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 Series Title: Employment Level: Agriculture and Related Industries, Wage and Salary Workers, 16-19 years, Women: NSA
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 1976 06 5783·
 1976 07 58115.
 1976 08 7092.
 1976 09 249·
 1976 10 8745·
 1976 11 6140.
 1976 12 6032·
 1977 01  5130.
 1977 02  8430·
 1977 03  6231·
 1977 04  5023·
 1977 05  9935·
 1977 06  9789·
 1977 07  4391.
 1977 08  5580·
 1977 09  9057.
 1977 10  252.
 1977 11  1142.
 1977 12  1129.
 1978 01 9338.
 1978 02 9928·
 1978 03 9733·
 1978 04 8144·
 1978 05 243·
 1978 06 1582·
 1978 07 5885·
 1978 08 5487.
 1978 09 3649.
 1978 10 9957·
 1978 11 7648·
 1978 12 4339.
 1979 01  3931·
 1979 02  2620·
 1979 03  5730.
 1979 04  8423.
 1979 05  8139.
 1979 06  9891·
 1979 07  33124·
 1979 08  4290.
 1979 09  5638·
 1979 10  3939.
 1979 11  6131·
 1979 12  428·
 1980 01 8236·
 1980 02 9924.
 1980 03 2234·
 1980 04 8340·
 1980 05 552·
 1980 06 5686.
 1980 07 2393.
 1980 08 1672.
 1980 09 9264.
 1980 10 751·
 1980 11 9642·
 1980 12 6732·
 1981 01  3938.
 1981 02  8030.
 1981 03  9635·
 1981 04  2444.
 1981 05  6454·
 1981 06  2465·
 1981 07  682·
 1981 08  076·
 1981 09  1142.
 1981 10  1545.
 1981 11  3333.
 1981 12  3117.
 1982 01 5029·
 1982 02 5415.
 1982 03 823·
 1982 04 8230·
 1982 05 7556·
 1982 06 6461.
 1982 07 8897.
 1982 08 4190·
 1982 09 561.
 1982 10 9865·
 1982 11 5460.
 1982 12 1941.
 1983 01  8331·
 1983 02  3036·
 1983 03  1329·
 1983 04  5538·
 1983 05  8038.
 1983 06  6169·
 1983 07  96131.
 1983 08  1283·
 1983 09  9044.
 1983 10  1639.
 1983 11  6126·
 1983 12  7827.
 1984 01 3119·
 1984 02 4621·
 1984 03 8933.
 1984 04 6537·
 1984 05 4749.
 1984 06 2585.
 1984 07 86103·
 1984 08 1271.
 1984 09 855·
 1984 10 5539.
 1984 11 8533.
 1984 12 8120.
 1985 01  819.
 1985 02  6125·
 1985 03  4130·
 1985 04  6142.
 1985 05  6637.
 1985 06  9263.
 1985 07  3788·
 1985 08  6352·
 1985 09  2740·
 1985 10  2627·
 1985 11  7927·
 1985 12  2719.
 1986 01 5823.
 1986 02 6119.
 1986 03 9921·
 1986 04 1523.
 1986 05 5528.
 1986 06 2344.
 1986 07 5351.
 1986 08 1442.
 1986 09 3728.
 1986 10 6325.
 1986 11 2321·
 1986 12 3925.
 1987 01  4718.
 1987 02  5619·
 1987 03  1634.
 1987 04  2623·
 1987 05  5634.
 1987 06  359.
 1987 07  6363·
 1987 08  3855.
 1987 09  5628·
 1987 10  2829·
 1987 11  2223.
 1987 12  6425·
 1988 01 6821·
 1988 02 8334.
 1988 03 7244·
 1988 04 1645.
 1988 05 3442.
 1988 06 4264.
 1988 07 2249·
 1988 08 3251·
 1988 09 2631.
 1988 10 634.
 1988 11 333.
 1988 12 7638·
 1989 01  3542·
 1989 02  133·
 1989 03  7238.
 1989 04  3435·
 1989 05  8331.
 1989 06  7639.
 1989 07  1048.
 1989 08  2047.
 1989 09  1222.
 1989 10  826.
 1989 11  2335.
 1989 12  7225·
 1990 01 9319.
 1990 02 9623·
 1990 03 4449·
 1990 04 5344.
 1990 05 1860.
 1990 06 6667·
 1990 07 2963·
 1990 08 5046.
 1990 09 834·
 1990 10 6828·
 1990 11 6028·
 1990 12 7721·
 1991 01  719·
 1991 02  7916·
 1991 03  4329·
 1991 04  7127·
 1991 05  8237.
 1991 06  9770.
 1991 07  1070.
 1991 08  9553.
 1991 09  3021·
 1991 10  4917·
 1991 11  1817·
 1991 12  3720·
 1992 01 6823·
 1992 02 8527.
 1992 03 4832.
 1992 04 1041·
 1992 05 4233·
 1992 06 8046·
 1992 07 776.
 1992 08 5371.
 1992 09 1942·
 1992 10 3420·
 1992 11 2632.
 1992 12 2636.
 1993 01  9526·
 1993 02  7427·
 1993 03  6324.
 1993 04  2022·
 1993 05  8825·
 1993 06  5042.
 1993 07  9948·
 1993 08  4652·
 1993 09  4331.
 1993 10  3631.
 1993 11  4023·
 1993 12  4322.
 1994 01 2913.
 1994 02 3416·
 1994 03 1821.
 1994 04 7225·
 1994 05 3927·
 1994 06 6842.
 1994 07 9039.
 1994 08 2353·
 1994 09 9335·
 1994 10 8933·
 1994 11 3833.
 1994 12 928.
 1995 01  3616.
 1995 02  7318.
 1995 03  6822·
 1995 04  6631·
 1995 05  3538·
 1995 06  1963·
 1995 07  1177·
 1995 08  5852.
 1995 09  8648·
 1995 10  5448·
 1995 11  2441.
 1995 12  7346·
 1996 01 835·
 1996 02 2727.
 1996 03 9027.
 1996 04 2323.
 1996 05 4444.
 1996 06 1454·
 1996 07 1450.
 1996 08 4748·
 1996 09 6445.
 1996 10 1638·
 1996 11 2935.
 1996 12 828.
 1997 01  6232·
 1997 02  5722·
 1997 03  9035·
 1997 04  9326.
 1997 05  5840.
 1997 06  8968·
 1997 07  8070.
 1997 08  1570.
 1997 09  9440.
 1997 10  8632.
 1997 11  539·
 1997 12  1228·
 1998 01 4134.
 1998 02 4944·
 1998 03 9744·
 1998 04 4841.
 1998 05 9281·
 1998 06 480.
 1998 07 1365·
 1998 08 973.
 1998 09 6750.
 1998 10 030.
 1998 11 3317·
 1998 12 928·
 1999 01  1022.
 1999 02  1335.
 1999 03  6629.
 1999 04  8537.
 1999 05  9055.
 1999 06  4467.
 1999 07  4164·
 1999 08  258·
 1999 09  039·
 1999 10  1843.
 1999 11  1727.
 1999 12  4626.
 2000 01 6115·
 2000 02 8512.
 2000 03 7433·
 2000 04 3033·
 2000 05 1737.
 2000 06 2046.
 2000 07 2031.
 2000 08 9249.
 2000 09 3628.
 2000 10 2534.
 2000 11 8623.
 2000 12 9514.
 2001 01  1218·
 2001 02  2415.
 2001 03  2819·
 2001 04  2816·
 2001 05  6629·
 2001 06  6828.
 2001 07  2867.
 2001 08  248.
 2001 09  4040·
 2001 10  3330·
 2001 11  9418·
 2001 12  5721.
 2002 01 423·
 2002 02 1819.
 2002 03 5629.
 2002 04 5423·
 2002 05 5326.
 2002 06 4923·
 2002 07 7141.
 2002 08 8130·
 2002 09 523.
 2002 10 7632·
 2002 11 2015.
 2002 12 5220.
 2003 01  49.
 2003 02  7515.
 2003 03  1223.
 2003 04  517.
 2003 05  2018.
 2003 06  4726·
 2003 07  7628·
 2003 08  232·
 2003 09  4715·
 2003 10  1615·
 2003 11  7031·
 2003 12  3025·
 2004 01 322.
 2004 02 3319.
 2004 03 7521·
 2004 04 429.
 2004 05 3432·
 2004 06 7340.
 2004 07 9936.
 2004 08 6129.
 2004 09 89·
 2004 10 3712·
 2004 11 7214·
 2004 12 6413.
 2005 01  199·
 2005 02  5011·
 2005 03  5126·
 2005 04  014.
 2005 05  8714·
 2005 06  6323·
 2005 07  1827·
 2005 08  8332·
 2005 09  5623·
 2005 10  5120.
 2005 11  8011.
 2005 12  5113.
 2006 01 9417.
 2006 02 1414.
 2006 03 6816·
 2006 04 6621·
 2006 05 9624.
 2006 06 7826.
 2006 07 3936·
 2006 08 1630·
 2006 09 8120·
 2006 10 9317·
 2006 11 749·
 2006 12 1424·
 2007 01  9324.
 2007 02  3417·
 2007 03  8126·
 2007 04  9930·
 2007 05  219·
 2007 06  246·
 2007 07  9043.
 2007 08  3234·
 2007 09  125·
 2007 10  2312.
 2007 11  5915·
 2007 12  319·
 2008 01 914.
 2008 02 467.
 2008 03 6815·
 2008 04 2316.
 2008 05 7222·
 2008 06 4729·
 2008 07 2647·
 2008 08 3036.
 2008 09 5712.
 2008 10 2720.
 2008 11 6216.
 2008 12 8816·
 2009 01  5914.
 2009 02  1112·
 2009 03  357.
 2009 04  8514.
 2009 05  9819.
 2009 06  4834.
 2009 07  2539.
 2009 08  3327·
 2009 09  1628.
 2009 10  1619.
 2009 11  4015.
 2009 12  7014.
 2010 01 8514.
 2010 02 138·
 2010 03 1011·
 2010 04 5916.
 2010 05 9611·
 2010 06 6616.
 2010 07 9321·
 2010 08 8816·
 2010 09 7124·
 2010 10 2528·
 2010 11 7017·
 2010 12 7016·
 2011 01  5219.
 2011 02  6415·
 2011 03  4828·
 2011 04  4331·
 2011 05  1029.
 2011 06  8623.
 2011 07  5918·
 2011 08  6912·
 2011 09  378.
 2011 10  144·
 2011 11  5810.
 2011 12  3711·
 2012 01 5410·


 2012 02 015.
 2012 03 2819.
 2012 04 5928.
 2012 05 425·
 2012 06 1830.
 2012 07 7639.
 2012 08 7429.
 2012 09 5721.
 2012 10 707.
 2012 11 3210·
 2012 12 446.
 2013 01  712·
 2013 02  8019.
 2013 03  556·
 2013 04  5711·
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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, 16-19 years, Women: 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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