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 Series Title: Employed: Mining, Hispanic or Latino: NSA
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 2012 04 87180·
 2012 03 67160.
 2012 02 72139·
 2012 01 68140.
 2011 12  44134.
 2011 11  92153·
 2011 10  5132·
 2011 09  6130.
 2011 08  99113.
 2011 07  47117.
 2011 06  70148.
 2011 05  73141·
 2011 04  2148·
 2011 03  13135.
 2011 02  79112.
 2011 01  15102·
 2010 12 29118.
 2010 11 98114·
 2010 10 72126·
 2010 09 0126·
 2010 08 79110.
 2010 07 3278·
 2010 06 11109·
 2010 05 2297.
 2010 04 78103.
 2010 03 72133.
 2010 02 83129·
 2010 01 1100·
 2009 12  77102.
 2009 11  0100.
 2009 10  292·
 2009 09  80122·
 2009 08  50142·
 2009 07  23117·
 2009 06  695·
 2009 05  2976·
 2009 04  9994·
 2009 03  72114·
 2009 02  57112.
 2009 01  42139.
 2008 12 49108.
 2008 11 4125·
 2008 10 43157·
 2008 09 38156·
 2008 08 50178.
 2008 07 0127·
 2008 06 77146.
 2008 05 62113·
 2008 04 77106·
 2008 03 67122.
 2008 02 97102·
 2008 01 8183·
 2007 12  3179.
 2007 11  3774·
 2007 10  6777.
 2007 09  9187·
 2007 08  38100.
 2007 07  6791·
 2007 06  7386·
 2007 05  11115·
 2007 04  47112·
 2007 03  38133·
 2007 02  29128·
 2007 01  8499.
 2006 12 3489.
 2006 11 5687·
 2006 10 7376·
 2006 09 8085.
 2006 08 0106.
 2006 07 54110.
 2006 06 67112.
 2006 05 93122.
 2006 04 6994.
 2006 03 8797·
 2006 02 9979·
 2006 01 4365·
 2005 12  9354.
 2005 11  3862.
 2005 10  8387·
 2005 09  72112·
 2005 08  46107.
 2005 07  1484.
 2005 06  5684·
 2005 05  5284.
 2005 04  3087·
 2005 03  4598·
 2005 02  8195.
 2005 01  7497·
 2004 12 68109·
 2004 11 8971.
 2004 10 4689.
 2004 09 6060.
 2004 08 1346·
 2004 07 2741·
 2004 06 6440·
 2004 05 5252·
 2004 04 3947·
 2004 03 6657.
 2004 02 7261.
 2004 01 2056.
 2003 12  4663·
 2003 11  3755·
 2003 10  3546·
 2003 09  5945·
 2003 08  6043.
 2003 07  9830·
 2003 06  3932.
 2003 05  8767·
 2003 04  3274·
 2003 03  2985·
 2003 02  9785.
 2003 01  4859·
 2002 12 3638·
 2002 11 3763·
 2002 10 4765·
 2002 09 1158·
 2002 08 7458·
 2002 07 5533·
 2002 06 5346.
 2002 05 7241.
 2002 04 7055·
 2002 03 3869·
 2002 02 253·
 2002 01 4860·
 2001 12  7558.
 2001 11  6845.
 2001 10  763·
 2001 09  8556.
 2001 08  6451·
 2001 07  5367·
 2001 06  651.
 2001 05  5037·
 2001 04  3844.
 2001 03  2344.
 2001 02  6133·
 2001 01  3942·
 2000 12 2236.
 2000 11 3542·
 2000 10 6142·
 2000 09 7045·
 2000 08 6645·
 2000 07 7155·
 2000 06 1940·
 2000 05 8732·
 2000 04 4748·
 2000 03 3848.
 2000 02 7249.
 2000 01 6159·
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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, Hispanic or Latino: 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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