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 Series Title: Employed: 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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 2012 04 57596.
 2012 03 38579·
 2012 02 82517.
 2012 01 90532.
 2011 12  91511·
 2011 11  12512.
 2011 10  85521.
 2011 09  71513·
 2011 08  11504.
 2011 07  4539·
 2011 06  9544·
 2011 05  69583·
 2011 04  66613·
 2011 03  94596·
 2011 02  64578.
 2011 01  28592.
 2010 12 32601·
 2010 11 90598.
 2010 10 91598·
 2010 09 18532.
 2010 08 9498·
 2010 07 23480.
 2010 06 50467·
 2010 05 33537·
 2010 04 23543·
 2010 03 50507·
 2010 02 31565·
 2010 01 92618.
 2009 12  24585.
 2009 11  52669.
 2009 10  46616·
 2009 09  40509.
 2009 08  87505·
 2009 07  36456.
 2009 06  33458.
 2009 05  44596·
 2009 04  13577·
 2009 03  34567·
 2009 02  54546.
 2009 01  0509.
 2008 12 27497.
 2008 11 3537·
 2008 10 99497·
 2008 09 26487·
 2008 08 80471·
 2008 07 23452·
 2008 06 79439·
 2008 05 67459.
 2008 04 47520.
 2008 03 2525·
 2008 02 33543.
 2008 01 92509.
 2007 12  29492.
 2007 11  71493.
 2007 10  23462·
 2007 09  94424.
 2007 08  50460.
 2007 07  87507.
 2007 06  38469.
 2007 05  94462·
 2007 04  61482.
 2007 03  32428.
 2007 02  90405.
 2007 01  35415.
 2006 12 38389·
 2006 11 12413.
 2006 10 17448.
 2006 09 87432·
 2006 08 81447.
 2006 07 58417·
 2006 06 82417·
 2006 05 43469·
 2006 04 15474·
 2006 03 28432·
 2006 02 72480.
 2006 01 22421.
 2005 12  91446·
 2005 11  4423.
 2005 10  2457.
 2005 09  70414.
 2005 08  84423.
 2005 07  91450.
 2005 06  9430·
 2005 05  54438.
 2005 04  94430·
 2005 03  21410.
 2005 02  54392.
 2005 01  70418·
 2004 12 48453·
 2004 11 51464.
 2004 10 28489.
 2004 09 36505·
 2004 08 94475.
 2004 07 63518.
 2004 06 42528·
 2004 05 96423.
 2004 04 10469.
 2004 03 64495.
 2004 02 34426·
 2004 01 19437.
 2003 12  94400·
 2003 11  84395.
 2003 10  67419·
 2003 09  0446·
 2003 08  73434·
 2003 07  81400·
 2003 06  29440·
 2003 05  58434·
 2003 04  97460.
 2003 03  36457·
 2003 02  33442.
 2003 01  37490·
 2002 12 41446·
 2002 11 56431·
 2002 10 17403·
 2002 09 6374.
 2002 08 6401.
 2002 07 73391·
 2002 06 44426.
 2002 05 60425.
 2002 04 16445.
 2002 03 42415.
 2002 02 1462.
 2002 01 16482.
 2001 12  23466·
 2001 11  47452·
 2001 10  2408.
 2001 09  20380·
 2001 08  2394.
 2001 07  93354·
 2001 06  84307·
 2001 05  41309.
 2001 04  53305.
 2001 03  12340.
 2001 02  11397.
 2001 01  73412·
 2000 12 2366.
 2000 11 61366·
 2000 10 69374·
 2000 09 34361.
 2000 08 99338.
 2000 07 21340.
 2000 06 73309.
 2000 05 69335·
 2000 04 19357·
 2000 03 99359.
 2000 02 59340·
 2000 01 48277·
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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: Hospitals, Hispanic or Latino: 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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