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 Series Title: Unemployment Rate: Nonagricultural Private Wage and Salary Workers, Textiles, Apparel, and Leather, Women: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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 2000 01 1610.8
 2000 02 655·8
 2000 03 07·8
 2000 04 306·4
 2000 05 895.2
 2000 06 112·4
 2000 07 334.9
 2000 08 249.8
 2000 09 299.7
 2000 10 5610·6
 2000 11 688·6
 2000 12 158.4
 2001 01  8610.0
 2001 02  819.8
 2001 03  168·8
 2001 04  5010·6
 2001 05  357.0
 2001 06  926.2
 2001 07  167·5
 2001 08  968.5
 2001 09  7611.0
 2001 10  2212·3
 2001 11  3012·2
 2001 12  4910·2
 2002 01 3512·0
 2002 02 2710.0
 2002 03 4711·2
 2002 04 2715.5
 2002 05 6313.7
 2002 06 8911.1
 2002 07 799·2
 2002 08 747·8
 2002 09 3410.2
 2002 10 1411.6
 2002 11 649·9
 2002 12 6010·0
 2003 01  499·3
 2003 02  3412·6
 2003 03  6613.7
 2003 04  789.9
 2003 05  349.6
 2003 06  510·7
 2003 07  717·7
 2003 08  4810·9
 2003 09  3913·0
 2003 10  1011·2
 2003 11  949·4
 2003 12  1411·5
 2004 01 398.8
 2004 02 557·4
 2004 03 717·9
 2004 04 4510.9
 2004 05 3412.3
 2004 06 7114.8
 2004 07 669·7
 2004 08 369·1
 2004 09 518.2
 2004 10 1510·1
 2004 11 679.1
 2004 12 49.7
 2005 01  397·5
 2005 02  697.3
 2005 03  8611·2
 2005 04  968·9
 2005 05  7312.6
 2005 06  4010.7
 2005 07  6111.9
 2005 08  789·1
 2005 09  557·9
 2005 10  587.8
 2005 11  568.3
 2005 12  479·7
 2006 01 109·5
 2006 02 829·8
 2006 03 5810·2
 2006 04 219·2
 2006 05 878.8
 2006 06 914·7
 2006 07 804·3
 2006 08 432.7
 2006 09 638.0
 2006 10 948·2
 2006 11 604.6
 2006 12 848·0
 2007 01  384·4
 2007 02  219·4
 2007 03  6111·5
 2007 04  3712.2
 2007 05  379·8
 2007 06  304.4
 2007 07  705·9
 2007 08  216·1
 2007 09  106.2
 2007 10  28·4
 2007 11  17.2
 2007 12  825·5
 2008 01 3313·6
 2008 02 4312·0
 2008 03 9214.0
 2008 04 878·0
 2008 05 78·5
 2008 06 858.6
 2008 07 55.0
 2008 08 307·9
 2008 09 5613·2
 2008 10 8516.2
 2008 11 288.3
 2008 12 3214.1
 2009 01  3219.8
 2009 02  2515.5
 2009 03  7526·5
 2009 04  3621·3
 2009 05  923.3
 2009 06  1116.9
 2009 07  8217·1
 2009 08  1210.7
 2009 09  8810·9
 2009 10  7412.5
 2009 11  1411·3
 2009 12  5311·1
 2010 01 9412.6
 2010 02 7214.4
 2010 03 5719·5
 2010 04 7814·8
 2010 05 7715.6
 2010 06 8612·7
 2010 07 259.6
 2010 08 3215.4
 2010 09 147.7
 2010 10 2315·9
 2010 11 5618.5
 2010 12 8418.0
 2011 01  416·5
 2011 02  1414.2
 2011 03  127·6
 2011 04  2810·0
 2011 05  7415.8
 2011 06  1611.1
 2011 07  8113.3
 2011 08  8412.7
 2011 09  729·4
 2011 10  108.7
 2011 11  778·2
 2011 12  948·6
 2012 01 7514.1
 2012 02 412.2


 2012 03 378·9
 2012 04 2912·3
 2012 05 838.4
 2012 06 298·8
 2012 07 2511.6
 2012 08 8310·7
 2012 09 2113·5
 2012 10 4114·2
 2012 11 2711·9
 2012 12 7413.2
 2013 01  4019·5
 2013 02  2211.5
 2013 03  5712·4
 2013 04  4711.7
 2013 05  166·2
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US Unemployment Rate: Alternative Measures of Labor Underutilization

Charts

Unemployment Rate: US Unemployment Rate: 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 Rate: Nonagricultural Private Wage and Salary Workers, Textiles, Apparel, and Leather, 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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