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 Series Title: Not in Labor Force, Hispanic or Latino 25-54 years, Women: NSA
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 2012 04 23421.
 2012 03 03384.
 2012 02 423387.
 2012 01 993430.
 2011 12  653179.
 2011 11  403158.
 2011 10  223167·
 2011 09  413233.
 2011 08  83194·
 2011 07  903332.
 2011 06  153260·
 2011 05  953269.
 2011 04  803165.
 2011 03  333299·
 2011 02  343386·
 2011 01  43215·
 2010 12 563164·
 2010 11 753029.
 2010 10 183054·
 2010 09 373079.
 2010 08 373147.
 2010 07 483240.
 2010 06 283157·
 2010 05 893103·
 2010 04 493098.
 2010 03 93031.
 2010 02 543064·
 2010 01 793009.
 2009 12  423169·
 2009 11  393101·
 2009 10  73169.
 2009 09  503209.
 2009 08  913273.
 2009 07  453173·
 2009 06  273210·
 2009 05  733156·
 2009 04  963041.
 2009 03  583040.
 2009 02  743092·
 2009 01  413123.
 2008 12 833167·
 2008 11 353213.
 2008 10 393163.
 2008 09 733129.
 2008 08 33118.
 2008 07 583170·
 2008 06 333102.
 2008 05 132985.
 2008 04 303056.
 2008 03 333178·
 2008 02 943129·
 2008 01 313165.
 2007 12  663117.
 2007 11  933069·
 2007 10  853088.
 2007 09  213020·
 2007 08  352953.
 2007 07  923020·
 2007 06  943073·
 2007 05  23043.
 2007 04  883057·
 2007 03  153101·
 2007 02  353077·
 2007 01  173083.
 2006 12 03031·
 2006 11 663052·
 2006 10 442995·
 2006 09 372972.
 2006 08 723020.
 2006 07 783036·
 2006 06 852947·
 2006 05 552994·
 2006 04 292963·
 2006 03 73032·
 2006 02 462964.
 2006 01 913037·
 2005 12  223011·
 2005 11  352989·
 2005 10  392999·
 2005 09  883010.
 2005 08  252946·
 2005 07  682939·
 2005 06  33005·
 2005 05  152974.
 2005 04  402988·
 2005 03  383013·
 2005 02  02980·
 2005 01  682988.
 2004 12 912917·
 2004 11 32929.
 2004 10 182812·
 2004 09 642793.
 2004 08 302824.
 2004 07 422849·
 2004 06 712753.
 2004 05 492787·
 2004 04 312784.
 2004 03 642750.
 2004 02 952900·
 2004 01 912872·
 2003 12  943041.
 2003 11  02971·
 2003 10  542946·
 2003 09  842949.
 2003 08  462967·
 2003 07  62972·
 2003 06  362874.
 2003 05  482862·
 2003 04  362748·
 2003 03  632723·
 2003 02  542719·
 2003 01  262734.
 2002 12 412690.
 2002 11 802710.
 2002 10 452638.
 2002 09 882564.
 2002 08 602622.
 2002 07 862581·
 2002 06 732613·
 2002 05 292568·
 2002 04 182410.
 2002 03 402474·
 2002 02 252377·
 2002 01 662410.
 2001 12  672390·
 2001 11  222402·
 2001 10  142408·
 2001 09  452493·
 2001 08  822441.
 2001 07  392551.
 2001 06  792502·
 2001 05  342382·
 2001 04  622409·
 2001 03  242291·
 2001 02  812324.
 2001 01  272361·
 2000 12 332310·
 2000 11 312169·
 2000 10 102229·
 2000 09 442219.
 2000 08 472351·
 2000 07 442458.
 2000 06 772374.
 2000 05 292372·
 2000 04 772402.
 2000 03 682318.
 2000 02 212391·
 2000 01 512318.
 1999 12  252283·
 1999 11  362174.
 1999 10  42166.
 1999 09  42186.
 1999 08  162200.
 1999 07  42304·
 1999 06  152152.
 1999 05  72278.
 1999 04  02303.
 1999 03  542200·
 1999 02  672222.
 1999 01  52207·
 1998 12 532127·
 1998 11 922216·
 1998 10 962090.
 1998 09 662056.
 1998 08 752147.
 1998 07 492127.
 1998 06 672078.
 1998 05 852129·
 1998 04 922144.
 1998 03 842115·
 1998 02 662144·
 1998 01 802208.
 1997 12  532096.
 1997 11  772138·
 1997 10  82063.
 1997 09  971993.
 1997 08  342006·
 1997 07  342013.
 1997 06  302079·
 1997 05  32082.
 1997 04  372207·
 1997 03  882081.
 1997 02  942080.
 1997 01  941996·
 1996 12 852044·
 1996 11 951951·
 1996 10 892011.
 1996 09 882101·
 1996 08 292053.
 1996 07 372135.
 1996 06 272179·
 1996 05 302099.
 1996 04 462103·
 1996 03 212032.
 1996 02 462048·
 1996 01 882055.
 1995 12  342023·
 1995 11  771971.
 1995 10  101949·
 1995 09  571992·
 1995 08  212050.
 1995 07  642079·
 1995 06  62081·
 1995 05  562116.
 1995 04  552092.
 1995 03  612103.
 1995 02  482121·
 1995 01  292163·
 1994 12 122052·
 1994 11 771990.
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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: Not in Labor Force, Hispanic or Latino 25-54 years, 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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