electricsheepafrica/africa-world-bank-economy-and-growth-indicators-for-uganda

---
annotations_creators:
- no-annotation
language_creators:
- found
language:
- en
license: cc-by-4.0
multilinguality:
- monolingual
size_categories:
- 10K<n<100K
source_datasets:
- original
task_categories:
- tabular-regression
task_ids: []
tags:
- africa
- humanitarian
- hdx
- electric-sheep-africa
- economics
- indicators
- uga
pretty_name: "Uganda - Economy and Growth"
dataset_info:
splits:
- name: train
num_examples: 8968
- name: test
num_examples: 2242
---

# Uganda - Economy and Growth

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

*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)** | 11,210 |
| **Columns** | 8 (2 numeric, 6 categorical, 0 datetime) |
| **Train split** | 8,968 rows |
| **Test split** | 2,242 rows |
| **Geographic scope** | UGA |
| **Publisher** | World Bank Group |
| **HDX last updated** | 2026-03-27 |

---

## Variables

**Geographic** — `country_name` (Uganda), `country_iso3` (UGA), `year` (range 1960.0–2024.0).

**Outcome / Measurement** — `value` (range -18614006485700.0–203707768229100.0).

**Identifier / Metadata** — `indicator_name` (Agriculture, forestry, and fishing, value added (current US$), Gross capital formation (current LCU), Trade (% of GDP)), `indicator_code` (NV.AGR.TOTL.CD, NE.GDI.TOTL.CN, NE.TRD.GNFS.ZS), `esa_source` (HDX), `esa_processed` (2026-04-09).

---

## Quick Start

```python
from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-world-bank-economy-and-growth-indicators-for-uganda")
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% | Uganda |
| `country_iso3` | object | 0.0% | UGA |
| `year` | int64 | 0.0% | 1960.0 – 2024.0 (mean 1999.2145) |
| `indicator_name` | object | 0.0% | Agriculture, forestry, and fishing, value added (current US$), Gross capital formation (current LCU), Trade (% of GDP) |
| `indicator_code` | object | 0.0% | NV.AGR.TOTL.CD, NE.GDI.TOTL.CN, NE.TRD.GNFS.ZS |
| `value` | float64 | 0.0% | -18614006485700.0 – 203707768229100.0 (mean 4028131023905.5728) |
| `esa_source` | object | 0.0% | HDX |
| `esa_processed` | object | 0.0% | 2026-04-09 |

---

## Numeric Summary

| Column | Min | Max | Mean | Median |
|---|---|---|---|---|
| `year` | 1960.0 | 2024.0 | 1999.2145 | 2001.0 |
| `value` | -18614006485700.0 | 203707768229100.0 | 4028131023905.5728 | 15701068.3869 |

---

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

---

## Citation

```bibtex
@dataset{hdx_africa_world_bank_economy_and_growth_indicators_for_uganda,
title = {Uganda - Economy and Growth},
author = {World Bank Group},
year = {2026},
url = {https://data.humdata.org/dataset/world-bank-economy-and-growth-indicators-for-uganda},
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
language_creators:
- 现有公开数据源
language:
- 英语
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:
- 10000 < 样本数 < 100000
source_datasets:
- 原始数据集
task_categories:
- 表格回归任务
task_ids:
- 无
tags:
- 非洲
- 人道主义
- HDX
- Electric Sheep Africa
- 经济学
- 经济指标
- UGA
pretty_name: "乌干达——经济与增长"
dataset_info:
splits:
- name: 训练集
num_examples: 8968
- name: 测试集
num_examples: 2242

# 乌干达——经济与增长

**发布方**：世界银行集团 · **数据源**：[HDX](https://data.humdata.org/dataset/world-bank-economy-and-growth-indicators-for-uganda) · **许可证**：`CC BY 4.0` · **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[整合后的乌干达国家数据集](https://data.humdata.org/dataset/world-bank-combined-indicators-for-uganda)。

经济增长是经济发展的核心议题。当国民收入增长时，普通民众将从中获益。尽管目前尚无公认的经济增长刺激公式，但数据能够帮助政策制定者更好地了解本国经济状况，并为优化经济政策提供指引。本数据集涵盖经济增长相关指标，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密切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层面的汇总数据。HDX平台上的最新数据更新时间为2026-03-27。地理覆盖范围：**UGA（乌干达）**。

*本数据集已由[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

| | |
|---|---|
| **领域** | 人道主义与发展数据 |
| **观测单元** | 国家层面汇总数据 |
| **总数据行数** | 11210 |
| **字段数** | 8（2个数值型，6个分类型，0个日期型） |
| **训练集划分** | 8968行 |
| **测试集划分** | 2242行 |
| **地理覆盖范围** | UGA（乌干达） |
| **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：乌干达）、`country_iso3`（国家ISO3代码：UGA）、`year`（年份范围：1960.0–2024.0）。

**结果/测度类变量** — `value`（指标数值，取值范围：-18614006485700.0~203707768229100.0）。

**标识符/元数据类变量** — `indicator_name`（指标名称，例如：农业、林业与渔业增加值（当前美元价）、固定资本形成总额（当前当地货币价）、贸易占GDP比重）、`indicator_code`（指标代码：NV.AGR.TOTL.CD、NE.GDI.TOTL.CN、NE.TRD.GNFS.ZS）、`esa_source`（数据来源：HDX）、`esa_processed`（数据处理时间：2026-04-09）。

---

## 快速上手

python
from datasets import load_dataset

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

print(train.shape)
train.head()

---

## 数据结构

| 字段名 | 数据类型 | 空值占比 | 取值范围/示例值 |
|---|---|---|---|
| `country_name` | object | 0.0% | 乌干达 |
| `country_iso3` | object | 0.0% | UGA |
| `year` | int64 | 0.0% | 1960.0 – 2024.0（均值：1999.2145） |
| `indicator_name` | object | 0.0% | 农业、林业与渔业增加值（当前美元价）、固定资本形成总额（当前当地货币价）、贸易占GDP比重 |
| `indicator_code` | object | 0.0% | NV.AGR.TOTL.CD、NE.GDI.TOTL.CN、NE.TRD.GNFS.ZS |
| `value` | float64 | 0.0% | -18614006485700.0 – 203707768229100.0（均值：4028131023905.5728） |
| `esa_source` | object | 0.0% | HDX |
| `esa_processed` | object | 0.0% | 2026-04-09 |

---

## 数值型变量统计摘要

| 字段名 | 最小值 | 最大值 | 均值 | 中位数 |
|---|---|---|---|---|
| `year` | 1960.0 | 2024.0 | 1999.2145 | 2001.0 |
| `value` | -18614006485700.0 | 203707768229100.0 | 4028131023905.5728 | 15701068.3869 |

---

## 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。字段名称统一转换为小写并采用蛇形命名法（snake_case）进行标准化。将常见的缺失值标记（`N/A`、`null`、`none`、`-`、`unknown`、`no data`、`#N/A`）统一替换为`NaN`。采用固定随机种子（42）将数据集按80/20的比例划分为训练集与测试集，并以Snappy压缩格式的Parquet文件存储。

---

## 数据局限性

- 数据源自世界银行集团，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-uganda)获取发布方提供的方法论说明与相关注意事项。

---

## 引用格式

bibtex
@dataset{hdx_africa_world_bank_economy_and_growth_indicators_for_uganda,
title = {Uganda - Economy and Growth},
author = {World Bank Group},
year = {2026},
url = {https://data.humdata.org/dataset/world-bank-economy-and-growth-indicators-for-uganda},
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平台，尼日利亚拉各斯。*