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 Series Title: Employment Level: Nonagriculture, Other Industries Wage and Salary Workers, Women: NSA
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 2012 04 562466.
 2012 03 632543.
 2012 02 852608.
 2012 01 442516.
 2011 12  852505·
 2011 11  552432·
 2011 10  52367.
 2011 09  142425·
 2011 08  422384·
 2011 07  82314·
 2011 06  882345·
 2011 05  452205.
 2011 04  792219.
 2011 03  32228·
 2011 02  472197·
 2011 01  812243.
 2010 12 702374·
 2010 11 482349.
 2010 10 202350·
 2010 09 922371.
 2010 08 162379.
 2010 07 732351·
 2010 06 712319·
 2010 05 712232.
 2010 04 432283·
 2010 03 362334·
 2010 02 862296.
 2010 01 382348·
 2009 12  02355.
 2009 11  182292·
 2009 10  792428·
 2009 09  372362.
 2009 08  642302.
 2009 07  262362·
 2009 06  882361·
 2009 05  372357·
 2009 04  342399·
 2009 03  922368.
 2009 02  762277.
 2009 01  322285.
 2008 12 362224·
 2008 11 712243·
 2008 10 302429·
 2008 09 422468.
 2008 08 212501.
 2008 07 472583.
 2008 06 642456·
 2008 05 92384.
 2008 04 632303·
 2008 03 242228·
 2008 02 152185·
 2008 01 52248.
 2007 12  632406.
 2007 11  362507.
 2007 10  462417·
 2007 09  222394·
 2007 08  472349·
 2007 07  382412.
 2007 06  452385.
 2007 05  802292.
 2007 04  652319.
 2007 03  132257.
 2007 02  262240.
 2007 01  232137·
 2006 12 922242·
 2006 11 662315·
 2006 10 252395.
 2006 09 202380.
 2006 08 292295·
 2006 07 302381·
 2006 06 62291·
 2006 05 652434.
 2006 04 12608·
 2006 03 622494·
 2006 02 562450·
 2006 01 782342·
 2005 12  582376·
 2005 11  422355.
 2005 10  892487.
 2005 09  22380.
 2005 08  772383.
 2005 07  782508·
 2005 06  432418·
 2005 05  72395·
 2005 04  562245·
 2005 03  12189.
 2005 02  802182·
 2005 01  872253·
 2004 12 222384.
 2004 11 672286.
 2004 10 882395·
 2004 09 612411.
 2004 08 262290·
 2004 07 592372.
 2004 06 802344·
 2004 05 732401·
 2004 04 412348.
 2004 03 832256.
 2004 02 942187.
 2004 01 922189·
 2003 12  702234.
 2003 11  712299·
 2003 10  932367·
 2003 09  132282.
 2003 08  362198·
 2003 07  792185·
 2003 06  652309·
 2003 05  542190·
 2003 04  922295·
 2003 03  892318.
 2003 02  232178.
 2003 01  602242.
 2002 12 112223·
 2002 11 82187.
 2002 10 42266.
 2002 09 992218·
 2002 08 952135.
 2002 07 672246·
 2002 06 722234·
 2002 05 672245·
 2002 04 682279.
 2002 03 232163·
 2002 02 142356.
 2002 01 822361·
 2001 12  822314.
 2001 11  582326.
 2001 10  432177·
 2001 09  882084·
 2001 08  112039.
 2001 07  772113·
 2001 06  971999.
 2001 05  542180.
 2001 04  562306·
 2001 03  142339·
 2001 02  392327.
 2001 01  752266·
 2000 12 432269·
 2000 11 242163·
 2000 10 582181.
 2000 09 692142.
 2000 08 212127·
 2000 07 892088·
 2000 06 652117·
 2000 05 812110·
 2000 04 662162·
 2000 03 162205·
 2000 02 982183·
 2000 01 812074·
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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: Employment Level: Nonagriculture, Other Industries Wage and Salary Workers, Women: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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