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 Series Title: Employment Level: Nonagriculture, Government Wage and Salary Workers, Cuban: NSA
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 2012 04 4074.
 2012 03 9763.
 2012 02 8370·
 2012 01 1393·
 2011 12  26103.
 2011 11  6497·
 2011 10  70105·
 2011 09  17115.
 2011 08  60101.
 2011 07  10117.
 2011 06  38112·
 2011 05  1105·
 2011 04  92112.
 2011 03  18101·
 2011 02  2103·
 2011 01  9111.
 2010 12 97124.
 2010 11 9497·
 2010 10 9999.
 2010 09 1189.
 2010 08 7679·
 2010 07 6996.
 2010 06 9189·
 2010 05 9993·
 2010 04 54105·
 2010 03 1116.
 2010 02 6899·
 2010 01 94116.
 2009 12  82122.
 2009 11  70108.
 2009 10  41136.
 2009 09  40105·
 2009 08  3495·
 2009 07  8494.
 2009 06  4868·
 2009 05  596·
 2009 04  1289·
 2009 03  7588·
 2009 02  5388·
 2009 01  8591·
 2008 12 41100·
 2008 11 9895.
 2008 10 43103·
 2008 09 9793·
 2008 08 71104·
 2008 07 3696·
 2008 06 31118·
 2008 05 87135.
 2008 04 77116.
 2008 03 95117·
 2008 02 55117·
 2008 01 2393.
 2007 12  6079·
 2007 11  668·
 2007 10  7976·
 2007 09  9962.
 2007 08  4561.
 2007 07  2758.
 2007 06  8950·
 2007 05  3574·
 2007 04  8391·
 2007 03  39119.
 2007 02  99126·
 2007 01  75123.
 2006 12 49118.
 2006 11 4982·
 2006 10 4666·
 2006 09 8753·
 2006 08 4463·
 2006 07 8873.
 2006 06 9461.
 2006 05 6777.
 2006 04 9270.
 2006 03 1399·
 2006 02 3095.
 2006 01 3394·
 2005 12  4591.
 2005 11  565·
 2005 10  6883·
 2005 09  2971.
 2005 08  7774·
 2005 07  7276.
 2005 06  4562.
 2005 05  2567·
 2005 04  8959.
 2005 03  4584·
 2005 02  2480.
 2005 01  1467·
 2004 12 762.
 2004 11 8068.
 2004 10 9383.
 2004 09 1578.
 2004 08 8171.
 2004 07 6085.
 2004 06 6579.
 2004 05 7478.
 2004 04 8598.
 2004 03 90101·
 2004 02 7794.
 2004 01 5980·
 2003 12  2168·
 2003 11  359·
 2003 10  9375.
 2003 09  6477.
 2003 08  1569.
 2003 07  5580·
 2003 06  177.
 2003 05  889.
 2003 04  1581.
 2003 03  2782·
 2003 02  1380.
 2003 01  3686·
 2002 12 9871·
 2002 11 2759.
 2002 10 6841.
 2002 09 1643·
 2002 08 6572.
 2002 07 8683·
 2002 06 2874.
 2002 05 4382·
 2002 04 4052.
 2002 03 6158.
 2002 02 8077·
 2002 01 3568·
 2001 12  7464.
 2001 11  3269.
 2001 10  3976·
 2001 09  3880·
 2001 08  4270·
 2001 07  865.
 2001 06  4254·
 2001 05  2056·
 2001 04  4555·
 2001 03  2062·
 2001 02  5168·
 2001 01  7544·
 2000 12 867·
 2000 11 2365.
 2000 10 5584.
 2000 09 2297·
 2000 08 81109·
 2000 07 191.
 2000 06 6786.
 2000 05 796.
 2000 04 4064.
 2000 03 5972·
 2000 02 2488·
 2000 01 9675.
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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: Nonagriculture, Government Wage and Salary Workers, Cuban: 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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