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 Series Title: Employment Level: Nonagriculture, Private Households Wage and Salary Workers, 45-54 years, Men: NSA
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 2012 04 2916·
 2012 03 2918.
 2012 02 7522·
 2012 01 2120·
 2011 12  4433·
 2011 11  2125.
 2011 10  3417·
 2011 09  957·
 2011 08  947.
 2011 07  807.
 2011 06  630.
 2011 05  363.
 2011 04  2910·
 2011 03  8925·
 2011 02  7419.
 2011 01  888·
 2010 12 2613·
 2010 11 532.
 2010 10 69.
 2010 09 2118.
 2010 08 8313.
 2010 07 420.
 2010 06 2113.
 2010 05 2915·
 2010 04 289.
 2010 03 988·
 2010 02 7
 2010 01 3110·
 2009 12  916.
 2009 11  1819.
 2009 10  7814.
 2009 09  7113·
 2009 08  313.
 2009 07  719.
 2009 06  7016.
 2009 05  1918·
 2009 04  914·
 2009 03  877·
 2009 02  476.
 2009 01  676.
 2008 12 5412.
 2008 11 2317·
 2008 10 9717.
 2008 09 3710.
 2008 08 8813·
 2008 07 6110.
 2008 06 336·
 2008 05 7011·
 2008 04 8520.
 2008 03 818·
 2008 02 9231·
 2008 01 3822·
 2007 12  4730.
 2007 11  9517.
 2007 10  3824.
 2007 09  3412.
 2007 08  99
 2007 07  793.
 2007 06  58
 2007 05  776.
 2007 04  908.
 2007 03  4219.
 2007 02  6515·
 2007 01  116.
 2006 12 9815.
 2006 11 903.
 2006 10 984.
 2006 09 515·
 2006 08 2110·
 2006 07 5410·
 2006 06 1812.
 2006 05 546.
 2006 04 858·
 2006 03 9215·
 2006 02 1412.
 2006 01 7715.
 2005 12  4211.
 2005 11  864·
 2005 10  08·
 2005 09  1717·
 2005 08  6525.
 2005 07  4120·
 2005 06  1112.
 2005 05  45
 2005 04  5613·
 2005 03  899·
 2005 02  1312.
 2005 01  5313·
 2004 12 406.
 2004 11 878.
 2004 10 923·
 2004 09 6212·
 2004 08 6714.
 2004 07 1710·
 2004 06 6110.
 2004 05 151.
 2004 04 137·
 2004 03 8612·
 2004 02 597.
 2004 01 814·
 2003 12  789.
 2003 11  2416·
 2003 10  477.
 2003 09  567.
 2003 08  879.
 2003 07  897.
 2003 06  15
 2003 05  577.
 2003 04  92
 2003 03  622.
 2003 02  758.
 2003 01  288·
 2002 12 665.
 2002 11 5010.
 2002 10 6411.
 2002 09 4012·
 2002 08 1112·
 2002 07 8416.
 2002 06 4619.
 2002 05 8718·
 2002 04 529.
 2002 03 2215·
 2002 02 911·
 2002 01 8613.
 2001 12  4018.
 2001 11  457.
 2001 10  6510.
 2001 09  8317.
 2001 08  4910.
 2001 07  594.
 2001 06  539·
 2001 05  472·
 2001 04  819·
 2001 03  9520·
 2001 02  35
 2001 01  7114.
 2000 12 6010·
 2000 11 128.
 2000 10 999·
 2000 09 7612.
 2000 08 3723.
 2000 07 9023.
 2000 06 5817·
 2000 05 418·
 2000 04 8816.
 2000 03 3617·
 2000 02 5016·
 2000 01 2612.
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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 Households Wage and Salary Workers, 45-54 years, 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

Unemployment data for every county in the U.S..
Click for Illinois counties, then follow the example for your state

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