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 Series Title: Employment Level: Nonagricultural Industries, Mexican Men: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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 2012 04 687821·
 2012 03 507676·
 2012 02 277564·
 2012 01 597556.
 2011 12  287738·
 2011 11  207763.
 2011 10  227613·
 2011 09  517615·
 2011 08  57642.
 2011 07  397581.
 2011 06  687413.
 2011 05  927290.
 2011 04  487347·
 2011 03  887182.
 2011 02  787293·
 2011 01  267222.
 2010 12 347438·
 2010 11 747550·
 2010 10 897443.
 2010 09 227571.
 2010 08 627617.
 2010 07 287666·
 2010 06 657596.
 2010 05 737449.
 2010 04 587375.
 2010 03 77359.
 2010 02 947297.
 2010 01 07135·
 2009 12  727235·
 2009 11  937310.
 2009 10  887160.
 2009 09  477222·
 2009 08  807357·
 2009 07  927461·
 2009 06  857501·
 2009 05  827417.
 2009 04  827528·
 2009 03  377517·
 2009 02  487414.
 2009 01  997461.
 2008 12 47674·
 2008 11 827736.
 2008 10 657756.
 2008 09 197870.
 2008 08 957947·
 2008 07 117934·
 2008 06 507760·
 2008 05 847845·
 2008 04 327686·
 2008 03 307719·
 2008 02 397654.
 2008 01 647679.
 2007 12  147928.
 2007 11  717830.
 2007 10  957952·
 2007 09  547841.
 2007 08  677966.
 2007 07  897867.
 2007 06  87747.
 2007 05  727806.
 2007 04  427723·
 2007 03  677677.
 2007 02  897606.
 2007 01  627537.
 2006 12 137723·
 2006 11 127769·
 2006 10 767759·
 2006 09 947588.
 2006 08 827512·
 2006 07 557488.
 2006 06 327426.
 2006 05 627536·
 2006 04 737575·
 2006 03 537592.
 2006 02 467338·
 2006 01 857278.
 2005 12  377270.
 2005 11  877204·
 2005 10  307332.
 2005 09  67199.
 2005 08  507314.
 2005 07  637412·
 2005 06  217416·
 2005 05  967509.
 2005 04  117298·
 2005 03  157034·
 2005 02  846764·
 2005 01  496718.
 2004 12 476916·
 2004 11 987066.
 2004 10 57100·
 2004 09 837015.
 2004 08 76980·
 2004 07 947119·
 2004 06 986990.
 2004 05 427004·
 2004 04 676866·
 2004 03 96752·
 2004 02 06732.
 2004 01 966702·
 2003 12  276876.
 2003 11  756736.
 2003 10  756647·
 2003 09  396609·
 2003 08  136657·
 2003 07  506686·
 2003 06  106766·
 2003 05  906763.
 2003 04  766725·
 2003 03  146659.
 2003 02  186722.
 2003 01  946578.
 2002 12 896250·
 2002 11 746445·
 2002 10 376269·
 2002 09 186151·
 2002 08 556276.
 2002 07 616310.
 2002 06 306288.
 2002 05 586462.
 2002 04 986174·
 2002 03 336044.
 2002 02 856164·
 2002 01 336115.
 2001 12  686311·
 2001 11  726357·
 2001 10  156418.
 2001 09  866246·
 2001 08  426187·
 2001 07  836256.
 2001 06  576074.
 2001 05  876108·
 2001 04  186263.
 2001 03  986090·
 2001 02  756139·
 2001 01  315972·
 2000 12 246062·
 2000 11 746027·
 2000 10 576086·
 2000 09 356032·
 2000 08 96061.
 2000 07 935955·
 2000 06 145987·
 2000 05 455805.
 2000 04 495895·
 2000 03 615777.
 2000 02 865695·
 2000 01 295653·
 1999 12  444872.
 1999 11  104824.
 1999 10  354894.
 1999 09  824758.
 1999 08  194784.
 1999 07  964586.
 1999 06  494574.
 1999 05  224615.
 1999 04  254669·
 1999 03  24817.
 1999 02  414715.
 1999 01  954664·
 1998 12 374681.
 1998 11 334758.
 1998 10 484766·
 1998 09 684685·
 1998 08 554702·
 1998 07 224687·
 1998 06 344700.
 1998 05 374757·
 1998 04 64732·
 1998 03 254711.
 1998 02 874769·
 1998 01 204597.
 1997 12  394704·
 1997 11  244735·
 1997 10  194565.
 1997 09  614422·
 1997 08  304508.
 1997 07  254449.
 1997 06  684417·
 1997 05  304401·
 1997 04  784312·
 1997 03  604324.
 1997 02  984285·
 1997 01  204273·
 1996 12 114192·
 1996 11 864164.
 1996 10 964311.
 1996 09 524191.
 1996 08 774201.
 1996 07 844142.
 1996 06 743977.
 1996 05 683825·
 1996 04 533838.
 1996 03 613950·
 1996 02 723926·
 1996 01 393913·
 1995 12  384072·
 1995 11  484001·
 1995 10  514124.
 1995 09  574100.
 1995 08  584049·
 1995 07  34043·
 1995 06  03951.
 1995 05  443903·
 1995 04  643827.
 1995 03  73870.
 1995 02  323744·
 1995 01  413785.
 1994 12 313922.
 1994 11 664044.
 1994 10 844060.
 1994 09 203907.
 1994 08 593846·
 1994 07 123867·
 1994 06 193806·
 1994 05 733804.
 1994 04 733712.
 1994 03 23738·
 1994 02 263630·
 1994 01 203724.
 1993 12  253738·
 1993 11  183738·
 1993 10  163865.
 1993 09  63841.
 1993 08  893819·
 1993 07  653780.
 1993 06  293661.
 1993 05  983612·
 1993 04  663658·
 1993 03  773640.
 1993 02  263542·
 1993 01  923499·
 1992 12 813582.
 1992 11 83572.
 1992 10 973689.
 1992 09 73589.
 1992 08 853654·
 1992 07 423655·
 1992 06 533430·
 1992 05 863441.
 1992 04 533458·
 1992 03 843457.
 1992 02 323384.
 1992 01 993376.
 1991 12  853383.
 1991 11  663396·
 1991 10  983484.
 1991 09  403390·
 1991 08  73474·
 1991 07  463495·
 1991 06  393463.
 1991 05  283398.
 1991 04  693417·
 1991 03  43288·
 1991 02  663366·
 1991 01  83439·
 1990 12 463421·
 1990 11 473482·
 1990 10 193554·
 1990 09 473481·
 1990 08 403641·
 1990 07 73595.
 1990 06 603525·
 1990 05 423572.
 1990 04 753455·
 1990 03 403439.
 1990 02 773445.
 1990 01 103429.
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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: Employment Level: Nonagricultural Industries, Mexican Men: 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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