Zimbabwe ZW: Literacy Rate: Youth: % of People Age 15-24 data was reported at 90.428 % in 2014. This records a decrease from the previous number of 90.931 % for 2011. Zimbabwe ZW: Literacy Rate: Youth: % of People Age 15-24 data is updated yearly, averaging 90.679 % from Dec 1982 (Median) to 2014, with 4 observations. The data reached an all-time high of 95.411 % in 1992 and a record low of 89.022 % in 1982. Zimbabwe ZW: Literacy Rate: Youth: % of People Age 15-24 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Zimbabwe – Table ZW.World Bank: Education Statistics. Youth literacy rate is the percentage of people ages 15-24 who can both read and write with understanding a short simple statement about their everyday life.; ; UNESCO Institute for Statistics; Weighted average; Each economy is classified based on the classification of World Bank Group's fiscal year 2018 (July 1, 2017-June 30, 2018).

Graph and download economic data for Literacy Rate, Adult Total for Zimbabwe (SEADTLITRZSZWE) from 1982 to 2022 about Zimbabwe, literacy, adult, and rate.

Zimbabwe ZW: Literacy Rate: Adult Female: % of Females Aged 15 and Above data was reported at 88.284 % in 2014. This records an increase from the previous number of 80.066 % for 2011. Zimbabwe ZW: Literacy Rate: Adult Female: % of Females Aged 15 and Above data is updated yearly, averaging 79.291 % from Dec 1982 (Median) to 2014, with 4 observations. The data reached an all-time high of 88.284 % in 2014 and a record low of 71.854 % in 1982. Zimbabwe ZW: Literacy Rate: Adult Female: % of Females Aged 15 and Above data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Zimbabwe – Table ZW.World Bank: Education Statistics. Adult literacy rate is the percentage of people ages 15 and above who can both read and write with understanding a short simple statement about their everyday life.; ; UNESCO Institute for Statistics; Weighted average; Each economy is classified based on the classification of World Bank Group's fiscal year 2018 (July 1, 2017-June 30, 2018).

Adult literacy rate of Zimbabwe dipped by 3.62% from 93.23 % in 2019 to 89.85 % in 2022. Since the 6.11% surge in 2014, adult literacy rate rose by 1.30% in 2022. Adult literacy rate is the percentage of people ages 15 and above who can, with understanding, read and write a short, simple statement on their everyday life.

Zimbabwe ZW: Literacy Rate: Adult Male: % of Males Aged 15 and Above data was reported at 89.185 % in 2014. This records an increase from the previous number of 87.765 % for 2011. Zimbabwe ZW: Literacy Rate: Adult Male: % of Males Aged 15 and Above data is updated yearly, averaging 88.329 % from Dec 1982 (Median) to 2014, with 4 observations. The data reached an all-time high of 89.185 % in 2014 and a record low of 84.175 % in 1982. Zimbabwe ZW: Literacy Rate: Adult Male: % of Males Aged 15 and Above data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Zimbabwe – Table ZW.World Bank: Education Statistics. Adult literacy rate is the percentage of people ages 15 and above who can both read and write with understanding a short simple statement about their everyday life.; ; UNESCO Institute for Statistics; Weighted average; Each economy is classified based on the classification of World Bank Group's fiscal year 2018 (July 1, 2017-June 30, 2018).

89.8 (%) in 2022. Adult (15+) literacy rate (%). Total is the percentage of the population age 15 and above who can, with understanding, read and write a short, simple statement on their everyday life. Generally, ‘literacy’ also encompasses ‘numeracy’, the ability to make simple arithmetic calculations. This indicator is calculated by dividing the number of literates aged 15 years and over by the corresponding age group population and multiplying the result by 100.

Zimbabwe ZW: Literacy Rate: Youth Female: % of Females Aged 15-24 data was reported at 93.188 % in 2014. This records an increase from the previous number of 92.125 % for 2011. Zimbabwe ZW: Literacy Rate: Youth Female: % of Females Aged 15-24 data is updated yearly, averaging 92.656 % from Dec 1982 (Median) to 2014, with 4 observations. The data reached an all-time high of 94.353 % in 1992 and a record low of 84.812 % in 1982. Zimbabwe ZW: Literacy Rate: Youth Female: % of Females Aged 15-24 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Zimbabwe – Table ZW.World Bank: Education Statistics. Youth literacy rate is the percentage of people ages 15-24 who can both read and write with understanding a short simple statement about their everyday life.; ; UNESCO Institute for Statistics; Weighted average; Each economy is classified based on the classification of World Bank Group's fiscal year 2018 (July 1, 2017-June 30, 2018).

Zimbabwe: Female literacy rate, ages 15-24: Pour cet indicateur, UNESCO fournit des données pour la Zimbabwe de 1982 à 2022. La valeur moyenne pour Zimbabwe pendant cette période était de 92.7 pour cent avec un minimum de 85 pour cent en 1982 et un maximum de 95.65 pour cent en 2009.

Zimbabwe ZW: Literacy Rate: Youth Male: % of Males Aged 15-24 data was reported at 87.592 % in 2014. This records a decrease from the previous number of 89.591 % for 2011. Zimbabwe ZW: Literacy Rate: Youth Male: % of Males Aged 15-24 data is updated yearly, averaging 91.709 % from Dec 1982 (Median) to 2014, with 4 observations. The data reached an all-time high of 96.541 % in 1992 and a record low of 87.592 % in 2014. Zimbabwe ZW: Literacy Rate: Youth Male: % of Males Aged 15-24 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Zimbabwe – Table ZW.World Bank: Education Statistics. Youth literacy rate is the percentage of people ages 15-24 who can both read and write with understanding a short simple statement about their everyday life.; ; UNESCO Institute for Statistics; Weighted average; Each economy is classified based on the classification of World Bank Group's fiscal year 2018 (July 1, 2017-June 30, 2018).

In 2023, the rate of adult literacy as share of the country's population 15 years and above in Sub-Saharan Africa remained nearly unchanged at around 68.2 percent. Still, the rate of adult literacy reached its highest value in the observed period in 2023. The adult literacy rate refers to the share of individuals aged 15 years and older who can read and write as well as understand simple expressions about their daily lives.

Zimbabwe ZW: Gender Parity Index (GPI): Literacy Rate: Youth Aged 15-24 data was reported at 1.064 Ratio in 2014. This records an increase from the previous number of 1.028 Ratio for 2011. Zimbabwe ZW: Gender Parity Index (GPI): Literacy Rate: Youth Aged 15-24 data is updated yearly, averaging 1.003 Ratio from Dec 1982 (Median) to 2014, with 4 observations. The data reached an all-time high of 1.064 Ratio in 2014 and a record low of 0.904 Ratio in 1982. Zimbabwe ZW: Gender Parity Index (GPI): Literacy Rate: Youth Aged 15-24 data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Zimbabwe – Table ZW.World Bank: Education Statistics. Gender parity index for youth literacy rate is the ratio of females to males ages 15-24 who can both read and write with understanding a short simple statement about their everyday life.; ; UNESCO Institute for Statistics; Weighted average; Each economy is classified based on the classification of World Bank Group's fiscal year 2018 (July 1, 2017-June 30, 2018).

Zimbabwe: Male literacy rate, ages 15-24: Pour cet indicateur, UNESCO fournit des données pour la Zimbabwe de 1982 à 2022. La valeur moyenne pour Zimbabwe pendant cette période était de 90.95 pour cent avec un minimum de 86.75 pour cent en 2022 et un maximum de 97 pour cent en 1992.

97,00 (%) in 2014.

96,80 (%) in 2014.

Abstract

The Southern Africa Consortium for Monitoring Educational Quality (SACMEQ) is a consortium of Ministries of Education and Culture located in the Southern Africa subregion. This consortium works in close partnership with the International Institute for Educational Planning (IIEP). SACMEQ’s main aim is to undertake co-operative educational policy research in order to generate information that can be used by decision-makers to plan the quality of education. SACMEQ’s programme of educational policy research has four features which have optimized its contributions to the field of educational planning: (1) it provides research-based policy advice concerning high-priority educational quality issues that have been identified by key decision-makers in Southern Africa, (2) it functions as a co-operative venture based on a strong network of Ministries of Education and Culture, (3) it combines research and training components that are linked with institutional capacity building, and its future directions are defined by participating ministries. In each participating country, a National Research Co-ordinator is responsible for implementing SACMEQ’s projects.

The SACMEQ I Project commenced in 1995 and was completed in 1999. The SACMEQ I main data collection was implemented in seven SACMEQ Ministries of Education (Kenya, Mauritius, Malawi, Namibia, Zambia, Zanzibar, and Zimbabwe). The study provided "agendas for government action" concerning: educational inputs to schools, benchmark standards for educational provision, equity in the allocation of educational resources, and the reading literacy performance of Grade 6 learners. The data collection for this project included information gathered from around 20,000 learners; 3,000 teachers; and 1,000 school principals.

This co-operative sub-regional educational research project collected data in order to guide decisionmaking in these countries with respect to questions around high priority policy issues. These included: • What are the baseline data for selected inputs to primary schools? • How do the conditions of primary schooling compare with the Ministry of Education and Culture’s own bench-mark standards? • Have educational inputs to schools been allocated in an equitable fashion? • What is the basic literacy level among pupils in upper primary school? • Which educational inputs to primary schools have most impact on pupil reading achievement at the upper primary level?

In 1995 there were five fully active members of SACMEQ: Mauritius, Namibia, Zambia, Tanzania (Zanzibar), and Zimbabwe. These Ministries of Education and Culture participated in all phases of SACMEQ’s establishment and its initial educational policy research project. There are also four partially active members of SACMEQ: Kenya, Tanzania (Mainland), Malawi, and Swaziland. These Ministries of Education and Culture have made contributions to the preparation of the Project Plan for SACMEQ’s initial educational policy research project. Three other countries (Botswana, Lesotho, and South Africa) had observer status due to their involvement in SACMEQ related training workshops or their participation in some elements of the preparation of the first proposal for launching SACMEQ.

Geographic coverage

National coverage.

Analysis unit

• Pupils
• Schools
• Teachers

Universe

The target population for SACMEQ's Initial Project was defined as "all pupils at the Grade 6 level in 1995 who were attending registered government or non-government schools". Grade 6 was chosen because it was the grade level where the basics of reading literacy were expected to have been acquired.

Kind of data

Sample survey data [ssd]

Sampling procedure

A stratified two-stage sample design was used to select around 150 schools in each country. Pupils were then selected within these schools by drawing simple random samples. A more detailed explanation of the sampling process is available under the 'Sampling' section of the report provided as external resources.

All sample designs applied in the study were selected so as to meet the standards set down by the International Association for the Evaluation of Educational Achievement (Ross, 1991). These standards required (a) a response rate of at least 90 percent for schools and, where necessary, sampling weights to be calculated to remove the potential for bias that may arise from different probabilities of selection, and (b) to have sampling errors that allow generalizations to be made from the sample to the total learner population with a 95 percent certainty of being correct within plus or minus 5 percent for a percentage, and one tenth of a learner standard deviation unit for a mean.

The desired target population in Namibia was 'all learners at the Grade 6 level in 1995 at the eighth month of the school year who were attending government or registered private schools in the country'. The sample had to be selected early in 1995 at a stage when no information was available on 1995 enrolments. Schools were thus selected on the basis of their August 1994 Grade 6 enrolments. It was decided to exclude two very remote schools which were not typical (Oranjemund Private School and Gam Primary School), the Eluwa school for deaf and blind children, and schools which had fewer than 10 learners in Grade 6 in 1994. The schools with very low Grade 6 enrolment were excluded to avoid the complications of having to create groups of 20 learners by clustering several schools into 'pseudo schools'. The percentage of learners thus excluded was very small, while the number of excluded schools was 37 out of 708 schools; these schools accounted for only 0.7 percent of learners in the desired population. Schools were stratified by education region. A division into urban and rural would have required a subjective classification. There are relatively few private schools in Namibia, of which many are staffed by government, and hence the distinction between private and government schools was not made. The resultant numbers of schools and learners in each of the education regions have been given in Table 2.2 of the Survey Report provided as external resources.

From the defined population a probability sample of schools was drawn, with the probability being proportional to a school's 1994 enrolment in Grade 6. A minimum of 20 schools was chosen in each education region to ensure that the regional population mean scores would be estimated within +5 percent with a 95 percent probability. Sampling weights were applied in the final analysis to adjust the results in such a way as to adjust for different probabilities of selection which included adjustments for the different sizes of the regions. Corrections were also made for data missing as a result of, for example, absenteeism. The national sample included 158 schools, of which two very large schools each represented a learner enrolment equivalent to two schools, thus bringing the number of 'schools' to 160.As already stated, the first stage of sampling involved selecting schools with a probability proportional to the number of learners who were members of the defined target population.To achieve this, a 'random start - constant interval' procedure (Ross, 1992) was applied. In one region, Rundu, there were schools with the number of Grade 6 learners exceeding the 'constant interval', and therefore each of these schools was randomly divided into smaller 'pseudo schools' before the commencement of the actual sampling.

Sampling deviation

In each school selected at the first stage of sampling, two Grade 6 classes were randomly selected with a probability proportional to the number of learners in each class if the school had more than one class, otherwise the single class was included in the sample. Out of each of these classes, 20 learners were randomly selected to avoid overcrowding during the test administration and because the accuracy of sampling does not increase significantly if more learners are tested. This procedure deviated from the technique applied by the other SACMEQ countries, which randomly selected 20 learners out of all Grade 6 learners in each selected school. Namibia had chosen this procedure as it intended to undertake a multi-level analysis (the levels being learner, class, and school) and thus had to test a sufficient number of learners in each class represented in the sample. This, however, implied that where there were more than two classes in Grade 6 in a school, then the within-school variance might be either overestimated or underestimated because there was the possibility of streaming within schools. The planned sample size and the actual number of learners tested have been shown in Table 2.3.of the Survey Report provided as external resources. Between zero percent and 1.7 percent of the differences between planned and achieved learners can be ascribed to small schools in the sample, with less than 20 Grade 6 enrolments; the rest of the differences resulted from learner absenteeism on the day of testing.

Mode of data collection

Face-to-face [f2f]

Research instrument

The data collection for SACMEQ's Initial Project took place in October 1995 and involved the administration of questionnaires to pupils, teachers, and school heads. The pupil questionnaire contained questions about the pupils' home backgrounds and their school life; the teacher questionnaire asked about classrooms, teaching practices, working conditions, and teacher housing; and the school head questionnaire collected information about teachers, enrolments, buildings, facilities, and management. A reading literacy test was also given to the pupils. The

Abstract

The Southern Africa Consortium for Monitoring Educational Quality (SACMEQ) is a consortium of Ministries of Education and Culture located in the Southern Africa subregion. This consortium works in close partnership with the International Institute for Educational Planning (IIEP). SACMEQ’s main aim is to undertake co-operative educational policy research in order to generate information that can be used by decision-makers to plan the quality of education. SACMEQ’s programme of educational policy research has four features which have optimized its contributions to the field of educational planning: (1) it provides research-based policy advice concerning high-priority educational quality issues that have been identified by key decision-makers in Southern Africa, (2) it functions as a co-operative venture based on a strong network of Ministries of Education and Culture, (3) it combines research and training components that are linked with institutional capacity building, and ? its future directions are defined by participating ministries. In each participating country, a National Research Co-ordinator is responsible for implementing SACMEQ’s projects.

SACMEQ’S Initial Project commenced in February 1995. During 1995-1998 seven Ministries of Education participated in the Project, in Kenya, Malawi, Mauritius, Namibia, Zambia, Tanzania (Zanzibar), and Zimbabwe.This co-operative sub-regional educational research project collected data in order to guide decisionmaking in these countries with respect to questions around high priority policy issues. These included: • What are the baseline data for selected inputs to primary schools? • How do the conditions of primary schooling compare with the Ministry of Education and Culture’s own bench-mark standards? • Have educational inputs to schools been allocated in an equitable fashion? • What is the basic literacy level among pupils in upper primary school? • Which educational inputs to primary schools have most impact on pupil reading achievement at the upper primary level?

In 1995 there were five fully active members of SACMEQ: Mauritius, Namibia, Zambia, Tanzania (Zanzibar), and Zimbabwe. These Ministries of Education and Culture participated in all phases of SACMEQ’s establishment and its initial educational policy research project. There are also four partially active members of SACMEQ: Kenya, Tanzania (Mainland), Malawi, and Swaziland. These Ministries of Education and Culture have made contributions to the preparation of the Project Plan for SACMEQ’s initial educational policy research project. Three other countries (Botswana, Lesotho, and South Africa) had observer status due to their involvement in SACMEQ related training workshops or their participation in some elements of the preparation of the first proposal for launching SACMEQ.

Geographic coverage

The surveys had national coverage of the countries participating in the project, which include Kenya, Malawi, Mauritius, Namibia, Zambia, Tanzania (Zanzibar), and Zimbabwe.

Analysis unit

Units of analysis in the survey included schools and individuals

Universe

The target population for SACMEQ's Initial Project was defined as "all pupils at the Grade 6 level in 1995 who were attending registered government or non-government schools". Grade 6 was chosen because it was the grade level where the basics of reading literacy were expected to have been acquired.

Kind of data

Sample survey data [ssd]

Sampling procedure

A stratified two-stage sample design was used to select around 150 schools in each country. Pupils were then selected within these schools by drawing simple random samples.

Mode of data collection

Face-to-face [f2f]

Research instrument

The data collection for SACMEQ’s Initial Project took place in October 1995 and involved the administration of questionnaires to pupils, teachers, and school heads. The pupil questionnaire contained questions about the pupils’ home backgrounds and their school life; the teacher questionnaire asked about classrooms, teaching practices, working conditions, and teacher housing; and the school head questionnaire collected information about teachers, enrolments, buildings, facilities, and management. A reading literacy test was also given to the pupils. The test was based on items that were selected after a trial-testing programme had been completed.

In 2024, Sudan was ranked as the most miserable country in the world, with a misery index score of 374.8. Argentina ranked second with an index score of 195.9. Quality of life around the worldThe misery index was created by the economist Arthur Okun in the 1960s. The index is calculated by adding the unemployment rate, the lending rate and the inflation rate minus percent change of GDP per capita. Another famous tool used for the comparison of development of countries around the world is the Human Development Index, which takes into account such factors as life expectancy at birth, literacy rate, education level and gross national income (GNI) per capita. Better economic conditions correlate with higher quality of life Economic conditions affect the life expectancy, which is much higher in the wealthiest regions. With a life expectancy of 85 years, Liechtenstein led the ranking of countries with the highest life expectancy in 2023. On the other hand, Nigeria was the country with the lowest life expectancy, where men were expected to live 55 years as of 2024. The Global Liveability Index ranks the quality of life in cities around the world, basing on political, social, economic and environmental aspects, such as personal safety and health, education and transport services and other public services. In 2024, Vienna was ranked as the city with the highest quality of life worldwide.

ZW：非文盲率：成年人：占15岁及以上人群百分比在12-01-2014达88.693%，相较于12-01-2011的83.583%有所增长。ZW：非文盲率：成年人：占15岁及以上人群百分比数据按年更新，12-01-1982至12-01-2014期间平均值为83.548%，共4份观测结果。该数据的历史最高值出现于12-01-2014，达88.693%，而历史最低值则出现于12-01-1982，为77.794%。CEIC提供的ZW：非文盲率：成年人：占15岁及以上人群百分比数据处于定期更新的状态，数据来源于World Bank，数据归类于Global Database的津巴布韦 – 表 ZW.世界银行：教育统计。

The Southern Africa Consortium for Monitoring Educational Quality (SACMEQ) is a consortium of Ministries of Education and Culture located in the Southern Africa subregion. This consortium works in close partnership with the International Institute for Educational Planning (IIEP). SACMEQ’s main aim is to undertake co-operative educational policy research in order to generate information that can be used by decision-makers to plan the quality of education. SACMEQ’s programme of educational policy research has four features which have optimized its contributions to the field of educational planning: (1) it provides research-based policy advice concerning high-priority educational quality issues that have been identified by key decision-makers in Southern Africa, (2) it functions as a co-operative venture based on a strong network of Ministries of Education and Culture, (3) it combines research and training components that are linked with institutional capacity building, and ? its future directions are defined by participating ministries. In each participating country, a National Research Co-ordinator is responsible for implementing SACMEQ’s projects. SACMEQ’S Initial Project commenced in February 1995. During 1995-1998 seven Ministries of Education participated in the Project, in Kenya, Malawi, Mauritius, Namibia, Zambia, Tanzania (Zanzibar), and Zimbabwe.This co-operative sub-regional educational research project collected data in order to guide decisionmaking in these countries with respect to questions around high priority policy issues. These included: • What are the baseline data for selected inputs to primary schools? • How do the conditions of primary schooling compare with the Ministry of Education and Culture’s own bench-mark standards? • Have educational inputs to schools been allocated in an equitable fashion? • What is the basic literacy level among pupils in upper primary school? • Which educational inputs to primary schools have most impact on pupil reading achievement at the upper primary level? In 1995 there were five fully active members of SACMEQ: Mauritius, Namibia, Zambia, Tanzania (Zanzibar), and Zimbabwe. These Ministries of Education and Culture participated in all phases of SACMEQ’s establishment and its initial educational policy research project. There are also four partially active members of SACMEQ: Kenya, Tanzania (Mainland), Malawi, and Swaziland. These Ministries of Education and Culture have made contributions to the preparation of the Project Plan for SACMEQ’s initial educational policy research project. Three other countries (Botswana, Lesotho, and South Africa) had observer status due to their involvement in SACMEQ related training workshops or their participation in some elements of the preparation of the first proposal for launching SACMEQ.