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 Series Title: Employment Level: Cuban, Natural Resources, Construction, and Maintenance Occupations: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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 2012 04 6379.
 2012 03 1589·
 2012 02 6288.
 2012 01 3276.
 2011 12  7670·
 2011 11  4971.
 2011 10  7106.
 2011 09  35121.
 2011 08  0131.
 2011 07  26121·
 2011 06  9684.
 2011 05  8077.
 2011 04  8345·
 2011 03  2670·
 2011 02  4361·
 2011 01  1258.
 2010 12 364.
 2010 11 5650.
 2010 10 8575·
 2010 09 9968·
 2010 08 58111.
 2010 07 49117·
 2010 06 86115·
 2010 05 36111.
 2010 04 7696.
 2010 03 6178.
 2010 02 3276·
 2010 01 4358·
 2009 12  578·
 2009 11  7368.
 2009 10  3857.
 2009 09  6261.
 2009 08  2249·
 2009 07  9255·
 2009 06  4188.
 2009 05  6489.
 2009 04  27102.
 2009 03  4988·
 2009 02  478.
 2009 01  4287·
 2008 12 4481.
 2008 11 277.
 2008 10 1595·
 2008 09 1562·
 2008 08 2660.
 2008 07 3374·
 2008 06 8673.
 2008 05 28111·
 2008 04 4692.
 2008 03 4675·
 2008 02 5676.
 2008 01 5072.
 2007 12  6102·
 2007 11  75104.
 2007 10  8774·
 2007 09  75112·
 2007 08  31105.
 2007 07  76104.
 2007 06  67119.
 2007 05  22117·
 2007 04  71131·
 2007 03  30140·
 2007 02  10125·
 2007 01  36109·
 2006 12 1112.
 2006 11 45124·
 2006 10 53107.
 2006 09 85124·
 2006 08 2293·
 2006 07 5199.
 2006 06 59120·
 2006 05 63125·
 2006 04 60104.
 2006 03 690·
 2006 02 1699.
 2006 01 9087·
 2005 12  64113·
 2005 11  91116.
 2005 10  3791.
 2005 09  9107·
 2005 08  1187.
 2005 07  1386.
 2005 06  5999·
 2005 05  91105·
 2005 04  098·
 2005 03  3104·
 2005 02  46106.
 2005 01  29112·
 2004 12 57118·
 2004 11 18139·
 2004 10 86110.
 2004 09 42104·
 2004 08 32100·
 2004 07 40102.
 2004 06 91106.
 2004 05 7497.
 2004 04 193·
 2004 03 7587·
 2004 02 9967·
 2004 01 9578·
 2003 12  6484.
 2003 11  5586.
 2003 10  7397·
 2003 09  99103·
 2003 08  4687.
 2003 07  3769·
 2003 06  167.
 2003 05  481.
 2003 04  9975·
 2003 03  271.
 2003 02  9670.
 2003 01  5547.
 2002 12 9654·
 2002 11 5737·
 2002 10 9636.
 2002 09 2173.
 2002 08 3975·
 2002 07 3382.
 2002 06 6477.
 2002 05 9776·
 2002 04 5364.
 2002 03 8887.
 2002 02 8787.
 2002 01 171·
 2001 12  8970·
 2001 11  274·
 2001 10  7956.
 2001 09  7779.
 2001 08  22103·
 2001 07  83110·
 2001 06  7798.
 2001 05  9594·
 2001 04  5170·
 2001 03  6162·
 2001 02  4569·
 2001 01  4963.
 2000 12 368.
 2000 11 9591.
 2000 10 6980.
 2000 09 5786.
 2000 08 29119·
 2000 07 65115.
 2000 06 64100.
 2000 05 6584.
 2000 04 271·
 2000 03 7868·
 2000 02 6679.
 2000 01 4175·
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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: Cuban, Natural Resources, Construction, and Maintenance Occupations: 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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