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 Series Title: Employment Level: Nonagriculture, Unpaid Family Workers, 18-19 years, Men: NSA
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 2012 04 7110.
 2012 03 184.
 2012 02 215.
 2012 01 192·
 2011 12  78
 2011 11  620.
 2011 10  411.
 2011 09  131.
 2011 08  571·
 2011 07  102.
 2011 06  685·
 2011 05  123.
 2011 04  607·
 2011 03  450.
 2011 02  150.
 2011 01  594·
 2010 12 610.
 2010 11 732·
 2010 10 202.
 2010 09 25
 2010 08 60
 2010 07 2511.
 2010 06 4613·
 2010 05 32.
 2010 04 84
 2010 03 590.
 2010 02 800.
 2010 01 120·
 2009 12  82
 2009 11  553.
 2009 10  362·
 2009 09  984.
 2009 08  315·
 2009 07  212.
 2009 06  524·
 2009 05  285·
 2009 02  294·
 2008 12 896.
 2008 11 903.
 2008 10 96
 2008 09 43·
 2008 08 145.
 2008 06 381.
 2008 05 235·
 2008 04 47·
 2008 03 78
 2008 02 95.
 2008 01 522.
 2007 12  61·
 2007 11  892·
 2007 10  422.
 2007 09  530.
 2007 08  105·
 2007 07  788.
 2007 06  987·
 2007 05  19
 2007 04  416.
 2007 03  16·
 2007 02  676.
 2007 01  698·
 2006 12 50
 2006 09 402.
 2006 08 602·
 2006 07 482·
 2006 06 114·
 2006 02 13.
 2006 01 15
 2005 12  253.
 2005 11  274·
 2005 10  173.
 2005 06  975·
 2005 05  941·
 2005 04  211.
 2005 03  443.
 2005 02  912·
 2005 01  753·
 2004 12 442.
 2004 07 64
 2004 06 125.
 2004 05 102·
 2004 04 720·
 2004 03 82
 2004 02 978·
 2004 01 704·
 2003 12  55.
 2003 11  321·
 2003 09  94.
 2003 08  491·
 2003 06  682.
 2003 05  693·
 2003 04  363.
 2003 03  653·
 2003 02  131.
 2002 12 761·
 2002 11 915.
 2002 10 634.
 2002 05 132.
 2002 04 58
 2002 03 121.
 2002 02 121.
 2001 12  703.
 2001 11  483·
 2001 09  623.
 2001 08  72.
 2001 07  95·
 2001 06  18.
 2001 04  283·
 2001 03  6510.
 2001 02  807.
 2001 01  111.
 2000 12 237.
 2000 11 329.
 2000 10 595·
 2000 09 535.
 2000 08 866.
 2000 07 776.
 2000 06 4610·
 1999 12  894·
 1999 11  783·
 1999 10  934.
 1999 09  679·
 1999 08  655·
 1999 07  897·
 1999 06  02·
 1999 04  711·
 1999 03  64
 1999 02  311.
 1999 01  435.
 1998 10 352·
 1998 07 924.
 1998 06 424.
 1998 05 895·
 1998 04 594.
 1998 03 809·
 1998 02 854·
 1997 12  330·
 1997 11  673.
 1997 10  865.
 1997 08  4715·
 1997 07  956.
 1997 06  111.
 1997 05  904.
 1997 04  426.
 1997 03  197.
 1997 02  665.
 1996 12 05·
 1996 11 70·
 1996 10 730·
 1996 09 330·
 1996 08 471·
 1996 07 62.
 1996 06 5211·
 1996 05 36
 1996 04 885.
 1996 03 261.
 1996 02 755.
 1996 01 262·
 1995 11  42.
 1995 10  802·
 1995 09  866.
 1995 08  78
 1995 07  31.
 1995 06  60.
 1995 05  552·
 1995 04  931·
 1995 03  15
 1995 02  663.
 1995 01  755·
 1994 12 973·
 1994 11 973·
 1994 10 503.
 1994 09 654·
 1994 08 3911·
 1994 07 31
 1994 06 695.
 1994 04 707·
 1994 03 954.
 1994 02 240·
 1994 01 622·
 1993 12  591.
 1993 11  659.
 1993 10  8
 1993 09  915·
 1993 08  266.
 1993 07  7513·
 1993 06  383·
 1993 05  457.
 1993 04  908.
 1993 03  764.
 1993 02  9617.
 1993 01  3614·
 1992 12 952·
 1992 11 412.
 1992 09 90
 1992 08 210·
 1992 07 104.
 1992 06 73
 1992 05 518.
 1992 04 6
 1992 03 306·
 1992 01 977·
 1991 11  353·
 1991 10  361.
 1991 09  746.
 1991 08  61
 1991 07  254·
 1991 06  53.
 1991 05  851.
 1991 04  43
 1991 03  265.
 1991 02  502.
 1991 01  344·
 1990 12 434.
 1990 11 705.
 1990 10 352·
 1990 09 146.
 1990 08 866·
 1990 07 1410·
 1990 06 485.
 1990 05 438.
 1990 04 214.
 1990 03 416·
 1990 02 16·
 1990 01 672.
 1989 12  261.
 1989 10  551·
 1989 09  321·
 1989 08  559·
 1989 07  992.
 1989 06  891.
 1989 05  45.
 1989 04  06.
 1989 03  67
 1989 02  07.
 1989 01  54.
 1988 12 221·
 1988 11 805·
 1988 10 701.
 1988 09 488·
 1988 08 6510.
 1988 07 133·
 1988 06 416·
 1988 05 721·
 1988 04 996·
 1988 03 67
 1988 02 34
 1988 01 373·
 1987 12  163·
 1987 11  67
 1987 10  188·
 1987 09  349·
 1987 08  375.
 1987 07  635.
 1987 06  375·
 1987 05  73
 1987 04  54.
 1987 03  313.
 1987 02  975.
 1987 01  953.
 1986 12 895.
 1986 11 717.
 1986 10 304.
 1986 09 605.
 1986 08 8513.
 1986 07 99.
 1986 05 932·
 1986 04 585·
 1986 03 101·
 1986 01 944.
 1985 12  672.
 1985 11  05·
 1985 10  101.
 1985 08  33·
 1985 07  596.
 1985 06  265.
 1985 05  533.
 1985 04  368·
 1985 03  113.
 1985 02  9714·
 1985 01  336.
 1984 12 188·
 1984 11 498.
 1984 10 38·
 1984 09 6914.
 1984 08 010·
 1984 07 8517·
 1984 06 5412·
 1984 05 613.
 1984 04 5611.
 1984 03 1511·
 1984 02 9115·
 1984 01 1311.
 1983 12  8820·
 1983 11  7222·
 1983 10  748·
 1983 09  849.
 1983 08  21
 1983 06  127·
 1983 05  935.
 1983 03  388·
 1983 02  412.
 1983 01  1612·
 1982 12 609·
 1982 11 196·
 1982 10 1413·
 1982 09 916·
 1982 08 148.
 1982 07 96
 1982 06 515.
 1982 05 6912.
 1982 04 1612.
 1982 03 6410.
 1982 02 4114.
 1982 01 65·
 1981 12  556·
 1981 11  414.
 1981 10  335.
 1981 09  854.
 1981 08  44
 1981 07  726.
 1981 06  34.
 1981 05  115·
 1981 04  203.
 1981 03  26
 1981 02  518·
 1981 01  1619·
 1980 12 4713.
 1980 11 979.
 1980 10 318·
 1980 09 5821.
 1980 08 1216.
 1980 07 515.
 1980 06 1015.
 1980 05 1718.
 1980 04 2910.
 1980 03 926.
 1980 02 466·
 1980 01 012.
 1979 12  357.
 1979 11  295·
 1979 10  123·
 1979 09  396·
 1979 08  9211.
 1979 07  1012·
 1979 06  346·
 1979 05  9110.
 1979 04  907·
 1979 03  538.
 1979 02  618·
 1979 01  377·
 1978 12 418·
 1978 11 33·
 1978 09 704·
 1978 08 837.
 1978 07 827.
 1978 06 298.
 1978 05 606.
 1978 04 626·
 1978 03 7813·
 1978 02 259.
 1978 01 5713·
 1977 12  314.
 1977 11  143.
 1977 10  11
 1977 09  113·
 1977 08  709.
 1977 07  514.
 1977 06  3016.
 1977 05  9912.
 1977 04  8618·
 1977 03  897.
 1977 02  525·
 1977 01  19
 1976 12 116.
 1976 11 273·
 1976 10 7010.
 1976 09 987.
 1976 08 211·
 1976 07 915.
 1976 06 411·
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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, 18-19 years, Men: 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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