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 Series Title: Employment Level: Construction and Extraction Occupations in Leisure and Hospitality Industry: NSA
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 2012 04 9223·
 2012 03 1122.
 2012 02 2820.
 2012 01 5824·
 2011 12  3943·
 2011 11  1438·
 2011 10  2625.
 2011 09  4820.
 2011 08  3416.
 2011 07  9622·
 2011 06  528·
 2011 05  1842·
 2011 04  2751.
 2011 03  4055.
 2011 02  8067·
 2011 01  1239.
 2010 12 9333·
 2010 11 5234·
 2010 10 8848.
 2010 09 9948.
 2010 08 3334·
 2010 07 6325.
 2010 06 9137·
 2010 05 7330.
 2010 04 7238·
 2010 03 3127·
 2010 02 7821·
 2010 01 5430.
 2009 12  6030.
 2009 11  3631.
 2009 10  6232·
 2009 09  8636.
 2009 08  7436·
 2009 07  8635·
 2009 06  8136.
 2009 05  3834.
 2009 04  1335.
 2009 03  1228·
 2009 02  9618·
 2009 01  319.
 2008 12 232.
 2008 11 7243·
 2008 10 9736·
 2008 09 135·
 2008 08 9336·
 2008 07 4532·
 2008 06 9633.
 2008 05 7741·
 2008 04 6035.
 2008 03 4032.
 2008 02 3215·
 2008 01 9918·
 2007 12  424.
 2007 11  8727·
 2007 10  6627.
 2007 09  6130·
 2007 08  5036.
 2007 07  4441.
 2007 06  8731·
 2007 05  8345·
 2007 04  4923.
 2007 03  9230·
 2007 02  838·
 2007 01  926·
 2006 12 7634.
 2006 11 3839·
 2006 10 6644.
 2006 09 747.
 2006 08 3233·
 2006 07 1325·
 2006 06 2520·
 2006 05 7316.
 2006 04 4127.
 2006 03 7434·
 2006 02 7225·
 2006 01 2438·
 2005 12  5541·
 2005 11  253.
 2005 10  2152.
 2005 09  653.
 2005 08  4858·
 2005 07  538.
 2005 06  948·
 2005 05  8847·
 2005 04  2136·
 2005 03  1445.
 2005 02  9943.
 2005 01  6326·
 2004 12 036.
 2004 11 8552.
 2004 10 7951.
 2004 09 5138.
 2004 08 3426·
 2004 07 038·
 2004 06 6139·
 2004 05 9555.
 2004 04 042·
 2004 03 6728.
 2004 02 8530·
 2004 01 6629·
 2003 12  9738.
 2003 11  1547·
 2003 10  1247.
 2003 09  5743·
 2003 08  5149.
 2003 07  337·
 2003 06  3146.
 2003 05  8737.
 2003 04  1255.
 2003 03  1236·
 2003 02  5452·
 2003 01  057.
 2002 12 5743.
 2002 11 4743·
 2002 10 1934·
 2002 09 6717.
 2002 08 8417·
 2002 07 4238·
 2002 06 9045.
 2002 05 7968.
 2002 04 2060·
 2002 03 5357·
 2002 02 5332.
 2002 01 5830.
 2001 12  1539.
 2001 11  6120.
 2001 10  2330.
 2001 09  4735.
 2001 08  4442·
 2001 07  7249·
 2001 06  3743·
 2001 05  1442.
 2001 04  846.
 2001 03  2033·
 2001 02  5723.
 2001 01  5525.
 2000 12 3132.
 2000 11 5934·
 2000 10 7250·
 2000 09 8937·
 2000 08 6634.
 2000 07 7345.
 2000 06 9529.
 2000 05 5931.
 2000 04 8628.
 2000 03 6718.
 2000 02 6327.
 2000 01 3542·
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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: Employment Level: Construction and Extraction Occupations in Leisure and Hospitality Industry: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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