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Tunisia TN: Mortality Rate: Under-5: Female: per 1000 Live Births data was reported at 12.300 Ratio in 2016. This records a decrease from the previous number of 12.800 Ratio for 2015. Tunisia TN: Mortality Rate: Under-5: Female: per 1000 Live Births data is updated yearly, averaging 15.800 Ratio from Dec 1990 (Median) to 2016, with 5 observations. The data reached an all-time high of 53.300 Ratio in 1990 and a record low of 12.300 Ratio in 2016. Tunisia TN: Mortality Rate: Under-5: Female: per 1000 Live Births data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Tunisia – Table TN.World Bank: Health Statistics. Under-five mortality rate, female is the probability per 1,000 that a newborn female baby will die before reaching age five, if subject to female age-specific mortality rates of the specified year.; ; Estimates Developed by the UN Inter-agency Group for Child Mortality Estimation (UNICEF, WHO, World Bank, UN DESA Population Division) at www.childmortality.org.; Weighted Average; Given that data on the incidence and prevalence of diseases are frequently unavailable, mortality rates are often used to identify vulnerable populations. Moreover, they are among the indicators most frequently used to compare socioeconomic development across countries. Under-five mortality rates are higher for boys than for girls in countries in which parental gender preferences are insignificant. Under-five mortality captures the effect of gender discrimination better than infant mortality does, as malnutrition and medical interventions have more significant impacts to this age group. Where female under-five mortality is higher, girls are likely to have less access to resources than boys.
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Tunisia TN: Mortality Rate: Infant: per 1000 Live Births data was reported at 11.200 Ratio in 2017. This records a decrease from the previous number of 11.600 Ratio for 2016. Tunisia TN: Mortality Rate: Infant: per 1000 Live Births data is updated yearly, averaging 44.650 Ratio from Dec 1962 (Median) to 2017, with 56 observations. The data reached an all-time high of 181.100 Ratio in 1962 and a record low of 11.200 Ratio in 2017. Tunisia TN: Mortality Rate: Infant: per 1000 Live Births data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Tunisia – Table TN.World Bank.WDI: Health Statistics. Infant mortality rate is the number of infants dying before reaching one year of age, per 1,000 live births in a given year.; ; Estimates developed by the UN Inter-agency Group for Child Mortality Estimation (UNICEF, WHO, World Bank, UN DESA Population Division) at www.childmortality.org.; Weighted average; Given that data on the incidence and prevalence of diseases are frequently unavailable, mortality rates are often used to identify vulnerable populations. Moreover, they are among the indicators most frequently used to compare socioeconomic development across countries. Under-five mortality rates are higher for boys than for girls in countries in which parental gender preferences are insignificant. Under-five mortality captures the effect of gender discrimination better than infant mortality does, as malnutrition and medical interventions have more significant impacts to this age group. Where female under-five mortality is higher, girls are likely to have less access to resources than boys.
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Tunisia TN: Birth Rate: Crude: per 1000 People data was reported at 18.295 Ratio in 2016. This records a decrease from the previous number of 18.647 Ratio for 2015. Tunisia TN: Birth Rate: Crude: per 1000 People data is updated yearly, averaging 28.325 Ratio from Dec 1960 (Median) to 2016, with 57 observations. The data reached an all-time high of 45.474 Ratio in 1960 and a record low of 16.477 Ratio in 2004. Tunisia TN: Birth Rate: Crude: per 1000 People data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Tunisia – Table TN.World Bank.WDI: Population and Urbanization Statistics. Crude birth rate indicates the number of live births occurring during the year, per 1,000 population estimated at midyear. Subtracting the crude death rate from the crude birth rate provides the rate of natural increase, which is equal to the rate of population change in the absence of migration.; ; (1) United Nations Population Division. World Population Prospects: 2017 Revision. (2) Census reports and other statistical publications from national statistical offices, (3) Eurostat: Demographic Statistics, (4) United Nations Statistical Division. Population and Vital Statistics Reprot (various years), (5) U.S. Census Bureau: International Database, and (6) Secretariat of the Pacific Community: Statistics and Demography Programme.; Weighted average;
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Tunisia TN: Mortality Rate: Under-5: per 1000 Live Births data was reported at 13.000 Ratio in 2017. This records a decrease from the previous number of 13.500 Ratio for 2016. Tunisia TN: Mortality Rate: Under-5: per 1000 Live Births data is updated yearly, averaging 57.450 Ratio from Dec 1962 (Median) to 2017, with 56 observations. The data reached an all-time high of 271.400 Ratio in 1962 and a record low of 13.000 Ratio in 2017. Tunisia TN: Mortality Rate: Under-5: per 1000 Live Births data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Tunisia – Table TN.World Bank.WDI: Health Statistics. Under-five mortality rate is the probability per 1,000 that a newborn baby will die before reaching age five, if subject to age-specific mortality rates of the specified year.; ; Estimates Developed by the UN Inter-agency Group for Child Mortality Estimation (UNICEF, WHO, World Bank, UN DESA Population Division) at www.childmortality.org.; Weighted average; Given that data on the incidence and prevalence of diseases are frequently unavailable, mortality rates are often used to identify vulnerable populations. Moreover, they are among the indicators most frequently used to compare socioeconomic development across countries. Under-five mortality rates are higher for boys than for girls in countries in which parental gender preferences are insignificant. Under-five mortality captures the effect of gender discrimination better than infant mortality does, as malnutrition and medical interventions have more significant impacts to this age group. Where female under-five mortality is higher, girls are likely to have less access to resources than boys.
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TwitterThis table presents the number of beneficiaries with NAS and the rate of neonatal abstinence syndrome per 1,000 newborns whose deliveries were covered by Medicaid or CHIP, 2017 - 2021. These metrics are based on data in the T-MSIS Analytic Files (TAF). Some states have serious data quality issues, making the data unusable for identifying this population. Data for a state are considered unusable based on DQ Atlas thresholds for the following topics: Total Medicaid and CHIP Enrollment, Claims Volume - IP, Claims Volume - OT, Claims Volume - IP, Diagnosis Code - IP, Diagnosis Code - OT, Procedure Codes - OT Professional. Cells with a value of “DQ” indicate that data were suppressed due to unusable data. Data from Maryland, Tennessee, and Utah are omitted due to data quality concerns. Maryland was excluded in 2017 due to unusable diagnosis codes in the IP file and the OT file. Tennessee was excluded due to unusable diagnosis codes in the IP file in 2017 - 2019. Utah was excluded due to unusable procedure codes on OT professional claims in 2017 - 2020. In addition, states with a high data quality concern on one or more measures are noted in the table in the "Data Quality" column. Please refer to the DQ Atlas at http://medicaid.gov/dq-atlas for more information about data quality assessment methods. Some cells have a value of “DS”. This indicates that data were suppressed for confidentiality reasons because the group included fewer than 11 beneficiaries.
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TwitterThis table presents the number of pregnant and postpartum Medicaid and CHIP beneficiaries, 2017-2021. It includes (1) the number and percentage of beneficiaries ever pregnant in the year; (2) the number and percentage of live births in the year; (3) the number and percentage of miscarriages, stillbirths, or terminations in the year; and (4) the number and percentage of births with an unknown delivery outcome in the year. These metrics are based on data in the T-MSIS Analytic Files (TAF). Some states have serious data quality issues, making the data unusable for identifying this population. Data for a state are considered unusable based on DQ Atlas thresholds for the following topics: Total Medicaid and CHIP Enrollment, Claims Volume - IP, Claims Volume - OT, Claims Volume - IP, Diagnosis Code - IP, Diagnosis Code - OT, Procedure Codes - OT Professional. Cells with a value of “DQ” indicate that data were suppressed due to unusable data. Data from Maryland, Tennessee, and Utah are omitted from the tables due to data quality concerns. Maryland was excluded in 2017 due to unusable diagnosis codes in the IP file and the OT file. Tennessee was excluded due to unusable diagnosis codes in the IP file in 2017 - 2019. Utah was excluded due to unusable procedure codes on OT professional claims in 2017 - 2020. In addition, states with a high data quality concern on one or more measures are noted in the table in the "Data Quality" column. Please refer to the DQ Atlas at http://medicaid.gov/dq-atlas for more information about data quality assessment methods. Some cells have a value of “DS”. This indicates that data were suppressed for confidentiality reasons because the group included fewer than 11 beneficiaries.
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TwitterThis data set depicts unintentional overdose deaths by county for Tennessee from 1999-2017.Data
was compiled from the CDC Wonder database for each year and combined
into a single spreadsheet. Each year has both a death field and a rate
of fatalities per 100,000 people. The CDC does not publish the number of
fatalities by county if the total is less than 10 in a given year. The
CDC does not post a rate of fatalities if the total number of deaths per
county is less than 20. The population field contains estimates from 2018 and is NOT the data used to generate the rates over time.The
following details are copied directly from the CDC Wonder database text
file. Note that the year is different for each data download from the
original database."Dataset: Underlying Cause of Death, 1999-2017""Query Parameters:""Drug/Alcohol Induced Causes: Drug poisonings (overdose) Unintentional (X40-X44)""States: Tennessee (47)""Year/Month: 1999""Group By: County""Show Totals: True""Show Zero Values: False""Show Suppressed: False""Calculate Rates Per: 100,000""Rate Options: Default intercensal populations for years 2001-2009 (except Infant Age Groups)""---""Help: See http://wonder.cdc.gov/wonder/help/ucd.html for more information.""---""Query Date: Aug 19, 2019 10:22:15 PM""1. Rows with suppressed Deaths are hidden, but the Deaths and Population values in those rows are included in the totals. Use""Quick Options above to show suppressed rows.""---"Caveats:"1. Data are Suppressed when the data meet the criteria for confidentiality constraints. More information:""http://wonder.cdc.gov/wonder/help/ucd.html#Assurance of Confidentiality.""2. Death rates are flagged as Unreliable when the rate is calculated with a numerator of 20 or less. More information:""http://wonder.cdc.gov/wonder/help/ucd.html#Unreliable.""3. The population figures for year 2017 are bridged-race estimates of the July 1 resident population, from the Vintage 2017""postcensal
series released by NCHS on June 27, 2018. The population figures for
year 2016 are bridged-race estimates of the July""1 resident population, from the Vintage 2016 postcensal series released by NCHS on June 26, 2017. The population figures for""year
2015 are bridged-race estimates of the July 1 resident population, from
the Vintage 2015 postcensal series released by NCHS""on June 28, 2016. The population figures for year 2014 are bridged-race estimates of the July 1 resident population, from the""Vintage 2014 postcensal series released by NCHS on June 30, 2015. The population figures for year 2013 are bridged-race""estimates of the July 1 resident population, from the Vintage 2013 postcensal series released by NCHS on June 26, 2014. The""population
figures for year 2012 are bridged-race estimates of the July 1 resident
population, from the Vintage 2012 postcensal""series released by
NCHS on June 13, 2013. The population figures for year 2011 are
bridged-race estimates of the July 1 resident""population, from the Vintage 2011 postcensal series released by NCHS on July 18, 2012. Population figures for 2010 are April 1""Census counts. The population figures for years 2001 - 2009 are bridged-race estimates of the July 1 resident population, from""the revised intercensal county-level 2000 - 2009 series released by NCHS on October 26, 2012. Population figures for 2000 are""April 1 Census counts. Population figures for 1999 are from the 1990-1999 intercensal series of July 1 estimates. Population""figures
for the infant age groups are the number of live births.
Note: Rates and population figures for
years 2001 -""2009 differ slightly from previously published
reports, due to use of the population estimates which were available at
the time""of release.""4. The population figures used in the calculation of death rates for the age group 'under 1 year' are the estimates of the""resident population that is under one year of age. More information: http://wonder.cdc.gov/wonder/help/ucd.html#Age Group."
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TwitterData
was compiled from the CDC Wonder database for each year and combined
into a single spreadsheet. Each year has both a death field and a rate
of fatalities per 100,000 people. The CDC does not publish the number of
fatalities by county if the total is less than 10 in a given year. The
CDC does not post a rate of fatalities if the total number of deaths per
county is less than 20. The population field contains estimates from 2018 and is NOT the data used to generate the rates over time.The
following details are copied directly from the CDC Wonder database text
file. Note that the year is different for each data download from the
original database."Dataset: Underlying Cause of Death, 1999-2017""Query Parameters:""Drug/Alcohol Induced Causes: Drug poisonings (overdose) Unintentional (X40-X44)""States: Tennessee (47)""Year/Month: 1999""Group By: County""Show Totals: True""Show Zero Values: False""Show Suppressed: False""Calculate Rates Per: 100,000""Rate Options: Default intercensal populations for years 2001-2009 (except Infant Age Groups)""---""Help: See http://wonder.cdc.gov/wonder/help/ucd.html for more information.""---""Query Date: Aug 19, 2019 10:22:15 PM""1. Rows with suppressed Deaths are hidden, but the Deaths and Population values in those rows are included in the totals. Use""Quick Options above to show suppressed rows.""---"Caveats:"1. Data are Suppressed when the data meet the criteria for confidentiality constraints. More information:""http://wonder.cdc.gov/wonder/help/ucd.html#Assurance of Confidentiality.""2. Death rates are flagged as Unreliable when the rate is calculated with a numerator of 20 or less. More information:""http://wonder.cdc.gov/wonder/help/ucd.html#Unreliable.""3. The population figures for year 2017 are bridged-race estimates of the July 1 resident population, from the Vintage 2017""postcensal
series released by NCHS on June 27, 2018. The population figures for
year 2016 are bridged-race estimates of the July""1 resident population, from the Vintage 2016 postcensal series released by NCHS on June 26, 2017. The population figures for""year
2015 are bridged-race estimates of the July 1 resident population, from
the Vintage 2015 postcensal series released by NCHS""on June 28, 2016. The population figures for year 2014 are bridged-race estimates of the July 1 resident population, from the""Vintage 2014 postcensal series released by NCHS on June 30, 2015. The population figures for year 2013 are bridged-race""estimates of the July 1 resident population, from the Vintage 2013 postcensal series released by NCHS on June 26, 2014. The""population
figures for year 2012 are bridged-race estimates of the July 1 resident
population, from the Vintage 2012 postcensal""series released by
NCHS on June 13, 2013. The population figures for year 2011 are
bridged-race estimates of the July 1 resident""population, from the Vintage 2011 postcensal series released by NCHS on July 18, 2012. Population figures for 2010 are April 1""Census counts. The population figures for years 2001 - 2009 are bridged-race estimates of the July 1 resident population, from""the revised intercensal county-level 2000 - 2009 series released by NCHS on October 26, 2012. Population figures for 2000 are""April 1 Census counts. Population figures for 1999 are from the 1990-1999 intercensal series of July 1 estimates. Population""figures
for the infant age groups are the number of live births.
Note: Rates and population figures for
years 2001 -""2009 differ slightly from previously published
reports, due to use of the population estimates which were available at
the time""of release.""4. The population figures used in the calculation of death rates for the age group 'under 1 year' are the estimates of the""resident population that is under one year of age. More information: http://wonder.cdc.gov/wonder/help/ucd.html#Age Group."
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Tunisia TN: Maternal Mortality Ratio: Modeled Estimate: per 100,000 Live Births data was reported at 62.000 Ratio in 2015. This records a decrease from the previous number of 63.000 Ratio for 2014. Tunisia TN: Maternal Mortality Ratio: Modeled Estimate: per 100,000 Live Births data is updated yearly, averaging 79.500 Ratio from Dec 1990 (Median) to 2015, with 26 observations. The data reached an all-time high of 131.000 Ratio in 1990 and a record low of 62.000 Ratio in 2015. Tunisia TN: Maternal Mortality Ratio: Modeled Estimate: per 100,000 Live Births data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Tunisia – Table TN.World Bank.WDI: Health Statistics. Maternal mortality ratio is the number of women who die from pregnancy-related causes while pregnant or within 42 days of pregnancy termination per 100,000 live births. The data are estimated with a regression model using information on the proportion of maternal deaths among non-AIDS deaths in women ages 15-49, fertility, birth attendants, and GDP measured using purchasing power parities (PPPs).; ; WHO, UNICEF, UNFPA, World Bank Group, and the United Nations Population Division. Trends in Maternal Mortality: 1990 to 2015. Geneva, World Health Organization, 2015; Weighted average; This indicator represents the risk associated with each pregnancy and is also a Sustainable Development Goal Indicator for monitoring maternal health.
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TwitterThis table presents the rate of neonatal abstinence syndrome per 1,000 newborns whose deliveries were covered by Medicaid or CHIP, 2017 - 2019. Some states have serious data quality issues, making the data unusable for identifying this population. Data for a state are considered unusable based on DQ Atlas thresholds for the following topics: Total Medicaid and CHIP Enrollment, Claims Volume - IP, Claims Volume - OT, Claims Volume - IP, Diagnosis Code - IP, Diagnosis Code - OT, Procedure Codes - OT Professional. Data from Maryland, Tennessee, and Utah are omitted for the tables due to data quality concerns. Values for Maryland were excluded due to unusuable diagnosis codes in the IP file and the OT file in 2017. Tennessee was excluded due to unusable diagnosis codes in the IP file in 2017 - 2019. Utah was excluded due to unusable procedure codes on OT professional claims in 2017 - 2019. In addition, states with a high data quality concern on one or more measures are noted in the table with an asterisk (*). Please refer to the DQ Atlas for more information about data quality assessment methods.
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Tunisia TN: Fertility Rate: Total: Births per Woman data was reported at 2.201 Ratio in 2016. This records a decrease from the previous number of 2.223 Ratio for 2015. Tunisia TN: Fertility Rate: Total: Births per Woman data is updated yearly, averaging 3.878 Ratio from Dec 1960 (Median) to 2016, with 57 observations. The data reached an all-time high of 7.015 Ratio in 1964 and a record low of 1.991 Ratio in 2005. Tunisia TN: Fertility Rate: Total: Births per Woman data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Tunisia – Table TN.World Bank: Health Statistics. Total fertility rate represents the number of children that would be born to a woman if she were to live to the end of her childbearing years and bear children in accordance with age-specific fertility rates of the specified year.; ; (1) United Nations Population Division. World Population Prospects: 2017 Revision. (2) Census reports and other statistical publications from national statistical offices, (3) Eurostat: Demographic Statistics, (4) United Nations Statistical Division. Population and Vital Statistics Reprot (various years), (5) U.S. Census Bureau: International Database, and (6) Secretariat of the Pacific Community: Statistics and Demography Programme.; Weighted average; Relevance to gender indicator: it can indicate the status of women within households and a woman’s decision about the number and spacing of children.
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Tunisia TN: Life Expectancy at Birth: Female data was reported at 77.777 Year in 2016. This records an increase from the previous number of 77.574 Year for 2015. Tunisia TN: Life Expectancy at Birth: Female data is updated yearly, averaging 69.586 Year from Dec 1960 (Median) to 2016, with 57 observations. The data reached an all-time high of 77.777 Year in 2016 and a record low of 43.007 Year in 1960. Tunisia TN: Life Expectancy at Birth: Female data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Tunisia – Table TN.World Bank.WDI: Health Statistics. Life expectancy at birth indicates the number of years a newborn infant would live if prevailing patterns of mortality at the time of its birth were to stay the same throughout its life.; ; (1) United Nations Population Division. World Population Prospects: 2017 Revision. (2) Census reports and other statistical publications from national statistical offices, (3) Eurostat: Demographic Statistics, (4) United Nations Statistical Division. Population and Vital Statistics Reprot (various years), (5) U.S. Census Bureau: International Database, and (6) Secretariat of the Pacific Community: Statistics and Demography Programme.; Weighted average;
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Tunisia TN: Life Expectancy at Birth: Total data was reported at 75.731 Year in 2016. This records an increase from the previous number of 75.525 Year for 2015. Tunisia TN: Life Expectancy at Birth: Total data is updated yearly, averaging 67.576 Year from Dec 1960 (Median) to 2016, with 57 observations. The data reached an all-time high of 75.731 Year in 2016 and a record low of 42.021 Year in 1960. Tunisia TN: Life Expectancy at Birth: Total data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Tunisia – Table TN.World Bank.WDI: Health Statistics. Life expectancy at birth indicates the number of years a newborn infant would live if prevailing patterns of mortality at the time of its birth were to stay the same throughout its life.; ; (1) United Nations Population Division. World Population Prospects: 2017 Revision, or derived from male and female life expectancy at birth from sources such as: (2) Census reports and other statistical publications from national statistical offices, (3) Eurostat: Demographic Statistics, (4) United Nations Statistical Division. Population and Vital Statistics Reprot (various years), (5) U.S. Census Bureau: International Database, and (6) Secretariat of the Pacific Community: Statistics and Demography Programme.; Weighted average;
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Tunisia TN: Life Expectancy at Birth: Male data was reported at 73.718 Year in 2016. This records an increase from the previous number of 73.519 Year for 2015. Tunisia TN: Life Expectancy at Birth: Male data is updated yearly, averaging 65.724 Year from Dec 1960 (Median) to 2016, with 57 observations. The data reached an all-time high of 73.718 Year in 2016 and a record low of 41.060 Year in 1960. Tunisia TN: Life Expectancy at Birth: Male data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Tunisia – Table TN.World Bank.WDI: Health Statistics. Life expectancy at birth indicates the number of years a newborn infant would live if prevailing patterns of mortality at the time of its birth were to stay the same throughout its life.; ; (1) United Nations Population Division. World Population Prospects: 2017 Revision. (2) Census reports and other statistical publications from national statistical offices, (3) Eurostat: Demographic Statistics, (4) United Nations Statistical Division. Population and Vital Statistics Reprot (various years), (5) U.S. Census Bureau: International Database, and (6) Secretariat of the Pacific Community: Statistics and Demography Programme.; Weighted average;
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TN:死亡率:5岁以下儿童:女性:每1000名新生儿在12-01-2016达12.300Ratio,相较于12-01-2015的12.800Ratio有所下降。TN:死亡率:5岁以下儿童:女性:每1000名新生儿数据按年更新,12-01-1990至12-01-2016期间平均值为15.800Ratio,共5份观测结果。该数据的历史最高值出现于12-01-1990,达53.300Ratio,而历史最低值则出现于12-01-2016,为12.300Ratio。CEIC提供的TN:死亡率:5岁以下儿童:女性:每1000名新生儿数据处于定期更新的状态,数据来源于World Bank,数据归类于Global Database的突尼斯 – 表 TN.世界银行:卫生统计。
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Tunisia TN: Mortality Rate: Under-5: Female: per 1000 Live Births data was reported at 12.300 Ratio in 2016. This records a decrease from the previous number of 12.800 Ratio for 2015. Tunisia TN: Mortality Rate: Under-5: Female: per 1000 Live Births data is updated yearly, averaging 15.800 Ratio from Dec 1990 (Median) to 2016, with 5 observations. The data reached an all-time high of 53.300 Ratio in 1990 and a record low of 12.300 Ratio in 2016. Tunisia TN: Mortality Rate: Under-5: Female: per 1000 Live Births data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Tunisia – Table TN.World Bank: Health Statistics. Under-five mortality rate, female is the probability per 1,000 that a newborn female baby will die before reaching age five, if subject to female age-specific mortality rates of the specified year.; ; Estimates Developed by the UN Inter-agency Group for Child Mortality Estimation (UNICEF, WHO, World Bank, UN DESA Population Division) at www.childmortality.org.; Weighted Average; Given that data on the incidence and prevalence of diseases are frequently unavailable, mortality rates are often used to identify vulnerable populations. Moreover, they are among the indicators most frequently used to compare socioeconomic development across countries. Under-five mortality rates are higher for boys than for girls in countries in which parental gender preferences are insignificant. Under-five mortality captures the effect of gender discrimination better than infant mortality does, as malnutrition and medical interventions have more significant impacts to this age group. Where female under-five mortality is higher, girls are likely to have less access to resources than boys.