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 Series Title: Employment Level: Nonagriculture, Unpaid Family Workers, 18-19 years, Women: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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 2012 04 440.
 2012 03 390·
 2012 02 920.
 2012 01 628.
 2011 12  332.
 2011 11  88
 2011 10  160.
 2011 09  333·
 2011 08  380.
 2011 07  85
 2011 06  900.
 2011 05  520·
 2011 04  95·
 2011 03  120.
 2011 02  280·
 2011 01  642.
 2010 12 237·
 2010 11 767.
 2010 10 674·
 2010 09 380·
 2010 08 792.
 2010 07 80·
 2010 06 710.
 2010 05 680.
 2010 04 30.
 2010 03 660.
 2010 02 280·
 2010 01 73
 2009 12  460.
 2009 11  30
 2009 10  500.
 2009 09  970.
 2009 08  820·
 2009 07  713.
 2009 06  754.
 2009 03  100.
 2008 04 122·
 2007 08  29
 2007 06  670·
 2007 01  6
 2006 10 610.
 2006 07 530.
 2006 05 123.
 2005 12  40.
 2005 11  810.
 2005 06  602.
 2004 10 242·
 2004 09 472.
 2004 08 463.
 2004 07 573·
 2004 05 422·
 2004 04 62.
 2004 01 565.
 2003 12  764.
 2003 11  274·
 2003 07  733.
 2003 06  374·
 2003 05  733·
 2003 03  672.
 2003 02  692·
 2003 01  402·
 2002 12 294.
 2002 11 765.
 2002 09 384.
 2002 06 40
 2002 02 521.
 2001 12  915·
 2001 11  483.
 2001 08  36
 2001 06  731·
 2001 04  764.
 2001 03  948.
 2001 02  5611·
 2001 01  492.
 2000 12 182.
 2000 08 956.
 2000 07 48
 2000 04 616.
 2000 03 305·
 2000 02 957·
 2000 01 897.
 1999 12  163·
 1999 06  493.
 1999 01  632.
 1998 10 782.
 1998 07 453.
 1998 04 402.
 1997 12  930.
 1997 11  420.
 1997 10  61.
 1997 09  892·
 1997 08  53.
 1997 07  304.
 1997 06  801.
 1997 05  100·
 1997 04  430·
 1997 03  180.
 1997 02  741.
 1997 01  413.
 1996 12 759.
 1996 11 75·
 1996 10 180.
 1996 09 432·
 1996 08 962·
 1996 06 214·
 1996 05 714.
 1996 04 61·
 1996 03 252·
 1996 01 112.
 1995 12  133.
 1995 11  430·
 1995 10  71·
 1995 09  531·
 1995 08  512·
 1995 07  903.
 1995 06  97·
 1995 05  476.
 1995 04  178·
 1995 03  1110·
 1995 02  282.
 1995 01  180·
 1994 12 671·
 1994 11 952·
 1994 10 801.
 1994 08 160.
 1994 07 836.
 1994 04 52
 1994 03 121.
 1994 02 184.
 1993 10  724.
 1993 09  237.
 1993 08  91
 1993 07  23
 1993 06  661·
 1993 05  693.
 1993 04  13
 1993 02  573.
 1993 01  203.
 1992 12 782·
 1992 11 951·
 1992 10 702.
 1992 09 172·
 1992 08 6410·
 1992 07 833.
 1992 06 38
 1992 05 63
 1992 04 643·
 1992 03 455.
 1992 02 612·
 1992 01 902.
 1991 12  412.
 1991 08  762·
 1991 07  644.
 1991 06  553·
 1991 01  832·
 1990 10 951·
 1990 09 981·
 1990 08 381.
 1990 07 3
 1990 06 465·
 1990 05 3810·
 1990 04 486.
 1990 03 392.
 1990 01 978·
 1989 12  855.
 1989 11  154.
 1989 10  532·
 1989 09  446.
 1989 08  643.
 1989 07  964.
 1989 06  34
 1989 05  52.
 1989 03  251.
 1989 02  731.
 1989 01  94
 1988 12 244·
 1988 11 436·
 1988 09 521·
 1988 07 711.
 1988 06 717·
 1988 04 201·
 1988 01 652.
 1987 10  291·
 1987 09  402.
 1987 07  816·
 1987 06  696·
 1987 05  552.
 1987 04  49
 1987 03  752.
 1987 02  451.
 1987 01  621.
 1986 11 441·
 1986 10 798.
 1986 09 07.
 1986 08 876·
 1986 07 928·
 1986 06 926·
 1986 05 662.
 1986 04 954.
 1986 03 891·
 1986 02 413·
 1986 01 993·
 1985 12  72
 1985 11  544.
 1985 10  753.
 1985 09  812·
 1985 08  325.
 1985 07  29
 1985 06  70
 1985 05  186.
 1985 04  12
 1985 02  861.
 1985 01  261.
 1984 12 433.
 1984 11 75
 1984 10 17
 1984 09 693·
 1984 07 113·
 1984 06 104·
 1984 05 433.
 1984 04 482.
 1984 03 46·
 1984 02 293.
 1984 01 63.
 1983 12  413·
 1983 11  309.
 1983 10  692.
 1983 09  778.
 1983 08  467.
 1983 07  1911.
 1983 06  9511·
 1983 05  498·
 1983 04  896.
 1983 03  296·
 1983 02  943.
 1983 01  422·
 1982 12 21
 1982 11 412.
 1982 10 784.
 1982 09 993.
 1982 08 177·
 1982 07 619.
 1982 06 8511·
 1982 05 909·
 1982 04 7712.
 1982 03 229.
 1982 02 809·
 1982 01 105.
 1981 12  27
 1981 11  792·
 1981 10  481·
 1981 09  764.
 1981 08  173·
 1981 07  152.
 1981 06  45.
 1981 05  336.
 1981 04  236.
 1981 03  363.
 1981 02  854.
 1981 01  512·
 1980 12 453.
 1980 11 753·
 1980 10 54
 1980 09 245·
 1980 08 84.
 1980 07 861.
 1980 06 985.
 1980 05 702·
 1980 04 625.
 1980 03 534.
 1980 02 323.
 1980 01 342.
 1979 12  841.
 1979 11  81
 1979 10  925·
 1979 09  845.
 1979 08  749.
 1979 07  35.
 1979 06  424·
 1979 05  163.
 1979 04  565·
 1979 03  756.
 1979 02  691·
 1979 01  486·
 1978 12 825.
 1978 11 781.
 1978 10 872.
 1978 09 253.
 1978 08 2610·
 1978 07 2017.
 1978 06 3311.
 1978 05 1515·
 1978 04 898·
 1978 03 323·
 1978 02 704.
 1978 01 124.
 1977 12  974·
 1977 11  704·
 1977 10  864.
 1977 09  379.
 1977 08  09·
 1977 07  176.
 1977 06  949·
 1977 05  3210.
 1977 04  734.
 1977 03  7811·
 1977 02  329.
 1977 01  6810·
 1976 12 1611·
 1976 11 8610.
 1976 10 633.
 1976 09 374·
 1976 08 569·
 1976 07 979.
 1976 06 747.
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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, 18-19 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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