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 Series Title: Employment Level: Protective Service Occupations in Manufacturing Industry: NSA
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 2000 01 6541.
 2000 02 3836.
 2000 03 9038·
 2000 04 3547·
 2000 05 1449.
 2000 06 6756.
 2000 07 3961·
 2000 08 272·
 2000 09 1043·
 2000 10 7658·
 2000 11 7054·
 2000 12 4846.
 2001 01  546·
 2001 02  4649.
 2001 03  9642·
 2001 04  1943·
 2001 05  7229·
 2001 06  8538.
 2001 07  5536·
 2001 08  8351·
 2001 09  1452.
 2001 10  2255·
 2001 11  1056.
 2001 12  3462·
 2002 01 5460.
 2002 02 1741.
 2002 03 4955.
 2002 04 9148.
 2002 05 4438.
 2002 06 4929·
 2002 07 8530.
 2002 08 031·
 2002 09 6038·
 2002 10 2537·
 2002 11 5451·
 2002 12 2844·
 2003 01  041·
 2003 02  7846.
 2003 03  2257·
 2003 04  6951·
 2003 05  9150.
 2003 06  6447·
 2003 07  7427·
 2003 08  4427.
 2003 09  8333.
 2003 10  6448.
 2003 11  2552.
 2003 12  9645·
 2004 01 5228·
 2004 02 8522.
 2004 03 1233.
 2004 04 9529.
 2004 05 9830.
 2004 06 5928.
 2004 07 9821.
 2004 08 3425·
 2004 09 4534.
 2004 10 4334.
 2004 11 7033·
 2004 12 3239·
 2005 01  4645.
 2005 02  1735.
 2005 03  4348·
 2005 04  3431.
 2005 05  7524.
 2005 06  9024.
 2005 07  5221·
 2005 08  1032·
 2005 09  3234·
 2005 10  9127·
 2005 11  6335.
 2005 12  5232·
 2006 01 4333·
 2006 02 7948.
 2006 03 6236.
 2006 04 8047.
 2006 05 5839·
 2006 06 3427.
 2006 07 6256.
 2006 08 3949·
 2006 09 5244.
 2006 10 6340·
 2006 11 130·
 2006 12 9730.
 2007 01  2729·
 2007 02  9840·
 2007 03  4349.
 2007 04  4845·
 2007 05  730·
 2007 06  9633.
 2007 07  7454·
 2007 08  1354.
 2007 09  4335.
 2007 10  3829.
 2007 11  927.
 2007 12  3429.
 2008 01 1031.
 2008 02 3125.
 2008 03 8436.
 2008 04 8129·
 2008 05 928·
 2008 06 620·
 2008 07 6226.
 2008 08 4842·
 2008 09 6539.
 2008 10 2042·
 2008 11 3338·
 2008 12 5523·
 2009 01  2826·
 2009 02  5537.
 2009 03  728.
 2009 04  4552·
 2009 05  7445.
 2009 06  1841·
 2009 07  2434.
 2009 08  8825·
 2009 09  319·
 2009 10  3927.
 2009 11  4614·
 2009 12  7723·
 2010 01 4023·
 2010 02 7646·
 2010 03 6226·
 2010 04 3237·
 2010 05 3638·
 2010 06 1133.
 2010 07 8330·
 2010 08 9821.
 2010 09 6729·
 2010 10 4931.
 2010 11 4829·
 2010 12 4230·
 2011 01  3231·
 2011 02  2332·
 2011 03  2030·
 2011 04  5935.
 2011 05  5840.
 2011 06  8936·
 2011 07  8746·
 2011 08  7059.
 2011 09  9443.
 2011 10  2938·
 2011 11  6146·
 2011 12  1626·
 2012 01 1524·
 2012 02 4936.
 2012 03 8037.
 2012 04 6845·
 2012 05 2451.
 2012 06 8248·
 2012 07 852.
 2012 08 2038·
 2012 09 4336.
 2012 10 8445·
 2012 11 3225.
 2012 12 9217.
 2013 01  2519.
 2013 02  3518.
 2013 03  6625·
 2013 04  2615·
 2013 05  4416·
 2013 06  4416.
 2013 07  4631·
 2013 08  9241·
 2013 09  139.
 2013 10  4221.
 2013 11  3631·
 2013 12  8530·
 2014 01 2138·
 2014 02 8530·
 2014 03 2418.
 2014 04 2331·
 2014 05 5528·
 2014 06 5518.
 2014 07 2229·
 2014 08 5236.
 2014 09 7836·
 2014 10 5839·
 2014 11 7027·
 2014 12 3823.
 2015 01  9027.
 2015 02  2710·
 2015 03  2821.
 2015 04  7821.
 2015 05  1724.
 2015 06  1834.
 2015 07  8630·
 2015 08  9037.
 2015 09  940·
 2015 10  1238·
 2015 11  5644.
 2015 12  1834.
 2016 01 4229·
 2016 02 1627.
 2016 03 7727·
 2016 04 3222·
 2016 05 1618·
 2016 06 6324·
 2016 07 1020.
 2016 08 2529·
 2016 09 5631·
 2016 10 735.
 2016 11 4445·
 2016 12 1744·
 2017 01  1250·
 2017 02  3251·
 2017 03  9262·
 2017 04  5143.
 2017 05  6128·
 2017 06  4438.
 2017 07  9230.
 2017 08  9831.


 2017 09  327·
 2017 10  7427·
 2017 11  634·
 2017 12  5116.
 2018 01 6228.
 2018 02 7926·
 2018 03 2332·
 2018 04 2833.
 2018 05 8922·
 2018 06 4031.
 2018 07 5518·
 2018 08 7635.
 2018 09 6120·
 2018 10 6521.
 2018 11 4123·
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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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