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 Series Title: Employment Level: Agriculture and Related Industries, Unpaid Family Workers, 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 6301·
 1976 07 29301·
 1976 08 19309.
 1976 09 53248·
 1976 10 34268·
 1976 11 65199.
 1976 12 53156.
 1977 01  33137.
 1977 02  22136.
 1977 03  94151.
 1977 04  82227.
 1977 05  6319·
 1977 06  20337.
 1977 07  96367·
 1977 08  19290.
 1977 09  15209.
 1977 10  5246·
 1977 11  79241.
 1977 12  1175.
 1978 01 29150.
 1978 02 75142·
 1978 03 74193·
 1978 04 91195.
 1978 05 44220.
 1978 06 57335·
 1978 07 38358·
 1978 08 78291.
 1978 09 78223·
 1978 10 2258.
 1978 11 53175·
 1978 12 74157.
 1979 01  74124.
 1979 02  83139·
 1979 03  24151·
 1979 04  16165.
 1979 05  3229·
 1979 06  3276.
 1979 07  84295·
 1979 08  69273.
 1979 09  59246·
 1979 10  86234.
 1979 11  90185·
 1979 12  19159·
 1980 01 60119·
 1980 02 82110.
 1980 03 22137.
 1980 04 80163·
 1980 05 50223·
 1980 06 67250.
 1980 07 88288·
 1980 08 90228·
 1980 09 0230·
 1980 10 42269·
 1980 11 19193·
 1980 12 11151.
 1981 01  2114·
 1981 02  31128·
 1981 03  72151·
 1981 04  32164·
 1981 05  76172·
 1981 06  86222·
 1981 07  29226·
 1981 08  64204·
 1981 09  67188·
 1981 10  81225·
 1981 11  96212·
 1981 12  47105.
 1982 01 43131·
 1982 02 17134·
 1982 03 5129.
 1982 04 43147·
 1982 05 99164·
 1982 06 20224.
 1982 07 12222·
 1982 08 40222.
 1982 09 53198·
 1982 10 39168.
 1982 11 99149·
 1982 12 50104·
 1983 01  50100·
 1983 02  51106·
 1983 03  74142.
 1983 04  13128.
 1983 05  59152·
 1983 06  54234.
 1983 07  66220·
 1983 08  89195·
 1983 09  74174·
 1983 10  76159.
 1983 11  34132.
 1983 12  69127·
 1984 01 15113.
 1984 02 66106·
 1984 03 58100·
 1984 04 63117·
 1984 05 24174.
 1984 06 0205·
 1984 07 45224·
 1984 08 11186.
 1984 09 72154·
 1984 10 78146.
 1984 11 28129.
 1984 12 75127·
 1985 01  53107·
 1985 02  2596.
 1985 03  62143.
 1985 04  43121.
 1985 05  86142.
 1985 06  92138.
 1985 07  29164·
 1985 08  28146·
 1985 09  14122.
 1985 10  55129.
 1985 11  36101·
 1985 12  6889·
 1986 01 884.
 1986 02 1377.
 1986 03 15109.
 1986 04 26103·
 1986 05 61139·
 1986 06 92145.
 1986 07 22164·
 1986 08 89140·
 1986 09 92102.
 1986 10 42119·
 1986 11 38120.
 1986 12 7178.
 1987 01  4672·
 1987 02  3965·
 1987 03  7177·
 1987 04  9100·
 1987 05  91116.
 1987 06  84124.
 1987 07  52133·
 1987 08  66120.
 1987 09  2276.
 1987 10  180.
 1987 11  3891.
 1987 12  3083.
 1988 01 5864.
 1988 02 4157.
 1988 03 1071·
 1988 04 15101·
 1988 05 43125.
 1988 06 79136.
 1988 07 76128·
 1988 08 57130·
 1988 09 4781·
 1988 10 16128.
 1988 11 6582.
 1988 12 2090.
 1989 01  6284.
 1989 02  7868·
 1989 03  3771.
 1989 04  9282.
 1989 05  998·
 1989 06  14100·
 1989 07  71121.
 1989 08  86115·
 1989 09  3279·
 1989 10  9989.
 1989 11  7479·
 1989 12  3965·
 1990 01 9948.
 1990 02 3545.
 1990 03 7966·
 1990 04 1474·
 1990 05 679.
 1990 06 4783·
 1990 07 4283·
 1990 08 074·
 1990 09 7071·
 1990 10 8558.
 1990 11 4463·
 1990 12 947·
 1991 01  3761.
 1991 02  2564·
 1991 03  9276·
 1991 04  7955·
 1991 05  7498.
 1991 06  6688·
 1991 07  1886.
 1991 08  7371·
 1991 09  7875·
 1991 10  3477.
 1991 11  7869.
 1991 12  7959.
 1992 01 6653·
 1992 02 8151·
 1992 03 5557.
 1992 04 960·
 1992 05 8272.
 1992 06 80116.
 1992 07 5492·
 1992 08 381·
 1992 09 9763.
 1992 10 3373.
 1992 11 8104·
 1992 12 2148.
 1993 01  361.
 1993 02  6460·
 1993 03  7266·
 1993 04  5360.
 1993 05  2171·
 1993 06  2595·
 1993 07  2975.
 1993 08  1281·
 1993 09  9458·
 1993 10  9163.
 1993 11  8563·
 1993 12  3450·
 1994 01 9232·
 1994 02 6125.
 1994 03 7318·
 1994 04 8419.
 1994 05 819·
 1994 06 6229.
 1994 07 4721·
 1994 08 4923.
 1994 09 6225.
 1994 10 4421·
 1994 11 9123.
 1994 12 4123·
 1995 01  9714·
 1995 02  817.
 1995 03  1118.
 1995 04  025·
 1995 05  8425·
 1995 06  7629.
 1995 07  3832.
 1995 08  8624·
 1995 09  1620·
 1995 10  5221.
 1995 11  2913·
 1995 12  907.
 1996 01 1212.
 1996 02 6117·
 1996 03 6617·
 1996 04 2323·
 1996 05 1619·
 1996 06 7716·
 1996 07 5622.
 1996 08 2337.
 1996 09 9945.
 1996 10 235·
 1996 11 2928·
 1996 12 5327·
 1997 01  5219·
 1997 02  603·
 1997 03  4317·
 1997 04  220·
 1997 05  9722.
 1997 06  223·
 1997 07  8028·
 1997 08  8123.
 1997 09  7725·
 1997 10  441·
 1997 11  4528·
 1997 12  3021.
 1998 01 6015·
 1998 02 659·
 1998 03 7111.
 1998 04 1011.
 1998 05 4322.
 1998 06 1112·
 1998 07 1414.
 1998 08 919.
 1998 09 4224.
 1998 10 9222·
 1998 11 5613.
 1998 12 428·
 1999 01  312.
 1999 02  8513.
 1999 03  323·
 1999 04  4515.
 1999 05  9511·
 1999 06  8920.
 1999 07  8827.
 1999 08  8128.
 1999 09  1120.
 1999 10  2923·
 1999 11  6626·
 1999 12  3822.
 2000 01 7218·
 2000 02 5716·
 2000 03 2010.
 2000 04 299.
 2000 05 2115·
 2000 06 467.
 2000 07 5614·
 2000 08 9318·
 2000 09 2610.
 2000 10 9910.
 2000 11 59.
 2000 12 9112·
 2001 01  846.
 2001 02  4012.
 2001 03  256.
 2001 04  128·
 2001 05  1216.
 2001 06  2018.
 2001 07  9712.
 2001 08  6923·
 2001 09  5420·
 2001 10  1313.
 2001 11  275·
 2001 12  9911.
 2002 01 8018.
 2002 02 217.
 2002 03 4812·
 2002 04 669·
 2002 05 8513.
 2002 06 6912·
 2002 07 166·
 2002 08 574.
 2002 09 868.
 2002 10 711.
 2002 11 1219·
 2002 12 8619.
 2003 01  2919.
 2003 02  1012.
 2003 03  4315.
 2003 04  89
 2003 05  8212·
 2003 06  7920·
 2003 07  4233·
 2003 08  3129.
 2003 09  399.
 2003 10  4011.
 2003 11  636·
 2003 12  982·
 2004 01 215.
 2004 02 423·
 2004 03 907.
 2004 04 55.
 2004 05 7012.
 2004 06 6218·
 2004 07 2920.
 2004 08 8821.
 2004 09 5618·
 2004 10 9917.
 2004 11 1010·
 2004 12 109.
 2005 01  736.
 2005 02  7913·
 2005 03  9210·
 2005 04  6012.
 2005 05  4018·
 2005 06  5211·
 2005 07  5628.
 2005 08  5015·
 2005 09  216·
 2005 10  9415.
 2005 11  89.
 2005 12  195·
 2006 01 275.
 2006 02 5
 2006 03 808·
 2006 04 294·
 2006 05 1010·
 2006 06 1110.
 2006 07 2814.
 2006 08 6811·
 2006 09 693·
 2006 10 615.
 2006 11 359.
 2006 12 485.
 2007 01  507.
 2007 02  3212.
 2007 03  7
 2007 04  913·
 2007 05  2010.
 2007 06  237.
 2007 07  7518·
 2007 08  127·
 2007 09  7519·
 2007 10  609·
 2007 11  9611.
 2007 12  46
 2008 01 33
 2008 02 946.
 2008 03 528.
 2008 04 23
 2008 05 3910·
 2008 06 9920·
 2008 07 5012·
 2008 08 8214·
 2008 09 6113.
 2008 10 7712·
 2008 11 2019·
 2008 12 8514·
 2009 01  9412.
 2009 02  5210.
 2009 03  2010·
 2009 04  206.
 2009 05  574.
 2009 06  7512·
 2009 07  3212.
 2009 08  05.
 2009 09  943.
 2009 10  226·
 2009 11  625.
 2009 12  636.
 2010 01 746.
 2010 02 9217·
 2010 03 4113.
 2010 04 7215·
 2010 05 9221.
 2010 06 1228.
 2010 07 2725.
 2010 08 1515·
 2010 09 6611·
 2010 10 3118.
 2010 11 013·
 2010 12 410·
 2011 01  4011·
 2011 02  257.
 2011 03  688.
 2011 04  7812.
 2011 05  859·
 2011 06  9410·
 2011 07  628.
 2011 08  9920·
 2011 09  9311.
 2011 10  6420.
 2011 11  4018.
 2011 12  568·
 2012 01 84
 2012 02 8514·
 2012 03 8111·
 2012 04 607·
 2012 05 320·
 2012 06 3318.
 2012 07 9425·
 2012 08 519.
 2012 09 1814·
 2012 10 79.
 2012 11 92.
 2012 12 9121.
 2013 01  2311.
 2013 02  3411.
 2013 03  8416·
 2013 04  6710·
 2013 05  384·
 2013 06  6411.
 2013 07  013·
 2013 08  937·
 2013 09  712·
 2013 10  7116.
 2013 11  6411.
 2013 12  715.
 2014 01 9814.
 2014 02 574.
 2014 03 74.
 2014 04 722·
 2014 05 718·
 2014 06 4715.
 2014 07 8615.
 2014 08 74
 2014 09 5111.
 2014 10 91
 2014 11 824·
 2014 12 2911·
 2015 01  7611.
 2015 02  6518.
 2015 03  320.
 2015 04  7220.
 2015 05  5120·
 2015 06  6829·
 2015 07  8012·
 2015 08  6710.
 2015 09  6910.
 2015 10  277·
 2015 11  695.
 2015 12  311·
 2016 01 50
 2016 02 921.
 2016 03 5212.
 2016 04 918·
 2016 05 3714.
 2016 06 3816·


 2016 07 3611·
 2016 08 707.
 2016 09 17·
 2016 10 6612·
 2016 11 5311.
 2016 12 213.
 2017 01  3514.
 2017 02  016.
 2017 03  5919·
 2017 04  778·
 2017 05  589.
 2017 06  9213.
 2017 07  3515.
 2017 08  510.
 2017 09  148.
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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, Women: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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