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 Series Title: Employment Level: Mexican, Food Preparation and Serving Related Occupations: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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 2012 04 161313·
 2012 03 871414·
 2012 02 471345.
 2012 01 551318.
 2011 12  941228.
 2011 11  501246·
 2011 10  91171.
 2011 09  891185.
 2011 08  881134.
 2011 07  611116.
 2011 06  221096·
 2011 05  721166·
 2011 04  491149.
 2011 03  21124·
 2011 02  991198.
 2011 01  481210·
 2010 12 511219·
 2010 11 801109.
 2010 10 781172·
 2010 09 861253·
 2010 08 971256.
 2010 07 261253·
 2010 06 211169·
 2010 05 801240·
 2010 04 101243·
 2010 03 981178.
 2010 02 171210·
 2010 01 491167·
 2009 12  411142·
 2009 11  761082·
 2009 10  781198.
 2009 09  381211·
 2009 08  661266·
 2009 07  671380·
 2009 06  421340·
 2009 05  151297·
 2009 04  851228.
 2009 03  41212.
 2009 02  721161·
 2009 01  751148.
 2008 12 241232·
 2008 11 421267·
 2008 10 571171.
 2008 09 361172·
 2008 08 331229.
 2008 07 631243.
 2008 06 81137·
 2008 05 441148.
 2008 04 861038·
 2008 03 741084.
 2008 02 651086·
 2008 01 661147·
 2007 12  861148·
 2007 11  61180·
 2007 10  891177.
 2007 09  981138.
 2007 08  561042·
 2007 07  171068·
 2007 06  681149.
 2007 05  581062.
 2007 04  481106.
 2007 03  881117·
 2007 02  161092.
 2007 01  911117.
 2006 12 371120.
 2006 11 241172·
 2006 10 711241·
 2006 09 651102·
 2006 08 231144·
 2006 07 601135.
 2006 06 941181.
 2006 05 751131.
 2006 04 311174.
 2006 03 491131·
 2006 02 751096·
 2006 01 401048.
 2005 12  131049·
 2005 11  751063·
 2005 10  261016·
 2005 09  41025.
 2005 08  421075.
 2005 07  441073·
 2005 06  851112.
 2005 05  361214·
 2005 04  211119.
 2005 03  881128.
 2005 02  141069.
 2005 01  311024.
 2004 12 741009·
 2004 11 63960.
 2004 10 3960.
 2004 09 7900.
 2004 08 51913·
 2004 07 511006.
 2004 06 63994.
 2004 05 81054.
 2004 04 281052.
 2004 03 591004·
 2004 02 32958.
 2004 01 4883.
 2003 12  6861.
 2003 11  17875.
 2003 10  74843·
 2003 09  90810.
 2003 08  9860.
 2003 07  841031.
 2003 06  761137·
 2003 05  831179·
 2003 04  881179.
 2003 03  401150.
 2003 02  521039.
 2003 01  281040.
 2002 12 19958·
 2002 11 92931·
 2002 10 38954·
 2002 09 95896·
 2002 08 2898·
 2002 07 72922·
 2002 06 98950·
 2002 05 77879.
 2002 04 62965·
 2002 03 36919.
 2002 02 21886·
 2002 01 94937·
 2001 12  49918.
 2001 11  67961·
 2001 10  18881·
 2001 09  90840.
 2001 08  40889·
 2001 07  70892·
 2001 06  27931·
 2001 05  33823.
 2001 04  34924·
 2001 03  77977·
 2001 02  121013·
 2001 01  19980·
 2000 12 57970.
 2000 11 46960·
 2000 10 61999·
 2000 09 65959.
 2000 08 60863.
 2000 07 57740.
 2000 06 86809·
 2000 05 17860.
 2000 04 16914.
 2000 03 17942.
 2000 02 25859·
 2000 01 44900·
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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: Mexican, Food Preparation and Serving Related Occupations: 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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