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 Series Title: Employment Level: Agriculture and Related Industries, Unpaid Family Workers, 35-44 years: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Yearly Chart  |  Excel file  |  Self-updating Excel file
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 1976 06 6256·
 1976 07 3654.
 1976 08 7259·
 1976 09 663.
 1976 10 9471.
 1976 11 9662·
 1976 12 7653.
 1977 01  2638·
 1977 02  1738·
 1977 03  8133.
 1977 04  655.
 1977 05  6975.
 1977 06  8279·
 1977 07  7083.
 1977 08  7564·
 1977 09  8148.
 1977 10  6454·
 1977 11  7163·
 1977 12  2138·
 1978 01 2930·
 1978 02 6332.
 1978 03 1540·
 1978 04 640·
 1978 05 952.
 1978 06 657·
 1978 07 6077.
 1978 08 1852·
 1978 09 3946.
 1978 10 4257.
 1978 11 8644.
 1978 12 7141·
 1979 01  6320.
 1979 02  4625·
 1979 03  040.
 1979 04  242·
 1979 05  5055·
 1979 06  2065.
 1979 07  3571·
 1979 08  7448·
 1979 09  9648.
 1979 10  8762·
 1979 11  4649·
 1979 12  7640·
 1980 01 1830·
 1980 02 025.
 1980 03 1530·
 1980 04 1949·
 1980 05 6168.
 1980 06 3371.
 1980 07 4985.
 1980 08 4262.
 1980 09 9458·
 1980 10 8759.
 1980 11 8049.
 1980 12 840.
 1981 01  1135·
 1981 02  8743.
 1981 03  6338.
 1981 04  444.
 1981 05  3239.
 1981 06  8347.
 1981 07  8251.
 1981 08  4444·
 1981 09  033.
 1981 10  5147.
 1981 11  4248·
 1981 12  6525.
 1982 01 8531.
 1982 02 9132.
 1982 03 7525·
 1982 04 3035.
 1982 05 8043.
 1982 06 2958·
 1982 07 3855.
 1982 08 2857·
 1982 09 644·
 1982 10 1546·
 1982 11 1242·
 1982 12 7127·
 1983 01  520.
 1983 02  2421·
 1983 03  437·
 1983 04  9625·
 1983 05  4835.
 1983 06  5750·
 1983 07  4645·
 1983 08  6841.
 1983 09  2836.
 1983 10  3940.
 1983 11  9434·
 1983 12  7331·
 1984 01 6426.
 1984 02 2020·
 1984 03 3030.
 1984 04 2534·
 1984 05 244.
 1984 06 7752·
 1984 07 6158.
 1984 08 6157·
 1984 09 943.
 1984 10 833.
 1984 11 1731.
 1984 12 4536·
 1985 01  7936.
 1985 02  4129·
 1985 03  5755.
 1985 04  6433·
 1985 05  3349·
 1985 06  2541.
 1985 07  6144.
 1985 08  3132.
 1985 09  1424·
 1985 10  3523.
 1985 11  3622.
 1985 12  8418·
 1986 01 9121·
 1986 02 7214.
 1986 03 1433·
 1986 04 8621.
 1986 05 5930.
 1986 06 6142·
 1986 07 5238.
 1986 08 2527·
 1986 09 3716.
 1986 10 5326·
 1986 11 3031·
 1986 12 1418·
 1987 01  6826.
 1987 02  2316·
 1987 03  5618.
 1987 04  9021.
 1987 05  2224·
 1987 06  7119·
 1987 07  6216.
 1987 08  1721·
 1987 09  9314.
 1987 10  2424·
 1987 11  340·
 1987 12  8225.
 1988 01 025.
 1988 02 3028·
 1988 03 6216·
 1988 04 9916.
 1988 05 8736.
 1988 06 6635.
 1988 07 4526·
 1988 08 525·
 1988 09 2413·
 1988 10 3325·
 1988 11 8422.
 1988 12 6321.
 1989 01  515·
 1989 02  5419.
 1989 03  3634·
 1989 04  6126.
 1989 05  4835.
 1989 06  8141·
 1989 07  8230.
 1989 08  1126·
 1989 09  9826·
 1989 10  9020.
 1989 11  2922·
 1989 12  5322.
 1990 01 248.
 1990 02 809.
 1990 03 815.
 1990 04 4819.
 1990 05 2129.
 1990 06 7727.
 1990 07 7620·
 1990 08 8520·
 1990 09 627·
 1990 10 3222.
 1990 11 1516·
 1990 12 7611·
 1991 01  2519.
 1991 02  1922·
 1991 03  3120.
 1991 04  5912.
 1991 05  4729·
 1991 06  3921·
 1991 07  5728·
 1991 08  9816·
 1991 09  6517.
 1991 10  1813·
 1991 11  4812.
 1991 12  7910·
 1992 01 9912·
 1992 02 616.
 1992 03 8611·
 1992 04 1718·
 1992 05 9313.
 1992 06 7836.
 1992 07 7825·
 1992 08 4826.
 1992 09 1716.
 1992 10 3522·
 1992 11 5624·
 1992 12 375.
 1993 01  6313·
 1993 02  120.
 1993 03  7624.
 1993 04  7019.
 1993 05  5226.
 1993 06  2935.
 1993 07  2024·
 1993 08  6022·
 1993 09  2833.
 1993 10  9217·
 1993 11  9414·
 1993 12  4616·
 1994 01 594.
 1994 02 912.
 1994 03 314·
 1994 04 917·
 1994 05 40
 1994 06 538.
 1994 07 8610·
 1994 08 81
 1994 09 904.
 1994 10 261.
 1994 11 422·
 1994 12 315·
 1995 01  533.
 1995 02  863·
 1995 03  49.
 1995 04  7714·
 1995 05  9813·
 1995 06  3514.
 1995 07  615·
 1995 08  8412·
 1995 09  206.
 1995 10  965·
 1995 11  33.
 1995 12  385·
 1996 01 375.
 1996 02 223.
 1996 03 773·
 1996 04 535.
 1996 05 947.
 1996 06 867·
 1996 07 346.
 1996 08 6710·
 1996 09 604.
 1996 10 894·
 1996 11 79·
 1996 12 424.
 1997 01  298·
 1997 02  581·
 1997 03  512·
 1997 04  664·
 1997 05  208·
 1997 06  4110.
 1997 07  4913.
 1997 08  5311·
 1997 09  779.
 1997 10  156.
 1997 11  86.
 1997 12  393.
 1998 01 694.
 1998 02 804.
 1998 03 587·
 1998 04 89
 1998 05 915·
 1998 06 622.
 1998 07 576.
 1998 08 907·
 1998 09 62
 1998 10 102.
 1998 11 857·
 1998 12 54
 1999 02  251·
 1999 03  05.
 1999 04  511·
 1999 05  201·
 1999 06  515.
 1999 07  3317·
 1999 08  8518·
 1999 09  5118.
 1999 10  3222.
 1999 11  347·
 1999 12  448·
 2000 01 344.
 2000 02 892·
 2000 03 532·
 2000 04 93·
 2000 05 837.
 2000 06 654.
 2000 07 657.
 2000 08 886.
 2000 09 356.
 2000 10 303·
 2000 11 720.
 2000 12 12
 2001 01  530.
 2001 02  770.
 2001 03  980.
 2001 04  372·
 2001 05  256.
 2001 06  264·
 2001 07  945.
 2001 08  462.
 2001 09  643.
 2001 10  215.
 2001 12  36
 2002 02 450.
 2002 03 73·
 2002 04 313.
 2002 05 223.
 2002 07 654·
 2002 08 19
 2002 09 502·
 2002 10 805·
 2002 11 635.
 2002 12 865·
 2003 01  987.
 2003 02  60
 2003 03  21
 2003 04  211.
 2003 05  180·
 2003 06  360·
 2003 07  453·
 2003 08  630.
 2003 09  802·
 2003 10  9
 2003 11  683.
 2003 12  745.
 2004 01 775.
 2004 02 52·
 2004 03 455·
 2004 05 432·
 2004 06 302.
 2004 07 747.
 2004 08 59
 2004 09 812.
 2004 10 812.
 2005 01  912·
 2005 02  155·
 2005 03  283.
 2005 04  12.
 2005 06  57
 2005 07  47
 2005 08  451.
 2005 09  831·
 2005 10  981·
 2005 11  91.
 2005 12  211·
 2006 01 463.
 2006 05 622·
 2006 06 856.
 2006 07 684.
 2006 08 350·
 2006 10 271·
 2007 01  802·
 2007 02  253·
 2007 03  193.
 2007 04  923.
 2007 05  261·
 2007 06  540·
 2007 07  927·
 2007 08  830·
 2007 09  804.
 2007 11  440·
 2007 12  730.
 2008 01 501·
 2008 02 232·
 2008 03 71·
 2008 04 62.
 2008 05 681·
 2008 12 634·
 2009 01  81
 2009 06  600.
 2009 07  380.
 2009 08  30
 2009 09  291·
 2009 10  302.
 2009 11  860·
 2009 12  823·
 2010 01 38
 2010 02 340·
 2010 03 613·
 2010 04 00·
 2010 05 233·
 2010 06 170.
 2010 07 393·
 2010 08 910.
 2010 09 203.
 2010 10 482.
 2010 11 212·
 2010 12 862.
 2011 01  932.
 2011 02  211.
 2011 03  314·
 2011 04  412·
 2011 05  291·
 2011 06  550·
 2011 07  211·
 2011 08  40
 2011 09  415.
 2011 10  955.
 2011 11  652.
 2011 12  883·
 2012 01 670·
 2012 02 83.
 2012 03 654.
 2012 04 16
 2012 05 718·
 2012 06 915·
 2012 07 450·
 2012 08 820·
 2012 09 390.
 2012 10 610.
 2012 11 550.
 2012 12 683.
 2013 01  86
 2013 02  633·
 2013 03  723·
 2013 04  793.
 2013 05  481·
 2013 06  66
 2013 07  950.
 2013 08  470.
 2013 09  89
 2013 10  650.
 2013 11  501·
 2013 12  303.
 2014 01 962.
 2014 02 774·
 2014 03 880.
 2014 04 90·
 2014 05 833·
 2014 06 480·
 2014 07 832·
 2014 08 890·
 2014 09 875·
 2014 10 460.
 2014 11 370.
 2014 12 41·
 2015 01  711.
 2015 02  674.
 2015 03  748.
 2015 04  109.
 2015 05  248.
 2015 06  285·
 2015 07  45
 2015 08  871.
 2015 09  574.
 2015 10  740·
 2015 11  250·
 2015 12  444.
 2016 01 9
 2016 02 741·
 2016 03 154.
 2016 04 110.
 2016 05 432·
 2016 06 232.
 2016 07 402·
 2016 08 460·
 2016 09 470·
 2016 10 380·
 2016 11 510.
 2016 12 290·
 2017 01  330.
 2017 02  661·
 2017 03  224·
 2017 04  68


 2017 05  403.
 2017 06  744.
 2017 07  550.
 2017 08  941·
 2017 09  30
 2017 10  571.
 2017 11  740·
 2017 12  641·
 2018 01 910.
 2018 02 340·
 2018 03 312.
 2018 04 591.
 2018 05 370.
 2018 06 490.
 2018 07 990.
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US Unemployment Rate: Alternative Measures of Labor Underutilization

Charts

Unemployment Rate and 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: Agriculture and Related Industries, Unpaid Family Workers, 35-44 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

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