electricsheepafrica/africa-world-bank-social-protection-and-labor-indicators-for-chad

---
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:
- other
task_ids: []
tags:
- africa
- humanitarian
- hdx
- electric-sheep-africa
- indicators
- socioeconomics
- tcd
pretty_name: "Chad - Social Protection and Labor"
dataset_info:
splits:
- name: train
num_examples: 3057
- name: test
num_examples: 764
---

# Chad - Social Protection and Labor

**Publisher:** World Bank Group · **Source:** [HDX](https://data.humdata.org/dataset/world-bank-social-protection-and-labor-indicators-for-chad) · **License:** `cc-by` · **Updated:** 2026-03-27

---

## Abstract

Contains data from the World Bank's [data portal](http://data.worldbank.org/). There is also a [consolidated country dataset](https://data.humdata.org/dataset/world-bank-combined-indicators-for-chad) on HDX.

The supply of labor available in an economy includes people who are employed, those who are unemployed but seeking work, and first-time job-seekers. Not everyone who works is included: unpaid workers, family workers, and students are often omitted, while some countries do not count members of the armed forces. Data on labor and employment are compiled by the International Labour Organization (ILO) from labor force surveys, censuses, establishment censuses and surveys, and administrative records such as employment exchange registers and unemployment insurance schemes.

Each row in this dataset represents country-level aggregates. Data was last updated on HDX on 2026-03-27. Geographic scope: **TCD**.

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

---

## Dataset Characteristics

| | |
|---|---|
| **Domain** | Humanitarian and development data |
| **Unit of observation** | Country-level aggregates |
| **Rows (total)** | 3,822 |
| **Columns** | 8 (2 numeric, 6 categorical, 0 datetime) |
| **Train split** | 3,057 rows |
| **Test split** | 764 rows |
| **Geographic scope** | TCD |
| **Publisher** | World Bank Group |
| **HDX last updated** | 2026-03-27 |

---

## Variables

**Geographic** — `country_name` (Chad), `country_iso3` (TCD), `year` (range 1972.0–2025.0).

**Outcome / Measurement** — `value` (range -0.2025–6746477.0).

**Identifier / Metadata** — `indicator_name` (Labor force participation rate, female (% of female population ages 15+) (modeled ILO estimate), Labor force, female (% of total labor force), Labor force participation rate, total (% of total population ages 15-64) (modeled ILO estimate)), `indicator_code` (SL.TLF.CACT.FE.ZS, SL.TLF.TOTL.FE.ZS, SL.TLF.ACTI.ZS), `esa_source` (HDX), `esa_processed` (2026-04-15).

---

## Quick Start

```python
from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-world-bank-social-protection-and-labor-indicators-for-chad")
train = ds["train"].to_pandas()
test = ds["test"].to_pandas()

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

---

## Schema

| Column | Type | Null % | Range / Sample Values |
|---|---|---|---|
| `country_name` | object | 0.0% | Chad |
| `country_iso3` | object | 0.0% | TCD |
| `year` | int64 | 0.0% | 1972.0 – 2025.0 (mean 2012.3127) |
| `indicator_name` | object | 0.0% | Labor force participation rate, female (% of female population ages 15+) (modeled ILO estimate), Labor force, female (% of total labor force), Labor force participation rate, total (% of total population ages 15-64) (modeled ILO estimate) |
| `indicator_code` | object | 0.0% | SL.TLF.CACT.FE.ZS, SL.TLF.TOTL.FE.ZS, SL.TLF.ACTI.ZS |
| `value` | float64 | 0.0% | -0.2025 – 6746477.0 (mean 77477.1191) |
| `esa_source` | object | 0.0% | HDX |
| `esa_processed` | object | 0.0% | 2026-04-15 |

---

## Numeric Summary

| Column | Min | Max | Mean | Median |
|---|---|---|---|---|
| `year` | 1972.0 | 2025.0 | 2012.3127 | 2015.0 |
| `value` | -0.2025 | 6746477.0 | 77477.1191 | 16.611 |

---

## 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 World Bank Group 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/world-bank-social-protection-and-labor-indicators-for-chad) for the publisher's own methodology notes and caveats.

---

## Citation

```bibtex
@dataset{hdx_africa_world_bank_social_protection_and_labor_indicators_for_chad,
title = {Chad - Social Protection and Labor},
author = {World Bank Group},
year = {2026},
url = {https://data.humdata.org/dataset/world-bank-social-protection-and-labor-indicators-for-chad},
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.*

annotations_creators:
- 无标注（no-annotation）
language_creators:
- 公开数据源获取
language:
- 英语（en）
license: 知识共享署名4.0国际许可协议（cc-by-4.0）
multilinguality:
- 单语言
size_categories:
- 1000<n<10000
source_datasets:
- 原创数据集
task_categories:
- 其他
task_ids: []
tags:
- 非洲（africa）
- 人道主义（humanitarian）
- HDX
- 电羊非洲（electric-sheep-africa）
- 指标（indicators）
- 社会经济（socioeconomics）
- TCD
pretty_name: "乍得——社会保护与劳工"
dataset_info:
splits:
- name: train
num_examples: 3057
- name: test
num_examples: 764

# 乍得——社会保护与劳工

**发布方**：世界银行集团（World Bank Group） · **数据源**：[HDX](https://data.humdata.org/dataset/world-bank-social-protection-and-labor-indicators-for-chad) · **许可协议**：`cc-by` · **更新时间**：2026-03-27

---

## 摘要

本数据集包含来自世界银行[数据门户](http://data.worldbank.org/)的相关数据。HDX平台上还提供了一份[整合型国家数据集](https://data.humdata.org/dataset/world-bank-combined-indicators-for-chad)。

经济体中的劳动力供给涵盖已就业人员、失业且正在求职的人员以及首次求职者群体。并非所有劳动者均被纳入统计范畴：无酬劳动者、家庭帮工与学生常被排除在外，部分国家还未将军人纳入统计范围。劳动力与就业数据由国际劳工组织（International Labour Organization, ILO）基于劳动力调查、人口普查、企业普查与调查，以及就业登记处、失业保险计划等行政记录汇编而成。

本数据集的每一行均代表国家级汇总数据。本数据集在HDX平台的最后更新时间为2026-03-27。地理覆盖范围：**乍得（TCD）**。

*本数据集已由[电羊非洲（Electric Sheep Africa）](https://huggingface.co/electricsheepafrica)整理为适用于机器学习的Parquet格式。*

---

## 数据集特征

| | |
|---|---|
| **领域** | 人道主义与发展数据 |
| **观测单元** | 国家级汇总数据 |
| **总数据行数** | 3,822 |
| **列数** | 8（2个数值型列、6个分类型列、0个日期时间型列） |
| **训练集划分规模** | 3,057行 |
| **测试集划分规模** | 764行 |
| **地理覆盖范围** | TCD |
| **发布方** | 世界银行集团 |
| **HDX平台最后更新时间** | 2026-03-27 |

---

## 变量说明

**地理类变量** — `country_name`（国家名称：乍得）、`country_iso3`（国家ISO3代码：TCD）、`year`（年份范围：1972.0–2025.0）。

**结果/测量类变量** — `value`（数值范围：-0.2025–6746477.0）。

**标识符/元数据类变量** — `indicator_name`（指标名称：女性劳动力参与率（%，15岁及以上女性人口，国际劳工组织估算值）、女性劳动力占总劳动力比重（%）、总劳动力参与率（%，15-64岁总人口，国际劳工组织估算值））、`indicator_code`（指标代码：SL.TLF.CACT.FE.ZS、SL.TLF.TOTL.FE.ZS、SL.TLF.ACTI.ZS）、`esa_source`（数据来源：HDX）、`esa_processed`（数据处理时间：2026-04-15）。

---

## 快速上手

python
from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-world-bank-social-protection-and-labor-indicators-for-chad")
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 | 空值占比 | 取值范围/示例值 |
|---|---|---|---|
| `country_name` | 字符串型 | 0.0% | 乍得 |
| `country_iso3` | 字符串型 | 0.0% | TCD |
| `year` | 64位整数型 | 0.0% | 1972.0 – 2025.0（均值：2012.3127） |
| `indicator_name` | 字符串型 | 0.0% | 女性劳动力参与率（%，15岁及以上女性人口，国际劳工组织估算值）、女性劳动力占总劳动力比重（%）、总劳动力参与率（%，15-64岁总人口，国际劳工组织估算值） |
| `indicator_code` | 字符串型 | 0.0% | SL.TLF.CACT.FE.ZS、SL.TLF.TOTL.FE.ZS、SL.TLF.ACTI.ZS |
| `value` | 64位浮点型 | 0.0% | -0.2025 – 6746477.0（均值：77477.1191） |
| `esa_source` | 字符串型 | 0.0% | HDX |
| `esa_processed` | 字符串型 | 0.0% | 2026-04-15 |

---

## 数值型变量统计摘要

| 列名 | 最小值 | 最大值 | 均值 | 中位数 |
|---|---|---|---|---|
| `year` | 1972.0 | 2025.0 | 2012.3127 | 2015.0 |
| `value` | -0.2025 | 6746477.0 | 77477.1191 | 16.611 |

---

## 数据整理流程

原始数据通过CKAN应用程序接口从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`。本数据集以固定随机种子（42）按照80/20的比例划分为训练集与测试集，并以Snappy压缩格式的Parquet文件保存。

---

## 数据集局限性

- 数据源自世界银行集团，未经过电羊非洲（Electric Sheep Africa）的独立验证。
- 自动化清洗流程无法修正原始数据收集中的错报、定义不一致或抽样偏差问题。
- 请查阅[HDX原始数据集页面](https://data.humdata.org/dataset/world-bank-social-protection-and-labor-indicators-for-chad)获取发布方提供的官方方法说明与注意事项。

---

## 引用格式

bibtex
@dataset{hdx_africa_world_bank_social_protection_and_labor_indicators_for_chad,
title = {Chad - Social Protection and Labor},
author = {World Bank Group},
year = {2026},
url = {https://data.humdata.org/dataset/world-bank-social-protection-and-labor-indicators-for-chad},
note = {Repackaged for machine learning by Electric Sheep Africa (https://huggingface.co/electricsheepafrica)}
}

---

*[电羊非洲（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。*