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 Series Title: Employment Level: Nonagriculture, Unpaid Family Workers, White: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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 2012 04 9654·
 2012 03 5957.
 2012 02 3562.
 2012 01 9085·
 2011 12  1267·
 2011 11  9443·
 2011 10  2737·
 2011 09  3743·
 2011 08  2750.
 2011 07  5864.
 2011 06  5254·
 2011 05  1458.
 2011 04  8962.
 2011 03  3468·
 2011 02  2157.
 2011 01  6572.
 2010 12 7574.
 2010 11 2769·
 2010 10 7357.
 2010 09 5959.
 2010 08 8444·
 2010 07 7143.
 2010 06 7165·
 2010 05 9157.
 2010 04 4380.
 2010 03 2051.
 2010 02 363.
 2010 01 7947·
 2009 12  162·
 2009 11  5851.
 2009 10  8136·
 2009 09  6858·
 2009 08  3460·
 2009 07  9064·
 2009 06  4476.
 2009 05  2651·
 2009 04  4245.
 2009 03  4843·
 2009 02  5436.
 2009 01  4925.
 2008 12 5147·
 2008 11 8957.
 2008 10 060·
 2008 09 5470·
 2008 08 1172·
 2008 07 95100·
 2008 06 9398·
 2008 05 87108·
 2008 04 98110.
 2008 03 7280.
 2008 02 7379·
 2008 01 1550·
 2007 12  1248·
 2007 11  5156·
 2007 10  268·
 2007 09  3588·
 2007 08  7899·
 2007 07  90118·
 2007 06  67119·
 2007 05  6479·
 2007 04  4683.
 2007 03  7091.
 2007 02  8392·
 2007 01  4682.
 2006 12 9372.
 2006 11 9882.
 2006 10 8690·
 2006 09 5271·
 2006 08 1873.
 2006 07 575·
 2006 06 3974·
 2006 05 7567.
 2006 04 4761·
 2006 03 4860.
 2006 02 3151·
 2006 01 3351·
 2005 12  3057.
 2005 11  994·
 2005 10  7473.
 2005 09  7278·
 2005 08  4277.
 2005 07  9389·
 2005 06  758·
 2005 05  6146.
 2005 04  8569·
 2005 03  3481.
 2005 02  91112.
 2005 01  9381·
 2004 12 8360.
 2004 11 8752·
 2004 10 1571.
 2004 09 8881.
 2004 08 8785·
 2004 07 3552.
 2004 06 9388.
 2004 05 8966·
 2004 04 7262.
 2004 03 8396·
 2004 02 61101.
 2004 01 6777.
 2003 12  39102·
 2003 11  6479.
 2003 10  8299·
 2003 09  1576·
 2003 08  1267.
 2003 07  3361.
 2003 06  4669.
 2003 05  5289.
 2003 04  4382·
 2003 03  7477.
 2003 02  6382·
 2003 01  2349·
 2002 12 764.
 2002 11 9287·
 2002 10 7384·
 2002 09 9672.
 2002 08 477·
 2002 07 1973.
 2002 06 3873·
 2002 05 6683·
 2002 04 6090.
 2002 03 1191·
 2002 02 4792.
 2002 01 51106.
 2001 12  2486·
 2001 11  5165·
 2001 10  1183·
 2001 09  9780·
 2001 08  7293.
 2001 07  4563.
 2001 06  69101.
 2001 05  7291.
 2001 04  694·
 2001 03  24138.
 2001 02  84116·
 2001 01  70116.
 2000 12 49108.
 2000 11 46109·
 2000 10 43112.
 2000 09 1096.
 2000 08 5393.
 2000 07 9183·
 2000 06 6089·
 2000 05 3786.
 2000 04 9397·
 2000 03 6788.
 2000 02 7369·
 2000 01 2085·
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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, Unpaid Family Workers, White: 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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