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.

Dataset related to the publication "Transformacao Digital dos Governos Brasileiros Satisfacao dos Cidados com os Serviços Públicos Digitais". The document summarizes the results of a new citizen satisfaction survey on digital public services in Brazil. It shows that the Brazilian population is connected and considers itself well adapted to the digital world, even with foreseeable inequalities of age, level of formal education and income. It aimed to collect information about the adaptation of citizens to the digital world, their level of perceived connectivity and internet use and their assessment of the quality of digital services in the public sector (focusing on the state level, but also with questions about the federal and municipal levels) and the private sector, among other topics.

Data associated with the IDB Publication "Grandmothers and the Gender Gap in the Mexican Labor Market".

The ENOE is the largest household survey conducted in Mexico, and it is superior to administrative data in this context because it includes both the formal and informal sectors of the economy. Its data collection occurs quarterly in a rotating panel format with five observations per household. The ENOE data in this paper spans Q1 of 2005 to Q1 of 2020, a total of 61 surveys (one per quarter). Each survey visits approximately 120,000 households. The survey's demographics section includes information on every member of the household, such as their relationship to the head of household, gender, education, marital status, reason for not living in the household anymore (after the first survey), access to health care, employment, income, and hours worked.

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

At the IDBG Annual Meeting in 2016, the Board of Governors resolved to endorse the goal of increasing the financing of climate change related projects in LAC to 30% of the IDB’s and IIC’s combined total approvals operations by 2020, subject to demand from borrowing countries and clients and access to external sources of concessional financing.

During 2016, the IDB Group invested approximately US$2.7 billion in climate finance; that is, in development activities carried out by the public and private sectors that reduce greenhouse gas (GHG) emissions and thus mitigate climate change, and/or that reduce vulnerability to climate change and contribute to an adaptation process. This amount represented 22% of the IDB Group’s total approvals.
Please note that only data from IDB and IDB Lab are available in this dataset.

Data associated with the IDB Publication "Grandmothers and the Gender Gap in the Mexican Labor Market".

ENESS data is available for 2009, 2013, and 2017. As an accompanying module of the ENOE, it covers all the households covered by the ENOE for two out of the three months in the quarter. Hence, the ENESS covers roughly two-thirds of the ENOE sample for the quarter. The ENESS data includes responses from 209,266 households. These households use public and private daycare providers for 3,991 and 1,177 children under seven years old

The "Database of suburban railways in Latin America" collects 56 indicators and benchmarks of suburban passenger railways, contained in 11 major themes. This information allows, on the one hand, to understand the dimension and characteristics of the level of activity of each of them, and on the other, through benchmarks, to know the operational-financial efficiency of their performance when compared with their peer railways.

This dataset provides a list of all the indicator categories generated by the social sector of the Inter-American Development Bank. The full dataset can be found at: https://mydata.iadb.org/Social-Protection/Social-Indicators-of-Latin-America-and-the-Caribbe/q8e9-eb82

En 2012 el BID aprobó un proyecto para apoyar la preparación de un sistema integral de transporte colectivo para la zona metropolitana de La Paz y El Alto. El proyecto comprendió estudios técnicos, legales, económicos, sociales y ambientales. Un componente fue una encuesta de movilidad urbana que constituye la fuente principal de datos para el presente análisis. Dentro de este marco reunimos información sobre los patrones de viaje y características socioeconómicas de los residentes, en junio y julio de 2015. Para obtener datos comparables y determinar los viajes más comunes, tales como de la casa al lugar de trabajo o la escuela y de regreso, recogimos datos de las 6 p.m. a las 9 p.m. en días laborables y fines de semana. La muestra fue recogida a nivel sub-distrital (manzanos) para cubrir los distritos de La Paz y El Alto, siguiendo un proceso de selección aleatorio (ver Anexo 2 para más detalles). Un total de 6,720 habitantes de La Paz (4,208) y El Alto (2,512) fueron entrevistados de entre un total de 6,208 hogares (3,892 y 2,316 en La Paz y El Alto respectivamente). Se encuestó a los participantes sobre los dos últimos viajes que habían hecho antes de la fecha de la entrevista

The OLAS LAPOP 2021 dataset provides information on water and sanitation access for 18 countries across Latin America and the Caribbean. The dataset uses microdata from the 2021 wave of the AmericasBarometer project from Vanderbilt’s Latin America Public Opinion Project (AB-LAPOP).
The AB-LAPOP is a comparative survey that aims to create a temporal data set for the western hemisphere that includes a broad range of topics, produced by a standardized method and the use of a common core questionnaire which permit valid comparisons across countries and over time on topics. Technical information on the sampling methods and survey design can be access for each country surveyed on the LAPOP website. The OLAS LAPOP 2021 dataset focuses on water and sanitation access information, covering topics like type of water source used by households for different purposes, continuity of access, type of sanitation facility and whether households have exclusive access.

These data were supplied by the Latin American Public Opinion Project at Vanderbilt University, which takes no responsibility for any interpretation of the data.

Source: The AmericasBarometer by the LAPOP Lab, www.vanderbilt.edu/lapop .