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 Series Title: Employment Level: Puerto Rican, Personal Care and Service Occupations: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Excel file  |  Self-updating Excel file
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 2012 04 1576.
 2012 03 5170·
 2012 02 7557.
 2012 01 8469·
 2011 12  9852·
 2011 11  4185·
 2011 10  3673·
 2011 09  3976·
 2011 08  8578·
 2011 07  6794·
 2011 06  3684.
 2011 05  3165.
 2011 04  2656·
 2011 03  1035·
 2011 02  8749·
 2011 01  366·
 2010 12 9659·
 2010 11 7865·
 2010 10 2769·
 2010 09 2466.
 2010 08 9780.
 2010 07 173·
 2010 06 1957.
 2010 05 8963·
 2010 04 5373·
 2010 03 3769·
 2010 02 5269·
 2010 01 1761.
 2009 12  1557·
 2009 11  6775·
 2009 10  3792.
 2009 09  5160·
 2009 08  5869.
 2009 07  9873.
 2009 06  1334·
 2009 05  6245·
 2009 04  8250·
 2009 03  6268.
 2009 02  4274.
 2009 01  42106.
 2008 12 13110·
 2008 11 1571·
 2008 10 1384·
 2008 09 1278·
 2008 08 284.
 2008 07 3871.
 2008 06 3876.
 2008 05 1586·
 2008 04 2472·
 2008 03 3968.
 2008 02 5642·
 2008 01 2146·
 2007 12  7956.
 2007 11  4866·
 2007 10  2958.
 2007 09  2453.
 2007 08  9248.
 2007 07  2473·
 2007 06  4568·
 2007 05  4379.
 2007 04  1485.
 2007 03  4672.
 2007 02  1761·
 2007 01  2161·
 2006 12 2051.
 2006 11 2342·
 2006 10 8331·
 2006 09 2934.
 2006 08 1145.
 2006 07 8556.
 2006 06 651·
 2006 05 6065·
 2006 04 1353·
 2006 03 9062·
 2006 02 7361.
 2006 01 3376·
 2005 12  7458·
 2005 11  1841·
 2005 10  9844·
 2005 09  9329·
 2005 08  7248·
 2005 07  7753·
 2005 06  1969.
 2005 05  868.
 2005 04  660.
 2005 03  9777.
 2005 02  9773.
 2005 01  7458·
 2004 12 154·
 2004 11 3761·
 2004 10 2254·
 2004 09 842·
 2004 08 953·
 2004 07 7766·
 2004 06 662·
 2004 05 5685·
 2004 04 483·
 2004 03 2466.
 2004 02 8757·
 2004 01 8577·
 2003 12  8767.
 2003 11  1039.
 2003 10  2852.
 2003 09  9145·
 2003 08  8347.
 2003 07  9185.
 2003 06  1765.
 2003 05  9342·
 2003 04  4249·
 2003 03  5045·
 2003 02  6653·
 2003 01  3466.
 2002 12 4149.
 2002 11 9149·
 2002 10 1463·
 2002 09 8561·
 2002 08 7972·
 2002 07 4864·
 2002 06 2364.
 2002 05 3844.
 2002 04 8252·
 2002 03 7746·
 2002 02 8248.
 2002 01 1345.
 2001 12  9945·
 2001 11  6037.
 2001 10  339.
 2001 09  5429.
 2001 08  837·
 2001 07  357·
 2001 06  2466.
 2001 05  3157·
 2001 04  763·
 2001 03  3755·
 2001 02  857·
 2001 01  3833·
 2000 12 2337.
 2000 11 2061.
 2000 10 4334.
 2000 09 9340·
 2000 08 641.
 2000 07 3341·
 2000 06 4260.
 2000 05 4161·
 2000 04 3056.
 2000 03 8360.
 2000 02 4355.
 2000 01 5059·
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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: Puerto Rican, Personal Care and Service 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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