AgriLAC’s Guatemala Baseline datasets: Farmer and village level surveys
This dataset compiles socioeconomic, productive, and community-level information from basic grain producers in the eastern and western regions of Guatemala. It is used to characterize their initial conditions, identify productive and social patterns, and enable territorial comparisons, generating ev...
| Main Authors: | , , , |
|---|---|
| Format: | Conjunto de datos |
| Language: | Inglés Español |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://hdl.handle.net/10568/179856 |
| _version_ | 1855530756108976128 |
|---|---|
| author | Reyes Padilla, Byron Alejandro Lopera Villamarin, Diana Carolina Quintero Cano, Diana Katherine Ordoñez Dueñas, Juan Camilo |
| author_browse | Lopera Villamarin, Diana Carolina Ordoñez Dueñas, Juan Camilo Quintero Cano, Diana Katherine Reyes Padilla, Byron Alejandro |
| author_facet | Reyes Padilla, Byron Alejandro Lopera Villamarin, Diana Carolina Quintero Cano, Diana Katherine Ordoñez Dueñas, Juan Camilo |
| author_sort | Reyes Padilla, Byron Alejandro |
| collection | Repository of Agricultural Research Outputs (CGSpace) |
| description | This dataset compiles socioeconomic, productive, and community-level information from basic grain producers in the eastern and western regions of Guatemala. It is used to characterize their initial conditions, identify productive and social patterns, and enable territorial comparisons, generating evidence to inform interventions aimed at strengthening the sustainability of basic grain systems. The data correspond to the baseline of an impact evaluation designed under a Difference-in-Differences (DiD) approach, which will allow the analysis of changes over time between treatment and control groups. This baseline, collected in 2023 with reference to the 2022 agricultural cycle, serves as the starting point for measuring the effects of the intervention in future follow-up rounds (2026–2027 and 2029–2030).
Methodology:The data were collected using a multistage sampling design within an impact evaluation framework based on a Difference-in-Differences (DiD) approach. First, treatment communities were identified through consultations with AgriLAC partners to map areas of operational influence, while control communities were selected within the same municipalities but sufficiently distant to avoid spillover effects. A total of 65 communities (35 treatment and 30 control) were selected. In the second stage, households within each community were chosen through simple random sampling, selecting approximately 16 households in treatment areas and 15 in control areas. Baseline data were collected in 2023, referencing the 2022 agricultural cycle, and will serve as the starting point for longitudinal comparisons in later survey rounds. (2025-12) |
| format | Conjunto de datos |
| id | CGSpace179856 |
| institution | CGIAR Consortium |
| language | Inglés Español |
| publishDate | 2025 |
| publishDateRange | 2025 |
| publishDateSort | 2025 |
| record_format | dspace |
| spelling | CGSpace1798562026-01-14T21:24:34Z AgriLAC’s Guatemala Baseline datasets: Farmer and village level surveys Reyes Padilla, Byron Alejandro Lopera Villamarin, Diana Carolina Quintero Cano, Diana Katherine Ordoñez Dueñas, Juan Camilo beans farmers guatemala agrifood systems This dataset compiles socioeconomic, productive, and community-level information from basic grain producers in the eastern and western regions of Guatemala. It is used to characterize their initial conditions, identify productive and social patterns, and enable territorial comparisons, generating evidence to inform interventions aimed at strengthening the sustainability of basic grain systems. The data correspond to the baseline of an impact evaluation designed under a Difference-in-Differences (DiD) approach, which will allow the analysis of changes over time between treatment and control groups. This baseline, collected in 2023 with reference to the 2022 agricultural cycle, serves as the starting point for measuring the effects of the intervention in future follow-up rounds (2026–2027 and 2029–2030). Methodology:The data were collected using a multistage sampling design within an impact evaluation framework based on a Difference-in-Differences (DiD) approach. First, treatment communities were identified through consultations with AgriLAC partners to map areas of operational influence, while control communities were selected within the same municipalities but sufficiently distant to avoid spillover effects. A total of 65 communities (35 treatment and 30 control) were selected. In the second stage, households within each community were chosen through simple random sampling, selecting approximately 16 households in treatment areas and 15 in control areas. Baseline data were collected in 2023, referencing the 2022 agricultural cycle, and will serve as the starting point for longitudinal comparisons in later survey rounds. (2025-12) 2025 2026-01-14T21:21:42Z 2026-01-14T21:21:42Z Dataset https://hdl.handle.net/10568/179856 en es Limited Access Reyes Padilla, B.A.; Lopera Villamarin, D.C.; Quintero Cano, D.K.; Ordoñez Dueñas, J.C. (2025) Characterization of Households and Basic Grain-Producing Communities in Guatemala: A Multilevel Approach for the Eastern and Western Regions. https://doi.org/10.7910/DVN/HWLPUK |
| spellingShingle | beans farmers guatemala agrifood systems Reyes Padilla, Byron Alejandro Lopera Villamarin, Diana Carolina Quintero Cano, Diana Katherine Ordoñez Dueñas, Juan Camilo AgriLAC’s Guatemala Baseline datasets: Farmer and village level surveys |
| title | AgriLAC’s Guatemala Baseline datasets: Farmer and village level surveys |
| title_full | AgriLAC’s Guatemala Baseline datasets: Farmer and village level surveys |
| title_fullStr | AgriLAC’s Guatemala Baseline datasets: Farmer and village level surveys |
| title_full_unstemmed | AgriLAC’s Guatemala Baseline datasets: Farmer and village level surveys |
| title_short | AgriLAC’s Guatemala Baseline datasets: Farmer and village level surveys |
| title_sort | agrilac s guatemala baseline datasets farmer and village level surveys |
| topic | beans farmers guatemala agrifood systems |
| url | https://hdl.handle.net/10568/179856 |
| work_keys_str_mv | AT reyespadillabyronalejandro agrilacsguatemalabaselinedatasetsfarmerandvillagelevelsurveys AT loperavillamarindianacarolina agrilacsguatemalabaselinedatasetsfarmerandvillagelevelsurveys AT quinterocanodianakatherine agrilacsguatemalabaselinedatasetsfarmerandvillagelevelsurveys AT ordonezduenasjuancamilo agrilacsguatemalabaselinedatasetsfarmerandvillagelevelsurveys |