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 Series Title: Women, employed government wage and salary workers in Durable goods: NSA
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 2000 01 486·
 2000 02 5513.
 2000 03 355·
 2000 04 3912·
 2000 05 4423.
 2000 06 2918.
 2000 07 7513·
 2000 08 9311·
 2000 09 7516·
 2000 10 7012.
 2000 11 8517.
 2000 12 1521.
 2001 01  9222.
 2001 02  5919·
 2001 03  7817.
 2001 04  497.
 2001 05  704.
 2001 06  48.
 2001 07  908.
 2001 08  6427·
 2001 09  89·
 2001 10  3614.
 2001 11  8713.
 2001 12  5316.
 2002 01 3415·
 2002 02 1211·
 2002 03 5419.
 2002 04 3612·
 2002 05 9718·
 2002 06 1418·
 2002 07 623.
 2002 08 5717.
 2002 09 7211·
 2002 10 4717.
 2002 11 797.
 2002 12 8618.
 2003 01  6016·
 2003 02  4514.
 2003 03  3811·
 2003 04  1629·
 2003 05  8619.
 2003 06  6226.
 2003 07  6920·
 2003 08  6615.
 2003 09  016·
 2003 10  8216·
 2003 11  8611.
 2003 12  8113·
 2004 01 7914.
 2004 02 1012.
 2004 03 279.
 2004 04 3015.
 2004 05 2216.
 2004 06 787·
 2004 07 546.
 2004 08 77·
 2004 09 55
 2004 10 4312·
 2004 11 558.
 2004 12 328.
 2005 01  288.
 2005 02  8710.
 2005 03  4319.
 2005 04  4722.
 2005 05  1627·
 2005 06  1624·
 2005 07  578.
 2005 08  237·
 2005 09  2111·
 2005 10  629·
 2005 11  5916·
 2005 12  5318.
 2006 01 6714.
 2006 02 8212·
 2006 03 3616.
 2006 04 5712.
 2006 05 418·
 2006 06 5617·
 2006 07 3
 2006 08 7819·
 2006 09 915·
 2006 10 9212·
 2006 11 9611·
 2006 12 8720·
 2007 01  8132.
 2007 02  2217.
 2007 03  7913.
 2007 04  776.
 2007 05  460·
 2007 06  14·
 2007 07  398.
 2007 08  6714·
 2007 09  5519.
 2007 10  1319.
 2007 11  8917·
 2007 12  125·
 2008 01 8224·
 2008 02 6222·
 2008 03 6813.
 2008 04 495.
 2008 05 288.
 2008 06 8214.
 2008 07 387·
 2008 08 410·
 2008 09 1916·
 2008 10 2819·
 2008 11 8724.
 2008 12 8629.
 2009 01  423·
 2009 02  8216·
 2009 03  2813·
 2009 04  4011.
 2009 05  6017.
 2009 06  5219·
 2009 07  9817.
 2009 08  3311·
 2009 09  8619.
 2009 10  6717·
 2009 11  6214.
 2009 12  6010·
 2010 01 911.
 2010 02 8619·
 2010 03 610·
 2010 04 4121.
 2010 05 7815.
 2010 06 9018.
 2010 07 4321·
 2010 08 1917·
 2010 09 6825·
 2010 10 8530.
 2010 11 1231·
 2010 12 6425·
 2011 01  8115.
 2011 02  310·
 2011 03  759·
 2011 04  7016.
 2011 05  4118·
 2011 06  119.
 2011 07  2127·
 2011 08  5622.
 2011 09  025·
 2011 10  6127.
 2011 11  6130·
 2011 12  6525.
 2012 01 3219.


 2012 02 8823.
 2012 03 3425·
 2012 04 6825.
 2012 05 3718·
 2012 06 1513.
 2012 07 313.
 2012 08 5824.
 2012 09 4220.
 2012 10 9822.
 2012 11 5622·
 2012 12 5521·
 2013 01  9610·
 2013 02  1913.
 2013 03  622·
 2013 04  221·
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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: Women, employed government wage and salary workers in Durable goods: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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