Majority of North Carolina Counties Still Have More Unemployed Workers than Job Openings Hyde County Pamlico County Camden County Caswell County Warren County Bladen County Ashe County Chatham County Clay County Polk County Harnett County Alleghany County Johnston County Rutherford County Currituck County Scotland County Union County Sampson County Granville County Mitchell County Wayne County Davie County Haywood County Surry County Cherokee County Craven County Henderson County Pitt County Alamance County Iredell County Orange County New Hanover County Wake County Durham County 0 1 2 3 4 Unemployed Workers Per Job Openings 5 6 7
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Coming back to our customers feedback dataset Rough Set REDUCTS have been used to identify features having the strongest impact on Promoter Benchmark All Overall Satisfaction 35 Benchmark All Likelihood to be Repeat Customer 34 Benchmark All Dealer Communication 33 Benchmark Service Repair Completed Correctly 32 Benchmark Referral Behavior 31 Benchmark Service Final Invoice Matched Expectations 31 Benchmark Ease of Contact Benchmark All Does Customer have Future Needs 30 28 Benchmark Service Tech Promised in Expected Timeframe 26 Benchmark Service Repair Completed When Promised 26 Benchmark Service Timeliness of Invoice 25 Benchmark Service Appointment Availability 24 Benchmark Service Tech Equipped to do Job 23 Benchmark All Contact Status of Future Needs 22 Benchmark Service Tech Arrived When Promised 21 Benchmark All Has Issue Been Resolved 19 Benchmark All Contact Status of Issue 17 Benchmark Service Technician Communication 6 Benchmark Service Contact Preference 3 Benchmark CB Call answered promptly 1 Benchmark Service Received Quote for Repair 1 Benchmark CB Auto attendant answered by correct department 1 Benchmark Service Call Answered Quickly 1 Benchmark All Marketing Permission 1 Randomly chosen customers are asked to complete Questionnaire. It has questions concerning personal data + 30 benchmarks To compute NPS we calculate average score of selected benchmarks for all customers. Knowing the number of promoters and detractors we know NPS.
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Rough Sets have been used to identify features having the strongest impact on Promoter Benchmark All Overall Satisfaction 35 Benchmark All Likelihood to be Repeat Customer 34 Benchmark All Dealer Communication 33 Benchmark Service Repair Completed Correctly 32 Benchmark Referral Behavior 31 Benchmark Service Final Invoice Matched Expectations 31 Benchmark Ease of Contact Benchmark All Does Customer have Future Needs 30 28 Benchmark Service Tech Promised in Expected Timeframe 26 Benchmark Service Repair Completed When Promised 26 Benchmark Service Timeliness of Invoice 25 Benchmark Service Appointment Availability 24 Benchmark Service Tech Equipped to do Job 23 Benchmark All Contact Status of Future Needs 22 Benchmark Service Tech Arrived When Promised 21 Benchmark All Has Issue Been Resolved 19 Benchmark All Contact Status of Issue 17 Benchmark Service Technician Communication 6 Benchmark Service Contact Preference 3 Benchmark CB Call answered promptly 1 Benchmark Service Received Quote for Repair 1 Benchmark CB Auto attendant answered by correct department 1 Benchmark Service Call Answered Quickly 1 Benchmark All Marketing Permission 1 Randomly chosen customers are asked to complete Questionnaire. It has questions concerning personal data + 30 benchmarks To compute NPS we calculate average score of all benchmarks for all customers. Knowing the number of promoters and detractors we know NPS.
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Federal Regulation Agencies Consumer ConsumerProduct Product Safety Commission Safety Commission http://www.cpsc.gov http://www.cpsc.gov Department Departmentof ofLabor Labor http://www.dol.gov http://www.dol.gov Environmental EnvironmentalProtection ProtectionAgency Agency http://www.epa.gov http://www.epa.gov Equal EqualEmployment Employment Opportunity OpportunityCommission Commission Federal FederalCommunications Communications Commission Commission 3.4 http://www.eeoc.gov http://www.eeoc.gov http://www.fcc.gov http://www.fcc.gov Federal FederalReserve ReserveSystem System http://www.federalreserve.gov http://www.federalreserve.gov Federal FederalTrade TradeCommission Commission http://www.ftc.gov http://www.ftc.gov Food Foodand andDrug DrugAdministration Administration http://www.fda.gov http://www.fda.gov National NationalLabor LaborRelations RelationsBoard Board http://www. http://www.nlrb.gov nlrb.gov Occupational OccupationalSafety Safetyand and Health Administration Health Administration Securities Securitiesand andExchange Exchange Commission Commission http://www.osha.gov http://www.osha.gov http://www.sec.gov http://www.sec.gov 22
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June 2010 WV GIS Conference Key Statutory Requirements of Voter Precinct Delineation – – §3-1-5. Voting precincts and places established; number of voters in precincts; precinct map; municipal map. (a) The precinct shall be the basic territorial election unit. The county commission shall divide each magisterial district of the county into election precincts, shall number the precincts, shall determine and establish the boundaries thereof, and shall designate one voting place in each precinct, which place shall be established as nearly as possible at the point most convenient for the voters of the precinct. Each magisterial district shall contain at least one voting precinct and each precinct shall have but one voting place therein. – Each precinct within any urban center shall contain not less than three hundred nor more than one thousand five hundred registered voters. Each precinct in a rural or less thickly settled area shall contain not less than two hundred nor more than seven hundred registered voters, unless upon a written finding by the county commission that establishment of or retention of a precinct of less than two hundred voters would prevent undue hardship to the voters, the secretary of state determines that such precinct be exempt from the two hundred voter minimum limit. If, at any time the number of registered voters exceeds the maximum number specified, the county commission shall rearrange the precincts within the political division so that the new precincts each contain a number of registered voters within the designated limits. If a county commission fails to rearrange the precincts as required, any qualified voter of the county may apply for a writ of mandamus to compel the performance of this duty: Provided, That when in the discretion of the county commission, there is only one place convenient to vote within the precinct and when there are more than seven hundred registered voters within the existing precinct, the county commission may designate two or more precincts with the same geographic boundaries and which have voting places located within the same building. The county commission shall designate alphabetically the voters who will be eligible to vote in each precinct so created. Each such precinct shall be operated separately and independently with separate voting booths, ballot boxes, election commissioners and clerks, and whenever possible, in separate rooms. No two of such precincts may use the same counting board. – (b) In order to facilitate the conduct of local and special elections and the use of election registration records therein, precinct boundaries shall be established to coincide with the boundaries of any municipality of the county and with the wards or other geographical districts of the municipality except in instances where found by the county commission to be wholly impracticable so to do. Governing bodies of all municipalities shall provide accurate and current maps of their boundaries to the clerk of any county commission of a county in which any portion of the municipality is located. – (c) To facilitate the federal and state redistricting process, precinct boundaries must be comprised of intersecting geographic physical features or municipal boundaries recognized by the U.S. Census Bureau. For purposes of this subsection, geographic physical features include streets, roads, streams, creeks, rivers, railroad tracks and mountain ridge lines. The county commission of every county must modify precinct boundaries to follow geographic physical features or municipal boundaries and submit changes to the West Virginia office of legislative services by June 30, 2007 and by the thirtieth day of June, every ten calendar years thereafter. The county commission must also submit precinct boundary details to the U.S. Census Bureau upon request. – The West Virginia office of legislative services shall be available for consultation with the county commission regarding the precinct modification process: Provided, That nothing in this subsection removes or limits the ultimate responsibility of the county commission to modify precinct boundaries to follow geographic physical features. – (d) The provisions of this section are subject to the provisions of section twenty-eight, article four of this chapter relating to the number of voters in precincts in which voting machines are used. – (e) The county commission shall keep available at all times during business hours in the courthouse at a place convenient for public inspection a map or maps of the county and municipalities with the current boundaries of all precincts. Source: §3-1-5 WV Code
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NIH Expedited Reporting • Requirements for reporting vary by institute Institute NCCAM: NCI: NEI: NHLBI: NIA: NIAID: NIAMS: NICHD: NIDA: NIDCR: NIDDK: NIMH: NINDS: Data and Safety Monitoring Policies http://nccam.nih.gov/research/policies/datasafety/ http://deainfo.nci.nih.gov/grantspolicies/datasafety.htm http://www.nci.nih.gov/clinical_trials/conducting/ http://www.nei.nih.gov/funding/policy/policy6.htm http://www.nhlbi.nih.gov/funding/policies/dsmb_est.htm http://rover2.nhlbi.nih.gov/funding/policies/dsm-12.htm http://rover2.nhlbi.nih.gov/funding/policies/dataqual.htm http://www.nhlbi.nih.gov/funding/policies/dsmb_othr.htm http://www.nia.nih.gov/funding/policy/humint.htm http://www.niaid.nih.gov/ncn/pdf/clinterm.pdf http://www.niams.nih.gov/rtac/clinical/dsmb3.html http://www.niams.nih.gov/rtac/funding/grants/datasafe.htm http://www.nichd.nih.gov/funding/datasafety.htm http://www.nida.nih.gov/Funding/DSMBSOP.html http://www.nidcr.nih.gov/research/ctp/data_safety_monitoring_boards.pdf http://www.niddk.nih.gov/patient/patient.htm#policy http://www.nimh.nih.gov/research/safetymonitoring.cfm http://www.ninds.nih.gov/funding/ninds_patient_safety_guidelines.htm
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Source: Senate Finance Committee Roanoke Times, November 21, 1998 STATEWIDE AVERAGE 38% Wythe County 35% Washington County 41% Smyth County 96% Salem 79% Rockbridge County Roanoke 99% Roanoke County 100% Radford 37% Pulaski County 22% Patrick County 85% Montgomery County 1% Martinsville 100% Lexington 79% Henry County Grayson County 87% Giles County 60% Gatax Franklin-County 95% Floyd County 0% Craig County 99% Covington 0% Carroll County 100% Buena Vista 80% Botetourt County 98% Btand County 40% Bedford County 100% Bath County Alleghany County Classrooms with Internet Computers Percentage of classrooms in Western Virginia that have computers connected to the internet 120% 96% 88% 79% 70% 50% 56% 36% 25% 20% 9% 0%
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Emergi ng Supervis or Plant Manager Basic Performan ce Coaching Manag er Leadership Coaching Skills Effective Development Planning Executi ve Executi ve Coachi ng Senior Leadership Team Coaching Assessments and Follow-on Coaching Leadership coaching services 1 9 Today’s leaders need to perform better, improvise and adapt faster and collaborate more effectively in complex operating environments. Leadership coaching is among the most highly impactful of all development solutions. Saudi ECC’s coaching approach begins with the end in mind: we start by understanding the outcome required by the business and then help the leader to build their capability to deliver the results required. 1 A range of high quality assessment tools 2 A portfolio of proven development solutions Professionally 3 Development Program Follow-on Coaching Coaching for Performance Improvem ent Leadership Team Development trained coaches 4 A confidential, safe environment to grow as a leader Professional coaching services Coaching skills building programs Coaching for Peak Performan ce Coaching Skills for Human Resources Professionals 2 0
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Example of benchmark questions: Benchmark All Overall Satisfaction Benchmark All Likelihood to be Repeat Customer Benchmark All Dealer Communication Benchmark Service Repair Completed Correctly Benchmark Referral Behavior Benchmark Service Final Invoice Matched Expectations Benchmark Ease of Contact Benchmark All Does Customer have Future Needs Benchmark Service Tech Promised in Expected Timeframe Benchmark Service Repair Completed When Promised Benchmark Service Timeliness of Invoice Benchmark Service Appointment Availability
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A list of the different modes of opening a file: wb+ Opens a file for both writing and reading in binary format. Overwrites the existing file if the file exists. If the file does not exist, creates a new file for reading and writing. a Opens a file for appending. The file pointer is at the end of the file if the file exists. That is, the file is in the append mode. If the file does not exist, it creates a new file for writing. ab Opens a file for appending in binary format. The file pointer is at the end of the file if the file exists. That is, the file is in the append mode. If the file does not exist, it creates a new file for writing. a+ Opens a file for both appending and reading. The file pointer is at the end of the file if the file exists. The file opens in the append mode. If the file does not exist, it creates a new file for reading and writing. ab+ Opens a file for both appending and reading in binary format. The file pointer is at the end of the file if the file exists. The file opens in the append mode. If the file does not exist, it creates a new file for reading and writing.
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June 2010 WV GIS Conference Key Statutory Requirements of Voter Precinct Delineation – – §3-1-6. Municipal voting precincts. The governing bodies of all municipalities shall, for the purpose of municipal elections, provide by ordinance for making the voting precincts in the respective municipalities coincide, as nearly as possible, to the boundaries of the voting precincts fixed by the county court for all state and county elections. – – §3-1-7. Precinct changes; procedure; precinct record. (a) Subject to the provisions and limitations of section five of this article, the county commission of any county may change the boundaries of any precinct within the county, or divide any precinct into two or more precincts, or consolidate two or more precincts into one, or change the location of any polling place whenever the public convenience may require it. – (b) No order effecting the change, division or consolidation shall be made by the county commission within ninety days prior to an election nor without giving notice at least one month before the change, division or consolidation by publication of the notice as a Class II-0 legal advertisement in compliance with the provisions of article three, chapter fifty-nine of this code. The publication area is the county in which the precinct or precincts are located. The county commission shall also, within fifteen days after the date of the order, publish the order in the manner required for publication of the notice. – (c) The county commission shall also, before the next succeeding election, cause the voters in the several precincts affected by the order to be duly registered in the proper precinct or precincts and shall mail written notification to all registered voters affected by the change. – (d) The county commission shall keep in a well-bound book, marked "election precinct record", a complete record of all their proceedings hereunder and of every order made creating a precinct or precincts or establishing a place of voting therein. The "election precinct record" shall be kept by the county commission clerk in his or her office and shall, at all reasonable hours, when not actually in use by the county commission, be open to inspection by any citizen of the county. – (e) When the county commission establishes a polling place at a location other than the location used for holding the preceding primary, general or special election in that precinct, the commission shall cause a notice to be posted on election day on the door of the previous polling place describing the location of the newly established polling place and shall mail written notification to all registered voters affected by the change. – (f) If for any reason the election cannot be held at the designated polling place in a precinct and no provision has been made by the county commission for holding the election at another place, the commissioners of election for that precinct may hold the election at the nearest place which they can secure for the purpose. They shall make known by proclamation to voters present at the time for opening the polls, and by posting a notice at or near the entrance of the first named polling place, the location at which the election will be held. The county commission shall establish another place of voting for that precinct as soon thereafter as practicable. – (g) Notwithstanding any provision herein to the contrary, in the case of an emergency, the county commission may make the precinct change no later than sixty days prior to an election in accordance with the requirements herein with the approval of the secretary of state. A change, if made however, shall not cause any voter to be moved to a different district. Source: §3-1-6 and §3-1-7 WV Code
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HDFS (Hadoop Distributed File System) is a distr file sys for commodity hdwr. Differences from other distr file sys are few but significant. HDFS is highly fault-tolerant and is designed to be deployed on low-cost hardware. HDFS provides hi thruput access to app data and is suitable for apps that have large data sets. HDFS relaxes a few POSIX requirements to enable streaming access to file system data. HDFS originally was infrastructure for Apache Nutch web search engine project, is part of Apache Hadoop Core http://hadoop.apache.org/core/ 2.1. Hardware Failure Hardware failure is the normal. An HDFS may consist of hundreds or thousands of server machines, each storing part of the file system’s data. There are many components and each component has a non-trivial prob of failure means that some component of HDFS is always non-functional. Detection of faults and quick, automatic recovery from them is core arch goal of HDFS. 2.2. Streaming Data Access Applications that run on HDFS need streaming access to their data sets. They are not general purpose applications that typically run on general purpose file systems. HDFS is designed more for batch processing rather than interactive use by users. The emphasis is on high throughput of data access rather than low latency of data access. POSIX imposes many hard requirements not needed for applications that are targeted for HDFS. POSIX semantics in a few key areas has been traded to increase data throughput rates. 2.3. Large Data Sets Apps on HDFS have large data sets, typically gigabytes to terabytes in size. Thus, HDFS is tuned to support large files. It provides high aggregate data bandwidth and scale to hundreds of nodes in a single cluster. It supports ~10 million files in a single instance. 2.4. Simple Coherency Model: HDFS apps need a write-once-read-many access model for files. A file once created, written, and closed need not be changed. This assumption simplifies data coherency issues and enables high throughput data access. A Map/Reduce application or a web crawler application fits perfectly with this model. There is a plan to support appending-writes to files in future [write once read many at file level] 2.5. “Moving Computation is Cheaper than Moving Data” A computation requested by an application is much more efficient if it is executed near the data it operates on. This is especially true when the size of the data set is huge. This minimizes network congestion and increases the overall throughput of the system. The assumption is that it is often better to migrate the computation closer to where the data is located rather than moving the data to where the app is running. HDFS provides interfaces for applications to move themselves closer to where the data is located. 2.6. Portability Across Heterogeneous Hardware and Software Platforms: HDFS has been designed to be easily portable from one platform to another. This facilitates widespread adoption of HDFS as a platform of choice for a large set of applications. 3. NameNode and DataNodes: HDFS has a master/slave architecture. An HDFS cluster consists of a single NameNode, a master server that manages the file system namespace and regulates access to files by clients. In addition, there are a number of DataNodes, usually one per node in the cluster, which manage storage attached to the nodes that they run on. HDFS exposes a file system namespace and allows user data to be stored in files. Internally, a file is 1 blocks stored in a set of DataNodes. The NameNode executes file system namespace operations like opening, closing, and renaming files and directories. It also determines the mapping of blocks to DataNodes. The DataNodes are responsible for serving read and write requests from the file system’s clients. The DataNodes also perform block creation, deletion, and replication upon instruction The NameNode and DataNode are pieces of software designed to run on commodity machines, typically run GNU/Linux operating system (OS). HDFS is built using the Java language; any machine that supports Java can run the NameNode or the DataNode software. Usage of the highly portable Java language means that HDFS can be deployed on a wide range of machines. A typical deployment has a dedicated machine that runs only the NameNode software. Each of the other machines in the cluster runs one instance of the DataNode software. The architecture does not preclude running multiple DataNodes on the same machine but in a real deployment that is rarely the case. The existence of a single NameNode in a cluster greatly simplifies the architecture of the system. The NameNode is the arbitrator and repository for all HDFS metadata. The system is designed in such a way that user data never flows through the NameNode. 4. The File System Namespace: HDFS supports a traditional hierarchical file organization. A user or an application can create directories and store files inside these directories. The file system namespace hierarchy is similar to most other existing file systems; one can create and remove files, move a file from one directory to another, or rename a file. HDFS does not yet implement user quotas or access permissions. HDFS does not support hard links or soft links. However, the HDFS architecture does not preclude implementing these features. The NameNode maintains the file system namespace. Any change to the file system namespace or its properties is recorded by the NameNode. An application can specify the number of replicas of a file that should be maintained by HDFS. The number of copies of a file is called the replication factor of that file. This info is stored by NameNode. 5. Data Replication: HDFS is designed to reliably store very large files across machines in a large cluster. It stores each file as a sequence of blocks; all blocks in a file except the last block are the same size. The blocks of a file are replicated for fault tolerance. The block size and replication factor are configurable per file. An application can specify the number of replicas of a file. The replication factor can be specified at file creation time and can be changed later. Files in HDFS are write-once and have strictly one writer at any time. The NameNode makes all decisions regarding replication of blocks. It periodically receives a Heartbeat and a Blockreport from each of the DataNodes in the cluster. Receipt of a Heartbeat implies that the DataNode is functioning properly. A Blockreport contains a list of all blocks on a DataNode
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SOURCES Ashoka. (2016). Innovation Mapping, Challenges, Bootcamps. In Changemakers. Retrieved February 26, 2017, from https://www.changemakers.com/changemakers-products#courses . Ashoka. (2016). What You Can Do Here. In Changemakers. Retrieved February 26, 2017, from https://www.changemakers.com/what-you-can-do-here . Ashoka. (2016). Partner With Us. In Changemakers. Retrieved February 26, 2017, from https://www.changemakers.com/about/partner . Cell Phone Recycling Market Research Report (2015, April). In IBISWorld. Retrieved February 26, 2017, from https://www.ibisworld.com/industry/cell-phone-recycling.html . Chang, A. (2014, December 16). T-Mobile announces Data Stash, allowing unused data to roll over. Los Angeles Times, p. 1. Retrieved from http://www.latimes.com/business/technology/la-fi-tn-t-mobile-data-stash-rollover-20141216-story.html . CiviCore. (2017). Corporate Mentoring Software: MentorCore Workplace-Features. In CiviCore. Retrieved February 27, 2017, from http://www.civicore.com/systems/mentoring-software/corporate/ . Crouch, B. (2015, May 22). How Will Generation Z Disrupt the Workplace?. In Fortune. Retrieved February 26, 2017, from http://fortune.com/2015/05/22/generation-z-in-the-workplace/ . EveryoneOn. Become an Enrollment Partner (2016). In EveryoneOn. Retrieved February 26, 2017, from http://everyoneon.org/enrollment-partner/. EveryoneOn. (2017). Become A Partner. In EveryoneOn. Retrieved February 27, 2017, from http://everyoneon.org/become-a-partner/ . Garringer, Michael, et al. (2015). Elements of Effective Practice or Mentoring . In The National Mentor Partnership. Retrieved February 27, 2017, from http://www.mentoring.org/new-site/wp-content/uploads/2016/01/Final_Elements_Publication_Fourth.pdf . Genesys. (2016, February). Genesys Works-SaleForce Partnership Update. In Genesys Works.. Retrieved February 27, 2017, from http://www.genesysworks.org/media/1540/salesforce-overview_new-logo.pdf Genysys Works. (2015). Investing in Youth. Inspiring Change. In 2015 Annual Report. Retrieved February 27, 2017, from http://www.genesysworks.org/media/1213/2015-genesys-works-national-annual-report_final.pdf . Office of Juvenile Justice and Delinquency Prevention. (n.d.). Sow A Seed Community Foundation Receives Training and Support through NMRC. In National Mentoring Resource Center. Retrieved February 27, 2017, from http://www.nationalmentoringresourcecenter.org/index.php/training-ta/ta-spotlights.html?layout=edit&id=218 . Schwabel, D. (2014, July 17). 66 Of The Most Interesting Facts About Generation Z. In DanSchwabel.com. Retrieved February 27, 2017, from http://danschawbel.com/blog/39-of-the-most-interesting-facts-about-generation-z/ . Singh, A. (2014, July). Challenges and Issues of Generation Z. IOSR Journal of Business and Management, 16(7), 59-63. Retrieved from http://www.iosrjournals.org/iosr-jbm/papers/Vol16-issue7/Version-1/H016715963.pdf . Solem, K. (2017, February 15). T-Mobile’s Next Generation Investment Strategy. In T-Mobile. Retrieved February 27, 2017, from http://www.tacoma.uw.edu/sites/default/files/sections/CenterforLeadershipandSocialResponsibility/2017MICCSR_UW_Milgard_T-Mobile_Overview.pdf . The National Mentoring Partnership. (2017). About MentorCore. In Mentor Program Managing Software. Retrieved February 27, 2017, from http://www.mentoring.org/program-resources/mentorcore-program-management-software/ . TM Predictions 2016. (n.d.). Used smartphones: the $17 billion market you may never have heard of. In Deloitte.. Retrieved February 27, 2017, from https://www2.deloitte.com/lb/en/pages/technology-media-and-telecommunications/articles/tmt-pred16-telecomm-used-smartphones-17-billion-market.html . T-Mobile US, Inc. (2017, February 14). In T-Mobile US, Inc. Form 10-K For the Year Ended December 31, 2016. Retrieved February 27, 2017, from http://www.snl.com/Cache/c38030540.html . Turner, Y. (2015, March). The Civic 50: Best Practices in Corporate Community Engagement. Giving Thoughts, 3-7. Retrieved from https://www.conference-board.org/retrievefile.cfm?filename=TCB-GT-V1N9-Best_Practices_CorpCommunityEngmnt1.pdf&type=subsite .
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Barron’s Annual Round Table: An Example (4/4) • Over 25 days: 4.56% (analyst’s recommendation) vs. 4.23% (for benchmark.). 52% of the 1599 stocks beat their benchmark. • Over 1 year: 12.13% vs. 11.93%, and 51% beat the benchmark. • Over 2 years: 26.31% vs. 26.69%, and 49.4% beat the benchmark. • Over 3 years: 39.99% vs. 40.70%, and 49.3% beat the benchmark. • But in the 2-week period between the roundtable meeting and the publication date: 1.36% vs. 0.33, and 60% beat the benchmark!
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County Per Capita Income New York County (Manhattan) Westchester County Nassau County Putnam County Rockland County Suffolk County Saratoga County Jefferson County Herkimer County Cattaraugus County Franklin County $42,922 $36,726 $32,151 $30,127 $28,082 $26,577 $23,945 $16,202 $16,141 $15,959 $15,888 St. Lawrence County Allegany County Lewis County $15,728 $14,975 $14,971 Bronx County (The Bronx) $13,959
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