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 Series Title: Employment Level: Agriculture and Related Industries, Both sexes (cnstr series): SA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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 2005 12  442144·
 2005 11  212178.
 2005 10  622140.
 2005 09  632138.
 2005 08  452173.
 2005 07  302288.
 2005 06  422322·
 2005 05  382209.
 2005 04  512255.
 2005 03  742200.
 2005 02  612154.
 2005 01  482131.
 2004 12 102202.
 2004 11 362214·
 2004 10 312176.
 2004 09 382215.
 2004 08 992334·
 2004 07 232194.
 2004 06 902262.
 2004 05 792294.
 2004 04 192254·
 2004 03 652190·
 2004 02 12224·
 2004 01 622204·
 2003 12  932256.
 2003 11  202382·
 2003 10  512445.
 2003 09  92320.
 2003 08  742323·
 2003 07  692156·
 2003 06  552218·
 2003 05  622185.
 2003 04  362163.
 2003 03  192269.
 2003 02  502237.
 2003 01  912338·
 2002 12 792351·
 2002 11 12274.
 2002 10 982442·
 2002 09 902265.
 2002 08 292146·
 2002 07 722281.
 2002 06 882199.
 2002 05 792274.
 2002 04 372383.
 2002 03 142372·
 2002 02 322392.
 2002 01 12381·
 1999 12  772333·
 1999 11  342391·
 1999 10  692286.
 1999 09  262263.
 1999 08  502299.
 1999 07  622367.
 1999 06  602420·
 1999 05  472379·
 1999 04  822380·
 1999 03  562338.
 1999 02  952344·
 1999 01  852325·
 1998 12 232333·
 1998 11 982406·
 1998 10 862515·
 1998 09 822472.
 1998 08 482495·
 1998 07 932430.
 1998 06 712395·
 1998 05 82386·
 1998 04 582366·
 1998 03 742278·
 1998 02 122369·
 1998 01 582373.
 1997 12  782433.
 1997 11  972418·
 1997 10  982281.
 1997 09  502372.
 1997 08  592372.
 1997 07  442430.
 1997 06  422454.
 1997 05  292423·
 1997 04  752484.
 1997 03  222449.
 1997 02  812375·
 1997 01  632453·
 1996 12 282430.
 1996 11 612387·
 1996 10 782414·
 1996 09 472443·
 1996 08 422403·
 1996 07 202427.
 1996 06 222401.
 1996 05 02436·
 1996 04 682406·
 1996 03 792455·
 1996 02 252453.
 1996 01 662426·
 1995 12  822408·
 1995 11  452397·
 1995 10  252454.
 1995 09  152394.
 1995 08  832412.
 1995 07  492407.
 1995 06  842448·
 1995 05  402409·
 1995 04  982520.
 1995 03  492551.
 1995 02  922541·
 1995 01  602486.
 1994 12 762510·
 1994 11 262520.
 1994 10 602485.
 1994 09 202453.
 1994 08 942462.
 1994 07 872356·
 1994 06 262314·
 1994 05 892424·
 1994 04 512450·
 1994 03 622407·
 1994 02 552413·
 1994 01 612387.
 1993 12  722266·
 1993 11  102289.
 1993 10  322203.
 1993 09  552302·
 1993 08  92223.
 1993 07  112269·
 1993 06  722276.
 1993 05  152246·
 1993 04  362252.
 1993 03  732225.
 1993 02  122260.
 1993 01  112345.
 1992 12 542392.
 1992 11 262361.
 1992 10 142320·
 1992 09 362385.
 1992 08 892402·
 1992 07 282391.
 1992 06 682363·
 1992 05 102304·
 1992 04 902302·
 1992 03 602263·
 1992 02 862321.
 1992 01 762293·
 1991 12  332300·
 1991 11  282374·
 1991 10  52345.
 1991 09  52363·
 1991 08  192363·
 1991 07  652352.
 1991 06  892392·
 1991 05  902357·
 1991 04  732309·
 1991 03  272260·
 1991 02  252322.
 1991 01  492334·
 1990 12 452386.
 1990 11 962306.
 1990 10 272357.
 1990 09 292336·
 1990 08 112338·
 1990 07 782280.
 1990 06 322337.
 1990 05 962356.
 1990 04 712280·
 1990 03 52338·
 1990 02 32291·
 1990 01 472296.
 1989 12  502293·
 1989 11  342282.
 1989 10  282323·
 1989 09  992332.
 1989 08  992386·
 1989 07  462355·
 1989 06  202264.
 1989 05  972285·
 1989 04  942309·
 1989 03  472328·
 1989 02  172329·
 1989 01  102326·
 1988 12 342283.
 1988 11 702317.
 1988 10 822277·
 1988 09 332267·
 1988 08 452261·
 1988 07 722215.
 1988 06 22246·
 1988 05 832226·
 1988 04 772318.
 1988 03 332263·
 1988 02 902265·
 1988 01 72317·
 1987 12  62319.
 1987 11  602304.
 1987 10  852354·
 1987 09  712313.
 1987 08  332285·
 1987 07  862309.
 1987 06  502319·
 1987 05  722403·
 1987 04  822346·
 1987 03  662366.
 1987 02  712328·
 1987 01  282237·
 1986 12 42289.
 1986 11 832295.
 1986 10 632298·
 1986 09 822315·
 1986 08 742269·
 1986 07 432274·
 1986 06 622313.
 1986 05 52255.
 1986 04 942278.
 1986 03 772300.
 1986 02 322281·
 1986 01 902335·
 1985 12  872247.
 1985 11  432204.
 1985 10  612212.
 1985 09  572196·
 1985 08  52271·
 1985 07  222258.
 1985 06  622248·
 1985 05  492310.
 1985 04  232322·
 1985 03  202277·
 1985 02  722351.
 1985 01  362330.
 1984 12 412397.
 1984 11 692401.
 1984 10 552292.
 1984 09 122437.
 1984 08 852341·
 1984 07 262362.
 1984 06 972382·
 1984 05 962351.
 1984 04 52328.
 1984 03 732267.
 1984 02 132323·
 1984 01 322310.
 1983 12  762353.
 1983 11  162378·
 1983 10  402392.
 1983 09  892420.
 1983 08  992554·
 1983 07  862479·
 1983 06  412434.
 1983 05  622358.
 1983 04  02317·
 1983 03  412336·
 1983 02  42280.
 1983 01  692391·
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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: Agriculture and Related Industries, Both sexes (cnstr series): SA
   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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