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 Series Title: Employment Level: Nonagriculture, Unpaid Family Workers, White: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Yearly Chart  |  Excel file  |  Self-updating Excel file
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 2000 01 8085.
 2000 02 3369·
 2000 03 3588.
 2000 04 9097.
 2000 05 2486·
 2000 06 6689.
 2000 07 4883.
 2000 08 2993·
 2000 09 5396.
 2000 10 17112·
 2000 11 80109·
 2000 12 87108·
 2001 01  17116.
 2001 02  67116.
 2001 03  46138.
 2001 04  694.
 2001 05  9391.
 2001 06  22101.
 2001 07  8163·
 2001 08  5593·
 2001 09  7980·
 2001 10  1483·
 2001 11  5065·
 2001 12  3086.
 2002 01 2106.
 2002 02 192·
 2002 03 4091·
 2002 04 4890.
 2002 05 1383·
 2002 06 6273·
 2002 07 6473·
 2002 08 5477·
 2002 09 8572.
 2002 10 684.
 2002 11 6187·
 2002 12 1864·
 2003 01  2149.
 2003 02  6382.
 2003 03  9277.
 2003 04  3382·
 2003 05  4589·
 2003 06  9169·
 2003 07  4661·
 2003 08  1967·
 2003 09  776·
 2003 10  7099.
 2003 11  3579.
 2003 12  19102·
 2004 01 8377.
 2004 02 9101.
 2004 03 9996·
 2004 04 362.
 2004 05 7466·
 2004 06 3788.
 2004 07 9852.
 2004 08 6585.
 2004 09 581·
 2004 10 1371·
 2004 11 2252·
 2004 12 2560.
 2005 01  2581·
 2005 02  17112.
 2005 03  8381·
 2005 04  2569·
 2005 05  1146·
 2005 06  5658·
 2005 07  2089·
 2005 08  3677.
 2005 09  6478·
 2005 10  6273·
 2005 11  9494.
 2005 12  5157·
 2006 01 751·
 2006 02 9251.
 2006 03 9460·
 2006 04 9061.
 2006 05 9267·
 2006 06 2674.
 2006 07 3375.
 2006 08 9773.
 2006 09 9571.
 2006 10 7290.
 2006 11 4982.
 2006 12 4172·
 2007 01  1582·
 2007 02  6292.
 2007 03  491·
 2007 04  1683·
 2007 05  7779·
 2007 06  52119·
 2007 07  87118·
 2007 08  4199.
 2007 09  3388.
 2007 10  2368.
 2007 11  1056.
 2007 12  6048.
 2008 01 5850.
 2008 02 8379·
 2008 03 1280.
 2008 04 43110·
 2008 05 52108·
 2008 06 6398·
 2008 07 54100.
 2008 08 8472.
 2008 09 4070·
 2008 10 1960.
 2008 11 2657·
 2008 12 147·
 2009 01  7325.
 2009 02  3436·
 2009 03  4043.
 2009 04  4045.
 2009 05  2751·
 2009 06  1376.
 2009 07  3364·
 2009 08  6860·
 2009 09  158·
 2009 10  8936.
 2009 11  6951·
 2009 12  8162.
 2010 01 2147·
 2010 02 1863·
 2010 03 3651.
 2010 04 9780.
 2010 05 3757·
 2010 06 8265.
 2010 07 4643.
 2010 08 6044·
 2010 09 2659·
 2010 10 8757.
 2010 11 3769·
 2010 12 4074.
 2011 01  8672.
 2011 02  6657·
 2011 03  7368.
 2011 04  3162.
 2011 05  4458·
 2011 06  7454·
 2011 07  4164·
 2011 08  5250.
 2011 09  5043·
 2011 10  9337.
 2011 11  5443.
 2011 12  4767.
 2012 01 8085.
 2012 02 3162.
 2012 03 5057·
 2012 04 8554·
 2012 05 3362·
 2012 06 1872·
 2012 07 9266·
 2012 08 6063·
 2012 09 3562.
 2012 10 1156.
 2012 11 6749·
 2012 12 9264.
 2013 01  3761.
 2013 02  9360·
 2013 03  8977·
 2013 04  2452·
 2013 05  1442.
 2013 06  6846.
 2013 07  9654.
 2013 08  2752·
 2013 09  6641.
 2013 10  7048·
 2013 11  5062.
 2013 12  9347·
 2014 01 1960·
 2014 02 5569.
 2014 03 3940.
 2014 04 4253.
 2014 05 2356·
 2014 06 537·
 2014 07 7746.
 2014 08 1841.
 2014 09 5347·
 2014 10 2541.
 2014 11 038·
 2014 12 9155.
 2015 01  1048.
 2015 02  4966.
 2015 03  7364·
 2015 04  5461·
 2015 05  2050·
 2015 06  3156.
 2015 07  8280·
 2015 08  2650·
 2015 09  3237.
 2015 10  5552.
 2015 11  4145·
 2015 12  5342·
 2016 01 2330.
 2016 02 2665.
 2016 03 8858·
 2016 04 249.
 2016 05 9169·
 2016 06 7757·
 2016 07 8567.
 2016 08 6975·


 2016 09 6459.
 2016 10 6453·
 2016 11 2047.
 2016 12 7158·
 2017 01  9135.
 2017 02  6832.
 2017 03  740.
 2017 04  5449·
 2017 05  4746·
 2017 06  9763.
 2017 07  8353·
 2017 08  8666.
 2017 09  3442·
 2017 10  8132·
 2017 11  1245·
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US Unemployment Rate: Alternative Measures of Labor Underutilization

Charts

Unemployment Rate and 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

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