaulle Airport in Paris to 8 minutes, compared to the 20-minute bus ride. The train control system transmits all data, such as the position or speed of the train, in real time. This makes it possible to quickly adjust train length or time intervals between trains, instead of having to work with fixed distances between trains. Overcrowded rush hour trains can thus be avoided, as can the operation of night trains with lots of empty seats. Plans call for the train, under the name of Cityval, to also be available on the market as a subway train for large cities, starting around the end of 2010. The train from Siemens Mobility is very environmentally friendly. The electric motors in its tires take over the drive and braking functions, enabling the trains to recover all their braking energy. This is most effective when the braking and start-up procedures are optimally coordinated with each other. The energy that is recovered can be used to start up another train. Also new is the cost-efficient guide rail in the middle of the track. The rollers automatically follow the rails, guiding the car along the track. In addition to flexibility, another important consideration in the development of the airport train was passenger comfort. Big windows, air conditioning, and displays with a dynamic information system have been designed to make the journey as pleasant as possible.
Mar 4, 2010 – At the Geneva Motor Show (March 4 to 14) Siemens will present more key components for electric mobility. The company will present an integrated charging system and, at the stand of Ruf Automobile GmbH, a “dual motor” concept in a new version of the eRuf Greenster electric sports car. Electric mobility is also a focus at CeBIT in Hanover (until March 6). Here Siemens is working in a partnership with the Harz.EE-mobility project to connect electric cars to the smart grid. Siemens expects there will be more than one million electric cars on the road in the foreseeable future. And these vehicles will need many recharging stations in metropolitan areas. In order to implement this cost-efficiently, a central control station will be combined with a number of low-cost satellite charging stations. Such a system from Siemens is already in place in Geneva, where a central payment system activates the requested satellite charging station so that the vehicle can be charged. The data thus generated is then sent for processing to a computer at a control center, to facilitate billing by the energy supplier, for example. The system is especially well suited for locations where many cars are charged, such as public parking facilities or company parking lots. At CeBIT, Siemens will show how easy it is for a vehicle to “communicate” with the charging station — the user simply inserts the charger plug. This involves networking components that currently use different communication protocols — for example, the power grid, the vehicle’s onboard network, traffic information systems, and the system managing the electricity customer’s account data. This makes it possible to compare energy use with energy availability, enabling the smart grid to “know” how much energy is produced by which sources, and how much is used. Electric vehicles can then preferentially consume excess power from wind power facilities, for which there are no other consumers. Another element in this communication — which takes place between the charging station and the vehicle either by radio signals or directly through the charging cable via Powerline — is the payment process. At CeBIT, Siemens and Energy4U are presenting the management system and SAP system connection needed for this.


