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 Series Title: Employment Level: Agriculture and Related Industries, Unpaid Family Workers, 35-44 years, Men: NSA
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 1976 07 91
 1976 08 283.
 1976 09 102.
 1976 10 332·
 1976 11 19
 1976 12 887·
 1977 01  672·
 1977 02  92.
 1977 03  515·
 1977 04  843·
 1977 05  624.
 1977 06  211·
 1977 07  370.
 1977 08  981.
 1977 09  8
 1977 11  131.
 1977 12  531.
 1978 01 361.
 1978 02 44
 1978 03 552·
 1978 06 992·
 1978 07 30
 1978 08 310.
 1978 09 403.
 1978 10 02·
 1978 12 362·
 1979 01  591·
 1979 03  88
 1979 04  76.
 1979 05  373·
 1979 06  394.
 1979 07  435·
 1979 08  950.
 1979 09  380·
 1979 10  103·
 1980 03 741.
 1980 04 656.
 1980 05 725·
 1980 06 354.
 1980 07 753·
 1980 08 422·
 1980 09 952·
 1980 10 12.
 1980 11 653·
 1980 12 763·
 1981 01  882.
 1981 02  221.
 1981 03  893.
 1981 04  434·
 1981 05  591·
 1981 06  355·
 1981 07  151.
 1981 08  433·
 1981 09  394.
 1981 10  31·
 1981 11  382·
 1981 12  12.
 1982 01 852.
 1982 02 15
 1982 03 775.
 1982 04 69
 1982 05 781.
 1982 06 823.
 1982 10 752·
 1982 12 201.
 1983 06  251·
 1984 01 434·
 1984 02 33·
 1984 03 572·
 1984 04 572·
 1984 05 611.
 1984 06 541·
 1984 09 32.
 1984 12 322·
 1985 01  24
 1985 03  486·
 1985 04  104.
 1985 05  312·
 1985 07  444·
 1985 08  284.
 1985 10  53
 1985 11  603·
 1986 01 601.
 1986 03 64
 1986 06 321·
 1986 07 511.
 1986 08 341.
 1986 09 504.
 1986 10 734·
 1986 11 612.
 1986 12 541.
 1987 01  53·
 1987 02  261.
 1987 04  71
 1987 05  335·
 1987 06  723·
 1987 07  661·
 1987 08  891·
 1987 09  101.
 1987 10  224.
 1987 11  94
 1987 12  455·
 1988 01 46
 1988 02 492·
 1988 04 362.
 1988 05 966·
 1988 06 3010·
 1988 07 712·
 1988 08 412·
 1988 09 251·
 1988 10 752.
 1988 11 322·
 1988 12 853·
 1989 01  374·
 1989 02  182·
 1989 03  39·
 1989 04  6810·
 1989 05  658·
 1989 06  2310·
 1989 07  762.
 1989 08  161.
 1989 09  647.
 1989 10  771·
 1990 02 722.
 1990 03 792.
 1990 04 173.
 1990 05 932·
 1990 06 341·
 1990 09 332.
 1990 10 302·
 1990 12 9
 1991 02  315·
 1991 03  782·
 1991 04  353·
 1991 06  892.
 1991 07  585·
 1991 08  393·
 1991 11  882·
 1991 12  192·
 1992 01 33
 1992 02 673.
 1992 03 71
 1992 04 133·
 1992 05 11.
 1992 09 372·
 1992 10 914.
 1992 11 97·
 1992 12 311.
 1993 01  492.
 1993 02  80
 1993 03  702·
 1993 04  173·
 1993 05  295·
 1993 06  942.
 1993 07  821.
 1993 08  795.
 1993 09  289·
 1994 01 142.
 1994 02 610.
 1994 08 601.
 1994 09 201·
 1994 10 471·
 1994 11 420.
 1994 12 292.
 1995 01  71·
 1995 02  261·
 1995 03  906·
 1995 04  816·
 1995 05  136.
 1995 06  68.
 1995 07  925.
 1995 08  357·
 1995 09  884·
 1995 10  693.
 1995 11  602.
 1995 12  344.
 1996 01 92·
 1996 02 232.
 1996 03 34
 1996 04 493.
 1996 05 76
 1996 06 972·
 1996 07 751·
 1996 08 733.
 1996 11 145·
 1996 12 500.
 1997 01  715.
 1997 04  252.
 1997 05  733·
 1997 06  633·
 1997 07  373.
 1997 08  504·
 1997 09  285.
 1997 10  422.
 1998 03 84.
 1998 04 167·
 1998 08 810.
 1998 09 190·
 1998 10 491·
 1998 11 19
 1999 02  570·
 1999 03  510·
 1999 04  470.
 1999 05  760.
 1999 06  62.
 1999 07  20
 1999 08  156·
 1999 09  326·
 1999 10  36.
 1999 11  312·
 1999 12  911.
 2000 05 560.
 2000 06 484.
 2000 07 173.
 2000 08 383·
 2000 09 43
 2000 10 683·
 2000 11 340.
 2000 12 440.
 2001 01  110.
 2001 05  134·
 2001 06  644·
 2001 07  212·
 2001 08  52·
 2001 09  572.
 2001 10  142·
 2002 08 73·
 2003 01  932.
 2003 02  2
 2003 07  152.
 2003 11  663·
 2003 12  714·
 2004 01 724·
 2004 02 241.
 2004 03 864.
 2004 05 562.
 2004 06 192·
 2004 07 225.
 2004 08 783.
 2004 09 941.
 2005 06  173.
 2005 07  163·
 2005 08  820·
 2005 09  531·
 2005 10  670.
 2006 06 382·
 2006 10 601.
 2008 01 270.
 2008 02 940·
 2008 03 451·
 2009 06  99
 2009 07  36
 2009 08  490.
 2009 09  170.
 2009 10  130·
 2009 11  24
 2009 12  72·
 2010 01 630.
 2010 02 40
 2010 03 603.
 2010 04 680.
 2010 05 120·
 2010 06 420·
 2010 07 370.
 2010 08 580.
 2010 09 233·
 2010 10 80.
 2010 11 760·
 2010 12 280·
 2011 01  760.
 2011 02  501·
 2011 03  201·
 2011 04  521·
 2011 05  781·
 2011 06  60.
 2011 07  391·
 2011 08  313.
 2011 09  623.
 2011 10  393·
 2011 11  260.
 2011 12  901·
 2012 01 820·
 2012 02 380.
 2012 03 11·
 2012 04 801·
 2012 05 225·
 2012 06 145.
 2012 07 80·
 2012 08 770.
 2012 09 880·
 2012 10 50·
 2012 11 15
 2012 12 801.
 2013 01  110·
 2013 02  760·
 2013 03  180·
 2013 04  150.
 2013 05  491.
 2013 06  130·
 2013 07  360·
 2013 08  320·
 2013 09  820·
 2013 10  290.
 2013 11  111.
 2013 12  73·
 2014 01 172·
 2014 02 633.
 2014 03 140·
 2014 04 400.
 2014 05 870·
 2014 06 770·
 2014 07 392.
 2014 08 570·
 2014 09 472.
 2014 10 590.
 2014 11 50.
 2014 12 81.
 2015 01  79
 2015 02  220·
 2015 03  560.
 2015 04  681·
 2015 05  911.
 2015 06  41.
 2015 07  611.
 2015 08  371.
 2015 09  134.
 2015 10  680.
 2015 11  140·
 2015 12  420.
 2016 01 20·
 2016 02 10·
 2016 03 340.
 2016 04 320.
 2016 05 402.
 2016 06 172·
 2016 07 670·
 2016 08 830·
 2016 09 33
 2016 10 540·
 2016 11 79
 2016 12 960·
 2017 01  140.
 2017 02  73


 2017 03  670.
 2017 04  950.
 2017 05  390·
 2017 06  640.
 2017 07  490.
 2017 08  310·
 2017 09  881·
 2017 10  391.
 2017 11  680·
 2017 12  791.
 2018 01 700·
 2018 02 360.
 2018 03 952.
 2018 04 410.
 2018 05 16
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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, 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

Unemployment data for every county in the U.S..
Click for Illinois counties, then follow the example for your state

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