Historical dataset showing Mexico infant mortality rate by year from 1950 to 2025.

The Poverty Mapping Project: Global Subnational Infant Mortality Rates data set consists of estimates of infant mortality rates for the year 2000. The infant mortality rate for a region or country is defined as the number of children who die before their first birthday for every 1,000 live births. The data products include a shapefile (vector data) of rates, grids (raster data) of rates (per 10,000 live births in order to preserve precision in integer format), births (the rate denominator) and deaths (the rate numerator), and a tabular data set of the same and associated data. Over 10,000 national and subnational Units are represented in the tabular and grid data sets, while the shapefile uses approximately 1,000 Units in order to protect the intellectual property of source data sets for Brazil, China, and Mexico. This data set is produced by the Columbia University Center for International Earth Science Information Network (CIESIN).

Mexico MX: Mortality Rate: Infant: Female: per 1000 Live Births data was reported at 10.400 Ratio in 2017. This records a decrease from the previous number of 11.400 Ratio for 2015. Mexico MX: Mortality Rate: Infant: Female: per 1000 Live Births data is updated yearly, averaging 13.300 Ratio from Dec 1990 (Median) to 2017, with 5 observations. The data reached an all-time high of 32.700 Ratio in 1990 and a record low of 10.400 Ratio in 2017. Mexico MX: Mortality Rate: Infant: Female: per 1000 Live Births data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Mexico – Table MX.World Bank.WDI: Health Statistics. Infant mortality rate, female is the number of female infants dying before reaching one year of age, per 1,000 female live births in a given year.; ; Estimates developed by the UN Inter-agency Group for Child Mortality Estimation (UNICEF, WHO, World Bank, UN DESA Population Division) at www.childmortality.org.; Weighted average; Given that data on the incidence and prevalence of diseases are frequently unavailable, mortality rates are often used to identify vulnerable populations. Moreover, they are among the indicators most frequently used to compare socioeconomic development across countries. Under-five mortality rates are higher for boys than for girls in countries in which parental gender preferences are insignificant. Under-five mortality captures the effect of gender discrimination better than infant mortality does, as malnutrition and medical interventions have more significant impacts to this age group. Where female under-five mortality is higher, girls are likely to have less access to resources than boys.

The Poverty Mapping Project: Global Subnational Infant Mortality Rates data set consists of estimates of infant mortality rates for the year 2000. The infant mortality rate for a region or country is defined as the number of children who die before their first birthday for every 1,000 live births. The data products include a shapefile (vector data) of rates, grids (raster data) of rates (per 10,000 live births in order to preserve precision in integer format), births (the rate denominator) and deaths (the rate numerator), and a tabular data set of the same and associated data. Over 10,000 national and subnational Units are represented in the tabular and grid data sets, while the shapefile uses approximately 1,000 Units in order to protect the intellectual property of source data sets for Brazil, China, and Mexico. This data set is produced by the Columbia University Center for International Earth Science Information Network (CIESIN).

Mexico MX: Mortality Rate: Under-5: Female: per 1000 Live Births data was reported at 12.100 Ratio in 2017. This records a decrease from the previous number of 13.300 Ratio for 2015. Mexico MX: Mortality Rate: Under-5: Female: per 1000 Live Births data is updated yearly, averaging 15.600 Ratio from Dec 1990 (Median) to 2017, with 5 observations. The data reached an all-time high of 41.600 Ratio in 1990 and a record low of 12.100 Ratio in 2017. Mexico MX: 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 Mexico – Table MX.World Bank.WDI: 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.

Mexico MX: Mortality Rate: Under-5: per 1000 Live Births data was reported at 13.400 Ratio in 2017. This records a decrease from the previous number of 14.100 Ratio for 2016. Mexico MX: Mortality Rate: Under-5: per 1000 Live Births data is updated yearly, averaging 48.850 Ratio from Dec 1960 (Median) to 2017, with 58 observations. The data reached an all-time high of 149.200 Ratio in 1960 and a record low of 13.400 Ratio in 2017. Mexico MX: 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 Mexico – Table MX.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.

Abstract The aim of this work is to analyze the impact of socio-economic and ethnic-racial characteristics in the likelihood of the death of a child before their fifth birthday. Using data from the Survey of Social Mobility in México ESRU-EMOVI 2017 of the Epinosa Yglesis Center for Studies, our results suggest that women with darker skin tone are 2.82 (1.39, 5.74) times more likely to have lost a child before their fifth birthday than women with white skin tone. These are the results after controlling for different birth cohorts, sociodemographic, territorial and socio-economic characteristics. In a counterfactual scenario, the probability of losing a child is explained by ethnic-racial characteristics up to 28.7%, and by socio-economic characteristics up to 58.5%. The loss of a child is a demographic event unequally distributed in the population, and determined not only by socio-economic characteristics, but also by ethnic and racial characteristics. The idea of miscegenation that proposes racial equality in the population in Mexico proves inaccurate and prevents the saving of lives.

Mexico MX: Number of Death: Infant data was reported at 26,618.000 Person in 2017. This records a decrease from the previous number of 28,195.000 Person for 2016. Mexico MX: Number of Death: Infant data is updated yearly, averaging 92,996.000 Person from Dec 1960 (Median) to 2017, with 58 observations. The data reached an all-time high of 174,346.000 Person in 1960 and a record low of 26,618.000 Person in 2017. Mexico MX: Number of Death: Infant data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Mexico – Table MX.World Bank.WDI: Health Statistics. Number of infants dying before reaching one year of age.; ; Estimates developed by the UN Inter-agency Group for Child Mortality Estimation (UNICEF, WHO, World Bank, UN DESA Population Division) at www.childmortality.org.; Sum;

The dataset is sourced and edited from
data.world

Description is given as below:

Centers for Disease Control and Prevention, National Center for Health Statistics. Multiple Cause of Death with U.S. - Mexico Border Regions 1999-2019 on CDC WONDER Online Database, released in 2020. Data are from the Multiple Cause of Death Files, 1999-2019, as compiled from data provided by the 57 vital statistics jurisdictions through the Vital Statistics Cooperative Program. U.S. - Mexico border counties has been demarcated as the 44 counties that are located within 100 kilometers (62 miles) defined under the 1983 La Paz Agreement. Accessed at http://wonder.cdc.gov/ucd-border.html on Nov 6, 2021 12:22:30 AM

Query Parameters: Title: Gun Deaths by County MCD - ICD-10 Codes: W32 (Handgun discharge); W33 (Rifle, shotgun and larger firearm discharge); W34 (Discharge from other and unspecified firearms); X72 (Intentional self-harm by handgun discharge); X73 (Intentional self-harm by rifle, shotgun and larger firearm discharge); X74 (Intentional self-harm by other and unspecified firearm discharge); X93 (Assault by handgun discharge); X94 (Assault by rifle, shotgun and larger firearm discharge); X95 (Assault by other and unspecified firearm discharge); Y22 (Handgun discharge, undetermined intent); Y23 (Rifle, shotgun and larger firearm discharge, undetermined intent); Y24 (Other and unspecified firearm discharge, undetermined intent); Y35.0 (Legal intervention involving firearm discharge)

Group By: Year; County Show Totals: True Show Zero Values: False Show Suppressed: False Standard Population: 2000 U.S. Std. Population Calculate Rates Per: 100,000 Rate Options: Default intercensal populations for years 2001-2009 (except Infant Age Groups)

picture sourced from peterplit

Mexico MX: Life Expectancy at Birth: Total data was reported at 77.305 Year in 2017. This records an increase from the previous number of 77.118 Year for 2016. Mexico MX: Life Expectancy at Birth: Total data is updated yearly, averaging 70.239 Year from Dec 1960 (Median) to 2017, with 58 observations. The data reached an all-time high of 77.305 Year in 2017 and a record low of 57.082 Year in 1960. Mexico MX: 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 Mexico – Table MX.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;

This study contains selected demographic, social, economic, public policy, and political comparative data for Switzerland, Canada, France, and Mexico for the decades of 1900-1960. Each dataset presents comparable data at the province or district level for each decade in the period. Various derived measures, such as percentages, ratios, and indices, constitute the bulk of these datasets. Data for Switzerland contain information for all cantons for each decennial year from 1900 to 1960. Variables describe population characteristics, such as the age of men and women, county and commune of origin, ratio of foreigners to Swiss, percentage of the population from other countries such as Germany, Austria and Lichtenstein, Italy, and France, the percentage of the population that were Protestants, Catholics, and Jews, births, deaths, infant mortality rates, persons per household, population density, the percentage of urban and agricultural population, marital status, marriages, divorces, professions, factory workers, and primary, secondary, and university students. Economic variables provide information on the number of corporations, factory workers, economic status, cultivated land, taxation and tax revenues, canton revenues and expenditures, federal subsidies, bankruptcies, bank account deposits, and taxable assets. Additional variables provide political information, such as national referenda returns, party votes cast in National Council elections, and seats in the cantonal legislature held by political groups such as the Peasants, Socialists, Democrats, Catholics, Radicals, and others. Data for Canada provide information for all provinces for the decades 1900-1960 on population characteristics, such as national origin, the net internal migration per 1,000 of native population, population density per square mile, the percentage of owner-occupied dwellings, the percentage of urban population, the percentage of change in population from preceding censuses, the percentage of illiterate population aged 5 years and older, and the median years of schooling. Economic variables provide information on per capita personal income, total provincial revenue and expenditure per capita, the percentage of the labor force employed in manufacturing and in agriculture, the average number of employees per manufacturing establishment, assessed value of real property per capita, the average number of acres per farm, highway and rural road mileage, transportation and communication, the number of telephones per 100 population, and the number of motor vehicles registered per 1,000 population. Additional variables on elections and votes are supplied as well. Data for France provide information for all departements for all legislative elections since 1936, the two presidential elections of 1965 and 1969, and several referenda held in the period since 1958. Social and economic data are provided for the years 1946, 1954, and 1962, while various policy data are presented for the period 1959-1962. Variables provide information on population characteristics, such as the percentages of population by age group, foreign-born, bachelors aged 20 to 59, divorced men aged 25 and older, elementary school students in private schools, elementary school students per million population from 1966 to 1967, the number of persons in household in 1962, infant mortality rates per million births, and the number of priests per 10,000 population in 1946. Economic variables focus on the Gross National Product (GNP), the revenue per capita per household, personal income per capita, income tax, the percentage of active population in industry, construction and public works, transportation, hotels, public administration, and other jobs, the percentage of skilled and unskilled industrial workers, the number of doctors per 10,000 population, the number of agricultural cooperatives in 1946, the average hectares per farm, the percentage of farms cultivated by the owner, tenants, and sharecroppers, the number of workhorses, cows, and oxen per 100 hectares of farmland in 1946, and the percentages of automobiles per 1,000 population, radios per 100 homes, and cinema seats per 1,000 population. Data are also provided on the percentage of Communists (PCF), Socialists, Radical Socialists, Conservatives, Gaullists, Moderates, Poujadists, Independents, Turnouts, and other political groups and p

Mexico MX: Life Expectancy at Birth: Female data was reported at 79.710 Year in 2017. This records an increase from the previous number of 79.538 Year for 2016. Mexico MX: Life Expectancy at Birth: Female data is updated yearly, averaging 73.342 Year from Dec 1960 (Median) to 2017, with 58 observations. The data reached an all-time high of 79.710 Year in 2017 and a record low of 59.139 Year in 1960. Mexico MX: 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 Mexico – Table MX.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;

Mexico MX: Life Expectancy at Birth: Male data was reported at 74.917 Year in 2017. This records an increase from the previous number of 74.715 Year for 2016. Mexico MX: Life Expectancy at Birth: Male data is updated yearly, averaging 67.215 Year from Dec 1960 (Median) to 2017, with 58 observations. The data reached an all-time high of 74.917 Year in 2017 and a record low of 55.091 Year in 1960. Mexico MX: 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 Mexico – Table MX.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;