electricsheepafrica/africa-unhcr-population-data-for-dza

---
annotations_creators:
- no-annotation
language_creators:
- found
language:
- en
license: cc-by-4.0
multilinguality:
- monolingual
size_categories:
- 1K<n<10K
source_datasets:
- original
task_categories:
- tabular-classification
- tabular-regression
task_ids: []
tags:
- africa
- humanitarian
- hdx
- electric-sheep-africa
- asylum-seekers
- internally-displaced-persons-idp
- population
- refugees
- stateless-persons
- dza
pretty_name: "Algeria - Data on forcibly displaced populations and stateless persons"
dataset_info:
splits:
- name: train
num_examples: 1076
- name: test
num_examples: 269
---

# Algeria - Data on forcibly displaced populations and stateless persons

**Publisher:** UNHCR - The UN Refugee Agency · **Source:** [HDX](https://data.humdata.org/dataset/unhcr-population-data-for-dza) · **License:** `cc-by-igo` · **Updated:** 2026-02-25

---

## Abstract

Data collated by UNHCR, containing information about forcibly displaced populations and stateless persons, spanning across more than 70 years of statistical activities. The data includes the countries / territories of asylum and origin. Specific resources are available for end-year population totals, demographics, asylum applications, decisions, and solutions availed by refugees and IDPs (resettlement, naturalisation or returns).

Each row in this dataset represents first-level administrative unit observations. Data was last updated on HDX on 2026-02-25. Geographic scope: **DZA**.

*Curated into ML-ready Parquet format by [Electric Sheep Africa](https://huggingface.co/electricsheepafrica).*

---

## Dataset Characteristics

| | |
|---|---|
| **Domain** | Demographics and population |
| **Unit of observation** | First-level administrative unit observations |
| **Rows (total)** | 1,345 |
| **Columns** | 14 (8 numeric, 6 categorical, 0 datetime) |
| **Train split** | 1,076 rows |
| **Test split** | 269 rows |
| **Geographic scope** | DZA |
| **Publisher** | UNHCR - The UN Refugee Agency |
| **HDX last updated** | 2026-02-25 |

---

## Variables

**Geographic** — `year` (range 1981.0–2025.0), `country_of_origin_code` (DZA), `country_of_asylum_code` (ITA, SWE, GBR), `country_of_origin_name` (Algeria), `country_of_asylum_name` (Italy, Sweden, United Kingdom of Great Britain and Northern Ireland) and 4 others.

**Identifier / Metadata** — `refugees` (range 0.0–20000.0), `esa_source` (HDX), `esa_processed` (2026-04-05).

**Other** — `other_people_in_need_of_international_protection` (range 0.0–0.0), `others_of_concern_to_unhcr` (range 0.0–110.0).

---

## Quick Start

```python
from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-unhcr-population-data-for-dza")
train = ds["train"].to_pandas()
test = ds["test"].to_pandas()

print(train.shape)
train.head()
```

---

## Schema

| Column | Type | Null % | Range / Sample Values |
|---|---|---|---|
| `year` | int64 | 0.0% | 1981.0 – 2025.0 (mean 2010.8862) |
| `country_of_origin_code` | object | 0.0% | DZA |
| `country_of_asylum_code` | object | 0.0% | ITA, SWE, GBR |
| `country_of_origin_name` | object | 0.0% | Algeria |
| `country_of_asylum_name` | object | 0.0% | Italy, Sweden, United Kingdom of Great Britain and Northern Ireland |
| `refugees` | int64 | 0.0% | 0.0 – 20000.0 (mean 170.0372) |
| `asylum_seekers` | int64 | 0.0% | 0.0 – 5125.0 (mean 98.0372) |
| `other_people_in_need_of_international_protection` | int64 | 0.0% | 0.0 – 0.0 (mean 0.0) |
| `internally_displaced_persons` | int64 | 0.0% | 0.0 – 0.0 (mean 0.0) |
| `stateless_persons` | int64 | 0.0% | 0.0 – 0.0 (mean 0.0) |
| `others_of_concern_to_unhcr` | int64 | 0.0% | 0.0 – 110.0 (mean 0.5346) |
| `host_community` | int64 | 0.0% | 0.0 – 0.0 (mean 0.0) |
| `esa_source` | object | 0.0% | HDX |
| `esa_processed` | object | 0.0% | 2026-04-05 |

---

## Numeric Summary

| Column | Min | Max | Mean | Median |
|---|---|---|---|---|
| `year` | 1981.0 | 2025.0 | 2010.8862 | 2011.0 |
| `refugees` | 0.0 | 20000.0 | 170.0372 | 10.0 |
| `asylum_seekers` | 0.0 | 5125.0 | 98.0372 | 5.0 |
| `other_people_in_need_of_international_protection` | 0.0 | 0.0 | 0.0 | 0.0 |
| `internally_displaced_persons` | 0.0 | 0.0 | 0.0 | 0.0 |
| `stateless_persons` | 0.0 | 0.0 | 0.0 | 0.0 |
| `others_of_concern_to_unhcr` | 0.0 | 110.0 | 0.5346 | 0.0 |
| `host_community` | 0.0 | 0.0 | 0.0 | 0.0 |

---

## 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`. 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 UNHCR - The UN Refugee Agency 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](https://data.humdata.org/dataset/unhcr-population-data-for-dza) for the publisher's own methodology notes and caveats.

---

## Citation

```bibtex
@dataset{hdx_africa_unhcr_population_data_for_dza,
title = {Algeria - Data on forcibly displaced populations and stateless persons},
author = {UNHCR - The UN Refugee Agency},
year = {2026},
url = {https://data.humdata.org/dataset/unhcr-population-data-for-dza},
note = {Repackaged for machine learning by Electric Sheep Africa (https://huggingface.co/electricsheepafrica)}
}
```

---

*[Electric Sheep Africa](https://huggingface.co/electricsheepafrica) — Africa's ML dataset infrastructure. Lagos, Nigeria.*

注释创建者：
- 无注释
语言生成方式：
- 现有资源采集
语言：
- 英语
许可协议：知识共享署名4.0协议（CC BY 4.0）
多语言属性：
- 单语言
数据规模区间：
- 1000条 < n < 10000条
源数据集：
- 原创数据集
任务类别：
- 表格分类
- 表格回归
任务子类别：
- 无
标签：
- 非洲
- 人道主义
- HDX
- Electric Sheep Africa
- 寻求庇护者
- 国内流离失所者（internally-displaced-persons, IDP）
- 人口
- 难民
- 无国籍人士
- DZA
美观名称："阿尔及利亚——被迫流离失所人口与无国籍人士数据"
数据集信息：
划分方式：
- 名称：训练集
样本数：1076
- 名称：测试集
样本数：269

# 阿尔及利亚——被迫流离失所人口与无国籍人士数据

**发布方：** 联合国难民署（UNHCR - The UN Refugee Agency） · **来源：** [HDX](https://data.humdata.org/dataset/unhcr-population-data-for-dza) · **许可协议：** `知识共享署名政府间组织协议（CC BY-IGO）` · **更新时间：** 2026-02-25

---

## 摘要

本数据集由联合国难民署整理，涵盖70余年统计活动中关于被迫流离失所人口与无国籍人士的相关信息。数据包含庇护国与原籍国信息，可获取年末人口总数、人口结构、庇护申请、审批结果以及为难民和国内流离失所者提供的解决方案（重新安置、入籍或遣返）等专项资源。

本数据集的每一行代表一级行政单元的观测值。数据最后于2026-02-25在HDX平台更新。地理覆盖范围：**DZA（阿尔及利亚）**。

*本数据集由[Electric Sheep Africa](https://huggingface.co/electricsheepafrica)整理为适合机器学习的Parquet格式。*

---

## 数据集特征

| | |
|---|---|
| **领域** | 人口与人口统计学 |
| **观测单元** | 一级行政单元观测值 |
| **总行数** | 1345 |
| **列数** | 14列（8个数值型，6个分类型，0个日期时间型） |
| **训练集划分** | 1076行 |
| **测试集划分** | 269行 |
| **地理覆盖范围** | DZA（阿尔及利亚） |
| **发布方** | 联合国难民署（UNHCR - The UN Refugee Agency） |
| **HDX平台最后更新时间** | 2026-02-25 |

---

## 变量说明

**地理类变量** — `year`（取值范围1981.0–2025.0）、`country_of_origin_code`（DZA，阿尔及利亚国家代码）、`country_of_asylum_code`（ITA、SWE、GBR，庇护国代码）、`country_of_origin_name`（阿尔及利亚）、`country_of_asylum_name`（意大利、瑞典、大不列颠及北爱尔兰联合王国），另有4个附加变量。

**标识符/元数据类变量** — `refugees`（取值范围0.0–20000.0）、`esa_source`（HDX）、`esa_processed`（2026-04-05）。

**其他类变量** — `other_people_in_need_of_international_protection`（取值范围0.0–0.0）、`others_of_concern_to_unhcr`（取值范围0.0–110.0）。

---

## 快速上手

python
from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-unhcr-population-data-for-dza")
train = ds["train"].to_pandas()
test = ds["test"].to_pandas()

print(train.shape)
train.head()

---

## 数据结构

| 列名 | 数据类型 | 缺失率 | 取值范围/示例值 |
|---|---|---|---|
| `year` | int64 | 0.0% | 1981.0 – 2025.0（均值2010.8862） |
| `country_of_origin_code` | object | 0.0% | DZA |
| `country_of_asylum_code` | object | 0.0% | ITA、SWE、GBR |
| `country_of_origin_name` | object | 0.0% | 阿尔及利亚 |
| `country_of_asylum_name` | object | 0.0% | 意大利、瑞典、大不列颠及北爱尔兰联合王国 |
| `refugees` | int64 | 0.0% | 0.0 – 20000.0（均值170.0372） |
| `asylum_seekers` | int64 | 0.0% | 0.0 – 5125.0（均值98.0372） |
| `other_people_in_need_of_international_protection` | int64 | 0.0% | 0.0 – 0.0（均值0.0） |
| `internally_displaced_persons` | int64 | 0.0% | 0.0 – 0.0（均值0.0） |
| `stateless_persons` | int64 | 0.0% | 0.0 – 0.0（均值0.0） |
| `others_of_concern_to_unhcr` | int64 | 0.0% | 0.0 – 110.0（均值0.5346） |
| `host_community` | int64 | 0.0% | 0.0 – 0.0（均值0.0） |
| `esa_source` | object | 0.0% | HDX |
| `esa_processed` | object | 0.0% | 2026-04-05 |

---

## 数值型变量统计摘要

| 列名 | 最小值 | 最大值 | 均值 | 中位数 |
|---|---|---|---|---|
| `year` | 1981.0 | 2025.0 | 2010.8862 | 2011.0 |
| `refugees` | 0.0 | 20000.0 | 170.0372 | 10.0 |
| `asylum_seekers` | 0.0 | 5125.0 | 98.0372 | 5.0 |
| `other_people_in_need_of_international_protection` | 0.0 | 0.0 | 0.0 | 0.0 |
| `internally_displaced_persons` | 0.0 | 0.0 | 0.0 | 0.0 |
| `stateless_persons` | 0.0 | 0.0 | 0.0 | 0.0 |
| `others_of_concern_to_unhcr` | 0.0 | 110.0 | 0.5346 | 0.0 |
| `host_community` | 0.0 | 0.0 | 0.0 | 0.0 |

---

## 数据整理流程

原始数据通过CKAN API从HDX平台下载，并转换为Parquet格式。列名统一转换为小写并标准化为蛇形命名法（snake_case）。常见缺失值标记（`N/A`、`null`、`none`、`-`、`unknown`、`no data`、`#N/A`）被统一替换为`NaN`。本数据集使用固定随机种子（42）按照80/20的比例划分为训练集与测试集，并保存为Snappy压缩的Parquet格式文件。

---

## 局限性说明

- 本数据来源于联合国难民署，尚未由Electric Sheep Africa进行独立验证。
- 自动化清洗流程无法修正原始数据收集中的错报值、定义不一致或抽样偏差问题。
- 如需了解发布方的方法论说明与注意事项，请参阅[原始HDX数据集页面](https://data.humdata.org/dataset/unhcr-population-data-for-dza)。

---

## 引用格式

bibtex
@dataset{hdx_africa_unhcr_population_data_for_dza,
title = {阿尔及利亚——被迫流离失所人口与无国籍人士数据},
author = {UNHCR - The UN Refugee Agency},
year = {2026},
url = {https://data.humdata.org/dataset/unhcr-population-data-for-dza},
note = {Repackaged for machine learning by Electric Sheep Africa (https://huggingface.co/electricsheepafrica)}
}

---

*[Electric Sheep Africa](https://huggingface.co/electricsheepafrica)——非洲机器学习数据集基础设施。尼日利亚拉各斯。*