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 Series Title: Employment Level: Service Occupations, Except Protective Occupations in Other Services, Except Private Households Industry: NSA
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 2012 04 851895·
 2012 03 11938·
 2012 02 111969.
 2012 01 131928·
 2011 12  261968·
 2011 11  731849·
 2011 10  801839·
 2011 09  11785·
 2011 08  701754.
 2011 07  821659.
 2011 06  881752·
 2011 05  251664·
 2011 04  691724.
 2011 03  81812·
 2011 02  471779·
 2011 01  301806·
 2010 12 971915·
 2010 11 591754.
 2010 10 951722·
 2010 09 841707·
 2010 08 561648·
 2010 07 651743.
 2010 06 951824·
 2010 05 821743.
 2010 04 701800·
 2010 03 841857·
 2010 02 351830·
 2010 01 421785.
 2009 12  891756·
 2009 11  971695.
 2009 10  281792·
 2009 09  91744·
 2009 08  901693.
 2009 07  111842.
 2009 06  111739.
 2009 05  531750·
 2009 04  721801.
 2009 03  571775·
 2009 02  481777.
 2009 01  661703.
 2008 12 611668.
 2008 11 931600.
 2008 10 271742·
 2008 09 691745·
 2008 08 81778·
 2008 07 991927.
 2008 06 611871.
 2008 05 51884·
 2008 04 871699.
 2008 03 821593·
 2008 02 861591·
 2008 01 441522.
 2007 12  01565.
 2007 11  751568·
 2007 10  671602.
 2007 09  791745·
 2007 08  711780·
 2007 07  331760.
 2007 06  911803.
 2007 05  311748·
 2007 04  511635.
 2007 03  381637·
 2007 02  711601·
 2007 01  421614.
 2006 12 151705.
 2006 11 981773.
 2006 10 441787.
 2006 09 821796.
 2006 08 641762.
 2006 07 431807·
 2006 06 751727.
 2006 05 461676·
 2006 04 231708.
 2006 03 301661.
 2006 02 501747.
 2006 01 521747·
 2005 12  431735.
 2005 11  411662.
 2005 10  831630.
 2005 09  451577·
 2005 08  981614.
 2005 07  831740·
 2005 06  111740.
 2005 05  931625.
 2005 04  901607·
 2005 03  861609·
 2005 02  971598·
 2005 01  911607.
 2004 12 431736.
 2004 11 91566.
 2004 10 301591.
 2004 09 591647.
 2004 08 81604·
 2004 07 321607.
 2004 06 221610·
 2004 05 391679.
 2004 04 611642·
 2004 03 621607.
 2004 02 111647·
 2004 01 11592·
 2003 12  21545.
 2003 11  301531·
 2003 10  591560·
 2003 09  401504.
 2003 08  551525·
 2003 07  941543.
 2003 06  561603.
 2003 05  751572·
 2003 04  731577·
 2003 03  351601.
 2003 02  131626·
 2003 01  491644.
 2002 12 291592.
 2002 11 601568·
 2002 10 691548·
 2002 09 321455·
 2002 08 251507·
 2002 07 01615.
 2002 06 861543.
 2002 05 181574.
 2002 04 861568.
 2002 03 121468·
 2002 02 531606·
 2002 01 261537·
 2001 12  611455·
 2001 11  771506.
 2001 10  811421.
 2001 09  01414·
 2001 08  281446.
 2001 07  31461·
 2001 06  101467.
 2001 05  101425.
 2001 04  851529.
 2001 03  201552·
 2001 02  21469.
 2001 01  491456.
 2000 12 591415.
 2000 11 861423.
 2000 10 451440.
 2000 09 371515·
 2000 08 991510·
 2000 07 821504.
 2000 06 521417.
 2000 05 181424·
 2000 04 811416.
 2000 03 141415.
 2000 02 601380·
 2000 01 601330·
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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: Service Occupations, Except Protective Occupations in Other Services, Except Private Households Industry: 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

Unemployment data for every county in the U.S..
Click for Illinois counties, then follow the example for your state

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