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 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
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 1990 01 1545.
 1990 02 5327·
 1990 03 3749.
 1990 04 2162.
 1990 05 8053·
 1990 06 9591.
 1990 07 4677·
 1990 08 4488·
 1990 09 8084·
 1990 10 567·
 1990 11 2533·
 1990 12 3534·
 1991 01  6635·
 1991 02  6348·
 1991 03  8641.
 1991 04  3730·
 1991 05  1259.
 1991 06  7796·
 1991 07  6858·
 1991 08  2092·
 1991 09  2069·
 1991 10  7870.
 1991 11  3339.
 1991 12  7827·
 1992 01 1431·
 1992 02 2340.
 1992 03 6958.
 1992 04 3057·
 1992 05 4653.
 1992 06 9377.
 1992 07 8959.
 1992 08 2061·
 1992 09 9066·
 1992 10 9537·
 1992 11 3246·
 1992 12 1841.
 1993 01  4642·
 1993 02  6128·
 1993 03  5939.
 1993 04  1646.
 1993 05  4149.
 1993 06  4756.
 1993 07  5960·
 1993 08  3659·
 1993 09  2461.
 1993 10  3548.
 1993 11  4564.
 1993 12  2051·
 1994 01 7247·
 1994 02 3247.
 1994 03 5441.
 1994 04 3751·
 1994 05 8468.
 1994 06 6977.
 1994 07 5085.
 1994 08 8398.
 1994 09 8571.
 1994 10 455·
 1994 11 2049·
 1994 12 7647·
 1995 01  2732.
 1995 02  1637·
 1995 03  7761·
 1995 04  6061.
 1995 05  8487·
 1995 06  1493·
 1995 07  5985·
 1995 08  486.
 1995 09  5882·
 1995 10  2978·
 1995 11  3061·
 1995 12  356·
 1996 01 7250.
 1996 02 1773.
 1996 03 7670·
 1996 04 7655·
 1996 05 7956.
 1996 06 6084·
 1996 07 1180·
 1996 08 6676·
 1996 09 5265.
 1996 10 6561.
 1996 11 7366·
 1996 12 4444.
 1997 01  9360·
 1997 02  6347·
 1997 03  2543.
 1997 04  279·
 1997 05  2782.
 1997 06  1184.
 1997 07  54115.
 1997 08  61115·
 1997 09  4112·
 1997 10  9179·
 1997 11  7375.
 1997 12  6469.
 1998 01 068·
 1998 02 1086.
 1998 03 2070·
 1998 04 8175.
 1998 05 1586·
 1998 06 9865·
 1998 07 5984.
 1998 08 5146·
 1998 09 74128·
 1998 10 1389·
 1998 11 7758.
 1998 12 5640·
 1999 01  2867.
 1999 02  3663.
 1999 03  8651.
 1999 04  7875.
 1999 05  5377·
 1999 06  74123·
 1999 07  26108·
 1999 08  40108.
 1999 09  4896.
 1999 10  5978.
 1999 11  5867.
 1999 12  3697·
 2000 01 3990·
 2000 02 4682.
 2000 03 7175.
 2000 04 8583·
 2000 05 7779.
 2000 06 1998.
 2000 07 7777.
 2000 08 3290·
 2000 09 3654·
 2000 10 8364·
 2000 11 1463.
 2000 12 4664.
 2001 01  1886.
 2001 02  7059.
 2001 03  4655·
 2001 04  2167.
 2001 05  47104.
 2001 06  3666·
 2001 07  6049.
 2001 08  7568·
 2001 09  7464.
 2001 10  6485.
 2001 11  6969·
 2001 12  5356·
 2002 01 7484.
 2002 02 6171.
 2002 03 1161.
 2002 04 2567·
 2002 05 4999.
 2002 06 5685.
 2002 07 49116.
 2002 08 8472·
 2002 09 2297·
 2002 10 8106·
 2002 11 7163.
 2002 12 4957·
 2003 01  4558.
 2003 02  9867.
 2003 03  8980·
 2003 04  6572.
 2003 05  9384·
 2003 06  3383.
 2003 07  4282.
 2003 08  1114.
 2003 09  66114·
 2003 10  43120.
 2003 11  9290.
 2003 12  5181·
 2004 01 9069·
 2004 02 8749·
 2004 03 2748.
 2004 04 3469·
 2004 05 1575·
 2004 06 4577.
 2004 07 6176.
 2004 08 94117.
 2004 09 17101.
 2004 10 2497·
 2004 11 3093·
 2004 12 044·
 2005 01  9549·
 2005 02  5643·
 2005 03  9956.
 2005 04  4648.
 2005 05  7666.
 2005 06  9772·
 2005 07  5474·
 2005 08  5397·
 2005 09  988·
 2005 10  2976·
 2005 11  1074.
 2005 12  6347·
 2006 01 7153.
 2006 02 5951·
 2006 03 244·
 2006 04 4681.
 2006 05 6080·
 2006 06 19118·
 2006 07 96100·
 2006 08 96112·
 2006 09 475·
 2006 10 6462.
 2006 11 7748·
 2006 12 3252·
 2007 01  5245.
 2007 02  7765.
 2007 03  6072.
 2007 04  9863.
 2007 05  8057·
 2007 06  6490.
 2007 07  8382.
 2007 08  6454.
 2007 09  8768.
 2007 10  5762.
 2007 11  749·
 2007 12  2367.
 2008 01 064.
 2008 02 1347·
 2008 03 2163.
 2008 04 9671.
 2008 05 6961.
 2008 06 1363·
 2008 07 3873·
 2008 08 2589·
 2008 09 6982.
 2008 10 63101.
 2008 11 9665.
 2008 12 8064.
 2009 01  082·
 2009 02  9660.
 2009 03  5845·
 2009 04  5573·
 2009 05  8984.
 2009 06  6896.
 2009 07  1199.
 2009 08  6996.
 2009 09  8579·
 2009 10  6167·
 2009 11  6866·
 2009 12  6757·
 2010 01 6367·
 2010 02 8160.
 2010 03 6851.
 2010 04 1853.
 2010 05 25115.
 2010 06 61118.
 2010 07 73120·
 2010 08 15117.
 2010 09 95109·
 2010 10 55115·
 2010 11 7198.
 2010 12 7873.
 2011 01  2481.
 2011 02  4885.
 2011 03  7559.
 2011 04  5163·
 2011 05  8898.
 2011 06  44124·
 2011 07  23145·
 2011 08  3136.
 2011 09  86112·
 2011 10  7690.
 2011 11  7866.
 2011 12  2884.
 2012 01 4484.
 2012 02 9991·
 2012 03 2765.
 2012 04 4644.
 2012 05 1371.
 2012 06 9795.
 2012 07 84111·
 2012 08 1109.
 2012 09 68128·
 2012 10 75113·
 2012 11 8679.
 2012 12 6162·
 2013 01  947·
 2013 02  6653·
 2013 03  9751·
 2013 04  2175·
 2013 05  6190·
 2013 06  2579·
 2013 07  4104·
 2013 08  096·
 2013 09  76118·
 2013 10  35140.
 2013 11  20125·
 2013 12  4265·
 2014 01 2868.
 2014 02 155·
 2014 03 8370·
 2014 04 16103.
 2014 05 17123·
 2014 06 57123·
 2014 07 56123·
 2014 08 17105.
 2014 09 70124.
 2014 10 58122.
 2014 11 27105.
 2014 12 6375·
 2015 01  3780·
 2015 02  8578·
 2015 03  891.
 2015 04  99127·
 2015 05  9379·
 2015 06  47108·
 2015 07  3893·
 2015 08  93118.
 2015 09  38135.
 2015 10  73133·
 2015 11  80118·
 2015 12  41114.
 2016 01 98106·
 2016 02 22122.
 2016 03 20109.
 2016 04 61104·
 2016 05 22107·
 2016 06 74119·
 2016 07 73130.
 2016 08 97158.
 2016 09 88160.
 2016 10 36135·
 2016 11 77124.
 2016 12 1894·
 2017 01  9488.
 2017 02  4082.
 2017 03  93108.
 2017 04  19132.


 2017 05  67176.
 2017 06  43179·
 2017 07  10152·
 2017 08  19134·
 2017 09  57158.
 2017 10  25161·
 2017 11  41149.
 2017 12  61102·
 2018 01 3894·
 2018 02 95106.
 2018 03 23104.
 2018 04 1587·
 2018 05 13115·
 2018 06 82129·
 2018 07 20196.
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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

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