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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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 2012 04 75189.
 2012 03 27153.
 2012 02 88141·
 2012 01 79166.
 2011 12  46142.
 2011 11  36153.
 2011 10  0185·
 2011 09  16181.
 2011 08  46228·
 2011 07  6279·
 2011 06  75258.
 2011 05  14157.
 2011 04  24173·
 2011 03  19153.
 2011 02  26151·
 2011 01  18159·
 2010 12 58126·
 2010 11 81135·
 2010 10 92142.
 2010 09 96151.
 2010 08 46223.
 2010 07 23239·
 2010 06 35238·
 2010 05 42202.
 2010 04 15176·
 2010 03 3180.
 2010 02 42160.
 2010 01 77176.
 2009 12  15162.
 2009 11  3189.
 2009 10  28182·
 2009 09  43204.
 2009 08  21279.
 2009 07  28252·
 2009 06  29253.
 2009 05  10179·
 2009 04  33176.
 2009 03  11171·
 2009 02  9170·
 2009 01  72138·
 2008 12 77129.
 2008 11 7148·
 2008 10 55147.
 2008 09 49161·
 2008 08 4227·
 2008 07 0253.
 2008 06 81214·
 2008 05 84185·
 2008 04 88178·
 2008 03 95198.
 2008 02 24203.
 2008 01 46155·
 2007 12  31184.
 2007 11  24162·
 2007 10  47153·
 2007 09  31211·
 2007 08  57245·
 2007 07  43264·
 2007 06  39210·
 2007 05  56196.
 2007 04  17163·
 2007 03  35178·
 2007 02  11204.
 2007 01  66183·
 2006 12 86154·
 2006 11 6179·
 2006 10 3179·
 2006 09 30188.
 2006 08 65240.
 2006 07 87300.
 2006 06 76240·
 2006 05 43213.
 2006 04 80179·
 2006 03 35145·
 2006 02 19142.
 2006 01 23134.
 2005 12  79140.
 2005 11  33150·
 2005 10  44172·
 2005 09  14184·
 2005 08  40293.
 2005 07  86308·
 2005 06  90245·
 2005 05  86163·
 2005 04  61157·
 2005 03  26138·
 2005 02  19135·
 2005 01  33152.
 2004 12 70138·
 2004 11 10153·
 2004 10 19162·
 2004 09 74156.
 2004 08 15229.
 2004 07 19252.
 2004 06 3258·
 2004 05 54174·
 2004 04 73169·
 2004 03 60198·
 2004 02 10160·
 2004 01 40162·
 2003 12  44169·
 2003 11  65155.
 2003 10  1149·
 2003 09  28159.
 2003 08  53241·
 2003 07  90237·
 2003 06  65209·
 2003 05  36147·
 2003 04  50143·
 2003 03  18150·
 2003 02  15145.
 2003 01  9159·
 2002 12 12142·
 2002 11 54148.
 2002 10 88148.
 2002 09 16183.
 2002 08 37244·
 2002 07 30282·
 2002 06 48220·
 2002 05 51145.
 2002 04 53143·
 2002 03 3155.
 2002 02 82155·
 2002 01 33170·
 2001 12  9164·
 2001 11  55173.
 2001 10  3166.
 2001 09  6195·
 2001 08  80281.
 2001 07  92260.
 2001 06  50260·
 2001 05  39160.
 2001 04  68133.
 2001 03  45134·
 2001 02  84152.
 2001 01  27140·
 2000 12 96150·
 2000 11 72133·
 2000 10 95155.
 2000 09 89141.
 2000 08 17231·
 2000 07 55272.
 2000 06 94222.
 2000 05 68128.
 2000 04 490.
 2000 03 99101·
 2000 02 20126·
 2000 01 35182.
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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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