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 Series Title: Of Total Unemployed 16-19 years, Women, Percent Unemployed 15 Weeks and over: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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 2012 04 8745.3
 2012 03 440·2
 2012 02 4139·3
 2012 01 9448·8
 2011 12  8344·4
 2011 11  3341.0
 2011 10  6638·8
 2011 09  3843·3
 2011 08  8438·1
 2011 07  9729·5
 2011 06  3027·0
 2011 05  1940·4
 2011 04  3938·3
 2011 03  8046·2
 2011 02  4532.6
 2011 01  8042.6
 2010 12 2449·3
 2010 11 8741.6
 2010 10 4943.0
 2010 09 9032.8
 2010 08 3829.2
 2010 07 4925.3
 2010 06 521·9
 2010 05 4433.9
 2010 04 838·9
 2010 03 2443·6
 2010 02 240·2
 2010 01 6140.9
 2009 12  8441·2
 2009 11  9437·7
 2009 10  5137·6
 2009 09  8430.6
 2009 08  4127.9
 2009 07  6428.8
 2009 06  9122·6
 2009 05  8429·2
 2009 04  8036·9
 2009 03  6635·7
 2009 02  8434·8
 2009 01  5332·5
 2008 12 2535·1
 2008 11 5825.0
 2008 10 1931.0
 2008 09 1231·8
 2008 08 2818·1
 2008 07 2013·5
 2008 06 913·2
 2008 05 522·2
 2008 04 6426·3
 2008 03 6027.6
 2008 02 9122·5
 2008 01 024.4
 2007 12  3225·5
 2007 11  920·9
 2007 10  2823·4
 2007 09  9217.2
 2007 08  6021·6
 2007 07  2315.1
 2007 06  814·8
 2007 05  9925.3
 2007 04  9625·0
 2007 03  8527·2
 2007 02  4423.0
 2007 01  6717.6
 2006 12 1619·6
 2006 11 120·3
 2006 10 7418·0
 2006 09 6317.2
 2006 08 2215.0
 2006 07 217.1
 2006 06 6112.5
 2006 05 8316·9
 2006 04 3716.9
 2006 03 4517·8
 2006 02 9221·1
 2006 01 4624·1
 2005 12  1321.7
 2005 11  1313.5
 2005 10  8116·5
 2005 09  9515.1
 2005 08  2414.8
 2005 07  1013.7
 2005 06  6515·1
 2005 05  9917.9
 2005 04  7220.1
 2005 03  7023.8
 2005 02  823.7
 2005 01  5424.6
 2004 12 8223·8
 2004 11 4925·3
 2004 10 9725.2
 2004 09 7718.7
 2004 08 313·8
 2004 07 2813·0
 2004 06 4513.7
 2004 05 1421·5
 2004 04 1224·6
 2004 03 1429·4
 2004 02 9030.0
 2004 01 3235.3
 2003 12  927.8
 2003 11  3925·9
 2003 10  9526.4
 2003 09  2825.3
 2003 08  1920.0
 2003 07  6015.5
 2003 06  4814·8
 2003 05  1821·2
 2003 04  9329·0
 2003 03  5725·8
 2003 02  6122·2
 2003 01  4923.6
 2002 12 624.7
 2002 11 3819.8
 2002 10 7316·8
 2002 09 8817·4
 2002 08 5812·9
 2002 07 348.0
 2002 06 4711.4
 2002 05 3017·6
 2002 04 7421·4
 2002 03 219·4
 2002 02 7023.3
 2002 01 9519.3
 2001 12  625.7
 2001 11  2419.4
 2001 10  5519·1
 2001 09  2516.9
 2001 08  2915.7
 2001 07  510·4
 2001 06  4010.2
 2001 05  9112.5
 2001 04  4217·2
 2001 03  7919.4
 2001 02  8822.4
 2001 01  8617.6
 2000 12 7215·2
 2000 11 113.4
 2000 10 8713·9
 2000 09 3110·8
 2000 08 6911·6
 2000 07 5311.3
 2000 06 508·9
 2000 05 6715.5
 2000 04 817·2
 2000 03 4211.2
 2000 02 1513.6
 2000 01 6613·3
 1999 12  8917·9
 1999 11  9914.1
 1999 10  4418.9
 1999 09  2112·6
 1999 08  3811·0
 1999 07  828.8
 1999 06  2510.2
 1999 05  5113·3
 1999 04  517.1
 1999 03  7122·3
 1999 02  7218.7
 1999 01  112.7
 1998 12 6616·9
 1998 11 7316.0
 1998 10 2310·4
 1998 09 399·0
 1998 08 2214·2
 1998 07 2010·2
 1998 06 3911.9
 1998 05 6015.6
 1998 04 9622·9
 1998 03 6922·9
 1998 02 922.1
 1998 01 8220.5
 1997 12  4123.6
 1997 11  113.9
 1997 10  4720·2
 1997 09  5115.1
 1997 08  3013.2
 1997 07  2312·4
 1997 06  8914·0
 1997 05  3419.3
 1997 04  6628·1
 1997 03  6726·4
 1997 02  9920.3
 1997 01  2721·2
 1996 12 7219.6
 1996 11 8920·1
 1996 10 6420.5
 1996 09 4818.1
 1996 08 014·6
 1996 07 7011.8
 1996 06 9811.5
 1996 05 4119.0
 1996 04 2423·9
 1996 03 1824.8
 1996 02 3920·5
 1996 01 7624·6
 1995 12  4620·4
 1995 11  6413.4
 1995 10  4815·6
 1995 09  4718·3
 1995 08  9115.0
 1995 07  6512·7
 1995 06  1518·6
 1995 05  7323·6
 1995 04  826·1
 1995 03  232.4
 1995 02  5222·9
 1995 01  9824·1
 1994 12 7424.4
 1994 11 8228·2
 1994 10 9724.1
 1994 09 9116·5
 1994 08 8815·2
 1994 07 3614·4
 1994 06 1213·3
 1994 05 4720·8
 1994 04 7723·9
 1994 03 2222·6
 1994 02 8620·3
 1994 01 8420·0
 1993 12  9010.3
 1993 11  217·8
 1993 10  3211.1
 1993 09  4611·7
 1993 08  38.5
 1993 07  406·5
 1993 06  887·4
 1993 05  312·3
 1993 04  1715·6
 1993 03  919.2
 1993 02  1616.9
 1993 01  5017.9
 1992 12 5621.0
 1992 11 8717·2
 1992 10 416.5
 1992 09 413.1
 1992 08 719·3
 1992 07 548.1
 1992 06 659·8
 1992 05 1016·2
 1992 04 3816·1
 1992 03 1717.3
 1992 02 3720·1
 1992 01 3821.4
 1991 12  5715.8
 1991 11  810.1
 1991 10  8412.5
 1991 09  818·6
 1991 08  529.0
 1991 07  836.8
 1991 06  926·3
 1991 05  5911·3
 1991 04  7611.5
 1991 03  2412·6
 1991 02  7510·2
 1991 01  1511.2
 1990 12 310.2
 1990 11 3810.1
 1990 10 7012.0
 1990 09 206·9
 1990 08 334·4
 1990 07 575.2
 1990 06 415·5
 1990 05 666.4
 1990 04 9210·3
 1990 03 369·0
 1990 02 7610·8
 1990 01 7412.2
 1989 12  3010.8
 1989 11  589.6
 1989 10  8615·5
 1989 09  878.3
 1989 08  235·4
 1989 07  294·6
 1989 06  114·5
 1989 05  749.0
 1989 04  7010·8
 1989 03  817·5
 1989 02  139.6
 1989 01  3011.4
 1988 12 9911·4
 1988 11 718.5
 1988 10 8010·8
 1988 09 746.5
 1988 08 584.4
 1988 07 793.0
 1988 06 256·4
 1988 05 498·0
 1988 04 239·6
 1988 03 1413·6
 1988 02 869·6
 1988 01 2612.3
 1987 12  9519·6
 1987 11  612·5
 1987 10  2510.9
 1987 09  978·8
 1987 08  985·3
 1987 07  123·2
 1987 06  315·6
 1987 05  8314·3
 1987 04  8415·0
 1987 03  1410·4
 1987 02  169·7
 1987 01  2811·9
 1986 12 2810·4
 1986 11 1810·3
 1986 10 199.2
 1986 09 08·7
 1986 08 307.8
 1986 07 567·0
 1986 06 18.4
 1986 05 939·9
 1986 04 1617.1
 1986 03 8514.5
 1986 02 5218.3
 1986 01 2815.9
 1985 12  3512.4
 1985 11  8611.2
 1985 10  8411·5
 1985 09  477·8
 1985 08  646.7
 1985 07  665.3
 1985 06  357·2
 1985 05  2112.3
 1985 04  212.1
 1985 03  5717·8
 1985 02  6713.4
 1985 01  4312.3
 1984 12 7616.4
 1984 11 1517.7
 1984 10 6917.1
 1984 09 3211·6
 1984 08 359·6
 1984 07 226.5
 1984 06 547.7
 1984 05 3318·6
 1984 04 5420·1
 1984 03 8423.3
 1984 02 5920·0
 1984 01 1423.8
 1983 12  3620.4
 1983 11  3415.6
 1983 10  4716.7
 1983 09  7113·9
 1983 08  311.7
 1983 07  2710.5
 1983 06  79.9
 1983 05  2121·7
 1983 04  822.7
 1983 03  4526·2
 1983 02  5126.4
 1983 01  1025.8
 1982 12 2527.5
 1982 11 9623.7
 1982 10 1722.0
 1982 09 615.3
 1982 08 5510.6
 1982 07 1010·0
 1982 06 6710.6
 1982 05 319.9
 1982 04 2419.8
 1982 03 4519.7
 1982 02 9120·2
 1982 01 2021.5
 1981 12  8120.5
 1981 11  8219.4
 1981 10  014.7
 1981 09  311.7
 1981 08  111·8
 1981 07  278.8
 1981 06  338·8
 1981 05  1913·2
 1981 04  8721·9
 1981 03  1317·0
 1981 02  5217.1
 1981 01  6316·9
 1980 12 6216.9
 1980 11 9514.2
 1980 10 4515.4
 1980 09 549·5
 1980 08 779.1
 1980 07 564.2
 1980 06 265.9
 1980 05 3712.0
 1980 04 814.0
 1980 03 214·3
 1980 02 3213.8
 1980 01 8015·3
 1979 12  5411·0
 1979 11  6611.0
 1979 10  269.3
 1979 09  777.1
 1979 08  426·2
 1979 07  25·8
 1979 06  966·2
 1979 05  4811·8
 1979 04  2213.9
 1979 03  9413.2
 1979 02  5416.5
 1979 01  3712.2
 1978 12 6914.8
 1978 11 4712·2
 1978 10 3911·1
 1978 09 137.8
 1978 08 837.5
 1978 07 947·0
 1978 06 148.9
 1978 05 7011·7
 1978 04 9117.8
 1978 03 9115.2
 1978 02 6719.6
 1978 01 2717·2
 1977 12  4117.3
 1977 11  1911.3
 1977 10  911.5
 1977 09  288.5
 1977 08  118·7
 1977 07  868.5
 1977 06  809.8
 1977 05  4317.0
 1977 04  9921·6
 1977 03  2322.3
 1977 02  4219·0
 1977 01  6620·1
 1976 12 3219.1
 1976 11 8615.3
 1976 10 8416·2
 1976 09 1514.8
 1976 08 5912.2
 1976 07 5811.5
 1976 06 179·3
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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: Of Total Unemployed 16-19 years, Women, Percent Unemployed 15 Weeks and over: 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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