A Discourse on Gender Disparity: A Study on Taluks of Belagavi Districtijtsrd
The modern period witnessed the increased gender disparity reflected in sex-ratio, literacy and education, employment and wage-rates and several other socio-cultural and behavioral indicators of empowerment.(Nangia, 2005) Gender equality is more than a goal in itself. It is a precondition for meeting the challenges of reducing poverty, promoting sustainable development and building good governance -Kofi Annan (Personal, Archive, Mahanta, & Nayak, 2013). The present paper examines the extent of gender disparity in Belagavi District based on literacy and sex ratio using secondary data. We found that literacy rate in study area was 76.93 % in 2001 which is increased to 82.90 % in 2011 and sex ratio in the study area was 960 in 2001 which is increased to 973 in 2011. There are wide disparities from Rural to Urban sex ratio as well as Rural to Urban literacy rate. The urban sex ratio is higher than rural sex ratio in study area. The Rural sex ratio is 970 and urban sex ratio is 979 females per thousand males in the 2011. We found that in Belagavi district, there is reduction in gender disparities from 2001 to 2011 but the reduction rate is very slow. Manjunatha N K | Dr. S M Hurakadli"A Discourse on Gender Disparity: A Study on Taluks of Belagavi District" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-1 | Issue-5 , August 2017, URL: http://www.ijtsrd.com/papers/ijtsrd2437.pdf http://www.ijtsrd.com/humanities-and-the-arts/geography/2437/a-discourse-on-gender-disparity-a-study-on-taluks-of-belagavi-district/manjunatha-n-k
Short-duration male migration and women's autonomy - evidence from rural IndiaCGIAR
This presentation was given by Itishree Pattnaik (Gujarat Institute of Development Research), as part of the Annual Scientific Conference hosted by the University of Canberra and co-sponsored by the University of Canberra, the Australian Centre for International Agricultural Research (ACIAR) and CGIAR Collaborative Platform for Gender Research. The event took place on April 2-4, 2019 in Canberra, Australia.
Read more: https://www.canberra.edu.au/research/faculty-research-centres/aisc/seeds-of-change and https://gender.cgiar.org/annual-conference-2019/
The document provides population data highlights from the 2011 census for India and the state of Kerala. Some key points:
- Kerala's population in 2011 was 33.4 million with a decadal growth rate of 4.9%, lower than the national average of 17.7%.
- Malappuram district had the highest population of 41.1 million and the highest growth rate of 13.4%.
- The sex ratio of Kerala is 1084 females per 1000 males, higher than the national average of 943. Kannur district had the highest sex ratio of 1136.
This document summarizes a study on the time-space geometries of gendered agricultural lands in the Eastern Gangetic Basin region of India, Nepal, and Bangladesh. The study finds evidence of both feminization and defeminization of agriculture across the region over time. In India, there is a trend of defeminization, with declining female work participation rates, while in Nepal and Bangladesh rates have increased. The causes appear to be complex, involving factors like education, prosperity, sectoral shifts, distress migration, mechanization, and degradation of common property resources. The quality of women's work is also changing, with declining unpaid family work and increasing casual work. Migration trends provide mixed impacts on gender relations in agriculture.
Gujarat has experienced significant inclusive growth and development under the leadership of the BJP and Narendra Modi. Key metrics such as GDP, per capita income, poverty rates, health outcomes, infrastructure development, and social indicators show substantial improvements compared to national averages. Literacy rates, access to education, and women's empowerment have also increased markedly. Overall, Gujarat has been a leader in India for economic growth that is also socially and environmentally inclusive.
This document analyzes gender inclusiveness in MGNREGA (Mahatma Gandhi National Rural Employment Guarantee Act), India's job guarantee scheme. It finds that while women's participation is high, women sometimes face higher rationing (not getting work despite seeking it) than men. The study examines differences between states and finds vulnerable groups like female-headed households generally face lower rationing. It concludes MGNREGA has been reasonably gender inclusive but states vary and vulnerable populations need more support through differentiated policies, sensitizing staff, and awareness campaigns.
This document provides an analysis of the development context in Lao PDR as it relates to gender and e-services. Some key points:
1) Lao PDR has seen strong economic growth but remains a lower-middle income country with poverty higher in rural areas. Women experience greater time poverty and domestic burdens than men.
2) Female labor force participation is high but work is often unpaid domestic or agricultural labor. Few women hold leadership positions outside of the national government.
3) Access to ICT infrastructure like internet and phones has increased but remains lower for women and in rural areas. The country aims to develop e-services but faces challenges around human resources and infrastructure.
The document analyzes the impact of India's MGNREGA program on reducing gender wage gaps in rural casual labor between 2004-2012. It finds:
1) The gender wage gap declined over this period, with female wages rising 6% relative to male wages on average, after controlling for individual characteristics.
2) However, the analysis using a triple difference matching model finds no significant impact of MGNREGA on further reducing gender wage gaps in either Phase I/II districts where it launched earlier or Phase III districts where it launched later.
3) The improvement in female wages relative to male wages over this time appears to not be caused by MGNREGA. A potential explanation is a decline in
A Discourse on Gender Disparity: A Study on Taluks of Belagavi Districtijtsrd
The modern period witnessed the increased gender disparity reflected in sex-ratio, literacy and education, employment and wage-rates and several other socio-cultural and behavioral indicators of empowerment.(Nangia, 2005) Gender equality is more than a goal in itself. It is a precondition for meeting the challenges of reducing poverty, promoting sustainable development and building good governance -Kofi Annan (Personal, Archive, Mahanta, & Nayak, 2013). The present paper examines the extent of gender disparity in Belagavi District based on literacy and sex ratio using secondary data. We found that literacy rate in study area was 76.93 % in 2001 which is increased to 82.90 % in 2011 and sex ratio in the study area was 960 in 2001 which is increased to 973 in 2011. There are wide disparities from Rural to Urban sex ratio as well as Rural to Urban literacy rate. The urban sex ratio is higher than rural sex ratio in study area. The Rural sex ratio is 970 and urban sex ratio is 979 females per thousand males in the 2011. We found that in Belagavi district, there is reduction in gender disparities from 2001 to 2011 but the reduction rate is very slow. Manjunatha N K | Dr. S M Hurakadli"A Discourse on Gender Disparity: A Study on Taluks of Belagavi District" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-1 | Issue-5 , August 2017, URL: http://www.ijtsrd.com/papers/ijtsrd2437.pdf http://www.ijtsrd.com/humanities-and-the-arts/geography/2437/a-discourse-on-gender-disparity-a-study-on-taluks-of-belagavi-district/manjunatha-n-k
Short-duration male migration and women's autonomy - evidence from rural IndiaCGIAR
This presentation was given by Itishree Pattnaik (Gujarat Institute of Development Research), as part of the Annual Scientific Conference hosted by the University of Canberra and co-sponsored by the University of Canberra, the Australian Centre for International Agricultural Research (ACIAR) and CGIAR Collaborative Platform for Gender Research. The event took place on April 2-4, 2019 in Canberra, Australia.
Read more: https://www.canberra.edu.au/research/faculty-research-centres/aisc/seeds-of-change and https://gender.cgiar.org/annual-conference-2019/
The document provides population data highlights from the 2011 census for India and the state of Kerala. Some key points:
- Kerala's population in 2011 was 33.4 million with a decadal growth rate of 4.9%, lower than the national average of 17.7%.
- Malappuram district had the highest population of 41.1 million and the highest growth rate of 13.4%.
- The sex ratio of Kerala is 1084 females per 1000 males, higher than the national average of 943. Kannur district had the highest sex ratio of 1136.
This document summarizes a study on the time-space geometries of gendered agricultural lands in the Eastern Gangetic Basin region of India, Nepal, and Bangladesh. The study finds evidence of both feminization and defeminization of agriculture across the region over time. In India, there is a trend of defeminization, with declining female work participation rates, while in Nepal and Bangladesh rates have increased. The causes appear to be complex, involving factors like education, prosperity, sectoral shifts, distress migration, mechanization, and degradation of common property resources. The quality of women's work is also changing, with declining unpaid family work and increasing casual work. Migration trends provide mixed impacts on gender relations in agriculture.
Gujarat has experienced significant inclusive growth and development under the leadership of the BJP and Narendra Modi. Key metrics such as GDP, per capita income, poverty rates, health outcomes, infrastructure development, and social indicators show substantial improvements compared to national averages. Literacy rates, access to education, and women's empowerment have also increased markedly. Overall, Gujarat has been a leader in India for economic growth that is also socially and environmentally inclusive.
This document analyzes gender inclusiveness in MGNREGA (Mahatma Gandhi National Rural Employment Guarantee Act), India's job guarantee scheme. It finds that while women's participation is high, women sometimes face higher rationing (not getting work despite seeking it) than men. The study examines differences between states and finds vulnerable groups like female-headed households generally face lower rationing. It concludes MGNREGA has been reasonably gender inclusive but states vary and vulnerable populations need more support through differentiated policies, sensitizing staff, and awareness campaigns.
This document provides an analysis of the development context in Lao PDR as it relates to gender and e-services. Some key points:
1) Lao PDR has seen strong economic growth but remains a lower-middle income country with poverty higher in rural areas. Women experience greater time poverty and domestic burdens than men.
2) Female labor force participation is high but work is often unpaid domestic or agricultural labor. Few women hold leadership positions outside of the national government.
3) Access to ICT infrastructure like internet and phones has increased but remains lower for women and in rural areas. The country aims to develop e-services but faces challenges around human resources and infrastructure.
The document analyzes the impact of India's MGNREGA program on reducing gender wage gaps in rural casual labor between 2004-2012. It finds:
1) The gender wage gap declined over this period, with female wages rising 6% relative to male wages on average, after controlling for individual characteristics.
2) However, the analysis using a triple difference matching model finds no significant impact of MGNREGA on further reducing gender wage gaps in either Phase I/II districts where it launched earlier or Phase III districts where it launched later.
3) The improvement in female wages relative to male wages over this time appears to not be caused by MGNREGA. A potential explanation is a decline in
Educational dropout is one of the major problems in India and for the whole world itself. This article presents the problem of girl’s educational dropout of Himachal Pradesh in India. The literacy rate (LR) of the state is very excellent up to 82.80%. But the discrepancy of male and female LR goes up to 13.60% and this discrepancy creates a foremost problem with the overall LR of this state. Work has been done to find out the reasons for the most minuscule LR of female as compared to male. So that some suggested measure can be taken to improve the LR of the female in Himachal Pradesh.
Literacy Level in Andhra Pradesh and Telangana States – A Statistical Studytheijes
Literacy is the most important aspect for progress of people in a country. Higher is the literacy level, more is the civilization of the race. Keeping this in view, we took up a comparative study on female literacy levels in the Andhra Pradesh & Telangana states for Urban and Rural areas separately from 1991 – 2011. The study and analysis is based on secondary data collected from the Census Office of the above states. We used the statistical tools – Shewartz Control Charts for identify Very Poor and Moderately Poor districts w.r.t., female literacy ratio. The analysis, comparisons and conclusions are presented in this paper. More specifically, we wish to state that female literacy has a direct impact on growth of a family.
Trends and Levels of Female Literacy in Belagavi Districtijtsrd
Women education plays a very important role in the overall growth of the country. It does not only help in the development of half of the human capital but also improves the standard of living. The progress of the nation or region is shown by the level of education and literacy of its population. Education, particularly among women has been considered as one of the major aspects for socio-economic development of the people of a region. Belagavi district is among the rapidly developing districts in Karnataka with respect to socio-economic and agricultural development. According to 2011 census, average literacy rate of Belagavi district (73.48%) is lower than the average literacy rate of Karnataka state (75.60%).(Office of the Registrar General and Census Commissioner, India, 2011) This can be attributed to greater regional disparities throughout Belagavi district in literacy. In this paper, we present Provisional Population Totals of census 2001 and 2011 and examine the extent of literacy disparities at the taluk level. Here, we found that literacy rate in the study area was 64.21 % in 2001 which has increased to 73.48% in 2011. We also found that the urban literacy (85.56%) is significantly greater than the rural literacy (69.28%) which is concurrent to the wider gender disparities from the rural to the urban population. Manjunatha N K | S M Hurakadli"Trends and Levels of Female Literacy in Belagavi District" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-1 | Issue-5 , August 2017, URL: http://www.ijtsrd.com/papers/ijtsrd2392.pdf http://www.ijtsrd.com/other-scientific-research-area/other/2392/trends-and-levels-of-female-literacy-in-belagavi-district/manjunatha-n-k
This document discusses various methods for classifying individuals and families based on socioeconomic status. It describes Karl Marx and Weber's theories of social stratification and then presents several scales used in both urban and rural areas of India to measure factors like education, occupation, income, assets, and place of residence. It specifically outlines Kuppuswamy's method, which assigns scores in these areas to determine an individual's or family's social class as upper, upper middle, lower middle, upper lower, or lower.
This document analyzes gender differences in literacy rates in Osmanabad district, India between 1991 and 2001 at the tahsil (sub-district) level. Some key points:
- Literacy rates have increased for both males and females in Osmanabad district since independence, but there remains a significant gender gap.
- In 1991, the male literacy rate was 65% on average compared to 35% for females. Rates were higher for rural males (66%) than urban (61%) but higher for urban females (39%) than rural (34%).
- By 2001, the gender gap had narrowed slightly with male rates around 61-62% and female rates around 38-39% on average across
International Journal of Humanities and Social Science Invention (IJHSSI)inventionjournals
International Journal of Humanities and Social Science Invention (IJHSSI) is an international journal intended for professionals and researchers in all fields of Humanities and Social Science. IJHSSI publishes research articles and reviews within the whole field Humanities and Social Science, new teaching methods, assessment, validation and the impact of new technologies and it will continue to provide information on the latest trends and developments in this ever-expanding subject. The publications of papers are selected through double peer reviewed to ensure originality, relevance, and readability. The articles published in our journal can be accessed online.
Dehradun district is located in the northern Indian state of Uttarakhand. It has a total population of over 1.6 million as of 2011, with 53% males and 47% females. Literacy rates are the highest in the state at 84%, though the sex ratio is lower than average. The district economy is driven by agriculture, with over 13% of workers being cultivators and 7% agricultural laborers. Other major employment includes the secondary and tertiary sectors. Population growth has been high, increasing by 32% between 2001-2011, with urban areas growing faster than rural areas. Chakrata block has the highest male workforce participation while Vikasnagar is the lowest.
Age and Sex Structure of Uttar Pradesh & Kerala: A comparative StudyNandlal Mishra
The document compares the age and sex structure of Uttar Pradesh and Kerala based on 2011 Census data. It finds that Kerala has higher sex ratios, lower youth dependency, and an older population compared to Uttar Pradesh. Over time, both regions showed a transition to lower fertility and mortality, though Kerala transitioned earlier and more rapidly as indicated by its older population structure in 2011.
This document summarizes official statistics presented by Muhammad Tariq Jamshaid from the Department of Statistics at the University of Sargodha. It discusses the percentage of disabled population in Pakistan using data from the 1998 census, showing totals and breakdowns by sex, type of disability, and province. It also discusses Pakistan's age dependency ratio over time, how it is measured, and how it compares to other countries. Finally, it outlines data on women's participation in Pakistan's labor force, noting it is much lower than many other countries at 27% and exploring some factors that affect this rate.
This document discusses gender roles and equality in Thailand. It provides historical background on Thailand and outlines gender roles in various areas such as social institutions, family code, physical integrity, civil liberties, ownership rights, politics, education, and the economy. While Thailand's constitution provides equal rights to men and women, traditional gender roles still exist with women making up a smaller percentage of high-paying jobs and political positions. The document aims to explain the current situation of women in Thailand and strengthen knowledge about gender studies.
This document summarizes a study on the impact of rural non-farm employment diversification on poverty reduction in India. It outlines the background, data and methodology, findings, and conclusions of the study. The study uses National Sample Survey data from 1993-1994, 2004-2005, and 2011-2012 to analyze trends in rural employment and the determinants and effects of shifting from farm to non-farm work. Regression and matching analyses find that non-farm employment has increased substantially over time and varies significantly across states and household characteristics. Non-farm work is found to reduce poverty and increase household incomes.
Dr Ellina Samantroy's presentation at UNICEF Innocenti's Inception Scoping Workshop for Evidence on Educational Strategies to Address Child Labour in India & Bangladesh, held in New Delhi in November 2019.
This document provides demographic, socio-economic, and development indicator data for the Fatehpur district of Uttar Pradesh, India compared to other districts, Uttar Pradesh state, and India overall. It includes tables of data on population density, literacy rates, health indicators, infrastructure, poverty rates, and more. The Fatehpur district generally performs worse than state and national averages on most development indicators based on the data presented.
The document is a term paper project on gender disparity in the workforce in Malda District, West Bengal. It highlights the following key points in 3 sentences:
The study analyzes gender disparity in work participation using census data from 2001 and 2011. It finds that while male work participation rates remained steady, female rates decreased, increasing the gender gap. The document also examines variations in work participation across age groups, occupational categories, and blocks within the district, consistently finding higher rates for males compared to females.
Census of India, 2011 - Provisional Population totals for KeralaJustine George
This document contains tables and information from the 2011 Census of India about the population of Kerala. It provides data on the total population, population growth rate, density, age distribution, sex ratio, literacy rates and rankings of districts in Kerala according to these demographic indicators. The key findings are that Kerala's population in 2011 was 33.3 million with a 4.86% growth rate since 2001, a high density of 859 people per square kilometer, a sex ratio of 1084 females per 1000 males, and a high overall literacy rate of 93.91%.
This document summarizes a paper that measures labor quality in India from 1983-2011. It applies the Griliches and Jorgenson method to estimate labor quality across three broad sectors (agriculture, industry, services) and various sub-sectors, gender, age, and education levels. The authors find that overall labor quality grew at over 1% annually in India, with composition effects and rising education levels as major drivers. However, agriculture, which still accounts for over half of employment, significantly lags behind other sectors in labor quality.
Spatial regression model predicting Thailand’s election โดย อาจารย์ ดร. อานน...BAINIDA
The document discusses a conference on business analytics and data science in Thailand that included several presentations and topics:
1) Using data science to predict the results of Thailand's upcoming election and factors like social, economic, geographic, and demographic variables that could influence election outcomes.
2) Building spatial regression models to predict election results based on past voting data and other metrics.
3) One presentation discussed building a spatial negative binomial regression model to predict Thailand's 2011 election results based on 2005 and 2007 election data as well as socioeconomic and demographic variables.
This document summarizes a study on the relationship between demographic factors and employees' intention to quit in Sri Lanka's Free Trade Zones. The study found that age, length of service, and family income were significant demographic factors affecting intention to quit, while marital status and education were not significant. A survey of 568 employees found that younger workers with less than 1 year of service and lower family incomes had higher intentions to quit. The study aims to help organizations better understand and address the problem of high employee turnover in these trade zones.
This document analyzes the gender gap in voting patterns in Indian states based on socio-demographic factors. It finds that women's voter turnout lags behind men's turnout in most states and elections from 1991 to 2009. Literacy rates and sex ratios are significantly correlated with the percentage of men and women who vote. While government programs have aimed to increase women's participation, factors like education levels and family support still influence gender differences in voting rates. The study is limited by only examining two elections and not considering proxy or postal voting in its analysis.
The document provides information on Asia Research Partners' online survey panel coverage across 13 Asian countries and regions. It includes the panel size for each country/region, as well as basic socioeconomic data. For some of the larger panels like China and India, it also provides breakdowns of the panel by demographics, geography, and other variables to illustrate its representativeness. The document aims to demonstrate Asia Research Partners' ability to provide clients with robust online consumer insights across Asia.
The document provides information on Asia Research Partners' online survey panel coverage across 13 countries in Asia. It includes the panel size for each country, as well as basic social, economic and demographic facts. Additionally, it gives breakdowns of the panel composition for some countries by variables such as age, gender, income level, occupation and other attributes. Tips are also provided for effectively conducting surveys in some of the key markets.
Educational dropout is one of the major problems in India and for the whole world itself. This article presents the problem of girl’s educational dropout of Himachal Pradesh in India. The literacy rate (LR) of the state is very excellent up to 82.80%. But the discrepancy of male and female LR goes up to 13.60% and this discrepancy creates a foremost problem with the overall LR of this state. Work has been done to find out the reasons for the most minuscule LR of female as compared to male. So that some suggested measure can be taken to improve the LR of the female in Himachal Pradesh.
Literacy Level in Andhra Pradesh and Telangana States – A Statistical Studytheijes
Literacy is the most important aspect for progress of people in a country. Higher is the literacy level, more is the civilization of the race. Keeping this in view, we took up a comparative study on female literacy levels in the Andhra Pradesh & Telangana states for Urban and Rural areas separately from 1991 – 2011. The study and analysis is based on secondary data collected from the Census Office of the above states. We used the statistical tools – Shewartz Control Charts for identify Very Poor and Moderately Poor districts w.r.t., female literacy ratio. The analysis, comparisons and conclusions are presented in this paper. More specifically, we wish to state that female literacy has a direct impact on growth of a family.
Trends and Levels of Female Literacy in Belagavi Districtijtsrd
Women education plays a very important role in the overall growth of the country. It does not only help in the development of half of the human capital but also improves the standard of living. The progress of the nation or region is shown by the level of education and literacy of its population. Education, particularly among women has been considered as one of the major aspects for socio-economic development of the people of a region. Belagavi district is among the rapidly developing districts in Karnataka with respect to socio-economic and agricultural development. According to 2011 census, average literacy rate of Belagavi district (73.48%) is lower than the average literacy rate of Karnataka state (75.60%).(Office of the Registrar General and Census Commissioner, India, 2011) This can be attributed to greater regional disparities throughout Belagavi district in literacy. In this paper, we present Provisional Population Totals of census 2001 and 2011 and examine the extent of literacy disparities at the taluk level. Here, we found that literacy rate in the study area was 64.21 % in 2001 which has increased to 73.48% in 2011. We also found that the urban literacy (85.56%) is significantly greater than the rural literacy (69.28%) which is concurrent to the wider gender disparities from the rural to the urban population. Manjunatha N K | S M Hurakadli"Trends and Levels of Female Literacy in Belagavi District" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-1 | Issue-5 , August 2017, URL: http://www.ijtsrd.com/papers/ijtsrd2392.pdf http://www.ijtsrd.com/other-scientific-research-area/other/2392/trends-and-levels-of-female-literacy-in-belagavi-district/manjunatha-n-k
This document discusses various methods for classifying individuals and families based on socioeconomic status. It describes Karl Marx and Weber's theories of social stratification and then presents several scales used in both urban and rural areas of India to measure factors like education, occupation, income, assets, and place of residence. It specifically outlines Kuppuswamy's method, which assigns scores in these areas to determine an individual's or family's social class as upper, upper middle, lower middle, upper lower, or lower.
This document analyzes gender differences in literacy rates in Osmanabad district, India between 1991 and 2001 at the tahsil (sub-district) level. Some key points:
- Literacy rates have increased for both males and females in Osmanabad district since independence, but there remains a significant gender gap.
- In 1991, the male literacy rate was 65% on average compared to 35% for females. Rates were higher for rural males (66%) than urban (61%) but higher for urban females (39%) than rural (34%).
- By 2001, the gender gap had narrowed slightly with male rates around 61-62% and female rates around 38-39% on average across
International Journal of Humanities and Social Science Invention (IJHSSI)inventionjournals
International Journal of Humanities and Social Science Invention (IJHSSI) is an international journal intended for professionals and researchers in all fields of Humanities and Social Science. IJHSSI publishes research articles and reviews within the whole field Humanities and Social Science, new teaching methods, assessment, validation and the impact of new technologies and it will continue to provide information on the latest trends and developments in this ever-expanding subject. The publications of papers are selected through double peer reviewed to ensure originality, relevance, and readability. The articles published in our journal can be accessed online.
Dehradun district is located in the northern Indian state of Uttarakhand. It has a total population of over 1.6 million as of 2011, with 53% males and 47% females. Literacy rates are the highest in the state at 84%, though the sex ratio is lower than average. The district economy is driven by agriculture, with over 13% of workers being cultivators and 7% agricultural laborers. Other major employment includes the secondary and tertiary sectors. Population growth has been high, increasing by 32% between 2001-2011, with urban areas growing faster than rural areas. Chakrata block has the highest male workforce participation while Vikasnagar is the lowest.
Age and Sex Structure of Uttar Pradesh & Kerala: A comparative StudyNandlal Mishra
The document compares the age and sex structure of Uttar Pradesh and Kerala based on 2011 Census data. It finds that Kerala has higher sex ratios, lower youth dependency, and an older population compared to Uttar Pradesh. Over time, both regions showed a transition to lower fertility and mortality, though Kerala transitioned earlier and more rapidly as indicated by its older population structure in 2011.
This document summarizes official statistics presented by Muhammad Tariq Jamshaid from the Department of Statistics at the University of Sargodha. It discusses the percentage of disabled population in Pakistan using data from the 1998 census, showing totals and breakdowns by sex, type of disability, and province. It also discusses Pakistan's age dependency ratio over time, how it is measured, and how it compares to other countries. Finally, it outlines data on women's participation in Pakistan's labor force, noting it is much lower than many other countries at 27% and exploring some factors that affect this rate.
This document discusses gender roles and equality in Thailand. It provides historical background on Thailand and outlines gender roles in various areas such as social institutions, family code, physical integrity, civil liberties, ownership rights, politics, education, and the economy. While Thailand's constitution provides equal rights to men and women, traditional gender roles still exist with women making up a smaller percentage of high-paying jobs and political positions. The document aims to explain the current situation of women in Thailand and strengthen knowledge about gender studies.
This document summarizes a study on the impact of rural non-farm employment diversification on poverty reduction in India. It outlines the background, data and methodology, findings, and conclusions of the study. The study uses National Sample Survey data from 1993-1994, 2004-2005, and 2011-2012 to analyze trends in rural employment and the determinants and effects of shifting from farm to non-farm work. Regression and matching analyses find that non-farm employment has increased substantially over time and varies significantly across states and household characteristics. Non-farm work is found to reduce poverty and increase household incomes.
Dr Ellina Samantroy's presentation at UNICEF Innocenti's Inception Scoping Workshop for Evidence on Educational Strategies to Address Child Labour in India & Bangladesh, held in New Delhi in November 2019.
This document provides demographic, socio-economic, and development indicator data for the Fatehpur district of Uttar Pradesh, India compared to other districts, Uttar Pradesh state, and India overall. It includes tables of data on population density, literacy rates, health indicators, infrastructure, poverty rates, and more. The Fatehpur district generally performs worse than state and national averages on most development indicators based on the data presented.
The document is a term paper project on gender disparity in the workforce in Malda District, West Bengal. It highlights the following key points in 3 sentences:
The study analyzes gender disparity in work participation using census data from 2001 and 2011. It finds that while male work participation rates remained steady, female rates decreased, increasing the gender gap. The document also examines variations in work participation across age groups, occupational categories, and blocks within the district, consistently finding higher rates for males compared to females.
Census of India, 2011 - Provisional Population totals for KeralaJustine George
This document contains tables and information from the 2011 Census of India about the population of Kerala. It provides data on the total population, population growth rate, density, age distribution, sex ratio, literacy rates and rankings of districts in Kerala according to these demographic indicators. The key findings are that Kerala's population in 2011 was 33.3 million with a 4.86% growth rate since 2001, a high density of 859 people per square kilometer, a sex ratio of 1084 females per 1000 males, and a high overall literacy rate of 93.91%.
This document summarizes a paper that measures labor quality in India from 1983-2011. It applies the Griliches and Jorgenson method to estimate labor quality across three broad sectors (agriculture, industry, services) and various sub-sectors, gender, age, and education levels. The authors find that overall labor quality grew at over 1% annually in India, with composition effects and rising education levels as major drivers. However, agriculture, which still accounts for over half of employment, significantly lags behind other sectors in labor quality.
Spatial regression model predicting Thailand’s election โดย อาจารย์ ดร. อานน...BAINIDA
The document discusses a conference on business analytics and data science in Thailand that included several presentations and topics:
1) Using data science to predict the results of Thailand's upcoming election and factors like social, economic, geographic, and demographic variables that could influence election outcomes.
2) Building spatial regression models to predict election results based on past voting data and other metrics.
3) One presentation discussed building a spatial negative binomial regression model to predict Thailand's 2011 election results based on 2005 and 2007 election data as well as socioeconomic and demographic variables.
This document summarizes a study on the relationship between demographic factors and employees' intention to quit in Sri Lanka's Free Trade Zones. The study found that age, length of service, and family income were significant demographic factors affecting intention to quit, while marital status and education were not significant. A survey of 568 employees found that younger workers with less than 1 year of service and lower family incomes had higher intentions to quit. The study aims to help organizations better understand and address the problem of high employee turnover in these trade zones.
This document analyzes the gender gap in voting patterns in Indian states based on socio-demographic factors. It finds that women's voter turnout lags behind men's turnout in most states and elections from 1991 to 2009. Literacy rates and sex ratios are significantly correlated with the percentage of men and women who vote. While government programs have aimed to increase women's participation, factors like education levels and family support still influence gender differences in voting rates. The study is limited by only examining two elections and not considering proxy or postal voting in its analysis.
The document provides information on Asia Research Partners' online survey panel coverage across 13 Asian countries and regions. It includes the panel size for each country/region, as well as basic socioeconomic data. For some of the larger panels like China and India, it also provides breakdowns of the panel by demographics, geography, and other variables to illustrate its representativeness. The document aims to demonstrate Asia Research Partners' ability to provide clients with robust online consumer insights across Asia.
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Employment Scenario of Lakshadweep: An Overview
1. Dr. Abdul Azeez N.P.
Assistant Professor of Economics,
Aligarh Muslim University Malappuram Centre
abdulazeeznp@gmail.com
2. Like other parts of our country,
generation of employment opportunities
is a challenge in the Union Territory of
Lakshadweep.
3. Sources of Data
• 5th Annual Employment Unemployment Survey 2015-
16 conducted by Labour Bureau.
• The survey has been conducted in all the States/UTs
and covers all the districts.
• The field work was executed from April, 2015 to
December, 2015.
4. States
Number of Household
surveyed
Number of person
surveyed
Rural Urban Total Rural Urban Total
Kerala 1776 2879 4655 7994 13289 21283
Lakshadweep 30 240 270 178 1336 1514
India 88783 67780 156563 448254 333539 781793
5. Labour Force Participation Rate
• LFPR shows the proportion of a country’s working-age
population that engages actively in the labour market,
either by working or looking/searching for work.
• It indicates relative size of the supply of labour available
to engage in the production of goods and services.
6. Sector Male Female Transgender Person
Rural 77.3 26.7 51.1 53.0
Urban 69.1 16.2 41.2 43.5
Total 75.0 23.7 48.0 50.3
LFPR at National Level (%)
8. State/ UTs
Rural Urban Rural +Urban
Male Female Total Male Female Total Male Female Total
Kerala 72.2 31.2 50.7 70.4 30.3 49.3 71.4 30.8 50.0
Lakshadweep 34.0 24.5 29.0 62.3 15.7 58.3 58.3 16.9 36.1
Total (India) 77.3 26.7 53.0 69.1 16.2 43.5 75.0 23.7 50.3
LFPR for Lakshadweep and Kerala- (%)
9. Worker Population Ratio (WPR)
WPR signifies the proportion of workers/employed
persons in the total population.
10. States
Rural Urban R+U
M F P M F P M F P
Kerala 69.4 21.6 44.3 67.1 21.5 43.1 68.4 21.6 43.8
Lakshadweep 32.1 23.9 27.8 51.3 13.1 30.7 48.5 14.5 30.3
Total 74.1 24.6 50.4 66.8 14.3 41.4 72.1 21.7 47.8
Worker Population Ratio (WPR)
(Percent)
21. Unemployment Rate
It reflects the portion of the labour force which
was available for work during the given
reference period but did not get work.
22. Sector Male Female Transgender Person
Rural 4.2 7.8 2.1 5.1
Urban 3.3 12.1 10.3 4.9
Total 4.0 7.8 4.3 5.0
Unemployment Rate for different Categories
based on UPS approach (All India- %)
26. Proportion Unemployed (PU)
It is the proportion of unemployed persons in
the total population, whereas unemployment
rate is defined as a proportion of unemployed
persons in the labour force.
27. Sex Rural Urban R+U
Male 3.2 2.3 3.0
Female 2.1 2.0 2.1
Transgender 1.1 2.0 2.1
Total Persons 2.7 2.1 2.5
Proportion Unemployed based on UPS (%)-
National Level
29. Under-Employment
The persons who were available for 12 months
during the reference period are categorized
into following four groups;
• Worked for 12 months or fully employed
• Worked for 6-11 months (partially employed)
• Worked for 1-5 months (partially employed)
• Did not get any work and remained
unemployed throughout the year.
30. Percentage distribution of persons
available for 12 months
States Sector
Worked 12
month
6-11
months
1-5 months
Did not get
any work
Kerala
Rural 58.9 29.5 1.5 10.1
Urban 68.8 19 1.4 10.8
R+ U 63.4 24.7 1.5 10.4
Lakshadweep
Rural 96.5 3.5 - -
Urban 68.9 14.4 12.4 4.3
R+ U 72 13.2 11 3.8
India
Rural 52.7 42.1 1.4 3.8
Urban 82.1 13.2 0.4 4.3
R+ U 60.6 34.4 1.1 3.9
31. Percentage distribution of persons in
Lakshadweep
Lakshadweep Worked 12
months
Worked 6-11
months
Worked 1 to 5
months
Did not get any
work
Male 69.1 15.1 13.6 2.3
Female 81 7.3 3 8.7
Rural- Male 93.7 6.3 - -
Rural- Female 100 - - -
Urban- Male 66.9 15.8 14.8 2.5
Urban- female 76 9.2 3.8 11
32. Reasons
Graduate Post Graduate
Rural Urban R+U Rural Urban R+U
Non-availability of
jobs matching with
education/skill/experience
55.9 64.0 58.3 58.5 68.7 62.4
Non-availability of
adequate remuneration 25.1 17.5 22.8 24.8 16.0 21.5
Family/ personal problems 5.5 5.0 5.3 3.7 4.0 3.8
Other 13.5 13.5 13.5 13.0 11.3 12.4
Unemployed person having graduate/Post graduate level
by reasons of unemployment at national level
33. States Unemployed
persons having
graduate
level
qualification
Unemployed persons having graduate level
qualification by reasons of unemployment
Non-availability of
jobs matching with
education/skill/experience
Non-
availability
of adequate
remuneration
Family/
personal
problems
Other
Kerala 18.5 71.8 15.2 7.7 5.4
Lakshadweep 22.3 30.7 - - 69.3
India 10.0 58.3 22.8 5.3 13.5
States Unemployed
persons having
post-graduate
level
qualification
Unemployed persons having post-graduate level
qualification by reasons of unemployment
Non-availability of
jobs matching with
education/skill/experience
Non-
availability
of adequate
Remuneration
Family/
personal
problem
s
Other
Kerala 14.5 81.4 13.1 2.9 2.6
Lakshadweep 24.5 15.4 - - 84.6
India 9.8 62.4 21.5 3.8 12.4
34. Methods adopted Lakshadweep Kerala India
Through employment exchange 2.1 6.3 4.3
Application made in response to
advertisement
3.7 20.6 23.7
Application made directly 12.7 4.8 2.7
Through friends/relatives 4.2 22.1 24.1
Through placement agencies/contractors 56.5 1.0 1.4
Employment exchange & advertisement 15.1 8.8 4.2
Friend/ Relative & Agencies/ Contractors - 1.9 2.3
More than two methods 5.7 29.9 33.5
Others - 4.6 3.8
Unemployed Persons by Methods
Adopted to Seek Work
35. Recommendations
• A comprehensive policy for development of
fisheries, tourism and establishment of eco-friendly
industries may be evolved for a systematic
development of these sectors;
• Promote SSIs through SHGs;
• Vocational type of education system should be
introduced;
• Promote self employment opportunities; and
• Migration to mainland.