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 Series Title: Employed: Mining, Women: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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 2012 04 19111·
 2012 03 75101.
 2012 02 54107·
 2012 01 3482·
 2011 12  17104.
 2011 11  799·
 2011 10  9104.
 2011 09  6091·
 2011 08  76117·
 2011 07  31118.
 2011 06  58107.
 2011 05  78113·
 2011 04  4484·
 2011 03  2897·
 2011 02  1575·
 2011 01  3281.
 2010 12 9980.
 2010 11 7122.
 2010 10 18125·
 2010 09 92116.
 2010 08 4099.
 2010 07 9790.
 2010 06 2891.
 2010 05 52100.
 2010 04 9296.
 2010 03 56104.
 2010 02 35106.
 2010 01 3182.
 2009 12  782.
 2009 11  6686·
 2009 10  5191.
 2009 09  7399.
 2009 08  5992·
 2009 07  3382.
 2009 06  1476·
 2009 05  4794.
 2009 04  49118.
 2009 03  88108.
 2009 02  87102.
 2009 01  48101·
 2008 12 298·
 2008 11 89106.
 2008 10 58134·
 2008 09 94133.
 2008 08 68144.
 2008 07 17117.
 2008 06 3997·
 2008 05 3089.
 2008 04 2478.
 2008 03 7876.
 2008 02 69100.
 2008 01 2591·
 2007 12  6989·
 2007 11  4105.
 2007 10  1190.
 2007 09  72107·
 2007 08  29115·
 2007 07  53111.
 2007 06  52100·
 2007 05  9288.
 2007 04  54105.
 2007 03  595.
 2007 02  5100·
 2007 01  28110·
 2006 12 19107·
 2006 11 67100.
 2006 10 885·
 2006 09 4977.
 2006 08 2691·
 2006 07 71107·
 2006 06 24102·
 2006 05 5079·
 2006 04 9987·
 2006 03 7472·
 2006 02 4181.
 2006 01 5082.
 2005 12  8883·
 2005 11  5783.
 2005 10  7271.
 2005 09  9277·
 2005 08  7085.
 2005 07  2682·
 2005 06  5493·
 2005 05  4781.
 2005 04  4479.
 2005 03  1489.
 2005 02  5275·
 2005 01  757·
 2004 12 3680·
 2004 11 7769·
 2004 10 5169·
 2004 09 9372·
 2004 08 9655.
 2004 07 9646.
 2004 06 6649.
 2004 05 4842.
 2004 04 041.
 2004 03 7941.
 2004 02 3452.
 2004 01 4147.
 2003 12  4877.
 2003 11  5786·
 2003 10  1958·
 2003 09  6764·
 2003 08  6665.
 2003 07  8685·
 2003 06  781·
 2003 05  4580·
 2003 04  476.
 2003 03  4963.
 2003 02  1272.
 2003 01  1968.
 2002 12 3661·
 2002 11 5173.
 2002 10 7354.
 2002 09 5856·
 2002 08 6550.
 2002 07 2555·
 2002 06 5068·
 2002 05 5675·
 2002 04 1476.
 2002 03 2770.
 2002 02 3451·
 2002 01 3342·
 2001 12  3547·
 2001 11  3982·
 2001 10  36104·
 2001 09  3295.
 2001 08  294.
 2001 07  6796.
 2001 06  9472·
 2001 05  2267·
 2001 04  1760·
 2001 03  4458.
 2001 02  7263.
 2001 01  9956·
 2000 12 473.
 2000 11 2576.
 2000 10 5656·
 2000 09 8046·
 2000 08 1556.
 2000 07 9242.
 2000 06 6158.
 2000 05 1042.
 2000 04 2334·
 2000 03 5356.
 2000 02 2456.
 2000 01 5962.
 1999 12  3170.
 1999 11  3862.
 1999 10  760.
 1999 09  2059.
 1999 08  6256·
 1999 07  565·
 1999 06  056.
 1999 05  1252.
 1999 04  6969.
 1999 03  3474·
 1999 02  1454.
 1999 01  8066.
 1998 12 2562.
 1998 11 3368·
 1998 10 8777·
 1998 09 9372.
 1998 08 3175·
 1998 07 3383·
 1998 06 8384.
 1998 05 4575.
 1998 04 1367·
 1998 03 9169·
 1998 02 8970.
 1998 01 5468.
 1997 12  2275.
 1997 11  8872·
 1997 10  1873.
 1997 09  6680·
 1997 08  3186·
 1997 07  3283·
 1997 06  872·
 1997 05  4970·
 1997 04  4371.
 1997 03  5382.
 1997 02  2386.
 1997 01  9865.
 1996 12 8271·
 1996 11 963.
 1996 10 4963·
 1996 09 3171.
 1996 08 9865·
 1996 07 8173.
 1996 06 067·
 1996 05 9358·
 1996 04 6854.
 1996 03 7559·
 1996 02 1365·
 1996 01 5367.
 1995 12  9174·
 1995 11  2471·
 1995 10  5266.
 1995 09  577·
 1995 08  9377.
 1995 07  8473·
 1995 06  564·
 1995 05  6866·
 1995 04  2459·
 1995 03  3667.
 1995 02  8370·
 1995 01  8680.
 1994 12 6090.
 1994 11 8881·
 1994 10 2691.
 1994 09 2990·
 1994 08 190.
 1994 07 7084·
 1994 06 9679·
 1994 05 9184.
 1994 04 7282.
 1994 03 4074·
 1994 02 8185·
 1994 01 9085.
 1993 12  2497.
 1993 11  8091.
 1993 10  9473·
 1993 09  7182.
 1993 08  3287.
 1993 07  95102.
 1993 06  7387·
 1993 05  382·
 1993 04  9794·
 1993 03  1790.
 1993 02  8082.
 1993 01  8080.
 1992 12 4373·
 1992 11 478·
 1992 10 482·
 1992 09 2184.
 1992 08 2267·
 1992 07 3691·
 1992 06 5785·
 1992 05 71100.
 1992 04 985·
 1992 03 2195.
 1992 02 7792·
 1992 01 9985.
 1991 12  493·
 1991 11  8987·
 1991 10  2895.
 1991 09  98102.
 1991 08  3293.
 1991 07  99110·
 1991 06  9797·
 1991 05  88109.
 1991 04  45104·
 1991 03  30122·
 1991 02  96103.
 1991 01  13105.
 1990 12 1786·
 1990 11 91101.
 1990 10 6588.
 1990 09 4272.
 1990 08 4875·
 1990 07 1288·
 1990 06 6687·
 1990 05 69102·
 1990 04 64105.
 1990 03 5094·
 1990 02 8699·
 1990 01 1494·
 1989 12  1684.
 1989 11  8891·
 1989 10  3884·
 1989 09  2086·
 1989 08  79108.
 1989 07  30101·
 1989 06  61106·
 1989 05  57114·
 1989 04  5397·
 1989 03  1084·
 1989 02  1875·
 1989 01  1985.
 1988 12 6485.
 1988 11 8498.
 1988 10 9589.
 1988 09 2587.
 1988 08 6293.
 1988 07 3391.
 1988 06 7111.
 1988 05 1993.
 1988 04 22101·
 1988 03 64114.
 1988 02 91122.
 1988 01 70101·
 1987 12  45106.
 1987 11  987·
 1987 10  1080·
 1987 09  7392·
 1987 08  56106.
 1987 07  24102·
 1987 06  51106.
 1987 05  4683.
 1987 04  6102·
 1987 03  91101.
 1987 02  28101·
 1987 01  3499·
 1986 12 7078·
 1986 11 1791.
 1986 10 7999·
 1986 09 6113·
 1986 08 48127.
 1986 07 33120.
 1986 06 66137·
 1986 05 55107.
 1986 04 66121.
 1986 03 96118.
 1986 02 77108.
 1986 01 2111.
 1985 12  74100·
 1985 11  88104.
 1985 10  2697·
 1985 09  90112.
 1985 08  48127.
 1985 07  14120·
 1985 06  50121.
 1985 05  88124.
 1985 04  88118·
 1985 03  8107.
 1985 02  12102·
 1985 01  91102.
 1984 12 19100.
 1984 11 2593.
 1984 10 0110·
 1984 09 18132·
 1984 08 91145·
 1984 07 47135·
 1984 06 26130·
 1984 05 12131.
 1984 04 81112.
 1984 03 81127·
 1984 02 29122·
 1984 01 43119.
 1983 12  89111.
 1983 11  58124.
 1983 10  72121·
 1983 09  6127.
 1983 08  39139·
 1983 07  35139.
 1983 06  43134.
 1983 05  18133.
 1983 04  82119·
 1983 03  94107.
 1983 02  53107·
 1983 01  25119·
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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: Employed: Mining, 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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