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asia-displacement-bangladesh-iom-dtm-from-api

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metadata 
annotations_creators:
  - no-annotation
language_creators:
  - found
language:
  - en
license: other
multilinguality:
  - monolingual
size_categories:
  - n<1K
source_datasets:
  - original
task_categories:
  - tabular-classification
  - other
task_ids: []
tags:
  - africa
  - humanitarian
  - hdx
  - electric-sheep-africa
  - conflict-violence
  - displacement
  - forced-displacement
  - internally-displaced-persons-idp
  - bgd
pretty_name: Bangladesh IOM Displacement Tracking Matrix (DTM) from API
dataset_info:
  splits:
    - name: train
      num_examples: 58
    - name: test
      num_examples: 14

Bangladesh IOM Displacement Tracking Matrix (DTM) from API

Publisher: International Organization for Migration (IOM) · Source: HDX · License: hdx-other · Updated: 2026-05-04

Abstract

This dataset comes from the International Organization for Migration (IOM)'s displacement tracking matrix (DTM) publicly accessible API. This API allows the humanitarian community, academia, media, government, and non-governmental organizations to utilize the data collected by DTM. The DTM API only provides non-sensitive IDP figures, aggregated at the country, Admin 1 (states, provinces, or equivalent), and Admin 2 (smaller subnational administrative areas) levels. For more detailed information, please see the country-specific DTM datasets on HDX.

Each row in this dataset represents subnational administrative unit observations. Temporal coverage is indicated by the reportingdate column(s). Geographic scope: BGD.

Curated into ML-ready Parquet format by Electric Sheep Africa.

Dataset Characteristics

Domain Conflict and security
Unit of observation Subnational administrative unit observations
Rows (total) 73
Columns 21 (6 numeric, 14 categorical, 1 datetime)
Train split 58 rows
Test split 14 rows
Geographic scope BGD
Publisher International Organization for Migration (IOM)
HDX last updated 2026-05-04

Variables

Geographic — admin0name (Bangladesh), admin0pcode (BGD), admin1name (Dhaka, Chittagong, Khulna), admin1pcode (BD30, BD20, BD40), admin2name (Rajbari, Rangpur, Kurigram) and 7 others.

Temporal — reportingdate, monthreportingdate (range 10.0–10.0).

Outcome / Measurement — roundnumber (range 1.0–1.0).

Identifier / Metadata — id (range 360.0–136356.0), numpresentidpind (range 1121.0–4955527.0), esa_source, esa_processed.

Other — operation (Mobility Monitoring due to Disasters), operationstatus.

Quick Start 

from datasets import load_dataset

ds    = load_dataset("electricsheepafrica/asia-displacement-bangladesh-iom-dtm-from-api")
train = ds["train"].to_pandas()
test  = ds["test"].to_pandas()

print(train.shape)
train.head()

Schema

Column Type Null % Range / Sample Values
id float64 1.4% 360.0 – 136356.0 (mean 59232.5)
operation object 0.0% Mobility Monitoring due to Disasters
admin0name object 0.0% Bangladesh
admin0pcode object 0.0% BGD
admin1name object 1.4% Dhaka, Chittagong, Khulna
admin1pcode object 1.4% BD30, BD20, BD40
admin2name object 12.3% Rajbari, Rangpur, Kurigram
admin2pcode object 12.3% BD3082, BD5585, BD5549
adminlevel int64 0.0% 0.0 – 2.0 (mean 1.863)
numpresentidpind int64 0.0% 1121.0 – 4955527.0 (mean 203651.7945)
reportingdate datetime64[ns] 0.0%
yearreportingdate int64 0.0% 2025.0 – 2025.0 (mean 2025.0)
monthreportingdate int64 0.0% 10.0 – 10.0 (mean 10.0)
roundnumber int64 0.0% 1.0 – 1.0 (mean 1.0)
displacementreason object 0.0% Natural disaster
idporiginadmin1name object 0.0% Not available
idporiginadmin1pcode object 0.0% Not available
assessmenttype object 0.0%
operationstatus object 0.0%
esa_source object 0.0%
esa_processed object 0.0%

Numeric Summary

Column Min Max Mean Median
id 360.0 136356.0 59232.5 56194.0
adminlevel 0.0 2.0 1.863 2.0
numpresentidpind 1121.0 4955527.0 203651.7945 60003.0
yearreportingdate 2025.0 2025.0 2025.0 2025.0
monthreportingdate 10.0 10.0 10.0 10.0
roundnumber 1.0 1.0 1.0 1.0

Curation

Raw data was downloaded from HDX via the CKAN API and converted to Parquet. Column names were lowercased and standardised to snake_case. Common missing-value markers (N/A, null, none, -, unknown, no data, #N/A) were unified to NaN. 2 column(s) with >80% missing values were removed: numbermales, numberfemales. 1 column(s) were cast from string to numeric or datetime based on parse-success rate (>85% threshold). The dataset was split 80/20 into train and test partitions using a fixed random seed (42) and saved as Snappy-compressed Parquet.

Limitations

  • Data originates from International Organization for Migration (IOM) and has not been independently validated by ESA.
  • Automated cleaning cannot correct for misreported values, definitional inconsistencies, or sampling bias in the original collection.
  • Refer to the original HDX dataset page for the publisher's own methodology notes and caveats.

Citation 

@dataset{hdx_asia_displacement_bangladesh_iom_dtm_from_api,
  title     = {Bangladesh IOM Displacement Tracking Matrix (DTM) from API},
  author    = {International Organization for Migration (IOM)},
  year      = {2026},
  url       = {https://data.humdata.org/dataset/bgd-iom-dtm-from-api},
  note      = {Repackaged for machine learning by Electric Sheep Africa (https://huggingface.co/electricsheepafrica)}
}

Electric Sheep Africa — Africa's ML dataset infrastructure. Lagos, Nigeria.