China, Hong Kong Special Administrative Region
[8]
China, Macao Special Administrative Region
[5]
Colombia
[25]
Comoros
[8]
Congo
[11]
Cook Islands
[3]
Costa Rica
[24]
Croatia
[10]
Cuba
[5]
Curaçao
[11]
Cyprus
[6]
Czechia
[8]
Côte d'Ivoire
[11]
Democratic People's Republic of Korea
[5]
Democratic Republic of the Congo
[13]
Denmark
[9]
Djibouti
[12]
Dominica
[6]
Dominican Republic
[23]
Ecuador
[24]
Egypt
[12]
El Salvador
[13]
Equatorial Guinea
[10]
Eritrea
[7]
Estonia
[8]
Eswatini
[8]
Ethiopia
[15]
Falkland Islands (Malvinas)
[1]
Faroe Islands
[4]
Fiji
[7]
Finland
[10]
France
[10]
French Guiana
[5]
French Polynesia
[4]
Gabon
[13]
Gambia
[9]
Georgia
[9]
Germany
[9]
Ghana
[14]
Gibraltar
[3]
Greece
[9]
Greenland
[2]
Grenada
[5]
Guadeloupe
[6]
Guam
[5]
Guatemala
[14]
Guernsey
[2]
Guinea
[11]
Guinea-Bissau
[10]
Guyana
[17]
Haiti
[12]
Holy See
[1]
Honduras
[16]
Hungary
[8]
Iceland
[6]
India
[12]
Indonesia
[15]
Iran (Islamic Republic of)
[6]
Iraq
[12]
Ireland
[9]
Isle of Man
[4]
Israel
[6]
Italy
[10]
Jamaica
[9]
Japan
[10]
Jersey
[3]
Jordan
[12]
Kazakhstan
[10]
Kenya
[15]
Kiribati
[5]
Kosovo
[2]
Kuwait
[7]
Kyrgyzstan
[9]
Lao People's Democratic Republic
[13]
Latvia
[6]
Lebanon
[12]
Lesotho
[10]
Liberia
[11]
Libya
[10]
Liechtenstein
[3]
Lithuania
[8]
Luxembourg
[7]
Madagascar
[12]
Malawi
[12]
Malaysia
[13]
Maldives
[9]
Mali
[13]
Malta
[7]
Marshall Islands
[5]
Martinique
[6]
Mauritania
[10]
Mauritius
[8]
Mayotte
[3]
Mexico
[23]
Micronesia (Federated States of)
[5]
Monaco
[3]
Mongolia
[12]
Montenegro
[6]
Montserrat
[1]
Morocco
[9]
Mozambique
[13]
Myanmar
[12]
Namibia
[10]
Nauru
[4]
Nepal
[12]
Netherlands
[10]
New Caledonia
[5]
New Zealand
[9]
Nicaragua
[10]
Niger
[10]
Nigeria
[14]
Niue
[1]
North Macedonia
[10]
Northern Mariana Islands
[3]
Norway
[9]
Oman
[7]
Pakistan
[13]
Palau
[4]
Panama
[21]
Papua New Guinea
[10]
Paraguay
[92]
Peru
[24]
Philippines
[17]
Poland
[10]
Portugal
[10]
Puerto Rico
[4]
Qatar
[7]
Republic of Korea
[8]
Republic of Moldova
[9]
Romania
[12]
Russian Federation
[8]
Rwanda
[11]
Réunion
[4]
Saint Barthélemy
[1]
Saint Helena
[1]
Saint Kitts and Nevis
[3]
Saint Lucia
[8]
Saint Martin
[2]
Saint Vincent and the Grenadines
[7]
Samoa
[6]
San Marino
[3]
Sao Tome and Principe
[7]
Saudi Arabia
[9]
Senegal
[14]
Serbia
[11]
Seychelles
[6]
Sierra Leone
[10]
Singapore
[8]
Sint Maarten
[2]
Slovakia
[9]
Slovenia
[8]
Solomon Islands
[7]
Somalia
[7]
South Africa
[12]
South Sudan
[9]
Spain
[9]
Sri Lanka
[9]
State of Palestine
[8]
Sudan
[7]
Suriname
[9]
Sweden
[9]
Switzerland
[9]
Syrian Arab Republic
[6]
Taiwan (Province of China)
[8]
Tajikistan
[11]
Thailand
[14]
Timor-Leste
[8]
Togo
[12]
Tokelau
[1]
Tonga
[5]
Trinidad and Tobago
[17]
Tunisia
[14]
Turkmenistan
[5]
Turks and Caicos Islands
[4]
Tuvalu
[4]
Türkiye
[12]
Uganda
[14]
Ukraine
[9]
United Arab Emirates
[8]
United Kingdom
[9]
United Republic of Tanzania
[11]
United States
[10]
United States Minor Outlying Islands
[1]
United States Virgin Islands
[5]
Uruguay
[20]
Uzbekistan
[11]
Vanuatu
[6]
Venezuela (Bolivarian Republic of)
[6]
Viet Nam
[16]
Wallis and Futuna Islands
[2]
World
[3]
Yemen
[7]
Zambia
[14]
Zimbabwe
[13]
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Formats:
CSV
[54]
EMF
[1]
Garmin IMG
[11]
GeoJSON
[13]
GeoTIFF
[5]
Geodatabase
[1]
Geopackage
[13]
JSON
[1]
KML
[11]
PDF
[5]
SHP
[14]
TSV
[1]
TXT
[1]
Web App
[1]
XLSX
[18]
zip
[2]
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Organisations:
Armed Conflict Location & Event Data Project (ACLED)
[1]
Data for Good at Meta
[7]
Food and Agriculture Organization (FAO)
[2]
Global Healthsites Mapping Project
[1]
HDX
[3]
Humanitarian OpenStreetMap Team (HOT)
[11]
Inter-Agency Coordination Platform for Refugees and Migrants from Venezuela
[7]
Internal Displacement Monitoring Centre (IDMC)
[2]
International Aid Transparency Initiative
[1]
International Federation of Red Cross and Red Crescent Societies (IFRC)
[2]
Johns Hopkins University Center for Systems Science and Engineering
[1]
Kontur
[2]
OCHA Financial Tracking System (FTS)
[2]
OCHA Latin America and the Caribbean (ROLAC)
[1]
Observatorio Latioamericano de Desarrollo Sostenible
[1]
OurAirports
[1]
Oxford Poverty & Human Development Initiative
[1]
The DHS Program
[2]
UNDP Human Development Reports Office (HDRO)
[1]
UNESCO
[1]
UNFPA
[1]
UNHCR - The UN Refugee Agency
[2]
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]
World Bank Group
[24]
World Health Organization
[2]
WorldPop
[5]
geoBoundaries
[1]
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Tags:
administrative boundaries-divisions
[3]
affected population
[4]
agriculture-livestock
[2]
aid effectiveness
[2]
aid worker security
[1]
asylum seekers
[2]
aviation
[2]
baseline population
[8]
births
[2]
casualties
[1]
children
[2]
climate hazards
[1]
climate-weather
[5]
conflict-violence
[4]
covid-19
[10]
demographics
[11]
development
[9]
disease
[4]
displacement
[2]
economics
[12]
education
[9]
education facilities-schools
[1]
elderly
[1]
employment
[1]
energy
[2]
environment
[6]
epidemics-outbreaks
[3]
facilities-infrastructure
[11]
fatalities
[1]
flooding-storm surge
[1]
food security
[3]
funding
[6]
gazetteer
[3]
gender
[5]
geodata
[21]
health
[16]
health facilities
[2]
humanitarian access
[1]
humanitarian response plan-hrp
[6]
hxl
[47]
hydrology
[1]
indicators
[34]
internally displaced persons-idp
[3]
livelihoods
[1]
malaria
[1]
malnutrition
[1]
markets
[2]
maternity
[3]
men
[1]
mental health
[1]
migration
[2]
mortality
[2]
needs assessment
[5]
nutrition
[5]
operational partners
[3]
operational presence
[3]
people in need-pin
[5]
points of interest-poi
[1]
populated places-settlements
[1]
population
[2]
ports
[1]
poverty
[5]
protection
[1]
railways
[1]
refugees
[7]
rivers
[1]
roads
[1]
services
[1]
severe acute malnutrition-sam
[1]
social media data
[1]
socioeconomics
[7]
stateless persons
[1]
sustainable development
[1]
sustainable development goals-sdg
[2]
trade
[3]
transportation
[7]
vaccination-immunization
[3]
water sanitation and hygiene-wash
[3]
who is doing what and where-3w-4w-5w
[2]
women
[1]
youth
[1]
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Licenses:
Creative Commons Attribution International
[44]
Creative Commons Attribution for Intergovernmental Organisations
[16]
ODbL
[1]
Open Database License (ODC-ODbL)
[13]
Other
[12]
Public Domain
[1]
Public Domain / No Restrictions
[4]
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]
Live list of active aid activities for Paraguay 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
Overview
The dataset contains harmonized indicators created from high-frequency phone surveys collected by the World Bank and partners. The surveys capture the socioeconomic impacts of the COVID-19 pandemic on households and individuals from all developing regions. Data are available for over 90 indicators in 14 topic areas, including education, food security, income, safety nets, and others. For more information, please refer to our Technical Note and Data Dictionary.
Unit of Measure
Percentages.
Aggregation Method:
The data is aggregated by Urban/Rural/National and Industry Sector
Disclaimer:
This harmonized dataset is an ongoing collation and harmonization of COVID-19 high-frequency phone survey (HFPS) data. Harmonization involves redefining indicators and categories so that they are comparable across countries. As a result, even if the names and definitions of indicators appear similar, numbers in this global database might differ slightly from those of each country's publications or dashboard. If you see large discrepancies or other issues, please reach out.
Version Notes:
COVID-19 Harmonized Household Data Feb 18 • Temporarily suppressed select income, labor, and government assistance indicators collected after wave 2 surveys for harmonization review • Added need for, and access to medical care in multiple countries • Temporarily suppressed select income, labor and government assistance indicators collected after wave 2 surveys for harmonization review
Funding Name, Abbreviation, Role:
The project received support from the Trust Fund for Statistical Capacity Building III (TFSCB-III). TFSCB-III is funded by the United Kingdom’s Foreign, Commonwealth & Development Office, the Department of Foreign Affairs and Trade of Ireland, and the Governments of Canada and Korea.
Other Acknowledgments:
This dashboard was created by the Data for Goals (D4G) team and the Regional High-Frequency Phone Survey (HFPS) Focal Points in the EFI Poverty and Equity Global Practice (POV GP), under the guidance of POV GP management, using data collected under the World Bank-wide COVID-19 HFPS initiative.
Time Periods:
March, 2021
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.
Data on access constraints, aid workers security, % of affected CERF and CBPF projects combined with the status of Polio vaccination in the HRP countries.
The dataset contains 93 harmonized indicators on 14 topics (demographic, food security, education, labor, health..) on households and individuals in 44 countries across all developing regions.
Paraguay administrative level 0-2 boundaries
These boundaries are suitable for database or GIS linkage to the Paraguay - Subnational Population Statistics tables.
16 September 2020 update:
P-codes revised to conform to newest COD-PS
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
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
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.
Datasets are available to download in Geotiff and ASCII XYZ format at a resolution of 30 arc-seconds (approximately 1km at the equator)
-Unconstrained individual countries 2000-2020: Population density datasets for all countries of the World for each year 2000-2020 – derived from the corresponding
Unconstrained individual countries 2000-2020 population count datasets by dividing the number of people in each pixel by the pixel surface area.
These are produced using the unconstrained top-down modelling method.
-Unconstrained individual countries 2000-2020 UN adjusted: Population density datasets for all countries of the World for each year 2000-2020 – derived from the corresponding
Unconstrained individual countries 2000-2020 population UN adjusted count datasets by dividing the number of people in each pixel,
adjusted to match the country total from the official United Nations population estimates (UN 2019), by the pixel surface area.
These are produced using the unconstrained top-down modelling method.
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/WP00674
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.
A description of the modelling methods used for age and sex structures can be found in
Tatem et al and
Pezzulo et al. Details of the input population count datasets used can be found here, and age/sex structure proportion datasets here.
Both top-down 'unconstrained' and 'constrained' versions of the datasets are available, and the differences between the two methods are outlined
here. The datasets represent the outputs from a project focused on construction of consistent 100m resolution population count datasets for all countries of the World structured by male/female and 5-year age classes (plus a <1 year class). These efforts necessarily involved some shortcuts for consistency. The unconstrained datasets are available for each year from 2000 to 2020.
The constrained datasets are only available for 2020 at present, given the time periods represented by the building footprint and built settlement datasets used in the mapping.
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/WP00646
The urban indicators data available here are analyzed, compiled and published by UN-Habitat’s Global Urban Observatory which supports governments, local authorities and civil society organizations to develop urban indicators, data and statistics. Urban statistics are collected through household surveys and censuses conducted by national statistics authorities. Global Urban Observatory team analyses and compiles urban indicators statistics from surveys and censuses. Additionally, Local urban observatories collect, compile and analyze urban data for national policy development. Population statistics are produced by the United Nations Department of Economic and Social Affairs, World Urbanization Prospects.
The health and survival of women and their new-born babies in low income countries is a key public health priority, but basic and consistent subnational data on the number of live births to support decision making has been lacking. WorldPop integrates small area data on the distribution of women of childbearing age and age-specific fertility rates to map the estimated distributions of births for each 1x1km grid square across all low and middle income countries. Further details on the methods can be found in Tatem et al. and James et al..
Data for earlier dates is available directly from WorldPop.
WorldPop (www.worldpop.org - School of Geography and Environmental Science, University of Southampton). 2017. Paraguay 1km births. Version 2.0 2015 estimates of numbers of live births per grid square, with national totals adjusted to match UN national estimates on numbers of live births (http://esa.un.org/wpp/). DOI: 10.5258/SOTON/WP00404
The health and survival of women and their new-born babies in low income countries is a key public health priority, but basic and consistent subnational data on the number of pregnancies to support decision making has been lacking. WorldPop integrates small area data on the distribution of women of childbearing age, age-specific fertility rates, still births and abortions to map the estimated distributions of pregnancies for each 1x1km grid square across all low and middle income countries. Further details on the methods can be found in Tatem et al and James et al..
Data for earlier dates is available directly from WorldPop.
WorldPop (www.worldpop.org - School of Geography and Environmental Science, University of Southampton). 2017. Paraguay 1km pregnancies. Version 2.0 2015 estimates of numbers of pregnancies per grid square, with national totals adjusted to match national estimates on numbers of pregnancies made by the Guttmacher Institute (http://www.guttmacher.org) DOI: 10.5258/SOTON/WP00512