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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 30301.
 1976 07 53301·
 1976 08 80309.
 1976 09 58248.
 1976 10 57268.
 1976 11 50199·
 1976 12 11156.
 1977 01  45137·
 1977 02  38136.
 1977 03  33151.
 1977 04  30227.
 1977 05  19319·
 1977 06  24337·
 1977 07  83367.
 1977 08  51290·
 1977 09  23209·
 1977 10  89246·
 1977 11  8241·
 1977 12  10175.
 1978 01 26150·
 1978 02 34142·
 1978 03 38193.
 1978 04 72195·
 1978 05 23220.
 1978 06 84335.
 1978 07 31358.
 1978 08 24291.
 1978 09 33223.
 1978 10 91258.
 1978 11 69175.
 1978 12 79157·
 1979 01  99124.
 1979 02  28139.
 1979 03  57151.
 1979 04  74165·
 1979 05  92229.
 1979 06  97276·
 1979 07  27295.
 1979 08  73273.
 1979 09  5246·
 1979 10  23234·
 1979 11  37185·
 1979 12  64159·
 1980 01 57119·
 1980 02 56110.
 1980 03 67137.
 1980 04 59163.
 1980 05 92223.
 1980 06 72250.
 1980 07 25288·
 1980 08 96228.
 1980 09 80230·
 1980 10 72269.
 1980 11 42193.
 1980 12 38151.
 1981 01  15114·
 1981 02  79128·
 1981 03  74151.
 1981 04  74164.
 1981 05  15172.
 1981 06  46222.
 1981 07  4226.
 1981 08  15204.
 1981 09  26188.
 1981 10  47225·
 1981 11  37212·
 1981 12  1105·
 1982 01 15131.
 1982 02 83134·
 1982 03 7129.
 1982 04 93147.
 1982 05 78164.
 1982 06 78224·
 1982 07 68222·
 1982 08 80222·
 1982 09 34198·
 1982 10 85168·
 1982 11 3149·
 1982 12 74104.
 1983 01  25100.
 1983 02  77106·
 1983 03  19142.
 1983 04  14128.
 1983 05  23152.
 1983 06  55234.
 1983 07  47220.
 1983 08  63195·
 1983 09  20174·
 1983 10  45159·
 1983 11  44132·
 1983 12  7127·
 1984 01 37113·
 1984 02 97106·
 1984 03 91100·
 1984 04 61117·
 1984 05 16174·
 1984 06 87205.
 1984 07 95224·
 1984 08 61186·
 1984 09 28154.
 1984 10 14146.
 1984 11 88129·
 1984 12 72127.
 1985 01  66107·
 1985 02  596·
 1985 03  26143.
 1985 04  80121·
 1985 05  50142.
 1985 06  9138.
 1985 07  91164·
 1985 08  99146·
 1985 09  23122.
 1985 10  2129.
 1985 11  90101.
 1985 12  6689·
 1986 01 5684·
 1986 02 8477·
 1986 03 54109.
 1986 04 45103·
 1986 05 41139.
 1986 06 82145.
 1986 07 40164·
 1986 08 23140.
 1986 09 98102·
 1986 10 44119·
 1986 11 30120.
 1986 12 1478.
 1987 01  7272.
 1987 02  4765.
 1987 03  3077·
 1987 04  54100·
 1987 05  30116·
 1987 06  91124·
 1987 07  71133.
 1987 08  8120·
 1987 09  6976·
 1987 10  180·
 1987 11  1191·
 1987 12  6383.
 1988 01 664.
 1988 02 2857·
 1988 03 3171.
 1988 04 31101·
 1988 05 86125·
 1988 06 48136.
 1988 07 38128·
 1988 08 51130.
 1988 09 7881.
 1988 10 59128·
 1988 11 6482.
 1988 12 8690.
 1989 01  7684.
 1989 02  8968.
 1989 03  6471.
 1989 04  2382.
 1989 05  9998.
 1989 06  87100·
 1989 07  21121·
 1989 08  75115·
 1989 09  9179·
 1989 10  2889·
 1989 11  4179·
 1989 12  8165.
 1990 01 2248·
 1990 02 1445.
 1990 03 5666.
 1990 04 374·
 1990 05 8679.
 1990 06 6983.
 1990 07 2383.
 1990 08 2974·
 1990 09 171·
 1990 10 4458.
 1990 11 2363.
 1990 12 7247·
 1991 01  1361·
 1991 02  1464·
 1991 03  6376.
 1991 04  6955.
 1991 05  8998·
 1991 06  8088.
 1991 07  7586·
 1991 08  8571.
 1991 09  2575·
 1991 10  6777·
 1991 11  1469.
 1991 12  659.
 1992 01 3953.
 1992 02 2551.
 1992 03 6457·
 1992 04 4560.
 1992 05 7572·
 1992 06 30116·
 1992 07 3092·
 1992 08 4181·
 1992 09 363.
 1992 10 8273·
 1992 11 44104·
 1992 12 5648.
 1993 01  1761·
 1993 02  760.
 1993 03  6266.
 1993 04  7860·
 1993 05  3671.
 1993 06  5595·
 1993 07  6775.
 1993 08  2081.
 1993 09  458.
 1993 10  163·
 1993 11  6563.
 1993 12  2150.
 1994 01 9032.
 1994 02 4625.
 1994 03 8818.
 1994 04 4219·
 1994 05 8819.
 1994 06 1529.
 1994 07 9221·
 1994 08 7123·
 1994 09 1825.
 1994 10 5921·
 1994 11 5923.
 1994 12 2323.
 1995 01  2414·
 1995 02  537.
 1995 03  9518.
 1995 04  3425·
 1995 05  7425.
 1995 06  9729.
 1995 07  3332.
 1995 08  6724.
 1995 09  6320·
 1995 10  1621·
 1995 11  2813·
 1995 12  117.
 1996 01 1012·
 1996 02 6217.
 1996 03 6317·
 1996 04 7723.
 1996 05 6019·
 1996 06 916.
 1996 07 4422·
 1996 08 537.
 1996 09 8045·
 1996 10 5835·
 1996 11 328·
 1996 12 5727·
 1997 01  6719·
 1997 02  353.
 1997 03  9617.
 1997 04  2120.
 1997 05  3722.
 1997 06  8923.
 1997 07  628·
 1997 08  923·
 1997 09  3725.
 1997 10  9641·
 1997 11  3828.
 1997 12  6021·
 1998 01 3415·
 1998 02 569.
 1998 03 2411.
 1998 04 3611·
 1998 05 2422·
 1998 06 9612.
 1998 07 2114·
 1998 08 2619·
 1998 09 2424·
 1998 10 6522·
 1998 11 1113.
 1998 12 438.
 1999 01  8012.
 1999 02  3813·
 1999 03  023·
 1999 04  2315·
 1999 05  6011.
 1999 06  1620·
 1999 07  2027.
 1999 08  3028.
 1999 09  5920·
 1999 10  2523·
 1999 11  2826.
 1999 12  5322.
 2000 01 9618·
 2000 02 1416.
 2000 03 410·
 2000 04 39.
 2000 05 1415·
 2000 06 607.
 2000 07 5714·
 2000 08 1918.
 2000 09 8410.
 2000 10 6210·
 2000 11 17
 2000 12 6412.
 2001 01  986.
 2001 02  4612·
 2001 03  416·
 2001 04  25
 2001 05  7716.
 2001 06  6318·
 2001 07  1112·
 2001 08  1623.
 2001 09  6520.
 2001 10  8713·
 2001 11  335.
 2001 12  7411.
 2002 01 3018.
 2002 02 197.
 2002 03 3912·
 2002 04 629·
 2002 05 6613.
 2002 06 8512·
 2002 07 866·
 2002 08 684.
 2002 09 948.
 2002 10 3511.
 2002 11 5519.
 2002 12 619·
 2003 01  5619·
 2003 02  4412·
 2003 03  5315.
 2003 04  124·
 2003 05  2312·
 2003 06  1320·
 2003 07  1233·
 2003 08  5029·
 2003 09  889.
 2003 10  6711.
 2003 11  886·
 2003 12  7
 2004 01 70
 2004 02 57
 2004 03 63
 2004 04 975·
 2004 05 1412.
 2004 06 5718.
 2004 07 4320·
 2004 08 5821.
 2004 09 8818·
 2004 10 6917·
 2004 11 6010·
 2004 12 529.
 2005 01  886·
 2005 02  1713·
 2005 03  7110·
 2005 04  6712·
 2005 05  3118·
 2005 06  5211·
 2005 07  5828·
 2005 08  1615·
 2005 09  6316·
 2005 10  5015·
 2005 11  269·
 2005 12  385.
 2006 01 515·
 2006 02 108.
 2006 03 98·
 2006 04 944·
 2006 05 9110.
 2006 06 5910.
 2006 07 6214·
 2006 08 7311.
 2006 09 23.
 2006 10 465.
 2006 11 669·
 2006 12 875·
 2007 01  277·
 2007 02  4812.
 2007 03  298.
 2007 04  7513.
 2007 05  3710.
 2007 06  637·
 2007 07  8318.
 2007 08  07.
 2007 09  2419·
 2007 10  19
 2007 11  8411·
 2007 12  499·
 2008 01 88.
 2008 02 656.
 2008 03 138·
 2008 04 357.
 2008 05 3310·
 2008 06 7620·
 2008 07 7712.
 2008 08 9714.
 2008 09 6913.
 2008 10 5312·
 2008 11 819·
 2008 12 9614·
 2009 01  1012.
 2009 02  2210.
 2009 03  6210·
 2009 04  216·
 2009 05  74
 2009 06  3212.
 2009 07  2212·
 2009 08  855·
 2009 09  53.
 2009 10  59
 2009 11  935·
 2009 12  266·
 2010 01 746.
 2010 02 417·
 2010 03 813.
 2010 04 615.
 2010 05 7421.
 2010 06 9228.
 2010 07 2325·
 2010 08 1415·
 2010 09 2411·
 2010 10 7318·
 2010 11 1913·
 2010 12 6210.
 2011 01  6911.
 2011 02  237·
 2011 03  48.
 2011 04  8912·
 2011 05  779·
 2011 06  4110·
 2011 07  98·
 2011 08  5620·
 2011 09  4211·
 2011 10  5520.
 2011 11  9018.
 2011 12  538·
 2012 01 858·
 2012 02 1314·
 2012 03 2911·
 2012 04 917·
 2012 05 4820.
 2012 06 9118.
 2012 07 3425·
 2012 08 109.
 2012 09 114·
 2012 10 909·
 2012 11 352.
 2012 12 7121.
 2013 01  3911.
 2013 02  3511.
 2013 03  8916·
 2013 04  6310.
 2013 05  804.
 2013 06  7711.
 2013 07  7813·
 2013 08  987·
 2013 09  6812·
 2013 10  9016·
 2013 11  811·
 2013 12  1415·
 2014 01 7314.
 2014 02 764.
 2014 03 114·
 2014 04 752.
 2014 05 8918·
 2014 06 5915.
 2014 07 4515·
 2014 08 688·
 2014 09 3511·
 2014 10 909.
 2014 11 894.
 2014 12 611.
 2015 01  5511.
 2015 02  4418.
 2015 03  5120.
 2015 04  2720·
 2015 05  1820·
 2015 06  2229·
 2015 07  6412·
 2015 08  9410.
 2015 09  1810.
 2015 10  50
 2015 11  825·
 2015 12  9411·
 2016 01 757.
 2016 02 761·
 2016 03 8812·
 2016 04 418·
 2016 05 3314·
 2016 06 7816.
 2016 07 8911·
 2016 08 737·
 2016 09 607.
 2016 10 5512.


 2016 11 1611.
 2016 12 5213·
 2017 01  5114.
 2017 02  3316.
 2017 03  2619.
 2017 04  668.
 2017 05  25
 2017 06  6213.
 2017 07  115·
 2017 08  2810.
 2017 09  268.
 2017 10  181·
 2017 11  4611·
 2017 12  779·
 2018 01 24
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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
   Transform this series  |  Display series in COPY/PASTE format  |  More series like this one

New data set: Quarterly Financial Reporting: Manufacturing, Mining, Trade, and Selected Service Industries

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