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 Series Title: Persons At Work in Nonagricultural Industries, Unpaid Family Workers, 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 1539·
 2012 03 9834·
 2012 02 3566.
 2012 01 7257.
 2011 12  8058·
 2011 11  3223.
 2011 10  327.
 2011 09  9728·
 2011 08  9935.
 2011 07  5331·
 2011 06  6039.
 2011 05  840·
 2011 04  2259·
 2011 03  4167·
 2011 02  1852.
 2011 01  4944·
 2010 12 2549·
 2010 11 342.
 2010 10 1559·
 2010 09 9038.
 2010 08 726.
 2010 07 7149·
 2010 06 1455.
 2010 05 2533.
 2010 04 9552.
 2010 03 142.
 2010 02 450.
 2010 01 7246·
 2009 12  3960·
 2009 11  7639.
 2009 10  9641·
 2009 09  7652.
 2009 08  1446·
 2009 07  252·
 2009 06  2851·
 2009 05  641.
 2009 04  2042·
 2009 03  1042·
 2009 02  6539.
 2009 01  5622·
 2008 12 8434.
 2008 11 5733·
 2008 10 9325.
 2008 09 4523·
 2008 08 5542.
 2008 07 2564·
 2008 06 2674·
 2008 05 1877.
 2008 04 872·
 2008 03 2048.
 2008 02 052·
 2008 01 4438·
 2007 12  4543.
 2007 11  7446·
 2007 10  8047.
 2007 09  1662.
 2007 08  9062.
 2007 07  4455.
 2007 06  5365.
 2007 05  5453·
 2007 04  9459·
 2007 03  1169.
 2007 02  3259.
 2007 01  263.
 2006 12 3340.
 2006 11 8253.
 2006 10 5557·
 2006 09 2947·
 2006 08 631·
 2006 07 8959·
 2006 06 8558·
 2006 05 3059.
 2006 04 3939·
 2006 03 8843.
 2006 02 1037·
 2006 01 2233·
 2005 12  8333·
 2005 11  6150.
 2005 10  4144·
 2005 09  5244·
 2005 08  1350·
 2005 07  1474·
 2005 06  1952·
 2005 05  8732.
 2005 04  2848·
 2005 03  8060.
 2005 02  577·
 2005 01  2263·
 2004 12 5644.
 2004 11 1437.
 2004 10 8758·
 2004 09 7656.
 2004 08 4648.
 2004 07 9832·
 2004 06 7874·
 2004 05 9359.
 2004 04 7343·
 2004 03 4084.
 2004 02 1661·
 2004 01 4254·
 2003 12  3764·
 2003 11  7159.
 2003 10  6469·
 2003 09  1866.
 2003 08  6557·
 2003 07  4672·
 2003 06  962.
 2003 05  3975.
 2003 04  755.
 2003 03  4951.
 2003 02  6641.
 2003 01  5040.
 2002 12 3843.
 2002 11 8565·
 2002 10 7163.
 2002 09 2052·
 2002 08 5853.
 2002 07 8750·
 2002 06 8763·
 2002 05 4263.
 2002 04 9267·
 2002 03 1063·
 2002 02 357.
 2002 01 3769.
 2001 12  9267.
 2001 11  3749.
 2001 10  3162.
 2001 09  4854·
 2001 08  3362.
 2001 07  7547·
 2001 06  974·
 2001 05  4480·
 2001 04  1485.
 2001 03  5488·
 2001 02  088.
 2001 01  2070.
 2000 12 6266·
 2000 11 3187.
 2000 10 9277·
 2000 09 9551.
 2000 08 2776·
 2000 07 8955·
 2000 06 9850.
 2000 05 1250.
 2000 04 8376·
 2000 03 3371·
 2000 02 5651·
 2000 01 4259.
 1999 12  3354·
 1999 11  9670.
 1999 10  2843.
 1999 09  7758.
 1999 08  052.
 1999 07  3437·
 1999 06  256.
 1999 05  3828·
 1999 04  3525.
 1999 03  2869·
 1999 02  9278·
 1999 01  6874·
 1998 12 1456·
 1998 11 8667.
 1998 10 3561.
 1998 09 3664.
 1998 08 3758·
 1998 07 3961·
 1998 06 9560.
 1998 05 3746.
 1998 04 3062.
 1998 03 4346·
 1998 02 5860.
 1998 01 9058·
 1997 12  4250.
 1997 11  8148·
 1997 10  3947.
 1997 09  3957.
 1997 08  5063.
 1997 07  5889·
 1997 06  7498.
 1997 05  5388·
 1997 04  5359·
 1997 03  761.
 1997 02  2769.
 1997 01  2695.
 1996 12 7877·
 1996 11 8474.
 1996 10 8585.
 1996 09 7875·
 1996 08 7364·
 1996 07 7171.
 1996 06 6281.
 1996 05 5255.
 1996 04 1642·
 1996 03 7572·
 1996 02 9557·
 1996 01 1754.
 1995 12  653.
 1995 11  2659.
 1995 10  4869·
 1995 09  6967·
 1995 08  6870.
 1995 07  8269.
 1995 06  864.
 1995 05  2574.
 1995 04  5366·
 1995 03  2580·
 1995 02  8756·
 1995 01  3053.
 1994 12 3756·
 1994 11 6062·
 1994 10 2579.
 1994 09 5461.
 1994 08 2077·
 1994 07 2181.
 1994 06 8498·
 1994 05 9072·
 1994 04 2685.
 1994 03 6297·
 1994 02 5174·
 1994 01 5771·
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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, Unpaid Family Workers, 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

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