Updated January 3, 2019
| Dataset date: Sep 26, 2017
This dataset updates: As needed
West and Central Africa Administrative boundaries, administrative level 0 to 2. Notice: The boundaries and names shown and the designations used on these shapefiles do not imply official endorsement or acceptance by the United Nations.
West and Central Africa settlements with administrative capitals
Updated January 1, 2019
| Dataset date: Jan 1, 2019
This dataset updates: Every month
OpenStreetMap exports for use in GIS applications.
This theme includes all OpenStreetMap features in this area matching:
waterway IS NOT NULL OR water IS NOT NULL OR natural IN ('water','wetland','bay')
Features may have these attributes:
name
waterway
covered
width
depth
layer
blockage
tunnel
natural
water
This dataset is one of many OpenStreetMap exports on
HDX.
See the Humanitarian OpenStreetMap Team website for more
information.
Updated January 1, 2019
| Dataset date: Jan 1, 2019
This dataset updates: Every month
OpenStreetMap exports for use in GIS applications.
This theme includes all OpenStreetMap features in this area matching:
building IS NOT NULL
Features may have these attributes:
name
building
building:levels
building:materials
addr:full
addr:housenumber
addr:street
addr:city
office
This dataset is one of many OpenStreetMap exports on
HDX.
See the Humanitarian OpenStreetMap Team website for more
information.
Updated January 1, 2019
| Dataset date: Jan 1, 2019
This dataset updates: Every month
OpenStreetMap exports for use in GIS applications.
This theme includes all OpenStreetMap features in this area matching:
amenity IS NOT NULL OR man_made IS NOT NULL OR shop IS NOT NULL OR tourism IS NOT NULL
Features may have these attributes:
name
amenity
man_made
shop
tourism
opening_hours
beds
rooms
addr:full
addr:housenumber
addr:street
addr:city
This dataset is one of many OpenStreetMap exports on
HDX.
See the Humanitarian OpenStreetMap Team website for more
information.
Updated January 1, 2019
| Dataset date: Jan 1, 2019
This dataset updates: Every month
OpenStreetMap exports for use in GIS applications.
This theme includes all OpenStreetMap features in this area matching:
highway IS NOT NULL
Features may have these attributes:
name
highway
surface
smoothness
width
lanes
oneway
bridge
layer
This dataset is one of many OpenStreetMap exports on
HDX.
See the Humanitarian OpenStreetMap Team website for more
information.
Updated December 20, 2018
| Dataset date: Jan 1, 1999-Dec 31, 2025
This dataset updates: Live
Information about asylum applications lodged in 38 European and 6 non-European countries. Data are broken down by month and origin. Where possible, figures exclude repeat/re-opened asylum applications and applications lodged on appeal or with courts. For some countries, the monthly data are available since 1999 while for others at a later period.
Updated December 18, 2018
| Dataset date: Jan 1, 1997-Dec 31, 2018
This dataset updates: Live
The ACLED project codes reported information on the type, agents, exact location, date, and other characteristics of political violence events, demonstrations and select politically relevant non-violent events. ACLED focuses on tracking a range of violent and non-violent actions by political agents, including governments, rebels, militias, communal groups, political parties, external actors, rioters, protesters and civilians. Data contain specific information on the date, location, group names, interaction type, event type, reported fatalities and contextual notes.
Updated December 18, 2018
| Dataset date: Jan 1, 1951-Dec 31, 2025
This dataset updates: Live
Year-by-year data about UNHCR's populations of concern originating from Equatorial Guinea. Populations of concern include refugees, asylum seekers, internally-displaced people (IDPs), returned IDPs, returned refugees, stateless people, and others of concern.
Updated December 5, 2018
| Dataset date: Jan 1, 1951-Dec 31, 2025
This dataset updates: Live
Year-by-year data about UNHCR's populations of concern residing in Equatorial Guinea. Populations of concern include refugees, asylum seekers, internally-displaced people (IDPs), returned IDPs, returned refugees, stateless people, and others of concern.
Updated November 20, 2018
| Dataset date: Jan 1, 1985-Dec 31, 2017
This dataset updates: Every year
This dataset contains many indicators related to population and migration such as Average annual population growth rate, Population 15-19 , Annual rate of change of the migrant stock, International migrant stock at mid-year, etc. The whole list and their description can be find in this link https://bit.ly/2ODhFQh
Updated November 20, 2018
| Dataset date: Jan 1, 1985-Dec 31, 2017
This dataset updates: Every year
This dataset contains many indicators in education such as Infant mortality rate, Proportion of population with advanced HIV infection with access to antiretroviral drugs, Death rate associated with malaria per 100,000 population, Tuberculosis prevalence rate per 100,000 population, etc. The whole list and their description can be find in this link https://bit.ly/2NZBRH3
Updated November 20, 2018
| Dataset date: Jan 1, 1985-Dec 31, 2017
This dataset updates: Every year
This dataset contains many indicators in education such as as Net enrolment rate in primary education, Ratio of girls to boys in primary education, etc. The whole list and their description can be find in this link https://bit.ly/2NWP6Z1
Updated October 30, 2018
| Dataset date: Dec 23, 2015
This dataset updates: Never
This dataset contains the daily summaries on base stations across Equatorial Guinea. The four indicators included are:
TPCP: Total precipitation
MXSD: Maximum snow depth
TSNW: Total snow fall
EMXP: Extreme maximum daily precipitation
Indicators are compiled by the National Centers for Environmental Information (NCEI), which is administrated by National Oceanic and Atmospheric Administration (NOAA) an organization part of the United States government. NOAA has access to data collected from thousands of base stations around the world, which collect data periodically on weather and climate conditions.
This dataset contains the latest 5 years of available data.
Updated October 9, 2018
| Dataset date: Jan 1, 2017-Dec 31, 2017
This dataset updates: Every year
Attacks on educational staff and facilities in 2017.
This dataset contains agency- and publicly-reported data for events in which affected the provision of education. Categorized by country.
Updated September 28, 2018
| Dataset date: Jan 1, 1950-Dec 31, 2050
This dataset updates: Every year
The urban indicators data available here are analyzed, compiled and published by UN-Habitat’s Global Urban Observatory which supports governments, local authorities and civil society organizations to develop urban indicators, data and statistics. Urban statistics are collected through household surveys and censuses conducted by national statistics authorities. Global Urban Observatory team analyses and compiles urban indicators statistics from surveys and censuses. Additionally, Local urban observatories collect, compile and analyze urban data for national policy development. Population statistics are produced by the United Nations Department of Economic and Social Affairs, World Urbanization Prospects.
Updated September 14, 2018
| Dataset date: Sep 6, 2018
This dataset updates: Every year
The INFORM initiative began in 2012 as a convergence of interests of UN agencies, donors, NGOs and research institutions to establish a common evidence-base for global humanitarian risk analysis.
INFORM identifies the countries at a high risk of humanitarian crisis that are more likely to require international assistance. The INFORM model is based on risk concepts published in scientific literature and envisages three dimensions of risk: Hazards & Exposure, Vulnerability and Lack of Coping Capacity. The INFORM model is split into different levels to provide a quick overview of the underlying factors leading to humanitarian risk.
The INFORM index supports a proactive crisis management framework. It will be helpful for an objective allocation of resources for disaster management as well as for coordinated actions focused on anticipating, mitigating, and preparing for humanitarian emergencies.
