Input Data
The data set consists of 930 observations
Information on selected important (key) variables
- Categorical key variable(s): DISTRICT | URB_RUR | S1B_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: 12)
- 3-Anonymity: 0 (original dataset: 28)
Percentage of observations violating
- 2-Anonymity: 0.000% (original dataset: 1.290%)
- 3-Anonymity: 0.000% (original dataset: 3.011%)
Disclosure Risk for Categorical Variables
Expected Percentage of Reidentifications:
- modified data: 0.040% (~ 0.370 observations)
- original data: 0.090% (~ 0.841 observations)
10 combinations of categories with highest risks
| DISTRICT | URB_RUR | S1B_CROP_ID | risk | fk | Fk | hier_risk |
|---|---|---|---|---|---|---|
| TONKOLILI | Urban | Krain Krain | 0.004 | 3 | 404.5985 | 0.0036937 |
| TONKOLILI | Urban | Sweet Peper | 0.003 | 3 | 527.2700 | 0.0028368 |
| KAMBIA | Urban | Krain Krain | 0.003 | 3 | 555.9193 | 0.0026910 |
| PORTLOKO | Urban | Other Vegetable Crops | 0.003 | 5 | 496.2228 | 0.0025127 |
| MOYAMBA | Urban | Okra | 0.002 | 5 | 553.0144 | 0.0022552 |
| KAILAHUN | Urban | Other Vegetable Crops | 0.002 | 4 | 725.3769 | 0.0022150 |
| KENEMA | NA | Krain Krain | 0.002 | 4 | 763.2552 | 0.0020088 |
| PUJEHUN | Urban | Cucumber | 0.002 | 3 | 886.1736 | 0.0016898 |
| KAMBIA | Urban | Okra | 0.002 | 4 | 820.2972 | 0.0020836 |
| KOINADUGU | Rural | Cucumber | 0.002 | 3 | 956.7225 | 0.0015654 |
Hierarchical risk
- modified data: 0.610 (0.066%)
- original data: 1.347 (0.145%)
Data Utility
Frequencies Categorical Key Variables:
Variable: DISTRICT
| Categories | Original data | Modified data |
|---|---|---|
| KAILAHUN | 116 | 114 |
| KENEMA | 70 | 70 |
| KONO | 114 | 114 |
| BOMBALI | 21 | 20 |
| FALABA | 55 | 53 |
| KOINADUGU | 18 | 18 |
| TONKOLILI | 81 | 79 |
| KAMBIA | 43 | 42 |
| KARENE | 21 | 19 |
| PORTLOKO | 85 | 85 |
| BO | 74 | 73 |
| BONTHE | 3 | 2 |
| MOYAMBA | 96 | 96 |
| PUJEHUN | 74 | 73 |
| WESTERN RURAL | 41 | 41 |
| WESTERN URBAN | 0 | NA |
| NA | 18 | 31 |
Variable: URB_RUR
| Categories | Original data | Modified data |
|---|---|---|
| Rural | 708 | 706 |
| Urban | 178 | 165 |
| NA | 44 | 59 |
Variable: S1B_CROP_ID
| Categories | Original data | Modified data |
|---|---|---|
| Rice | 0 | NA |
| Maize | 0 | NA |
| Millets | 0 | NA |
| Chilli Peper | 200 | 200 |
| Cucumber | 180 | 180 |
| Okra | 163 | 163 |
| Sweet Peper | 110 | 110 |
| Krain Krain | 62 | 62 |
| Potato leaves | 87 | 87 |
| Cocoa | 0 | NA |
| Coffee | 0 | NA |
| Kola | 0 | NA |
| Banana | 0 | NA |
| Groundnut | 0 | NA |
| Soya Beans | 0 | NA |
| Sesame(benie) | 0 | NA |
| Oil Palm | 0 | NA |
| Cassava | 0 | NA |
| Yams | 0 | NA |
| Broad beans | 0 | NA |
| Other Cereal Crops | 0 | NA |
| Other Vegetable Crops | 83 | 83 |
| Other Fruits and Nuts Crops | 0 | NA |
| Other Oil Seeds Crops | 0 | NA |
| Other Tuber/Root Crops | 45 | 45 |
| 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 | S1B_CROP_ID | |
|---|---|---|---|
| Number of Suppression | 13 | 15 | 0 |
| Percentage | 1.398 | 1.613 | 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 02:47:13.