Background: Internal displacement in Sudan has escalated dramatically following the April 2023 conflict onset, creating severe humanitarian needs in peripheral states such as Blue Nile State. Objectives: To provide a statistically coherent description of displacement dynamics and humanitarian indicators in Blue Nile State using publicly available secondary data. Methods: A descriptive analytical design was applied using aggregate secondary data from IOM DTM, UNICEF and OCHA. Key statistical procedures included percentage change calculations, annualised growth rate estimation, average flow rate computation, Herfindahl-Hirschman Index (HHI) for locality concentration, and cross-indicator comparison with national benchmarks. All equations are numbered and presented explicitly. Results: The IDP stock increased from 81,640 (April 2023) to 361,000 (March 2025), representing a 342.2% cumulative increase and an annualised growth rate of 117.2%. New displacement flows in early 2026 showed acceleration: the average daily rate increased from 341.7 to 430.5 individuals/day (rate ratio = 1.26). Displacement was geographically concentrated in three localities (HHI = 0.382). Humanitarian indicators reveal critical gaps, with 40% stunting, 57.7% school exclusion, and 57% lacking basic sanitation. Conclusions: Blue Nile State faces a severe and accelerating displacement crisis accompanied by multisectoral humanitarian deficits. The study highlights the need for harmonised monthly locality-level monitoring and multisectoral response prioritisation.
| Published in | International Journal of Statistical Distributions and Applications (Volume 12, Issue 2) |
| DOI | 10.11648/j.ijsda.20261202.11 |
| Page(s) | 24-35 |
| Creative Commons |
This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited. |
| Copyright |
Copyright © The Author(s), 2026. Published by Science Publishing Group |
Internal Displacement, IDPs, Blue Nile State, Sudan, Humanitarian Indicators, Secondary Data, Displacement Tracking, Herfindahl-Hirschman Index
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APA Style
Shokeralla, A. A., Alshaib, M., Daif, W. A. (2026). Statistical Analysis of Displacement in Blue Nile State: A Secondary-Data Analytical Study of Displacement and Humanitarian Indicators. International Journal of Statistical Distributions and Applications, 12(2), 24-35. https://doi.org/10.11648/j.ijsda.20261202.11
ACS Style
Shokeralla, A. A.; Alshaib, M.; Daif, W. A. Statistical Analysis of Displacement in Blue Nile State: A Secondary-Data Analytical Study of Displacement and Humanitarian Indicators. Int. J. Stat. Distrib. Appl. 2026, 12(2), 24-35. doi: 10.11648/j.ijsda.20261202.11
@article{10.11648/j.ijsda.20261202.11,
author = {Alshaikh Ahmed Shokeralla and Mohammed Alshaib and Waleid Alnour Daif},
title = {Statistical Analysis of Displacement in Blue Nile State:
A Secondary-Data Analytical Study of Displacement and Humanitarian Indicators},
journal = {International Journal of Statistical Distributions and Applications},
volume = {12},
number = {2},
pages = {24-35},
doi = {10.11648/j.ijsda.20261202.11},
url = {https://doi.org/10.11648/j.ijsda.20261202.11},
eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijsda.20261202.11},
abstract = {Background: Internal displacement in Sudan has escalated dramatically following the April 2023 conflict onset, creating severe humanitarian needs in peripheral states such as Blue Nile State. Objectives: To provide a statistically coherent description of displacement dynamics and humanitarian indicators in Blue Nile State using publicly available secondary data. Methods: A descriptive analytical design was applied using aggregate secondary data from IOM DTM, UNICEF and OCHA. Key statistical procedures included percentage change calculations, annualised growth rate estimation, average flow rate computation, Herfindahl-Hirschman Index (HHI) for locality concentration, and cross-indicator comparison with national benchmarks. All equations are numbered and presented explicitly. Results: The IDP stock increased from 81,640 (April 2023) to 361,000 (March 2025), representing a 342.2% cumulative increase and an annualised growth rate of 117.2%. New displacement flows in early 2026 showed acceleration: the average daily rate increased from 341.7 to 430.5 individuals/day (rate ratio = 1.26). Displacement was geographically concentrated in three localities (HHI = 0.382). Humanitarian indicators reveal critical gaps, with 40% stunting, 57.7% school exclusion, and 57% lacking basic sanitation. Conclusions: Blue Nile State faces a severe and accelerating displacement crisis accompanied by multisectoral humanitarian deficits. The study highlights the need for harmonised monthly locality-level monitoring and multisectoral response prioritisation.},
year = {2026}
}
TY - JOUR T1 - Statistical Analysis of Displacement in Blue Nile State: A Secondary-Data Analytical Study of Displacement and Humanitarian Indicators AU - Alshaikh Ahmed Shokeralla AU - Mohammed Alshaib AU - Waleid Alnour Daif Y1 - 2026/07/28 PY - 2026 N1 - https://doi.org/10.11648/j.ijsda.20261202.11 DO - 10.11648/j.ijsda.20261202.11 T2 - International Journal of Statistical Distributions and Applications JF - International Journal of Statistical Distributions and Applications JO - International Journal of Statistical Distributions and Applications SP - 24 EP - 35 PB - Science Publishing Group SN - 2472-3509 UR - https://doi.org/10.11648/j.ijsda.20261202.11 AB - Background: Internal displacement in Sudan has escalated dramatically following the April 2023 conflict onset, creating severe humanitarian needs in peripheral states such as Blue Nile State. Objectives: To provide a statistically coherent description of displacement dynamics and humanitarian indicators in Blue Nile State using publicly available secondary data. Methods: A descriptive analytical design was applied using aggregate secondary data from IOM DTM, UNICEF and OCHA. Key statistical procedures included percentage change calculations, annualised growth rate estimation, average flow rate computation, Herfindahl-Hirschman Index (HHI) for locality concentration, and cross-indicator comparison with national benchmarks. All equations are numbered and presented explicitly. Results: The IDP stock increased from 81,640 (April 2023) to 361,000 (March 2025), representing a 342.2% cumulative increase and an annualised growth rate of 117.2%. New displacement flows in early 2026 showed acceleration: the average daily rate increased from 341.7 to 430.5 individuals/day (rate ratio = 1.26). Displacement was geographically concentrated in three localities (HHI = 0.382). Humanitarian indicators reveal critical gaps, with 40% stunting, 57.7% school exclusion, and 57% lacking basic sanitation. Conclusions: Blue Nile State faces a severe and accelerating displacement crisis accompanied by multisectoral humanitarian deficits. The study highlights the need for harmonised monthly locality-level monitoring and multisectoral response prioritisation. VL - 12 IS - 2 ER -