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Central America Reduced Coping Strategy Index Predictions

80+ Downloads

Time Period of the Dataset [?]: April 30, 2015-June 30, 2024 ... More

This dataset updates: As needed

The dataset contains information on the reduced coping strategy for different countries in Central America. In the categorical column Attribute we have three possibilities: Phase 1. None, Phase 2. Accentuated, Phase 3, 4 or 5. The value column shows the percentage of the sample that falls under a certain Attribute category. The data are collected since December 2020 and are categorised by country, department and municipality. For more information contact GIS4Tech: info@gis4tech.com. You can also visit the PREDISAN platform https://predisan.gis4tech.com/ca4 for detailed, accurate information.

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Central America Predictors of the Livelihood Coping Strategies Indicator

Acción contra el hambre - GIS4tech

90+ Downloads

Time Period of the Dataset [?]: December 31, 2020-June 30, 2024 ... More

This dataset updates: As needed

The dataset contains information on the Livelihood Coping Strategies for different countries in Central America. In the categorical column Attribute we have four possibilities: No strategy, Stress strategies, Crisis strategies and Emergency strategies. The value column shows the percentage of the sample that falls under a certain Attribute category. The data are collected since December 2020 and are categorised by country, department and municipality. For more information contact GIS4Tech: info@gis4tech.com. You can also visit the PREDISAN platform https://predisan.gis4tech.com/ca4 for detailed, accurate information.

CSV

Central America Hunger Scale in Household Forecast

Acción contra el hambre - GIS4tech

80+ Downloads

Time Period of the Dataset [?]: December 31, 2020-June 30, 2024 ... More

This dataset updates: As needed

The dataset contains information on the hunger scale for different countries in Central America. In the categorical column Attribute we have three possibilities: Low incidence, Moderate incidence and Severe incidence. The value column shows the percentage of the sample that falls under a certain attribute category. The data was collected since December 2020 and are categorised by country, department and municipality. For more information contact GIS4Tech: info@gis4tech.com. You can also visit the PREDISAN platform https://predisan.gis4tech.com/ca4 for detailed, accurate information.

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Central America Household Dietary Diversity Score since 2020 by ACH-GIS4Tech

Acción contra el hambre - GIS4tech

80+ Downloads

Time Period of the Dataset [?]: December 31, 2020-June 30, 2024 ... More

This dataset updates: As needed

The dataset contains information on the Household Dietary Diversity for different countries in Central America. In the categorical column Attribute we have three possibilities: Crisis, Accentuated and None. The value column shows the percentage of the sample that falls under a certain Attribute category. The data are collected since December 2020 and are categorised by country, department and municipality. For more information contact GIS4Tech: info@gis4tech.com. You can also visit the PREDISAN platform https://predisan.gis4tech.com/ca4 for detailed, accurate information.

CSV

Central America - Food Consumption Score Forecast since December 2020

Acción contra el hambre - GIS4tech

90+ Downloads

Time Period of the Dataset [?]: December 31, 2020-June 30, 2024 ... More

This dataset updates: As needed

The dataset contains information on the food consumption score for different countries in Central America. In the categorical column Attribute we have three possibilities: Poor, Acceptable, Borderline. The value column shows the percentage of the sample that falls under a certain Attribute category. The data are collected since December 2020 and are categorised by country, department and municipality. For more information contact GIS4Tech: info@gis4tech.com. You can also visit the PREDISAN platform https://predisan.gis4tech.com/ca4 for detailed, accurate information.

CSV

Ukraine Humanitarian Trend Analysis 2018 [By Request Only]

REACH Initiative

30+ Downloads

Time Period of the Dataset [?]: August 14, 2018-August 14, 2018 ... More

This data is by request only

As the conflict in Eastern Ukraine is into its fourth year, ongoing and widespread ceasefire violations along the ‘line of contact’ and the restrictions on movement of people and goods continue to pose significant risks to civilian populations in Donetsk and Luhansk oblasts. 2017 and 2018 saw the conflict intensify, leading to a significant loss of lives, major concerns over the protection of civilians and significant damage to critical infrastructure. Overall, 3.4 million people are in need of humanitarian assistance and protection . It is therefore necessary to update the previous multi-sector needs assessment reports (IAVA, Trend Analysis, Winter Assessment) with a new and relevant data, and further investigate the trends of the changing humanitarian situation on the ground through both secondary data review from other humanitarian actors, as well as primary field collection of data to fill the gaps identified in the humanitarian data available. General Objective To understand and track changes in humanitarian needs of populations living in conflict affected areas in government controlled areas of Ukraine.

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Future Displacement Forecasts

Danish Refugee Council

500+ Downloads

Time Period of the Dataset [?]: January 01, 2024-December 31, 2026 ... More

This dataset updates: Every six months

Forecasts of forced displacement (IDPs, asylum seekers and refugees) one to three years into the future based on machine learning model.

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Central America Socioeconomics profiles by ACH-GIS4Tech

Acción contra el hambre - GIS4tech

80+ Downloads

Time Period of the Dataset [?]: January 01, 2020-December 20, 2020 ... More

This dataset updates: As needed

Data collected in the field in 2020 and 2021 grouped with artificial intelligence in order to find groups of respondents sharing common characteristics. Categorized by country, department and municipality. For more information contact GIS4Tech: info@gis4tech.com. You can also visit the PREDISAN platform https://predisan.gis4tech.com/ca4 for detailed, accurate information.

CSV

Central America SAN profiles by ACH-GIS4Tech

Acción contra el hambre - GIS4tech

70+ Downloads

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

This dataset updates: As needed

PMA data (2020 telephone surveys) clustered with artificial intelligence in order to find groups of respondents sharing common characteristics. For more information contact GIS4Tech: info@gis4tech.com. You can also visit the PREDISAN platform https://predisan.gis4tech.com/ca4 for detailed, accurate information.

CSV

Tendencias Humanitarias y Paz - Nov 2012 - Jun 2015

OCHA Colombia

1200+ Downloads

Time Period of the Dataset [?]: November 01, 2012-June 30, 2015 ... More

This dataset updates: Every six months

El informe “Tendencias Humanitarias y Paz noviembre 2012 – junio 2015” es elaborado y publicado por la Oficina de las Naciones Unidas para la Coordinación de Asuntos Humanitarios (OCHA) en colaboración con socios del Equipo Humanitario de País y del Sistema de Naciones Unidas en Colombia, a quienes se les ha compartido este documento para sus contribuciones. Este documento responde a un ejercicio de monitoreo de la situación humanitaria y pretende destacar las tendencias principales registradas tanto por las agencias humanitarias así como por las fuentes oficiales, en un periodo de 32 meses mientras estaban en curso las conversaciones en La Habana entre el Gobierno nacional y las FARC-EP. La mayoría de los datos reportados corresponde a registros y denuncias recibidas por instituciones oficiales y datos consolidados por OCHA a partir de diversas fuentes, con corte a junio de 2015.

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