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 Series Title: Employment Level: Agriculture and Related Industries, Wage and Salary Workers, 65 years and over: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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 2012 04 1589·
 2012 03 1490·
 2012 02 2276.
 2012 01 5593.
 2011 12  5392·
 2011 11  5789.
 2011 10  10110.
 2011 09  8694·
 2011 08  3991·
 2011 07  8084·
 2011 06  8075·
 2011 05  97100.
 2011 04  2284.
 2011 03  6498.
 2011 02  4681·
 2011 01  3166.
 2010 12 7965.
 2010 11 1696.
 2010 10 44101.
 2010 09 5997·
 2010 08 985.
 2010 07 68100·
 2010 06 38107·
 2010 05 7493·
 2010 04 3989.
 2010 03 7776.
 2010 02 1672·
 2010 01 9675·
 2009 12  1876·
 2009 11  23101.
 2009 10  9088·
 2009 09  6882.
 2009 08  2270.
 2009 07  1470.
 2009 06  9959·
 2009 05  6062·
 2009 04  5256·
 2009 03  8058·
 2009 02  660.
 2009 01  6659.
 2008 12 3270·
 2008 11 8069.
 2008 10 9765.
 2008 09 573.
 2008 08 1385.
 2008 07 9475·
 2008 06 8767·
 2008 05 2172·
 2008 04 7164·
 2008 03 3068.
 2008 02 1369·
 2008 01 8450·
 2007 12  667·
 2007 11  1863·
 2007 10  3863.
 2007 09  8754·
 2007 08  4355·
 2007 07  1572·
 2007 06  4986·
 2007 05  4989.
 2007 04  3286·
 2007 03  483·
 2007 02  6187.
 2007 01  1682·
 2006 12 50116.
 2006 11 90111·
 2006 10 10106.
 2006 09 5590.
 2006 08 9685.
 2006 07 663.
 2006 06 5969.
 2006 05 6150.
 2006 04 9675·
 2006 03 770·
 2006 02 9774.
 2006 01 5372.
 2005 12  055·
 2005 11  7770.
 2005 10  3781.
 2005 09  7668.
 2005 08  8472·
 2005 07  2064.
 2005 06  1560.
 2005 05  9848.
 2005 04  4856.
 2005 03  6952·
 2005 02  9651·
 2005 01  1460.
 2004 12 1760.
 2004 11 8158.
 2004 10 6670·
 2004 09 4257.
 2004 08 4264·
 2004 07 3761.
 2004 06 3951.
 2004 05 2780·
 2004 04 9878·
 2004 03 4477.
 2004 02 5467.
 2004 01 3961·
 2003 12  8674·
 2003 11  3368·
 2003 10  7185·
 2003 09  7076.
 2003 08  3170.
 2003 07  6267·
 2003 06  8178.
 2003 05  4184.
 2003 04  8360.
 2003 03  1173.
 2003 02  9482.
 2003 01  9572·
 2002 12 1887.
 2002 11 87104·
 2002 10 50102.
 2002 09 268.
 2002 08 3657·
 2002 07 2356.
 2002 06 1254.
 2002 05 5554·
 2002 04 6249·
 2002 03 7444·
 2002 02 6645.
 2002 01 7455.
 2001 12  4868.
 2001 11  2291·
 2001 10  2697.
 2001 09  469.
 2001 08  6768·
 2001 07  7545.
 2001 06  3148·
 2001 05  1243.
 2001 04  2246.
 2001 03  6349·
 2001 02  4242·
 2001 01  9453.
 2000 12 3674·
 2000 11 4369.
 2000 10 4773·
 2000 09 6869·
 2000 08 6172.
 2000 07 9766.
 2000 06 6079.
 2000 05 7979·
 2000 04 7267·
 2000 03 3171·
 2000 02 1955.
 2000 01 9547.
 1999 12  6945·
 1999 11  7860.
 1999 10  8653.
 1999 09  1145·
 1999 08  7852.
 1999 07  9466.
 1999 06  4967.
 1999 05  4670.
 1999 04  4977.
 1999 03  5960·
 1999 02  2157.
 1999 01  4465.
 1998 12 5754·
 1998 11 8250·
 1998 10 4155.
 1998 09 7553·
 1998 08 355·
 1998 07 9451·
 1998 06 7069.
 1998 05 3279.
 1998 04 1266.
 1998 03 5144.
 1998 02 9734.
 1998 01 3431·
 1997 12  3544·
 1997 11  3553.
 1997 10  3466·
 1997 09  2679·
 1997 08  4756.
 1997 07  5361.
 1997 06  2168·
 1997 05  7780.
 1997 04  4861·
 1997 03  3545.
 1997 02  1836·
 1997 01  8134·
 1996 12 6478.
 1996 11 4066.
 1996 10 1584.
 1996 09 5774·
 1996 08 4674·
 1996 07 4978·
 1996 06 2590.
 1996 05 50108.
 1996 04 6769·
 1996 03 6763.
 1996 02 8460·
 1996 01 2759·
 1995 12  3061·
 1995 11  2771·
 1995 10  5690·
 1995 09  8477·
 1995 08  5982·
 1995 07  8671.
 1995 06  3089.
 1995 05  4083.
 1995 04  572.
 1995 03  2569·
 1995 02  1778·
 1995 01  3962.
 1994 12 4375·
 1994 11 5175·
 1994 10 5674·
 1994 09 4972·
 1994 08 7364.
 1994 07 9569.
 1994 06 960·
 1994 05 6663.
 1994 04 2250·
 1994 03 1442·
 1994 02 6526·
 1994 01 848·
 1993 12  3849.
 1993 11  9069·
 1993 10  3682.
 1993 09  1966.
 1993 08  9958·
 1993 07  2961·
 1993 06  6150·
 1993 05  6948.
 1993 04  349·
 1993 03  6350.
 1993 02  139.
 1993 01  5133·
 1992 12 7748.
 1992 11 4859.
 1992 10 4668·
 1992 09 8663.
 1992 08 7070.
 1992 07 6770.
 1992 06 768.
 1992 05 1664·
 1992 04 5961·
 1992 03 2660.
 1992 02 2447.
 1992 01 1150·
 1991 12  4449.
 1991 11  5667·
 1991 10  5870.
 1991 09  6565·
 1991 08  5072·
 1991 07  1447·
 1991 06  9869.
 1991 05  9853·
 1991 04  2752.
 1991 03  8238.
 1991 02  5640.
 1991 01  5334·
 1990 12 5034·
 1990 11 6745.
 1990 10 7058·
 1990 09 051.
 1990 08 2160·
 1990 07 049.
 1990 06 452.
 1990 05 3364·
 1990 04 6548.
 1990 03 3748·
 1990 02 4543.
 1990 01 7058·
 1989 12  3240·
 1989 11  6168·
 1989 10  673·
 1989 09  5739.
 1989 08  9764.
 1989 07  7849·
 1989 06  2560·
 1989 05  6272.
 1989 04  6051·
 1989 03  1968.
 1989 02  6556.
 1989 01  7944·
 1988 12 4848.
 1988 11 4260·
 1988 10 1488.
 1988 09 2857·
 1988 08 1171.
 1988 07 2767·
 1988 06 8468·
 1988 05 5256.
 1988 04 2358·
 1988 03 8351.
 1988 02 1349.
 1988 01 2146·
 1987 12  8656.
 1987 11  3946.
 1987 10  6552.
 1987 09  2967.
 1987 08  2468·
 1987 07  5369·
 1987 06  2884·
 1987 05  9570.
 1987 04  8859.
 1987 03  757·
 1987 02  1347·
 1987 01  6347.
 1986 12 5454·
 1986 11 764·
 1986 10 6057.
 1986 09 256.
 1986 08 2250.
 1986 07 8446·
 1986 06 3065·
 1986 05 756.
 1986 04 1761.
 1986 03 9656·
 1986 02 1338.
 1986 01 9738.
 1985 12  9041·
 1985 11  2445.
 1985 10  2061·
 1985 09  1547.
 1985 08  1648.
 1985 07  7548·
 1985 06  8962·
 1985 05  3159·
 1985 04  9553·
 1985 03  8064.
 1985 02  8538.
 1985 01  3938·
 1984 12 5452·
 1984 11 9651.
 1984 10 9368·
 1984 09 5864·
 1984 08 4146.
 1984 07 539·
 1984 06 2851.
 1984 05 3351·
 1984 04 3344.
 1984 03 1326.
 1984 02 2834.
 1984 01 3234.
 1983 12  3039.
 1983 11  5147·
 1983 10  5463·
 1983 09  5068·
 1983 08  5744.
 1983 07  7846·
 1983 06  9547·
 1983 05  541.
 1983 04  6642·
 1983 03  7331.
 1983 02  6432·
 1983 01  4236.
 1982 12 3042·
 1982 11 4453·
 1982 10 9957·
 1982 09 3151·
 1982 08 5154.
 1982 07 2359·
 1982 06 6249·
 1982 05 6450·
 1982 04 5444.
 1982 03 6631·
 1982 02 4226.
 1982 01 6224·
 1981 12  8932·
 1981 11  5449·
 1981 10  5250·
 1981 09  6852.
 1981 08  3249·
 1981 07  9553·
 1981 06  2856.
 1981 05  5159.
 1981 04  8362.
 1981 03  2051.
 1981 02  3547.
 1981 01  748.
 1980 12 6848·
 1980 11 8657.
 1980 10 6064.
 1980 09 5363.
 1980 08 3747.
 1980 07 7448·
 1980 06 1771.
 1980 05 3470·
 1980 04 6570·
 1980 03 9162.
 1980 02 4157·
 1980 01 2062·
 1979 12  5271·
 1979 11  6888.
 1979 10  9876·
 1979 09  394·
 1979 08  2576.
 1979 07  6375.
 1979 06  7488·
 1979 05  496·
 1979 04  3382·
 1979 03  5678·
 1979 02  8356.
 1979 01  6761·
 1978 12 5250·
 1978 11 5562.
 1978 10 6392·
 1978 09 6087.
 1978 08 8387.
 1978 07 9180·
 1978 06 75102·
 1978 05 7886·
 1978 04 5084.
 1978 03 2157·
 1978 02 967.
 1978 01 4057.
 1977 12  457.
 1977 11  2765.
 1977 10  7774.
 1977 09  9183.
 1977 08  2073.
 1977 07  1463·
 1977 06  1770·
 1977 05  9859.
 1977 04  9962·
 1977 03  1550·
 1977 02  9251.
 1977 01  5751·
 1976 12 6755.
 1976 11 8637·
 1976 10 9062·
 1976 09 8658·
 1976 08 7364·
 1976 07 1064.
 1976 06 2373·
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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, Wage and Salary Workers, 65 years and over: 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

Unemployment data for every county in the U.S..
Click for Illinois counties, then follow the example for your state

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