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 Series Title: Employed: Health service, except hospitals, Hispanic or Latino: NSA
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 2012 04 371132.
 2012 03 331172·
 2012 02 981077·
 2012 01 291038.
 2011 12  47984.
 2011 11  741089.
 2011 10  361044·
 2011 09  861055·
 2011 08  601164.
 2011 07  511086.
 2011 06  121125.
 2011 05  791080.
 2011 04  281013·
 2011 03  461004·
 2011 02  391005·
 2011 01  52952·
 2010 12 25977·
 2010 11 661032.
 2010 10 561063·
 2010 09 751061.
 2010 08 521048.
 2010 07 411023·
 2010 06 251026.
 2010 05 421031.
 2010 04 341027.
 2010 03 281077.
 2010 02 341043·
 2010 01 711073·
 2009 12  231003·
 2009 11  101027.
 2009 10  951071.
 2009 09  71058.
 2009 08  92993.
 2009 07  93940·
 2009 06  48880.
 2009 05  19933.
 2009 04  43984.
 2009 03  81000.
 2009 02  541027·
 2009 01  11047·
 2008 12 11056·
 2008 11 12955·
 2008 10 1979.
 2008 09 73966·
 2008 08 16943·
 2008 07 87892.
 2008 06 3917·
 2008 05 78909.
 2008 04 65955·
 2008 03 39962·
 2008 02 98925.
 2008 01 85960.
 2007 12  46888·
 2007 11  0935.
 2007 10  47938.
 2007 09  89944·
 2007 08  86956.
 2007 07  27945.
 2007 06  40924·
 2007 05  9918.
 2007 04  34898·
 2007 03  2903.
 2007 02  88890·
 2007 01  90885.
 2006 12 67843·
 2006 11 30859.
 2006 10 31847·
 2006 09 99815.
 2006 08 85840·
 2006 07 43806.
 2006 06 30835·
 2006 05 31800.
 2006 04 13750.
 2006 03 99834.
 2006 02 74815.
 2006 01 6841.
 2005 12  1853·
 2005 11  79876.
 2005 10  76872·
 2005 09  67897·
 2005 08  25887.
 2005 07  90797.
 2005 06  73759.
 2005 05  85708·
 2005 04  86680.
 2005 03  62740·
 2005 02  28748.
 2005 01  52753.
 2004 12 8759.
 2004 11 53766·
 2004 10 29804.
 2004 09 87843·
 2004 08 42788·
 2004 07 45825.
 2004 06 90735·
 2004 05 36752·
 2004 04 63755·
 2004 03 44768·
 2004 02 47733.
 2004 01 68675.
 2003 12  73654.
 2003 11  81636·
 2003 10  65690·
 2003 09  75726·
 2003 08  95738.
 2003 07  14795·
 2003 06  30781·
 2003 05  79721·
 2003 04  81695.
 2003 03  24702·
 2003 02  56705·
 2003 01  22733·
 2002 12 7644·
 2002 11 17659·
 2002 10 81706.
 2002 09 73694·
 2002 08 71650·
 2002 07 26662·
 2002 06 66668.
 2002 05 28670·
 2002 04 0649.
 2002 03 6693·
 2002 02 2689.
 2002 01 5726.
 2001 12  45760·
 2001 11  40693·
 2001 10  99678.
 2001 09  48625.
 2001 08  80622.
 2001 07  34635·
 2001 06  97635.
 2001 05  26602.
 2001 04  6592·
 2001 03  21580·
 2001 02  58608.
 2001 01  34610.
 2000 12 48653.
 2000 11 55636·
 2000 10 69569.
 2000 09 91565.
 2000 08 57554.
 2000 07 20495.
 2000 06 45536·
 2000 05 40520·
 2000 04 9507.
 2000 03 21560·
 2000 02 22595·
 2000 01 52607.
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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: Health service, except hospitals, Hispanic or Latino: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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