Among the states in India, Kerala had the highest literary rate with ** percent in 2011. Chandigarh, Himachal Pradesh and the capital territory of Delhi followed Kerala with above average literacy rates. Notably, all the leading states in the country had more literate males than females at the time of the census.

The data shows the year-wise and state or union territory-wise literacy and rural and urban literacy, for male, female, and total literacy, in India according to Census.

Note: 1. Literacy rate is defined as the population of literates in the population aged 7 year and above. 2. The 1991 data (Excluding Jammu & Kashmir)and 2001 data (Excludes figures of Paomata, Mao Maran and Pura sub-divisions of Senapati district of Manipur for 2001) refer to Census of India.

The dataset contains Year and State wise Literacy Rate

Note: 1. Literacy rates for 1951, 1961 and 1971 Censuses relate to population aged five years and above. The rates for the 1981, 1991, 2001 and 2011 Censuses relate to the population aged seven years and above. The literacy rate for 1951 in case of West Bengal relates to total population including 0-4 age group. Literacy rate for 1951 in respect of Chhattisgarh, Madhya Pradesh and Manipur are based on sample population. 2. India and Manipur figures exclude those of the three sub-divisions viz., Mao Maram, Paomata and Purul of Senapati district of Manipur as census result of 2001 in these three sub-divisions were cancelled due to technical and administrative reasons.

Literacy in India has been increasing as more and more people receive a better education, but it is still far from all-encompassing. In 2023, the degree of literacy in India was about 77 percent, with the majority of literate Indians being men. It is estimated that the global literacy rate for people aged 15 and above is about 86 percent. How to read a literacy rateIn order to identify potential for intellectual and educational progress, the literacy rate of a country covers the level of education and skills acquired by a country’s inhabitants. Literacy is an important indicator of a country’s economic progress and the standard of living – it shows how many people have access to education. However, the standards to measure literacy cannot be universally applied. Measures to identify and define illiterate and literate inhabitants vary from country to country: In some, illiteracy is equated with no schooling at all, for example. Writings on the wallGlobally speaking, more men are able to read and write than women, and this disparity is also reflected in the literacy rate in India – with scarcity of schools and education in rural areas being one factor, and poverty another. Especially in rural areas, women and girls are often not given proper access to formal education, and even if they are, many drop out. Today, India is already being surpassed in this area by other emerging economies, like Brazil, China, and even by most other countries in the Asia-Pacific region. To catch up, India now has to offer more educational programs to its rural population, not only on how to read and write, but also on traditional gender roles and rights.

This layer shows State-Wise Literacy Rates (1951-2011).Source of data: https://www.indiabudget.gov.in/economicsurvey/doc/stat/tab85.pdfNote:India and Manipur figures exclude those of the three sub-divisions viz. Mao Maram, Paomata and Purul of Senapati district of Manipur as census results of 2001 in these three sub-divisions were cancelled due to technical and administrative reasons.Literacy rates for 1951, 1961 and 1971 Censuses relate to population aged five years and above and from 1981 onwards Literacy rates relate to the population aged seven years and above. The literacy rate for 1951 in case of West Bengal relates to total population including 0-4 age group. Literacy rate for 1951 in respect of Chhattisgarh, Madhya Pradesh and Manipur are based on sample population.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.

Literacy Rate: Tamil Nadu data was reported at 80.100 % in 12-01-2011. This records an increase from the previous number of 73.450 % for 12-01-2001. Literacy Rate: Tamil Nadu data is updated decadal, averaging 58.525 % from Dec 1961 (Median) to 12-01-2011, with 6 observations. The data reached an all-time high of 80.100 % in 12-01-2011 and a record low of 36.390 % in 12-01-1961. Literacy Rate: Tamil Nadu 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 Education Sector – Table IN.EDA001: Literacy Rate.

Context

Government of India(GoI) does Census of entire country every ten years, last census was done in 2011 and next will be done in 2021. Purpose of census is to get good understanding of the country population and other associated things, these data helps GoI to create and enhance the the policy and new reforms.

Content

The attached CSV file has data related to Literacy in India according to India Census 2011. - First Column has simple serial number - Second column has the District name - Third column has State name corresponding to the district from second column. - Last column has the Literacy data corresponding to the district from second column.

Acknowledgements

All thanks to GoI and volunteers who help in collecting dataset.

Inspiration

This can be used to get insight about the education, as well as it can used along with other datasets as per need.

Analysis of ‘Govt Of India Literacy Rate’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://www.kaggle.com/doncorleone92/govt-of-india-literacy-rate on 13 February 2022.

--- Dataset description provided by original source is as follows ---

Context

This is the official dataset released by the govt. of India based on the census 2001 and 2011 survey.

Content

The data is of 35 Indian states and union territories. The literacy rate is spread across the major parameters - Overall, Rural and Urban. All the data is percentage of the total population of that state.

Acknowledgements

Derived from the govt. of India's official site.

Inspiration

Understand the literacy rate in India and which states/UT's have the highest growth in terms of increased literacy rates.

--- Original source retains full ownership of the source dataset ---

As per the Indian census data of 2011, about 83 percent of the male population in the southern state of Karnataka knew how to read or write. During the same year, the female literacy rate was at 68 percent in the state.

Literacy Rate: Uttar Pradesh data was reported at 67.700 % in 12-01-2011. This records an increase from the previous number of 56.270 % for 12-01-2001. Literacy Rate: Uttar Pradesh data is updated decadal, averaging 32.650 % from Dec 1951 (Median) to 12-01-2011, with 7 observations. The data reached an all-time high of 67.700 % in 12-01-2011 and a record low of 12.020 % in 12-01-1951. Literacy Rate: Uttar Pradesh 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 Education Sector – Table IN.EDA001: Literacy Rate.

The dataset contain the primary census abstract categorised by religion in Odisha. 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.

Literacy Rate: Bihar data was reported at 61.800 % in 12-01-2011. This records an increase from the previous number of 47.000 % for 12-01-2001. Literacy Rate: Bihar data is updated decadal, averaging 32.320 % from Dec 1951 (Median) to 12-01-2011, with 7 observations. The data reached an all-time high of 61.800 % in 12-01-2011 and a record low of 13.490 % in 12-01-1951. Literacy Rate: Bihar 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 Education Sector – Table IN.EDA001: Literacy Rate.

Literacy Rate: Karnataka data was reported at 75.400 % in 12-01-2011. This records an increase from the previous number of 66.640 % for 12-01-2001. Literacy Rate: Karnataka data is updated decadal, averaging 51.125 % from Dec 1961 (Median) to 12-01-2011, with 6 observations. The data reached an all-time high of 75.400 % in 12-01-2011 and a record low of 29.800 % in 12-01-1961. Literacy Rate: 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 Education Sector – Table IN.EDA001: Literacy Rate.

Literacy Rate: Kerala data was reported at 94.000 % in 12-01-2011. This records an increase from the previous number of 90.860 % for 12-01-2001. Literacy Rate: Kerala data is updated decadal, averaging 78.850 % from Dec 1951 (Median) to 12-01-2011, with 7 observations. The data reached an all-time high of 94.000 % in 12-01-2011 and a record low of 47.180 % in 12-01-1951. Literacy Rate: Kerala 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 Education Sector – Table IN.EDA001: Literacy Rate.

The statistic gives the literacy rate in rural and urban regions of the state of West Bengal in India in 2011, with a breakdown by gender. The literacy rate among males living in rural areas in West Bengal was around 79 percent in that year. India's literacy rate from 1981 through 2011 can be found here.

The statistic presents the literacy rate in rural and urban regions of Kerala in India in 2011, with a breakdown by gender. In 2011, the literacy rate among males living in rural areas in Kerala was around 95 percent. Kerala had the highest literacy rate in India in that year.

Abstract

This schedule is designed to collect the information on (a) participation of persons aged 5-29 years in the pursuit of education, (b) private expenditure incurred on the education of household members including those who are resident of Students' hostel at the time of survey, (c) examining the extent of educational wastage and their causes in terms of dropout and discontinuance and (d) IT literacy of persons aged 14 years and above. However, inclusions and exclusions, in a nutshell, are mentioned below.

Inclusions: I.School education commencing from class I to X or XII, as the case may be, irrespective of the recognition status of the educational institution, II.Higher secondary / Pre-university education leading to award of certificate/ diploma/ degree etc. including enrolment in private unrecognised institutions, which are authorised to sponsor students for public examinations as private or external candidates, III.General University education in Universities which are recognised by University Grant Commission(UGC), IV.Correspondence or distance learning courses conducted by Universities, Deemed Universities or Institutions, authorised by competent authorities for awarding regular degrees or diplomas or certificates, V.Technical or Professional courses, conducted by Universities, Deemed Universities or institutes like, National Institute of Fashion Technology, National School of Drama, Satyajit Ray Film and Television Institute, Film and Television Institute of India, Lok Nayak Jayaprakash Narayan National Institute of Criminology and Forensic Science, etc. or Institutions, authorised by competent authorities like All India Council of Technical Education (AICTE), Medical Council of India (MCI), The Institute of Chartered Accountants of India, The Institute of Cost and Works Accountants of India, The Institute of Company Secretaries of India, Actuarial Society of India, etc., leading to award of degree/diploma/certificates VI.All types of courses of duration three months or more, conducted by Institutions like Industrial Training Institute (ITI), National Vocational Training Institute, Regional Vocational Training Institutes, etc., authorised by competent authorities VII.Any course at primary level and above conducted by recognised educational institution not covered above.

Exclusions: I.Art, music and similar type of courses conducted by individuals in their houses or by unrecognised/ unaffiliated institutions, II.Classes taken by Private tutors, III.Education in nursery/Kindergartens/Preparatory levels except for their enrolment statuses and dropout / discontinuance statuses . IV.The non-formal system of education being implemented through various programmes by government or other agencies except for their enrolment statuses and discontinuance / dropout statuses.

Summary description of the schedule: In the present round, Schedule 25.2 on education and IT literacy consists of 10 blocks. The first three blocks, viz., Block 0, Block 1 and Block 2 have used for recording identification of sample households and particulars of field operations, as practised in previous rounds. The last two blocks, viz., Block 8 and Block 9 have used to record the remarks/comments of investigator and supervisory officer(s) respectively. Block 3 is used for recording the household characteristics like household size, principal industry and principal occupation of household, household type, religion, social group, distance from nearest school having primary/upper primary/secondary level classes, whether the household has a computer/ any access to internet and household's usual consumer expenditure in a month etc. Block 4 is used for recording the demographic and other particulars of all the household members satisfying the modified definition of household. Particulars of IT literacy for household members aged 14 & above and the particulars of current educational attendance and current enrolment status for household member aged 5-29 years are also collected in Block 4. The education particulars of the household members, aged 5 years to 29 years, who are currently attending educational institutions at primary level and above are recorded in Block 5. In this block, information on course, level, class/grade/year, type of institution, medium of instruction, etc., are collected on basic course. Block 6 is designed to collect particulars of private expenditure on education of the household members, whose educational particulars are collected in block 5. Here, the break-up of expenditure of the basic course of each such member is collected in detail. Particulars of household members, aged 5 years to 29 years, who are currently not attending any educational institution, are collected in Block 7. In this block, information like whether ever enrolled, age at entry in school, age of discontinuation / dropping, etc. have also recorded.

Geographic coverage

National, States, Urban, Rural

Analysis unit

Households Indivisuals

Universe

Households, persons aged 5-29 years in the pursuit of education

Kind of data

Sample survey data [ssd]

Sampling procedure

Outline of sample design: A stratified multi-stage design has been adopted for the 71st round survey. The first stage units (FSU) are the census villages (Panchayat wards in case of Kerala) in the rural sector and Urban Frame Survey (UFS) blocks in the urban sector. The ultimate stage units (USU) are households in both the sectors. In case of large FSUs, one intermediate stage of sampling is the selection of two hamlet-groups (hgs)/ sub-blocks (sbs) from each rural/ urban FSU.

Sampling Frame for First Stage Units: For the rural sector, the list of 2011 census villages (henceforth the term 'village' would mean Panchayat wards for Kerala) constitutes the sampling frame. In case of Kerala, due to the non-availability of Panchayat wards based on census 2011, the available list of Panchayat wards based on census 2001 is used as the rural frame. For the urban sector, the latest updated list of UFS blocks (phase 2007-12) is considered as the sampling frame.

Stratification: Stratum has been formed at district level. Within each district of a State/UT, generally speaking, two basic strata have been formed: (i) rural stratum comprising of all rural areas of the district and (ii) urban stratum comprising of all the urban areas of the district. However, within the urban areas of a district, if there are one or more towns with population 1 lakh or more as per Census 2011, each of them formed a separate basic stratum and the remaining urban areas of the district has been considered as another basic stratum.

Special stratum in the rural sector: There are some villages in Nagaland and Andaman & Nicobar Islands which reamins difficult to access. As in earlier rounds, a special stratum has been formed at State/UT level comprising these villages in the two State/UTs.

Sub-stratification:

Rural sector: If 'r' be the sample size allocated for a rural stratum, the number of sub-strata formed was 'r/2'. The villages within a district as per frame have been first arranged in ascending order of population. Then sub-strata 1 to 'r/2' have been demarcated in such a way that each sub-stratum comprised a group of villages of the arranged frame and had more or less equal population. Urban sector: If 'u' be the sample size allocated for an urban stratum, the number of sub-strata formed was 'u/2'. For all strata, if u/2 >1, implying formation of 2 or more sub-strata, all the UFS blocks within the stratum have been first arranged in ascending order of total number of households in the UFS Blocks as per UFS phase 2007-12. Then sub-strata 1 to 'u/2' have been demarcated in such a way that each sub-stratum had more or less equal number of households.

Total sample size (FSUs): 8300 FSUs have been allocated for the central sample at all-India level. For the state sample, there are 9274 FSUs allocated for all-India. State wise allocation of sample FSUs is given in Table 1.

Allocation of total sample to States and UTs: The total number of sample FSUs heve been allocated to the States and UTs in proportion to population as per Census 2011 subject to a minimum sample allocation to each State/ UT. While doing so, the resource availability in terms of number of field investigators has been kept in view.

Allocation of State/ UT level sample to rural and urban sectors: State/UT level sample size has been allocated between two sectors in proportion to population as per Census 2011 with double weightage to urban sector subject to the restriction that urban sample size for bigger states like Maharashtra, Tamil Nadu etc. do not exceed the rural sample size. A minimum of 16 FSUs (minimum 8 each for rural and urban sector separately) is allocated to each State/ UT.

Allocation to strata: Within each sector of a State/ UT, the respective sample size has been allocated to the different strata in proportion to the population as per Census 2011. Stratum level allocation has been adjusted to multiples of 2 with a minimum sample size of 2.

For special strata in the rural areas of Nagaland and A & N Islands, 4 FSUs has been allocated to each.

Allocation to sub-strata: Allocation for each sub-stratum has been 2 in both rural and urban sectors.

Selection of FSUs:

For the rural sector, from each stratum/sub-stratum, required number of sample villages have been selected by Probability Proportional to Size With Replacement (PPSWR), size being the population of the village as per Census 2011. For the urban sector, from each stratum/sub-stratum, FSUs have been selected by Probability Proportional to Size With Replacement (PPSWR), size being the number of households of the UFS Blocks. Both rural and urban samples have been drawn

Abstract

Information from the census provides an overall view of the people of Tokelau and the places where they live. Census information is used to plan vital public services, such as education, health, housing, and transport. It is also used to help understand how society changes over time.

Every person, household and institution present in Tokelau on Census Night, 18 October 2011, were enumerated to collect information on persons and households throughout the country, using a uniform methodology.The intent was to provide a count of all persons present within the Tokelau at that time. More specifically, the purpose of this census was to collect, process and disseminate detailed statistics on population size, composition and distribution at a small area level. The 2011 Tokelau Population and Housing Census contains data collected on HOUSEHOLDS and INSTITUTIONS: dwellling type, home ownership, household assets, access to services and energy sources; INDIVIDUALS: age, population group, language, religion, citizenship, migration, fertility, mortality and disability; and economic characteristics of individuals, including employment activities and unemployment.

Geographic coverage

National coverage.

Analysis unit

-Households -Individuals

Universe

The universe of the 2011 Tokelau Population and Housing Census is all occupied households (HHs) and covered every person present in Tokelau on Census Night, 18 October 2011 including all de jure household members and residents of institutions. Tokelau public servants and their immediate families are counted in Apia, Samoa, on census day.

Kind of data

Census/enumeration data [cen]

Mode of data collection

Face-to-face [f2f]

Research instrument

The questionnaires for the Tokelau 2011 Population and Housing Census include:

DWELLING/HOUSING QUESTIONNIARE Main building structure, flooring material, primary roofing material, outer wall material, rooms in main building, age of construction, toilet facilities, main source of water for drinking/washing, household’s main source of lighting/cooking, rubbish collected by village workers, rubbish disposal, household item ownership, internet access, sky television access,Household livestock ownership ( pig, chicken), household income sources, total household income.

INDIVIDUAL QUESTIONNIARE Usually resident population, citizenship, place of birth, migration, ethnic origin, religion, language, school attendance, highest level education highest qualifications, marital status, labour force, work for pay, unpaid work, smoking, literacy,fertility.

The questionnaire was published in English, Tokelau and Samoan (can be found in the External Resources) and was very similar to the 2006 Census one.

The statistic displays the literacy rate in rural and urban regions of the state of Uttar Pradesh in India in 2011, with a breakdown by gender. In that year, the literacy rate among males living in rural areas in Uttar Pradesh was around 76 percent. India's literacy rate from 1981 through 2011 can be found here.

BackgroundThis paper examines if, when controlling for biophysical and geographical variables (including rainfall, productivity of agricultural lands, topography/temperature, and market access through road networks), socioeconomic and health care indicators help to explain variations in the under-five mortality rate across districts from nine high focus states in India. The literature on this subject is inconclusive because the survey data, upon which most studies of child mortality rely, rarely include variables that measure these factors. This paper introduces these variables into an analysis of 284 districts from nine high focus states in India. Methodology/Principal FindingsInformation on the mortality indicator was accessed from the recently conducted Annual Health Survey of 2011 and other socioeconomic and geographic variables from Census 2011, District Level Household and Facility Survey (2007–08), Department of Economics and Statistics Divisions of the concerned states. Displaying high spatial dependence (spatial autocorrelation) in the mortality indicator (outcome variable) and its possible predictors used in the analysis, the paper uses the Spatial-Error Model in an effort to negate or reduce the spatial dependence in model parameters. The results evince that the coverage gap index (a mixed indicator of district wise coverage of reproductive and child health services), female literacy, urbanization, economic status, the number of newborn care provided in Primary Health Centers in the district transpired as significant correlates of under-five mortality in the nine high focus states in India. The study identifies three clusters with high under-five mortality rate including 30 districts, and advocates urgent attention. ConclusionEven after controlling the possible biophysical and geographical variables, the study reveals that the health program initiatives have a major role to play in reducing under-five mortality rate in the high focus states in India.