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 Series Title: Total employed government wage and salary workers in Nondurable goods: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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 2012 04 9916·
 2012 03 6915·
 2012 02 515.
 2012 01 9115·
 2011 12  349·
 2011 11  4618.
 2011 10  3817.
 2011 09  5217·
 2011 08  118.
 2011 07  9713·
 2011 06  479.
 2011 05  8727·
 2011 04  8027.
 2011 03  214.
 2011 02  4427.
 2011 01  4012·
 2010 12 1615.
 2010 11 7028·
 2010 10 6920·
 2010 09 8017.
 2010 08 209.
 2010 07 3021·
 2010 06 8318·
 2010 05 111.
 2010 04 1614.
 2010 03 4119·
 2010 02 7412.
 2010 01 2215.
 2009 12  5612.
 2009 11  8418·
 2009 10  5623.
 2009 09  8824·
 2009 08  1421.
 2009 07  6517.
 2009 06  6621·
 2009 05  6711·
 2009 04  927.
 2009 03  1617·
 2009 02  6720·
 2009 01  5324·
 2008 12 1314·
 2008 11 9317·
 2008 10 4717·
 2008 09 6716·
 2008 08 3025.
 2008 07 7921·
 2008 06 1913·
 2008 05 5113.
 2008 04 1710·
 2008 03 7924.
 2008 02 2119·
 2008 01 7624·
 2007 12  7526.
 2007 11  2636.
 2007 10  1621.
 2007 09  3517·
 2007 08  2813.
 2007 07  7617.
 2007 06  9114.
 2007 05  4712.
 2007 04  2814·
 2007 03  1124.
 2007 02  6017.
 2007 01  568.
 2006 12 5012·
 2006 11 3829.
 2006 10 6030·
 2006 09 3216·
 2006 08 9417·
 2006 07 8712.
 2006 06 5420.
 2006 05 6911.
 2006 04 8617.
 2006 03 1617.
 2006 02 3121·
 2006 01 8627·
 2005 12  7620.
 2005 11  719·
 2005 10  213.
 2005 09  2717·
 2005 08  3921.
 2005 07  6522.
 2005 06  711·
 2005 05  6120·
 2005 04  7524·
 2005 03  2416·
 2005 02  715·
 2005 01  8320.
 2004 12 1117·
 2004 11 3828·
 2004 10 9118.
 2004 09 1015.
 2004 08 9712·
 2004 07 9011.
 2004 06 7214·
 2004 05 8914.
 2004 04 722.
 2004 03 8720.
 2004 02 8716·
 2004 01 87
 2003 12  436.
 2003 11  6120.
 2003 10  019.
 2003 09  019·
 2003 08  2914·
 2003 07  677·
 2003 06  983·
 2003 05  4514·
 2003 04  1720·
 2003 03  8719·
 2003 02  9411·
 2003 01  6722.
 2002 12 8117.
 2002 11 2921.
 2002 10 2623.
 2002 09 3617.
 2002 08 2229·
 2002 07 2326·
 2002 06 5729.
 2002 05 4526·
 2002 04 6522·
 2002 03 2722·
 2002 02 7521·
 2002 01 1421.
 2001 12  6115.
 2001 11  227·
 2001 10  937.
 2001 09  8637.
 2001 08  8564·
 2001 07  1435.
 2001 06  4835·
 2001 05  3225·
 2001 04  3714·
 2001 03  3620.
 2001 02  418.
 2001 01  4424·
 2000 12 4320.
 2000 11 4421·
 2000 10 4810.
 2000 09 4319·
 2000 08 5411.
 2000 07 1921·
 2000 06 9320·
 2000 05 7211.
 2000 04 4418·
 2000 03 695·
 2000 02 7814·
 2000 01 08.
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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: Total employed government wage and salary workers in Nondurable goods: 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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