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 Series Title: Population Level: 35-44 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 363713.
 2012 03 883706.
 2012 02 83699.
 2012 01 53692.
 2011 12  113436·
 2011 11  613430·
 2011 10  933424.
 2011 09  743417·
 2011 08  523410.
 2011 07  323404.
 2011 06  793398·
 2011 05  433392·
 2011 04  113386·
 2011 03  843379.
 2011 02  793373·
 2011 01  543366·
 2010 12 613374·
 2010 11 223368·
 2010 10 303362·
 2010 09 773356·
 2010 08 43349.
 2010 07 783343.
 2010 06 963336.
 2010 05 63330·
 2010 04 653324.
 2010 03 103318·
 2010 02 643312·
 2010 01 613306.
 2009 12  943380·
 2009 11  983374·
 2009 10  483367·
 2009 09  843360·
 2009 08  673353.
 2009 07  503346.
 2009 06  853339·
 2009 05  473332·
 2009 04  843325·
 2009 03  963319.
 2009 02  383312·
 2009 01  413305·
 2008 12 703329.
 2008 11 943322·
 2008 10 953316.
 2008 09 883309·
 2008 08 763302·
 2008 07 263295·
 2008 06 693288.
 2008 05 313281.
 2008 04 783273·
 2008 03 973266.
 2008 02 983259·
 2008 01 383251·
 2007 12  753269·
 2007 11  403261.
 2007 10  453253·
 2007 09  53244.
 2007 08  933235.
 2007 07  113226.
 2007 06  973218.
 2007 05  513210·
 2007 04  823202·
 2007 03  913192.
 2007 02  683184·
 2007 01  183175·
 2006 12 193151·
 2006 11 883144·
 2006 10 953136.
 2006 09 783127·
 2006 08 23119·
 2006 07 343110.
 2006 06 413102·
 2006 05 233093·
 2006 04 583085·
 2006 03 833076·
 2006 02 953066·
 2006 01 733057·
 2005 12  373057·
 2005 11  203048.
 2005 10  683039·
 2005 09  723030.
 2005 08  153021.
 2005 07  493012·
 2005 06  03004.
 2005 05  892996·
 2005 04  912988.
 2005 03  32979·
 2005 02  522971·
 2005 01  192963.
 2004 12 912958.
 2004 11 382949.
 2004 10 132939.
 2004 09 802930·
 2004 08 662921.
 2004 07 362911·
 2004 06 962903·
 2004 05 172894·
 2004 04 912886.
 2004 03 42877·
 2004 02 382869.
 2004 01 982861.
 2003 12  662971.
 2003 11  732958.
 2003 10  22945.
 2003 09  192933.
 2003 08  172921·
 2003 07  992910.
 2003 06  772898.
 2003 05  972887·
 2003 04  942876·
 2003 03  662864.
 2003 02  752852·
 2003 01  782841.
 2002 12 732818·
 2002 11 782854·
 2002 10 342841.
 2002 09 302870·
 2002 08 532835·
 2002 07 682798.
 2002 06 172747.
 2002 05 472619·
 2002 04 612628.
 2002 03 922590.
 2002 02 122566.
 2002 01 492612.
 2001 12  462514·
 2001 11  332549.
 2001 10  322623.
 2001 09  802689.
 2001 08  842691·
 2001 07  962620.
 2001 06  142571·
 2001 05  92496.
 2001 04  762534·
 2001 03  142565·
 2001 02  222551.
 2001 01  292566·
 2000 12 472550·
 2000 11 422568.
 2000 10 432609.
 2000 09 612563.
 2000 08 472534·
 2000 07 632527.
 2000 06 902558.
 2000 05 482573.
 2000 04 512567.
 2000 03 842557.
 2000 02 22621.
 2000 01 602536.
 1999 12  612457·
 1999 11  352462.
 1999 10  412450.
 1999 09  902443.
 1999 08  12507·
 1999 07  742513·
 1999 06  942455·
 1999 05  582418·
 1999 04  212390·
 1999 03  822322·
 1999 02  762348.
 1999 01  72342·
 1998 12 982206.
 1998 11 662254.
 1998 10 232322·
 1998 09 82302.
 1998 08 322351.
 1998 07 572330·
 1998 06 992268·
 1998 05 542249·
 1998 04 472205·
 1998 03 122184·
 1998 02 922200·
 1998 01 642233·
 1997 12  952226.
 1997 11  132281.
 1997 10  142269·
 1997 09  832156·
 1997 08  502234·
 1997 07  672149.
 1997 06  32165.
 1997 05  792145.
 1997 04  142137·
 1997 03  42140.
 1997 02  222107.
 1997 01  472129·
 1996 12 112132.
 1996 11 822144·
 1996 10 602154.
 1996 09 62122.
 1996 08 922095.
 1996 07 832054·
 1996 06 282014.
 1996 05 992021·
 1996 04 332046.
 1996 03 122068·
 1996 02 662064·
 1996 01 972073·
 1995 12  332061·
 1995 11  22069·
 1995 10  352038·
 1995 09  932023.
 1995 08  182003·
 1995 07  92024.
 1995 06  241963.
 1995 05  71977.
 1995 04  391961·
 1995 03  151944.
 1995 02  451965.
 1995 01  821957.
 1994 12 701956·
 1994 11 261988.
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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: 35-44 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

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