Dominican Republic: Human Development Index (0 - 1): The latest value from 2023 is 0.776 points, an increase from 0.766 points in 2022. In comparison, the world average is 0.744 points, based on data from 185 countries. Historically, the average for Dominican Republic from 1980 to 2023 is 0.679 points. The minimum value, 0.527 points, was reached in 1980 while the maximum of 0.776 points was recorded in 2023.

Results of the Civil Service Development Index (CSDI), obtained from diagnostics of the institutional quality of civil service systems in 16 Latin American countries. The IDB supported the design of a methodology that evaluates critical points to assess the civil services and carried out country evaluations in 2004. Between 2011 and 2013, a second group of diagnostics second group of diagnostics were completed (with the support of the Inter-American Development Bank, and in the case of Central American countries and Dominican Republic with the support of the Spanish Agency for International Cooperation and Development –AECID- and the Central American Integration System-SICA). Scores are available for 2004, 2011, 2012, 2013, 2015, 2017 and 2019 (year of second and/or third measurement varies per country). In 2015, 2017 and 2019, the IDB completed the third series of diagnosis. During the first assessment, 93 critical points were identified; each of those fed a subsystem and an index. In 2010 the methodology was simplified to 33 critical points and the base line was recalibrated to ensure comparability. The methodology is based in the identification of critical points that feed 8 subsystems: 1. Human Resources Planning, 2. Work Organization, 3. Employment management, 4. Performance management, 5. Compensation management, 6. Development management, 7. Human and social relations management, 8. HR Function organization; and 5 indexes: 1. Efficiency, 2. Merit, 3. Structural consistency, 4. Functional capacity, and 5. Integrating capacity.

Dominican Republic Multidimensional Poverty Headcount Ratio: UNDP: % of total population data was reported at 2.300 % in 2019. Dominican Republic Multidimensional Poverty Headcount Ratio: UNDP: % of total population data is updated yearly, averaging 2.300 % from Dec 2019 (Median) to 2019, with 1 observations. The data reached an all-time high of 2.300 % in 2019 and a record low of 2.300 % in 2019. Dominican Republic Multidimensional Poverty Headcount Ratio: UNDP: % of total population data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Dominican Republic – Table DO.World Bank.WDI: Social: Poverty and Inequality. The multidimensional poverty headcount ratio (UNDP) is the percentage of a population living in poverty according to UNDPs multidimensional poverty index. The index includes three dimensions -- health, education, and living standards.;Alkire, S., Kanagaratnam, U., and Suppa, N. (2023). ‘The global Multidimensional Poverty Index (MPI) 2023 country results and methodological note’, OPHI MPI Methodological Note 55, Oxford Poverty and Human Development Initiative (OPHI), University of Oxford. (https://ophi.org.uk/mpi-methodological-note-55-2/);;

Explore The Human Capital Report dataset for insights into Human Capital Index, Development, and World Rankings. Find data on Probability of Survival to Age 5, Expected Years of School, Harmonized Test Scores, and more.

Low income, Upper middle income, Lower middle income, High income, Human Capital Index (Lower Bound), Human Capital Index, Human Capital Index (Upper Bound), Probability of Survival to Age 5, Expected Years of School, Harmonized Test Scores, Learning-Adjusted Years of School, Fraction of Children Under 5 Not Stunted, Adult Survival Rate, Development, Human Capital, World Rankings

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Last year edition of the World Economic Forum Human Capital Report explored the factors contributing to the development of an educated, productive and healthy workforce. This year edition deepens the analysis by focusing on a number of key issues that can support better design of education policy and future workforce planning.

We identified 39 criteria for evaluating researchers and used for determine which Latin American countries employ which indicators, we built this dataset with such data as well as the most recent indicators available that are related to the number of researchers per million inhabitants (World Bank, 2020; CONCYTEC, 2019); the number of institutions ranked by Scimago in 2020 (Scimago Lab, 2020a); the percentage of the gross domestic product (GDP) invested in science and development (World Bank, 2020); bibliometric data, including the number of indexed publications, citations and the h-index (Scimago Lab, 2020b); the number of peer reviewers and reviews conducted (Publons, 2020); altmetric data (Orduna-Malea and Delgado, 2019) the Human Development Index (HDI) (UNDP, 2018); and the percentages of the population that are literate, has some schooling, and has a Bachelor's degree or equivalent (UNESCO, 2020). Not all data are available for Cuba and Dominican Republic in the cited sources, but they were still included.ReferencesCONCYTEC (2019) Perú destina US$ 31,2 millones para atraer investigadores residentes en el exterior. Available at: https://portal.concytec.gob.pe/index.php/noticias/1795-peru-destina-us-31-2-millones-para-atraer-investigadores-residentes-en-el-exterior (accessed 28 May 2020).

Publons (2020) Countries/Regions. Available at: https://publons.com/country/?order_by=top_reviewers (accessed 28 May 2020).

Scimago Lab (2020a) Scimago Institutions Ranking. Available at: https://www.scimagoir.com (accessed 28 May 2020).

Scimago Lab (2020b) Scimago Journal & Country Rank. Available at: https://www.scimagojr.com (accessed 28 May 2020).

The World Bank (2020) World Bank Open Data. Available at: https://data.worldbank.org (accessed 28 May 2020).

UNDP (2018) Human Development Index (HDI). Available at: http://hdr.undp.org/en/indicators/137506 (accessed 28 May 2020).

UNESCO (2020) UNESCO Institute for Statistics. Available at: http://data.uis.unesco.org (accessed 28 May 2020).

Based on the degree of inequality in income distribution measured by the Gini coefficient, Colombia was the most unequal country in Latin America as of 2022. Colombia's Gini coefficient amounted to 54.8. The Dominican Republic recorded the lowest Gini coefficient at 37, even below Uruguay and Chile, which are some of the countries with the highest human development indexes in Latin America. The Gini coefficient explained The Gini coefficient measures the deviation of the distribution of income among individuals or households in a given country from a perfectly equal distribution. A value of 0 represents absolute equality, whereas 100 would be the highest possible degree of inequality. This measurement reflects the degree of wealth inequality at a certain moment in time, though it may fail to capture how average levels of income improve or worsen over time. What affects the Gini coefficient in Latin America? Latin America, as other developing regions in the world, generally records high rates of inequality, with a Gini coefficient ranging between 37 and 55 points according to the latest available data from the reporting period 2010-2023. According to the Human Development Report, wealth redistribution by means of tax transfers improves Latin America's Gini coefficient to a lesser degree than it does in advanced economies. Wider access to education and health services, on the other hand, have been proven to have a greater direct effect in improving Gini coefficient measurements in the region.