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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 9545.
 1990 02 2127·
 1990 03 549.
 1990 04 762·
 1990 05 853.
 1990 06 9591.
 1990 07 5477.
 1990 08 288·
 1990 09 3884·
 1990 10 1767·
 1990 11 5333·
 1990 12 4634·
 1991 01  3535·
 1991 02  6948·
 1991 03  1641·
 1991 04  8330·
 1991 05  7359·
 1991 06  5896·
 1991 07  8058·
 1991 08  8292.
 1991 09  5469·
 1991 10  1570.
 1991 11  939.
 1991 12  3727·
 1992 01 431·
 1992 02 9740.
 1992 03 9158.
 1992 04 6757·
 1992 05 7153.
 1992 06 8677·
 1992 07 3859·
 1992 08 1761·
 1992 09 3266·
 1992 10 8937.
 1992 11 8846.
 1992 12 5541·
 1993 01  8742·
 1993 02  3628.
 1993 03  539.
 1993 04  7546·
 1993 05  6249·
 1993 06  8556·
 1993 07  7560·
 1993 08  9859.
 1993 09  661·
 1993 10  1748.
 1993 11  1264·
 1993 12  6651.
 1994 01 9647.
 1994 02 3947.
 1994 03 5541.
 1994 04 5051·
 1994 05 3168·
 1994 06 8377·
 1994 07 6485.
 1994 08 4298·
 1994 09 3871.
 1994 10 455·
 1994 11 3049·
 1994 12 6347·
 1995 01  6532.
 1995 02  8637.
 1995 03  6461.
 1995 04  5761.
 1995 05  9087.
 1995 06  3493.
 1995 07  485·
 1995 08  9286·
 1995 09  1282·
 1995 10  7978·
 1995 11  1461.
 1995 12  6356.
 1996 01 5650·
 1996 02 8073.
 1996 03 8170·
 1996 04 8955.
 1996 05 7456·
 1996 06 1784.
 1996 07 1780·
 1996 08 1476·
 1996 09 3965·
 1996 10 9761·
 1996 11 6266.
 1996 12 744·
 1997 01  5460.
 1997 02  5247·
 1997 03  7843.
 1997 04  6279.
 1997 05  4382.
 1997 06  3884.
 1997 07  52115.
 1997 08  99115.
 1997 09  56112·
 1997 10  3779.
 1997 11  9875.
 1997 12  6269.
 1998 01 6968·
 1998 02 5586·
 1998 03 5370.
 1998 04 1975·
 1998 05 8286·
 1998 06 2565·
 1998 07 8184.
 1998 08 65146·
 1998 09 21128.
 1998 10 289.
 1998 11 6958.
 1998 12 1940·
 1999 01  3767·
 1999 02  6963.
 1999 03  3151.
 1999 04  2675.
 1999 05  377·
 1999 06  32123.
 1999 07  3108.
 1999 08  53108.
 1999 09  2296.
 1999 10  2378·
 1999 11  4967.
 1999 12  9797·
 2000 01 1890·
 2000 02 9982.
 2000 03 5775.
 2000 04 7483.
 2000 05 4279·
 2000 06 4098.
 2000 07 4077.
 2000 08 3190·
 2000 09 6854·
 2000 10 5464·
 2000 11 3663.
 2000 12 3564.
 2001 01  9886·
 2001 02  7259·
 2001 03  755.
 2001 04  8267·
 2001 05  57104.
 2001 06  5266.
 2001 07  4149.
 2001 08  8968·
 2001 09  9664·
 2001 10  7385·
 2001 11  5269.
 2001 12  256.
 2002 01 8884·
 2002 02 4571.
 2002 03 7761·
 2002 04 9067·
 2002 05 3699·
 2002 06 9785·
 2002 07 79116.
 2002 08 4672·
 2002 09 6497·
 2002 10 86106·
 2002 11 4663.
 2002 12 8957·
 2003 01  2358.
 2003 02  9567.
 2003 03  9180·
 2003 04  6572·
 2003 05  8884·
 2003 06  3083·
 2003 07  5182.
 2003 08  41114.
 2003 09  60114.
 2003 10  22120.
 2003 11  9190.
 2003 12  1381·
 2004 01 6469·
 2004 02 2849·
 2004 03 9648.
 2004 04 9969.
 2004 05 5075·
 2004 06 2977.
 2004 07 8276.
 2004 08 43117.
 2004 09 94101.
 2004 10 3497.
 2004 11 8493.
 2004 12 1544.
 2005 01  9649·
 2005 02  7243·
 2005 03  6756·
 2005 04  948·
 2005 05  8166.
 2005 06  172·
 2005 07  1874·
 2005 08  4397·
 2005 09  188·
 2005 10  276·
 2005 11  5074·
 2005 12  6347·
 2006 01 2953·
 2006 02 8251.
 2006 03 044·
 2006 04 3681·
 2006 05 6880·
 2006 06 73118.
 2006 07 33100.
 2006 08 58112·
 2006 09 4175.
 2006 10 3162·
 2006 11 3548.
 2006 12 4852.
 2007 01  045·
 2007 02  3765·
 2007 03  2072.
 2007 04  4963·
 2007 05  2057·
 2007 06  090·
 2007 07  2582·
 2007 08  3054·
 2007 09  168.
 2007 10  4962·
 2007 11  1349.
 2007 12  8767.
 2008 01 6964·
 2008 02 4247·
 2008 03 7363.
 2008 04 3771.
 2008 05 7461·
 2008 06 6163·
 2008 07 1773·
 2008 08 2589·
 2008 09 9182·
 2008 10 12101.
 2008 11 8265.
 2008 12 2164·
 2009 01  2182.
 2009 02  2660·
 2009 03  3345·
 2009 04  1873.
 2009 05  8984·
 2009 06  6196.
 2009 07  5699·
 2009 08  3696·
 2009 09  4679.
 2009 10  9767·
 2009 11  6666.
 2009 12  1857.
 2010 01 6767·
 2010 02 4360·
 2010 03 9851·
 2010 04 3553.
 2010 05 52115.
 2010 06 28118.
 2010 07 17120·
 2010 08 79117.
 2010 09 27109·
 2010 10 11115·
 2010 11 1198.
 2010 12 7073.
 2011 01  4381.
 2011 02  7285·
 2011 03  9259·
 2011 04  5263.
 2011 05  7398.
 2011 06  18124·
 2011 07  98145.
 2011 08  95136.
 2011 09  20112·
 2011 10  8190.
 2011 11  9166.
 2011 12  9384.
 2012 01 884.
 2012 02 1891.
 2012 03 6165·
 2012 04 6444·
 2012 05 8871·
 2012 06 995.
 2012 07 20111·
 2012 08 53109·
 2012 09 35128.
 2012 10 63113.
 2012 11 579·
 2012 12 2862·
 2013 01  4947.
 2013 02  953.
 2013 03  8051·
 2013 04  8575.
 2013 05  5690·
 2013 06  679.
 2013 07  32104·
 2013 08  4296·
 2013 09  7118·
 2013 10  35140.
 2013 11  75125·
 2013 12  4465·
 2014 01 7668.
 2014 02 255·
 2014 03 4670.
 2014 04 59103.
 2014 05 65123·
 2014 06 38123.
 2014 07 8123·
 2014 08 82105·
 2014 09 97124.
 2014 10 2122·
 2014 11 49105·
 2014 12 3175.
 2015 01  2580.
 2015 02  7378.
 2015 03  8291·
 2015 04  51127·
 2015 05  2379.
 2015 06  60108·
 2015 07  4593.
 2015 08  12118.
 2015 09  92135·
 2015 10  93133·
 2015 11  1118.
 2015 12  6114.
 2016 01 56106·
 2016 02 29122.
 2016 03 37109.
 2016 04 54104·
 2016 05 67107·
 2016 06 50119.
 2016 07 67130·
 2016 08 0158·
 2016 09 0160.
 2016 10 62135·
 2016 11 28124.
 2016 12 1294·
 2017 01  5588·
 2017 02  9782.
 2017 03  83108·
 2017 04  85132·
 2017 05  58176.
 2017 06  12179·
 2017 07  20152.
 2017 08  38134·


 2017 09  58158·
 2017 10  89161·
 2017 11  53149.
 2017 12  15102·
 2018 01 3294·
 2018 02 33106.
 2018 03 18104·
 2018 04 8587·
 2018 05 80115·
 2018 06 78129.
 2018 07 80196·
 2018 08 42168·
 2018 09 27213.
 2018 10 78174·
 2018 11 25162·
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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

New data set: Quarterly Financial Reporting: Manufacturing, Mining, Trade, and Selected Service Industries

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