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 Series Title: Employment Level: Nonagriculture, Unpaid Family Workers, 25-34 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 32·
 2012 03 582.
 2012 02 822·
 2012 01 776·
 2011 12  701.
 2011 11  900·
 2011 10  680.
 2011 09  657.
 2011 08  2211·
 2011 07  3910.
 2011 06  7414.
 2011 05  7115·
 2011 04  1021·
 2011 03  8713.
 2011 02  134.
 2011 01  3816.
 2010 12 910·
 2010 11 4113.
 2010 10 228·
 2010 09 364·
 2010 08 193.
 2010 07 324.
 2010 06 641.
 2010 05 59
 2010 04 669·
 2010 03 167·
 2010 02 2810·
 2010 01 250·
 2009 12  9913.
 2009 11  7611.
 2009 10  256.
 2009 09  806·
 2009 08  954.
 2009 07  190·
 2009 06  95
 2009 05  931·
 2009 04  543.
 2009 03  745.
 2008 12 993.
 2008 11 563·
 2008 10 2
 2008 09 03·
 2008 08 272.
 2008 07 906.
 2008 06 879·
 2008 05 797·
 2008 04 904.
 2008 03 398.
 2008 02 873.
 2008 01 15
 2007 12  2716.
 2007 11  7214·
 2007 10  115·
 2007 09  4211.
 2007 08  04.
 2007 07  823.
 2007 06  552.
 2007 05  1612.
 2007 04  979.
 2007 03  9012.
 2007 02  9911.
 2007 01  1913·
 2006 12 326·
 2006 11 3912·
 2006 10 910.
 2006 09 5622·
 2006 08 4120.
 2006 07 9824·
 2006 06 8518.
 2006 05 6114.
 2006 04 8921·
 2006 03 6211.
 2006 02 513.
 2005 12  890·
 2005 11  633·
 2005 10  493·
 2005 09  606.
 2005 08  228.
 2005 07  754·
 2005 06  55.
 2005 05  864.
 2005 04  67
 2005 03  653.
 2005 02  979.
 2005 01  293.
 2004 12 554·
 2004 11 9311.
 2004 10 2014·
 2004 09 1517·
 2004 08 4320·
 2004 07 509.
 2004 06 9410·
 2004 05 9513.
 2004 04 1312·
 2004 03 4611.
 2004 02 618·
 2004 01 4313·
 2003 12  7110.
 2003 11  216·
 2003 10  938.
 2003 09  60
 2003 08  494·
 2003 07  375.
 2003 06  8210.
 2003 05  7218·
 2003 04  420·
 2003 03  8223.
 2003 02  4811·
 2003 01  2910·
 2002 12 179·
 2002 11 6915.
 2002 10 3513·
 2002 09 613.
 2002 08 9514.
 2002 07 364.
 2002 06 110.
 2002 05 33.
 2002 03 695·
 2002 02 457.
 2002 01 7210·
 2001 12  4712.
 2001 11  975·
 2001 10  857·
 2001 09  379.
 2001 08  866.
 2001 07  590.
 2001 06  6912·
 2001 05  4913·
 2001 04  9813.
 2001 03  6320·
 2001 02  347.
 2001 01  7716.
 2000 12 8213.
 2000 11 3929.
 2000 10 4319·
 2000 09 164·
 2000 08 6410·
 2000 07 4610·
 2000 06 852.
 2000 05 863·
 2000 04 9313·
 2000 03 6416·
 2000 02 7112·
 2000 01 2920.
 1999 12  466.
 1999 11  017·
 1999 10  4016.
 1999 09  1510.
 1999 08  2212·
 1999 07  85
 1999 06  5614·
 1999 05  397·
 1999 04  484.
 1999 03  7710.
 1999 02  411.
 1999 01  198·
 1998 12 7415.
 1998 11 5717.
 1998 10 016.
 1998 09 012.
 1998 08 7410.
 1998 07 3113.
 1998 06 8015.
 1998 05 5116.
 1998 04 4916·
 1998 03 3214.
 1998 02 716·
 1998 01 6614.
 1997 12  2614·
 1997 11  155·
 1997 10  7014.
 1997 09  63
 1997 08  5315.
 1997 07  6314·
 1997 06  8116·
 1997 05  8830.
 1997 04  724.
 1997 03  8222·
 1997 02  7821·
 1997 01  928·
 1996 12 8821·
 1996 11 419.
 1996 10 2426·
 1996 09 2019.
 1996 08 2121.
 1996 07 8522.
 1996 06 729·
 1996 05 4216.
 1996 04 5610.
 1996 03 719·
 1996 02 3912·
 1996 01 166.
 1995 12  709.
 1995 11  77
 1995 10  5913·
 1995 09  1423.
 1995 08  6210·
 1995 07  268·
 1995 06  3010.
 1995 05  2917.
 1995 04  5818.
 1995 03  1112.
 1995 02  397·
 1995 01  807·
 1994 12 96.
 1994 11 14
 1994 10 9913.
 1994 09 1116.
 1994 08 8922·
 1994 07 4120·
 1994 06 4930.
 1994 05 9228·
 1994 04 9833·
 1994 03 2421·
 1994 02 5115·
 1994 01 1631·
 1993 12  6431·
 1993 11  1929.
 1993 10  9229·
 1993 09  336·
 1993 08  3531·
 1993 07  926·
 1993 06  8717.
 1993 05  9726·
 1993 04  8730.
 1993 03  9934·
 1993 02  7225.
 1993 01  6724.
 1992 12 2125·
 1992 11 2234.
 1992 10 1122.
 1992 09 723.
 1992 08 6227·
 1992 07 3429.
 1992 06 9123.
 1992 05 3646.
 1992 04 6033.
 1992 03 1731.
 1992 02 2623.
 1992 01 9924·
 1991 12  9133·
 1991 11  7733·
 1991 10  5334·
 1991 09  6426.
 1991 08  5552.
 1991 07  4634·
 1991 06  3537·
 1991 05  2626·
 1991 04  7841.
 1991 03  8137.
 1991 02  6124·
 1991 01  422·
 1990 12 930·
 1990 11 6331·
 1990 10 4222·
 1990 09 4246.
 1990 08 2536.
 1990 07 9931.
 1990 06 1832·
 1990 05 940.
 1990 04 2544·
 1990 03 2039.
 1990 02 5034.
 1990 01 9926·
 1989 12  3636·
 1989 11  8438·
 1989 10  2648.
 1989 09  3256.
 1989 08  750·
 1989 07  7249.
 1989 06  6137·
 1989 05  5156.
 1989 04  1432·
 1989 03  9055·
 1989 02  9044·
 1989 01  2643.
 1988 12 5758·
 1988 11 7065.
 1988 10 7846.
 1988 09 5142.
 1988 08 6249.
 1988 07 6949.
 1988 06 1353·
 1988 05 4555·
 1988 04 7950.
 1988 03 6957.
 1988 02 654.
 1988 01 5257.
 1987 12  8339.
 1987 11  7525.
 1987 10  9645·
 1987 09  4169·
 1987 08  7644·
 1987 07  2054·
 1987 06  4749.
 1987 05  652.
 1987 04  8144·
 1987 03  6147.
 1987 02  4542.
 1987 01  6733.
 1986 12 5034.
 1986 11 7839.
 1986 10 445·
 1986 09 6852·
 1986 08 5842·
 1986 07 8046·
 1986 06 6138.
 1986 05 7831·
 1986 04 538.
 1986 03 9632.
 1986 02 8035.
 1986 01 9037·
 1985 12  1741.
 1985 11  8449·
 1985 10  4836·
 1985 09  2547·
 1985 08  4549·
 1985 07  2648·
 1985 06  7861·
 1985 05  2538·
 1985 04  6343.
 1985 03  2846.
 1985 02  956·
 1985 01  6262·
 1984 12 7158.
 1984 11 2254·
 1984 10 271.
 1984 09 2760.
 1984 08 9752·
 1984 07 6550·
 1984 06 4651·
 1984 05 4241.
 1984 04 8854.
 1984 03 3744·
 1984 02 5559·
 1984 01 4965·
 1983 12  2276·
 1983 11  4663·
 1983 10  6556·
 1983 09  1859.
 1983 08  9950·
 1983 07  2453.
 1983 06  3961·
 1983 05  4465·
 1983 04  4368·
 1983 03  2771.
 1983 02  6647.
 1983 01  4459.
 1982 12 654.
 1982 11 3658.
 1982 10 5861.
 1982 09 6461·
 1982 08 6257·
 1982 07 5971.
 1982 06 5464.
 1982 05 7261·
 1982 04 1375·
 1982 03 2666·
 1982 02 1648.
 1982 01 6369.
 1981 12  8374·
 1981 11  9679.
 1981 10  3189·
 1981 09  5694·
 1981 08  2387·
 1981 07  4887·
 1981 06  1461·
 1981 05  9593·
 1981 04  876.
 1981 03  9079·
 1981 02  151.
 1981 01  4954·
 1980 12 3860·
 1980 11 5477·
 1980 10 5779.
 1980 09 1292·
 1980 08 4071.
 1980 07 9677·
 1980 06 6773·
 1980 05 384.
 1980 04 6356.
 1980 03 9873·
 1980 02 4756·
 1980 01 6753·
 1979 12  8363·
 1979 11  6665.
 1979 10  3264·
 1979 09  7272.
 1979 08  090·
 1979 07  3294·
 1979 06  8778·
 1979 05  1392·
 1979 04  4072·
 1979 03  5383.
 1979 02  9963·
 1979 01  1083·
 1978 12 5377·
 1978 11 1172·
 1978 10 8188.
 1978 09 590.
 1978 08 1476.
 1978 07 1187·
 1978 06 7258.
 1978 05 6885.
 1978 04 2396·
 1978 03 8696·
 1978 02 3284·
 1978 01 9478.
 1977 12  770·
 1977 11  9296.
 1977 10  5282.
 1977 09  188·
 1977 08  1692.
 1977 07  1186·
 1977 06  4384·
 1977 05  34109·
 1977 04  2496.
 1977 03  50120·
 1977 02  4473·
 1977 01  6263.
 1976 12 3373.
 1976 11 4070·
 1976 10 1775·
 1976 09 7865·
 1976 08 6871.
 1976 07 3872.
 1976 06 5164.
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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.
or alter the examples after this blank template.







      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, 25-34 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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