OCHA FTS
Updated November 17, 2018
| Dataset date: Nov 17, 2018
FTS publishes data on humanitarian funding flows as reported by donors and recipient organizations. It presents all humanitarian funding to a country and funding that is specifically reported or that can be specifically mapped against funding requirements stated in humanitarian response plans. The data comes from OCHA's Financial Tracking Service, is encoded as utf-8 and the second row of the CSV contains HXL tags.
This dataset contains Global Food Prices data from the World Food Programme covering foods such as maize, rice, beans, fish, and sugar for 76 countries and some 1,500 markets. It is updated weekly but contains to a large extent monthly data. The data goes back as far as 1992 for a few countries, although many countries started reporting from 2003 or thereafter.
This dataset contains Food Prices data for Bhutan. Food prices data comes from the World Food Programme and covers foods such as maize, rice, beans, fish, and sugar for 76 countries and some 1,500 markets. It is updated weekly but contains to a large extent monthly data. The data goes back as far as 1992 for a few countries, although many countries started reporting from 2003 or thereafter.
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.
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.
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.
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.
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.
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.
HDX
Updated September 5, 2018
| Dataset date: Jan 1, 1950-Jan 1, 2005
[Source: United Nations Department of Economic and Social Affairs] Probability of dying between birth and exact age 5. It is expressed as average annual deaths per 1,000 births.
HDX
Updated September 5, 2018
| Dataset date: Jan 1, 1950-Jan 1, 2005
[Source: United Nations Department of Economic and Social Affairs] The average number of years of life expected by a hypothetical cohort of individuals who would be subject during all their lives to the mortality rates of a given period.
HDX
Updated September 5, 2018
| Dataset date: Jan 1, 1950-Jan 1, 2005
[Source: United Nations Department of Economic and Social Affairs] Number of deaths over a given period. Refers to five-year periods running from 1 July to 30 June of the initial and final years.
HDX
Updated September 5, 2018
| Dataset date: Jan 1, 1950-Jan 1, 2010
[Source: United Nations Department of Economic and Social Affairs] Total Population - Both Sexes. De facto population in a country, area or region as of 1 July of the year indicated. Figures are presented in thousands.
Information about UNHCR's populations of concern in {country}. The data appears in two formats: a "wide" format, with all indicators in the same row, and a "long" (timeline) format, with one indicator on each row. All are disaggregated by country of origin, country of residence, and year.
WorldPop
Updated August 18, 2018
| Dataset date: Jan 1, 2020
These datasets provide estimates of population counts for each 100 x 100m grid cell in the country for various years. Please refer to the metadata file and WorldPop website (www.worldpop.org) for full information.
Internally displaced persons are defined according to the 1998 Guiding Principles (http://www.internal-displacement.org/publications/1998/ocha-guiding-principles-on-internal-displacement) as people or groups of people who have been forced or obliged to flee or to leave their homes or places of habitual residence, in particular as a result of armed conflict, or to avoid the effects of armed conflict, situations of generalized violence, violations of human rights, or natural or human-made disasters and who have not crossed an international border.
"People Displaced" refers to the number of people living in displacement as of the end of each year.
"New Displacement" refers to the number of new cases or incidents of displacement recorded, rather than the number of people displaced. This is done because people may have been displaced more than once.
Contains data from IDMC's data portal.
OCHA ROAP
Updated August 16, 2018
| Dataset date: Jun 5, 2015
These datasets provide the delimitation of highways, feeder and farm roads in Bhutan.
The road dataset was created in 2008 by the GoB National Land Commission and obtained from the Bhutan Geospatial Portal in May 2015 and includes road surface information and road names where known.
This dataset can be complemented by the OSM dataset that includes several additional roads in the north east.
OCHA ROAP
Updated August 16, 2018
| Dataset date: Jun 5, 2015
This OSM spatial dataset is a national dataset of watercourses for Bhutan with hydrological heirarchy. Watercourse names in English are included where known.
OCHA ROAP
Updated August 16, 2018
| Dataset date: Jun 5, 2015
These spatial datasets of settlements are national datasets of populated places across Bhutan.
The Global Discovery data includes the location name in English and associated dzonghag and gewog name and code. This can be complemented by the OSM dataset that includes additional settlements with location name in English, place type and the associated dzonghag and gewog name and code.
OCHA ROAP
Updated August 15, 2018
| Dataset date: Oct 1, 2013
This spatial dataset provides the admin boundaries of Bhutan. The datasets were created in 2013 by the GoB National Land Commission and obtained from the Bhutan Geospatial Portal in May 2015 and P-code updated by UNOCHA on November 2017.
Information about UNHCR's populations of concern in {country}. The data appears in two formats: a "wide" format, with all indicators in the same row, and a "long" (timeline) format, with one indicator on each row. All are disaggregated by country of origin, country of residence, and year.
