This package contains information related to wastewater management practices and household infrastructure in the Metropolitan Region of Belém, Brazil. It includes variables such as sector codes, metropolitan region names, municipality codes, and names, as well as data on the location type, living conditions, average income, and household amenities. The data provides insights into wastewater disposal habits, water supply sources, bathroom facilities, and sanitation infrastructure in Brazilian households, contributing to understanding environmental sustainability and infrastructure development efforts. “Atlas of the 2010 Demographic Census - PGI” (n.d.)

Based on the data, it appears for example that the municipality of Marituba exhibits poorer housing conditions compared to others. In this dataset, housing conditions are represented numerically, with ‘1’ indicating correct housing conditions and ‘0’ indicating poor housing conditions. The location map displays the Metropolitan Region of Belém.

You can install the development version of wsabrazil from GitHub with:

# install.packages("devtools")
devtools::install_github("openwashdata/wsabrazil")

Alternatively, you can download the dataset as a CSV or XLSX file from the table below.

The dataset includes observations of wastewater management practices and household infrastructure (access to water and sanitation services) across various regions in Brazil.

The data was collected in 2010 and the package provides access to one single dataset.

library(wsabrazil)

The wsabrazil dataset has 19 variables and 1965 observations. For an overview of the variable names, see the following table.

wsabrazil

From the dataset, we can explore the distribution of water sources in the Metropolitan Region of Belém. We create here a horizontal bar plot to visualize the frequency of different water sources available, utilizing variables such as piped water or stored rainwater. We observe from the resulting plot (see Figure below) that the majority of private households are supplied by piped water. Interestingly, none of the households store rainwater. This is possibly due to factors such as local climate patterns and infrastructure limitations.

library(dplyr)
library(ggplot2)
library(wsabrazil)

# Reshape the data into long format
data_long <- wsabrazil |> 
  tidyr::pivot_longer(cols = piped_water:other_water_source, 
                      names_to = "water_source", 
                      values_to = "frequency")
  
# Create a horizontal bar plot of water source types
plot <- ggplot(data_long, aes(x = frequency, y = reorder(water_source, frequency))) +
  geom_col(fill = "#3399FF") +
  # labs(x = "Frequency", y = "Water Source", 
       title = "Water Supply in Belém", 
       caption = "") +
  theme(plot.title = element_text(hjust = 0.5, face = "bold", color = "#333333"))

plot + scale_x_continuous(labels = scales::number_format())

Data are available as CC-BY.

To cite this package, please use:

citation("wsabrazil")
#> To cite package 'wsabrazil' in publications use:
#> 
#>   Götschmann M, Santos L (2024). "wsabrazil: Wastewater management and
#>   household infrastructure in Brazil - Demographic Census 2010."
#> 
#> A BibTeX entry for LaTeX users is
#> 
#>   @Misc{gotschmann_etall:2024,
#>     title = {wsabrazil: Wastewater management and household infrastructure in Brazil - Demographic Census 2010},
#>     author = {Margaux Götschmann and Lais Santos},
#>     year = {2024},
#>     abstract = {This dataset about wastewater management and household infrastructure from various Brazilian regions provides insights into wastewater disposal habits, water sources, bathroom facilities, and sanitation infrastructure.},
#>     version = {0.0.0.9000},
#>   }