The Database of Labor Markets and Social Security Information System (SIMS) is the most important source of information about jobs and pensions in Latin America and the Caribbean. It encompasses harmonized statistics of 25 countries in the region, assuring the comparability of the indicators among them and also over time. The dataset includes data since 1990 and it presents 72 main indicators, which can be broken down by age group, gender, zone, level of education and other. The SIMS contains information in 6 broad categories: population, employment, unemployment, income, social security and poverty. This database seeks to contribute to public policies design based on evidence to strengthen the development of the region. Also, visit the SIMS Website: https://www.iadb.org/es/sectores/inversion-social/sims/inicio

The Latin Macro Watch (LMW) is a macroeconomic and financial database that offers indicators on economic activity, fiscal and external accounts, financial markets, and forecasts. Historical data at monthly, quarterly, and annual frequencies will be available starting in 1990 and cover the 26 borrowing members of the Inter-American Development Bank. The database is currently undergoing a revision and enhancement process.

Social Indicator is a diverse dataset of indicators designed to capture social conditions in Latin America and the Caribbean. The indicators are derived from national household survey data, Censuses, and other sources covering 21 countries from 1990 to date. While the Sociómetro includes traditional global indicators, the database also includes tailor-made indicators in five areas: Demographics, Education, Labor Market, Housing, and Income, to better capture conditions in LAC.

Moreover, unlike traditional aggregate indicators, the Sociómetro indicators are disaggregated by ethnicity and race (when available) and by gender, geographic residence, education, and income quintile.

The management and implementation of the Sociómetro are provided by the Social Sector (SCL) of the Vice Presidency of Knowledge and Sectors to strengthen the analytical content of projects and studies. The indicators are not intended to serve as official data for any particular country but instead aim to provide a comparable set of social indicators for the Latin American region.

From the Institute for the Integration of Latin America and the Caribbean (INTAL) of the Integration and Trade sector (INT) of the Inter-American Development Bank (IDB), the fourth edition of the survey was carried out on firms in Latin America and the Caribbean (LAC). ). ) that export both within the region and extra-regionally. The objective of the study, on this occasion, is to have evidence about the evolution of the export dynamics of companies in the region in terms of the international inflation experienced recently, the support measures received from their governments, the strategies . of firms to promote their internationalization; its relationship with electronic commerce as a foreign sales channel, intra-firm gender composition and the possibility of incorporating good environmental practices (or environmental sustainability practices) in its production processes.

This study seeks to draw attention to the families of people who are detained in the local Mexican prison system. The results of this study are divided into two parts: the first part shows the socio-demographic characteristics of those who visit the Centers for Social Rehabilitation including information about their education, work, and economic status, among others. The second part provides quantitative information on the economic, social and health costs that are imposed by a criminal model that fails to recognize its existence, and by a prison system that frequently fails to comply with the obligation to pay the expenses of those that have been put in seclusion.

Click here to access the data: https://mydata.iadb.org/d/bttx-z673/

This database includes the technical efficiency scores derived from a stochastic frontier model for 63 container ports in Latin America and the Caribbean.

This dataset contains information on 404 Centros infantiles del Buen Vivir (CIBVs), Ecuador's primary providers of public child care services for infant and toddlers at the time of data collection in 2012. In 2012, The Inter-American Development Bank administered a battery of widely-used instruments to measure the quality of child care services in the CIBVs, including four internationally-recognized quality instruments that were then adapted for use in Ecuador.

This dataset contains information on Programa Nacional Cuna Más (Cuna Mas, hereinafter), Peru’s largest early childhood development program established in 2012. It focuses on one of the two services provided by Cuna Mas known as Servicio de Acompanamiento a Familias (SAF), a home visiting program that operates in rural areas and provides one-hour weekly home visits to children aged 0-36 months and their caregiver.

The objective of the study was to compare different instruments to measure the quality of home visiting programs. Between August and October 2015, three instruments were administered to a sample of 554 children enrolled in Cuna Mas and receiving home visits at the time of data collection, and on their 176 home visitors who regularly work with 80 supervisors.

The following quality instruments were administered:
• Home Visit Rating Scale, version A+2 (HOVRS; Roggman et al. 2010)
• Home Visit Content and Characteristics Form (HVCCF; Boller et al. 2009)
• A supervisor checklist

The first two quality instruments are widely used among home visiting services in the United States. For each child in the sample, one home visit was filmed and the videos were later coded to create the scores, following the instruments’ manuals. The checklist, on the other hand, was designed based on record forms used by Cuna Mas and other home visiting programs in low- and middle- income countries, and was administered live during the visit by the home visitor’s supervisor.

The final, multilevel dataset includes:
• 554 visits with an identical number of distinct children
• 176 home visitors
• 80 supervisors •

Methodology available at: https://idbg.sharepoint.com/teams/EZ-RG-ESW/RG-K1423/25%20Results%20Management/Publicaciones%20-%20Base%20de%20Datos/measuring-quality-and-characterizing-cuna-mas-home-visits.pdf

This dataset contains information on Programa Nacional Cuna Más (Cuna Mas, hereinafter), Peru’s largest early childhood development program established in 2012. It focuses on one of the two services provided by Cuna Mas known as Servicio de Acompañamiento a Familias (SAF), a home visiting program that operates in rural areas and provides one-hour weekly home visits to children aged 0-36 months and their caregiver.

La segunda ronda de la Encuesta BID/Cornell Coronavirus hace un seguimiento a la encuesta BID/Cornell Coronavirus de la primera ronda en donde se recolectó información relacionada a los impactos de la pandemia del Covid-19 en los mercados laborales, seguridad alimentaria, distanciamiento social, y conocimiento acerca de los síntomas y formas de contagio del Coronavirus. El objetivo principal de la segunda ronda fue hacer un seguimiento a los hogares partícipes de la primera ronda, recolectando información más detallada de ingresos y activos de los hogares, así como también datos de beneficiarios de programas sociales existentes antes de la pandemia, inclusión financiera, preferencias políticas y comportamientos relacionados con el Covid-19 en general. El procedimiento de recolección de datos de la segunda ronda, así como su divulgación, se llevaron a cabo de la misma forma que para el caso de la primera ronda. Los datos de las dos rondas de la encuesta se unieron para crear un panel de datos a nivel de hogar. Al realizar un ejercicio de correlación entre participación en la segunda ronda y características demográficas, encontramos que ser mujer aumentó la probabilidad de participar en la segunda ronda de la encuesta. Así mismo, personas con un nivel de educación más alto y con mayores ingresos fueron más propensas a participar en la segunda ronda. Acorde con estos resultados, encontramos también una correlación positiva entre tener 40 años en adelante y participar en la encuesta de seguimiento. Los datos del panel de datos son útiles para analizar efectos de la pandemia en situaciones y preferencias más detalladas de los hogares dentro de un país y entre países. Se incluyen ponderadores que corrigen diferencias en el tamaño de la muestra entre países y proveen una mayor ponderación a las observaciones de países con mayor población.