solidwastekampala: Quantity and Composition of Domestic Solid Waste in Kampala City
Source:R/solidwastekampala.R
solidwastekampala.RdHousehold-level results of a seven-day domestic solid waste characterisation in three parishes of Kampala City, Uganda (Bwaise I = low income, Bukoto I = middle income, Ggaba = high income). For each of the 103 analyzed households the data record socio-economic characteristics, the measured mass of ten waste categories, and the derived per-household metrics (total, per-day, per-capita, volume, and density).
Format
A tibble with 103 rows and 37 variables
- id
Package-level unique household identifier (1-103), following the row numbering of the All_data sheet in the raw workbook (Bwaise I, then Bukoto I, then Ggaba).
- household_id
Household label as recorded on the area sheet (for example Household_7); values repeat across parishes and contain gaps, so id is the unique key.
- division
Kampala City division the household is located in (Kawempe, Makindye, or Nakawa).
- parish
Study parish the household is located in (Bwaise I = low income, Bukoto I = middle income, Ggaba = high income area).
- zone
Administrative zone within the parish where the household is located.
- income_level
Income level of the household's study area as classified in the study design; ordered factor with levels low < middle < high.
- occupants
Number of people living in the household during the 7-day waste collection period.
- age_head
Age of the household head in years; ordered factor with levels 18-35 < 36-60 < >60.
- gender_head
Gender of the household head (Female or Male).
- education_head
Highest education level of the household head; ordered factor with levels Illiterate < Primary < Secondary < Tertiary.
- profession_head
Profession of the household head (Business, Government employee, Housewife, Private employee, or Retired).
- monthly_income_ugx
Monthly household income band in Uganda shillings (UGX); ordered factor with levels <500,000 < 500,000-1,000,000 < 1,000,000-3,000,000 < >3,000,000.
- respondent
Household member who answered the questionnaire (Household head, Spouse, Son/daughter, or Niece/nephew).
- period_of_stay
How long the household has lived at the premises; ordered factor with levels <1 year < 1-3 years < 3-5 years < >5 years.
- occupancy
Occupancy status of the premises (Occupied by owner or Rented).
- housing_quality
Type of dwelling as a proxy for housing quality (Bungalow, Story building, or Temporary).
- roof_material
Main roof material of the dwelling (Cemented, Iron sheets, Iron sheets/tiles, or Tiles); Bwaise I recorded only the combined Iron sheets/tiles category.
- wall_material
Main wall material of the dwelling (Bricks, Concrete blocks, or Mud/poles).
- floor_material
Main floor material of the dwelling (Cemented, Mud, or Tiles).
- water_access
Main drinking water access of the household (House connection, Stand pipe, or Yard tap).
- sanitation_facility
Whether the household's sanitation facility is shared with other households (Shared facilities or Not shared facilities).
- road_condition
Condition of the access road to the household (Paved or Unpaved).
- waste_food_kg
Mass of food waste generated by the household over the 7-day collection period, in kilograms (ASTM waste category).
- waste_garden_kg
Mass of garden waste generated by the household over the 7-day collection period, in kilograms (ASTM waste category).
- waste_wood_kg
Mass of wood waste generated by the household over the 7-day collection period, in kilograms (ASTM waste category).
- waste_textiles_kg
Mass of textile waste generated by the household over the 7-day collection period, in kilograms (ASTM waste category).
- waste_paper_kg
Mass of paper waste generated by the household over the 7-day collection period, in kilograms (ASTM waste category).
- waste_polythene_kg
Mass of polythene waste generated by the household over the 7-day collection period, in kilograms (ASTM waste category).
- waste_plastics_kg
Mass of plastic waste generated by the household over the 7-day collection period, in kilograms (ASTM waste category).
- waste_glass_kg
Mass of glass waste generated by the household over the 7-day collection period, in kilograms (ASTM waste category).
- waste_metals_kg
Mass of metal waste generated by the household over the 7-day collection period, in kilograms (ASTM waste category); for Ggaba Household_7 the value 2.674 was stored as text in the raw sheet and is excluded from that household's recorded waste_total_kg.
- waste_other_kg
Mass of waste not covered by the other nine categories, generated by the household over the 7-day collection period, in kilograms (ASTM waste category).
- waste_total_kg
Total mass of waste generated by the household over the 7-day collection period, in kilograms, as recorded in the raw sheet (SUM of the ten category columns).
- waste_per_day_kg
Mean daily mass of waste generated by the household, in kilograms per day (waste_total_kg divided by 7).
- waste_per_capita_kg
Mean daily mass of waste generated per household member, in kilograms per person per day (waste_per_day_kg divided by occupants).
- volume_l
Volume of the waste generated by the household over the 7-day collection period, in litres.
- density_kg_l
Bulk density of the generated waste, in kilograms per litre; multiply by 1000 for kg/m3 as reported in the manuscript.
Source
Data collected by the study team of Katukiza et al. (Makerere
University) for the manuscript "Quantity and Composition of Domestic
Solid Waste in Kampala City as Influenced by Socio-Economic Factors".
Raw workbook preserved in data-raw/data_sheets_with_analysis.xlsx.
Examples
head(solidwastekampala)
#> # A tibble: 6 × 37
#> id household_id division parish zone income_level occupants age_head
#> <int> <chr> <chr> <chr> <chr> <ord> <int> <ord>
#> 1 1 Household_1 Kawempe Bwaise I Lubagge low 3 18-35
#> 2 2 Household_2 Kawempe Bwaise I Lubagge low 7 36-60
#> 3 3 Household_3 Kawempe Bwaise I Lubagge low 6 36-60
#> 4 4 Household_5 Kawempe Bwaise I Bubajjwe low 11 >60
#> 5 5 Household_6 Kawempe Bwaise I Bubajjwe low 2 18-35
#> 6 6 Household_7 Kawempe Bwaise I Bubajjwe low 7 18-35
#> # ℹ 29 more variables: gender_head <chr>, education_head <ord>,
#> # profession_head <chr>, monthly_income_ugx <ord>, respondent <chr>,
#> # period_of_stay <ord>, occupancy <chr>, housing_quality <chr>,
#> # roof_material <chr>, wall_material <chr>, floor_material <chr>,
#> # water_access <chr>, sanitation_facility <chr>, road_condition <chr>,
#> # waste_food_kg <dbl>, waste_garden_kg <dbl>, waste_wood_kg <dbl>,
#> # waste_textiles_kg <dbl>, waste_paper_kg <dbl>, waste_polythene_kg <dbl>, …
summary(solidwastekampala$waste_per_capita_kg)
#> Min. 1st Qu. Median Mean 3rd Qu. Max.
#> 0.01629 0.30652 0.57279 0.62972 0.82521 1.94374
table(solidwastekampala$income_level)
#>
#> low middle high
#> 39 32 32