Variance of food insecurity prevalence by region, calculated from bfa_eas. Used for demonstrating Neyman optimal allocation in stratified sampling.
Format
A tibble with 13 rows and 2 columns:
- region
Factor. Region name
- var
Numeric. Variance of food insecurity prevalence within region
Examples
# View the variance data
bfa_eas_variance
#> # A tibble: 13 × 2
#> region var
#> <fct> <dbl>
#> 1 Boucle du Mouhoun 17.7
#> 2 Cascades 1.32
#> 3 Centre 1.02
#> 4 Centre-Est 18.6
#> 5 Centre-Nord 87.0
#> 6 Centre-Ouest 7.42
#> 7 Centre-Sud 3.03
#> 8 Est 134.
#> 9 Hauts-Bassins 0.411
#> 10 Nord 264.
#> 11 Plateau-Central 7.75
#> 12 Sahel 253.
#> 13 Sud-Ouest 2.49
# Neyman allocation minimizes variance for fixed sample size
sampling_design() |>
stratify_by(region, alloc = "neyman", variance = bfa_eas_variance) |>
draw(n = 200) |>
execute(bfa_eas, seed = 2)
#> # A tbl_sample: 200 × 17
#> # Weights: 222.85 [83.71, 2419.5]
#> ea_id region province commune urban_rural population households area_km2
#> * <int> <fct> <fct> <fct> <fct> <dbl> <int> <dbl>
#> 1 6219 Boucle du … Nayala Kougny Rural 1544 178 2.52
#> 2 34772 Boucle du … Sourou Tougan Rural 872 120 0.99
#> 3 25911 Boucle du … Mouhoun Dedoug… Rural 222 39 8.39
#> 4 31953 Boucle du … Sourou Kiemba… Rural 602 78 6.91
#> 5 31928 Boucle du … Sourou Kiemba… Rural 906 118 0.85
#> 6 36703 Boucle du … Bale Fara Rural 975 143 1.31
#> 7 8235 Boucle du … Mouhoun Ouarko… Rural 271 37 8.86
#> 8 43720 Boucle du … Mouhoun Safane Rural 101 14 8.14
#> 9 11746 Boucle du … Bale Yaho Rural 98 15 8.72
#> 10 44450 Boucle du … Mouhoun Tcheri… Rural 628 100 7.25
#> # ℹ 190 more rows
#> # ℹ 9 more variables: accessible <lgl>, dist_road_km <dbl>,
#> # food_insecurity_pct <dbl>, cost <dbl>, .weight <dbl>, .sample_id <int>,
#> # .stage <int>, .weight_1 <dbl>, .fpc_1 <int>