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 Series Title: Persons At Work in Nonagricultural Industries, Self-employed Workers, Unincorporated, Worked 1-34 Hours: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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 2012 04 453143.
 2012 03 933080.
 2012 02 233069·
 2012 01 643364.
 2011 12  673232·
 2011 11  863311.
 2011 10  773284·
 2011 09  263218·
 2011 08  03178·
 2011 07  223096.
 2011 06  763179·
 2011 05  313285.
 2011 04  923280.
 2011 03  813340·
 2011 02  323382.
 2011 01  223514·
 2010 12 213402·
 2010 11 713225·
 2010 10 833350.
 2010 09 693324·
 2010 08 863207·
 2010 07 233298·
 2010 06 933303.
 2010 05 653350·
 2010 04 133414·
 2010 03 943467·
 2010 02 503619.
 2010 01 313209.
 2009 12  523492·
 2009 11  663434·
 2009 10  653413·
 2009 09  103821·
 2009 08  783259.
 2009 07  443348·
 2009 06  773303·
 2009 05  713288.
 2009 04  923569.
 2009 03  613447·
 2009 02  493529·
 2009 01  83268.
 2008 12 193285·
 2008 11 743189.
 2008 10 693108.
 2008 09 413086.
 2008 08 103161·
 2008 07 633106.
 2008 06 503202.
 2008 05 133139·
 2008 04 403194·
 2008 03 362909.
 2008 02 293174.
 2008 01 953073·
 2007 12  93067.
 2007 11  242960·
 2007 10  702966·
 2007 09  793065·
 2007 08  432999·
 2007 07  853001.
 2007 06  603072.
 2007 05  862947.
 2007 04  932902·
 2007 03  982939.
 2007 02  122998·
 2007 01  582995·
 2006 12 323035·
 2006 11 723124.
 2006 10 642965.
 2006 09 672921.
 2006 08 632918.
 2006 07 382843·
 2006 06 803002·
 2006 05 42933·
 2006 04 102929.
 2006 03 522939·
 2006 02 463128.
 2006 01 903053.
 2005 12  243038·
 2005 11  972904·
 2005 10  763100.
 2005 09  702822·
 2005 08  802814·
 2005 07  782752.
 2005 06  82906·
 2005 05  112894.
 2005 04  782882.
 2005 03  272998.
 2005 02  43039.
 2005 01  83131·
 2004 12 443037·
 2004 11 23182·
 2004 10 533331.
 2004 09 802941.
 2004 08 292993·
 2004 07 832911.
 2004 06 672918·
 2004 05 722933·
 2004 04 72858·
 2004 03 782821.
 2004 02 842893·
 2004 01 522953.
 2003 12  792987·
 2003 11  173071.
 2003 10  683043.
 2003 09  152942·
 2003 08  712909.
 2003 07  582830·
 2003 06  62967.
 2003 05  802826.
 2003 04  332897.
 2003 03  822755.
 2003 02  102980.
 2003 01  902948.
 2002 12 402996·
 2002 11 973022.
 2002 10 202896.
 2002 09 162742.
 2002 08 922812·
 2002 07 322721·
 2002 06 972636·
 2002 05 512754.
 2002 04 162723.
 2002 03 462673·
 2002 02 292644·
 2002 01 142538.
 2001 12  612660·
 2001 11  202786·
 2001 10  302876.
 2001 09  502803·
 2001 08  32660·
 2001 07  602807.
 2001 06  382872·
 2001 05  272647·
 2001 04  422803·
 2001 03  982825·
 2001 02  152635·
 2001 01  402768.
 2000 12 32672.
 2000 11 912630·
 2000 10 492700·
 2000 09 82757.
 2000 08 382602·
 2000 07 202660.
 2000 06 532633.
 2000 05 752730·
 2000 04 212670·
 2000 03 922770.
 2000 02 652766·
 2000 01 112877.
 1999 12  522465·
 1999 11  392603.
 1999 10  472615·
 1999 09  82683·
 1999 08  582592.
 1999 07  172555.
 1999 06  892552.
 1999 05  872415.
 1999 04  892524.
 1999 03  82587·
 1999 02  22586.
 1999 01  922743.
 1998 12 192504·
 1998 11 192695·
 1998 10 252649.
 1998 09 913517·
 1998 08 502662.
 1998 07 812740·
 1998 06 202678.
 1998 05 802735·
 1998 04 62774.
 1998 03 512851·
 1998 02 752633.
 1998 01 762849.
 1997 12  382708·
 1997 11  102786.
 1997 10  32845·
 1997 09  252769·
 1997 08  222624.
 1997 07  652568.
 1997 06  432749·
 1997 05  952708·
 1997 04  582706.
 1997 03  482957.
 1997 02  562873·
 1997 01  802900.
 1996 12 712882·
 1996 11 162848.
 1996 10 322663.
 1996 09 02626.
 1996 08 122617.
 1996 07 492776.
 1996 06 822720.
 1996 05 992652·
 1996 04 562771·
 1996 03 552786.
 1996 02 452928.
 1996 01 452919·
 1995 12  32755.
 1995 11  662629.
 1995 10  832841.
 1995 09  342738.
 1995 08  792701·
 1995 07  372803.
 1995 06  842705·
 1995 05  842834.
 1995 04  352906·
 1995 03  512901.
 1995 02  622913·
 1995 01  392875·
 1994 12 452860.
 1994 11 152934.
 1994 10 552797·
 1994 09 682735.
 1994 08 102717·
 1994 07 592653.
 1994 06 242659·
 1994 05 662839·
 1994 04 552863.
 1994 03 412959.
 1994 02 583260·
 1994 01 522982·
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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: Persons At Work in Nonagricultural Industries, Self-employed Workers, Unincorporated, Worked 1-34 Hours: 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

Make charts for Okun's Law and Phillip's Curve

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