international aid transparency initiative-iati
[2]
languages
[30]
libya-floods
[22]
literacy
[49]
livelihoods
[412]
logistics
[236]
malaria
[240]
malnutrition
[54]
markets
[150]
maternity
[428]
men
[71]
mental health
[255]
migration
[177]
morocco-earthquake
[18]
mortality
[356]
natural disasters
[77]
needs assessment
[395]
non-food items-nfi
[48]
nutrition
[747]
openstreetmap
[33]
operational capacity
[162]
operational partners
[64]
operational presence
[146]
opt-israel-hostilities
[44]
peacekeeping
[93]
people in need-pin
[113]
points of interest-poi
[395]
populated places-settlements
[681]
population
[567]
ports
[407]
poverty
[474]
protection
[310]
railways
[409]
refugee crisis
[75]
refugees
[418]
returnees
[95]
rivers
[433]
roads
[473]
rural
[4]
sahel
[4]
services
[433]
severe acute malnutrition-sam
[31]
severity
[25]
sex and age disaggregated data-sadd
[81]
shelter
[99]
social media data
[10]
socioeconomics
[1169]
stateless persons
[224]
survey
[236]
sustainable development
[239]
sustainable development goals-sdg
[699]
topography
[40]
trade
[461]
transportation
[2187]
urban
[7]
vaccination-immunization
[244]
water sanitation and hygiene-wash
[676]
west africa
[42]
who is doing what and where-3w-4w-5w
[509]
women
[234]
youth
[248]
LessMore
Licenses:
CC BY 3.0 IGO
[178]
Creative Commons Attribution International
[7788]
Creative Commons Attribution Share-Alike
[321]
Creative Commons Attribution Share-Alike
[18]
Creative Commons Attribution for Intergovernmental Organisations
[3010]
Multiple Licenses
[7]
ODC-ODbL
[13]
ODbL
[204]
Open Data Commons Attribution License (ODC-BY)
[27]
Open Data Commons Public Domain Dedication and License (PDDL)
[3]
Open Database License (ODC-ODbL)
[4856]
Other
[3385]
Public Domain
[194]
Public Domain / No Restrictions
[422]
UN-Habitat’s urban datasets are made available under the Public Domain Dedication and License v1.0 whose full text can be found at: http://www.opendatacommons.org/licenses/pddl/1.0/
[166]
This dataset provides information on internally displaced persons (IDP) movements and spontaneous IDP returns estimations on a monthly basis. In each resource, there is a summary table for IDP arrival estimations at the governorate level since January 2016. Each resource also includes a summary table for spontaneous IDP returns estimations at the governorate level since August 2018.
The Syrian IDP camps monitoring interactive study is issued by the IMU of the ACU on a monthly basis, to monitor the humanitarian situation of 231 IDp camps in Idleb and Aleppo governorates in Syria’s northwest, shedding light on the needs of the IDPs and the services provided in the camps in the following sectors:
Population statistics, WASH, Health, Education, FSL, Shelter and NFI, in addition to the priority needs of IDPs. The study also includes statistics of those who arrive at and leave the camps and the important incidents which took place during the month of the data collection.
This product is funded by the CDCS-MEAE.
Disclaimer: The content, designations, and presentation of material in this report do not necessarily reflect the views or policies of the ACU or contributory organizations/donors, nor does it imply any endorsement.
Information is obtained from the ACU’s field network of enumerators by conducting Key Informant Interviews (KIIs) with sources believed to be reliable but are in no way guaranteed. No guarantee of any
kind is implied or possible where projections of future conditions are attempted.
This dashboard highlights the living situation in Syria by showing the prices of basic market items.
How to use this product:
The first three pages track price change chronologically on governorate level, with the ability to compare between them by choosing one or more.
The subsequent pages show the prices of market items on the governorate and sub-district level with an item availability heat map of any selected item on any selected level and period. You can select one of the listed items in one sub-district or more. When you choose a governorate its subdistrict(s) will be highlighted according to the availability of the selected item in the selected governorate(s).
This product is funded by the CDCS-MEAE.
Disclaimer: The content, designations, and presentation of material in this report do not necessarily reflect the views or policies of the ACU or contributory organizations/donors, nor does it imply any endorsement.
Information is obtained from the ACU’s field network of enumerators by conducting Key Informant Interviews (KIIs) with sources believed to be reliable but are in no way guaranteed. No guarantee of any
kind is implied or possible where projections of future conditions are attempted.
This dashboard monitors the population movements in Northern Syria in non-governmental areas. The data is collected from # communities and # IDP camps in the targeted area by the ACU field enumerators and triangulated with various sources like the local councils and humanitarian organizations to ensure the maximum level of accuracy. The baseline was set by cross-checking the population numbers from ACU Population Monitoring and HNAP statistics.
RESIDENT POPULATION: Resident populations are individuals or households living in a location and are neither displaced nor newly returned (in the current calendar year).
INTERNALLY DISPLACED PERSONS (IDPs): individuals who have been forced to flee their location of origin to another location within Syria for at least one month.
RETURNEES: are individuals who returned to their community of origin within the calendar year and have stayed for at least one month after having previously fled for at least one month.
Newly INTERNALLY DISPLACED PERSONS (N-IDPs): individuals who have been forced to flee their location of origin to another location within Syria, and at the time of the data collection, their stay in the displacement sites did not exceed one month.
Departures: individuals who were not in their original locations during the data collection period and had left their locations for about a month.
The aim of the Human Development Report is to stimulate global, regional and national policy-relevant discussions on issues pertinent to human development. Accordingly, the data in the Report require the highest standards of data quality, consistency, international comparability and transparency. The Human Development Report Office (HDRO) fully subscribes to the Principles governing international statistical activities.
The HDI was created to emphasize that people and their capabilities should be the ultimate criteria for assessing the development of a country, not economic growth alone. The HDI can also be used to question national policy choices, asking how two countries with the same level of GNI per capita can end up with different human development outcomes. These contrasts can stimulate debate about government policy priorities.
The Human Development Index (HDI) is a summary measure of average achievement in key dimensions of human development: a long and healthy life, being knowledgeable and have a decent standard of living. The HDI is the geometric mean of normalized indices for each of the three dimensions.
The 2019 Global Multidimensional Poverty Index (MPI) data shed light on the number of people experiencing poverty at regional, national and subnational levels, and reveal inequalities across countries and among the poor themselves.Jointly developed by the United Nations Development Programme (UNDP) and the Oxford Poverty and Human Development Initiative (OPHI) at the University of Oxford, the 2019 global MPI offers data for 101 countries, covering 76 percent of the global population.
The MPI provides a comprehensive and in-depth picture of global poverty – in all its dimensions – and monitors progress towards Sustainable Development Goal (SDG) 1 – to end poverty in all its forms. It also provides policymakers with the data to respond to the call of Target 1.2, which is to ‘reduce at least by half the proportion of men, women, and children of all ages living in poverty in all its dimensions according to national definition'.
Dominican Republic administrative level 0-2 projected 2023 sex and age disaggregated population statistics
REFERENCE YEAR: 2023
These tables are suitable for database or GIS linkage to the Dominican Republic - Subnational Administrative Boundaries or Dominican Republic - Subnational Edge-matched Administrative Boundaries layers using the ADM0, ADM1, and ADM2_PCODE fields.
The International Federation of Red Cross and Red Crescent Societies (IFRC) is the world’s largest humanitarian network. Our secretariat supports local Red Cross and Red Crescent action in more than 192 countries, bringing together almost 15 million volunteers for the good of humanity.
We launch Emergency Appeals for big and complex disasters affecting lots of people who will need long-term support to recover. We also support Red Cross and Red Crescent Societies to respond to lots of small and medium-sized disasters worldwide—through our Disaster Response Emergency Fund (DREF) and in other ways.
There is also a global dataset.
30+ Downloads
This dataset updates: Every week
This dataset is part of the data series [?]: IFRC - Appeals
This dataset was compiled by the United Nations Office for the Coordination of Humanitarian Affairs (UNOCHA) on behalf of the Humanitarian Country Team and partners. It provides the Humanitarian Country Team’s shared understanding of the crisis, including the most pressing humanitarian need and the estimated number of people who need assistance, and represents a consolidated evidence base and helps inform joint strategic response planning.
People in Need 2024:
The Excel files contains people in Need and people targeted for 2024 disaggregated by sex and age group per cluster and Admin 2 level. The data was approved for use by the Humanitarian Country Team, and it’s based on the Humanitarian Program Cycle 2024 in Yemen. The tables are suitable for database or GIS linkages to the Yemen – Administrative Boundaries.
Intersectoral People in Need 2022:
For the 2022 Humanitarian Needs Overview, Yemen applied the enhanced HPC approach and the corresponding IASC Joint Inter-sector Analysis Framework (JIAF) global guidance. More details in the methodology of the HNO 2022 in the below link.
https://reliefweb.int/sites/reliefweb.int/files/resources/Yemen_HNO_2022%20-%20Final%20Version%20%281%29.pdf
Cluster People in Need 2022:
The data file contains people in need for 2022 per cluster. The data approved for use by the Humanitarian Country Team and it’s based on the Humanitarian Needs Overview for 2022 in Yemen. The tables are suitable for database or GIS linkages to the Yemen – Administrative Boundaries. The full Humanitarian Needs Overview available in the below link:
https://reliefweb.int/sites/reliefweb.int/files/resources/Yemen_HNO_2022%20-%20Final%20Version%20%281%29.pdf
Yemen Population estimates for 2022:
The data contains population estimates for 2022. The projections are based on 2004 Census data. The population figures are dis-aggregated by governorate and district levels, both containing p-codes. The data is further dis-aggregated by sex and age groups. The data approved for use by the Humanitarian Country Team and used in Humanitarian Needs Overview (HNO) for Yemen in 2022. These tables are suitable for database or GIS linkage to the Yemen - Administrative Boundaries boundaries.
Intersectoral People in Need 2021:
For the 2021 Humanitarian Needs Overview, Yemen applied the enhanced HPC approach and the corresponding IASC Joint Inter-sector Analysis Framework (JIAF) global guidance. More details in the methodology of the HNO 2021 in the below link.
https://reliefweb.int/sites/reliefweb.int/files/resources/Yemen_HNO_2021_Final.pdf
Cluster People in Need 2021:
The data file contains people in need for 2021 per cluster. The data approved for use by the Humanitarian Country Team and it’s based on the Humanitarian Needs Overview for 2021 in Yemen. The tables are suitable for database or GIS linkages to the Yemen – Administrative Boundaries. The full Humanitarian Needs Overview available in the below link:
https://reliefweb.int/sites/reliefweb.int/files/resources/Yemen_HNO_2021_Final.pdf
Yemen Population estimates for 2021:
The data contains population estimates for 2021. The projections are based on 2004 Census data. The population figures are dis-aggregated by governorate and district levels, both containing p-codes. The data is further dis-aggregated by sex and age groups. The data approved for use by the Humanitarian Country Team and used in Humanitarian Needs Overview (HNO) for Yemen in 2021. These tables are suitable for database or GIS linkage to the Yemen - Administrative Boundaries boundaries.
1) Natural disaster events include avalanches, earthquakes, flooding, heavy rainfall & snowfall, and landslides & mudflows as recorded by OCHA field offices based on assessments in the field. 2) A natural disaster incident is defined as an event that has affected (i.e. impacted) people, who may or may not require humanitarian assistance. 3) The information includes assessment figures from OCHA, ANDMA, IOM, Red Crescent Societies, national NGOs, international NGOs, and ERM. 4) The number of affected people and houses damaged or destroyed are based on the reports received. These figures may change as updates are received.
Sierra Leone administrative level 0-4 edge-matched gazetteer, shapefiles, geodatabase, and geoservice.
This dataset was updated in January 2024 to correspond to the COD-AB with the newer five-regions administrative structure.
COD-EM datasets do not replace the authoritative COD-AB available here; however COD-EM datasets may be preferred for cartographic purposes. See caveats.
These layers are suitable for database or GIS linkage to the Sierra Leone - Subnational Population Statistics tables.
Vetting and live service provision by Information Technology Outreach Services (ITOS) with funding from USAID.
"Sint Maarten (Dutch part) administrative level 0-1 boundaries (COD-AB) dataset.
This COD-AB was most recently reviewed for accuracy and necessary changes 1 month(s) ago. The determination was: The COD-AB does not require any update.
Sourced from Sint Maarten Ministry of Public Housing, Spatial Planning, Environment and Infrastructure (VROMI).
Vetting and live geoservices provision by Information Technology Outreach Services (ITOS) with funding from USAID.
This COD-AB is suitable for database or GIS linkage to the Sint Maarten (Dutch part) COD-PS table(s) using the XX_PCODE, field(s).
An edge-matched (COD-EM) version of this COD-AB is available.
Administrative level 1 contains 8 features."
Saint Martin administrative level 0 edge-matched gazetteer, shapefiles, geodatabase, and geoservice.
COD-EM datasets do not replace the authoritative COD-AB available here; however COD-EM datasets may be preferred for cartographic purposes. See caveats.
These layers are suitable for database or GIS linkage to the Saint Martin- Subnational Population Statistics tables.
Vetting and live service provision by Information Technology Outreach Services (ITOS) with funding from USAID.