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 Series Title: Employment Level: Mexican, Community and Social Services Occupations: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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 2012 04 77134.
 2012 03 5150·
 2012 02 24162.
 2012 01 17153·
 2011 12  94126.
 2011 11  63148.
 2011 10  38121·
 2011 09  60153·
 2011 08  52142.
 2011 07  95143·
 2011 06  28132·
 2011 05  76131·
 2011 04  2136.
 2011 03  82142.
 2011 02  7123·
 2011 01  11109·
 2010 12 19118.
 2010 11 31109·
 2010 10 13114.
 2010 09 32121.
 2010 08 4108.
 2010 07 7398·
 2010 06 897·
 2010 05 34104.
 2010 04 82115·
 2010 03 65116.
 2010 02 80116·
 2010 01 36117·
 2009 12  3126.
 2009 11  89135.
 2009 10  43135.
 2009 09  83117·
 2009 08  42105·
 2009 07  51119·
 2009 06  35129.
 2009 05  43134.
 2009 04  1136·
 2009 03  83129.
 2009 02  17156.
 2009 01  11137.
 2008 12 4118·
 2008 11 41123.
 2008 10 79129·
 2008 09 6115.
 2008 08 2113·
 2008 07 8124.
 2008 06 32116·
 2008 05 72106.
 2008 04 7093.
 2008 03 9080·
 2008 02 1581·
 2008 01 77112.
 2007 12  9114·
 2007 11  1899·
 2007 10  91111.
 2007 09  1799·
 2007 08  44114·
 2007 07  50121.
 2007 06  47149·
 2007 05  11157·
 2007 04  25146.
 2007 03  6699.
 2007 02  97109.
 2007 01  2110.
 2006 12 2989.
 2006 11 7489.
 2006 10 7984·
 2006 09 5987·
 2006 08 5499·
 2006 07 497.
 2006 06 54112·
 2006 05 77114.
 2006 04 27111·
 2006 03 1586.
 2006 02 1290.
 2006 01 7595·
 2005 12  9882.
 2005 11  87112·
 2005 10  6594·
 2005 09  97113·
 2005 08  42127.
 2005 07  2693.
 2005 06  51114.
 2005 05  13108·
 2005 04  60113·
 2005 03  6698.
 2005 02  32101.
 2005 01  15107.
 2004 12 77109.
 2004 11 62111·
 2004 10 9884·
 2004 09 25114·
 2004 08 44101·
 2004 07 95118.
 2004 06 60120.
 2004 05 84111.
 2004 04 35119·
 2004 03 73118·
 2004 02 56109.
 2004 01 64112.
 2003 12  52145·
 2003 11  28124·
 2003 10  50110.
 2003 09  5798.
 2003 08  2073.
 2003 07  1577.
 2003 06  2989·
 2003 05  84103.
 2003 04  89107.
 2003 03  17113.
 2003 02  696·
 2003 01  88106·
 2002 12 3477·
 2002 11 4082·
 2002 10 2088.
 2002 09 3869·
 2002 08 5672.
 2002 07 1570.
 2002 06 3290.
 2002 05 2882.
 2002 04 8181.
 2002 03 097.
 2002 02 3179·
 2002 01 78110.
 2001 12  58106·
 2001 11  7785·
 2001 10  3094·
 2001 09  3282.
 2001 08  6375·
 2001 07  5076·
 2001 06  6764.
 2001 05  5873·
 2001 04  9771.
 2001 03  5375·
 2001 02  468.
 2001 01  5273.
 2000 12 8495.
 2000 11 4266·
 2000 10 2970·
 2000 09 3289·
 2000 08 7676.
 2000 07 9982.
 2000 06 5687.
 2000 05 4267.
 2000 04 4788·
 2000 03 3079.
 2000 02 2277.
 2000 01 5268·
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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, Community and Social Services 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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