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 Series Title: Employment Level: Nonagriculture, 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 19
 2012 03 7512.
 2012 02 646·
 2012 01 456·
 2011 12  17·
 2011 11  1718.
 2011 10  8120.
 2011 09  918.
 2011 08  013·
 2011 07  816.
 2011 06  495.
 2011 05  229.
 2011 04  6512.
 2011 03  292.
 2011 02  806.
 2011 01  2811.
 2010 12 7215·
 2010 11 8712·
 2010 10 149.
 2010 09 957.
 2010 08 229.
 2010 07 136.
 2010 06 123·
 2010 05 198.
 2010 04 4014·
 2010 03 648·
 2010 02 629.
 2010 01 18
 2009 12  765.
 2009 11  210.
 2009 10  782.
 2009 09  369·
 2009 08  68.
 2009 07  9314.
 2009 06  9715.
 2009 05  4314.
 2009 04  309·
 2009 03  96·
 2009 02  822.
 2009 01  325·
 2008 12 735.
 2008 11 26
 2008 10 217·
 2008 09 2312·
 2008 08 8711·
 2008 07 2711·
 2008 06 2721·
 2008 05 6116.
 2008 04 459·
 2008 03 18
 2008 02 3811.
 2008 01 133.
 2007 12  4912·
 2007 11  3017·
 2007 10  1715.
 2007 09  7410·
 2007 08  2421.
 2007 07  2021.
 2007 06  519.
 2007 05  6410.
 2007 04  2114.
 2007 03  71
 2007 02  5411.
 2007 01  268.
 2006 12 1411·
 2006 11 874·
 2006 10 6317.
 2006 09 305.
 2006 08 515.
 2006 07 28·
 2006 06 413.
 2006 05 706·
 2006 04 186·
 2006 03 7113.
 2006 02 7713·
 2006 01 6511.
 2005 12  413.
 2005 11  7719.
 2005 10  8220.
 2005 09  5822.
 2005 08  3824·
 2005 07  2623.
 2005 06  9610.
 2005 05  209·
 2005 04  2212·
 2005 03  508·
 2005 02  8013·
 2005 01  447·
 2004 12 792.
 2004 11 43.
 2004 10 237.
 2004 09 507·
 2004 08 617.
 2004 07 724·
 2004 06 38
 2004 05 816.
 2004 04 434·
 2004 03 5910·
 2004 02 6214.
 2004 01 717·
 2003 12  2528·
 2003 11  9713.
 2003 10  5811·
 2003 09  222·
 2003 07  333·
 2003 06  447.
 2003 05  157.
 2003 04  459.
 2003 03  176·
 2003 02  796·
 2003 01  455·
 2002 12 202.
 2002 11 535.
 2002 10 118.
 2002 09 866.
 2002 08 177·
 2002 07 409.
 2002 06 71
 2002 05 210.
 2002 04 297·
 2002 03 52.
 2002 02 1511.
 2002 01 7811.
 2001 12  7515.
 2001 11  9716·
 2001 10  2510.
 2001 09  3010.
 2001 08  013.
 2001 07  923.
 2001 06  87.
 2001 05  94
 2001 04  746.
 2001 03  9112.
 2001 02  955.
 2001 01  3413.
 2000 12 899.
 2000 11 199.
 2000 10 439.
 2000 09 373·
 2000 08 653·
 2000 07 261·
 2000 06 33
 2000 05 175.
 2000 04 476·
 2000 03 8710·
 2000 02 734.
 2000 01 109·
 1999 12  35·
 1999 11  44.
 1999 10  942·
 1999 09  8111·
 1999 08  272.
 1999 07  17.
 1999 06  5314·
 1999 05  1714.
 1999 04  4013.
 1999 03  2920.
 1999 02  3019·
 1999 01  318.
 1998 12 848.
 1998 11 6311.
 1998 10 334·
 1998 09 606.
 1998 08 2911.
 1998 07 33·
 1998 06 9415.
 1998 05 6812.
 1998 04 7013.
 1998 03 766.
 1998 02 6910·
 1998 01 428.
 1997 12  244·
 1997 11  309·
 1997 10  408.
 1997 09  966·
 1997 08  3812.
 1997 07  4312·
 1997 06  127·
 1997 05  6812·
 1997 04  78
 1997 03  1411·
 1997 02  1911.
 1997 01  1919.
 1996 12 4120·
 1996 11 6818·
 1996 10 1716.
 1996 09 3920.
 1996 08 4411·
 1996 07 5615·
 1996 06 8717·
 1996 05 396·
 1996 04 328·
 1996 03 548.
 1996 02 3612·
 1996 01 5911.
 1995 12  757·
 1995 11  618·
 1995 10  954.
 1995 09  602.
 1995 08  6511.
 1995 07  33.
 1995 06  226.
 1995 05  316.
 1995 04  235.
 1995 03  3111.
 1995 02  9816·
 1995 01  8415·
 1994 12 9315.
 1994 11 1912·
 1994 10 2919.
 1994 09 5814·
 1994 08 439·
 1994 07 6911·
 1994 06 479.
 1994 05 1512·
 1994 04 686·
 1994 03 618·
 1994 02 912·
 1994 01 4410.
 1993 12  8817·
 1993 11  7927.
 1993 10  9636·
 1993 09  5623.
 1993 08  4523·
 1993 07  6512·
 1993 06  1522.
 1993 05  9119.
 1993 04  938.
 1993 03  6423.
 1993 02  9920.
 1993 01  1029.
 1992 12 7525.
 1992 11 133.
 1992 10 228.
 1992 09 230.
 1992 08 6225.
 1992 07 2730.
 1992 06 735·
 1992 05 8027.
 1992 04 1325.
 1992 03 1640.
 1992 02 2233.
 1992 01 8225.
 1991 12  9821·
 1991 11  7020.
 1991 10  7626.
 1991 09  7031·
 1991 08  1123·
 1991 07  1424.
 1991 06  2727.
 1991 05  3227·
 1991 04  7129·
 1991 03  9836·
 1991 02  5735·
 1991 01  8129·
 1990 12 2228.
 1990 11 9726·
 1990 10 7245.
 1990 09 5632·
 1990 08 3430.
 1990 07 1334.
 1990 06 423.
 1990 05 1930·
 1990 04 031.
 1990 03 7029·
 1990 02 934.
 1990 01 5734·
 1989 12  3934·
 1989 11  1835·
 1989 10  6928.
 1989 09  8519·
 1989 08  9723.
 1989 07  3428.
 1989 06  9128.
 1989 05  3947·
 1989 04  4245·
 1989 03  1746·
 1989 02  731·
 1989 01  8240·
 1988 12 6732.
 1988 11 9320·
 1988 10 7314.
 1988 09 321.
 1988 08 9327·
 1988 07 1234.
 1988 06 7040·
 1988 05 1543·
 1988 04 6331·
 1988 03 5030.
 1988 02 523·
 1988 01 5425.
 1987 12  4732.
 1987 11  733·
 1987 10  1128·
 1987 09  8533.
 1987 08  3940.
 1987 07  934·
 1987 06  4337.
 1987 05  9533.
 1987 04  5728.
 1987 03  532.
 1987 02  8322·
 1987 01  9727·
 1986 12 4629·
 1986 11 7242·
 1986 10 3827·
 1986 09 2929·
 1986 08 7539·
 1986 07 938·
 1986 06 4028·
 1986 05 5321·
 1986 04 3832.
 1986 03 4336.
 1986 02 4529·
 1986 01 5830.
 1985 12  5525.
 1985 11  2334·
 1985 10  3544.
 1985 09  5647.
 1985 08  6939·
 1985 07  2432.
 1985 06  1636.
 1985 05  8639·
 1985 04  5037·
 1985 03  4832.
 1985 02  2034.
 1985 01  1038·
 1984 12 9244.
 1984 11 1943.
 1984 10 439.
 1984 09 1650.
 1984 08 1336·
 1984 07 8943.
 1984 06 4930·
 1984 05 1844.
 1984 04 5947.
 1984 03 3168·
 1984 02 6241.
 1984 01 5241·
 1983 12  9853·
 1983 11  4859.
 1983 10  7551·
 1983 09  8247.
 1983 08  2445.
 1983 07  6348·
 1983 06  4438·
 1983 05  9641·
 1983 04  5737·
 1983 03  2849·
 1983 02  5148·
 1983 01  653·
 1982 12 4052.
 1982 11 1844.
 1982 10 364·
 1982 09 5171·
 1982 08 4363·
 1982 07 3462·
 1982 06 3152.
 1982 05 9360·
 1982 04 6063·
 1982 03 066·
 1982 02 9264.
 1982 01 2155.
 1981 12  1061·
 1981 11  6762.
 1981 10  6769.
 1981 09  4766.
 1981 08  3758.
 1981 07  1160·
 1981 06  6361.
 1981 05  851.
 1981 04  1038.
 1981 03  3248·
 1981 02  1241.
 1981 01  6947.
 1980 12 2435·
 1980 11 5441·
 1980 10 7144·
 1980 09 1755.
 1980 08 9752.
 1980 07 3064·
 1980 06 2052·
 1980 05 6456·
 1980 04 7541.
 1980 03 3448.
 1980 02 6752.
 1980 01 4958·
 1979 12  2560·
 1979 11  6652·
 1979 10  4461·
 1979 09  3452.
 1979 08  4258.
 1979 07  5286.
 1979 06  669·
 1979 05  878·
 1979 04  4572·
 1979 03  4268.
 1979 02  3655.
 1979 01  8458·
 1978 12 7955.
 1978 11 1158.
 1978 10 4150.
 1978 09 9859·
 1978 08 1262.
 1978 07 6159·
 1978 06 5154.
 1978 05 1457·
 1978 04 3869.
 1978 03 1681·
 1978 02 2460·
 1978 01 2158.
 1977 12  7859·
 1977 11  2752.
 1977 10  4148.
 1977 09  3064.
 1977 08  7453.
 1977 07  6971.
 1977 06  969.
 1977 05  80102.
 1977 04  9674·
 1977 03  4382·
 1977 02  5979·
 1977 01  3457.
 1976 12 3971.
 1976 11 7465·
 1976 10 4860·
 1976 09 7951.
 1976 08 2063·
 1976 07 1247.
 1976 06 5864·
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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: Nonagriculture, 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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