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 Series Title: Employment Level: Nonagriculture, Private 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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 2012 04 4451203.
 2012 03 7651107·
 2012 02 5950723.
 2012 01 2650404.
 2011 12  3550162.
 2011 11  4650318.
 2011 10  2250491.
 2011 09  5550170·
 2011 08  1850261.
 2011 07  4050398.
 2011 06  1249980·
 2011 05  849932.
 2011 04  4249905·
 2011 03  3949698·
 2011 02  4049343·
 2011 01  2949508.
 2010 12 8350113.
 2010 11 4950005·
 2010 10 4549987.
 2010 09 8750009·
 2010 08 4250277.
 2010 07 350183·
 2010 06 8949546·
 2010 05 7649088.
 2010 04 4449443.
 2010 03 5749467·
 2010 02 6149476.
 2010 01 1549782·
 2009 12  3949668.
 2009 11  9249654.
 2009 10  7349480.
 2009 09  4949469.
 2009 08  349805·
 2009 07  1650382.
 2009 06  6450013.
 2009 05  4649758.
 2009 04  3650274.
 2009 03  6050478.
 2009 02  9550572·
 2009 01  050826.
 2008 12 6351603.
 2008 11 8051601·
 2008 10 5651634.
 2008 09 3251535·
 2008 08 3551441·
 2008 07 5951968·
 2008 06 5951893.
 2008 05 8451333·
 2008 04 2851611.
 2008 03 251571.
 2008 02 4151580·
 2008 01 2751928.
 2007 12  4152459·
 2007 11  4252226.
 2007 10  6651856·
 2007 09  5351736·
 2007 08  051655.
 2007 07  3551916.
 2007 06  2251610·
 2007 05  8350977·
 2007 04  5650904·
 2007 03  6351409.
 2007 02  2151442.
 2007 01  6151071.
 2006 12 8351700.
 2006 11 3351372.
 2006 10 251234.
 2006 09 5550663·
 2006 08 8251148·
 2006 07 7551476·
 2006 06 2651377·
 2006 05 6050853·
 2006 04 8050719·
 2006 03 4750679·
 2006 02 8350508·
 2006 01 9550223·
 2005 12  2550899.
 2005 11  3150604·
 2005 10  8550672·
 2005 09  450418·
 2005 08  9350319·
 2005 07  3250322·
 2005 06  7049960·
 2005 05  5649453·
 2005 04  8549399.
 2005 03  8349281.
 2005 02  149284·
 2005 01  4549247·
 2004 12 2749941.
 2004 11 4149534.
 2004 10 6649422·
 2004 09 9149063.
 2004 08 6849002.
 2004 07 8649510.
 2004 06 7749026·
 2004 05 3848991·
 2004 04 8448972·
 2004 03 2648878·
 2004 02 7348967.
 2004 01 5448430·
 2003 12  7549259.
 2003 11  9249224·
 2003 10  1648931·
 2003 09  3448345.
 2003 08  6748731·
 2003 07  4149157.
 2003 06  9449182·
 2003 05  9748901.
 2003 04  1048991·
 2003 03  5548972·
 2003 02  2148501·
 2003 01  8848332.
 2002 12 7948676·
 2002 11 3948292·
 2002 10 3348403·
 2002 09 7448333.
 2002 08 7648371·
 2002 07 2748303.
 2002 06 9548259.
 2002 05 5147807·
 2002 04 2447952.
 2002 03 7348277·
 2002 02 9348201.
 2002 01 3847909.
 2001 12  7648595·
 2001 11  6148523.
 2001 10  4148326·
 2001 09  7947991.
 2001 08  548108.
 2001 07  9748732·
 2001 06  7748651·
 2001 05  4248528.
 2001 04  1348543·
 2001 03  1248880·
 2001 02  6348542·
 2001 01  2248388·
 2000 12 2449004.
 2000 11 6248785.
 2000 10 8848696·
 2000 09 3948310.
 2000 08 9048442·
 2000 07 3148883.
 2000 06 6448594.
 2000 05 3648079.
 2000 04 8648171·
 2000 03 2347757·
 2000 02 2947704.
 2000 01 8247625·
 1999 12  1147987·
 1999 11  7247861·
 1999 10  4647608.
 1999 09  7246938·
 1999 08  9247158.
 1999 07  3347129.
 1999 06  446846·
 1999 05  2546800.
 1999 04  7946483·
 1999 03  8846785.
 1999 02  1446725·
 1999 01  8446565·
 1998 12 4747101.
 1998 11 4446561.
 1998 10 1446415.
 1998 09 2046128.
 1998 08 9646351.
 1998 07 3346420.
 1998 06 6946072.
 1998 05 2545938·
 1998 04 5345747.
 1998 03 1046154.
 1998 02 6545846.
 1998 01 2045480·
 1997 12  6746319·
 1997 11  5945847·
 1997 10  1545754·
 1997 09  4945430.
 1997 08  1345763·
 1997 07  8445969.
 1997 06  5845382.
 1997 05  8044811.
 1997 04  9344799·
 1997 03  1944848·
 1997 02  5644323.
 1997 01  744016·
 1996 12 3144802·
 1996 11 1944793.
 1996 10 9744694·
 1996 09 5144391.
 1996 08 7844466·
 1996 07 6744591·
 1996 06 9443966.
 1996 05 5443339·
 1996 04 1043156.
 1996 03 6943221·
 1996 02 8543020.
 1996 01 8742729·
 1995 12  2643592.
 1995 11  5643713.
 1995 10  3343454·
 1995 09  4343059·
 1995 08  5243630.
 1995 07  8543753·
 1995 06  2543162.
 1995 05  4142461·
 1995 04  3942422·
 1995 03  3842369.
 1995 02  7542426·
 1995 01  2642208·
 1994 12 6142947·
 1994 11 2243038·
 1994 10 2042742·
 1994 09 6642327·
 1994 08 2042796.
 1994 07 6842873·
 1994 06 2442504.
 1994 05 5741960.
 1994 04 4141673.
 1994 03 3341432.
 1994 02 7441562·
 1994 01 1641226·
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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 Industries 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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