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 Series Title: Employment Level: Agriculture and Related Industries, Unpaid Family Workers, 45-54 years, Women: 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 4482.
 1976 07 7284.
 1976 08 4193·
 1976 09 3964·
 1976 10 8181·
 1976 11 8450.
 1976 12 6634·
 1977 01  7537.
 1977 02  4141.
 1977 03  5043·
 1977 04  4846.
 1977 05  6780.
 1977 06  7474.
 1977 07  5374·
 1977 08  163.
 1977 09  5755·
 1977 10  5563·
 1977 11  9870.
 1977 12  6145.
 1978 01 1637·
 1978 02 8632.
 1978 03 1961·
 1978 04 9263·
 1978 05 3754·
 1978 06 9077·
 1978 07 7093·
 1978 08 8268.
 1978 09 3965.
 1978 10 1973·
 1978 11 3546·
 1978 12 4440.
 1979 01  6834.
 1979 02  4741·
 1979 03  1934.
 1979 04  1542·
 1979 05  9165·
 1979 06  7668·
 1979 07  5476·
 1979 08  5883·
 1979 09  260.
 1979 10  3168·
 1979 11  9750.
 1979 12  6244.
 1980 01 2238.
 1980 02 6233.
 1980 03 3032.
 1980 04 3928·
 1980 05 9447·
 1980 06 4552·
 1980 07 5960·
 1980 08 2754·
 1980 09 8867.
 1980 10 7971.
 1980 11 1555·
 1980 12 8950·
 1981 01  9633·
 1981 02  9031·
 1981 03  5639.
 1981 04  1345.
 1981 05  4045·
 1981 06  3048·
 1981 07  6369·
 1981 08  1149·
 1981 09  6252·
 1981 10  7258.
 1981 11  4348.
 1981 12  2224·
 1982 01 3233.
 1982 02 1830.
 1982 03 2730·
 1982 04 927.
 1982 05 4427·
 1982 06 9233.
 1982 07 7248.
 1982 08 5943·
 1982 09 1752.
 1982 10 4650·
 1982 11 5940·
 1982 12 8519·
 1983 01  9621·
 1983 02  5419·
 1983 03  9630·
 1983 04  2628.
 1983 05  4941.
 1983 06  1851.
 1983 07  1347.
 1983 08  4446.
 1983 09  7040·
 1983 10  6233.
 1983 11  6931·
 1983 12  2624·
 1984 01 7930.
 1984 02 3629.
 1984 03 4325.
 1984 04 8732.
 1984 05 2141.
 1984 06 1761.
 1984 07 4349·
 1984 08 6336.
 1984 09 6334·
 1984 10 444.
 1984 11 130·
 1984 12 1835.
 1985 01  028.
 1985 02  2430·
 1985 03  7332.
 1985 04  3930·
 1985 05  5234.
 1985 06  2518·
 1985 07  4034.
 1985 08  4028·
 1985 09  6221.
 1985 10  8532·
 1985 11  1025.
 1985 12  5819·
 1986 01 9919·
 1986 02 216·
 1986 03 1430·
 1986 04 5628.
 1986 05 5830.
 1986 06 425.
 1986 07 827.
 1986 08 2324.
 1986 09 5934·
 1986 10 3940.
 1986 11 7523·
 1986 12 7011·
 1987 01  449·
 1987 02  8310·
 1987 03  2110.
 1987 04  3719·
 1987 05  8323.
 1987 06  3731·
 1987 07  7725·
 1987 08  8521·
 1987 09  7121·
 1987 10  2624.
 1987 11  112.
 1987 12  223·
 1988 01 2515.
 1988 02 113.
 1988 03 7320.
 1988 04 324.
 1988 05 9222·
 1988 06 3629.
 1988 07 122·
 1988 08 2420·
 1988 09 3919.
 1988 10 3334.
 1988 11 1618·
 1988 12 2821·
 1989 01  6128·
 1989 02  1618.
 1989 03  7513.
 1989 04  317·
 1989 05  7718.
 1989 06  3716.
 1989 07  5927.
 1989 08  6232·
 1989 09  3115·
 1989 10  7017·
 1989 11  7518·
 1989 12  4410·
 1990 01 937·
 1990 02 1515.
 1990 03 5517·
 1990 04 1021.
 1990 05 5517.
 1990 06 9918.
 1990 07 5622.
 1990 08 4911.
 1990 09 3912.
 1990 10 7217·
 1990 11 5817.
 1990 12 747.
 1991 01  8710·
 1991 02  813·
 1991 03  6919.
 1991 04  2218.
 1991 05  6920.
 1991 06  914·
 1991 07  2017.
 1991 08  5720.
 1991 09  7818·
 1991 10  016.
 1991 11  6817.
 1991 12  6617.
 1992 01 3516·
 1992 02 309.
 1992 03 9514.
 1992 04 6211.
 1992 05 8315·
 1992 06 7719.
 1992 07 721.
 1992 08 8415·
 1992 09 929.
 1992 10 3913·
 1992 11 3527·
 1992 12 9310·
 1993 01  5514.
 1993 02  4319.
 1993 03  3812.
 1993 04  7915·
 1993 05  9213·
 1993 06  3819·
 1993 07  9511.
 1993 08  5315.
 1993 09  467.
 1993 10  114.
 1993 11  1416·
 1993 12  5412.
 1994 01 888.
 1994 02 318·
 1994 03 263.
 1994 04 44
 1994 05 102.
 1994 06 543·
 1994 07 89
 1994 08 123.
 1994 09 33
 1994 10 207·
 1994 11 833.
 1994 12 715.
 1995 01  04.
 1995 02  53·
 1995 03  154·
 1995 04  578·
 1995 05  819·
 1995 06  911.
 1995 07  189·
 1995 08  356·
 1995 09  695.
 1995 10  574.
 1995 11  475·
 1995 12  921·
 1996 01 841.
 1996 02 16.
 1996 04 840·
 1996 05 413.
 1996 06 704.
 1996 07 144·
 1996 08 364·
 1996 09 198.
 1996 10 9612·
 1996 11 984·
 1996 12 347.
 1997 02  901·
 1997 03  56
 1997 04  781.
 1997 05  361.
 1997 06  420·
 1997 07  700.
 1997 08  51.
 1997 09  233.
 1997 10  874·
 1997 11  81
 1997 12  542·
 1998 01 11.
 1998 02 640.
 1998 04 594.
 1998 05 242.
 1998 06 25·
 1998 07 350.
 1998 08 970.
 1998 09 420.
 1998 10 82
 1998 11 881·
 1998 12 163·
 1999 01  591.
 1999 02  256.
 1999 03  366.
 1999 04  580·
 1999 05  481·
 1999 06  352.
 1999 07  172·
 1999 08  941·
 1999 10  11
 1999 11  44
 1999 12  941.
 2000 01 175.
 2000 02 745.
 2000 03 101.
 2000 04 551.
 2000 05 461.
 2000 06 865·
 2000 07 142·
 2000 08 126·
 2000 09 26
 2000 10 232.
 2000 11 633·
 2001 02  43·
 2001 03  265.
 2001 04  853·
 2001 05  888·
 2001 06  938·
 2001 07  406.
 2001 08  987·
 2001 09  451.
 2001 10  671.
 2001 11  872·
 2001 12  120.
 2002 09 171·
 2002 12 402.
 2003 01  110.
 2003 02  32.
 2003 03  102.
 2003 04  492·
 2003 05  814·
 2003 07  701.
 2003 08  563.
 2003 09  561·
 2003 10  92
 2003 12  401·
 2004 01 121.
 2004 03 511·
 2004 07 62
 2004 08 636·
 2004 09 585.
 2004 10 459.
 2004 11 364·
 2004 12 134.
 2005 01  24.
 2005 02  77
 2005 03  833·
 2005 04  925.
 2005 05  762·
 2005 06  92.
 2005 07  975·
 2005 08  253·
 2005 09  354·
 2005 10  306·
 2005 11  976.
 2005 12  62
 2006 01 622·
 2006 02 520.
 2006 03 283.
 2006 07 783.
 2006 08 633.
 2006 09 133.
 2006 10 58
 2006 11 750·
 2006 12 701.
 2007 03  772.
 2007 04  812·
 2007 05  77
 2007 06  40
 2007 07  305.
 2007 08  173·
 2007 09  353.
 2007 10  54
 2007 11  863.
 2008 02 102·
 2008 03 242·
 2008 04 182·
 2008 05 835.
 2008 09 302.
 2008 10 446.
 2008 11 664·
 2008 12 843·
 2009 01  691·
 2009 05  221.
 2009 06  521.
 2009 07  761·
 2009 08  470.
 2009 09  70.
 2009 10  590·
 2009 11  720.
 2009 12  92.
 2010 01 754.
 2010 02 930.
 2010 03 11
 2010 04 243·
 2010 05 256.
 2010 06 866·
 2010 07 556·
 2010 08 85
 2010 09 853.
 2010 10 950.
 2010 11 922.
 2010 12 120.
 2011 01  30·
 2011 02  10·
 2011 03  360·
 2011 04  494.
 2011 05  554.
 2011 06  124.
 2011 07  234.
 2011 08  653.
 2011 09  430·
 2011 10  573·
 2011 11  160.
 2011 12  550·
 2012 01 906·
 2012 02 957.
 2012 03 54.
 2012 04 374·
 2012 05 486.
 2012 06 77·
 2012 07 110.
 2012 08 55
 2012 09 914·
 2012 10 03.
 2012 11 420.
 2012 12 7910·
 2013 01  217·
 2013 02  44·
 2013 03  924·
 2013 04  30·
 2013 05  630.
 2013 06  77
 2013 07  380.
 2013 08  460.
 2013 09  670·
 2013 10  1
 2013 11  93
 2013 12  523·
 2014 01 85.
 2014 02 820·
 2014 03 950·
 2014 04 91
 2014 05 864.
 2014 06 513·
 2014 07 70·
 2014 08 56
 2014 09 290.
 2014 10 660·
 2014 11 170·
 2014 12 664.
 2015 01  843·
 2015 02  83·
 2015 03  370·
 2015 04  660·
 2015 05  290.
 2015 06  834·
 2015 07  61.
 2015 08  251·
 2015 09  63
 2015 10  241·
 2015 11  870·
 2015 12  363·
 2016 01 120.
 2016 02 870.
 2016 03 670.
 2016 04 200·
 2016 05 260.
 2016 06 53
 2016 07 590·
 2016 08 201·
 2016 09 813·
 2016 10 292·
 2016 11 13·
 2016 12 64·
 2017 01  764.
 2017 02  474·
 2017 03  56


 2017 04  710·
 2017 05  381.
 2017 06  641·
 2017 07  121·
 2017 08  343·
 2017 09  170·
 2017 10  600.
 2017 11  820·
 2017 12  410.
 2018 01 871.
 2018 02 441·
 2018 03 4
 2018 04 591·
 2018 05 50
 2018 06 463.
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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, 45-54 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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