SDC-Report_v1

Input Data

The data set consists of 457 observations

Information on selected important (key) variables

  • Categorical key variable(s): DISTRICT | URB_RUR
  • Continuous key variable(s): not defined
  • Weight variable: HH_Final_weight
  • householdID: HOUSEHOLD_ID
  • strataVariable(s): not defined

Modifications

  • Modifications on categorical key variables: FALSE
  • Modifications on continuous key variables: NA
  • 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: 1)

Percentage of observations violating

  • 2-Anonymity: 0.000% (original dataset: 0.000%)
  • 3-Anonymity: 0.000% (original dataset: 0.219%)

Disclosure Risk for Categorical Variables

Expected Percentage of Reidentifications:

  • modified data: 0.012% (~ 0.053 observations)
  • original data: 0.012% (~ 0.054 observations)

10 combinations of categories with highest risks

DISTRICT URB_RUR risk fk Fk hier_risk
KENEMA Urban 0.001 8 2171.676 0.0005260
BO Rural 0.000 7 2632.320 0.0004430
KONO Rural 0.000 13 3132.336 0.0010368
KAMBIA Urban 0.000 8 3941.703 0.0002899
TONKOLILI Urban 0.000 17 4651.637 0.0004567
KAMBIA Rural 0.000 16 4807.443 0.0002218
KOINADUGU Rural 0.000 17 4965.538 0.0002139
KAILAHUN Urban 0.000 20 4974.280 0.0004231
MOYAMBA Rural 0.000 23 5719.752 0.0003655
PUJEHUN Rural 0.000 18 5950.507 0.0003558

Hierarchical risk

  • modified data: 0.086 (0.019%)
  • original data: 0.087 (0.019%)

Data Utility

Frequencies Categorical Key Variables:

Variable: DISTRICT

Categories Original data Modified data
KAILAHUN 65 65
KENEMA 33 33
KONO 9 9
BOMBALI 19 19
FALABA 22 22
KOINADUGU 13 13
TONKOLILI 113 113
KAMBIA 17 17
KARENE 0 NA
PORTLOKO 90 90
BO 3 3
BONTHE 0 NA
MOYAMBA 19 19
PUJEHUN 14 14
WESTERN RURAL 34 34
WESTERN URBAN 0 NA
NA 6 6

Variable: URB_RUR

Categories Original data Modified data
Rural 326 326
Urban 111 110
NA 20 21

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
Number of Suppression 0 1
Percentage 0.000 0.219

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 Mon, 06/04/2026 at 08:14:50.