SDC-Report_v1

Input Data

The data set consists of 4695 observations

Information on selected important (key) variables

  • Categorical key variable(s): DISTRICT | URB_RUR | S6A_ITEM_NAME
  • Continuous key variable(s): Total_qty_collected_kg | Total_qty_consumed_kg | Total_qty_sold_kg | Value_qty_sold | Value_qty_collected
  • Weight variable: HH_Final_weight
  • householdID: HOUSEHOLD_ID
  • strataVariable(s): not defined

Modifications

  • Modifications on categorical key variables: FALSE
  • Modifications on continuous key variables: TRUE
  • Modifications using PRAM: FALSE
  • Local suppressions: TRUE

Disclosure risk:

Frequency Analysis for Categorical Key Variables

Number of observations violating

  • 2-Anonymity: 0 (original dataset: 0)
  • 3-Anonymity: 0 (original dataset: 0)

Percentage of observations violating

  • 2-Anonymity: 0.000% (original dataset: 0.000%)
  • 3-Anonymity: 0.000% (original dataset: 0.000%)

Disclosure Risk for Categorical Variables

Expected Percentage of Reidentifications:

  • modified data: 0.005% (~ 0.213 observations)
  • original data: 0.005% (~ 0.213 observations)

10 combinations of categories with highest risks

DISTRICT URB_RUR S6A_ITEM_NAME risk fk Fk hier_risk
KAMBIA Urban Fishes 0.003 3 589.5226 0.0075946
KAMBIA Urban Crustaceans(Crabs & Shrims) 0.003 3 589.5226 0.0075946
KAMBIA Urban Clams/Mollusks (Snales) 0.003 3 589.5226 0.0075946
PUJEHUN Urban Fishes 0.001 5 1332.0859 0.0028099
PUJEHUN Urban Crustaceans(Crabs & Shrims) 0.001 5 1332.0859 0.0028099
PUJEHUN Urban Clams/Mollusks (Snales) 0.001 5 1332.0859 0.0028099
FALABA Urban Fishes 0.000 18 2167.0934 0.0014643
FALABA Urban Crustaceans(Crabs & Shrims) 0.000 18 2167.0934 0.0014643
FALABA Urban Clams/Mollusks (Snales) 0.000 18 2167.0934 0.0014643
TONKOLILI Urban Fishes 0.000 19 3445.3788 0.0009185

Disclosure Risk Continuous Scaled Variables

The (distance-based) disclosure risk for continous key variables is between 0.000% and 97.359% in the modified data.

In the original data, the risk is assumed to be approximately 100.000%.

Hierarchical risk

  • modified data: 0.638 (0.014%)
  • original data: 0.638 (0.014%)

Data Utility

Frequencies Categorical Key Variables:

Variable: DISTRICT

Categories Original data Modified data
KAILAHUN 885 885
KENEMA 672 672
KONO 768 768
BOMBALI 150 150
FALABA 234 234
KOINADUGU 90 90
TONKOLILI 375 375
KAMBIA 42 42
KARENE 60 60
PORTLOKO 291 291
BO 423 423
BONTHE 186 186
MOYAMBA 294 294
PUJEHUN 156 156
WESTERN RURAL 36 36
WESTERN URBAN 0 NA
NA 33 33

Variable: URB_RUR

Categories Original data Modified data
Rural 4083 4083
Urban 483 483
NA 129 129

Variable: S6A_ITEM_NAME

Categories Original data Modified data
Clams/Mollusks (Snales) 1565 1565
Crustaceans(Crabs & Shrims) 1565 1565
Fishes 1565 1565

Local Suppressions

The table below shows for each categorical key variable the number (1st row) and the percentages (2nd row) of suppressed cells.

DISTRICT URB_RUR S6A_ITEM_NAME
Number of Suppression 0 0 0
Percentage 0.000 0.000 0.000

Data Utility of Continuous Scaled Key Variables

Univariate summary of variable Total_qty_collected_kg

Original Modified Difference
Min. 9.000 9.0 0.000
1st Qu. 130.440 130.4 0.040
Median 245.760 184.3 61.460
Mean 1271.294 142.5 1128.794
3rd Qu. 986.880 184.3 802.580
Max. 17920.000 184.3 17735.700

Univariate summary of variable Total_qty_consumed_kg

Original Modified Difference
Min. 3.0000 3.0 0.0000
1st Qu. 19.3200 19.3 0.0200
Median 60.0000 60.0 0.0000
Mean 350.6835 65.7 284.9835
3rd Qu. 353.2800 106.2 247.0800
Max. 4480.0000 106.2 4373.8000

Univariate summary of variable Total_qty_sold_kg

Original Modified Difference
Min. 3.0000 3.0 0.0000
1st Qu. 89.0000 89.0 0.0000
Median 144.0000 144.0 0.0000
Mean 919.5426 185.5 734.0426
3rd Qu. 583.6800 311.0 272.6800
Max. 13440.0000 311.0 13129.0000

Univariate summary of variable Value_qty_sold

Original Modified Difference
Min. 150.00 150.0 0.00000
1st Qu. 1080.00 1080.0 0.00000
Median 3000.00 3000.0 0.00000
Mean 32855.48 32769.4 86.07826
3rd Qu. 18640.00 18640.0 0.00000
Max. 225000.00 223020.0 1980.00000

Univariate summary of variable Value_qty_collected

Original Modified Difference
Min. 300.00 300.0 0.0000
1st Qu. 1920.00 1920.0 0.0000
Median 4500.00 4500.0 0.0000
Mean 45522.24 44979.9 542.3406
3rd Qu. 28960.00 28960.0 0.0000
Max. 337500.00 325026.0 12474.0000

Information Loss Criteria

  • Criteria IL1: 11826.112%
  • Difference of Eigenvalues in modified data: 307.676% (0.00% in original data)

Boxplot of Differences

R-Code

Session-Info

About the R-Version

  • Version: R version 4.5.2 (2025-10-31 ucrt)
  • Platform: x86_64-w64-mingw32

Locales

LC_COLLATE=English_United States.utf8 | LC_CTYPE=English_United States.utf8 | LC_MONETARY=English_United States.utf8 | LC_NUMERIC=C | LC_TIME=English_United States.utf8

Attached base packages

stats | graphics | grDevices | utils | datasets | methods | base

Other attached packages

labelled (2.16.0) | questionr (0.8.1) | haven (2.5.5) | readxl (1.4.5) | tidyr (1.3.1) | dplyr (1.1.4) | agrisvyr (0.2.0) | sdcMicro (5.7.9)

Packages loaded via Namespace (but not attached)

tidyselect (1.2.1) | viridisLite (0.4.2) | farver (2.1.2) | R.utils (2.13.0) | S7 (0.2.1) | fastmap (1.2.0) | promises (1.5.0) | digest (0.6.38) | mime (0.13) | lifecycle (1.0.4) | cluster (2.1.8.1) | magrittr (2.0.4) | compiler (4.5.2) | rlang (1.1.6) | sass (0.4.10) | tools (4.5.2) | utf8 (1.2.6) | yaml (2.3.10) | data.table (1.17.8) | knitr (1.50) | askpass (1.2.1) | htmlwidgets (1.6.4) | plyr (1.8.9) | xml2 (1.4.1) | RColorBrewer (1.1-3) | miniUI (0.1.2) | withr (3.0.2) | purrr (1.2.0) | R.oo (1.27.1) | grid (4.5.2) | xtable (1.8-4) | data.tree (1.2.0) | ggplot2 (4.0.1) | scales (1.4.0) | MASS (7.3-65) | cli (3.6.5) | rmarkdown (2.30) | crayon (1.5.3) | generics (0.1.4) | otel (0.2.0) | rstudioapi (0.17.1) | robustbase (0.99-6) | tzdb (0.5.0) | cachem (1.1.0) | stringr (1.6.0) | rhandsontable (0.3.8) | cellranger (1.1.0) | vctrs (0.6.5) | jsonlite (2.0.0) | carData (3.0-5) | hms (1.1.4) | systemfonts (1.3.1) | jquerylib (0.1.4) | shinyBS (0.61.1) | glue (1.8.0) | DEoptimR (1.1-4) | DT (0.34.0) | stringi (1.8.7) | gtable (0.3.6) | later (1.4.4) | tibble (3.3.0) | pillar (1.11.1) | htmltools (0.5.8.1) | openssl (2.3.4) | R6 (2.6.1) | textshaping (1.0.4) | evaluate (1.0.5) | shiny (1.11.1) | kableExtra (1.4.0) | readr (2.1.6) | highr (0.11) | R.methodsS3 (1.8.2) | openxlsx (4.2.8.1) | renv (1.1.5) | httpuv (1.6.16) | bslib (0.9.0) | Rcpp (1.1.0) | zip (2.3.3) | svglite (2.2.2) | xfun (0.54) | fs (1.6.6) | forcats (1.0.1) | usethis (3.2.1) | getPass (0.2-4) | prettydoc (0.4.1) | pkgconfig (2.0.3)

Disclaimer

R-Package sdcMicro is developed and maintained by Statistics Austria (www.statistik.at).

Please use the issue-tracker on github to report any issues:


This report was generated on Wed, 08/04/2026 at 23:33:29.