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 Series Title: Employment Level: Nonagriculture, Self-employed Workers, Unincorporated, 16-17 years: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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 2012 04 7929.
 2012 03 6110·
 2012 02 8020.
 2012 01 7513·
 2011 12  1215.
 2011 11  5625·
 2011 10  7638·
 2011 09  7150.
 2011 08  1865·
 2011 07  5637.
 2011 06  8060.
 2011 05  7128·
 2011 04  4720·
 2011 03  4212·
 2011 02  39·
 2011 01  2029·
 2010 12 7517.
 2010 11 2224·
 2010 10 8526·
 2010 09 8726·
 2010 08 139·
 2010 07 2649.
 2010 06 8729·
 2010 05 6724·
 2010 04 5124.
 2010 03 1118·
 2010 02 9814·
 2010 01 7812·
 2009 12  7614·
 2009 11  5920·
 2009 10  3123.
 2009 09  6540.
 2009 08  5148.
 2009 07  7664·
 2009 06  2336·
 2009 05  9634.
 2009 04  7637.
 2009 03  9528.
 2009 02  3712.
 2009 01  6617·
 2008 12 77
 2008 11 7219.
 2008 10 6215.
 2008 09 9538·
 2008 08 464.
 2008 07 8841.
 2008 06 1049·
 2008 05 2624·
 2008 04 3332·
 2008 03 5114·
 2008 02 1924·
 2008 01 2733.
 2007 12  6326.
 2007 11  9136·
 2007 10  5241·
 2007 09  9544.
 2007 08  2139·
 2007 07  6532·
 2007 06  9738·
 2007 05  4730.
 2007 04  5626.
 2007 03  5627.
 2007 02  6729.
 2007 01  2834·
 2006 12 4424.
 2006 11 6928.
 2006 10 9934.
 2006 09 625.
 2006 08 8638·
 2006 07 3655·
 2006 06 5747.
 2006 05 7748.
 2006 04 738·
 2006 03 1527·
 2006 02 2829.
 2006 01 5925.
 2005 12  5725.
 2005 11  8624.
 2005 10  2544.
 2005 09  9620·
 2005 08  1142·
 2005 07  5665·
 2005 06  8758.
 2005 05  5737.
 2005 04  7129.
 2005 03  5824·
 2005 02  7632·
 2005 01  3727·
 2004 12 6130·
 2004 11 4727·
 2004 10 8032.
 2004 09 5544·
 2004 08 3160.
 2004 07 450.
 2004 06 1141.
 2004 05 5545.
 2004 04 5833.
 2004 03 3821.
 2004 02 824.
 2004 01 622.
 2003 12  4237.
 2003 11  7944.
 2003 10  3436·
 2003 09  234.
 2003 08  748·
 2003 07  8552.
 2003 06  7765.
 2003 05  6247·
 2003 04  539·
 2003 03  3626.
 2003 02  4946·
 2003 01  3056.
 2002 12 1147·
 2002 11 3953·
 2002 10 8848·
 2002 09 7747.
 2002 08 2446·
 2002 07 2775.
 2002 06 5871.
 2002 05 9433·
 2002 04 7135.
 2002 03 5528.
 2002 02 4528.
 2002 01 329.
 2001 12  333·
 2001 11  543.
 2001 10  6447·
 2001 09  4731.
 2001 08  9358.
 2001 07  8543.
 2001 06  5179.
 2001 05  9541·
 2001 04  4330.
 2001 03  2430·
 2001 02  7035.
 2001 01  4132·
 2000 12 7828.
 2000 11 8236·
 2000 10 933.
 2000 09 439.
 2000 08 4969·
 2000 07 3867·
 2000 06 8063.
 2000 05 3026·
 2000 04 3134·
 2000 03 9935.
 2000 02 2239.
 2000 01 8519.
 1999 12  2322.
 1999 11  9828·
 1999 10  9727.
 1999 09  6632·
 1999 08  5339·
 1999 07  9043.
 1999 06  9429.
 1999 05  9110·
 1999 04  6918.
 1999 03  5831.
 1999 02  2424·
 1999 01  328·
 1998 12 4825·
 1998 11 818.
 1998 10 2723.
 1998 09 7325·
 1998 08 9036.
 1998 07 7123.
 1998 06 6410·
 1998 05 9528.
 1998 04 2027.
 1998 03 531.
 1998 02 2429·
 1998 01 8725·
 1997 12  8929·
 1997 11  9131.
 1997 10  2036·
 1997 09  9333·
 1997 08  7139·
 1997 07  3637·
 1997 06  9021·
 1997 05  8424·
 1997 04  6828.
 1997 03  7128·
 1997 02  9537.
 1997 01  5230.
 1996 12 539.
 1996 11 5242·
 1996 10 2628.
 1996 09 1741.
 1996 08 3234.
 1996 07 6343·
 1996 06 9347·
 1996 05 2448.
 1996 04 2439.
 1996 03 835.
 1996 02 3621·
 1996 01 4120·
 1995 12  8326.
 1995 11  2018.
 1995 10  1641·
 1995 09  6337·
 1995 08  3354·
 1995 07  5680·
 1995 06  2378.
 1995 05  840.
 1995 04  2447.
 1995 03  9764·
 1995 02  6859.
 1995 01  2159·
 1994 12 3368·
 1994 11 5050·
 1994 10 9065.
 1994 09 7159·
 1994 08 5982·
 1994 07 4682·
 1994 06 5278.
 1994 05 5251·
 1994 04 2832·
 1994 03 4258.
 1994 02 4172·
 1994 01 8478·
 1993 12  9032·
 1993 11  1928·
 1993 10  7024.
 1993 09  918.
 1993 08  2142·
 1993 07  8544·
 1993 06  7823·
 1993 05  9922·
 1993 04  2112.
 1993 03  7117.
 1993 02  2716·
 1993 01  4510·
 1992 12 1619.
 1992 11 3422·
 1992 10 519·
 1992 09 6929·
 1992 08 5537·
 1992 07 5524·
 1992 06 2434·
 1992 05 1442.
 1992 04 1535·
 1992 03 4032.
 1992 02 2417.
 1992 01 4833.
 1991 12  9533.
 1991 11  2227·
 1991 10  6619·
 1991 09  6721·
 1991 08  2125·
 1991 07  5827·
 1991 06  3937·
 1991 05  8935·
 1991 04  4434·
 1991 03  2832·
 1991 02  5621·
 1991 01  5918·
 1990 12 3925.
 1990 11 3925·
 1990 10 5324.
 1990 09 4529·
 1990 08 530·
 1990 07 2428·
 1990 06 9526·
 1990 05 4222.
 1990 04 7022·
 1990 03 3825·
 1990 02 7024.
 1990 01 7024·
 1989 12  8223.
 1989 11  6416.
 1989 10  899.
 1989 09  7125·
 1989 08  1835·
 1989 07  834.
 1989 06  9124·
 1989 05  1524.
 1989 04  7727·
 1989 03  124·
 1989 02  3920.
 1989 01  9632.
 1988 12 8627·
 1988 11 121·
 1988 10 2129·
 1988 09 3525·
 1988 08 9435·
 1988 07 8830.
 1988 06 4920·
 1988 05 7321·
 1988 04 7737.
 1988 03 7016.
 1988 02 6221·
 1988 01 8223·
 1987 12  3531.
 1987 11  7924·
 1987 10  2227·
 1987 09  5423·
 1987 08  9433.
 1987 07  7042·
 1987 06  1839.
 1987 05  923·
 1987 04  419·
 1987 03  2627·
 1987 02  6129·
 1987 01  9239.
 1986 12 4135·
 1986 11 5231.
 1986 10 9122.
 1986 09 7127·
 1986 08 518·
 1986 07 8245·
 1986 06 7032·
 1986 05 4029·
 1986 04 2039.
 1986 03 7142.
 1986 02 8537.
 1986 01 1925·
 1985 12  3934.
 1985 11  139.
 1985 10  5132.
 1985 09  5230.
 1985 08  3657·
 1985 07  7938·
 1985 06  454·
 1985 05  750.
 1985 04  1142.
 1985 03  3634·
 1985 02  723·
 1985 01  8038·
 1984 12 8954.
 1984 11 2829·
 1984 10 4930·
 1984 09 8934·
 1984 08 2328.
 1984 07 3933·
 1984 06 4237.
 1984 05 7829.
 1984 04 8538·
 1984 03 7447.
 1984 02 2543·
 1984 01 1656.
 1983 12  7859·
 1983 11  6561·
 1983 10  5950.
 1983 09  9844.
 1983 08  2644·
 1983 07  6847.
 1983 06  3352·
 1983 05  4344.
 1983 04  8055·
 1983 03  6548.
 1983 02  6144·
 1983 01  9541.
 1982 12 1556·
 1982 11 6449·
 1982 10 7952·
 1982 09 2350.
 1982 08 3256·
 1982 07 9452·
 1982 06 5035·
 1982 05 2036.
 1982 04 5537·
 1982 03 1441·
 1982 02 6454.
 1982 01 839.
 1981 12  3652·
 1981 11  441.
 1981 10  3131.
 1981 09  2836.
 1981 08  5040·
 1981 07  7250.
 1981 06  9143·
 1981 05  5156·
 1981 04  9755·
 1981 03  4953·
 1981 02  636.
 1981 01  7141·
 1980 12 244·
 1980 11 9244.
 1980 10 6541·
 1980 09 738.
 1980 08 1745·
 1980 07 8249·
 1980 06 7943·
 1980 05 247.
 1980 04 1551·
 1980 03 2567·
 1980 02 8745.
 1980 01 2742.
 1979 12  9940·
 1979 11  5539.
 1979 10  5244.
 1979 09  7528·
 1979 08  9237·
 1979 07  2652.
 1979 06  6153·
 1979 05  6658.
 1979 04  4648.
 1979 03  2248·
 1979 02  2847·
 1979 01  4348·
 1978 12 3644·
 1978 11 4849·
 1978 10 9142.
 1978 09 7655.
 1978 08 6246.
 1978 07 3642·
 1978 06 1232.
 1978 05 5830·
 1978 04 5058·
 1978 03 4340.
 1978 02 7942.
 1978 01 1034·
 1977 12  4940.
 1977 11  5033·
 1977 10  528.
 1977 09  7440.
 1977 08  3639·
 1977 07  6443·
 1977 06  2842.
 1977 05  2137·
 1977 04  1140·
 1977 03  1751·
 1977 02  1153·
 1977 01  4548.
 1976 12 043·
 1976 11 6637·
 1976 10 4224.
 1976 09 6432·
 1976 08 5137.
 1976 07 9154.
 1976 06 3446.
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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.
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: Nonagriculture, Self-employed Workers, Unincorporated, 16-17 years: 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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