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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 610224·
 2000 02 2910417.
 2000 03 2310452.
 2000 04 7710266.
 2000 05 89842.
 2000 06 299208.
 2000 07 628647.
 2000 08 538824.
 2000 09 329747·
 2000 10 859975.
 2000 11 5810245·
 2000 12 8310320.
 2001 01  2910185.
 2001 02  7710295·
 2001 03  2510235·
 2001 04  1310015.
 2001 05  749896.
 2001 06  119367·
 2001 07  999367·
 2001 08  119087.
 2001 09  689882·
 2001 10  219967.
 2001 11  4510094·
 2001 12  7110266.
 2002 01 3710200.
 2002 02 6110490·
 2002 03 4910284.
 2002 04 1210231.
 2002 05 3010207·
 2002 06 159598·
 2002 07 249165.
 2002 08 809404.
 2002 09 2210195.
 2002 10 8810348·
 2002 11 910349·
 2002 12 4210300.
 2003 01  1510421·
 2003 02  1210410.
 2003 03  6710284·
 2003 04  9210330·
 2003 05  3410239·
 2003 06  459748·
 2003 07  859134.
 2003 08  519301·
 2003 09  2910104.
 2003 10  6610373·
 2003 11  7610258·
 2003 12  6210317.
 2004 01 7610153·
 2004 02 8410216.
 2004 03 7810537·
 2004 04 9510755.
 2004 05 7410634.
 2004 06 3010076·
 2004 07 549267·
 2004 08 439332·
 2004 09 5010191·
 2004 10 6010447.
 2004 11 9110599.
 2004 12 2510607.
 2005 01  5310533.
 2005 02  5610358.
 2005 03  410542.
 2005 04  8610720·
 2005 05  5910805.
 2005 06  249901.
 2005 07  299477·
 2005 08  959539.
 2005 09  6910396·
 2005 10  9710653·
 2005 11  3010577·
 2005 12  4710580·
 2006 01 810344.
 2006 02 3110284·
 2006 03 9410465.
 2006 04 5910570·
 2006 05 2610567.
 2006 06 89778·
 2006 07 349575.
 2006 08 769779.
 2006 09 9810545·
 2006 10 3410857·
 2006 11 8911026·
 2006 12 6810869·
 2007 01  2611025·
 2007 02  4010975.
 2007 03  2111014·
 2007 04  2911032·
 2007 05  3311026.
 2007 06  8510296.
 2007 07  179817·
 2007 08  7710306·
 2007 09  7211030·
 2007 10  4810937.
 2007 11  9210995·
 2007 12  5810656·
 2008 01 1710726·
 2008 02 3711001.
 2008 03 8211164·
 2008 04 3911429.
 2008 05 6811236.
 2008 06 8410543.
 2008 07 5110013.
 2008 08 1510593·
 2008 09 5211152.
 2008 10 4511553·
 2008 11 8711444.
 2008 12 611160.
 2009 01  1810990.
 2009 02  110971.
 2009 03  211032.
 2009 04  5511313.
 2009 05  4111261.
 2009 06  6010582·
 2009 07  3410002.
 2009 08  329999.
 2009 09  2310736·
 2009 10  5311199·
 2009 11  4611309.
 2009 12  3011135·
 2010 01 8811074·
 2010 02 3711012.
 2010 03 2710994.
 2010 04 6911315.
 2010 05 8710936.
 2010 06 9310513·
 2010 07 889823·
 2010 08 939732·
 2010 09 9510713·
 2010 10 2710675·
 2010 11 6910702·
 2010 12 7210667.
 2011 01  1310478·
 2011 02  7310652.
 2011 03  3110809·
 2011 04  9810870.
 2011 05  6710636·
 2011 06  8510080.
 2011 07  639382·
 2011 08  929524·
 2011 09  510364.
 2011 10  4710505·
 2011 11  7710575·
 2011 12  9810593·
 2012 01 510443·
 2012 02 6410666.
 2012 03 1210547·
 2012 04 8410468.
 2012 05 6610444·
 2012 06 689510·
 2012 07 309184.
 2012 08 459705·
 2012 09 1310558.
 2012 10 1610651·
 2012 11 1910507·
 2012 12 010563·
 2013 01  9810552·
 2013 02  8910677·
 2013 03  9310737·
 2013 04  9310623.
 2013 05  9410547·
 2013 06  949649·
 2013 07  889177.
 2013 08  949708.
 2013 09  410216·
 2013 10  6310214·
 2013 11  6910361.
 2013 12  9610319.
 2014 01 5210603.
 2014 02 5310657·
 2014 03 2210726·
 2014 04 1810636.
 2014 05 8910341.
 2014 06 449595.
 2014 07 609273·
 2014 08 59391.
 2014 09 899961.
 2014 10 4410261·
 2014 11 2310403.
 2014 12 2610351·
 2015 01  5410816·
 2015 02  8511031·
 2015 03  7210861·
 2015 04  7510908·
 2015 05  910864.
 2015 06  2210031·
 2015 07  959229·
 2015 08  719463·
 2015 09  410162.
 2015 10  3710569.
 2015 11  510932.
 2015 12  5810833·
 2016 01 1410948.
 2016 02 3811077.
 2016 03 4111017·
 2016 04 511009·
 2016 05 4110898.
 2016 06 569723·
 2016 07 649390.
 2016 08 89947.
 2016 09 810631·
 2016 10 4710844.
 2016 11 6411008·
 2016 12 8310852.
 2017 01  6810813·
 2017 02  9411167.
 2017 03  5211090.
 2017 04  7710991.
 2017 05  9411133·
 2017 06  210101.


 2017 07  679699.
 2017 08  579802.
 2017 09  8910514·
 2017 10  310552·
 2017 11  7210693·
 2017 12  1910664.
 2018 01 7610847.
 2018 02 5511214.
 2018 03 5411102.
 2018 04 8110956.
 2018 05 610691·
 2018 06 389807·
 2018 07 269283.
 2018 08 879726.
 2018 09 5510161·
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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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