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 Series Title: Total employed government wage and salary workers in Other services, except private households: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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 2012 04 8248.
 2012 03 8138·
 2012 02 4839.
 2012 01 8727·
 2011 12  2433·
 2011 11  8837.
 2011 10  1048·
 2011 09  5033.
 2011 08  5236·
 2011 07  1227.
 2011 06  9117.
 2011 05  3124.
 2011 04  1426·
 2011 03  3517.
 2011 02  422.
 2011 01  7323.
 2010 12 8825.
 2010 11 6425·
 2010 10 8827·
 2010 09 4637·
 2010 08 7328.
 2010 07 3031·
 2010 06 626·
 2010 05 4423·
 2010 04 9525·
 2010 03 9030·
 2010 02 4426·
 2010 01 8629.
 2009 12  413·
 2009 11  2526.
 2009 10  1738.
 2009 09  1636·
 2009 08  7551·
 2009 07  4249.
 2009 06  6241·
 2009 05  325·
 2009 04  923·
 2009 03  7226·
 2009 02  4125·
 2009 01  4234.
 2008 12 3122·
 2008 11 7448·
 2008 10 4463.
 2008 09 5153·
 2008 08 9251·
 2008 07 2747·
 2008 06 8249.
 2008 05 7546.
 2008 04 6632·
 2008 03 3836.
 2008 02 9337.
 2008 01 8230·
 2007 12  5636·
 2007 11  4023·
 2007 10  4147·
 2007 09  6846·
 2007 08  8455.
 2007 07  8952.
 2007 06  1435.
 2007 05  5041·
 2007 04  441·
 2007 03  6722.
 2007 02  2328·
 2007 01  7432.
 2006 12 8834·
 2006 11 7943.
 2006 10 844·
 2006 09 950·
 2006 08 3937.
 2006 07 5946·
 2006 06 3136.
 2006 05 4727.
 2006 04 8133.
 2006 03 6230·
 2006 02 8023.
 2006 01 1018.
 2005 12  6418·
 2005 11  7025.
 2005 10  6739·
 2005 09  4032.
 2005 08  6533·
 2005 07  9029.
 2005 06  3127·
 2005 05  730·
 2005 04  8434.
 2005 03  5337.
 2005 02  3530·
 2005 01  634.
 2004 12 4543·
 2004 11 1634·
 2004 10 6654·
 2004 09 5447.
 2004 08 9939.
 2004 07 6147·
 2004 06 3838.
 2004 05 9731.
 2004 04 2230.
 2004 03 9422·
 2004 02 8823.
 2004 01 324.
 2003 12  1531·
 2003 11  4732.
 2003 10  7946·
 2003 09  6733.
 2003 08  132.
 2003 07  7746·
 2003 06  9943·
 2003 05  840.
 2003 04  3343·
 2003 03  6550·
 2003 02  6128.
 2003 01  7027·
 2002 12 8519·
 2002 11 1819·
 2002 10 329·
 2002 09 2228.
 2002 08 5732·
 2002 07 6735.
 2002 06 8733·
 2002 05 5829.
 2002 04 7642.
 2002 03 7036.
 2002 02 227·
 2002 01 9732·
 2001 12  9131·
 2001 11  737.
 2001 10  6128·
 2001 09  8425·
 2001 08  7747·
 2001 07  8625.
 2001 06  125.
 2001 05  8823.
 2001 04  3643.
 2001 03  3725·
 2001 02  8532.
 2001 01  227.
 2000 12 9316·
 2000 11 1921·
 2000 10 122·
 2000 09 4610.
 2000 08 9721·
 2000 07 1227·
 2000 06 6333·
 2000 05 6535.
 2000 04 2525·
 2000 03 2316.
 2000 02 719·
 2000 01 2628.
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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, except private households: 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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