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 Series Title: Employment Level: Mining, quarrying, and oil and gas extraction: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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 2012 04 891005.
 2012 03 68943.
 2012 02 12859·
 2012 01 43766·
 2011 12  6819·
 2011 11  48861·
 2011 10  19849.
 2011 09  0844·
 2011 08  50886·
 2011 07  88854.
 2011 06  90871·
 2011 05  19831·
 2011 04  75813.
 2011 03  71754·
 2011 02  37705.
 2011 01  43719·
 2010 12 53699·
 2010 11 3753·
 2010 10 97798.
 2010 09 41769.
 2010 08 87801.
 2010 07 16737.
 2010 06 35750.
 2010 05 8727·
 2010 04 1688·
 2010 03 66668·
 2010 02 38683·
 2010 01 62691·
 2009 12  46682·
 2009 11  36722.
 2009 10  19707·
 2009 09  49662.
 2009 08  97722.
 2009 07  32676·
 2009 06  16651.
 2009 05  36652.
 2009 04  55672·
 2009 03  84755·
 2009 02  91784.
 2009 01  19804.
 2008 12 45855.
 2008 11 52852.
 2008 10 32900.
 2008 09 16893·
 2008 08 17886.
 2008 07 14866.
 2008 06 54832·
 2008 05 71795.
 2008 04 46757.
 2008 03 79757.
 2008 02 92735·
 2008 01 54698.
 2007 12  34713·
 2007 11  79695·
 2007 10  11711.
 2007 09  58754.
 2007 08  6715.
 2007 07  68767.
 2007 06  98753·
 2007 05  4739.
 2007 04  11781·
 2007 03  31759.
 2007 02  65726.
 2007 01  34726·
 2006 12 26722·
 2006 11 72745·
 2006 10 52681·
 2006 09 19661·
 2006 08 50714·
 2006 07 23701.
 2006 06 20701·
 2006 05 52687.
 2006 04 9671.
 2006 03 42663·
 2006 02 58642.
 2006 01 52652.
 2005 12  54657·
 2005 11  10622.
 2005 10  79613·
 2005 09  64608.
 2005 08  60617·
 2005 07  33588.
 2005 06  20631·
 2005 05  56672.
 2005 04  27682.
 2005 03  43604·
 2005 02  44620·
 2005 01  24579.
 2004 12 81657.
 2004 11 97600·
 2004 10 40573·
 2004 09 85566.
 2004 08 71554.
 2004 07 77525·
 2004 06 20530·
 2004 05 84494.
 2004 04 75499.
 2004 03 89487.
 2004 02 21469·
 2004 01 91508.
 2003 12  91536·
 2003 11  64547.
 2003 10  8522·
 2003 09  99532.
 2003 08  45508.
 2003 07  60513·
 2003 06  67501.
 2003 05  28499.
 2003 04  88508·
 2003 03  57535·
 2003 02  13544.
 2003 01  21558·
 2002 12 94543.
 2002 11 64556·
 2002 10 81534.
 2002 09 48493.
 2002 08 66485·
 2002 07 10470·
 2002 06 36476·
 2002 05 3503.
 2002 04 27526.
 2002 03 53517·
 2002 02 66453·
 2002 01 6468·
 2001 12  28499·
 2001 11  75567·
 2001 10  82597.
 2001 09  99546.
 2001 08  44556·
 2001 07  83572·
 2001 06  24538·
 2001 05  53554.
 2001 04  77509.
 2001 03  7495.
 2001 02  54511.
 2001 01  61517·
 2000 12 51525.
 2000 11 4548·
 2000 10 60471·
 2000 09 43406.
 2000 08 17425·
 2000 07 57451·
 2000 06 54487.
 2000 05 43480·
 2000 04 50476·
 2000 03 71466.
 2000 02 75461·
 2000 01 30501·
 1999 12  50523.
 1999 11  79523.
 1999 10  86557.
 1999 09  98558·
 1999 08  43562·
 1999 07  36567.
 1999 06  75521.
 1999 05  66509·
 1999 04  80494·
 1999 03  26527·
 1999 02  53500·
 1999 01  78519·
 1998 12 35533.
 1998 11 54563.
 1998 10 60586.
 1998 09 4573·
 1998 08 9570·
 1998 07 51591·
 1998 06 58609.
 1998 05 38595·
 1998 04 28552.
 1998 03 75554·
 1998 02 35575·
 1998 01 98584·
 1997 12  42637.
 1997 11  8623.
 1997 10  4593.
 1997 09  29605.
 1997 08  25594.
 1997 07  55568·
 1997 06  3597·
 1997 05  1573·
 1997 04  80547.
 1997 03  49576.
 1997 02  95556.
 1997 01  6507.
 1996 12 30561.
 1996 11 46539.
 1996 10 67530·
 1996 09 65548.
 1996 08 27533.
 1996 07 28522.
 1996 06 32522.
 1996 05 22506.
 1996 04 46473.
 1996 03 1523·
 1996 02 29543·
 1996 01 45553·
 1995 12  87598.
 1995 11  98542·
 1995 10  20545·
 1995 09  28530·
 1995 08  76545·
 1995 07  74546.
 1995 06  94575·
 1995 05  92623.
 1995 04  62545.
 1995 03  11570·
 1995 02  62591·
 1995 01  80631.
 1994 12 22657·
 1994 11 17620.
 1994 10 64610.
 1994 09 61572·
 1994 08 56604.
 1994 07 22601·
 1994 06 61611·
 1994 05 29612.
 1994 04 88593·
 1994 03 83597.
 1994 02 42568·
 1994 01 4586.
 1993 12  71634.
 1993 11  82627·
 1993 10  20627.
 1993 09  29615·
 1993 08  78622.
 1993 07  26646·
 1993 06  32634·
 1993 05  75576.
 1993 04  11592.
 1993 03  46598·
 1993 02  41567·
 1993 01  34571.
 1992 12 94579·
 1992 11 99613.
 1992 10 36626.
 1992 09 26597.
 1992 08 78569.
 1992 07 67622·
 1992 06 29582·
 1992 05 95579.
 1992 04 39600.
 1992 03 55598.
 1992 02 58623·
 1992 01 11620·
 1991 12  77616.
 1991 11  96619.
 1991 10  86656·
 1991 09  67615.
 1991 08  17681.
 1991 07  47691.
 1991 06  0649·
 1991 05  82645·
 1991 04  10645.
 1991 03  89693.
 1991 02  15696·
 1991 01  2668·
 1990 12 31635.
 1990 11 28689.
 1990 10 67635·
 1990 09 94615.
 1990 08 80693.
 1990 07 97651·
 1990 06 20678.
 1990 05 53671·
 1990 04 83660.
 1990 03 51650·
 1990 02 61648·
 1990 01 99637·
 1989 12  90647·
 1989 11  74673·
 1989 10  3600·
 1989 09  75617·
 1989 08  77659·
 1989 07  70665.
 1989 06  85699.
 1989 05  50727.
 1989 04  44657·
 1989 03  73618.
 1989 02  68593.
 1989 01  19583·
 1988 12 17620.
 1988 11 38632·
 1988 10 42673·
 1988 09 0673.
 1988 08 45675·
 1988 07 47713·
 1988 06 19690.
 1988 05 39631·
 1988 04 4677.
 1988 03 7659.
 1988 02 36716·
 1988 01 3682·
 1987 12  95720.
 1987 11  49735.
 1987 10  57732.
 1987 09  88729·
 1987 08  43766·
 1987 07  31772.
 1987 06  69766.
 1987 05  11628·
 1987 04  98680·
 1987 03  33714·
 1987 02  86700·
 1987 01  19741·
 1986 12 36714.
 1986 11 63723.
 1986 10 45732·
 1986 09 79739.
 1986 08 57760.
 1986 07 51788·
 1986 06 10825.
 1986 05 85796·
 1986 04 87792.
 1986 03 55825·
 1986 02 67811·
 1986 01 57786·
 1985 12  75762.
 1985 11  57801·
 1985 10  30779.
 1985 09  40805.
 1985 08  98892·
 1985 07  62862.
 1985 06  38881.
 1985 05  1899·
 1985 04  56865·
 1985 03  4807·
 1985 02  52745.
 1985 01  36751·
 1984 12 73808·
 1984 11 37788·
 1984 10 61808·
 1984 09 63906·
 1984 08 1877·
 1984 07 44875·
 1984 06 77901·
 1984 05 27817·
 1984 04 15789·
 1984 03 32776·
 1984 02 39782·
 1984 01 97768.
 1983 12  15764·
 1983 11  31781.
 1983 10  9768.
 1983 09  66782·
 1983 08  27844·
 1983 07  0826.
 1983 06  75837.
 1983 05  54802·
 1983 04  1809·
 1983 03  19819·
 1983 02  51793·
 1983 01  6795·
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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: Mining, quarrying, and oil and gas extraction: 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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