Input Data
The data set consists of 691 observations
Information on selected important (key) variables
- Categorical key variable(s): DISTRICT | URB_RUR | S3B_CROP_PRODUCT_ID
- Continuous key variable(s): S3BQ7C
- 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: 27)
- 3-Anonymity: 0 (original dataset: 59)
Percentage of observations violating
- 2-Anonymity: 0.000% (original dataset: 3.907%)
- 3-Anonymity: 0.000% (original dataset: 8.538%)
Disclosure Risk for Categorical Variables
Expected Percentage of Reidentifications:
- modified data: 0.034% (~ 0.236 observations)
- original data: 0.178% (~ 1.229 observations)
10 combinations of categories with highest risks
| DISTRICT | URB_RUR | S3B_CROP_PRODUCT_ID | risk | fk | Fk | hier_risk |
|---|---|---|---|---|---|---|
| MOYAMBA | Urban | Gari | 0.008 | 3 | 194.4658 | 0.0103135 |
| KARENE | Urban | Foo foo | 0.004 | 3 | 390.2900 | 0.0038286 |
| TONKOLILI | Urban | Foo foo | 0.003 | 3 | 457.3164 | 0.0032693 |
| BOMBALI | Urban | Foo foo | 0.002 | 4 | 575.9685 | 0.0023096 |
| MOYAMBA | Urban | Foo foo | 0.002 | 6 | 545.1751 | 0.0103135 |
| KAILAHUN | Urban | Foo foo | 0.002 | 3 | 711.1293 | 0.0021049 |
| KAMBIA | Urban | Gari | 0.002 | 3 | 715.9302 | 0.0033296 |
| PORTLOKO | NA | Rice flour | 0.002 | 3 | 833.5657 | 0.0082564 |
| KAILAHUN | Urban | Rice flour | 0.002 | 4 | 745.5009 | 0.0020501 |
| MOYAMBA | NA | Coconut oil | 0.001 | 3 | 1022.2921 | 0.0014651 |
Disclosure Risk Continuous Scaled Variables
The (distance-based) disclosure risk for continous key variables is between 0.000% and 99.711% in the modified data.
In the original data, the risk is assumed to be approximately 100.000%.
Hierarchical risk
- modified data: 0.484 (0.070%)
- original data: 2.888 (0.418%)
Data Utility
Frequencies Categorical Key Variables:
Variable: DISTRICT
| Categories | Original data | Modified data |
|---|---|---|
| KAILAHUN | 135 | 133 |
| KENEMA | 117 | 116 |
| KONO | 21 | 16 |
| BOMBALI | 14 | 13 |
| FALABA | 4 | 1 |
| KOINADUGU | 5 | 2 |
| TONKOLILI | 47 | 44 |
| KAMBIA | 34 | 31 |
| KARENE | 29 | 29 |
| PORTLOKO | 44 | 42 |
| BO | 43 | 43 |
| BONTHE | 18 | 18 |
| MOYAMBA | 137 | 133 |
| PUJEHUN | 29 | 29 |
| WESTERN RURAL | 4 | 3 |
| WESTERN URBAN | 0 | NA |
| NA | 10 | 38 |
Variable: URB_RUR
| Categories | Original data | Modified data |
|---|---|---|
| Rural | 568 | 564 |
| Urban | 96 | 70 |
| NA | 27 | 57 |
Variable: S3B_CROP_PRODUCT_ID
| Categories | Original data | Modified data |
|---|---|---|
| Maize flour | 25 | 25 |
| Rice flour | 67 | 67 |
| Polished, glazed, parboiled or converted | 46 | 46 |
| Processed or preserved fruit and vegetab | 14 | 14 |
| Palm oil | 246 | 246 |
| Coconut oil | 4 | 3 |
| Gari | 127 | 127 |
| Foo foo | 115 | 115 |
| Tobacco products (cigars, chewing tobacco) | 4 | 4 |
| Other (specify) | 43 | 43 |
| NA | NA | 1 |
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 | S3B_CROP_PRODUCT_ID | |
|---|---|---|---|
| Number of Suppression | 28 | 30 | 1 |
| Percentage | 4.052 | 4.342 | 0.145 |
Data Utility of Continuous Scaled Key Variables
Univariate summary of variable S3BQ7C
| Original | Modified | Difference | |
|---|---|---|---|
| Min. | 1.000 | 1.0 | 0.000 |
| 1st Qu. | 20.000 | 20.0 | 0.000 |
| Median | 400.000 | 400.0 | 0.000 |
| Mean | 2057.757 | 797.6 | 1260.157 |
| 3rd Qu. | 750.000 | 750.0 | 0.000 |
| Max. | 45642.857 | 4384.3 | 41258.557 |
Information Loss Criteria
- Criteria IL1: 145.427%
- Difference of Eigenvalues in modified data: 0.000% (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 Tue, 07/04/2026 at 23:04:35.