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 Series Title: Employment Level: Agriculture and Related Industries, Women (cnstr series): NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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 1983 01  59375.
 1983 02  89360.
 1983 03  40390·
 1983 04  66428.
 1983 05  43482·
 1983 06  50574·
 1983 07  68611.
 1983 08  8565·
 1983 09  62484·
 1983 10  78486.
 1983 11  65456.
 1983 12  18423·
 1984 01 66370·
 1984 02 55374·
 1984 03 45380.
 1984 04 39429·
 1984 05 31479.
 1984 06 88564·
 1984 07 46565·
 1984 08 41498·
 1984 09 57471.
 1984 10 7436.
 1984 11 30408.
 1984 12 17392·
 1985 01  71358.
 1985 02  71372·
 1985 03  84406.
 1985 04  88452·
 1985 05  21474·
 1985 06  60524.
 1985 07  24545·
 1985 08  97498·
 1985 09  83433.
 1985 10  81461.
 1985 11  85407.
 1985 12  13391·
 1986 01 59404.
 1986 02 65370·
 1986 03 31389.
 1986 04 30424·
 1986 05 72484.
 1986 06 70544·
 1986 07 49551·
 1986 08 68531.
 1986 09 74475.
 1986 10 78465·
 1986 11 54463.
 1986 12 71416.
 1987 01  40380.
 1987 02  93397·
 1987 03  82415·
 1987 04  8423.
 1987 05  71522.
 1987 06  49555·
 1987 07  96568·
 1987 08  72526.
 1987 09  91467.
 1987 10  2498·
 1987 11  85470.
 1987 12  84435·
 1988 01 52405.
 1988 02 33407·
 1988 03 61447.
 1988 04 86483.
 1988 05 28495·
 1988 06 50544·
 1988 07 62494.
 1988 08 50496.
 1988 09 20484·
 1988 10 83497.
 1988 11 52493.
 1988 12 67447·
 1989 01  53446.
 1989 02  90422·
 1989 03  17427·
 1989 04  59455·
 1989 05  78500.
 1989 06  52531·
 1989 07  71583.
 1989 08  68533·
 1989 09  71509·
 1989 10  76509.
 1989 11  51470.
 1989 12  64411.
 1990 01 30383.
 1990 02 93395·
 1990 03 21454.
 1990 04 41468·
 1990 05 83527·
 1990 06 60563·
 1990 07 69509.
 1990 08 19519·
 1990 09 79483.
 1990 10 59480·
 1990 11 7439.
 1990 12 40440·
 1991 01  93418.
 1991 02  96429·
 1991 03  73424.
 1991 04  76439·
 1991 05  27503·
 1991 06  3539.
 1991 07  31528·
 1991 08  19511·
 1991 09  5503·
 1991 10  36482.
 1991 11  67476·
 1991 12  88441.
 1992 01 78425.
 1992 02 78438·
 1992 03 96433·
 1992 04 29453·
 1992 05 21492·
 1992 06 35573.
 1992 07 54555·
 1992 08 10530·
 1992 09 35478.
 1992 10 38434·
 1992 11 5471·
 1992 12 25435·
 1993 01  45413·
 1993 02  45389·
 1993 03  36429·
 1993 04  93423·
 1993 05  2473.
 1993 06  36541·
 1993 07  61539.
 1993 08  59511.
 1993 09  80468·
 1993 10  19447.
 1993 11  17452·
 1993 12  91413.
 1994 01 80476·
 1994 02 24500.
 1994 03 68518.
 1994 04 85571.
 1994 05 28595·
 1994 06 10607·
 1994 07 1627·
 1994 08 58644·
 1994 09 74656·
 1994 10 57650.
 1994 11 29611·
 1994 12 55577·
 1995 01  93523·
 1995 02  71536.
 1995 03  89577.
 1995 04  45623.
 1995 05  86632·
 1995 06  86649.
 1995 07  46625.
 1995 08  23622·
 1995 09  78596.
 1995 10  57616.
 1995 11  86582.
 1995 12  7567·
 1996 01 20528·
 1996 02 65537·
 1996 03 23578·
 1996 04 42588.
 1996 05 87614.
 1996 06 18637·
 1996 07 95649.
 1996 08 96627·
 1996 09 79628·
 1996 10 48576·
 1996 11 64539·
 1996 12 65509.
 1997 01  21518.
 1997 02  10505.
 1997 03  18527.
 1997 04  66559·
 1997 05  65559·
 1997 06  87615·
 1997 07  70670·
 1997 08  45654·
 1997 09  85614.
 1997 10  85570.
 1997 11  58563.
 1997 12  70552.
 1998 01 82522·
 1998 02 35530.
 1998 03 46509·
 1998 04 35517·
 1998 05 82581.
 1998 06 95598.
 1998 07 20639.
 1998 08 60645.
 1998 09 34613·
 1998 10 46578.
 1998 11 94518·
 1998 12 89520.
 1999 01  14518.
 1999 02  95553.
 1999 03  5550.
 1999 04  91553.
 1999 05  23605·
 1999 06  73656·
 1999 07  17654.
 1999 08  60621·
 1999 09  85599.
 1999 10  37599·
 1999 11  18527.
 1999 12  14525·
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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): NSA
   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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