Datasets:
File size: 1,770 Bytes
506b4a3 32a8f8a 506b4a3 32a8f8a | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 | ---
license: cc-by-4.0
language:
- en
tags:
- asia
- faostat
- agriculture
- food-security
- tabular
pretty_name: "Commodity Balances (non-food) (2010-) — Asia (FAOSTAT)"
---
# Commodity Balances (non-food) (2010-) — Asia
**Source:** [FAOSTAT — Commodity Balances (non-food) (2010-)](https://www.fao.org/faostat/en/#data/CB)
**Domain code:** `CB`
**Publisher:** Food and Agriculture Organization of the United Nations (FAO)
**Coverage:** 42 Asian countries · 2010–2023 · 10,666 rows
**Items:** 6 · **Elements:** 6
## About
FAOSTAT is the world's largest and most comprehensive statistical database on food, agriculture, fisheries,
forestry, and rural development. This dataset contains the **Commodity Balances (non-food) (2010-)** 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-cb")
df = ds["train"].to_pandas()
```
## Citation
```
@misc{faostat_cb_asia,
title = {Commodity Balances (non-food) (2010-) — Asia},
author = {Food and Agriculture Organization of the United Nations},
year = {2023},
url = {https://www.fao.org/faostat/en/#data/CB},
note = {Repackaged by Electric Sheep Asia}
}
```
## License
[CC BY 4.0](https://creativecommons.org/licenses/by/4.0/) — FAO open data.
|