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 Series Title: Total employed government wage and salary workers in Education and health services: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Yearly Chart  |  Excel file  |  Self-updating Excel file
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 2000 01 1310224·
 2000 02 4710417.
 2000 03 7610452·
 2000 04 9710266·
 2000 05 299842·
 2000 06 959208.
 2000 07 208647.
 2000 08 608824·
 2000 09 489747.
 2000 10 799975.
 2000 11 310245·
 2000 12 5910320·
 2001 01  2210185·
 2001 02  8010295.
 2001 03  3710235·
 2001 04  3910015.
 2001 05  259896·
 2001 06  59367·
 2001 07  609367·
 2001 08  689087.
 2001 09  599882.
 2001 10  879967·
 2001 11  3510094·
 2001 12  4110266.
 2002 01 4710200·
 2002 02 8010490·
 2002 03 5010284·
 2002 04 7610231.
 2002 05 4210207·
 2002 06 689598.
 2002 07 189165·
 2002 08 189404.
 2002 09 1810195·
 2002 10 5710348·
 2002 11 7610349·
 2002 12 3710300.
 2003 01  7510421.
 2003 02  7910410·
 2003 03  8910284.
 2003 04  2510330.
 2003 05  3910239.
 2003 06  899748·
 2003 07  439134·
 2003 08  39301.
 2003 09  6110104.
 2003 10  7010373.
 2003 11  5110258.
 2003 12  1410317.
 2004 01 1510153.
 2004 02 2910216.
 2004 03 5110537.
 2004 04 2810755·
 2004 05 310634.
 2004 06 9610076·
 2004 07 79267.
 2004 08 389332·
 2004 09 4910191.
 2004 10 2910447.
 2004 11 610599.
 2004 12 6510607·
 2005 01  410533·
 2005 02  1010358·
 2005 03  6110542.
 2005 04  5110720·
 2005 05  4310805·
 2005 06  449901·
 2005 07  109477·
 2005 08  669539·
 2005 09  6710396·
 2005 10  6410653.
 2005 11  1510577.
 2005 12  510580.
 2006 01 110344.
 2006 02 2610284·
 2006 03 6510465.
 2006 04 8610570·
 2006 05 9510567.
 2006 06 139778·
 2006 07 739575·
 2006 08 549779.
 2006 09 2610545.
 2006 10 2910857.
 2006 11 7611026·
 2006 12 7710869·
 2007 01  9211025.
 2007 02  810975·
 2007 03  3811014.
 2007 04  5011032.
 2007 05  2111026·
 2007 06  510296.
 2007 07  459817.
 2007 08  9310306.
 2007 09  6111030·
 2007 10  310937.
 2007 11  1210995.
 2007 12  4810656·
 2008 01 8910726·
 2008 02 811001·
 2008 03 7611164.
 2008 04 8511429.
 2008 05 411236·
 2008 06 5210543.
 2008 07 010013·
 2008 08 9910593.
 2008 09 3311152·
 2008 10 9111553.
 2008 11 7111444.
 2008 12 911160·
 2009 01  2610990.
 2009 02  710971·
 2009 03  311032.
 2009 04  5811313·
 2009 05  5711261·
 2009 06  610582.
 2009 07  3410002.
 2009 08  169999.
 2009 09  2810736.
 2009 10  2111199.
 2009 11  2611309.
 2009 12  7711135.
 2010 01 6311074.
 2010 02 811012·
 2010 03 6810994·
 2010 04 6011315·
 2010 05 1410936·
 2010 06 4810513.
 2010 07 729823.
 2010 08 99732·
 2010 09 5510713·
 2010 10 4910675·
 2010 11 7610702·
 2010 12 9410667·
 2011 01  8810478·
 2011 02  4110652·
 2011 03  4310809·
 2011 04  810870.
 2011 05  3610636.
 2011 06  8210080.
 2011 07  609382.
 2011 08  719524·
 2011 09  5210364·
 2011 10  5310505.
 2011 11  4210575·
 2011 12  2710593.
 2012 01 910443·
 2012 02 6110666·
 2012 03 2510547.
 2012 04 4410468.
 2012 05 910444·
 2012 06 379510·
 2012 07 739184.
 2012 08 189705·
 2012 09 7710558·
 2012 10 3810651·
 2012 11 7410507.
 2012 12 6710563.
 2013 01  6310552.
 2013 02  4610677.
 2013 03  3910737·
 2013 04  3510623.
 2013 05  4310547·
 2013 06  679649·
 2013 07  89177.
 2013 08  929708.
 2013 09  1710216.
 2013 10  3310214.
 2013 11  4410361·
 2013 12  3110319.
 2014 01 1010603·
 2014 02 010657·
 2014 03 3310726·
 2014 04 7310636·
 2014 05 7310341·
 2014 06 519595.
 2014 07 899273.
 2014 08 609391·
 2014 09 829961·
 2014 10 9210261·
 2014 11 5010403.
 2014 12 6210351·
 2015 01  3610816.
 2015 02  5411031·
 2015 03  7810861·
 2015 04  7410908.
 2015 05  6110864·
 2015 06  9510031·
 2015 07  639229.
 2015 08  139463·
 2015 09  810162·
 2015 10  9510569.
 2015 11  1510932·
 2015 12  2610833·
 2016 01 5110948·
 2016 02 6211077.
 2016 03 7411017.
 2016 04 7911009·
 2016 05 9110898.
 2016 06 269723.
 2016 07 39390·
 2016 08 699947.
 2016 09 5510631.
 2016 10 4610844·
 2016 11 8811008·
 2016 12 1410852.
 2017 01  9110813·


 2017 02  211167·
 2017 03  4411090·
 2017 04  5710991·
 2017 05  7511133.
 2017 06  010101.
 2017 07  79699.
 2017 08  699802·
 2017 09  810514·
 2017 10  7410552.
 2017 11  4210693.
 2017 12  4310664·
 2018 01 1610847·
 2018 02 7811214.
 2018 03 3511102.
 2018 04 9910956·
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US Unemployment Rate: Alternative Measures of Labor Underutilization

Charts

Unemployment Rate and 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 Education and health services: 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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