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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 3217.
 2000 02 3110·
 2000 03 215·
 2000 04 6115·
 2000 05 486.
 2000 08 214.
 2000 09 69
 2000 10 2025·
 2000 11 1126·
 2000 12 5318·
 2001 01  172.
 2001 02  5920·
 2001 03  736.
 2001 04  666.
 2001 05  606·
 2001 06  22
 2001 07  83.
 2001 08  46
 2001 09  37
 2001 10  788.
 2001 11  1611·
 2001 12  2615.
 2002 01 95·
 2002 02 216.
 2002 03 244.
 2002 04 625·
 2002 05 655.
 2002 06 7114.
 2002 07 814.
 2002 08 371·
 2002 09 184·
 2002 10 716.
 2002 11 645·
 2002 12 56
 2003 01  55·
 2003 02  915·
 2003 03  7116·
 2003 04  5111.
 2003 05  8919·
 2003 06  2519.
 2003 07  2922.
 2003 08  7820.
 2003 09  5920.
 2003 10  9316·
 2003 11  893.
 2003 12  211·
 2004 01 2718.
 2004 02 3710·
 2004 03 2512·
 2004 04 846·
 2004 05 31
 2004 06 272.
 2004 07 3811·
 2004 08 113·
 2004 09 345·
 2004 10 596.
 2004 11 5313·
 2004 12 2619·
 2005 01  2323.
 2005 02  4915·
 2005 03  2016.
 2005 04  4314.
 2005 05  1311.
 2005 06  448.
 2005 07  1613.
 2005 08  5723.
 2005 09  405·
 2005 10  117.
 2005 11  408·
 2005 12  17·
 2006 01 686.
 2006 02 4511·
 2006 03 197·
 2006 04 3119.
 2006 05 8420.
 2006 06 6617·
 2006 07 125·
 2006 08 2814·
 2006 09 113.
 2006 10 1614.
 2006 11 6316.
 2006 12 021.
 2007 01  5824.
 2007 02  6722.
 2007 03  522.
 2007 04  7717·
 2007 05  1713.
 2007 06  1021·
 2007 07  5213.
 2007 08  1711.
 2007 09  6525.
 2007 10  6739·
 2007 11  5535·
 2007 12  131.
 2008 01 1723.
 2008 02 8015.
 2008 03 9011·
 2008 04 36
 2008 05 915.
 2008 06 2013.
 2008 07 55
 2008 08 539·
 2008 09 5
 2008 10 79
 2008 11 789.
 2008 12 1011·
 2009 01  926·
 2009 02  783·
 2009 03  88·
 2009 04  877·
 2009 05  843.
 2009 06  602.
 2009 07  210.
 2009 08  924.
 2009 09  1810·
 2009 10  9517.
 2009 11  1810·
 2009 12  5513·
 2010 01 5810·
 2010 02 779·
 2010 03 2214.
 2010 04 3527.
 2010 05 9019.
 2010 06 2424.
 2010 07 8623.
 2010 08 115.
 2010 09 29
 2010 10 8223·
 2010 11 8420.
 2010 12 9218.
 2011 01  1116·
 2011 02  1826.
 2011 03  1627.
 2011 04  815·
 2011 05  09.
 2011 06  2812·
 2011 07  912·
 2011 08  1612·
 2011 09  849.
 2011 10  307.
 2011 11  1210·
 2011 12  9822.
 2012 01 7527.
 2012 02 6921.
 2012 03 120·
 2012 04 6118.
 2012 05 1210·
 2012 06 139·
 2012 07 765.
 2012 08 36
 2012 09 576.
 2012 10 587·
 2012 11 6314.
 2012 12 7915·
 2013 01  9815·
 2013 02  2112·
 2013 03  1211·
 2013 04  737.
 2013 05  498·
 2013 06  4714.
 2013 07  980.
 2013 08  2410·
 2013 09  460.
 2013 10  64.
 2013 11  220·
 2013 12  647·
 2014 01 534.
 2014 02 914.
 2014 03 106·
 2014 04 4924.
 2014 05 5824.
 2014 06 2221·
 2014 07 1127·
 2014 08 6114.
 2014 09 749.
 2014 10 42
 2014 11 1
 2014 12 74.
 2015 01  39
 2015 02  211·
 2015 03  8013.
 2015 04  1817·
 2015 05  147·
 2015 06  5316.
 2015 07  7413.
 2015 08  511.
 2015 09  8911·
 2015 10  574.
 2015 11  3410.
 2015 12  8712.
 2016 01 778.
 2016 02 784·
 2016 03 34
 2016 04 340.
 2016 05 145.
 2016 06 831·
 2016 07 7413.
 2016 08 228.


 2016 09 653.
 2016 10 694.
 2016 11 825.
 2016 12 93·
 2017 01  167.
 2017 02  536.
 2017 03  67.
 2017 04  763.
 2017 05  821.
 2017 06  794.
 2017 07  220.
 2017 08  300.
 2017 09  98
 2017 10  180·
 2017 11  300.
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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
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