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 Series Title: Employment Level: Agriculture and Related Industries, Unpaid Family Workers, 45-54 years, Women: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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 2012 04 654.
 2012 03 384·
 2012 02 17·
 2012 01 86.
 2011 12  340·
 2011 11  600.
 2011 10  653·
 2011 09  61
 2011 08  39
 2011 07  494.
 2011 06  984.
 2011 05  814.
 2011 04  294·
 2011 03  870·
 2011 02  140·
 2011 01  130.
 2010 12 800.
 2010 11 802.
 2010 10 510·
 2010 09 263·
 2010 08 931.
 2010 07 616·
 2010 06 706·
 2010 05 146·
 2010 04 923·
 2010 03 850.
 2010 02 610·
 2010 01 964.
 2009 12  28
 2009 11  350.
 2009 10  360·
 2009 09  150.
 2009 08  760·
 2009 07  171.
 2009 06  331·
 2009 05  421.
 2009 01  381·
 2008 12 633.
 2008 11 15
 2008 10 716.
 2008 09 37
 2008 05 295·
 2008 04 702.
 2008 03 202.
 2008 02 252·
 2007 11  973.
 2007 10  103.
 2007 09  333.
 2007 08  773·
 2007 07  73
 2007 06  742.
 2007 05  81
 2007 04  942·
 2007 03  902·
 2006 12 251.
 2006 11 560.
 2006 10 03·
 2006 09 4
 2006 08 493.
 2006 07 793·
 2006 03 473·
 2006 02 960.
 2006 01 612.
 2005 12  923·
 2005 11  96.
 2005 10  746.
 2005 09  984.
 2005 08  67
 2005 07  865.
 2005 06  682.
 2005 05  242·
 2005 04  955·
 2005 03  63·
 2005 02  365·
 2005 01  254·
 2004 12 974·
 2004 11 174·
 2004 10 599·
 2004 09 145·
 2004 08 186.
 2004 07 954·
 2004 03 431·
 2004 01 311.
 2003 12  251·
 2003 10  411.
 2003 09  211.
 2003 08  373·
 2003 07  131·
 2003 05  794.
 2003 04  492.
 2003 03  212.
 2003 02  1
 2003 01  610.
 2002 12 92·
 2002 09 951·
 2001 12  340.
 2001 11  622.
 2001 10  71·
 2001 09  97
 2001 08  807·
 2001 07  816·
 2001 06  758·
 2001 05  908·
 2001 04  343·
 2001 03  455.
 2001 02  703·
 2000 11 633.
 2000 10 152·
 2000 09 43.
 2000 08 726.
 2000 07 272·
 2000 06 665·
 2000 05 331.
 2000 04 901.
 2000 03 211·
 2000 02 585·
 2000 01 335.
 1999 12  541·
 1999 11  84·
 1999 10  840.
 1999 08  291.
 1999 07  222.
 1999 06  752.
 1999 05  631·
 1999 04  710·
 1999 03  746.
 1999 02  366.
 1999 01  401.
 1998 12 353.
 1998 11 171.
 1998 10 283.
 1998 09 830.
 1998 08 210.
 1998 07 840.
 1998 06 155.
 1998 05 872·
 1998 04 554.
 1998 02 310·
 1998 01 841.
 1997 12  712·
 1997 11  874.
 1997 10  384·
 1997 09  483.
 1997 08  801·
 1997 07  920.
 1997 06  140·
 1997 05  441·
 1997 04  811·
 1997 03  710·
 1997 02  891.
 1996 12 377.
 1996 11 694.
 1996 10 4912·
 1996 09 218.
 1996 08 134.
 1996 07 654·
 1996 06 774.
 1996 05 913·
 1996 04 86
 1996 02 106·
 1996 01 301·
 1995 12  5
 1995 11  935.
 1995 10  764.
 1995 09  85·
 1995 08  956.
 1995 07  989.
 1995 06  5511.
 1995 05  369·
 1995 04  188.
 1995 03  884.
 1995 02  683·
 1995 01  664·
 1994 12 565·
 1994 11 763.
 1994 10 577.
 1994 09 728.
 1994 08 15
 1994 07 10.
 1994 06 933.
 1994 05 55
 1994 04 26
 1994 03 243.
 1994 02 69
 1994 01 418.
 1993 12  4712·
 1993 11  3416.
 1993 10  514·
 1993 09  79
 1993 08  5915.
 1993 07  4411.
 1993 06  4519·
 1993 05  4513.
 1993 04  6915.
 1993 03  9112.
 1993 02  5819.
 1993 01  3914·
 1992 12 810·
 1992 11 3927·
 1992 10 3713.
 1992 09 889·
 1992 08 3315.
 1992 07 7621·
 1992 06 319·
 1992 05 4015.
 1992 04 2611·
 1992 03 1314.
 1992 02 999·
 1992 01 7316·
 1991 12  9317.
 1991 11  9017·
 1991 10  9516.
 1991 09  8518.
 1991 08  6520·
 1991 07  6917·
 1991 06  8414.
 1991 05  220.
 1991 04  118.
 1991 03  3819·
 1991 02  8613·
 1991 01  7610.
 1990 12 807.
 1990 11 1017·
 1990 10 4417·
 1990 09 8112.
 1990 08 1011.
 1990 07 2322·
 1990 06 2918.
 1990 05 1717·
 1990 04 2321·
 1990 03 3917·
 1990 02 3415.
 1990 01 107.
 1989 12  7510·
 1989 11  4718·
 1989 10  7817·
 1989 09  1015.
 1989 08  4732.
 1989 07  5927·
 1989 06  616·
 1989 05  9418·
 1989 04  4717.
 1989 03  1313·
 1989 02  8618·
 1989 01  6028.
 1988 12 621·
 1988 11 7318·
 1988 10 1334.
 1988 09 3519.
 1988 08 8120.
 1988 07 2622.
 1988 06 629·
 1988 05 6922.
 1988 04 5324.
 1988 03 8420.
 1988 02 813·
 1988 01 3715·
 1987 12  2923·
 1987 11  8712.
 1987 10  9024.
 1987 09  4021·
 1987 08  4021·
 1987 07  9625.
 1987 06  4531.
 1987 05  323·
 1987 04  4419.
 1987 03  110·
 1987 02  9310·
 1987 01  769·
 1986 12 2111.
 1986 11 1223·
 1986 10 7740.
 1986 09 3634.
 1986 08 7924·
 1986 07 6927.
 1986 06 6725·
 1986 05 8130·
 1986 04 4928.
 1986 03 3530.
 1986 02 5616·
 1986 01 3819.
 1985 12  8819.
 1985 11  9625.
 1985 10  6532·
 1985 09  5821.
 1985 08  7728·
 1985 07  6734·
 1985 06  3718.
 1985 05  1434·
 1985 04  2430.
 1985 03  8532.
 1985 02  4030.
 1985 01  928.
 1984 12 5935.
 1984 11 1230.
 1984 10 7144.
 1984 09 6734·
 1984 08 3936·
 1984 07 3849·
 1984 06 4761·
 1984 05 3841·
 1984 04 4732·
 1984 03 7425·
 1984 02 1229.
 1984 01 9830.
 1983 12  8824·
 1983 11  5831·
 1983 10  3733.
 1983 09  4840·
 1983 08  9446.
 1983 07  5547.
 1983 06  1451.
 1983 05  1241·
 1983 04  2228·
 1983 03  5030.
 1983 02  6319·
 1983 01  4221.
 1982 12 5419·
 1982 11 5840·
 1982 10 2950·
 1982 09 1252·
 1982 08 9643·
 1982 07 1648.
 1982 06 8033.
 1982 05 2327·
 1982 04 8027·
 1982 03 8630·
 1982 02 1130.
 1982 01 133·
 1981 12  6224.
 1981 11  5848·
 1981 10  4058·
 1981 09  9552·
 1981 08  2449·
 1981 07  4469.
 1981 06  1248.
 1981 05  8145.
 1981 04  7345·
 1981 03  8139.
 1981 02  9631.
 1981 01  6033.
 1980 12 4150.
 1980 11 3355·
 1980 10 8671·
 1980 09 5767·
 1980 08 8354.
 1980 07 8760.
 1980 06 252.
 1980 05 2247.
 1980 04 8228.
 1980 03 5732.
 1980 02 8633·
 1980 01 3138.
 1979 12  4544.
 1979 11  8050·
 1979 10  1068.
 1979 09  8460.
 1979 08  283.
 1979 07  1976·
 1979 06  6568.
 1979 05  665·
 1979 04  1142.
 1979 03  6234.
 1979 02  7341.
 1979 01  4834·
 1978 12 5440.
 1978 11 2246.
 1978 10 7773.
 1978 09 8565·
 1978 08 3668.
 1978 07 3793·
 1978 06 4577·
 1978 05 1854.
 1978 04 8963·
 1978 03 6961·
 1978 02 7332.
 1978 01 7237.
 1977 12  7145·
 1977 11  770.
 1977 10  7963.
 1977 09  9855.
 1977 08  6363.
 1977 07  6474·
 1977 06  874·
 1977 05  7080.
 1977 04  7146.
 1977 03  7743.
 1977 02  2841·
 1977 01  9037.
 1976 12 2734.
 1976 11 950·
 1976 10 3481·
 1976 09 8264·
 1976 08 8893·
 1976 07 4984·
 1976 06 4582.
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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, Unpaid Family Workers, 45-54 years, Women: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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