SDC-Report_v1

Input Data

The data set consists of 2113 observations

Information on selected important (key) variables

  • Categorical key variable(s): DISTRICT | URB_RUR | S2A_CROP_ID
  • 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: 10)

Percentage of observations violating

  • 2-Anonymity: 0.000% (original dataset: 0.000%)
  • 3-Anonymity: 0.000% (original dataset: 0.473%)

Disclosure Risk for Categorical Variables

Expected Percentage of Reidentifications:

  • modified data: 0.012% (~ 0.247 observations)
  • original data: 0.014% (~ 0.290 observations)

10 combinations of categories with highest risks

DISTRICT URB_RUR S2A_CROP_ID risk fk Fk hier_risk
MOYAMBA Rural Cocoa 0.004 3 349.2412 0.0042767
KAMBIA Urban Oil Palm 0.003 3 451.9014 0.0050895
FALABA Urban Oil Palm 0.003 3 470.8783 0.0031754
TONKOLILI NA Coffee 0.003 3 547.1005 0.0055986
PUJEHUN Urban Oil Palm 0.003 4 500.2000 0.0026585
FALABA NA Coffee 0.003 3 596.7387 0.0040902
KAILAHUN Urban Coffee 0.002 10 490.0062 0.0028071
KAMBIA Urban Other Fruits and Nuts Crops 0.002 4 744.7794 0.0050895
KARENE Urban Oil Palm 0.002 3 883.5699 0.0016948
NA Urban Kola 0.002 4 805.4039 0.0016527

Hierarchical risk

  • modified data: 0.553 (0.026%)
  • original data: 0.670 (0.032%)

Data Utility

Frequencies Categorical Key Variables:

Variable: DISTRICT

Categories Original data Modified data
KAILAHUN 850 849
KENEMA 411 411
KONO 563 563
BOMBALI 9 9
FALABA 23 23
KOINADUGU 2 2
TONKOLILI 62 62
KAMBIA 6 6
KARENE 7 7
PORTLOKO 15 13
BO 27 27
BONTHE 7 7
MOYAMBA 88 88
PUJEHUN 28 27
WESTERN RURAL 0 NA
WESTERN URBAN 0 NA
NA 15 19

Variable: URB_RUR

Categories Original data Modified data
Rural 1835 1832
Urban 226 223
NA 52 58

Variable: S2A_CROP_ID

Categories Original data Modified data
Rice 0 NA
Maize 0 NA
Millets 0 NA
Chilli Peper 0 NA
Cucumber 0 NA
Okra 0 NA
Sweet Peper 0 NA
Krain Krain 0 NA
Potato leaves 0 NA
Cocoa 975 975
Coffee 194 194
Kola 67 67
Banana 0 NA
Groundnut 0 NA
Soya Beans 0 NA
Sesame(benie) 0 NA
Oil Palm 743 743
Cassava 0 NA
Yams 0 NA
Broad beans 0 NA
Other Cereal Crops 0 NA
Other Vegetable Crops 0 NA
Other Fruits and Nuts Crops 108 108
Other Oil Seeds Crops 26 26
Other Tuber/Root Crops 0 NA
Other Leguminous Crops 0 NA
Other Industrial Crops 0 NA

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 S2A_CROP_ID
Number of Suppression 4 6 0
Percentage 0.189 0.284 0.000

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 Tue, 07/04/2026 at 03:10:31.