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README.md
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- name: SEX
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dtype: string
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- name: Sex
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dtype: string
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- name: TIME_PERIOD
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dtype: int64
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- name: OBS_VALUE
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dtype: float64
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- name: UNIT_MEASURE
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dtype: string
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- name: Unit of measure
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dtype: string
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- name: OBS_STATUS
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dtype: string
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- name: Observation Status
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dtype: string
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- name: OBS_CONF
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dtype: string
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- name: Observation confidentaility
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dtype: string
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- name: OBS_FOOTNOTE
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dtype: string
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- name: DATA_SOURCE
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dtype: string
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- name: TIME_PERIOD_METHOD
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dtype: string
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- name: Time period activity related to when the data are collected
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dtype: string
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- name: COVERAGE_TIME
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dtype: string
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- name: AGE
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dtype: string
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- name: Current age
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dtype: string
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splits:
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- name: train
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num_bytes: 45727
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num_examples: 174
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- name: test
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num_bytes: 11449
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num_examples: 44
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download_size: 22409
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dataset_size: 57176
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configs:
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- config_name: default
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data_files:
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- split: train
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path: data/train-*
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- split: test
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path: data/test-*
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---
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---
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license: cc-by-4.0
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language:
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- en
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tags:
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- africa
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- unicef
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- children
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- food-security
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- tabular
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pretty_name: "Food Security — Africa (UNICEF)"
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---
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# Food Security — Africa
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**Source:** [UNICEF Data Warehouse](https://data.unicef.org/)
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**Theme:** `FD` (food-security)
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**Publisher:** United Nations Children's Fund (UNICEF)
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**Coverage:** 19 African countries · 2017–2023 · 218 rows
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**Indicators:** 12
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## About
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The UNICEF Data Warehouse consolidates child-focused indicators across UNICEF
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collaborators (WHO, World Bank, JMP, UIS, MICS-derived aggregates, etc.).
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This dataset contains the **food-security** theme filtered to all 54 African
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countries (ISO3-coded), repackaged in ML-ready Parquet by
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[Electric Sheep Africa](https://huggingface.co/electricsheepafrica).
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## Schema
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| Column | Type |
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|--------|------|
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| `REF_AREA` | string |
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| `Geographic area` | string |
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| `INDICATOR` | string |
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| `Indicator` | string |
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| `SEX` | string |
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| `Sex` | string |
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| `TIME_PERIOD` | int64 |
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| `OBS_VALUE` | float64 |
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| `UNIT_MEASURE` | string |
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| `Unit of measure` | string |
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| `OBS_STATUS` | string |
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| `Observation Status` | string |
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| `OBS_CONF` | string |
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| `Observation confidentaility` | string |
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| `OBS_FOOTNOTE` | string |
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| `DATA_SOURCE` | string |
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| `TIME_PERIOD_METHOD` | string |
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| `Time period activity related to when the data are collected` | string |
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| `COVERAGE_TIME` | string |
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| `AGE` | string |
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| `Current age` | string |
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### Key columns
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- **`REF_AREA`** — ISO3 country code
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- **`INDICATOR`** — UNICEF indicator code (see `data.unicef.org` for definitions)
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- **`TIME_PERIOD`** — year of observation
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- **`OBS_VALUE`** — indicator value
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- **`SEX`**, **`AGE`**, **`RESIDENCE`**, **`WEALTH_QUINTILE`** — disaggregation dimensions where available
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- **`DATA_SOURCE`** — survey / administrative source
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## Usage
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```python
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from datasets import load_dataset
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ds = load_dataset("electricsheepafrica/africa-unicef-food-security")
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df = ds["train"].to_pandas()
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```
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## License
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[CC BY 4.0](https://creativecommons.org/licenses/by/4.0/) — UNICEF open data
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with attribution. Always cite UNICEF + the `DATA_SOURCE`/`CUSTODIAN`/`SOURCE_LINK`
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columns embedded in each row for the original survey provider.
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