The Spatial Data from the 2011 India Census contains gridded estimates of India population at a resolution of 1 kilometer along with two spatial renderings of urban areas, one based on the official tabulations of population and settlement type (statutory town, outgrowth, census town), and the second, remotely-sensed measures of built-up land derived from the Global Human Settlement Layer. This data set includes a constructed hybrid representation of the urban settlement continuum by cross-classifying the census and remotely-sensed data.

The Spatial Data from the 2011 India Census contains gridded estimates of India population at a resolution of 1 kilometer along with two spatial renderings of urban areas, one based on the official tabulations of population and settlement type (statutory town, outgrowth, census town), and the second, remotely-sensed measures of built-up land derived from the Global Human Settlement Layer. This data set includes a constructed hybrid representation of the urban settlement continuum by cross-classifying the census and remotely-sensed data.

The population density of the northern state of Uttar Pradesh in India recorded *** people for every square kilometer in 2011, the latest available census. This was a doubling compared to the value in 1981.

Comprehensive population and demographic data for Up Mahal Hathwi(178-2) Village

This dataset provides a comprehensive historical record of the population of India from the year of its independence in 1947 to 2011. The dataset encompasses six decades of demographic information, capturing key trends and changes in India's population over time.

The dataset includes both national and state-level population figures, allowing researchers and data enthusiasts to explore and analyze the population dynamics across different regions of India. It comprises accurate and reliable data sourced from official government reports, census records, and reputable statistical sources.

Based on the recent 2011 census in India, a large portion of the population is illiterate, just under 100 million males and up to 85 million females have finished primary school. More than 42 million males and 26 million females graduated college and studied further.

The dataset contain the primary census abstract categorised by religion in Uttar Pradesh. The list contains different religions including Hindu, Buddhist, Christian, Muslim, Jain, Sikh etc.. along with the region specifying whether it is urban or rural. The data is of the 2011 census.

With almost all major religions being practiced throughout the country, India is known for its religious diversity. Islam makes up the highest share among minority faiths in the country. According to the Indian census of 2011, the Muslim population in Uttar Pradesh more than ** million, making it the state with the most Muslims.

Socio-economic conditions of Muslims
Muslims seem to lag behind every other religious community in India in terms of living standards, financial stability, education and other aspects, thereby showing poor performance in most of the fields. According to a national survey, 17 percent of the Muslims were categorized under the lowest wealth index, which indicates poor socio-economic conditions.

Growth of Muslim population in India
Islam is one of the fastest-growing religions worldwide. According to India’s census, the Muslim population has witnessed a negative decadal growth of more than ** percent from 1951 to 1960, presumably due to the partitions forming Pakistan and Bangladesh. The population showed a positive and steady growth since 1961, making up ** percent of the total population of India . Even though people following Islam were estimated to grow significantly, they would still remain a minority in India compared to *** billion Hindus by 2050.

Analysis unit

Persons, households, and dwellings

UNITS IDENTIFIED: - Dwellings: yes - Vacant Units: no - Households: yes - Individuals: yes - Group quarters: yes

UNIT DESCRIPTIONS: - Dwellings: Structurally separate units with their own entrance from the street, or a stairwell in permanent buildings, that are suitable for residential purposes. Dwellings consist of one room or multiple rooms with ancillary rooms. It makes no difference whether a kitchen or kitchenette is present. - Households: All persons living in a dwelling or similar accommodation as their main residence form a private household. The size of the household therefore corresponds to the number of people with their main residence in the dwelling. Up to the 1991 Population Census, the housekeeping-unit concept was used, according to which all persons living together and jointly managing a household formed a private household. - Group quarters: An institutional household is an establishment that is used for the accommodation and care of a group of persons – normally over the longer term. The term covers boarding schools, student residences, senior citizen and nursing homes, monasteries, military barracks, penal institutions, refugee centres, facilities for disabled, socially deprived or homeless persons, homes for young people or trainees and similar institutions. In contrast to the 2001 Population Census, the 2011 register-based census also considers non-institutional forms of living together in collective living quarters (e.g. company accommodation, hotels, etc.) as institutional households.Solely main residence registrations are recorded. Because of secondary residence registrations, the actual occupancy of individual facilities may be higher.

Universe

Population with a main residence in the territory

Sampling procedure

MICRODATA SOURCE: Statistics Austria

SAMPLE SIZE (person records): 839501.

SAMPLE DESIGN: Systematic sample of every 10th private household after a random start; 100% data of institutional households; drawn by Statistics Austria

Mode of data collection

Face-to-face [f2f]

Research instrument

None: register-based census.

Table shows estimates of resident population by 5 year age band from the 2011 Census of England and Wales, Scotland and Northern Ireland. England Wales local authorities, counties and regions, plus districts of Scotland and Northern Ireland and total UK population are included. 1) For the 2011 Census, a usual resident of the UK is anyone who, on census day 2011, was in the UK and had stayed or intended to stay in the UK for a period of 12 months or more, or had a permanent UK address and was outside the UK and intended to be outside the UK for less than 12 months. 2) The age of a person is derived from their date of birth. It is their age in years on their last birthday up to and including census day 2011. Dates of birth that imply an age over 115 are treated as invalid and the person's age is imputed. 3) Council area boundaries as at 1 April 2011. 4) Scotland figures in this table may not add exactly because they have been rounded to the nearest hundred. 5) Scotland has not published data by 5 year bands above 80, so all people aged 80+ are included in the 80-84 age group. Sources: Table qs103ew (England and Wales) Table A1 (Scotland) Table QS104NI (Northern Ireland)

Comprehensive population and demographic data for Up Mahal Koti (15/1) Village

Abstract

The objectives of the 2011 Population Census were:

a) to develop a set of benchmark data for different purposes, b) to provide distribution of population by demographic, social and economic characteristics. c) to provide data for small administrative areas of the country on population and housing characteristics. d) to provide reliable frames for different types of sample surveys, e) to provide many demographic indicators like birth rates, death rates and migration rates. f) to project population for the coming years.

Geographic coverage

National Level, Development Region Level, Ecological belt, Urban and rural, District, Village Development Committee/Municipality, Ward Level

Analysis unit

The census results provide information up to the ward level(the lowest administrative level of Nepal),household and Indimvisual

Universe

The National Popualtion and Housing Census 2011 covere all individuals of each households (usual residents) of Nepal.

Kind of data

Census/enumeration data [cen]

Sampling procedure

National Population and Housing Census 2011 uses two schedule for data collection. The short form (schedule 01) for the complete enumeration of the benchmark information and the long form (schedule 02) for the sample enumeration of other socio-economic and demographic information. The long form was administered for population dwellings in about 20 percent of the total housing units. Based on these, estimates were generated at the district level with reliable degree of precision.

The sampling scheme of the 2011 Population Census for the long form is summarized below.

1. The sampling covered the private households only. For the institutional population, Schedule-1 only was administered.

2. For the sampling, 75 administrative districts formed the main strata and VDC's and municipalities within the district formed the domains.

3. There were around 36,000 wards in the country at the time of the census. For the purpose of the census enumeration some of the large wards were further divided into sub-wards. These wards and sub-wards formed the EA's for sampling. The total number of EAs thus formed were around 40,000.

4. Sampling was carried out in each EA; housing unit being the sampling unit.

5. The list of housing units and households served as the sampling frame for the EA. The housing units were selected by systematic sampling method. The sampling interval taken was 8.

6. The list of selected housing units was made available to the enumerator for the enumeration. All households and persons found in the selected units were enumerated.

7. The ratio method was used in making estimates for the sample.

8. Tabulation groups were created separately for tabulation of persons and those for households. The main control variables for the majority of tabulations for persons were two variables: age sex. Tabulation groups for household tabulations were formed in a different manner: taking households as a tabulation group in the domain.

9. To implement the ratio estimation, first weights were calculated. The weights for sample data were computed by dividing the 100 percent counts for the same tabulation groups in the domain by sample counts for the same tabulation groups in the domain. To avoid inconsistency due to rounding, the figures were converted to whole numbers.

This detailed sampling procedure is documented in the Technical Documents.

Mode of data collection

Face-to-face [f2f]

Research instrument

Two types of schedules were prepared. Form 1 for complete enumeration and Form 2 for sample enumeration. Both schedules contained questions on household as well as individuals.

FORM 1: (COMPLETE Enumeration) A. Household Information (Question relating to Household), Type of house ownership, type of foundation, type of outer wall, type of roof, main source of drinking water, usual type of fuel used for cooking, usual source of lighting, toilet facility, household facilities, Female ownership on house, area of land owned by female member, death occur during the last 12 months, sex, age of deased person and cause of death, Absentees from Household (HH), reasons & country of destination.

B. Individual Information (Question relating to Individuals), Name, sex, age, relationship to the Household head, Caste/ethnicity, marital status, age at first marriage, religion, Language spoken, citizen, disability, literacy status, level of education.

FORM 2: (SAMPLE Enumeration) A. Individual Information (Question relating to Individuals), Place of birth, years of staying, reason of staying, place of living before 5 year, Children ever born, live births during the last 12 months, Usual activity during the last 12 months (economic/non-economic activities), occupation, industry, employment status, reasons for not being active, living arrangement of children below 16 years of age.

Cleaning operations

Data editing and cleaning take place in various stages: a) Coding is done for open ended questions like Caste/Ethnicity, Mother tongue, Second language, Cause of death, Country of destination, Citizenship, Occupation and Industry etc. by manually. b) Data entry application was developed with comphrehensive logic to capture miskeying as well as intra-record and inter-record inconsitencies. CSPro software is used to develop data entry application for data capturing. c) Structure checking and completeness check upto ward level. CSPro Batch edit program and SPSS programm is used to check structure checking and completeness check. d) hot deck and cold deck techniques are used in second stage of data editing and cleaning. CSPro Batch edit program is written to address automatically where inconsistencs and
anomalies are found. e) 10% sample questionnaires are re-entry to control miskeying.

Response rate

At the time of census there were 3,914 VDC's and 58 municipalities. VDC's contained a total of 35,226 wards while urban areas contained 806 wards. Thus total numbers of wards in the country were 36,032. All households and individuals from the total wards are counted at the census. However, the post enumeration survey shows that about 3.5% population are under enumerated.

Data appraisal

The field work of the Post Enumeration Survey (PES) was conducted in September 2011, three months after the main census. The sample size for this survey, owing to time constraints, was fixed at 10,000 households. enumeration rate was estimated to be around 3.63% in the census of 2011 compared to 5.3% in 2001.

Comprehensive population and demographic data for Up Mahal Bhaila Village

This paper examines the association between given and family names and self-ascribed ethnicity as classified by the 2011 Census of Population for England and Wales. Using Census data in an innovative way under the new Office for National Statistics (ONS) Secure Research Service (SRS; previously the ONS Virtual Microdata Laboratory, VML), we investigate how bearers of a full range of given and family names assigned themselves to 2011 Census categories, using a names classification tool previously described in this journal. Based on these results, we develop a follow-up ethnicity estimation tool and describe how the tool may be used to observe changing relations between naming practices and ethnic identities as a facet of social integration and cosmopolitanism in an increasingly diverse society.

Abstract

The 2011 Mauritius Housing & Population Census will be carried out by the Central Statistics Office in two distinct rounds: the Housing Census from 31 January 2011 to June 2011 followed by the Population Census from 20 June to 31 July 2011 in respect of all persons alive on the night of 3 - 4 July 2011. The main objective of the Housing and Population census is to provide up-to-date and disaggregated data on the housing conditions, the spatial distribution, and the demographic and socio-economic characteristics of the Mauritian population.

Geographic coverage

National

Analysis unit

• Household;
• Indivudual.

Universe

The Housing Census will enumerate all buildings, housing units, households, commercial and industrial establishments, hotels and boarding houses as well as fruit trees of bearing age on residential premises.

The Population Census will enumerate all persons present on census night in all households and communal establishments, as well as usual residents who are away on census night.

Housing and population enumerations will be conducted in the islands of Mauritius, Rodrigues and Agalega.

Kind of data

Census/enumeration data [cen]

Sampling procedure

Census 2011, like the four previous ones, was taken in two distinct rounds: the Housing Census followed by the Population Census four months later. This enumeration procedure was adopted in order to obtain at the Housing Census a list of names and addresses of heads of households which served as frame for the Population Census.

Mode of data collection

Face-to-face [f2f]

Research instrument

4.1 Questionnaire design The questionnaire type, format and contents were determined on the basis of the following factors:

Data to be collected Data collected were in line with UN recommendations and, in addition, catered for local data needs.

Method of enumeration For Census 2011, the questionnaires were completed by enumerators who carried out field interviews.

Data capture and processing techniques The office used scanning and recognition technology for census data capture directly from the questionnaires.

4.2 Contents of questionnaire The questionnaire contents were determined as follows: (i) The data needs of main stakeholders from Government Ministries and Departments were considered. As from 2008, heads of Government Ministries and Departments were invited via a circular letter to submit their requirements for demographic, social and economic data considered essential for administration, planning and policy-making and which could be collected at the census. Topics were retained after considering: - their usefulness to the country; - the cost for data collection and processing - where it is possible by other means to obtain satisfactory information more cheaply, the topic was not selected; and - their suitability for data collection at a Census - sensitive and controversial issues as well as questions that are too complicated or difficult for the average respondent to answer were avoided. (ii) The concepts and questions used for the previous census were examined for relevance and only those found relevant were kept. (iii) The latest “Principles and Recommendations for Population and Housing Censuses” were reviewed to determine whether to add questions or to modify existing questions. (iv) The questions thus arrived at were tested during a pilot census conducted in September 2010. In the light of observations made on the field, some changes were made to the wording and sequence of the questions and a final set of questions adopted. 4.2.1 The Housing Census questionnaire The Housing Census questionnaire covered all topics and items covered at Census 2000; some new items were added for the reasons given in the column “Remarks”.

The questionnaire was designed to cover 1 housing unit, up to two households, up to three planters and 1 commercial/industrial establishment, guest house or tourist residence. More than one questionnaire was used in other cases.

4.2.2 The Population Census questionnaire The 2011 Population Census questionnaire included the topics covered at the 2000 Population Census except that on income. Questions were added on National Identity number of each person as well as on residence for the reasons mentioned in the column “Remarks”.

4.3 Questionnaire layout and size The layout and design of response areas was done to ensure optimum conditions for data capture through scanning and recognition technology. The layout was also influenced by the cost (the number of pages had to be kept to a minimum to cut down on paper, printing and scanning costs) while at the same time ensuring ease of recording the answers on the field.

Cleaning operations

The quality of information collected depends not only on the training of field workers, but also on the day-to-day control and supervision of the fieldwork. Supervisors had to accompany each of their Enumerators in the first visits to ensure that interviews were done according to instructions given and that all concepts were clearly understood. Surprise and pre-arranged field checks as well as re-interviews also helped to increase the reliability of the information collected. Furthermore, Supervisors had to check all completed questionnaires at the early stage of enumeration and later a sample of the completed questionnaires to ensure that the quality of work was satisfactory. Meetings were held regularly to take stock of the field situation and to solve problems met on the field.

All supervisory staff had to record their field activities in provided diaries. The day-today record outlined the activities carried out, the dates and the places at which the activities were carried out, problems encountered and remedial actions taken. The day-to-day recording of activities allowed supervisory staff to follow the progress of work and to assess the performance of each and every staff working under their supervision. Furthermore, it ensured that supervisory control prevailed all along the fieldwork.

The projected median age of population in India, at national level, was expected to go up to more than 34 years by 2036 versus almost 25 years in 2011. At state level, Tamil Nadu reflected the highest projected median age with over 40 years in 2036 versus nearly 30 years in 2011.

The projected median age of population of a country is contingent upon several health metrics such as the fertility rate, birth rate, and mortality rate. For instance, if a country or state sees a lower fertility and mortality rate, the geriatric population is expected to increase proportionally.

Abstract

Censuses are principal means of collecting basic population and housing statistics required for social and economic development, policy interventions, their implementation and evaluation. The Post-Apartheid South African government has conducted three Censuses, in 1996, 2001 and 2011.

Geographic coverage

The South African Census 2011 has national coverage.

Analysis unit

Households and individuals

Universe

The South African Census 2011 covered every person present in South Africa on Census Night, 9-31 October 2011 including all de jure household members and residents of institutions.

Kind of data

Census/enumeration data

Sampling procedure

The sampling frame for the PES was the complete list of Census 2011 EAs, amounting to 103 576 EAs. The primary sampling units (PSUs) were the Census EAs. The principle for selecting the PES sample is that the EA boundaries for sampled EAs should have well defined boundaries, and these boundaries should correspond with those of Census EAs to allow for item-by-item comparison between the Census and PES records. The stratification and sampling process followed will allow for the provision of estimates at national, provincial, urban (geography type = urban) and non-urban (geography type = farm and traditional) levels, but estimates will only be reliable at national and provincial levels. The sample of 600 EAs was selected and allocated to the provinces based on expected standard errors which were based on those obtained in PES 2001. Populations in institutions (other than Workers' Hostels), floating and homeless individuals were excluded from the PES sample.

The data files in the dataset include Household, Person, and Mortality files. The 10% sample for the Mortality data file was sampled separately and is not the same as the 10% sample for Household file and Person file.

Mode of data collection

Face-to-face

Research instrument

Three sets of questionnaires were developed for Census 2011: 1. Questionnaire A - the household questionnaire - administed to the population in a household set-up including those households that were found within an institution, such as staff residences 2. Questionnaire B - the population in transit (departing) and those on holiday on reference night (9/10 October 2011). The homeless were also enumerated using this set of questions 3. Questionnaire C - the institutions questionnaire administered to the population in collective living quarters (people who spent census night 9/10 October 2011 at the institution)

A Post-Enumeration Survey was carried out after the census, which used a PES questionnaire.

Sampling error estimates

Comparison of Census 2011 with previous Censuses requires alignment of the data to 2011 municipal boundaries Questions on disability asked in former censuses were replaced in census 2011 with General health and functioning questions. Misreporting on general health and functioning for children younger than five years means data for this variable are only profiled for persons five years and older.

Data appraisal

The dataset does not have a code list for the “geotype” variable which has 3 values (1,2,3).

This feature layers contain demographics about age, gender, education, employment, assets & amenities as reported by Office of the Registrar General & Census Commissioner, India in the Census 2011. These attributes cover topics such as male and female population counts by age, literacy, occupation, and household characteristics.Census of India counts every resident in India at village level. It is mandated by The Census Act 1948 of the Constitution and takes place every 10 years.Other demographics layers are also available:Country DemographicsState DemographicsDistrict DemographicsSub-district DemographicsCombined DemographicsEach layer contains the same set of demographic attributes. Each geography level has a viewing range optimal for the geography size, and the map has increasing detail as you zoom in to smaller areas.Data source: Explore Census DataAdmin boundary source (country, states, and districts): Survey of India, 2020For more information: 2011 Census Demographic ProfileFor feedback please contact: content@esri.inData Processing notes:Country, State and District boundaries are simplified representations offered from the Survey of India database.Sub-districts and village boundaries are developed based on the census provided maps.Field names and aliases are processed by Esri India as created for the ArcGIS Platform.For a list of fields and alias names, access the following excel document.Disclaimer:The boundaries may not be perfectly align with AGOL imagery. The Census PDF maps are georeferenced using Survey of India boundaries and notice alignment issues with AGOL Imagery/ Maps. 33k villages are marked as point location on Census PDFs either because of low scale maps where small villages could not have been drawn or digitization has not been completed. These villages are marked as 100m circular polygons in the data.This 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 statistic displays the literacy rate in the state of Uttar Pradesh in India between 1991 and 2011, broken down by gender. In 2001, close to ** percent of the male population living in Uttar Pradesh knew how to read or write. India's literacy rate from 1981 through 2011 can be found here.

Census: Population: Uttar Pradesh: Agra data was reported at 1,585,704.000 Person in 03-01-2011. This records an increase from the previous number of 1,331,339.000 Person for 03-01-2001. Census: Population: Uttar Pradesh: Agra data is updated decadal, averaging 442,172.500 Person from Mar 1901 (Median) to 03-01-2011, with 12 observations. The data reached an all-time high of 1,585,704.000 Person in 03-01-2011 and a record low of 185,449.000 Person in 03-01-1911. Census: Population: Uttar Pradesh: Agra 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.GAC035: Census: Population: By Towns and Urban Agglomerations: Uttar Pradesh.