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 Series Title: Employment Level: Agriculture and Related Industries, Unpaid Family Workers, 25-34 years, Women: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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 2012 04 210·
 2012 03 490·
 2012 02 58
 2012 01 500·
 2011 12  540·
 2011 11  97
 2011 10  100·
 2011 09  540·
 2011 08  723.
 2011 07  620.
 2011 06  82
 2011 05  760.
 2011 04  250.
 2011 03  250·
 2011 02  860.
 2011 01  592·
 2010 12 90
 2010 11 952·
 2010 10 604·
 2010 09 720·
 2010 08 650·
 2010 07 12.
 2010 06 680.
 2010 05 113.
 2010 04 785.
 2010 03 14.
 2010 02 984.
 2010 01 930.
 2009 12  770·
 2009 11  770·
 2009 10  610.
 2009 09  642·
 2009 08  392.
 2009 07  352.
 2009 06  96
 2009 04  913·
 2009 03  631.
 2009 02  64.
 2009 01  664.
 2008 12 713.
 2008 11 765·
 2008 07 481·
 2008 06 591·
 2007 12  202·
 2007 11  282.
 2007 07  420.
 2007 06  881·
 2006 08 854.
 2006 06 930·
 2006 05 943·
 2005 09  903·
 2005 08  333.
 2005 07  733·
 2005 06  360.
 2005 05  294.
 2004 11 59
 2004 10 922.
 2004 09 263·
 2004 04 920.
 2004 03 820.
 2004 02 20·
 2004 01 440.
 2003 12  920.
 2003 11  471.
 2003 10  77
 2003 04  971·
 2003 03  683·
 2002 07 220.
 2002 06 193.
 2002 05 174·
 2002 04 816.
 2002 03 12.
 2002 02 512.
 2002 01 614.
 2001 12  203·
 2001 11  42·
 2001 10  254·
 2001 09  106.
 2001 08  982·
 2001 05  752.
 2001 03  170·
 2000 10 702·
 2000 09 532·
 2000 08 833·
 2000 05 262.
 1999 11  743.
 1999 10  482.
 1999 09  222·
 1999 08  78
 1999 04  784.
 1999 03  701·
 1999 02  110·
 1999 01  235.
 1998 10 634·
 1998 09 327.
 1998 08 953.
 1998 07 371·
 1998 06 371.
 1998 05 727.
 1998 04 423.
 1998 03 192.
 1998 02 314.
 1998 01 544·
 1997 12  468.
 1997 11  977·
 1997 10  15·
 1997 09  652·
 1997 08  283.
 1997 07  195·
 1997 06  306.
 1997 05  174.
 1997 04  307.
 1997 03  615·
 1997 01  235.
 1996 12 502·
 1996 11 238·
 1996 10 259·
 1996 09 1313·
 1996 08 2510·
 1996 07 993·
 1996 06 34
 1996 05 562·
 1996 04 304·
 1996 03 791·
 1996 02 391.
 1996 01 341·
 1995 12  80
 1995 11  73.
 1995 10  175·
 1995 09  546.
 1995 08  104.
 1995 07  515.
 1995 06  665·
 1995 05  466.
 1995 04  854.
 1995 03  67·
 1995 02  131.
 1995 01  68
 1994 12 921·
 1994 11 913.
 1994 10 82.
 1994 09 22.
 1994 08 443·
 1994 07 503·
 1994 06 274.
 1994 05 532.
 1994 04 794.
 1994 03 524.
 1994 02 695.
 1994 01 555·
 1993 12  606·
 1993 11  916.
 1993 10  607·
 1993 09  6214.
 1993 08  7414·
 1993 07  879.
 1993 06  518.
 1993 05  5711·
 1993 04  366·
 1993 03  847.
 1993 02  177.
 1993 01  47
 1992 12 81
 1992 11 5011·
 1992 10 5810.
 1992 09 637.
 1992 08 749·
 1992 07 8013·
 1992 06 015.
 1992 05 6213·
 1992 04 38.
 1992 03 936·
 1992 02 93
 1992 01 266.
 1991 12  796.
 1991 11  3412.
 1991 10  1315.
 1991 09  6012·
 1991 08  4211·
 1991 07  709·
 1991 06  5917·
 1991 05  9813·
 1991 04  534.
 1991 03  975·
 1991 02  588·
 1991 01  9510·
 1990 12 213·
 1990 11 347.
 1990 10 592·
 1990 09 32
 1990 08 010·
 1990 07 2510·
 1990 06 3915·
 1990 05 1814·
 1990 04 8615.
 1990 03 3815·
 1990 02 963·
 1990 01 8312.
 1989 12  227·
 1989 11  6916·
 1989 10  5818·
 1989 09  8315·
 1989 08  9716·
 1989 07  3512·
 1989 06  7415·
 1989 05  219·
 1989 04  2212·
 1989 03  8211.
 1989 02  1916.
 1989 01  4413·
 1988 12 3817·
 1988 11 7812.
 1988 10 9526·
 1988 09 439.
 1988 08 525·
 1988 07 1828·
 1988 06 2621·
 1988 05 5418·
 1988 04 1225.
 1988 03 2116·
 1988 02 63
 1988 01 5914·
 1987 12  7210.
 1987 11  3011·
 1987 10  818.
 1987 09  6521.
 1987 08  2316·
 1987 07  1624.
 1987 06  8027.
 1987 05  421·
 1987 04  2823·
 1987 03  7113.
 1987 02  8714·
 1987 01  3112·
 1986 12 7423.
 1986 11 1616.
 1986 10 5019.
 1986 09 3022.
 1986 08 7428.
 1986 07 9532.
 1986 06 4716.
 1986 05 523·
 1986 04 6718·
 1986 03 7616·
 1986 02 7715·
 1986 01 9019.
 1985 12  1520.
 1985 11  5315·
 1985 10  6514.
 1985 09  4020.
 1985 08  636.
 1985 07  4723·
 1985 06  6223·
 1985 05  3819.
 1985 04  5316.
 1985 03  021.
 1985 02  436·
 1985 01  9010·
 1984 12 9414·
 1984 11 8321.
 1984 10 1024.
 1984 09 2722·
 1984 08 9123·
 1984 07 8935·
 1984 06 8629.
 1984 05 631·
 1984 04 3423·
 1984 03 3720.
 1984 02 2225·
 1984 01 1015·
 1983 12  3418·
 1983 11  7222.
 1983 10  9527.
 1983 09  4331·
 1983 08  2938.
 1983 07  6347·
 1983 06  441·
 1983 05  3925.
 1983 04  8331·
 1983 03  336·
 1983 02  7423·
 1983 01  5421.
 1982 12 8317.
 1982 11 1219·
 1982 10 5731·
 1982 09 6932·
 1982 08 4232·
 1982 07 3544·
 1982 06 2751.
 1982 05 9144·
 1982 04 9837·
 1982 03 4037·
 1982 02 8536.
 1982 01 5232·
 1981 12  1434·
 1981 11  2147·
 1981 10  5647.
 1981 09  843·
 1981 08  7745·
 1981 07  9742.
 1981 06  9038·
 1981 05  4133·
 1981 04  223.
 1981 03  1429·
 1981 02  6415·
 1981 01  5812·
 1980 12 2523·
 1980 11 3936.
 1980 10 7758.
 1980 09 9039.
 1980 08 950.
 1980 07 6737.
 1980 06 5541.
 1980 05 9438.
 1980 04 4324·
 1980 03 1725·
 1980 02 4821.
 1980 01 5215.
 1979 12  3927.
 1979 11  3428·
 1979 10  3131.
 1979 09  6947.
 1979 08  3535.
 1979 07  8647.
 1979 06  549.
 1979 05  7948.
 1979 04  9432·
 1979 03  6730·
 1979 02  9621.
 1979 01  3727.
 1978 12 434.
 1978 11 9735.
 1978 10 5446.
 1978 09 2536·
 1978 08 7859·
 1978 07 2060.
 1978 06 5360.
 1978 05 5037.
 1978 04 5335.
 1978 03 539·
 1978 02 9531·
 1978 01 4325·
 1977 12  9330·
 1977 11  4643.
 1977 10  640·
 1977 09  6233.
 1977 08  8655.
 1977 07  6265.
 1977 06  3464·
 1977 05  8768.
 1977 04  4453.
 1977 03  9733.
 1977 02  5624.
 1977 01  2520.
 1976 12 531·
 1976 11 2138.
 1976 10 7243·
 1976 09 832.
 1976 08 3244·
 1976 07 2845.
 1976 06 846·
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US Unemployment Rate: Alternative Measures of Labor Underutilization

Charts

Unemployment Rate: US Unemployment Rate: 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.
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      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, 25-34 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

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

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