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 Series Title: Unemployment Level: Nonagricultural Private Wage and Salary Workers, Real Estate: NSA
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 2012 04 73125.
 2012 03 98155.
 2012 02 94144·
 2012 01 87142·
 2011 12  30128·
 2011 11  76128·
 2011 10  82114·
 2011 09  33103·
 2011 08  97140·
 2011 07  96165.
 2011 06  15156·
 2011 05  22167.
 2011 04  24173.
 2011 03  40175·
 2011 02  6164.
 2011 01  98164.
 2010 12 87160·
 2010 11 14141.
 2010 10 92127.
 2010 09 29121.
 2010 08 87136.
 2010 07 5199.
 2010 06 36109.
 2010 05 10100·
 2010 04 48114.
 2010 03 6139·
 2010 02 26123·
 2010 01 60155.
 2009 12  21178.
 2009 11  62165·
 2009 10  76171.
 2009 09  23157.
 2009 08  82126·
 2009 07  25148·
 2009 06  23129.
 2009 05  69151.
 2009 04  30157.
 2009 03  26161.
 2009 02  29145.
 2009 01  90140·
 2008 12 92134·
 2008 11 23122.
 2008 10 8486.
 2008 09 874·
 2008 08 1796.
 2008 07 9784·
 2008 06 99121·
 2008 05 6593.
 2008 04 8186·
 2008 03 5480·
 2008 02 12100.
 2008 01 3053·
 2007 12  8589·
 2007 11  2772·
 2007 10  8794·
 2007 09  9995·
 2007 08  53106·
 2007 07  7266.
 2007 06  1165.
 2007 05  9054·
 2007 04  3759.
 2007 03  7094·
 2007 02  98104.
 2007 01  4781.
 2006 12 1188.
 2006 11 2878.
 2006 10 8531·
 2006 09 4065.
 2006 08 7647.
 2006 07 7862·
 2006 06 3580.
 2006 05 6260.
 2006 04 5751.
 2006 03 7763.
 2006 02 3552.
 2006 01 3270.
 2005 12  552.
 2005 11  667.
 2005 10  070.
 2005 09  9652·
 2005 08  9675.
 2005 07  7161.
 2005 06  6677.
 2005 05  2166·
 2005 04  2865·
 2005 03  558.
 2005 02  9767·
 2005 01  373.
 2004 12 2958·
 2004 11 6480.
 2004 10 8066·
 2004 09 5992·
 2004 08 4856·
 2004 07 3064·
 2004 06 2894·
 2004 05 3556·
 2004 04 6176.
 2004 03 876·
 2004 02 8065·
 2004 01 080·
 2003 12  6765.
 2003 11  3284.
 2003 10  9895·
 2003 09  4771.
 2003 08  9469.
 2003 07  5871.
 2003 06  7081·
 2003 05  9660.
 2003 04  9053.
 2003 03  6667·
 2003 02  948·
 2003 01  9186.
 2002 12 3172.
 2002 11 6571.
 2002 10 5365.
 2002 09 156·
 2002 08 1873.
 2002 07 8578.
 2002 06 6487.
 2002 05 2164·
 2002 04 7679·
 2002 03 8358.
 2002 02 3156.
 2002 01 6858.
 2001 12  5547·
 2001 11  4152.
 2001 10  6747·
 2001 09  8852.
 2001 08  3166·
 2001 07  6658.
 2001 06  965·
 2001 05  5043.
 2001 04  558·
 2001 03  8839.
 2001 02  2051·
 2001 01  4850.
 2000 12 161·
 2000 11 6544·
 2000 10 8849.
 2000 09 039·
 2000 08 6956.
 2000 07 7955.
 2000 06 2750·
 2000 05 5137.
 2000 04 8744·
 2000 03 3645·
 2000 02 7339·
 2000 01 7149·
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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: Unemployment Level: Nonagricultural Private Wage and Salary Workers, Real Estate: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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