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 Series Title: Employment Level: Agriculture and Related Industries, Women (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  42519.
 2005 11  20570·
 2005 10  3535.
 2005 09  68561·
 2005 08  17537.
 2005 07  53558·
 2005 06  84564.
 2005 05  45543.
 2005 04  51572·
 2005 03  79526·
 2005 02  60523·
 2005 01  14499.
 2004 12 97572·
 2004 11 78543.
 2004 10 44546·
 2004 09 20528.
 2004 08 28548.
 2004 07 58535.
 2004 06 73551·
 2004 05 32562.
 2004 04 45548·
 2004 03 50550.
 2004 02 10519·
 2004 01 43542·
 2003 12  74552.
 2003 11  11555·
 2003 10  43566.
 2003 09  74553·
 2003 08  66617·
 2003 07  22576·
 2003 06  86584.
 2003 05  67565·
 2003 04  94566.
 2003 03  90587.
 2003 02  75607·
 2003 01  93627.
 2002 12 60587·
 2002 11 47589·
 2002 10 75596·
 2002 09 45575·
 2002 08 90534.
 2002 07 49599·
 2002 06 72558.
 2002 05 43571.
 2002 04 33593.
 2002 03 79617·
 2002 02 80621·
 2002 01 30615.
 1999 12  65571.
 1999 11  42567·
 1999 10  37578·
 1999 09  77566.
 1999 08  87568·
 1999 07  70583.
 1999 06  5623.
 1999 05  76578.
 1999 04  23572.
 1999 03  20587.
 1999 02  72595.
 1999 01  47574.
 1998 12 25564·
 1998 11 74553.
 1998 10 52562.
 1998 09 35579·
 1998 08 67589·
 1998 07 37569.
 1998 06 81563·
 1998 05 8556.
 1998 04 50534·
 1998 03 43543·
 1998 02 24576.
 1998 01 60584.
 1997 12  99597·
 1997 11  47595.
 1997 10  68556.
 1997 09  11579·
 1997 08  66597·
 1997 07  31600.
 1997 06  25572·
 1997 05  5536·
 1997 04  24577·
 1997 03  2562·
 1997 02  34555·
 1997 01  11585·
 1996 12 74549·
 1996 11 92562·
 1996 10 58562.
 1996 09 23594·
 1996 08 43573.
 1996 07 56583·
 1996 06 84585.
 1996 05 60590·
 1996 04 80607·
 1996 03 77617.
 1996 02 26600.
 1996 01 67601·
 1995 12  61610·
 1995 11  61598·
 1995 10  20602·
 1995 09  12566·
 1995 08  85570·
 1995 07  41562·
 1995 06  31586·
 1995 05  90608.
 1995 04  79645·
 1995 03  72618.
 1995 02  46604.
 1995 01  19599·
 1994 12 93620·
 1994 11 36620·
 1994 10 78636.
 1994 09 45628.
 1994 08 3590·
 1994 07 40562.
 1994 06 65538.
 1994 05 35573·
 1994 04 8595.
 1994 03 15558.
 1994 02 69567.
 1994 01 85547.
 1993 12  34445.
 1993 11  19456·
 1993 10  79439·
 1993 09  13450.
 1993 08  31468·
 1993 07  32480·
 1993 06  8472.
 1993 05  64454.
 1993 04  75445·
 1993 03  62466.
 1993 02  93442·
 1993 01  6477·
 1992 12 66471·
 1992 11 40474·
 1992 10 97428·
 1992 09 34462·
 1992 08 30485·
 1992 07 23488.
 1992 06 8496·
 1992 05 67470·
 1992 04 17479.
 1992 03 92477.
 1992 02 39499.
 1992 01 48492·
 1991 12  2481.
 1991 11  54478·
 1991 10  29475·
 1991 09  49488·
 1991 08  86468.
 1991 07  41459·
 1991 06  39465.
 1991 05  61478·
 1991 04  95463·
 1991 03  9469·
 1991 02  58491·
 1991 01  5486.
 1990 12 77484.
 1990 11 40441.
 1990 10 98470.
 1990 09 25470·
 1990 08 10477·
 1990 07 40437·
 1990 06 98485.
 1990 05 89498·
 1990 04 93493·
 1990 03 42504·
 1990 02 20455.
 1990 01 92449.
 1989 12  52454·
 1989 11  2473·
 1989 10  53496.
 1989 09  53498·
 1989 08  36489.
 1989 07  1497.
 1989 06  9457·
 1989 05  17469·
 1989 04  23477·
 1989 03  46474·
 1989 02  26489·
 1989 01  52528.
 1988 12 11497.
 1988 11 69498.
 1988 10 67483·
 1988 09 52476·
 1988 08 26453·
 1988 07 26417.
 1988 06 19467·
 1988 05 37462.
 1988 04 20504·
 1988 03 99497.
 1988 02 97477.
 1988 01 50484.
 1987 12  66485·
 1987 11  95476.
 1987 10  37485·
 1987 09  61463·
 1987 08  65476.
 1987 07  46474.
 1987 06  2472.
 1987 05  65487·
 1987 04  44441·
 1987 03  7464·
 1987 02  81470.
 1987 01  80458·
 1986 12 52465.
 1986 11 61474.
 1986 10 87454·
 1986 09 49474·
 1986 08 64475·
 1986 07 14454·
 1986 06 56458·
 1986 05 44453.
 1986 04 81443·
 1986 03 98438·
 1986 02 53441·
 1986 01 57489·
 1985 12  29437.
 1985 11  70420·
 1985 10  64453·
 1985 09  7435·
 1985 08  57441.
 1985 07  11444·
 1985 06  4437.
 1985 05  40444.
 1985 04  42473.
 1985 03  27460.
 1985 02  9447·
 1985 01  24434·
 1984 12 83438·
 1984 11 51424·
 1984 10 42430·
 1984 09 52474·
 1984 08 7438·
 1984 07 39455.
 1984 06 93468.
 1984 05 45451.
 1984 04 62449.
 1984 03 73433·
 1984 02 72452.
 1984 01 47448·
 1983 12  26474.
 1983 11  59475.
 1983 10  20480·
 1983 09  26486.
 1983 08  97496.
 1983 07  30490.
 1983 06  97474.
 1983 05  76455·
 1983 04  2448·
 1983 03  41446·
 1983 02  92436.
 1983 01  18454.
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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, Women (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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