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 Series Title: Percent Distribution: Employed in Construction and Extraction Occupations, Hispanic or Latino Men: NSA
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 2012 04 7715.0
 2012 03 3215.8
 2012 02 7616.0
 2012 01 7316·0
 2011 12  1217.5
 2011 11  8618·4
 2011 10  8717.2
 2011 09  3817·8
 2011 08  4517·9
 2011 07  6917.4
 2011 06  3017.0
 2011 05  3416.8
 2011 04  2616·7
 2011 03  6316.7
 2011 02  1816.6
 2011 01  415.7
 2010 12 3116·7
 2010 11 7617·0
 2010 10 8916.0
 2010 09 1717.4
 2010 08 5918·0
 2010 07 3818·6
 2010 06 519.2
 2010 05 6718.1
 2010 04 3617.8
 2010 03 617.5
 2010 02 5616.7
 2010 01 7417.0
 2009 12  1316·9
 2009 11  6217.3
 2009 10  5318·1
 2009 09  8218·3
 2009 08  6517·8
 2009 07  1317.8
 2009 06  3418.9
 2009 05  5917.9
 2009 04  9218.5
 2009 03  9018.1
 2009 02  6317·6
 2009 01  018·8
 2008 12 2019·3
 2008 11 5019·3
 2008 10 2820·0
 2008 09 2420.9
 2008 08 9920·8
 2008 07 7521.1
 2008 06 4020.9
 2008 05 7520·1
 2008 04 421.3
 2008 03 7021.2
 2008 02 3921.4
 2008 01 2321·5
 2007 12  3721·7
 2007 11  6922·1
 2007 10  8621.8
 2007 09  6122.0
 2007 08  2122·3
 2007 07  2622·6
 2007 06  7122.9
 2007 05  923·2
 2007 04  823·5
 2007 03  2524.4
 2007 02  524·1
 2007 01  1022·9
 2006 12 7423·8
 2006 11 7123.0
 2006 10 2622·9
 2006 09 3523.7
 2006 08 1822.3
 2006 07 9722·4
 2006 06 9822·9
 2006 05 7623.6
 2006 04 6523.7
 2006 03 5922.3
 2006 02 922·9
 2006 01 5421·5
 2005 12  6721·5
 2005 11  3822·8
 2005 10  7121.9
 2005 09  1121·8
 2005 08  9821.5
 2005 07  4221·4
 2005 06  2220·7
 2005 05  1920·6
 2005 04  6020.3
 2005 03  120·7
 2005 02  2521.1
 2005 01  6919.7
 2004 12 7719.8
 2004 11 7320·8
 2004 10 6819.0
 2004 09 8319·4
 2004 08 9919.2
 2004 07 3919.2
 2004 06 6420·3
 2004 05 319.7
 2004 04 319·4
 2004 03 619.0
 2004 02 5118·3
 2004 01 018·4
 2003 12  8918·5
 2003 11  618·6
 2003 10  9219·0
 2003 09  6619.2
 2003 08  8119·4
 2003 07  9418·3
 2003 06  7419·0
 2003 05  2217·8
 2003 04  3117·2
 2003 03  5417·1
 2003 02  1015.9
 2003 01  1216·4
 2002 12 1316.8
 2002 11 9018.1
 2002 10 3917.7
 2002 09 317·9
 2002 08 2917.1
 2002 07 3616.7
 2002 06 2317.3
 2002 05 9217.2
 2002 04 316.9
 2002 03 4717.6
 2002 02 5018·5
 2002 01 9718.4
 2001 12  8618·5
 2001 11  617·8
 2001 10  3317.2
 2001 09  6117·2
 2001 08  5417·2
 2001 07  1817.4
 2001 06  917.8
 2001 05  5517.0
 2001 04  615.8
 2001 03  1616.1
 2001 02  4316·0
 2001 01  7115.6
 2000 12 6816.0
 2000 11 5715·5
 2000 10 2116.1
 2000 09 3116.1
 2000 08 9017·0
 2000 07 2115·9
 2000 06 5716·6
 2000 05 7615.9
 2000 04 4914.2
 2000 03 1615.0
 2000 02 8914·6
 2000 01 7814·7
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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: Percent Distribution: Employed in Construction and Extraction Occupations, Hispanic or Latino Men: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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