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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 01 985·
 2000 02 645.
 2000 03 9812·
 2000 04 7623.
 2000 05 117.
 2000 06 7623.
 2000 07 711·
 2000 08 31
 2000 09 646·
 2000 10 79
 2000 11 116.
 2000 12 797·
 2001 01  37
 2001 02  575·
 2001 03  237.
 2001 04  639.
 2001 05  9710.
 2001 06  1522.
 2001 07  8020·
 2001 08  5328·
 2001 09  428.
 2001 10  8522·
 2001 11  468·
 2001 12  4217·
 2002 01 9912.
 2002 02 2411·
 2002 03 77.
 2002 04 514.
 2002 05 1914.
 2002 06 1312.
 2002 07 7812·
 2002 08 2215.
 2002 09 7522·
 2002 10 6016·
 2002 11 9621.
 2002 12 263.
 2003 01  709.
 2003 02  957·
 2003 03  2315·
 2003 04  579.
 2003 05  2716·
 2003 06  7511.
 2003 07  4910·
 2003 08  337.
 2003 09  998.
 2003 10  8311·
 2003 11  8517.
 2003 12  9816.
 2004 01 5916.
 2004 02 2412.
 2004 03 697·
 2004 04 2314.
 2004 05 9
 2004 06 306·
 2004 07 6610·
 2004 08 04.
 2004 09 7311.
 2004 10 5810.
 2004 11 6119·
 2004 12 498·
 2005 01  318·
 2005 02  9029.
 2005 03  6919.
 2005 04  1511·
 2005 05  7330·
 2005 06  3213.
 2005 07  2620·
 2005 08  6622.
 2005 09  8420·
 2005 10  1517.
 2005 11  9719·
 2005 12  9718.
 2006 01 6211·
 2006 02 9814·
 2006 03 6918.
 2006 04 2610·
 2006 05 5616.
 2006 06 6021.
 2006 07 556.
 2006 08 985.
 2006 09 428.
 2006 10 99.
 2006 11 927.
 2006 12 829.
 2007 01  218·
 2007 02  7711·
 2007 03  448·
 2007 04  7220·
 2007 05  18
 2007 06  194·
 2007 07  9821·
 2007 08  8819.
 2007 09  8313·
 2007 10  189·
 2007 11  6812·
 2007 12  7220·
 2008 01 929·
 2008 02 8117·
 2008 03 9126·
 2008 04 9519·
 2008 05 4510·
 2008 06 3816.
 2008 07 30
 2008 08 5127.
 2008 09 6715·
 2008 10 4721·
 2008 11 7311.
 2008 12 596.
 2009 01  98·
 2009 02  9018.
 2009 03  3316.
 2009 04  6214.
 2009 05  4615.
 2009 06  7217·
 2009 07  4816.
 2009 08  318·
 2009 09  7931·
 2009 10  2523.
 2009 11  8023·
 2009 12  5921.
 2010 01 3315·
 2010 02 73.
 2010 03 1819.
 2010 04 6514.
 2010 05 5927.
 2010 06 998·
 2010 07 7514·
 2010 08 9414·
 2010 09 3122·
 2010 10 710·
 2010 11 8810.
 2010 12 1415·
 2011 01  5113.
 2011 02  6330·
 2011 03  2036.
 2011 04  2034·
 2011 05  4320·
 2011 06  248.
 2011 07  6031.
 2011 08  3115.
 2011 09  5837.
 2011 10  719.
 2011 11  1917.
 2011 12  9116·
 2012 01 7114.
 2012 02 11
 2012 03 3621·
 2012 04 7013.
 2012 05 83
 2012 06 7618.
 2012 07 7512.
 2012 08 6010.
 2012 09 1914.
 2012 10 2210·
 2012 11 2224·
 2012 12 8227·
 2013 01  3016·
 2013 02  3117.
 2013 03  9014.
 2013 04  8018·
 2013 05  918.
 2013 06  1019.
 2013 07  1818.
 2013 08  2216·
 2013 09  218.
 2013 10  9012·
 2013 11  6921.
 2013 12  415.
 2014 01 8917.
 2014 02 2718.
 2014 03 3017·
 2014 04 4313·
 2014 05 221·
 2014 06 411.
 2014 07 1320.
 2014 08 8518.
 2014 09 1614·
 2014 10 2820.
 2014 11 584·
 2014 12 978·
 2015 01  337·
 2015 02  297.
 2015 03  2720·
 2015 04  767.
 2015 05  7617·
 2015 06  6413.
 2015 07  829.
 2015 08  3922·
 2015 09  9830·
 2015 10  1623·
 2015 11  1429.
 2015 12  3043.
 2016 01 7234·
 2016 02 9021.
 2016 03 8246·
 2016 04 2022.
 2016 05 02.
 2016 06 1817·
 2016 07 7614.
 2016 08 234·
 2016 09 633.
 2016 10 585.
 2016 11 8318.
 2016 12 94
 2017 01  4226.
 2017 02  909·
 2017 03  169.
 2017 04  4220.
 2017 05  8219.
 2017 06  2113.
 2017 07  1425.
 2017 08  1513.
 2017 09  2810.


 2017 10  8323·
 2017 11  3824.
 2017 12  67.
 2018 01 414·
 2018 02 3312.
 2018 03 788.
 2018 04 3514.
 2018 05 6019.
 2018 06 5226·
 2018 07 467·
 2018 08 4524.
 2018 09 7318.
 2018 10 4727.
 2018 11 7926.
 2018 12 710.
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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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