Missing Migrants Project draws on a range of sources to track deaths of migrants along migratory routes across the globe. Data from this project are published in the report “Fatal Journeys: Tracking Lives Lost during Migration,” which provides the most comprehensive global tally of migrant fatalities since 2014. What is included in Missing Migrants Project data? Missing Migrants Project counts migrants who have died at the external borders of states, or in the process of migration towards an international destination, regardless of their legal status. The Project records only those migrants who die during their journey to a country different from their country of residence. Missing Migrants Project data include the deaths of migrants who die in transportation accidents, shipwrecks, violent attacks, or due to medical complications during their journeys. It also includes the number of corpses found at border crossings that are categorized as the bodies of migrants, on the basis of belongings and/or the characteristics of the death. For instance, a death of an unidentified person might be included if the decedent is found without any identifying documentation in an area known to be on a migration route. Deaths during migration may also be identified based on the cause of death, especially if is related to trafficking, smuggling, or means of travel such as on top of a train, in the back of a cargo truck, as a stowaway on a plane, in unseaworthy boats, or crossing a border fence. While the location and cause of death can provide strong evidence that an unidentified decedent should be included in Missing Migrants Project data, this should always be evaluated in conjunction with migration history and trends. What is excluded? The count excludes deaths that occur in immigration detention facilities or after deportation to a migrant’s homeland, as well as deaths more loosely connected with migrants´ irregular status, such as those resulting from labour exploitation. Migrants who die or go missing after they are established in a new home are also not included in the data, so deaths in refugee camps or housing are excluded. The deaths of internally displaced persons who die within their country of origin are also excluded. There remains a significant gap in knowledge and data on such deaths. Data and knowledge of the risks and vulnerabilities faced by migrants in destination countries, including death, should not be neglected, but rather tracked as a distinct category.

This data set include Sri Lanka census of population and housing 2012 with sex age and religion dis-aggregated data up to GND (4th Admin) level . This data set is shared by Disaster Management Centre of Sri Lanka during the 2016 flood response only for humanitarian response/agency purposes and updated with population projection up to 2022 by WFP and UNOCHA.

Cet ensemble de données présente les besoins humanitaires les plus urgents et le nombre estimé de personnes ayant besoin d'assistance au Burundi.

Data on type of disability, cause of disability, gender and age distribution in Metuge and Chiure districts

Understanding gender is essential to understanding the risk factors of poor health, early death and health inequities. The COVID-19 outbreak is no different. At this point in the pandemic, we are unable to provide a clear answer to the question of the extent to which sex and gender are influencing the health outcomes of people diagnosed with COVID-19. However, experience and evidence thus far tell us that both sex and gender are important drivers of risk and response to infection and disease. In order to understand the role gender is playing in the COVID-19 outbreak, countries urgently need to begin both collecting and publicly reporting sex-disaggregated data. At a minimum, this should include the number of cases and deaths in men and women. In collaboration with CNN, Global Health 50/50 began compiling publicly available sex-disaggregated data reported by national governments to date and is exploring how gender may be driving the higher proportion of reported deaths in men among confirmed cases so far. For more, please visit: http://globalhealth5050.org/covid19

The attached dataset is from the 2022 Ukraine HRP and offers the number of targeted people by geozone and by population group. The data is also presented with SADD.

This dataset was compiled by the United Nations Office for the Coordination of Humanitarian Affairs (UNOCHA) on behalf of the Humanitarian Country Team and partners. It provides the Humanitarian Country Team’s shared understanding of the crisis, including the most pressing humanitarian need and the estimated number of people who need assistance, and represents a consolidated evidence base and helps inform joint strategic response planning.

Ukraine estimated baseline population data (residents and IDPs) in Donetska and Luhanska oblasts used in 2022 HNO with SAAD disaggregation at adm1, GCA/NGCA and zone (distance from contact line) level. Estimation is based on 2001 census.

Governorate level (Admin1) population projections for the year 2021; national level (Admin0) projections for 2015 to 2030, including area, age and sex disaggregation.

The baseline data together with the People in Need (PIN) and severity of needs data by humanitarian condition, population group and sector.

Humanitarian needs overview document for Zimbabwe 2021

Gender parity index in secondary - Indice de parité de genre au secondaire

Goal 3: Promote gender equality/Promouvoir l’égalité des sexes Girls to Boys Ratio for Primary and Secondary

This population count of Za'atari Refugee Camp, Jordan, provides information about the camp's current inhabitants, disaggregated by age, sex, block and district, date of arrival, area of origin and shelter type. The count was conducted by REACH in partnership with UNICEF, between December 2014 to January 2015, in order to provide up to date figures about the camp's inhabitants to influence the planning and delivery of assistance by humanitarian actors. The population count shows a total population of 78,086 Syrian refugees present in Za’atari. This is 7,954 less than the last population count of Za’atari camp, conducted in June 2014, which identified 86,040 people. You can explore this dataset further using the Za'atari Camp Population Count Interactive Dashboard. You can also download the [Summary of Key Findings from the Za'atari Camp Population Count, January 2015] (http://www.reachresourcecentre.info/system/files/resource-documents/reach_jor_report_zaatari_camp_population_count_february2015_1.pdf)

Education Gender parity index in primary - Indice de parité de genre au primaire

This dataset contains official statistics on homicide at national and regional levels. Some series included in the dataset contain sex disaggregated data.

Gender Development Index (Female to male ratio of HDI)

This dataset contains official statistics on criminal justice globally, disaggregated at the national and regional levels. Some of the series included in the dataset also contain sex and age disaggregated data (SADD). Included in the dataset are statistics on formal contact, persons prosecuted, persons convicted, persons detained, criminal justice system resources.

This dataset shows the employed Persons by major Industry group and by sex

Data on Gender_Child protection and Disability from Lira

This tabular dataset provides the Afghanistan population estimation for the Persian calendar year 1395 (corresponding to the Gregorian period 21 March 2016 to 20 March 2017) disaggregated by districts and provincial centres (admin level 3), age, gender, and urban-rural settled populations. The total population of the country in 1395 is estimated to be around 29.1 million, which is inclusive of the 1.5 million nomadic population. This dataset format was created on 15 August 2016 by the Information Management Unit (IMU) of the Office for the Coordination of Humanitarian Affairs (OCHA) Afghanistan. Since the Afghanistan Geodesy and Cartography Head Office (AGCHO) is recognized as the sole authoritative source a for administrative boundaries, the population estimates have also been matched to the administrative names and codes of the AGCHO dataset. The dataset include popluation estimates disaggregated by CSO province and district codes (including Kabul city districts), population estimates disaggreated by AGCHO district codes, and a lookup table that relates CSO, AGCHO and AIMS legacy codes. Note that the 1.5 million nomadic population is NOT included in the province and district population estimates. Estimated population disaggregated by age group and gender is calculated using proportion of the total estimated population falling under each cohort based on 2011/2012 National Risk and Vulnerability Assessment (NRVA) report. This data is only available at the province level. The 2015/2016 estimations can be found on https://data.humdata.org/dataset/estimated-population-of-afghanistan-2015-2016

The dataset consits of municipality wise urban population, growth rate, sex ratio and population density for 2011. The data is extracted by Environment Statistics, 2013. (http://cbs.gov.np/wp-content/uploads/2014/07/Environment%20Statistics%20...)

This file contains the data related to immigration of Nepalese people arrival by sex and district of 2011 to 2013. This information was extracted from Nepal Tourism Statistics  published by Ministry of culture, tourism and civil aviation. Link : http://www.tourism.gov.np/uploaded/TourrismStat2012.pdf http://www.tourism.gov.np/uploaded/TourrismStat2013_final%20integrated.pdf

This file includes household number and total population of Nepal based on gender as of the year 2011 for each vdc/municipality

The datasets includes district wise sex ratio (male per 100 female) for 2011. The data is extracted from Environmental Statistics, 2013. ( http://cbs.gov.np/wp-content/uploads/2014/07/Environment%20Statistics%20...)