12 datasets found
  1. Muslims as a share of population in India 1951-2011

    • statista.com
    Updated Aug 8, 2024
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    Statista (2024). Muslims as a share of population in India 1951-2011 [Dataset]. https://www.statista.com/statistics/702004/share-of-muslims-2011/
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    Dataset updated
    Aug 8, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    1951 - 2011
    Area covered
    India
    Description

    According to India's last census in 2011, about 14.2 percent of the total population identified as Muslims. This was an increase from about ten percent in 1951. Overall, India has been a religiously pluralistic and multiethnic democracy with people of several faiths.

  2. Share of household heads in India by religion 2014

    • statista.com
    Updated Jun 20, 2016
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    Statista (2016). Share of household heads in India by religion 2014 [Dataset]. https://www.statista.com/statistics/678790/heads-of-household-by-religion-india/
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    Dataset updated
    Jun 20, 2016
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Nov 2013 - May 2014
    Area covered
    India
    Description

    According to a survey conducted between 2013 and 2014 across India, **** percent of the heads of households in the country identified as Hindu, followed by **** percent of Muslim heads of households. This is a direct indicator that although religiously pluralistic, India is a largely Hindu nation.

  3. Decadal growth rate of Hindus and Muslims India1951-2011

    • statista.com
    Updated Jul 10, 2023
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    Statista (2023). Decadal growth rate of Hindus and Muslims India1951-2011 [Dataset]. https://www.statista.com/statistics/1102969/india-decadal-growth-hindu-muslim-population/
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    Dataset updated
    Jul 10, 2023
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    1951 - 2011
    Area covered
    India
    Description

    According to India's last census in 2011, the Muslim population had about 24.6 percent of decadal growth rate, while Hindus had a decadal growth rate of 16.8 percent. India, a secular nation provides religious freedom as a fundamental right under the constitution to its citizens.

  4. Estimate for population growth in India 2010-2050 by religion

    • statista.com
    Updated Jul 11, 2025
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    Statista (2025). Estimate for population growth in India 2010-2050 by religion [Dataset]. https://www.statista.com/statistics/1048115/population-growth-by-religion-india/
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    Dataset updated
    Jul 11, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2015
    Area covered
    India
    Description

    It was estimated that by 2050, India's Muslim population would grow by ** percent compared to 2010. For followers of the Hindu faith, this change stood at ** percent. According to this projection, the south Asian country would be home not just to the world's majority of Hindus, but also Muslims by this time period. Regardless, the latter would continue to remain a minority within the country at ** percent, with ** percent or *** billion Hindus at the forefront by 2050.

  5. I

    India West Bengal: Tamluk: Total Votes Polled: Indian Union Muslim League

    • ceicdata.com
    Updated Mar 26, 2025
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    CEICdata.com (2025). India West Bengal: Tamluk: Total Votes Polled: Indian Union Muslim League [Dataset]. https://www.ceicdata.com/en/india/general-election-loksabha-election-outcome-of-parliamentary-constituencies-west-bengal/west-bengal-tamluk-total-votes-polled-indian-union-muslim-league
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    Dataset updated
    Mar 26, 2025
    Dataset provided by
    CEICdata.com
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Mar 1, 2014
    Area covered
    India
    Description

    West Bengal: Tamluk: Total Votes Polled: Indian Union Muslim League data was reported at 1,500.000 Unit in 2014. West Bengal: Tamluk: Total Votes Polled: Indian Union Muslim League data is updated yearly, averaging 1,500.000 Unit from Mar 2014 (Median) to 2014, with 1 observations. West Bengal: Tamluk: Total Votes Polled: Indian Union Muslim League data remains active status in CEIC and is reported by Election Commission of India. The data is categorized under India Premium Database’s General Election – Table IN.GEA035: General Election: Loksabha: Election Outcome of Parliamentary Constituencies: West Bengal.

  6. H

    Jeevika Livelihoods Project Phase 2 Evaluation (RCT), Bihar, India -...

    • dataverse.harvard.edu
    • search.dataone.org
    docx, pdf, tsv, xlsx
    Updated Dec 4, 2018
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    Harvard Dataverse (2018). Jeevika Livelihoods Project Phase 2 Evaluation (RCT), Bihar, India - Baseline and Endline Household And Village Data 2011-2014 [Dataset]. http://doi.org/10.7910/DVN/6PAHVM
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    pdf(970579), xlsx(28594), tsv(111150), tsv(4997322), docx(545643), pdf(537541)Available download formats
    Dataset updated
    Dec 4, 2018
    Dataset provided by
    Harvard Dataverse
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Area covered
    Bihar, India
    Description

    Poverty and empowerment impacts of the Bihar Rural Livelihoods Project: Evidence from a Mixed-Methods Cluster-Randomized Trial Jeevika is a World Bank assisted project focussed (now under the umbrella of the NRLM) on building networks of women's self-help credit and savings groups,and then using them as a base of other "vertical" interventions. This houshold and village survey data was collected over two rounds to conduct an impact evaluation of Phase 2 of the project with random assignment of the project over a two year period. Collaboration: World Bank Social Observatory team with Government of Bihar. Evaluation design, methods and implementation In order to evaluate the impacts of Jeevika, 180 panchayats were randomly selected from within 16 blocks in seven districts where scale-up of the project was planned but had not yet occurred. Some of these blocks were in districts relatively far from Patna, which had not yet been entered by the project (Madhepura, Saharsa, Supaul), while others were within the larger districts within which Jeevika was already operating (Gaya, Nalanda, Madhubani, Muzaffarpur). The project had already entered these districts in Phase 1, but had not yet expanded to all blocks due to (project) capacity constraints. Within each of the study villages, hamlets (tolas) in which the majority of the population belonged to a scheduled caste or scheduled tribe were identified. This was the same procedure as used by Jeevika to identify the target population (of poor women) for mobilization into the project. Tolas were identified through a focus group discussion held in each village, along with the population of target castes (SC/STs) within each. In Bihar, tola boundaries are easily distinguishable. Field teams would enter the tola at a random point, determine the skip pattern based on the population size and target sample size, and select households through a random walk. Survey staff aimed to include 70% SC/ST households, and 30% households from other castes in each village, in order to ensure variation in socio-economic status within the sample. If the households in selected tolas included fewer SC/ST households than this, households from nearby non-SC/ST majority tolas were also included in the sample. Interviews for the quantitative study were conducted using a structured paper survey form. Baseline and follow up surveys included detailed questions on debt, asset holdings, consumption expenditures, livelihood activities, and women’s mobility, role in household decisions, and aspirations. In addition, in each village, a focus group discussion was conducted, through which data were collected on village level attributes such as local sources of credit, interest rates from each source, local wage rates, and the presence of or distance to markets and other institutions and amenities. Respondents were not compensated for their time. If a respondent was unavailable during initial field visit, the supervisor recorded contact details and returned with interviewers at a later date. As long as the survey team was in that district, repeat visits were undertaken, keeping attrition to a minimum. If a household could not be re-surveyed at endline, it was replaced with another household in the same village. Short re-surveys containing a subset of questions from the main survey were conducted by supervisors for 10% of the sample. Staff from the project also conducted occasional visits after the survey was completed in a village to confirm that all modules had been covered by survey staff. Data was entered in duplicate using CSPro and any discrepancies were corrected based on the paper form. Following the baseline survey, panchayats were stratified on the 16 administrative blocks in the sample and the panchayat-level mean of outstanding high cost (monthly interest rate of 4% or higher) debt held by households at baseline. They were then randomly assigned to an early rollout group or a late rollout group using the random number generator within the Stata statistical analysis software package. The baseline survey was administered to 8988 households across 333 villages in 179 panchayats. The target number of households per panchayat was 50, but there was some variation around this in reality. The lowest number of households in a given panchayat was 49 (9 panchayats), and the largest number was 53 households (3 panchayats). To ensure that control panchayats were not entered by the project, Jeevika held a quarterly ""evaluation panchayat"" meeting, which block project managers of the 16 blocks were required to attend. At these meetings the project M&E team checked whether any village in a control panchayat had been entered, and received an update on progress in treatment panchayats. This procedure was successful in maintaining adherence to randomized treatment assignment throughout the evaluation period. Of the 4,472 households in the sample across 89 panchayats allocated to receive the SHG intervention, 2,722 reported that one of their members belonged to an SHG by endline, constituting 61% of the sample. Since SHG membership was optional, approximately 38% of households in treatment group panchayats had no member in an SHG by endline. The remaining 56 households (across 39 panchayats) did not answer this question or were lost to follow-up (only one such household was not replaced). Although it was possible for those residing in control areas to join (non-Jeevika) SHGs, the proportion of households group in this area containing SHG members remained minimal at endline, with only 460 households (just over 10% of the total sample) reporting SHG membership. Attrition (and replacement) were similar in control and treatment arms, with 132 treatment group baseline households not reached for a follow-up interview and all but one of these replaced, and 128 not reached and thus replaced in the control group. The qualitative evaluation draws on data collected from 2011 to early 2015 in six villages, two where Jeevika had been operating since 2006, two it entered during Phase II, and two where it had not yet intervened by the end of data collection. The Phase I treatment villages were selected at random from the set of previously entered villages in two different districts – Muzaffarpur and Madhubani. Each treatment village was then matched with a set of control villages using propensity score matching methods (Imbens and Rubin 2015) on the basis of village level data from the 2001 government census on literacy, caste composition, landlessness, levels of outmigration, and the availability of infrastructure. In order to find the closest treatment-control match, field investigators then visited the set of possible controls for two days for visual inspection and qualitative assessment. This combined quantitative and qualitative matching method yielded three matched pairs of phase I treatment, phase II treatment, and control villages, with each pair located within the same district. This method of sample selection allows comparison of villages receiving the intervention at each stage with their statistical clones that received it at a different stage or had not received it at all, allowing us to draw causal inferences about the effects induced by Jeevika during the different phases of its expansion. For the purpose of keeping their identity anonymous, we refer to the villages in Madhubani district as Ramganj (Phase I treatment), Nauganj (Phase II treatment) and Virganj (control) and the villages in Muzaffarpur district Saifpur (Phase I treatment), Raipur (Phase II treatment) and Bhimpur (Control). Villages in Madhubani are divided into segregated and caste-homogenous tolas. Brahmins are a majority in these villages, and their tolas are located close to the main resources of the village: the temple, pond and school. All other tolas extend southwards in decreasing order of status in the caste hierarchy, with the Schedule Caste (SC) communities being located farthest south. Each of these communities is also spatially segregated. The SC communities of these villages are mainly comprised of Musahar, Pasi, Ram, and Dhobi subcastes, and the other backward caste communities are comprised of Yadav, Mandal, Badhai, Hajaam, and Teli subcastes. The only big difference between Ramganj and Virganj is that the former has a sizeable Muslim population, comprising Sheikhs, Ansaris, Nutts and Pamariyas, while in the latter, there is only one Muslim (Sheikh) family in the entire village. Inhabitants of these villages primarily depend on agriculture and related activities for their livelihood. The villages in Muzaffarpur district are largely similar to the ones in Madhubani with the important differences being that they are primarily bazaar (market)-centric and the dominant caste is the Chaudhury, who belong to the business community. In each of these villages, first, preliminary studies were conducted using several participatory rural appraisal methods to gain an understanding of the layout of the village. Following this, a team of four field investigators (recruited from a local research-based NGO) accompanied by one of the three principal researchers would visit the villages every three to four months for a cycle of data collection (11 in total over the study period). During every cycle, the ethnographers would enter a different tola in the village for a week (there are roughly 10 tolas in each village). The ethnographers spoke to as many respondents as possible across the village and also returned to the first few respondents in the concluding cycles of data collection. These repeat interviews allowed us to see how respondents reflected on changes experienced as a result of the project [or otherwise] over the four-year period. The first set of participants was selected to be representative of different socioeconomic strata in the village, and subsequent participants were selected via a mixture of purposive and snowball sampling. We

  7. World Religions: population of the largest religions worldwide 2010-2050

    • statista.com
    Updated Apr 2, 2015
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    Statista (2015). World Religions: population of the largest religions worldwide 2010-2050 [Dataset]. https://www.statista.com/statistics/1350917/world-religions-adherents-2010-2050/
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    Dataset updated
    Apr 2, 2015
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    World
    Description

    As of 2010, Christianity was the religion with the most followers worldwide, followed by Islam (Muslims) and Hinduism. In the forty years between 2010 and 2050, it is projected that the landscape of world religions will undergo some noticeable changes, with the number of Muslims almost catching up to Christians. The changes in population sizes of each religious group is largely dependent on demographic development, for example, the rise in the world's Christian population will largely be driven by population growth in Sub-Saharan Africa, while Muslim populations will rise across various regions of Africa and South Asia. As India's population is set to grow while China's goes into decline, this will be reflected in the fact that Hindus will outnumber the unaffiliated by 2050. In fact, India may be home to both the largest Hindu and Muslim populations in the world by the middle of this century.

  8. Alcohol consumption among men India 2019-2021, by religion

    • statista.com
    Updated Aug 16, 2024
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    Statista Research Department (2024). Alcohol consumption among men India 2019-2021, by religion [Dataset]. https://www.statista.com/topics/4548/religion-in-india/
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    Dataset updated
    Aug 16, 2024
    Dataset provided by
    Statistahttp://statista.com/
    Authors
    Statista Research Department
    Area covered
    India
    Description

    According to a survey conducted by India's fifth National Family Health Survey (NFHS-5) in 2021 stated that about 36 percent of Christian men consumed alcohol in India. In contrast, over six percent of Muslim men consumed alcohol.

  9. Population of India 1800-2020

    • statista.com
    Updated Aug 9, 2024
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    Statista (2024). Population of India 1800-2020 [Dataset]. https://www.statista.com/statistics/1066922/population-india-historical/
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    Dataset updated
    Aug 9, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    India
    Description

    In 1800, the population of the region of present-day India was approximately 169 million. The population would grow gradually throughout the 19th century, rising to over 240 million by 1900. Population growth would begin to increase in the 1920s, as a result of falling mortality rates, due to improvements in health, sanitation and infrastructure. However, the population of India would see it’s largest rate of growth in the years following the country’s independence from the British Empire in 1948, where the population would rise from 358 million to over one billion by the turn of the century, making India the second country to pass the billion person milestone. While the rate of growth has slowed somewhat as India begins a demographics shift, the country’s population has continued to grow dramatically throughout the 21st century, and in 2020, India is estimated to have a population of just under 1.4 billion, well over a billion more people than one century previously. Today, approximately 18% of the Earth’s population lives in India, and it is estimated that India will overtake China to become the most populous country in the world within the next five years.

  10. Population of Bangladesh 1800-2020

    • statista.com
    Updated Aug 12, 2024
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    Statista (2024). Population of Bangladesh 1800-2020 [Dataset]. https://www.statista.com/statistics/1066829/population-bangladesh-historical/
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    Dataset updated
    Aug 12, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Bangladesh
    Description

    In 1800, the population of the area of modern-day Bangladesh was estimated to be just over 19 million, a figure which would rise steadily throughout the 19th century, reaching over 26 million by 1900. At the time, Bangladesh was the eastern part of the Bengal region in the British Raj, and had the most-concentrated Muslim population in the subcontinent's east. At the turn of the 20th century, the British colonial administration believed that east Bengal was economically lagging behind the west, and Bengal was partitioned in 1905 as a means of improving the region's development. East Bengal then became the only Muslim-majority state in the eastern Raj, which led to socioeconomic tensions between the Hindu upper classes and the general population. Bengal Famine During the Second World War, over 2.5 million men from across the British Raj enlisted in the British Army and their involvement was fundamental to the war effort. The war, however, had devastating consequences for the Bengal region, as the famine of 1943-1944 resulted in the deaths of up to three million people (with over two thirds thought to have been in the east) due to starvation and malnutrition-related disease. As the population boomed in the 1930s, East Bengal's mismanaged and underdeveloped agricultural sector could not sustain this growth; by 1942, food shortages spread across the region, millions began migrating in search of food and work, and colonial mismanagement exacerbated this further. On the brink of famine in early-1943, authorities in India called for aid and permission to redirect their own resources from the war effort to combat the famine, however these were mostly rejected by authorities in London. While the exact extent of each of these factors on causing the famine remains a topic of debate, the general consensus is that the British War Cabinet's refusal to send food or aid was the most decisive. Food shortages did not dissipate until late 1943, however famine deaths persisted for another year. Partition to independence Following the war, the movement for Indian independence reached its final stages as the process of British decolonization began. Unrest between the Raj's Muslim and Hindu populations led to the creation of two separate states in1947; the Muslim-majority regions became East Pakistan (now Bangladesh) and West Pakistan (now Pakistan), separated by the Hindu-majority India. Although East Pakistan's population was larger, power lay with the military in the west, and authorities grew increasingly suppressive and neglectful of the eastern province in the following years. This reached a tipping point when authorities failed to respond adequately to the Bhola cyclone in 1970, which claimed over half a million lives in the Bengal region, and again when they failed to respect the results of the 1970 election, in which the Bengal party Awami League won the majority of seats. Bangladeshi independence was claimed the following March, leading to a brutal war between East and West Pakistan that claimed between 1.5 and three million deaths in just nine months. The war also saw over half of the country displaced, widespread atrocities, and the systematic rape of hundreds of thousands of women. As the war spilled over into India, their forces joined on the side of Bangladesh, and Pakistan was defeated two weeks later. An additional famine in 1974 claimed the lives of several hundred thousand people, meaning that the early 1970s was one of the most devastating periods in the country's history. Independent Bangladesh In the first decades of independence, Bangladesh's political hierarchy was particularly unstable and two of its presidents were assassinated in military coups. Since transitioning to parliamentary democracy in the 1990s, things have become comparatively stable, although political turmoil, violence, and corruption are persistent challenges. As Bangladesh continues to modernize and industrialize, living standards have increased and individual wealth has risen. Service industries have emerged to facilitate the demands of Bangladesh's developing economy, while manufacturing industries, particularly textiles, remain strong. Declining fertility rates have seen natural population growth fall in recent years, although the influx of Myanmar's Rohingya population due to the displacement crisis has seen upwards of one million refugees arrive in the country since 2017. In 2020, it is estimated that Bangladesh has a population of approximately 165 million people.

  11. Number of Hajj pilgrims from India 1990-2024

    • statista.com
    Updated Jul 9, 2025
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    Statista (2025). Number of Hajj pilgrims from India 1990-2024 [Dataset]. https://www.statista.com/statistics/1362922/india-number-of-hajj-pilgrims/
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    Dataset updated
    Jul 9, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    India
    Description

    In 2024, almost ******* Indians proceeded to Hajj, the Islamic pilgrimage to Saudi Arabia. This was a slight increase compared to the previous year. Furthermore, until 1994 Hajj pilgrims travelled by ship and air. Later, air was the dominant means of transport for Indian Hajj pilgrims.

  12. Breakdown of population in Malaysia 2019-2024, by ethnicity

    • statista.com
    Updated Aug 22, 2024
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    Statista (2024). Breakdown of population in Malaysia 2019-2024, by ethnicity [Dataset]. https://www.statista.com/statistics/1017372/malaysia-breakdown-of-population-by-ethnicity/
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    Dataset updated
    Aug 22, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Malaysia
    Description

    As of July 2024, 70.4 percent of the Malaysian population were classified as Bumiputera, 22.4 percent were classified as ethnic Chinese, and 6.5 percent as ethnic Indians. Those who do not fall under these three main ethnic groups are classified as ‘Other’. Malaysia is a multi-ethnic and multi-religious society with three main ethnicities and language groups. Who are Malaysia’s Bumiputera? Bumiputera, meaning sons of the soil, is a term used to categorize the Malays, as well as the indigenous peoples of Peninsular Malaysia, also known as orang asli, and the indigenous peoples of Sabah and Sarawak. As of July 2023, the Bumiputera share of the population in Sabah was 89 percent, while that in Sarawak was 76.1 percent. Thus, the incorporation of the states of Sabah and Sarawak during the formation of Malaysia ensured that the ethnic Malays were able to maintain a majority share of the Malaysian population. Bumiputera privileges and ethnic-based politics The rights and privileges of the Malays and the natives of Sabah and Sarawak are enshrined in Article 153 of Malaysia’s constitution. This translated, in practice, to a policy of affirmative action to improve the economic situation of this particular group, through the New Economic Policy introduced in 1971. 50 years on, it is questionable whether the policy has achieved its aim. Bumiputeras still lag behind the other ethnic two major groups in terms of monthly household income. However, re-thinking this policy will certainly be met by opposition from those who have benefitted from it.

  13. Not seeing a result you expected?
    Learn how you can add new datasets to our index.

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Statista (2024). Muslims as a share of population in India 1951-2011 [Dataset]. https://www.statista.com/statistics/702004/share-of-muslims-2011/
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Muslims as a share of population in India 1951-2011

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2 scholarly articles cite this dataset (View in Google Scholar)
Dataset updated
Aug 8, 2024
Dataset authored and provided by
Statistahttp://statista.com/
Time period covered
1951 - 2011
Area covered
India
Description

According to India's last census in 2011, about 14.2 percent of the total population identified as Muslims. This was an increase from about ten percent in 1951. Overall, India has been a religiously pluralistic and multiethnic democracy with people of several faiths.

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