Search for a Dataset - Humanitarian Data Exchange

Perú: Domestic Violence in Cusco

Hub Latin America

90+ Downloads

Time Period of the Dataset [?]: January 01, 2017-December 31, 2020 ... More

This dataset updates: Every year

This dataset is part of the data series [?]: Hub Latin America - Violence in Latin America

Information on cases of domestic violence of the women's emergency center (CEM) by districts

SHP

Perú: Domestic Violence in Lima

Hub Latin America

90+ Downloads

Time Period of the Dataset [?]: January 01, 2017-December 31, 2020 ... More

This dataset updates: Every year

This dataset is part of the data series [?]: Hub Latin America - Violence in Latin America

Information on cases of sexual violence from the women's emergency center (CEM) by districts

SHP

Ecuador: Domestic Violence in Quito by ECU 911

Hub Latin America

60+ Downloads

Time Period of the Dataset [?]: January 01, 2019-December 31, 2020 ... More

This dataset updates: Every year

This dataset is part of the data series [?]: Hub Latin America - Violence in Latin America

Record of physical, psychological and sexual domestic violence

SHP

Ecuador: Gender Violence in Quito

Hub Latin America

40+ Downloads

Time Period of the Dataset [?]: January 01, 2019-December 31, 2020 ... More

This dataset updates: Every year

This dataset is part of the data series [?]: Hub Latin America - Violence in Latin America

Crime news registry for violence against women and femicides

SHP

Ecuador: Gender Violence in SantaCruz

Hub Latin America

20+ Downloads

Time Period of the Dataset [?]: January 01, 2018-December 31, 2020 ... More

This dataset updates: Every year

This dataset is part of the data series [?]: Hub Latin America - Violence in Latin America

Statistics of gender violence in Santa Cruz, period 2018-2020

SHP

Ecuador: Gender Violence in Santa Cruz registered by the police

Hub Latin America

20+ Downloads

Time Period of the Dataset [?]: January 01, 2018-December 31, 2020 ... More

This dataset updates: Every year

This dataset is part of the data series [?]: Hub Latin America - Violence in Latin America

Statistics of gender violence in Santa Cruz, period 2018-2020

SHP

Uganda - Interagency Rapid Gender Analysis Household Survey - 2020

UNHCR - The UN Refugee Agency

30+ Downloads

Time Period of the Dataset [?]: November 01, 2020-November 30, 2020 ... More

This dataset updates: Never

To allow for a proper understanding of the extent of the impact of COVID-19 on refugees in Uganda, the need was identified to carry out a Rapid Gender Assessment (RGA) to assess the impact of the pandemic on women, men, girls and boys of diverse backgrounds, including persons with disabilities, older persons and those with serious medical conditions. This assessment was conducted both in Kampala and across refugee settlements. A mixed methods approach was used to address the central objectives of the study, including a review of secondary sources, a household survey and a key informants interview. The household survey targeted 1535 individuals, including vulnerable groups such as child heads of household, persons living with disabilities, and persons with serious medical conditions. The final locations included within the sample were Kampala, Kyaka II, Nakivale, Oruchinga, Adjumani, Bidibidi, Imvepi, Kiryandongo, Lobule and Rhino Camp. Those locations were selected to ensure that all regions and population groups were represented in the final sample of respondents.

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Uganda - Community lighting in Northern Uganda’s Rhino Camp refugee...

UNHCR - The UN Refugee Agency

10+ Downloads

Time Period of the Dataset [?]: August 17, 2016-September 06, 2016 ... More

This dataset updates: Never

Located in rural northern Uganda, Rhino Camp is home to more than 80,000 refugees3 – mostly South Sudanese who fled since July 2016. Other Rhino Camp residents come from the Democratic Republic of Congo, Rwanda, Sudan, as well as the host Ugandan community. 74% of all heads of household are women,4 and Rhino Camp is one of a growing number of refugee settlements across nine UNHCR operations where solar street lamps are in use. Between April and June 2015 UNHCR installed some three dozen community lights in 50% of Rhino Camp’s 14 villages. As demand for community lighting far exceeded available funds, UNHCR worked with the refugee community and its partner the Danish Refugee Council to prioritize the strategic placement of lights within villages. The partners jointly selected locations where (1) refugees were prone to nighttime violence, theft or other safety risks, and (2) lights would promote constructive night-time activity. Using a 72-question survey, researchers asked respondents what day- and night-time6 activities they and their children do, and whether they do these activities in lit or unlit locations. Researchers then asked respondents if they feared or had been victims of something bad while doing these activities. The phrase something bad is the English translation for the most commonly used expressions – in Nuer, Dinka, Bari, and Kiswahili – of being a victim of an aggressive act or encountering danger. Survey responses reveal that the bad experiences that respondents most commonly fear are sexual and physical violence, theft, verbal harassment, injury, and encounters with animals

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India - Socio-economic study of impact of corona virus pandemic on refugees...

UNHCR - The UN Refugee Agency

10+ Downloads

Time Period of the Dataset [?]: August 11, 2020-August 31, 2020 ... More

This dataset updates: Never

The ongoing coronavirus pandemic, along with the preventive measures designed to slow its spread, are putting great stress on India's economy, and affecting the lives and livelihoods of millions of people, including refugees across the country. To determine the exact social and economic consequences of the crisis, UNDP and UNICEF, are working under the leadership of the UN Resident Coordinators, and in close collaboration with specialized UN agencies, to assess the socio-economic impacts of the COVID-19 pandemic on vulnerable communities. UNHCR led the socio economic impact assessment for refugee population in India. The assessment was conducted in collaboration with UNICEF and in partnership with BOSCO. As of June 2020, 40,068 refugees and asylum seekers from different nationalities are registered with UNHCR in India (28,053 refugees and 12,015 asylum seekers). Approximately 51% of the population registered with UNHCR lives in Delhi NCR, the remaining population live throughout the country, with bigger groups in Hyderabad, Jammu and Mewat. Rohingya are the largest group of persons of concern to UNHCR in India with 17,772 persons, followed by Afghans (15,806 persons). Of the total population registered with UNHCR, 47% are women and girls while 16% are persons with specific needs. The survival mechanism for most of the refugees and asylum seekers is mainly based on a daily income that is immensely challenged with the ongoing lockdown and restriction of movement introduced by the central and state governments. These restrictions make it impossible for asylum seekers and refugees to reach the location of their informal employment or daily income generating activities, or to receive customers for their goods and services. Their income and possible savings have dried up leaving them with no means to adequately provide for their families, including in the areas of food, shelter and medicine

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Philippines - Zamboanga Home Based IDP Re-Profiling 2016

UNHCR - The UN Refugee Agency

10+ Downloads

Time Period of the Dataset [?]: July 01, 2016-August 31, 2016 ... More

This dataset updates: Never

In April 2016, following a series of consultations between the United Nations High Commissioner for Refugees, the City Social Welfare and Development Office and other partners in Zamboanga, a profiling exercise for home-based internally displaced persons (IDPs) was conceptualized. The main purpose was to validate the relevance of existing lists and obtain up-to-date information from home-based IDPs who decided to take part in the exercise so that the government, as well as other humanitarian and development actors, can make informed and consultative decisions while designing and targeting their assistance programs, including protection interventions. Following a piloting phase in June 2016, the full-blown profiling was conducted in July-August 2016 and reached 6,474 families from 66 barangays in Zamboanga. Of these, 1,135 families were assessed to be potential home-based IDPs based on the documents they presented. The profiling revealed that most home-based IDPs are living in barangays of Sta. Catalina, Sta. Barbara, Talon-Talon and Rio Hondo.

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SUDAN : People Reached by locality (HRP)

OCHA Sudan

100+ Downloads

Time Period of the Dataset [?]: January 01, 2019-December 31, 2019 ... More

This dataset updates: Never

This dataset is produced by the United Nations for the Coordination of Humanitarian Affairs (OCHA) in collaboration with humanitarian partners in Sudan. This dataset contains the total number of people reached per locality and per sector in Sudan for 2019 Humanitarian Response Plan. The original data is available on https://hpc.tools.

XLSX

North East Nigeria Gender-based Response Progress Monitoring by Indicator,...

iMMAP Inc.

60+ Downloads

Time Period of the Dataset [?]: May 31, 2019-May 31, 2019 ... More

This dataset updates: Every month

The zipped dataset contains a CSV file that provides a progress monitoring update of the Gender-Based Violence Sub-sector by indicator, during the period January to May 2019. The dataset presents progress monitoring on key indicators, including beneficiaries reached through provision of multi-sectorial specialized GBV response services; number of functional GBV referral pathways in place that includes multi-sectoral services for GBV survivors; number of persons benefitting from training/capacity building initiatives to improve quality of service provision; number of persons involved in and accessing information about availability of support services, referrals and reporting; number of persons reached through sensitization and capacity building on GBV principles and prevention; number of persons benefiting from empowerment, skills building and linkages to protective livelihood programs; number of beneficiaries accessing services through women and girls, youth friendly spaces (WGYFS) within the communities; number of persons benefitting from socio-economic assistance for Women and adolescent Girls (formerly) associated with armed groups (WAFAAG) and/or returning from captivity; and number of persons benefiting from capacity building on GBV integration including referral mechanisms and code of conduct.

CSV

Required and received funding to prevent and respond to gender-based violence

HDX

100+ Downloads

Time Period of the Dataset [?]: January 16, 2019-January 16, 2019 ... More

This dataset updates: As needed

Humanitarian financing estimates from UNFPA Humanitarian Action Overview reports, 2015-2018. Humanitarian financing estimates are based on joint planning processes (including humanitarian response plans and regional refugee response and resilience plans that involve multiple organizations and stakeholders) and agency-specific (UNFPA) emergency response plans at country level. See full report here: https://www.unfpa.org/humanitarian-action-2019-overview

XLSX

Cameroon - Far-North - 3W Operational Presence - GBV Assistances

OCHA Cameroon

80+ Downloads

Time Period of the Dataset [?]: March 01, 2017-March 01, 2017 ... More

This dataset updates: Every three months

The data is about Who is Doing What Where in the Far North Region of Cameroon in GBV sub-sector. The 3W present all kind of assistance provided by partners on the field and how their cooordination is done.The assistance concern Health, Psychosocial Support, Legal Assistance, Safety and Security and Prevention. For more information on GBV in Cameroon, see: https://www.humanitarianresponse.info/en/operations/cameroon/gbv

XLSX