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 Series Title: Employed: Wage and salary workers, Health service, except hospitals: NSA
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 2012 04 109626·
 2012 03 269831·
 2012 02 409536·
 2012 01 629239.
 2011 12  248925.
 2011 11  639162·
 2011 10  149087·
 2011 09  459053.
 2011 08  59306·
 2011 07  989093·
 2011 06  898946·
 2011 05  288867.
 2011 04  28843.
 2011 03  138854.
 2011 02  788707.
 2011 01  538679·
 2010 12 928810·
 2010 11 168832.
 2010 10 188985.
 2010 09 909089·
 2010 08 749332.
 2010 07 369242.
 2010 06 739192.
 2010 05 339023·
 2010 04 748758·
 2010 03 328792.
 2010 02 308869·
 2010 01 29083.
 2009 12  429091·
 2009 11  849005·
 2009 10  38992.
 2009 09  408821·
 2009 08  548871.
 2009 07  08809.
 2009 06  298658.
 2009 05  168771·
 2009 04  108738·
 2009 03  108688·
 2009 02  718762·
 2009 01  258773·
 2008 12 358941.
 2008 11 728842.
 2008 10 178693.
 2008 09 868566·
 2008 08 808247.
 2008 07 688319.
 2008 06 818356·
 2008 05 428285·
 2008 04 218440.
 2008 03 38493.
 2008 02 998437.
 2008 01 648423·
 2007 12  578440·
 2007 11  108325·
 2007 10  348548.
 2007 09  458624·
 2007 08  148419.
 2007 07  458293.
 2007 06  758052·
 2007 05  48010.
 2007 04  438128.
 2007 03  908393·
 2007 02  358377·
 2007 01  868220.
 2006 12 188293.
 2006 11 518273·
 2006 10 518190·
 2006 09 608317.
 2006 08 418394.
 2006 07 608190·
 2006 06 878199.
 2006 05 198154.
 2006 04 368072·
 2006 03 748176·
 2006 02 298226.
 2006 01 838038·
 2005 12  548075.
 2005 11  747943·
 2005 10  928090.
 2005 09  968217·
 2005 08  708267·
 2005 07  688112.
 2005 06  127970.
 2005 05  287684.
 2005 04  867669·
 2005 03  867873.
 2005 02  547790.
 2005 01  717797·
 2004 12 257915·
 2004 11 857738·
 2004 10 47713·
 2004 09 477643·
 2004 08 397770.
 2004 07 477934·
 2004 06 767882.
 2004 05 977713.
 2004 04 37726.
 2004 03 797638.
 2004 02 77426·
 2004 01 937502.
 2003 12  177554·
 2003 11  127559.
 2003 10  607605·
 2003 09  277363.
 2003 08  77339.
 2003 07  27502·
 2003 06  247629.
 2003 05  207574·
 2003 04  237521.
 2003 03  337625·
 2003 02  117417.
 2003 01  157499.
 2002 12 417493.
 2002 11 97356.
 2002 10 597574.
 2002 09 817553·
 2002 08 607263·
 2002 07 637314.
 2002 06 327231.
 2002 05 127152.
 2002 04 77316·
 2002 03 527473.
 2002 02 167300·
 2002 01 287302.
 2001 12  317284.
 2001 11  567102·
 2001 10  247042·
 2001 09  736903·
 2001 08  96910·
 2001 07  847166·
 2001 06  957011.
 2001 05  156801·
 2001 04  406853·
 2001 03  656705.
 2001 02  926701.
 2001 01  506847·
 2000 12 496938·
 2000 11 586816.
 2000 10 36696·
 2000 09 966567·
 2000 08 886607.
 2000 07 436685·
 2000 06 396707.
 2000 05 976609·
 2000 04 326520·
 2000 03 276489.
 2000 02 406599.
 2000 01 236630·
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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: Employed: Wage and salary workers, Health service, except hospitals: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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