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 Series Title: Employment Level: Agriculture and Related Industries, Unpaid Family Workers, 55-64 years, Men: NSA
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 1976 06 196.
 1976 07 223·
 1976 08 272·
 1976 09 572.
 1976 10 562·
 1976 11 735·
 1976 12 561·
 1977 01  862.
 1977 02  23
 1977 03  852.
 1977 04  493.
 1977 05  7710.
 1977 06  696.
 1977 07  40
 1977 10  174.
 1977 12  722·
 1978 02 703.
 1978 03 444·
 1978 04 03·
 1978 05 432.
 1978 07 253.
 1978 10 29
 1978 11 603.
 1979 04  812·
 1979 05  612·
 1979 06  513.
 1979 07  851·
 1979 08  81·
 1979 09  281·
 1979 10  924·
 1980 01 873.
 1980 05 66
 1980 06 14.
 1980 07 603.
 1980 08 6
 1980 09 251.
 1980 12 811.
 1981 01  851.
 1981 06  34·
 1981 07  803.
 1981 08  921.
 1981 09  241.
 1981 10  661.
 1981 11  494.
 1981 12  863.
 1982 01 581.
 1982 02 91.
 1982 03 762·
 1982 04 381.
 1982 05 953.
 1982 06 701.
 1982 08 311·
 1982 10 486·
 1982 11 663·
 1982 12 102.
 1983 01  74·
 1983 02  411.
 1983 03  283.
 1983 05  191.
 1983 06  242.
 1983 07  684·
 1983 08  624.
 1983 09  86.
 1983 10  274·
 1984 01 52.
 1984 02 752·
 1984 03 171.
 1984 04 832·
 1984 05 513.
 1984 06 987.
 1984 07 71.
 1984 08 881.
 1984 09 321·
 1984 10 893·
 1984 11 673.
 1984 12 601.
 1985 01  992.
 1985 02  294·
 1985 05  104.
 1985 06  441.
 1985 09  272·
 1985 10  241·
 1985 12  73
 1986 01 85.
 1986 02 156·
 1986 03 63·
 1986 05 19
 1986 06 473.
 1986 07 911.
 1986 10 322.
 1987 03  366·
 1987 04  80
 1987 06  43·
 1987 07  835·
 1987 08  382·
 1987 09  522·
 1987 10  293.
 1987 11  675.
 1987 12  615.
 1988 03 304.
 1988 04 671·
 1988 05 144.
 1988 06 707·
 1988 07 107.
 1988 08 4310·
 1988 09 823·
 1988 10 512·
 1988 11 111·
 1989 01  72·
 1989 02  51
 1989 03  181.
 1989 04  763·
 1989 05  368·
 1989 07  296·
 1989 08  94.
 1989 09  752.
 1989 12  293.
 1990 01 483.
 1990 02 863.
 1990 03 24.
 1990 04 124.
 1990 05 636.
 1990 06 376·
 1990 08 762·
 1990 09 351.
 1990 10 575.
 1990 12 754·
 1991 04  411.
 1991 05  736.
 1991 06  364·
 1991 07  394·
 1991 08  674·
 1991 09  283·
 1991 10  32
 1991 11  911.
 1992 03 472.
 1992 04 242.
 1992 05 12·
 1992 06 181·
 1992 07 13.
 1992 08 111·
 1992 09 26
 1992 10 355.
 1992 11 731.
 1993 04  662.
 1993 05  121.
 1993 06  782.
 1993 07  314·
 1993 08  885.
 1993 10  914.
 1993 11  111·
 1993 12  711.
 1994 03 32.
 1994 04 212.
 1994 06 214·
 1994 07 114·
 1994 08 623.
 1994 09 826.
 1994 10 211·
 1994 11 95
 1994 12 392.
 1995 01  821·
 1995 02  500.
 1995 03  930.
 1995 04  350.
 1995 05  510.
 1995 06  701·
 1995 07  991·
 1995 08  761.
 1995 09  481.
 1995 10  69
 1995 11  310·
 1995 12  113·
 1996 01 523·
 1996 02 603.
 1996 03 343·
 1996 04 17
 1996 05 710.
 1996 06 812·
 1996 07 772.
 1996 08 932.
 1996 09 372·
 1996 10 942.
 1996 11 555·
 1996 12 664·
 1997 01  63.
 1997 02  881.
 1997 03  86
 1997 04  850.
 1997 05  602.
 1997 08  752.
 1997 09  141.
 1997 10  251.
 1997 11  51·
 1997 12  941.
 1998 05 94.
 1998 07 882.
 1999 01  731.
 1999 04  73.
 1999 05  645·
 1999 06  982.
 1999 07  21
 1999 08  33·
 1999 09  03.
 1999 10  71.
 2000 02 301.
 2000 05 932·
 2000 06 602.
 2000 07 892.
 2000 08 82·
 2000 09 162.
 2001 02  134.
 2001 06  443·
 2001 07  843.
 2001 08  353.
 2002 02 53
 2002 06 993·
 2002 08 183·
 2002 12 38
 2004 08 99
 2004 09 30·
 2005 06  894.
 2005 07  383.
 2005 08  975.
 2005 09  323.
 2005 11  52·
 2005 12  722.
 2006 01 142.
 2007 07  873.
 2008 04 963·
 2008 05 33·
 2008 06 453·
 2008 07 923.
 2008 08 213.
 2008 09 203.
 2009 04  91.
 2009 05  981.
 2009 06  600·
 2009 07  343·
 2009 08  504.
 2009 09  81
 2009 10  213.
 2009 11  850.
 2009 12  370.
 2010 01 400.
 2010 02 340·
 2010 03 350.
 2010 04 65
 2010 05 20.
 2010 06 560·
 2010 07 722·
 2010 08 534.
 2010 09 17
 2010 10 702·
 2010 11 82.
 2010 12 442.
 2011 01  600.
 2011 02  810·
 2011 03  82
 2011 04  80·
 2011 05  310·
 2011 06  220·
 2011 07  57
 2011 08  390.
 2011 09  560·
 2011 10  480.
 2011 11  200.
 2011 12  570.
 2012 01 850·
 2012 02 43


 2012 03 840·
 2012 04 40·
 2012 05 940·
 2012 06 114·
 2012 07 873·
 2012 08 52
 2012 09 83
 2012 10 850.
 2012 11 930.
 2012 12 920·
 2013 01  770·
 2013 02  220.
 2013 03  884·
 2013 04  467.
 2013 05  27
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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.
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      Example 3: Get Population Level Data for Workers





 Series Title: Employment Level: Agriculture and Related Industries, Unpaid Family Workers, 55-64 years, Men: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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