The statistic illustrates the share of elderly people living in India in 2011. over nine percent of the female elderly population were living in rural areas in India. Conversely, the share of male population living in the rural areas was lower at slightly over eight percent

The statistic displays the number of elderly people living in rural and urban areas in India between 1961 and 2011. In 2011, over 30 million people with the age of 60 years or above were living in urban areas in India. A large number of elderly population are living in rural areas.

The statistic shows the distribution of the aging population in rural and urban households across India in 2011, broken down by the number of elderly people living in households. In that year, around 22 percent of the households in rural India had one aged person.

India Census: Population: Rural: Male: Age: 8 data was reported at 10,497,018.000 Person in 2011. This records a decrease from the previous number of 12,475,322.000 Person for 2001. India Census: Population: Rural: Male: Age: 8 data is updated yearly, averaging 11,133,069.000 Person from Mar 1991 (Median) to 2011, with 3 observations. The data reached an all-time high of 12,475,322.000 Person in 2001 and a record low of 10,497,018.000 Person in 2011. India Census: Population: Rural: Male: Age: 8 data remains active status in CEIC and is reported by Census of India. The data is categorized under India Premium Database’s Demographic – Table IN.GAD003: Census: Population: by Single Age: Rural.

India Census: Population: Rural: Age: 75 data was reported at 3,497,157.000 Person in 2011. This records an increase from the previous number of 3,331,987.000 Person for 2001. India Census: Population: Rural: Age: 75 data is updated yearly, averaging 3,331,987.000 Person from Mar 1991 (Median) to 2011, with 3 observations. The data reached an all-time high of 3,497,157.000 Person in 2011 and a record low of 2,562,256.000 Person in 1991. India Census: Population: Rural: Age: 75 data remains active status in CEIC and is reported by Census of India. The data is categorized under India Premium Database’s Demographic – Table IN.GAD003: Census: Population: by Single Age: Rural.

In 2020, 108 out of 1,000 elderly people living in rural India, died at an age between 80 and 84 years old. The highest death rate was among elderly people who were 85 years or older in the country.

Abstract

Purpose: The multi-country Study on Global Ageing and Adult Health (SAGE) is run by the World Health Organization's Multi-Country Studies unit in the Innovation, Information, Evidence and Research Cluster. SAGE is part of the unit's Longitudinal Study Programme which is compiling longitudinal data on the health and well-being of adult populations, and the ageing process, through primary data collection and secondary data analysis. SAGE baseline data (Wave 0, 2002/3) was collected as part of WHO's World Health Survey http://www.who.int/healthinfo/survey/en/index.html (WHS). SAGE Wave 1 (2007/10) provides a comprehensive data set on the health and well-being of adults in six low and middle-income countries: China, Ghana, India, Mexico, Russian Federation and South Africa. Objectives: To obtain reliable, valid and comparable health, health-related and well-being data over a range of key domains for adult and older adult populations in nationally representative samples To examine patterns and dynamics of age-related changes in health and well-being using longitudinal follow-up of a cohort as they age, and to investigate socio-economic consequences of these health changes To supplement and cross-validate self-reported measures of health and the anchoring vignette approach to improving comparability of self-reported measures, through measured performance tests for selected health domains To collect health examination and biomarker data that improves reliability of morbidity and risk factor data and to objectively monitor the effect of interventions

Additional Objectives: To generate large cohorts of older adult populations and comparison cohorts of younger populations for following-up intermediate outcomes, monitoring trends, examining transitions and life events, and addressing relationships between determinants and health, well-being and health-related outcomes To develop a mechanism to link survey data to demographic surveillance site data To build linkages with other national and multi-country ageing studies To improve the methodologies to enhance the reliability and validity of health outcomes and determinants data To provide a public-access information base to engage all stakeholders, including national policy makers and health systems planners, in planning and decision-making processes about the health and well-being of older adults

Methods: SAGE's first full round of data collection included both follow-up and new respondents in most participating countries. The goal of the sampling design was to obtain a nationally representative cohort of persons aged 50 years and older, with a smaller cohort of persons aged 18 to 49 for comparison purposes. In the older households, all persons aged 50+ years (for example, spouses and siblings) were invited to participate. Proxy respondents were identified for respondents who were unable to respond for themselves. Standardized SAGE survey instruments were used in all countries consisting of five main parts: 1) household questionnaire; 2) individual questionnaire; 3) proxy questionnaire; 4) verbal autopsy questionnaire; and, 5) appendices including showcards. A VAQ was completed for deaths in the household over the last 24 months. The procedures for including country-specific adaptations to the standardized questionnaire and translations into local languages from English follow those developed by and used for the World Health Survey.

Content Household questionnaire 0000 Coversheet 0100 Sampling Information 0200 Geocoding and GPS Information 0300 Recontact Information 0350 Contact Record 0400 Household Roster 0450 Kish Tables and Household Consent 0500 Housing 0600 Household and Family Support Networks and Transfers 0700 Assets and Household Income 0800 Household Expenditures 0900 Interviewer Observations

Individual questionnaire 1000 Socio-Demographic Characteristics 1500 Work History and Benefits 2000 Health State Descriptions and Vignettes 2500 Anthropometrics, Performance Tests and Biomarkers 3000 Risk Factors and Preventive Health Behaviours 4000 Chronic Conditions and Health Services Coverage 5000 Health Care Utilization 6000 Social Cohesion 7000 Subjective Well-Being and Quality of Life (WHOQoL-8 and Day Reconstruction Method) 8000 Impact of Caregiving 9000 Interviewer Assessment

Geographic coverage

National coverage

Analysis unit

households and individuals

Universe

The household section of the survey covered all households in 19 of the 28 states in India which covers 96% of the population. Institutionalised populations are excluded. The individual section covered all persons aged 18 years and older residing within individual households.

Kind of data

Sample survey data [ssd]

Sampling procedure

World Health Survey Sampling India has 28 states and seven union territories. 19 of the 28 states were included in the design representing 96% of the population. India used a stratified multistage cluster sample design. Six states were selected in accordance with their geographic location and level of development. Strata were defined by the 6 states:(Assam, Karnataka, Maharashtra, Rajasthan, Uttar Pradesh and West Bengal), and locality (urban or rural). There are 12 strata in total. The 2000 Census demarcation was used as the sampling frame. Two stage and three stage sampling was adopted in rural and urban areas, respectively. In rural areas PSUs(villages) were selected probability proportional to size. The measure of size being the 2001 Census population in the village. SSUs (households) were selected using systematic sampling. TSUs (individuals) were selected using Kish tables. In urban areas, PSUs(city wards) were selected probability proportional to size. SSUs(census enumeration blocks), two were randomly selected from each PSU. TSU (households) were selected using systematic sampling. QSU (individuals) were selected as in rural areas. A sample of 379 EAs was selected as the primary sampling units(PSU).

SAGE Sampling The SAGE sample was pre-determined as all PSUs and households selected for the WHS/SAGE Wave 0 survey were included. Exceptions are three PSUs in Assam which were replaced as they were inaccessible due to flooding. And a further six PSUs were omitted for which the household roster information was not available. In each selected EA, a listing of the households was conducted to classify each household into the following mutually exclusive categories: 1)Households with a WHS/SAGE Wave 0 respondent aged 50-plus: all members aged 50-plus including the WHS/SAGE Wave 0 respondent were eligible for the individual interview. 2)Households with a WHS/SAGE Wave 0 respondent aged 47-49: all members aged 50-plus including the WHS/SAGE Wave 0 respondent aged 47-49 was eligible for the individual interview. 3)Households with a WHS/SAGE Wave 0 female respondent aged 18-46: all females members aged 18-49 including the WHS/SAGE Wave 0 female respondent aged 18-46 were eligible for the individual interview. 4)Households with a WHS/SAGE Wave 0 male respondent aged 18-46: three households were selected using systematic sampling and one male aged 18-49 was eligible for the individual interview. In the households not selected, all members aged 50-plus were eligible for the individual interview.

Stages of selection Strata: State, Locality=12 PSU: EAs=375 surveyed SSU: Households=10424 surveyed TSU: Individual=12198 surveyed

Mode of data collection

Face-to-face [f2f] PAPI

Research instrument

The questionnaires were based on the WHS Model Questionnaire with some modification and many new additions. A household questionnaire was administered to all households eligible for the study. A Verbal Autopsy questionnaire was administered to households that had a death in the last 24 months. An Individual questionniare was administered to eligible respondents identified from the household roster. A Proxy questionnaire was administered to individual respondents who had cognitive limitations. A Womans Questionnaire was administered to all females aged 18-49 years identified from the household roster. The questionnaires were developed in English and were piloted as part of the SAGE pretest in 2005. All documents were translated into Hindi, Assamese, Kanada and Marathi. SAGE generic questionnaires are available as external resources.

Cleaning operations

Data editing took place at a number of stages including: (1) office editing and coding (2) during data entry (3) structural checking of the CSPro files (4) range and consistency secondary edits in Stata

Response rate

Household Response rate=88% Cooperation rate=92%

Individual: Response rate=68% Cooperation rate=92%

India Census: Population: Rural: Age: 45 data was reported at 16,396,175.000 Person in 2011. This records a decrease from the previous number of 17,408,569.000 Person for 2001. India Census: Population: Rural: Age: 45 data is updated yearly, averaging 17,408,569.000 Person from Mar 1991 (Median) to 2011, with 3 observations. The data reached an all-time high of 17,841,441.000 Person in 1991 and a record low of 16,396,175.000 Person in 2011. India Census: Population: Rural: Age: 45 data remains active status in CEIC and is reported by Census of India. The data is categorized under India Premium Database’s Demographic – Table IN.GAD003: Census: Population: by Single Age: Rural.

India Census: Population: Rural: Female: Age: 32 data was reported at 5,877,203.000 Person in 2011. This records a decrease from the previous number of 6,118,409.000 Person for 2001. India Census: Population: Rural: Female: Age: 32 data is updated yearly, averaging 5,877,203.000 Person from Mar 1991 (Median) to 2011, with 3 observations. The data reached an all-time high of 6,118,409.000 Person in 2001 and a record low of 4,452,238.000 Person in 1991. India Census: Population: Rural: Female: Age: 32 data remains active status in CEIC and is reported by Census of India. The data is categorized under India Premium Database’s Demographic – Table IN.GAD003: Census: Population: by Single Age: Rural.

Prevalence of any chronic disease per 100 elderly population in India, 2017–18.

One on one, semi-structured interviews with Alaska Native (AN) Elders (Aleut, Inupiat, Central Yup'ik, Siberian Yupik) in each of the participating communities in the Norton Sound southern sub region, Aleutian Pribilof Island communities, and Anchorage. These interviews explored the meaning of successful aging, what is required to age successfully in their respective communities, and how they have maintained their health and well-being in both rural and urban settings. A second semi-structured one on one interview questionnaire was used with those Alaska Native Elders originally from the Norton Sound southern sub-region who have relocated to Anchorage. This questionnaire explored the reasons the Alaska Native Elders moved, the type and frequency of services they needed, and how their place of residence changed their definition of successful aging.

India Census: Population: Rural: Age: 83 data was reported at 224,362.000 Person in 2011. This records an increase from the previous number of 128,922.000 Person for 2001. India Census: Population: Rural: Age: 83 data is updated yearly, averaging 128,922.000 Person from Mar 1991 (Median) to 2011, with 3 observations. The data reached an all-time high of 224,362.000 Person in 2011 and a record low of 58,940.000 Person in 1991. India Census: Population: Rural: Age: 83 data remains active status in CEIC and is reported by Census of India. The data is categorized under India Premium Database’s Demographic – Table IN.GAD003: Census: Population: by Single Age: Rural.

Rural India was mainly made up of men and women between 15 and 59 years old in 2020. Compared to urban centers, children up to ages 14 had a higher share in rural areas during the same time period.

According to the Population Census of India 2011 and the National Sample Survey, a higher share of the male elderly population living in the rural areas were physically mobile in 2017. A similar trend was observed with the confined-to-home category, where about five percent of the men were confined to their homes versus six percent of women.

BackgroundIn India, the prevalence of overweight and obesity has increased rapidly in recent decades. Given the association between overweight and obesity with many non-communicable diseases, forecasts of the future prevalence of overweight and obesity can help inform policy in a country where around one sixth of the world’s population resides.MethodsWe used a system of multi-state life tables to forecast overweight and obesity prevalence among Indians aged 20–69 years by age, sex and urban/rural residence to 2040. We estimated the incidence and initial prevalence of overweight using nationally representative data from the National Family Health Surveys 3 and 4, and the Study on global AGEing and adult health, waves 0 and 1. We forecasted future mortality, using the Lee-Carter model fitted life tables reported by the Sample Registration System, and adjusted the mortality rates for Body Mass Index using relative risks from the literature.ResultsThe prevalence of overweight will more than double among Indian adults aged 20–69 years between 2010 and 2040, while the prevalence of obesity will triple. Specifically, the prevalence of overweight and obesity will reach 30.5% (27.4%-34.4%) and 9.5% (5.4%-13.3%) among men, and 27.4% (24.5%-30.6%) and 13.9% (10.1%-16.9%) among women, respectively, by 2040. The largest increases in the prevalence of overweight and obesity between 2010 and 2040 is expected to be in older ages, and we found a larger relative increase in overweight and obesity in rural areas compared to urban areas. The largest relative increase in overweight and obesity prevalence was forecast to occur at older age groups.ConclusionThe overall prevalence of overweight and obesity is expected to increase considerably in India by 2040, with substantial increases particularly among rural residents and older Indians. Detailed predictions of excess weight are crucial in estimating future non-communicable disease burdens and their economic impact.

*significance with p-value

Rural population (% of total population) in India was reported at 63.64 % in 2023, according to the World Bank collection of development indicators, compiled from officially recognized sources. India - Rural population - actual values, historical data, forecasts and projections were sourced from the World Bank on March of 2025.

In India, the share of elderly in rural areas who were dependent on their children was the highest category, with 79 percent in 2017 of all supporter groups. Second in line were elderly people who were dependent on their spouses, accounting for 15 percent during the same time period.

India Census: Population: Rural: Age: 32 data was reported at 11,567,758.000 Person in 2011. This records a decrease from the previous number of 12,157,220.000 Person for 2001. India Census: Population: Rural: Age: 32 data is updated yearly, averaging 11,567,758.000 Person from Mar 1991 (Median) to 2011, with 3 observations. The data reached an all-time high of 12,157,220.000 Person in 2001 and a record low of 8,950,551.000 Person in 1991. India Census: Population: Rural: Age: 32 data remains active status in CEIC and is reported by Census of India. The data is categorized under India Premium Database’s Demographic – Table IN.GAD003: Census: Population: by Single Age: Rural.

The statistic displays the share of elderly population working in India in 2011, with a breakdown by gender and region of origin. Over 66 percent of the elderly males living in rural areas in India were working in that year. The number of elderly people living in India by gender can be found here.