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 Series Title: Employment Level: Construction, Women: SA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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 2012 04 36846·
 2012 03 30821.
 2012 02 76844·
 2012 01 96846·
 2011 12  36844·
 2011 11  43817.
 2011 10  67847·
 2011 09  88804.
 2011 08  66816.
 2011 07  18819·
 2011 06  22803.
 2011 05  41885·
 2011 04  74844·
 2011 03  35821.
 2011 02  53845.
 2011 01  99796·
 2010 12 37791.
 2010 11 2851·
 2010 10 99807·
 2010 09 32837·
 2010 08 55810·
 2010 07 49772·
 2010 06 21775·
 2010 05 33800.
 2010 04 54805·
 2010 03 34823.
 2010 02 8814.
 2010 01 22798·
 2009 12  83787.
 2009 11  38805·
 2009 10  73801·
 2009 09  43800.
 2009 08  19900.
 2009 07  68917.
 2009 06  54959·
 2009 05  651008.
 2009 04  61991·
 2009 03  551021·
 2009 02  14968·
 2009 01  821091.
 2008 12 351005·
 2008 11 571017·
 2008 10 401044.
 2008 09 131061.
 2008 08 911078·
 2008 07 541084·
 2008 06 451135·
 2008 05 31174·
 2008 04 51062.
 2008 03 531072·
 2008 02 681025.
 2008 01 201068.
 2007 12  771108.
 2007 11  871134·
 2007 10  711159·
 2007 09  591107.
 2007 08  331110.
 2007 07  111117.
 2007 06  421107·
 2007 05  391041·
 2007 04  231075·
 2007 03  71087.
 2007 02  951166.
 2007 01  31216.
 2006 12 221279·
 2006 11 831178.
 2006 10 661172.
 2006 09 221159·
 2006 08 311107.
 2006 07 691102·
 2006 06 181116.
 2006 05 901094.
 2006 04 751097·
 2006 03 221047·
 2006 02 411087.
 2006 01 241130.
 2005 12  41129·
 2005 11  241095·
 2005 10  461090·
 2005 09  701168·
 2005 08  941044·
 2005 07  821044·
 2005 06  711012.
 2005 05  971027·
 2005 04  451102·
 2005 03  271074.
 2005 02  801126.
 2005 01  991045·
 2004 12 831058.
 2004 11 151052.
 2004 10 601031.
 2004 09 951079.
 2004 08 591056·
 2004 07 291071·
 2004 06 241026.
 2004 05 291049.
 2004 04 461013·
 2004 03 751034.
 2004 02 101059·
 2004 01 70956.
 2003 12  46907·
 2003 11  85947·
 2003 10  81956·
 2003 09  12985.
 2003 08  85963.
 2003 07  15988.
 2003 06  251005·
 2003 05  75966.
 2003 04  121002.
 2003 03  471022.
 2003 02  54979.
 2003 01  3975.
 2002 12 3970·
 2002 11 871031·
 2002 10 71049.
 2002 09 641054.
 2002 08 591076.
 2002 07 681022·
 2002 06 471020·
 2002 05 54978·
 2002 04 4937.
 2002 03 46945.
 2002 02 61954.
 2002 01 90997·
 2001 12  901029.
 2001 11  21033·
 2001 10  62996.
 2001 09  181001.
 2001 08  911016.
 2001 07  441006·
 2001 06  881116·
 2001 05  61101.
 2001 04  81051.
 2001 03  21038.
 2001 02  21041.
 2001 01  491080.
 2000 12 661117.
 2000 11 341027.
 2000 10 921041·
 2000 09 651010.
 2000 08 161042.
 2000 07 211082.
 2000 06 711002.
 2000 05 0991·
 2000 04 341025.
 2000 03 701015.
 2000 02 771007·
 2000 01 21990.
 1999 12  181016.
 1999 11  12994.
 1999 10  72981.
 1999 09  23958·
 1999 08  96958.
 1999 07  4988.
 1999 06  44983.
 1999 05  251052.
 1999 04  17967.
 1999 03  28982.
 1999 02  71014·
 1999 01  72962·
 1998 12 56968.
 1998 11 90955·
 1998 10 99943·
 1998 09 32941·
 1998 08 15893·
 1998 07 22885·
 1998 06 81880·
 1998 05 0885·
 1998 04 18910·
 1998 03 81896·
 1998 02 43858·
 1998 01 95877.
 1997 12  16849·
 1997 11  47843·
 1997 10  96908.
 1997 09  61851·
 1997 08  84869.
 1997 07  29907.
 1997 06  79882.
 1997 05  67924·
 1997 04  23930·
 1997 03  57893·
 1997 02  55908·
 1997 01  6889.
 1996 12 58881·
 1996 11 89890.
 1996 10 12913·
 1996 09 0933·
 1996 08 39924.
 1996 07 5874.
 1996 06 62907·
 1996 05 91875·
 1996 04 43810.
 1996 03 13915.
 1996 02 43901.
 1996 01 48904.
 1995 12  68895·
 1995 11  43890.
 1995 10  18867.
 1995 09  66871·
 1995 08  41863·
 1995 07  54875.
 1995 06  76874·
 1995 05  64810.
 1995 04  12807.
 1995 03  26799.
 1995 02  29825.
 1995 01  86860·
 1994 12 56854.
 1994 11 66875.
 1994 10 15880·
 1994 09 2846·
 1994 08 74897·
 1994 07 5870.
 1994 06 96831·
 1994 05 5808.
 1994 04 91732·
 1994 03 1748·
 1994 02 62738.
 1994 01 14721.
 1993 12  58746·
 1993 11  34743·
 1993 10  24805·
 1993 09  74746.
 1993 08  49709·
 1993 07  13692.
 1993 06  20693·
 1993 05  53729·
 1993 04  66723·
 1993 03  67709·
 1993 02  14704·
 1993 01  46693·
 1992 12 34702.
 1992 11 54700·
 1992 10 93652.
 1992 09 73708.
 1992 08 3715.
 1992 07 56715·
 1992 06 70721.
 1992 05 77740.
 1992 04 48794·
 1992 03 79751.
 1992 02 84753·
 1992 01 27700.
 1991 12  70675.
 1991 11  54665.
 1991 10  96671·
 1991 09  17720.
 1991 08  95680.
 1991 07  39683·
 1991 06  95696.
 1991 05  67704·
 1991 04  72738·
 1991 03  16745·
 1991 02  94750·
 1991 01  21742·
 1990 12 77736·
 1990 11 89753.
 1990 10 31718·
 1990 09 48727.
 1990 08 11750.
 1990 07 92787.
 1990 06 68802·
 1990 05 41769.
 1990 04 98756.
 1990 03 81778.
 1990 02 93793.
 1990 01 21821·
 1989 12  90810.
 1989 11  38803.
 1989 10  20824·
 1989 09  31748·
 1989 08  61765·
 1989 07  69797.
 1989 06  86788·
 1989 05  41845.
 1989 04  12807·
 1989 03  6799.
 1989 02  54770·
 1989 01  44730.
 1988 12 69809·
 1988 11 5784.
 1988 10 12794.
 1988 09 60840·
 1988 08 82826·
 1988 07 49798.
 1988 06 73817.
 1988 05 33790·
 1988 04 25763.
 1988 03 43711·
 1988 02 74771·
 1988 01 31774.
 1987 12  1785·
 1987 11  20785.
 1987 10  80777.
 1987 09  50758·
 1987 08  33793·
 1987 07  36834.
 1987 06  77783.
 1987 05  9730.
 1987 04  72753·
 1987 03  72673.
 1987 02  78741·
 1987 01  50766.
 1986 12 95716.
 1986 11 36743·
 1986 10 21741.
 1986 09 45712.
 1986 08 0699·
 1986 07 59699·
 1986 06 70694.
 1986 05 85721·
 1986 04 14725.
 1986 03 98724·
 1986 02 12722·
 1986 01 92762.
 1985 12  87710·
 1985 11  34702.
 1985 10  60709.
 1985 09  9727.
 1985 08  94702.
 1985 07  74687·
 1985 06  51682·
 1985 05  5697·
 1985 04  36706.
 1985 03  49712·
 1985 02  50697·
 1985 01  74693·
 1984 12 38709·
 1984 11 17691.
 1984 10 43688·
 1984 09 36667·
 1984 08 51668·
 1984 07 58667.
 1984 06 44647.
 1984 05 34698.
 1984 04 49634·
 1984 03 80634·
 1984 02 90621·
 1984 01 38603·
 1983 12  34624.
 1983 11  15651·
 1983 10  44604.
 1983 09  41611·
 1983 08  30614.
 1983 07  18673.
 1983 06  95610·
 1983 05  64580.
 1983 04  88574.
 1983 03  71541·
 1983 02  55581.
 1983 01  50562.
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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.
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      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, Women: SA
   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

Unemployment data for every county in the U.S..
Click for Illinois counties, then follow the example for your state

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