The document reports results from a survey of 9,110 participants between November 2011 and April 2012 about life satisfaction, happiness, and emotional experiences. Key results include:
- Most participants reported high levels of life satisfaction and happiness, rating their satisfaction between 7-10 on a 10-point scale.
- Participants reported feeling positive emotions like happiness more often than negative ones like sadness or fear. They reported feeling positive more than half the time and negative less than half the time.
The 2012 research What Works Where in B2B Digital Marketing brings together the views of nearly 100 senior B2B marketers and compares what they think works with the view of the people they are targeting –224 buyers in business and professional services, financial services, engineering and manufacturing and technology and telecoms.
Whilst overall there are many indications that marketers are getting it right, some surprising results have emerged in terms of what really makes the difference between success and failure. In particular the divide between buyer and marketer on social and mobile is wider than we might have thought.
2012 State of the Vending Industry Report - Automatic Merchandiser - June / J...Steven Duque
The road to recovery has been slow in the recession, for both automatic merchandising and the multiple industries it serves. Fiscal 2011 saw trends from the previous year continue, as the vending industry slowly recovers from the massive fallout of the Great Recession. In 2011, industry sales declined for the fourth consecutive year, although at a progressively slower rate. The 1.5 percentage point sales decline in 2011 was half the rate posted in 2010, indicating vending operators made progress in
stemming the downward trend.
The 2012 research What Works Where in B2B Digital Marketing brings together the views of nearly 100 senior B2B marketers and compares what they think works with the view of the people they are targeting –224 buyers in business and professional services, financial services, engineering and manufacturing and technology and telecoms.
Whilst overall there are many indications that marketers are getting it right, some surprising results have emerged in terms of what really makes the difference between success and failure. In particular the divide between buyer and marketer on social and mobile is wider than we might have thought.
2012 State of the Vending Industry Report - Automatic Merchandiser - June / J...Steven Duque
The road to recovery has been slow in the recession, for both automatic merchandising and the multiple industries it serves. Fiscal 2011 saw trends from the previous year continue, as the vending industry slowly recovers from the massive fallout of the Great Recession. In 2011, industry sales declined for the fourth consecutive year, although at a progressively slower rate. The 1.5 percentage point sales decline in 2011 was half the rate posted in 2010, indicating vending operators made progress in
stemming the downward trend.
Symantec’s 2010 Global SMB Information Protection Survey found that small and midsized businesses (SMBs with 10 to 499 employees) are now making protecting their information their highest IT priority, as opposed to 15 months ago when a high percentage had failed to enact even the most basic safeguards. This shift makes sense as SMBs are facing increased threats from cyber attacks, lost devices and loss of confidential or proprietary data.
The baby boomer (50 Plus) population in Asia Pacific will grow by over 33% in the coming 10 years. They're wealthy and they're wired.
This presentation features unique insights from Silver Group (www.silvergroup.asia) and internet usage data from ComScore.
The Chamber knows how important it is to have the business community involved in the revision of the Town’s comprehensive plan.
The Chamber has worked to solicit member input by facilitating:
* Four focus groups including downtown businesses, small business, major enterprise and community leaders (60 participants
* Two meetings of the Chamber’s Public Policy and Economic Development Committee (40 participants)
* A real-time texting survey of Chamber annual meeting attendees after a presentation by Mrs. Waldorf (170 responses)
* A mailed and electronically distributed survey to the Chamber membership (115 participants)
* Chamber volunteer and staff participation in a host of Chapel Hill 2020 meetings and workshops
Google Automotive provides this data and presentation to automotive marketing professionals.
The ADM Professional Community is a living example of the compelling value proposition for online communities that serve the automotive industry. ADM serves as proof that the impact of Social Media on the automotive vertical is more significant than widely understood. Be sure to visit the ADM Professional Community at http://www.AutomotiveDigitalMarketing.com or the acronym URL at http://www.ADMPC.com or the Twitter URL at http://ADM.fm today, and don't just be a Lurker... Join!
A global consumer survey on mobile security by Juniper Networks with KRC Research and Synovate. The survey was conducted online in October 2010, with more than 6,000 self-identified smartphone and tablet users from a pool of 16,000 consumers across 16 countries, including the United States, Canada, Brazil, UK, France, Germany, Italy, Netherlands, Belgium, Russia, China, India, Australia, Hong Kong, Singapore and Japan.
Symantec’s 2010 Global SMB Information Protection Survey found that small and midsized businesses (SMBs with 10 to 499 employees) are now making protecting their information their highest IT priority, as opposed to 15 months ago when a high percentage had failed to enact even the most basic safeguards. This shift makes sense as SMBs are facing increased threats from cyber attacks, lost devices and loss of confidential or proprietary data.
The baby boomer (50 Plus) population in Asia Pacific will grow by over 33% in the coming 10 years. They're wealthy and they're wired.
This presentation features unique insights from Silver Group (www.silvergroup.asia) and internet usage data from ComScore.
The Chamber knows how important it is to have the business community involved in the revision of the Town’s comprehensive plan.
The Chamber has worked to solicit member input by facilitating:
* Four focus groups including downtown businesses, small business, major enterprise and community leaders (60 participants
* Two meetings of the Chamber’s Public Policy and Economic Development Committee (40 participants)
* A real-time texting survey of Chamber annual meeting attendees after a presentation by Mrs. Waldorf (170 responses)
* A mailed and electronically distributed survey to the Chamber membership (115 participants)
* Chamber volunteer and staff participation in a host of Chapel Hill 2020 meetings and workshops
Google Automotive provides this data and presentation to automotive marketing professionals.
The ADM Professional Community is a living example of the compelling value proposition for online communities that serve the automotive industry. ADM serves as proof that the impact of Social Media on the automotive vertical is more significant than widely understood. Be sure to visit the ADM Professional Community at http://www.AutomotiveDigitalMarketing.com or the acronym URL at http://www.ADMPC.com or the Twitter URL at http://ADM.fm today, and don't just be a Lurker... Join!
A global consumer survey on mobile security by Juniper Networks with KRC Research and Synovate. The survey was conducted online in October 2010, with more than 6,000 self-identified smartphone and tablet users from a pool of 16,000 consumers across 16 countries, including the United States, Canada, Brazil, UK, France, Germany, Italy, Netherlands, Belgium, Russia, China, India, Australia, Hong Kong, Singapore and Japan.
Science tells us good relationships are key to happiness and so is a strong sense of community. Start right next to home by making friends with your neighbors to increase your happiness and the happiness of those around you.
First published in 2014 as part of a peer reviewed essay Happiness in Public Policy (http://scholarworks.waldenu.edu/jsc/vol6/iss1/5/) The policy-screening tool provides 26 factors in the domains of happiness. Policies or projects are rated by the factors that are relevant. Not all factors in the tool will necessarily be relevant. Decision-makers choose which factors to use. Decision-makers may develop other factors not included in the tool. Origins
Kunzang Lhamu, Chief Research Officer of the GNH Commission in Bhutan, worked with the Happiness Alliance, a small nonprofit based in the US to create a hybrid happiness policy screening tool for adaptation and adaption by local governments and agencies in the United States.
We challenge you to practice gratitude every day for the next year. The research connecting gratitude practices with happiness have been established. Practicing gratitude makes you happier.
Keep a gratitude journal, post everyday on your favorite feed, or spend a little time each day in contemplation. For the next year, we challenge you to focus on one topic each month.
Bjørn Grinde, author and researcher, speaks about the links between quality of life, the human brain and intentional communities. During this webinar, he explains what intentional communities are, how he came to research them, and why they are of interest to him for research purposes. He will discuss the trial and joys of conducting research projects with intentional communities, and his findings about quality of life and the human brain, as well as directions for future research.
Slides for the ISQOLS webinar featuring John C. Havens, author of Heartificial Intelligence, and presenter at the ISQOLS 2017 conference, and Executive Director of The IEEE Global Initiative for Ethical Considerations in Artificial Intelligence and Autonomous Systems.
The algorithms powering autonomous systems and Artificial Intelligence are driving the future of society. Imbued within our cars, companion robots and smart cities, we are becoming a culture of code. The risks and benefits regarding these technologies are largely evaluated through the lens of GDP-focused, exponential growth.
But when robots and algorithms diminish individual agency by making decisions on our behalf, when the liability of their actions becomes too complex to assess or when Artificial Intelligence (AI) and robotics are transforming our jobs, we must question if this will increase or decrease our well-being. Humans can’t thrive unless metrics prioritizing positive mental and emotional health are elevated as key indicators of a flourishing society.
Heartificial Intelligence - the Intersection of Emerging Technology Beyond GDP features John C. Havens, Executive Director of The IEEE Global Initiative for Ethical Considerations in Artificial Intelligence and Autonomous Systems who will describe initial efforts to introduce Beyond GDP metrics into the AI community in an effort to prioritize human wellbeing for the creation and proliferation of these technologies. The goal of The IEEE Global Initiative's work is to invite cross-disciplinary research between technologists, engineers, and the Wellbeing / Happiness community to advance AI and robotics in a way that redefines innovation with a focus on flourishing versus exponential growth.
Pathways to happiness are tools for policy makers seeking the secure the right to the pursuit of happiness. This tool addresses the aspect of satisfaction with work that is due to a sense of being paid appropriately. Other policies to address other areas can be found at http://www.happycounts.org/happiness-policies.html
Pathways to happiness are tools for policy makers seeking the secure the right to the pursuit of happiness. This tool addresses the aspect of satisfaction with work that is due to a sense of productivity. Other policies to address other areas can be found at http://www.happycounts.org/happiness-policies.html
Pathways to happiness are tools for policy makers seeking the secure the right to the pursuit of happiness. This tool addresses the aspect of satisfaction with work that is due to a sense of autonomy. Other policies to address other areas can be found at http://www.happycounts.org/happiness-policies.html
Pathways to happiness are tools for policy makers seeking the secure the right to the pursuit of happiness. This tool addresses the aspect of health that due to energy level. Other policies to address other areas can be found at http://www.happycounts.org/happiness-policies.html
Path to Happiness for are tools for Policy Makers seeking to increase satisfaction life. This tool focuses on sense of satisfaction with quality of exercise. More tools can be found at http://www.happycounts.org/happiness-policies.html
Pathways to Happiness are tools for city and town governments seeking to secure people's right to the pursuit of happiness. The complete set of tools can be found at http://www.happycounts.org/happiness-policies.html Happiness Policies are policies, programs and projects to increase happiness and well-being in the domains of happiness. Each area has its own unique circumstances. The policies in Pathways To Happiness are suggestions and starting points for policy makers seeking to secure people's inalienable right to the pursuit of happiness.
Pathways to Happiness are policies governments can undertake to increase wellbeing by reduce a sense of stress about personal finances. This is part of a series that together include many ways to secure the right to pursue happiness, available at http://www.happycounts.org/happiness-policies.html
More from The Happiness Alliance - home of the Happiness Index (20)
Epistemic Interaction - tuning interfaces to provide information for AI supportAlan Dix
Paper presented at SYNERGY workshop at AVI 2024, Genoa, Italy. 3rd June 2024
https://alandix.com/academic/papers/synergy2024-epistemic/
As machine learning integrates deeper into human-computer interactions, the concept of epistemic interaction emerges, aiming to refine these interactions to enhance system adaptability. This approach encourages minor, intentional adjustments in user behaviour to enrich the data available for system learning. This paper introduces epistemic interaction within the context of human-system communication, illustrating how deliberate interaction design can improve system understanding and adaptation. Through concrete examples, we demonstrate the potential of epistemic interaction to significantly advance human-computer interaction by leveraging intuitive human communication strategies to inform system design and functionality, offering a novel pathway for enriching user-system engagements.
Neuro-symbolic is not enough, we need neuro-*semantic*Frank van Harmelen
Neuro-symbolic (NeSy) AI is on the rise. However, simply machine learning on just any symbolic structure is not sufficient to really harvest the gains of NeSy. These will only be gained when the symbolic structures have an actual semantics. I give an operational definition of semantics as “predictable inference”.
All of this illustrated with link prediction over knowledge graphs, but the argument is general.
The Art of the Pitch: WordPress Relationships and SalesLaura Byrne
Clients don’t know what they don’t know. What web solutions are right for them? How does WordPress come into the picture? How do you make sure you understand scope and timeline? What do you do if sometime changes?
All these questions and more will be explored as we talk about matching clients’ needs with what your agency offers without pulling teeth or pulling your hair out. Practical tips, and strategies for successful relationship building that leads to closing the deal.
Smart TV Buyer Insights Survey 2024 by 91mobiles.pdf91mobiles
91mobiles recently conducted a Smart TV Buyer Insights Survey in which we asked over 3,000 respondents about the TV they own, aspects they look at on a new TV, and their TV buying preferences.
Generating a custom Ruby SDK for your web service or Rails API using Smithyg2nightmarescribd
Have you ever wanted a Ruby client API to communicate with your web service? Smithy is a protocol-agnostic language for defining services and SDKs. Smithy Ruby is an implementation of Smithy that generates a Ruby SDK using a Smithy model. In this talk, we will explore Smithy and Smithy Ruby to learn how to generate custom feature-rich SDKs that can communicate with any web service, such as a Rails JSON API.
Software Delivery At the Speed of AI: Inflectra Invests In AI-Powered QualityInflectra
In this insightful webinar, Inflectra explores how artificial intelligence (AI) is transforming software development and testing. Discover how AI-powered tools are revolutionizing every stage of the software development lifecycle (SDLC), from design and prototyping to testing, deployment, and monitoring.
Learn about:
• The Future of Testing: How AI is shifting testing towards verification, analysis, and higher-level skills, while reducing repetitive tasks.
• Test Automation: How AI-powered test case generation, optimization, and self-healing tests are making testing more efficient and effective.
• Visual Testing: Explore the emerging capabilities of AI in visual testing and how it's set to revolutionize UI verification.
• Inflectra's AI Solutions: See demonstrations of Inflectra's cutting-edge AI tools like the ChatGPT plugin and Azure Open AI platform, designed to streamline your testing process.
Whether you're a developer, tester, or QA professional, this webinar will give you valuable insights into how AI is shaping the future of software delivery.
Kubernetes & AI - Beauty and the Beast !?! @KCD Istanbul 2024Tobias Schneck
As AI technology is pushing into IT I was wondering myself, as an “infrastructure container kubernetes guy”, how get this fancy AI technology get managed from an infrastructure operational view? Is it possible to apply our lovely cloud native principals as well? What benefit’s both technologies could bring to each other?
Let me take this questions and provide you a short journey through existing deployment models and use cases for AI software. On practical examples, we discuss what cloud/on-premise strategy we may need for applying it to our own infrastructure to get it to work from an enterprise perspective. I want to give an overview about infrastructure requirements and technologies, what could be beneficial or limiting your AI use cases in an enterprise environment. An interactive Demo will give you some insides, what approaches I got already working for real.
UiPath Test Automation using UiPath Test Suite series, part 4DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 4. In this session, we will cover Test Manager overview along with SAP heatmap.
The UiPath Test Manager overview with SAP heatmap webinar offers a concise yet comprehensive exploration of the role of a Test Manager within SAP environments, coupled with the utilization of heatmaps for effective testing strategies.
Participants will gain insights into the responsibilities, challenges, and best practices associated with test management in SAP projects. Additionally, the webinar delves into the significance of heatmaps as a visual aid for identifying testing priorities, areas of risk, and resource allocation within SAP landscapes. Through this session, attendees can expect to enhance their understanding of test management principles while learning practical approaches to optimize testing processes in SAP environments using heatmap visualization techniques
What will you get from this session?
1. Insights into SAP testing best practices
2. Heatmap utilization for testing
3. Optimization of testing processes
4. Demo
Topics covered:
Execution from the test manager
Orchestrator execution result
Defect reporting
SAP heatmap example with demo
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Transcript: Selling digital books in 2024: Insights from industry leaders - T...BookNet Canada
The publishing industry has been selling digital audiobooks and ebooks for over a decade and has found its groove. What’s changed? What has stayed the same? Where do we go from here? Join a group of leading sales peers from across the industry for a conversation about the lessons learned since the popularization of digital books, best practices, digital book supply chain management, and more.
Link to video recording: https://bnctechforum.ca/sessions/selling-digital-books-in-2024-insights-from-industry-leaders/
Presented by BookNet Canada on May 28, 2024, with support from the Department of Canadian Heritage.
JMeter webinar - integration with InfluxDB and GrafanaRTTS
Watch this recorded webinar about real-time monitoring of application performance. See how to integrate Apache JMeter, the open-source leader in performance testing, with InfluxDB, the open-source time-series database, and Grafana, the open-source analytics and visualization application.
In this webinar, we will review the benefits of leveraging InfluxDB and Grafana when executing load tests and demonstrate how these tools are used to visualize performance metrics.
Length: 30 minutes
Session Overview
-------------------------------------------
During this webinar, we will cover the following topics while demonstrating the integrations of JMeter, InfluxDB and Grafana:
- What out-of-the-box solutions are available for real-time monitoring JMeter tests?
- What are the benefits of integrating InfluxDB and Grafana into the load testing stack?
- Which features are provided by Grafana?
- Demonstration of InfluxDB and Grafana using a practice web application
To view the webinar recording, go to:
https://www.rttsweb.com/jmeter-integration-webinar
GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using Deplo...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
7. Feeling
Posi*ve
0%
3%
Very
Rarely
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Never
20%
23%
Rarely
Some*mes
Oen
Very
Oen
or
Always
54%
Very
Rarely
or
Very
OPen
Grand
Never
Rarely
Some#mes
OPen
or
Always
Total
Count
of
q1s2b1
0%
3%
23%
54%
20%
100%
www.happycounts.org
8. Feeling
Nega*ve
2%
6%
20%
24%
Very
Rarely
or
Never
Rarely
Some*mes
Oen
Very
Oen
or
Always
48%
Very
Rarely
or
Very
OPen
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Grand
Never
Rarely
Some#mes
OPen
Always
Total
Count
of
q2s2b1
6%
24%
48%
20%
2%
100%
www.happycounts.org
9. Feeling
Good
0%
3%
21%
23%
Very
Rarely
or
Never
Rarely
Some*mes
Oen
Very
Oen
or
Always
53%
Very
Rarely
or
Very
OPen
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Never
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Some#mes
OPen
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Always
Total
Count
of
q3s2b1
0%
3%
23%
53%
21%
100%
www.happycounts.org
10. Feeling
Bad
1%
12%
13%
Very
Rarely
or
Never
Rarely
Some*mes
Oen
35%
Very
Oen
or
Always
39%
Very
Rarely
or
Very
OPen
Grand
Never
Rarely
Some#mes
OPen
or
Always
Total
Count
of
q4s2b1
13%
35%
39%
12%
1%
100%
www.happycounts.org
11. Feeling
Pleasant
1%
4%
20%
25%
Very
Rarely
or
Never
Rarely
Some*mes
Oen
Very
Oen
or
Always
51%
Very
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Never
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Total
Count
of
q5s2b1
1%
4%
25%
51%
20%
100%
www.happycounts.org
12. Feeling
Unpleasant
1%
11%
15%
Very
Rarely
or
Never
Rarely
Some*mes
37%
36%
Oen
Very
Oen
or
Always
Very
Rarely
or
Very
OPen
Grand
Never
Rarely
Some#mes
OPen
or
Always
Total
Count
of
q6s2b1
15%
36%
37%
11%
1%
100%
www.happycounts.org
13. Feeling
Happy
1%
5%
19%
25%
Very
Rarely
or
Never
Rarely
Some*mes
Oen
Very
Oen
or
Always
49%
Very
Rarely
or
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OPen
Grand
Never
Rarely
Some#mes
OPen
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Always
Total
Count
of
q7s2b1
1%
5%
25%
49%
19%
100%
www.happycounts.org
14. Feeling
Sad
2%
13%
15%
Very
Rarely
or
Never
Rarely
Some*mes
Oen
31%
Very
Oen
or
Always
38%
Very
Rarely
or
Very
OPen
Grand
Never
Rarely
Some#mes
OPen
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Always
Total
Count
of
q8s2b1
15%
31%
38%
13%
2%
100%
www.happycounts.org
15. Feeling
Afraid
2%
8%
33%
Very
Rarely
or
Never
23%
Rarely
Some*mes
Oen
Very
Oen
or
Always
34%
Very
Rarely
or
Very
OPen
Grand
Never
Rarely
Some#mes
OPen
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Always
Total
Count
of
q9s2b1
33%
34%
22%
8%
2%
100%
www.happycounts.org
16. Feeling
Joyful
3%
10%
13%
Very
Rarely
or
Never
Rarely
Some*mes
Oen
39%
Very
Oen
or
Always
34%
Very
Rarely
or
Very
OPen
Grand
Never
Rarely
Some#mes
OPen
or
Always
Total
Count
of
q10s2b1
3%
13%
34%
39%
10%
100%
www.happycounts.org
17. Feeling
Angry
2%
10%
17%
Very
Rarely
or
Never
Rarely
Some*mes
Oen
36%
Very
Oen
or
Always
35%
Very
Rarely
or
Very
OPen
Grand
Never
Rarely
Some#mes
OPen
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Total
Count
of
q11s2b1
17%
35%
36%
10%
2%
100%
www.happycounts.org
18. Feeling
Contented
3%
10%
19%
Very
Rarely
or
Never
Rarely
Some*mes
31%
Oen
Very
Oen
or
Always
38%
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or
Very
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Grand
Never
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Some#mes
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or
Always
Total
Count
of
q12s2b1
3%
10%
31%
38%
19%
100%
www.happycounts.org
20. Sa*sfac*on
with
Mental
Well
Being
1%
Extremely
dissa*sfied
7%
2%
7%
Very
dissa*sfied
8%
Dissa*sfied
26%
3%
Slightly
dissa*sfied
Neither
sa*sfied
nor
16%
dissa*sfied
Slightly
sa*sfied
Sa*sfied
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sa*sfied
31%
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sa*sfied
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dissa#sfied
Dissa#sfied
dissa#sfied
dissa#sfied
sa#sfied
Sa#sfied
sa#sfied
sa#sfied
Total
Count
of
q1s3b1
1%
2%
7%
8%
3%
16%
31%
26%
7%
100%
www.happycounts.org
21. Sa*sfac*on
with
Physical
Health
1%
Extremely
dissa*sfied
4%
4%
14%
11%
Very
dissa*sfied
Dissa*sfied
Slightly
dissa*sfied
16%
Neither
sa*sfied
nor
dissa*sfied
27%
Slightly
sa*sfied
5%
Sa*sfied
19%
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sa*sfied
Extremely
sa*sfied
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dissa#sfied
dissa#sfied
Dissa#sfied
dissa#sfied
dissa#sfied
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Sa#sfied
sa#sfied
sa#sfied
Total
Count
of
q2s3b1
1%
4%
11%
16%
5%
19%
27%
14%
4%
100%
www.happycounts.org
22. Sa*sfac*on
with
Leisure
Time
1%
Extremely
dissa*sfied
5%
4%
Very
dissa*sfied
10%
14%
Dissa*sfied
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dissa*sfied
15%
Neither
sa*sfied
nor
dissa*sfied
26%
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sa*sfied
6%
Sa*sfied
19%
Very
sa*sfied
Extremely
sa*sfied
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sa#sfied
nor
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Extremely
Grand
dissa#sfied
dissa#sfied
Dissa#sfied
dissa#sfied
dissa#sfied
sa#sfied
Sa#sfied
sa#sfied
sa#sfied
Total
Count
of
q3s3b1
1%
4%
10%
15%
6%
19%
26%
14%
5%
100%
www.happycounts.org
23. Sa*sfac*on
with
Sense
of
Community
Belonging
2%
Extremely
dissa*sfied
4%
4%
9%
Very
dissa*sfied
14%
Dissa*sfied
11%
Slightly
dissa*sfied
Neither
sa*sfied
nor
dissa*sfied
26%
Slightly
sa*sfied
13%
Sa*sfied
17%
Very
sa*sfied
Extremely
sa*sfied
Neither
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Very
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sa#sfied
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Very
Extremely
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dissa#sfied
dissa#sfied
Dissa#sfied
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dissa#sfied
sa#sfied
Sa#sfied
sa#sfied
sa#sfied
Total
Count
of
q4s3b1
2%
4%
9%
11%
13%
17%
26%
14%
4%
100%
www.happycounts.org
24. Sa*sfac*on
with
Personal
Rela*onships
1%
Extremely
dissa*sfied
2%
10%
6%
Very
dissa*sfied
8%
Dissa*sfied
23%
6%
Slightly
dissa*sfied
Neither
sa*sfied
nor
dissa*sfied
Slightly
sa*sfied
16%
Sa*sfied
Very
sa*sfied
27%
Extremely
sa*sfied
Neither
Extremely
Very
Slightly
sa#sfied
nor
Slightly
Very
Extremely
Grand
dissa#sfied
dissa#sfied
Dissa#sfied
dissa#sfied
dissa#sfied
sa#sfied
Sa#sfied
sa#sfied
sa#sfied
Total
Count
of
q5s3b1
1%
2%
6%
8%
6%
16%
27%
23%
10%
100%
www.happycounts.org
25. Sa*sfac*on
with
Access
to
Educa*onal
Opportuni*es
1%
1%
Extremely
dissa*sfied
3%
15%
4%
Very
dissa*sfied
11%
Dissa*sfied
Slightly
dissa*sfied
10%
Neither
sa*sfied
nor
26%
dissa*sfied
Slightly
sa*sfied
Sa*sfied
30%
Very
sa*sfied
Extremely
sa*sfied
Neither
Extremely
Very
Slightly
sa#sfied
nor
Slightly
Very
Extremely
Grand
dissa#sfied
dissa#sfied
Dissa#sfied
dissa#sfied
dissa#sfied
sa#sfied
Sa#sfied
sa#sfied
sa#sfied
Total
Count
of
q6s3b1
1%
1%
3%
4%
11%
10%
30%
26%
15%
100%
www.happycounts.org
26. Sa*sfac*on
with
Access
to
Arts
and
Culture
1%
1%
Extremely
dissa*sfied
11%
4%
5%
Very
dissa*sfied
Dissa*sfied
13%
Slightly
dissa*sfied
21%
Neither
sa*sfied
nor
dissa*sfied
13%
Slightly
sa*sfied
Sa*sfied
30%
Very
sa*sfied
Extremely
sa*sfied
Neither
Extremely
Very
Slightly
sa#sfied
nor
Slightly
Very
Extremely
Grand
dissa#sfied
dissa#sfied
Dissa#sfied
dissa#sfied
dissa#sfied
sa#sfied
Sa#sfied
sa#sfied
sa#sfied
Total
Count
of
q7s3b1
1%
1%
4%
5%
13%
13%
30%
21%
11%
100%
www.happycounts.org
27. Sa*sfac*on
with
Environmental
Quality
of
Neighborhood
1%
1%
Extremely
dissa*sfied
3%
15%
5%
Very
dissa*sfied
6%
Dissa*sfied
Slightly
dissa*sfied
11%
Neither
sa*sfied
nor
dissa*sfied
27%
Slightly
sa*sfied
Sa*sfied
30%
Very
sa*sfied
Extremely
sa*sfied
Neither
sa#sfied
Extremely
Very
Slightly
nor
Slightly
Very
Extremely
Grand
dissa#sfied
dissa#sfied
Dissa#sfied
dissa#sfied
dissa#sfied
sa#sfied
Sa#sfied
sa#sfied
sa#sfied
Total
Count
of
q8s3b1
1%
1%
3%
5%
6%
11%
30%
27%
15%
100%
www.happycounts.org
28. Sa*sfac*on
with
Neighborhood
as
a
Place
to
Live
1%
1%
Extremely
dissa*sfied
3%
16%
5%
Very
dissa*sfied
6%
Dissa*sfied
11%
Slightly
dissa*sfied
Neither
sa*sfied
nor
dissa*sfied
27%
Slightly
sa*sfied
Sa*sfied
31%
Very
sa*sfied
Extremely
sa*sfied
Neither
Extremely
Very
Slightly
sa#sfied
nor
Slightly
Very
Extremely
Grand
dissa#sfied
dissa#sfied
Dissa#sfied
dissa#sfied
dissa#sfied
sa#sfied
Sa#sfied
sa#sfied
sa#sfied
Total
Count
of
q9s3b1
1%
1%
3%
5%
6%
11%
31%
27%
16%
100%
www.happycounts.org
29. Sa*sfac*on
with
Honesty
and
Transparency
of
Local
Government
Extremely
dissa*sfied
2%
3%
7%
4%
8%
Very
dissa*sfied
Dissa*sfied
23%
11%
Slightly
dissa*sfied
Neither
sa*sfied
nor
dissa*sfied
Slightly
sa*sfied
Sa*sfied
14%
27%
Very
sa*sfied
Extremely
sa*sfied
Neither
Extremely
Very
Slightly
sa#sfied
nor
Slightly
Very
Extremely
Grand
dissa#sfied
dissa#sfied
Dissa#sfied
dissa#sfied
dissa#sfied
sa#sfied
Sa#sfied
sa#sfied
sa#sfied
Total
Count
of
q10s3b1
3%
4%
8%
11%
27%
14%
23%
7%
2%
100%
www.happycounts.org
30. Sa*sfac*on
with
Financial
Situa*on
Extremely
dissa*sfied
5%
5%
7%
Very
dissa*sfied
12%
Dissa*sfied
12%
Slightly
dissa*sfied
Neither
sa*sfied
nor
dissa*sfied
24%
14%
Slightly
sa*sfied
Sa*sfied
6%
Very
sa*sfied
15%
Extremely
sa*sfied
Neither
sa#sfied
Extremely
Very
Slightly
nor
Slightly
Very
Extremely
Grand
dissa#sfied
dissa#sfied
Dissa#sfied
dissa#sfied
dissa#sfied
sa#sfied
Sa#sfied
sa#sfied
sa#sfied
Total
Count
of
q11s3b1
5%
7%
12%
14%
6%
15%
24%
12%
5%
100%
www.happycounts.org
31. Sa*sfac*on
with
Work
Situa*on
Extremely
dissa*sfied
7%
4%
5%
Very
dissa*sfied
9%
15%
Dissa*sfied
Slightly
dissa*sfied
11%
Neither
sa*sfied
nor
dissa*sfied
Slightly
sa*sfied
23%
12%
Sa*sfied
14%
Very
sa*sfied
Extremely
sa*sfied
Neither
sa#sfied
Extremely
Very
Slightly
nor
Slightly
Very
Extremely
Grand
dissa#sfied
dissa#sfied
Dissa#sfied
dissa#sfied
dissa#sfied
sa#sfied
Sa#sfied
sa#sfied
sa#sfied
Total
Count
of
q12s3b1
4%
5%
9%
11%
12%
14%
23%
15%
7%
100%
www.happycounts.org
33. Leading
a
Purposeful
and
Meaningful
Life
2%
8%
28%
16%
Strongly
disagree
Disagree
Neither
agree
nor
disagree
Agree
Strongly
agree
46%
Neither
Strongly
agree
nor
Strongly
Grand
disagree
Disagree
disagree
Agree
agree
Total
Count
of
q1s4b1
2%
8%
16%
46%
28%
100%
www.happycounts.org
34. Engaged
and
Interested
in
Daily
Ac*vi*es
1%
8%
23%
15%
Strongly
disagree
Disagree
Neither
agree
nor
disagree
Agree
Strongly
agree
53%
Neither
Strongly
agree
nor
Strongly
Grand
disagree
Disagree
disagree
Agree
agree
Total
Count
of
q2s4b1
1%
8%
15%
53%
23%
100%
www.happycounts.org
35. Op*mis*c
About
One’s
Future
2%
8%
32%
14%
Strongly
disagree
Disagree
Neither
agree
nor
disagree
Agree
Strongly
agree
44%
Neither
Strongly
agree
nor
Strongly
Grand
disagree
Disagree
disagree
Agree
agree
Total
Count
of
q3s4b1
2%
8%
14%
44%
32%
100%
www.happycounts.org
36. Feeling
a
Sense
of
Accomplishment
on
Most
Days
2%
17%
14%
Strongly
disagree
Disagree
19%
Neither
agree
nor
disagree
Agree
Strongly
agree
47%
Neither
Strongly
agree
nor
Strongly
Grand
disagree
Disagree
disagree
Agree
agree
Total
Count
of
q4s4b1
2%
14%
19%
47%
17%
100%
www.happycounts.org
37. Feeling
Very
Posi*ve
About
Oneself
in
General
2%
11%
22%
Strongly
disagree
16%
Disagree
Neither
agree
nor
disagree
Agree
Strongly
agree
48%
Neither
Strongly
agree
nor
Strongly
Grand
disagree
Disagree
disagree
Agree
agree
Total
Count
of
q5s4b1
2%
11%
16%
48%
22%
100%
www.happycounts.org
39. Self-‐Assessment
of
Health
3%
15%
12%
Poor
Fair
Good
Very
good
Excellent
33%
37%
Grand
Poor
Fair
Good
Very
good
Excellent
Total
Count
of
q1s5b1
3%
12%
33%
37%
15%
100%
www.happycounts.org
40. Had
a
lot
of
Energy
in
the
past
week
9%
3%
14%
Very
Rarely
or
Never
Rarely
Some*mes
37%
Oen
Very
Oen
or
Always
37%
Very
Rarely
or
Very
OPen
Grand
Never
Rarely
Some#mes
OPen
or
Always
Total
Count
of
q2s5b2
3%
14%
37%
37%
9%
100%
www.happycounts.org
41. Could
not
get
going
in
the
past
week
2%
18%
12%
Very
Oen
or
Always
Oen
Some*mes
Rarely
Very
Rarely
or
Never
36%
32%
Very
OPen
or
Very
Rarely
Grand
Always
OPen
Some#mes
Rarely
or
Never
Total
Count
of
q3s5b2
2%
12%
36%
32%
18%
100%
www.happycounts.org
42. Physical
pain
prevented
from
doing
what
is
needed
to
be
done
in
the
past
week
1%
4%
15%
Very
Oen
or
Always
Oen
Some*mes
56%
Rarely
Very
Rarely
or
Never
24%
Very
OPen
or
Very
Rarely
Grand
Always
OPen
Some#mes
Rarely
or
Never
Total
Count
of
q4s5b2
1%
4%
15%
24%
56%
100%
www.happycounts.org
43. Sa*sfac*on
with
ability
to
perform
daily
living
ac*vi*es
7%
14%
Very
dissa*sfied
Dissa*sfied
27%
Neither
sa*sfied
nor
dissa*sfied
Sa*sfied
31%
Very
sa*sfied
20%
Neither
Very
sa#sfied
nor
Very
Grand
dissa#sfied
Dissa#sfied
dissa#sfied
Sa#sfied
sa#sfied
Total
Count
of
q3s5b3
7%
27%
20%
31%
14%
100%
www.happycounts.org
44. Sa*sfac*on
with
quality
of
exercise
1%
7%
11%
Very
dissa*sfied
32%
Dissa*sfied
Neither
sa*sfied
nor
dissa*sfied
Sa*sfied
Very
sa*sfied
50%
Neither
Very
sa#sfied
nor
Very
Grand
dissa#sfied
Dissa#sfied
dissa#sfied
Sa#sfied
sa#sfied
Total
Count
of
q5s5b3
1%
7%
11%
50%
32%
100%
www.happycounts.org
46. How
much
*me
are
you
able
to
spend
doing
the
kinds
of
things
that
you
enjoy
1%
2%
20%
30%
None
of
my
*me
Not
much
of
my
*me
Some
of
my
*me
Most
of
my
*me
All
of
my
*me
47%
None
of
my
Not
much
of
Some
of
my
Most
of
my
All
of
my
Grand
#me
my
#me
#me
#me
#me
Total
Count
of
q1s6b1
1%
20%
47%
30%
2%
100%
www.happycounts.org
47. I
seldom
have
*me
to
do
the
things
I
really
enjoy
6%
11%
23%
Strongly
agree
Agree
Neither
agree
nor
disagree
Disagree
39%
Strongly
disagree
21%
Neither
Strongly
agree
nor
Strongly
agree
Agree
disagree
Disagree
disagree
Grand
Total
Count
of
q2s6b1
6%
23%
21%
39%
11%
100%
www.happycounts.org
48. My
life
has
been
too
rushed
5%
10%
26%
Strongly
disagree
Disagree
Neither
agree
nor
disagree
37%
Agree
Strongly
agree
22%
Neither
Strongly
agree
nor
Strongly
Grand
disagree
Disagree
disagree
Agree
agree
Total
Count
of
q3s6b2
10%
37%
22%
26%
5%
100%
www.happycounts.org
49. I
have
been
able
to
take
life
at
a
leisurely
pace
5%
8%
27%
Strongly
disagree
Disagree
Neither
agree
nor
disagree
36%
Agree
Strongly
agree
23%
www.happycounts.org
50. I
have
had
enough
*me
to
do
what
I
needed
to
do
6%
6%
Strongly
disagree
29%
Disagree
39%
Neither
agree
nor
disagree
Agree
Strongly
agree
19%
www.happycounts.org
51. I
have
had
plenty
of
spare
*me
6%
17%
21%
Strongly
disagree
Disagree
Neither
agree
nor
disagree
Agree
Strongly
agree
36%
20%
www.happycounts.org
53. Trust
in
Neighbors
9%
9%
21%
Trust
none
of
them
Trust
a
few
of
them
Trust
some
of
them
39%
Trust
most
of
them
Trust
all
of
them
23%
www.happycounts.org
54. Trust
in
Strangers
that
you
encounter
1%
13%
30%
Trust
none
of
them
Trust
a
few
of
them
24%
Trust
some
of
them
Trust
most
of
them
Trust
all
of
them
33%
www.happycounts.org
55. Trust
in
Businesses
in
your
community
3%
3%
13%
Trust
none
of
them
Trust
a
few
of
them
Trust
some
of
them
Trust
most
of
them
53%
29%
Trust
all
of
them
www.happycounts.org
56. Imagine
that
you
lost
a
wallet
or
purse
that
contained
two
hundred
dollars.
Please
indicate
how
likely
you
think
it
would
be
to
have
all
of
your
money
returned
to
you
if
it
was
found
by
someone
who
lives
close
by:
11%
16%
Not
at
all
likely
21%
Somewhat
likely
Fairly
likely
Very
likely
27%
Extremely
likely
26%
www.happycounts.org
57. Sa*sfac*on
with
personal
safety
in
your
city
or
town
1%
6%
25%
16%
Very
dissa*sfied
Dissa*sfied
Neither
sa*sfied
nor
dissa*sfied
Sa*sfied
Very
sa*sfied
53%
www.happycounts.org
58. Frequency
of
dona*ng
money
to
a
charity
13%
24%
At
least
once
a
month
At
least
once
every
three
months
22%
At
least
once
every
six
months
Once
in
the
last
year
Never
19%
22%
www.happycounts.org
59. Frequency
of
volunteering
*me
to
an
organiza*on
15%
33%
At
least
once
a
month
At
least
once
every
three
months
19%
At
least
once
every
six
months
Once
in
the
last
year
Never
15%
17%
www.happycounts.org
61. Sa*sfac*on
with
support
from
friends
2%
9%
27%
Very
dissa*sfied
16%
Dissa*sfied
Neither
sa*sfied
nor
dissa*sfied
Sa*sfied
Very
sa*sfied
47%
www.happycounts.org
62. Sa*sfac*on
with
personal
rela*onships
3%
12%
26%
Very
dissa*sfied
Dissa*sfied
15%
Neither
sa*sfied
nor
dissa*sfied
Sa*sfied
Very
sa*sfied
44%
www.happycounts.org
63. People
in
my
life
care
about
me
0%
2%
7%
Strongly
disagree
46%
Disagree
Neither
agree
nor
disagree
Agree
Strongly
agree
44%
www.happycounts.org
64. Felt
lonely
during
the
past
week
5%
12%
27%
Very
Rarely
or
Never
Rarely
Some*mes
Oen
Very
Oen
or
Always
28%
27%
www.happycounts.org