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 Series Title: Employment Level: Nonagriculture, Private Households Wage and Salary Workers, Women: NSA
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 2012 04 96666·
 2012 03 1603·
 2012 02 91553·
 2012 01 9496.
 2011 12  17571.
 2011 11  83579.
 2011 10  75674.
 2011 09  91687·
 2011 08  11682.
 2011 07  71737.
 2011 06  66715.
 2011 05  79729.
 2011 04  28607.
 2011 03  45602·
 2011 02  77600.
 2011 01  16545·
 2010 12 43573·
 2010 11 11606.
 2010 10 46524·
 2010 09 70548.
 2010 08 56605.
 2010 07 3618.
 2010 06 36632·
 2010 05 38626·
 2010 04 94654.
 2010 03 75677.
 2010 02 35602.
 2010 01 36620·
 2009 12  7639.
 2009 11  11701·
 2009 10  55635.
 2009 09  10697·
 2009 08  69774·
 2009 07  16823·
 2009 06  34808.
 2009 05  29702.
 2009 04  82670.
 2009 03  22688.
 2009 02  36673·
 2009 01  87701·
 2008 12 70720.
 2008 11 87746.
 2008 10 49740·
 2008 09 3748.
 2008 08 85723.
 2008 07 90792·
 2008 06 84801·
 2008 05 21704·
 2008 04 0725·
 2008 03 40692.
 2008 02 81698.
 2008 01 11725.
 2007 12  18698·
 2007 11  68683·
 2007 10  1681.
 2007 09  66757·
 2007 08  64759.
 2007 07  30801.
 2007 06  34788.
 2007 05  5737·
 2007 04  86719·
 2007 03  8780.
 2007 02  91761.
 2007 01  73677.
 2006 12 62651·
 2006 11 9679.
 2006 10 11700·
 2006 09 40695.
 2006 08 92803·
 2006 07 64841·
 2006 06 56756·
 2006 05 98741·
 2006 04 0780.
 2006 03 30726·
 2006 02 14764.
 2006 01 67771·
 2005 12  37728.
 2005 11  88703·
 2005 10  99767·
 2005 09  92775·
 2005 08  79850·
 2005 07  46804·
 2005 06  49764.
 2005 05  41673.
 2005 04  26721·
 2005 03  35717·
 2005 02  25718.
 2005 01  8718.
 2004 12 4726·
 2004 11 11716.
 2004 10 16683·
 2004 09 14708·
 2004 08 62767·
 2004 07 57750.
 2004 06 35747.
 2004 05 1651.
 2004 04 76668·
 2004 03 78710.
 2004 02 20740.
 2004 01 39756·
 2003 12  47714·
 2003 11  7707·
 2003 10  33694.
 2003 09  23735·
 2003 08  0807.
 2003 07  99823.
 2003 06  63768.
 2003 05  70681.
 2003 04  85666·
 2003 03  38621·
 2003 02  23596.
 2003 01  26649.
 2002 12 78679.
 2002 11 29735·
 2002 10 50722.
 2002 09 60682·
 2002 08 80684.
 2002 07 4686.
 2002 06 7680.
 2002 05 65568.
 2002 04 14658.
 2002 03 19671·
 2002 02 82694·
 2002 01 62702.
 2001 12  33762.
 2001 11  57741.
 2001 10  88701·
 2001 09  93617·
 2001 08  11596·
 2001 07  24618·
 2001 06  63583.
 2001 05  28575·
 2001 04  48586.
 2001 03  52647.
 2001 02  69574.
 2001 01  62568·
 2000 12 71641.
 2000 11 96541·
 2000 10 96579·
 2000 09 13581·
 2000 08 29524.
 2000 07 40623.
 2000 06 54709·
 2000 05 25674·
 2000 04 98700.
 2000 03 89730·
 2000 02 84733·
 2000 01 69735·
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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, Women: 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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