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Data about household survey of managing sanitation facilities in Abidjan, Cote d’Ivoire

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saniabidjan

License: CC BY 4.0 R-CMD-check GitHub Downloads (all assets, all releases)

The goal of saniabidjan is to provide survey data about the behavior and practices of managing sanitation facilties in two low-income areas of Abidjan, Cote d’Ivoire.

Installation

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

# install.packages("devtools")
devtools::install_github("openwashdata/saniabidjan")
## Run the following code in console if you don't have the packages
## install.packages(c("dplyr", "knitr", "readr", "stringr", "gt", "kableExtra"))
library(dplyr)
library(knitr)
library(readr)
library(stringr)
library(gt)
library(kableExtra)

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

dataset CSV XLSX
saniabidjan Download CSV Download XLSX

Data

The package provides access to one dataset saniabidjan. It contains household survey data in two low-income areas of Abidjan. The focus of the survey is to understand the behavior and practices of the population in terms of managing sanitation facilities, as well as to assess the diseases they face.

library(saniabidjan)

saniabidjan

The dataset saniabidjan contains data about household surveys that cover 101 households in Abobo and 106 households in Yopougon. It has 207 observations and 25 variables

saniabidjan |> 
  head(3) |> 
  gt::gt() |>
  gt::as_raw_html()
area_name sex education housing_type status lat_facilities facilities_loc facilities_type lat_sharing nb_user impacts_of_sharing lat_care clean_freq_wk tank_presence tank_location latrines_nb tk_status empty_freq_yr empty_mode empty_price wastwat_dispos waste_cont waste_cont_loc cont_empty_wk common_ill
Yopougon male primary individual renter FALSE house improved latrine FALSE 2 no problems myself 4 TRUE court yard 8 performs well 1 emptying truck 40000 street TRUE courtyard 2 malaria
Yopougon female no common courtyard owner TRUE yard pit latrine FALSE 10 waiting line myself 2 TRUE court yard 8 performs well 2 emptying truck 15000 street TRUE courtyard 2 malaria
Yopougon female high school common courtyard renter TRUE house improved latrine FALSE 5 waiting line myself 2 TRUE court yard 3 performs well 1 emptying truck 30000 street TRUE out of courtyard 2 malaria

For an overview of the variable names, see the following table.

variable_name variable_type description
area_name factor Identify survey areas, options including (1) Abobo and (2) Yopougon.
sex factor Indicates respondents gender, options including (1) female and (2) male.
education factor Level of education of respondents, options including (1) no: the respondent did not go to school, (2) primary: the respondent has an elementary level, (3) coranic: the respondent went to a Quranic school, (4) high school: the respondent has a high school degree, and (5) graduate: the respondent has a university degree.
housing_type factor Description of the accommodation unit where the respondent lives, options including (1) common courtyard and (2) individual.
status factor Indicates if respondent is the homeowner or not, options including (1) free host: the respondent is hosted for free, (2) owner: the respondent is the homeowner, and (3) renter: the respondent is the renter.
lat_facilities logical Does the surveyed household have latrine facilities?
facilities_loc factor Specifies the exact location of the latrine in the household, options including (1) house, (2) yard, and (3) out of yard.
facilities_type factor Describes the type of latrine used in the household, options including (1) pit latrine, (2) improved latrine, and (3) public latrine.
lat_sharing logical Explains how latrines are used in the household
nb_user numeric Reveals the number of users of the latrines.
impacts_of_sharing factor Indication of how the respondent perceives the use of latrines, options including (1) hygiene problems, (2) no problems, (3) vulnerable to disease, and (4) waiting line.
lat_care factor Gives an overview of the people in charge of latrine cleaning, options including (1) myself, (2) no care, and (3) private person, and (4) round turn.
clean_freq_wk numeric Specifies the cleaning frequency of latrines in the household.
tank_presence logical Does the surveyed household have septic tank?
tank_location factor Specifies the exact location of the septic tank in the household, options including (1) court yard, (2) out of court yard, and (3) not know.
latrines_nb numeric Reveals the number of latrines connecting to the septic tank.
tk_status logical Expresses septic tank performance status.
empty_freq_yr factor Indicates the number of times that the septic tank is emptied during the year in the household, options including (1) 1, (2) 2 and (3) 3.
empty_mode factor Indicates how the septic tank is emptied in the household, options including (1) emptying truck, (2) manual emptying, and (3) truck and manual.
empty_price numeric Shows the charge/price (in CFA franc) for emptying the septic tank.
wastwat_dispos factor Show whether the household has wastewater disposal facilities, options including (1) courtyard, (2) open drain, and (3) street.
waste_cont logical Does the surveyed household have solid waste disposal facilities?
waste_cont_loc factor Precise location of solid waste disposal equipment, options including (1) courtyard and (2) out of courtyard.
cont_empty_wk numeric Indicates the emptying frequency of solid waste disposal equipment per week
common_ill factor Overview of the most common disease in the household associated with sanitation, options including (1) diarrhea, (2) infections, (3) malaria, and (4) typhoid fever.

Example

library(saniabidjan)
library(ggplot2)
# Provide some example code here
saniabidjan |>
  ggplot(mapping = aes(x = facilities_type)) + 
  geom_bar(aes(fill = lat_care), position = "dodge") +
  labs(title = "Distribution of latrine care for different latrine types", 
       x = "Type of facilities",
       fill = "Latrine care type") 

Capstone Project

This dataset is shared as part of a capstone project in Data Science for openwashdata. For more information about the project and to explore further insights, please visit the project page at https://ds4owd-001.github.io/project-coulbyph/

License

Data are available as CC-BY.

Citation

Please cite this package using:

citation("saniabidjan")
#> To cite package 'saniabidjan' in publications use:
#> 
#>   Zié Zoumana Coulibaly P, Dongo K, Zhong M (2024). "saniabidjan: Data
#>   About Behavior and Practices of Managing Sanitation Facilties in
#>   Abidjan, Cote d’Ivoire." doi:10.5281/zenodo.13134220
#>   <https://doi.org/10.5281/zenodo.13134220>,
#>   <https://github.com/openwashdata/saniabidjan>.
#> 
#> A BibTeX entry for LaTeX users is
#> 
#>   @Misc{ziezoumanacoulibaly_etall:2024,
#>     title = {saniabidjan: Data About Behavior and Practices of Managing Sanitation Facilties in Abidjan, Cote d’Ivoire},
#>     author = {Phaniwa {Zié Zoumana Coulibaly} and Kouassi Dongo and Mian Zhong},
#>     year = {2024},
#>     doi = {10.5281/zenodo.13134220},
#>     url = {https://github.com/openwashdata/saniabidjan},
#>     abstract = {This data package contains household survey data collected from two low-income areas of Abidjan, Cote d'Ivoire. The survey was focusing on practices related to the management of sanitation facilities, specifically, latrines and tanks.},
#>     keywords = {abidjan,cote-d-ivoire,household-surveys,open-data,openwashdata,r,sanitation,wash,water-management},
#>     version = {0.0.1},
#>   }