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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 1617·
 2000 02 2610.
 2000 03 7015.
 2000 04 6815·
 2000 05 686.
 2000 08 1614.
 2000 09 626.
 2000 10 8725.
 2000 11 4926·
 2000 12 6718·
 2001 01  19
 2001 02  6620.
 2001 03  96·
 2001 04  616·
 2001 05  516.
 2001 06  513.
 2001 07  243.
 2001 08  43.
 2001 09  988·
 2001 10  108.
 2001 11  9311·
 2001 12  2815.
 2002 01 225.
 2002 02 386·
 2002 03 434.
 2002 04 895·
 2002 05 115·
 2002 06 5314.
 2002 07 244.
 2002 08 70
 2002 09 784·
 2002 10 16·
 2002 11 115.
 2002 12 775.
 2003 01  605.
 2003 02  495.
 2003 03  516·
 2003 04  4011.
 2003 05  2119.
 2003 06  9319.
 2003 07  3122·
 2003 08  1820·
 2003 09  4920.
 2003 10  5116.
 2003 11  383.
 2003 12  921·
 2004 01 5618·
 2004 02 6710·
 2004 03 412.
 2004 04 686·
 2004 05 804.
 2004 06 11
 2004 07 2811·
 2004 08 7813·
 2004 09 855·
 2004 10 766.
 2004 11 3513·
 2004 12 7919·
 2005 01  5823.
 2005 02  8315.
 2005 03  7716·
 2005 04  5214·
 2005 05  1111·
 2005 06  74
 2005 07  2713.
 2005 08  423·
 2005 09  845.
 2005 10  197.
 2005 11  87
 2005 12  677.
 2006 01 386.
 2006 02 1311·
 2006 03 83
 2006 04 9619.
 2006 05 6220·
 2006 06 7417.
 2006 07 6425.
 2006 08 7514.
 2006 09 6913·
 2006 10 4714.
 2006 11 516·
 2006 12 921.
 2007 01  9624·
 2007 02  122·
 2007 03  822·
 2007 04  3117.
 2007 05  613·
 2007 06  2921·
 2007 07  9813.
 2007 08  9611.
 2007 09  8825.
 2007 10  5139·
 2007 11  2535.
 2007 12  8631·
 2008 01 5323·
 2008 02 1115.
 2008 03 6411.
 2008 04 98.
 2008 05 4115·
 2008 06 7913.
 2008 07 166.
 2008 08 959·
 2008 09 146·
 2008 10 489.
 2008 11 69.
 2008 12 111.
 2009 01  596.
 2009 02  383·
 2009 03  858.
 2009 04  107·
 2009 05  903.
 2009 06  922.
 2009 07  270.
 2009 08  274·
 2009 09  4510.
 2009 10  8017.
 2009 11  3410·
 2009 12  8513.
 2010 01 8610.
 2010 02 969.
 2010 03 3114·
 2010 04 3927·
 2010 05 119.
 2010 06 5924.
 2010 07 6823·
 2010 08 725.
 2010 09 49.
 2010 10 1423·
 2010 11 2120.
 2010 12 9018.
 2011 01  3116.
 2011 02  2826.
 2011 03  9027.
 2011 04  2515.
 2011 05  479·
 2011 06  9812·
 2011 07  012·
 2011 08  3312·
 2011 09  399·
 2011 10  417.
 2011 11  110·
 2011 12  9722.
 2012 01 1927·
 2012 02 121.
 2012 03 7020.
 2012 04 2218.
 2012 05 2610.
 2012 06 499.
 2012 07 65.
 2012 08 414.
 2012 09 23
 2012 10 787·
 2012 11 3514.
 2012 12 1015.
 2013 01  9715·
 2013 02  712·
 2013 03  811.
 2013 04  107·
 2013 05  628.
 2013 06  8014·
 2013 07  990.
 2013 08  4910.
 2013 09  550·
 2013 10  67
 2013 11  90·
 2013 12  577·
 2014 01 394.
 2014 02 614.
 2014 03 646.
 2014 04 9224.
 2014 05 224·
 2014 06 8321·
 2014 07 1427·
 2014 08 3614.
 2014 09 579.
 2014 10 757.
 2014 11 336.
 2014 12 944·
 2015 01  418.
 2015 02  7
 2015 03  2413·
 2015 04  9917·
 2015 05  197.
 2015 06  7416·
 2015 07  1013.
 2015 08  7
 2015 09  7711·
 2015 10  944·
 2015 11  4310·
 2015 12  012.
 2016 01 288·
 2016 02 114·
 2016 03 980·
 2016 04 840.
 2016 05 11
 2016 06 951·
 2016 07 7513·
 2016 08 918.
 2016 09 893·
 2016 10 404·
 2016 11 995·
 2016 12 783.
 2017 01  487·
 2017 02  64


 2017 03  227·
 2017 04  273.
 2017 05  21·
 2017 06  134·
 2017 07  170·
 2017 08  430·
 2017 09  900·
 2017 10  550.
 2017 11  870.
 2017 12  590·
 2018 01 733.
 2018 02 846.
 2018 03 5615.
 2018 04 3120.
 2018 05 4018·
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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

Unemployment data for every county in the U.S..
Click for Illinois counties, then follow the example for your state

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