Uganda Agricultural Survey Frame (LSMS-style)

Source: R/datasets.R

A synthetic agricultural survey frame inspired by Living Standards Measurement Study - Integrated Surveys on Agriculture (LSMS-ISA). Uses real Uganda administrative divisions but contains entirely fictional data.

uganda_farms

Format

A tibble with approximately 800 rows and 7 columns:

ea_id

Character. Unique enumeration area identifier

region

Factor. Region (Central, Eastern, Northern, Western)

district

Factor. District name

urban_rural

Factor. Urban/Rural classification

n_households

Integer. Number of households in the EA

avg_farm_size_ha

Numeric. Average farm size in hectares

main_crop

Factor. Predominant crop in the EA

Details

This dataset is designed for demonstrating:

  • Agricultural survey sampling

  • Stratification by region and urban/rural

  • Domain estimation (by crop type)

  • Multi-stage sampling for household agricultural surveys

Main crops vary by region reflecting actual Ugandan agriculture: Central (coffee, maize, beans, banana), Eastern (maize, millet, rice, cotton), Northern (millet, sorghum, groundnuts, sesame), Western (coffee, banana, tea, maize).

Note

This is a synthetic dataset. Administrative divisions are real but all data values are fictional.

Examples

data(uganda_farms)
head(uganda_farms)
#> # A tibble: 6 × 7
#>   ea_id      region district urban_rural n_households avg_farm_size_ha main_crop
#>   <chr>      <fct>  <fct>    <fct>              <dbl>            <dbl> <fct>    
#> 1 UG_Cen_Ka… Centr… Kampala  Rural                 86             5.05 beans    
#> 2 UG_Cen_Ka… Centr… Kampala  Urban                 94             0.43 beans    
#> 3 UG_Cen_Ka… Centr… Kampala  Urban                 62             0.49 banana   
#> 4 UG_Cen_Ka… Centr… Kampala  Rural                 40             4    banana   
#> 5 UG_Cen_Ka… Centr… Kampala  Urban                 44             0.35 beans    
#> 6 UG_Cen_Ka… Centr… Kampala  Rural                 72             0.83 maize    
table(uganda_farms$region, uganda_farms$main_crop)
#>           
#>            banana beans coffee cotton groundnuts maize millet rice sesame
#>   Central      54    43     71      0          0    43      0    0      0
#>   Eastern       0     0      0     45          0    48     71   47      0
#>   Northern      0     0      0      0         38     0     41    0     35
#>   Western      53     0     49      0          0    57      0    0      0
#>           
#>            sorghum tea
#>   Central        0   0
#>   Eastern        0   0
#>   Northern      36   0
#>   Western        0  64

# Stratified sample by region
if (FALSE) { # \dontrun{
sampling_design() |>
  stratify_by(region, alloc = "proportional") |>
  cluster_by(ea_id) |>
  draw(n = 30) |>
  execute(uganda_farms, seed = 42)
} # }