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.
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.
This data is the collection of perception of people affected by earthquake in Nepal. The data is collected in 14 district of Nepal which has more than sixty percent of damage level by earthquake in 2015. The total of 2100 people are surveyed in various VDC of the district.
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.
This data is collected from the survey conducted in 14 earthquake affected district in Nepal in September 2017. Total of 2100 respondent were interviewed.
All VDCs in the 14 priority affected districts in which 60 percent or more of the households are eligible for the housing reconstruction grant will be considered part of the survey’s operating area, and eligible for random selection. The population of each district will be considered the total population of all eligible VDCs, as per the 2011 census. The first 2000 samples of the survey will then be distributed by district proportionally.
The remaining 100 surveys will be allocated to districts where the total proportional sample size is under 100 respondents, in order to boost the population for an adequate district level analysis of the findings. The number of VDCs selected in each district will vary, depending upon the number of samples allocated to each district. Each VDC will have a minimum of two wards sampled, and each ward a minimum of 10
surveys completed. Both VDCs and wards will be randomly selected from the list of eligible VDCs. Twenty-ve percent of the total sample will be allocated for municipalities, and municipalities will be randomly selected where there is more than one municipality in a district. In municipalities a minimum of three wards will be sampled, with a minimum of 10 surveys collected per ward
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.
"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.
"People Displaced" refers to the number of people living in displacement as of the end of each year.
Contains data from IDMC's data portal.
WorldPop
Updated January 23, 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.
HDX
Updated January 18, 2018
| Dataset date: Jun 1, 2015
Topline figures dataset for the Nepal Earthquake crisis page.
Figures for Number of People in Need of Assistance are sourced from the UN RCO (Nepal) situation reports.
OCHA ROAP
Updated December 13, 2017
| Dataset date: Nov 15, 2017
This dataset consists of 7 zipped shape files. They contain GIS data for States (Adm1) and Local Units (Adm2) as both lines and polygons. These new boundaries are officially recognized as part of the federal structure of Nepal. Also included are districts. While not formally part of this new structure, they are still commonly used particularly in humanitarian response.
The Global Food Prices Database has data on food prices (e.g., beans, rice, fish, and sugar) for 76 countries and some 1,500 markets. The dataset includes around 500,000 records and is updated monthly. The data goes back as far as 1992 for a few countries, although most of the price trends start in 2000-2002.
Standby Task Force
Updated November 29, 2017
| Dataset date: Apr 25, 2015-May 6, 2015
3W (response activity) information collected by volunteers by scanning media and soliciting information from responders. Personally-identifiable information (contact names and emails) removed from the original spreadsheet.
Data about UNHCR's populations of concern originating from Nepal. There are five types of data available (by year, unless otherwise noted):
Persons of concern
Time-series data for refugees
Refugee status determination for asylum seekers
Number of asylum seekers (by month).
Refugees resettled.
The source data comes from the UNHCR Population Statistics portal.
Data about UNHCR's populations of concern residing in Nepal. There are six types of data available (by year, unless otherwise noted):
Persons of concern
Time-series data for refugees
Demographic profile of refugees
Refugee status determination for asylum seekers
Number of asylum seekers (by month).
Refugees resettled.
The source data comes from the UNHCR Population Statistics portal.
