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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 3867·
 2000 02 260·
 2000 03 1258.
 2000 04 8954·
 2000 05 8162.
 2000 06 3375.
 2000 07 9584.
 2000 08 4892·
 2000 09 5290.
 2000 10 2456·
 2000 11 4269·
 2000 12 6876.
 2001 01  370·
 2001 02  5966·
 2001 03  6661.
 2001 04  9445·
 2001 05  850·
 2001 06  4268·
 2001 07  358.
 2001 08  9499·
 2001 09  6876·
 2001 10  772.
 2001 11  1759.
 2001 12  6263.
 2002 01 960.
 2002 02 958.
 2002 03 9767.
 2002 04 1874·
 2002 05 8191.
 2002 06 30103·
 2002 07 54111.
 2002 08 6107·
 2002 09 58111.
 2002 10 7793.
 2002 11 2775.
 2002 12 9583·
 2003 01  4257·
 2003 02  8251·
 2003 03  7958·
 2003 04  7963.
 2003 05  5982·
 2003 06  068.
 2003 07  9768·
 2003 08  7882·
 2003 09  5769.
 2003 10  15107.
 2003 11  95112.
 2003 12  35103·
 2004 01 1465·
 2004 02 3257·
 2004 03 1077·
 2004 04 1956.
 2004 05 2876·
 2004 06 8292.
 2004 07 599.
 2004 08 25101.
 2004 09 2690·
 2004 10 2489·
 2004 11 6969·
 2004 12 72100·
 2005 01  5893·
 2005 02  3793.
 2005 03  1396.
 2005 04  4100·
 2005 05  9995·
 2005 06  3087·
 2005 07  7677·
 2005 08  9188.
 2005 09  5095.
 2005 10  33108·
 2005 11  2194·
 2005 12  2575·
 2006 01 3687.
 2006 02 489.
 2006 03 36122.
 2006 04 27106·
 2006 05 789.
 2006 06 2390·
 2006 07 3378.
 2006 08 40105.
 2006 09 4090·
 2006 10 9888.
 2006 11 5174.
 2006 12 3478·
 2007 01  3391.
 2007 02  5974·
 2007 03  5287.
 2007 04  386·
 2007 05  1486·
 2007 06  6589·
 2007 07  2495.
 2007 08  6693.
 2007 09  3175·
 2007 10  9677·
 2007 11  8099.
 2007 12  6783·
 2008 01 6195·
 2008 02 5974·
 2008 03 5862.
 2008 04 7588.
 2008 05 386·
 2008 06 8691·
 2008 07 2188·
 2008 08 8563.
 2008 09 8474·
 2008 10 3483·
 2008 11 5769·
 2008 12 1585.
 2009 01  5380·
 2009 02  8382·
 2009 03  7991·
 2009 04  1075·
 2009 05  8795·
 2009 06  4169.
 2009 07  2496.
 2009 08  3997.
 2009 09  8578.
 2009 10  3975.
 2009 11  5673·
 2009 12  9579·
 2010 01 7278.
 2010 02 3497.
 2010 03 62105.
 2010 04 99110.
 2010 05 0106.
 2010 06 791.
 2010 07 5583.
 2010 08 9485.
 2010 09 4384.
 2010 10 6663.
 2010 11 7461.
 2010 12 4981·
 2011 01  268·
 2011 02  4247.
 2011 03  8062·
 2011 04  5980·
 2011 05  395.
 2011 06  9199.
 2011 07  6297·
 2011 08  43111·
 2011 09  95101·
 2011 10  9589.
 2011 11  3374·
 2011 12  4470.
 2012 01 5480.
 2012 02 6192·
 2012 03 31104.
 2012 04 33102·
 2012 05 8194.
 2012 06 2090.
 2012 07 1885.
 2012 08 293·
 2012 09 192.
 2012 10 29105.
 2012 11 8397·
 2012 12 72112.
 2013 01  64101.
 2013 02  70108·
 2013 03  38105.
 2013 04  8695·
 2013 05  4694.
 2013 06  4978·
 2013 07  2282.
 2013 08  1383·
 2013 09  4796·
 2013 10  9992.


 2013 11  97103.
 2013 12  48103·
 2014 01 92102.
 2014 02 74104·
 2014 03 50117·
 2014 04 10111.
 2014 05 3296·
 2014 06 5992·
 2014 07 96108·
 2014 08 43105.
 2014 09 43121.
 2014 10 57100·
 2014 11 71111·
 2014 12 1698.
 2015 01  24107·
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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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