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 Series Title: Employment Level: White, Natural Resources, Construction, and Maintenance Occupations: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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 2000 01 1911385·
 2000 02 2011463·
 2000 03 6311413·
 2000 04 5811803.
 2000 05 3812083.
 2000 06 3612545.
 2000 07 9212843.
 2000 08 7213008.
 2000 09 2312496.
 2000 10 5112395·
 2000 11 2212002.
 2000 12 8411934.
 2001 01  2511520·
 2001 02  4711447.
 2001 03  6511845·
 2001 04  3912082.
 2001 05  1912371·
 2001 06  2812605.
 2001 07  6012962·
 2001 08  512804·
 2001 09  612609.
 2001 10  2912626·
 2001 11  7012238·
 2001 12  7812041·
 2002 01 1011614·
 2002 02 411574·
 2002 03 8211523·
 2002 04 7611667.
 2002 05 8311907·
 2002 06 3612097·
 2002 07 912240·
 2002 08 4412242.
 2002 09 012573.
 2002 10 3112594.
 2002 11 9012443·
 2002 12 5012374.
 2003 01  6011964·
 2003 02  2211933.
 2003 03  8712014.
 2003 04  8912100·
 2003 05  9012419.
 2003 06  6312724.
 2003 07  8813030·
 2003 08  7913281.
 2003 09  4013232.
 2003 10  3913118.
 2003 11  612873·
 2003 12  6512512.
 2004 01 8612325.
 2004 02 5412409·
 2004 03 7812341·
 2004 04 1712589.
 2004 05 2612697·
 2004 06 4013267.
 2004 07 6913336·
 2004 08 2813489·
 2004 09 8813051.
 2004 10 5513193.
 2004 11 6513384.
 2004 12 1713059.
 2005 01  2212771.
 2005 02  7912925.
 2005 03  7913156·
 2005 04  2813358.
 2005 05  213589.
 2005 06  2013795.
 2005 07  5013864·
 2005 08  3114111·
 2005 09  2913953.
 2005 10  914044.
 2005 11  4013925·
 2005 12  2013489.
 2006 01 2913357·
 2006 02 213460·
 2006 03 3713470·
 2006 04 1413887.
 2006 05 5214049·
 2006 06 8214319.
 2006 07 5414460.
 2006 08 5714544.
 2006 09 7314452.
 2006 10 5614260.
 2006 11 3014084·
 2006 12 1813957·
 2007 01  9313515·
 2007 02  5313684.
 2007 03  2613679.
 2007 04  9113569.
 2007 05  3713789·
 2007 06  3214038·
 2007 07  3014221.
 2007 08  9613954.
 2007 09  5613988·
 2007 10  7414233.
 2007 11  5714139.
 2007 12  7713755.
 2008 01 2413279.
 2008 02 8512910.
 2008 03 4312730.
 2008 04 212930·
 2008 05 4313099·
 2008 06 9813320.
 2008 07 5113605·
 2008 08 6613431.
 2008 09 3813198·
 2008 10 6813097·
 2008 11 7012775.
 2008 12 8812534·
 2009 01  5812117.
 2009 02  7811747·
 2009 03  1111767.
 2009 04  1311954·
 2009 05  8111865.
 2009 06  3412025·
 2009 07  1411856·
 2009 08  812003.
 2009 09  511744.
 2009 10  6811629.
 2009 11  4111736.
 2009 12  6911178.
 2010 01 5611052.
 2010 02 3711109.
 2010 03 8011354.
 2010 04 1511590.
 2010 05 8511906.
 2010 06 2111956·
 2010 07 4312344·
 2010 08 9012291.
 2010 09 6711814.
 2010 10 2811572.
 2010 11 6911220.
 2010 12 6211219.
 2011 01  310828·
 2011 02  8911196.
 2011 03  2011180·
 2011 04  2611324.
 2011 05  1711511.
 2011 06  6111647.
 2011 07  8511949·
 2011 08  211969·
 2011 09  6111893·
 2011 10  2611726.
 2011 11  7711994.
 2011 12  3311636·
 2012 01 910897·
 2012 02 9010948·


 2012 03 3210905.
 2012 04 8810941·
 2012 05 6311403.
 2012 06 8511494·
 2012 07 1411641.
 2012 08 6211568.
 2012 09 4611417.
 2012 10 6811443·
 2012 11 1211350.
 2012 12 7411255·
 2013 01  1110963·
 2013 02  2011029·
 2013 03  3710902.
 2013 04  6711095.
 2013 05  3111492.
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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: White, Natural Resources, Construction, and Maintenance Occupations: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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