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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 2382·
 1976 07 6284·
 1976 08 7993·
 1976 09 9464.
 1976 10 5481·
 1976 11 750.
 1976 12 134·
 1977 01  1737.
 1977 02  1541·
 1977 03  1343.
 1977 04  8746·
 1977 05  180·
 1977 06  5574·
 1977 07  6174·
 1977 08  4963·
 1977 09  9155·
 1977 10  4963·
 1977 11  5970.
 1977 12  2645.
 1978 01 5537.
 1978 02 9832·
 1978 03 3761·
 1978 04 8063.
 1978 05 8754.
 1978 06 2877.
 1978 07 5493.
 1978 08 9868·
 1978 09 765.
 1978 10 8973.
 1978 11 8946.
 1978 12 9440.
 1979 01  5934·
 1979 02  5541·
 1979 03  5034·
 1979 04  742·
 1979 05  1265.
 1979 06  2968·
 1979 07  6976.
 1979 08  9783.
 1979 09  6160·
 1979 10  3468·
 1979 11  150·
 1979 12  5544.
 1980 01 2338.
 1980 02 2233·
 1980 03 3032·
 1980 04 9228.
 1980 05 4447.
 1980 06 6752·
 1980 07 6060.
 1980 08 4654·
 1980 09 9367.
 1980 10 7171·
 1980 11 2555·
 1980 12 8050.
 1981 01  6333.
 1981 02  5831.
 1981 03  8139·
 1981 04  8245.
 1981 05  7445·
 1981 06  7948.
 1981 07  869.
 1981 08  6649·
 1981 09  7052.
 1981 10  958·
 1981 11  1548·
 1981 12  6824·
 1982 01 2033·
 1982 02 4930.
 1982 03 3230.
 1982 04 5227·
 1982 05 1927.
 1982 06 2433·
 1982 07 1748.
 1982 08 643·
 1982 09 8552·
 1982 10 8450·
 1982 11 5040·
 1982 12 4219·
 1983 01  6221·
 1983 02  619·
 1983 03  3930.
 1983 04  9928·
 1983 05  2041.
 1983 06  8851·
 1983 07  1547·
 1983 08  3946.
 1983 09  5340.
 1983 10  5833·
 1983 11  3531.
 1983 12  5024.
 1984 01 8030.
 1984 02 6429·
 1984 03 8025.
 1984 04 4532.
 1984 05 4541·
 1984 06 8361.
 1984 07 5749.
 1984 08 6336·
 1984 09 1734·
 1984 10 1544.
 1984 11 9830.
 1984 12 6535.
 1985 01  9128·
 1985 02  8430·
 1985 03  5932·
 1985 04  4030·
 1985 05  8534·
 1985 06  4318·
 1985 07  2334.
 1985 08  028·
 1985 09  4421·
 1985 10  6532.
 1985 11  9425·
 1985 12  8519.
 1986 01 3719·
 1986 02 5216.
 1986 03 730·
 1986 04 5528.
 1986 05 5830.
 1986 06 2925.
 1986 07 1627·
 1986 08 124·
 1986 09 2634·
 1986 10 4540·
 1986 11 323·
 1986 12 3311.
 1987 01  859·
 1987 02  7810.
 1987 03  7610.
 1987 04  9019.
 1987 05  423·
 1987 06  2631·
 1987 07  6625.
 1987 08  3621·
 1987 09  7821.
 1987 10  1624.
 1987 11  2912·
 1987 12  5723.
 1988 01 2615·
 1988 02 9713.
 1988 03 4720·
 1988 04 6724.
 1988 05 9122·
 1988 06 4529.
 1988 07 2722·
 1988 08 420.
 1988 09 4319·
 1988 10 6134·
 1988 11 018.
 1988 12 3021.
 1989 01  7728.
 1989 02  7018·
 1989 03  2413.
 1989 04  3417.
 1989 05  1118.
 1989 06  2216.
 1989 07  7927·
 1989 08  2932·
 1989 09  8915·
 1989 10  9317.
 1989 11  7218·
 1989 12  5110·
 1990 01 807·
 1990 02 8315·
 1990 03 3517.
 1990 04 6521.
 1990 05 7917.
 1990 06 1718·
 1990 07 2522·
 1990 08 5811·
 1990 09 512·
 1990 10 4717·
 1990 11 2317.
 1990 12 427·
 1991 01  210.
 1991 02  4613.
 1991 03  3619.
 1991 04  5718.
 1991 05  3920·
 1991 06  1614.
 1991 07  9617·
 1991 08  6420.
 1991 09  1118.
 1991 10  8216·
 1991 11  5817·
 1991 12  5117.
 1992 01 3516·
 1992 02 959·
 1992 03 614.
 1992 04 3311·
 1992 05 5715·
 1992 06 2919.
 1992 07 4521·
 1992 08 4515·
 1992 09 469·
 1992 10 8613.
 1992 11 727·
 1992 12 5210·
 1993 01  9514·
 1993 02  9019.
 1993 03  4912·
 1993 04  4115.
 1993 05  2513·
 1993 06  9219·
 1993 07  5211.
 1993 08  2515.
 1993 09  787·
 1993 10  6814·
 1993 11  2316.
 1993 12  4212.
 1994 01 258.
 1994 02 17
 1994 03 933·
 1994 04 553.
 1994 05 592.
 1994 06 653.
 1994 07 20
 1994 08 523·
 1994 09 998.
 1994 10 637·
 1994 11 853.
 1994 12 455.
 1995 01  904.
 1995 02  863.
 1995 03  954.
 1995 04  738·
 1995 05  19·
 1995 06  3511·
 1995 07  809·
 1995 08  986.
 1995 09  265.
 1995 10  334·
 1995 11  995·
 1995 12  81.
 1996 01 831.
 1996 02 336.
 1996 04 320.
 1996 05 17
 1996 06 184·
 1996 07 104.
 1996 08 864.
 1996 09 618·
 1996 10 9912.
 1996 11 634·
 1996 12 937.
 1997 02  51.
 1997 03  21
 1997 04  191.
 1997 05  91.
 1997 06  350·
 1997 07  20·
 1997 08  271.
 1997 09  163·
 1997 10  654·
 1997 11  874·
 1997 12  642·
 1998 01 211·
 1998 02 330·
 1998 04 45
 1998 05 292·
 1998 06 565.
 1998 07 10·
 1998 08 700.
 1998 09 470.
 1998 10 763·
 1998 11 581·
 1998 12 813·
 1999 01  701.
 1999 02  646.
 1999 03  166·
 1999 04  230·
 1999 05  731.
 1999 06  262.
 1999 07  132.
 1999 08  64
 1999 10  560·
 1999 11  944·
 1999 12  131·
 2000 01 985·
 2000 02 445.
 2000 03 251.
 2000 04 2
 2000 05 451.
 2000 06 875·
 2000 07 02·
 2000 08 946.
 2000 09 493·
 2000 10 622·
 2000 11 25
 2001 02  273.
 2001 03  795·
 2001 04  693·
 2001 05  338·
 2001 06  638·
 2001 07  296.
 2001 08  327.
 2001 09  801.
 2001 10  911.
 2001 11  192.
 2001 12  30.
 2002 09 481·
 2002 12 242.
 2003 01  920·
 2003 02  572.
 2003 03  432.
 2003 04  992.
 2003 05  174.
 2003 07  931.
 2003 08  983·
 2003 09  791·
 2003 10  891·
 2003 12  391.
 2004 01 681.
 2004 03 52
 2004 07 274.
 2004 08 436.
 2004 09 355.
 2004 10 319·
 2004 11 754·
 2004 12 814.
 2005 01  64.
 2005 02  545.
 2005 03  33·
 2005 04  54
 2005 05  132·
 2005 06  842.
 2005 07  3
 2005 08  883.
 2005 09  124.
 2005 10  86.
 2005 11  966.
 2005 12  31
 2006 01 842.
 2006 02 400.
 2006 03 253.
 2006 07 613·
 2006 08 383·
 2006 09 173.
 2006 10 603·
 2006 11 770·
 2006 12 31.
 2007 03  32·
 2007 04  952·
 2007 05  4
 2007 06  372·
 2007 07  855·
 2007 08  493·
 2007 09  943.
 2007 10  223.
 2007 11  763.
 2008 02 662·
 2008 03 212·
 2008 04 642.
 2008 05 145.
 2008 09 152.
 2008 10 86
 2008 11 944.
 2008 12 623·
 2009 01  911.
 2009 05  141.
 2009 06  70
 2009 07  81.
 2009 08  12
 2009 09  550·
 2009 10  720·
 2009 11  640·
 2009 12  232·
 2010 01 864.
 2010 02 90·
 2010 03 690·
 2010 04 933·
 2010 05 66.
 2010 06 106.
 2010 07 856·
 2010 08 161·
 2010 09 413·
 2010 10 34
 2010 11 12·
 2010 12 100·
 2011 01  410.
 2011 02  610·
 2011 03  290·
 2011 04  214.
 2011 05  814·
 2011 06  984·
 2011 07  74.
 2011 08  183.
 2011 09  630.
 2011 10  773·
 2011 11  990.
 2011 12  940.
 2012 01 116.
 2012 02 557.
 2012 03 91
 2012 04 684·
 2012 05 756·
 2012 06 127·
 2012 07 9610·
 2012 08 864·
 2012 09 324.
 2012 10 57
 2012 11 540.
 2012 12 1510.
 2013 01  817·
 2013 02  204.
 2013 03  264.
 2013 04  500.
 2013 05  480.
 2013 06  570.
 2013 07  10.
 2013 08  110.
 2013 09  830.
 2013 10  524·
 2013 11  914.
 2013 12  413.
 2014 01 625.
 2014 02 100.
 2014 03 340·
 2014 04 10
 2014 05 864·
 2014 06 623·
 2014 07 930.
 2014 08 110·
 2014 09 780.
 2014 10 670·
 2014 11 570·
 2014 12 644.
 2015 01  913.
 2015 02  43·
 2015 03  370.
 2015 04  13
 2015 05  98
 2015 06  824·
 2015 07  721.
 2015 08  261·
 2015 09  2
 2015 10  311·
 2015 11  250.
 2015 12  03·
 2016 01 260·
 2016 02 80.
 2016 03 830.
 2016 04 510.
 2016 05 22
 2016 06 950.
 2016 07 600·
 2016 08 251.


 2016 09 643.
 2016 10 982·
 2016 11 943.
 2016 12 91
 2017 01  544.
 2017 02  504.
 2017 03  463·
 2017 04  420.
 2017 05  161·
 2017 06  61·
 2017 07  61·
 2017 08  983.
 2017 09  20.
 2017 10  480·
 2017 11  860.
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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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