Literacy in India has been increasing as more and more people receive a better education, but it is still far from all-encompassing. In 2022, the degree of literacy in India was about 76.32 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.

World Development Indicators (WDI) Dataset Description The World Development Indicators (WDI) dataset is a comprehensive compilation of relevant, high-quality, and internationally comparable statistics about global development. It presents the most current and accurate global development data available and includes national, regional, and global estimates.

                Data Coverage

Time Period: Varies by indicator, often covering several decadesGeographical Coverage: Includes data from all countries and regions worldwide Indicators and Source URLs The following is a list of indicators included in the dataset, along with their respective source URLs: Here is the revised list with the URL replaced with the provided link: Indicators and Source URLs The following is a list of indicators included in the dataset, along with their respective source URLs: Here is the updated list: Indicators and Source URLs The following is a list of indicators included in the dataset, along with their respective source URLs: Population Total: SP.POP.TOTLWorking Population: SP.POP.1564.TOPopulation Ages 0-14: SP.POP.0014.TOPopulation Ages 15-64: SP.POP.1564.TOPopulation Ages 65 and Above: SP.POP.65UP.TOFemale Population (% of total): SP.POP.TOTL.FE.ZSMale Population (% of total): SP.POP.TOTL.MA.ZSGDP (current US$): NY.GDP.MKTP.CDGDP Growth Rate: NY.GDP.MKTP.KD.ZGGDP per Capita (current US$): NY.GDP.PCAP.CDLabor Force Participation Rate: SL.TLF.CACT.ZSLabor Force Participation Rate, Female: SL.TLF.CACT.FE.ZSLabor Force Participation Rate, Male: SL.TLF.CACT.MA.ZSUnemployment Rate: SL.UEM.TOTL.ZSLife Expectancy at Birth: SP.DYN.LE00.INPrimary School Enrollment: SE.PRM.ENRRSecondary School Enrollment: SE.SEC.ENRRTertiary School Enrollment: SE.TER.ENRRAdult Literacy Rate: SE.ADT.LITR.ZSYouth Literacy Rate: SE.ADT.1524.LT.ZS

Brazil Population: Literate: Northeast: Bahia: Salvador: 20 Years to 24 Years data was reported at 248,170.000 Person in 2010. This records a decrease from the previous number of 267,099.000 Person for 2000. Brazil Population: Literate: Northeast: Bahia: Salvador: 20 Years to 24 Years data is updated yearly, averaging 248,170.000 Person from Jul 1991 (Median) to 2010, with 3 observations. The data reached an all-time high of 267,099.000 Person in 2000 and a record low of 204,116.000 Person in 1991. Brazil Population: Literate: Northeast: Bahia: Salvador: 20 Years to 24 Years data remains active status in CEIC and is reported by Brazilian Institute of Geography and Statistics. The data is categorized under Brazil Premium Database’s Socio and Demographic – Table BR.GAD020: Population: Literate: by Municipality: Northeast: Bahia: Salvador.

Every child has the right to quality education

Description of Database:

This database presents four indicators (described in the next section) for children with and without functional difficulty: 1. ANAR (primary to upper secondary): Each education level is presented in a separate sheet. 2. OOSR (primary to upper secondary): Each education level is presented in a separate sheet. 3. Completion rate: Only primary level is presented 4. Foundational learning skills (reading and numeracy for 7 to 14 year olds) :Foundational reading and numeracy skills are presented in separate sheets

For each group, the total indicator values as well as disaggregation by sex and urban location are also provided. This database is calculated using data from the five to seventeen questionnaire. It is important to note the value of the ""total"" presented here and the survey findings report may differ due to the different weighting scheme of the questionnaires estimated using the household questionnaire. However, the choice was made to make this information available despite the discrepancy to allow for comparison of the education for children with disabilities compared to those without disabilities and also against the population of all five to seventeen year olds.

Please note, that the cut-off for the datasets were 17 year olds, and therefore ANAR upper secondary and OOS upper secondary excludes children 18 or above. Indicator values are not shown for less than 50 unweighted observations.

| Region, Sub-...

Brazil Population: Literate: South: Paraná: Curitiba: 15 Years to 19 Years: 15 Years data was reported at 27,658.000 Person in 2010. This records an increase from the previous number of 27,369.000 Person for 2000. Brazil Population: Literate: South: Paraná: Curitiba: 15 Years to 19 Years: 15 Years data is updated yearly, averaging 27,369.000 Person from Jul 1991 (Median) to 2010, with 3 observations. The data reached an all-time high of 27,658.000 Person in 2010 and a record low of 24,557.000 Person in 1991. Brazil Population: Literate: South: Paraná: Curitiba: 15 Years to 19 Years: 15 Years data remains active status in CEIC and is reported by Brazilian Institute of Geography and Statistics. The data is categorized under Brazil Premium Database’s Socio and Demographic – Table BR.GAD044: Population: Literate: by Municipality: South: Paraná: Curitiba.

Literacy: Literate: Morelos data was reported at 1,432,769.000 Person in 2020. This records an increase from the previous number of 1,172,821.000 Person for 2010. Literacy: Literate: Morelos data is updated yearly, averaging 871,282.000 Person from Dec 1980 (Median) to 2020, with 6 observations. The data reached an all-time high of 1,432,769.000 Person in 2020 and a record low of 449,977.000 Person in 1980. Literacy: Literate: Morelos data remains active status in CEIC and is reported by National Institute of Statistics and Geography. The data is categorized under Global Database’s Mexico – Table MX.G017: Literacy: Age 15 and Above.

Mexico Literacy: Literate data was reported at 89,320,723.000 Person in 2020. This records an increase from the previous number of 72,425,081.000 Person for 2010. Mexico Literacy: Literate data is updated yearly, averaging 54,609,917.000 Person from Dec 1980 (Median) to 2020, with 6 observations. The data reached an all-time high of 89,320,723.000 Person in 2020 and a record low of 31,475,670.000 Person in 1980. Mexico Literacy: Literate data remains active status in CEIC and is reported by National Institute of Statistics and Geography. The data is categorized under Global Database’s Mexico – Table MX.G017: Literacy: Age 15 and Above.

Mexico Literacy: Literate: San Luis Potosi data was reported at 1,984,709.000 Person in 2020. This records an increase from the previous number of 1,623,903.000 Person for 2010. Mexico Literacy: Literate: San Luis Potosi data is updated yearly, averaging 1,228,618.500 Person from Dec 1980 (Median) to 2020, with 6 observations. The data reached an all-time high of 1,984,709.000 Person in 2020 and a record low of 717,821.000 Person in 1980. Mexico Literacy: Literate: San Luis Potosi data remains active status in CEIC and is reported by National Institute of Statistics and Geography. The data is categorized under Global Database’s Mexico – Table MX.G017: Literacy: Age 15 and Above.

Mexico Literacy: Literate: Hidalgo data was reported at 2,133,850.000 Person in 2020. This records an increase from the previous number of 1,652,706.000 Person for 2010. Mexico Literacy: Literate: Hidalgo data is updated yearly, averaging 1,153,098.500 Person from Dec 1980 (Median) to 2020, with 6 observations. The data reached an all-time high of 2,133,850.000 Person in 2020 and a record low of 596,005.000 Person in 1980. Mexico Literacy: Literate: Hidalgo data remains active status in CEIC and is reported by National Institute of Statistics and Geography. The data is categorized under Global Database’s Mexico – Table MX.G017: Literacy: Age 15 and Above.

Mexico Literacy: Literate: Durango data was reported at 1,276,892.000 Person in 2020. This records an increase from the previous number of 1,059,650.000 Person for 2010. Mexico Literacy: Literate: Durango data is updated yearly, averaging 853,104.000 Person from Dec 1980 (Median) to 2020, with 6 observations. The data reached an all-time high of 1,276,892.000 Person in 2020 and a record low of 570,757.000 Person in 1980. Mexico Literacy: Literate: Durango data remains active status in CEIC and is reported by National Institute of Statistics and Geography. The data is categorized under Global Database’s Mexico – Table MX.G017: Literacy: Age 15 and Above.

About this dataset

Context

The dataset presents median household incomes for various household sizes in Reading, MI, as reported by the U.S. Census Bureau. The dataset highlights the variation in median household income with the size of the family unit, offering valuable insights into economic trends and disparities within different household sizes, aiding in data analysis and decision-making.

Key observations

• Of the 7 household sizes (1 person to 7-or-more person households) reported by the census bureau, Reading did not include 6-person households. Across the different household sizes in Reading the mean income is $49,703, and the standard deviation is $23,149. The coefficient of variation (CV) is 46.57%. This high CV indicates high relative variability, suggesting that the incomes vary significantly across different sizes of households.
• In the most recent year, 2021, The smallest household size for which the bureau reported a median household income was 1-person households, with an income of $32,766. It then further decreased to 12,430 for 7-person households, the largest household size for which the bureau reported a median household income.

https://i.neilsberg.com/ch/reading-mi-median-household-income-by-household-size.jpeg" alt="Reading, MI median household income, by household size (in 2022 inflation-adjusted dollars)">

Content

When available, the data consists of estimates from the U.S. Census Bureau American Community Survey (ACS) 2017-2021 5-Year Estimates.

Household Sizes:

• 1-person households
• 2-person households
• 3-person households
• 4-person households
• 5-person households
• 6-person households
• 7-or-more-person households

Variables / Data Columns

• Household Size: This column showcases 7 household sizes ranging from 1-person households to 7-or-more-person households (As mentioned above).
• Median Household Income: Median household income, in 2022 inflation-adjusted dollars for the specific household size.

Good to know

Margin of Error

Data in the dataset are based on the estimates and are subject to sampling variability and thus a margin of error. Neilsberg Research recommends using caution when presening these estimates in your research.

Custom data

If you do need custom data for any of your research project, report or presentation, you can contact our research staff at research@neilsberg.com for a feasibility of a custom tabulation on a fee-for-service basis.

Inspiration

Neilsberg Research Team curates, analyze and publishes demographics and economic data from a variety of public and proprietary sources, each of which often includes multiple surveys and programs. The large majority of Neilsberg Research aggregated datasets and insights is made available for free download at https://www.neilsberg.com/research/.

Recommended for further research

This dataset is a part of the main dataset for Reading median household income. You can refer the same here

The Early Grade Reading Assessment (EGRA) is an oral student assessment designed to measure the most basic foundation skills for literacy acquisition in the early grades: recognizing letters of the alphabet, reading simple words, understanding sentences and paragraphs, and listening with comprehension.

The USAID Education Data for Decision Making (EdData II) project developed the EGRA methodology and has applied it in 11 countries and 19 languages. It has been adopted and used by other implementing partners in more than 30 other countries and more than 60 other languages. Data from EGRA have been used for feedback on teacher practice in rigorous but easy-to-understand ways. Many countries have shown an interest in using it as a springboard to improve reading, and have gone on to redesign their teacher training around reading.

Provincial-level diagnostic assessment of basic reading skills in grades 2 to 4 in English.

• Collection start: 2012
• Collection end: 2012

Mexico Literacy: Literate: Baja California data was reported at 2,817,601.000 Person in 2020. This records an increase from the previous number of 2,133,824.000 Person for 2010. Mexico Literacy: Literate: Baja California data is updated yearly, averaging 1,402,346.500 Person from Dec 1980 (Median) to 2020, with 6 observations. The data reached an all-time high of 2,817,601.000 Person in 2020 and a record low of 650,957.000 Person in 1980. Mexico Literacy: Literate: Baja California data remains active status in CEIC and is reported by National Institute of Statistics and Geography. The data is categorized under Global Database’s Mexico – Table MX.G017: Literacy: Age 15 and Above.

The iRead4Skills Dataset 2: annotated corpora by level of complexity for FR, PT and SP is a collection of texts categorized by complexity level and annotated for complexity features, presented in xlsx format. These corpora were compiled, classified and annotated under the scope of the project iRead4Skills – Intelligent Reading Improvement System for Fundamental and Transversal Skills Development, funded by the European Commission (grant number: 1010094837). The project aims to enhance reading skills within the adult population by creating an intelligent system that assesses text complexity and recommends suitable reading materials to adults with low literacy skills, contributing to reducing skills gaps and facilitating access to information and culture (https://iread4skills.com/).

This dataset is the result of specifically devised classification and annotation tasks, in which selected texts were organized and distributed to trainers in Adult Learning (AL) and Vocational Education Training (VET) Centres, as well as to adult students in AL and VET centres. This task was conducted via the Qualtrics platform.

The Dataset 2: annotated corpora by level of complexity for FR, PT and SP is derived from the iRead4Skills Dataset 1: corpora by level of complexity for FR, PT and SP ( https://doi.org/10.5281/zenodo.10055909), which comprises written texts of various genres and complexity levels. From this collection, a subset of texts was selected for classification and annotation. This classification and annotation task aimed to provide additional data and test sets for the complexity analysis systems for the three languages of the project: French, Portuguese, and Spanish. The texts in each of the language corpora were selected taking into account the diversity of topics/domains, genres, and the reading preferences of the target audience of the iRead4Skills project. This percentage amounted to the total of 462 texts per language, which were divided by level of complexity, resulting in the following distribution:

· 140 Very Easy texts

· 140 Easy texts

· 140 Plain texts

· 42 More Complex texts.

Trainers were asked to classify the texts according to the complexity levels of the project, here informally defined as:

Very Easy (everyone can understand the text or most of the text).

Easy (a person with less than the 9th year of schooling can understand the text or most of the text)

Plain (a person with the 9th year of schooling can understand the text the first time he/she reads it)

More complex (a person with the 9th year of schooling cannot understand the text the first time he/she reads it).

They were also asked to annotate the parts of the texts considered complex according to various type of features, at word-level and at sentence-level (e.g., word order, sentence composition, etc.), according to following categories:

Lexical/word-related features

• unknown word

• word too technical/specialized or archaic

• complex derived word

• points to a previous reference that is not obvious

• word (other)

Syntactic/sentence-level features

• unusual word order

• too much embedded secondary information

• too many connectors in the same sentence

• sentence (other)

• other (please specify)

The sets were divided in three parts in Qualtrics and, in each part, the texts are shown randomly to the annotator.

Students were asked to confirm that they could read without difficulty texts adequate to their literacy level. Each set contained texts from a given level, plus one text of the level immediately above.

They were also asked to annotate words or sequences of words in the text that they did not understand, according to the following categories:

• difficult word

• difficult part of the text

The complete results and datasets are in TSV/Excel format, in pairs of two files, with one file concerning the results from the classification (trainers)/validation (students) task and one file concerning the results from the annotation task. The complete datasets will be available under creative CC BY-NC-ND 4.0

Literacy: Literate: Campeche data was reported at 642,004.000 Person in 2020. This records an increase from the previous number of 526,998.000 Person for 2010. Literacy: Literate: Campeche data is updated yearly, averaging 368,337.000 Person from Dec 1980 (Median) to 2020, with 6 observations. The data reached an all-time high of 642,004.000 Person in 2020 and a record low of 195,442.000 Person in 1980. Literacy: Literate: Campeche data remains active status in CEIC and is reported by National Institute of Statistics and Geography. The data is categorized under Global Database’s Mexico – Table MX.G017: Literacy: Age 15 and Above.

Mexico Literacy: Literate: Colima data was reported at 536,784.000 Person in 2020. This records an increase from the previous number of 438,654.000 Person for 2010. Mexico Literacy: Literate: Colima data is updated yearly, averaging 304,304.500 Person from Dec 1980 (Median) to 2020, with 6 observations. The data reached an all-time high of 536,784.000 Person in 2020 and a record low of 169,129.000 Person in 1980. Mexico Literacy: Literate: Colima data remains active status in CEIC and is reported by National Institute of Statistics and Geography. The data is categorized under Global Database’s Mexico – Table MX.G017: Literacy: Age 15 and Above.

Mexico Literacy: Iliterate: Baja California Sur data was reported at 13,926.000 Person in 2020. This records a decrease from the previous number of 14,425.000 Person for 2010. Mexico Literacy: Iliterate: Baja California Sur data is updated yearly, averaging 12,069.000 Person from Dec 1980 (Median) to 2020, with 6 observations. The data reached an all-time high of 14,425.000 Person in 2010 and a record low of 9,191.000 Person in 1980. Mexico Literacy: Iliterate: Baja California Sur data remains active status in CEIC and is reported by National Institute of Statistics and Geography. The data is categorized under Global Database’s Mexico – Table MX.G017: Literacy: Age 15 and Above.

This map presents the full data available on the MLTSD GeoHub, and maps several of the key variables reflected by the Literary and Basic Skills Program of ETD.The Literacy and Basic Skills program (LBS) provides adults with the skills necessary to find employment, and is central to the government’s commitment to provide opportunities for Ontarians to build critical foundational skills (reading, writing and numeracy skills) and participate in the knowledge-based economy. The LBS program focuses on adults who live in Ontario and are unemployed, with special emphasis on people receiving income support. It is also open to employed Ontarians who need to improve their literacy and basic skills to maintain or upgrade their work skills, pursue further education or desire greater independence. The LBS program is divided into four streams, customized for Indigenous, Francophone, Deaf and Anglophone learners.

The program primarily serves adult learners who: want to improve their literacy and basic skills to achieve their goals of further education and training, employment or increased independenceare 19 years and older are able to speak and listen in English (or French) well enough to benefit fully from the program, and have been assessed as having limited literacy and basic skills.

Within the Employment Ontario service delivery framework, the LBS program is delivered through a network of service providers made up of colleges, school boards, and community-based organizations that deliver in English, French, and American Sign Language (ASL), and use culturally-sensitive learning approaches. In addition to in-person, the LBS program is also provided online through e-Channel, which uses web-based learning to enhance access to the LBS program, especially for those in rural or remote communities and persons with disabilities.

About This Data Set

This dataset contains data on LBS clients for each of the twenty-six Local Board (LB) areas in Ontario for the 2015/16 fiscal year, based on data provided to Local Boards and Local Employment Planning Councils (LEPC) in June 2016 (see below for details on Local Boards). Because E-Channel clients cannot be assigned to a particular service provider (and thus cannot be assigned to a particular Local Board area), all fields in this dataset, other than those that provide the total number of E-Channel learners, include in-person LBS clients only. These clients have been distributed across Local Board areas based on the address of the client’s Service Delivery Site.

About Local Boards

Local Boards are independent not-for-profit corporations sponsored by the Ministry of Labour, Training and Skills Development to improve the condition of the labour market in their specified region. These organizations are led by business and labour representatives, and include representation from constituencies including educators, trainers, women, Francophones, persons with disabilities, visible minorities, youth, Indigenous community members, and others. For the 2015/16 fiscal year there were twenty-six Local Boards, which collectively covered all of the province of Ontario.

The primary role of Local Boards is to help improve the conditions of their local labour market by: engaging communities in a locally-driven process to identify and respond to the key trends, opportunities and priorities that prevail in their local labour markets; facilitating a local planning process where community organizations and institutions agree to initiate and/or implement joint actions to address local labour market issues of common interest; creating opportunities for partnership development activities and projects that respond to more complex and/or pressing local labour market challenges; andorganizing events and undertaking activities that promote the importance of education, training and skills upgrading to youth, parents, employers, employed and unemployed workers, and the public in general.

In December 2015, the government of Ontario launched an eighteen-month Local Employment Planning Council pilot program, which established LEPCs in eight regions in the province formerly covered by Local Boards. LEPCs expand on the activities of existing Local Boards, leveraging additional resources and a stronger, more integrated approach to local planning and workforce development to fund community-based projects that support innovative approaches to local labour market issues, provide more accurate and detailed labour market information, and develop detailed knowledge of local service delivery beyond Employment Ontario (EO).

Eight existing Local Boards were awarded LEPC contracts that were effective as of January 1st, 2016. As such, from January 1st, 2016 to March 31st, 2016, these eight Local Boards were simultaneously Local Employment Planning Councils. The eight Local Boards awarded contracts were:Durham Workforce AuthorityPeel-Halton Workforce Development Group Workforce Development Board - Peterborough, Kawartha Lakes, Northumberland, HaliburtonOttawa Integrated Local Labour Market Planning Far Northeast Training BoarNorth Superior Workforce Planning Board Elgin Middlesex Oxford Workforce Planning & Development BoardWorkforce Windsor-Essex

MLTSD has provided Local Boards and LEPCs with demographic and outcome data for clients of Employment Ontario (EO) programs delivered by service providers across the province on an annual basis since June 2013. This was done to assist Local Boards in understanding local labour market conditions. These datasets may be used to facilitate and inform evidence-based discussions about local service issues – gaps, overlaps and under-served populations - with EO service providers and other organizations as appropriate to the local context.

Data on the following EO programs for the 2015/16 fiscal year was made available to Local Boards and LEPCs in June 2016:Employment Services (ES)Literacy and Basic Skills (LBS)Second Career (SC)Apprenticeship

This dataset contains the 2015/16 LBS data that was sent to Local Boards and LEPCs. Datasets covering past fiscal years will be released in the future.Notes

Data reporting on 5 individuals or less has been suppressed to protect the privacy of those individuals.Data published: Feb 1, 2017Publisher: Ministry of Labour, Training and Skills Development (MLTSD)Update frequency: Yearly Geographical coverage: Ontario

Mexico Literacy: Literate: Chihuahua data was reported at 2,710,836.000 Person in 2020. This records an increase from the previous number of 2,213,734.000 Person for 2010. Mexico Literacy: Literate: Chihuahua data is updated yearly, averaging 1,807,148.500 Person from Dec 1980 (Median) to 2020, with 6 observations. The data reached an all-time high of 2,710,836.000 Person in 2020 and a record low of 1,061,015.000 Person in 1980. Mexico Literacy: Literate: Chihuahua data remains active status in CEIC and is reported by National Institute of Statistics and Geography. The data is categorized under Global Database’s Mexico – Table MX.G017: Literacy: Age 15 and Above.

Mexico Literacy: Literate: Quintana Roo data was reported at 1,333,299.000 Person in 2020. This records an increase from the previous number of 864,030.000 Person for 2010. Mexico Literacy: Literate: Quintana Roo data is updated yearly, averaging 457,035.500 Person from Dec 1980 (Median) to 2020, with 6 observations. The data reached an all-time high of 1,333,299.000 Person in 2020 and a record low of 102,411.000 Person in 1980. Mexico Literacy: Literate: Quintana Roo data remains active status in CEIC and is reported by National Institute of Statistics and Geography. The data is categorized under Global Database’s Mexico – Table MX.G017: Literacy: Age 15 and Above.