The data shows the year-wise gender ratio of population for states and union territories of India over the time period of 110 years starting from 1901 to 2011 according to the census reports.

Note: 1. For working out the gender ratio of India and Assam for 1981, interpolated figures for Assam have been used. 2. For working out the gender ratio of India and Jammu & Kashmir for 1991, interpolated figures for Jammu & Kashmir have been used. 3. The gender ratio for Arunachal Pradesh is not available for the years 1901-1951 and for Pondicherry it is not available for the years 1901, 1931 and 1941.

In 2011, the sex ratio of the general population in India was *** women to every one thousand men. On the other hand, the sex ratio of the elderly population in India stood at ***** women for every one thousand men, indicating an increase from the previous year. The sex ratio for both population types was forecasted to increase by 2031. After 2011, the sex ratio for the elderly population was estimated to be over ************, which indicates a higher number of elderly women than men.

Dataset Description:

This dataset contains two distinct tables that offer valuable insights into the population trends and characteristics of Indian districts. Dataset 1 includes demographic data, such as population growth rate, sex ratio, and literacy rate, while Dataset 2 provides information about the geographical aspects, including district area and population count. Together, these datasets empower researchers and data enthusiasts to explore and analyze India's demographic and geographical dynamics, contributing to a deeper understanding of the nation's diverse regions and populations.

Dataset 1: Demographic Insights - District: The name of the district within India. - State: The state to which the district belongs. - Growth: The population growth rate of the district. - Sex_Ratio: The ratio of males to females in the population. - Literacy: The literacy rate of the district's population.

Dataset 2: Geographical Information - District: The name of the district within India. - State: The state to which the district belongs. - Area_km2: The geographical area of the district in square kilometers. - Population: The population count of the district.

These datasets provide a comprehensive view of both the demographic and geographical aspects of Indian districts, enabling in-depth analysis of population trends and regional characteristics.

These data are intended for researchers, students, and policy makers for reference and mapping purposes, and may be used for basic applications such as viewing, querying, and map output production.

Sex Ratio at Birth: Female per 1000 Male: Chhattisgarh: Rural data was reported at 970.000 NA in 2020. This records a decrease from the previous number of 972.000 NA for 2019. Sex Ratio at Birth: Female per 1000 Male: Chhattisgarh: Rural data is updated yearly, averaging 985.000 NA from Dec 2006 (Median) to 2020, with 15 observations. The data reached an all-time high of 1,001.000 NA in 2011 and a record low of 967.000 NA in 2006. Sex Ratio at Birth: Female per 1000 Male: Chhattisgarh: Rural data remains active status in CEIC and is reported by Office of the Registrar General & Census Commissioner, India. The data is categorized under India Premium Database’s Demographic – Table IN.GAJ001: Memo Items: Sex Ratio at Birth.

As per the last census data from 2011, the sex ratio in Mumbai city was ***. This was lower than the sex ratio of the state of Maharashtra. Child sex ratio (in the group of *** years) in the state, however, was ***. Sex ratio refers to the number of females per 1000 males.

This dataset provides detailed information on the child population of Sikkim (0–6 years) based on the 2011 Census of India. It presents a breakdown of child population by residence type—Rural and Urban—and by sex (Male and Female). In addition, the dataset includes the Child Sex Ratio (CSR), defined as the number of girls per 1,000 boys in the 0–6 age group.

The dataset covers:

Rural and urban child population of Sikkim Male and female child population in both residence categories Child Sex Ratio (CSR) for the state, enabling demographic and gender-based comparison

Sex Ratio at Birth: Female per 1000 Male: Chhattisgarh data was reported at 958.000 NA in 2020. This records an increase from the previous number of 956.000 NA for 2019. Sex Ratio at Birth: Female per 1000 Male: Chhattisgarh data is updated yearly, averaging 969.000 NA from Dec 2006 (Median) to 2020, with 15 observations. The data reached an all-time high of 991.000 NA in 2011 and a record low of 956.000 NA in 2019. Sex Ratio at Birth: Female per 1000 Male: Chhattisgarh data remains active status in CEIC and is reported by Office of the Registrar General & Census Commissioner, India. The data is categorized under India Premium Database’s Demographic – Table IN.GAJ001: Memo Items: Sex Ratio at Birth.

his dataset contains demographic information for Indian states from the Census years 1951 to 2011. It includes total population, rural and urban population, literacy rate, and sex ratio for each state/UT across multiple decades.

The dataset can be used for:

Analyzing population trends over time

Studying urbanization and rural migration

Examining literacy growth across states

Understanding sex ratio imbalances historically

Building machine learning models for future population prediction

Columns Included:

State – Name of the State or Union Territory

Year – Census year (1951, 1961, ..., 2011)

Total_Population – Total population in that year

Rural_Population – Population in rural areas

Urban_Population – Population in urban areas

Literacy_Rate – Literacy percentage of the population

Sex_Ratio – Number of females per 1000 males

In Japan, the population sex ratio has seen slight changes over the past decades. In 2021, the number of men was around **** for every 100 women, constituting a decrease from **** in 1950.

What is the sex ratio? The population sex ratio is determined by the sex ratio at birth, different mortality rates between men and women, as well as losses and gains through migration. In the absence of alteration, the sex ratio in human populations is quite constant, with only minor deviations. While the sex ratio at birth is usually *** to ***, the population sex ratio, which refers to the total number of males for every 100 females, is often below 100. The reason for the shift mostly lies in differing lifestyles and physical constitutions of men and women. In general, women tend to be more resistant to disease throughout life, while men tend to engage in higher risk behavior or violence.

Influences and consequences
The sex ratio at birth and its possible determinants such as gestation environment, climate change, chemical pollution or socio-economic factors have long been subject to scientific research. Recently the impact of natural disasters, like the nuclear disaster in Japan in 2011, was presumed to influence the sex ratio at birth. The adult gender ratio has long been recognized as a key population-level determinant of behavior. However, there are many different or competing theories in existing literature about the social impacts of gender imbalance on topics such as violence, family stability, reproduction etc.

Sex Ratio at Birth: Female per 1000 Male: West Bengal: Rural data was reported at 941.000 NA in 2020. This records a decrease from the previous number of 948.000 NA for 2019. Sex Ratio at Birth: Female per 1000 Male: West Bengal: Rural data is updated yearly, averaging 940.000 NA from Dec 2006 (Median) to 2020, with 15 observations. The data reached an all-time high of 953.000 NA in 2015 and a record low of 932.000 NA in 2007. Sex Ratio at Birth: Female per 1000 Male: West Bengal: Rural data remains active status in CEIC and is reported by Office of the Registrar General & Census Commissioner, India. The data is categorized under India Premium Database’s Demographic – Table IN.GAJ001: Memo Items: Sex Ratio at Birth.

The Census 2011 is the 15th National census survey conducted by the Census Organization of India. Mr. C. Chandramouli is the Commissioner & Registrar General of the Indian 2011 Census. The 2011 Indian National Census has been conducted in 2 phases - house listing and population. The national census survey covered all the 28 states of the country and 7 Union territories including 640 districts, 497 cities, 5767 tehsils & over 6 lakh villages. Census demographic data contains information like Households, Population enumeration, Literacy, Sex ratio, Child sex ratio (0–6 age group), etc.Source links for the Data are given below:Census of India, 2011This web layer is offered by Esri India, for ArcGIS Online subscribers, If you have any questions or comments, please let us know via content@esri.in.

The data set records the main data of the sixth national census of Qinghai Province in 2010. The data are divided by province (city, district), permanent population, quantity, gender and proportion. The data set contains 20 data tables, which are: the main data of the sixth national census in 2010.xls, the permanent population aged 6 and above by region, gender and education level in the sixth census in 2011.xls, the permanent population aged 6 and above by age, gender and education level in the sixth census in 2011.xls, and the permanent population aged 6 and above by region, age and gender in the sixth census in 2011.xls In the sixth census, the population aged 15 and above was illiterate in 2011.xls; in the sixth census, the population aged 15 and above was illiterate in 2011.xls; in the sixth census, the population aged 15 and above was illiterate in 2010.xls; in the sixth census, the population aged 15 and above and the sex ratio were illiterate in 2010.xls; in the sixth census, the population aged 15 and above was illiterate in 2010.xls Population with education level 2010.xls, the number and size of households by region and collective households in the sixth population census 2010.xls, the size of households by Region in the sixth population census 2011.xls, the category of households by Region in the sixth population census 2011.xls, the number of rooms and area of households by Region in the sixth population census 2011.xls, and the ethnic composition by Region in the sixth population census 2010.xls The main data of the sixth population census in Qinghai Province are as follows: the age composition of the sixth population census by Region 2010.xls, the population density of the sixth population census by Region 2010.xls, the age composition and dependency ratio of the sixth population census by Region 2011.xls, the age and gender permanent population of the sixth population census 2011.xls, the urbanization rate of the sixth population census by Region 2010.xls Report.docx. The data table structure is different. For example, the data table in 2010 has nine fields: Field 1: Province (city, district) Field 2: Region Field 3: resident population Field 4: quantity Field 5: Rank Field 6: Male Field 7: specific gravity Field 8: Female Field 9: sex ratio

In India, the projected sex ratio for the population in 2036 is expected to see more females than males in comparison to the population as of 2011. Apart from Kerala, Karnataka, Maharashtra and Gujarat, the sex ratio is expected to increase in ******** states of India. Of these, the lowest sex ratio is expected to be seen in the national capital region of Delhi with *** in 2036.

Sex Ratio at Birth: Female per 1000 Male: West Bengal: Urban data was reported at 920.000 NA in 2020. This records a decrease from the previous number of 928.000 NA for 2019. Sex Ratio at Birth: Female per 1000 Male: West Bengal: Urban data is updated yearly, averaging 949.000 NA from Dec 2006 (Median) to 2020, with 15 observations. The data reached an all-time high of 964.000 NA in 2014 and a record low of 903.000 NA in 2006. Sex Ratio at Birth: Female per 1000 Male: West Bengal: Urban data remains active status in CEIC and is reported by Office of the Registrar General & Census Commissioner, India. The data is categorized under India Premium Database’s Demographic – Table IN.GAJ001: Memo Items: Sex Ratio at Birth.

India recorded a gender ratio of approximately *** in 2011. The ratio was expected to improve to *** in 2026. Rural areas are expected to have a lower gender ratio in comparison to urban areas, with around *** women for every 1,000 men.

The Dataset consist of distribution of population across different states. The dataset also gives information regarding the area of the state, urban-rural distribution of population, population density, sex ratio and literacy rates in different states with reference from 2011 census. The dataset helps in analysis of population distribution of India.

Note: *Disputed area of 13 km^2 between Puducherry and Andhra Pradesh is included in neither. *The shortfall of 7 km^2 area of Madhya Pradesh and 3 km^2 area of Chhattisgarh is yet to be resolved by the Survey of India. *Area figures do not include the areas claimed by India that are in Pakistani or Chinese administrative control. This includes 78,114 km^2 of area in Azad Kashmir and Gilgit-Baltistan under Pakistani administration, 5,180 km^2 of area in Shaksgam Valley ceded to China by Pakistan and 37,555 km^2 of area in Aksai Chin under Chinese administration totaling to 120,849 km^2.

Sex Ratio at Birth: Female per 1000 Male: Karnataka data was reported at 916.000 NA in 2020. This records an increase from the previous number of 915.000 NA for 2019. Sex Ratio at Birth: Female per 1000 Male: Karnataka data is updated yearly, averaging 935.000 NA from Dec 2006 (Median) to 2020, with 15 observations. The data reached an all-time high of 958.000 NA in 2013 and a record low of 915.000 NA in 2019. Sex Ratio at Birth: Female per 1000 Male: Karnataka data remains active status in CEIC and is reported by Office of the Registrar General & Census Commissioner, India. The data is categorized under India Premium Database’s Demographic – Table IN.GAJ001: Memo Items: Sex Ratio at Birth.

This layer shows state-wise population under different age groups and Child Sex Ratio in 2001 and 2011 as per Economic Survey Report 2024-2025Source of data: https://www.indiabudget.gov.in/economicsurvey/doc/stat/tab8.8.pdfThis web layer is offered by Esri India, for ArcGIS Online subscribers. If you have any questions or comments, please let us know via content@esri.in.

This dataset presents detailed demographic and administrative statistics of Arunachal Pradesh, compiled from the Development Statistics Atlas of Arunachal Pradesh – 2020 published by the Directorate of Economics & Statistics, Government of Arunachal Pradesh. The data is primarily based on the 2011 Population Census and includes district-wise information on total population, rural and urban population distribution, sex ratio, density of population, and scheduled tribe composition. Additionally, it outlines the number of inhabited and electrified villages, administrative divisions, and key socio-economic indicators. This comprehensive atlas provides valuable insights into the spatial and demographic patterns essential for regional planning, infrastructure development, and policy analysis.