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 Series Title: Employment Level: Nonagriculture, Government Wage and Salary Workers, 16-19 years, Women: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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 2012 04 47103·
 2012 03 499.
 2012 02 8083.
 2012 01 977·
 2011 12  4971.
 2011 11  6067·
 2011 10  486·
 2011 09  74116.
 2011 08  42106·
 2011 07  39152·
 2011 06  54143·
 2011 05  6380·
 2011 04  7787.
 2011 03  24102.
 2011 02  43101.
 2011 01  2090.
 2010 12 3080.
 2010 11 2095·
 2010 10 999.
 2010 09 14113·
 2010 08 0165.
 2010 07 60186.
 2010 06 15137.
 2010 05 39109·
 2010 04 12112·
 2010 03 098.
 2010 02 47108·
 2010 01 14114·
 2009 12  19109·
 2009 11  21131.
 2009 10  21115·
 2009 09  83107·
 2009 08  93165·
 2009 07  31203.
 2009 06  72169.
 2009 05  16132.
 2009 04  37152.
 2009 03  61135·
 2009 02  65136·
 2009 01  7115·
 2008 12 75112·
 2008 11 67120·
 2008 10 86119.
 2008 09 7498·
 2008 08 59152·
 2008 07 31227·
 2008 06 50173.
 2008 05 62131·
 2008 04 62125.
 2008 03 61153·
 2008 02 93136·
 2008 01 41123.
 2007 12  86180.
 2007 11  87148.
 2007 10  79139.
 2007 09  3151.
 2007 08  56153·
 2007 07  66230.
 2007 06  96206·
 2007 05  69137.
 2007 04  22122.
 2007 03  8096.
 2007 02  56106·
 2007 01  83128·
 2006 12 61119·
 2006 11 35143·
 2006 10 97115·
 2006 09 13130.
 2006 08 71169.
 2006 07 63204·
 2006 06 83138.
 2006 05 54120·
 2006 04 79142·
 2006 03 21134.
 2006 02 1138·
 2006 01 24136·
 2005 12  35152.
 2005 11  91132.
 2005 10  64139·
 2005 09  69128·
 2005 08  15185.
 2005 07  78229·
 2005 06  10151·
 2005 05  57119.
 2005 04  18121.
 2005 03  16111·
 2005 02  2124.
 2005 01  83136.
 2004 12 70137.
 2004 11 59150·
 2004 10 27164·
 2004 09 65123.
 2004 08 22162·
 2004 07 90188·
 2004 06 99147.
 2004 05 47107.
 2004 04 49117.
 2004 03 16146·
 2004 02 56126.
 2004 01 99117·
 2003 12  51141.
 2003 11  68130·
 2003 10  60120·
 2003 09  15108·
 2003 08  54196·
 2003 07  3260·
 2003 06  99154.
 2003 05  14112·
 2003 04  8155.
 2003 03  2147·
 2003 02  87198·
 2003 01  41169.
 2002 12 88153·
 2002 11 73151·
 2002 10 60156·
 2002 09 63147.
 2002 08 96211·
 2002 07 46218.
 2002 06 83163.
 2002 05 76120.
 2002 04 55149·
 2002 03 79187·
 2002 02 42179.
 2002 01 99161·
 2001 12  17139·
 2001 11  53121.
 2001 10  51159.
 2001 09  76164·
 2001 08  58183.
 2001 07  74246·
 2001 06  48199.
 2001 05  75145.
 2001 04  77149.
 2001 03  75148·
 2001 02  95172·
 2001 01  91156.
 2000 12 99179.
 2000 11 12159.
 2000 10 81185·
 2000 09 44163.
 2000 08 76204·
 2000 07 66237.
 2000 06 17262·
 2000 05 77209.
 2000 04 82200·
 2000 03 44186·
 2000 02 44204·
 2000 01 59186.
 1999 12  19179.
 1999 11  79175·
 1999 10  22182.
 1999 09  85167.
 1999 08  11235.
 1999 07  26268.
 1999 06  40197·
 1999 05  73148.
 1999 04  8197·
 1999 03  67188·
 1999 02  11164.
 1999 01  69143·
 1998 12 87170·
 1998 11 9171.
 1998 10 73177.
 1998 09 40145·
 1998 08 48210·
 1998 07 84273·
 1998 06 88196·
 1998 05 82169·
 1998 04 15182.
 1998 03 47149.
 1998 02 45166.
 1998 01 13177.
 1997 12  40182.
 1997 11  81181.
 1997 10  56165·
 1997 09  77144.
 1997 08  97235·
 1997 07  93286·
 1997 06  60200.
 1997 05  44130·
 1997 04  88152·
 1997 03  14154.
 1997 02  19162.
 1997 01  7171.
 1996 12 37179·
 1996 11 0181·
 1996 10 21159.
 1996 09 87151·
 1996 08 95177.
 1996 07 34242.
 1996 06 79169·
 1996 05 26122.
 1996 04 38124.
 1996 03 21127·
 1996 02 31142·
 1996 01 95137·
 1995 12  65135.
 1995 11  94149.
 1995 10  40137·
 1995 09  87126·
 1995 08  2183·
 1995 07  9224·
 1995 06  93154.
 1995 05  21126·
 1995 04  99122.
 1995 03  49150.
 1995 02  4159.
 1995 01  42161·
 1994 12 33168·
 1994 11 18160·
 1994 10 10134·
 1994 09 18117·
 1994 08 3236·
 1994 07 50270·
 1994 06 75174.
 1994 05 44136·
 1994 04 34140·
 1994 03 1158.
 1994 02 85136·
 1994 01 40123.
 1993 12  78140.
 1993 11  52163.
 1993 10  55128·
 1993 09  48131·
 1993 08  9177·
 1993 07  10280.
 1993 06  22184.
 1993 05  39154.
 1993 04  27145·
 1993 03  7112·
 1993 02  49164.
 1993 01  6120.
 1992 12 59127.
 1992 11 99148·
 1992 10 24154·
 1992 09 69137·
 1992 08 55248·
 1992 07 68273·
 1992 06 59169.
 1992 05 71128.
 1992 04 89143·
 1992 03 21142.
 1992 02 93183·
 1992 01 82158·
 1991 12  63169·
 1991 11  89177.
 1991 10  88177·
 1991 09  96166.
 1991 08  2192·
 1991 07  29293·
 1991 06  33210·
 1991 05  32167·
 1991 04  56175·
 1991 03  22177.
 1991 02  40199·
 1991 01  35150·
 1990 12 0156.
 1990 11 76153·
 1990 10 47153·
 1990 09 72149.
 1990 08 36171.
 1990 07 21289.
 1990 06 17209·
 1990 05 40177·
 1990 04 87180.
 1990 03 15208·
 1990 02 38205·
 1990 01 56155.
 1989 12  6156.
 1989 11  39167·
 1989 10  23180.
 1989 09  64135.
 1989 08  66253.
 1989 07  0281·
 1989 06  9192·
 1989 05  35145·
 1989 04  69166·
 1989 03  29173·
 1989 02  60166·
 1989 01  62155·
 1988 12 40184.
 1988 11 84152·
 1988 10 64153.
 1988 09 64135·
 1988 08 30212.
 1988 07 44276·
 1988 06 33219·
 1988 05 85165.
 1988 04 13197.
 1988 03 19162.
 1988 02 5177·
 1988 01 95157·
 1987 12  90160.
 1987 11  38168·
 1987 10  43154.
 1987 09  88115·
 1987 08  86253·
 1987 07  59281·
 1987 06  35201.
 1987 05  82172·
 1987 04  52189·
 1987 03  63163.
 1987 02  95168·
 1987 01  23166·
 1986 12 64171.
 1986 11 56175.
 1986 10 59185.
 1986 09 78159·
 1986 08 21235.
 1986 07 72338.
 1986 06 90229.
 1986 05 43160.
 1986 04 50191·
 1986 03 65213.
 1986 02 78183·
 1986 01 35166.
 1985 12  99169.
 1985 11  19166·
 1985 10  34210·
 1985 09  1181.
 1985 08  46215.
 1985 07  38320·
 1985 06  96204·
 1985 05  8123·
 1985 04  89153·
 1985 03  56170.
 1985 02  27183.
 1985 01  51183·
 1984 12 56190·
 1984 11 29188·
 1984 10 16182.
 1984 09 48182.
 1984 08 95237·
 1984 07 38303.
 1984 06 75204·
 1984 05 45148·
 1984 04 82167·
 1984 03 90170·
 1984 02 41183·
 1984 01 10170.
 1983 12  19192.
 1983 11  16196·
 1983 10  79210.
 1983 09  37159.
 1983 08  29313·
 1983 07  74390.
 1983 06  75263.
 1983 05  46164.
 1983 04  64183·
 1983 03  45189.
 1983 02  43218·
 1983 01  81187·
 1982 12 99216.
 1982 11 35207.
 1982 10 20197.
 1982 09 10172·
 1982 08 35276·
 1982 07 77337.
 1982 06 70193·
 1982 05 28172.
 1982 04 96189·
 1982 03 26212·
 1982 02 80206.
 1982 01 54216.
 1981 12  33228·
 1981 11  65220·
 1981 10  63215.
 1981 09  32192.
 1981 08  22333.
 1981 07  0409·
 1981 06  57273·
 1981 05  32246.
 1981 04  62261.
 1981 03  63274.
 1981 02  25282·
 1981 01  47289·
 1980 12 80290·
 1980 11 10293.
 1980 10 55288·
 1980 09 96251.
 1980 08 25389.
 1980 07 23483.
 1980 06 60293·
 1980 05 25263·
 1980 04 74277.
 1980 03 9310·
 1980 02 77292·
 1980 01 1286.
 1979 12  26317.
 1979 11  99327·
 1979 10  70307·
 1979 09  19249.
 1979 08  7364·
 1979 07  50476.
 1979 06  27299.
 1979 05  99297.
 1979 04  67280·
 1979 03  44287.
 1979 02  59293·
 1979 01  84292·
 1978 12 81305.
 1978 11 87299.
 1978 10 6290·
 1978 09 43283.
 1978 08 51493·
 1978 07 11492.
 1978 06 30328·
 1978 05 71284.
 1978 04 1306.
 1978 03 72288.
 1978 02 19320·
 1978 01 86265.
 1977 12  82256.
 1977 11  53267·
 1977 10  86234.
 1977 09  34211·
 1977 08  69415·
 1977 07  59502·
 1977 06  68320·
 1977 05  82248.
 1977 04  63263·
 1977 03  23267·
 1977 02  29274.
 1977 01  25260.
 1976 12 88263·
 1976 11 1266·
 1976 10 57239.
 1976 09 83228.
 1976 08 96428.
 1976 07 75522.
 1976 06 64312·
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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, Government Wage and Salary Workers, 16-19 years, 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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