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, Mexican 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
 1990 01 2045·
 1990 02 9527.
 1990 03 3749·
 1990 04 6062·
 1990 05 353.
 1990 06 991·
 1990 07 2077.
 1990 08 1188·
 1990 09 3484·
 1990 10 267·
 1990 11 8633.
 1990 12 4234.
 1991 01  6335.
 1991 02  5748.
 1991 03  4741·
 1991 04  9630·
 1991 05  6559.
 1991 06  7996·
 1991 07  4058·
 1991 08  4592·
 1991 09  4169·
 1991 10  270.
 1991 11  3039·
 1991 12  8027·
 1992 01 1631.
 1992 02 8040.
 1992 03 358·
 1992 04 2257.
 1992 05 4053.
 1992 06 9777.
 1992 07 7259·
 1992 08 1561·
 1992 09 9066.
 1992 10 5837·
 1992 11 7746.
 1992 12 2741.
 1993 01  6442.
 1993 02  9528.
 1993 03  7839·
 1993 04  5346.
 1993 05  9049·
 1993 06  6556.
 1993 07  6560·
 1993 08  1359.
 1993 09  1661.
 1993 10  5048·
 1993 11  5064·
 1993 12  4951·
 1994 01 2047·
 1994 02 5547·
 1994 03 7241·
 1994 04 3251.
 1994 05 9968·
 1994 06 1477.
 1994 07 9285.
 1994 08 5598.
 1994 09 8271·
 1994 10 8255·
 1994 11 9949·
 1994 12 3847·
 1995 01  1732.
 1995 02  4037·
 1995 03  561.
 1995 04  2561·
 1995 05  8087.
 1995 06  9793.
 1995 07  5085.
 1995 08  8486.
 1995 09  7182.
 1995 10  8378·
 1995 11  9561.
 1995 12  1156·
 1996 01 1650.
 1996 02 5573·
 1996 03 2870.
 1996 04 2355·
 1996 05 6656·
 1996 06 9484.
 1996 07 6280.
 1996 08 6676.
 1996 09 9565.
 1996 10 861·
 1996 11 3666.
 1996 12 944.
 1997 01  460.
 1997 02  2847.
 1997 03  1243·
 1997 04  4579.
 1997 05  1982.
 1997 06  1084·
 1997 07  78115·
 1997 08  93115·
 1997 09  89112·
 1997 10  3679.
 1997 11  4775.
 1997 12  9969.
 1998 01 9068.
 1998 02 1386·
 1998 03 5670.
 1998 04 3175·
 1998 05 2486·
 1998 06 7365·
 1998 07 6984·
 1998 08 82146·
 1998 09 14128·
 1998 10 7189.
 1998 11 7458.
 1998 12 7340·
 1999 01  1167.
 1999 02  9163.
 1999 03  8351.
 1999 04  4875·
 1999 05  9177·
 1999 06  38123·
 1999 07  34108·
 1999 08  75108.
 1999 09  5496·
 1999 10  4478·
 1999 11  9167.
 1999 12  4997.
 2000 01 2690.
 2000 02 6582.
 2000 03 4075.
 2000 04 8883.
 2000 05 5779.
 2000 06 8498.
 2000 07 9677.
 2000 08 3890.
 2000 09 2254.
 2000 10 664.
 2000 11 9563·
 2000 12 6664·
 2001 01  2286.
 2001 02  6559.
 2001 03  255.
 2001 04  6867·
 2001 05  82104.
 2001 06  1566·
 2001 07  349·
 2001 08  6368·
 2001 09  5264.
 2001 10  4085·
 2001 11  1169.
 2001 12  9456·
 2002 01 884.
 2002 02 4471·
 2002 03 6561.
 2002 04 3067.
 2002 05 5099·
 2002 06 6185.
 2002 07 27116·
 2002 08 6772.
 2002 09 597·
 2002 10 47106·
 2002 11 8663·
 2002 12 2257.
 2003 01  2158.
 2003 02  8367.
 2003 03  5380.
 2003 04  4172.
 2003 05  7484.
 2003 06  7783·
 2003 07  6882.
 2003 08  92114.
 2003 09  66114·
 2003 10  59120·
 2003 11  9390·
 2003 12  6981·
 2004 01 2069·
 2004 02 8649·
 2004 03 1548.
 2004 04 9269·
 2004 05 8875·
 2004 06 4077·
 2004 07 4876.
 2004 08 4117·
 2004 09 46101.
 2004 10 2897.
 2004 11 2993.
 2004 12 7544.
 2005 01  9249·
 2005 02  8143·
 2005 03  2256.
 2005 04  048.
 2005 05  5366·
 2005 06  5672.
 2005 07  1574·
 2005 08  9697·
 2005 09  8088·
 2005 10  3576.
 2005 11  1974·
 2005 12  947·
 2006 01 4753·
 2006 02 2451·
 2006 03 7444.
 2006 04 781.
 2006 05 5580.
 2006 06 54118·
 2006 07 42100·
 2006 08 84112·
 2006 09 3075·
 2006 10 8362·
 2006 11 1048·
 2006 12 6052.
 2007 01  2145·
 2007 02  9365.
 2007 03  9372.
 2007 04  7963·
 2007 05  457·
 2007 06  8990.
 2007 07  2782.
 2007 08  1054·
 2007 09  8068·
 2007 10  362.
 2007 11  7549.
 2007 12  4767·
 2008 01 7364·
 2008 02 9247.
 2008 03 2763.
 2008 04 971.
 2008 05 3561·
 2008 06 3863.
 2008 07 9373·
 2008 08 4189.
 2008 09 4182·
 2008 10 48101.
 2008 11 1365.
 2008 12 1164·
 2009 01  9082.
 2009 02  5260.
 2009 03  4945·
 2009 04  1473·
 2009 05  1084.
 2009 06  896·
 2009 07  8999.
 2009 08  6896.
 2009 09  4979·
 2009 10  9767·
 2009 11  4666·
 2009 12  1957.
 2010 01 8367·
 2010 02 2660.
 2010 03 5751·
 2010 04 3453·
 2010 05 13115·
 2010 06 27118·
 2010 07 87120·
 2010 08 9117·
 2010 09 64109.
 2010 10 55115·
 2010 11 2298·
 2010 12 6273·
 2011 01  8681·
 2011 02  9485·
 2011 03  7559·
 2011 04  3763.
 2011 05  5598·
 2011 06  49124·
 2011 07  85145.
 2011 08  5136·
 2011 09  71112.
 2011 10  5290.
 2011 11  1466·
 2011 12  5884·
 2012 01 6084.
 2012 02 5991·
 2012 03 5165.
 2012 04 1544.
 2012 05 7271.
 2012 06 5495·
 2012 07 7111·
 2012 08 22109·
 2012 09 82128·
 2012 10 41113.
 2012 11 2179.
 2012 12 4762·
 2013 01  9247.
 2013 02  5253·
 2013 03  5651.
 2013 04  8575·
 2013 05  2590.
 2013 06  4579·
 2013 07  0104.
 2013 08  5496·
 2013 09  32118.
 2013 10  1140.
 2013 11  66125·
 2013 12  9865·
 2014 01 9068·
 2014 02 2755·
 2014 03 9170·
 2014 04 88103·
 2014 05 98123.
 2014 06 53123.
 2014 07 38123.
 2014 08 16105.
 2014 09 82124.
 2014 10 38122·
 2014 11 96105.
 2014 12 275.
 2015 01  9280.
 2015 02  6278·
 2015 03  7691.
 2015 04  91127·
 2015 05  379·
 2015 06  32108.
 2015 07  1893.
 2015 08  50118.
 2015 09  16135·
 2015 10  80133.
 2015 11  84118·
 2015 12  76114.
 2016 01 57106·
 2016 02 62122·
 2016 03 62109.
 2016 04 85104·
 2016 05 75107·
 2016 06 61119.
 2016 07 64130·
 2016 08 24158·
 2016 09 46160·
 2016 10 82135·
 2016 11 29124·
 2016 12 6094·
 2017 01  7088·
 2017 02  5782·
 2017 03  20108.
 2017 04  89132.
 2017 05  74176.
 2017 06  43179·
 2017 07  24152·
 2017 08  28134.
 2017 09  7158.
 2017 10  22161·
 2017 11  54149.


 2017 12  23102·
 2018 01 4494·
 2018 02 0106·
 2018 03 49104.
 2018 04 4387.
 2018 05 86115.
 2018 06 9129.
 2018 07 70196·
 2018 08 81168·
 2018 09 59213·
 2018 10 6174·
 2018 11 7162·
 2018 12 56112.
 2019 01  13115·
 2019 02  72134.
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, Mexican 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

Know where the word economagic comes from?

Sites of Interest: Conerly Consulting: Economics for Business Decisions *

 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