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 Series Title: Unemployment Rate: Manufacturing Industry, Private Wage and Salary Workers: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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 2012 04 326·9
 2012 03 937.6
 2012 02 498·4
 2012 01 338.4
 2011 12  37·9
 2011 11  187.7
 2011 10  427.7
 2011 09  678·4
 2011 08  658·9
 2011 07  669·2
 2011 06  619·2
 2011 05  259·6
 2011 04  699·4
 2011 03  209·7
 2011 02  199.9
 2011 01  509·9
 2010 12 9010·0
 2010 11 859.9
 2010 10 549·5
 2010 09 139·6
 2010 08 299·5
 2010 07 9310·0
 2010 06 289.9
 2010 05 610.3
 2010 04 1011.1
 2010 03 212·6
 2010 02 2912.1
 2010 01 5013·0
 2009 12  8511·9
 2009 11  9212.5
 2009 10  7112·2
 2009 09  8811·9
 2009 08  2811.8
 2009 07  7112·4
 2009 06  9112·6
 2009 05  9012.6
 2009 04  4112.4
 2009 03  6912·2
 2009 02  5311.5
 2009 01  5010·9
 2008 12 488.3
 2008 11 447.0
 2008 10 436.2
 2008 09 866.0
 2008 08 05.7
 2008 07 775.5
 2008 06 755·2
 2008 05 435·3
 2008 04 724·8
 2008 03 765·0
 2008 02 875·0
 2008 01 905·1
 2007 12  654.6
 2007 11  704.5
 2007 10  424·3
 2007 09  214.1
 2007 08  43.6
 2007 07  183.7
 2007 06  284.0
 2007 05  563·9
 2007 04  394·6
 2007 03  14.5
 2007 02  574.7
 2007 01  384·6
 2006 12 464·0
 2006 11 254·3
 2006 10 673.7
 2006 09 373.8
 2006 08 254·1
 2006 07 224.4
 2006 06 213.8
 2006 05 474.1
 2006 04 24·5
 2006 03 494.1
 2006 02 84.9
 2006 01 864.6
 2005 12  274·5
 2005 11  874.9
 2005 10  404.8
 2005 09  04.7
 2005 08  754.7
 2005 07  435·3
 2005 06  544.4
 2005 05  564.5
 2005 04  474.8
 2005 03  495.3
 2005 02  155.3
 2005 01  515.3
 2004 12 685·1
 2004 11 615·4
 2004 10 95.3
 2004 09 15.0
 2004 08 884·9
 2004 07 616·0
 2004 06 505·6
 2004 05 525.6
 2004 04 845·8
 2004 03 566.3
 2004 02 756·3
 2004 01 736.4
 2003 12  555.9
 2003 11  775.9
 2003 10  486.0
 2003 09  586·8
 2003 08  266.7
 2003 07  806.9
 2003 06  567.0
 2003 05  266·5
 2003 04  496.7
 2003 03  486.8
 2003 02  126.7
 2003 01  217.2
 2002 12 986.6
 2002 11 886.3
 2002 10 555·9
 2002 09 126·1
 2002 08 746.2
 2002 07 306·6
 2002 06 466·6
 2002 05 946.6
 2002 04 37·2
 2002 03 317·3
 2002 02 747·0
 2002 01 867·4
 2001 12  346.3
 2001 11  746·0
 2001 10  525·8
 2001 09  315·4
 2001 08  435.5
 2001 07  645·6
 2001 06  175·0
 2001 05  994.7
 2001 04  304·4
 2001 03  334.9
 2001 02  334.6
 2001 01  844·6
 2000 12 223.3
 2000 11 393.4
 2000 10 883.6
 2000 09 53.4
 2000 08 673·4
 2000 07 623·6
 2000 06 933·1
 2000 05 73·4
 2000 04 433·7
 2000 03 93·6
 2000 02 883.4
 2000 01 583.6
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US Unemployment Rate: Alternative Measures of Labor Underutilization

Charts

Unemployment Rate: US Unemployment Rate: Alternative Measures of Labor Underutilization
Unemployment Rate: Gender
Unemployment Rate: Black: Gender
Unemployment Rate: White: Gender
Unemployment Rate: Race
Unemployment Rate: Age: 16/25/35/45/55
Unemployment Rate: Education
Unemployment Rate: Nonagricultural Industry
Unemployment Rate: Job Category
Median Weeks Unemployed: Age
Median Weeks Unemployed: Race


The US Labor Force Dataset from the BLS contains nearly 15,000 series.
These series are subcategories of the popular series of:

Civilian Labor Force (subcategories)
Employment Level (subcategories)
Unemployment Level (subcategories)
US Unemployment Rate (subcategories)
Population (subcategories)
Employment-Population Ratio (subcategories)
Median Weeks Unemployed (subcategories)
Percent Distribution (subcategories)
Average Hours At Work (subcategories)
Of Total Unemployed (subcategories)

These basic measures are augmented by:

Population
Labor Force Participation Rate
Employment-Population Ratio
Not in Labor Force
Number at work
Average hours at work
Multiple jobholders
Average number of search methods used
Number At work part-time

These series can be subdivided by:

Sex:

Male
Female

Race and Ethnicity:

White
Black
Hispanic
Mexican
Puerto Rican
Cuban

Age:

16 years and over (default)
14_yrs._&_over
16-17_yrs.
16-19_yrs.
16-21_yrs.
16-24_yrs.
18-19_yrs.
20_yrs._&_over
20-24_yrs.
20-64_yrs.
25_yrs._&_over
25-29_yrs.
25-34_yrs.
25-54_yrs.
25-59_yrs.
30-34_yrs.
35-39_yrs.
35-44_yrs.
40-44_yrs.
45_yrs._&_over
45-49_yrs.
45-54_yrs.
50-54_yrs.
55_yrs._&_over
55-59_yrs.
55-64_yrs.
60-61_yrs.
60-64_yrs.
62-64_yrs.
65_yrs._&_over
65-69_yrs.
70_yrs._&_over

Class Of Worker:

Wage_And_Salary_Workers
Private_Wage_And_Salary_Workers
Government_Wage_And_Salary_Workers
Self-employed_Workers
Unpaid_Family_Workers

Industry:

Agriculture_Service
Furniture_And_Fixtures
Motor_Vehicles_&_Motor_Vehicle_Equipment
Aircraft
Tobacco
Eating_And_Drinking
Private_Households
Hospital
Postal
Federal
State
Local
Goods_Producing
Service_Producing
Agriculture_(Excludes_Forestry_And_Fisheries)
Forestry_And_Fisheries
Nonagricultural
Mining
Construction
Manufacturing
Manufacturing,_Durables
Lumber_And_Wood_Products,_Except_Furniture
Stone,_Clay,_And_Glass_Products
Primary_Metal
Fabricated_Metal
Machinery
Electrical_machinery,_equipment,_&_supplies
Transportation_Equipment
Professional_&_photographic_equipment_&_watches
Other_transportation_equipment
Fabricated_Metals
Manufacturing,_Nondurables
Food_And_Kindred_Products
Textile_Mill_Products
Apparel_And_Other_Fabricated_Textile_Products
Paper_And_Allied_Products
Printing,_Publishing,_And_Allied_Industries
Chemicals_And_Allied_Products
Petroleum_And_Coal_Products
Rubber_And_Miscellaneous_Plastic_Products
Leather_And_Leather_Products
Transportation,_Communication,_And_Other_Public_Utilities
Transportation
Transportation_Other_Than_Railroad_And_Railway_Express
Communications_And_Other_Public_Utilities
Communications
Trade
Wholesale_Trade
Retail_Trade
Service_Industries
Finance,_Insurance,_And_Real_Estate
Insurance_And_Real_Estate
Banking_And_Other_Financial_Organizations
Business_And_Repair_Services
Businesses
Repair_Services
Personal_Services
Entertainment_And_Recreation_Services
Professional_And_Related_Services
Medical
Educational_Services
Welfare_And_Religious_Services
Public_Administration

Occupation:

Managerial_&_professional_specialty_occupation
Executive,_administration,_&_managerial
Officials_&_administration,_public_administation
Management_Related_Occupations
Professional_Specialty_Occupations
Engineers
Math_&_Computer_Scientists
Natural_scientists
Health_Diagnosing_Occupations
Health_Assessment_&_Treating
Teachers,_college_&_university
Lawyers_&_Judges
Technical,_sales,_administration_support
Technicians_&_related_support_occupations
Health_technologists_&_technicians
Engineering_&_science_technicians
Technicians
Sales_Occupations
Supervisors_&_Proprietors
Sales_reps,_finance_&_business_services
Sales_reps,_commodities
Sales,_retail_&_personal
Sales_Related_Occupations
Administrative_support
Supervisors
Computer_Equipment_Operators
Secretaries,_stenographers,_&_typists
Financial_Records_Processing
Mail_&_Message_Distributing
Service_Occupation
Private_Household
Protective_Services
Food_Service
Health_Service
Cleaning_&_Building_Service
Personal_Service
Precision_Production,_Craft,_Repair
Mechanics_&_Repairers
Construction_Trades
Operators,_Fabricators,_Laborers
Machine_operators,_assemblers,_inspectors
Operators_&_tenders
Fabricators,_assemblers,_inspectors,_samplers
Transportation,_material_moving
Motor_vehicle_operators
Handlers,_equipment_cleaners,_helpers,_laborers
Construction_Laborers
Freight,_stock_material_handlers
Farming,_Forestry,_Fishing
Farm_Operators_&_Managers
Farm_workers_&_related_occupations
Forestry_&_fishing_occupations

Input your search text below.
or alter the examples after this blank template.







      Example 1: Get Unemployment Rates for people in Computer jobs







      Example 2: Get Employment Data for Workers in the "Retail Trade" Industry







      Example 3: Get Population Level Data for Workers





 Series Title: Unemployment Rate: Manufacturing Industry, Private Wage and Salary Workers: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
   Transform this series  |  Display series in COPY/PASTE format  |  More series like this one

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