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 Series Title: Employment Level -Construction and Extraction Occupations in Agriculture and Related Industries: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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 2012 04 913.
 2012 03 916.
 2012 02 516·
 2012 01 19
 2011 12  637·
 2011 11  585·
 2011 10  7710·
 2011 09  2613.
 2011 08  9017·
 2011 07  1112.
 2011 06  9211.
 2011 05  2010·
 2011 04  214.
 2011 03  325·
 2011 02  83.
 2011 01  4416·
 2010 12 3114·
 2010 11 2711.
 2010 10 6313.
 2010 09 6814.
 2010 08 216.
 2010 07 2811·
 2010 06 20
 2010 05 8521.
 2010 04 1718.
 2010 03 9117·
 2010 02 6716·
 2010 01 1514·
 2009 12  6915·
 2009 11  9913·
 2009 10  1710.
 2009 09  210.
 2009 08  517.
 2009 07  573·
 2009 06  86·
 2009 05  155·
 2009 04  665.
 2009 03  9810.
 2009 02  25.
 2009 01  486·
 2008 12 3711·
 2008 11 789·
 2008 10 8819·
 2008 09 2019.
 2008 08 16
 2008 07 794.
 2008 06 784·
 2008 05 76
 2008 04 770.
 2008 03 71.
 2008 02 112.
 2008 01 843·
 2007 12  2212.
 2007 11  9417·
 2007 10  4810·
 2007 09  3913·
 2007 08  759·
 2007 07  965.
 2007 06  7911·
 2007 05  6015·
 2007 04  8717·
 2007 03  9621.
 2007 02  1625·
 2007 01  9119·
 2006 12 3321.
 2006 11 018.
 2006 10 9712.
 2006 09 117.
 2006 08 1429.
 2006 07 4023.
 2006 06 8534·
 2006 05 846.
 2006 04 55
 2006 03 727·
 2006 02 674·
 2006 01 609.
 2005 12  711.
 2005 11  7716·
 2005 10  5711.
 2005 09  7211·
 2005 08  449.
 2005 07  637·
 2005 06  928.
 2005 05  9015.
 2005 04  6810·
 2005 03  619.
 2005 02  3511·
 2005 01  89·
 2004 12 310·
 2004 11 2814.
 2004 10 7518·
 2004 09 4419.
 2004 08 014·
 2004 07 465.
 2004 06 2413·
 2004 05 448.
 2004 04 356.
 2004 03 201.
 2004 02 201·
 2004 01 764.
 2003 12  87.
 2003 11  8412.
 2003 10  259.
 2003 09  3521.
 2003 08  445.
 2003 07  928.
 2003 06  2911·
 2003 05  3910·
 2003 04  936.
 2003 03  28
 2003 02  439·
 2003 01  329.
 2002 12 3210.
 2002 11 9710·
 2002 10 610·
 2002 09 8512·
 2002 08 595.
 2002 07 313·
 2002 06 806·
 2002 05 905·
 2002 04 26.
 2002 03 883.
 2002 02 5412.
 2002 01 6814.
 2001 12  1018.
 2001 11  4715.
 2001 10  408.
 2001 09  629.
 2001 08  587.
 2001 07  185·
 2001 06  766·
 2001 05  417·
 2001 04  47
 2001 03  29
 2001 02  25
 2001 01  09.
 2000 12 39.
 2000 11 407.
 2000 10 746.
 2000 09 575·
 2000 08 751.
 2000 07 303.
 2000 06 386·
 2000 05 5711.
 2000 04 4011·
 2000 03 716.
 2000 02 5319.
 2000 01 6914.
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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 -Construction and Extraction Occupations in Agriculture and Related Industries: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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