Republic of Moldova - Humanitarian Data Exchange

Republic of Moldova - Human Development Indicators

UNDP Human Development Reports Office (HDRO)

80+ Downloads

Time Period of the Dataset [?]: January 01, 1990-December 31, 2021 ... More

This dataset updates: Every year

This dataset is part of the data series [?]: UNDP Human Development Reports Office - Human Development Indicators

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'.

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Republic of Moldova - Multi-Sector Needs Assessment (MSNA) - 2023

UNHCR - The UN Refugee Agency

Time Period of the Dataset [?]: August 14, 2023-September 10, 2023 ... More

This dataset updates: Never

This dataset is part of the data series [?]: UNHCR - Multi-Sector Needs Assessment

The 2023 Multi-Sector Needs Assessment (MSNA) in Moldova evaluated the profiles and urgent needs of Ukrainian refugee households. Conducted as part of a regional Ukraine Situation response and used to inform the 2024 Regional Refugee Response Plan, the MSNA employed a non-probability sample of 850 respondents. The National Bureau of Statistics and Moldovan Parliament endorsed the approach, which was consulted through an inter-agency forum under the refugee coordination model. External partner Impact-REACH coordinated August-September 2023 data collection, training, and analysis. Respondents were selected based on refugee location data from the Moldovan Refugee Council, concentrated along the border with Ukraine. While not statistically representative, the MSNA provided indicative insights to guide the refugee response in Moldova.

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Ukraine Situation Protection Profiling and Monitoring - Oct 2022 - Feb 2023

UNHCR - The UN Refugee Agency

Time Period of the Dataset [?]: October 01, 2022-February 15, 2023 ... More

This dataset updates: Never

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

This comprehensive dataset provides invaluable insights into the evolving protection needs and integration challenges facing Ukrainian refugees several months into displacement in major host countries. It contains the results of 17,708 household interviews conducted by UNHCR and partners between October 2022 and February 15, 2023 across 5 key reception countries: Hungary, Republic of Moldova, Poland, Romania, and Slovakia. The interviews were carried out through rigorous random sampling at strategically selected locations including border crossings, reception and transit centers, collective sites, and assistance points in major cities. The questionnaire was redesigned for this second round to focus on pressing longer-term issues like healthcare, education, employment, housing, and local integration. While the sampling provides indicative findings only due to the non-probability approach, the dataset offers a rich evidence base to inform policy and programming. By comparing results over time with the first round (May-November 2022), researchers can analyze trends in refugees' situations, vulnerabilities, coping mechanisms, and unmet needs several months into displacement. The data collection was part of UNHCR's comprehensive protection profiling and monitoring exercise implemented since May 2022 to regularly gather insights into Ukrainian refugees' evolving profiles, risks, and needs. Detailed methodology documentation is provided to support proper interpretation and ethical utilization of the data.

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Republic of Moldova: Population Density for 400m H3 Hexagons

Kontur

10+ Downloads

Time Period of the Dataset [?]: July 10, 2023-November 01, 2023 ... More

This dataset updates: As needed

This dataset is part of the data series [?]: Kontur - Population Density for 400m H3 Hexagons

Republic of Moldova population density for 400m H3 hexagons. Built from Kontur Population: Global Population Density for 400m H3 Hexagons Vector H3 hexagons with population counts at 400m resolution. Fixed up fusion of GHSL, Facebook, Microsoft Buildings, Copernicus Global Land Service Land Cover, Land Information New Zealand, and OpenStreetMap data.

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Republic of Moldova - Internal displacements (New Displacements) - IDPs

Internal Displacement Monitoring Centre (IDMC)

100+ Downloads

Time Period of the Dataset [?]: January 01, 2008-December 31, 2008 ... More

This dataset updates: Every year

This dataset is part of the data series [?]: IDMC - Internally displaced persons

Internally displaced persons are defined according to the 1998 Guiding Principles (http://www.internal-displacement.org/publications/1998/ocha-guiding-principles-on-internal-displacement) as people or groups of people who have been forced or obliged to flee or to leave their homes or places of habitual residence, in particular as a result of armed conflict, or to avoid the effects of armed conflict, situations of generalized violence, violations of human rights, or natural or human-made disasters and who have not crossed an international border. "Internally displaced persons - IDPs" refers to the number of people living in displacement as of the end of each year. "Internal displacements (New Displacements)" refers to the number of new cases or incidents of displacement recorded, rather than the number of people displaced. This is done because people may have been displaced more than once. Contains data from IDMC's Global Internal Displacement Database.

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Europe: Ukraine Situation Protection Profiling and Monitoring - Feb-Jun 2023

UNHCR - The UN Refugee Agency

Time Period of the Dataset [?]: February 16, 2023-June 30, 2023 ... 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 implemented a protection profiling and monitoring exercise in Europe starting in May 2022 to regularly collect and analyze data about the profiles, protection risks, and needs of refugees from Ukraine and monitor changes over time. The exercise covered the following countries that received refugees from Ukraine: Belarus, Bulgaria, Czechia, Estonia, Hungary, Latvia, Lithuania, Republic of Moldova, Poland, Romania and Slovakia. The protection profiling and monitoring involved 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 collected data digitally using the Kobo Toolbox. While respondents were 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 at the time of data collection. The first round of data collection took place between May and Nov 2022. The focus of the first round was general profiling of Ukraine refugees and their needs, as well as key issues during the intial phase of the crisis such as family separation, etc. In October 2022, a new questionnaire was rolled out, shifting towards exploring longer-term issues in host countries such as access to health care, education, etc. The second round took place between Oct 2022 and 15 Feb 2023. overlapping slightly with the first round, however the datasets are not comparable due to the change in the questionnaire. The third round employed the same questionnaire as the second, and took place between 16 Feb and 30 Jun 2023. This dataset is the anonymous version of the data that was collected during the third round. It includes 21,340 household interviews. Data from the following countries are new to this round: Czechia, Estonia, Latvia, and Lithuania. The data from the first round is also available on the Microdata Library as a separate dataset for each country where the exercise took place.

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Moldova: subnational poverty

Oxford Poverty & Human Development Initiative

60+ Downloads

Time Period of the Dataset [?]: July 11, 2023-October 17, 2024 ... More

This dataset updates: Every year

This dataset is part of the data series [?]: Oxford Poverty and Human Development Initiative - Global Multidimensional Poverty Index

This table contains subnational multidimensional poverty data from the data tables published by the Oxford Poverty and Human Development Initiative (OPHI), University of Oxford. The global Multidimensional Poverty Index (MPI) measures multidimensional poverty in over 100 developing countries, using internationally comparable datasets and is updated annually. The measure captures the severe deprivations that each person faces at the same time using information from 10 indicators, which are grouped into three equally weighted dimensions: health, education, and living standards. The global MPI methodology is detailed in Alkire, Kanagaratnam & Suppa (2023).

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Moldova, Republic Of: Administrative Division with Aggregated Population

Kontur

10+ Downloads

Time Period of the Dataset [?]: April 07, 2022-April 07, 2022 ... More

This dataset updates: As needed

This dataset is part of the data series [?]: Kontur - Administrative Division with Aggregated Population

Moldova, Republic Of administrative division with aggregated population. Built from Kontur Population: Global Population Density for 400m H3 Hexagons on top of OpenStreetMap administrative boundaries data. Enriched with HASC codes for regions taken from Wikidata. Global version of boundaries dataset: Kontur Boundaries: Global administrative division with aggregated population

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Survey of intentions and perspectives of refugees from Ukraine #3 - Feb 2023

UNHCR - The UN Refugee Agency

10+ Downloads

Time Period of the Dataset [?]: December 21, 2022-January 14, 2023 ... More

This dataset updates: Never

To ensure the centrality of refugees’ voices in discussions about their future, as well as to inform evidence-based inter-agency responses in support of host Governments, UNHCR is leading the regular implementation of intentions surveys with refugees from Ukraine, collecting primary data on their profiles, their current situation and intentions, and the factors influencing their decision-making. The first and second regional intentions surveys were completed and the report published in July 2022 (https://data.unhcr.org/en/documents/details/94176) and September 2022 (https://data.unhcr.org/en/documents/details/95767). This data was collected during the third round, conducted between December 2022 and January 2023. The survey covered refugees hosted in countries in Europe. In addition, the third round included a longitudinal sample of refugees surveyed in both the second and third rounds. The report was published in Februrary 2023 (https://data.unhcr.org/en/documents/details/99072). A mixed methodological approach was used, combining two data collection modes. Around 3,900 refugee households (2,100 from countries neighboring Ukraine and 1,800 from other host countries) were interviewed either through a phone-based survey, web-based survey or face-to-face interview. A total of 887 households participated in both the second and third round (longitudinal sample). All surveys used a harmonized questionnaire. This data is an anonymous version of the original data collected and used for the primary analysis.

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Survey of intentions and perspectives of refugees from Ukraine #2 - Sept 2022

UNHCR - The UN Refugee Agency

20+ Downloads

Time Period of the Dataset [?]: August 01, 2022-September 30, 2022 ... More

This dataset updates: Never

This dataset is part of the data series [?]: UNHCR - Intention to return survey

To ensure the centrality of refugees’ voices in discussions about their future, as well as to inform evidence-based inter-agency responses in support of host Governments, UNHCR is leading the regular implementation of intentions surveys with refugees from Ukraine, collecting primary data on their profiles, their current situation and intentions, and the factors influencing their decision-making. The first regional intentions survey was completed and the report published in July 2022 (https://data.unhcr.org/en/documents/details/94176). This data was collected during the second round, conducted between August and September 2022. The scope was expanded to include not only countries neighbouring Ukraine but other host countries in Europe and beyond. In addition, the second round also includes a deeper analysis of the factors influencing refugees’ decisions, as well as key insights into their current socio-economic situation. The report was published in September 2022 (https://data.unhcr.org/en/documents/details/95767). A mixed methodological approach was used, combining different sampling approaches and data collection modes. Over 4,800 refugee households (2,000 from countries neighboring Ukraine and 2,800 from other host countries) were interviewed either through a phone-based survey, web-based survey or face-to-face interview. All surveys used a harmonized questionnaire. This data is an anonymous version of the original data collected and used for the primary analysis.

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Survey of intentions and perspectives of refugees from Ukraine #4 - June 2023

UNHCR - The UN Refugee Agency

10+ Downloads

Time Period of the Dataset [?]: April 24, 2023-May 19, 2023 ... More

This dataset updates: Never

To ensure the centrality of refugees’ voices in discussions about their future, as well as to inform evidence-based inter-agency responses in support of host Governments, UNHCR is leading the regular implementation of intentions surveys with refugees from Ukraine, collecting primary data on their profiles, their current situation and intentions, and the factors influencing their decision-making. The first, second and third regional intentions surveys were completed and the reports published in July 2022 (https://data.unhcr.org/en/documents/details/94176), September 2022 (https://data.unhcr.org/en/documents/details/95767) and February 2023 (https://data.unhcr.org/en/documents/details/99072). This data was collected during the fourth round, conducted between April and May 2023. The survey covered refugees hosted in countries in Europe. A mixed methodological approach was used, combining two data collection modes. Around 3,850 refugee households were interviewed either through a phone-based survey, web-based survey or face-to-face interview. The data include a mix of Fresh refugee households (i.e. not included in previous rounds) and Panel households (i.e. those included in at least one of the previous rounds). All surveys used a harmonized questionnaire. This data is an anonymous version of the original data collected and used for the primary analysis.

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Republic of Moldova - Subnational Population Statistics

UNFPA

COD+ 200+ Downloads

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

This dataset updates: Every year

This dataset is part of the data series [?]: COD - Subnational Population Statistics

Republic of Moldova administrative level 0-2 sex and age disaggregated 2020 projected population statistics These tables are suitable for database or GIS linkage to the Republic of Moldova - Subnational Administrative Boundaries administrative level 0-1 layers using the ADM0 and ADM1_PCODE fields.

Ukraine: Border Crossings

OCHA Ukraine

2800+ Downloads

Time Period of the Dataset [?]: May 30, 2023-January 23, 2024 ... More

This dataset updates: As needed

This dataset includes the names, types, statuses, and coordinates of international border crossings of Ukraine with Belarus, Hungary, Moldova, Poland, Romania, Russian Federation and Slovakia. The names of the border crossings are in English and Ukrainian.

Europe: Coronavirus (COVID-19) Subnational Cases

HDX

2900+ Downloads

Time Period of the Dataset [?]: August 02, 2021-April 18, 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

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Republic of Moldova - IFRC Appeals

International Federation of Red Cross and Red Crescent Societies (IFRC)

20+ Downloads

Time Period of the Dataset [?]: September 07, 1994-July 02, 2019 ... More

This dataset updates: Every week

This dataset is part of the data series [?]: IFRC - Appeals

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.

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Republic of Moldova - Subnational Edge-matched Administrative Boundaries

OCHA Field Information Services Section (FISS)

COD+ 100+ Downloads

Time Period of the Dataset [?]: May 13, 2022-April 18, 2024 ... More

This dataset updates: Every year

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

Republic of Moldova 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 Republic of Moldova - Subnational Population Statistics tables. Vetting and live service provision by Information Technology Outreach Services (ITOS) with funding from USAID.

Republic of Moldova - Subnational Administrative Boundaries

OCHA Field Information Services Section (FISS)

COD+ 1100+ Downloads

Time Period of the Dataset [?]: May 13, 2022-April 18, 2024 ... More

This dataset updates: Every year

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

Moldova administrative level 0-1 boundaries

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.

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Relative Wealth Index

Data for Good at Meta

21000+ Downloads

Time Period of the Dataset [?]: April 01, 2021-April 18, 2024 ... 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/

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Republic of Moldova - 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 5,101 household interviews conducted in the Republic of Moldova between May and September 2022. It is an anonymous version of the original data collected and used for the primary analysis.

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Admissions for Treatment of Severe Acute Malnutrition (SAM)

UNICEF Data and Analytics (HQ)

400+ Downloads

Time Period of the Dataset [?]: February 08, 2021-April 18, 2024 ... More

This dataset updates: Live

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

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Republic of Moldova - Education Indicators

UNESCO

300+ Downloads

Time Period of the Dataset [?]: January 01, 1970-December 31, 2019 ... More

This dataset updates: Every three months

This dataset is part of the data series [?]: UNESCO - Education Indicators

Education indicators for Republic of Moldova. 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)

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Movement Range Maps

Data for Good at Meta

54000+ Downloads

Time Period of the Dataset [?]: March 01, 2020-May 22, 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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Moldova: High Resolution Population Density Maps + Demographic Estimates

Data for Good at Meta

800+ Downloads

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

This dataset updates: As needed

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 Moldova: (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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Survey on Gender Equality At Home

Data for Good at Meta

4000+ Downloads

Time Period of the Dataset [?]: September 21, 2020-September 21, 2020 ... More

This dataset updates: As needed

This data contains aggregated weighted statistics at the regional level by gender for the 2020 Survey on Gender Equality At Home as well as the country and regional level for the 2021 wave. The Survey on Gender Equality at Home generates a global snapshot of women and men’s access to resources, their time spent on unpaid care work, and their attitudes about equality. Researchers and nonprofits interested in access to survey microdata can apply at: https://dataforgood.facebook.com/dfg/tools/survey-on-gender-equality-at-home

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