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 Series Title: Employment Level: Nonagricultural Industries, Mexican: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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 2012 04 8113157.
 2012 03 4513027.
 2012 02 8112799·
 2012 01 4112719·
 2011 12  212650·
 2011 11  4312653·
 2011 10  4612552·
 2011 09  2012502·
 2011 08  5812372.
 2011 07  912248·
 2011 06  8112054·
 2011 05  6711929·
 2011 04  012137.
 2011 03  2411897·
 2011 02  9811849·
 2011 01  2611884.
 2010 12 312180.
 2010 11 9412380.
 2010 10 3612110.
 2010 09 6612378.
 2010 08 6712251.
 2010 07 5112159·
 2010 06 5712304.
 2010 05 8012167.
 2010 04 1712074·
 2010 03 5212171.
 2010 02 5012095.
 2010 01 8811999.
 2009 12  512134·
 2009 11  7812116.
 2009 10  2711823·
 2009 09  3411851·
 2009 08  511821.
 2009 07  3712089.
 2009 06  2512193.
 2009 05  8812135·
 2009 04  1812339.
 2009 03  5912279·
 2009 02  912095·
 2009 01  4312088·
 2008 12 6912454·
 2008 11 212420·
 2008 10 6512495.
 2008 09 1812681.
 2008 08 812728·
 2008 07 4612794.
 2008 06 712628·
 2008 05 5812821.
 2008 04 1212487·
 2008 03 9912318.
 2008 02 7212277.
 2008 01 3212211·
 2007 12  8012639·
 2007 11  9312428.
 2007 10  2412668.
 2007 09  3412715·
 2007 08  3812891·
 2007 07  8312738.
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 2007 05  8312542.
 2007 04  3612394.
 2007 03  5212315.
 2007 02  6412223.
 2007 01  2412065.
 2006 12 5012393·
 2006 11 612328.
 2006 10 312329.
 2006 09 2412112.
 2006 08 7912039.
 2006 07 7712123.
 2006 06 3012055·
 2006 05 8012130·
 2006 04 5012137·
 2006 03 2112035.
 2006 02 3211751.
 2006 01 911644.
 2005 12  1311585·
 2005 11  2011615.
 2005 10  2411749·
 2005 09  5511541.
 2005 08  4211654.
 2005 07  8211782·
 2005 06  4211719.
 2005 05  8911955·
 2005 04  4011567·
 2005 03  3611217.
 2005 02  4910877.
 2005 01  410753.
 2004 12 3011097·
 2004 11 4111256.
 2004 10 3411331.
 2004 09 1811211.
 2004 08 6311075.
 2004 07 7711148·
 2004 06 1011095.
 2004 05 7811156.
 2004 04 1510995·
 2004 03 5210763·
 2004 02 1410721.
 2004 01 5110603·
 2003 12  8610924·
 2003 11  9610817.
 2003 10  910585·
 2003 09  3110515.
 2003 08  210596·
 2003 07  6710714.
 2003 06  8310847.
 2003 05  3810793.
 2003 04  1210813·
 2003 03  4710701·
 2003 02  4810862.
 2003 01  1610687·
 2002 12 9310317.
 2002 11 4110545·
 2002 10 4410211·
 2002 09 3510220.
 2002 08 4510286·
 2002 07 8210191.
 2002 06 3310245.
 2002 05 8710337.
 2002 04 9210140·
 2002 03 2610118.
 2002 02 210232.
 2002 01 9310148.
 2001 12  8610460.
 2001 11  5410413·
 2001 10  6410409.
 2001 09  9610130.
 2001 08  110017·
 2001 07  759993.
 2001 06  589790·
 2001 05  669783.
 2001 04  399980·
 2001 03  189981.
 2001 02  4610101·
 2001 01  979919.
 2000 12 2510043·
 2000 11 419899·
 2000 10 169853.
 2000 09 79874·
 2000 08 89652.
 2000 07 259546.
 2000 06 829622.
 2000 05 429447·
 2000 04 659501.
 2000 03 779402.
 2000 02 809450·
 2000 01 709347.
 1999 12  958363.
 1999 11  298162·
 1999 10  748129.
 1999 09  857961.
 1999 08  258061.
 1999 07  387769·
 1999 06  527815.
 1999 05  77858.
 1999 04  47886·
 1999 03  848126.
 1999 02  267936·
 1999 01  797816.
 1998 12 87772.
 1998 11 747781.
 1998 10 357920.
 1998 09 717797·
 1998 08 387766·
 1998 07 417773·
 1998 06 427784·
 1998 05 777865.
 1998 04 187792·
 1998 03 417737.
 1998 02 337765·
 1998 01 167479.
 1997 12  997611.
 1997 11  557586·
 1997 10  237451.
 1997 09  327297.
 1997 08  577476·
 1997 07  917351·
 1997 06  497278·
 1997 05  957286·
 1997 04  927112·
 1997 03  797107·
 1997 02  747117·
 1997 01  987075.
 1996 12 297029·
 1996 11 767001·
 1996 10 857035.
 1996 09 606956.
 1996 08 186840·
 1996 07 656793.
 1996 06 976492·
 1996 05 276330.
 1996 04 366318.
 1996 03 516426.
 1996 02 466398·
 1996 01 666387.
 1995 12  826633.
 1995 11  676632·
 1995 10  956775·
 1995 09  726765·
 1995 08  826626·
 1995 07  686612.
 1995 06  336450·
 1995 05  646325·
 1995 04  866244·
 1995 03  386320.
 1995 02  736159.
 1995 01  876178·
 1994 12 706473·
 1994 11 816632·
 1994 10 516664·
 1994 09 96426·
 1994 08 346329.
 1994 07 306336·
 1994 06 326229.
 1994 05 256282.
 1994 04 36091.
 1994 03 426176.
 1994 02 25961.
 1994 01 535977.
 1993 12  286117·
 1993 11  986086·
 1993 10  756298·
 1993 09  386197·
 1993 08  846197·
 1993 07  56218·
 1993 06  906003·
 1993 05  505934·
 1993 04  726019·
 1993 03  945952·
 1993 02  75741.
 1993 01  815734.
 1992 12 175847.
 1992 11 235837·
 1992 10 175910·
 1992 09 525780·
 1992 08 695922.
 1992 07 725976.
 1992 06 305726·
 1992 05 65675.
 1992 04 45719.
 1992 03 485738·
 1992 02 865593.
 1992 01 135606·
 1991 12  225594·
 1991 11  845542·
 1991 10  485598·
 1991 09  665380·
 1991 08  485586·
 1991 07  355672·
 1991 06  25562·
 1991 05  855482·
 1991 04  335528.
 1991 03  835450·
 1991 02  625518·
 1991 01  155588.
 1990 12 535495·
 1990 11 365558·
 1990 10 665623.
 1990 09 235583·
 1990 08 85890.
 1990 07 245938.
 1990 06 775868.
 1990 05 55823.
 1990 04 225686·
 1990 03 45601·
 1990 02 835563.
 1990 01 795492.
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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: 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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