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 Series Title: Employment Level: Construction and Extraction Occupations, Women: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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 2012 04 11128·
 2012 03 99158.
 2012 02 59153·
 2012 01 75159·
 2011 12  55189·
 2011 11  9198.
 2011 10  50198.
 2011 09  19149.
 2011 08  40165·
 2011 07  92153·
 2011 06  16142·
 2011 05  37155.
 2011 04  16139·
 2011 03  31155.
 2011 02  72155.
 2011 01  73160.
 2010 12 60160.
 2010 11 31188·
 2010 10 54177·
 2010 09 95203·
 2010 08 71208·
 2010 07 25188.
 2010 06 26160.
 2010 05 99164.
 2010 04 76174·
 2010 03 69195·
 2010 02 75200·
 2010 01 3202·
 2009 12  23159·
 2009 11  44195.
 2009 10  15196.
 2009 09  52198·
 2009 08  89214·
 2009 07  58216·
 2009 06  82203.
 2009 05  13186.
 2009 04  75180.
 2009 03  41180.
 2009 02  41163.
 2009 01  83205.
 2008 12 4213.
 2008 11 51199.
 2008 10 79206·
 2008 09 79213·
 2008 08 29198·
 2008 07 70245.
 2008 06 9241.
 2008 05 46229·
 2008 04 24228.
 2008 03 3204.
 2008 02 69207·
 2008 01 54242.
 2007 12  89274.
 2007 11  83292·
 2007 10  22309·
 2007 09  95292.
 2007 08  50292.
 2007 07  66273.
 2007 06  55235·
 2007 05  90226·
 2007 04  58218·
 2007 03  34195.
 2007 02  81239·
 2007 01  83256.
 2006 12 88347.
 2006 11 93342·
 2006 10 39328.
 2006 09 42313.
 2006 08 40307.
 2006 07 75310·
 2006 06 91287.
 2006 05 61269·
 2006 04 39226.
 2006 03 37236.
 2006 02 26247·
 2006 01 61290·
 2005 12  37306·
 2005 11  61279·
 2005 10  55310·
 2005 09  85332.
 2005 08  8265·
 2005 07  52260.
 2005 06  17237.
 2005 05  2239·
 2005 04  52256·
 2005 03  43272·
 2005 02  76274.
 2005 01  6262·
 2004 12 96236.
 2004 11 90258.
 2004 10 17256·
 2004 09 17224.
 2004 08 89230·
 2004 07 75219·
 2004 06 56174·
 2004 05 78176.
 2004 04 7186.
 2004 03 5206.
 2004 02 29222·
 2004 01 59208.
 2003 12  51225·
 2003 11  11229·
 2003 10  99241.
 2003 09  54254·
 2003 08  45259·
 2003 07  50236.
 2003 06  55222·
 2003 05  82199.
 2003 04  41206.
 2003 03  3204.
 2003 02  9185.
 2003 01  87219·
 2002 12 12230·
 2002 11 78250·
 2002 10 99255·
 2002 09 39260.
 2002 08 61240·
 2002 07 5217·
 2002 06 88232·
 2002 05 31202.
 2002 04 12220.
 2002 03 42211·
 2002 02 63184·
 2002 01 82189.
 2001 12  16188.
 2001 11  69212·
 2001 10  39232.
 2001 09  38184·
 2001 08  48230·
 2001 07  95198·
 2001 06  52210·
 2001 05  66196.
 2001 04  8214.
 2001 03  49220·
 2001 02  66187.
 2001 01  61207·
 2000 12 22243·
 2000 11 90235.
 2000 10 68254·
 2000 09 43215.
 2000 08 40213.
 2000 07 98243.
 2000 06 71232.
 2000 05 54260·
 2000 04 38255.
 2000 03 81217.
 2000 02 13208·
 2000 01 66192·
 1999 12  16235·
 1999 11  69234.
 1999 10  58233.
 1999 09  70217.
 1999 08  99214·
 1999 07  20214·
 1999 06  93217·
 1999 05  88219·
 1999 04  38224.
 1999 03  15219.
 1999 02  30221·
 1999 01  62222·
 1998 12 8226.
 1998 11 61224.
 1998 10 8215·
 1998 09 62211·
 1998 08 10210.
 1998 07 89214.
 1998 06 90214·
 1998 05 83213·
 1998 04 69205.
 1998 03 57204.
 1998 02 63206.
 1998 01 43210·
 1997 12  35222·
 1997 11  45220·
 1997 10  41222·
 1997 09  86213·
 1997 08  84219.
 1997 07  60220·
 1997 06  61232·
 1997 05  82218.
 1997 04  16219·
 1997 03  35210.
 1997 02  87203·
 1997 01  24210.
 1996 12 57212·
 1996 11 25209·
 1996 10 5216.
 1996 09 33220·
 1996 08 56222.
 1996 07 13227.
 1996 06 29219·
 1996 05 51215.
 1996 04 90207·
 1996 03 4198·
 1996 02 98195.
 1996 01 48199·
 1995 12  58202.
 1995 11  31207.
 1995 10  73211.
 1995 09  19206.
 1995 08  87212.
 1995 07  50211.
 1995 06  42207·
 1995 05  82209·
 1995 04  26205.
 1995 03  43205·
 1995 02  20207.
 1995 01  82209·
 1994 12 51212.
 1994 11 17219.
 1994 10 42219·
 1994 09 87210·
 1994 08 62213.
 1994 07 3209·
 1994 06 73212.
 1994 05 93214·
 1994 04 85212.
 1994 03 57206.
 1994 02 1207·
 1994 01 17203.
 1993 12  70210·
 1993 11  62209·
 1993 10  37204.
 1993 09  4201·
 1993 08  92204.
 1993 07  24208·
 1993 06  20198·
 1993 05  24190.
 1993 04  52192.
 1993 03  75183.
 1993 02  14189.
 1993 01  70193.
 1992 12 76199·
 1992 11 71207·
 1992 10 5200.
 1992 09 61188.
 1992 08 12200.
 1992 07 94203.
 1992 06 6199·
 1992 05 42196.
 1992 04 38200·
 1992 03 51189.
 1992 02 57190.
 1992 01 82191.
 1991 12  54193.
 1991 11  72202.
 1991 10  18199·
 1991 09  75196.
 1991 08  84201.
 1991 07  16199·
 1991 06  79203.
 1991 05  40192.
 1991 04  79199·
 1991 03  64195.
 1991 02  53198·
 1991 01  22194·
 1990 12 15207.
 1990 11 21205.
 1990 10 76197·
 1990 09 89203·
 1990 08 92205.
 1990 07 21209·
 1990 06 13211.
 1990 05 35195.
 1990 04 35200·
 1990 03 18200.
 1990 02 50199.
 1990 01 80197·
 1989 12  95207.
 1989 11  96214.
 1989 10  1211·
 1989 09  67211.
 1989 08  47205·
 1989 07  61207·
 1989 06  4208·
 1989 05  67198·
 1989 04  91194·
 1989 03  44205.
 1989 02  21205.
 1989 01  73209.
 1988 12 54203·
 1988 11 2204·
 1988 10 41207·
 1988 09 4202.
 1988 08 84203.
 1988 07 17209.
 1988 06 77211.
 1988 05 4208·
 1988 04 59201·
 1988 03 95200.
 1988 02 65195.
 1988 01 43199·
 1987 12  77201·
 1987 11  68203·
 1987 10  70204.
 1987 09  14200·
 1987 08  65202.
 1987 07  93207.
 1987 06  79204·
 1987 05  37199.
 1987 04  73200.
 1987 03  51191.
 1987 02  4187.
 1987 01  57187.
 1986 12 76203.
 1986 11 49196.
 1986 10 85201·
 1986 09 41191.
 1986 08 74201·
 1986 07 18199.
 1986 06 83197.
 1986 05 84198·
 1986 04 94188·
 1986 03 15189.
 1986 02 87183·
 1986 01 6190.
 1985 12  85191·
 1985 11  23201.
 1985 10  9197·
 1985 09  51198.
 1985 08  23198.
 1985 07  46192.
 1985 06  87187.
 1985 05  86184.
 1985 04  8186.
 1985 03  18187·
 1985 02  85186·
 1985 01  8183·
 1984 12 66192·
 1984 11 94194.
 1984 10 90196·
 1984 09 35194.
 1984 08 46195.
 1984 07 57195·
 1984 06 16194·
 1984 05 11188.
 1984 04 25184·
 1984 03 13182·
 1984 02 99181·
 1984 01 4184·
 1983 12  3191·
 1983 11  94191.
 1983 10  2186·
 1983 09  11187.
 1983 08  5182.
 1983 07  55180.
 1983 06  15175.
 1983 05  48168·
 1983 04  82170·
 1983 03  80161.
 1983 02  49162.
 1983 01  62157.
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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: Construction and Extraction Occupations, Women: 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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