Pakistan Health Statistics
Pakistan PK: Out-of-Pocket Health Expenditure: % of Current Health Expenditure
PK: Out-of-Pocket Health Expenditure: % of Current Health Expenditure data was reported at 66.485 % in 2015. This records a decrease from the previous number of 66.525 % for 2014. PK: Out-of-Pocket Health Expenditure: % of Current Health Expenditure data is updated yearly, averaging 66.505 % from Dec 2000 (Median) to 2015, with 16 observations. The data reached an all-time high of 78.016 % in 2006 and a record low of 57.527 % in 2002. PK: Out-of-Pocket Health Expenditure: % of Current Health Expenditure 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. Share of out-of-pocket payments of total current health expenditures. Out-of-pocket payments are spending on health directly out-of-pocket by households.; ; World Health Organization Global Health Expenditure database (http://apps.who.int/nha/database).; Weighted Average;
| Last | Frequency | Range |
|---|---|---|
| 66.49 2015 | yearly | 2000 - 2015 |
View Pakistan's Pakistan PK: Out-of-Pocket Health Expenditure: % of Current Health Expenditure from 2000 to 2015 in the chart:
Pakistan PK: Out-of-Pocket Helath Expenditure Per Capita: Current PPP
PK: Out-of-Pocket Helath Expenditure Per Capita: Current PPP data was reported at 0.000 Intl $ mn in 2015. This records an increase from the previous number of 0.000 Intl $ mn for 2014. PK: Out-of-Pocket Helath Expenditure Per Capita: Current PPP data is updated yearly, averaging 0.000 Intl $ mn from Dec 2000 (Median) to 2015, with 16 observations. The data reached an all-time high of 0.000 Intl $ mn in 2007 and a record low of 0.000 Intl $ mn in 2002. PK: Out-of-Pocket Helath Expenditure Per Capita: Current PPP 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. Health expenditure through out-of-pocket payments per capita in international dollars at purchasing power parity (PPP).; ; World Health Organization Global Health Expenditure database (http://apps.who.int/nha/database).; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 0.00 2015 | yearly | 2000 - 2015 |
View Pakistan's Pakistan PK: Out-of-Pocket Helath Expenditure Per Capita: Current PPP from 2000 to 2015 in the chart:
Pakistan PK: People Practicing Open Defecation: % of Population
PK: People Practicing Open Defecation: % of Population data was reported at 11.546 % in 2015. This records a decrease from the previous number of 13.439 % for 2014. PK: People Practicing Open Defecation: % of Population data is updated yearly, averaging 26.154 % from Dec 2000 (Median) to 2015, with 16 observations. The data reached an all-time high of 41.469 % in 2000 and a record low of 11.546 % in 2015. PK: People Practicing Open Defecation: % of 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. People practicing open defecation refers to the percentage of the population defecating in the open, such as in fields, forest, bushes, open bodies of water, on beaches, in other open spaces or disposed of with solid waste.; ; WHO/UNICEF Joint Monitoring Programme (JMP) for Water Supply and Sanitation (http://www.wssinfo.org/).; Weighted Average;
| Last | Frequency | Range |
|---|---|---|
| 11.55 2015 | yearly | 2000 - 2015 |
View Pakistan's Pakistan PK: People Practicing Open Defecation: % of Population from 2000 to 2015 in the chart:
Pakistan PK: People Practicing Open Defecation: Rural: % of Rural Population
PK: People Practicing Open Defecation: Rural: % of Rural Population data was reported at 18.853 % in 2015. This records a decrease from the previous number of 21.523 % for 2014. PK: People Practicing Open Defecation: Rural: % of Rural Population data is updated yearly, averaging 38.875 % from Dec 2000 (Median) to 2015, with 16 observations. The data reached an all-time high of 58.897 % in 2000 and a record low of 18.853 % in 2015. PK: People Practicing Open Defecation: Rural: % of Rural 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.WDI: Health Statistics. People practicing open defecation refers to the percentage of the population defecating in the open, such as in fields, forest, bushes, open bodies of water, on beaches, in other open spaces or disposed of with solid waste.; ; WHO/UNICEF Joint Monitoring Programme (JMP) for Water Supply and Sanitation (http://www.wssinfo.org/).; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 18.85 2015 | yearly | 2000 - 2015 |
View Pakistan's Pakistan PK: People Practicing Open Defecation: Rural: % of Rural Population from 2000 to 2015 in the chart:
Pakistan PK: People Practicing Open Defecation: Urban: % of Urban Population
PK: People Practicing Open Defecation: Urban: % of Urban Population data was reported at 0.000 % in 2015. This records a decrease from the previous number of 0.418 % for 2014. PK: People Practicing Open Defecation: Urban: % of Urban Population data is updated yearly, averaging 3.164 % from Dec 2000 (Median) to 2015, with 16 observations. The data reached an all-time high of 6.332 % in 2000 and a record low of 0.000 % in 2015. PK: People Practicing Open Defecation: Urban: % of Urban 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.WDI: Health Statistics. People practicing open defecation refers to the percentage of the population defecating in the open, such as in fields, forest, bushes, open bodies of water, on beaches, in other open spaces or disposed of with solid waste.; ; WHO/UNICEF Joint Monitoring Programme (JMP) for Water Supply and Sanitation (http://www.wssinfo.org/).; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 0.00 2015 | yearly | 2000 - 2015 |
View Pakistan's Pakistan PK: People Practicing Open Defecation: Urban: % of Urban Population from 2000 to 2015 in the chart:
Pakistan PK: People Using At Least Basic Drinking Water Services: % of Population
PK: People Using At Least Basic Drinking Water Services: % of Population data was reported at 88.546 % in 2015. This records a decrease from the previous number of 88.596 % for 2014. PK: People Using At Least Basic Drinking Water Services: % of Population data is updated yearly, averaging 88.826 % from Dec 2000 (Median) to 2015, with 16 observations. The data reached an all-time high of 88.937 % in 2000 and a record low of 88.546 % in 2015. PK: People Using At Least Basic Drinking Water Services: % of 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.WDI: Health Statistics. The percentage of people using at least basic water services. This indicator encompasses both people using basic water services as well as those using safely managed water services. Basic drinking water services is defined as drinking water from an improved source, provided collection time is not more than 30 minutes for a round trip. Improved water sources include piped water, boreholes or tubewells, protected dug wells, protected springs, and packaged or delivered water.; ; WHO/UNICEF Joint Monitoring Programme (JMP) for Water Supply, Sanitation and Hygiene (washdata.org).; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 88.55 2015 | yearly | 2000 - 2015 |
View Pakistan's Pakistan PK: People Using At Least Basic Drinking Water Services: % of Population from 2000 to 2015 in the chart:
Pakistan PK: People Using At Least Basic Drinking Water Services: Rural: % of Rural Population
PK: People Using At Least Basic Drinking Water Services: Rural: % of Rural Population data was reported at 86.642 % in 2015. This records an increase from the previous number of 86.505 % for 2014. PK: People Using At Least Basic Drinking Water Services: Rural: % of Rural Population data is updated yearly, averaging 85.613 % from Dec 2000 (Median) to 2015, with 16 observations. The data reached an all-time high of 86.642 % in 2015 and a record low of 84.585 % in 2000. PK: People Using At Least Basic Drinking Water Services: Rural: % of Rural 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.WDI: Health Statistics. The percentage of people using at least basic water services. This indicator encompasses both people using basic water services as well as those using safely managed water services. Basic drinking water services is defined as drinking water from an improved source, provided collection time is not more than 30 minutes for a round trip. Improved water sources include piped water, boreholes or tubewells, protected dug wells, protected springs, and packaged or delivered water.; ; WHO/UNICEF Joint Monitoring Programme (JMP) for Water Supply, Sanitation and Hygiene (washdata.org).; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 86.64 2015 | yearly | 2000 - 2015 |
View Pakistan's Pakistan PK: People Using At Least Basic Drinking Water Services: Rural: % of Rural Population from 2000 to 2015 in the chart:
Pakistan PK: People Using At Least Basic Drinking Water Services: Urban: % of Urban Population
PK: People Using At Least Basic Drinking Water Services: Urban: % of Urban Population data was reported at 91.553 % in 2015. This records a decrease from the previous number of 91.964 % for 2014. PK: People Using At Least Basic Drinking Water Services: Urban: % of Urban Population data is updated yearly, averaging 94.632 % from Dec 2000 (Median) to 2015, with 16 observations. The data reached an all-time high of 97.711 % in 2000 and a record low of 91.553 % in 2015. PK: People Using At Least Basic Drinking Water Services: Urban: % of Urban 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.WDI: Health Statistics. The percentage of people using at least basic water services. This indicator encompasses both people using basic water services as well as those using safely managed water services. Basic drinking water services is defined as drinking water from an improved source, provided collection time is not more than 30 minutes for a round trip. Improved water sources include piped water, boreholes or tubewells, protected dug wells, protected springs, and packaged or delivered water.; ; WHO/UNICEF Joint Monitoring Programme (JMP) for Water Supply, Sanitation and Hygiene (washdata.org).; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 91.55 2015 | yearly | 2000 - 2015 |
View Pakistan's Pakistan PK: People Using At Least Basic Drinking Water Services: Urban: % of Urban Population from 2000 to 2015 in the chart:
Pakistan PK: People Using At Least Basic Sanitation Services: % of Population
PK: People Using At Least Basic Sanitation Services: % of Population data was reported at 58.251 % in 2015. This records an increase from the previous number of 56.546 % for 2014. PK: People Using At Least Basic Sanitation Services: % of Population data is updated yearly, averaging 45.182 % from Dec 2000 (Median) to 2015, with 16 observations. The data reached an all-time high of 58.251 % in 2015 and a record low of 31.632 % in 2000. PK: People Using At Least Basic Sanitation Services: % of 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.WDI: Health Statistics. The percentage of people using at least basic sanitation services, that is, improved sanitation facilities that are not shared with other households. This indicator encompasses both people using basic sanitation services as well as those using safely managed sanitation services. Improved sanitation facilities include flush/pour flush to piped sewer systems, septic tanks or pit latrines; ventilated improved pit latrines, compositing toilets or pit latrines with slabs.; ; WHO/UNICEF Joint Monitoring Programme (JMP) for Water Supply, Sanitation and Hygiene (washdata.org).; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 58.25 2015 | yearly | 2000 - 2015 |
View Pakistan's Pakistan PK: People Using At Least Basic Sanitation Services: % of Population from 2000 to 2015 in the chart:
Pakistan PK: People Using At Least Basic Sanitation Services: Rural: % of Rural Population
PK: People Using At Least Basic Sanitation Services: Rural: % of Rural Population data was reported at 48.053 % in 2015. This records an increase from the previous number of 45.791 % for 2014. PK: People Using At Least Basic Sanitation Services: Rural: % of Rural Population data is updated yearly, averaging 31.088 % from Dec 2000 (Median) to 2015, with 16 observations. The data reached an all-time high of 48.053 % in 2015 and a record low of 14.123 % in 2000. PK: People Using At Least Basic Sanitation Services: Rural: % of Rural 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.WDI: Health Statistics. The percentage of people using at least basic sanitation services, that is, improved sanitation facilities that are not shared with other households. This indicator encompasses both people using basic sanitation services as well as those using safely managed sanitation services. Improved sanitation facilities include flush/pour flush to piped sewer systems, septic tanks or pit latrines; ventilated improved pit latrines, compositing toilets or pit latrines with slabs.; ; WHO/UNICEF Joint Monitoring Programme (JMP) for Water Supply, Sanitation and Hygiene (washdata.org).; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 48.05 2015 | yearly | 2000 - 2015 |
View Pakistan's Pakistan PK: People Using At Least Basic Sanitation Services: Rural: % of Rural Population from 2000 to 2015 in the chart:
Pakistan PK: People Using At Least Basic Sanitation Services: Urban: % of Urban Population
PK: People Using At Least Basic Sanitation Services: Urban: % of Urban Population data was reported at 74.366 % in 2015. This records an increase from the previous number of 73.871 % for 2014. PK: People Using At Least Basic Sanitation Services: Urban: % of Urban Population data is updated yearly, averaging 70.649 % from Dec 2000 (Median) to 2015, with 16 observations. The data reached an all-time high of 74.366 % in 2015 and a record low of 66.932 % in 2000. PK: People Using At Least Basic Sanitation Services: Urban: % of Urban 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.WDI: Health Statistics. The percentage of people using at least basic sanitation services, that is, improved sanitation facilities that are not shared with other households. This indicator encompasses both people using basic sanitation services as well as those using safely managed sanitation services. Improved sanitation facilities include flush/pour flush to piped sewer systems, septic tanks or pit latrines; ventilated improved pit latrines, compositing toilets or pit latrines with slabs.; ; WHO/UNICEF Joint Monitoring Programme (JMP) for Water Supply, Sanitation and Hygiene (washdata.org).; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 74.37 2015 | yearly | 2000 - 2015 |
View Pakistan's Pakistan PK: People Using At Least Basic Sanitation Services: Urban: % of Urban Population from 2000 to 2015 in the chart:
Pakistan PK: People Using Safely Managed Drinking Water Services: % of Population
PK: People Using Safely Managed Drinking Water Services: % of Population data was reported at 35.638 % in 2015. This records a decrease from the previous number of 35.889 % for 2014. PK: People Using Safely Managed Drinking Water Services: % of Population data is updated yearly, averaging 37.419 % from Dec 2000 (Median) to 2015, with 16 observations. The data reached an all-time high of 38.185 % in 2004 and a record low of 35.638 % in 2015. PK: People Using Safely Managed Drinking Water Services: % of 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.WDI: Health Statistics. The percentage of people using drinking water from an improved source that is accessible on premises, available when needed and free from faecal and priority chemical contamination. Improved water sources include piped water, boreholes or tubewells, protected dug wells, protected springs, and packaged or delivered water.; ; WHO/UNICEF Joint Monitoring Programme (JMP) for Water Supply, Sanitation and Hygiene (washdata.org).; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 35.64 2015 | yearly | 2000 - 2015 |
View Pakistan's Pakistan PK: People Using Safely Managed Drinking Water Services: % of Population from 2000 to 2015 in the chart:
Pakistan PK: People Using Safely Managed Drinking Water Services: Rural: % of Rural Population
PK: People Using Safely Managed Drinking Water Services: Rural: % of Rural Population data was reported at 32.419 % in 2015. This records an increase from the previous number of 32.368 % for 2014. PK: People Using Safely Managed Drinking Water Services: Rural: % of Rural Population data is updated yearly, averaging 32.035 % from Dec 2000 (Median) to 2015, with 16 observations. The data reached an all-time high of 32.419 % in 2015 and a record low of 31.650 % in 2000. PK: People Using Safely Managed Drinking Water Services: Rural: % of Rural 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.WDI: Health Statistics. The percentage of people using drinking water from an improved source that is accessible on premises, available when needed and free from faecal and priority chemical contamination. Improved water sources include piped water, boreholes or tubewells, protected dug wells, protected springs, and packaged or delivered water.; ; WHO/UNICEF Joint Monitoring Programme (JMP) for Water Supply, Sanitation and Hygiene (washdata.org).; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 32.42 2015 | yearly | 2000 - 2015 |
View Pakistan's Pakistan PK: People Using Safely Managed Drinking Water Services: Rural: % of Rural Population from 2000 to 2015 in the chart:
Pakistan PK: People Using Safely Managed Drinking Water Services: Urban: % of Urban Population
PK: People Using Safely Managed Drinking Water Services: Urban: % of Urban Population data was reported at 40.724 % in 2015. This records a decrease from the previous number of 41.562 % for 2014. PK: People Using Safely Managed Drinking Water Services: Urban: % of Urban Population data is updated yearly, averaging 47.151 % from Dec 2000 (Median) to 2015, with 16 observations. The data reached an all-time high of 51.121 % in 2000 and a record low of 40.724 % in 2015. PK: People Using Safely Managed Drinking Water Services: Urban: % of Urban 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.WDI: Health Statistics. The percentage of people using drinking water from an improved source that is accessible on premises, available when needed and free from faecal and priority chemical contamination. Improved water sources include piped water, boreholes or tubewells, protected dug wells, protected springs, and packaged or delivered water.; ; WHO/UNICEF Joint Monitoring Programme (JMP) for Water Supply, Sanitation and Hygiene (washdata.org).; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 40.72 2015 | yearly | 2000 - 2015 |
View Pakistan's Pakistan PK: People Using Safely Managed Drinking Water Services: Urban: % of Urban Population from 2000 to 2015 in the chart:
Pakistan PK: People with Basic Handwashing Facilities Including Soap and Water: % of Population
PK: People with Basic Handwashing Facilities Including Soap and Water: % of Population data was reported at 60.468 % in 2015. This records an increase from the previous number of 60.299 % for 2014. PK: People with Basic Handwashing Facilities Including Soap and Water: % of Population data is updated yearly, averaging 59.974 % from Dec 2009 (Median) to 2015, with 7 observations. The data reached an all-time high of 60.468 % in 2015 and a record low of 59.517 % in 2009. PK: People with Basic Handwashing Facilities Including Soap and Water: % of 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. The percentage of people living in households that have a handwashing facility with soap and water available on the premises. Handwashing facilities may be fixed or mobile and include a sink with tap water, buckets with taps, tippy-taps, and jugs or basins designated for handwashing. Soap includes bar soap, liquid soap, powder detergent, and soapy water but does not include ash, soil, sand or other handwashing agents.; ; WHO/UNICEF Joint Monitoring Programme (JMP) for Water Supply, Sanitation and Hygiene (washdata.org).; ;
| Last | Frequency | Range |
|---|---|---|
| 60.47 2015 | yearly | 2009 - 2015 |
View Pakistan's Pakistan PK: People with Basic Handwashing Facilities Including Soap and Water: % of Population from 2009 to 2015 in the chart:
Pakistan PK: People with Basic Handwashing Facilities Including Soap and Water: Rural: % of Rural Population
PK: People with Basic Handwashing Facilities Including Soap and Water: Rural: % of Rural Population data was reported at 46.053 % in 2015. This stayed constant from the previous number of 46.053 % for 2014. PK: People with Basic Handwashing Facilities Including Soap and Water: Rural: % of Rural Population data is updated yearly, averaging 46.053 % from Dec 2009 (Median) to 2015, with 7 observations. The data reached an all-time high of 46.053 % in 2015 and a record low of 46.053 % in 2015. PK: People with Basic Handwashing Facilities Including Soap and Water: Rural: % of Rural 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. The percentage of people living in households that have a handwashing facility with soap and water available on the premises. Handwashing facilities may be fixed or mobile and include a sink with tap water, buckets with taps, tippy-taps, and jugs or basins designated for handwashing. Soap includes bar soap, liquid soap, powder detergent, and soapy water but does not include ash, soil, sand or other handwashing agents.; ; WHO/UNICEF Joint Monitoring Programme (JMP) for Water Supply, Sanitation and Hygiene (washdata.org).; ;
| Last | Frequency | Range |
|---|---|---|
| 46.05 2015 | yearly | 2009 - 2015 |
View Pakistan's Pakistan PK: People with Basic Handwashing Facilities Including Soap and Water: Rural: % of Rural Population from 2009 to 2015 in the chart:
Pakistan PK: People with Basic Handwashing Facilities Including Soap and Water: Urban: % of Urban Population
PK: People with Basic Handwashing Facilities Including Soap and Water: Urban: % of Urban Population data was reported at 83.245 % in 2015. This stayed constant from the previous number of 83.245 % for 2014. PK: People with Basic Handwashing Facilities Including Soap and Water: Urban: % of Urban Population data is updated yearly, averaging 83.245 % from Dec 2009 (Median) to 2015, with 7 observations. The data reached an all-time high of 83.245 % in 2015 and a record low of 83.245 % in 2015. PK: People with Basic Handwashing Facilities Including Soap and Water: Urban: % of Urban 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. The percentage of people living in households that have a handwashing facility with soap and water available on the premises. Handwashing facilities may be fixed or mobile and include a sink with tap water, buckets with taps, tippy-taps, and jugs or basins designated for handwashing. Soap includes bar soap, liquid soap, powder detergent, and soapy water but does not include ash, soil, sand or other handwashing agents.; ; WHO/UNICEF Joint Monitoring Programme (JMP) for Water Supply, Sanitation and Hygiene (washdata.org).; ;
| Last | Frequency | Range |
|---|---|---|
| 83.25 2015 | yearly | 2009 - 2015 |
View Pakistan's Pakistan PK: People with Basic Handwashing Facilities Including Soap and Water: Urban: % of Urban Population from 2009 to 2015 in the chart:
Pakistan PK: Physicians: per 1000 People
PK: Physicians: per 1000 People data was reported at 0.978 Ratio in 2015. This records an increase from the previous number of 0.806 Ratio for 2014. PK: Physicians: per 1000 People data is updated yearly, averaging 0.600 Ratio from Dec 1960 (Median) to 2015, with 28 observations. The data reached an all-time high of 0.978 Ratio in 2015 and a record low of 0.185 Ratio in 1960. PK: Physicians: 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: Health Statistics. Physicians include generalist and specialist medical practitioners.; ; World Health Organization's Global Health Workforce Statistics, OECD, supplemented by country data.; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 0.98 2015 | yearly | 1960 - 2015 |
View Pakistan's Pakistan PK: Physicians: per 1000 People from 1960 to 2015 in the chart:
Pakistan PK: Pregnant Women Receiving Prenatal Care
PK: Pregnant Women Receiving Prenatal Care data was reported at 73.100 % in 2013. This records an increase from the previous number of 68.000 % for 2012. PK: Pregnant Women Receiving Prenatal Care data is updated yearly, averaging 49.650 % from Dec 1991 (Median) to 2013, with 10 observations. The data reached an all-time high of 73.100 % in 2013 and a record low of 24.800 % in 1999. PK: Pregnant Women Receiving Prenatal Care 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. Pregnant women receiving prenatal care are the percentage of women attended at least once during pregnancy by skilled health personnel for reasons related to pregnancy.; ; UNICEF, State of the World's Children, Childinfo, and Demographic and Health Surveys.; Weighted average; Good prenatal and postnatal care improve maternal health and reduce maternal and infant mortality.
| Last | Frequency | Range |
|---|---|---|
| 73.10 2013 | yearly | 1991 - 2013 |
View Pakistan's Pakistan PK: Pregnant Women Receiving Prenatal Care from 1991 to 2013 in the chart:
Pakistan PK: Prevalence of Anemia among Children: % of Children Under 5
PK: Prevalence of Anemia among Children: % of Children Under 5 data was reported at 58.800 % in 2016. This records an increase from the previous number of 58.500 % for 2015. PK: Prevalence of Anemia among Children: % of Children Under 5 data is updated yearly, averaging 58.200 % from Dec 1990 (Median) to 2016, with 27 observations. The data reached an all-time high of 70.800 % in 1990 and a record low of 56.300 % in 2007. PK: Prevalence of Anemia among Children: % of Children Under 5 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. Prevalence of anemia, children under age 5, is the percentage of children under age 5 whose hemoglobin level is less than 110 grams per liter at sea level.; ; World Health Organization, Global Health Observatory Data Repository/World Health Statistics (http://apps.who.int/gho/data/node.main.1?lang=en).; Weighted average; Anemia is defined as a low blood haemoglobin concentration. Anaemia may result from a number of causes, with the most significant contributor being iron deficiency. Anaemia resulting from iron deficiency adversely affects cognitive and motor development and causes fatigue and low productivity. Children under age 5 and pregnant women have the highest risk for anemia.
| Last | Frequency | Range |
|---|---|---|
| 58.80 2016 | yearly | 1990 - 2016 |
View Pakistan's Pakistan PK: Prevalence of Anemia among Children: % of Children Under 5 from 1990 to 2016 in the chart:
Pakistan PK: Prevalence of Anemia among Non-Pregnant Women: % of Women Aged 15-49
PK: Prevalence of Anemia among Non-Pregnant Women: % of Women Aged 15-49 data was reported at 52.200 % in 2016. This records an increase from the previous number of 51.400 % for 2015. PK: Prevalence of Anemia among Non-Pregnant Women: % of Women Aged 15-49 data is updated yearly, averaging 49.800 % from Dec 1990 (Median) to 2016, with 27 observations. The data reached an all-time high of 54.100 % in 1990 and a record low of 48.900 % in 2003. PK: Prevalence of Anemia among Non-Pregnant Women: % of Women Aged 15-49 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. Prevalence of anemia, non-pregnant women, is the percentage of non-pregnant women whose hemoglobin level is less than 120 grams per liter at sea level.; ; World Health Organization, Global Health Observatory Data Repository/World Health Statistics (http://apps.who.int/gho/data/node.main.1?lang=en).; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 52.20 2016 | yearly | 1990 - 2016 |
View Pakistan's Pakistan PK: Prevalence of Anemia among Non-Pregnant Women: % of Women Aged 15-49 from 1990 to 2016 in the chart:
Pakistan PK: Prevalence of Anemia among Pregnant Women: %
PK: Prevalence of Anemia among Pregnant Women: % data was reported at 51.300 % in 2016. This records an increase from the previous number of 50.800 % for 2015. PK: Prevalence of Anemia among Pregnant Women: % data is updated yearly, averaging 48.800 % from Dec 1990 (Median) to 2016, with 27 observations. The data reached an all-time high of 51.300 % in 2016 and a record low of 47.400 % in 2002. PK: Prevalence of Anemia among Pregnant Women: % 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. Prevalence of anemia, pregnant women, is the percentage of pregnant women whose hemoglobin level is less than 110 grams per liter at sea level.; ; World Health Organization, Global Health Observatory Data Repository/World Health Statistics (http://apps.who.int/gho/data/node.main.1?lang=en).; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 51.30 2016 | yearly | 1990 - 2016 |
View Pakistan's Pakistan PK: Prevalence of Anemia among Pregnant Women: % from 1990 to 2016 in the chart:
Pakistan PK: Prevalence of Anemia among Women of Reproductive Age: % of Women Aged 15-49
PK: Prevalence of Anemia among Women of Reproductive Age: % of Women Aged 15-49 data was reported at 52.100 % in 2016. This records an increase from the previous number of 51.400 % for 2015. PK: Prevalence of Anemia among Women of Reproductive Age: % of Women Aged 15-49 data is updated yearly, averaging 49.800 % from Dec 1990 (Median) to 2016, with 27 observations. The data reached an all-time high of 53.600 % in 1990 and a record low of 48.800 % in 2003. PK: Prevalence of Anemia among Women of Reproductive Age: % of Women Aged 15-49 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. Prevalence of anemia among women of reproductive age refers to the combined prevalence of both non-pregnant with haemoglobin levels below 12 g/dL and pregnant women with haemoglobin levels below 11 g/dL.; ; World Health Organization, Global Health Observatory Data Repository/World Health Statistics (http://apps.who.int/gho/data/node.main.1?lang=en).; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 52.10 2016 | yearly | 1990 - 2016 |
View Pakistan's Pakistan PK: Prevalence of Anemia among Women of Reproductive Age: % of Women Aged 15-49 from 1990 to 2016 in the chart:
Pakistan PK: Prevalence of HIV: Female: % Aged 15-24
PK: Prevalence of HIV: Female: % Aged 15-24 data was reported at 0.100 % in 2016. This stayed constant from the previous number of 0.100 % for 2015. PK: Prevalence of HIV: Female: % Aged 15-24 data is updated yearly, averaging 0.100 % from Dec 1990 (Median) to 2016, with 27 observations. The data reached an all-time high of 0.100 % in 2016 and a record low of 0.100 % in 2016. PK: Prevalence of HIV: Female: % 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: Health Statistics. Prevalence of HIV, female is the percentage of females who are infected with HIV. Youth rates are as a percentage of the relevant age group.; ; UNAIDS estimates.; Weighted average; In many developing countries most new infections occur in young adults, with young women especially vulnerable.
| Last | Frequency | Range |
|---|---|---|
| 0.10 2016 | yearly | 1990 - 2016 |
View Pakistan's Pakistan PK: Prevalence of HIV: Female: % Aged 15-24 from 1990 to 2016 in the chart:
Pakistan PK: Prevalence of HIV: Male: % Aged 15-24
PK: Prevalence of HIV: Male: % Aged 15-24 data was reported at 0.100 % in 2016. This stayed constant from the previous number of 0.100 % for 2015. PK: Prevalence of HIV: Male: % Aged 15-24 data is updated yearly, averaging 0.100 % from Dec 1990 (Median) to 2016, with 27 observations. The data reached an all-time high of 0.100 % in 2016 and a record low of 0.100 % in 2016. PK: Prevalence of HIV: Male: % 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: Health Statistics. Prevalence of HIV, male is the percentage of males who are infected with HIV. Youth rates are as a percentage of the relevant age group.; ; UNAIDS estimates.; Weighted average; In many developing countries most new infections occur in young adults, with young women being especially vulnerable.
| Last | Frequency | Range |
|---|---|---|
| 0.10 2016 | yearly | 1990 - 2016 |
View Pakistan's Pakistan PK: Prevalence of HIV: Male: % Aged 15-24 from 1990 to 2016 in the chart:
Pakistan PK: Prevalence of HIV: Total: % of Population Aged 15-49
PK: Prevalence of HIV: Total: % of Population Aged 15-49 data was reported at 0.100 % in 2016. This stayed constant from the previous number of 0.100 % for 2015. PK: Prevalence of HIV: Total: % of Population Aged 15-49 data is updated yearly, averaging 0.100 % from Dec 1990 (Median) to 2016, with 27 observations. The data reached an all-time high of 0.100 % in 2016 and a record low of 0.100 % in 2016. PK: Prevalence of HIV: Total: % of Population Aged 15-49 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. Prevalence of HIV refers to the percentage of people ages 15-49 who are infected with HIV.; ; UNAIDS estimates.; Weighted Average;
| Last | Frequency | Range |
|---|---|---|
| 0.10 2016 | yearly | 1990 - 2016 |
View Pakistan's Pakistan PK: Prevalence of HIV: Total: % of Population Aged 15-49 from 1990 to 2016 in the chart:
Pakistan PK: Prevalence of Overweight: Weight for Height: % of Children Under 5
PK: Prevalence of Overweight: Weight for Height: % of Children Under 5 data was reported at 4.800 % in 2012. This records a decrease from the previous number of 6.400 % for 2011. PK: Prevalence of Overweight: Weight for Height: % of Children Under 5 data is updated yearly, averaging 5.100 % from Dec 1986 (Median) to 2012, with 6 observations. The data reached an all-time high of 7.800 % in 1986 and a record low of 1.600 % in 1992. PK: Prevalence of Overweight: Weight for Height: % of Children Under 5 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. Prevalence of overweight children is the percentage of children under age 5 whose weight for height is more than two standard deviations above the median for the international reference population of the corresponding age as established by the WHO's new child growth standards released in 2006.; ; UNICEF, WHO, World Bank: Joint child malnutrition estimates (JME). Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data) and methodology.; Linear mixed-effect model estimates; Estimates of overweight children are also from national survey data. Once considered only a high-income economy problem, overweight children have become a growing concern in developing countries. Research shows an association between childhood obesity and a high prevalence of diabetes, respiratory disease, high blood pressure, and psychosocial and orthopedic disorders (de Onis and Blössner 2003). Childhood obesity is associated with a higher chance of obesity, premature death, and disability in adulthood. In addition to increased future risks, obese children experience breathing difficulties and increased risk of fractures, hypertension, early markers of cardiovascular disease, insulin resistance, and psychological effects. Children in low- and middle-income countries are more vulnerable to inadequate nutrition before birth and in infancy and early childhood. Many of these children are exposed to high-fat, high-sugar, high-salt, calorie-dense, micronutrient-poor foods, which tend be lower in cost than more nutritious foods. These dietary patterns, in conjunction with low levels of physical activity, result in sharp increases in childhood obesity, while under-nutrition continues
| Last | Frequency | Range |
|---|---|---|
| 4.80 2012 | yearly | 1986 - 2012 |
View Pakistan's Pakistan PK: Prevalence of Overweight: Weight for Height: % of Children Under 5 from 1986 to 2012 in the chart:
Pakistan PK: Prevalence of Overweight: Weight for Height: Female: % of Children Under 5
PK: Prevalence of Overweight: Weight for Height: Female: % of Children Under 5 data was reported at 4.800 % in 2012. This records a decrease from the previous number of 6.100 % for 2011. PK: Prevalence of Overweight: Weight for Height: Female: % of Children Under 5 data is updated yearly, averaging 4.800 % from Dec 1991 (Median) to 2012, with 5 observations. The data reached an all-time high of 6.100 % in 2011 and a record low of 2.000 % in 1994. PK: Prevalence of Overweight: Weight for Height: Female: % of Children Under 5 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. Prevalence of overweight, female, is the percentage of girls under age 5 whose weight for height is more than two standard deviations above the median for the international reference population of the corresponding age as established by the WHO's new child growth standards released in 2006.; ; World Health Organization, Global Database on Child Growth and Malnutrition. Country-level data are unadjusted data from national surveys, and thus may not be comparable across countries.; Linear mixed-effect model estimates; Estimates of overweight children are also from national survey data. Once considered only a high-income economy problem, overweight children have become a growing concern in developing countries. Research shows an association between childhood obesity and a high prevalence of diabetes, respiratory disease, high blood pressure, and psychosocial and orthopedic disorders (de Onis and Blössner 2003). Childhood obesity is associated with a higher chance of obesity, premature death, and disability in adulthood. In addition to increased future risks, obese children experience breathing difficulties and increased risk of fractures, hypertension, early markers of cardiovascular disease, insulin resistance, and psychological effects. Children in low- and middle-income countries are more vulnerable to inadequate nutrition before birth and in infancy and early childhood. Many of these children are exposed to high-fat, high-sugar, high-salt, calorie-dense, micronutrient-poor foods, which tend be lower in cost than more nutritious foods. These dietary patterns, in conjunction with low levels of physical activity, result in sharp increases in childhood obesity, while under-nutrition continues
| Last | Frequency | Range |
|---|---|---|
| 4.80 2012 | yearly | 1991 - 2012 |
View Pakistan's Pakistan PK: Prevalence of Overweight: Weight for Height: Female: % of Children Under 5 from 1991 to 2012 in the chart:
Pakistan PK: Prevalence of Overweight: Weight for Height: Male: % of Children Under 5
PK: Prevalence of Overweight: Weight for Height: Male: % of Children Under 5 data was reported at 4.700 % in 2012. This records a decrease from the previous number of 6.600 % for 2011. PK: Prevalence of Overweight: Weight for Height: Male: % of Children Under 5 data is updated yearly, averaging 4.800 % from Dec 1991 (Median) to 2012, with 5 observations. The data reached an all-time high of 6.600 % in 2011 and a record low of 1.300 % in 1994. PK: Prevalence of Overweight: Weight for Height: Male: % of Children Under 5 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. Prevalence of overweight, male, is the percentage of boys under age 5 whose weight for height is more than two standard deviations above the median for the international reference population of the corresponding age as established by the WHO's new child growth standards released in 2006.; ; World Health Organization, Global Database on Child Growth and Malnutrition. Country-level data are unadjusted data from national surveys, and thus may not be comparable across countries.; Linear mixed-effect model estimates; Estimates of overweight children are also from national survey data. Once considered only a high-income economy problem, overweight children have become a growing concern in developing countries. Research shows an association between childhood obesity and a high prevalence of diabetes, respiratory disease, high blood pressure, and psychosocial and orthopedic disorders (de Onis and Blössner 2003). Childhood obesity is associated with a higher chance of obesity, premature death, and disability in adulthood. In addition to increased future risks, obese children experience breathing difficulties and increased risk of fractures, hypertension, early markers of cardiovascular disease, insulin resistance, and psychological effects. Children in low- and middle-income countries are more vulnerable to inadequate nutrition before birth and in infancy and early childhood. Many of these children are exposed to high-fat, high-sugar, high-salt, calorie-dense, micronutrient-poor foods, which tend be lower in cost than more nutritious foods. These dietary patterns, in conjunction with low levels of physical activity, result in sharp increases in childhood obesity, while under-nutrition continues
| Last | Frequency | Range |
|---|---|---|
| 4.70 2012 | yearly | 1991 - 2012 |
View Pakistan's Pakistan PK: Prevalence of Overweight: Weight for Height: Male: % of Children Under 5 from 1991 to 2012 in the chart:
Pakistan PK: Prevalence of Severe Wasting: Weight for Height: % of Children under 5
PK: Prevalence of Severe Wasting: Weight for Height: % of Children under 5 data was reported at 3.300 % in 2012. This records a decrease from the previous number of 5.700 % for 2011. PK: Prevalence of Severe Wasting: Weight for Height: % of Children under 5 data is updated yearly, averaging 5.000 % from Dec 1991 (Median) to 2012, with 5 observations. The data reached an all-time high of 5.900 % in 2001 and a record low of 3.300 % in 2012. PK: Prevalence of Severe Wasting: Weight for Height: % of Children under 5 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. Prevalence of severe wasting is the proportion of children under age 5 whose weight for height is more than three standard deviations below the median for the international reference population ages 0-59.; ; UNICEF, WHO, World Bank: Joint child malnutrition estimates (JME). Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data) and methodology.; Linear mixed-effect model estimates; Undernourished children have lower resistance to infection and are more likely to die from common childhood ailments such as diarrheal diseases and respiratory infections. Frequent illness saps the nutritional status of those who survive, locking them into a vicious cycle of recurring sickness and faltering growth (UNICEF, www.childinfo.org). Estimates of child malnutrition, based on prevalence of underweight and stunting, are from national survey data. The proportion of underweight children is the most common malnutrition indicator. Being even mildly underweight increases the risk of death and inhibits cognitive development in children. And it perpetuates the problem across generations, as malnourished women are more likely to have low-birth-weight babies. Stunting, or being below median height for age, is often used as a proxy for multifaceted deprivation and as an indicator of long-term changes in malnutrition.
| Last | Frequency | Range |
|---|---|---|
| 3.30 2012 | yearly | 1991 - 2012 |
View Pakistan's Pakistan PK: Prevalence of Severe Wasting: Weight for Height: % of Children under 5 from 1991 to 2012 in the chart:
Pakistan PK: Prevalence of Severe Wasting: Weight for Height: Female: % of Children under 5
PK: Prevalence of Severe Wasting: Weight for Height: Female: % of Children under 5 data was reported at 2.900 % in 2012. This records a decrease from the previous number of 5.200 % for 2011. PK: Prevalence of Severe Wasting: Weight for Height: Female: % of Children under 5 data is updated yearly, averaging 5.200 % from Dec 1991 (Median) to 2012, with 5 observations. The data reached an all-time high of 5.500 % in 2001 and a record low of 2.900 % in 2012. PK: Prevalence of Severe Wasting: Weight for Height: Female: % of Children under 5 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. Prevalence of severe wasting, female, is the proportion of girls under age 5 whose weight for height is more than three standard deviations below the median for the international reference population ages 0-59.; ; World Health Organization, Global Database on Child Growth and Malnutrition. Country-level data are unadjusted data from national surveys, and thus may not be comparable across countries.; Linear mixed-effect model estimates; Undernourished children have lower resistance to infection and are more likely to die from common childhood ailments such as diarrheal diseases and respiratory infections. Frequent illness saps the nutritional status of those who survive, locking them into a vicious cycle of recurring sickness and faltering growth (UNICEF, www.childinfo.org). Estimates of child malnutrition, based on prevalence of underweight and stunting, are from national survey data. The proportion of underweight children is the most common malnutrition indicator. Being even mildly underweight increases the risk of death and inhibits cognitive development in children. And it perpetuates the problem across generations, as malnourished women are more likely to have low-birth-weight babies. Stunting, or being below median height for age, is often used as a proxy for multifaceted deprivation and as an indicator of long-term changes in malnutrition.
| Last | Frequency | Range |
|---|---|---|
| 2.90 2012 | yearly | 1991 - 2012 |
View Pakistan's Pakistan PK: Prevalence of Severe Wasting: Weight for Height: Female: % of Children under 5 from 1991 to 2012 in the chart:
Pakistan PK: Prevalence of Severe Wasting: Weight for Height: Male: % of Children under 5
PK: Prevalence of Severe Wasting: Weight for Height: Male: % of Children under 5 data was reported at 3.800 % in 2012. This records a decrease from the previous number of 6.200 % for 2011. PK: Prevalence of Severe Wasting: Weight for Height: Male: % of Children under 5 data is updated yearly, averaging 5.600 % from Dec 1991 (Median) to 2012, with 5 observations. The data reached an all-time high of 6.200 % in 2011 and a record low of 3.800 % in 2012. PK: Prevalence of Severe Wasting: Weight for Height: Male: % of Children under 5 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. Prevalence of severe wasting, male, is the proportion of boys under age 5 whose weight for height is more than three standard deviations below the median for the international reference population ages 0-59.; ; World Health Organization, Global Database on Child Growth and Malnutrition. Country-level data are unadjusted data from national surveys, and thus may not be comparable across countries.; Linear mixed-effect model estimates; Undernourished children have lower resistance to infection and are more likely to die from common childhood ailments such as diarrheal diseases and respiratory infections. Frequent illness saps the nutritional status of those who survive, locking them into a vicious cycle of recurring sickness and faltering growth (UNICEF, www.childinfo.org). Estimates of child malnutrition, based on prevalence of underweight and stunting, are from national survey data. The proportion of underweight children is the most common malnutrition indicator. Being even mildly underweight increases the risk of death and inhibits cognitive development in children. And it perpetuates the problem across generations, as malnourished women are more likely to have low-birth-weight babies. Stunting, or being below median height for age, is often used as a proxy for multifaceted deprivation and as an indicator of long-term changes in malnutrition.
| Last | Frequency | Range |
|---|---|---|
| 3.80 2012 | yearly | 1991 - 2012 |
View Pakistan's Pakistan PK: Prevalence of Severe Wasting: Weight for Height: Male: % of Children under 5 from 1991 to 2012 in the chart:
Pakistan PK: Prevalence of Stunting: Height for Age: % of Children Under 5
PK: Prevalence of Stunting: Height for Age: % of Children Under 5 data was reported at 45.000 % in 2012. This records an increase from the previous number of 43.000 % for 2011. PK: Prevalence of Stunting: Height for Age: % of Children Under 5 data is updated yearly, averaging 44.000 % from Dec 1986 (Median) to 2012, with 6 observations. The data reached an all-time high of 62.500 % in 1986 and a record low of 41.500 % in 2001. PK: Prevalence of Stunting: Height for Age: % of Children Under 5 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. Prevalence of stunting is the percentage of children under age 5 whose height for age is more than two standard deviations below the median for the international reference population ages 0-59 months. For children up to two years old height is measured by recumbent length. For older children height is measured by stature while standing. The data are based on the WHO's new child growth standards released in 2006.; ; UNICEF, WHO, World Bank: Joint child malnutrition estimates (JME). Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data) and methodology.; Linear mixed-effect model estimates; Undernourished children have lower resistance to infection and are more likely to die from common childhood ailments such as diarrheal diseases and respiratory infections. Frequent illness saps the nutritional status of those who survive, locking them into a vicious cycle of recurring sickness and faltering growth (UNICEF, www.childinfo.org). Estimates of child malnutrition, based on prevalence of underweight and stunting, are from national survey data. The proportion of underweight children is the most common malnutrition indicator. Being even mildly underweight increases the risk of death and inhibits cognitive development in children. And it perpetuates the problem across generations, as malnourished women are more likely to have low-birth-weight babies. Stunting, or being below median height for age, is often used as a proxy for multifaceted deprivation and as an indicator of long-term changes in malnutrition.
| Last | Frequency | Range |
|---|---|---|
| 45.00 2012 | yearly | 1986 - 2012 |
View Pakistan's Pakistan PK: Prevalence of Stunting: Height for Age: % of Children Under 5 from 1986 to 2012 in the chart:
Pakistan PK: Prevalence of Stunting: Height for Age: Female: % of Children Under 5
PK: Prevalence of Stunting: Height for Age: Female: % of Children Under 5 data was reported at 41.700 % in 2012. This records a decrease from the previous number of 42.000 % for 2011. PK: Prevalence of Stunting: Height for Age: Female: % of Children Under 5 data is updated yearly, averaging 42.000 % from Dec 1991 (Median) to 2012, with 5 observations. The data reached an all-time high of 52.100 % in 1991 and a record low of 40.800 % in 2001. PK: Prevalence of Stunting: Height for Age: Female: % of Children Under 5 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. Prevalence of stunting, female, is the percentage of girls under age 5 whose height for age is more than two standard deviations below the median for the international reference population ages 0-59 months. For children up to two years old height is measured by recumbent length. For older children height is measured by stature while standing. The data are based on the WHO's new child growth standards released in 2006.; ; World Health Organization, Global Database on Child Growth and Malnutrition. Country-level data are unadjusted data from national surveys, and thus may not be comparable across countries.; Linear mixed-effect model estimates; Undernourished children have lower resistance to infection and are more likely to die from common childhood ailments such as diarrheal diseases and respiratory infections. Frequent illness saps the nutritional status of those who survive, locking them into a vicious cycle of recurring sickness and faltering growth (UNICEF, www.childinfo.org). Estimates of child malnutrition, based on prevalence of underweight and stunting, are from national survey data. The proportion of underweight children is the most common malnutrition indicator. Being even mildly underweight increases the risk of death and inhibits cognitive development in children. And it perpetuates the problem across generations, as malnourished women are more likely to have low-birth-weight babies. Stunting, or being below median height for age, is often used as a proxy for multifaceted deprivation and as an indicator of long-term changes in malnutrition.
| Last | Frequency | Range |
|---|---|---|
| 41.70 2012 | yearly | 1991 - 2012 |
View Pakistan's Pakistan PK: Prevalence of Stunting: Height for Age: Female: % of Children Under 5 from 1991 to 2012 in the chart:
Pakistan PK: Prevalence of Stunting: Height for Age: Male: % of Children Under 5
PK: Prevalence of Stunting: Height for Age: Male: % of Children Under 5 data was reported at 48.400 % in 2012. This records an increase from the previous number of 43.800 % for 2011. PK: Prevalence of Stunting: Height for Age: Male: % of Children Under 5 data is updated yearly, averaging 43.800 % from Dec 1991 (Median) to 2012, with 5 observations. The data reached an all-time high of 56.700 % in 1991 and a record low of 42.200 % in 2001. PK: Prevalence of Stunting: Height for Age: Male: % of Children Under 5 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. Prevalence of stunting, male, is the percentage of boys under age 5 whose height for age is more than two standard deviations below the median for the international reference population ages 0-59 months. For children up to two years old height is measured by recumbent length. For older children height is measured by stature while standing. The data are based on the WHO's new child growth standards released in 2006.; ; World Health Organization, Global Database on Child Growth and Malnutrition. Country-level data are unadjusted data from national surveys, and thus may not be comparable across countries.; Linear mixed-effect model estimates; Undernourished children have lower resistance to infection and are more likely to die from common childhood ailments such as diarrheal diseases and respiratory infections. Frequent illness saps the nutritional status of those who survive, locking them into a vicious cycle of recurring sickness and faltering growth (UNICEF, www.childinfo.org). Estimates of child malnutrition, based on prevalence of underweight and stunting, are from national survey data. The proportion of underweight children is the most common malnutrition indicator. Being even mildly underweight increases the risk of death and inhibits cognitive development in children. And it perpetuates the problem across generations, as malnourished women are more likely to have low-birth-weight babies. Stunting, or being below median height for age, is often used as a proxy for multifaceted deprivation and as an indicator of long-term changes in malnutrition.
| Last | Frequency | Range |
|---|---|---|
| 48.40 2012 | yearly | 1991 - 2012 |
View Pakistan's Pakistan PK: Prevalence of Stunting: Height for Age: Male: % of Children Under 5 from 1991 to 2012 in the chart:
Pakistan PK: Prevalence of Undernourishment: % of Population
PK: Prevalence of Undernourishment: % of Population data was reported at 20.500 % in 2016. This records a decrease from the previous number of 20.900 % for 2015. PK: Prevalence of Undernourishment: % of Population data is updated yearly, averaging 21.300 % from Dec 2000 (Median) to 2016, with 17 observations. The data reached an all-time high of 25.800 % in 2002 and a record low of 20.500 % in 2016. PK: Prevalence of Undernourishment: % of 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.WDI: Health Statistics. Population below minimum level of dietary energy consumption (also referred to as prevalence of undernourishment) shows the percentage of the population whose food intake is insufficient to meet dietary energy requirements continuously. Data showing as 5 may signify a prevalence of undernourishment below 5%.; ; Food and Agriculture Organization (http://www.fao.org/publications/en/).; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 19.90 2015 | yearly | 2000 - 2015 |
View Pakistan's Pakistan PK: Prevalence of Undernourishment: % of Population from 2000 to 2015 in the chart:
Pakistan PK: Prevalence of Underweight: Weight for Age: % of Children Under 5
PK: Prevalence of Underweight: Weight for Age: % of Children Under 5 data was reported at 31.600 % in 2012. This records an increase from the previous number of 30.900 % for 2011. PK: Prevalence of Underweight: Weight for Age: % of Children Under 5 data is updated yearly, averaging 34.200 % from Dec 1986 (Median) to 2012, with 7 observations. The data reached an all-time high of 44.400 % in 1986 and a record low of 30.900 % in 2011. PK: Prevalence of Underweight: Weight for Age: % of Children Under 5 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. Prevalence of underweight children is the percentage of children under age 5 whose weight for age is more than two standard deviations below the median for the international reference population ages 0-59 months. The data are based on the WHO's child growth standards released in 2006.; ; UNICEF, WHO, World Bank: Joint child malnutrition estimates (JME). Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data) and methodology.; Linear mixed-effect model estimates; Undernourished children have lower resistance to infection and are more likely to die from common childhood ailments such as diarrheal diseases and respiratory infections. Frequent illness saps the nutritional status of those who survive, locking them into a vicious cycle of recurring sickness and faltering growth (UNICEF, www.childinfo.org). Estimates of child malnutrition, based on prevalence of underweight and stunting, are from national survey data. The proportion of underweight children is the most common malnutrition indicator. Being even mildly underweight increases the risk of death and inhibits cognitive development in children. And it perpetuates the problem across generations, as malnourished women are more likely to have low-birth-weight babies. Stunting, or being below median height for age, is often used as a proxy for multifaceted deprivation and as an indicator of long-term changes in malnutrition.
| Last | Frequency | Range |
|---|---|---|
| 31.60 2012 | yearly | 1986 - 2012 |
View Pakistan's Pakistan PK: Prevalence of Underweight: Weight for Age: % of Children Under 5 from 1986 to 2012 in the chart:
Pakistan PK: Prevalence of Underweight: Weight for Age: Female: % of Children Under 5
PK: Prevalence of Underweight: Weight for Age: Female: % of Children Under 5 data was reported at 29.100 % in 2012. This records a decrease from the previous number of 30.400 % for 2011. PK: Prevalence of Underweight: Weight for Age: Female: % of Children Under 5 data is updated yearly, averaging 31.000 % from Dec 1991 (Median) to 2012, with 5 observations. The data reached an all-time high of 37.600 % in 1991 and a record low of 29.100 % in 2012. PK: Prevalence of Underweight: Weight for Age: Female: % of Children Under 5 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. Prevalence of underweight, female, is the percentage of girls under age 5 whose weight for age is more than two standard deviations below the median for the international reference population ages 0-59 months. The data are based on the WHO's new child growth standards released in 2006.; ; World Health Organization, Global Database on Child Growth and Malnutrition. Country-level data are unadjusted data from national surveys, and thus may not be comparable across countries.; Linear mixed-effect model estimates; Undernourished children have lower resistance to infection and are more likely to die from common childhood ailments such as diarrheal diseases and respiratory infections. Frequent illness saps the nutritional status of those who survive, locking them into a vicious cycle of recurring sickness and faltering growth (UNICEF, www.childinfo.org). Estimates of child malnutrition, based on prevalence of underweight and stunting, are from national survey data. The proportion of underweight children is the most common malnutrition indicator. Being even mildly underweight increases the risk of death and inhibits cognitive development in children. And it perpetuates the problem across generations, as malnourished women are more likely to have low-birth-weight babies. Stunting, or being below median height for age, is often used as a proxy for multifaceted deprivation and as an indicator of long-term changes in malnutrition.
| Last | Frequency | Range |
|---|---|---|
| 29.10 2012 | yearly | 1991 - 2012 |
View Pakistan's Pakistan PK: Prevalence of Underweight: Weight for Age: Female: % of Children Under 5 from 1991 to 2012 in the chart:
Pakistan PK: Prevalence of Underweight: Weight for Age: Male: % of Children Under 5
PK: Prevalence of Underweight: Weight for Age: Male: % of Children Under 5 data was reported at 34.100 % in 2012. This records an increase from the previous number of 31.400 % for 2011. PK: Prevalence of Underweight: Weight for Age: Male: % of Children Under 5 data is updated yearly, averaging 34.100 % from Dec 1991 (Median) to 2012, with 5 observations. The data reached an all-time high of 40.300 % in 1991 and a record low of 31.400 % in 2011. PK: Prevalence of Underweight: Weight for Age: Male: % of Children Under 5 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. Prevalence of underweight, male, is the percentage of boys under age 5 whose weight for age is more than two standard deviations below the median for the international reference population ages 0-59 months. The data are based on the WHO's new child growth standards released in 2006.; ; World Health Organization, Global Database on Child Growth and Malnutrition. Country-level data are unadjusted data from national surveys, and thus may not be comparable across countries.; Linear mixed-effect model estimates; Undernourished children have lower resistance to infection and are more likely to die from common childhood ailments such as diarrheal diseases and respiratory infections. Frequent illness saps the nutritional status of those who survive, locking them into a vicious cycle of recurring sickness and faltering growth (UNICEF, www.childinfo.org). Estimates of child malnutrition, based on prevalence of underweight and stunting, are from national survey data. The proportion of underweight children is the most common malnutrition indicator. Being even mildly underweight increases the risk of death and inhibits cognitive development in children. And it perpetuates the problem across generations, as malnourished women are more likely to have low-birth-weight babies. Stunting, or being below median height for age, is often used as a proxy for multifaceted deprivation and as an indicator of long-term changes in malnutrition.
| Last | Frequency | Range |
|---|---|---|
| 34.10 2012 | yearly | 1991 - 2012 |
View Pakistan's Pakistan PK: Prevalence of Underweight: Weight for Age: Male: % of Children Under 5 from 1991 to 2012 in the chart:
Pakistan PK: Prevalence of Wasting: Weight for Height: % of Children Under 5
PK: Prevalence of Wasting: Weight for Height: % of Children Under 5 data was reported at 10.500 % in 2012. This records a decrease from the previous number of 14.800 % for 2011. PK: Prevalence of Wasting: Weight for Height: % of Children Under 5 data is updated yearly, averaging 14.500 % from Dec 1986 (Median) to 2012, with 6 observations. The data reached an all-time high of 24.000 % in 1986 and a record low of 10.500 % in 2012. PK: Prevalence of Wasting: Weight for Height: % of Children Under 5 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. Prevalence of wasting is the proportion of children under age 5 whose weight for height is more than two standard deviations below the median for the international reference population ages 0-59.; ; UNICEF, WHO, World Bank: Joint child malnutrition estimates (JME). Aggregation is based on UNICEF, WHO, and the World Bank harmonized dataset (adjusted, comparable data) and methodology.; Linear mixed-effect model estimates; Undernourished children have lower resistance to infection and are more likely to die from common childhood ailments such as diarrheal diseases and respiratory infections. Frequent illness saps the nutritional status of those who survive, locking them into a vicious cycle of recurring sickness and faltering growth (UNICEF, www.childinfo.org). Estimates of child malnutrition, based on prevalence of underweight and stunting, are from national survey data. The proportion of underweight children is the most common malnutrition indicator. Being even mildly underweight increases the risk of death and inhibits cognitive development in children. And it perpetuates the problem across generations, as malnourished women are more likely to have low-birth-weight babies. Stunting, or being below median height for age, is often used as a proxy for multifaceted deprivation and as an indicator of long-term changes in malnutrition.
| Last | Frequency | Range |
|---|---|---|
| 10.50 2012 | yearly | 1986 - 2012 |
View Pakistan's Pakistan PK: Prevalence of Wasting: Weight for Height: % of Children Under 5 from 1986 to 2012 in the chart:
Pakistan PK: Prevalence of Wasting: Weight for Height: Female: % of Children Under 5
PK: Prevalence of Wasting: Weight for Height: Female: % of Children Under 5 data was reported at 9.800 % in 2012. This records a decrease from the previous number of 14.100 % for 2011. PK: Prevalence of Wasting: Weight for Height: Female: % of Children Under 5 data is updated yearly, averaging 13.200 % from Dec 1991 (Median) to 2012, with 5 observations. The data reached an all-time high of 17.100 % in 1994 and a record low of 9.800 % in 2012. PK: Prevalence of Wasting: Weight for Height: Female: % of Children Under 5 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. Prevalence of wasting, female, is the proportion of girls under age 5 whose weight for height is more than two standard deviations below the median for the international reference population ages 0-59.; ; World Health Organization, Global Database on Child Growth and Malnutrition. Country-level data are unadjusted data from national surveys, and thus may not be comparable across countries.; Linear mixed-effect model estimates; Undernourished children have lower resistance to infection and are more likely to die from common childhood ailments such as diarrheal diseases and respiratory infections. Frequent illness saps the nutritional status of those who survive, locking them into a vicious cycle of recurring sickness and faltering growth (UNICEF, www.childinfo.org). Estimates of child malnutrition, based on prevalence of underweight and stunting, are from national survey data. The proportion of underweight children is the most common malnutrition indicator. Being even mildly underweight increases the risk of death and inhibits cognitive development in children. And it perpetuates the problem across generations, as malnourished women are more likely to have low-birth-weight babies. Stunting, or being below median height for age, is often used as a proxy for multifaceted deprivation and as an indicator of long-term changes in malnutrition.
| Last | Frequency | Range |
|---|---|---|
| 9.80 2012 | yearly | 1991 - 2012 |
View Pakistan's Pakistan PK: Prevalence of Wasting: Weight for Height: Female: % of Children Under 5 from 1991 to 2012 in the chart:
Pakistan PK: Prevalence of Wasting: Weight for Height: Male: % of Children Under 5
PK: Prevalence of Wasting: Weight for Height: Male: % of Children Under 5 data was reported at 11.100 % in 2012. This records a decrease from the previous number of 15.500 % for 2011. PK: Prevalence of Wasting: Weight for Height: Male: % of Children Under 5 data is updated yearly, averaging 15.100 % from Dec 1991 (Median) to 2012, with 5 observations. The data reached an all-time high of 17.400 % in 1994 and a record low of 11.100 % in 2012. PK: Prevalence of Wasting: Weight for Height: Male: % of Children Under 5 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. Prevalence of wasting, male,is the proportion of boys under age 5 whose weight for height is more than two standard deviations below the median for the international reference population ages 0-59.; ; World Health Organization, Global Database on Child Growth and Malnutrition. Country-level data are unadjusted data from national surveys, and thus may not be comparable across countries.; Linear mixed-effect model estimates; Undernourished children have lower resistance to infection and are more likely to die from common childhood ailments such as diarrheal diseases and respiratory infections. Frequent illness saps the nutritional status of those who survive, locking them into a vicious cycle of recurring sickness and faltering growth (UNICEF, www.childinfo.org). Estimates of child malnutrition, based on prevalence of underweight and stunting, are from national survey data. The proportion of underweight children is the most common malnutrition indicator. Being even mildly underweight increases the risk of death and inhibits cognitive development in children. And it perpetuates the problem across generations, as malnourished women are more likely to have low-birth-weight babies. Stunting, or being below median height for age, is often used as a proxy for multifaceted deprivation and as an indicator of long-term changes in malnutrition.
| Last | Frequency | Range |
|---|---|---|
| 11.10 2012 | yearly | 1991 - 2012 |
View Pakistan's Pakistan PK: Prevalence of Wasting: Weight for Height: Male: % of Children Under 5 from 1991 to 2012 in the chart:
Pakistan PK: Probability of Dying at Age 10-14 Years: per 1000
PK: Probability of Dying at Age 10-14 Years: per 1000 data was reported at 3.800 Ratio in 2019. This records a decrease from the previous number of 3.900 Ratio for 2018. PK: Probability of Dying at Age 10-14 Years: per 1000 data is updated yearly, averaging 4.300 Ratio from Dec 1990 (Median) to 2019, with 30 observations. The data reached an all-time high of 5.900 Ratio in 1994 and a record low of 3.800 Ratio in 2019. PK: Probability of Dying at Age 10-14 Years: per 1000 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. Probability of dying between age 10-14 years of age expressed per 1,000 adolescents age 10, 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; Aggregate data for LIC, UMC, LMC, HIC are computed based on the groupings for the World Bank fiscal year in which the data was released by the UN Inter-agency Group for Child Mortality Estimation.
| Last | Frequency | Range |
|---|---|---|
| 3.800 2019 | yearly | 1990 - 2019 |
View Pakistan's Pakistan PK: Probability of Dying at Age 10-14 Years: per 1000 from 1990 to 2019 in the chart:
Pakistan PK: Probability of Dying at Age 15-19 Years: per 1000
PK: Probability of Dying at Age 15-19 Years: per 1000 data was reported at 6.000 Ratio in 2019. This records a decrease from the previous number of 6.200 Ratio for 2018. PK: Probability of Dying at Age 15-19 Years: per 1000 data is updated yearly, averaging 7.000 Ratio from Dec 1990 (Median) to 2019, with 30 observations. The data reached an all-time high of 10.600 Ratio in 1990 and a record low of 5.500 Ratio in 2004. PK: Probability of Dying at Age 15-19 Years: per 1000 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. Probability of dying between age 15-19 years of age expressed per 1,000 adolescents age 15, 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; Aggregate data for LIC, UMC, LMC, HIC are computed based on the groupings for the World Bank fiscal year in which the data was released by the UN Inter-agency Group for Child Mortality Estimation.
| Last | Frequency | Range |
|---|---|---|
| 6.000 2019 | yearly | 1990 - 2019 |
View Pakistan's Pakistan PK: Probability of Dying at Age 15-19 Years: per 1000 from 1990 to 2019 in the chart:
Pakistan PK: Probability of Dying at Age 20-24 Years: per 1000
PK: Probability of Dying at Age 20-24 Years: per 1000 data was reported at 5.600 Ratio in 2019. This stayed constant from the previous number of 5.600 Ratio for 2018. PK: Probability of Dying at Age 20-24 Years: per 1000 data is updated yearly, averaging 8.950 Ratio from Dec 1990 (Median) to 2019, with 30 observations. The data reached an all-time high of 11.300 Ratio in 1990 and a record low of 5.600 Ratio in 2019. PK: Probability of Dying at Age 20-24 Years: per 1000 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. Probability of dying between age 20-24 years of age expressed per 1,000 youths age 20, 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; Aggregate data for LIC, UMC, LMC, HIC are computed based on the groupings for the World Bank fiscal year in which the data was released by the UN Inter-agency Group for Child Mortality Estimation.
| Last | Frequency | Range |
|---|---|---|
| 5.600 2019 | yearly | 1990 - 2019 |
View Pakistan's Pakistan PK: Probability of Dying at Age 20-24 Years: per 1000 from 1990 to 2019 in the chart:
Pakistan PK: Probability of Dying at Age 5-14 Years: per 1000 Children Age 5
PK: Probability of Dying at Age 5-14 Years: per 1000 Children Age 5 data was reported at 11.300 Ratio in 2016. This records a decrease from the previous number of 11.400 Ratio for 2015. PK: Probability of Dying at Age 5-14 Years: per 1000 Children Age 5 data is updated yearly, averaging 11.300 Ratio from Dec 1990 (Median) to 2016, with 5 observations. The data reached an all-time high of 13.600 Ratio in 1990 and a record low of 11.000 Ratio in 2010. PK: Probability of Dying at Age 5-14 Years: per 1000 Children Age 5 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. Probability of dying between age 5-14 years of age expressed per 1,000 children aged 5, 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;
| Last | Frequency | Range |
|---|---|---|
| 11.30 2016 | yearly | 1990 - 2016 |
View Pakistan's Pakistan PK: Probability of Dying at Age 5-14 Years: per 1000 Children Age 5 from 1990 to 2016 in the chart:
Pakistan PK: Probability of Dying at Age 5-9 Years: per 1000
PK: Probability of Dying at Age 5-9 Years: per 1000 data was reported at 4.600 Ratio in 2019. This records a decrease from the previous number of 4.700 Ratio for 2018. PK: Probability of Dying at Age 5-9 Years: per 1000 data is updated yearly, averaging 5.600 Ratio from Dec 1990 (Median) to 2019, with 30 observations. The data reached an all-time high of 8.400 Ratio in 1993 and a record low of 4.600 Ratio in 2019. PK: Probability of Dying at Age 5-9 Years: per 1000 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. Probability of dying between age 5-9 years of age expressed per 1,000 children aged 5, 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; Aggregate data for LIC, UMC, LMC, HIC are computed based on the groupings for the World Bank fiscal year in which the data was released by the UN Inter-agency Group for Child Mortality Estimation.
| Last | Frequency | Range |
|---|---|---|
| 4.600 2019 | yearly | 1990 - 2019 |
View Pakistan's Pakistan PK: Probability of Dying at Age 5-9 Years: per 1000 from 1990 to 2019 in the chart:
Pakistan PK: Risk of Catastrophic Expenditure for Surgical Care: % of People at Risk
PK: Risk of Catastrophic Expenditure for Surgical Care: % of People at Risk data was reported at 53.900 % in 2017. This records a decrease from the previous number of 62.000 % for 2016. PK: Risk of Catastrophic Expenditure for Surgical Care: % of People at Risk data is updated yearly, averaging 69.200 % from Dec 2003 (Median) to 2017, with 15 observations. The data reached an all-time high of 76.500 % in 2005 and a record low of 53.900 % in 2017. PK: Risk of Catastrophic Expenditure for Surgical Care: % of People at Risk 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. The proportion of population at risk of catastrophic expenditure when surgical care is required. Catastrophic expenditure is defined as direct out of pocket payments for surgical and anaesthesia care exceeding 10% of total income.; ; The Program in Global Surgery and Social Change (PGSSC) at Harvard Medical School (https://www.pgssc.org/); Weighted Average;
| Last | Frequency | Range |
|---|---|---|
| 75.20 2014 | yearly | 2014 - 2014 |
View Pakistan's Pakistan PK: Risk of Catastrophic Expenditure for Surgical Care: % of People at Risk from 2014 to 2014 in the chart:
Pakistan PK: Risk of Impoverishing Expenditure for Surgical Care: % of People at Risk
PK: Risk of Impoverishing Expenditure for Surgical Care: % of People at Risk data was reported at 29.900 % in 2017. This records a decrease from the previous number of 33.400 % for 2016. PK: Risk of Impoverishing Expenditure for Surgical Care: % of People at Risk data is updated yearly, averaging 41.600 % from Dec 2003 (Median) to 2017, with 15 observations. The data reached an all-time high of 49.800 % in 2004 and a record low of 29.900 % in 2017. PK: Risk of Impoverishing Expenditure for Surgical Care: % of People at Risk 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. The proportion of population at risk of impoverishing expenditure when surgical care is required. Impoverishing expenditure is defined as direct out of pocket payments for surgical and anaesthesia care which drive people below a poverty threshold (using a threshold of $1.25 PPP/day).; ; The Program in Global Surgery and Social Change (PGSSC) at Harvard Medical School (https://www.pgssc.org/); Weighted Average;
| Last | Frequency | Range |
|---|---|---|
| 62.80 2014 | yearly | 2014 - 2014 |
View Pakistan's Pakistan PK: Risk of Impoverishing Expenditure for Surgical Care: % of People at Risk from 2014 to 2014 in the chart:
Pakistan PK: Smoking Prevalence: Females: % of Adults
PK: Smoking Prevalence: Females: % of Adults data was reported at 2.800 % in 2016. This records a decrease from the previous number of 3.000 % for 2015. PK: Smoking Prevalence: Females: % of Adults data is updated yearly, averaging 3.800 % from Dec 2000 (Median) to 2016, with 9 observations. The data reached an all-time high of 9.100 % in 2000 and a record low of 2.800 % in 2016. PK: Smoking Prevalence: Females: % of 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. Prevalence of smoking, female is the percentage of women ages 15 and over who currently smoke any tobacco product on a daily or non-daily basis. It excludes smokeless tobacco use. The rates are age-standardized.; ; World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/).; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 2.80 2016 | yearly | 2000 - 2016 |
View Pakistan's Pakistan PK: Smoking Prevalence: Females: % of Adults from 2000 to 2016 in the chart:
Pakistan PK: Smoking Prevalence: Males: % of Adults
PK: Smoking Prevalence: Males: % of Adults data was reported at 36.700 % in 2016. This records a decrease from the previous number of 36.900 % for 2015. PK: Smoking Prevalence: Males: % of Adults data is updated yearly, averaging 37.300 % from Dec 2000 (Median) to 2016, with 9 observations. The data reached an all-time high of 39.000 % in 2000 and a record low of 36.700 % in 2016. PK: Smoking Prevalence: Males: % of 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. Prevalence of smoking, male is the percentage of men ages 15 and over who currently smoke any tobacco product on a daily or non-daily basis. It excludes smokeless tobacco use. The rates are age-standardized.; ; World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/).; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 36.70 2016 | yearly | 2000 - 2016 |
View Pakistan's Pakistan PK: Smoking Prevalence: Males: % of Adults from 2000 to 2016 in the chart:
Pakistan PK: Smoking Prevalence: Total: % of Adults: Aged 15+
PK: Smoking Prevalence: Total: % of Adults: Aged 15+ data was reported at 20.100 % in 2016. This records a decrease from the previous number of 20.300 % for 2015. PK: Smoking Prevalence: Total: % of Adults: Aged 15+ data is updated yearly, averaging 20.900 % from Dec 2000 (Median) to 2016, with 9 observations. The data reached an all-time high of 24.500 % in 2000 and a record low of 20.100 % in 2016. PK: Smoking Prevalence: Total: % of Adults: Aged 15+ 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. Prevalence of smoking is the percentage of men and women ages 15 and over who currently smoke any tobacco product on a daily or non-daily basis. It excludes smokeless tobacco use. The rates are age-standardized.; ; World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/).; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 20.10 2016 | yearly | 2000 - 2016 |
View Pakistan's Pakistan PK: Smoking Prevalence: Total: % of Adults: Aged 15+ from 2000 to 2016 in the chart:
Pakistan PK: Specialist Surgical Workforce: per 100,000 population
PK: Specialist Surgical Workforce: per 100,000 population data was reported at 5.530 Number in 2014. PK: Specialist Surgical Workforce: per 100,000 population data is updated yearly, averaging 5.530 Number from Dec 2014 (Median) to 2014, with 1 observations. PK: Specialist Surgical Workforce: per 100,000 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.WDI: Health Statistics. Specialist surgical workforce is the number of specialist surgical, anaesthetic, and obstetric (SAO) providers who are working in each country per 100,000 population.; ; The Lancet Commission on Global Surgery (www.lancetglobalsurgery.org).; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 5.53 2014 | yearly | 2014 - 2014 |
View Pakistan's Pakistan PK: Specialist Surgical Workforce: per 100,000 population from 2014 to 2014 in the chart:
Pakistan PK: Suicide Mortality Rate: Female
PK: Suicide Mortality Rate: Female data was reported at 3.000 NA in 2016. This records a decrease from the previous number of 3.100 NA for 2015. PK: Suicide Mortality Rate: Female data is updated yearly, averaging 3.400 NA from Dec 2000 (Median) to 2016, with 5 observations. The data reached an all-time high of 4.100 NA in 2005 and a record low of 3.000 NA in 2016. PK: Suicide Mortality Rate: Female 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;
| Last | Frequency | Range |
|---|---|---|
| 3.000 2016 | yearly | 2000 - 2016 |
View Pakistan's Pakistan PK: Suicide Mortality Rate: Female from 2000 to 2016 in the chart:
Pakistan PK: Suicide Mortality Rate: Male
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. 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. 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;
| Last | Frequency | Range |
|---|---|---|
| 2.700 2016 | yearly | 2000 - 2016 |
View Pakistan's Pakistan PK: Suicide Mortality Rate: Male from 2000 to 2016 in the chart:
Pakistan PK: Suicide Mortality Rate: per 100,000 Population
PK: Suicide Mortality Rate: per 100,000 Population data was reported at 2.900 Number in 2016. This stayed constant from the previous number of 2.900 Number for 2015. PK: Suicide Mortality Rate: per 100,000 Population data is updated yearly, averaging 3.100 Number from Dec 2000 (Median) to 2016, with 5 observations. The data reached an all-time high of 3.500 Number in 2005 and a record low of 2.900 Number in 2016. PK: Suicide Mortality Rate: per 100,000 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.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;
| Last | Frequency | Range |
|---|---|---|
| 2.90 2016 | yearly | 2000 - 2016 |
View Pakistan's Pakistan PK: Suicide Mortality Rate: per 100,000 Population from 2000 to 2016 in the chart:
Pakistan PK: Survival To Age 65: Female: % of Cohort
PK: Survival To Age 65: Female: % of Cohort data was reported at 72.422 % in 2016. This records an increase from the previous number of 72.142 % for 2015. PK: Survival To Age 65: Female: % of Cohort data is updated yearly, averaging 61.820 % from Dec 1960 (Median) to 2016, with 57 observations. The data reached an all-time high of 72.422 % in 2016 and a record low of 39.973 % in 1960. PK: Survival To Age 65: Female: % of Cohort 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. Survival to age 65 refers to the percentage of a cohort of newborn infants that would survive to age 65, if subject to age specific mortality rates of the specified year.; ; United Nations Population Division. World Population Prospects: 2017 Revision.; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 72.42 2016 | yearly | 1960 - 2016 |
View Pakistan's Pakistan PK: Survival To Age 65: Female: % of Cohort from 1960 to 2016 in the chart:
Pakistan PK: Survival To Age 65: Male: % of Cohort
PK: Survival To Age 65: Male: % of Cohort data was reported at 67.608 % in 2016. This records an increase from the previous number of 67.430 % for 2015. PK: Survival To Age 65: Male: % of Cohort data is updated yearly, averaging 58.782 % from Dec 1960 (Median) to 2016, with 57 observations. The data reached an all-time high of 67.608 % in 2016 and a record low of 39.608 % in 1960. PK: Survival To Age 65: Male: % of Cohort 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. Survival to age 65 refers to the percentage of a cohort of newborn infants that would survive to age 65, if subject to age specific mortality rates of the specified year.; ; United Nations Population Division. World Population Prospects: 2017 Revision.; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 67.61 2016 | yearly | 1960 - 2016 |
View Pakistan's Pakistan PK: Survival To Age 65: Male: % of Cohort from 1960 to 2016 in the chart:
Pakistan PK: Teenage Mothers
PK: Teenage Mothers data was reported at 7.900 % in 2013. This records a decrease from the previous number of 9.100 % for 2007. PK: Teenage Mothers data is updated yearly, averaging 9.100 % from Dec 1991 (Median) to 2013, with 3 observations. The data reached an all-time high of 15.700 % in 1991 and a record low of 7.900 % in 2013. PK: Teenage Mothers 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. Teenage mothers are the percentage of women ages 15-19 who already have children or are currently pregnant.; ; Demographic and Health Surveys.; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 7.90 2013 | yearly | 1991 - 2013 |
View Pakistan's Pakistan PK: Teenage Mothers from 1991 to 2013 in the chart:
Pakistan PK: Total Alcohol Consumption per Capita: Liters of Pure Alcohol: Projected Estimates: Aged 15+
PK: Total Alcohol Consumption per Capita: Liters of Pure Alcohol: Projected Estimates: Aged 15+ data was reported at 0.300 Number in 2016. PK: Total Alcohol Consumption per Capita: Liters of Pure Alcohol: Projected Estimates: Aged 15+ data is updated yearly, averaging 0.300 Number from Dec 2016 (Median) to 2016, with 1 observations. PK: Total Alcohol Consumption per Capita: Liters of Pure Alcohol: Projected Estimates: Aged 15+ 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. Total alcohol per capita consumption is defined as the total (sum of recorded and unrecorded alcohol) amount of alcohol consumed per person (15 years of age or older) over a calendar year, in litres of pure alcohol, adjusted for tourist consumption.; ; World Health Organization, Global Health Observatory Data Repository (http://apps.who.int/ghodata/).; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 0.30 2016 | yearly | 2016 - 2016 |
View Pakistan's Pakistan PK: Total Alcohol Consumption per Capita: Liters of Pure Alcohol: Projected Estimates: Aged 15+ from 2016 to 2016 in the chart:
Pakistan PK: Tuberculosis Case Detection Rate: All Forms
PK: Tuberculosis Case Detection Rate: All Forms data was reported at 69.000 % in 2016. This records an increase from the previous number of 63.000 % for 2015. PK: Tuberculosis Case Detection Rate: All Forms data is updated yearly, averaging 54.000 % from Dec 2000 (Median) to 2016, with 17 observations. The data reached an all-time high of 69.000 % in 2016 and a record low of 2.900 % in 2000. PK: Tuberculosis Case Detection Rate: All Forms 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. Tuberculosis case detection rate (all forms) is the number of new and relapse tuberculosis cases notified to WHO in a given year, divided by WHO's estimate of the number of incident tuberculosis cases for the same year, expressed as a percentage. Estimates for all years are recalculated as new information becomes available and techniques are refined, so they may differ from those published previously.; ; World Health Organization, Global Tuberculosis Report.; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 69.00 2016 | yearly | 2000 - 2016 |
View Pakistan's Pakistan PK: Tuberculosis Case Detection Rate: All Forms from 2000 to 2016 in the chart:
Pakistan PK: Tuberculosis Treatment Success Rate: % of New Cases
PK: Tuberculosis Treatment Success Rate: % of New Cases data was reported at 93.000 % in 2015. This stayed constant from the previous number of 93.000 % for 2014. PK: Tuberculosis Treatment Success Rate: % of New Cases data is updated yearly, averaging 89.500 % from Dec 2000 (Median) to 2015, with 16 observations. The data reached an all-time high of 93.000 % in 2015 and a record low of 74.000 % in 2000. PK: Tuberculosis Treatment Success Rate: % of New Cases 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. Tuberculosis treatment success rate is the percentage of all new tuberculosis cases (or new and relapse cases for some countries) registered under a national tuberculosis control programme in a given year that successfully completed treatment, with or without bacteriological evidence of success ('cured' and 'treatment completed' respectively).; ; World Health Organization, Global Tuberculosis Report.; Weighted average;
| Last | Frequency | Range |
|---|---|---|
| 93.00 2015 | yearly | 2000 - 2015 |
View Pakistan's Pakistan PK: Tuberculosis Treatment Success Rate: % of New Cases from 2000 to 2015 in the chart:
Pakistan PK: UHC Service Coverage Index
PK: UHC Service Coverage Index data was reported at 40.000 % in 2015. PK: UHC Service Coverage Index data is updated yearly, averaging 40.000 % from Dec 2015 (Median) to 2015, with 1 observations. PK: UHC Service Coverage Index 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. Coverage index for essential health services (based on tracer interventions that include reproductive, maternal, newborn and child health, infectious diseases, noncommunicable diseases and service capacity and access). It is presented on a scale of 0 to 100. Values greater than or equal to 80 are presented as 80 as the index does not provide fine resolution at high values.; ; Hogan et al. An index of the coverage of essential health services for monitoring UHC within the SDGs, Lancet Global Health 2017.; Weighted Average;
| Last | Frequency | Range |
|---|---|---|
| 40.00 2015 | yearly | 2015 - 2015 |
View Pakistan's Pakistan PK: UHC Service Coverage Index from 2015 to 2015 in the chart:
Pakistan PK: Unmet Need for Contraception: % of Married Women Aged 15-49
PK: Unmet Need for Contraception: % of Married Women Aged 15-49 data was reported at 20.100 % in 2013. This records a decrease from the previous number of 25.200 % for 2007. PK: Unmet Need for Contraception: % of Married Women Aged 15-49 data is updated yearly, averaging 30.500 % from Dec 1991 (Median) to 2013, with 5 observations. The data reached an all-time high of 37.500 % in 1997 and a record low of 20.100 % in 2013. PK: Unmet Need for Contraception: % of Married Women Aged 15-49 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. Unmet need for contraception is the percentage of fertile, married women of reproductive age who do not want to become pregnant and are not using contraception.; ; Household surveys, including Demographic and Health Surveys and Multiple Indicator Cluster Surveys. Largely compiled by United Nations Population Division.; Weighted Average; Unmet need for contraception measures the capacity women have in achieving their desired family size and birth spacing. Many couples in developing countries want to limit or postpone childbearing but are not using effective contraception. These couples have an unmet need for contraception. Common reasons are lack of knowledge about contraceptive methods and concerns about possible side effects.
| Last | Frequency | Range |
|---|---|---|
| 20.10 2013 | yearly | 1991 - 2013 |
View Pakistan's Pakistan PK: Unmet Need for Contraception: % of Married Women Aged 15-49 from 1991 to 2013 in the chart:
Pakistan PK: Vitamin A Supplementation Coverage Rate: % of Children Aged 6-59 Months
PK: Vitamin A Supplementation Coverage Rate: % of Children Aged 6-59 Months data was reported at 98.000 % in 2015. This records an increase from the previous number of 96.000 % for 2014. PK: Vitamin A Supplementation Coverage Rate: % of Children Aged 6-59 Months data is updated yearly, averaging 98.000 % from Dec 1999 (Median) to 2015, with 17 observations. The data reached an all-time high of 99.000 % in 2012 and a record low of 0.000 % in 2013. PK: Vitamin A Supplementation Coverage Rate: % of Children Aged 6-59 Months 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. Vitamin A supplementation refers to the percentage of children ages 6-59 months old who received at least two doses of vitamin A in the previous year.; ; United Nations Children's Fund, State of the World's Children.; Weighted average; Vitamin A is essential for optimal functioning of the immune system. Vitamin A deficiency, a leading cause of blindness, also causes a greater risk of dying from a range of childhood ailments such as measles, malaria, and diarrhea. In low- and middle-income countries, where vitamin A is consumed largely in fruits and vegetables, daily per capita intake is often insufficient to meet dietary requirements. Providing young children with two high-dose vitamin A capsules a year is a safe, cost-effective, efficient strategy for eliminating vitamin A deficiency and improving child survival. Giving vitamin A to new breastfeeding mothers helps protect their children during the first few months of life. Food fortification with vitamin A is being introduced in many developing countries.
| Last | Frequency | Range |
|---|---|---|
| 98.00 2015 | yearly | 1999 - 2015 |
View Pakistan's Pakistan PK: Vitamin A Supplementation Coverage Rate: % of Children Aged 6-59 Months from 1999 to 2015 in the chart:
Pakistan PK: Wanted Fertility Rate: Births per Woman
PK: Wanted Fertility Rate: Births per Woman data was reported at 3.000 Ratio in 2013. This records a decrease from the previous number of 3.100 Ratio for 2007. PK: Wanted Fertility Rate: Births per Woman data is updated yearly, averaging 3.100 Ratio from Dec 1991 (Median) to 2013, with 3 observations. The data reached an all-time high of 4.300 Ratio in 1991 and a record low of 3.000 Ratio in 2013. PK: Wanted Fertility Rate: Births per Woman 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. Wanted fertility rate is an estimate of what the total fertility rate would be if all unwanted births were avoided.; ; Demographic and Health Surveys.; Weighted Average;
| Last | Frequency | Range |
|---|---|---|
| 3.00 2013 | yearly | 1991 - 2013 |
View Pakistan's Pakistan PK: Wanted Fertility Rate: Births per Woman from 1991 to 2013 in the chart:
Pakistan PK: Women Participating in the Three Decisions: Own Health Care, Major Household Purchases, and Visiting Family: % of Women Aged 15-49
PK: Women Participating in the Three Decisions: Own Health Care, Major Household Purchases, and Visiting Family: % of Women Aged 15-49 data was reported at 38.200 % in 2013. PK: Women Participating in the Three Decisions: Own Health Care, Major Household Purchases, and Visiting Family: % of Women Aged 15-49 data is updated yearly, averaging 38.200 % from Dec 2013 (Median) to 2013, with 1 observations. PK: Women Participating in the Three Decisions: Own Health Care, Major Household Purchases, and Visiting Family: % of Women Aged 15-49 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. Women participating in the three decisions (own health care, major household purchases, and visiting family) is the percentage of currently married women aged 15-49 who say that they alone or jointly have the final say in all of the three decisions (own health care, large purchases and visits to family, relatives, and friends).; ; Demographic and Health Surveys (DHS); ;
| Last | Frequency | Range |
|---|---|---|
| 38.20 2013 | yearly | 2013 - 2013 |
View Pakistan's Pakistan PK: Women Participating in the Three Decisions: Own Health Care, Major Household Purchases, and Visiting Family: % of Women Aged 15-49 from 2013 to 2013 in the chart:
Pakistan PK: Women Who Believe a Husband is Justified in Beating His Wife: Any of Five Reasons
PK: Women Who Believe a Husband is Justified in Beating His Wife: Any of Five Reasons data was reported at 42.200 % in 2013. PK: Women Who Believe a Husband is Justified in Beating His Wife: Any of Five Reasons data is updated yearly, averaging 42.200 % from Dec 2013 (Median) to 2013, with 1 observations. PK: Women Who Believe a Husband is Justified in Beating His Wife: Any of Five Reasons 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. Percentage of women ages 15-49 who believe a husband/partner is justified in hitting or beating his wife/partner for any of the following five reasons: argues with him; refuses to have sex; burns the food; goes out without telling him; or when she neglects the children.; ; Demographic and Health Surveys (DHS), Multiple Indicator Cluster Surveys (MICS), and other surveys: STATcompiler (http://www.statcompiler.com/) as of November 22, 2016, UNICEF global databases (http://www.data.unicef.org/) as of November 2015. MICS Compiler (http://www.micscompiler.org/) as of June 12, 2016.; ;
| Last | Frequency | Range |
|---|---|---|
| 42.20 2013 | yearly | 2013 - 2013 |
View Pakistan's Pakistan PK: Women Who Believe a Husband is Justified in Beating His Wife: Any of Five Reasons from 2013 to 2013 in the chart:
Pakistan PK: Women Who Believe a Husband is Justified in Beating His Wife: When She Argues with Him
PK: Women Who Believe a Husband is Justified in Beating His Wife: When She Argues with Him data was reported at 33.700 % in 2013. PK: Women Who Believe a Husband is Justified in Beating His Wife: When She Argues with Him data is updated yearly, averaging 33.700 % from Dec 2013 (Median) to 2013, with 1 observations. PK: Women Who Believe a Husband is Justified in Beating His Wife: When She Argues with Him 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. Percentage of women ages 15-49 who believe a husband/partner is justified in hitting or beating his wife/partner when she argues with him.; ; Demographic and Health Surveys (DHS), Multiple Indicator Cluster Surveys (MICS), and other surveys: STATcompiler (http://www.statcompiler.com/) as of November 22, 2016, UNICEF global databases (http://www.data.unicef.org/) as of November 2015. MICS Compiler (http://www.micscompiler.org/) as of June 12, 2016.; ;
| Last | Frequency | Range |
|---|---|---|
| 33.70 2013 | yearly | 2013 - 2013 |
View Pakistan's Pakistan PK: Women Who Believe a Husband is Justified in Beating His Wife: When She Argues with Him from 2013 to 2013 in the chart:
Pakistan PK: Women Who Believe a Husband is Justified in Beating His Wife: When She Burns the Food
PK: Women Who Believe a Husband is Justified in Beating His Wife: When She Burns the Food data was reported at 18.400 % in 2013. PK: Women Who Believe a Husband is Justified in Beating His Wife: When She Burns the Food data is updated yearly, averaging 18.400 % from Dec 2013 (Median) to 2013, with 1 observations. PK: Women Who Believe a Husband is Justified in Beating His Wife: When She Burns the Food 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. Percentage of women ages 15-49 who believe a husband/partner is justified in hitting or beating his wife/partner when she burns the food.; ; Demographic and Health Surveys (DHS), Multiple Indicator Cluster Surveys (MICS), and other surveys: STATcompiler (http://www.statcompiler.com/) as of November 22, 2016, UNICEF global databases (http://www.data.unicef.org/) as of November 2015. MICS Compiler (http://www.micscompiler.org/) as of June 12, 2016.; ;
| Last | Frequency | Range |
|---|---|---|
| 18.40 2013 | yearly | 2013 - 2013 |
View Pakistan's Pakistan PK: Women Who Believe a Husband is Justified in Beating His Wife: When She Burns the Food from 2013 to 2013 in the chart:
Pakistan PK: Women Who Believe a Husband is Justified in Beating His Wife: When She Goes Out without Telling Him
PK: Women Who Believe a Husband is Justified in Beating His Wife: When She Goes Out without Telling Him data was reported at 29.600 % in 2013. PK: Women Who Believe a Husband is Justified in Beating His Wife: When She Goes Out without Telling Him data is updated yearly, averaging 29.600 % from Dec 2013 (Median) to 2013, with 1 observations. PK: Women Who Believe a Husband is Justified in Beating His Wife: When She Goes Out without Telling Him 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. Percentage of women ages 15-49 who believe a husband/partner is justified in hitting or beating his wife/partner when she goes out without telling him.; ; Demographic and Health Surveys (DHS), Multiple Indicator Cluster Surveys (MICS), and other surveys: STATcompiler (http://www.statcompiler.com/) as of November 22, 2016, UNICEF global databases (http://www.data.unicef.org/) as of November 2015. MICS Compiler (http://www.micscompiler.org/) as of June 12, 2016.; ;
| Last | Frequency | Range |
|---|---|---|
| 29.60 2013 | yearly | 2013 - 2013 |
View Pakistan's Pakistan PK: Women Who Believe a Husband is Justified in Beating His Wife: When She Goes Out without Telling Him from 2013 to 2013 in the chart:
Pakistan PK: Women Who Believe a Husband is Justified in Beating His Wife: When She Neglects the Children
PK: Women Who Believe a Husband is Justified in Beating His Wife: When She Neglects the Children data was reported at 31.100 % in 2013. PK: Women Who Believe a Husband is Justified in Beating His Wife: When She Neglects the Children data is updated yearly, averaging 31.100 % from Dec 2013 (Median) to 2013, with 1 observations. PK: Women Who Believe a Husband is Justified in Beating His Wife: When She Neglects the Children 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. Percentage of women ages 15-49 who believe a husband/partner is justified in hitting or beating his wife/partner when she neglects the children.; ; Demographic and Health Surveys (DHS), Multiple Indicator Cluster Surveys (MICS), and other surveys: STATcompiler (http://www.statcompiler.com/) as of November 22, 2016, UNICEF global databases (http://www.data.unicef.org/) as of November 2015. MICS Compiler (http://www.micscompiler.org/) as of June 12, 2016.; ;
| Last | Frequency | Range |
|---|---|---|
| 31.10 2013 | yearly | 2013 - 2013 |
View Pakistan's Pakistan PK: Women Who Believe a Husband is Justified in Beating His Wife: When She Neglects the Children from 2013 to 2013 in the chart:
Pakistan PK: Women Who Believe a Husband is Justified in Beating His Wife: When She Refuses Sex with Him
PK: Women Who Believe a Husband is Justified in Beating His Wife: When She Refuses Sex with Him data was reported at 30.600 % in 2013. PK: Women Who Believe a Husband is Justified in Beating His Wife: When She Refuses Sex with Him data is updated yearly, averaging 30.600 % from Dec 2013 (Median) to 2013, with 1 observations. PK: Women Who Believe a Husband is Justified in Beating His Wife: When She Refuses Sex with Him 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. Percentage of women ages 15-49 who believe a husband/partner is justified in hitting or beating his wife/partner when she refuses sex with him.; ; Demographic and Health Surveys (DHS), Multiple Indicator Cluster Surveys (MICS), and other surveys: STATcompiler (http://www.statcompiler.com/) as of November 22, 2016, UNICEF global databases (http://www.data.unicef.org/) as of November 2015. MICS Compiler (http://www.micscompiler.org/) as of June 12, 2016.; ;
| Last | Frequency | Range |
|---|---|---|
| 30.60 2013 | yearly | 2013 - 2013 |