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 is a dataset about literacy rate of different states of India. It shows male and female literacy rate, as well as average literacy rate of that state. I have used the data from internet to make the dataset.

With the help of html, data read and then data set is created in the form of csv file.

As of 2021, India recorded a higher nationwide literacy rate among men than women, at respectively **** percent of male population and **** percent of female population. The gender literacy gap was more evident in rural India, with only ** percent of women aged between 15 and 49 years being literate, compared to over ** percent of their male counterparts in the region.

Actual value and historical data chart for India Literacy Rate Youth Female Percent Of Females Ages 15 24

As per the estimates for the year 2023, the literacy rate among women in India was ** percent. Meanwhile, the literacy rate among their male Indian counterparts reached approximately 85 percent in the same period. The adult literacy rate in the country stood at ** percent.

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.

This dataset presents national-level literacy rates, compiled from multiple official sources, including the National Sample Survey (NSS), Periodic Labour Force Survey (PLFS), Population Census, National Family Health Survey (NFHS), and data published by the Ministry of Statistics and Programme Implementation (MoSPI).

It provides literacy rates disaggregated by gender, region (urban and rural), and age group. The inclusion of age groups is essential, as the criteria for calculating literacy rates have changed over time. To allow consistent comparisons across sources and years, an ‘age group’ column is included in the dataset. In general, literacy is assessed based on whether a person above a specified age can read and write a simple message with understanding in at least one language. The age specified as per these sources is as follows:

Census: Population aged 7 years and above (used since 1981; previously, it was 5 years and above). Data is available for 1951, 1961, 1971, 1981, 1991, 2001, and 2011 NSS: Population aged 5 years and above. Data is available for 2005, 2007-08, 2010, 2011-12, 2014, and 2017-18 PLFS: Survey typically covers population aged 15 years and above, but literacy data is also available for 5 years and above and 7 years and above. Data is available for 2017-18 to 2023-24. NFHS: Covers population aged 15–49 years only. Literacy rate refers to women and men who have completed standard 6, 9, or higher, or those who can read a full or partial sentence among individuals assumed to be literate. Data is available for 2005-06, 2015-16, and 2019-21. MoSPI: Follows the NSS age criteria, usually 5 years and above. Data is available for 2003, 2004, 2006, 2007, and 2011

In the year *******, a total of about ** percent Sikh females were literate in India. In comparison, a total of only ** percent Muslim females were literate during the same time period. The total female literacy rate in India grew from **** percent to **** percent from 2005 to 2016.

In the year *******, a total of **** percent females from scheduled castes were literate in India. In the same year, a total of only ** percent females from scheduled tribes were literate. The total female literacy rate in India grew from **** percent to **** percent from 2005 to 2016.

Literacy Rate Content

Literacy rate in India is uneven and as such, different states and union territories of India have differences in their literacy rates. The following table shows the details from 1951 to 2011 census data on total literacy rate in percentage.[2][3] According to Census 2011, Kerala has the highest total literacy rate and female literacy rate whereas Lakshadweep had the highest male literacy rate. Andhra Pradesh has the lowest overall literacy rate. Rajasthan has the lowest male literacy rate, while Bihar has the lowest female literacy rate. Literacy figures are collected by census takers which essentially means literacy (or lack therefore) is self assessed.

**Univercity List CONTENT **

The higher education system in India includes both private and public universities. Public universities are supported by the Government of India and the state governments, while private universities are mostly supported by various bodies and societies. Universities in India are recognised by the University Grants Commission (UGC), which draws its power from the University Grants Commission Act, 1956.[1] In addition, 15 Professional Councils are established, controlling different aspects of accreditation and co-ordination.

The types of universities include

• Central universities, or Union universities, are established by an Act of Parliament and are under the purview of the Department of Higher Education in the Ministry of Education.[3] As of 18 October 2022, the list of central universities published by the UGC includes 54 active central universities

- State universities are run by the state government of each of the states and territories of India and are usually established by a local legislative assembly act. As of 23 August 2022, the UGC lists 455 active state universities

- Deemed university, or "Deemed to be University", is a status of autonomy granted by the Department of Higher Education on the advice of the UGC, under Section 3 of the UGC Act.[8] As of 30 November 2021, the UGC lists 126 institutes which were granted the deemed to be university status.[9] According to this list, the first institute to be granted deemed university status was Indian Institute of Science, which was granted this status on 12 May 1958. In many cases, the same listing by the UGC covers several institutes.

• **Private universities **are approved by the UGC. They can grant degrees but they are not allowed to have off-campus affiliated colleges. As of 23 August 2022, the UGC consolidated list of universities lists 421 private universities

In the year *******, a total of **** percent females from the highest wealth group were literate in India. In the same year, a total of only **** percent females from the lowest wealth group were literate. The total female literacy rate in India grew from **** percent to **** percent from 2005 to 2016.

India Vital Statistics: Age Specific Fertility Rate: per 1000 Female Population: Educational Level of Women: Literate: Below Primary School: Age: 35-39 data was reported at 32.600 NA in 2016. This records a decrease from the previous number of 32.700 NA for 2015. India Vital Statistics: Age Specific Fertility Rate: per 1000 Female Population: Educational Level of Women: Literate: Below Primary School: Age: 35-39 data is updated yearly, averaging 22.100 NA from Dec 2010 (Median) to 2016, with 7 observations. The data reached an all-time high of 32.700 NA in 2015 and a record low of 16.800 NA in 2012. India Vital Statistics: Age Specific Fertility Rate: per 1000 Female Population: Educational Level of Women: Literate: Below Primary School: Age: 35-39 data remains active status in CEIC and is reported by Census of India. The data is categorized under India Premium Database’s Demographic – Table IN.GAH008: Vital Statistics: Age Specific Fertility Rate: by Education Level of Women.

In 2020, the digital literacy rate in India was found to be higher among men as compared to women. The rate of searching and browsing the internet was ** percent among the male population as compared to ** percent among the female population.

Documentation

Description and codebook for subset of harmonized variables:

Section 2

Guide to datasets:

Full Project Name: The Impact of Mother Literacy and Participation Programs on Child Learning in India

Unique ID: 458

PIs: Rukmini Banerji, James Berry, Marc Shotland

Location: Indian states of Bihar and Rajasthan

Sample: Around 9,000 households in 480 villages

Timeline: 2010 to 2012

Target Group: Children Parents Rural population Women and girls

Outcome of Interest: Employment, Student learning ,Women’s/girls’ decision-making, Gender attitudes and norms

Intervention Type: Early childhood development, Tracking and remedial education, Empowerment training

Associated publications: https://www.aeaweb.org/articles?id=10.1257/app.20150390

More information: https://www.povertyactionlab.org/evaluation/impact-mother-literacy-and-participation-programs-child-learning-india

Dataverse: Banerji, Rukmini; Berry, James; Shotland, Marc, 2017, “The Impact of Maternal Literacy and Participation Programs: Evidence from a Randomized Evaluation in India”, https://doi.org/10.7910/DVN/19PPE7, Harvard Dataverse, V1

Section 3

Survey instrument:

Testing tools:

Section 4

Survey instrument:

Testing tools:

Section 5

No associated survey instrument

Section 6

This dataset was created on 2021-10-06 20:35:41.921 by merging multiple datasets together. The source datasets for this version were:

Maternal Literacy in India Baseline: Modified from ml_merged : contains data with variables only from baseline surveys

Maternal Literacy in India Endline: Modified from ml_merged : contains data with variables only from endline surveys

Maternal Literacy in India Raw Administrative Statistics: ml_admin_stats_raw: Contains administrative statistics from the 2011 census and aser surveys used in online Appendix Table 1 in the paper; this is merged with some of the survey data to create ml_admin_stats

India Census Dataset

This dataset provides comprehensive census data at the district level for India. It includes detailed demographic, religious, educational, and workforce-related attributes, making it a rich resource for socio-economic analysis.

1. Columns and Descriptions

A. Basic Information

District_code: A unique numeric code for each district. State_name: Name of the state to which the district belongs. District_name: Name of the district.

B. Population Data

Population: Total population of the district. Male: Total male population in the district. Female: Total female population in the district.

C. Literacy Data

Literate: Total number of literate individuals in the district.

D. Workforce Data

Workers: Total number of workers in the district. Male_Workers: Total number of male workers in the district. Female_Workers: Total number of female workers in the district. Cultivator_Workers: Number of workers engaged as cultivators. Agricultural_Workers: Number of workers engaged in agricultural labor. Household_Workers: Number of workers engaged in household industries.

E. Religion Data

Hindus: Total number of Hindus in the district. Muslims: Total number of Muslims in the district. Christians: Total number of Christians in the district. Sikhs: Total number of Sikhs in the district. Buddhists: Total number of Buddhists in the district. Jains: Total number of Jains in the district.

F. Education Data

Secondary_Education: Number of individuals with secondary education. Higher_Education: Number of individuals with higher education qualifications. Graduate_Education: Number of individuals with graduate-level education.

G. Age Group Data

Age_Group_0_29: Population in the age group 0–29 years. Age_Group_30_49: Population in the age group 30–49 years. Age_Group_50: Population aged 50 years and above.

2. Key Highlights

Number of Districts: 640 Number of Columns: 25 Non-null Values: All columns are complete with no missing data. Detailed breakdown of population by gender, age group, literacy levels, and workforce distribution. Religious composition and education statistics are also included for each district.

3. Potential Use Cases

Data Analysis and Visualization:

Explore patterns in population distribution, literacy rates, workforce composition, and religious demographics. Machine Learning Applications:

Build predictive models to classify districts or forecast demographic trends. Social Research:

Investigate correlations between education levels, workforce participation, and religion. Policy Planning:

Help policymakers target specific demographics or regions for intervention. Educational Insights:

Analyze the impact of education levels on workforce participation or literacy.

4. Dataset Overview

Total Rows: 640 Total Columns: 25 This dataset provides a unique opportunity to understand India's socio-economic and demographic composition at a granular district level.

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 literacy rate of the female population in the country was about ** percent in 2011, in comparison to about ** percent among the females in the scheduled caste population.

District wise language data drawn from the 2011 government censuses. This layer also Includes mother tongue languages and literacy rates for men and women.Data source: https://data.humdata.org/dataset/india-languagesThis map 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.

Changes in literacy rates (%) in Madhya Pradesh and Uttar Pradesh.

State wise language data drawn from the 2011 government censuses. This layer also Includes mother tongue languages and literacy rates for men and women.Data source: https://data.humdata.org/dataset/india-languagesThis map 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.