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: 4)
- 3-Anonymity: 0 (original dataset: 20)
Percentage of observations violating
- 2-Anonymity: 0.000% (original dataset: 0.042%)
- 3-Anonymity: 0.000% (original dataset: 0.212%)
Disclosure Risk for Categorical Variables
Expected Percentage of Reidentifications:
- modified data: 0.012% (~ 1.118 observations)
- original data: 0.015% (~ 1.382 observations)
10 combinations of categories with highest risks
| MOYAMBA |
Urban |
Banana |
0.007 |
3 |
208.9014 |
0.0071292 |
| MOYAMBA |
Rural |
Cocoa |
0.004 |
3 |
349.2412 |
0.0043916 |
| TONKOLILI |
Urban |
Krain Krain |
0.004 |
3 |
404.5985 |
0.0047751 |
| MOYAMBA |
Urban |
Okra |
0.003 |
3 |
432.9942 |
0.0049036 |
| KAMBIA |
Urban |
Oil Palm |
0.003 |
3 |
451.9014 |
0.0041282 |
| FALABA |
Urban |
Oil Palm |
0.003 |
3 |
470.8783 |
0.0033514 |
| TONKOLILI |
Urban |
Sweet Peper |
0.003 |
3 |
527.2700 |
0.0028862 |
| TONKOLILI |
NA |
Coffee |
0.003 |
3 |
547.1005 |
0.0043672 |
| KAMBIA |
Urban |
Krain Krain |
0.003 |
3 |
555.9193 |
0.0029694 |
| FALABA |
Urban |
Millets |
0.003 |
3 |
561.7391 |
0.0045446 |
Disclosure Risk Continuous Scaled Variables
The (distance-based) disclosure risk for continous key variables is
between 0.000% and 96.490% in the modified data.
In the original data, the risk is assumed to be approximately
100.000%.
Hierarchical risk
- modified data: 3.905 (0.041%)
- original data: 5.018 (0.053%)
Data Utility
Frequencies Categorical Key Variables:
Variable: DISTRICT
| KAILAHUN |
1653 |
1653 |
| KENEMA |
979 |
978 |
| KONO |
1359 |
1358 |
| BOMBALI |
300 |
299 |
| FALABA |
334 |
333 |
| KOINADUGU |
125 |
125 |
| TONKOLILI |
1041 |
1041 |
| KAMBIA |
417 |
415 |
| KARENE |
280 |
279 |
| PORTLOKO |
662 |
661 |
| BO |
699 |
699 |
| BONTHE |
138 |
137 |
| MOYAMBA |
729 |
728 |
| PUJEHUN |
512 |
512 |
| WESTERN RURAL |
98 |
97 |
| WESTERN URBAN |
0 |
NA |
| NA |
104 |
115 |
Variable: URB_RUR
| Rural |
7800 |
7796 |
| Urban |
1314 |
1308 |
| NA |
316 |
326 |
Variable: Crop_ID
| Rice |
3171 |
3171 |
| Maize |
581 |
581 |
| Millets |
73 |
73 |
| Chilli Peper |
196 |
196 |
| Cucumber |
179 |
179 |
| Okra |
159 |
159 |
| Sweet Peper |
110 |
110 |
| Krain Krain |
61 |
61 |
| Potato leaves |
82 |
82 |
| Cocoa |
904 |
904 |
| Coffee |
186 |
186 |
| Kola |
64 |
64 |
| Banana |
95 |
95 |
| Groundnut |
962 |
962 |
| Soya Beans |
73 |
73 |
| Sesame(benie) |
105 |
105 |
| Oil Palm |
713 |
713 |
| Cassava |
1076 |
1076 |
| Yams |
76 |
76 |
| Broad beans |
136 |
136 |
| Other Cereal Crops |
0 |
NA |
| Other Vegetable Crops |
125 |
125 |
| Other Fruits and Nuts Crops |
133 |
133 |
| Other Oil Seeds Crops |
25 |
25 |
| Other Tuber/Root Crops |
87 |
87 |
| Other Leguminous Crops |
50 |
50 |
| Other Industrial Crops |
8 |
8 |
Local Suppressions
The table below shows for each categorical key variable the number
(1st row) and the percentages (2nd row) of suppressed cells.
| Number of Suppression |
11 |
10 |
0 |
| Percentage |
0.117 |
0.106 |
0.000 |
Data Utility of Continuous Scaled Key Variables
Univariate summary of variable production_KGS
| Min. |
2.14682 |
2.1 |
0.0468201 |
| 1st Qu. |
391.17077 |
391.2 |
-0.0292313 |
| Median |
978.05923 |
978.1 |
-0.0407654 |
| Mean |
2794.73627 |
2794.7 |
0.0362667 |
| 3rd Qu. |
2312.01184 |
2312.0 |
0.0118408 |
| Max. |
97567.16406 |
97567.2 |
-0.0359375 |
Univariate summary of variable DEST_1
| Min. |
0.0507396 |
0.1 |
-0.0492604 |
| 1st Qu. |
17.8921967 |
17.9 |
-0.0078033 |
| Median |
47.5138321 |
47.5 |
0.0138321 |
| Mean |
197.4092338 |
193.6 |
3.8092338 |
| 3rd Qu. |
129.3279877 |
129.3 |
0.0279877 |
| Max. |
7770.9951172 |
4765.6 |
3005.3951172 |
Univariate summary of variable DEST_2
| Min. |
0.00106 |
0.0 |
1.060000e-03 |
| 1st Qu. |
38.13836 |
38.1 |
3.836290e-02 |
| Median |
115.20111 |
115.2 |
1.110800e-03 |
| Mean |
357.56677 |
337.1 |
2.046677e+01 |
| 3rd Qu. |
315.24680 |
315.2 |
4.679570e-02 |
| Max. |
20299.00977 |
4937.2 |
1.536181e+04 |
Univariate summary of variable DEST_3
| Min. |
0.0000000 |
0.0 |
0.0000000 |
| 1st Qu. |
0.0000000 |
0.0 |
0.0000000 |
| Median |
0.6833843 |
0.7 |
-0.0166157 |
| Mean |
40.5362756 |
38.7 |
1.8362756 |
| 3rd Qu. |
21.9112706 |
21.9 |
0.0112706 |
| Max. |
7080.8574219 |
1610.1 |
5470.7574219 |
Univariate summary of variable DEST_4
| Min. |
0.0066955 |
0.0 |
0.0066955 |
| 1st Qu. |
9.8233783 |
9.8 |
0.0233783 |
| Median |
26.4751396 |
26.5 |
-0.0248604 |
| Mean |
71.9891663 |
71.9 |
0.0891663 |
| 3rd Qu. |
70.3893700 |
70.4 |
-0.0106300 |
| Max. |
2763.4555664 |
1990.4 |
773.0555664 |
Univariate summary of variable DEST_5
| Min. |
0.0016407 |
0.0 |
0.0016407 |
| 1st Qu. |
23.7860074 |
23.8 |
-0.0139926 |
| Median |
62.8803272 |
62.9 |
-0.0196728 |
| Mean |
164.9122620 |
161.2 |
3.7122620 |
| 3rd Qu. |
153.3523598 |
153.4 |
-0.0476402 |
| Max. |
4727.1367188 |
2488.9 |
2238.2367188 |
Univariate summary of variable DEST_6
| Min. |
0.0044637 |
0.0 |
0.0044637 |
| 1st Qu. |
19.0588002 |
19.1 |
-0.0411998 |
| Median |
53.2134895 |
53.2 |
0.0134895 |
| Mean |
170.8510254 |
160.4 |
10.4510254 |
| 3rd Qu. |
140.9511375 |
141.0 |
-0.0488625 |
| Max. |
5864.0458984 |
2046.4 |
3817.6458984 |
Univariate summary of variable DEST_7
| Min. |
0.022235 |
0.0 |
0.0222350 |
| 1st Qu. |
26.471132 |
26.5 |
-0.0288677 |
| Median |
73.139065 |
73.1 |
0.0390648 |
| Mean |
211.224804 |
203.4 |
7.8248041 |
| 3rd Qu. |
185.135243 |
185.1 |
0.0352425 |
| Max. |
7077.048828 |
3112.8 |
3964.2488281 |
Univariate summary of variable DEST_8
| Min. |
0.0242283 |
0.0 |
0.0242283 |
| 1st Qu. |
14.8200226 |
14.8 |
0.0200226 |
| Median |
41.4326363 |
41.4 |
0.0326363 |
| Mean |
117.7030881 |
112.0 |
5.7030881 |
| 3rd Qu. |
106.4675636 |
106.5 |
-0.0324364 |
| Max. |
3833.5402832 |
1448.1 |
2385.4402832 |
Univariate summary of variable DEST_9
| Min. |
0.0045273 |
0.0 |
0.0045273 |
| 1st Qu. |
11.0084879 |
11.0 |
0.0084879 |
| Median |
31.6716042 |
31.7 |
-0.0283958 |
| Mean |
94.8996744 |
93.4 |
1.4996744 |
| 3rd Qu. |
85.9215946 |
85.9 |
0.0215946 |
| Max. |
2780.9445801 |
1584.3 |
1196.6445801 |
Univariate summary of variable DEST_10
| Min. |
9.058730e-02 |
0.1 |
-0.0094127 |
| 1st Qu. |
1.926946e+01 |
19.3 |
-0.0305436 |
| Median |
8.848460e+01 |
88.5 |
-0.0153961 |
| Mean |
4.582137e+02 |
421.3 |
36.9136681 |
| 3rd Qu. |
3.203775e+02 |
320.4 |
-0.0224518 |
| Max. |
1.905757e+04 |
6168.4 |
12889.1664062 |
Univariate summary of variable DEST_11
| Min. |
6.283340e-02 |
0.1 |
-0.0371666 |
| 1st Qu. |
4.414354e+01 |
44.1 |
0.0435442 |
| Median |
1.542056e+02 |
154.2 |
0.0056122 |
| Mean |
6.364878e+02 |
577.1 |
59.3877739 |
| 3rd Qu. |
4.541685e+02 |
454.2 |
-0.0314972 |
| Max. |
2.420275e+04 |
7270.1 |
16932.6539063 |
Univariate summary of variable DEST_12
| Min. |
0.0049418 |
0.0 |
0.0049418 |
| 1st Qu. |
37.0617895 |
37.1 |
-0.0382105 |
| Median |
104.9920883 |
105.0 |
-0.0079117 |
| Mean |
272.9425542 |
265.7 |
7.2425542 |
| 3rd Qu. |
268.9802399 |
269.0 |
-0.0197601 |
| Max. |
7223.1406250 |
3318.7 |
3904.4406250 |
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 Fri, 10/04/2026 at 10:37:59.