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 Series Title: Population Level: 45-54 years, Hispanic or Latino Women: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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 2012 04 322916·
 2012 03 62900.
 2012 02 932892.
 2012 01 222866.
 2011 12  442713·
 2011 11  132699.
 2011 10  862712.
 2011 09  482719·
 2011 08  652711·
 2011 07  632706.
 2011 06  242703.
 2011 05  162714·
 2011 04  472691.
 2011 03  372674·
 2011 02  192668.
 2011 01  722647·
 2010 12 652649.
 2010 11 412634.
 2010 10 102637.
 2010 09 832633·
 2010 08 202620·
 2010 07 72613·
 2010 06 592611.
 2010 05 432607·
 2010 04 352599.
 2010 03 922588·
 2010 02 542568·
 2010 01 732563.
 2009 12  632595·
 2009 11  772585·
 2009 10  82567.
 2009 09  162567·
 2009 08  782568.
 2009 07  702557·
 2009 06  592548.
 2009 05  412533·
 2009 04  822530·
 2009 03  12511.
 2009 02  712489·
 2009 01  422486.
 2008 12 982496.
 2008 11 272488·
 2008 10 302470.
 2008 09 392452·
 2008 08 782452.
 2008 07 312427·
 2008 06 492419·
 2008 05 762410·
 2008 04 972407·
 2008 03 182406·
 2008 02 682397.
 2008 01 212395.
 2007 12  552409·
 2007 11  202392.
 2007 10  472391·
 2007 09  702360·
 2007 08  782335.
 2007 07  952320·
 2007 06  762320.
 2007 05  402320.
 2007 04  162311·
 2007 03  222300.
 2007 02  682293.
 2007 01  772278·
 2006 12 452275.
 2006 11 112260.
 2006 10 592255·
 2006 09 492237.
 2006 08 652237·
 2006 07 902216.
 2006 06 132214.
 2006 05 512205.
 2006 04 12180·
 2006 03 192177·
 2006 02 192161.
 2006 01 12161.
 2005 12  42164·
 2005 11  772154·
 2005 10  882139.
 2005 09  452133.
 2005 08  492127.
 2005 07  722114.
 2005 06  592100·
 2005 05  502091.
 2005 04  362067.
 2005 03  362053.
 2005 02  942048·
 2005 01  112040·
 2004 12 912043·
 2004 11 242036·
 2004 10 822029·
 2004 09 472015.
 2004 08 652009.
 2004 07 202008.
 2004 06 351981·
 2004 05 31977.
 2004 04 321977.
 2004 03 281966.
 2004 02 921966·
 2004 01 471956·
 2003 12  941992·
 2003 11  821986.
 2003 10  141973·
 2003 09  741970·
 2003 08  751949.
 2003 07  371932.
 2003 06  911919·
 2003 05  31914·
 2003 04  251905.
 2003 03  751898.
 2003 02  351899·
 2003 01  781885.
 2002 12 211815·
 2002 11 41818.
 2002 10 831793.
 2002 09 671754·
 2002 08 631789·
 2002 07 531793.
 2002 06 991766·
 2002 05 661803·
 2002 04 761740·
 2002 03 811770·
 2002 02 711749.
 2002 01 941738·
 2001 12  101736.
 2001 11  691669·
 2001 10  111715·
 2001 09  931671·
 2001 08  411680·
 2001 07  231678·
 2001 06  581687·
 2001 05  351741.
 2001 04  691688.
 2001 03  751705.
 2001 02  741662.
 2001 01  121633·
 2000 12 191635·
 2000 11 821559.
 2000 10 471490.
 2000 09 441507.
 2000 08 431538·
 2000 07 261544·
 2000 06 901568.
 2000 05 751542.
 2000 04 151500.
 2000 03 121475·
 2000 02 411495.
 2000 01 751561·
 1999 12  361513.
 1999 11  731479·
 1999 10  631506·
 1999 09  361457.
 1999 08  301451.
 1999 07  651454.
 1999 06  431428.
 1999 05  791476·
 1999 04  501414.
 1999 03  701453·
 1999 02  951473.
 1999 01  481542·
 1998 12 691528·
 1998 11 951473·
 1998 10 571428·
 1998 09 121404·
 1998 08 891401·
 1998 07 711450·
 1998 06 911453·
 1998 05 641445.
 1998 04 341449.
 1998 03 541421·
 1998 02 851385.
 1998 01 251354.
 1997 12  561363.
 1997 11  281317.
 1997 10  531291·
 1997 09  371331.
 1997 08  291338.
 1997 07  971377.
 1997 06  321339·
 1997 05  711348·
 1997 04  541324.
 1997 03  941266.
 1997 02  841253·
 1997 01  211232.
 1996 12 561224.
 1996 11 761191.
 1996 10 991192·
 1996 09 51181·
 1996 08 861177·
 1996 07 231180.
 1996 06 881204·
 1996 05 671166·
 1996 04 191137.
 1996 03 431110·
 1996 02 891108.
 1996 01 781097·
 1995 12  551113.
 1995 11  681138.
 1995 10  671154.
 1995 09  311194·
 1995 08  201170.
 1995 07  541168.
 1995 06  71199·
 1995 05  451212·
 1995 04  651175.
 1995 03  821209.
 1995 02  241158.
 1995 01  641114·
 1994 12 641131.
 1994 11 591144·
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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: Population Level: 45-54 years, Hispanic or Latino 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

Subscribers can access data in Excel spreadsheet, and Copy & Paste formats.

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