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 Series Title: Not in Labor Force, 16-19 years, Black or African American Women: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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 2012 04 761030·
 2012 03 8996.
 2012 02 67998·
 2012 01 121025.
 2011 12  251009.
 2011 11  93977·
 2011 10  1992·
 2011 09  681011·
 2011 08  91981.
 2011 07  26949·
 2011 06  86919·
 2011 05  731013.
 2011 04  24990.
 2011 03  891009·
 2011 02  351044.
 2011 01  711034·
 2010 12 981013.
 2010 11 891005.
 2010 10 86998·
 2010 09 311079.
 2010 08 15988·
 2010 07 57947.
 2010 06 1978.
 2010 05 47966.
 2010 04 01036.
 2010 03 501031.
 2010 02 681049.
 2010 01 38994.
 2009 12  41005.
 2009 11  501029.
 2009 10  11006·
 2009 09  481045·
 2009 08  1956.
 2009 07  63845.
 2009 06  37885.
 2009 05  47964·
 2009 04  921010·
 2009 03  221016.
 2009 02  401013.
 2009 01  29963.
 2008 12 21008·
 2008 11 811019.
 2008 10 96990.
 2008 09 12994·
 2008 08 83896.
 2008 07 25831·
 2008 06 19911·
 2008 05 42939·
 2008 04 8954·
 2008 03 57955·
 2008 02 48937·
 2008 01 86991·
 2007 12  80920·
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 2005 03  69878.
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 2004 11 66838·
 2004 10 4803.
 2004 09 45893.
 2004 08 64799·
 2004 07 76688.
 2004 06 36748.
 2004 05 68808·
 2004 04 13874.
 2004 03 5875.
 2004 02 78862.
 2004 01 87832·
 2003 12  62853·
 2003 11  86829.
 2003 10  91841·
 2003 09  94805.
 2003 08  37798·
 2003 07  74692.
 2003 06  66709.
 2003 05  9781·
 2003 04  88805·
 2003 03  52820·
 2003 02  13836.
 2003 01  76830.
 2002 12 91794.
 2002 11 26806·
 2002 10 71804.
 2002 09 65806.
 2002 08 46767.
 2002 07 28704.
 2002 06 3710.
 2002 05 69840.
 2002 04 78793·
 2002 03 14834·
 2002 02 97829·
 2002 01 8879·
 2001 12  37825.
 2001 11  66764·
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 2001 08  0757·
 2001 07  91642.
 2001 06  48652.
 2001 05  91771.
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 2001 01  98785·
 2000 12 61747.
 2000 11 11706·
 2000 10 25709·
 2000 09 66738.
 2000 08 35671.
 2000 07 43607.
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 2000 03 26796.
 2000 02 33787·
 2000 01 88808·
 1999 12  47797.
 1999 11  89797.
 1999 10  20810·
 1999 09  5792·
 1999 08  11716·
 1999 07  89652.
 1999 06  73702·
 1999 05  10801.
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 1999 03  9797.
 1999 02  4788.
 1999 01  46798.
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 1998 11 54741·
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 1998 09 84731·
 1998 08 15651.
 1998 07 57627.
 1998 06 76602·
 1998 05 16726.
 1998 04 55736.
 1998 03 74753·
 1998 02 68783.
 1998 01 63769.
 1997 12  77706·
 1997 11  87730.
 1997 10  39770.
 1997 09  69759.
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 1997 07  2626·
 1997 06  27716·
 1997 05  2768·
 1997 04  94795·
 1997 03  51749·
 1997 02  96758·
 1997 01  56766.
 1996 12 16747·
 1996 11 91772·
 1996 10 33757·
 1996 09 52772·
 1996 08 71676·
 1996 07 3633·
 1996 06 50651·
 1996 05 32713·
 1996 04 36753.
 1996 03 94769·
 1996 02 87779·
 1996 01 67748.
 1995 12  10714·
 1995 11  96691·
 1995 10  5713.
 1995 09  49682.
 1995 08  19626·
 1995 07  65543·
 1995 06  94596.
 1995 05  0715·
 1995 04  14746·
 1995 03  82752.
 1995 02  64762.
 1995 01  62796.
 1994 12 70796.
 1994 11 56737.
 1994 10 55710·
 1994 09 4754·
 1994 08 87670·
 1994 07 16562·
 1994 06 30612.
 1994 05 21776.
 1994 04 91758·
 1994 03 20777·
 1994 02 75748.
 1994 01 33696·
 1993 12  32753.
 1993 11  50733·
 1993 10  5767.
 1993 09  82774.
 1993 08  85654·
 1993 07  11545.
 1993 06  57638·
 1993 05  39738·
 1993 04  51798·
 1993 03  37796.
 1993 02  93741.
 1993 01  97741.
 1992 12 55739·
 1992 11 82744·
 1992 10 3760·
 1992 09 76725·
 1992 08 48611·
 1992 07 30546.
 1992 06 98612.
 1992 05 19726·
 1992 04 5763·
 1992 03 86790·
 1992 02 16751.
 1992 01 96774·
 1991 12  26787·
 1991 11  83778.
 1991 10  21761.
 1991 09  1794.
 1991 08  37719.
 1991 07  76585.
 1991 06  1678·
 1991 05  53777.
 1991 04  88773·
 1991 03  48729·
 1991 02  68758·
 1991 01  97753.
 1990 12 55746·
 1990 11 5742.
 1990 10 59739·
 1990 09 0771·
 1990 08 37656.
 1990 07 79598·
 1990 06 39624·
 1990 05 59767·
 1990 04 61762·
 1990 03 27738·
 1990 02 95771.
 1990 01 91756·
 1989 12  77659·
 1989 11  29681·
 1989 10  39669·
 1989 09  41641·
 1989 08  60594·
 1989 07  94497·
 1989 06  11572·
 1989 05  77678.
 1989 04  10710.
 1989 03  51718·
 1989 02  71714·
 1989 01  95744·
 1988 12 53692.
 1988 11 59724.
 1988 10 10722·
 1988 09 13687.
 1988 08 40584.
 1988 07 98530·
 1988 06 38623.
 1988 05 76737·
 1988 04 45755.
 1988 03 76715.
 1988 02 95710.
 1988 01 52742.
 1987 12  69682·
 1987 11  24688.
 1987 10  43644·
 1987 09  35665·
 1987 08  38568.
 1987 07  98532·
 1987 06  70571·
 1987 05  46710.
 1987 04  2730.
 1987 03  81714.
 1987 02  89703·
 1987 01  27749.
 1986 12 36721.
 1986 11 78710·
 1986 10 38679.
 1986 09 48687.
 1986 08 40616.
 1986 07 22529·
 1986 06 80522·
 1986 05 4702.
 1986 04 41671·
 1986 03 69681.
 1986 02 2722·
 1986 01 13708·
 1985 12  88712.
 1985 11  1703·
 1985 10  17698.
 1985 09  19732.
 1985 08  56624.
 1985 07  24491.
 1985 06  64615·
 1985 05  92686.
 1985 04  47727.
 1985 03  70733·
 1985 02  6736.
 1985 01  26740·
 1984 12 86726.
 1984 11 97721·
 1984 10 29707·
 1984 09 40715·
 1984 08 22592.
 1984 07 84512·
 1984 06 48620·
 1984 05 78800.
 1984 04 32782.
 1984 03 39836.
 1984 02 99803.
 1984 01 9809.
 1983 12  16768.
 1983 11  94780·
 1983 10  46788.
 1983 09  27773.
 1983 08  99648.
 1983 07  6595.
 1983 06  77643.
 1983 05  52802·
 1983 04  31815.
 1983 03  55861.
 1983 02  5847·
 1983 01  27827·
 1982 12 88780·
 1982 11 49768.
 1982 10 67782·
 1982 09 22769·
 1982 08 71653.
 1982 07 19599.
 1982 06 26717.
 1982 05 31797.
 1982 04 4870·
 1982 03 22837.
 1982 02 71818.
 1982 01 73818·
 1981 12  39805.
 1981 11  39784.
 1981 10  14764.
 1981 09  93812.
 1981 08  49726·
 1981 07  78638.
 1981 06  93690·
 1981 05  58811.
 1981 04  37825.
 1981 03  69822·
 1981 02  71842.
 1981 01  64810.
 1980 12 27809.
 1980 11 70820.
 1980 10 36827·
 1980 09 30803.
 1980 08 70695.
 1980 07 61580·
 1980 06 0665.
 1980 05 99790·
 1980 04 41847·
 1980 03 51816.
 1980 02 2778·
 1980 01 42791·
 1979 12  40754.
 1979 11  69762·
 1979 10  5769·
 1979 09  51796·
 1979 08  93686.
 1979 07  74575·
 1979 06  96655·
 1979 05  47790.
 1979 04  50762·
 1979 03  46815.
 1979 02  88772.
 1979 01  72784·
 1978 12 87750.
 1978 11 93746·
 1978 10 20771·
 1978 09 98762·
 1978 08 4617·
 1978 07 45554·
 1978 06 54619·
 1978 05 16788·
 1978 04 27821·
 1978 03 60806.
 1978 02 77818·
 1978 01 48803·
 1977 12  5803·
 1977 11  20803·
 1977 10  4816.
 1977 09  36808·
 1977 08  14678·
 1977 07  29626.
 1977 06  71649·
 1977 05  51851.
 1977 04  55846.
 1977 03  22867·
 1977 02  42857.
 1977 01  85835·
 1976 12 53853·
 1976 11 53797.
 1976 10 4832·
 1976 09 59824.
 1976 08 58662·
 1976 07 6637.
 1976 06 71711.
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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: Not in Labor Force, 16-19 years, Black or African American 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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