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 Series Title: Employment Level: Educational services, Women: SA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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 2012 04 248640.
 2012 03 458698.
 2012 02 959011·
 2012 01 569017.
 2011 12  388944.
 2011 11  508810·
 2011 10  68811·
 2011 09  468876·
 2011 08  938814.
 2011 07  298759.
 2011 06  938858·
 2011 05  98943·
 2011 04  408911.
 2011 03  638946.
 2011 02  688940·
 2011 01  908839·
 2010 12 549008.
 2010 11 598981.
 2010 10 718896.
 2010 09 588967.
 2010 08 368883.
 2010 07 489053·
 2010 06 639231·
 2010 05 78951·
 2010 04 109094.
 2010 03 879101·
 2010 02 329022·
 2010 01 569128.
 2009 12  288930.
 2009 11  579144·
 2009 10  929184.
 2009 09  509038.
 2009 08  659088·
 2009 07  669264.
 2009 06  819259·
 2009 05  579314.
 2009 04  209282.
 2009 03  459170·
 2009 02  609004.
 2009 01  729090.
 2008 12 209141.
 2008 11 519232·
 2008 10 189304·
 2008 09 149273.
 2008 08 159453.
 2008 07 649186.
 2008 06 689223.
 2008 05 269084·
 2008 04 809131.
 2008 03 938998·
 2008 02 489075.
 2008 01 798993·
 2007 12  169001.
 2007 11  688895.
 2007 10  218827.
 2007 09  668953.
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 2005 05  898647.
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 2005 02  388357.
 2005 01  398310.
 2004 12 568282.
 2004 11 338194.
 2004 10 08190.
 2004 09 958243·
 2004 08 198217·
 2004 07 148433·
 2004 06 598583·
 2004 05 18470.
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 2004 03 398261·
 2004 02 528169.
 2004 01 288189·
 2003 12  228170·
 2003 11  408159·
 2003 10  438223.
 2003 09  688145·
 2003 08  868258·
 2003 07  748272.
 2003 06  198386.
 2003 05  418199·
 2003 04  528169.
 2003 03  238092·
 2003 02  938247.
 2003 01  928270·
 2002 12 948183.
 2002 11 938514.
 2002 10 38426.
 2002 09 898392·
 2002 08 138315·
 2002 07 158131.
 2002 06 127995·
 2002 05 268019.
 2002 04 347950.
 2002 03 478039.
 2002 02 88249·
 2002 01 238020·
 2001 12  88074.
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 2001 08  108175.
 2001 07  917968·
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 2001 05  977892.
 2001 04  417708.
 2001 03  418040·
 2001 02  718055.
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 2000 12 258077·
 2000 11 777955.
 2000 10 947861.
 2000 09 657744·
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 2000 02 807885.
 2000 01 787724.
 1999 12  307596.
 1999 11  427449·
 1999 10  457420·
 1999 09  287597.
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 1999 06  07781.
 1999 05  917671.
 1999 04  937698.
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 1999 02  587455·
 1999 01  117372.
 1998 12 347329·
 1998 11 197295.
 1998 10 567294·
 1998 09 567377.
 1998 08 67377·
 1998 07 437390.
 1998 06 587325·
 1998 05 227193.
 1998 04 357127·
 1998 03 67123.
 1998 02 527156·
 1998 01 277179·
 1997 12  717179.
 1997 11  897209·
 1997 10  507134·
 1997 09  167066.
 1997 08  917108.
 1997 07  07010·
 1997 06  916925·
 1997 05  576907·
 1997 04  936861.
 1997 03  706878.
 1997 02  366848·
 1997 01  456969·
 1996 12 47010·
 1996 11 567014·
 1996 10 756962·
 1996 09 986847·
 1996 08 746759.
 1996 07 386785.
 1996 06 206775.
 1996 05 626807.
 1996 04 786966·
 1996 03 256757·
 1996 02 86780·
 1996 01 56748·
 1995 12  176705·
 1995 11  476910.
 1995 10  46890·
 1995 09  216797·
 1995 08  156777·
 1995 07  626698.
 1995 06  946580.
 1995 05  296887·
 1995 04  256931.
 1995 03  506964·
 1995 02  916867.
 1995 01  746678.
 1994 12 206468.
 1994 11 196481.
 1994 10 346635·
 1994 09 256724·
 1994 08 26754.
 1994 07 06845.
 1994 06 856695·
 1994 05 756692.
 1994 04 956568.
 1994 03 506655.
 1994 02 336561·
 1994 01 456646.
 1993 12  506605.
 1993 11  506528·
 1993 10  906515.
 1993 09  786452.
 1993 08  426495.
 1993 07  86378·
 1993 06  936468·
 1993 05  426439.
 1993 04  736436·
 1993 03  546546.
 1993 02  76515·
 1993 01  346477·
 1992 12 676420.
 1992 11 456276.
 1992 10 186297.
 1992 09 716250.
 1992 08 746249.
 1992 07 636300.
 1992 06 406314·
 1992 05 976221·
 1992 04 706255·
 1992 03 156169.
 1992 02 116096.
 1992 01 826063.
 1991 12  566112·
 1991 11  336139·
 1991 10  936105.
 1991 09  216186.
 1991 08  566138·
 1991 07  726139.
 1991 06  746137.
 1991 05  316236·
 1991 04  226131.
 1991 03  146041·
 1991 02  686057·
 1991 01  585922.
 1990 12 286054.
 1990 11 676062·
 1990 10 126087.
 1990 09 706114·
 1990 08 756130·
 1990 07 626071·
 1990 06 695955·
 1990 05 615986.
 1990 04 885821.
 1990 03 555933·
 1990 02 265994·
 1990 01 526026·
 1989 12  196044·
 1989 11  286107·
 1989 10  986172.
 1989 09  856012.
 1989 08  415902·
 1989 07  885905·
 1989 06  215802.
 1989 05  295863·
 1989 04  565824.
 1989 03  675788·
 1989 02  595907·
 1989 01  815871.
 1988 12 885816·
 1988 11 205789.
 1988 10 995799·
 1988 09 575666.
 1988 08 895614.
 1988 07 305599·
 1988 06 545609·
 1988 05 25551·
 1988 04 345599.
 1988 03 45621·
 1988 02 635583·
 1988 01 875643.
 1987 12  235558·
 1987 11  725569.
 1987 10  885508·
 1987 09  35459·
 1987 08  815610·
 1987 07  925658.
 1987 06  175646.
 1987 05  725559·
 1987 04  595266.
 1987 03  455494·
 1987 02  635492·
 1987 01  365468.
 1986 12 325498·
 1986 11 395482·
 1986 10 645473.
 1986 09 665441·
 1986 08 15531·
 1986 07 35494·
 1986 06 825610.
 1986 05 555418·
 1986 04 915409.
 1986 03 965404·
 1986 02 75281·
 1986 01 225334·
 1985 12  535270.
 1985 11  985225·
 1985 10  495334.
 1985 09  115396.
 1985 08  615314.
 1985 07  175254·
 1985 06  485331·
 1985 05  935374·
 1985 04  165337.
 1985 03  845276.
 1985 02  665231·
 1985 01  605123·
 1984 12 445198.
 1984 11 565110·
 1984 10 925113·
 1984 09 325041·
 1984 08 954994·
 1984 07 144904.
 1984 06 374991·
 1984 05 535210.
 1984 04 455118.
 1984 03 665214.
 1984 02 405200.
 1984 01 925080.
 1983 12  935098.
 1983 11  415092.
 1983 10  655016·
 1983 09  435048.
 1983 08  654959.
 1983 07  985003·
 1983 06  974948·
 1983 05  264960.
 1983 04  124961.
 1983 03  184910·
 1983 02  525009·
 1983 01  855055.
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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: Educational services, Women: SA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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