China, Hong Kong Special Administrative Region
[3]
China, Macao Special Administrative Region
[3]
Colombia
[11]
Comoros
[4]
Congo
[7]
Cook Islands
[1]
Costa Rica
[7]
Croatia
[5]
Cuba
[4]
Curaçao
[1]
Cyprus
[4]
Czechia
[4]
Côte d'Ivoire
[7]
Democratic People's Republic of Korea
[4]
Democratic Republic of the Congo
[9]
Denmark
[4]
Djibouti
[5]
Dominica
[1]
Dominican Republic
[7]
Ecuador
[8]
Egypt
[9]
El Salvador
[7]
Equatorial Guinea
[6]
Eritrea
[5]
Estonia
[4]
Eswatini
[6]
Ethiopia
[10]
Faroe Islands
[3]
Fiji
[3]
Finland
[4]
France
[5]
French Polynesia
[1]
Gabon
[6]
Gambia
[5]
Georgia
[5]
Germany
[4]
Ghana
[9]
Gibraltar
[3]
Greece
[6]
Greenland
[2]
Grenada
[1]
Guadeloupe
[1]
Guam
[3]
Guatemala
[8]
Guernsey
[2]
Guinea
[7]
Guinea-Bissau
[4]
Guyana
[4]
Haiti
[8]
Holy See
[1]
Honduras
[10]
Hungary
[4]
Iceland
[3]
India
[11]
Indonesia
[10]
Iran (Islamic Republic of)
[6]
Iraq
[10]
Ireland
[4]
Isle of Man
[2]
Israel
[6]
Italy
[5]
Jamaica
[5]
Japan
[5]
Jersey
[2]
Jordan
[8]
Kazakhstan
[6]
Kenya
[10]
Kiribati
[2]
Kosovo
[1]
Kuwait
[5]
Kyrgyzstan
[6]
Lao People's Democratic Republic
[6]
Latvia
[3]
Lebanon
[10]
Lesotho
[5]
Liberia
[6]
Libya
[8]
Liechtenstein
[3]
Lithuania
[4]
Luxembourg
[3]
Madagascar
[7]
Malawi
[8]
Malaysia
[7]
Maldives
[6]
Mali
[8]
Malta
[3]
Marshall Islands
[2]
Martinique
[1]
Mauritania
[6]
Mauritius
[3]
Mexico
[11]
Micronesia (Federated States of)
[3]
Monaco
[3]
Mongolia
[7]
Montenegro
[3]
Morocco
[6]
Mozambique
[9]
Myanmar
[9]
Namibia
[5]
Nauru
[2]
Nepal
[10]
Netherlands
[4]
New Caledonia
[1]
New Zealand
[4]
Nicaragua
[7]
Niger
[7]
Nigeria
[10]
Niue
[1]
North Macedonia
[6]
Northern Mariana Islands
[1]
Norway
[4]
Oman
[4]
Pakistan
[11]
Palau
[2]
Panama
[7]
Papua New Guinea
[4]
Paraguay
[7]
Peru
[8]
Philippines
[11]
Poland
[4]
Portugal
[4]
Puerto Rico
[1]
Qatar
[4]
Republic of Korea
[3]
Republic of Moldova
[5]
Romania
[5]
Russian Federation
[5]
Rwanda
[7]
Réunion
[1]
Saint Barthélemy
[1]
Saint Helena
[1]
Saint Kitts and Nevis
[1]
Saint Lucia
[2]
Saint Martin
[1]
Saint Vincent and the Grenadines
[2]
Samoa
[2]
San Marino
[2]
Sao Tome and Principe
[3]
Saudi Arabia
[7]
Senegal
[8]
Serbia
[6]
Seychelles
[4]
Sierra Leone
[6]
Singapore
[5]
Sint Maarten
[1]
Slovakia
[4]
Slovenia
[4]
Solomon Islands
[3]
Somalia
[8]
South Africa
[10]
South Sudan
[8]
Spain
[4]
Sri Lanka
[7]
State of Palestine
[7]
Sudan
[9]
Suriname
[4]
Sweden
[4]
Switzerland
[4]
Syrian Arab Republic
[8]
Taiwan (Province of China)
[2]
Tajikistan
[5]
Thailand
[8]
Timor-Leste
[4]
Togo
[6]
Tokelau
[1]
Tonga
[2]
Trinidad and Tobago
[3]
Tunisia
[6]
Turkmenistan
[3]
Turks and Caicos Islands
[2]
Tuvalu
[2]
Türkiye
[10]
Uganda
[9]
Ukraine
[9]
United Arab Emirates
[5]
United Kingdom
[4]
United Republic of Tanzania
[6]
United States
[5]
United States Virgin Islands
[1]
Uruguay
[5]
Uzbekistan
[4]
Vanuatu
[3]
Venezuela (Bolivarian Republic of)
[6]
Viet Nam
[8]
World
[4]
Yemen
[8]
Zambia
[8]
Zimbabwe
[6]
LessMore
Formats:
CSV
[51]
EMF
[1]
Garmin IMG
[76]
GeoJSON
[2]
GeoTIFF
[5]
Geodatabase
[1]
Geopackage
[78]
KML
[76]
PDF
[5]
SHP
[84]
Web App
[4]
XLSX
[8]
LessMore
Organisations:
Armed Conflict Location & Event Data Project (ACLED)
[1]
Data for Good at Meta
[1]
Food and Agriculture Organization (FAO)
[2]
Global Healthsites Mapping Project
[1]
HDX
[2]
Humanitarian OpenStreetMap Team (HOT)
[76]
Insecurity Insight
[3]
Internal Displacement Monitoring Centre (IDMC)
[2]
International Aid Transparency Initiative
[1]
International Federation of Red Cross and Red Crescent Societies (IFRC)
[1]
Johns Hopkins University Center for Systems Science and Engineering
[1]
Kontur
[2]
OCHA Financial Tracking System (FTS)
[1]
OCHA Regional Office for Asia and the Pacific (ROAP)
[2]
OurAirports
[1]
Oxford Poverty & Human Development Initiative
[1]
Qatar Computing Research Institute
[1]
UNDP Human Development Reports Office (HDRO)
[1]
UNESCO
[1]
UNHCR - The UN Refugee Agency
[5]
UNICEF Data and Analytics (HQ)
[1]
United Nations Development Coordination Office
[1]
United Nations Human Settlement Programmes, Data and Analytics Section
[1]
WFP - World Food Programme
[4]
WFP Advanced Disaster Analysis & Mapping
[6]
World Bank Group
[23]
World Health Organization
[2]
WorldPop
[5]
geoBoundaries
[1]
LessMore
Tags:
administrative boundaries-divisions
[3]
affected population
[5]
agriculture-livestock
[2]
aid effectiveness
[2]
aid worker security
[2]
aid workers
[1]
asylum seekers
[1]
aviation
[8]
baseline population
[6]
births
[1]
cash voucher assistance-cva
[2]
casualties
[2]
children
[1]
climate hazards
[1]
climate-weather
[4]
conflict-violence
[6]
covid-19
[6]
cyclones-hurricanes-typhoons
[5]
damage assessment
[1]
demographics
[5]
development
[8]
disease
[2]
displacement
[2]
earthquake-tsunami
[3]
economics
[17]
education
[16]
education facilities-schools
[8]
energy
[2]
environment
[5]
epidemics-outbreaks
[1]
facilities-infrastructure
[39]
fatalities
[3]
food security
[3]
funding
[3]
gazetteer
[2]
gender
[4]
geodata
[91]
health
[16]
health facilities
[9]
hxl
[48]
hydrology
[7]
indicators
[35]
internally displaced persons-idp
[3]
livelihoods
[3]
logistics
[7]
malaria
[1]
malnutrition
[1]
markets
[2]
maternity
[2]
mental health
[1]
mortality
[2]
natural disasters
[1]
needs assessment
[4]
nutrition
[4]
points of interest-poi
[7]
populated places-settlements
[7]
population
[2]
ports
[7]
poverty
[3]
railways
[7]
refugees
[1]
rivers
[7]
roads
[7]
services
[7]
severe acute malnutrition-sam
[1]
social media data
[1]
socioeconomics
[6]
stateless persons
[1]
survey
[2]
sustainable development
[1]
sustainable development goals-sdg
[4]
trade
[3]
transportation
[30]
vaccination-immunization
[3]
water sanitation and hygiene-wash
[3]
who is doing what and where-3w-4w-5w
[1]
LessMore
Licenses:
Creative Commons Attribution International
[32]
Creative Commons Attribution Share-Alike
[9]
Creative Commons Attribution for Intergovernmental Organisations
[14]
ODbL
[1]
Open Database License (ODC-ODbL)
[78]
Other
[14]
Public Domain
[1]
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/
[1]
This dataset contains agency- and open source events published in the Attacks on Health Care News Brief and included in the Safeguarding Health in Conflict Coalition (SHCC) annual reporting on violence against or obstruction of health care. This page is managed by SHCC member Insecurity Insight.
Please get in touch if you are interested in curated datasets: info@insecurityinsight.org
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
More than 200 million businesses use Facebook globally. The goal of Meta’s quarterly Small Business Surveys is to learn about the unique perspectives, challenges and opportunities of small and medium-sized businesses (SMBs).
The Future of Business (FoB) Survey is conducted biannually in partnership with the World Bank and the Organisation for Economic Cooperation and Development (OECD) across nearly 100 countries. The target population consists of SMEs that have an active Facebook Business Page and include both newer and longer-standing businesses, spanning across a variety of sectors. Meta also conducts the Global State of Small Business (GSoSB) Survey bi-annually in partnership with various academic partners across approximately 30 countries. Similarly to the FoB Survey, the target population is active Facebook Page Administrators, but also includes the general population of Facebook users.
Survey questions for all surveys cover a range of topics depending on the survey wave such as business characteristics, challenges, financials and strategy in addition to custom modules related to regulation, gender inequity, access to finance, digital technologies, reduction in revenues, business closures, international trade, inflation, reduction of employees and challenges/needs of the business.
Aggregated country level data for each survey wave is available to the public on HDX and controlled access microdata is available to Data for Good at Meta partners. Please visit https://dataforgood.facebook.com/dfg/tools/future-of-business-survey to apply for access to microdata or contact dataforgood@fb.com for any questions.
The survey aims to understand refugee children’s access to education in the age between 3 to 18 and their needs for the government’s assistance in public school enrolment.
Education indicators for China.
Contains data from the UNESCO Institute for Statistics bulk data service covering the following categories: SDG 4 Global and Thematic (made 2022 September), Other Policy Relevant Indicators (made 2022 September), Demographic and Socio-economic (made 2022 September)
The map and chart below show the number of COVID-19 vaccination doses administered per 100 people within a given population. Note that this does not measure the total number of people that have been vaccinated (which is usually two doses).
This dataset contains the following administrative boundaries: ADM0, ADM1, ADM2, ADM3.
Produced and maintained since 2017, the geoBoundaries Global Database of Political Administrative Boundaries Database www.geoboundaries.org is an open license, standardized resource of boundaries (i.e., state, county) for every country in the world.
Live list of active aid activities for China shared via the International Aid Transparency Initiative (IATI). Includes both humanitarian and development activities. More information on each activity (including financial data) is available from http://www.d-portal.org
UNHCR uses Post-Distribution Monitoring (PDM) as a mechanism to collect refugees' feedback on the quality, sufficiency, utilization and effectiveness of the assistance items they receive. The underlying principle behind the process is linked to accountability, as well as a commitment to improve the quality and relevance of support provided. UNHCR increasingly uses Cash-Based Interventions (CBIs) as a preferred modality for delivering assistance, offering greater dignity and choice to forcibly displaced and stateless persons in line with UNHCR's core protection mandate. In order to ensure that the cash assistance provided meets the intended programme objectives and that desired outcomes are achieved, UNHCR conducts regular post-distribution and outcome monitoring with a sample or all of refugee recipients.
UNHCR supported 109 refugee households in 11 provinces in China with cash assistance in Quarter 2, 2021. The CBI PDM was conducted between June and July 2021 to assess outcomes of the assistance. More than half the households receiving cash assistance are individuals without family. UNHCR’s cash assistance is beneficial to its recipients as respondents point to improved living conditions (90%), relieved financial burdens (90%/75) and reduction in feeling of stress (96%). In terms of coping strategies, almost 68% of all beneficiaries had to take out a new loan or borrowed money over the last three months.
The COVID-19 Vaccination Survey in China was conducted in July 2021 to understand refugees' accessibility and willingness to receive a COVID-19 vaccination in China. UNHCR stresses that no one can be left behind in the global effort against COVID-19 and is monitoring the inclusion of refugees and asylum seekers in vaccination plans around the world. At the time, Chinese government policy did not provide free vaccines for foreigners without social security. The survey results however show that this policy was implemented with some flexibility, because among the few that were vaccinated already, more than half received a free COVID-19 vaccine. Some refugees reported difficulties or lack of information about vaccine registration or identity documents to book an appointment. Results further show that even though most are willing to get vaccinated, anti-vaccine sentiments are driven by fear of side effects.
This no longer updated 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.
Under the leadership of UNDP and DCO, an inter-agency task team developed the UN framework for the immediate socio-economic response to COVID-19 (adopted in April 2020) to govern its response over 12 to 18 months. To measure the UN’s support to the socio-economic response and recovery, UN entities developed a simple monitoring framework with 18 programmatic indicators (endorsed by the UNSDG in July 2020). Lead entities – based on their mandate and comparative advantage – were nominated to lead the development of methodological notes for each indicator and lead the collection of data at the country level. These lead entities reported through the Office of the Resident Coordinators the collective UN results on a quarterly basis through UN Info. All 2020 data was reported by March 2021. This is the UN development system’s first comprehensive attempt at measuring its collective programming contribution and results.
These programmatic indicators enabled the UN system to monitor the progress and achievements of UNCT’s collective actions in socio-economic response. In support of the Secretary-General’s call for a "… single, consolidated dashboard to provide up-to-date visibility on [COVID-19] activities and progress across all pillars” all data was published in real time on the COVID-19 data portal, hosted by DCO. The data is disaggregated by geography (rural/urban), sex, age group and at-risk populations -- to measure system-wide results on the socio-economic response to the pandemic, in order to ensure UNDS accountability and transparency for results.
WorldPop produces different types of gridded population count datasets, depending on the methods used and end application.
Please make sure you have read our Mapping Populations overview page before choosing and downloading a dataset.
Bespoke methods used to produce datasets for specific individual countries are available through the WorldPop Open Population Repository (WOPR) link below.
These are 100m resolution gridded population estimates using customized methods ("bottom-up" and/or "top-down") developed for the latest data available from each country.
They can also be visualised and explored through the woprVision App.
The remaining datasets in the links below are produced using the "top-down" method,
with either the unconstrained or constrained top-down disaggregation method used.
Please make sure you read the Top-down estimation modelling overview page to decide on which datasets best meet your needs.
Datasets are available to download in Geotiff and ASCII XYZ format at a resolution of 3 and 30 arc-seconds (approximately 100m and 1km at the equator, respectively):
- Unconstrained individual countries 2000-2020 ( 1km resolution ): Consistent 1km resolution population count datasets created using
unconstrained top-down methods for all countries of the World for each year 2000-2020.
- Unconstrained individual countries 2000-2020 ( 100m resolution ): Consistent 100m resolution population count datasets created using
unconstrained top-down methods for all countries of the World for each year 2000-2020.
- Unconstrained individual countries 2000-2020 UN adjusted ( 100m resolution ): Consistent 100m resolution population count datasets created using
unconstrained top-down methods for all countries of the World for each year 2000-2020 and adjusted to match United Nations national population estimates (UN 2019)
-Unconstrained individual countries 2000-2020 UN adjusted ( 1km resolution ): Consistent 1km resolution population count datasets created using
unconstrained top-down methods for all countries of the World for each year 2000-2020 and adjusted to match United Nations national population estimates (UN 2019).
-Unconstrained global mosaics 2000-2020 ( 1km resolution ): Mosaiced 1km resolution versions of the "Unconstrained individual countries 2000-2020" datasets.
-Constrained individual countries 2020 ( 100m resolution ): Consistent 100m resolution population count datasets created using
constrained top-down methods for all countries of the World for 2020.
-Constrained individual countries 2020 UN adjusted ( 100m resolution ): Consistent 100m resolution population count datasets created using
constrained top-down methods for all countries of the World for 2020 and adjusted to match United Nations national
population estimates (UN 2019).
Older datasets produced for specific individual countries and continents, using a set of tailored geospatial inputs and differing "top-down" methods and time periods are still available for download here: Individual countries and Whole Continent.
Data for earlier dates is available directly from WorldPop.
WorldPop (www.worldpop.org - School of Geography and Environmental Science, University of Southampton; Department of Geography and Geosciences, University of Louisville; Departement de Geographie, Universite de Namur) and Center for International Earth Science Information Network (CIESIN), Columbia University (2018). Global High Resolution Population Denominators Project - Funded by The Bill and Melinda Gates Foundation (OPP1134076). https://dx.doi.org/10.5258/SOTON/WP00645
China administrative level 0 (country), 1 (province, autonomous region, municipality, or special administrative region), and 2 (prefecture-level units) boundaries and gazetteer
Vetting and live service provision by Information Technology Outreach Services (ITOS) with funding from USAID.
JHU Has Stopped Collecting Data As Of 03/10/2023
After three years of around-the-clock tracking of COVID-19 data from around the world, Johns Hopkins has discontinued the Coronavirus Resource Center’s operations.
The site’s two raw data repositories will remain accessible for information collected from 1/22/20 to 3/10/23 on cases, deaths, vaccines, testing and demographics.
Novel Corona Virus (COVID-19) epidemiological data since 22 January 2020. The data is compiled by the Johns Hopkins University Center for Systems Science and Engineering (JHU CCSE) from various sources including the World Health Organization (WHO), DXY.cn, BNO News, National Health Commission of the People’s Republic of China (NHC), China CDC (CCDC), Hong Kong Department of Health, Macau Government, Taiwan CDC, US CDC, Government of Canada, Australia Government Department of Health, European Centre for Disease Prevention and Control (ECDC), Ministry of Health Singapore (MOH), and others. JHU CCSE maintains the data on the 2019 Novel Coronavirus COVID-19 (2019-nCoV) Data Repository on Github.
Fields available in the data include Province/State, Country/Region, Last Update, Confirmed, Suspected, Recovered, Deaths.
On 23/03/2020, a new data structure was released. The current resources for the latest time series data are:
time_series_covid19_confirmed_global.csv
time_series_covid19_deaths_global.csv
time_series_covid19_recovered_global.csv
---DEPRECATION WARNING---
The resources below ceased being updated on 22/03/2020 and were removed on 26/03/2020:
time_series_19-covid-Confirmed.csv
time_series_19-covid-Deaths.csv
time_series_19-covid-Recovered.csv
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:
building:materials
addr:street
office
addr:full
addr:city
name
addr:housenumber
building
source
building:levels
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:
waterway IS NOT NULL OR water IS NOT NULL OR natural IN ('water','wetland','bay')
Features may have these attributes:
blockage
width
depth
covered
tunnel
water
layer
natural
waterway
name
source
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:
lanes
width
smoothness
surface
oneway
bridge
layer
name
source
highway
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 week
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:
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
source
addr:city
rooms
name
shop
addr:housenumber
addr:full
addr:street
tourism
amenity
beds
opening_hours
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:
building:materials
addr:street
office
addr:full
addr:city
name
addr:housenumber
building
source
building:levels
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:
building:materials
addr:street
office
addr:full
addr:city
name
addr:housenumber
building
source
building:levels
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:
building:materials
addr:street
office
addr:full
addr:city
name
addr:housenumber
building
source
building:levels
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:
surface
source
width
name
bridge
lanes
smoothness
highway
layer
oneway
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