electricsheepafrica/africa-world-bank-economy-and-growth-indicators-for-south-sudan

---
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
- ssd
pretty_name: "South Sudan - Economy and Growth"
dataset_info:
splits:
- name: train
num_examples: 1283
- name: test
num_examples: 320
---

# South Sudan - Economy and Growth

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

*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)** | 1,604 |
| **Columns** | 8 (2 numeric, 6 categorical, 0 datetime) |
| **Train split** | 1,283 rows |
| **Test split** | 320 rows |
| **Geographic scope** | SSD |
| **Publisher** | World Bank Group |
| **HDX last updated** | 2026-03-27 |

---

## Variables

**Geographic** — `country_name` (South Sudan), `country_iso3` (SSD), `year` (range 1970.0–2024.0).

**Outcome / Measurement** — `value` (range -19001551100.0–71361380400.0).

**Identifier / Metadata** — `indicator_name` (Adjusted savings: education expenditure (% of GNI), Adjusted savings: mineral depletion (current US$), Adjusted savings: carbon dioxide damage (current US$)), `indicator_code` (NY.ADJ.AEDU.GN.ZS, NY.ADJ.DMIN.CD, NY.ADJ.DCO2.CD), `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-south-sudan")
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% | South Sudan |
| `country_iso3` | object | 0.0% | SSD |
| `year` | int64 | 0.0% | 1970.0 – 2024.0 (mean 2012.682) |
| `indicator_name` | object | 0.0% | Adjusted savings: education expenditure (% of GNI), Adjusted savings: mineral depletion (current US$), Adjusted savings: carbon dioxide damage (current US$) |
| `indicator_code` | object | 0.0% | NY.ADJ.AEDU.GN.ZS, NY.ADJ.DMIN.CD, NY.ADJ.DCO2.CD |
| `value` | float64 | 0.0% | -19001551100.0 – 71361380400.0 (mean 3530401172.2386) |
| `esa_source` | object | 0.0% | HDX |
| `esa_processed` | object | 0.0% | 2026-04-10 |

---

## Numeric Summary

| Column | Min | Max | Mean | Median |
|---|---|---|---|---|
| `year` | 1970.0 | 2024.0 | 2012.682 | 2013.0 |
| `value` | -19001551100.0 | 71361380400.0 | 3530401172.2386 | 12866300.0 |

---

## 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 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-south-sudan) for the publisher's own methodology notes and caveats.

---

## Citation

```bibtex
@dataset{hdx_africa_world_bank_economy_and_growth_indicators_for_south_sudan,
title = {South Sudan - Economy and Growth},
author = {World Bank Group},
year = {2026},
url = {https://data.humdata.org/dataset/world-bank-economy-and-growth-indicators-for-south-sudan},
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
language_creators:
- 采集自现有资源
language:
- 英语
license: CC-BY-4.0
multilinguality:
- 单语言
size_categories:
- 1000 < 样本数 < 10000
source_datasets:
- 原始数据集
task_categories:
- 表格回归
task_ids: []
tags:
- 非洲
- 人道主义
- HDX
- 电子羊非洲（Electric Sheep Africa）
- 经济学
- 指标
- SSD
pretty_name: "南苏丹——经济与增长"
dataset_info:
splits:
- name: train
num_examples: 1283
- name: test
num_examples: 320
---

# 南苏丹——经济与增长

**发布方：世界银行集团 · **来源：[人道主义数据交换平台（HDX）](https://data.humdata.org/dataset/world-bank-economy-and-growth-indicators-for-south-sudan) · **授权协议：**`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[整合后的国家数据集](https://data.humdata.org/dataset/world-bank-combined-indicators-for-south-sudan)。

经济增长是经济发展的核心议题。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经济增长刺激方案，但数据可帮助政策制定者更好地了解本国经济状况，为改善经济状况的相关工作提供决策指引。本数据集涵盖经济增长相关衡量指标，如国内生产总值（GDP, Gross Domestic Product）、国民总收入（GNI, Gross National Income）；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。

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年3月27日。地理覆盖范围：**SSD（南苏丹ISO 3代码）**。

*本数据集已由[电子羊非洲（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** | 人道主义与发展数据 |
| **观测单元** | 国家级汇总数据 |
| **总行数** | 1,604 |
| **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** | 1,283行 |
| **测试集划分** | 320行 |
| **地理覆盖范围** | SSD |
| **发布方** | 世界银行集团 |
| **HDX最后更新时间** | 2026-03-27 |

---

## 变量

**地理相关变量** — `country_name`（国家名称：南苏丹）、`country_iso3`（国家ISO3代码：SSD）、`year`（年份：取值范围1970.0–2024.0）。

**结果/测量变量** — `value`（指标数值：取值范围-19001551100.0–71361380400.0）。

**标识符/元数据变量** — `indicator_name`（指标名称：调整后储蓄：教育支出（占GNI百分比）、调整后储蓄：矿产损耗（当前美元计价）、调整后储蓄：二氧化碳损害（当前美元计价））、`indicator_code`（指标代码：NY.ADJ.AEDU.GN.ZS、NY.ADJ.DMIN.CD、NY.ADJ.DCO2.CD）、`esa_source`（数据来源：HDX）、`esa_processed`（数据处理时间：2026-04-10）。

---

## 快速入门

python
from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-world-bank-economy-and-growth-indicators-for-south-sudan")
train = ds["train"].to_pandas()
test = ds["test"].to_pandas()

print(train.shape)
train.head()

---

## 数据结构（Schema）

| 列名 | 数据类型 | 缺失率 | 范围/示例值 |
|---|---|---|---|
| `country_name` | 字符型（object） | 0.0% | 南苏丹 |
| `country_iso3` | 字符型 | 0.0% | SSD |
| `year` | 64位整数型（int64） | 0.0% | 1970.0 – 2024.0（均值2012.682） |
| `indicator_name` | 字符型 | 0.0% | 调整后储蓄：教育支出（占GNI百分比）、调整后储蓄：矿产损耗（当前美元计价）、调整后储蓄：二氧化碳损害（当前美元计价） |
| `indicator_code` | 字符型 | 0.0% | NY.ADJ.AEDU.GN.ZS、NY.ADJ.DMIN.CD、NY.ADJ.DCO2.CD |
| `value` | 64位浮点型（float64） | 0.0% | -19001551100.0 – 71361380400.0（均值3530401172.2386） |
| `esa_source` | 字符型 | 0.0% | HDX |
| `esa_processed` | 字符型 | 0.0% | 2026-04-10 |

---

## 数值型统计汇总

| 列名 | 最小值 | 最大值 | 均值 | 中位数 |
|---|---|---|---|---|
| `year` | 1970.0 | 2024.0 | 2012.682 | 2013.0 |
| `value` | -19001551100.0 | 71361380400.0 | 3530401172.2386 | 12866300.0 |

---

## 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。将常见的缺失值标记（`N/A`、`null`、`none`、`-`、`unknown`、`no data`、`#N/A`）统一替换为`NaN`。本数据集采用固定随机种子（42）按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

- 本数据集源自世界银行集团，未由电子羊非洲（ESA）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、定义不一致或采样偏差问题。
- 请参阅[HDX原始数据集页面](https://data.humdata.org/dataset/world-bank-economy-and-growth-indicators-for-south-sudan)查看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_south_sudan,
title = {南苏丹——经济与增长},
author = {世界银行集团},
year = {2026},
url = {https://data.humdata.org/dataset/world-bank-economy-and-growth-indicators-for-south-sudan},
note = {由电子羊非洲（Electric Sheep Africa，https://huggingface.co/electricsheepafrica）重新打包为机器学习可用格式}
}

---

*[电子羊非洲（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。*