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 Series Title: Employment Level: Natural Resources, Construction, and Maintenance Occupations, Women: NSA
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 2012 04 49477·
 2012 03 96509.
 2012 02 15521.
 2012 01 86488.
 2011 12  10506.
 2011 11  90529·
 2011 10  33579·
 2011 09  74556.
 2011 08  30590·
 2011 07  76602·
 2011 06  45560·
 2011 05  54570.
 2011 04  62515·
 2011 03  36502.
 2011 02  64562.
 2011 01  71556·
 2010 12 79555.
 2010 11 77623·
 2010 10 29586·
 2010 09 94589.
 2010 08 82646·
 2010 07 30657·
 2010 06 2614.
 2010 05 16589.
 2010 04 97572·
 2010 03 52606·
 2010 02 71611·
 2010 01 58628.
 2009 12  74554.
 2009 11  24591·
 2009 10  50571·
 2009 09  62572·
 2009 08  89624·
 2009 07  53665.
 2009 06  76650·
 2009 05  99586·
 2009 04  41587.
 2009 03  71510.
 2009 02  11529·
 2009 01  62610.
 2008 12 57612·
 2008 11 34582.
 2008 10 44645·
 2008 09 71631·
 2008 08 86628·
 2008 07 25665·
 2008 06 88664·
 2008 05 69639.
 2008 04 4629·
 2008 03 48594·
 2008 02 81595.
 2008 01 26628·
 2007 12  11675.
 2007 11  37710.
 2007 10  84720.
 2007 09  37705·
 2007 08  34667.
 2007 07  48719·
 2007 06  88627.
 2007 05  19647.
 2007 04  21619·
 2007 03  63582.
 2007 02  3631.
 2007 01  17640.
 2006 12 49776·
 2006 11 88813.
 2006 10 69813.
 2006 09 1790·
 2006 08 18847·
 2006 07 54847·
 2006 06 48828.
 2006 05 65727.
 2006 04 53653.
 2006 03 19612·
 2006 02 27632.
 2006 01 27682·
 2005 12  5659·
 2005 11  65702·
 2005 10  20760·
 2005 09  32805.
 2005 08  50770·
 2005 07  96755.
 2005 06  66714·
 2005 05  48704.
 2005 04  86684·
 2005 03  47697·
 2005 02  25668·
 2005 01  71640·
 2004 12 41634·
 2004 11 72710.
 2004 10 87685.
 2004 09 19682·
 2004 08 64717.
 2004 07 54684·
 2004 06 65652·
 2004 05 37659.
 2004 04 30628.
 2004 03 99607.
 2004 02 95601·
 2004 01 93565·
 2003 12  41622.
 2003 11  40664·
 2003 10  42748.
 2003 09  82745·
 2003 08  21702.
 2003 07  31644.
 2003 06  93643.
 2003 05  22624·
 2003 04  21651.
 2003 03  57661·
 2003 02  61626.
 2003 01  58646.
 2002 12 16639.
 2002 11 21668·
 2002 10 84728.
 2002 09 60731·
 2002 08 7703·
 2002 07 58745·
 2002 06 24731·
 2002 05 21678·
 2002 04 19679.
 2002 03 23655.
 2002 02 70638.
 2002 01 60658.
 2001 12  2643.
 2001 11  97672·
 2001 10  34719.
 2001 09  21688.
 2001 08  32811.
 2001 07  88754.
 2001 06  55748.
 2001 05  74725.
 2001 04  9635·
 2001 03  27612.
 2001 02  95542·
 2001 01  13559.
 2000 12 59640.
 2000 11 70669.
 2000 10 43709.
 2000 09 57710·
 2000 08 32773.
 2000 07 0752·
 2000 06 10766.
 2000 05 50789.
 2000 04 3773.
 2000 03 23704·
 2000 02 35699.
 2000 01 61664.
 1999 12  73688·
 1999 11  71691·
 1999 10  81717.
 1999 09  84681.
 1999 08  67701·
 1999 07  0705·
 1999 06  36713·
 1999 05  39692·
 1999 04  36694.
 1999 03  92671·
 1999 02  12676·
 1999 01  70664.
 1998 12 55681·
 1998 11 53678·
 1998 10 48677.
 1998 09 45689·
 1998 08 24697·
 1998 07 16711·
 1998 06 6691·
 1998 05 59687.
 1998 04 68632·
 1998 03 36628·
 1998 02 75632.
 1998 01 31630.
 1997 12  39673·
 1997 11  96680.
 1997 10  67687.
 1997 09  6695·
 1997 08  11713.
 1997 07  2726.
 1997 06  20729·
 1997 05  51682·
 1997 04  85675·
 1997 03  86645·
 1997 02  96620.
 1997 01  62636.
 1996 12 87639.
 1996 11 4642.
 1996 10 85682·
 1996 09 58707·
 1996 08 66714.
 1996 07 39734·
 1996 06 98706·
 1996 05 83687.
 1996 04 98659.
 1996 03 96628·
 1996 02 74610.
 1996 01 5612·
 1995 12  83638·
 1995 11  7661·
 1995 10  76692.
 1995 09  19683.
 1995 08  48701.
 1995 07  29712·
 1995 06  91706·
 1995 05  45694.
 1995 04  41667.
 1995 03  44648.
 1995 02  32637.
 1995 01  26647·
 1994 12 40675.
 1994 11 58684.
 1994 10 37704·
 1994 09 31695·
 1994 08 43713·
 1994 07 3702.
 1994 06 70687·
 1994 05 55688.
 1994 04 77663.
 1994 03 36623.
 1994 02 17625.
 1994 01 17603.
 1993 12  91597·
 1993 11  38610.
 1993 10  93597.
 1993 09  60604.
 1993 08  62635.
 1993 07  15655.
 1993 06  34623.
 1993 05  54592.
 1993 04  89556·
 1993 03  0538.
 1993 02  3545·
 1993 01  94560·
 1992 12 98585·
 1992 11 49625·
 1992 10 90599·
 1992 09 98588.
 1992 08 40637.
 1992 07 44647.
 1992 06 5654·
 1992 05 10615·
 1992 04 89591.
 1992 03 91559·
 1992 02 88557·
 1992 01 0560.
 1991 12  46565.
 1991 11  22605.
 1991 10  2599.
 1991 09  62610·
 1991 08  37632·
 1991 07  94644·
 1991 06  33651·
 1991 05  14601·
 1991 04  12587·
 1991 03  88579·
 1991 02  95582·
 1991 01  2568·
 1990 12 46591·
 1990 11 11593·
 1990 10 26604·
 1990 09 94618·
 1990 08 40655·
 1990 07 95639·
 1990 06 89668.
 1990 05 83608.
 1990 04 19593·
 1990 03 96592·
 1990 02 72567·
 1990 01 91564.
 1989 12  34595.
 1989 11  96629·
 1989 10  87635·
 1989 09  60643·
 1989 08  59646·
 1989 07  1659.
 1989 06  73653·
 1989 05  59618·
 1989 04  96584·
 1989 03  43594.
 1989 02  91592·
 1989 01  83599.
 1988 12 69596·
 1988 11 79612·
 1988 10 32632.
 1988 09 52623.
 1988 08 29632·
 1988 07 91643.
 1988 06 6658·
 1988 05 8636·
 1988 04 52602·
 1988 03 85583.
 1988 02 52568·
 1988 01 22568.
 1987 12  37584.
 1987 11  92602·
 1987 10  33612.
 1987 09  87601.
 1987 08  11639.
 1987 07  70667·
 1987 06  37655.
 1987 05  23628.
 1987 04  23589·
 1987 03  99569·
 1987 02  77546·
 1987 01  73534·
 1986 12 50586·
 1986 11 88584·
 1986 10 90607·
 1986 09 7589·
 1986 08 90635·
 1986 07 66643·
 1986 06 40637·
 1986 05 19604.
 1986 04 71561.
 1986 03 92551·
 1986 02 14527·
 1986 01 29558·
 1985 12  42554.
 1985 11  46572·
 1985 10  25596.
 1985 09  79601·
 1985 08  78628.
 1985 07  35640·
 1985 06  11616·
 1985 05  40583·
 1985 04  80573·
 1985 03  91552.
 1985 02  35542·
 1985 01  5529·
 1984 12 73566.
 1984 11 70574.
 1984 10 86590·
 1984 09 94612.
 1984 08 9618·
 1984 07 55651·
 1984 06 75645·
 1984 05 51598·
 1984 04 61562·
 1984 03 51533.
 1984 02 40529·
 1984 01 45529.
 1983 12  31567·
 1983 11  91582.
 1983 10  46584·
 1983 09  70600.
 1983 08  44624.
 1983 07  31652·
 1983 06  79616.
 1983 05  45552.
 1983 04  50535.
 1983 03  52494·
 1983 02  52483.
 1983 01  14474.
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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: Natural Resources, Construction, and Maintenance 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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