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 Series Title: Employment Level: Protective Service Occupations in Manufacturing Industry: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Yearly Chart  |  Excel file  |  Self-updating Excel file
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 2000 01 9641·
 2000 02 8336·
 2000 03 6138·
 2000 04 1047.
 2000 05 3049.
 2000 06 2556·
 2000 07 261.
 2000 08 9672·
 2000 09 2443.
 2000 10 6058·
 2000 11 3754.
 2000 12 7546·
 2001 01  2946·
 2001 02  6949.
 2001 03  8042·
 2001 04  9043·
 2001 05  1929·
 2001 06  5838.
 2001 07  6936.
 2001 08  1151·
 2001 09  9652·
 2001 10  5955.
 2001 11  6556·
 2001 12  3262.
 2002 01 8560·
 2002 02 2941·
 2002 03 5855·
 2002 04 7248.
 2002 05 3538·
 2002 06 5029·
 2002 07 6030·
 2002 08 7531.
 2002 09 2338·
 2002 10 2837.
 2002 11 951.
 2002 12 1044·
 2003 01  4941.
 2003 02  9446·
 2003 03  6857·
 2003 04  7251.
 2003 05  3850·
 2003 06  647·
 2003 07  2527·
 2003 08  7927·
 2003 09  4033·
 2003 10  4448.
 2003 11  9252·
 2003 12  7645.
 2004 01 3228.
 2004 02 1722.
 2004 03 833·
 2004 04 3129·
 2004 05 1330.
 2004 06 5428·
 2004 07 3521.
 2004 08 4025.
 2004 09 934·
 2004 10 1434·
 2004 11 6233·
 2004 12 2139·
 2005 01  6945·
 2005 02  7735.
 2005 03  148·
 2005 04  1831.
 2005 05  7124·
 2005 06  5024·
 2005 07  9021·
 2005 08  032.
 2005 09  1334.
 2005 10  6527.
 2005 11  9235·
 2005 12  6232·
 2006 01 2233.
 2006 02 7848.
 2006 03 9536.
 2006 04 2247·
 2006 05 4839.
 2006 06 7227.
 2006 07 1256.
 2006 08 2649.
 2006 09 6544·
 2006 10 5240.
 2006 11 8030·
 2006 12 4130·
 2007 01  7529.
 2007 02  5140.
 2007 03  6349·
 2007 04  6245·
 2007 05  330.
 2007 06  2533·
 2007 07  4954.
 2007 08  954·
 2007 09  035.
 2007 10  5529·
 2007 11  5027·
 2007 12  2529·
 2008 01 4031·
 2008 02 4925·
 2008 03 436.
 2008 04 7929·
 2008 05 2428.
 2008 06 3820·
 2008 07 7426.
 2008 08 6642.
 2008 09 7739·
 2008 10 7842.
 2008 11 4938.
 2008 12 523·
 2009 01  5026.
 2009 02  5137·
 2009 03  4028·
 2009 04  4052.
 2009 05  1945·
 2009 06  6541.
 2009 07  8634·
 2009 08  4025.
 2009 09  8319·
 2009 10  5027.
 2009 11  5014.
 2009 12  9923.
 2010 01 6923.
 2010 02 6346·
 2010 03 1926.
 2010 04 3637·
 2010 05 2538·
 2010 06 8633·
 2010 07 730.
 2010 08 9621.
 2010 09 2929.
 2010 10 2531.
 2010 11 5129.
 2010 12 4830·
 2011 01  8031.
 2011 02  1232·
 2011 03  1530·
 2011 04  8535.
 2011 05  340.
 2011 06  436·
 2011 07  8546.
 2011 08  2759.
 2011 09  4943·
 2011 10  8338.
 2011 11  7646.
 2011 12  1926.
 2012 01 9424·
 2012 02 5436·
 2012 03 2537.
 2012 04 2845.
 2012 05 3751·
 2012 06 5048·
 2012 07 9452.
 2012 08 5038.
 2012 09 536.
 2012 10 2845·
 2012 11 7225.
 2012 12 317·
 2013 01  4719.
 2013 02  6818.
 2013 03  7225.
 2013 04  3215.
 2013 05  3916.
 2013 06  7816.
 2013 07  3231·
 2013 08  641.
 2013 09  8139·
 2013 10  8921.
 2013 11  1331.
 2013 12  1930.
 2014 01 9938·
 2014 02 5830·
 2014 03 518·
 2014 04 8931.
 2014 05 4328.
 2014 06 6618.
 2014 07 2129·
 2014 08 6236.
 2014 09 8936.
 2014 10 2139·
 2014 11 9727·
 2014 12 623.
 2015 01  3727.
 2015 02  5310.
 2015 03  9721.
 2015 04  1621.
 2015 05  1224.
 2015 06  2034·
 2015 07  930.
 2015 08  1037.
 2015 09  6440·
 2015 10  238·
 2015 11  4644·
 2015 12  3334.
 2016 01 7029·
 2016 02 827·
 2016 03 4527.
 2016 04 5422·
 2016 05 2918.
 2016 06 6724·
 2016 07 7020.
 2016 08 6629·
 2016 09 6631·
 2016 10 3835.
 2016 11 945.
 2016 12 9044·
 2017 01  3450.
 2017 02  151·
 2017 03  7362.
 2017 04  7043.
 2017 05  528·


 2017 06  6438·
 2017 07  230·
 2017 08  7331.
 2017 09  8227.
 2017 10  5727·
 2017 11  5834.
 2017 12  9616·
 2018 01 8928.
 2018 02 3826.
 2018 03 2932·
 2018 04 5633·
 2018 05 7722·
 2018 06 8931.
 2018 07 2818·
 2018 08 9835.
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US Unemployment Rate: Alternative Measures of Labor Underutilization

Charts

Unemployment Rate and 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: Protective Service Occupations in 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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