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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 8282·
 1976 07 6584.
 1976 08 5593·
 1976 09 1764·
 1976 10 4181.
 1976 11 1750.
 1976 12 4034·
 1977 01  3237·
 1977 02  9841·
 1977 03  9943·
 1977 04  5646.
 1977 05  7680.
 1977 06  274·
 1977 07  9274.
 1977 08  1763.
 1977 09  9455.
 1977 10  3063·
 1977 11  370.
 1977 12  6245.
 1978 01 5637·
 1978 02 8132·
 1978 03 6361·
 1978 04 5263·
 1978 05 5454·
 1978 06 8277.
 1978 07 3093·
 1978 08 7668.
 1978 09 1065.
 1978 10 8373·
 1978 11 8546·
 1978 12 4640·
 1979 01  6634·
 1979 02  5841.
 1979 03  3434.
 1979 04  242·
 1979 05  9165·
 1979 06  868·
 1979 07  976.
 1979 08  483·
 1979 09  8160.
 1979 10  6068.
 1979 11  6850.
 1979 12  4244.
 1980 01 5338·
 1980 02 6233·
 1980 03 9132.
 1980 04 2828.
 1980 05 5347·
 1980 06 9152·
 1980 07 8560.
 1980 08 054·
 1980 09 4967·
 1980 10 4771·
 1980 11 8155·
 1980 12 2050·
 1981 01  3633.
 1981 02  5531·
 1981 03  3739.
 1981 04  7845·
 1981 05  3245.
 1981 06  6548·
 1981 07  3569.
 1981 08  8649.
 1981 09  8252·
 1981 10  5458·
 1981 11  7948.
 1981 12  8124·
 1982 01 5433·
 1982 02 2130.
 1982 03 430·
 1982 04 2627.
 1982 05 4427·
 1982 06 9233.
 1982 07 6448.
 1982 08 1143·
 1982 09 7052.
 1982 10 1850·
 1982 11 4240.
 1982 12 4619·
 1983 01  7621·
 1983 02  7319.
 1983 03  4430·
 1983 04  7028.
 1983 05  3241.
 1983 06  5751·
 1983 07  147·
 1983 08  4746·
 1983 09  3140·
 1983 10  9833·
 1983 11  7231.
 1983 12  6424·
 1984 01 9330.
 1984 02 4429·
 1984 03 3725.
 1984 04 3332·
 1984 05 6241·
 1984 06 7161·
 1984 07 249.
 1984 08 9336.
 1984 09 734·
 1984 10 8044.
 1984 11 030.
 1984 12 735.
 1985 01  2228.
 1985 02  9630·
 1985 03  8732·
 1985 04  6330·
 1985 05  2634·
 1985 06  6918·
 1985 07  4434·
 1985 08  7228·
 1985 09  6421.
 1985 10  7532.
 1985 11  8025·
 1985 12  7519.
 1986 01 519.
 1986 02 1416.
 1986 03 2430·
 1986 04 3228·
 1986 05 4230·
 1986 06 1225·
 1986 07 3327.
 1986 08 3224·
 1986 09 9434.
 1986 10 1840·
 1986 11 9023.
 1986 12 8911.
 1987 01  7
 1987 02  910.
 1987 03  110·
 1987 04  3919.
 1987 05  4923·
 1987 06  8431·
 1987 07  9825.
 1987 08  4621.
 1987 09  1521.
 1987 10  7024·
 1987 11  3712·
 1987 12  9823.
 1988 01 2215·
 1988 02 1613.
 1988 03 9920.
 1988 04 724.
 1988 05 1622·
 1988 06 9829·
 1988 07 9222.
 1988 08 1220.
 1988 09 6619·
 1988 10 1634·
 1988 11 4818.
 1988 12 7521.
 1989 01  6628.
 1989 02  9618.
 1989 03  2213·
 1989 04  8417.
 1989 05  3518·
 1989 06  8816·
 1989 07  9627·
 1989 08  5332·
 1989 09  1715·
 1989 10  6717·
 1989 11  7818.
 1989 12  1810·
 1990 01 817·
 1990 02 3515·
 1990 03 9817·
 1990 04 4321.
 1990 05 2117.
 1990 06 1518·
 1990 07 1422.
 1990 08 1611·
 1990 09 5712.
 1990 10 5917·
 1990 11 617·
 1990 12 507.
 1991 01  3310.
 1991 02  4213.
 1991 03  8219.
 1991 04  8218.
 1991 05  1820.
 1991 06  6414.
 1991 07  7417.
 1991 08  7620.
 1991 09  518·
 1991 10  5116.
 1991 11  3717·
 1991 12  1917·
 1992 01 1516·
 1992 02 549·
 1992 03 5414.
 1992 04 2511.
 1992 05 9115·
 1992 06 4719·
 1992 07 3121·
 1992 08 3015.
 1992 09 29·
 1992 10 3013.
 1992 11 027.
 1992 12 9910.
 1993 01  4314.
 1993 02  3119·
 1993 03  1712·
 1993 04  1815.
 1993 05  3213.
 1993 06  9719.
 1993 07  6511.
 1993 08  115.
 1993 09  147.
 1993 10  614.
 1993 11  4916.
 1993 12  8612·
 1994 01 598.
 1994 02 588·
 1994 03 23.
 1994 04 36
 1994 05 592·
 1994 06 773·
 1994 07 790.
 1994 08 373·
 1994 09 348.
 1994 10 15
 1994 11 643·
 1994 12 55·
 1995 01  294.
 1995 02  46
 1995 03  614.
 1995 04  758.
 1995 05  129.
 1995 06  7211·
 1995 07  49.
 1995 08  126.
 1995 09  785.
 1995 10  174·
 1995 11  485·
 1995 12  31.
 1996 01 461·
 1996 02 32
 1996 04 760.
 1996 05 603.
 1996 06 604.
 1996 07 924.
 1996 08 934·
 1996 09 238·
 1996 10 8912·
 1996 11 974·
 1996 12 327·
 1997 02  531.
 1997 03  270·
 1997 04  741.
 1997 05  491·
 1997 06  39
 1997 07  930.
 1997 08  721.
 1997 09  263.
 1997 10  934.
 1997 11  324.
 1997 12  67
 1998 01 691.
 1998 02 540·
 1998 04 124.
 1998 05 592.
 1998 06 105·
 1998 07 840·
 1998 08 290·
 1998 09 740·
 1998 10 63.
 1998 11 711.
 1998 12 0
 1999 01  621.
 1999 02  386.
 1999 03  286·
 1999 04  700·
 1999 05  981·
 1999 06  142.
 1999 07  932·
 1999 08  81.
 1999 10  820·
 1999 11  644·
 1999 12  291·
 2000 01 95.
 2000 02 415·
 2000 03 451.
 2000 04 241.
 2000 05 911·
 2000 06 25
 2000 07 392.
 2000 08 906.
 2000 09 993.
 2000 10 82·
 2000 11 533·
 2001 02  663·
 2001 03  25.
 2001 04  923.
 2001 05  188·
 2001 06  14
 2001 07  93
 2001 08  27.
 2001 09  911.
 2001 10  221.
 2001 11  932.
 2001 12  870·
 2002 09 531·
 2002 12 42·
 2003 01  450.
 2003 02  242.
 2003 03  112.
 2003 04  962·
 2003 05  184·
 2003 07  13
 2003 08  98
 2003 09  631·
 2003 10  6
 2003 12  791.
 2004 01 68
 2004 03 911.
 2004 07 29
 2004 08 736·
 2004 09 55.
 2004 10 959·
 2004 11 31
 2004 12 704·
 2005 01  14
 2005 02  10
 2005 03  813·
 2005 04  715.
 2005 05  282·
 2005 06  22.
 2005 07  72
 2005 08  03·
 2005 09  24.
 2005 10  576.
 2005 11  256.
 2005 12  83.
 2006 01 202.
 2006 02 880·
 2006 03 843.
 2006 07 723.
 2006 08 863.
 2006 09 333.
 2006 10 163.
 2006 11 900.
 2006 12 331.
 2007 03  552.
 2007 04  17
 2007 05  883·
 2007 06  182·
 2007 07  435.
 2007 08  63.
 2007 09  173.
 2007 10  223·
 2007 11  8
 2008 02 272.
 2008 03 53
 2008 04 522.
 2008 05 895.
 2008 09 492.
 2008 10 95
 2008 11 404.
 2008 12 483·
 2009 01  661.
 2009 05  691.
 2009 06  411.
 2009 07  741·
 2009 08  970·
 2009 09  250·
 2009 10  380·
 2009 11  800·
 2009 12  872·
 2010 01 404.
 2010 02 380·
 2010 03 3
 2010 04 4
 2010 05 12
 2010 06 716.
 2010 07 66·
 2010 08 431.
 2010 09 68
 2010 10 950.
 2010 11 772.
 2010 12 230.
 2011 01  570.
 2011 02  920.
 2011 03  290.
 2011 04  884.
 2011 05  564·
 2011 06  674·
 2011 07  04.
 2011 08  73.
 2011 09  650·
 2011 10  533·
 2011 11  530.
 2011 12  740·
 2012 01 96·
 2012 02 77.
 2012 03 754.
 2012 04 94.
 2012 05 386.
 2012 06 97.
 2012 07 8010·
 2012 08 554.
 2012 09 284·
 2012 10 663.
 2012 11 6
 2012 12 8210·
 2013 01  807.
 2013 02  114.
 2013 03  144.
 2013 04  830·
 2013 05  180·
 2013 06  990.
 2013 07  940·
 2013 08  790.
 2013 09  930.
 2013 10  13
 2013 11  584.
 2013 12  133.
 2014 01 805·
 2014 02 590.
 2014 03 440.
 2014 04 540·
 2014 05 814.
 2014 06 693.
 2014 07 150.
 2014 08 960·
 2014 09 190.
 2014 10 990.
 2014 11 59
 2014 12 594·
 2015 01  473·
 2015 02  313.
 2015 03  890·
 2015 04  870·
 2015 05  380·
 2015 06  724.
 2015 07  421·
 2015 08  491.
 2015 09  931.
 2015 10  531·
 2015 11  810·
 2015 12  383·
 2016 01 390·
 2016 02 300.
 2016 03 950·
 2016 04 750.
 2016 05 240·
 2016 06 870.


 2016 07 960·
 2016 08 21·
 2016 09 253·
 2016 10 282·
 2016 11 223.
 2016 12 914.
 2017 01  424·
 2017 02  874.
 2017 03  363.
 2017 04  330.
 2017 05  11.
 2017 06  18
 2017 07  261.
 2017 08  503·
 2017 09  51
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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







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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  |  Excel file  |  Self-updating Excel file
   Transform this series  |  Display series in COPY/PASTE format  |  More series like this one

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