washdata: Urban Water and Sanitation Survey Dataset

This package contains four datasets from an urban water and sanitation survey in Dhaka, Bangladesh conducted byWater and Sanitation for the Urban Poor with technical support fromValid International in March 2017.

• popBGD: Dataset on estimated population of each primary sampling unit (PSU) that were surveyed. This dataset is a mix of data fromWorldPop for the non-slum areas and from the2014 Bangladesh Census of Slum Areas and Floating Population.

• ppiMatrixBGD: Look-up table for calculating thePoverty Probability Index (previously calledProgress out of Poverty Index) orPPI from Bangladesh-specific indicators collected from cross-sectional surveys. This look-up table is extracted from documentation of thePPI found athttps://www.povertyindex.org

• surveyDataBGD: Dataset collected through the urban water and sanitation surveys conducted by WSUP in Dhaka, Bangladesh.

• indicatorsDataBGD: Dataset produced fromsurveyDataBGD by calculating relevant indicators on water, sanitation and hygiene as specified and defined by WSUP

This survey in Dhaka is one of a series of surveys to be conducted by WSUP in various cities in which they operate including Accra, Ghana; Nakuru, Kenya; Antananarivo, Madagascar; Maputo, Mozambique; and, Lusaka, Zambia. This package will be updated once the surveys in other cities are completed and datasets have been made available.

install.packages("washdata")

# if (!require) remotes install.packages("remotes")remotes::install_github("katilingban/washdata")

citation("washdata")#> To cite washdata in publications use:#>#>   Ernest Guevarra (2024). _washdata: Urban Water and Sanitation Survey#>   Dataset_. doi:10.5281/zenodo.4058890#>   <https://doi.org/10.5281/zenodo.4058890>, R package version 0.1.4,#>   <https://katilingban.io/washdata/>.#>#> A BibTeX entry for LaTeX users is#>#>   @Manual{,#>     title = {washdata: Urban Water and Sanitation Survey Dataset},#>     author = {{Ernest Guevarra}},#>     year = {2024},#>     note = {R package version 0.1.4},#>     url = {https://katilingban.io/washdata/},#>     doi = {10.5281/zenodo.4058890},#>   }