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 Series Title: Employment Level: Agriculture and Related Industries, Unpaid Family Workers, 55-64 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 80·
 2012 03 872.
 2012 02 41
 2012 01 722·
 2011 12  82.
 2011 11  779.
 2011 10  107.
 2011 09  681·
 2011 08  930·
 2011 07  840·
 2011 06  990·
 2011 05  82
 2011 04  14
 2011 03  903.
 2011 02  204.
 2011 01  573·
 2010 12 453·
 2010 11 10.
 2010 10 122.
 2010 09 630.
 2010 08 883·
 2010 07 501.
 2010 06 371.
 2010 05 930·
 2010 04 680.
 2010 03 923.
 2010 02 84
 2010 01 680.
 2009 12  340·
 2009 11  10
 2009 10  644·
 2009 09  310·
 2009 08  630·
 2009 07  103.
 2009 06  171·
 2009 05  511·
 2009 04  550.
 2009 03  240·
 2009 02  40·
 2009 01  220.
 2008 11 357·
 2008 10 83.
 2008 09 148·
 2008 08 648.
 2008 07 542·
 2008 06 442·
 2008 01 602·
 2007 12  200.
 2007 09  863.
 2007 08  380·
 2007 07  793·
 2007 04  610.
 2007 02  330.
 2007 01  230.
 2006 08 350.
 2006 07 790.
 2006 06 201·
 2006 05 551·
 2006 04 160·
 2005 12  952.
 2005 11  972·
 2005 10  152.
 2005 09  332.
 2005 07  517.
 2005 05  393·
 2004 10 100.
 2004 09 261.
 2004 08 191·
 2004 07 481.
 2004 06 73
 2003 11  563.
 2003 10  906.
 2003 09  470.
 2003 08  58
 2003 07  135·
 2003 06  851.
 2003 03  893.
 2003 02  492.
 2003 01  81.
 2002 10 49
 2002 09 483.
 2002 07 520·
 2002 06 80
 2002 05 493·
 2002 04 240·
 2002 03 982.
 2001 10  920.
 2001 09  806·
 2001 08  438·
 2001 07  441.
 2001 06  312·
 2001 02  611.
 2001 01  551·
 2000 12 726.
 2000 11 103.
 2000 10 372.
 2000 09 361.
 2000 08 882·
 2000 07 682·
 2000 06 762·
 2000 05 863.
 1999 12  243·
 1999 11  675·
 1999 10  733.
 1999 09  311·
 1999 08  361·
 1999 05  942.
 1999 04  465.
 1999 03  204.
 1999 02  72.
 1999 01  644·
 1998 12 412·
 1998 11 301.
 1998 10 431.
 1998 09 142·
 1998 08 263·
 1998 07 602.
 1998 02 751.
 1998 01 61.
 1997 12  944·
 1997 11  366.
 1997 10  607·
 1997 09  295.
 1997 08  674.
 1997 07  94·
 1997 06  805.
 1997 05  95
 1997 04  862.
 1997 03  533·
 1997 02  421·
 1997 01  431·
 1996 12 232·
 1996 11 704·
 1996 10 766.
 1996 09 358·
 1996 08 70
 1996 07 844.
 1996 06 41
 1996 05 59
 1996 04 474.
 1996 03 472.
 1996 02 160·
 1996 01 290.
 1995 11  983.
 1995 10  325·
 1995 09  101.
 1995 08  815.
 1995 07  925.
 1995 06  424·
 1995 05  541.
 1995 04  791.
 1995 03  240.
 1995 02  01.
 1995 01  32·
 1994 12 1112.
 1994 11 1210·
 1994 10 59
 1994 09 41
 1994 08 89
 1994 07 12·
 1994 06 925·
 1994 05 733.
 1994 04 52
 1994 03 591·
 1994 02 04.
 1994 01 315.
 1993 12  624·
 1993 11  8114.
 1993 10  912·
 1993 09  727·
 1993 08  810·
 1993 07  8713·
 1993 06  6913·
 1993 05  7814.
 1993 04  115.
 1993 03  198.
 1993 02  5610·
 1993 01  5511.
 1992 12 8110·
 1992 11 4817·
 1992 10 6915·
 1992 09 3416.
 1992 08 1010.
 1992 07 6818·
 1992 06 3525.
 1992 05 7316.
 1992 04 7513·
 1992 03 9717·
 1992 02 412.
 1992 01 539·
 1991 12  9115.
 1991 11  7915.
 1991 10  508.
 1991 09  8111·
 1991 08  9413.
 1991 07  8513·
 1991 06  7522·
 1991 05  8817.
 1991 04  4716.
 1991 03  716.
 1991 02  417·
 1991 01  3110·
 1990 12 3910.
 1990 11 6615·
 1990 10 879·
 1990 09 9119.
 1990 08 8220·
 1990 07 512·
 1990 06 015.
 1990 05 7611.
 1990 04 147.
 1990 03 9410·
 1990 02 439·
 1990 01 178.
 1989 12  9910.
 1989 11  267·
 1989 10  4113.
 1989 09  7014.
 1989 08  2317·
 1989 07  2121.
 1989 06  4512·
 1989 05  1815·
 1989 04  118·
 1989 03  22
 1989 02  3010.
 1989 01  6619·
 1988 12 6920·
 1988 11 020·
 1988 10 9727·
 1988 09 4720.
 1988 08 9036·
 1988 07 4826.
 1988 06 7029·
 1988 05 1630·
 1988 04 5323·
 1988 03 858.
 1988 02 12·
 1988 01 575·
 1987 12  7118.
 1987 11  5520.
 1987 10  6516.
 1987 09  7513.
 1987 08  8132.
 1987 07  2931.
 1987 06  6229·
 1987 05  230.
 1987 04  4630.
 1987 03  9825·
 1987 02  1713.
 1987 01  9419.
 1986 12 5420.
 1986 11 8437·
 1986 10 8219.
 1986 09 3421.
 1986 08 1926.
 1986 07 3029·
 1986 06 3030.
 1986 05 2832·
 1986 04 7721·
 1986 03 515.
 1986 02 6419·
 1986 01 720·
 1985 12  9218.
 1985 11  332·
 1985 10  744·
 1985 09  2931.
 1985 08  5132·
 1985 07  4327.
 1985 06  1119.
 1985 05  7421.
 1985 04  6820·
 1985 03  7016.
 1985 02  5116.
 1985 01  5024·
 1984 12 8123.
 1984 11 5329·
 1984 10 2732.
 1984 09 8835.
 1984 08 5230·
 1984 07 8637.
 1984 06 6431·
 1984 05 4529.
 1984 04 6915·
 1984 03 8712·
 1984 02 1419·
 1984 01 216.
 1983 12  4531·
 1983 11  226.
 1983 10  5135·
 1983 09  6738.
 1983 08  1830·
 1983 07  9945.
 1983 06  7639·
 1983 05  7020.
 1983 04  5110.
 1983 03  7217·
 1983 02  1417·
 1983 01  6815·
 1982 12 3222·
 1982 11 4123·
 1982 10 1626.
 1982 09 4331·
 1982 08 7440·
 1982 07 4930·
 1982 06 5737·
 1982 05 233·
 1982 04 1428·
 1982 03 6720.
 1982 02 3716·
 1982 01 7720.
 1981 12  1510.
 1981 11  8748·
 1981 10  8239·
 1981 09  2326.
 1981 08  6628.
 1981 07  3022·
 1981 06  4238.
 1981 05  2323·
 1981 04  7926·
 1981 03  3821·
 1981 02  9316.
 1981 01  8317·
 1980 12 9315·
 1980 11 8230·
 1980 10 3546.
 1980 09 3436·
 1980 08 6934.
 1980 07 5643·
 1980 06 9227·
 1980 05 3433·
 1980 04 9630.
 1980 03 7828·
 1980 02 1717.
 1980 01 6518·
 1979 12  8727.
 1979 11  9327·
 1979 10  8442·
 1979 09  3243.
 1979 08  8049.
 1979 07  7047·
 1979 06  9346.
 1979 05  6728.
 1979 04  3728·
 1979 03  332·
 1979 02  7129.
 1979 01  2826·
 1978 12 4722·
 1978 11 1132.
 1978 10 6661·
 1978 09 9544·
 1978 08 2242.
 1978 07 3947.
 1978 06 5562·
 1978 05 7532·
 1978 04 126.
 1978 03 5528·
 1978 02 3922·
 1978 01 129·
 1977 12  4531.
 1977 11  5432.
 1977 10  4147·
 1977 09  2836.
 1977 08  4453·
 1977 07  5565.
 1977 06  1450.
 1977 05  3850·
 1977 04  943.
 1977 03  123·
 1977 02  3218.
 1977 01  3826·
 1976 12 7933.
 1976 11 6337.
 1976 10 9540·
 1976 09 6049.
 1976 08 1751·
 1976 07 3449.
 1976 06 3062·
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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, 55-64 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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