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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 6541.
 2000 02 4436.
 2000 03 6638.
 2000 04 3547.
 2000 05 7649·
 2000 06 2056.
 2000 07 9661·
 2000 08 6772·
 2000 09 7343.
 2000 10 1358·
 2000 11 4654.
 2000 12 1646.
 2001 01  446·
 2001 02  549.
 2001 03  2942.
 2001 04  2743·
 2001 05  4729·
 2001 06  238·
 2001 07  8136.
 2001 08  6951·
 2001 09  052.
 2001 10  3755.
 2001 11  6756·
 2001 12  3662·
 2002 01 9160.
 2002 02 6541.
 2002 03 7555.
 2002 04 4648·
 2002 05 6838·
 2002 06 6929·
 2002 07 1630.
 2002 08 4531.
 2002 09 838·
 2002 10 5537.
 2002 11 3051·
 2002 12 144.
 2003 01  1141.
 2003 02  5446.
 2003 03  7857·
 2003 04  851·
 2003 05  250·
 2003 06  2447.
 2003 07  4927·
 2003 08  8627.
 2003 09  3133.
 2003 10  4648·
 2003 11  5652.
 2003 12  7845.
 2004 01 7528·
 2004 02 2722.
 2004 03 3633.
 2004 04 5529.
 2004 05 3330.
 2004 06 9728·
 2004 07 5321·
 2004 08 925·
 2004 09 3034.
 2004 10 1534.
 2004 11 9433·
 2004 12 6039.
 2005 01  1845.
 2005 02  6135.
 2005 03  7348.
 2005 04  5331·
 2005 05  7224.
 2005 06  4324·
 2005 07  2621·
 2005 08  5632·
 2005 09  9134.
 2005 10  9127.
 2005 11  1835·
 2005 12  6432·
 2006 01 233·
 2006 02 6248.
 2006 03 3536·
 2006 04 9547.
 2006 05 5439·
 2006 06 3927·
 2006 07 9156.
 2006 08 9449·
 2006 09 2444.
 2006 10 2840.
 2006 11 2430·
 2006 12 3030·
 2007 01  1129.
 2007 02  6040·
 2007 03  9749·
 2007 04  9745·
 2007 05  4130.
 2007 06  9233·
 2007 07  9754.
 2007 08  1454·
 2007 09  6435·
 2007 10  529.
 2007 11  3727.
 2007 12  2629.
 2008 01 5631·
 2008 02 725·
 2008 03 5636·
 2008 04 129.
 2008 05 1728·
 2008 06 2920·
 2008 07 1626.
 2008 08 3442.
 2008 09 7239·
 2008 10 2842·
 2008 11 438·
 2008 12 4323·
 2009 01  7326.
 2009 02  8437.
 2009 03  3528·
 2009 04  7452·
 2009 05  9345·
 2009 06  641.
 2009 07  4634·
 2009 08  9425·
 2009 09  3519.
 2009 10  2427.
 2009 11  9914.
 2009 12  9923.
 2010 01 2223.
 2010 02 9546·
 2010 03 8326·
 2010 04 737.
 2010 05 538·
 2010 06 133.
 2010 07 1030.
 2010 08 6321·
 2010 09 6129.
 2010 10 4931·
 2010 11 1929.
 2010 12 3530·
 2011 01  8931·
 2011 02  6932.
 2011 03  7230·
 2011 04  1835·
 2011 05  1440.
 2011 06  2036.
 2011 07  5746·
 2011 08  3159.
 2011 09  8743·
 2011 10  8138.
 2011 11  8746·
 2011 12  1826·
 2012 01 8424.
 2012 02 6136·
 2012 03 037·
 2012 04 4945.
 2012 05 451·
 2012 06 9048·
 2012 07 5952·
 2012 08 1638·
 2012 09 7436.
 2012 10 2645.
 2012 11 5225.
 2012 12 4017·
 2013 01  4319.
 2013 02  4918.
 2013 03  9125.
 2013 04  6515·
 2013 05  8716·
 2013 06  6716·
 2013 07  1531·
 2013 08  5941·
 2013 09  639.
 2013 10  1221·
 2013 11  8631.
 2013 12  1730.
 2014 01 2638·
 2014 02 3930·
 2014 03 9218·
 2014 04 5931·
 2014 05 9728·
 2014 06 3018·
 2014 07 4729·
 2014 08 2736.
 2014 09 9536·
 2014 10 9339.
 2014 11 8827.
 2014 12 9223·
 2015 01  1927.
 2015 02  5910·
 2015 03  7721.
 2015 04  4721·
 2015 05  9624·
 2015 06  8334·
 2015 07  430.
 2015 08  1237.
 2015 09  7540.
 2015 10  4938·
 2015 11  8044.
 2015 12  3134.
 2016 01 3329·
 2016 02 6327·
 2016 03 4427.
 2016 04 7222.
 2016 05 6918.
 2016 06 5624.
 2016 07 5820.
 2016 08 3129.
 2016 09 931·
 2016 10 8535·
 2016 11 1145·
 2016 12 2644.
 2017 01  350·
 2017 02  3151.


 2017 03  1562.
 2017 04  143·
 2017 05  2628·
 2017 06  238.
 2017 07  930·
 2017 08  2531·
 2017 09  8027·
 2017 10  2927·
 2017 11  5434.
 2017 12  9316·
 2018 01 8928.
 2018 02 6826.
 2018 03 3932·
 2018 04 2433·
 2018 05 422.
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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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