Pakistan PK: Death Rate: Crude: per 1000 People data was reported at 7.283 Ratio in 2016. This records a decrease from the previous number of 7.344 Ratio for 2015. Pakistan PK: Death Rate: Crude: per 1000 People data is updated yearly, averaging 11.204 Ratio from Dec 1960 (Median) to 2016, with 57 observations. The data reached an all-time high of 20.719 Ratio in 1960 and a record low of 7.283 Ratio in 2016. Pakistan PK: Death Rate: Crude: per 1000 People 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: Population and Urbanization Statistics. Crude death rate indicates the number of deaths occurring during the year, per 1,000 population estimated at midyear. Subtracting the crude death rate from the crude birth rate provides the rate of natural increase, which is equal to the rate of population change in the absence of migration.; ; (1) United Nations Population Division. World Population Prospects: 2017 Revision. (2) Census reports and other statistical publications from national statistical offices, (3) Eurostat: Demographic Statistics, (4) United Nations Statistical Division. Population and Vital Statistics Reprot (various years), (5) U.S. Census Bureau: International Database, and (6) Secretariat of the Pacific Community: Statistics and Demography Programme.; Weighted average;

Pakistan PK: Mortality Rate: Under-5: per 1000 Live Births data was reported at 74.900 Ratio in 2017. This records a decrease from the previous number of 77.100 Ratio for 2016. Pakistan PK: Mortality Rate: Under-5: per 1000 Live Births data is updated yearly, averaging 142.850 Ratio from Dec 1960 (Median) to 2017, with 58 observations. The data reached an all-time high of 258.800 Ratio in 1960 and a record low of 74.900 Ratio in 2017. Pakistan PK: Mortality Rate: Under-5: per 1000 Live Births 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: Health Statistics. Under-five mortality rate is the probability per 1,000 that a newborn baby will die before reaching age five, if subject to age-specific mortality rates of the specified year.; ; Estimates Developed by the UN Inter-agency Group for Child Mortality Estimation (UNICEF, WHO, World Bank, UN DESA Population Division) at www.childmortality.org.; Weighted average; Given that data on the incidence and prevalence of diseases are frequently unavailable, mortality rates are often used to identify vulnerable populations. Moreover, they are among the indicators most frequently used to compare socioeconomic development across countries. Under-five mortality rates are higher for boys than for girls in countries in which parental gender preferences are insignificant. Under-five mortality captures the effect of gender discrimination better than infant mortality does, as malnutrition and medical interventions have more significant impacts to this age group. Where female under-five mortality is higher, girls are likely to have less access to resources than boys.

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

This dataset contains data and analysis from the article Do State Department Travel Warnings Reflect Real Danger?

Key findings

• On the whole, there is a significant relationship between the number of American deaths abroad per capita and the number of travel warnings a country receives
• Mexico, Mali, and Israel have been targeted by the most travel warnings in recent years, but Americans are more likely to be killed in Thailand, Pakistan, and the Philippines
• Several countries with relatively high rates of American death have not been issued a single travel warning in ~7 years, including Belize, Guyana, and Guatemala
• Several countries with relatively low rates of American death have been issued a relatively high number of travel warnings in ~7 years, including Israel, Turkey, and Saudi Arabia
• Overall, countries subject to travel warnings do not see notable declines in American visitors in the 6 months after a warning is issued

Data sources

• BTSOriginUS_10_09_to_06_16.csv Air Carrier Statistics Database export, Bureau of Transportation Statistics
• SDamerican_deaths_abroad_10_09_to_06_16.csv U.S. State Department
• SDwarnings_10_09to06_16.csv U.S. State Department via Internet Archive

Charts / data visualizations

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Pakistan PK: Cause of Death: by Non-Communicable Diseases: % of Total data was reported at 57.800 % in 2016. This records an increase from the previous number of 56.000 % for 2015. Pakistan PK: Cause of Death: by Non-Communicable Diseases: % of Total data is updated yearly, averaging 54.150 % from Dec 2000 (Median) to 2016, with 4 observations. The data reached an all-time high of 57.800 % in 2016 and a record low of 45.500 % in 2000. Pakistan PK: Cause of Death: by Non-Communicable Diseases: % of Total 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: Health Statistics. Cause of death refers to the share of all deaths for all ages by underlying causes. Non-communicable diseases include cancer, diabetes mellitus, cardiovascular diseases, digestive diseases, skin diseases, musculoskeletal diseases, and congenital anomalies.; ; Derived based on the data from WHO's Global Health Estimates.; Weighted average;

Pakistan PK: Suicide Mortality Rate: Male data was reported at 2.700 NA in 2016. This records a decrease from the previous number of 2.800 NA for 2015. Pakistan PK: Suicide Mortality Rate: Male data is updated yearly, averaging 2.800 NA from Dec 2000 (Median) to 2016, with 5 observations. The data reached an all-time high of 3.000 NA in 2005 and a record low of 2.700 NA in 2016. Pakistan PK: Suicide Mortality Rate: Male 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: Health Statistics. Suicide mortality rate is the number of suicide deaths in a year per 100,000 population. Crude suicide rate (not age-adjusted).; ; World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/).; Weighted average;

Pakistan's data extracted from the World Data Bank provides valuable insights into various factors that help deduce the country's Human Development Index (HDI) and economic situation. These indicators shed light on demographic trends, economic performance, and social development. Let's explore some key indicators and their implications for Pakistan's human development and economic status.

Urban population and Rural population: The distribution of the population between urban and rural areas indicates the level of urbanization and the development of infrastructure. A higher urban population might suggest better access to amenities and services in cities, while a larger rural population may indicate the importance of agriculture and the need for rural development.

Population and Population growth (annual %): The total population and its growth rate are crucial in assessing demographic trends and planning for the future. A high population growth rate can put strain on resources and social services, while a stable or declining growth rate allows for better management of development programs.

Gender-related indicators (Population, female, and Population, male (% of total population)): These indicators highlight gender imbalances in the population. A relatively equal distribution of male and female populations is crucial for gender equality and social development.

Birth rate, crude (per 1,000 people), and Mortality rate, infant (per 1,000 live births): Birth and infant mortality rates are essential indicators of healthcare and overall social development. Lower birth and infant mortality rates signify better healthcare facilities and improved living conditions.

GDP (current US$) and Inflation, GDP deflator (annual %): GDP represents the total economic output of a country and reflects its overall economic health. Inflation rates indicate the stability of prices and the impact on consumers' purchasing power.

GNI (current US$) and Gross national expenditure (current US$): GNI measures the total income earned by a country's residents, while gross national expenditure tracks the total spending on goods and services. These indicators help gauge the country's economic performance and fiscal health.

Total reserves (includes gold, current US$): Total reserves provide insight into a country's ability to meet its financial obligations and handle external economic shocks.

Services, value-added (current US$), Merchandise exports, and Merchandise imports (current US$): These indicators reflect the performance of the services and trade sectors, indicating the extent of economic diversification and international trade.

Military expenditure (current USD): Military expenditure is an essential factor in understanding a country's defense priorities and allocation of resources.

Adjusted savings: education expenditure (current US$) and Food production index (2014-2016 = 100): Investment in education is crucial for human development, while the food production index indicates a country's ability to meet its food needs and food security.

By analyzing these indicators collectively, policymakers, economists, and development experts can assess Pakistan's progress in human development and economic growth. Addressing challenges in healthcare, education, gender equality, and economic diversification can contribute to improving the Human Development Index and promoting sustainable economic development in Pakistan.

Pakistan PK: Mortality Rate: Under-5: Male: per 1000 Live Births data was reported at 82.200 Ratio in 2016. This records a decrease from the previous number of 84.500 Ratio for 2015. Pakistan PK: Mortality Rate: Under-5: Male: per 1000 Live Births data is updated yearly, averaging 95.400 Ratio from Dec 1990 (Median) to 2016, with 5 observations. The data reached an all-time high of 141.000 Ratio in 1990 and a record low of 82.200 Ratio in 2016. Pakistan PK: Mortality Rate: Under-5: Male: per 1000 Live Births 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: Health Statistics. Under-five mortality rate, male is the probability per 1,000 that a newborn male baby will die before reaching age five, if subject to male age-specific mortality rates of the specified year.; ; Estimates Developed by the UN Inter-agency Group for Child Mortality Estimation (UNICEF, WHO, World Bank, UN DESA Population Division) at www.childmortality.org.; Weighted Average; Given that data on the incidence and prevalence of diseases are frequently unavailable, mortality rates are often used to identify vulnerable populations. Moreover, they are among the indicators most frequently used to compare socioeconomic development across countries. Under-five mortality rates are higher for boys than for girls in countries in which parental gender preferences are insignificant. Under-five mortality captures the effect of gender discrimination better than infant mortality does, as malnutrition and medical interventions have more significant impacts to this age group. Where female under-five mortality is higher, girls are likely to have less access to resources than boys.

IntroductionNeonatal deaths and stillbirths are significant public health concerns in Pakistan, with an estimated stillbirth rate of 43 per 1,000 births and a neonatal mortality rate of 46 deaths per 1,000 live births. Limited access to obstetric care, poor health seeking behaviors and lack of quality healthcare are the leading root causes for stillbirths and neonatal deaths. Rehri Goth, a coastal slum in Karachi, faces even greater challenges due to extreme poverty, and inadequate infrastructure. This study aims to investigate the causes and pathways leading to stillbirths and neonatal deaths in Rehri Goth to develop effective maternal and child health interventions.MethodsA mixed-method cohort study was nested with the implementation of large maternal, neonatal and child health program, captured all stillbirths and neonatal death during the period of May 2014 till June 2018. The Verbal and Social Autopsy (VASA) tool (WHO 2016) was used to collect primary data from all death events to determine the causes as well as the pathways. Interviews were conducted both retrospectively and prospectively with mothers and caregivers. Two trained physicians reviewed the VASA form and the medical records (if available) and coded the cause of death blinded to each other. Descriptive analysis was used to categorize stillbirth and neonatal mortality data into high- and low-mortality clusters, followed by chi-square tests to explore associations between categories, and concluded with a qualitative analysis.ResultsOut of 421 events captured, complete VASA interviews were conducted for 317 cases. The leading causes of antepartum stillbirths were pregnancy-induced hypertension (22.4%) and maternal infections (13.4%), while obstructed labor was the primary cause of intrapartum stillbirths (38.3%). Neonatal deaths were primarily caused by perinatal asphyxia (36.1%) and preterm birth complications (27.8%). The qualitative analysis on a subset of 40 death events showed that health system (62.5%) and community factors (37.5%) contributing to adverse outcomes, such as delayed referrals, poor triage systems, suboptimal quality of care, and delayed care-seeking behaviors.ConclusionThe study provides an opportunity to understand the causes of stillbirths and neonatal deaths in one of the impoverished slums of Karachi. The data segregation by clusters as well as triangulation with qualitative analysis highlight the needs of evidence-based strategies for maternal and child health interventions in disadvantaged communities.

Pakistan PK: Crude Death Rate: per 1000 Persons data was reported at 7.200 NA in 2050. This records an increase from the previous number of 7.100 NA for 2049. Pakistan PK: Crude Death Rate: per 1000 Persons data is updated yearly, averaging 6.850 NA from Jun 1981 (Median) to 2050, with 70 observations. The data reached an all-time high of 15.700 NA in 1981 and a record low of 6.000 NA in 2033. Pakistan PK: Crude Death Rate: per 1000 Persons data remains active status in CEIC and is reported by US Census Bureau. The data is categorized under Global Database’s Pakistan – Table PK.US Census Bureau: Demographic Projection.

Pakistan PK: Mortality Rate: Adult: Male: per 1000 Male Adults data was reported at 177.870 Ratio in 2016. This records a decrease from the previous number of 178.543 Ratio for 2015. Pakistan PK: Mortality Rate: Adult: Male: per 1000 Male Adults data is updated yearly, averaging 223.051 Ratio from Dec 1960 (Median) to 2016, with 57 observations. The data reached an all-time high of 353.771 Ratio in 1960 and a record low of 177.870 Ratio in 2016. Pakistan PK: Mortality Rate: Adult: Male: per 1000 Male Adults 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: Health Statistics. Adult mortality rate, male, is the probability of dying between the ages of 15 and 60--that is, the probability of a 15-year-old male dying before reaching age 60, if subject to age-specific mortality rates of the specified year between those ages.; ; (1) United Nations Population Division. World Population Prospects: 2017 Revision. (2) University of California, Berkeley, and Max Planck Institute for Demographic Research. The Human Mortality Database.; Weighted average;

Pakistan PK: Mortality Rate: Infant: Female: per 1000 Live Births data was reported at 56.700 Ratio in 2017. This records a decrease from the previous number of 59.900 Ratio for 2015. Pakistan PK: Mortality Rate: Infant: Female: per 1000 Live Births data is updated yearly, averaging 67.600 Ratio from Dec 1990 (Median) to 2017, with 5 observations. The data reached an all-time high of 100.100 Ratio in 1990 and a record low of 56.700 Ratio in 2017. Pakistan PK: Mortality Rate: Infant: Female: per 1000 Live Births 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: Health Statistics. Infant mortality rate, female is the number of female infants dying before reaching one year of age, per 1,000 female live births in a given year.; ; Estimates developed by the UN Inter-agency Group for Child Mortality Estimation (UNICEF, WHO, World Bank, UN DESA Population Division) at www.childmortality.org.; Weighted average; Given that data on the incidence and prevalence of diseases are frequently unavailable, mortality rates are often used to identify vulnerable populations. Moreover, they are among the indicators most frequently used to compare socioeconomic development across countries. Under-five mortality rates are higher for boys than for girls in countries in which parental gender preferences are insignificant. Under-five mortality captures the effect of gender discrimination better than infant mortality does, as malnutrition and medical interventions have more significant impacts to this age group. Where female under-five mortality is higher, girls are likely to have less access to resources than boys.

Pakistan PK: Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70 data was reported at 24.700 % in 2016. This records a decrease from the previous number of 24.800 % for 2015. Pakistan PK: Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70 data is updated yearly, averaging 25.600 % from Dec 2000 (Median) to 2016, with 5 observations. The data reached an all-time high of 26.700 % in 2005 and a record low of 24.700 % in 2016. Pakistan PK: Mortality from CVD, Cancer, Diabetes or CRD between Exact Ages 30 and 70 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: Health Statistics. Mortality from CVD, cancer, diabetes or CRD is the percent of 30-year-old-people who would die before their 70th birthday from any of cardiovascular disease, cancer, diabetes, or chronic respiratory disease, assuming that s/he would experience current mortality rates at every age and s/he would not die from any other cause of death (e.g., injuries or HIV/AIDS).; ; World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/).; Weighted Average;

Pakistan PK: Maternal Mortality Ratio: Modeled Estimate: per 100,000 Live Births data was reported at 178.000 Ratio in 2015. This records a decrease from the previous number of 184.000 Ratio for 2014. Pakistan PK: Maternal Mortality Ratio: Modeled Estimate: per 100,000 Live Births data is updated yearly, averaging 276.500 Ratio from Dec 1990 (Median) to 2015, with 26 observations. The data reached an all-time high of 431.000 Ratio in 1990 and a record low of 178.000 Ratio in 2015. Pakistan PK: Maternal Mortality Ratio: Modeled Estimate: per 100,000 Live Births 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: Health Statistics. Maternal mortality ratio is the number of women who die from pregnancy-related causes while pregnant or within 42 days of pregnancy termination per 100,000 live births. The data are estimated with a regression model using information on the proportion of maternal deaths among non-AIDS deaths in women ages 15-49, fertility, birth attendants, and GDP measured using purchasing power parities (PPPs).; ; WHO, UNICEF, UNFPA, World Bank Group, and the United Nations Population Division. Trends in Maternal Mortality: 1990 to 2015. Geneva, World Health Organization, 2015; Weighted average; This indicator represents the risk associated with each pregnancy and is also a Sustainable Development Goal Indicator for monitoring maternal health.

Pakistan PK: Cause of Death: by Injury: % of Total data was reported at 7.300 % in 2016. This records a decrease from the previous number of 8.700 % for 2015. Pakistan PK: Cause of Death: by Injury: % of Total data is updated yearly, averaging 7.950 % from Dec 2000 (Median) to 2016, with 4 observations. The data reached an all-time high of 8.700 % in 2015 and a record low of 6.400 % in 2000. Pakistan PK: Cause of Death: by Injury: % of Total 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: Health Statistics. Cause of death refers to the share of all deaths for all ages by underlying causes. Injuries include unintentional and intentional injuries.; ; Derived based on the data from WHO's Global Health Estimates.; Weighted average;

Pakistan PK: Mortality Rate Attributed to Unintentional Poisoning: Female: per 100,000 Female Population data was reported at 3.900 Ratio in 2016. This records a decrease from the previous number of 4.000 Ratio for 2015. Pakistan PK: Mortality Rate Attributed to Unintentional Poisoning: Female: per 100,000 Female Population data is updated yearly, averaging 4.000 Ratio from Dec 2000 (Median) to 2016, with 5 observations. The data reached an all-time high of 4.700 Ratio in 2000 and a record low of 3.700 Ratio in 2005. Pakistan PK: Mortality Rate Attributed to Unintentional Poisoning: Female: per 100,000 Female Population 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: Health Statistics. Mortality rate attributed to unintentional poisonings is the number of female deaths from unintentional poisonings in a year per 100,000 female population. Unintentional poisoning can be caused by household chemicals, pesticides, kerosene, carbon monoxide and medicines, or can be the result of environmental contamination or occupational chemical exposure.; ; World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/).; Weighted average;

Pakistan PK: Life Expectancy at Birth: Male data was reported at 65.514 Year in 2016. This records an increase from the previous number of 65.379 Year for 2015. Pakistan PK: Life Expectancy at Birth: Male data is updated yearly, averaging 58.836 Year from Dec 1960 (Median) to 2016, with 57 observations. The data reached an all-time high of 65.514 Year in 2016 and a record low of 45.105 Year in 1960. Pakistan PK: Life Expectancy at Birth: Male 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: Health Statistics. Life expectancy at birth indicates the number of years a newborn infant would live if prevailing patterns of mortality at the time of its birth were to stay the same throughout its life.; ; (1) United Nations Population Division. World Population Prospects: 2017 Revision. (2) Census reports and other statistical publications from national statistical offices, (3) Eurostat: Demographic Statistics, (4) United Nations Statistical Division. Population and Vital Statistics Reprot (various years), (5) U.S. Census Bureau: International Database, and (6) Secretariat of the Pacific Community: Statistics and Demography Programme.; Weighted average;

Pakistan PK: Mortality Rate: Under 5 per 1000 Births data was reported at 19.900 NA in 2050. This records a decrease from the previous number of 20.600 NA for 2049. Pakistan PK: Mortality Rate: Under 5 per 1000 Births data is updated yearly, averaging 71.900 NA from Jun 1981 (Median) to 2050, with 70 observations. The data reached an all-time high of 209.700 NA in 1981 and a record low of 19.900 NA in 2050. Pakistan PK: Mortality Rate: Under 5 per 1000 Births data remains active status in CEIC and is reported by US Census Bureau. The data is categorized under Global Database’s Pakistan – Table PK.US Census Bureau: Demographic Projection.

Pakistan PK: Life Expectancy at Birth: Total data was reported at 66.481 Year in 2016. This records an increase from the previous number of 66.322 Year for 2015. Pakistan PK: Life Expectancy at Birth: Total data is updated yearly, averaging 59.458 Year from Dec 1960 (Median) to 2016, with 57 observations. The data reached an all-time high of 66.481 Year in 2016 and a record low of 45.265 Year in 1960. Pakistan PK: Life Expectancy at Birth: Total 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: Health Statistics. Life expectancy at birth indicates the number of years a newborn infant would live if prevailing patterns of mortality at the time of its birth were to stay the same throughout its life.; ; (1) United Nations Population Division. World Population Prospects: 2017 Revision, or derived from male and female life expectancy at birth from sources such as: (2) Census reports and other statistical publications from national statistical offices, (3) Eurostat: Demographic Statistics, (4) United Nations Statistical Division. Population and Vital Statistics Reprot (various years), (5) U.S. Census Bureau: International Database, and (6) Secretariat of the Pacific Community: Statistics and Demography Programme.; Weighted average;

Pakistan PK: Mortality Rate Attributed to Unintentional Poisoning: Male: per 100,000 Male Population data was reported at 0.800 Ratio in 2016. This stayed constant from the previous number of 0.800 Ratio for 2015. Pakistan PK: Mortality Rate Attributed to Unintentional Poisoning: Male: per 100,000 Male Population data is updated yearly, averaging 0.800 Ratio from Dec 2000 (Median) to 2016, with 5 observations. The data reached an all-time high of 1.000 Ratio in 2000 and a record low of 0.800 Ratio in 2016. Pakistan PK: Mortality Rate Attributed to Unintentional Poisoning: Male: per 100,000 Male Population 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: Health Statistics. Mortality rate attributed to unintentional poisonings is the number of male deaths from unintentional poisonings in a year per 100,000 male population. Unintentional poisoning can be caused by household chemicals, pesticides, kerosene, carbon monoxide and medicines, or can be the result of environmental contamination or occupational chemical exposure.; ; World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/).; Weighted average;