Russia: Male literacy rate, ages 15-24: The latest value from 2021 is 100 percent, unchanged from 100 percent in 2010. In comparison, the world average is 94.32 percent, based on data from 58 countries. Historically, the average for Russia from 1989 to 2021 is 100 percent. The minimum value, 100 percent, was reached in 1989 while the maximum of 100 percent was recorded in 1989.

Historical dataset showing Russia literacy rate by year from 1989 to 2021.

View yearly updates and historical trends for Russia Youth Literacy Rate. Source: World Bank. Track economic data with YCharts analytics.

Graph and download economic data for Literacy Rate, Adult Total for the Russian Federation (SEADTLITRZSRUS) from 1989 to 2021 about literacy, adult, Russia, and rate.

View yearly updates and historical trends for Russia Adult Literacy Rate. Source: World Bank. Track economic data with YCharts analytics.

Russia: Female literacy rate, ages 15-24: The latest value from 2021 is 100 percent, unchanged from 100 percent in 2010. In comparison, the world average is 92.58 percent, based on data from 58 countries. Historically, the average for Russia from 1989 to 2021 is 100 percent. The minimum value, 100 percent, was reached in 1989 while the maximum of 100 percent was recorded in 1989.

The aggregate digital literacy index of Russians reached ** percent in 2023. The highest score received by Russian respondents was in information literacy, at ** percent, while the lowest performance was recorded in digital content creation.

The digital literacy index in Russia has been stable in recent years, measuring at ** points in 2024. An increase in digital literacy in 2020 was attributed to the COVID-19 pandemic, as the population developed skills to use the internet and online services during the lockdown.

In 2023, the share of rural residents with low digital skills among those aged 15 years and older in Russia was around ** percentage points higher than among urban inhabitants. In both area types, the low skill level prevailed among the population.

Abstract

The Russia Financial Literacy diagnostic survey was undertaken as part of the preparation for the World Bank supported Russia Financial literacy and Financial education program in 2008.

The survey was conducted by the National Agency for Financial Studies (NAFS) in 2008 by request of the World Bank.

The national representative survey was aimed to provide information on the initial level of financial literacy (i.e. financial planning and managing debt, attitudes to/understanding of personal responsibilities and consumer rights in the area of financial services, knowledge of financial products/services, etc.). The survey asked basic questions on features of financial behavior, attitudes to and demand for financial education of the Russian population.

Geographic coverage

National

Analysis unit

Household, Individual

Kind of data

Sample survey data [ssd]

Mode of data collection

Face-to-face [f2f]

Russia Audiobooks market forecast to grow above 10.42% CAGR from 2025 to 2030, driven by streaming platforms and rising literacy rates.

In January 2023, 61 percent of survey respondents in Russia stated that they used the internet as a news source over the past month. Four years ago, that share was measured at 13 percent lower. The most popular online news channels in the country were search engines.

This dataset is about books. It has 1 row and is filtered where the book is When Russia learned to read : literacy and popular literature, 1861-1917. It features 5 columns: author, publication date, book publisher, and BNB id.

This dataset tracks annual reading and language arts proficiency from 2011 to 2022 for Russia Elementary School vs. Ohio and Russia Local School District

Around ********** of Russian adults read books for self-development, according to a survey from 2022. Furthermore, more than half of respondents read books for entertainment.

BackgroundHealth literacy (HL) is considered to be an important precondition for health. HL research often identifies migrants as vulnerable for low HL. However, in-depth data on HL among migrants especially in its domains of health care, disease prevention and health promotion and its determinants are still scarce.ObjectiveThe aim of this study was therefore to analyse the current status of HL among migrants and their descendants from Turkey and from the former Soviet Union (FSU) in Germany and factors associated with it. This has not been studied using large-scale data and bilingual interviews. We differentiate between dimensions of HL, namely the domains of health care, disease prevention and health promotion which goes beyond many previous studies. In addition, we explore new mechanisms by testing the explanatory power of self-efficacy and interethnic contacts for migrants' HL.MethodsThe study includes 825 first- and second-generation adult migrants from two of the largest immigration groups in Germany, from Turkey and FSU, who were interviewed face-to-face in German, Turkish or Russian in late summer 2020. HL was measured using the HLS19-Q47 instrument. Age, gender, educational level, social status and financial deprivation, chronic illness, health-related literacy skills, self-efficacy, interethnic contacts, migration generation, duration of stay and region of origin were considered as possible determinants. Ordinary least square regressions were estimated.ResultsThe average general HL score was 65.5. HL in health promotion and disease prevention was lower than in health care. Low financial deprivation, health-related literacy skills, and self-efficacy were positively correlated with each HL domain. Educational level, social status, age, gender, duration of stay and interethnic contacts were positively correlated with HL in some domains. Region of origin was only correlated with the domain of disease prevention until interethnic contact was accounted for.ConclusionOur study contributes to the existing knowledge by analyzing different domains of HL and testing its correlations with self-efficacy and interethnic contact among migrants. We reveal that migrants cannot generally be considered as vulnerable for low HL, as oftentimes outlined. There is a need for interventions e.g. to enhance the understanding of health information among subgroups with lower HL.

This study investigates the influence of selected aspects of family language policies (FLPs) on language proficiency across three generations of Russian-speaking families in Germany using data from a sample of 18 families. The data were collected via questionnaires and a cloze test was used to measure proficiency in Russian. Multiple regression analysis and Dunn’s test were employed to analyze the influence of the selected components of FLP and assess differences in language proficiency between family members. The findings highlight a significant generational shift in language proficiency: parents exhibited the highest proficiency in Russian, followed by grandparents, with children showing the least proficiency and greater variation in their language skills. This pattern reflects the dynamics of language practices in families where older generations predominantly use Russian, whereas children display a greater inclination towards German or enhanced bilingualism. Additionally, this study underscores the positive influence of literacy skills in both Russian and German, reading in Russian, and a positive attitude towards maintaining cultural ties through reading on Russian language proficiency. Although attendance of Russian language lessons was positively correlated with the proficiency scores of children, the statistical models were only partially successful in accounting for their overall impact on proficiency, indicating that other unexplored factors may also play a significant role.

Abstract

The survey is the follow-up of the Diagnostic Review on Consumer Protection and Financial Literacy conducted by the World Bank in 2008-2009. The Diagnostic Review in Romania was the fourth in a World Bank-sponsored pilot program to assess consumer protection and financial literacy in developing and middle-income countries.1 The objectives of this Review were three-fold to: (1) refine a set of good practices for assessing consumer protection and financial literacy, including financial literacy; (2) conduct a review of the existing rules and practices in Romania compared to the good practices; and (3) provide recommendations on ways to improve consumer protection and financial literacy in Romania. The Diagnostic Review was prepared at the request of the National Authority for Consumers' Protection (ANPC), whose request was endorsed by the Ministry of Economy and Finance. Support was provided by the National Bank of Romania (BNR), which supervises banks and non-bank credit institutions. Further assistance was given by the supervisory commissions for securities (CNVM), insurance (CSA) and private pensions (CSSPP).

The Diagnostic Review found that the basic foundations needed for consumer protection and financial literacy are in place in Romania but they benefit from further strengthening support. The Review proposes improvements in six areas: consumer awareness, information and disclosure for consumers, professional competence, dispute resolution, financial education and financial literacy surveys.

Consequently, in 2010 the World Bank commissioned a nation-wide survey of the levels of financial literacy. A consultant (sociologist Manuela Sofia Stanculescu) developed the survey methodology (sampling methodology and questionnaire) in line with the Financial Literacy Survey in Russia (the World Bank, 2008) and the baseline survey Financial Capability in the UK (Financial Services Authority, 2005).2 The final form of the questionnaire was agreed with representatives of the National Bank of Romania (BNR), the Romanian Banking Institute (IBR), the National Authority for Consumers' Protection (ANPC), and the Financial Companies Association in Romania (ALB). The Institute for World Economy (Romanian Academy) collected the data in May 2010.

The main objective of this work is the establishment (and later the evaluation) of a well targeted national program of financial education.

Geographic coverage

National

Analysis unit

Household, individual

Universe

Non-institutionalized persons aged 18 or older

Kind of data

Sample survey data [ssd]

Sampling procedure

The sample of the survey is probabilistic, two-stage, stratified, representative at national level with an error of +/- 3% at a 95% confidence level.

The sample is based on two stratification criteria: (i) historical region (8 regions) and (ii) type of locality (7 types depending on the city size, in urban areas, and on the synthetic index of community development,4 in the rural ones).

The sample volume is 2048,5 out of which 148 cases represent a boost of persons aged 16, 17 or those had their 18th birthday after November 2009.6 Respondents were randomly selected from electoral registers corresponding to 185 voting sections (randomly selected), located in 141 localities (77 communes, 63 towns/cities and the capital Bucharest).

The sample includes a slight over-representation of men, rural respondents, and elderly particularly due to the boost of young but also to the fact that people left abroad concentrate among the 25-44 age category. Nevertheless, the sample fairly reproduces the structure (by gender, age categories and area of residence) of the country population 16+ years according to the data for 2009 provided by the National Institute for Statistics. Socio-demographic structure of the sample is presented in table 3 of the survey report.

Demographic data and data regarding the use of financial services were collected for all members of respondents? households. In the respondents? households live 5406 persons overall. This extended sample has also a slight over-representation of rural respondents and an under-representation of children (0-14 years) and persons 25-24 years (most probably young people who left abroad with children).

MORE INFORMATION ON THE SAMPLING METHODOLOGY

Sample volume: 2,200 non-institutionalized persons aged 18 or older. In addition, the sample will be boosted with 180 persons aged 16-18 years old. Overall, at least 2,000 valid questionnaires should be completed during fieldwork.

Type of the sample: Probabilistic, two-stage, stratified, representative at national level, with an error of +/- 2.8% at a 95% confidence level.

Stratification criteria: The sampling scheme is based on two stratification criteria

(a) Historical region (8 regions) (b) Type of locality, with 7 theoretical strata

i. Urban areas - 4 strata 1. very small towns under 30 thou inhabitants 2. small towns 30,001-100 thou inhabitants 3. medium cities 100,001-199 thou inhabitants 4. large cities 200 thou inhabitants or more

ii. Rural areas - 3 strata determined based on the synthetic index of community development 37 1. poor communes (the 30% communes with the lowest level of development within the country) 2. medium developed communes 3. developed communes (the 30% communes with the highest level of development within the country).

Sampling stages: The sampling scheme includes two stages.

Sampling units: There are two sampling units corresponding to the two sampling stages. In the first sampling stage, voting sections are selected and in the second stage, non-institutionalized persons aged 18 years or more.

Selection: Random selection in all sampling stages.

Sampling scheme: In the first stage the sample is distributed proportionally with the volume of population for each of the 56(= 8 x 7) theoretical strata different from zero.

The corresponding number of voting sections for each strata is determined taking into account on the one hand, the volume of each strata sub-sample (= sample size x share of total population in that strata) and, on the other hand, a minimum level of 10 questionnaires for each sampling point. The voting sections which will represent sampling points are then randomly selected based on the exhaustive national list of voting sections (the latest available from the Permanent Electoral Authority).

The sample has 188 sampling points (voting sections) of which 104 are in urban areas, and 84 are in rural localities, including the capital city.

For each sampling point is computed the number of corresponding questionnaires by dividing the strata sub-sample by the number of sampling points of that strata. In the second sampling stage, the electoral registers corresponding to the voting sections (selected as sampling points) are used as sampling frame. Non-institutionalized persons aged 18 or more are randomly selected from the electoral registers based on the mechanical step method.

In those localities where the electoral registers are not available (or the municipality do not grant access), the random route method will be used. All these cases will be specified and explained in the fieldwork report, except for Bucharest, where the random route method will be used for all voting sections, as the rate of replacement from electoral registers is high in all national representative surveys.

The electoral registers include only persons 18 years or more. Accordingly, the sample will include a boost of persons aged 16, 17 or persons that had their 18th birthday after November 2009.39 For each voting section, one person aged 16-18 years will be added. They will be selected based on the random route method.

Mode of data collection

Face-to-face [f2f]

Response rate

The overall response rate of the survey is 95.2%. More detailed information is provided in "Table 2 Response rates and quality of the sampling frame by sampling method (%) " of the survey report.

LitRes: Books and Audiobooks, the app of a Russian e-book distributor LitRes, was the most popular book reading app in Russia by downloads, at nearly *** million in 2024. It was followed by Bookmate and ReadEra.

IntroductionEarly linguistic background, and in particular, access to language, lays the foundation of future reading skills in deaf and hard-of-hearing signers. The current study aims to estimate the impact of two factors – early access to sign and/or spoken language – on reading fluency in deaf and hard-of-hearing adult Russian Sign Language speakers.MethodsIn the eye-tracking experiment, 26 deaf and 14 hard-of-hearing native Russian Sign Language speakers read 144 sentences from the Russian Sentence Corpus. Analysis of global eye-movement trajectories (scanpaths) was used to identify clusters of typical reading trajectories. The role of early access to sign and spoken language as well as vocabulary size as predictors of the more fluent reading pattern was tested.ResultsHard-of-hearing signers with early access to sign language read more fluently than those who were exposed to sign language later in life or deaf signers without access to speech sounds. No association between early access to spoken language and reading fluency was found.DiscussionOur results suggest a unique advantage for the hard-of-hearing individuals from having early access to both sign and spoken language and support the existing claims that early exposure to sign language is beneficial not only for deaf but also for hard-of-hearing children.