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 Series Title: Men, employed government wage and salary workers in Lesiure and hospitality: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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 2012 04 61240·
 2012 03 72198.
 2012 02 58192·
 2012 01 90191.
 2011 12  63210.
 2011 11  76184.
 2011 10  27223·
 2011 09  46206·
 2011 08  45213.
 2011 07  90285·
 2011 06  9280.
 2011 05  14241·
 2011 04  56229·
 2011 03  97211·
 2011 02  17190.
 2011 01  37174.
 2010 12 71166·
 2010 11 3183.
 2010 10 90224.
 2010 09 85239·
 2010 08 92284.
 2010 07 41321.
 2010 06 90298·
 2010 05 51248.
 2010 04 42226.
 2010 03 65186·
 2010 02 4174.
 2010 01 55133.
 2009 12  74171·
 2009 11  59159·
 2009 10  47202·
 2009 09  40216.
 2009 08  62283·
 2009 07  29326.
 2009 06  55258·
 2009 05  77227·
 2009 04  6201.
 2009 03  6186·
 2009 02  92195·
 2009 01  59197.
 2008 12 33162·
 2008 11 47152·
 2008 10 45193.
 2008 09 5225.
 2008 08 91329.
 2008 07 34351.
 2008 06 28308.
 2008 05 59264.
 2008 04 58184.
 2008 03 74193.
 2008 02 78210·
 2008 01 92227.
 2007 12  33227·
 2007 11  97210.
 2007 10  59233·
 2007 09  95233.
 2007 08  41294.
 2007 07  61320·
 2007 06  57290·
 2007 05  90238.
 2007 04  33226·
 2007 03  47245.
 2007 02  87237·
 2007 01  20211.
 2006 12 84211·
 2006 11 63209.
 2006 10 85206.
 2006 09 53225·
 2006 08 95304·
 2006 07 39329.
 2006 06 15303·
 2006 05 86249·
 2006 04 91191.
 2006 03 32208·
 2006 02 65179.
 2006 01 35189.
 2005 12  23209·
 2005 11  24203.
 2005 10  47221.
 2005 09  46237·
 2005 08  65324·
 2005 07  21361·
 2005 06  0372.
 2005 05  88276·
 2005 04  19247.
 2005 03  56252.
 2005 02  86248·
 2005 01  54246·
 2004 12 10259.
 2004 11 84252.
 2004 10 93256.
 2004 09 65268·
 2004 08 87305·
 2004 07 88332·
 2004 06 35306·
 2004 05 64264.
 2004 04 27246·
 2004 03 74224.
 2004 02 48227·
 2004 01 19214.
 2003 12  30205.
 2003 11  73190·
 2003 10  97216·
 2003 09  27178·
 2003 08  21242·
 2003 07  43289.
 2003 06  68285·
 2003 05  5204.
 2003 04  50207.
 2003 03  65211·
 2003 02  75204.
 2003 01  97218.
 2002 12 94204·
 2002 11 45190·
 2002 10 55196.
 2002 09 73201.
 2002 08 52290.
 2002 07 16277·
 2002 06 72223.
 2002 05 28185·
 2002 04 49173.
 2002 03 34178·
 2002 02 13192.
 2002 01 79212.
 2001 12  37191.
 2001 11  80192.
 2001 10  91237.
 2001 09  72222·
 2001 08  90304.
 2001 07  61260·
 2001 06  45260·
 2001 05  75211·
 2001 04  10228.
 2001 03  9190.
 2001 02  36192·
 2001 01  82203·
 2000 12 21204·
 2000 11 81245.
 2000 10 54240·
 2000 09 14225.
 2000 08 73246·
 2000 07 58266·
 2000 06 10238.
 2000 05 13185·
 2000 04 43170.
 2000 03 46150.
 2000 02 43168·
 2000 01 49183·
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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: Men, employed government wage and salary workers in Lesiure and hospitality: 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

Make charts for Okun's Law and Phillip's Curve

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