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 Series Title: Employed: Mining, Black or African American: NSA
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 2012 04 2350.
 2012 03 9847.
 2012 02 5446·
 2012 01 8935.
 2011 12  2436.
 2011 11  8037.
 2011 10  8334·
 2011 09  8725·
 2011 08  2729.
 2011 07  9830·
 2011 06  4944.
 2011 05  2039·
 2011 04  8531·
 2011 03  3337·
 2011 02  6846·
 2011 01  3454.
 2010 12 7363.
 2010 11 9358.
 2010 10 7554·
 2010 09 9845·
 2010 08 9128·
 2010 07 921.
 2010 06 3425.
 2010 05 532.
 2010 04 6435·
 2010 03 3715·
 2010 02 3434·
 2010 01 7535.
 2009 12  4338.
 2009 11  5945.
 2009 10  8630·
 2009 09  5225.
 2009 08  329·
 2009 07  8320.
 2009 06  2928.
 2009 05  434·
 2009 04  4528·
 2009 03  3825·
 2009 02  2633·
 2009 01  2742·
 2008 12 9346.
 2008 11 8343.
 2008 10 6437·
 2008 09 3937.
 2008 08 9946.
 2008 07 9949.
 2008 06 5755·
 2008 05 8561.
 2008 04 3853.
 2008 03 9152·
 2008 02 4235·
 2008 01 3332·
 2007 12  1035·
 2007 11  9321.
 2007 10  8228.
 2007 09  7841.
 2007 08  4031·
 2007 07  6143·
 2007 06  6538·
 2007 05  3825.
 2007 04  8049.
 2007 03  7621·
 2007 02  425.
 2007 01  5922.
 2006 12 322.
 2006 11 4522·
 2006 10 3730.
 2006 09 921·
 2006 08 1233·
 2006 07 9935·
 2006 06 2743·
 2006 05 8253.
 2006 04 3046.
 2006 03 9646.
 2006 02 6227·
 2006 01 9722.
 2005 12  927·
 2005 11  1623·
 2005 10  5422.
 2005 09  020·
 2005 08  2425.
 2005 07  6735.
 2005 06  4143·
 2005 05  5752.
 2005 04  7552.
 2005 03  8027.
 2005 02  8721.
 2005 01  6515·
 2004 12 8723.
 2004 11 1224·
 2004 10 7940·
 2004 09 4142·
 2004 08 1234·
 2004 07 4434·
 2004 06 3020·
 2004 05 3118.
 2004 04 2422·
 2004 03 839·
 2004 02 7914.
 2004 01 327.
 2003 12  2422.
 2003 11  6234.
 2003 10  8718·
 2003 09  5127.
 2003 08  3720.
 2003 07  3514·
 2003 06  4319·
 2003 05  9518·
 2003 04  1416·
 2003 03  8520.
 2003 02  5914·
 2003 01  7922.
 2002 12 3019·
 2002 11 1918.
 2002 10 7421.
 2002 09 7124·
 2002 08 8520·
 2002 07 6923.
 2002 06 5119.
 2002 05 6624.
 2002 04 513·
 2002 03 9016·
 2002 02 7710.
 2002 01 84
 2001 12  4017·
 2001 11  6428.
 2001 10  6527.
 2001 09  6833·
 2001 08  6630·
 2001 07  9923.
 2001 06  5328.
 2001 05  8728.
 2001 04  8315.
 2001 03  2611·
 2001 02  56.
 2001 01  357.
 2000 12 1615.
 2000 11 126.
 2000 10 733.
 2000 09 3228·
 2000 08 1534·
 2000 07 728.
 2000 06 7331·
 2000 05 2221·
 2000 04 5717·
 2000 03 4916.
 2000 02 4113·
 2000 01 7416.
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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, Black or African American: 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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