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 Series Title: Employment Level: Nonagriculture, Private Households Wage and Salary Workers, 55-64 years, Men: NSA
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 2012 04 976.
 2012 03 931·
 2012 02 281·
 2012 01 658·
 2011 12  957.
 2011 11  913.
 2011 10  112·
 2011 09  9312·
 2011 08  9111·
 2011 07  5510.
 2011 06  610·
 2011 05  5222·
 2011 04  3423·
 2011 03  1221.
 2011 02  5718.
 2011 01  8413·
 2010 12 116.
 2010 11 87
 2010 10 904.
 2010 09 596·
 2010 08 92
 2010 07 116·
 2010 06 706·
 2010 05 7210·
 2010 04 329.
 2010 03 4213.
 2010 02 8313.
 2010 01 4213.
 2009 12  7113·
 2009 11  6114.
 2009 10  4210.
 2009 09  1215·
 2009 08  8515·
 2009 07  7422·
 2009 06  8620·
 2009 05  5112.
 2009 04  759.
 2009 03  144.
 2009 02  781.
 2009 01  554·
 2008 12 657.
 2008 11 3614·
 2008 10 411.
 2008 09 429.
 2008 08 714·
 2008 07 2311·
 2008 06 7911.
 2008 05 5514.
 2008 04 759·
 2008 03 811.
 2008 02 402.
 2008 01 655.
 2007 12  7012.
 2007 11  424.
 2007 10  507.
 2007 09  667·
 2007 08  175.
 2007 07  628.
 2007 06  977·
 2007 05  76
 2007 04  667·
 2007 03  242·
 2007 02  944.
 2007 01  403.
 2006 12 945·
 2006 11 335·
 2006 09 784.
 2006 08 274.
 2006 07 111.
 2006 06 218.
 2006 05 134·
 2006 04 313.
 2006 03 113.
 2006 02 450.
 2006 01 864.
 2005 12  71
 2005 11  751.
 2005 10  874·
 2005 09  1019.
 2005 08  9118·
 2005 07  6910·
 2005 06  534·
 2005 05  243·
 2005 04  614.
 2005 03  934·
 2005 02  756·
 2005 01  906.
 2004 12 744.
 2004 11 727.
 2004 10 912·
 2004 09 9510.
 2004 08 5010·
 2004 07 5710·
 2004 04 386.
 2004 03 544.
 2004 02 339.
 2004 01 2413.
 2003 12  6815·
 2003 11  312.
 2003 10  9212·
 2003 09  7210·
 2003 08  296.
 2003 07  612.
 2003 06  217.
 2003 05  2710·
 2003 04  808.
 2003 03  504.
 2003 02  40
 2003 01  395·
 2002 12 23.
 2002 11 4913·
 2002 10 926.
 2002 09 845·
 2002 08 16.
 2002 07 409.
 2002 06 465.
 2002 05 6218·
 2002 04 108.
 2002 03 873.
 2002 02 975·
 2002 01 995·
 2001 12  8318.
 2001 11  7611·
 2001 10  6414.
 2001 09  4410·
 2001 08  48.
 2001 07  2211.
 2001 06  91
 2001 05  744·
 2001 04  794·
 2001 03  618·
 2001 02  474.
 2001 01  897.
 2000 12 4014·
 2000 11 5715.
 2000 10 266.
 2000 09 137.
 2000 08 437·
 2000 06 982.
 2000 05 482.
 2000 04 987.
 2000 03 709·
 2000 02 967·
 2000 01 565.
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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, 55-64 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

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