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 Series Title: Employment Level: Puerto Rican, Building and Grounds Cleaning and Maintenance Occupations: NSA
   For this series:   Numerical Data  |  Forecast  |  GIF Chart  |  PDF Chart  |  Yearly Chart  |  Excel file  |  Self-updating Excel file
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 2000 01 5867.
 2000 02 6560·
 2000 03 3058.
 2000 04 4354·
 2000 05 1962·
 2000 06 7575.
 2000 07 2884.
 2000 08 2892·
 2000 09 390.
 2000 10 3956.
 2000 11 8469.
 2000 12 6876.
 2001 01  5970.
 2001 02  4166.
 2001 03  1061·
 2001 04  745·
 2001 05  6450·
 2001 06  8568.
 2001 07  4458.
 2001 08  1499·
 2001 09  1776.
 2001 10  372.
 2001 11  4859.
 2001 12  8363·
 2002 01 4560·
 2002 02 5358.
 2002 03 1267·
 2002 04 3474·
 2002 05 9791.
 2002 06 16103·
 2002 07 47111·
 2002 08 11107·
 2002 09 50111.
 2002 10 9993·
 2002 11 9175.
 2002 12 8283·
 2003 01  257.
 2003 02  3351.
 2003 03  858·
 2003 04  4263.
 2003 05  8082·
 2003 06  7468.
 2003 07  8568·
 2003 08  1182.
 2003 09  3569·
 2003 10  5107·
 2003 11  36112·
 2003 12  31103·
 2004 01 4165·
 2004 02 3257.
 2004 03 9777.
 2004 04 7356·
 2004 05 9876·
 2004 06 8792·
 2004 07 3299·
 2004 08 30101.
 2004 09 3390·
 2004 10 2789.
 2004 11 3069·
 2004 12 22100.
 2005 01  9693·
 2005 02  3293.
 2005 03  296.
 2005 04  93100·
 2005 05  6295.
 2005 06  1087.
 2005 07  8677·
 2005 08  1188.
 2005 09  3195·
 2005 10  92108·
 2005 11  4694·
 2005 12  7275·
 2006 01 2987·
 2006 02 3689·
 2006 03 70122.
 2006 04 93106·
 2006 05 689·
 2006 06 2290·
 2006 07 7078.
 2006 08 20105.
 2006 09 3890·
 2006 10 5788.
 2006 11 8474·
 2006 12 2278·
 2007 01  2591·
 2007 02  7374·
 2007 03  7587.
 2007 04  9286·
 2007 05  9286·
 2007 06  2789·
 2007 07  3195.
 2007 08  4993.
 2007 09  9075·
 2007 10  077.
 2007 11  6599.
 2007 12  3983·
 2008 01 9495.
 2008 02 9874.
 2008 03 1462·
 2008 04 2988.
 2008 05 586.
 2008 06 5491·
 2008 07 4388·
 2008 08 1563·
 2008 09 4874·
 2008 10 2483.
 2008 11 3769.
 2008 12 1585·
 2009 01  7380.
 2009 02  9082·
 2009 03  1291·
 2009 04  7475·
 2009 05  5695·
 2009 06  5969.
 2009 07  396.
 2009 08  6097·
 2009 09  9778·
 2009 10  6175.
 2009 11  7573·
 2009 12  6779.
 2010 01 2178.
 2010 02 5497·
 2010 03 15105.
 2010 04 16110.
 2010 05 80106·
 2010 06 1991·
 2010 07 3683·
 2010 08 4985.
 2010 09 4884.
 2010 10 6363.
 2010 11 7661·
 2010 12 3781·
 2011 01  2568.
 2011 02  1847.
 2011 03  9762·
 2011 04  7380·
 2011 05  3895·
 2011 06  4099.
 2011 07  8897.
 2011 08  77111.
 2011 09  36101·
 2011 10  1189·
 2011 11  6274.
 2011 12  9170.
 2012 01 9580·
 2012 02 3792.
 2012 03 56104.
 2012 04 87102·
 2012 05 1594·
 2012 06 5190·
 2012 07 3485.
 2012 08 5893.
 2012 09 2292·
 2012 10 8105.
 2012 11 8297.
 2012 12 22112.
 2013 01  65101·
 2013 02  91108·
 2013 03  15105·
 2013 04  2595·
 2013 05  2294·
 2013 06  578·
 2013 07  7082·
 2013 08  3483·
 2013 09  9196.
 2013 10  8492·
 2013 11  10103.


 2013 12  46103.
 2014 01 98102.
 2014 02 83104·
 2014 03 22117.
 2014 04 77111·
 2014 05 9496·
 2014 06 8392.
 2014 07 21108·
 2014 08 74105.
 2014 09 54121.
 2014 10 93100·
 2014 11 42111·
 2014 12 498.
 2015 01  78107.
 2015 02  4288·
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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: Puerto Rican, Building and Grounds Cleaning and Maintenance 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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