8 datasets found
  1. T

    Pakistan - School Life Expectancy, Primary And Secondary, Female (years)

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Jun 17, 2017
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    TRADING ECONOMICS (2017). Pakistan - School Life Expectancy, Primary And Secondary, Female (years) [Dataset]. https://tradingeconomics.com/pakistan/school-life-expectancy-primary-and-secondary-female-years-wb-data.html
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    json, excel, xml, csvAvailable download formats
    Dataset updated
    Jun 17, 2017
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Jan 1, 1976 - Dec 31, 2025
    Area covered
    Pakistan
    Description

    School life expectancy, primary and secondary, female (years) in Pakistan was reported at 7.3572 years in 2019, according to the World Bank collection of development indicators, compiled from officially recognized sources. Pakistan - School life expectancy, primary and secondary, female (years) - actual values, historical data, forecasts and projections were sourced from the World Bank on October of 2025.

  2. w

    Pakistan - Demographic and Health Survey 1990-1991 - Dataset - waterdata

    • wbwaterdata.org
    Updated Mar 16, 2020
    + more versions
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    (2020). Pakistan - Demographic and Health Survey 1990-1991 - Dataset - waterdata [Dataset]. https://wbwaterdata.org/dataset/pakistan-demographic-and-health-survey-1990-1991
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    Dataset updated
    Mar 16, 2020
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    Pakistan
    Description

    The Pakistan Demographic and Health Survey (PDHS) was fielded on a national basis between the months of December 1990 and May 1991. The survey was carried out by the National Institute of Population Studies with the objective of assisting the Ministry of Population Welfare to evaluate the Population Welfare Programme and maternal and child health services. The PDHS is the latest in a series of surveys, making it possible to evaluate changes in the demographic status of the population and in health conditions nationwide. Earlier surveys include the Pakistan Contraceptive Prevalence Survey of 1984-85 and the Pakistan Fertility Survey of 1975. The primary objective of the Pakistan Demographic and Health Survey (PDHS) was to provide national- and provincial-level data on population and health in Pakistan. The primary emphasis was on the following topics: fertility, nuptiality, family size preferences, knowledge and use of family planning, the potential demand for contraception, the level of unwanted fertility, infant and child mortality, breastfeeding and food supplementation practices, maternal care, child nutrition and health, immunisations and child morbidity. This information is intended to assist policy makers, administrators and researchers in assessing and evaluating population and health programmes and strategies. The PDHS is further intended to serve as a source of demographic data for comparison with earlier surveys, particularly the 1975 Pakistan Fertility Survey (PFS) and the 1984-85 Pakistan Contraceptive Prevalence Survey (PCPS). MAIN RESULTS Until recently, fertility rates had remained high with little evidence of any sustained fertility decline. In recent years, however, fertility has begun to decline due to a rapid increase in the age at marriage and to a modest rise in the prevalence of contraceptive use. The lotal fertility rate is estimated to have fallen from a level of approximately 6.4 children in the early 1980s to 6.0 children in the mid-1980s, to 5.4 children in the late 1980s. The exact magnitude of the change is in dispute and will be the subject of further research. Important differentials of fertility include the degree ofurbanisation and the level of women's education. The total fertility rate is estimated to be nearly one child lower in major cities (4.7) than in rural areas (5.6). Women with at least some secondary schooling have a rate of 3.6, compared to a rate of 5.7 children for women with no formal education. There is a wide disparity between women's knowledge and use of contraceptives in Pakistan. While 78 percent of currently married women report knowing at least one method of contraception, only 21 percent have ever used a method, and only 12 percent are currently doing so. Three-fourths of current users are using a modem method and one-fourth a traditional method. The two most commonly used methods are female sterilisation (4 percent) and the condom (3 percent). Despite the relatively low level of contraceptive use, the gain over time has been significant. Among married non-pregnant women, contraceptive use has almost tripled in 15 years, from 5 percent in 1975 to 14 percent in 1990-91. The contraceptive prevalence among women with secondary education is 38 percent, and among women with no schooling it is only 8 percent. Nearly one-third of women in major cities arc current users of contraception, but contraceptive use is still rare in rural areas (6 percent). The Government of Pakistan plays a major role in providing family planning services. Eighty-five percent of sterilised women and 81 percent of IUD users obtained services from the public sector. Condoms, however, were supplied primarily through the social marketing programme. The use of contraceptives depends on many factors, including the degree of acceptability of the concept of family planning. Among currently married women who know of a contraceptive method, 62 percent approve of family planning. There appears to be a considerable amount of consensus between husbands and wives about family planning use: one-third of female respondents reported that both they and their husbands approve of family planning, while slightly more than one-fifth said they both disapprove. The latter couples constitute a group for which family planning acceptance will require concerted motivational efforts. The educational levels attained by Pakistani women remain low: 79 percent of women have had no formal education, 14 percent have studied at the primary or middle school level, and only 7 percent have attended at least some secondary schooling. The traditional social structure of Pakistan supports a natural fertility pattern in which the majority of women do not use any means of fertility regulation. In such populations, the proximate determinants of fertility (other than contraception) are crucial in determining fertility levels. These include age at marriage, breastfeeding, and the duration of postpartum amenorrhoea and abstinence. The mean age at marriage has risen sharply over the past few decades, from under 17 years in the 1950s to 21.7 years in 1991. Despite this rise, marriage remains virtually universal: among women over the age of 35, only 2 percent have never married. Marriage patterns in Pakistan are characterised by an unusually high degree of consangninity. Half of all women are married to their first cousin and an additional 11 percent are married to their second cousin. Breasffeeding is important because of the natural immune protection it provides to babies, and the protection against pregnancy it gives to mothers. Women in Pakistan breastfeed their children for an average of20months. Themeandurationofpostpartumamenorrhoeais slightly more than 9 months. After tbebirth of a child, women abstain from sexual relations for an average of 5 months. As a result, the mean duration of postpartum insusceptibility (the period immediately following a birth during which the mother is protected from the risk of pregnancy) is 11 months, and the median is 8 months. Because of differentials in the duration of breastfeeding and abstinence, the median duration of insusceptibility varies widely: from 4 months for women with at least some secondary education to 9 months for women with no schooling; and from 5 months for women residing in major cities to 9 months for women in rural areas. In the PDHS, women were asked about their desire for additional sons and daughters. Overall, 40 percent of currently married women do not want to have any more children. This figure increases rapidly depending on the number of children a woman has: from 17 percent for women with two living children, to 52 percent for women with four children, to 71 percent for women with six children. The desire to stop childbearing varies widely across cultural groupings. For example, among women with four living children, the percentage who want no more varies from 47 percent for women with no education to 84 percent for those with at least some secondary education. Gender preference continues to be widespread in Pakistan. Among currently married non-pregnant women who want another child, 49 percent would prefer to have a boy and only 5 percent would prefer a girl, while 46 percent say it would make no difference. The need for family planning services, as measured in the PDHS, takes into account women's statements concerning recent and future intended childbearing and their use of contraceptives. It is estimated that 25 percent of currently married women have a need for family planning to stop childbearing and an additional 12 percent are in need of family planning for spacing children. Thus, the total need for family planning equals 37 percent, while only 12 percent of women are currently using contraception. The result is an unmet need for family planning services consisting of 25 percent of currently married women. This gap presents both an opportunity and a challenge to the Population Welfare Programme. Nearly one-tenth of children in Pakistan die before reaching their first birthday. The infant mortality rate during the six years preceding the survey is estimaled to be 91 per thousand live births; the under-five mortality rate is 117 per thousand. The under-five mortality rates vary from 92 per thousand for major cities to 132 for rural areas; and from 50 per thousand for women with at least some secondary education to 128 for those with no education. The level of infant mortality is influenced by biological factors such as mother's age at birth, birth order and, most importantly, the length of the preceding birth interval. Children born less than two years after their next oldest sibling are subject to an infant mortality rate of 133 per thousand, compared to 65 for those spaced two to three years apart, and 30 for those born at least four years after their older brother or sister. One of the priorities of the Government of Pakistan is to provide medical care during pregnancy and at the time of delivery, both of which are essential for infant and child survival and safe motherhood. Looking at children born in the five years preceding the survey, antenatal care was received during pregnancy for only 30 percent of these births. In rural areas, only 17 percent of births benefited from antenatal care, compared to 71 percent in major cities. Educational differentials in antenatal care are also striking: 22 percent of births of mothers with no education received antenatal care, compared to 85 percent of births of mothers with at least some secondary education. Tetanus, a major cause of neonatal death in Pakistan, can be prevented by immunisation of the mother during pregnancy. For 30 percent of all births in the five years prior to the survey, the mother received a tetanus toxoid vaccination. The differentials are about the same as those for antenatal care generally. Eighty-five percent of the births occurring during the five years preceding the survey were delivered

  3. g

    Income Elasticity for Broad Groups of Consumption Items - 114 Countries

    • geocommons.com
    Updated May 8, 2008
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    urbanows (2008). Income Elasticity for Broad Groups of Consumption Items - 114 Countries [Dataset]. http://geocommons.com/search.html
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    Dataset updated
    May 8, 2008
    Dataset provided by
    urbanows
    US Department of Agriculture/United Nations
    Description

    From Source: Food budget shares and income and price elasticities are estimated, using 1996 data, for nine major consumption groups and eight food subgroups across 114 countries. The broad groups include food, beverage, and tobacco; clothing and footwear; education; gross rent, fuel, and power; house furnishings and operations; medical care; recreation; transport and communications; and other items. Food subgroups include bread and cereals, meat, fish, dairy products, fats and oils, fruit and vegetables, beverages and tobacco, and other food products. The depth and breath of these data provide an opportunity to incorporate the elasticities into research on changing food demand patterns. Albania Antigua & Barbuda Argentina Armenia Australia Austria Azerbaijan Bahamas Bahrain Bangladesh Barbados Belarus Belgium Belize Benin Bermuda Bolivia Botswana Brazil Bulgaria Cameroon Canada Chile Congo Cote d'Ivoire Czech Republic Denmark Dominica Ecuador Egypt Estonia Fiji Finland France Gabon Georgia Germany Greece Grenada Guinea Hong Kong Hungary Iceland Indonesia Iran Ireland Israel Italy Jamaica Japan Jordan Kazakhstan Kenya Korea Kyrgyzstan Latvia Lebanon Lithuania Luxembourg Macedonia Madagascar Malawi Mali Mauritius Mexico Moldova Mongolia Morocco Nepal Netherlands New Zealand Nigeria Norway Oman Pakistan Paraguay Peru Philippines Poland Portugal Qatar Romania Russia Senegal Sierra Leone Singapore Slovakia Slovenia Spain Sri Lanka St. Kitts & Nevis St. Lucia St.Vincent & Grenadines Swaziland Sweden Switzerland Syria Tajikistan Tanzania Thailand Trinidad & Tobago Tunisia Turkey Turkmenistan Ukraine United Kingdom United States Uruguay Uzbekistan Venezuela Vietnam Yemen Zambia Zimbabwe

  4. f

    Bivariate analysis between predictive variable with level of anxiety.

    • plos.figshare.com
    xls
    Updated Oct 19, 2023
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    Tooba Seemi; Hina Sharif; Sana Sharif; Hira Naeem; Farhat ul Ain Naeem; Zoya Fatima (2023). Bivariate analysis between predictive variable with level of anxiety. [Dataset]. http://doi.org/10.1371/journal.pone.0289967.t002
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    xlsAvailable download formats
    Dataset updated
    Oct 19, 2023
    Dataset provided by
    PLOS ONE
    Authors
    Tooba Seemi; Hina Sharif; Sana Sharif; Hira Naeem; Farhat ul Ain Naeem; Zoya Fatima
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Bivariate analysis between predictive variable with level of anxiety.

  5. Number of international students in the U.S. 2023/24, by country of origin

    • statista.com
    Updated Mar 3, 2025
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    Statista (2025). Number of international students in the U.S. 2023/24, by country of origin [Dataset]. https://www.statista.com/statistics/233880/international-students-in-the-us-by-country-of-origin/
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    Dataset updated
    Mar 3, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    In the academic year 2023/24, there were 331,602 international students from India studying in the United States. International students The majority of international students studying in the United States are originally from India and China, totaling 331,602 students and 277,398 students respectively in the 2023/24 school year. In 2022/23, there were 467,027 international graduate students , which accounted for over one third of the international students in the country. Typically, engineering and math & computer science programs were among the most common fields of study for these students. The United States is home to many world-renowned schools, most notably, the Ivy League Colleges which provide education that is sought after by both foreign and local students. International students and college Foreign students in the United States pay some of the highest fees in the United States, with an average of 24,914 U.S. dollars. American students attending a college in New England paid an average of 14,900 U.S. dollars for tuition alone and there were about 79,751 international students in Massachusetts . Among high-income families, U.S. students paid an average of 34,700 U.S. dollars for college, whereas the average for all U.S. families reached only 28,026 U.S. dollars. Typically, 40 percent of families paid for college tuition through parent income and savings, while 29 percent relied on grants and scholarships.

  6. f

    General characteristics of Study participants.

    • plos.figshare.com
    xls
    Updated Apr 23, 2025
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    Aisha Memon; Zulfiqar Ali Laghari; Ayaz Ali Samo (2025). General characteristics of Study participants. [Dataset]. http://doi.org/10.1371/journal.pone.0318055.t002
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    xlsAvailable download formats
    Dataset updated
    Apr 23, 2025
    Dataset provided by
    PLOS ONE
    Authors
    Aisha Memon; Zulfiqar Ali Laghari; Ayaz Ali Samo
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Stunting and thinness are significant public health concerns for developing countries, including Pakistan. Previously conducted studies in Tharparkar have focused on stunting, and thinness, in children, and micronutrient deficiency, However, there was a paucity of literature on prevalence rates and risk factors associated with stunting and thinness among adolescents in Tharparkar, Sindh, Pakistan. This study aimed to assess the demographic and dietary factors related to the prevalence of stunting and thinness among adolescents in Tharparkar. A community-based cross-sectional study was conducted from June 2022 to August 2022. Most populated Union councils of all sub-districts of Tharparkar district were selected for sampling. A multi-stage clustering sampling strategy was used. Healthy adolescents with ages≥10 to ≤19 years were included in the study. Anthropometry was performed using standard methods. Stunting and thinness were defined as per WHO criteria. Dietary assessments were conducted on a weekly recall basis. Mean Frequency and chi-square were computed using SPSS software. The overall mean age of the study participants was 14.11±2.43 years, and the mean weight was 36.842±8.83 kgs. The mean height of the study participants was 149.0151±11.27 centimeters. The mean height for age z score was -1.3094±1.17. The mean body mass index for age z score was -1.5473±1.27. Among 599 participants the overall prevalence of stunting and thinness was 26.7% and 35% respectively. Risk factors such as late adolescence (χ2=10.55 p=0.005), illiteracy, and less education (χ2=8.41 p=0.03), the rural area (χ2=3.92 p=0.04) significantly associated with an increased prevalence of stunting. The risk factors such as male (χ2=13.11 p

  7. P

    Pakistan PK: Literacy Rate: Youth Female: % of Females Aged 15-24

    • ceicdata.com
    Updated Jun 30, 2018
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    CEICdata.com (2018). Pakistan PK: Literacy Rate: Youth Female: % of Females Aged 15-24 [Dataset]. https://www.ceicdata.com/en/pakistan/education-statistics/pk-literacy-rate-youth-female--of-females-aged-1524
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    Dataset updated
    Jun 30, 2018
    Dataset provided by
    CEICdata.com
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Dec 1, 1981 - Dec 1, 2014
    Area covered
    Pakistan
    Variables measured
    Education Statistics
    Description

    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).

  8. P

    Pakistan PK: Government Expenditure per Student: Primary: % of GDP per...

    • ceicdata.com
    Updated May 15, 2023
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    CEICdata.com (2023). Pakistan PK: Government Expenditure per Student: Primary: % of GDP per Capita [Dataset]. https://www.ceicdata.com/en/pakistan/education-statistics/pk-government-expenditure-per-student-primary--of-gdp-per-capita
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    Dataset updated
    May 15, 2023
    Dataset provided by
    CEICdata.com
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Dec 1, 2013 - Dec 1, 2016
    Area covered
    Pakistan
    Variables measured
    Education Statistics
    Description

    Pakistan PK: Government Expenditure per Student: Primary: % of(GDP) Gross Domestic Productper Capita data was reported at 9.564 % in 2016. This records an increase from the previous number of 7.693 % for 2015. Pakistan PK: Government Expenditure per Student: Primary: % of(GDP) Gross Domestic Productper Capita data is updated yearly, averaging 8.045 % from Dec 2013 (Median) to 2016, with 4 observations. The data reached an all-time high of 9.564 % in 2016 and a record low of 7.693 % in 2015. Pakistan PK: Government Expenditure per Student: Primary: % of(GDP) Gross Domestic Productper Capita 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. Government expenditure per student is the average general government expenditure (current, capital, and transfers) per student in the given level of education, expressed as a percentage of GDP per capita.; ; United Nations Educational, Scientific, and Cultural Organization (UNESCO) Institute for Statistics.; Median;

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TRADING ECONOMICS (2017). Pakistan - School Life Expectancy, Primary And Secondary, Female (years) [Dataset]. https://tradingeconomics.com/pakistan/school-life-expectancy-primary-and-secondary-female-years-wb-data.html

Pakistan - School Life Expectancy, Primary And Secondary, Female (years)

Explore at:
json, excel, xml, csvAvailable download formats
Dataset updated
Jun 17, 2017
Dataset authored and provided by
TRADING ECONOMICS
License

Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically

Time period covered
Jan 1, 1976 - Dec 31, 2025
Area covered
Pakistan
Description

School life expectancy, primary and secondary, female (years) in Pakistan was reported at 7.3572 years in 2019, according to the World Bank collection of development indicators, compiled from officially recognized sources. Pakistan - School life expectancy, primary and secondary, female (years) - actual values, historical data, forecasts and projections were sourced from the World Bank on October of 2025.

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