Economagic.com: Economic Time Series Page
 Browse Data Titles  |  Charts  |  Excel  |  Reports  |  Search  |  Maps & Movies  |  Help
 Subscriber Login  |  Subscription Info  |  Turn Advanced Features On  |  Change Defaults

 Series Title: Employment Level: Agriculture and Related Industries, Unpaid Family Workers, 35-44 years, Women: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Yearly Chart  |  Excel file  |  Self-updating Excel file
   Transform this series  |  Display series in COPY/PASTE format  |  Reverse this series  |  Data set page
Link to Series in Level 1 Subscription Site
Link to Series in Level 2 Subscription Site
Link to Series in Level 0 Subscription Site
Go to end of data set
 1976 06 2657.
 1976 07 1750.
 1976 08 3255·
 1976 09 1161·
 1976 10 1969.
 1976 11 2261.
 1976 12 8845·
 1977 01  1635·
 1977 02  8535.
 1977 03  3128.
 1977 04  5152·
 1977 05  2571·
 1977 06  7379.
 1977 07  2783.
 1977 08  3463·
 1977 09  8448.
 1977 10  6054·
 1977 11  1562.
 1977 12  7537.
 1978 01 6029.
 1978 02 4630·
 1978 03 2937·
 1978 04 3640.
 1978 05 4952.
 1978 06 5555·
 1978 07 2377.
 1978 08 752·
 1978 09 7044.
 1978 10 4054.
 1978 11 8144.
 1978 12 9938.
 1979 01  6620·
 1979 02  7425.
 1979 03  832.
 1979 04  5036·
 1979 05  752.
 1979 06  5861·
 1979 07  3666·
 1979 08  2448·
 1979 09  8747·
 1979 10  1959·
 1979 11  2249·
 1979 12  840.
 1980 01 2530·
 1980 02 525·
 1980 03 4829·
 1980 04 1644·
 1980 05 6563·
 1980 06 9367·
 1980 07 1983·
 1980 08 8460.
 1980 09 7655.
 1980 10 8357·
 1980 11 6946·
 1980 12 7737.
 1981 01  5333.
 1981 02  042.
 1981 03  5334.
 1981 04  8141.
 1981 05  1438.
 1981 06  9442·
 1981 07  5250·
 1981 08  1041·
 1981 09  429.
 1981 10  4245·
 1981 11  7547.
 1981 12  122.
 1982 01 9229.
 1982 02 4323·
 1982 03 5221.
 1982 04 1833.
 1982 05 7242.
 1982 06 2355·
 1982 07 4055·
 1982 08 4956.
 1982 09 6344.
 1982 10 3344·
 1982 11 2043.
 1982 12 625.
 1983 01  1021.
 1983 02  4622.
 1983 03  037·
 1983 04  2725.
 1983 05  8135·
 1983 06  6550·
 1983 07  1145·
 1983 08  7541.
 1983 09  7036.
 1983 10  1540.
 1983 11  933·
 1983 12  3831·
 1984 01 9721.
 1984 02 4517·
 1984 03 7627.
 1984 04 2933.
 1984 05 742.
 1984 06 3151·
 1984 07 1958·
 1984 08 8657·
 1984 09 6741·
 1984 10 7433.
 1984 11 7032·
 1984 12 7134·
 1985 01  7234·
 1985 02  9930.
 1985 03  8548.
 1985 04  7330·
 1985 05  4147.
 1985 06  5641·
 1985 07  4540.
 1985 08  428·
 1985 09  1925·
 1985 10  2120.
 1985 11  5819·
 1985 12  319.
 1986 01 7519·
 1986 02 9415.
 1986 03 5532.
 1986 04 3221.
 1986 05 230·
 1986 06 041·
 1986 07 9237.
 1986 08 7926·
 1986 09 2011·
 1986 10 9122·
 1986 11 5229·
 1986 12 5717·
 1987 01  7323·
 1987 02  4115·
 1987 03  4117.
 1987 04  317.
 1987 05  3119.
 1987 06  5016.
 1987 07  9015·
 1987 08  8221.
 1987 09  8614·
 1987 10  4519.
 1987 11  5734.
 1987 12  8020·
 1988 01 5922·
 1988 02 7526.
 1988 03 2216.
 1988 04 1114·
 1988 05 9430·
 1988 06 1625.
 1988 07 9324·
 1988 08 1223.
 1988 09 5913·
 1988 10 6823.
 1988 11 120.
 1988 12 4718·
 1989 01  4911·
 1989 02  5716·
 1989 03  325·
 1989 04  217·
 1989 05  8328·
 1989 06  3331.
 1989 07  8028·
 1989 08  9226.
 1989 09  519·
 1989 10  7119·
 1989 11  3922.
 1989 12  5422.
 1990 01 848.
 1990 02 727·
 1990 03 1213·
 1990 04 5117.
 1990 05 1527.
 1990 06 6125.
 1990 07 5520·
 1990 08 7020·
 1990 09 1625·
 1990 10 8920.
 1990 11 5116.
 1990 12 269.
 1991 01  3219·
 1991 02  3117·
 1991 03  518·
 1991 04  549·
 1991 05  3229·
 1991 06  8819·
 1991 07  4923.
 1991 08  2013·
 1991 09  1016.
 1991 10  8412.
 1991 11  4010·
 1991 12  98.
 1992 01 859.
 1992 02 7013·
 1992 03 598·
 1992 04 3615·
 1992 05 112·
 1992 06 2236·
 1992 07 1425.
 1992 08 3826·
 1992 09 2714·
 1992 10 4018·
 1992 11 3618·
 1992 12 78
 1993 01  5812·
 1993 02  4916.
 1993 03  8122·
 1993 04  4416.
 1993 05  1322.
 1993 06  033.
 1993 07  3123·
 1993 08  4917·
 1993 09  3524·
 1993 10  6818.
 1993 11  9313·
 1993 12  3016.
 1994 01 952·
 1994 02 532·
 1994 03 99
 1994 04 517.
 1994 05 857.
 1994 06 828·
 1994 07 410.
 1994 08 994.
 1994 09 262.
 1994 10 31.
 1994 11 912·
 1994 12 883.
 1995 01  612·
 1995 02  942.
 1995 03  663·
 1995 04  558.
 1995 05  596.
 1995 06  536.
 1995 07  6210.
 1995 08  634·
 1995 09  161·
 1995 10  71·
 1995 11  34
 1995 12  11.
 1996 01 493.
 1996 02 61·
 1996 03 641.
 1996 04 802·
 1996 05 36·
 1996 06 256.
 1996 07 595.
 1996 08 397·
 1996 09 475·
 1996 10 654.
 1996 11 50
 1996 12 404.
 1997 01  752.
 1997 02  502.
 1997 03  952.
 1997 04  732.
 1997 05  75·
 1997 06  328.
 1997 07  7510.
 1997 08  487·
 1997 09  864.
 1997 10  864·
 1997 11  966.
 1997 12  64·
 1998 01 814.
 1998 02 124.
 1998 03 903.
 1998 05 75.
 1998 06 882·
 1998 07 366·
 1998 08 137.
 1998 09 411.
 1998 10 241·
 1998 11 85·
 1998 12 48
 1999 02  19
 1999 03  354.
 1999 04  31.
 1999 05  21·
 1999 06  813·
 1999 07  8813·
 1999 08  2111.
 1999 09  412.
 1999 10  8816·
 1999 11  795.
 1999 12  897·
 2000 01 134.
 2000 02 292·
 2000 03 272.
 2000 04 573.
 2000 05 106·
 2000 07 173.
 2000 08 75
 2001 02  990.
 2001 03  20.
 2001 04  892·
 2001 05  932.
 2001 07  173·
 2001 09  191.
 2001 10  93.
 2001 12  742.
 2002 02 360.
 2002 03 203.
 2002 04 643.
 2002 05 393·
 2002 07 54.
 2002 08 850·
 2002 09 672.
 2002 10 315.
 2002 11 1
 2002 12 215·
 2003 01  566.
 2003 02  193·
 2003 03  243.
 2003 04  601·
 2003 05  940·
 2003 06  980·
 2003 07  991.
 2003 08  580.
 2003 09  692.
 2003 10  86
 2003 11  770.
 2003 12  981.
 2004 01 94
 2004 02 281·
 2004 03 33
 2004 06 850·
 2004 07 62·
 2004 08 932·
 2004 09 682·
 2004 10 512·
 2005 01  692·
 2005 02  755·
 2005 03  63·
 2005 04  532·
 2005 07  70
 2005 08  93
 2005 10  981·
 2005 11  73
 2005 12  231.
 2006 01 923.
 2006 05 202.
 2006 06 184.
 2006 07 64
 2006 08 400·
 2007 01  722·
 2007 02  18
 2007 03  583.
 2007 04  313.
 2007 05  801.
 2007 06  300.
 2007 07  927.
 2007 08  850·
 2007 09  934.
 2007 11  370.
 2007 12  790.
 2008 01 460·
 2008 02 882.
 2008 04 45
 2008 05 561.
 2008 12 844·
 2009 01  64
 2009 06  850·
 2009 07  870·
 2009 08  910·
 2009 09  47
 2009 10  141.
 2009 11  600·
 2009 12  871·
 2010 01 870·
 2010 02 140·
 2010 03 870.
 2010 04 170·
 2010 05 603.
 2010 06 910.
 2010 07 63.
 2010 08 500.
 2010 09 670.
 2010 10 772·
 2010 11 802.
 2010 12 792·
 2011 01  312.
 2011 02  29
 2011 03  983.
 2011 04  24
 2011 05  50·
 2011 06  280.
 2011 07  720.
 2011 08  290·
 2011 09  632·
 2011 10  822.
 2011 11  392·
 2011 12  633·
 2012 01 60.
 2012 02 203·
 2012 03 633.
 2012 04 213.
 2012 05 593.
 2012 06 10·
 2012 07 320·
 2012 08 200·
 2012 09 720·
 2012 10 60.
 2012 11 590.
 2012 12 73.
 2013 01  21
 2013 02  413.
 2013 03  813.
 2013 04  493.
 2013 05  60·
 2013 06  390.
 2013 07  610·
 2013 08  410.
 2013 09  533.
 2013 10  550·
 2013 11  87
 2013 12  20·
 2014 01 120.
 2014 02 721.
 2014 03 730·
 2014 04 760.
 2014 05 593·
 2014 06 960·
 2014 07 560.
 2014 08 320·
 2014 09 933.
 2014 10 580.
 2014 11 980.
 2014 12 650·
 2015 01  410.
 2015 02  164.
 2015 03  887.
 2015 04  939·
 2015 05  527·
 2015 06  504·
 2015 07  390.
 2015 08  610.
 2015 09  20·
 2015 10  690.
 2015 11  890.
 2015 12  384·
 2016 01 920.
 2016 02 21.
 2016 03 04·
 2016 04 180·
 2016 05 460.
 2016 06 80.
 2016 07 602·
 2016 08 190·
 2016 09 160·
 2016 10 67
 2016 11 830.
 2016 12 870·
 2017 01  76
 2017 02  861.
 2017 03  54.


 2017 04  913·
 2017 05  27
 2017 06  984.
 2017 07  910.
 2017 08  241.
 2017 09  940·
 2017 10  570·
 2017 11  270·
 2017 12  50·
 2018 01 280·
 2018 02 470.
 2018 03 280·
 2018 04 801.
 2018 05 40·
 2018 06 730.
Economagic: Year Chart
Economagic: Economic Chart Dispenser

Click on chart to change display options.


Similar Series

Skip to Data / More Chart Options

US Unemployment Rate: Alternative Measures of Labor Underutilization

Charts

Unemployment Rate and 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, Unpaid Family Workers, 35-44 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

Subscribers can access data in Excel spreadsheet, and Copy & Paste formats.

Sites of Interest: Cheap Football Shirt * GGG Marketing SEO Experts * homes for sale - pelican marsh * Invokana Attorneys * The Wall Street Examiner: Be prepared. Stay ahead of the herd

 Subscriber Login  |  Subscription Info  |  Turn Advanced Features On  |  Change Defaults  |  Disclaimer
 Browse Data Titles  |  Charts  |  Excel  |  Reports  |  Search  |  Maps & Movies  |  Help  |  About  |  Contact Us
 Economagic.com: Economic Time Series Page
Sitemap