The literacy rate measures the percentage of people aged 15 and above who are able to read and write. In 2019, Pakistan's total literacy rate was around 58 percent, with less than 46.49 percent of women being literate and more than 69.29 percent of men.

Women in Pakistan need education

In Pakistan, women’s education is in dire need of improvement, and so far, the number of illiterate women has not decreased - on the contrary, it has been going up for years. Although education for both genders is not prohibited in Pakistan, women are generally not as well educated as men. But it doesn’t stop there: Pakistan is one of the countries deemed worst for women in general when it comes to quality of life and safety.

Economy and education

Pakistan is a predominantly Muslim country with a low urbanization rate, meaning the majority of its population live in rural areas, where education is traditionally harder to come by than in cities. Pakistan is still a developing country, and typically, most of the inhabitants work in the primary sector, since Pakistan is rich in arable land. However, the tertiary sector generates the lion’s share of GDP. If the country wants to make the leap to being a developed nation, education and equality need to be higher on the list.

Actual value and historical data chart for Pakistan Literacy Rate Adult Total Percent Of People Ages 15 And Above

Historical dataset showing Pakistan literacy rate by year from 1981 to 2019.

Graph and download economic data for Literacy Rate, Adult Total for Pakistan (SEADTLITRZSPAK) from 1981 to 2021 about Pakistan, literacy, adult, and rate.

Pakistan PK: Literacy Rate: Youth Female: % of Females Aged 15-24 data was reported at 65.548 % in 2014. This records an increase from the previous number of 63.438 % for 2013. Pakistan PK: Literacy Rate: Youth Female: % of Females Aged 15-24 data is updated yearly, averaging 61.463 % from Dec 1981 (Median) to 2014, with 11 observations. The data reached an all-time high of 65.548 % in 2014 and a record low of 23.833 % in 1981. Pakistan PK: 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 Pakistan – Table PK.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).

Yearly (annual) dataset of the Pakistan Adult Literacy Rate, including historical data, latest releases, and long-term trends from 1981-12-31 to 2019-12-31. Available for free download in CSV format.

Pakistan PK: Literacy Rate: Adult: % of People Aged 15 and Above data was reported at 56.977 % in 2014. This records an increase from the previous number of 55.595 % for 2013. Pakistan PK: Literacy Rate: Adult: % of People Aged 15 and Above data is updated yearly, averaging 54.893 % from Dec 1981 (Median) to 2014, with 11 observations. The data reached an all-time high of 56.977 % in 2014 and a record low of 25.725 % in 1981. Pakistan PK: Literacy Rate: Adult: % of People Aged 15 and Above data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Pakistan – Table PK.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).

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

Pakistan PK: Literacy Rate: Youth: % of People Age 15-24 data was reported at 72.795 % in 2014. This records an increase from the previous number of 71.636 % for 2013. Pakistan PK: Literacy Rate: Youth: % of People Age 15-24 data is updated yearly, averaging 70.769 % from Dec 1981 (Median) to 2014, with 11 observations. The data reached an all-time high of 72.795 % in 2014 and a record low of 34.783 % in 1981. Pakistan PK: 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 Pakistan – Table PK.World Bank.WDI: 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).

Pakistan PK: Gender Parity Index (GPI): Literacy Rate: Youth Aged 15-24 data was reported at 0.822 Ratio in 2014. This records an increase from the previous number of 0.799 Ratio for 2013. Pakistan PK: Gender Parity Index (GPI): Literacy Rate: Youth Aged 15-24 data is updated yearly, averaging 0.777 Ratio from Dec 1981 (Median) to 2014, with 11 observations. The data reached an all-time high of 0.822 Ratio in 2014 and a record low of 0.536 Ratio in 1981. Pakistan PK: 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 Pakistan – Table PK.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).

Pakistan PK: Literacy Rate: Youth Male: % of Males Aged 15-24 data was reported at 79.766 % in 2014. This records an increase from the previous number of 79.404 % for 2013. Pakistan PK: Literacy Rate: Youth Male: % of Males Aged 15-24 data is updated yearly, averaging 79.144 % from Dec 1981 (Median) to 2014, with 11 observations. The data reached an all-time high of 80.288 % in 2012 and a record low of 44.503 % in 1981. Pakistan PK: 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 Pakistan – Table PK.World Bank.WDI: 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).

Financial overview and grant giving statistics of Pakistan Literacy Fund

Pakistan Literacy Rate: Male: Urban data was reported at 82.400 % in 2015. This records an increase from the previous number of 81.600 % for 2014. Pakistan Literacy Rate: Male: Urban data is updated yearly, averaging 80.300 % from Jun 2006 (Median) to 2015, with 9 observations. The data reached an all-time high of 82.400 % in 2015 and a record low of 77.100 % in 2006. Pakistan Literacy Rate: Male: Urban data remains active status in CEIC and is reported by Pakistan Bureau of Statistics. The data is categorized under Global Database’s Pakistan – Table PK.G007: Vital Statistics: Sex Ratio & Literacy Rate.

Description: This dataset presents comprehensive employment and demographic statistics for various districts across Pakistan, with a focus on gender-specific and regional insights. The dataset covers a range of indicators related to the labor market, population, and literacy rates, offering valuable insights into the socio-economic landscape of the country.

Columns: - Province: The administrative division within Pakistan. - Division: Subdivisions within provinces. - District: The specific geographic districts within divisions. - Indicator: This column captures a diverse set of socio-economic indicators, including but not limited to: - Total Population: The total population of the district. - Employment Rate: The proportion of the working-age population currently employed. - Labor Force: The number of individuals actively participating in the labor force. - Working Age Population: The count of individuals within the working-age bracket. - Literacy Rate: The percentage of the population with basic literacy skills. - Gender-specific Employment Data: Employment data for both male and female populations, including employment rates, labor force participation, and more. - Area Type: Distinguishes between urban and rural areas within districts. - Total: Represents the total value of the corresponding indicator, typically combining both male and female data. - Male: Provides gender-specific data for male individuals. - Female: Provides gender-specific data for female individuals.

Significance of the "Indicator" Column: The "Indicator" column serves as the key to understanding various socio-economic aspects of each district in Pakistan. It offers a comprehensive view of the employment landscape, population dynamics, and literacy rates. By analyzing different indicators, researchers and data enthusiasts can gain insights into: - The distribution of employment opportunities across regions and gender. - The educational attainment of the population. - Labor force participation and unemployment trends. - Demographic variations within districts.

This dataset empowers analysts to explore the nuances of employment and demographic patterns, facilitating evidence-based research and informed policy decisions. Whether you're interested in gender-specific employment, literacy rates, or overall labor market dynamics, this dataset provides a valuable resource for in-depth investigations and data-driven insights into Pakistan's diverse socio-economic landscape.

This study explores the impact of affective AI literacy on student satisfaction in Pakistan’s evolving higher education sector, which is placing greater emphasis on sustainable education and market-relevant skills.

Total Literacy rate in the District Chitral Upper 2021

Abstract

The PSLM Project is designed to provide Social & Economic indicators in the alternate years at provincial and district levels. The project was initiated in July 2004 and will continue up to June 2015. The data generated through surveys is used to assist the government In formulating the poverty reduction strategy as well as development plans at district level and for the rapid assessment of program in the overall context of MDGs. As such this survey is one of the main mechanisms for monitoring MDGs indicators. It provides a set of representative, population-based estimates of social indicators and their progress under the PRSP/MDGs. For Millennium Development Goals (MDGs), UN has set 18 targets for 48 indicators for its member countries to achieve by 2015. Pakistan has committed to implement 16 targets and 37 indicators out of which 6 targets and 13 indicators are monitored through PSLM Surveys. The PSLM surveys are conducted at district level and at Provincial level respectively at alternate years. PSLM District level survey collects information on key Social indicators whereas through provincial level surveys (Social & HIES) collects information on social indicators as well as on Income and Consumption while in specific sections also information is also collected about household size; the number of employed people and their employment status, main sources of income; consumption patterns; the level of savings; and the consumption of the major food items. However, Planning Commission also uses this data for Poverty analysis.

Another important objective of the PSLM Survey is to try to establish the distributional impact of development programs; whether the poor have benefited from the program or whether increased government expenditure on the social sectors has been captured by the better off. The sample size of PSLM surveys district level is approximately 80000 households and approximately 18000 at Provincial level.

Main Indicators: Indicators on Demographic characteristics, Education, Health, Employment, Household Assets, Household Amenities, Population Welfare and Water Supply & Sanitation are developed at National/Provincial /District levels.

Geographic coverage

National coverage

Analysis unit

Households and Individuals

Universe

The universe of this survey consists of all urban and rural areas of all four provinces, AJK and Gilgit Baltistan. FATA and Military restricted areas have been excluded from the scope of the survey.

Kind of data

Sample survey data [ssd]

Sampling procedure

Sampling Frame: Pakistan Bureau of statistics PBS has developed its own urban area frame. Each city/town is divided into enumeration blocks. Each enumeration block is comprised to 200-250 households on the average with well-defined boundaries and maps .The list of enumeration blocks as updated from field on the prescribed Performa by Quick Count Technique in 2013 for urban and the list of villages/mouzas/dehs or its part (block), updated during House listing in 2011 for conduct of Population Census, are taken as sampling frame. Enumeration blocks and villages are considered as Primary Sampling Units (PSUs) for urban and rural domains respectively. A project to update the rural blocks is currently in hand.

Stratification Plan

Urban Areas: Large sized cities having population five laces and above have been treated as independent stratum. Each of these cities has further been sub-stratified into low, middle and high income groups. The remaining cities/towns within each defunct administrative division have been grouped together to constitute an independent stratum.

Rural Areas: The entire rural domain of a district for Khyber Pakhtunkhwa, Punjab, and Sindh provinces has been considered as independent stratum, whereas in Balochistan province defunct administrative division has been treated as stratum.

Sample Size and its Allocation: To determine optimum sample size for this survey, 6 indicators namely Literacy rate, Net enrolment rate at primary level, Population 10+ that ever attended school, Contraceptive prevalence of women age 15-49 years, Children age 12-23 months who are fully immunized and post natal consultation for ever married women aged 15-49 years were taken into consideration. Keeping in view the prevalence of these indicators at different margin of errors, reliability of estimates and field resources available a sample of size 19620 households distributed over 1368 PSUs (567 urban and 801 rural) has been considered sufficient to produce reliable estimates in respect of all four provinces with urban rural breakdown, however data was collected from 1307 PSU’S by covering 17989 household.

Sample Design: A two-stage stratified sample design has been adopted for this survey.

Selection of primary sampling Units (PSUs): Enumeration blocks in urban and rural domains have been taken as PSUs. In urban and rural domains sample PSUs from each stratum have been selected by PPS method of sampling scheme; using households in each block as Measure of size (MOS).

Selection of Secondary Sampling Units (SSUs): Households within PSU have been considered as SSUs. 16 and 12 households have been selected from urban/rural domains respectively by systematic sampling scheme with a random start.

Sampling deviation

Out of 1368 PSUs, of all four provinces 61 PSUs (11 urban and 50 rural PSUs) of Balochistan were dropped due to bad law and order situation and the remaining 1307 PSUs (556 urban and 751 rural) comprising 17989 households were covered.

Mode of data collection

Computer Assisted Personal Interview [capi]

Research instrument

At both individual and household level, the PSLM Survey collects information on a wide range of topics using an integrated questionnaire. The questionnaire comprises a number of different sections, each of which looks at a particular aspect of household behavior or welfare. Data collected under Round IX includes education, diarrhea, immunization, reproductive health, pregnancy history, maternity history, family planning, pre and post-natal care and access to basic services.

Cleaning operations

Data quality in PSLM Survey has been ensured through a built in system of checking of field work by the supervisors in the field and by the in charge of the concerned Regional/Field offices. Teams from the headquarters also pay surprise visits and randomly check the work done by the enumerators. Regional/ Field offices ensured the data quality through preliminary editing at their office level. The entire data entry was carried at the PBS headquarter Islamabad and specially designed data entry programme had a number of built in consistency checks.

Data appraisal

To determine the reliability of the estimates confidence interval and Standard error of important key indicators have been worked out and are attached at the end of each section of the survey report, provided under the 'Related Materials' tab

This dataset is a cross-sectional survey collected from two provinces in Pakistan (Punjab) and India (State of Gujarat). The sample included both urban and rural parts of the two countries. The dataset mainly looks at children’s learning and general life experiences in the early years of childhood (at ages 4 to 8). We assessed 1,129 children on tasks of basic numeracy, literacy, and social-emotional learning using a standardised measure of assessment, implemented at two points in time with a gap of 12 months. Also, we collected data on household characteristics, children's learning performance and a parents' survey of children's activities and learning outcomes.School enrolment of around 80% in India and Pakistan is lower than targets associated with Sustainable Development Goal 4 and functional levels of literacy and numeracy are inadequate even for many young children who are enrolled in school. This project, based on 1,500 young children from one province in Pakistan and one state in India, seeks to examine patterns of enrolment of children and school readiness by socio-economic group, family background, urban / rural locations and individual characteristics such as gender, disability and health. Attendance and progress at school will be analysed over one year, demonstrating how much of a difference school attendance can make to children’s cognitive development and health outcomes. The project aims to collect in-depth information from families and communities on their views of schools and any barriers to attendance, and conduct a systematic review of the evidence. The findings are expected to have policy implications on school enrolment, attendance and retention.

The team's final project report was published on 20 September 2022, and a foreword has been authored by Ziauddin Yousafzai (Malala Yousafzai’s father).

IntroductionNutritional literacy is one of the most important and under-explored aspects of good nutritional status especially in low- and middle-income countries.ObjectiveDespite its vital role in health, nutrition literacy research, particularly in low- and middle-income countries remains limited. This study aimed to assess the prevalence of nutritional literacy in marginalized settlements of Islamabad and determine the socio-demographic factors that influence nutritional literacy.MethodsA cross-sectional study was conducted among 265 adults belonging to a marginalized community of Islamabad, Pakistan. Socio-demographic data of the participants was obtained and information on nutrition literacy and health outcomes was collected using two validated tools. Data was analyzed for descriptive and inferential statistics, with significance level set at p 

With the proliferation of AI tools, it is crucial to understand the level of AI literacy among university students. This study investigates the AI literacy of Library and Information Science (LIS) students in South Asia e.g., Bangladesh, India and Pakistan, and the Middle East namely Jordan, Lebanon and Saudi Arabia. A quantitative design was employed in this study, which targets 816 LIS students at various academic institutions.