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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  |  Excel file  |  Self-updating Excel file
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 2012 04 9545·
 2012 03 5637·
 2012 02 036·
 2012 01 2324.
 2011 12  4526.
 2011 11  8846.
 2011 10  7938.
 2011 09  7043·
 2011 08  9859·
 2011 07  5646.
 2011 06  9636.
 2011 05  5440.
 2011 04  735·
 2011 03  4230.
 2011 02  6432.
 2011 01  1831·
 2010 12 4430·
 2010 11 5229.
 2010 10 2131·
 2010 09 3229.
 2010 08 1221·
 2010 07 1730·
 2010 06 3033.
 2010 05 8938.
 2010 04 3537.
 2010 03 9626·
 2010 02 8046.
 2010 01 823·
 2009 12  6423.
 2009 11  6814·
 2009 10  8227.
 2009 09  3519.
 2009 08  7425·
 2009 07  4134.
 2009 06  7541·
 2009 05  3845.
 2009 04  6652·
 2009 03  4728·
 2009 02  2237·
 2009 01  1126·
 2008 12 6423·
 2008 11 4238.
 2008 10 1042·
 2008 09 7339·
 2008 08 2042.
 2008 07 726.
 2008 06 5320·
 2008 05 6828.
 2008 04 929·
 2008 03 5036.
 2008 02 8825·
 2008 01 6631·
 2007 12  3129.
 2007 11  227·
 2007 10  7829.
 2007 09  6135.
 2007 08  1154.
 2007 07  2054·
 2007 06  1133.
 2007 05  7230·
 2007 04  145.
 2007 03  8449·
 2007 02  040·
 2007 01  4329.
 2006 12 7430·
 2006 11 330·
 2006 10 8340.
 2006 09 4244.
 2006 08 3349·
 2006 07 856·
 2006 06 2327.
 2006 05 6639.
 2006 04 147·
 2006 03 5436·
 2006 02 848.
 2006 01 3133·
 2005 12  3032·
 2005 11  2535.
 2005 10  5027·
 2005 09  8334.
 2005 08  9532·
 2005 07  2621·
 2005 06  8724.
 2005 05  9124·
 2005 04  9631.
 2005 03  8948.
 2005 02  8335·
 2005 01  4845·
 2004 12 5839·
 2004 11 7033·
 2004 10 2534·
 2004 09 7534.
 2004 08 3325·
 2004 07 5321.
 2004 06 2728.
 2004 05 1530.
 2004 04 9529.
 2004 03 4233·
 2004 02 2522.
 2004 01 3728·
 2003 12  4545.
 2003 11  7052·
 2003 10  8348.
 2003 09  3533.
 2003 08  927·
 2003 07  9427·
 2003 06  8947·
 2003 05  2950.
 2003 04  3551.
 2003 03  9457·
 2003 02  5546.
 2003 01  6241.
 2002 12 144.
 2002 11 7851·
 2002 10 2037.
 2002 09 538.
 2002 08 631·
 2002 07 7730·
 2002 06 4729·
 2002 05 5038.
 2002 04 7648·
 2002 03 4855·
 2002 02 2341.
 2002 01 1760.
 2001 12  6162·
 2001 11  7356·
 2001 10  6155·
 2001 09  5152·
 2001 08  3751·
 2001 07  5836·
 2001 06  9938·
 2001 05  2029·
 2001 04  443.
 2001 03  3542.
 2001 02  149·
 2001 01  1946.
 2000 12 8746·
 2000 11 6054.
 2000 10 5358·
 2000 09 6643.
 2000 08 3672·
 2000 07 1561·
 2000 06 6956·
 2000 05 649·
 2000 04 2847.
 2000 03 738.
 2000 02 8736.
 2000 01 841.
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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: 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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