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 Series Title: Employment Level: Agriculture and Related Industries, Self-employed Workers, Unincorporated, 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 04 990·
 2012 03 440·
 2012 02 50.
 2012 01 611.
 2011 12  140.
 2011 11  670·
 2011 10  27
 2011 09  294.
 2011 08  903.
 2011 07  840·
 2011 06  44
 2011 05  893·
 2011 04  763·
 2011 03  744·
 2011 02  682·
 2011 01  860.
 2010 12 473·
 2010 11 442·
 2010 10 377·
 2010 09 880.
 2010 08 60·
 2010 07 270·
 2010 06 150.
 2010 05 900·
 2010 04 750.
 2010 03 780.
 2010 02 890·
 2010 01 11
 2009 12  70·
 2009 11  800.
 2009 10  73
 2009 09  950·
 2009 08  763.
 2009 07  3910·
 2009 06  38.
 2009 05  129.
 2009 04  834·
 2008 12 860.
 2008 11 43
 2008 09 55
 2008 08 531.
 2008 07 791.
 2008 06 81
 2008 05 430.
 2008 01 371·
 2007 11  992.
 2007 04  29
 2007 03  213.
 2007 01  103.
 2006 10 531.
 2006 08 270.
 2006 07 581·
 2006 06 721.
 2006 05 71
 2006 04 350.
 2005 11  483.
 2005 07  495.
 2005 06  125·
 2005 05  432.
 2005 04  103·
 2005 02  914·
 2005 01  561·
 2004 12 634.
 2004 11 881.
 2004 10 740·
 2004 09 111·
 2004 07 342.
 2004 06 525.
 2004 05 983·
 2004 04 7
 2004 03 170.
 2004 01 952·
 2003 12  881.
 2003 10  26·
 2003 06  14.
 2003 05  365.
 2003 02  940·
 2002 12 770·
 2002 11 992·
 2002 10 212.
 2002 09 93
 2002 08 385.
 2002 07 495·
 2002 06 174.
 2002 05 851.
 2001 12  181·
 2001 11  132·
 2001 10  202.
 2001 09  943·
 2001 08  734.
 2001 07  802.
 2001 06  483.
 2001 05  711·
 2001 01  852.
 2000 11 623·
 2000 10 453.
 2000 09 932.
 2000 08 6010.
 2000 07 981.
 2000 06 816·
 2000 05 586·
 2000 04 305.
 2000 02 493.
 2000 01 494·
 1999 12  931.
 1999 11  511·
 1999 09  51.
 1999 08  695·
 1999 07  471·
 1999 06  61·
 1999 04  771·
 1999 02  853.
 1998 12 978.
 1998 11 19.
 1998 10 58.
 1998 09 665.
 1998 08 438.
 1998 07 6715.
 1998 06 507·
 1998 05 74.
 1998 04 94.
 1997 12  610·
 1997 11  00·
 1997 10  261.
 1997 09  472·
 1997 08  652·
 1997 07  702·
 1997 06  672.
 1997 05  324.
 1997 04  864.
 1997 03  955·
 1997 02  04·
 1997 01  641.
 1996 09 551·
 1996 08 409.
 1996 07 1810.
 1996 06 691.
 1996 05 286.
 1996 04 923.
 1996 03 421·
 1996 02 960·
 1996 01 880·
 1995 12  641·
 1995 11  142·
 1995 10  221.
 1995 09  406.
 1995 08  9415.
 1995 07  511·
 1995 06  4719.
 1995 05  185.
 1995 04  446·
 1995 03  83·
 1995 02  954.
 1995 01  7610.
 1994 12 43.
 1994 11 43
 1994 10 194·
 1994 09 9811·
 1994 08 8511.
 1994 07 5321.
 1994 06 9215·
 1994 05 8920·
 1994 04 2616·
 1994 03 816·
 1994 02 1620.
 1994 01 819.
 1993 12  883.
 1993 11  21.
 1993 10  153·
 1993 09  318.
 1993 08  625·
 1993 07  537.
 1993 06  407·
 1993 05  212·
 1993 04  581·
 1993 03  72.
 1992 09 672·
 1992 08 571.
 1992 07 162.
 1992 06 337.
 1992 01 962.
 1991 12  701·
 1991 11  97
 1991 09  243.
 1991 07  528.
 1991 06  183·
 1991 05  902·
 1991 03  99
 1991 01  861·
 1990 12 82
 1990 11 82.
 1990 10 37·
 1990 09 737·
 1990 08 694·
 1990 06 893·
 1990 05 53.
 1990 01 133.
 1989 12  105·
 1989 11  956·
 1989 10  993.
 1989 09  324·
 1989 08  624.
 1989 07  156.
 1989 06  56.
 1989 05  801.
 1988 12 63.
 1988 11 614·
 1988 09 654.
 1988 08 333.
 1988 07 503.
 1988 06 714.
 1988 05 50
 1988 04 91
 1988 03 252.
 1988 01 83.
 1987 12  542.
 1987 11  802·
 1987 10  874·
 1987 09  607.
 1987 08  956.
 1987 07  4911·
 1987 06  183·
 1987 05  401·
 1987 03  181·
 1987 02  741·
 1987 01  261.
 1986 12 86
 1986 11 921.
 1986 10 561·
 1986 09 401.
 1986 08 606.
 1986 07 12
 1986 06 201.
 1986 04 191.
 1985 12  511.
 1985 10  95
 1985 09  162.
 1985 08  443·
 1985 06  721·
 1985 05  871.
 1985 04  202·
 1985 01  201.
 1984 10 59
 1984 09 572.
 1984 08 322.
 1984 07 8110.
 1984 06 777·
 1984 02 982.
 1984 01 782.
 1983 12  833·
 1983 11  133.
 1983 09  301.
 1983 08  81·
 1983 07  72.
 1983 06  803·
 1983 05  986·
 1983 04  965·
 1983 02  591·
 1982 12 162.
 1982 10 691·
 1982 09 452.
 1982 08 734·
 1982 07 842·
 1982 06 384.
 1982 05 791·
 1982 04 31.
 1982 03 711·
 1982 02 251·
 1982 01 482.
 1981 12  334.
 1981 11  913·
 1981 10  742.
 1981 09  282.
 1981 08  683.
 1981 07  812·
 1981 06  53
 1981 05  193.
 1981 03  402.
 1980 10 52.
 1980 09 57
 1980 08 475.
 1980 07 64·
 1980 06 505.
 1980 04 5
 1980 02 622·
 1979 12  471·
 1979 10  281.
 1979 08  418·
 1979 07  391·
 1979 05  703·
 1979 03  793·
 1979 01  351·
 1978 12 793·
 1978 11 74.
 1978 10 657.
 1978 09 807.
 1978 08 88·
 1978 07 157·
 1978 06 746.
 1978 05 952.
 1978 01 752·
 1977 11  741.
 1977 10  181·
 1977 09  253·
 1977 08  567.
 1977 07  922.
 1977 06  36
 1977 05  394.
 1977 04  515.
 1977 03  04·
 1976 10 901·
 1976 09 313·
 1976 08 8710.
 1976 07 55
 1976 06 69
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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

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 Series Title: Employment Level: Agriculture and Related Industries, Self-employed Workers, Unincorporated, 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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