Input Data
The data set consists of 102 observations
Information on selected important (key) variables
- Categorical key variable(s): DISTRICT | URB_RUR | S5A_ITEM_NAME
- Continuous key variable(s): Qty_produced | Qty_consumed
- 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: 3)
- 3-Anonymity: 0 (original dataset: 12)
Percentage of observations violating
- 2-Anonymity: 0.000% (original dataset: 2.941%)
- 3-Anonymity: 0.000% (original dataset: 11.765%)
Disclosure Risk for Categorical Variables
Expected Percentage of Reidentifications:
- modified data: 0.048% (~ 0.049 observations)
- original data: 0.176% (~ 0.179 observations)
10 combinations of categories with highest risks
| DISTRICT | URB_RUR | S5A_ITEM_NAME | risk | fk | Fk | hier_risk |
|---|---|---|---|---|---|---|
| KAILAHUN | NA | Tilapia fish | 0.001 | 5 | 1198.667 | 0.0031220 |
| KAILAHUN | NA | Cat fish | 0.001 | 5 | 1198.667 | 0.0031220 |
| KAILAHUN | NA | Others specify | 0.001 | 5 | 1198.667 | 0.0031220 |
| TONKOLILI | Rural | Tilapia fish | 0.001 | 6 | 1297.697 | 0.0027690 |
| TONKOLILI | Rural | Cat fish | 0.001 | 6 | 1297.697 | 0.0027690 |
| TONKOLILI | Rural | Others specify | 0.001 | 6 | 1297.697 | 0.0027690 |
| TONKOLILI | NA | Tilapia fish | 0.001 | 6 | 1297.697 | 0.0027690 |
| TONKOLILI | NA | Cat fish | 0.001 | 6 | 1297.697 | 0.0027690 |
| TONKOLILI | NA | Others specify | 0.001 | 6 | 1297.697 | 0.0027690 |
| KAMBIA | Rural | Tilapia fish | 0.001 | 8 | 1503.902 | 0.0022763 |
Disclosure Risk Continuous Scaled Variables
The (distance-based) disclosure risk for continous key variables is between 0.000% and 98.039% in the modified data.
In the original data, the risk is assumed to be approximately 100.000%.
Hierarchical risk
- modified data: 0.148 (0.145%)
- original data: 0.532 (0.522%)
Data Utility
Frequencies Categorical Key Variables:
Variable: DISTRICT
| Categories | Original data | Modified data |
|---|---|---|
| KAILAHUN | 6 | 3 |
| KENEMA | 3 | NA |
| KONO | 9 | 9 |
| BOMBALI | 27 | 27 |
| FALABA | 0 | NA |
| KOINADUGU | 6 | 6 |
| TONKOLILI | 6 | 6 |
| KAMBIA | 12 | 12 |
| KARENE | 0 | NA |
| PORTLOKO | 9 | 9 |
| BO | 18 | 18 |
| BONTHE | 3 | NA |
| MOYAMBA | 0 | NA |
| PUJEHUN | 0 | NA |
| WESTERN RURAL | 0 | NA |
| WESTERN URBAN | 0 | NA |
| NA | 3 | 12 |
Variable: URB_RUR
| Categories | Original data | Modified data |
|---|---|---|
| Rural | 93 | 93 |
| Urban | 3 | NA |
| NA | 6 | 9 |
Variable: S5A_ITEM_NAME
| Categories | Original data | Modified data |
|---|---|---|
| Cat fish | 34 | 34 |
| Others specify | 34 | 34 |
| Tilapia fish | 34 | 34 |
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 | S5A_ITEM_NAME | |
|---|---|---|---|
| Number of Suppression | 9 | 3 | 0 |
| Percentage | 8.824 | 2.941 | 0.000 |
Data Utility of Continuous Scaled Key Variables
Univariate summary of variable Qty_produced
| Original | Modified | Difference | |
|---|---|---|---|
| Min. | 0.86000 | 0.9 | -0.040000 |
| 1st Qu. | 15.36000 | 15.4 | -0.040000 |
| Median | 30.72000 | 30.7 | 0.020000 |
| Mean | 73.99828 | 68.4 | 5.598276 |
| 3rd Qu. | 61.44000 | 61.4 | 0.040000 |
| Max. | 430.00000 | 286.7 | 143.300000 |
Univariate summary of variable Qty_consumed
| Original | Modified | Difference | |
|---|---|---|---|
| Min. | 0.2150 | 0.2 | 0.0150 |
| 1st Qu. | 10.2400 | 10.2 | 0.0400 |
| Median | 25.8000 | 25.8 | 0.0000 |
| Mean | 150.2112 | 49.4 | 100.8112 |
| 3rd Qu. | 61.4400 | 61.4 | 0.0400 |
| Max. | 3072.0000 | 227.3 | 2844.7000 |
Information Loss Criteria
- Criteria IL1: 158.590%
- Difference of Eigenvalues in modified data: 80.505% (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 23:32:18.