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 Series Title: Total employed government wage and salary workers in Other services: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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 2012 04 4848.
 2012 03 3838·
 2012 02 7239·
 2012 01 8427.
 2011 12  3233·
 2011 11  7537.
 2011 10  7848·
 2011 09  3033.
 2011 08  636.
 2011 07  3627·
 2011 06  917·
 2011 05  124.
 2011 04  2326.
 2011 03  217.
 2011 02  8022·
 2011 01  3923·
 2010 12 5625·
 2010 11 8025.
 2010 10 2727.
 2010 09 1437.
 2010 08 828.
 2010 07 131.
 2010 06 1326.
 2010 05 2023.
 2010 04 225·
 2010 03 2230.
 2010 02 2726·
 2010 01 7629.
 2009 12  8913·
 2009 11  2426.
 2009 10  8238·
 2009 09  2736.
 2009 08  4551.
 2009 07  1549.
 2009 06  1441.
 2009 05  4125.
 2009 04  7023·
 2009 03  2626.
 2009 02  8825.
 2009 01  1334.
 2008 12 9022·
 2008 11 1448·
 2008 10 9163.
 2008 09 6253.
 2008 08 5451·
 2008 07 6047·
 2008 06 3649.
 2008 05 3146.
 2008 04 3932·
 2008 03 7036·
 2008 02 6037.
 2008 01 9130.
 2007 12  4436·
 2007 11  7723·
 2007 10  2847·
 2007 09  3546.
 2007 08  9555.
 2007 07  3852·
 2007 06  2635.
 2007 05  8241.
 2007 04  4341·
 2007 03  3322·
 2007 02  6728·
 2007 01  7732·
 2006 12 6234.
 2006 11 6943.
 2006 10 9044.
 2006 09 8850.
 2006 08 5437.
 2006 07 7946·
 2006 06 5736·
 2006 05 1027·
 2006 04 4333.
 2006 03 1830·
 2006 02 5623·
 2006 01 6218.
 2005 12  8118.
 2005 11  6925·
 2005 10  039·
 2005 09  8832·
 2005 08  4133.
 2005 07  3829·
 2005 06  2727·
 2005 05  5730·
 2005 04  2634.
 2005 03  5637·
 2005 02  030.
 2005 01  6434.
 2004 12 5943.
 2004 11 8134·
 2004 10 754.
 2004 09 2747·
 2004 08 9339·
 2004 07 9347·
 2004 06 6038.
 2004 05 9131·
 2004 04 130.
 2004 03 122·
 2004 02 9823.
 2004 01 2424.
 2003 12  8431·
 2003 11  3432·
 2003 10  8346.
 2003 09  2233.
 2003 08  6832.
 2003 07  5046·
 2003 06  443·
 2003 05  240·
 2003 04  343·
 2003 03  3150·
 2003 02  7328.
 2003 01  1027.
 2002 12 6519.
 2002 11 8219.
 2002 10 2729.
 2002 09 1328·
 2002 08 5332.
 2002 07 3735.
 2002 06 3133·
 2002 05 829·
 2002 04 9442.
 2002 03 5136.
 2002 02 7227·
 2002 01 1232.
 2001 12  3831.
 2001 11  637·
 2001 10  6228·
 2001 09  6925.
 2001 08  5947·
 2001 07  925.
 2001 06  4025·
 2001 05  5023.
 2001 04  5943·
 2001 03  9125.
 2001 02  6832·
 2001 01  4827.
 2000 12 6316·
 2000 11 921·
 2000 10 3522.
 2000 09 8110·
 2000 08 2121.
 2000 07 4427.
 2000 06 5433·
 2000 05 9535.
 2000 04 925·
 2000 03 416·
 2000 02 6119·
 2000 01 5928.
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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 Other services: 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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