Datasets:

electricsheepafrica
/

africa-niger-future-displacement-forecasts-cbb77310

+---
+license: cc-by-4.0
+language:
+- en
+task_categories:
+- tabular-classification
+- tabular-regression
+multilinguality: monolingual
+size_categories:
+- n<1K
+tags:
+- tabular
+- xlsx
+- africa
+- niger
+- official-statistics
+- open-data
+configs:
+- config_name: default
+  data_files:
+  - split: train
+    path: data/train-00000-of-00001.parquet
+pretty_name: "Future Displacement Forecasts | Africa (Niger official open data)"
+---
+# Future Displacement Forecasts | Africa (Niger official open data)
+27 rows - 1 Africa country - 2026 - Repackaged by [Electric Sheep Africa](https://huggingface.co/electricsheepafrica)
+![rows](https://img.shields.io/badge/rows-27-blue)
+![countries](https://img.shields.io/badge/countries-1-green)
+![years](https://img.shields.io/badge/years-2026-orange)
+![indicators](https://img.shields.io/badge/indicators-0-purple)
+![license](https://img.shields.io/badge/license-cc-by-4.0-lightgrey)
+## TL;DR
+This dataset packages one official `XLSX` resource from **Niger** as
+ML-ready Parquet. The source file is the provenance boundary; all usable
+indicators or tabular columns from the resource stay together in this repo.
+## About the source
+- **Source:** [Future Displacement Forecasts](https://data.humdata.org/dataset/drc-displacement-forecasts)
+- **Publisher:** Danish Refugee Council
+- **Resource:** [foresight-displacement-forecasts-june-2026.xlsx](https://data.humdata.org/dataset/dd000cd0-5757-484f-9df8-4aee6c7362c5/resource/d66a64cf-b7fb-4867-afae-8de7316aae18/download/foresight-displacement-forecasts-june-2026.xlsx)
+- **Format:** `XLSX`
+- **License:** [CC BY 4.0](https://creativecommons.org/licenses/by/4.0/)
+- **Packaging mode:** `tabular_resource`
+## Geographic coverage
+1 Africa country:
+| Country | Rows | First year | Last year | Name |
+|---------|-----:|-----------:|----------:|------|
+| `NER` | 27 | 2026 | 2026 | `Niger` |
+## Indicators or Resource Contents
+- This source file is packaged as a normalized tabular resource.
+## Schema
+| Column | Type | Description | Example |
+|--------|------|-------------|---------|
+| `source_record_id` | `string` | Stable row identifier for tabular resources. | `d66a64cf-b7fb-4867-afae-8de7316aae18:sheet1:0` |
+| `country_iso3` | `category` | ISO3 country code. | `NER` |
+| `country_name` | `category` | Country name. | `Niger` |
+| `source_sheet` | `string` | Workbook sheet name, when the source is a spreadsheet. | `Sheet1` |
+| `year` | `Int64` | Observation year. | `2026` |
+| `country_code` | `string` | Source column. | `AFG` |
+| `forecast_26` | `int64` | Source column. | `8760041` |
+| `forecast_27` | `int64` | Source column. | `8791718` |
+| `forecast_28` | `int64` | Source column. | `8937720` |
+| `source_period_start_year` | `Int64` | First year inferred from source resource metadata. | `2026` |
+| `source_period_end_year` | `Int64` | Last year inferred from source resource metadata. | `2026` |
+| `source_period_label` | `category` | Human-readable period inferred from source resource metadata. | `2026` |
+| `source_provider` | `category` | Publishing organization. | `Danish Refugee Council` |
+| `source_dataset` | `category` | Source package title. | `Future Displacement Forecasts` |
+| `source_resource` | `category` | Source resource title. | `foresight-displacement-forecasts-june-2026.xlsx` |
+| `source_package_id` | `category` | CKAN package UUID. | `dd000cd0-5757-484f-9df8-4aee6c7362c5` |
+| `source_resource_id` | `category` | CKAN resource UUID. | `d66a64cf-b7fb-4867-afae-8de7316aae18` |
+| `source_url` | `category` | Original source resource URL. | `https://data.humdata.org/dataset/dd000cd0-5757-484f-9df8-4aee6c7362c5/re` |
+| `license_id` | `category` | Source license identifier. | `cc-by` |
+| `retrieved_at` | `category` | UTC retrieval timestamp. | `2026-08-14T00:35:21Z` |
+## Usage
+```python
+from datasets import load_dataset
+ds = load_dataset("electricsheepafrica/africa-niger-future-displacement-forecasts-cbb77310")
+df = ds["train"].to_pandas()
+print(df.head())
+```
+### Filter to one country
+```python
+sample_country = df[df["country_iso3"] == "NER"]
+```
+### Work with indicators
+```python
+if "indicator_id" in df.columns:
+    print(df["indicator_id"].value_counts().head())
+    sample = df.sort_values([c for c in ["indicator_id", "year"] if c in df.columns])
+```
+## Citation
+```bibtex
+@misc{electric_sheep_africa_africa_niger_future_displacement_forecasts_cbb77310_2026,
+  title        = {Future Displacement Forecasts | Africa (Niger official open data)},
+  author       = {Danish Refugee Council},
+  year         = {2026},
+  url          = {https://data.humdata.org/dataset/drc-displacement-forecasts},
+  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Africa},
+  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-niger-future-displacement-forecasts-cbb77310}}
+}
+```
+## License
+Released under [CC BY 4.0](https://creativecommons.org/licenses/by/4.0/).
+Original data (c) Danish Refugee Council. When using this dataset, please cite both the
+original source above and the Electric Sheep Africa repackaging.
+## About Electric Sheep
+Electric Sheep Africa is part of the Electric Sheep mission: a unified,
+ML-ready data layer for Africa on Hugging Face. We pull data from authoritative
+open sources, normalize the schemas, package as Parquet, and publish with
+consistent dataset cards so researchers and developers can use `load_dataset()`
+to start working in seconds.
+Browse the full collection: [huggingface.co/electricsheepafrica](https://huggingface.co/electricsheepafrica)
+---
+Provenance: ingested 2026-08-14 via the Electric Sheep pipeline. Source URL:
+https://data.humdata.org/dataset/dd000cd0-5757-484f-9df8-4aee6c7362c5/resource/d66a64cf-b7fb-4867-afae-8de7316aae18/download/foresight-displacement-forecasts-june-2026.xlsx

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+size 16420

metadata/source_snapshot.json ADDED Viewed

	@@ -0,0 +1,56 @@

+{
+  "columns": [
+    "source_record_id",
+    "country_iso3",
+    "country_name",
+    "source_sheet",
+    "year",
+    "country_code",
+    "forecast_26",
+    "forecast_27",
+    "forecast_28",
+    "source_period_start_year",
+    "source_period_end_year",
+    "source_period_label",
+    "source_provider",
+    "source_dataset",
+    "source_resource",
+    "source_package_id",
+    "source_resource_id",
+    "source_url",
+    "license_id",
+    "retrieved_at"
+  ],
+  "generated_at": "2026-08-14T00:55:40Z",
+  "indicator_count": 0,
+  "mode": "tabular_resource",
+  "repo_id": "electricsheepafrica/africa-niger-future-displacement-forecasts-cbb77310",
+  "rows": 27,
+  "source": {
+    "api_base_url": "https://data.humdata.org/api/3/action",
+    "country_iso3": "NER",
+    "country_name": "Niger",
+    "group_names": "afg,bfa,bdi,cmr,caf,tcd,col,cod,slv,eth,gtm,hnd,irq,lby,mli,moz,mmr,ner,nga,som,ssd,sdn,syr,ukr,ven,yem",
+    "license_id": "cc-by",
+    "license_title": "Creative Commons Attribution International (CC BY)",
+    "license_url": "http://www.opendefinition.org/licenses/cc-by",
+    "organization_name": "danish-refugee-council",
+    "organization_title": "Danish Refugee Council",
+    "package_id": "dd000cd0-5757-484f-9df8-4aee6c7362c5",
+    "package_name": "drc-displacement-forecasts",
+    "package_notes": "Forecasts of forced displacement (IDPs, asylum seekers and refugees) one to three years into the future based on machine learning model.",
+    "package_page_url": "https://data.humdata.org/dataset/drc-displacement-forecasts",
+    "package_title": "Future Displacement Forecasts",
+    "portal_url": "https://data.humdata.org",
+    "resource_description": "The current displacement forecasts for 2026-2028",
+    "resource_format": "XLSX",
+    "resource_id": "d66a64cf-b7fb-4867-afae-8de7316aae18",
+    "resource_last_modified": "2026-07-15T09:39:28.491304",
+    "resource_name": "foresight-displacement-forecasts-june-2026.xlsx",
+    "resource_position": "0",
+    "resource_url": "https://data.humdata.org/dataset/dd000cd0-5757-484f-9df8-4aee6c7362c5/resource/d66a64cf-b7fb-4867-afae-8de7316aae18/download/foresight-displacement-forecasts-june-2026.xlsx",
+    "tag_names": "asylum seekers,displacement,forecasting,internally displaced persons-idp,refugees"
+  },
+  "year_max": 2026,
+  "year_min": 2026
+}