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1,855

WorldNorth America

Dominican Republic

15 provinces · 40 cities · 32 other

Standard codes
ISO α2DO
ISO α3DOM
ISO num214
UN M.49214
GeoNames3508796
10,627,165population19.0000, -70.6667America/Santo_Domingo(GMT-4)Independent political entity

Distrito Nacional (Santo Domingo), Elias Pina, Samana, San Juan (Dominican Republic), Santo Domingo (city), Santiago, Enriquillo, Neiba, Duarte Province

Description

Alternative names

Afrikaans
Dominikaanse Republiek
Akan
Dɔmeneka Kurokɛse
Albanian
Dominikanische Republik
Albanian
Republika Dominikane, Republika Dominikanë

Subregions

Distrito Nacional (Santo Domingo)

Distrito Nacional (Santo Domingo)

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Elias Pina

Elias Pina

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Samana

Samana

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Distrito Nacional (Santo Domingo)

Distrito Nacional (Santo Domingo)

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Elias Pina

Elias Pina

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Samana

Samana

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San Juan (Dominican Republic)

San Juan (Dominican Republic)

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Santo Domingo (city)

Santo Domingo (city)

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Santiago

Santiago

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Enriquillo

Enriquillo

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Neiba

Neiba

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Duarte Province

Duarte Province

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Espaillat Province

Espaillat Province

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Independencia

Independencia

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Elías Piña

Elías Piña

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La Romana

La Romana

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María Trinidad Sánchez

María Trinidad Sánchez

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Pedernales Province

Pedernales Province

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Puerto Plata

Puerto Plata

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Sánchez Ramírez

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San Pedro de Macorís

San Pedro de Macorís

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Santiago Province

Santiago Province

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Hato Mayor Province

Hato Mayor Province

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Monte Plata Province

Monte Plata Province

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San José de Ocoa

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Valdesia

Valdesia

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Villa Bisonó

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Villa Altagracia

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San Francisco de Macorís

San Francisco de Macorís

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Salvaleón de Higüey

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Quisqueya

Quisqueya

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Monte Llano

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Moca

Moca

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Jarabacoa

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Dajabón

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Cotuí

Cotuí

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Constanza

Constanza

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Ciudad Nueva

Ciudad Nueva

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Bajos de Haina

Bajos de Haina

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Santo Domingo Este

Santo Domingo Este

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Cibao Nordeste

Cibao Nordeste

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Cibao Noroeste

Cibao Noroeste

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Yuma

Yuma

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San José de Ocoa

San José de Ocoa

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Las Matas de Farfán

Las Matas de Farfán

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Esperanza

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Bayaguana

Bayaguana

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Azua Province

Azua Province

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Baoruco Province

Baoruco Province

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Barahona Province

Barahona Province

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Dajabón

Dajabón

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La Altagracia Province

La Altagracia Province

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Monte Cristi Province

Monte Cristi Province

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Hermanas Mirabal

Hermanas Mirabal

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Samaná

Samaná

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San Juan Province

San Juan Province

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Santiago Rodríguez

Santiago Rodríguez

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Valverde Province

Valverde Province

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El Seíbo

El Seíbo

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La Vega

La Vega

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Monseñor Nouel

Monseñor Nouel

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San Cristóbal

San Cristóbal

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Nacional

Nacional

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Peravia

Peravia

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Santo Domingo Province

Santo Domingo Province

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Cibao Norte

Cibao Norte

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El Valle

El Valle

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Higuamo

Higuamo

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Villa Consuelo

Villa Consuelo

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Tamboril

Tamboril

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Santiago de los Caballeros

Santiago de los Caballeros

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San Juan de la Maguana

San Juan de la Maguana

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San Ignacio de Sabaneta

San Ignacio de Sabaneta

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Sabana Grande de Boyá

Sabana Grande de Boyá

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Punta Cana

Punta Cana

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Bonao

Bonao

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San Cristóbal

San Cristóbal

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Cibao Sur

Cibao Sur

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Ozama

Ozama

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Villa Francisca

Villa Francisca

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San Pedro de Macorís

San Pedro de Macorís

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Salcedo

Salcedo

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Río Grande

Río Grande

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Nagua

Nagua

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Mao

Mao

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Cristo Rey

Cristo Rey

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Baní

Baní

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Santo Domingo Oeste

Santo Domingo Oeste

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Data in VoxDash
    voxdash dataset logo
    Data project
    Data owner:

    OCED

    Geographies: Ecuador, Guatemala, Honduras·Topic: Students
    PISA for Development (Student questionnaire data )

    The PISA for Development programme aims to encourage and facilitate PISA participation by interested and motivated low- and middle-income countries. From this page you can download the PISA for Development dataset with the full set of responses from: In-school assessment: individual students, school principals and teachers Out-of-school assessment: individual respondents, parents/guardians of respondents and interviewer household observations These files will be of use to statisticians and professional researchers who would like to undertake their own analysis of the PISA for Development data. The files available on this page include questionnaires, codebooks, data files in SAS™ and SPSS™ formats, database compendia and tables including system-level data and descriptive analyses that were created to support the reporting of PISA for Development results by participating countries. The main data files for each assessment relate to: In-school assessment: student questionnaire (which also includes estimates of student performance), school questionnaire, teacher questionnaire and cognitive items Out-of-school assessment: respondent questionnaires (including youth, parent/guardian and household observation questionnaires, as well as estimates of respondent performance), cognitive items and questionnaire timing These files include data for participating countries: In-school assessment: Cambodia, Ecuador, Guatemala, Honduras, Paraguay, Senegal and Zambia Out-of-school assessment: Guatemala, Honduras, Panama, Paraguay and Senegal

    voxdash dataset logo
    Data project
    Data owner:

    OCED

    Geographies: Ecuador, Guatemala, Honduras·Topic: Students
    PISA for Development (Teacher questionnaire data )

    The PISA for Development programme aims to encourage and facilitate PISA participation by interested and motivated low- and middle-income countries. From this page you can download the PISA for Development dataset with the full set of responses from: In-school assessment: individual students, school principals and teachers Out-of-school assessment: individual respondents, parents/guardians of respondents and interviewer household observations These files will be of use to statisticians and professional researchers who would like to undertake their own analysis of the PISA for Development data. The files available on this page include questionnaires, codebooks, data files in SAS™ and SPSS™ formats, database compendia and tables including system-level data and descriptive analyses that were created to support the reporting of PISA for Development results by participating countries. The main data files for each assessment relate to: In-school assessment: student questionnaire (which also includes estimates of student performance), school questionnaire, teacher questionnaire and cognitive items Out-of-school assessment: respondent questionnaires (including youth, parent/guardian and household observation questionnaires, as well as estimates of respondent performance), cognitive items and questionnaire timing These files include data for participating countries: In-school assessment: Cambodia, Ecuador, Guatemala, Honduras, Paraguay, Senegal and Zambia Out-of-school assessment: Guatemala, Honduras, Panama, Paraguay and Senegal

    voxdash dataset logo
    Data project
    Data owner:

    OCED

    Geographies: Ecuador, Guatemala, Honduras·Topic: Students
    PISA for Development (School questionnaire data )

    The PISA for Development programme aims to encourage and facilitate PISA participation by interested and motivated low- and middle-income countries. From this page you can download the PISA for Development dataset with the full set of responses from: In-school assessment: individual students, school principals and teachers Out-of-school assessment: individual respondents, parents/guardians of respondents and interviewer household observations These files will be of use to statisticians and professional researchers who would like to undertake their own analysis of the PISA for Development data. The files available on this page include questionnaires, codebooks, data files in SAS™ and SPSS™ formats, database compendia and tables including system-level data and descriptive analyses that were created to support the reporting of PISA for Development results by participating countries. The main data files for each assessment relate to: In-school assessment: student questionnaire (which also includes estimates of student performance), school questionnaire, teacher questionnaire and cognitive items Out-of-school assessment: respondent questionnaires (including youth, parent/guardian and household observation questionnaires, as well as estimates of respondent performance), cognitive items and questionnaire timing These files include data for participating countries: In-school assessment: Cambodia, Ecuador, Guatemala, Honduras, Paraguay, Senegal and Zambia Out-of-school assessment: Guatemala, Honduras, Panama, Paraguay and Senegal

    voxdash dataset logo
    Data project
    Data owner:

    Environics Research

    Geographies: Argentina, Brazil, Canada·Topic: Data license - Creative Commons Attribution-Noncommercial 4.0 International (CC BY-NC)
    Environics Corporate Social Responsibility Monitor, 2002

    Environics Corporate Social Responsibility Monitor 2002 is a survey of global public opinion on the role of companies in society. This survey is based on the the results of face-to-face or telephone surveys with representative samples of about 1,000 citizens in each of 25 countries on six continents at varying stages of development. Research was carried out by respected social research institutes in each country between October and December 2001.

    voxdash dataset logo
    Data project
    Data owner:

    Environics Research

    Geographies: Argentina, Brazil, Canada·Topic: Social Sciences
    Environics Millennium Poll on Corporate Social Responsibility, 1999

    The Millennium Poll on Corporate Social Responsibility 1999 is a survey of global public opinion on the role of companies in society. This survey is based on the the results of face-to-face or telephone surveys with representative samples of about 1,000 citizens in each of 23 countries on six continents at varying stages of development.

    voxdash dataset logo
    Data project
    Data owner:

    Environics Research

    Geographies: Argentina, Brazil, Canada·Topic: Social Sciences
    Environics Global Issues Monitor, 2002

    Environics Corporate Social Responsibility Monitor 2002 is a survey of global public opinion on the role of companies in society. This survey is based on the the results of face-to-face or telephone surveys with representative samples of about 1,000 citizens in each of 25 countries on six continents at varying stages of development. The survey was fielded after September 11 in each country. Media focus on the Enron Corp. did not begin until the survey was completed in the USA.

    voxdash dataset logo
    Data project
    Data owner:

    OCED

    Geographies: Ecuador, Guatemala, Honduras·Topic: Students
    PISA for Development (Cognitive item data)

    The PISA (Programme for International Student Assessment) for Development programme aims to encourage and facilitate PISA participation by interested and motivated low- and middle-income countries. From this page you can download the PISA for Development dataset with the full set of responses from: In-school assessment: individual students, school principals and teachers Out-of-school assessment: individual respondents, parents/guardians of respondents and interviewer household observations These files will be of use to statisticians and professional researchers who would like to undertake their own analysis of the PISA for Development data. The files available on this page include questionnaires, codebooks, data files in SAS™ and SPSS™ formats, database compendia and tables including system-level data and descriptive analyses that were created to support the reporting of PISA for Development results by participating countries. The main data files for each assessment relate to: In-school assessment: student questionnaire (which also includes estimates of student performance), school questionnaire, teacher questionnaire and cognitive items Out-of-school assessment: respondent questionnaires (including youth, parent/guardian and household observation questionnaires, as well as estimates of respondent performance), cognitive items and questionnaire timing These files include data for participating countries: In-school assessment: Cambodia, Ecuador, Guatemala, Honduras, Paraguay, Senegal and Zambia Out-of-school assessment: Guatemala, Honduras, Panama, Paraguay and Senegal

    voxdash dataset logo
    Data project
    Data owner:

    University of Tennessee, Knoxville

    Geographies: United States·Topic: Institutional capabilities - Data
    Changes in data sharing and data reuse practices and perceptions among scientists worldwide

    The incorporation of data sharing into the research lifecycle is an important part of modern scholarly debate. In this study, the DataONE Usability and Assessment working group addresses two primary goals: To examine the current state of data sharing and reuse perceptions and practices among research scientists as they compare to the 2009/2010 baseline study, and to examine differences in practices and perceptions across age groups, geographic regions, and subject disciplines. We distributed surveys to a multinational sample of scientific researchers at two different time periods (October 2009 to July 2010 and October 2013 to March 2014) to observe current states of data sharing and to see what, if any, changes have occurred in the past 3–4 years. We also looked at differences across age, geographic, and discipline-based groups as they currently exist in the 2013/2014 survey. Results point to increased acceptance of and willingness to engage in data sharing, as well as an increase in actual data sharing behaviors. However, there is also increased perceived risk associated with data sharing, and specific barriers to data sharing persist. There are also differences across age groups, with younger respondents feeling more favorably toward data sharing and reuse, yet making less of their data available than older respondents. Geographic differences exist as well, which can in part be understood in terms of collectivist and individualist cultural differences. An examination of subject disciplines shows that the constraints and enablers of data sharing and reuse manifest differently across disciplines. Implications of these findings include the continued need to build infrastructure that promotes data sharing while recognizing the needs of different research communities. Moving into the future, organizations such as DataONE will continue to assess, monitor, educate, and provide the infrastructure necessary to support such complex grand science challenges.

    voxdash dataset logo
    Data project
    Data owner:

    Data Statistic (Mock)

    Geographies: Canada·Topic: Animal Research Data
    Stratos Geospatial Insights Lab (Mock)

    this is a test. Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat. Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur. Excepteur sint occaecat cupidatat non proident, sunt in culpa qui officia deserunt mollit anim id est laborum.Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat. Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur. Excepteur sint occaecat cupidatat non proident, sunt in culpa qui officia deserunt mollit anim id est laborum.Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore et dolore magna aliqua. Ut enim ad minim veniam, quis nostrud exercitation ullamco laboris nisi ut aliquip ex ea commodo consequat. Duis aute irure dolor in reprehenderit in voluptate velit esse cillum dolore eu fugiat nulla pariatur. Excepteur sint occaecat cupidatat non proident, sunt in culpa qui officia deserunt mollit anim id est laborum.

    voxdash dataset logo
    Data project
    Data owner:

    World Value Survey

    Geographies: World·Topic: Social Sciences
    World Values Survey wave 6 - 2015

    The World Values Survey (www.worldvaluessurvey.org) is a global network of social scientists studying changing values and their impact on social and political life, led by an international team of scholars, with the WVS association and secretariat headquartered in Stockholm, Sweden. The survey, which started in 1981, seeks to use the most rigorous, high-quality research designs in each country. The WVS consists of nationally representative surveys conducted in almost 100 countries which contain almost 90 percent of the world’s population, using a common questionnaire. The WVS is the largest non-commercial, cross-national, time series investigation of human beliefs and values ever executed, currently including interviews with almost 400,000 respondents. Moreover the WVS is the only academic study covering the full range of global variations, from very poor to very rich countries, in all of the world’s major cultural zones. The WVS seeks to help scientists and policy makers understand changes in the beliefs, values and motivations of people throughout the world. Thousands of political scientists, sociologists, social psychologists, anthropologists and economists have used these data to analyze such topics as economic development, democratization, religion, gender equality, social capital, and subjective well-being. These data have also been widely used by government officials, journalists and students, and groups at the World Bank have analyzed the linkages between cultural factors and economic development.

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