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 Series Title: Total employed government wage and salary workers in Health services, except hospitals: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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 2012 04 9457.
 2012 03 13515.
 2012 02 4505.
 2012 01 21478.
 2011 12  30449·
 2011 11  96406·
 2011 10  88445.
 2011 09  4396.
 2011 08  24438·
 2011 07  83466.
 2011 06  79511·
 2011 05  92499·
 2011 04  40473·
 2011 03  57464·
 2011 02  90472·
 2011 01  28441.
 2010 12 55449.
 2010 11 24430·
 2010 10 59417.
 2010 09 83450·
 2010 08 69473·
 2010 07 15489·
 2010 06 49508.
 2010 05 50468.
 2010 04 7530·
 2010 03 88539·
 2010 02 47517·
 2010 01 49484·
 2009 12  19502·
 2009 11  23449.
 2009 10  67471·
 2009 09  23469·
 2009 08  81462.
 2009 07  29449·
 2009 06  47490·
 2009 05  42492·
 2009 04  94444·
 2009 03  35459·
 2009 02  49477·
 2009 01  0406·
 2008 12 83433·
 2008 11 99481·
 2008 10 61486.
 2008 09 16488·
 2008 08 97494·
 2008 07 3463.
 2008 06 97427·
 2008 05 34467·
 2008 04 13465.
 2008 03 53439·
 2008 02 93425·
 2008 01 23414.
 2007 12  31389.
 2007 11  80468.
 2007 10  14452·
 2007 09  78532.
 2007 08  76504.
 2007 07  42475·
 2007 06  46426·
 2007 05  18417.
 2007 04  99460.
 2007 03  20464·
 2007 02  3500·
 2007 01  86467·
 2006 12 75421.
 2006 11 21432.
 2006 10 23405.
 2006 09 52442·
 2006 08 4447.
 2006 07 76406.
 2006 06 68420.
 2006 05 10427.
 2006 04 12464·
 2006 03 42517.
 2006 02 27523.
 2006 01 80482·
 2005 12  50510·
 2005 11  1469.
 2005 10  12446.
 2005 09  4469.
 2005 08  92483.
 2005 07  59437.
 2005 06  61405·
 2005 05  53426.
 2005 04  39432·
 2005 03  47453.
 2005 02  37446·
 2005 01  21416.
 2004 12 16417.
 2004 11 24420·
 2004 10 29458.
 2004 09 26449.
 2004 08 74472.
 2004 07 69456·
 2004 06 48496·
 2004 05 13458·
 2004 04 89434·
 2004 03 90395·
 2004 02 32336.
 2004 01 52363·
 2003 12  60420·
 2003 11  19410.
 2003 10  46434·
 2003 09  35454.
 2003 08  13440·
 2003 07  12468·
 2003 06  76472·
 2003 05  83463·
 2003 04  98455.
 2003 03  51442.
 2003 02  35481·
 2003 01  39477·
 2002 12 91494·
 2002 11 41467.
 2002 10 62510.
 2002 09 72555.
 2002 08 92516·
 2002 07 16549.
 2002 06 19500.
 2002 05 78501·
 2002 04 27536·
 2002 03 32520.
 2002 02 94600·
 2002 01 74578.
 2001 12  45608·
 2001 11  70514·
 2001 10  0474·
 2001 09  5495.
 2001 08  23459·
 2001 07  37523.
 2001 06  75523.
 2001 05  41519.
 2001 04  61563·
 2001 03  64522.
 2001 02  82566·
 2001 01  74576.
 2000 12 84598.
 2000 11 9624.
 2000 10 8528.
 2000 09 25482·
 2000 08 42459·
 2000 07 52460·
 2000 06 67483.
 2000 05 38512.
 2000 04 11548·
 2000 03 1537.
 2000 02 96544.
 2000 01 81573.
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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 Health services, except hospitals: 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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