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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 01 305·
 2000 02 395.
 2000 03 4712·
 2000 04 6323.
 2000 05 1917·
 2000 06 5123.
 2000 07 9611·
 2000 08 227·
 2000 09 756.
 2000 10 62
 2000 11 466.
 2000 12 797·
 2001 01  47
 2001 02  525.
 2001 03  107·
 2001 04  799.
 2001 05  1210·
 2001 06  2922.
 2001 07  2520.
 2001 08  9128·
 2001 09  698·
 2001 10  2522.
 2001 11  558.
 2001 12  1017.
 2002 01 4412·
 2002 02 9611.
 2002 03 887·
 2002 04 534·
 2002 05 8714·
 2002 06 2312.
 2002 07 3512·
 2002 08 6615.
 2002 09 7422.
 2002 10 1316.
 2002 11 3721·
 2002 12 173·
 2003 01  59·
 2003 02  997.
 2003 03  5415·
 2003 04  19.
 2003 05  516·
 2003 06  3611.
 2003 07  7510·
 2003 08  377.
 2003 09  258.
 2003 10  711.
 2003 11  1317.
 2003 12  6916.
 2004 01 4116.
 2004 02 1712·
 2004 03 67.
 2004 04 6514·
 2004 05 524.
 2004 06 996.
 2004 07 1710·
 2004 08 214·
 2004 09 8411·
 2004 10 910.
 2004 11 3319·
 2004 12 568·
 2005 01  8818.
 2005 02  2829.
 2005 03  6819.
 2005 04  1211.
 2005 05  3830.
 2005 06  6413.
 2005 07  5920.
 2005 08  6122.
 2005 09  3620.
 2005 10  4917.
 2005 11  6919·
 2005 12  9518·
 2006 01 611.
 2006 02 3814·
 2006 03 8718·
 2006 04 3410.
 2006 05 9916.
 2006 06 1321.
 2006 07 246·
 2006 08 225·
 2006 09 908·
 2006 10 819.
 2006 11 207.
 2006 12 299.
 2007 01  818.
 2007 02  7411.
 2007 03  368.
 2007 04  4820.
 2007 05  957.
 2007 06  494·
 2007 07  6121.
 2007 08  9819.
 2007 09  8413.
 2007 10  869.
 2007 11  812·
 2007 12  2320.
 2008 01 239.
 2008 02 9217.
 2008 03 1426.
 2008 04 9419.
 2008 05 1210.
 2008 06 016·
 2008 07 438·
 2008 08 427·
 2008 09 7715·
 2008 10 6621·
 2008 11 8211·
 2008 12 716.
 2009 01  688·
 2009 02  7118·
 2009 03  4416·
 2009 04  4114·
 2009 05  6115.
 2009 06  2317·
 2009 07  6716·
 2009 08  82
 2009 09  5531.
 2009 10  5223·
 2009 11  1423.
 2009 12  8821.
 2010 01 7715.
 2010 02 153.
 2010 03 7319·
 2010 04 7914·
 2010 05 7627.
 2010 06 95
 2010 07 5714.
 2010 08 9914.
 2010 09 2922.
 2010 10 9710.
 2010 11 310.
 2010 12 1715·
 2011 01  3513·
 2011 02  5430·
 2011 03  7536.
 2011 04  2634.
 2011 05  1920.
 2011 06  228.
 2011 07  6031.
 2011 08  4715.
 2011 09  3337.
 2011 10  829.
 2011 11  7117.
 2011 12  2316·
 2012 01 5214·
 2012 02 413·
 2012 03 4721.
 2012 04 2413·
 2012 05 757.
 2012 06 3118.
 2012 07 5012·
 2012 08 4310.
 2012 09 2914.
 2012 10 910·
 2012 11 6824·
 2012 12 027·
 2013 01  6416.
 2013 02  5617.
 2013 03  1314·
 2013 04  3918·
 2013 05  558.
 2013 06  7919·
 2013 07  2518·
 2013 08  2916.
 2013 09  318·
 2013 10  912.
 2013 11  6521.
 2013 12  6415·
 2014 01 3217·
 2014 02 418.
 2014 03 2117·
 2014 04 6313.
 2014 05 9421.
 2014 06 4411.
 2014 07 720.
 2014 08 7118.
 2014 09 6414·
 2014 10 3620.
 2014 11 614.
 2014 12 568.
 2015 01  417·
 2015 02  137·
 2015 03  4420·
 2015 04  13
 2015 05  5317.
 2015 06  3013.
 2015 07  4629·
 2015 08  6122·
 2015 09  4830.
 2015 10  7023·
 2015 11  7829.
 2015 12  4343·
 2016 01 234.
 2016 02 3821·
 2016 03 8046.
 2016 04 3022·
 2016 05 162.
 2016 06 6717·
 2016 07 1314·
 2016 08 1534·
 2016 09 1633·
 2016 10 135·
 2016 11 6618·
 2016 12 185·
 2017 01  5126·


 2017 02  589.
 2017 03  519.
 2017 04  8220.
 2017 05  9619.
 2017 06  913.
 2017 07  725.
 2017 08  7713.
 2017 09  5310.
 2017 10  9623·
 2017 11  9724.
 2017 12  977·
 2018 01 4714.
 2018 02 7812·
 2018 03 78.
 2018 04 6014·
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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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