README.md

---
license: cc-by-4.0
language:
- en
tags:
- asia
- faostat
- agriculture
- food-security
- tabular
pretty_name: "Annual population — Asia (FAOSTAT)"
---

# Annual population — Asia

**Source:** [FAOSTAT — Annual population](https://www.fao.org/faostat/en/#data/OA)
**Domain code:** `OA`
**Publisher:** Food and Agriculture Organization of the United Nations (FAO)
**Coverage:** 45 Asian countries · 1950–2100 · 28,010 rows
**Items:** 1 · **Elements:** 5

## About

FAOSTAT is the world's largest and most comprehensive statistical database on food, agriculture, fisheries,
forestry, and rural development. This dataset contains the **Annual population** domain filtered to all available
Asian countries, repackaged in ML-ready Parquet format by [Electric Sheep Asia](https://huggingface.co/electricsheepasia).

## Schema

| Column | Type |
|--------|------|
| `Domain Code` | object |
| `Domain` | object |
| `Area Code` | int64 |
| `Area` | object |
| `Element Code` | int64 |
| `Element` | object |
| `Item Code` | int64 |
| `Item` | object |
| `Year Code` | int64 |
| `Year` | object |
| `Unit` | object |
| `Value` | float64 |

## Usage

```python
from datasets import load_dataset
ds = load_dataset("electricsheepasia/asia-faostat-oa")
df = ds["train"].to_pandas()
```

## Citation

```
@misc{faostat_oa_asia,
  title     = {Annual population — Asia},
  author    = {Food and Agriculture Organization of the United Nations},
  year      = {2100},
  url       = {https://www.fao.org/faostat/en/#data/OA},
  note      = {Repackaged by Electric Sheep Asia}
}
```

## License

[CC BY 4.0](https://creativecommons.org/licenses/by/4.0/) — FAO open data.