The statistic depicts the literacy rate in Mexico from 2008 to 2020. The literacy rate measures the percentage of people ages 15 and above who can read and write. In 2020, Mexico's literacy rate was around 95.25 percent. The source does not provide data for 2019.Education in MexicoThe literacy rate is commonly defined as the share of people in a country who are older than 15 years and are able to read and write. In Mexico, a state with more than 115 million inhabitants, the literacy rate is above 90 percent, making it significantly higher than the global average. More than 70 percent of Mexico’s population is older than 15 years, a figure than has been quite consistent over the last ten years. Mexico’s compulsory education comprises grades 1 to 9, with an optional secondary education up to grade 12. Literacy is considered basic education. The lowest literacy rates can be found in African countries, the highest in Europe. Additionally, the literacy rate is one of the factors that determines a country’s ranking on the Human Development Index of the United Nations, which ranks the overall well-being of a country’s population. Apart from literacy, it also includes factors such as per-capita income, health and life expectancy and others. Mexico is currently not among the countries with the highest Human Development Index value.

A simple dataset for states in the USA, including Washington DC, showing the average literacy rates along with population estimates for 2017. The national average for literacy is 264.

The USAFacts dataset contains the average literacy scores for the years 2012-2017, therefore I decided to use the estimate for the 2017 population from the Census data. I believe this is a decent snapshot in time for comparing literacy to population, looking for any correlations.

Original Sources 1. USAFacts How does literacy vary by state and county? 2. US Census Bureau: State Population Totals and Components of Change: 2010-2019

United States - Literacy Rate, Adult Total for Least Developed Countries was 67.71457 % of People Ages 15 and Above in January of 2023, according to the United States Federal Reserve. Historically, United States - Literacy Rate, Adult Total for Least Developed Countries reached a record high of 67.71457 in January of 2023 and a record low of 40.17880 in January of 1981. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Literacy Rate, Adult Total for Least Developed Countries - last updated from the United States Federal Reserve on December of 2025.

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.

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.

Literacy Rate, Adult Total for Low and Middle Income Countries was 85.17915 % of People Ages 15 and Above in January of 2023, according to the United States Federal Reserve. Historically, Literacy Rate, Adult Total for Low and Middle Income Countries reached a record high of 85.17915 in January of 2023 and a record low of 59.01323 in January of 1975. Trading Economics provides the current actual value, an historical data chart and related indicators for Literacy Rate, Adult Total for Low and Middle Income Countries - last updated from the United States Federal Reserve on November of 2025.

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

United States - Literacy Rate, Adult Total for Other Small States was 86.25975 % of People Ages 15 and Above in January of 2023, according to the United States Federal Reserve. Historically, United States - Literacy Rate, Adult Total for Other Small States reached a record high of 86.25975 in January of 2023 and a record low of 71.82288 in January of 1983. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Literacy Rate, Adult Total for Other Small States - last updated from the United States Federal Reserve on November of 2025.

The highest literacy rates in Nigeria were registered in the southern regions of the country. In the South West, 89 percent of males and 80.6 percent of females were literate as of 2018. Also, the south zones showed the lowest percentage differences between male and female literacy. Female literacy rate in Nigeria is among the highest in West Africa. The highest female literacy rates were registered in Cabo Verde and Ghana, while Nigeria ranked third.

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.

The statistic displays the main states and union territories in India with the highest number of illiterate people in 2011. In that year, Uttar Pradesh was at the top of the list, with more than ** million illiterate people, followed by the state of Bihar with over ** million people.

The literacy rate among females living in rural areas in Karnataka was around 60 percent in 2011. The literacy rate among males was higher than females in the state. Literacy rate disparity
Low literacy rates among rural areas of the country are mainly due to a lack of adequate facilities for education. The presence of a school in the vicinity does not guarantee the availability of resources in terms of functional toilets and access to drinking water. Even though there is free and compulsory education for children below 14 years, the necessity of money pars educational needs in many rural areas. Leading district with colleges
The urban district of the capital city of Bengaluru, Karnataka, had about 880 colleges as of 2019. Bengaluru is known for its wide range of national, international, and professional levels of education. The city, as a hub for various companies and industries, is promising for graduates and a popular destination for students.

As of 2019, women in Nigeria represented ** percent of the total enrollments in adult and basic literacy education in the country. According to the source, Kebbi State had the lowest share of female enrollment.

BackgroundDigital literacy refers to the capacity to critically assess digital content, use digital tools in professional settings, and operate digital devices with proficiency. The healthcare sector has rapidly digitized in the last few decades. This systematic review and meta-analysis aimed to assess the digital literacy level of health professionals in the Ethiopian health sector and identify associated factors. The study reviewed relevant literature and analyzed the data to provide a comprehensive understanding of the current state of digital literacy among health professionals in Ethiopia.MethodsThe study was examined by using the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) criteria. Evidence was gathered from the databases of Google Scholar, Pub Med, Cochrane Library, Hinari, CINAHL, and Global Health. Consequently, five articles met the eligible criteria for inclusion. The analysis was carried out using STATA version 11. The heterogeneity was evaluated using the I2 test, while the funnel plot and Egger’s regression test statistic were used to examine for potential publication bias. The pooled effect size of each trial is evaluated using a random effect model meta-analysis, which provides a 95% confidence interval.ResultA total of five articles were included in this meta-analysis and the overall pooled prevalence of this study was 49.85% (95% CI: 37.22–62.47). six variables, Monthly incomes AOR = 3.89 (95% CI: 1.03–14.66), computer literacy 2.93 (95% CI: 1.27–6.74), perceived usefulness 1.68 (95% CI: 1.59–4.52), educational status 2.56 (95% CI: 1.59–4.13), attitude 2.23 (95% CI: 1.49–3.35), perceived ease of use 2.22 (95% CI: 1.52–3.23) were significantly associated with the outcome variable.ConclusionThe findings of the study revealed that the overall digital literacy level among health professionals in Ethiopia was relatively low. The study highlights the importance of addressing the digital literacy gap among health professionals in Ethiopia. It suggests the need for targeted interventions, such as increasing monthly incomes, giving computer training, creating a positive attitude, and educational initiatives, to enhance digital literacy skills among health professionals. By improving digital literacy, health professionals can effectively utilize digital technologies and contribute to the advancement of healthcare services in Ethiopia.

This dataset shows the Proportion of children in grades 2/3 achieving at least a minimum proficiency level in reading and mathematics by state and sex, Malaysia, 2016-2018 footnotes: Refers to LINUS Data updated by PADU (2016-2018). LINUS has been stopped starting 2019 PADU refers to Education Perfomance and Delivery Unit, Ministry of Education Malaysia LINUS refers to Literacy and Numeracy Programme under the Ministry of Education Malaysia Sources: Ministry of Education Malaysia No. of Views : 46

Abstract

Economy of Papua New Guinea had been in a state of recession since the mid-1990s. The fiscal situation had been compromised by large deficits. Pertinent questions about how effectively social spending was translating into the actual delivery of services had been raised.

The Public Expenditure and Service Delivery Survey (PESD) was conducted in February-August 2002 to study resources flow in education and health sectors. The PESD was launched by the World Bank as part of the Bank's analytical work on poverty in Papua New Guinea, in close cooperation with the country's government and the Australian Agency for International Development.

The main focus of the project was on expenditure in education. The health facility survey was not intended to be a full service delivery survey in order to keep the field operations and costs within manageable limits. It was added as a rider to the school survey. Health facilities that could be reached within 20 minutes from the sample schools were covered. Against a sample of 214 schools, the survey covered 117 health facilities. A short instrument collected information on how often the facilities were open, the presence of staff, and the availability of key medicines.

The PESD education sector survey covered 214 schools in 19 districts across 8 provinces (out of 20), with two provinces selected in each of the four main regions.

Geographic coverage

Regions: Gulf, National Capital District (NCD), Enga, Eastern Highlands, West Sepik (Sandaun), Morobe, West New Britain and East New Britain.

Analysis unit

• Health facilities

Kind of data

Sample survey data [ssd]

Sampling procedure

Health facilities that could be reached within 20 minutes from the sample schools were covered. Against a sample of 214 schools, 117 health facilities were selected.

Below is the discription of how the schools sample was selected:

1) Following regions were covered: Gulf, National Capital District (NCD), Enga, Eastern Highlands, West Sepik (Sandaun), Morobe, West New Britain, East New Britain. These provinces cover a wide spectrum both in terms of poverty levels and educational development. They range from the relatively rich (NCD and Gulf with headcounts of 19 and 28%) to the poor Sandaun (headcount of over 60%), from the well-educated (NCD and East New Britain with adult literacy rates of 84 and 74%) to poorly-educated (Enga and Eastern Highlands with adult literacy rates of 26 and 38%), from those with high primary enrolment (NCD and ENB) to those with low enrolment (Enga, Gulf and Sandaun), from those with high grade 1-8 retention rates (NCD with 79%) to those with low retention rates (Eastern Highlands and Sandaun with just above 20%).

2) Three districts were randomly selected within provinces with probability proportional to the number of schools in the district. In two of the provinces, Gulf and West New Britain, that only had two districts, both were selected. Ten schools were then selected randomly within each district. In NCD, which does not have districts but is organized by wards/census enumeration areas, 30 schools were randomly selected.

3) The original sample included 220 schools. Many of the schools in the original sample could not be covered for a variety of reasons. In these cases, replacement schools (randomly selected from the same district) were used. A special effort was made to ensure coverage of remote schools. In particular, some sites were revisited later to cover schools that could not be surveyed during the first attempt due to logistical difficulties. The final sample included 214 schools.

4) The PESD schools were further classified by the level of poverty and remoteness. The level of poverty was measured by the estimated poverty rate for the LLG where the school was located, and the remoteness index was based on a composite measure of distance and travel time from the school to a range of facilities. The PESD sample of schools was well distributed across the remoteness and poverty spectrum.

Mode of data collection

Face-to-face [f2f]

BackgroundHealth literacy (HL) is the set of social and cognitive skills that determine person’s level of motivation and the ability to access, understand and use information to promote and maintain good health. The aim of this study is to assess the level of health literacy, and to analyze its relationship with sociodemographic variables, state of health, and use of health services in the population aged 15 and over in the Valencian Community (Spain).MethodsCross-sectional study based on a sample of 5,485 subjects participating in the Health Survey of the Valencia Community. The HLS-EU-Q16 was used. As outcome variables we considered HL categorized into 2 levels: Inadequate or Problematic HL and Sufficient HL and the standardized literacy index. Prevalence rates and HL means were estimated and OR were calculated to analyze the association between variables.ResultsA total of 12.8% of the subjects surveyed presented an inadequate or problematic degree of HL. This percentage was higher in people >85 years (63.1%), with a low level of education (46.5%), in retired people (27.4%) or in other work situations (25.0%), in foreigners (18.1%), in low-income people (16.2%), with a perception of poor health status (26.9%), chronic disease (18.5%) or with activity limitations (56.4% severe, 19.7% not severe). Significant differences were found. With the exception of chronic disease, all the variables analyzed were associated with HL. Low HL was associated with a lower consumption of medicines, a greater use of health services, general medical consultations, poorer knowledge of new health technologies and fewer preventive health visits.ConclusionThe percentage of inadequate or problematic HL was globally not very high, but certain population subgroups notably presented a high degree of inadequate or problematic HL. Raising the HL level of such groups should be regarded as a priority. HL was shown to be associated with the service use and new health technology use. Enhancing the population’s HL should lead to the following: a greater probability of adopting preventive practices; improving the use of the health system; and boosting people’s abilities to manage and to improve their own health.

Abstract This study aimed to investigate the association between Oral Health Literacy (OHL) and dental outcomes. A sample of 920 adults above 18 years of age living in areas covered by 10 Family Health Units (FHUs) in a large city in São Paulo state, Brazil, was included. OHL was assessed using the short-form Health Literacy in Dentistry Scale (HeLD-14). Data on sociodemographic factors, oral health, and general health were obtained through a structured questionnaire. The investigated outcomes “tooth loss” and “reason for the last dental appointment” were evaluated using self-reported data. Simple logistic regression models were used to analyze the associations between each independent factor and outcomes. Factors that presented a significance level of ≤0.20 in the bivariate analysis were included in the hierarchical multiple logistic regression models. Participants with an education level up to high school, low OHL, and poor/fair self-rated oral health had 1.35 (95%CI, 1.01-1.80), 1.48 (95%CI, 1.12-1.95), and 1.46 (95%CI, 1.11-1.92) times more probability to report missing teeth, respectively. Adults from families with lower monthly income, low OHL, and poor/fair self-rated oral health had 1.70 (95%CI, 1.29-2.26), 1.89 (95%CI, 1.42-2.51), and 1.73 (95%CI, 1.30-2.30) times more chance, respectively, to have gone to the last dental appointment due to pain or caries. Adults with low OHL levels are more likely to have missing teeth and have gone to the last dental visit for pain, reinforcing the importance of OHL as an important determinant for promoting oral health.

The Evaluation of Child Care Subsidy Strategies is a multi-site, multi-year effort to determine whether and how different child care subsidy policies and procedures and quality improvement efforts help low-income parents obtain and hold onto jobs and improve outcomes for children. Funding from the Child Care and Development Fund (CCDF) administered by the Child Care Bureau are divided into two purposes. The vast majority are aimed at assisting children of low-income working parents whose eligibility is determined by states within broad federal guidelines, while a much smaller portion (4 percent) work with state matching funds to improve the quality of child care for all children. For this studies series, four experiments were conducted, two test alternative subsidy policies for low-income families and two test approaches to the use of set-aside funds for improving child care quality for all children. The four study sites and focus of evaluation include: (1) effectiveness of three language and literacy curricula on teaching practices and children's language and literacy outcomes (Miami-Dade County, Florida); (2) impact of alternative eligibility and re-determination child care subsidy policies on parental employment outcomes (Illinois); (3) impact of alternative child care co-payment structures on use of child care subsidies and employment outcomes (Washington) and (4) effectiveness of training on Learning Games curriculum in changing care-giving practices in family child care homes and children's developmental outcomes (Massachusetts). A two-year experiment, Project Upgrade tests the effectiveness of three different language and literacy interventions, Ready, Set, Leap! (RSL!), Breakthrough to Literacy (BTL) and Building Early Language and Literacy (BELL) implemented in child care centers in Miami-Dade County, Florida, that served children from low-income families. One hundred and sixty-two centers were randomly assigned to one of three research-based curricula or to a control group that continued with its existing program. The curricula, while grounded in a common set of research findings, differed in intensity, pedagogic strategies, and use of technology. In each center, one classroom that served four-year-old children was selected for the study. Teachers and aides assigned to the three treatment groups received initial and follow-up training as well as ongoing mentoring over a period of approximately 18 months, from Fall 2003 to Spring 2005. The study tested two kinds of outcomes: teacher behavior and interactions with children, and aspects of the classroom environment that support children's language and literacy development, measured through direct observation; and children's language and pre-literacy skills, measured by their performance on a standardized assessment. To determine whether the interventions that had produced significant outcomes at the end of preschool had any lasting positive effects on early school performance, mathematics and reading follow-up assessments were done in the spring of the 2007/2008 and 2008/2009 school years. Of the 1,535 children assessed in the original Florida Upgrade study, follow-up measurements were taken on 1,137 children (74 percent). Also obtained were follow-up measurements on 127 children who were in the study centers in the original randomized design, but who were not present at the time of the initial child assessments.

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.