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 Series Title: Employment Level: Nonagriculture, Private Households Wage and Salary Workers, Men: NSA
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 2012 04 5059.
 2012 03 5954·
 2012 02 3968·
 2012 01 1273.
 2011 12  2468·
 2011 11  2195·
 2011 10  5497.
 2011 09  269·
 2011 08  2687·
 2011 07  4484.
 2011 06  3251.
 2011 05  5470.
 2011 04  864·
 2011 03  1093.
 2011 02  8787·
 2011 01  1065·
 2010 12 4562.
 2010 11 2545·
 2010 10 5538·
 2010 09 4149·
 2010 08 3673·
 2010 07 2074·
 2010 06 165·
 2010 05 4172·
 2010 04 857·
 2010 03 5457·
 2010 02 1265.
 2010 01 2968·
 2009 12  1197·
 2009 11  675·
 2009 10  168·
 2009 09  4893.
 2009 08  2085.
 2009 07  85100.
 2009 06  5100·
 2009 05  6877·
 2009 04  3647.
 2009 03  2050·
 2009 02  8846.
 2009 01  8348·
 2008 12 8362·
 2008 11 7090·
 2008 10 37100·
 2008 09 1372.
 2008 08 1375·
 2008 07 1681.
 2008 06 6661.
 2008 05 170.
 2008 04 055·
 2008 03 6452.
 2008 02 1365·
 2008 01 1762.
 2007 12  46105.
 2007 11  4676.
 2007 10  3979.
 2007 09  5467.
 2007 08  7560·
 2007 07  1855.
 2007 06  3450.
 2007 05  3374.
 2007 04  38100·
 2007 03  6379.
 2007 02  996.
 2007 01  9672·
 2006 12 1171·
 2006 11 8753.
 2006 10 451.
 2006 09 1376·
 2006 08 9361.
 2006 07 2285.
 2006 06 8067.
 2006 05 7960·
 2006 04 1039·
 2006 03 2346.
 2006 02 2648.
 2006 01 1268·
 2005 12  1354.
 2005 11  7447.
 2005 10  5445.
 2005 09  5786·
 2005 08  77100.
 2005 07  80107·
 2005 06  377.
 2005 05  8249.
 2005 04  155.
 2005 03  7345·
 2005 02  3560·
 2005 01  8282.
 2004 12 1363.
 2004 11 1063·
 2004 10 3945·
 2004 09 7679.
 2004 08 6297.
 2004 07 7268.
 2004 06 2656·
 2004 05 932.
 2004 04 2359.
 2004 03 6757·
 2004 02 3651.
 2004 01 4856.
 2003 12  9665.
 2003 11  2568·
 2003 10  3063.
 2003 09  8949.
 2003 08  858·
 2003 07  388.
 2003 06  9778.
 2003 05  5052·
 2003 04  949.
 2003 03  8455·
 2003 02  5042·
 2003 01  7643·
 2002 12 7450·
 2002 11 7365·
 2002 10 2774·
 2002 09 3669.
 2002 08 377·
 2002 07 2101.
 2002 06 90104·
 2002 05 24130·
 2002 04 2173·
 2002 03 2856.
 2002 02 2756·
 2002 01 5961·
 2001 12  8074.
 2001 11  3376.
 2001 10  5179.
 2001 09  8681.
 2001 08  5567.
 2001 07  2381·
 2001 06  159·
 2001 05  7235.
 2001 04  4549·
 2001 03  3058.
 2001 02  3950·
 2001 01  1349·
 2000 12 7751·
 2000 11 1057.
 2000 10 5277·
 2000 09 2870.
 2000 08 185·
 2000 07 4662·
 2000 06 5468.
 2000 05 6164.
 2000 04 9184·
 2000 03 4397·
 2000 02 8475.
 2000 01 8063·
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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, Private Households Wage and Salary Workers, Men: 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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