Romania - Humanitarian Data Exchange

Europe: Coronavirus (COVID-19) Subnational Cases

HDX

3000+ Downloads

Time Period of the Dataset [?]: August 02, 2021-December 08, 2024 ... More

This dataset updates: As needed

This dataset is part of the data series [?]: HDX - COVID-19 Subnational Cases

This dataset contains the number of confirmed cases, recoveries and deaths by country and subnational region due to the Coronavirus pandemic in Europe. Since the outbreak of the COVID-19 crisis, the Joint Research Centre (JRC) has been supporting the European Commission in multidisciplinary areas to understand the COVID-19 emergency, anticipate its impacts, and support contingency planning. This data provides an overview of the monitoring in the area of the 34 UCPM Participating States plus Switzerland related to sub-national data (admin level 1) on numbers of contagious and fatalities by COVID-19, collected directly from the National Authoritative sources (National monitoring websites, when available). The sub-national granularity of the data allows to have a fit-for-purpose model to early capture the local spread and response to the COVID-19 outbreak. The data is maintained on the JRC COVID-19 Github Repository

CSV

Romania - Subnational Edge-matched Administrative Boundaries

OCHA Field Information Services Section (FISS)

COD+ 200+ Downloads

Time Period of the Dataset [?]: May 03, 2022-December 08, 2024 ... More

This dataset updates: Every year

This dataset is part of the data series [?]: OCHA - Subnational Edge-matched Administrative Boundaries

Romania administrative level 0-2 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 Romania - Subnational Population Statistics tables. Vetting and live service provision by Information Technology Outreach Services (ITOS) with funding from USAID.

Romania - Subnational Administrative Boundaries

OCHA Field Information Services Section (FISS)

COD+ 600+ Downloads

Time Period of the Dataset [?]: March 09, 2022-December 08, 2024 ... More

This dataset updates: Every year

This dataset is part of the data series [?]: COD - Subnational Administrative Boundaries

Romania administrative level 0-2 boundaries and gazetteer These layers are suitable for database or GIS linkage to the Romania - Subnational Population Statistics tables using the ADM0, ADM1, and ADM2_PCODE attribute fields.

Small Business Surveys - Aggregated Data

Data for Good at Meta

16000+ Downloads

Time Period of the Dataset [?]: September 01, 2016-March 24, 2023 ... More

This dataset updates: Every three months

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.

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Border Monitoring of Refugee Arrivals from Ukraine into Hungary, Moldova,...

UNHCR - The UN Refugee Agency

20+ Downloads

Time Period of the Dataset [?]: February 28, 2022-June 05, 2022 ... More

This dataset updates: Never

More than 8 million refugees have fled Ukraine since the escalation of conflict on 24 February 2022. The number of people crossing fluctuated greatly in the early onset of the war in Ukraine. To understand the drivers of displacement and intentions of refugees, over 18,000 interviews were conducted with people crossing from Ukraine into Poland, Hungary, Moldova and Slovakia. Interviews were conducted at several border checkpoint and certain reception centers, and began on 28 February. Interviewees were selected purposively to gain a broader understanding of experiences and intentions, and results should therefore be considered indicative. This dataset is the anonymized version of the original data.

Web App
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Romania - Protection Profiling and Monitoring - May-Dec 2022

UNHCR - The UN Refugee Agency

Time Period of the Dataset [?]: May 01, 2022-December 31, 2022 ... More

This dataset updates: Never

This dataset is part of the data series [?]: UNHCR - Protection Monitoring

To strengthen and promote an evidence-based protection response, UNHCR and its partners have been implementing a protection monitoring exercise since May 2022 to regularly collect and analyze data about the profiles, needs and intentions of refugees from Ukraine and monitor changes over time. The exercise covers the following countries that have received refugees from Ukraine: Belarus, Bulgaria, Hungary, Republic of Moldova (5,035), Poland, Romania and Slovakia. The protection monitoring involves household-level interviews conducted at border crossing points, reception and transit centres, collective sites, and assistance points in major cities using a structured questionnaire. Trained enumerators from UNHCR and partners collect data in face-to-face interviews. While respondents are randomly selected to reduce bias, the sample is considered a non-probability sample and results should be considered indicative, meaning they cannot be extrapolated to the population of refugees from Ukraine. The result reflects the refugees' situation and intentions at the time of data collection. This dataset includes 5,275 household interviews conducted in Romania between May and December 2022. It is an anonymous version of the original data collected and used for the primary analysis.

Web App
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Relative Wealth Index

Data for Good at Meta

27000+ Downloads

Time Period of the Dataset [?]: April 01, 2021-February 17, 2023 ... More

This dataset updates: As needed

The Relative Wealth Index predicts the relative standard of living within countries using de-identified connectivity data, satellite imagery and other nontraditional data sources. The data is provided for 93 low and middle-income countries at 2.4km resolution. Please cite / attribute any use of this dataset using the following: Microestimates of wealth for all low- and middle-income countries Guanghua Chi, Han Fang, Sourav Chatterjee, Joshua E. Blumenstock Proceedings of the National Academy of Sciences Jan 2022, 119 (3) e2113658119; DOI: 10.1073/pnas.2113658119 More details are available here: https://dataforgood.fb.com/tools/relative-wealth-index/ Research publication for the Relative Wealth Index is available here: https://www.pnas.org/content/119/3/e2113658119 Press coverage of the release of the Relative Wealth Index here: https://www.fastcompany.com/90625436/these-new-poverty-maps-could-reshape-how-we-deliver-humanitarian-aid An interactive map of the Relative Wealth Index is available here: http://beta.povertymaps.net/

CSV

Admissions for Treatment of Severe Acute Malnutrition (SAM)

UNICEF Data and Analytics (HQ)

400+ Downloads

Time Period of the Dataset [?]: February 08, 2021-December 08, 2024 ... More

This dataset updates: Live

Number of children 6-59 months admitted for TREATMENT OF SEVERE ACUTE MALNUTRITION (SAM) by country

CSV

Climate Change Opinion Survey

Data for Good at Meta

4800+ Downloads

Time Period of the Dataset [?]: February 17, 2021-June 28, 2022 ... More

This dataset updates: Every year

In partnership with Yale, Meta launched a climate change opinion survey that explores public climate change knowledge, attitudes, policy preferences, and behaviors. The 2022 survey includes respondents from nearly 200 countries and territories. We are sharing country level data from this survey, providing policymakers, research institutions, and nonprofits with an international view of public climate change opinion. For more information please see https://dataforgood.facebook.com/dfg/tools/climate-change-opinion-survey If you're interested in becoming a research partner and accessing record level data, please email dataforgood@fb.com.

XLSX

Movement Range Maps

Data for Good at Meta

55000+ Downloads

Time Period of the Dataset [?]: March 01, 2020-May 24, 2022 ... More

This dataset updates: As needed

NOTE: We plan to no longer update this dataset after May 22 2022. These data sets are intended to inform researchers and public health experts about how populations are responding to physical distancing measures. In particular, there are two metrics, Change in Movement and Stay Put, that provide a slightly different perspective on movement trends. Change in Movement looks at how much people are moving around and compares it with a baseline period that predates most social distancing measures, while Stay Put looks at the fraction of the population that appear to stay within a small area during an entire day. Full details, including the privacy protections in this data, are available here: https://research.fb.com/blog/2020/06/protecting-privacy-in-facebook-mobility-data-during-the-covid-19-response/

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Romania: High Resolution Population Density Maps + Demographic Estimates

Data for Good at Meta

1400+ Downloads

Time Period of the Dataset [?]: September 19, 2019-March 17, 2022 ... More

This dataset updates: Never

This dataset is part of the data series [?]: Data for Good at Meta - High Resolution Population Density Maps and Demographic Estimates

The world's most accurate population datasets. Seven maps/datasets for the distribution of various populations in Romania: (1) Overall population density (2) Women (3) Men (4) Children (ages 0-5) (5) Youth (ages 15-24) (6) Elderly (ages 60+) (7) Women of reproductive age (ages 15-49).

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Current IATI aid activities in Romania

International Aid Transparency Initiative

Time Period of the Dataset [?]: January 01, 2019-December 08, 2024 ... More

This dataset updates: Live

This dataset is part of the data series [?]: IATI - Current IATI aid activities

Live list of active aid activities for Romania 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 https://d-portal.org

CSV

COVID-19 High-Frequency indicators

World Bank Group

700+ Downloads

Time Period of the Dataset [?]: December 01, 2020-February 19, 2021 ... More

This dataset updates: As needed

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.

XLSX

Romania - Population Counts

WorldPop

50+ Downloads

Time Period of the Dataset [?]: January 01, 2000-December 31, 2020 ... More

This dataset updates: As needed

This dataset is part of the data series [?]: World Pop - Population Counts

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

GeoTIFF

Novel Coronavirus (COVID-19) Cases Data

Johns Hopkins University Center for Systems Science and Engineering

437000+ Downloads

Time Period of the Dataset [?]: January 22, 2020-March 09, 2023 ... More

This dataset updates: As needed

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

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Airports in Romania

OurAirports

40+ Downloads

Time Period of the Dataset [?]: January 01, 2008-December 08, 2024 ... More

This dataset updates: Live

This dataset is part of the data series [?]: Our Airports - Airports

List of airports in Romania, with latitude and longitude. Unverified community data from http://ourairports.com/countries/RO/

CSV

Romania - Population Density

WorldPop

50+ Downloads

Time Period of the Dataset [?]: January 01, 2000-December 31, 2020 ... More

This dataset updates: As needed

This dataset is part of the data series [?]: WorldPop - Population Density

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

GeoTIFF

Romania - Age and sex structures

WorldPop

80+ Downloads

Time Period of the Dataset [?]: January 01, 2000-December 31, 2020 ... More

This dataset updates: As needed

This dataset is part of the data series [?]: WorldPop - Age and sex structures

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

GeoTIFF