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 Series Title: Employment Level: Agriculture and Related Industries, Self-employed Workers, Unincorporated, 18-19 years, Women: NSA
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 2012 04 660.
 2012 03 600·
 2012 02 300.
 2012 01 731.
 2011 12  80.
 2011 11  600.
 2011 10  513.
 2011 09  384.
 2011 08  543·
 2011 07  950.
 2011 06  101.
 2011 05  391·
 2011 04  551.
 2011 03  471.
 2011 02  200·
 2011 01  200.
 2010 12 852.
 2010 11 242·
 2010 10 203·
 2010 09 500·
 2010 08 450·
 2010 07 570.
 2010 06 720.
 2010 05 250.
 2010 04 600·
 2010 03 30.
 2010 02 630.
 2010 01 622.
 2009 12  810.
 2009 11  420.
 2009 10  80.
 2009 09  6
 2009 08  833.
 2009 07  83
 2009 06  435·
 2009 05  265.
 2009 04  670.
 2008 12 560·
 2008 11 320.
 2008 09 161.
 2008 08 580·
 2008 07 181.
 2008 06 621·
 2008 05 950·
 2007 11  62.
 2006 10 501·
 2006 07 471.
 2006 06 81.
 2005 11  873·
 2005 07  60
 2005 06  242.
 2005 02  23
 2004 12 13.
 2004 07 802.
 2004 06 560.
 2004 05 350.
 2004 04 74
 2004 03 640.
 2004 01 322.
 2003 12  631.
 2003 10  556.
 2003 06  964.
 2003 05  63
 2002 08 513·
 2002 07 214·
 2002 06 824.
 2002 05 891.
 2001 09  681.
 2001 08  723.
 2001 07  542·
 2001 01  712·
 2000 11 83·
 2000 10 323.
 2000 09 682·
 2000 08 9710·
 2000 06 91
 2000 05 532·
 2000 04 52.
 2000 02 821.
 2000 01 602·
 1999 12  101.
 1999 11  731.
 1999 08  612.
 1999 07  851.
 1999 06  31.
 1999 02  41·
 1998 12 996.
 1998 11 606·
 1998 10 585·
 1998 08 531.
 1998 07 845·
 1998 06 32·
 1998 05 252.
 1998 04 21·
 1997 12  270.
 1997 11  600.
 1997 10  800·
 1997 09  591.
 1997 08  681.
 1997 07  991.
 1997 06  22
 1997 05  542.
 1997 04  682·
 1997 03  152·
 1997 02  772.
 1996 08 445.
 1996 07 160.
 1996 06 260.
 1996 05 964·
 1996 04 123·
 1996 03 250·
 1996 02 770.
 1996 01 540.
 1995 12  63
 1995 11  320·
 1995 10  360·
 1995 09  513.
 1995 08  304·
 1995 07  13·
 1995 06  995.
 1995 05  142.
 1995 04  682·
 1995 03  192.
 1995 02  831·
 1995 01  911.
 1994 10 600.
 1994 09 992·
 1994 08 34
 1994 07 59
 1994 06 125.
 1994 05 805.
 1994 04 202.
 1994 03 186.
 1994 02 568·
 1994 01 234.
 1993 12  363.
 1993 11  931.
 1993 10  482·
 1993 09  186·
 1993 08  04.
 1993 07  357·
 1993 06  717.
 1993 05  76
 1993 04  581.
 1993 03  192.
 1991 09  303.
 1991 08  361.
 1991 07  773.
 1991 06  453·
 1991 01  581·
 1990 12 603.
 1990 11 522·
 1990 10 397.
 1990 09 107.
 1990 08 374.
 1990 06 32.
 1990 05 523.
 1990 01 70
 1989 12  792.
 1989 11  722.
 1989 10  591.
 1989 09  421.
 1989 08  253·
 1989 07  315·
 1989 06  596·
 1989 05  601.
 1988 09 371.
 1988 08 722·
 1988 07 792.
 1988 06 794.
 1988 05 23.
 1988 01 153·
 1987 10  692.
 1987 09  823.
 1987 08  35
 1987 07  3
 1987 03  41·
 1987 02  741·
 1987 01  73
 1986 12 71.
 1986 08 845·
 1985 12  881.
 1985 10  781.
 1985 09  202.
 1985 08  363·
 1985 05  802·
 1985 03  391.
 1984 09 611.
 1984 07 97·
 1984 06 314.
 1984 02 682.
 1984 01 752.
 1983 12  793.
 1983 11  504.
 1983 07  32.
 1983 06  311·
 1983 05  462.
 1983 04  662.
 1983 02  8
 1982 12 222.
 1982 08 36
 1982 07 371.
 1982 06 702.
 1982 02 681·
 1982 01 992·
 1981 12  443.
 1981 11  34.
 1981 10  131·
 1981 09  102·
 1981 08  953·
 1981 07  43
 1981 06  275·
 1981 05  70
 1981 03  202.
 1981 01  541·
 1980 10 3
 1980 07 32.
 1980 06 762.
 1980 04 23
 1980 02 601·
 1979 08  625.
 1979 07  451.
 1979 03  64
 1978 12 431·
 1978 11 203·
 1978 10 346·
 1978 09 157·
 1978 08 204.
 1978 07 792.
 1978 06 743.
 1978 05 382·
 1978 01 872.
 1977 11  641·
 1977 10  221·
 1977 09  223·
 1977 08  614.
 1977 07  241.
 1977 06  591·
 1977 05  781.
 1976 09 881.
 1976 08 366.
 1976 07 927.
 1976 06 46
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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

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      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, Self-employed Workers, Unincorporated, 18-19 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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