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 Series Title: Employment Level: Nonagriculture, Unpaid Family Workers, 55-64 years: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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 2012 04 778.
 2012 03 4212·
 2012 02 816.
 2012 01 7011·
 2011 12  1211·
 2011 11  1124.
 2011 10  7325·
 2011 09  3321·
 2011 08  821.
 2011 07  7324·
 2011 06  6010·
 2011 05  8817.
 2011 04  1413·
 2011 03  83·
 2011 02  546.
 2011 01  8012·
 2010 12 716.
 2010 11 2416.
 2010 10 9423.
 2010 09 7818·
 2010 08 8512.
 2010 07 526.
 2010 06 423.
 2010 05 758.
 2010 04 7516·
 2010 03 4810·
 2010 02 8714·
 2010 01 9212.
 2009 12  277·
 2009 11  95
 2009 10  403.
 2009 09  7110.
 2009 08  1614.
 2009 07  016·
 2009 06  4117.
 2009 05  8314·
 2009 04  4411·
 2009 03  938·
 2009 02  512·
 2009 01  215.
 2008 12 3411·
 2008 11 317.
 2008 10 599·
 2008 09 514·
 2008 08 3813·
 2008 07 9616·
 2008 06 7821.
 2008 05 7816·
 2008 04 329.
 2008 03 953.
 2008 02 4614.
 2008 01 103.
 2007 12  1412·
 2007 11  5918.
 2007 10  2519.
 2007 09  9616·
 2007 08  1126.
 2007 07  4521·
 2007 06  315·
 2007 05  5316.
 2007 04  7416·
 2007 03  3511.
 2007 02  9419·
 2007 01  2613·
 2006 12 7715.
 2006 11 3413·
 2006 10 3422·
 2006 09 8512.
 2006 08 2119.
 2006 07 7610.
 2006 06 887.
 2006 05 246.
 2006 04 316.
 2006 03 1615·
 2006 02 4213.
 2006 01 6111·
 2005 12  5817·
 2005 11  3626.
 2005 10  1126·
 2005 09  4128.
 2005 08  7731.
 2005 07  4328·
 2005 06  3112.
 2005 05  3211·
 2005 04  8912.
 2005 03  688.
 2005 02  6513·
 2005 01  30
 2004 12 192·
 2004 11 693.
 2004 10 37.
 2004 09 5312·
 2004 08 169·
 2004 07 265·
 2004 06 558.
 2004 05 467.
 2004 04 584·
 2004 03 4610·
 2004 02 6115.
 2004 01 7717.
 2003 12  4428·
 2003 11  6118.
 2003 10  8314.
 2003 09  417·
 2003 08  999.
 2003 07  285.
 2003 06  89.
 2003 05  569.
 2003 04  7414.
 2003 03  287.
 2003 02  517·
 2003 01  67
 2002 12 4410·
 2002 11 6810.
 2002 10 4914·
 2002 09 4416.
 2002 08 1011.
 2002 07 7913·
 2002 06 6415·
 2002 05 8013.
 2002 04 9611.
 2002 03 196.
 2002 02 8516·
 2002 01 9418·
 2001 12  5518.
 2001 11  6817·
 2001 10  2513·
 2001 09  3015.
 2001 08  6017·
 2001 07  345·
 2001 06  2010·
 2001 05  586·
 2001 04  126.
 2001 03  4817·
 2001 02  366·
 2001 01  7213.
 2000 12 379·
 2000 11 6710.
 2000 10 5814.
 2000 09 9114.
 2000 08 8511.
 2000 07 7212.
 2000 06 017·
 2000 05 59
 2000 04 3111·
 2000 03 7017.
 2000 02 06·
 2000 01 4513·
 1999 12  7611.
 1999 11  939.
 1999 10  214.
 1999 09  4314·
 1999 08  45
 1999 07  977·
 1999 06  5114·
 1999 05  7314.
 1999 04  8913.
 1999 03  6324.
 1999 02  325.
 1999 01  7912.
 1998 12 8211.
 1998 11 016.
 1998 10 1310.
 1998 09 2910·
 1998 08 2612.
 1998 07 376.
 1998 06 4715·
 1998 05 1817.
 1998 04 4615·
 1998 03 33
 1998 02 9013.
 1998 01 6511.
 1997 12  928.
 1997 11  689·
 1997 10  577.
 1997 09  1411.
 1997 08  3913·
 1997 07  4916·
 1997 06  8516·
 1997 05  3523.
 1997 04  8816.
 1997 03  817·
 1997 02  3720.
 1997 01  2123.
 1996 12 6434.
 1996 11 129.
 1996 10 026·
 1996 09 9232·
 1996 08 1815.
 1996 07 1023·
 1996 06 8922·
 1996 05 928·
 1996 04 2613·
 1996 03 4215.
 1996 02 4020·
 1996 01 8921.
 1995 12  8610.
 1995 11  2915·
 1995 10  1611.
 1995 09  789.
 1995 08  2610.
 1995 07  267·
 1995 06  612.
 1995 05  798.
 1995 04  949·
 1995 03  1621.
 1995 02  2224.
 1995 01  3520·
 1994 12 6719·
 1994 11 517·
 1994 10 327.
 1994 09 1524·
 1994 08 4622·
 1994 07 2525.
 1994 06 1019·
 1994 05 1419.
 1994 04 5411.
 1994 03 3220.
 1994 02 3314·
 1994 01 5112.
 1993 12  4421·
 1993 11  930·
 1993 10  8344·
 1993 09  6931.
 1993 08  9031·
 1993 07  6217·
 1993 06  9927·
 1993 05  3825·
 1993 04  9243.
 1993 03  2226·
 1993 02  4423.
 1993 01  5337·
 1992 12 7627·
 1992 11 4640·
 1992 10 531·
 1992 09 3229·
 1992 08 9230·
 1992 07 1530·
 1992 06 9640.
 1992 05 1929·
 1992 04 1729·
 1992 03 3845.
 1992 02 5436.
 1992 01 8428·
 1991 12  4920.
 1991 11  4421·
 1991 10  4230·
 1991 09  2137·
 1991 08  1525.
 1991 07  9127·
 1991 06  4827·
 1991 05  4830·
 1991 04  6531·
 1991 03  6038.
 1991 02  8536.
 1991 01  1134.
 1990 12 7430.
 1990 11 5828.
 1990 10 9248.
 1990 09 7734.
 1990 08 4332·
 1990 07 1735·
 1990 06 2923·
 1990 05 4231·
 1990 04 9734·
 1990 03 9231·
 1990 02 8738·
 1990 01 2537.
 1989 12  8641.
 1989 11  6745·
 1989 10  7739.
 1989 09  6932.
 1989 08  8727.
 1989 07  4730·
 1989 06  3831·
 1989 05  4349.
 1989 04  9846·
 1989 03  6551·
 1989 02  3232.
 1989 01  4240.
 1988 12 4732.
 1988 11 7623·
 1988 10 4715.
 1988 09 8622.
 1988 08 8230·
 1988 07 6336·
 1988 06 9643·
 1988 05 1747.
 1988 04 7936.
 1988 03 3133·
 1988 02 1723.
 1988 01 626.
 1987 12  4035.
 1987 11  1437·
 1987 10  7334.
 1987 09  4634·
 1987 08  8941.
 1987 07  6635·
 1987 06  5240.
 1987 05  5737·
 1987 04  7628·
 1987 03  7132·
 1987 02  6723.
 1987 01  8228.
 1986 12 7732·
 1986 11 3446.
 1986 10 5530.
 1986 09 9137·
 1986 08 9343.
 1986 07 8844.
 1986 06 8032·
 1986 05 7826.
 1986 04 4938.
 1986 03 8837·
 1986 02 2932.
 1986 01 6333·
 1985 12  9430.
 1985 11  1739·
 1985 10  1548·
 1985 09  8851.
 1985 08  640·
 1985 07  8135.
 1985 06  7638.
 1985 05  2439·
 1985 04  8338·
 1985 03  1233·
 1985 02  7635·
 1985 01  6439·
 1984 12 5151.
 1984 11 6743.
 1984 10 144.
 1984 09 2850.
 1984 08 6137·
 1984 07 2744·
 1984 06 6538.
 1984 05 6048·
 1984 04 8950.
 1984 03 9871·
 1984 02 643.
 1984 01 2944·
 1983 12  3460.
 1983 11  1365.
 1983 10  8657.
 1983 09  2953.
 1983 08  2152.
 1983 07  2756·
 1983 06  9444.
 1983 05  7949.
 1983 04  340.
 1983 03  2453·
 1983 02  4251.
 1983 01  2358·
 1982 12 5254.
 1982 11 949.
 1982 10 6867.
 1982 09 3175.
 1982 08 7169.
 1982 07 1363·
 1982 06 3657·
 1982 05 9767.
 1982 04 8473.
 1982 03 9573.
 1982 02 3373·
 1982 01 3962.
 1981 12  4369·
 1981 11  3465·
 1981 10  7174.
 1981 09  377·
 1981 08  2164·
 1981 07  3963·
 1981 06  9063·
 1981 05  5653.
 1981 04  2039.
 1981 03  3952.
 1981 02  5147·
 1981 01  9451·
 1980 12 6538·
 1980 11 9443·
 1980 10 4245.
 1980 09 3558·
 1980 08 654.
 1980 07 8269·
 1980 06 7757.
 1980 05 2359.
 1980 04 2044·
 1980 03 1355·
 1980 02 9452·
 1980 01 2857·
 1979 12  564.
 1979 11  1654·
 1979 10  5563·
 1979 09  4454.
 1979 08  8858.
 1979 07  4990·
 1979 06  4873.
 1979 05  9080.
 1979 04  1976·
 1979 03  9473.
 1979 02  8656.
 1979 01  1059·
 1978 12 7455.
 1978 11 5660.
 1978 10 652·
 1978 09 7361.
 1978 08 5262·
 1978 07 6859·
 1978 06 7354.
 1978 05 7361·
 1978 04 7969·
 1978 03 8782·
 1978 02 7463.
 1978 01 3063·
 1977 12  665·
 1977 11  9355·
 1977 10  2152.
 1977 09  8771.
 1977 08  858.
 1977 07  9475·
 1977 06  5277.
 1977 05  14106·
 1977 04  8579.
 1977 03  2194.
 1977 02  3190·
 1977 01  566.
 1976 12 6385.
 1976 11 3176.
 1976 10 4665·
 1976 09 8052.
 1976 08 9267·
 1976 07 558·
 1976 06 872.
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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 1: Get Unemployment Rates for people in Computer jobs







      Example 2: Get Employment Data for Workers in the "Retail Trade" Industry







      Example 3: Get Population Level Data for Workers





 Series Title: Employment Level: Nonagriculture, Unpaid Family Workers, 55-64 years: 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

Unemployment data for every county in the U.S..
Click for Illinois counties, then follow the example for your state

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