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 Series Title: Employment Level: Nonagriculture, Private Industries Wage and Salary Workers, 35-44 years, Women: NSA
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 2012 04 3110800·
 2012 03 2610760·
 2012 02 310544.
 2012 01 9510541.
 2011 12  6110393.
 2011 11  6010497·
 2011 10  5610531.
 2011 09  3910429·
 2011 08  8310324·
 2011 07  1810476.
 2011 06  3410419.
 2011 05  610547·
 2011 04  4610661.
 2011 03  8110599.
 2011 02  5110517.
 2011 01  4110569·
 2010 12 2710512·
 2010 11 5510471·
 2010 10 4510477.
 2010 09 1310363·
 2010 08 2510577.
 2010 07 7310501.
 2010 06 7810535.
 2010 05 1610644.
 2010 04 6510668.
 2010 03 9110628.
 2010 02 3910602·
 2010 01 6910632·
 2009 12  010536.
 2009 11  9010607·
 2009 10  4110673·
 2009 09  1710849·
 2009 08  310918.
 2009 07  7810868.
 2009 06  2010984·
 2009 05  2810908·
 2009 04  7410982·
 2009 03  8611065.
 2009 02  4111142.
 2009 01  9611189·
 2008 12 4111498·
 2008 11 7111406.
 2008 10 9111502·
 2008 09 4211467·
 2008 08 5211209·
 2008 07 1311246·
 2008 06 8211464.
 2008 05 811536.
 2008 04 8411547.
 2008 03 2111773.
 2008 02 5411683.
 2008 01 6511957·
 2007 12  3612080.
 2007 11  2511958.
 2007 10  6811868.
 2007 09  611803·
 2007 08  3411701·
 2007 07  8211544·
 2007 06  1311564·
 2007 05  5011659.
 2007 04  2911669·
 2007 03  7411814.
 2007 02  111862·
 2007 01  4111742.
 2006 12 9511894.
 2006 11 711938·
 2006 10 7111963·
 2006 09 4911921·
 2006 08 3411773.
 2006 07 1411626·
 2006 06 8511797·
 2006 05 6811808·
 2006 04 7011836.
 2006 03 5011891.
 2006 02 3111804·
 2006 01 1711678·
 2005 12  5411856·
 2005 11  9811846.
 2005 10  2211884·
 2005 09  4012065·
 2005 08  6111827·
 2005 07  6311769·
 2005 06  9611721.
 2005 05  611858·
 2005 04  9311903.
 2005 03  7911849.
 2005 02  1611758·
 2005 01  1011747·
 2004 12 7311958.
 2004 11 011909·
 2004 10 6912024.
 2004 09 7011849.
 2004 08 5311726·
 2004 07 1011873·
 2004 06 7011813.
 2004 05 3011937·
 2004 04 811998.
 2004 03 1411925.
 2004 02 5411917.
 2004 01 6111849·
 2003 12  3812096.
 2003 11  4412155.
 2003 10  8612040·
 2003 09  5512049.
 2003 08  6912048·
 2003 07  5711887.
 2003 06  5411996.
 2003 05  3212101·
 2003 04  5112142·
 2003 03  3412157.
 2003 02  6912016·
 2003 01  3712138·
 2002 12 6012202.
 2002 11 8312160·
 2002 10 7112196.
 2002 09 3712269·
 2002 08 9512188.
 2002 07 3412116·
 2002 06 2212055·
 2002 05 2912150.
 2002 04 8312190.
 2002 03 4512365·
 2002 02 912479·
 2002 01 2912543·
 2001 12  7412552·
 2001 11  9712474.
 2001 10  4612495·
 2001 09  8412463·
 2001 08  4212401.
 2001 07  9712403·
 2001 06  7112412·
 2001 05  6112719.
 2001 04  8912911.
 2001 03  7512915·
 2001 02  4612842.
 2001 01  5612787·
 2000 12 4012749.
 2000 11 9012863·
 2000 10 6012725·
 2000 09 8712766.
 2000 08 4512567·
 2000 07 2312620.
 2000 06 2512627·
 2000 05 9812815.
 2000 04 7912722·
 2000 03 8012554.
 2000 02 7912665·
 2000 01 5812559·
 1999 12  4412794·
 1999 11  9212892·
 1999 10  8612743.
 1999 09  6212606·
 1999 08  6412398·
 1999 07  1712409·
 1999 06  3212308·
 1999 05  2912611.
 1999 04  9012394.
 1999 03  3712459.
 1999 02  3112442.
 1999 01  212468·
 1998 12 9712550.
 1998 11 5712382.
 1998 10 2112548·
 1998 09 5212354.
 1998 08 8512338.
 1998 07 912287.
 1998 06 6512267.
 1998 05 7112291·
 1998 04 8112258·
 1998 03 5112271.
 1998 02 5012275·
 1998 01 8012247·
 1997 12  3312405.
 1997 11  6312356.
 1997 10  8912453.
 1997 09  2312356.
 1997 08  1912283·
 1997 07  5312136.
 1997 06  2111945·
 1997 05  6811980.
 1997 04  3811963·
 1997 03  5212081.
 1997 02  812046.
 1997 01  1011944·
 1996 12 1512038·
 1996 11 1612029.
 1996 10 3812012·
 1996 09 6711925·
 1996 08 111762.
 1996 07 2811744.
 1996 06 2411650·
 1996 05 8511602·
 1996 04 7211501·
 1996 03 9411522·
 1996 02 411483.
 1996 01 3111447.
 1995 12  2711622.
 1995 11  4511526·
 1995 10  4111472·
 1995 09  111512.
 1995 08  9211231.
 1995 07  3811383·
 1995 06  2211220·
 1995 05  1411216.
 1995 04  1811149·
 1995 03  5611125·
 1995 02  6111202.
 1995 01  1311192.
 1994 12 8011262.
 1994 11 311245.
 1994 10 9611188·
 1994 09 6711135.
 1994 08 7810936.
 1994 07 1310952·
 1994 06 8910832·
 1994 05 7210962·
 1994 04 3710853·
 1994 03 4210842.
 1994 02 2710923.
 1994 01 4510755.
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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: Nonagriculture, Private Industries Wage and Salary Workers, 35-44 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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