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 Series Title: Persons At Work in Nonagricultural Industries, 25-54 years: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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 2012 04 5690214·
 2012 03 1889861·
 2012 02 8289897.
 2012 01 689849.
 2011 12  7490892·
 2011 11  7191146·
 2011 10  8590568·
 2011 09  3190478.
 2011 08  986825.
 2011 07  7385627·
 2011 06  3987747·
 2011 05  590755.
 2011 04  1090422·
 2011 03  589992.
 2011 02  5689578.
 2011 01  7289131·
 2010 12 5490799.
 2010 11 7491050.
 2010 10 7591146·
 2010 09 090833·
 2010 08 4087354·
 2010 07 1185942·
 2010 06 5988830·
 2010 05 8590854·
 2010 04 9390936.
 2010 03 7390128.
 2010 02 9689366.
 2010 01 4589778·
 2009 12  6590476.
 2009 11  4191513·
 2009 10  9791359.
 2009 09  2490729·
 2009 08  3187662·
 2009 07  2486591·
 2009 06  289254.
 2009 05  9291708.
 2009 04  9191372·
 2009 03  5091675.
 2009 02  7392067.
 2009 01  4292206.
 2008 12 7094179·
 2008 11 7995324·
 2008 10 9895556·
 2008 09 9495448.
 2008 08 1991773.
 2008 07 9190187.
 2008 06 9093459·
 2008 05 9296195·
 2008 04 1496076.
 2008 03 9395649.
 2008 02 8795514.
 2008 01 695562·
 2007 12  5496992·
 2007 11  1697371·
 2007 10  5297012.
 2007 09  2897110·
 2007 08  6593101.
 2007 07  1791228·
 2007 06  7293869·
 2007 05  7997051·
 2007 04  9795642.
 2007 03  7895867.
 2007 02  6195656.
 2007 01  295926·
 2006 12 2796759·
 2006 11 697143·
 2006 10 5696918.
 2006 09 6796386.
 2006 08 5391737·
 2006 07 3190666·
 2006 06 2092734·
 2006 05 6795654·
 2006 04 294336·
 2006 03 1294572·
 2006 02 4195059.
 2006 01 2394702.
 2005 12  2495491·
 2005 11  2995507·
 2005 10  3395331·
 2005 09  7795089·
 2005 08  9591093.
 2005 07  8889602.
 2005 06  3291347·
 2005 05  094888.
 2005 04  1494551.
 2005 03  2393848·
 2005 02  393854.
 2005 01  8593370·
 2004 12 794355.
 2004 11 8894564·
 2004 10 3294047·
 2004 09 5293732·
 2004 08 2589627·
 2004 07 6788433·
 2004 06 3290996.
 2004 05 4493730.
 2004 04 4392451·
 2004 03 6592871.
 2004 02 4292840.
 2004 01 3192624.
 2003 12  6193880·
 2003 11  1494011·
 2003 10  2593272.
 2003 09  793040.
 2003 08  588780.
 2003 07  7187150·
 2003 06  6890633·
 2003 05  9193428.
 2003 04  2593359·
 2003 03  1892900·
 2003 02  8492872·
 2003 01  2792398.
 2002 12 9692881.
 2002 11 6193213.
 2002 10 1192957·
 2002 09 8492927.
 2002 08 2088827.
 2002 07 3187015.
 2002 06 1289953.
 2002 05 5793083.
 2002 04 2092814·
 2002 03 8692448.
 2002 02 7592911·
 2002 01 6592466·
 2001 12  4993832·
 2001 11  793495·
 2001 10  1293501.
 2001 09  5193422.
 2001 08  8089565·
 2001 07  188405·
 2001 06  6291021·
 2001 05  8594466.
 2001 04  1593087.
 2001 03  9994075.
 2001 02  8894192.
 2001 01  6193748.
 2000 12 7894985.
 2000 11 5894744·
 2000 10 7794286·
 2000 09 9893737.
 2000 08 2188553·
 2000 07 6087935.
 2000 06 4390869.
 2000 05 4194431.
 2000 04 1994460.
 2000 03 1193639.
 2000 02 2293812·
 2000 01 5893392·
 1999 12  7192805.
 1999 11  4292907·
 1999 10  7992084.
 1999 09  4491481·
 1999 08  486311.
 1999 07  1285422.
 1999 06  189291·
 1999 05  1791459.
 1999 04  6891379·
 1999 03  091033·
 1999 02  091087.
 1999 01  2291012·
 1998 12 3891878.
 1998 11 1491679·
 1998 10 1590913·
 1998 09 2889990.
 1998 08 1485475.
 1998 07 8684903·
 1998 06 987816·
 1998 05 3090489.
 1998 04 2388996.
 1998 03 7290053.
 1998 02 7090013·
 1998 01 4589584·
 1997 12  1390728.
 1997 11  5390657.
 1997 10  1090599.
 1997 09  1990008·
 1997 08  6285119.
 1997 07  3783635.
 1997 06  6787244.
 1997 05  2189406.
 1997 04  6889315·
 1997 03  5589042·
 1997 02  488478·
 1997 01  4488163·
 1996 12 5989113·
 1996 11 6489548.
 1996 10 1089051.
 1996 09 988451·
 1996 08 8383532.
 1996 07 4582332·
 1996 06 9685034·
 1996 05 5887409.
 1996 04 1685802·
 1996 03 486871.
 1996 02 286640·
 1996 01 6184902.
 1995 12  5987286.
 1995 11  7587276·
 1995 10  8987009·
 1995 09  1386592·
 1995 08  3780704·
 1995 07  1280616.
 1995 06  4683139.
 1995 05  3286140.
 1995 04  184966.
 1995 03  9985601·
 1995 02  8585581·
 1995 01  6284714.
 1994 12 2686129.
 1994 11 4186077·
 1994 10 4585570·
 1994 09 7385025.
 1994 08 1179026·
 1994 07 7078610.
 1994 06 8881252·
 1994 05 6084534.
 1994 04 8483953·
 1994 03 4383738·
 1994 02 283362.
 1994 01 4082509.
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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: Persons At Work in Nonagricultural Industries, 25-54 years: 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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