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 Series Title: Unemployment Level: Looking For Part-Time Work, 25 years and over, Asian Women: NSA
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 2000 01 93
 2000 02 615·
 2000 03 1012·
 2000 04 7823·
 2000 05 3217·
 2000 06 3623·
 2000 07 6111.
 2000 08 37·
 2000 09 426.
 2000 10 166.
 2000 11 196.
 2000 12 337.
 2001 01  765.
 2001 02  825.
 2001 03  977.
 2001 04  129·
 2001 05  810·
 2001 06  4122·
 2001 07  3320·
 2001 08  928.
 2001 09  398.
 2001 10  2422.
 2001 11  908.
 2001 12  1817.
 2002 01 9412·
 2002 02 8911·
 2002 03 567·
 2002 04 594.
 2002 05 2414.
 2002 06 1712.
 2002 07 4312·
 2002 08 7515.
 2002 09 422·
 2002 10 1416·
 2002 11 9021·
 2002 12 363.
 2003 01  339.
 2003 02  137.
 2003 03  5915·
 2003 04  369.
 2003 05  3916.
 2003 06  6911·
 2003 07  3910.
 2003 08  947.
 2003 09  718·
 2003 10  6511·
 2003 11  4117·
 2003 12  5516·
 2004 01 416.
 2004 02 712·
 2004 03 57·
 2004 04 8614.
 2004 05 39
 2004 06 276.
 2004 07 9310.
 2004 08 834.
 2004 09 111·
 2004 10 8110.
 2004 11 9319·
 2004 12 65
 2005 01  4118·
 2005 02  5129·
 2005 03  1719·
 2005 04  7611.
 2005 05  3430.
 2005 06  4413.
 2005 07  420.
 2005 08  8422.
 2005 09  8120·
 2005 10  9117·
 2005 11  1619·
 2005 12  8418·
 2006 01 611.
 2006 02 5014.
 2006 03 4218.
 2006 04 9610·
 2006 05 6116·
 2006 06 121·
 2006 07 946.
 2006 08 635.
 2006 09 208·
 2006 10 519·
 2006 11 117.
 2006 12 549.
 2007 01  848·
 2007 02  3211.
 2007 03  548.
 2007 04  6420·
 2007 05  797.
 2007 06  04.
 2007 07  1221·
 2007 08  1119.
 2007 09  5413·
 2007 10  389.
 2007 11  9912.
 2007 12  4120.
 2008 01 869·
 2008 02 5117·
 2008 03 5126·
 2008 04 2119·
 2008 05 7410.
 2008 06 7216·
 2008 07 318·
 2008 08 4727.
 2008 09 4415·
 2008 10 5721·
 2008 11 2811·
 2008 12 366·
 2009 01  468·
 2009 02  8818·
 2009 03  5516·
 2009 04  3514·
 2009 05  5715.
 2009 06  7117·
 2009 07  4916.
 2009 08  118.
 2009 09  7531·
 2009 10  3823·
 2009 11  7323.
 2009 12  5821·
 2010 01 2715.
 2010 02 463·
 2010 03 1519.
 2010 04 9714·
 2010 05 6327·
 2010 06 768.
 2010 07 8914.
 2010 08 7014·
 2010 09 5822.
 2010 10 3510.
 2010 11 3110·
 2010 12 4715·
 2011 01  1313.
 2011 02  5530.
 2011 03  536·
 2011 04  2334·
 2011 05  5320.
 2011 06  918.
 2011 07  9831.
 2011 08  1715.
 2011 09  2837·
 2011 10  279·
 2011 11  2417.
 2011 12  7116.
 2012 01 1414·
 2012 02 683·
 2012 03 2121·
 2012 04 5713.
 2012 05 127.
 2012 06 4718.
 2012 07 5012.
 2012 08 6710·
 2012 09 4614·
 2012 10 1910.
 2012 11 224·
 2012 12 2127·
 2013 01  6716.
 2013 02  6617.
 2013 03  8714·
 2013 04  6418.
 2013 05  518·
 2013 06  9619·
 2013 07  4418·
 2013 08  6316.
 2013 09  9718.
 2013 10  3912·
 2013 11  3621·
 2013 12  1515·
 2014 01 3217.
 2014 02 5318.
 2014 03 5117.
 2014 04 3613·
 2014 05 521·
 2014 06 1811·
 2014 07 120·
 2014 08 7218.
 2014 09 9214.
 2014 10 4220.
 2014 11 264.
 2014 12 928.
 2015 01  947.
 2015 02  577.
 2015 03  8620.
 2015 04  917·
 2015 05  3517.
 2015 06  1813·
 2015 07  7129·
 2015 08  8622.
 2015 09  6730.
 2015 10  823.
 2015 11  9329.
 2015 12  2243.
 2016 01 6434·
 2016 02 3321·
 2016 03 9046.
 2016 04 6922.
 2016 05 272.
 2016 06 2517·
 2016 07 2614.
 2016 08 2034·
 2016 09 8233.
 2016 10 415·
 2016 11 8718·
 2016 12 955.
 2017 01  7826·
 2017 02  619.
 2017 03  879.
 2017 04  3820·
 2017 05  9119.
 2017 06  9413.


 2017 07  6425·
 2017 08  1813.
 2017 09  2210·
 2017 10  6923·
 2017 11  8024.
 2017 12  287.
 2018 01 9614·
 2018 02 4512.
 2018 03 248·
 2018 04 8914·
 2018 05 6319·
 2018 06 226·
 2018 07 87.
 2018 08 4524.
 2018 09 9818.
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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: Unemployment Level: Looking For Part-Time Work, 25 years and over, Asian Women: 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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