Full dataset of the RMRP 2024 Update, including activities, partners, population projections, people in need, and target estimates disaggregated by age and gender, population type at Admin 1 level.
More info on the R4V website: https://www.r4v.info/en/data
The aim of the Human Development Report is to stimulate global, regional and national policy-relevant discussions on issues pertinent to human development. Accordingly, the data in the Report require the highest standards of data quality, consistency, international comparability and transparency. The Human Development Report Office (HDRO) fully subscribes to the Principles governing international statistical activities.
The HDI was created to emphasize that people and their capabilities should be the ultimate criteria for assessing the development of a country, not economic growth alone. The HDI can also be used to question national policy choices, asking how two countries with the same level of GNI per capita can end up with different human development outcomes. These contrasts can stimulate debate about government policy priorities.
The Human Development Index (HDI) is a summary measure of average achievement in key dimensions of human development: a long and healthy life, being knowledgeable and have a decent standard of living. The HDI is the geometric mean of normalized indices for each of the three dimensions.
The 2019 Global Multidimensional Poverty Index (MPI) data shed light on the number of people experiencing poverty at regional, national and subnational levels, and reveal inequalities across countries and among the poor themselves.Jointly developed by the United Nations Development Programme (UNDP) and the Oxford Poverty and Human Development Initiative (OPHI) at the University of Oxford, the 2019 global MPI offers data for 101 countries, covering 76 percent of the global population.
The MPI provides a comprehensive and in-depth picture of global poverty – in all its dimensions – and monitors progress towards Sustainable Development Goal (SDG) 1 – to end poverty in all its forms. It also provides policymakers with the data to respond to the call of Target 1.2, which is to ‘reduce at least by half the proportion of men, women, and children of all ages living in poverty in all its dimensions according to national definition'.
Dominican Republic administrative level 0-2 projected 2023 sex and age disaggregated population statistics
REFERENCE YEAR: 2023
These tables are suitable for database or GIS linkage to the Dominican Republic - Subnational Administrative Boundaries or Dominican Republic - Subnational Edge-matched Administrative Boundaries layers using the ADM0, ADM1, and ADM2_PCODE fields.
Contains data from the DHS data portal. There is also a dataset containing Dominican Republic - National Demographic and Health Data on HDX.
The DHS Program Application Programming Interface (API) provides software developers access to aggregated indicator data from The Demographic and Health Surveys (DHS) Program. The API can be used to create various applications to help analyze, visualize, explore and disseminate data on population, health, HIV, and nutrition from more than 90 countries.
Contains data from the DHS data portal. There is also a dataset containing Dominican Republic - Subnational Demographic and Health Data on HDX.
The DHS Program Application Programming Interface (API) provides software developers access to aggregated indicator data from The Demographic and Health Surveys (DHS) Program. The API can be used to create various applications to help analyze, visualize, explore and disseminate data on population, health, HIV, and nutrition from more than 90 countries.
Dominican Republic administrative level 0-4 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 Dominican Republic - Subnational Population Statistics administrative level 0-2 tables using the ADM0, ADM1, and ADM2_PCODE fields.
Vetting and live service provision by Information Technology Outreach Services (ITOS) with funding from USAID.
The IPC Acute Food Insecurity (IPC AFI) classification provides strategically relevant information to decision makers that focuses on short-term objectives to prevent, mitigate or decrease severe food insecurity that threatens lives or livelihoods. This data has been produced by the National IPC Technical Working Groups for IPC population estimates since 2017. All national population figures are based on official country population estimates. IPC estimates are those published in country IPC reports.
There is also a global dataset.
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.
70+ Downloads
This dataset updates: Every week
This dataset is part of the data series [?]: IFRC - Appeals
UNOSAT code: FL20231120DOM, GDACS ID: 1102342 This map illustrates cumulative satellite-detected water extent in Valdesia Regions, Dominican Republic as observed from a Sentinel-2 image acquired on the 21 November 2023 at 11:17 local time. Within the cloud free analysed area of about 320 km² , less than 5 km² of land appears to be affected with flood waters and 2,500 people are potentially exposed to flood waters.
This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to the United Nations Satellite Centre (UNOSAT).
UNOSAT code: FL20231120DOM, GDACS ID: 1102342 This map illustrates cumulative satellite-detected water extent in Higuamo & Valdesia Regions, Dominican Republic as observed from a Sentinel-2 image acquired on the 21 November 2023 at 11:17 local time. Within the cloud free analysed area of about 1,800 km² , about 35 km² of land appears to be affected with flood waters and 14,000 people are potentially exposed to flood waters.
This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to the United Nations Satellite Centre (UNOSAT).
UNOSAT code: FL20231120DOM, GDACS ID: 1102342 This map illustrates cumulative satellite-detected water extent in Cibao Nordeste Region, Dominican Republic as observed from a Sentinel-2 image acquired on the 21 November 2023 at 11:17 local time. Within the cloud free analysed area of about 920 km² , about 190 km² of land appears to be affected with flood waters and 13,000 people are potentially exposed to flood waters.
This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to the United Nations Satellite Centre (UNOSAT).
UNOSAT code: FL20231120DOM, GDACS ID: 1102342 This application provides geospatial information about the ongoing floods in Dominican Republic
Important note: The boundaries and names shown and the designations used on this map do not imply official endorsement or acceptance by the United Nations
UNOSAT code: FL20231120DOM, GDACS ID: 1102342 This map illustrates cumulative satellite-detected water extent in CIbao Nordeste and Cibao Sur Regions, Dominican Republic as observed from a Sentinel-1 image acquired on the 18 November 2023 at 18:53 local time. Within the extent of this map, about 55 km² of land appears to be affected with flood waters and about 10,500 people are potentially exposed to flood waters
This is a preliminary analysis and has not yet been validated in the field. Please send ground feedback to the United Nations Satellite Centre (UNOSAT).
Important note: Flood analysis from radar images may underestimate the presence of standing waters in built-up areas and densely vegetated areas due to backscattering properties of the radar signal.
Dominican Republic 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.
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.
The Regional Inter-Agency Coordination Platform for Refugees and Migrants from Venezuela (R4V) issued the Refugee and Migrant Needs Analysis (RMNA) for 2023 to provide insights into the situation and varied challenges that refugees and migrants – both in-destination and in-transit – as well as their affected host communities face. The RMNA draws upon an extensive range of sources, with special emphasis on the inter-agency joint needs assessments (JNA) conducted by R4V partners in various countries.
This table contains subnational multidimensional poverty trends 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).
Dominican Republic 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
Full dataset of the RMRP 2023-24, including activities, partners, population projections, people in need, and target estimates disaggregated by age and gender, population type at Admin 1 level.
More info on the R4V website: https://www.r4v.info/en/data
Dominican Republic boundary files.
Vetting and live service provision by Information Technology Outreach Services (ITOS) with funding from USAID.
Información de la división territorial 2010 por regiones, provincias, municipios, distrito municipales, para la georreferenciación de base de datos y localización de comunidades.
Contienen los elementos geográficos, y los atributos asociados a ellos de manera independiente. Éstos pueden ser visualizados, editados o convertidos a otros formatos.
These boundaries are suitable for database or GIS linkage to the Dominican Republic - Subnational Population Statistics tables.
21 January 2020
P-codes incorporated from COD-PS. Gazetteer, EMF files, loaded. Line file loaded.
3 September 2019
Title corrected; license clarified
7 September 2017
Gazetteer to be uploaded
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 IPC Acute Food Insecurity (IPC AFI) classification provides strategically relevant information to decision makers that focuses on short-term objectives to prevent, mitigate or decrease severe food insecurity that threatens lives or livelihoods. This data has been produced by the National IPC Technical Working Groups for IPC population estimates since 2017. All national population figures are based on official country population estimates. IPC estimates are those published in country IPC reports.
