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 Series Title: Employment Level: Professional, and Related Occupations in Nondurable Goods Manufacturing Industry: NSA
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 2012 04 10504.
 2012 03 75501·
 2012 02 62458.
 2012 01 87477·
 2011 12  88494·
 2011 11  9535.
 2011 10  91572·
 2011 09  8538·
 2011 08  14526.
 2011 07  22505·
 2011 06  2483·
 2011 05  9500·
 2011 04  38521·
 2011 03  97518.
 2011 02  7524.
 2011 01  34483.
 2010 12 36497·
 2010 11 40559.
 2010 10 46535.
 2010 09 53486·
 2010 08 7512.
 2010 07 83517·
 2010 06 81533.
 2010 05 59592·
 2010 04 77581·
 2010 03 81555.
 2010 02 0528.
 2010 01 71466·
 2009 12  97471·
 2009 11  18452·
 2009 10  15477·
 2009 09  34505.
 2009 08  42547·
 2009 07  0650·
 2009 06  64625·
 2009 05  17620.
 2009 04  12578·
 2009 03  57532.
 2009 02  11497·
 2009 01  13437.
 2008 12 33456·
 2008 11 47494·
 2008 10 43477.
 2008 09 43542.
 2008 08 55612·
 2008 07 52639.
 2008 06 74580·
 2008 05 50623.
 2008 04 53593·
 2008 03 78602.
 2008 02 40605.
 2008 01 3511·
 2007 12  28499.
 2007 11  57483.
 2007 10  6528.
 2007 09  96544·
 2007 08  6559.
 2007 07  45609.
 2007 06  58577.
 2007 05  49514.
 2007 04  36525.
 2007 03  24527.
 2007 02  10568.
 2007 01  6561.
 2006 12 95538.
 2006 11 1599·
 2006 10 0553·
 2006 09 36611.
 2006 08 81591·
 2006 07 8511·
 2006 06 90539.
 2006 05 33536·
 2006 04 22511·
 2006 03 0564.
 2006 02 68528·
 2006 01 16558·
 2005 12  67529.
 2005 11  60547·
 2005 10  48556·
 2005 09  29553·
 2005 08  91605·
 2005 07  94581·
 2005 06  67568·
 2005 05  42543·
 2005 04  96494·
 2005 03  33470.
 2005 02  89486·
 2005 01  48510·
 2004 12 5580.
 2004 11 36563·
 2004 10 0581.
 2004 09 67590.
 2004 08 71581·
 2004 07 83583·
 2004 06 14575.
 2004 05 43562.
 2004 04 68554·
 2004 03 80655·
 2004 02 68597.
 2004 01 45638.
 2003 12  96625·
 2003 11  60568·
 2003 10  27623.
 2003 09  67632·
 2003 08  82648·
 2003 07  79654·
 2003 06  77649·
 2003 05  28599·
 2003 04  74630.
 2003 03  19641.
 2003 02  31605·
 2003 01  73596.
 2002 12 50587·
 2002 11 86568·
 2002 10 28540.
 2002 09 71576·
 2002 08 8647.
 2002 07 12599.
 2002 06 30600·
 2002 05 15549.
 2002 04 75549.
 2002 03 54554·
 2002 02 25627.
 2002 01 24647.
 2001 12  1630.
 2001 11  93581·
 2001 10  26564·
 2001 09  44548·
 2001 08  62558.
 2001 07  36630.
 2001 06  70635·
 2001 05  43570.
 2001 04  57596.
 2001 03  14605.
 2001 02  22617.
 2001 01  16597·
 2000 12 12537.
 2000 11 85542.
 2000 10 68536·
 2000 09 80560·
 2000 08 78611.
 2000 07 30607.
 2000 06 22563·
 2000 05 82537·
 2000 04 29568.
 2000 03 55622·
 2000 02 21632.
 2000 01 89634·
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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: Professional, and Related Occupations in Nondurable Goods Manufacturing Industry: 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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