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 Series Title: Employed: Self-employed Workers, Unincorporated, Nondurable goods manufacturing, Men: NSA
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 2012 04 8752.
 2012 03 8647.
 2012 02 9346·
 2012 01 3558.
 2011 12  6559.
 2011 11  3650·
 2011 10  338.
 2011 09  5455·
 2011 08  5440.
 2011 07  2849.
 2011 06  5840·
 2011 05  1553·
 2011 04  352·
 2011 03  4361.
 2011 02  7157·
 2011 01  6238.
 2010 12 8855.
 2010 11 9063.
 2010 10 7861·
 2010 09 6554.
 2010 08 1071·
 2010 07 9870.
 2010 06 4559.
 2010 05 1867·
 2010 04 9363·
 2010 03 2564.
 2010 02 5776·
 2010 01 4053.
 2009 12  8862.
 2009 11  5355.
 2009 10  2967.
 2009 09  7586·
 2009 08  7086·
 2009 07  8755.
 2009 06  9759·
 2009 05  9271·
 2009 04  4056.
 2009 03  6158·
 2009 02  2558·
 2009 01  8642.
 2008 12 2443·
 2008 11 2946.
 2008 10 249.
 2008 09 7563·
 2008 08 7155·
 2008 07 7546·
 2008 06 3937.
 2008 05 445·
 2008 04 5746·
 2008 03 454·
 2008 02 7435.
 2008 01 4135·
 2007 12  8241.
 2007 11  4952·
 2007 10  7141.
 2007 09  8255·
 2007 08  7353.
 2007 07  6653.
 2007 06  1764·
 2007 05  4546·
 2007 04  7877.
 2007 03  3673.
 2007 02  2646·
 2007 01  7445.
 2006 12 7455·
 2006 11 6635·
 2006 10 3452.
 2006 09 3857.
 2006 08 6155.
 2006 07 8853.
 2006 06 653.
 2006 05 3265·
 2006 04 6476·
 2006 03 5873·
 2006 02 2866·
 2006 01 7562·
 2005 12  3448.
 2005 11  5949·
 2005 10  1542.
 2005 09  1043.
 2005 08  4740·
 2005 07  9639·
 2005 06  359·
 2005 05  764.
 2005 04  153.
 2005 03  257.
 2005 02  5570·
 2005 01  6180·
 2004 12 2457·
 2004 11 3355.
 2004 10 6051·
 2004 09 8935.
 2004 08 6547.
 2004 07 7068·
 2004 06 3157.
 2004 05 3751·
 2004 04 9968.
 2004 03 2173·
 2004 02 466·
 2004 01 7482·
 2003 12  2868·
 2003 11  1759.
 2003 10  4466·
 2003 09  9372.
 2003 08  7681.
 2003 07  1491.
 2003 06  3890.
 2003 05  1469·
 2003 04  9451·
 2003 03  9563.
 2003 02  9965·
 2003 01  8181.
 2002 12 5780.
 2002 11 6586·
 2002 10 6588·
 2002 09 6266.
 2002 08 6663.
 2002 07 5755·
 2002 06 9858.
 2002 05 5461.
 2002 04 4555.
 2002 03 2774·
 2002 02 8758·
 2002 01 7361·
 2001 12  4767·
 2001 11  5770·
 2001 10  4472.
 2001 09  6575·
 2001 08  45102.
 2001 07  5395·
 2001 06  873·
 2001 05  9962.
 2001 04  4059.
 2001 03  4871.
 2001 02  4161.
 2001 01  6858·
 2000 12 5838·
 2000 11 9743·
 2000 10 3165.
 2000 09 9258·
 2000 08 4886·
 2000 07 8274.
 2000 06 9273.
 2000 05 1674.
 2000 04 8864·
 2000 03 1161.
 2000 02 6062·
 2000 01 758·
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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: Employed: Self-employed Workers, Unincorporated, Nondurable goods manufacturing, Men: 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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