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 Series Title: Women, 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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 2000 01 96182.
 2000 02 71126·
 2000 03 89101.
 2000 04 8990·
 2000 05 37128.
 2000 06 99222·
 2000 07 43272·
 2000 08 67231.
 2000 09 51141·
 2000 10 32155.
 2000 11 4133·
 2000 12 50150·
 2001 01  88140·
 2001 02  51152.
 2001 03  86134.
 2001 04  82133.
 2001 05  23160.
 2001 06  63260.
 2001 07  25260.
 2001 08  32281·
 2001 09  58195.
 2001 10  0166·
 2001 11  85173.
 2001 12  95164.
 2002 01 16170·
 2002 02 18155.
 2002 03 54155·
 2002 04 89143·
 2002 05 48145·
 2002 06 98220.
 2002 07 44282.
 2002 08 58244.
 2002 09 31183·
 2002 10 49148·
 2002 11 94148·
 2002 12 72142·
 2003 01  64159.
 2003 02  1145·
 2003 03  67150·
 2003 04  26143·
 2003 05  73147·
 2003 06  10209.
 2003 07  49237·
 2003 08  37241·
 2003 09  8159·
 2003 10  59149.
 2003 11  55155.
 2003 12  50169·
 2004 01 44162·
 2004 02 54160.
 2004 03 22198.
 2004 04 35169.
 2004 05 82174·
 2004 06 27258.
 2004 07 13252·
 2004 08 85229·
 2004 09 48156·
 2004 10 34162.
 2004 11 15153·
 2004 12 20138.
 2005 01  91152.
 2005 02  58135·
 2005 03  43138.
 2005 04  84157·
 2005 05  87163·
 2005 06  4245·
 2005 07  33308·
 2005 08  45293·
 2005 09  36184·
 2005 10  4172.
 2005 11  48150·
 2005 12  99140.
 2006 01 65134·
 2006 02 16142·
 2006 03 77145.
 2006 04 63179·
 2006 05 23213·
 2006 06 19240.
 2006 07 33300·
 2006 08 83240.
 2006 09 85188·
 2006 10 23179·
 2006 11 52179.
 2006 12 27154.
 2007 01  52183.
 2007 02  57204.
 2007 03  99178·
 2007 04  90163.
 2007 05  50196.
 2007 06  78210.
 2007 07  60264.
 2007 08  91245·
 2007 09  29211·
 2007 10  69153·
 2007 11  50162.
 2007 12  74184·
 2008 01 63155.
 2008 02 36203·
 2008 03 5198·
 2008 04 7178·
 2008 05 55185.
 2008 06 10214.
 2008 07 89253.
 2008 08 86227.
 2008 09 28161·
 2008 10 48147·
 2008 11 89148·
 2008 12 29129.
 2009 01  33138.
 2009 02  32170·
 2009 03  19171·
 2009 04  80176.
 2009 05  47179.
 2009 06  68253·
 2009 07  16252·
 2009 08  9279·
 2009 09  68204.
 2009 10  88182.
 2009 11  43189.
 2009 12  10162.
 2010 01 23176·
 2010 02 49160.
 2010 03 88180·
 2010 04 1176.
 2010 05 62202·
 2010 06 32238·
 2010 07 65239.
 2010 08 28223·
 2010 09 60151.
 2010 10 45142·
 2010 11 10135·
 2010 12 59126·
 2011 01  18159·
 2011 02  17151.
 2011 03  87153.
 2011 04  88173·
 2011 05  61157.
 2011 06  7258.
 2011 07  83279.
 2011 08  34228·
 2011 09  40181.
 2011 10  96185·
 2011 11  13153.
 2011 12  42142·
 2012 01 29166.


 2012 02 90141.
 2012 03 12153.
 2012 04 80189·
 2012 05 30168.
 2012 06 22252·
 2012 07 45301.
 2012 08 44201.
 2012 09 67181.
 2012 10 47177·
 2012 11 99154·
 2012 12 51153·
 2013 01  91171·
 2013 02  48184.
 2013 03  88178.
 2013 04  47166.
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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: Women, 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

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