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 Series Title: Men, employed government wage and salary workers in Hospitals: NSA
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 2012 04 89226.
 2012 03 78239.
 2012 02 31258·
 2012 01 75285.
 2011 12  63294.
 2011 11  48300.
 2011 10  86276·
 2011 09  64248·
 2011 08  47250·
 2011 07  60214.
 2011 06  86237·
 2011 05  95264.
 2011 04  91258·
 2011 03  96234·
 2011 02  44230.
 2011 01  12220.
 2010 12 72215.
 2010 11 63229·
 2010 10 97235·
 2010 09 86237·
 2010 08 88240·
 2010 07 91238·
 2010 06 9228·
 2010 05 9264.
 2010 04 67245·
 2010 03 39212.
 2010 02 66210·
 2010 01 1201·
 2009 12  57234.
 2009 11  87280.
 2009 10  83259·
 2009 09  7213.
 2009 08  35224·
 2009 07  42213.
 2009 06  97202·
 2009 05  94185·
 2009 04  0197.
 2009 03  35203.
 2009 02  71223.
 2009 01  58251·
 2008 12 79267·
 2008 11 24284·
 2008 10 92300.
 2008 09 18262·
 2008 08 22267.
 2008 07 90259·
 2008 06 75250·
 2008 05 17248·
 2008 04 3234·
 2008 03 40215·
 2008 02 55250.
 2008 01 25240·
 2007 12  24257·
 2007 11  5278.
 2007 10  97289·
 2007 09  36285.
 2007 08  9292.
 2007 07  42269.
 2007 06  89273·
 2007 05  69269·
 2007 04  10297.
 2007 03  32272.
 2007 02  43264.
 2007 01  68240.
 2006 12 2216·
 2006 11 83219.
 2006 10 97190.
 2006 09 3188.
 2006 08 84195.
 2006 07 25228·
 2006 06 14236.
 2006 05 67289.
 2006 04 82285.
 2006 03 16249·
 2006 02 81247·
 2006 01 80253.
 2005 12  48233·
 2005 11  37233.
 2005 10  13247.
 2005 09  85248.
 2005 08  55236.
 2005 07  94252.
 2005 06  46243.
 2005 05  53257.
 2005 04  5264.
 2005 03  20271·
 2005 02  44277·
 2005 01  77271.
 2004 12 23271.
 2004 11 72277.
 2004 10 95233.
 2004 09 76269·
 2004 08 59245·
 2004 07 29230.
 2004 06 11230.
 2004 05 94206·
 2004 04 89201·
 2004 03 0187.
 2004 02 30231.
 2004 01 1215·
 2003 12  13225.
 2003 11  16237.
 2003 10  15224.
 2003 09  90197·
 2003 08  56194·
 2003 07  34189.
 2003 06  54175·
 2003 05  81178.
 2003 04  69184.
 2003 03  35160.
 2003 02  60168·
 2003 01  18188·
 2002 12 28196·
 2002 11 26188.
 2002 10 71175.
 2002 09 71200.
 2002 08 32198·
 2002 07 38226·
 2002 06 49200.
 2002 05 32190·
 2002 04 7175·
 2002 03 28190.
 2002 02 84197.
 2002 01 22211.
 2001 12  4228·
 2001 11  79214.
 2001 10  86229·
 2001 09  84226.
 2001 08  97210.
 2001 07  95208·
 2001 06  96208.
 2001 05  88185.
 2001 04  88225·
 2001 03  10235.
 2001 02  74237.
 2001 01  28210·
 2000 12 1183.
 2000 11 79230.
 2000 10 9227·
 2000 09 22252.
 2000 08 87234·
 2000 07 85254·
 2000 06 15249.
 2000 05 16224·
 2000 04 21187.
 2000 03 34229·
 2000 02 28221.
 2000 01 78244.
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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: Men, employed government wage and salary workers in Hospitals: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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