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 Series Title: Employment Level: Nonagriculture, Unpaid Family Workers, Asian: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Yearly Chart  |  Excel file  |  Self-updating Excel file
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 2000 01 017·
 2000 02 6610·
 2000 03 5215·
 2000 04 8615.
 2000 05 196.
 2000 08 614·
 2000 09 36·
 2000 10 9525.
 2000 11 4826·
 2000 12 8918.
 2001 01  982.
 2001 02  4620·
 2001 03  386·
 2001 04  956.
 2001 05  516.
 2001 06  843·
 2001 07  643·
 2001 08  323.
 2001 09  08·
 2001 10  788·
 2001 11  2611·
 2001 12  3115·
 2002 01 65·
 2002 02 216·
 2002 03 504.
 2002 04 495.
 2002 05 595.
 2002 06 3414.
 2002 07 854.
 2002 08 671.
 2002 09 724·
 2002 10 596.
 2002 11 85.
 2002 12 925.
 2003 01  815.
 2003 02  675·
 2003 03  1916.
 2003 04  5611·
 2003 05  5019.
 2003 06  5119.
 2003 07  4322.
 2003 08  1520.
 2003 09  6720.
 2003 10  3116·
 2003 11  313.
 2003 12  521.
 2004 01 4418·
 2004 02 5110·
 2004 03 5812.
 2004 04 726·
 2004 05 204.
 2004 06 792·
 2004 07 2411·
 2004 08 713.
 2004 09 585.
 2004 10 106·
 2004 11 5513·
 2004 12 1419·
 2005 01  4423·
 2005 02  6415·
 2005 03  116.
 2005 04  7514.
 2005 05  9411·
 2005 06  838.
 2005 07  3713·
 2005 08  9623.
 2005 09  435·
 2005 10  387.
 2005 11  65
 2005 12  87·
 2006 01 556.
 2006 02 2311·
 2006 03 97·
 2006 04 6919.
 2006 05 1820.
 2006 06 5617.
 2006 07 2025·
 2006 08 6114.
 2006 09 4513·
 2006 10 8214.
 2006 11 7216·
 2006 12 8921·
 2007 01  7424.
 2007 02  7022·
 2007 03  6822·
 2007 04  8517·
 2007 05  6713.
 2007 06  1421.
 2007 07  3113·
 2007 08  611·
 2007 09  1325·
 2007 10  3339·
 2007 11  1235·
 2007 12  3431.
 2008 01 2423·
 2008 02 7215.
 2008 03 8711.
 2008 04 768.
 2008 05 3815·
 2008 06 9913.
 2008 07 576.
 2008 08 629.
 2008 09 196·
 2008 10 89·
 2008 11 459·
 2008 12 5011.
 2009 01  536·
 2009 02  20
 2009 03  48·
 2009 04  217·
 2009 05  543.
 2009 06  772·
 2009 07  80·
 2009 08  824·
 2009 09  6110·
 2009 10  5017·
 2009 11  5710.
 2009 12  6513·
 2010 01 3510·
 2010 02 329·
 2010 03 7714·
 2010 04 2627·
 2010 05 6419·
 2010 06 4224.
 2010 07 1923·
 2010 08 465·
 2010 09 629.
 2010 10 2423·
 2010 11 5820·
 2010 12 3318·
 2011 01  6716·
 2011 02  4926·
 2011 03  9427.
 2011 04  1815.
 2011 05  409·
 2011 06  912·
 2011 07  5212.
 2011 08  5812·
 2011 09  719.
 2011 10  247·
 2011 11  8410·
 2011 12  3422.
 2012 01 7227·
 2012 02 3821·
 2012 03 6320.
 2012 04 5318.
 2012 05 8110·
 2012 06 209·
 2012 07 92
 2012 08 474.
 2012 09 606.
 2012 10 647·
 2012 11 9514·
 2012 12 7215·
 2013 01  9915·
 2013 02  9012.
 2013 03  2211.
 2013 04  107.
 2013 05  98.
 2013 06  4214·
 2013 07  490.
 2013 08  6710·
 2013 09  28
 2013 10  884.
 2013 11  770·
 2013 12  767.
 2014 01 204.
 2014 02 234·
 2014 03 306.
 2014 04 9324·
 2014 05 7224·
 2014 06 6721·
 2014 07 5927·
 2014 08 9914.
 2014 09 989.
 2014 10 62
 2014 11 406.
 2014 12 14.
 2015 01  348·
 2015 02  79
 2015 03  7313·
 2015 04  3117·
 2015 05  457·
 2015 06  1116·
 2015 07  8313·
 2015 08  45
 2015 09  1711·
 2015 10  784·
 2015 11  2010·
 2015 12  2512·
 2016 01 648.
 2016 02 234.
 2016 03 610·
 2016 04 780.
 2016 05 235.
 2016 06 171.
 2016 07 513.
 2016 08 368.
 2016 09 583·
 2016 10 524·
 2016 11 785.
 2016 12 543.
 2017 01  577.
 2017 02  496.
 2017 03  317·
 2017 04  153.
 2017 05  32


 2017 06  514·
 2017 07  370.
 2017 08  250·
 2017 09  210.
 2017 10  270·
 2017 11  990.
 2017 12  16
 2018 01 87
 2018 02 726.
 2018 03 4215.
 2018 04 4520.
 2018 05 1818.
 2018 06 522·
 2018 07 154·
 2018 08 934.
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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, Asian: 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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