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 Series Title: Persons At Work in Natural Resources, Construction, and Maintenance Occupations, Men, Worked 1-34 Hours: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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 2012 04 592062·
 2012 03 301992.
 2012 02 212262.
 2012 01 922433·
 2011 12  262318·
 2011 11  72768.
 2011 10  232505·
 2011 09  912140.
 2011 08  82207.
 2011 07  322150.
 2011 06  752167.
 2011 05  382259.
 2011 04  582271.
 2011 03  872403·
 2011 02  912582.
 2011 01  782732·
 2010 12 502451·
 2010 11 792680.
 2010 10 92395·
 2010 09 802320.
 2010 08 842504·
 2010 07 402489·
 2010 06 912457.
 2010 05 382421.
 2010 04 872365·
 2010 03 252593.
 2010 02 262873.
 2010 01 712567·
 2009 12  72797.
 2009 11  173066·
 2009 10  263041.
 2009 09  244773.
 2009 08  212443.
 2009 07  232407·
 2009 06  292490·
 2009 05  652534.
 2009 04  302652.
 2009 03  732657.
 2009 02  992849·
 2009 01  892740·
 2008 12 572746·
 2008 11 252957·
 2008 10 222662·
 2008 09 142473.
 2008 08 552337·
 2008 07 602219·
 2008 06 132234.
 2008 05 862215·
 2008 04 982196.
 2008 03 852180.
 2008 02 82550.
 2008 01 732339·
 2007 12  862416·
 2007 11  322241.
 2007 10  712256.
 2007 09  682029·
 2007 08  461985·
 2007 07  572085.
 2007 06  902011.
 2007 05  932036.
 2007 04  272152·
 2007 03  412140.
 2007 02  772796·
 2007 01  892521.
 2006 12 42274.
 2006 11 922601.
 2006 10 702376.
 2006 09 272078·
 2006 08 792045·
 2006 07 412026·
 2006 06 332060.
 2006 05 22038.
 2006 04 772358·
 2006 03 452226.
 2006 02 532423·
 2006 01 312303.
 2005 12  472523·
 2005 11  852613·
 2005 10  432336·
 2005 09  592159·
 2005 08  661995.
 2005 07  692108.
 2005 06  411961·
 2005 05  552010.
 2005 04  342079·
 2005 03  262172·
 2005 02  92298·
 2005 01  132328.
 2004 12 762297.
 2004 11 152598·
 2004 10 372312·
 2004 09 532078·
 2004 08 422102·
 2004 07 181919·
 2004 06 362081·
 2004 05 192019.
 2004 04 82104·
 2004 03 392086·
 2004 02 442258.
 2004 01 792134·
 2003 12  752289·
 2003 11  122443.
 2003 10  252186.
 2003 09  292005.
 2003 08  672104.
 2003 07  922030.
 2003 06  662163.
 2003 05  862086·
 2003 04  352082.
 2003 03  632097.
 2003 02  812327·
 2003 01  962123.
 2002 12 552537.
 2002 11 292412·
 2002 10 61913·
 2002 09 261738·
 2002 08 271750·
 2002 07 231889·
 2002 06 61776·
 2002 05 731840.
 2002 04 761836·
 2002 03 12022.
 2002 02 672003.
 2002 01 541837·
 2001 12  531913·
 2001 11  462256·
 2001 10  32059.
 2001 09  132022.
 2001 08  331772.
 2001 07  631746·
 2001 06  521751.
 2001 05  211769.
 2001 04  162142.
 2001 03  841863.
 2001 02  761934·
 2001 01  701902·
 2000 12 281939·
 2000 11 671966·
 2000 10 631962·
 2000 09 811694.
 2000 08 191744·
 2000 07 921621·
 2000 06 271679·
 2000 05 971747·
 2000 04 651670·
 2000 03 661893·
 2000 02 51766.
 2000 01 871713·
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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: Persons At Work in Natural Resources, Construction, and Maintenance Occupations, Men, Worked 1-34 Hours: 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

Make charts for Okun's Law and Phillip's Curve

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