Conflict and disaster population movement (flows) data for El Salvador. The data is the most recent available and covers a 180 day time period.
Internally displaced persons are defined according to the 1998 Guiding Principles 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.
The IDMC's Event data, sourced from the Internal Displacement Updates (IDU), offers initial assessments of internal displacements reported within the last 180 days. This dataset provides provisional information that is continually updated on a daily basis, reflecting the availability of data on new displacements arising from conflicts and disasters. The finalized, carefully curated, and validated estimates are then made accessible through the Global Internal Displacement Database (GIDD). The IDU dataset comprises preliminary estimates aggregated from various publishers or sources.
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.
The Food and Agriculture Organization of the United Nations (FAO) has developed a monitoring system in 26 food crisis countries to better understand the impacts of various shocks on agricultural livelihoods, food security and local value chains.
The Monitoring System consists of primary data collected from households on a periodic basis (more or less every four months, depending on seasonality). Data are collected through Computer-Assisted Telephone Interviews (CATI) and in-person surveys where the circumstances allow for field access.
As the system is developed, the information collected and analyzed is being used to guide strategic decisions, to design programmes and to inform analytical processes such as the Integrated Phase Classification (IPC) and the Humanitarian Needs Overview (HNO).
At the core of the system is a standardized household questionnaire administered to around 150,000 households per year across the 26 countries. Standardization permits comparisons across time and space, considerably enhancing the utility of the data for decision makers. At minimum the household data are representative at Admin 1 level (e.g. province, or region) and in frequent cases at Admin 2 level (e.g. district).
Core funding for this initiative comes from the United States Agency for International Development (USAID). The initiative also benefits from support from the European Union and FAOโs Special Fund for Emergency and Rehabilitation (SFERA).
In each aggregated field, the values indicate the frequencies of the different responses, expressed as a weighted percentage of the total sample.
The present datasets represents aggregated data referring to household interviews performed after December 2022. At every new survey data release, after cleaning and validation phases, aggregated data is appended to the present dataset.
For real-time updates, for accessing archived data and for additional survey-specific information, please visit the DIEM Hub: https://data-in-emergencies.fao.org/
View the column descriptions here.
Metadata available here.
Questionnaires used for data collection available here.
Reference administrative boundaries (levels 0, 1 and 2) available here in GIS format.
This dataset contains dekadal NDVI indicators computed from NASA's Moderate Resolution Imaging Spectroradiometer (MODIS) collection 6.1 from the Aqua and Terra satellite aggregated by sub-national administrative units.
Included indicators are (for each dekad):
10 day NDVI (vim)
NDVI long term average (vim_lta)
10 day NDVI anomaly [%] (viq)
The administrative units used for aggregation are based on WFP data and contain a Pcode reference attributed to each unit. The number of input pixels used to create the aggregates, is provided in the n_pixelscolumn.
This dataset contains dekadal rainfall indicators computed from Climate Hazards Group InfraRed Precipitation satellite imagery with insitu Station data (CHIRPS) version 2, aggregated by subnational administrative units.
Included indicators are (for each dekad):
10 day rainfall [mm] (rfh)
rainfall 1-month rolling aggregation [mm] (r1h)
rainfall 3-month rolling aggregation [mm] (r3h)
rainfall long term average [mm] (rfh_avg)
rainfall 1-month rolling aggregation long term average [mm] (r1h_avg)
rainfall 3-month rolling aggregation long term average [mm] (r3h_avg)
rainfall anomaly [%] (rfq)
rainfall 1-month anomaly [%] (r1q)
rainfall 3-month anomaly [%] (r3q)
The administrative units used for aggregation are based on WFP data and contain a Pcode reference attributed to each unit. The number of input pixels used to create the aggregates, is provided in the n_pixelscolumn.
This dataset contains Food Prices data for El Salvador, sourced from the World Food Programme Price Database. The World Food Programme Price Database covers foods such as maize, rice, beans, fish, and sugar for 98 countries and some 3000 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.
'Our World in Data' is compiling COVID-19 testing data over time for many countries around the world. They are adding further data in the coming days as more details become available for other countries. In some cases figures refer to the number of tests, in other cases to the number of individuals who have been tested. Refer to documentation provided here.
Food Prices for El Salvador.
Contains data from the FAOSTAT bulk data service covering the following categories: Consumer Price Indices, Deflators, Exchange rates, Producer Prices
InterAction is an alliance of international NGOs, all working to make the world a more peaceful, just, and prosperous place. NGO Aid Map highlights the work of InterAction Member NGOs around the globe.
The Movement Distribution dataset shows the range of movement of people away from the area where they live on a daily basis. These maps are useful for projects focused on transportation, tourism, displacement, and other areas.
More info available here: https://dataforgood.facebook.com/dfg/tools/movement-distribution-maps
OpenStreetMap contains roughly 623.7 thousand buildings in this region. Based on AI-mapped estimates, this is approximately 46% of the total buildings.The average age of data for this region is 1 year, 11 months ( Last edited 22 days ago ) and 2% buildings were added or updated in the last 6 months.
Read about what this summary means : indicators , metrics
OpenStreetMap exports for use in GIS applications.
This theme includes all OpenStreetMap features in this area matching ( Learn what tags means here ) :
tags['building'] IS NOT NULL
Features may have these attributes:
name
name:en
building
building:levels
building:materials
addr:full
addr:housenumber
addr:street
addr:city
office
source
name:es
This dataset is one of many OpenStreetMap exports on
HDX.
See the Humanitarian OpenStreetMap Team website for more
information.
OpenStreetMap contains roughly 39.6 thousand km of roads in this region. Based on AI-mapped estimates, this is approximately 77 % of the total road length in the dataset region. The average age of data for the region is 1 year, 11 months ( Last edited 22 days ago ) and 15% of roads were added or updated in the last 6 months.
Read about what this summary means : indicators , metrics
OpenStreetMap exports for use in GIS applications.
This theme includes all OpenStreetMap features in this area matching ( Learn what tags means here ) :
tags['highway'] IS NOT NULL
Features may have these attributes:
name
name:en
highway
surface
smoothness
width
lanes
oneway
bridge
layer
source
name:es
This dataset is one of many OpenStreetMap exports on
HDX.
See the Humanitarian OpenStreetMap Team website for more
information.
100+ Downloads
This dataset updates: Every month
This dataset is part of the data series [?]: HOTOSM - Roads
OpenStreetMap exports for use in GIS applications.
This theme includes all OpenStreetMap features in this area matching ( Learn what tags means here ) :
tags['amenity'] IN ('mobile_money_agent','bureau_de_change','bank','microfinance','atm','sacco','money_transfer','post_office')
Features may have these attributes:
name
name:en
amenity
operator
network
addr:full
addr:city
source
name:es
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 ( Learn what tags means here ) :
tags['aeroway'] IS NOT NULL OR tags['building'] = 'aerodrome' OR tags['emergency:helipad'] IS NOT NULL OR tags['emergency'] = 'landing_site'
Features may have these attributes:
name
name:en
aeroway
building
emergency
emergency:helipad
operator:type
capacity:persons
addr:full
addr:city
source
name:es
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 ( Learn what tags means here ) :
tags['healthcare'] IS NOT NULL OR tags['amenity'] IN ('doctors', 'dentist', 'clinic', 'hospital', 'pharmacy')
Features may have these attributes:
name
name:en
amenity
building
healthcare
healthcare:speciality
operator:type
capacity:persons
addr:full
addr:city
source
name:es
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 ( Learn what tags means here ) :
tags['railway'] IN ('rail','station')
Features may have these attributes:
name
name:en
railway
ele
operator:type
layer
addr:full
addr:city
source
name:es
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 ( Learn what tags means here ) :
tags['waterway'] IS NOT NULL OR tags['water'] IS NOT NULL OR tags['natural'] IN ('water','wetland','bay')
Features may have these attributes:
name
name:en
waterway
covered
width
depth
layer
blockage
tunnel
natural
water
source
name:es
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 ( Learn what tags means here ) :
tags['place'] IN ('isolated_dwelling', 'town', 'village', 'hamlet', 'city')
Features may have these attributes:
name
name:en
place
population
is_in
source
name:es
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 ( Learn what tags means here ) :
tags['amenity'] = 'ferry_terminal' OR tags['building'] = 'ferry_terminal' OR tags['port'] IS NOT NULL
Features may have these attributes:
name
name:en
amenity
building
port
operator:type
addr:full
addr:city
source
name:es
This dataset is one of many OpenStreetMap exports on
HDX.
See the Humanitarian OpenStreetMap Team website for more
information.