electricsheepafrica/africa-world-bank-economy-and-growth-indicators-for-somalia-fed-rep

---
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-regression
task_ids: []
tags:
- africa
- humanitarian
- hdx
- electric-sheep-africa
- economics
- indicators
- som
pretty_name: "Somalia, Fed. Rep. - Economy and Growth"
dataset_info:
splits:
- name: train
num_examples: 4628
- name: test
num_examples: 1157
---

# Somalia, Fed. Rep. - Economy and Growth

**Publisher:** World Bank Group · **Source:** [HDX](https://data.humdata.org/dataset/world-bank-economy-and-growth-indicators-for-somalia-fed-rep) · **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-somalia-fed-rep) on HDX.

Economic growth is central to economic development. When national income grows, real people benefit. While there is no known formula for stimulating economic growth, data can help policy-makers better understand their countries' economic situations and guide any work toward improvement. Data here covers measures of economic growth, such as gross domestic product (GDP) and gross national income (GNI). It also includes indicators representing factors known to be relevant to economic growth, such as capital stock, employment, investment, savings, consumption, government spending, imports, and exports.

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

*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)** | 5,786 |
| **Columns** | 8 (2 numeric, 6 categorical, 0 datetime) |
| **Train split** | 4,628 rows |
| **Test split** | 1,157 rows |
| **Geographic scope** | SOM |
| **Publisher** | World Bank Group |
| **HDX last updated** | 2026-03-27 |

---

## Variables

**Geographic** — `country_name` (Somalia, Fed. Rep.), `country_iso3` (SOM), `year` (range 1960.0–2024.0).

**Outcome / Measurement** — `value` (range -228485486580000.0–564971558190000.0).

**Identifier / Metadata** — `indicator_name` (GNI (current US$), GDP deflator (base year varies by country), GDP (constant 2015 US$)), `indicator_code` (NY.GNP.MKTP.CD, NY.GDP.DEFL.ZS, NY.GDP.MKTP.KD), `esa_source` (HDX), `esa_processed` (2026-04-10).

---

## Quick Start

```python
from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-world-bank-economy-and-growth-indicators-for-somalia-fed-rep")
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% | Somalia, Fed. Rep. |
| `country_iso3` | object | 0.0% | SOM |
| `year` | int64 | 0.0% | 1960.0 – 2024.0 (mean 1992.0807) |
| `indicator_name` | object | 0.0% | GNI (current US$), GDP deflator (base year varies by country), GDP (constant 2015 US$) |
| `indicator_code` | object | 0.0% | NY.GNP.MKTP.CD, NY.GDP.DEFL.ZS, NY.GDP.MKTP.KD |
| `value` | float64 | 0.0% | -228485486580000.0 – 564971558190000.0 (mean 10169827531122.62) |
| `esa_source` | object | 0.0% | HDX |
| `esa_processed` | object | 0.0% | 2026-04-10 |

---

## Numeric Summary

| Column | Min | Max | Mean | Median |
|---|---|---|---|---|
| `year` | 1960.0 | 2024.0 | 1992.0807 | 1988.0 |
| `value` | -228485486580000.0 | 564971558190000.0 | 10169827531122.62 | 7785003.8471 |

---

## 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-economy-and-growth-indicators-for-somalia-fed-rep) for the publisher's own methodology notes and caveats.

---

## Citation

```bibtex
@dataset{hdx_africa_world_bank_economy_and_growth_indicators_for_somalia_fed_rep,
title = {Somalia, Fed. Rep. - Economy and Growth},
author = {World Bank Group},
year = {2026},
url = {https://data.humdata.org/dataset/world-bank-economy-and-growth-indicators-for-somalia-fed-rep},
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:
- 无注释（no-annotation）
language_creators:
- 现有公开资源采集（found）
language:
- 英语
license: 知识共享署名4.0（CC BY 4.0）
multilinguality:
- 单语言
size_categories:
- 1K<n<10K
source_datasets:
- 原始数据集
task_categories:
- 表格回归
task_ids: []
tags:
- 非洲
- 人道主义
- 人道主义数据交换（HDX）
- 非洲电羊（Electric Sheep Africa）
- 经济学
- 指标
- SOM
pretty_name: "索马里联邦共和国——经济与增长"
dataset_info:
splits:
- name: 训练集（train）
num_examples: 4628
- name: 测试集（test）
num_examples: 1157

# 索马里联邦共和国——经济与增长

**发布方：世界银行集团（World Bank Group）** · **来源：[人道主义数据交换（HDX）](https://data.humdata.org/dataset/world-bank-economy-and-growth-indicators-for-somalia-fed-rep)** · **许可协议：`知识共享署名（CC BY）`** · **更新时间：2026-03-27**

---

## 摘要

本数据集包含源自世界银行集团[数据门户（World Bank Data Portal）](http://data.worldbank.org/)的相关数据。此外，人道主义数据交换（HDX）平台上还提供了一份整合后的国家数据集[索马里联邦共和国世界银行综合指标数据集](https://data.humdata.org/dataset/world-bank-combined-indicators-for-somalia-fed-rep)。

经济增长是经济发展的核心要义。当国民收入增长时，普通民众将切实获益。尽管目前尚无公认的刺激经济增长的通用公式，但数据可帮助政策制定者更深入地了解本国经济状况，为推动经济改善提供指引。本数据集涵盖经济增长相关衡量指标，例如国内生产总值（GDP）与国民总收入（GNI）；同时包含与经济增长相关的各类影响因素指标，如资本存量、就业、投资、储蓄、消费、政府支出、进口与出口等。

本数据集的每一行均代表国家层面的汇总数据。本数据集在人道主义数据交换（HDX）平台的最后更新时间为2026-03-27。地理覆盖范围：**SOM**。

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

---

## 数据集特征

| | |
|---|---|
| **数据领域** | 人道主义与发展数据 |
| **观测单元** | 国家层面汇总数据 |
| **总样本行数** | 5,786 |
| **列数** | 8列（2个数值型、6个分类型、0个日期时间型） |
| **训练集划分** | 4,628行 |
| **测试集划分** | 1,157行 |
| **地理覆盖范围** | SOM |
| **发布方** | 世界银行集团（World Bank Group） |
| **HDX平台最后更新时间** | 2026-03-27 |

---

## 变量说明

**地理类变量**：`country_name`（索马里联邦共和国）、`country_iso3`（SOM）、`year`（取值范围1960.0–2024.0）。

**结果/测量类变量**：`value`（取值范围-228485486580000.0–564971558190000.0）。

**标识符/元数据类变量**：`indicator_name`（当前美元计价国民总收入（GNI）、GDP平减指数（基期随国家而异）、2015年不变价美元计价GDP）、`indicator_code`（NY.GNP.MKTP.CD、NY.GDP.DEFL.ZS、NY.GDP.MKTP.KD）、`esa_source`（HDX）、`esa_processed`（2026-04-10）。

---

## 快速上手

python
from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-world-bank-economy-and-growth-indicators-for-somalia-fed-rep")
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` | 对象类型（object） | 0.0% | 索马里联邦共和国 |
| `country_iso3` | 对象类型（object） | 0.0% | SOM |
| `year` | 64位整型（int64） | 0.0% | 1960.0 – 2024.0（均值1992.0807） |
| `indicator_name` | 对象类型（object） | 0.0% | 当前美元计价国民总收入（GNI）、GDP平减指数（基期随国家而异）、2015年不变价美元计价GDP |
| `indicator_code` | 对象类型（object） | 0.0% | NY.GNP.MKTP.CD、NY.GDP.DEFL.ZS、NY.GDP.MKTP.KD |
| `value` | 64位浮点型（float64） | 0.0% | -228485486580000.0 – 564971558190000.0（均值10169827531122.62） |
| `esa_source` | 对象类型（object） | 0.0% | HDX |
| `esa_processed` | 对象类型（object） | 0.0% | 2026-04-10 |

---

## 数值型变量统计摘要

| 列名 | 最小值 | 最大值 | 均值 | 中位数 |
|---|---|---|---|---|
| `year` | 1960.0 | 2024.0 | 1992.0807 | 1988.0 |
| `value` | -228485486580000.0 | 564971558190000.0 | 10169827531122.62 | 7785003.8471 |

---

## 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。数据集列名统一转换为小写并遵循蛇形命名法（snake_case）进行标准化。常见的缺失值标记（`N/A`、`null`、`none`、`-`、`unknown`、`no data`、`#N/A`）被统一替换为`NaN`。本数据集以80/20的比例划分为训练集与测试集，划分过程使用固定随机种子（42），最终以Snappy压缩的Parquet格式存储。

---

## 数据集局限性

- 数据源自世界银行集团，未经过非洲电羊（Electric Sheep Africa）的独立验证。
- 自动化清洗流程无法修正原始数据集中的错报值、定义不一致问题或采样偏差。
- 请参阅[原始HDX数据集页面](https://data.humdata.org/dataset/world-bank-economy-and-growth-indicators-for-somalia-fed-rep)获取发布方提供的方法论说明与相关限制。

---

## 引用格式

bibtex
@dataset{hdx_africa_world_bank_economy_and_growth_indicators_for_somalia_fed_rep,
title = {Somalia, Fed. Rep. - Economy and Growth},
author = {World Bank Group},
year = {2026},
url = {https://data.humdata.org/dataset/world-bank-economy-and-growth-indicators-for-somalia-fed-rep},
note = {Repackaged for machine learning by Electric Sheep Africa (https://huggingface.co/electricsheepafrica)}
}

---

*[非洲电羊（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。*