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 Series Title: Employment Level: Nonagriculture, Wage and Salary Workers, Cuban: NSA
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 2012 04 10877·
 2012 03 65892·
 2012 02 61803·
 2012 01 13753.
 2011 12  62686·
 2011 11  47744·
 2011 10  13809·
 2011 09  33819·
 2011 08  61825·
 2011 07  9839.
 2011 06  47831·
 2011 05  33875·
 2011 04  59816.
 2011 03  32842.
 2011 02  77845.
 2011 01  57827·
 2010 12 29758.
 2010 11 24693.
 2010 10 39793·
 2010 09 73729·
 2010 08 74802.
 2010 07 15803.
 2010 06 97819.
 2010 05 78820·
 2010 04 18800·
 2010 03 62814·
 2010 02 39823.
 2010 01 88821.
 2009 12  11816·
 2009 11  47777.
 2009 10  78745.
 2009 09  50709.
 2009 08  29724·
 2009 07  77703.
 2009 06  51666.
 2009 05  31711.
 2009 04  73716.
 2009 03  83698.
 2009 02  21768.
 2009 01  26837·
 2008 12 67846.
 2008 11 22798·
 2008 10 77765·
 2008 09 54755.
 2008 08 62780·
 2008 07 75812.
 2008 06 31800·
 2008 05 59819·
 2008 04 34774.
 2008 03 50817·
 2008 02 21821.
 2008 01 11822.
 2007 12  83832.
 2007 11  77809·
 2007 10  10743.
 2007 09  3745.
 2007 08  34707·
 2007 07  13813·
 2007 06  85851.
 2007 05  54819.
 2007 04  38860·
 2007 03  41803·
 2007 02  61780·
 2007 01  10783·
 2006 12 69834.
 2006 11 66757.
 2006 10 74667·
 2006 09 38694·
 2006 08 30683·
 2006 07 21717·
 2006 06 87696·
 2006 05 33713·
 2006 04 44725.
 2006 03 62696·
 2006 02 89753.
 2006 01 15729.
 2005 12  62749·
 2005 11  70709·
 2005 10  93686.
 2005 09  26681.
 2005 08  60689·
 2005 07  52645.
 2005 06  35640.
 2005 05  37638·
 2005 04  38599.
 2005 03  41647.
 2005 02  80704.
 2005 01  42685.
 2004 12 21704.
 2004 11 92760·
 2004 10 14734·
 2004 09 60695·
 2004 08 60660·
 2004 07 87668.
 2004 06 52665·
 2004 05 34649.
 2004 04 30650·
 2004 03 33676.
 2004 02 30623.
 2004 01 34612·
 2003 12  32630·
 2003 11  61615.
 2003 10  12626.
 2003 09  55581·
 2003 08  91574.
 2003 07  28591.
 2003 06  85541·
 2003 05  15637·
 2003 04  57606.
 2003 03  17561·
 2003 02  63534.
 2003 01  58545·
 2002 12 6573.
 2002 11 32507·
 2002 10 83506.
 2002 09 54511.
 2002 08 38561.
 2002 07 7605.
 2002 06 8537.
 2002 05 96578.
 2002 04 78515.
 2002 03 97565.
 2002 02 27602·
 2002 01 4552·
 2001 12  78566.
 2001 11  84538.
 2001 10  51519.
 2001 09  23544.
 2001 08  12568.
 2001 07  76626·
 2001 06  20562.
 2001 05  20619.
 2001 04  80564·
 2001 03  3595.
 2001 02  95640·
 2001 01  91553·
 2000 12 9619.
 2000 11 22680.
 2000 10 64657.
 2000 09 54690·
 2000 08 48694·
 2000 07 15679·
 2000 06 42641·
 2000 05 54651·
 2000 04 73564·
 2000 03 89647.
 2000 02 64702.
 2000 01 59650·
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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, Wage and Salary Workers, Cuban: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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