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 Series Title: Number Unemployed for 27-51 Weeks 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 04 163.
 2012 03 7087.
 2012 02 5752.
 2012 01 3850.
 2011 12  1641·
 2011 11  9445.
 2011 10  7945·
 2011 09  655.
 2011 08  9151·
 2011 07  1054.
 2011 06  9555·
 2011 05  6667.
 2011 04  7748.
 2011 03  042.
 2011 02  1941.
 2011 01  6275.
 2010 12 4982.
 2010 11 7151.
 2010 10 8959·
 2010 09 6439.
 2010 08 735.
 2010 07 5360.
 2010 06 6750.
 2010 05 6741·
 2010 04 7743·
 2010 03 560·
 2010 02 4177·
 2010 01 8854·
 2009 12  957.
 2009 11  644·
 2009 10  2467·
 2009 09  7249·
 2009 08  7833.
 2009 07  6558.
 2009 06  5455·
 2009 05  8847.
 2009 04  8560.
 2009 03  1364·
 2009 02  9538·
 2009 01  3139·
 2008 12 5535·
 2008 11 627·
 2008 10 3215·
 2008 09 2026.
 2008 08 3929·
 2008 07 2630·
 2008 06 8127·
 2008 05 9840.
 2008 04 1225.
 2008 03 7930·
 2008 02 7821·
 2008 01 3532·
 2007 12  7411.
 2007 11  9823.
 2007 10  8711.
 2007 09  2421.
 2007 08  5127·
 2007 07  3915.
 2007 06  9528·
 2007 05  8610·
 2007 04  9322·
 2007 03  8310.
 2007 02  1519.
 2007 01  6517.
 2006 12 7612.
 2006 11 3727.
 2006 10 8511.
 2006 09 2814·
 2006 08 9919·
 2006 07 3429.
 2006 06 6912.
 2006 05 7119·
 2006 04 8916.
 2006 03 2835.
 2006 02 5319·
 2006 01 1323.
 2005 12  9612·
 2005 11  310.
 2005 10  5120·
 2005 09  9828.
 2005 08  9523.
 2005 07  6518.
 2005 06  124.
 2005 05  9419.
 2005 04  8635·
 2005 03  4538.
 2005 02  6523·
 2005 01  9721.
 2004 12 9613·
 2004 11 021·
 2004 10 3219·
 2004 09 2413.
 2004 08 7328·
 2004 07 1127·
 2004 06 1429.
 2004 05 2225.
 2004 04 9420·
 2004 03 8648.
 2004 02 4931.
 2004 01 5740·
 2003 12  6025.
 2003 11  5626·
 2003 10  124·
 2003 09  2621·
 2003 08  9426·
 2003 07  7824·
 2003 06  5626.
 2003 05  4633·
 2003 04  4933.
 2003 03  3332.
 2003 02  2949·
 2003 01  6227.
 2002 12 9922·
 2002 11 2725·
 2002 10 5622.
 2002 09 4320.
 2002 08 447·
 2002 07 9319·
 2002 06 124.
 2002 05 8312.
 2002 04 1122.
 2002 03 8823.
 2002 02 5226·
 2002 01 220.
 2001 12  4924.
 2001 11  9226.
 2001 10  2119·
 2001 09  4310.
 2001 08  3412.
 2001 07  1218.
 2001 06  4717·
 2001 05  7614·
 2001 04  6616.
 2001 03  8121.
 2001 02  9124.
 2001 01  957.
 2000 12 7011·
 2000 11 5412·
 2000 10 433·
 2000 09 1815·
 2000 08 9812.
 2000 07 1417.
 2000 06 154·
 2000 05 9114·
 2000 04 2414·
 2000 03 6713·
 2000 02 4511·
 2000 01 811·
 1999 12  486·
 1999 11  4417·
 1999 10  969·
 1999 09  85
 1999 08  9712·
 1999 07  313·
 1999 06  5525.
 1999 05  1921·
 1999 04  2011·
 1999 03  2436.
 1999 02  3618.
 1999 01  2922.
 1998 12 9426.
 1998 11 1525·
 1998 10 77
 1998 09 849·
 1998 08 1719·
 1998 07 820·
 1998 06 409.
 1998 05 7816.
 1998 04 1726·
 1998 03 5831·
 1998 02 1329·
 1998 01 3030.
 1997 12  4218.
 1997 11  4715.
 1997 10  1015·
 1997 09  8423.
 1997 08  6924.
 1997 07  8327.
 1997 06  6728·
 1997 05  940.
 1997 04  9837.
 1997 03  9737·
 1997 02  4926·
 1997 01  020.
 1996 12 5421.
 1996 11 459.
 1996 10 4217.
 1996 09 7612·
 1996 08 884·
 1996 07 922.
 1996 06 6018.
 1996 05 8029·
 1996 04 7427.
 1996 03 9551.
 1996 02 4129.
 1996 01 8246.
 1995 12  1515.
 1995 11  3617·
 1995 10  471.
 1995 09  767.
 1995 08  3430.
 1995 07  8829·
 1995 06  6762·
 1995 05  8150.
 1995 04  8277·
 1995 03  3348·
 1995 02  1221·
 1995 01  4224.
 1994 12 3520.
 1994 11 7720·
 1994 10 2329.
 1994 09 279·
 1994 08 93
 1994 07 5115·
 1994 06 6032·
 1994 05 3031.
 1994 04 8143.
 1994 03 1433.
 1994 02 1218.
 1994 01 7218.
 1993 11  5011.
 1993 10  4510.
 1993 09  9210.
 1993 08  956·
 1993 07  7610·
 1993 06  5213·
 1993 05  3817·
 1993 04  6913.
 1993 03  5838.
 1993 02  6717.
 1993 01  125.
 1992 12 88
 1992 11 2218·
 1992 10 4615·
 1992 09 310·
 1992 08 723·
 1992 07 187.
 1992 06 7025.
 1992 05 2335·
 1992 04 6424.
 1992 03 2227.
 1992 02 4721.
 1992 01 1123·
 1991 12  3319.
 1991 11  348.
 1991 10  810.
 1991 09  2914·
 1991 08  757.
 1991 07  809·
 1991 06  99.
 1991 05  659·
 1991 04  721.
 1991 03  97.
 1991 02  3312·
 1991 01  3211·
 1990 12 7412.
 1990 11 985.
 1990 10 866.
 1990 09 689.
 1990 08 454·
 1990 07 4711·
 1990 06 991.
 1990 05 353.
 1990 04 158.
 1990 03 806.
 1990 02 3018·
 1990 01 2319·
 1989 12  25·
 1989 11  497.
 1989 10  5913·
 1989 09  426·
 1989 08  515.
 1989 07  296·
 1989 06  942·
 1989 05  33
 1989 04  3018·
 1989 03  215·
 1989 02  66
 1989 01  563·
 1988 12 345·
 1988 11 483·
 1988 10 325·
 1988 09 15.
 1988 08 8211·
 1988 07 631.
 1988 06 735.
 1988 05 807·
 1988 04 188·
 1988 03 4118.
 1988 02 979.
 1988 01 3124·
 1987 12  1112.
 1987 11  819.
 1987 10  342.
 1987 09  175.
 1987 08  563.
 1987 07  93·
 1987 06  412.
 1987 05  2514.
 1987 04  7211.
 1987 03  7619·
 1987 02  110·
 1987 01  7014·
 1986 12 25·
 1986 11 579.
 1986 10 197·
 1986 09 8813·
 1986 08 151.
 1986 07 535·
 1986 06 2715.
 1986 05 4217·
 1986 04 724·
 1986 03 8824·
 1986 02 8222.
 1986 01 2114.
 1985 12  9614·
 1985 11  138.
 1985 10  666·
 1985 09  36
 1985 08  2615·
 1985 07  419·
 1985 06  8524·
 1985 05  2733.
 1985 04  6716.
 1985 03  6128·
 1985 02  7019·
 1985 01  5623.
 1984 12 1220.
 1984 11 914·
 1984 10 799.
 1984 09 118.
 1984 08 8115·
 1984 07 999·
 1984 06 9417·
 1984 05 554.
 1984 04 1746·
 1984 03 639.
 1984 02 2036.
 1984 01 7644·
 1983 12  9134.
 1983 11  3116·
 1983 10  8916.
 1983 09  8614·
 1983 08  9516·
 1983 07  9816·
 1983 06  5922.
 1983 05  2361.
 1983 04  5047·
 1983 03  5959.
 1983 02  1058·
 1983 01  144.
 1982 12 9936.
 1982 11 8922·
 1982 10 4924·
 1982 09 5719·
 1982 08 1221·
 1982 07 8730·
 1982 06 920·
 1982 05 5449.
 1982 04 8243·
 1982 03 8040·
 1982 02 4544·
 1982 01 8143.
 1981 12  2926.
 1981 11  1825·
 1981 10  3926·
 1981 09  4914.
 1981 08  9727.
 1981 07  7629.
 1981 06  9812.
 1981 05  9723.
 1981 04  5548·
 1981 03  5523·
 1981 02  5326.
 1981 01  8819.
 1980 12 9815.
 1980 11 7922·
 1980 10 6220.
 1980 09 99·
 1980 08 4317·
 1980 07 112.
 1980 06 6
 1980 05 7418.
 1980 04 3631.
 1980 03 9427·
 1980 02 9124.
 1980 01 2029·
 1979 12  4613.
 1979 11  599·
 1979 10  4913·
 1979 09  109.
 1979 08  6716·
 1979 07  2110.
 1979 06  3710.
 1979 05  3313·
 1979 04  1721·
 1979 03  3232·
 1979 02  3635.
 1979 01  117.
 1978 12 4214·
 1978 11 6617.
 1978 10 538.
 1978 09 5110·
 1978 08 918.
 1978 07 2417.
 1978 06 2018.
 1978 05 4824·
 1978 04 1437·
 1978 03 3141·
 1978 02 9346·
 1978 01 7824.
 1977 12  7615·
 1977 11  3814·
 1977 10  549·
 1977 09  5510.
 1977 08  3816.
 1977 07  1915·
 1977 06  919·
 1977 05  1638.
 1977 04  7051·
 1977 03  7664·
 1977 02  9134.
 1977 01  2531·
 1976 12 6628·
 1976 11 3415.
 1976 10 5619.
 1976 09 6919.
 1976 08 4427.
 1976 07 4218.
 1976 06 8513·
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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: Number Unemployed for 27-51 Weeks 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

Want to know how State economies fared during the Clinton Administration? Use the Reporter.

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