Updated January 28, 2020
| Dataset date: Jan 1, 2017-Dec 31, 2019
This dataset updates: Every month
This page provides the data published in the Education in Danger Monthly News Brief. The first dataset covers events where educators were killed, kidnapped or arrested (KKA) and incidents where schools were damaged or destroyed by a perpetrator including state and non-state actors, criminals, individuals, students and other staff members. The second dataset includes threats and incidents of violence as well as protests and other events affecting education in 2018.
For a breakdown on the number of educators killed, kidnapped or arrested (KKA), see In Harms Way dataset.
All data contains incidents identified in open sources. Categorized by country.
Updated January 28, 2020
| Dataset date: Jan 28, 2020
This dataset updates: Every day
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.
Updated January 27, 2020
| Dataset date: Jan 1, 1990-Dec 31, 2017
This dataset updates: Every year
Contains data from the DHS data portal. There is also a dataset containing Jordan - National Demographic and Health Data on HDX.
The DHS Program Application Programming Interface (API) provides software developers access to aggregated indicator data from The Demographic and Health Surveys (DHS) Program. The API can be used to create various applications to help analyze, visualize, explore and disseminate data on population, health, HIV, and nutrition from more than 90 countries.
Updated January 27, 2020
| Dataset date: Jan 1, 1990-Dec 31, 2017
This dataset updates: Every year
Contains data from the DHS data portal. There is also a dataset containing Jordan - Subnational Demographic and Health Data on HDX.
The DHS Program Application Programming Interface (API) provides software developers access to aggregated indicator data from The Demographic and Health Surveys (DHS) Program. The API can be used to create various applications to help analyze, visualize, explore and disseminate data on population, health, HIV, and nutrition from more than 90 countries.
Updated January 27, 2020
| Dataset date: Jan 1, 2019-Dec 31, 2019
This dataset updates: As needed
This layer contains information about the final classification deriving from the Integrated Context Analysis (ICA) run in Jordan in 2019, showing the areas of convergence between recurrence of food insecurity and propensity to natural shocks (floods and droughts).
Original dataset title: ICA Jordan, 2019 - ICA Categories & Areas
Updated January 27, 2020
| Dataset date: Jun 14, 2017
This dataset updates: As needed
This dataset is an extraction of streets and pathways from OpenStreetMap data made by WFP that follow UNSDIT standards.
The data is updated in near-real time from OSM servers and include all latest updates.
NOTE: this dataset doesn't include main roads that have been published on a separate dataset (main roads).
More documentation on the whole process for extracting OpenStreetMap roads can be found here: http://geonode.wfp.org/documents/6823/download
Updated January 27, 2020
| Dataset date: Jan 1, 2001-Dec 31, 2016
This dataset updates: As needed
This layer contains information about the land degradation phenomenon - by second-level administrative area - observed for the purposes of the Integrated Context Analysis (ICA) run in Jordan in 2019.
Data sources: HQ OSE GIS Analysis of NASA MODIS 2001-2016, WorldClim 1970-2000, FAO and NASA SRTM Digital Elevation Model data.
The main indicators used for the analysis were the average ecological changes observed between 2001-2006 and 2011-2016 and the percentage of erosion-prone surface.
Original dataset title: ICA Jordan, 2019 - Land Degradation, 2001-2016
Updated January 27, 2020
| Dataset date: Jan 1, 2010-Dec 31, 2014
This dataset updates: As needed
This layer contains information about the recurrence of food insecurity conditions observed and used for the Integrated Context Analysis (ICA) run in Jordan in 2019.
Data source: Department of Statistics (DoS), 2010-2014.
The key indicator used for the analysis was the Food Consumption Score (FCS), which aggregates household-level data on the diversity and frequency of food groups consumed over the previous seven days, then weighted according to the relative nutritional value of the consumed food groups. Given the values of food insecurity across the country (with a national, multi-year average of 4.6%), a threshold equal to 5% has been chosen to allow a better separation of severely affected areas from better-off geographical areas.
Original dataset title: ICA Jordan, 2019 - Recurrence of food insecurity, 2010-2014
Updated January 27, 2020
| Dataset date: Jan 1, 2019-Dec 31, 2019
This dataset updates: As needed
This layer contains information about the flood hazard estimated and used for the Integrated Context Analysis (ICA) run in Jordan in 2019.
Data source: WFP JOCO analysis of national rainfall intensity data from MWI (Ministry of Water and Irrigation) and 30m Digital Elevation Model (DEM) through the Watershed Modeling System (WMS).
The main indicator used for the analysis was the normalized flood intensity, expressed as the ratio between the peak flow and the drainage area.
For more information about the flood hazard analysis, please find the flood hazard map report at the following link: https://www.wfp.org/publications/2019-flood-hazard-map-jordan
Original dataset title: ICA Jordan, 2019 - Flood hazard, 2019
Updated January 27, 2020
| Dataset date: Jan 1, 1980-Dec 31, 2016
This dataset updates: As needed
This layer contains information about the drought hazard estimated and used for the Integrated Context Analysis (ICA) run in Jordan in 2019.
Data source: “CDI Validation summary report and drought vulnerability maps”, UNDP 2018.
The key indicators used were natural factors related to exposure and a combination of natural and human-driven factors for the sensitivity. Adaptive capacity, on the other hand, has been based on the availability of resources, socio-economic indicators, legislation and capacity of relevant institutions and society.
Original dataset title: ICA Jordan, 2019 - Drought hazard, 1980-2016
Updated January 27, 2020
| Dataset date: Jun 14, 2017
This dataset updates: As needed
This dataset is an extraction of roads from OpenStreetMap data made by WFP following UNSDI-T standards.
The data is updated in near-real time from OSM servers and include all latest updates.
NOTE: this dataset doesn't include streets and pathways that have been published on a separate dataset (streets and pathways).
More documentation on the whole process for extracting OpenStreetMap roads can be found here: http://geonode.wfp.org/documents/6823/download
Updated January 27, 2020
| Dataset date: Jan 1, 2019-Dec 31, 2019
This dataset updates: As needed
This layer contains information about the severity of the combined natural hazards (droughts and floods) used for the Integrated Context Analysis (ICA) run in Jordan in 2019.
Data source: WFP JOCO analysis of national rainfall intensity data from MWI (Ministry of Water and Irrigation) and 30m Digital Elevation Model (DEM) through the Watershed Modeling System (WMS), “CDI Validation summary report and drought vulnerability maps”, UNDP 2018.
Original dataset title: ICA Jordan, 2019 - Natural shocks hazard
Updated January 26, 2020
| Dataset date: Jan 1, 1999-Dec 31, 2018
This dataset updates: Every year
FAO statistics collates and disseminates food and agricultural statistics globally. The division develops methodologies and standards for data collection, and holds regular meetings and workshops to support member countries develop statistical systems. We produce publications, working papers and statistical yearbooks that cover food security, prices, production and trade and agri-environmental statistics.
Updated January 26, 2020
| Dataset date: Jan 1, 1990-Jan 15, 2020
This dataset updates: Every week
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.
Updated January 26, 2020
| Dataset date: Jan 15, 2011-Dec 15, 2019
This dataset updates: Every week
This dataset contains Food Prices data for Jordan. 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.
This dataset includes incidents affecting the affecting the protection of IDPs and refugees. The data contains incidents identified in open sources. Categorized by country.
This page provides the data published in the Attacks on Health Care Monthly News Brief. For data supporting the Safeguarding Health in Conflict Coalition (SHCC), please see: https://data.humdata.org/dataset/shcchealthcare-dataset
The first dataset '2019 Attacks on Health Care KKADD' covers events where health workers were killed, kidnapped or arrested (KKA) and incidents where health facilities or ambulances were damaged or destroyed by a perpetrator including state and non-state actors, criminals, individuals, students and other staff members so far in 2019.
The remaining datasets include threats and incidents of violence as well as protests and other events affecting health care between September and December 2018.
For a breakdown on the number of health workers killed, kidnapped or arrested (KKA), see In Harms Way dataset.
All data contains incidents identified in open sources. Categorized by country.
Updated January 1, 2020
| Dataset date: Jan 1, 2020
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
addr:full
addr:housenumber
addr:street
office
building:materials
addr:city
building:levels
building
source
This dataset is one of many OpenStreetMap exports on
HDX.
See the Humanitarian OpenStreetMap Team website for more
information.
Updated January 1, 2020
| Dataset date: Jan 1, 2020
This dataset updates: Every month
OpenStreetMap exports for use in GIS applications.
This theme includes all OpenStreetMap features in this area matching:
railway IN ('rail','subway','station')
Features may have these attributes:
name
layer
addr:full
ele
addr:city
operator:type
railway
source
This dataset is one of many OpenStreetMap exports on
HDX.
See the Humanitarian OpenStreetMap Team website for more
information.
Updated January 1, 2020
| Dataset date: Jan 1, 2020
This dataset updates: Every month
OpenStreetMap exports for use in GIS applications.
This theme includes all OpenStreetMap features in this area matching:
amenity = 'ferry_terminal' OR building = 'ferry_terminal' OR port IS NOT NULL
Features may have these attributes:
name
amenity
addr:full
addr:city
building
operator:type
port
source
This dataset is one of many OpenStreetMap exports on
HDX.
See the Humanitarian OpenStreetMap Team website for more
information.
Updated January 1, 2020
| Dataset date: Jan 1, 2020
This dataset updates: Every month
OpenStreetMap exports for use in GIS applications.
This theme includes all OpenStreetMap features in this area matching:
aeroway IS NOT NULL OR building = 'aerodrome' OR emergency:helipad IS NOT NULL OR emergency = 'landing_site'
Features may have these attributes:
capacity:persons
name
emergency:helipad
addr:full
emergency
addr:city
building
aeroway
operator:type
source
This dataset is one of many OpenStreetMap exports on
HDX.
See the Humanitarian OpenStreetMap Team website for more
information.
Updated January 1, 2020
| Dataset date: Jan 1, 2020
This dataset updates: Every month
OpenStreetMap exports for use in GIS applications.
This theme includes all OpenStreetMap features in this area matching:
amenity IN ('kindergarten','school','college','university') OR building IN ('kindergarten','school','college','university')
Features may have these attributes:
capacity:persons
name
amenity
addr:full
addr:city
building
operator:type
source
This dataset is one of many OpenStreetMap exports on
HDX.
See the Humanitarian OpenStreetMap Team website for more
information.
Updated January 1, 2020
| Dataset date: Jan 1, 2020
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:
man_made
name
tourism
amenity
opening_hours
addr:full
addr:housenumber
addr:street
beds
addr:city
rooms
source
shop
This dataset is one of many OpenStreetMap exports on
HDX.
See the Humanitarian OpenStreetMap Team website for more
information.
