The document provides data highlights from the 2011 Census of India regarding housing, household amenities, and assets in Kerala. Some key findings include:
- The total number of census houses in Kerala increased 19.9% to 1,12,17,853 houses between 2001-2011. 89.4% of houses were occupied.
- The predominant materials used for house construction were concrete (48% of roofs), tiles (38.3% of roofs), and burnt brick and stone (86.6% of walls), showing improvements in housing quality over time.
- The gap between the number of households (77.2 lakhs) and available housing stock (77 lakhs) narrowed between
Census of India 2011-Houses, Household Amenities And Assets Data 2011 - Visua...AbhijitDas359978
This document summarizes key findings from India's 2011 Census regarding housing and household amenities. Some key findings presented include:
- Over 30 crore houses were counted, with 23.6 crore being residential.
- 37.1% of households had one room, while 14.5% had three rooms.
- 53.1% of houses were reported as being in "good" condition.
- 87% of households use tap, tube well, or hand pump for drinking water.
- 67% of households have access to electricity, while 31% use kerosene for lighting.
- 58% of households have a bathing facility, while 51% have drainage connectivity.
This document summarizes key findings from the 2011 Census of India regarding household amenities and assets in Kerala. It finds that in Kerala, 91.3% of households use tap water or wells as their main drinking water source, with 77.7% having access within their premises. The main source of lighting for 94.4% of households is electricity. It also provides district-level breakdowns on sources of drinking water and lighting.
This document summarizes key findings from the 2011 Indian Census regarding housing, household amenities, and assets in Kerala, India. Some of the main results presented include:
- 74.2% of households in Kerala availed banking services, an increase from 51.1% in 2001.
- 76.8% of households possessed a television, up from 38.8% in 2001. Ownership of radios/transistors declined to 29.7% from 59.2% over the same period.
- Mobile phone ownership increased dramatically to 78.1% of households from 19.1% in 2001. Landline telephone access also rose but to a lesser extent, reaching 89.7% in 2011.
A Slum, for the purpose of Census, has been defined as residential areas where dwellings are unfit for human habitation by reasons of dilapidation, overcrowding, faulty arrangements and design of such buildings, narrowness or faulty arrangement of street, lack of ventilation, light, or sanitation facilities or any combination of these factors which are detrimental to the safety and health.
This document provides an overview of housing stock, amenities, and assets in slums according to the 2011 Indian Census. Some key findings include:
- 63% of statutory towns reported slums, with a total of over 1.08 lakh slum blocks nationwide.
- Slum households made up 17.4% of total urban households in India. States with the highest proportion of slum households include Andhra Pradesh, Chhattisgarh, and Madhya Pradesh.
- Common housing characteristics in slums included lack of exclusive rooms, smaller household sizes, lower home ownership, and use of non-permanent building materials.
- Infrastructure and amenities were generally lacking in slums, with many households
Rajasthan housing shortage and conditions rural vs urbanSandeep Kumar
This document compares rural and urban housing statistics in Rajasthan, India using data from the 2011 Census. Some key findings:
- 75% of census houses in rural areas are occupied compared to 58% in urban areas. Rural houses are more likely to be in livable or dilapidated condition while urban houses are more likely to be in good condition.
- 76% of occupied rural houses are used solely for residence compared to 72% of urban houses. Urban houses are more likely to be used for shops, offices, or other non-residential purposes.
- Rural houses predominantly use thatch, mud, or stone for walls, roofs, and floors. Urban houses use more durable materials like
World population day and migration july 11, 2018 lakshmikuttyLakshmikutty P
Matej Gaspar of Yugoslavia was designated the world's 5 billionth person in July 1989, though this was arbitrary as no one knows the exact date population reached 5 billion. The UN chose Zagreb as the location as the UN Secretary-General was visiting there. World Population Day was established on July 11th to raise awareness of population issues. The 2018 theme was "Family Planning is a Human Right" marking the 50th anniversary of its recognition as a basic human right. Family planning allows people to freely determine the number and spacing of children and is a key factor in empowering women.
World population reached 7.5 billion in 2017 and is projected to continue growing, though more slowly, reaching 8 billion by 2025 and possibly 11 billion by 2100. The annual growth rate peaked in the 1960s at 2% but has since declined to about 1.1% currently. India has the second largest population in the world at over 1.2 billion according to the 2011 census, and its population is projected to surpass China's in the coming decades.
Census of India 2011-Houses, Household Amenities And Assets Data 2011 - Visua...AbhijitDas359978
This document summarizes key findings from India's 2011 Census regarding housing and household amenities. Some key findings presented include:
- Over 30 crore houses were counted, with 23.6 crore being residential.
- 37.1% of households had one room, while 14.5% had three rooms.
- 53.1% of houses were reported as being in "good" condition.
- 87% of households use tap, tube well, or hand pump for drinking water.
- 67% of households have access to electricity, while 31% use kerosene for lighting.
- 58% of households have a bathing facility, while 51% have drainage connectivity.
This document summarizes key findings from the 2011 Census of India regarding household amenities and assets in Kerala. It finds that in Kerala, 91.3% of households use tap water or wells as their main drinking water source, with 77.7% having access within their premises. The main source of lighting for 94.4% of households is electricity. It also provides district-level breakdowns on sources of drinking water and lighting.
This document summarizes key findings from the 2011 Indian Census regarding housing, household amenities, and assets in Kerala, India. Some of the main results presented include:
- 74.2% of households in Kerala availed banking services, an increase from 51.1% in 2001.
- 76.8% of households possessed a television, up from 38.8% in 2001. Ownership of radios/transistors declined to 29.7% from 59.2% over the same period.
- Mobile phone ownership increased dramatically to 78.1% of households from 19.1% in 2001. Landline telephone access also rose but to a lesser extent, reaching 89.7% in 2011.
A Slum, for the purpose of Census, has been defined as residential areas where dwellings are unfit for human habitation by reasons of dilapidation, overcrowding, faulty arrangements and design of such buildings, narrowness or faulty arrangement of street, lack of ventilation, light, or sanitation facilities or any combination of these factors which are detrimental to the safety and health.
This document provides an overview of housing stock, amenities, and assets in slums according to the 2011 Indian Census. Some key findings include:
- 63% of statutory towns reported slums, with a total of over 1.08 lakh slum blocks nationwide.
- Slum households made up 17.4% of total urban households in India. States with the highest proportion of slum households include Andhra Pradesh, Chhattisgarh, and Madhya Pradesh.
- Common housing characteristics in slums included lack of exclusive rooms, smaller household sizes, lower home ownership, and use of non-permanent building materials.
- Infrastructure and amenities were generally lacking in slums, with many households
Rajasthan housing shortage and conditions rural vs urbanSandeep Kumar
This document compares rural and urban housing statistics in Rajasthan, India using data from the 2011 Census. Some key findings:
- 75% of census houses in rural areas are occupied compared to 58% in urban areas. Rural houses are more likely to be in livable or dilapidated condition while urban houses are more likely to be in good condition.
- 76% of occupied rural houses are used solely for residence compared to 72% of urban houses. Urban houses are more likely to be used for shops, offices, or other non-residential purposes.
- Rural houses predominantly use thatch, mud, or stone for walls, roofs, and floors. Urban houses use more durable materials like
World population day and migration july 11, 2018 lakshmikuttyLakshmikutty P
Matej Gaspar of Yugoslavia was designated the world's 5 billionth person in July 1989, though this was arbitrary as no one knows the exact date population reached 5 billion. The UN chose Zagreb as the location as the UN Secretary-General was visiting there. World Population Day was established on July 11th to raise awareness of population issues. The 2018 theme was "Family Planning is a Human Right" marking the 50th anniversary of its recognition as a basic human right. Family planning allows people to freely determine the number and spacing of children and is a key factor in empowering women.
World population reached 7.5 billion in 2017 and is projected to continue growing, though more slowly, reaching 8 billion by 2025 and possibly 11 billion by 2100. The annual growth rate peaked in the 1960s at 2% but has since declined to about 1.1% currently. India has the second largest population in the world at over 1.2 billion according to the 2011 census, and its population is projected to surpass China's in the coming decades.
This presentation by Thibault Schrepel, Associate Professor of Law at Vrije Universiteit Amsterdam University, was made during the discussion “Artificial Intelligence, Data and Competition” held at the 143rd meeting of the OECD Competition Committee on 12 June 2024. More papers and presentations on the topic can be found at oe.cd/aicomp.
This presentation was uploaded with the author’s consent.
Carrer goals.pptx and their importance in real lifeartemacademy2
Career goals serve as a roadmap for individuals, guiding them toward achieving long-term professional aspirations and personal fulfillment. Establishing clear career goals enables professionals to focus their efforts on developing specific skills, gaining relevant experience, and making strategic decisions that align with their desired career trajectory. By setting both short-term and long-term objectives, individuals can systematically track their progress, make necessary adjustments, and stay motivated. Short-term goals often include acquiring new qualifications, mastering particular competencies, or securing a specific role, while long-term goals might encompass reaching executive positions, becoming industry experts, or launching entrepreneurial ventures.
Moreover, having well-defined career goals fosters a sense of purpose and direction, enhancing job satisfaction and overall productivity. It encourages continuous learning and adaptation, as professionals remain attuned to industry trends and evolving job market demands. Career goals also facilitate better time management and resource allocation, as individuals prioritize tasks and opportunities that advance their professional growth. In addition, articulating career goals can aid in networking and mentorship, as it allows individuals to communicate their aspirations clearly to potential mentors, colleagues, and employers, thereby opening doors to valuable guidance and support. Ultimately, career goals are integral to personal and professional development, driving individuals toward sustained success and fulfillment in their chosen fields.
This presentation by Juraj Čorba, Chair of OECD Working Party on Artificial Intelligence Governance (AIGO), was made during the discussion “Artificial Intelligence, Data and Competition” held at the 143rd meeting of the OECD Competition Committee on 12 June 2024. More papers and presentations on the topic can be found at oe.cd/aicomp.
This presentation was uploaded with the author’s consent.
This presentation by OECD, OECD Secretariat, was made during the discussion “Artificial Intelligence, Data and Competition” held at the 143rd meeting of the OECD Competition Committee on 12 June 2024. More papers and presentations on the topic can be found at oe.cd/aicomp.
This presentation was uploaded with the author’s consent.
This presentation by OECD, OECD Secretariat, was made during the discussion “Pro-competitive Industrial Policy” held at the 143rd meeting of the OECD Competition Committee on 12 June 2024. More papers and presentations on the topic can be found at oe.cd/pcip.
This presentation was uploaded with the author’s consent.
This presentation by OECD, OECD Secretariat, was made during the discussion “Competition and Regulation in Professions and Occupations” held at the 77th meeting of the OECD Working Party No. 2 on Competition and Regulation on 10 June 2024. More papers and presentations on the topic can be found at oe.cd/crps.
This presentation was uploaded with the author’s consent.
Collapsing Narratives: Exploring Non-Linearity • a micro report by Rosie WellsRosie Wells
Insight: In a landscape where traditional narrative structures are giving way to fragmented and non-linear forms of storytelling, there lies immense potential for creativity and exploration.
'Collapsing Narratives: Exploring Non-Linearity' is a micro report from Rosie Wells.
Rosie Wells is an Arts & Cultural Strategist uniquely positioned at the intersection of grassroots and mainstream storytelling.
Their work is focused on developing meaningful and lasting connections that can drive social change.
Please download this presentation to enjoy the hyperlinks!
This presentation by Nathaniel Lane, Associate Professor in Economics at Oxford University, was made during the discussion “Pro-competitive Industrial Policy” held at the 143rd meeting of the OECD Competition Committee on 12 June 2024. More papers and presentations on the topic can be found at oe.cd/pcip.
This presentation was uploaded with the author’s consent.
This presentation by Yong Lim, Professor of Economic Law at Seoul National University School of Law, was made during the discussion “Artificial Intelligence, Data and Competition” held at the 143rd meeting of the OECD Competition Committee on 12 June 2024. More papers and presentations on the topic can be found at oe.cd/aicomp.
This presentation was uploaded with the author’s consent.
Suzanne Lagerweij - Influence Without Power - Why Empathy is Your Best Friend...Suzanne Lagerweij
This is a workshop about communication and collaboration. We will experience how we can analyze the reasons for resistance to change (exercise 1) and practice how to improve our conversation style and be more in control and effective in the way we communicate (exercise 2).
This session will use Dave Gray’s Empathy Mapping, Argyris’ Ladder of Inference and The Four Rs from Agile Conversations (Squirrel and Fredrick).
Abstract:
Let’s talk about powerful conversations! We all know how to lead a constructive conversation, right? Then why is it so difficult to have those conversations with people at work, especially those in powerful positions that show resistance to change?
Learning to control and direct conversations takes understanding and practice.
We can combine our innate empathy with our analytical skills to gain a deeper understanding of complex situations at work. Join this session to learn how to prepare for difficult conversations and how to improve our agile conversations in order to be more influential without power. We will use Dave Gray’s Empathy Mapping, Argyris’ Ladder of Inference and The Four Rs from Agile Conversations (Squirrel and Fredrick).
In the session you will experience how preparing and reflecting on your conversation can help you be more influential at work. You will learn how to communicate more effectively with the people needed to achieve positive change. You will leave with a self-revised version of a difficult conversation and a practical model to use when you get back to work.
Come learn more on how to become a real influencer!
This presentation by Professor Alex Robson, Deputy Chair of Australia’s Productivity Commission, was made during the discussion “Competition and Regulation in Professions and Occupations” held at the 77th meeting of the OECD Working Party No. 2 on Competition and Regulation on 10 June 2024. More papers and presentations on the topic can be found at oe.cd/crps.
This presentation was uploaded with the author’s consent.
2024 State of Marketing Report – by HubspotMarius Sescu
https://www.hubspot.com/state-of-marketing
· Scaling relationships and proving ROI
· Social media is the place for search, sales, and service
· Authentic influencer partnerships fuel brand growth
· The strongest connections happen via call, click, chat, and camera.
· Time saved with AI leads to more creative work
· Seeking: A single source of truth
· TLDR; Get on social, try AI, and align your systems.
· More human marketing, powered by robots
ChatGPT is a revolutionary addition to the world since its introduction in 2022. A big shift in the sector of information gathering and processing happened because of this chatbot. What is the story of ChatGPT? How is the bot responding to prompts and generating contents? Swipe through these slides prepared by Expeed Software, a web development company regarding the development and technical intricacies of ChatGPT!
This presentation by Thibault Schrepel, Associate Professor of Law at Vrije Universiteit Amsterdam University, was made during the discussion “Artificial Intelligence, Data and Competition” held at the 143rd meeting of the OECD Competition Committee on 12 June 2024. More papers and presentations on the topic can be found at oe.cd/aicomp.
This presentation was uploaded with the author’s consent.
Carrer goals.pptx and their importance in real lifeartemacademy2
Career goals serve as a roadmap for individuals, guiding them toward achieving long-term professional aspirations and personal fulfillment. Establishing clear career goals enables professionals to focus their efforts on developing specific skills, gaining relevant experience, and making strategic decisions that align with their desired career trajectory. By setting both short-term and long-term objectives, individuals can systematically track their progress, make necessary adjustments, and stay motivated. Short-term goals often include acquiring new qualifications, mastering particular competencies, or securing a specific role, while long-term goals might encompass reaching executive positions, becoming industry experts, or launching entrepreneurial ventures.
Moreover, having well-defined career goals fosters a sense of purpose and direction, enhancing job satisfaction and overall productivity. It encourages continuous learning and adaptation, as professionals remain attuned to industry trends and evolving job market demands. Career goals also facilitate better time management and resource allocation, as individuals prioritize tasks and opportunities that advance their professional growth. In addition, articulating career goals can aid in networking and mentorship, as it allows individuals to communicate their aspirations clearly to potential mentors, colleagues, and employers, thereby opening doors to valuable guidance and support. Ultimately, career goals are integral to personal and professional development, driving individuals toward sustained success and fulfillment in their chosen fields.
This presentation by Juraj Čorba, Chair of OECD Working Party on Artificial Intelligence Governance (AIGO), was made during the discussion “Artificial Intelligence, Data and Competition” held at the 143rd meeting of the OECD Competition Committee on 12 June 2024. More papers and presentations on the topic can be found at oe.cd/aicomp.
This presentation was uploaded with the author’s consent.
This presentation by OECD, OECD Secretariat, was made during the discussion “Artificial Intelligence, Data and Competition” held at the 143rd meeting of the OECD Competition Committee on 12 June 2024. More papers and presentations on the topic can be found at oe.cd/aicomp.
This presentation was uploaded with the author’s consent.
This presentation by OECD, OECD Secretariat, was made during the discussion “Pro-competitive Industrial Policy” held at the 143rd meeting of the OECD Competition Committee on 12 June 2024. More papers and presentations on the topic can be found at oe.cd/pcip.
This presentation was uploaded with the author’s consent.
This presentation by OECD, OECD Secretariat, was made during the discussion “Competition and Regulation in Professions and Occupations” held at the 77th meeting of the OECD Working Party No. 2 on Competition and Regulation on 10 June 2024. More papers and presentations on the topic can be found at oe.cd/crps.
This presentation was uploaded with the author’s consent.
Collapsing Narratives: Exploring Non-Linearity • a micro report by Rosie WellsRosie Wells
Insight: In a landscape where traditional narrative structures are giving way to fragmented and non-linear forms of storytelling, there lies immense potential for creativity and exploration.
'Collapsing Narratives: Exploring Non-Linearity' is a micro report from Rosie Wells.
Rosie Wells is an Arts & Cultural Strategist uniquely positioned at the intersection of grassroots and mainstream storytelling.
Their work is focused on developing meaningful and lasting connections that can drive social change.
Please download this presentation to enjoy the hyperlinks!
This presentation by Nathaniel Lane, Associate Professor in Economics at Oxford University, was made during the discussion “Pro-competitive Industrial Policy” held at the 143rd meeting of the OECD Competition Committee on 12 June 2024. More papers and presentations on the topic can be found at oe.cd/pcip.
This presentation was uploaded with the author’s consent.
This presentation by Yong Lim, Professor of Economic Law at Seoul National University School of Law, was made during the discussion “Artificial Intelligence, Data and Competition” held at the 143rd meeting of the OECD Competition Committee on 12 June 2024. More papers and presentations on the topic can be found at oe.cd/aicomp.
This presentation was uploaded with the author’s consent.
Suzanne Lagerweij - Influence Without Power - Why Empathy is Your Best Friend...Suzanne Lagerweij
This is a workshop about communication and collaboration. We will experience how we can analyze the reasons for resistance to change (exercise 1) and practice how to improve our conversation style and be more in control and effective in the way we communicate (exercise 2).
This session will use Dave Gray’s Empathy Mapping, Argyris’ Ladder of Inference and The Four Rs from Agile Conversations (Squirrel and Fredrick).
Abstract:
Let’s talk about powerful conversations! We all know how to lead a constructive conversation, right? Then why is it so difficult to have those conversations with people at work, especially those in powerful positions that show resistance to change?
Learning to control and direct conversations takes understanding and practice.
We can combine our innate empathy with our analytical skills to gain a deeper understanding of complex situations at work. Join this session to learn how to prepare for difficult conversations and how to improve our agile conversations in order to be more influential without power. We will use Dave Gray’s Empathy Mapping, Argyris’ Ladder of Inference and The Four Rs from Agile Conversations (Squirrel and Fredrick).
In the session you will experience how preparing and reflecting on your conversation can help you be more influential at work. You will learn how to communicate more effectively with the people needed to achieve positive change. You will leave with a self-revised version of a difficult conversation and a practical model to use when you get back to work.
Come learn more on how to become a real influencer!
This presentation by Professor Alex Robson, Deputy Chair of Australia’s Productivity Commission, was made during the discussion “Competition and Regulation in Professions and Occupations” held at the 77th meeting of the OECD Working Party No. 2 on Competition and Regulation on 10 June 2024. More papers and presentations on the topic can be found at oe.cd/crps.
This presentation was uploaded with the author’s consent.
2024 State of Marketing Report – by HubspotMarius Sescu
https://www.hubspot.com/state-of-marketing
· Scaling relationships and proving ROI
· Social media is the place for search, sales, and service
· Authentic influencer partnerships fuel brand growth
· The strongest connections happen via call, click, chat, and camera.
· Time saved with AI leads to more creative work
· Seeking: A single source of truth
· TLDR; Get on social, try AI, and align your systems.
· More human marketing, powered by robots
ChatGPT is a revolutionary addition to the world since its introduction in 2022. A big shift in the sector of information gathering and processing happened because of this chatbot. What is the story of ChatGPT? How is the bot responding to prompts and generating contents? Swipe through these slides prepared by Expeed Software, a web development company regarding the development and technical intricacies of ChatGPT!
Product Design Trends in 2024 | Teenage EngineeringsPixeldarts
The realm of product design is a constantly changing environment where technology and style intersect. Every year introduces fresh challenges and exciting trends that mold the future of this captivating art form. In this piece, we delve into the significant trends set to influence the look and functionality of product design in the year 2024.
How Race, Age and Gender Shape Attitudes Towards Mental HealthThinkNow
Mental health has been in the news quite a bit lately. Dozens of U.S. states are currently suing Meta for contributing to the youth mental health crisis by inserting addictive features into their products, while the U.S. Surgeon General is touring the nation to bring awareness to the growing epidemic of loneliness and isolation. The country has endured periods of low national morale, such as in the 1970s when high inflation and the energy crisis worsened public sentiment following the Vietnam War. The current mood, however, feels different. Gallup recently reported that national mental health is at an all-time low, with few bright spots to lift spirits.
To better understand how Americans are feeling and their attitudes towards mental health in general, ThinkNow conducted a nationally representative quantitative survey of 1,500 respondents and found some interesting differences among ethnic, age and gender groups.
Technology
For example, 52% agree that technology and social media have a negative impact on mental health, but when broken out by race, 61% of Whites felt technology had a negative effect, and only 48% of Hispanics thought it did.
While technology has helped us keep in touch with friends and family in faraway places, it appears to have degraded our ability to connect in person. Staying connected online is a double-edged sword since the same news feed that brings us pictures of the grandkids and fluffy kittens also feeds us news about the wars in Israel and Ukraine, the dysfunction in Washington, the latest mass shooting and the climate crisis.
Hispanics may have a built-in defense against the isolation technology breeds, owing to their large, multigenerational households, strong social support systems, and tendency to use social media to stay connected with relatives abroad.
Age and Gender
When asked how individuals rate their mental health, men rate it higher than women by 11 percentage points, and Baby Boomers rank it highest at 83%, saying it’s good or excellent vs. 57% of Gen Z saying the same.
Gen Z spends the most amount of time on social media, so the notion that social media negatively affects mental health appears to be correlated. Unfortunately, Gen Z is also the generation that’s least comfortable discussing mental health concerns with healthcare professionals. Only 40% of them state they’re comfortable discussing their issues with a professional compared to 60% of Millennials and 65% of Boomers.
Race Affects Attitudes
As seen in previous research conducted by ThinkNow, Asian Americans lag other groups when it comes to awareness of mental health issues. Twenty-four percent of Asian Americans believe that having a mental health issue is a sign of weakness compared to the 16% average for all groups. Asians are also considerably less likely to be aware of mental health services in their communities (42% vs. 55%) and most likely to seek out information on social media (51% vs. 35%).
AI Trends in Creative Operations 2024 by Artwork Flow.pdfmarketingartwork
Creative operations teams expect increased AI use in 2024. Currently, over half of tasks are not AI-enabled, but this is expected to decrease in the coming year. ChatGPT is the most popular AI tool currently. Business leaders are more actively exploring AI benefits than individual contributors. Most respondents do not believe AI will impact workforce size in 2024. However, some inhibitions still exist around AI accuracy and lack of understanding. Creatives primarily want to use AI to save time on mundane tasks and boost productivity.
Organizational culture includes values, norms, systems, symbols, language, assumptions, beliefs, and habits that influence employee behaviors and how people interpret those behaviors. It is important because culture can help or hinder a company's success. Some key aspects of Netflix's culture that help it achieve results include hiring smartly so every position has stars, focusing on attitude over just aptitude, and having a strict policy against peacocks, whiners, and jerks.
PEPSICO Presentation to CAGNY Conference Feb 2024Neil Kimberley
PepsiCo provided a safe harbor statement noting that any forward-looking statements are based on currently available information and are subject to risks and uncertainties. It also provided information on non-GAAP measures and directing readers to its website for disclosure and reconciliation. The document then discussed PepsiCo's business overview, including that it is a global beverage and convenient food company with iconic brands, $91 billion in net revenue in 2023, and nearly $14 billion in core operating profit. It operates through a divisional structure with a focus on local consumers.
Content Methodology: A Best Practices Report (Webinar)contently
This document provides an overview of content methodology best practices. It defines content methodology as establishing objectives, KPIs, and a culture of continuous learning and iteration. An effective methodology focuses on connecting with audiences, creating optimal content, and optimizing processes. It also discusses why a methodology is needed due to the competitive landscape, proliferation of channels, and opportunities for improvement. Components of an effective methodology include defining objectives and KPIs, audience analysis, identifying opportunities, and evaluating resources. The document concludes with recommendations around creating a content plan, testing and optimizing content over 90 days.
How to Prepare For a Successful Job Search for 2024Albert Qian
The document provides guidance on preparing a job search for 2024. It discusses the state of the job market, focusing on growth in AI and healthcare but also continued layoffs. It recommends figuring out what you want to do by researching interests and skills, then conducting informational interviews. The job search should involve building a personal brand on LinkedIn, actively applying to jobs, tailoring resumes and interviews, maintaining job hunting as a habit, and continuing self-improvement. Once hired, the document advises setting new goals and keeping skills and networking active in case of future opportunities.
A report by thenetworkone and Kurio.
The contributing experts and agencies are (in an alphabetical order): Sylwia Rytel, Social Media Supervisor, 180heartbeats + JUNG v MATT (PL), Sharlene Jenner, Vice President - Director of Engagement Strategy, Abelson Taylor (USA), Alex Casanovas, Digital Director, Atrevia (ES), Dora Beilin, Senior Social Strategist, Barrett Hoffher (USA), Min Seo, Campaign Director, Brand New Agency (KR), Deshé M. Gully, Associate Strategist, Day One Agency (USA), Francesca Trevisan, Strategist, Different (IT), Trevor Crossman, CX and Digital Transformation Director; Olivia Hussey, Strategic Planner; Simi Srinarula, Social Media Manager, The Hallway (AUS), James Hebbert, Managing Director, Hylink (CN / UK), Mundy Álvarez, Planning Director; Pedro Rojas, Social Media Manager; Pancho González, CCO, Inbrax (CH), Oana Oprea, Head of Digital Planning, Jam Session Agency (RO), Amy Bottrill, Social Account Director, Launch (UK), Gaby Arriaga, Founder, Leonardo1452 (MX), Shantesh S Row, Creative Director, Liwa (UAE), Rajesh Mehta, Chief Strategy Officer; Dhruv Gaur, Digital Planning Lead; Leonie Mergulhao, Account Supervisor - Social Media & PR, Medulla (IN), Aurelija Plioplytė, Head of Digital & Social, Not Perfect (LI), Daiana Khaidargaliyeva, Account Manager, Osaka Labs (UK / USA), Stefanie Söhnchen, Vice President Digital, PIABO Communications (DE), Elisabeth Winiartati, Managing Consultant, Head of Global Integrated Communications; Lydia Aprina, Account Manager, Integrated Marketing and Communications; Nita Prabowo, Account Manager, Integrated Marketing and Communications; Okhi, Web Developer, PNTR Group (ID), Kei Obusan, Insights Director; Daffi Ranandi, Insights Manager, Radarr (SG), Gautam Reghunath, Co-founder & CEO, Talented (IN), Donagh Humphreys, Head of Social and Digital Innovation, THINKHOUSE (IRE), Sarah Yim, Strategy Director, Zulu Alpha Kilo (CA).
Trends In Paid Search: Navigating The Digital Landscape In 2024Search Engine Journal
The search marketing landscape is evolving rapidly with new technologies, and professionals, like you, rely on innovative paid search strategies to meet changing demands.
It’s important that you’re ready to implement new strategies in 2024.
Check this out and learn the top trends in paid search advertising that are expected to gain traction, so you can drive higher ROI more efficiently in 2024.
You’ll learn:
- The latest trends in AI and automation, and what this means for an evolving paid search ecosystem.
- New developments in privacy and data regulation.
- Emerging ad formats that are expected to make an impact next year.
Watch Sreekant Lanka from iQuanti and Irina Klein from OneMain Financial as they dive into the future of paid search and explore the trends, strategies, and technologies that will shape the search marketing landscape.
If you’re looking to assess your paid search strategy and design an industry-aligned plan for 2024, then this webinar is for you.
5 Public speaking tips from TED - Visualized summarySpeakerHub
From their humble beginnings in 1984, TED has grown into the world’s most powerful amplifier for speakers and thought-leaders to share their ideas. They have over 2,400 filmed talks (not including the 30,000+ TEDx videos) freely available online, and have hosted over 17,500 events around the world.
With over one billion views in a year, it’s no wonder that so many speakers are looking to TED for ideas on how to share their message more effectively.
The article “5 Public-Speaking Tips TED Gives Its Speakers”, by Carmine Gallo for Forbes, gives speakers five practical ways to connect with their audience, and effectively share their ideas on stage.
Whether you are gearing up to get on a TED stage yourself, or just want to master the skills that so many of their speakers possess, these tips and quotes from Chris Anderson, the TED Talks Curator, will encourage you to make the most impactful impression on your audience.
See the full article and more summaries like this on SpeakerHub here: https://speakerhub.com/blog/5-presentation-tips-ted-gives-its-speakers
See the original article on Forbes here:
http://www.forbes.com/forbes/welcome/?toURL=http://www.forbes.com/sites/carminegallo/2016/05/06/5-public-speaking-tips-ted-gives-its-speakers/&refURL=&referrer=#5c07a8221d9b
ChatGPT and the Future of Work - Clark Boyd Clark Boyd
Everyone is in agreement that ChatGPT (and other generative AI tools) will shape the future of work. Yet there is little consensus on exactly how, when, and to what extent this technology will change our world.
Businesses that extract maximum value from ChatGPT will use it as a collaborative tool for everything from brainstorming to technical maintenance.
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2. Housing, Household Amenities and AssetsHousing, Household Amenities and Assets
- Data Highlights from Census 2011- Data Highlights from Census 2011
CENSUS AND NPR SECTION
DIRECTORATE OF CENSUS OPERATIONS,KERALA 22
3. HOUSELISTING & HOUSING CENSUS 2010-
Census 2011
Objective
Prepare an unambiguous frame for Population
Enumeration
Collect data on housing, amenities and assets
Carried out during April- May 2010
33
4. Image based
Recognition (ICR)
Manual completion of
unrecognized characters
Census 2011 ProcessCensus 2011 Process
Scanning
Database/
Tabulation
Data
Dissemination
Image validation
44
5. DATA COLLECTIONDATA COLLECTION
35 items of information collected35 items of information collected
ICR technology used for dataICR technology used for data
processingprocessing
Houselisting and HousingHouselisting and Housing
Census excluded houselessCensus excluded houseless
households.households.
The data on amenities and assets
covers normal households only and
excludes Institutional households 55
8. • Use of Census Houses
• Housing stock
• Construction material
• Number of dwelling rooms
• Household size
• Number of married couples in a
household
Coverage:
88
9. Total number of Census Houses increased 19.9% in
Kerala.
There are 1,12,17,853 Census Houses in Kerala.
Number of Occupied Census Houses is 89.4%.
Residence and Residence cum other use is 68.7%.
HOUSING - QUANTITY
99
10. Census Houses – Kerala 2011
Census Houses Total Rural Urban
Total 1,12,17,853 58,57,785 53,60,068
Occupied 1,00,28,709 52,71,787 47,56,922
Residential 76,58,685 40,66,488 35,92,197
Residential-cum-other uses 44,931 23,035 21,896
Non-residential 22,31,539 11,38,712 10,92,827
Vacant 11,89,144 5,85,998 6,03,146
Number of households 77,16,370 40,95,674 36,20,696
1010
11. Census Houses Total Rural Urban
Total 100.0 100.0 100.0
Occupied 89.4 90.0 88.7
Residential 76.4 77.1 75.5
Residential-cum-other
uses
0.4 0.4 0.5
Non-residential 22.3 21.6 23.0
Vacant 10.6 10.0 11.3
Number of households 100.0 53.1 46.9
Census Houses – Kerala 2011
Percentage share
1111
12. Census House
Total Rural Urban
Abs % Abs % Abs %
Number of census
houses
18.6 19.9 -10.3 -15.0 29.0 117.7
Occupied census houses 14.0 16.3 -11.1 -17.5 25.2 112.5
Used as residence 11.7 18.0 -8.0 -16.5 19.7 121.8
Used as residence-cum-
other use
-0.05 -9.4 -0.1 -31.9 0.06 38.8
Housing stock 11.6 17.8 -8.2 -16.6 19.8 121.0
(In lakhs)
Variation in the Number of Census
Houses – Kerala 2001 & 2011
• 18.6 lakhs Census Houses added in 2001-11
• Largest addition in Malappuram (2.9 lakhs); followed by Kozhikode (2.0
lakhs), Thrissur (1.9 lakhs)
1212
13. Use of Occupied Census Houses
Kerala : 2011
Houselist Item Absolute number
Total Rural Urban
Total number of occupied census
houses 10,028,709 5,271,787 4,756,922
Occupied Census Houses used as
Residence 7,658,685 4,066,488 3,592,197
Residence -cum- other use 44,931 23,035 21,896
Shop/ Office 964,441 422,785 541,656
School/ College etc. 75,480 40,290 35,190
Hotel/ Lodge/ Guest house etc. 52,509 20,656 31,853
Hospital/ Dispensary etc. 31,589 14,505 17,084
Factory/ Workshop/ Workshed etc. 165,901 74,043 91,858
Place of worship 105,562 62,057 43,505
Other non-residential use 836,057 504,376 331,681
No. of occupied locked census
houses 93,554 43,552 50,002
1313
14. INDIA
KERALA
Total - 33,08,35,767 (32.8%
increase)
Total – 1,12,17,853 (19.9% increase)
• Ernakulam (First) – 11,74,691
• Wayanad (Last) – 2,77,988
Vacant Census Houses – 2,46,72,968
(7.5)%)
Vacant Census Houses – 11,89,144
(10.6%)
Occupied Census Houses –
30,61,62,799 (92.5%)
Occupied Census Houses –
1,00,28,709 (89.4%)
Residence & Residence-cum-other
use –24,46,41,582 (79.9%)
Residence & Residence-cum-other
use – 77,03,616 (76.8%)
1414
Census Houses – Kerala 2011
15. INDIA KERALA
Total number of Census Houses used for Residence
and Residence-cum-other use – 24,46,41,582
Total number of Census Houses used for Residence
and Residence-cum-other use – 77,03,616
Alappuzha (First) – 5,27,394 (79.3%)
Kannur (Last) – 5,42,465 (71.3%)
Ø Good – 13,01,24,755 (53.2%) Ø Good – 51,11,677 (66.4%)
Rural – 46.0% Rural – 61.0%
Urban – 68.5% Urban – 72.4%
Kozhikode (First) – 5,01,623 (73.5%)
Idukki (Last) – 1,35,266 (48.9%)
Ø Livable – 10,14,41,740 (41.5%) Ø Livable – 21,86,850 (28.4%)
Rural – 47.5% Rural – 32.6%
Urban – 28.6% Urban – 23.7%
Idukki (First) – 1,19,481 (43.2%)
Kozhikode (Last) – 1,49,682 (21.9%)
Ø Dilapidated – 1,30,75,087 (5.3%) Ø Dilapidated – 4,05,089 (5.3%)
Rural – 6.5% Rural – 6.4%
Urban – 2.9% Urban – 3.9%
Wayanad (First) – 16,406 (8.9%) 1515
Condition of Census Houses use as Residence and Residence cum
other use (Excluding Locked/ Vacant Houses):
16. Gap between Number of Households and the
Housing Stock – Kerala 1991-2011
The gap between households and housing stock is
narrowing
53.9
53.4
66.0
65.4
77.2
77.0
0
10
20
30
40
50
60
70
80
(InLakhs)
1991 2001 2011
Census Year
Gap in Housing Stock
Households Housing Stock
1616
Census
Year
Households
(In Lakhs)
Housing
Stock (In
Lakhs)
difference(
In Lakhs)
1991 53.9 53.4 0.5
2001 66 65.4 0.6
2011 77.2 77 0.2
17. Districts
1717
GAP BETWEEN NO. OF HH AND THE HOUSING STOCK-
TOTAL 2011
Kasaragod,
415
Wayanad, 238Thiruvananthap
uram, 3,324
Thrissur, 497
Ernakulam,
334Idukki, 170
Kottayam, -232
Alappuzha, 881
Pathanamthitta,
445
Kollam, 1,342
Malappuram,
680
Palakkad,
2,616
Kozhikode,
1,300
Kannur, 744
In absolute numbers
18. Kasaragod, 234
Kannur, 299
Wayanad, 230
Kozhikode, 121
Malappuram, 351
Palakkad, 1,832
Thrissur, 201
Ernakulam, -28
Idukki, 196
Kottayam, -167
Alappuzha, 448
Pathanamthitta, 333
Kollam, 406
Thiruvananthapuram,
1,695
GAP BETWEEN NO. OF HH AND THE HOUSING STOCK-
RURAL 2011
Districts
1818
In absolute numbers
19. Kasaragod, 181
Kannur, 445
Wayanad, 8
Kozhikode, 1,179
Malappuram, 329
Palakkad, 784
Thrissur, 296
Ernakulam, 362
Idukki, -26
Kottayam, -65
Alappuzha, 433
Pathanamthitta, 112
Kollam, 936
Thiruvananthapuram, 1,629
GAP BETWEEN NO. OF HH AND THE HOUSING STOCK - URBAN 2011
Districts 1919
In absolute numbers
20. 2020
India/State/Union Territory
Census Houses used as Residence
and Residence cum other use
(Housing Stock)%to the occupied
census houses
INDIA 79.9
Andhra Pradesh 87.8
Karnataka 81.0
Lakshadweep 59.7
Kerala 76.8
Tamil Nadu 85.8
Housing Stock- India, Kerala & Neighbouring States 2011
21. • Decline in proportion of households using Grass/Thatch/Bamboo/ Wood/
Mud as material of Roof (T-7.6 %; R- 8.4 %; U -4.5 %)
• Increase in proportion of households using GI/Metal/Asbestos sheets as
a material of Roof (T- 4.7 %; R- 7.4 %; U- 2.4 %)
• Decline in proportion of households using Grass/Thatch/Bamboo/
Mud/Un burnt Brick as material of Wall (T- 15.5 %; R-15.2 %; U- 8.8 %)
• Increase in proportion of households using Burnt Brick and Stone
as a material of Wall (T- 86.6 %; R- 96.4 %; U – 9.8 %)
• Decline in proportion of households using Mud as material of floor
(T- 14.7 %; R- 14.9 %; U – 6.6 %)
HOUSING - QUALITY
Substantial improvement in Quality of Housing
2121
22. Quality of Census Houses used as Housing
Stock
Condition of Census House
Condition of census house used as residence shows
improvement with 66.3% households reported having
good conditioned census houses and 28.4% households
reporting livable census house and 5.3% having
dilapidated houses.
2222
23. Households by Material of Roof –
Kerala 2001 - 2011
Material of roof 2001 2011
Grass/ Thatch/Bamboo/Wood/
Mud, etc
10.3 2.7
Tiles 57.1 38.3
Hand made tiles NA 3.5
Machine made tiles NA 34.8
GI/ Metal/ Asbestos sheets 4.3 9.0
Concrete 26.5 48.0
Others 1.8 2.0
HHs (in %)
2323
25. Households by Material of Roof
– Kerala 2001 & 2011
Material
Rural Urban
2001 2011
Change
(pts)
2001 2011
Chang
e (pts)
Grass/Thatch/Bambo
o/Wood/Mud
11.5 3.1 -8.4 6.6 2.1 -4.5
Tiles: 59.4 43.3 -16.1 50.2 32.7 -17.5
Hand made tiles NA 3.7 - NA 3.3 -
Machine made tiles NA 39.7 - NA 29.4 -
G. I. / Metal/ Asbestos
sheets
4.8 12.2 +7.4 3.1 5.5 +2.4
Concrete 22.5 39.1 +16.6 38.2 58.0 +19.8
Others 1.8 2.3 +0.5 1.9 1.7 -0.2
HHs (in %)
2525
26. INDIA
KERALA
CONCRETE – 29.0% CONCRETE – 48.0% (6th
Position)
• Ernakulam (Highest) – 64.1%
• Idukki (Lowest) – 21.1%
TILE – 23.8% TILE – 38.3% (6th
Position)
• Palakkad (Highest) – 62.1%
• Thiruvananthapuram (Lowest) –
22.5%
2626
Material used for construction of Census House
used as housing stock.
· ROOF
27. 2727
Predominant material of roof - India, Kerala, Neighbouring States 2011
India/
State/
Union
Territory
#
Distribution of households by predominant material of roof
Grass
,
Thatc
h,
Bamb
oo,
Wood,
Mud
etc.
Plasti
c,
Polyth
ene
Tiles
Brick
Stone
/slate
G.I.,M
etal,A
sbest
os
sheet
s
Concr
ete
Any
other
materi
alTotal
Hand
made
Tiles
Machi
ne
made
Tiles
INDIA 15.1 0.6 23.8 14.5 9.3 6.6 8.6 15.9 29.1 0.4
Andhra
Pradesh
15.3 0.3 17.8 6.5 11.3 0.3 5.1 11.9 48.8 0.5
Karnata
ka
11.4 0.5 34.8 9.6 25.2 0.5 8.5 16.5 27.6 0.3
Goa 1.2 0.4 56.1 3.5 52.6 0.7 1.7 6.4 33.2 0.2
Lakshad
weep # 1.8 0.1 45.0 0.3 44.7 0.1 0.3 7.7 44.9 0.2
Kerala 2.7 0.7 38.3 3.5 34.8 0.3 0.8 9.0 48.0 0.2
Tamil
28. Households by Material of Wall
- Kerala 2001 - 2011
Material of wallMaterial of wall 20012001 20112011
Grass/ Thatch/Bamboo, etcGrass/ Thatch/Bamboo, etc 4.94.9 1.71.7
Mud/ Un-burnt bricksMud/ Un-burnt bricks 23.823.8 11.511.5
StoneStone 33.533.5 56.956.9
Packed with mortarPacked with mortar NANA
47.447.4
Not packed with mortarNot packed with mortar NANA 9.49.4
Burnt brickBurnt brick 31.631.6 24.524.5
OthersOthers 6.26.2 5.45.4
HHs (in %)
2828
30. Households by Material of Wall
– Kerala 2001 & 2011
MaterialMaterial
RuralRural UrbanUrban
20012001 20112011
ChangeChange
(%s)(%s)
20012001 20112011
ChangeChange
(%s)(%s)
Grass/Thatch/BambooGrass/Thatch/Bamboo 5.35.3 2.02.0 -3.3-3.3 3.73.7 1.31.3 -2.4-2.4
Mud/ Un-burnt bricksMud/ Un-burnt bricks 27.127.1 15.115.1 -12.0-12.0 14.014.0 7.57.5 -6.5-6.5
StoneStone 33.033.0 53.553.5 +20.5+20.5 35.035.0 60.660.6 +25.6+25.6
Packed with mortarPacked with mortar NANA 42.442.4 NANA NANA
53.253.2
NANA
Not packed withNot packed with
mortarmortar NANA
11.211.2
NANA NANA 7.47.4 NANA
Burnt brickBurnt brick 28.428.4 23.523.5 +4.9+4.9 41.441.4 25.625.6 -15.8-15.8
OthersOthers 6.26.2 5.95.9 -0.3-0.3 5.95.9 5.05.0 -0.9-0.9
HHs (in %)
3030
31. INDIA
KERALA
Stone & Burnt Brick – 61.7% Stone & Burnt Brick – 81.4%
Rural – 53.6% Rural – 77.1%
Urban – 78.5% Urban – 86.2%
STONE – Kozhikode (First) – 88.1%
Wayanad (Last) – 19.1%
BURNT BRICK
Wayanad (First) – 55.5%
Kozhikode (Last) – 1.1%
3131
Material used for construction of Census house used as
housing stock.
WALL
32. 3232
India/
State/
Union Territory
#
Distribution of households by predominant material of Wall
Grass,
Thatch,
Bamboo
etc.
Plastic,
Polythe
ne
Mud,
Unburnt
brick Wood
Stone
G.I.,Metal,
Asbestos
sheets
Burnt
brick Concrete
Any other
material
INDIA 9.0 0.3 23.7 0.7 14.1 0.6 47.5 3.5 0.6
Andhra
Pradesh
5.3 0.3 15.2 0.6 27.3 0.2 48.6 2.0 0.6
Karnataka 4.0 0.2 21.7 0.6 32.1 0.4 33.9 6.9 0.3
Lakshadweep #
1.7 0.1 0.2 0.2 45.5 0.2 51.4 0.7 0.1
Kerala 1.7 0.5 11.5 0.9 56.9 0.2 24.5 2.9 1.0
Tamil Nadu 4.2 0.1 20.8 0.2 20.1 0.2 45.3 8.6 0.5
Predominant material of Wall - India, Kerala, Neighbouring States 2011
33. Households by Material of Floor
– Kerala 2001 & 2011
Material of floorMaterial of floor 20012001 20112011
MudMud 24.424.4 9.79.7
StoneStone 0.90.9 3.73.7
CementCement 63.163.1 61.461.4
Mosaic/ Floor tilesMosaic/ Floor tiles 9.89.8 22.922.9
OthersOthers 1.81.8 2.32.3
HHs (in %)
3333
38. HOUSING - QUALITY
• Decline in proportion of households having no exclusive
room, 1 room and 2 rooms.
• Increase in proportion of households having 3 and 4
rooms (3 rooms T – 4.9 %; R – 4.9 %; U – 4.5 % & 4 rooms
T – 2.3 %; R – 2.3 %; U – 1.4 %)
• Increase in the number of households with 1 to 4 members
and decline in households with 5 and above members
• Decrease in proportion of households with 3 and 4
Married Couples (3 Married Couples T – 0.3 %; R – 0.4; U –
0.5 %& 4 Married Couples T – 0.1 %; R – 0.1 %; U – 0.2 %)
3838
39. No. of rooms 2001 2011
Total Rural Urban Total Rural Urban
No exclusive room 1.6 1.7 1.1 1.1 1.2 0.9
One room 10.9 11.6 9.1 7.3 8.1 6.3
Two rooms 26.6 27.7 23.4 25.1 26.7 23.3
Three rooms 27.3 27.1 27.9 32.2 32.0 32.4
Four rooms 18.3 17.7 20.0 20.6 20.0 21.4
Five rooms 8.3 7.9 9.6 7.9 7.2 8.6
Six rooms and above 6.9 6.2 8.9 5.8 4.8 7.0
Distribution of Households by Number of Rooms
HHs (in %)
3939
41. No. of rooms Rural Urban
2001 2011 Change 2001 2011 Change
No exclusive room 1.7 1.2 -0.5 1.1 0.9 -0.2
One room 11.6 8.1 -3.5 9.1 6.3 -2.8
Two rooms 27.7 26.7 -1.0 23.4 23.3 -0.1
Three rooms 27.1 32.0 +4.9 27.9 32.4 +4.5
Four rooms 17.7 20.0 +2.3 20.0 21.4 +1.4
Five rooms 7.9 7.2 -0.7 9.6 8.6 -1.0
Six rooms and above 6.2 4.8 -1.4 8.9 7.0 -1.9
Change in the Proportion of Households by
Number of Rooms - Kerala
HHs (in %)
4141
42. 4242
INDIA
KERALA
No exclusive room – 3.9% No exclusive room – 1.1%
One room – 37.1% One room – 7.3%
Two rooms – 31.7% Two rooms – 25.1%
Three rooms – 14.5% Three rooms – 32.2%
Four rooms – 7.4% Four rooms – 20.6%
Five rooms – 2.6% Five rooms – 7.9%
Six rooms and above – 2.8% Six rooms and above – 5.8%
Households by Number of Dwelling Rooms:
43. Households
by Number of
Rooms (%)
1.6
10.9
26.6
27.3
18.3
8.3
6.9
1.7
11.6
27.7
27.1
17.7
7.9
6.2
1.1
9.1
23.4
27.9
20
9.6
8.9
0
5
10
15
20
25
30
No exclusive
room
One room Two rooms Three rooms Fourrooms Five rooms Six rooms and
above
Total Rural Urban KERALA 2001
1.1
7.3
25.1
32.2
20.6
7.9
5.8
1.2
8.1
26.7
32
20
7.2
4.8
0.9
6.3
23.3
32.4
21.4
8.6
7
0
5
10
15
20
25
30
35
No exclusive
room
Oneroom Two rooms Three rooms Fourrooms Five rooms Six rooms and
above
Total Rural Urban
KERALA 2011
4343
45. Households by Number of Dwelling Rooms:
In 2011, the share of households having ‘no exclusive
room’ came down to 1.1% from 1.6% in 2001. Similar
trend visible in the case of ‘one room’, ‘two rooms’,
‘five rooms’ and ‘six rooms and above’. The present
data shows that the share of households occupies ‘three
rooms’ and ‘four rooms’ are 32.2% and 20.6%
respectively
4545
49. 4949
India/
State/
Union Territory #
Household size
1
member
2
members
3
members
4
members
5
members
6-8
members
9+
members
INDIA 3.7 9.7 13.6 22.7 18.8 24.9 6.6
Andhra Pradesh 5.0 13.7 17.2 30.9 17.9 13.6 1.7
Karnataka 4.0 9.6 15.4 26.2 18.9 20.7 5.2
Lakshadweep #
6.1 6.3 9.0 14.7 13.7 28.7 21.7
Kerala 3.7 10.6 17.3 30.0 18.6 16.2 3.7
Tamil Nadu 5.3 13.9 19.0 30.8 17.7 12.3 1.1
Household size- India, Kerala, Neighbouring States 2011
50. No. of marriedNo. of married
couplescouples
TotalTotal RuralRural UrbanUrban
20012001 20112011 20012001 20112011 20012001 20112011
NoneNone 12.712.7 15.015.0 13.013.0 15.215.2 11.711.7 14.814.8
11 71.071.0 68.568.5 71.071.0 68.468.4 70.970.9 68.568.5
22 13.113.1 13.813.8 13.013.0 13.913.9 13.513.5 13.613.6
33 2.62.6 2.32.3 2.52.5 2.12.1 3.13.1 2.62.6
44 0.50.5 0.40.4 0.40.4 0.30.3 0.60.6 0.40.4
5+5+ 0.10.1 0.10.1 0.10.1 0.10.1 0.20.2 0.10.1
Number of Married Couples in a Household
HHs (in %)
5050
51. 5151
INDIA
KERALA
1'= 70.1% (Highest) 1' = 68.5% (Highest)
5+' = 0.2% (Lowest) Idukki – 73.9% (Highest)
Malappuram-62.3% (Lowest)
5+' = 0.1% (Lowest)
Malappuram–0.223%(Highest)
Kottayam – 0.004% (Lowest)
Households by number of Married Couples:
52. 5252
India/
State/
Union Territory #
Households by number of married couples in the household
No married
couple
1 married
couple
2 married
couples
3 married
couples
4 married
couples
5 married
couples &
above
INDIA 11.6 70.1 14.1 3.2 0.7 0.2
Andhra Pradesh 13.4 75.8 9.5 1.1 0.1 0.0
Karnataka 13.8 70.1 12.7 2.8 0.5 0.2
Lakshadweep #
29.0 59.2 8.0 2.5 0.8 0.5
Kerala 15.0 68.5 13.8 2.3 0.4 0.1
Tamil Nadu 14.4 74.4 10.1 1.0 0.1 0.0
Number of Married Couples - India, Kerala, Neighbouring States 2011