Upload dataset folder
Browse files- README.md +147 -0
- data/train-00000-of-00001.parquet +3 -0
- metadata/source_snapshot.json +58 -0
README.md
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| 1 |
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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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task_categories:
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- tabular-regression
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- time-series-forecasting
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multilinguality: monolingual
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size_categories:
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- n<1K
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tags:
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- tabular
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- csv
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- africa
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- madagascar
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- official-statistics
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- open-data
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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-00000-of-00001.parquet
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pretty_name: "Madagascar - Poverty | Africa (Madagascar official open data)"
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---
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# Madagascar - Poverty | Africa (Madagascar official open data)
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148 rows - 1 Africa country - 1980-2022 - Repackaged by [Electric Sheep Africa](https://huggingface.co/electricsheepafrica)
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## TL;DR
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This dataset packages one official `CSV` resource from **Madagascar** as
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ML-ready Parquet. The source file is the provenance boundary; all usable
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indicators or tabular columns from the resource stay together in this repo.
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## About the source
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- **Source:** [Madagascar - Poverty](https://data.humdata.org/dataset/world-bank-poverty-indicators-for-madagascar)
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- **Publisher:** World Bank Group
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- **Resource:** [Poverty Indicators for Madagascar](https://data.humdata.org/dataset/5955f214-af8d-4a36-9daf-44dc90191b63/resource/bd352271-202e-4b85-bb55-f6808e0239bd/download/poverty_mdg.csv)
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- **Format:** `CSV`
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- **License:** [CC BY 4.0](https://creativecommons.org/licenses/by/4.0/)
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- **Packaging mode:** `indicator_long`
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## Geographic coverage
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1 Africa country:
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| Country | Rows | First year | Last year | Name |
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|---------|-----:|-----------:|----------:|------|
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| `MDG` | 148 | 1980 | 2022 | `Madagascar` |
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## Indicators or Resource Contents
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- `madagascar-poverty-d9377856` - Madagascar - Poverty
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## Schema
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| Column | Type | Description | Example |
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|--------|------|-------------|---------|
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| `indicator_id` | `string` | Stable indicator identifier. | `madagascar-poverty-d9377856` |
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| `indicator_name` | `string` | Human-readable indicator name. | `Madagascar - Poverty` |
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| `country_iso3` | `string` | ISO3 country code. | `MDG` |
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| `country_name` | `string` | Country name. | `Madagascar` |
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| `year` | `Int64` | Observation year. | `2022` |
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| `value` | `float64` | Numeric observation value. | `65.71715` |
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| `unit` | `string` | Measurement unit, when available. | `source_units_unspecified` |
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| `dimension_country_name` | `string` | Source dimension. | `Madagascar` |
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| `dimension_country_iso3` | `string` | Source dimension. | `MDG` |
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| `dimension_indicator_name` | `string` | Source dimension. | `Population living in slums (% of urban population)` |
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| `dimension_indicator_code` | `string` | Source dimension. | `EN.POP.SLUM.UR.ZS` |
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| `source_period_start_year` | `Int64` | First year inferred from source resource metadata. | `1990` |
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| `source_period_end_year` | `Int64` | Last year inferred from source resource metadata. | `1990` |
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| `source_period_label` | `category` | Human-readable period inferred from source resource metadata. | `1990` |
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| `source_provider` | `category` | Publishing organization. | `World Bank Group` |
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| `source_dataset` | `category` | Source package title. | `Madagascar - Poverty` |
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| `source_resource` | `category` | Source resource title. | `Poverty Indicators for Madagascar` |
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| `source_package_id` | `category` | CKAN package UUID. | `5955f214-af8d-4a36-9daf-44dc90191b63` |
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| `source_resource_id` | `category` | CKAN resource UUID. | `bd352271-202e-4b85-bb55-f6808e0239bd` |
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| `source_url` | `category` | Original source resource URL. | `https://data.humdata.org/dataset/5955f214-af8d-4a36-9daf-44dc90191b63/re` |
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| `license_id` | `category` | Source license identifier. | `cc-by` |
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| `retrieved_at` | `category` | UTC retrieval timestamp. | `2026-08-30T05:38:32Z` |
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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-madagascar-madagascar-poverty-e77716d6")
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df = ds["train"].to_pandas()
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print(df.head())
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```
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### Filter to one country
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```python
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sample_country = df[df["country_iso3"] == "MDG"]
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```
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### Work with indicators
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```python
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if "indicator_id" in df.columns:
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print(df["indicator_id"].value_counts().head())
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sample = df.sort_values([c for c in ["indicator_id", "year"] if c in df.columns])
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```
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## Citation
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```bibtex
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@misc{electric_sheep_africa_africa_madagascar_madagascar_poverty_e77716d6_2022,
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title = {Madagascar - Poverty | Africa (Madagascar official open data)},
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author = {World Bank Group},
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year = {2022},
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url = {https://data.humdata.org/dataset/world-bank-poverty-indicators-for-madagascar},
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publisher = {HuggingFace Datasets, repackaged by Electric Sheep Africa},
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howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-madagascar-madagascar-poverty-e77716d6}}
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}
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```
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## License
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Released under [CC BY 4.0](https://creativecommons.org/licenses/by/4.0/).
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Original data (c) World Bank Group. When using this dataset, please cite both the
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original source above and the Electric Sheep Africa repackaging.
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## About Electric Sheep
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Electric Sheep Africa is part of the Electric Sheep mission: a unified,
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ML-ready data layer for Africa on Hugging Face. We pull data from authoritative
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open sources, normalize the schemas, package as Parquet, and publish with
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consistent dataset cards so researchers and developers can use `load_dataset()`
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to start working in seconds.
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Browse the full collection: [huggingface.co/electricsheepafrica](https://huggingface.co/electricsheepafrica)
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---
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Provenance: ingested 2026-08-30 via the Electric Sheep pipeline. Source URL:
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https://data.humdata.org/dataset/5955f214-af8d-4a36-9daf-44dc90191b63/resource/bd352271-202e-4b85-bb55-f6808e0239bd/download/poverty_mdg.csv
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data/train-00000-of-00001.parquet
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version https://git-lfs.github.com/spec/v1
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oid sha256:3c221f3b59706ab00c32ad67bd4f5909abcbbfa3aa91e47b6ea62cc8b61ddb24
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size 18111
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metadata/source_snapshot.json
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{
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"columns": [
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"indicator_id",
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"indicator_name",
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"country_iso3",
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"country_name",
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| 7 |
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"year",
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| 8 |
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"value",
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| 9 |
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"unit",
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| 10 |
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"dimension_country_name",
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| 11 |
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"dimension_country_iso3",
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| 12 |
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"dimension_indicator_name",
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"dimension_indicator_code",
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| 14 |
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"source_period_start_year",
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| 15 |
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"source_period_end_year",
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| 16 |
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"source_period_label",
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"source_provider",
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| 18 |
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"source_dataset",
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| 19 |
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"source_resource",
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| 20 |
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"source_package_id",
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| 21 |
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"source_resource_id",
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| 22 |
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"source_url",
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"license_id",
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"retrieved_at"
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],
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"generated_at": "2026-08-30T05:56:44Z",
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"indicator_count": 1,
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"mode": "indicator_long",
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"repo_id": "electricsheepafrica/africa-madagascar-madagascar-poverty-e77716d6",
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| 30 |
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"rows": 148,
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| 31 |
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"source": {
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| 32 |
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"api_base_url": "https://data.humdata.org/api/3/action",
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| 33 |
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"country_iso3": "MDG",
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"country_name": "Madagascar",
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| 35 |
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"group_names": "mdg",
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| 36 |
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"license_id": "cc-by",
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| 37 |
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"license_title": "Creative Commons Attribution International (CC BY)",
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| 38 |
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"license_url": "http://www.opendefinition.org/licenses/cc-by",
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| 39 |
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"organization_name": "world-bank-group",
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| 40 |
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"organization_title": "World Bank Group",
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| 41 |
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"package_id": "5955f214-af8d-4a36-9daf-44dc90191b63",
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| 42 |
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"package_name": "world-bank-poverty-indicators-for-madagascar",
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"package_notes": "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-madagascar) on HDX. For countries with an active poverty monitoring program, the World Bank—in collaboration with national institutions, other development agencies, and civil society—regularly conducts analytical work to assess the extent and causes of poverty and inequality, examine the impact of growth and public policy, and review household survey data and measurement methods. Data here includes poverty and inequality measures generated from analytical reports, from national poverty monitoring programs, and from the World Bank’s Development Research Group which has been producing internationally comparable and global poverty estimates and lines since 1990.",
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| 44 |
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"package_page_url": "https://data.humdata.org/dataset/world-bank-poverty-indicators-for-madagascar",
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| 45 |
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"package_title": "Madagascar - Poverty",
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| 46 |
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"portal_url": "https://data.humdata.org",
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"resource_description": "csv containing Poverty indicators Indicators: Gini index, Income share held by fourth 20%, Income share held by highest 10%, Income share held by highest 20%, Income share held by lowest 10%, Income share held by lowest 20%, Income share held by second 20%, Income share held by third 20%, Population living in slums, Poverty gap at $3.00 a day, Poverty gap at $4.20 a day, Poverty gap at $8.30 a day, Poverty headcount ratio at $3.00 a day, Poverty headcount ratio at $4.20 a day, Poverty headcount ratio at $8.30 a day, Poverty headcount ratio at national poverty lines, Proportion of people living below 50 percent of median income",
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| 48 |
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"resource_format": "CSV",
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| 49 |
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"resource_id": "bd352271-202e-4b85-bb55-f6808e0239bd",
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| 50 |
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"resource_last_modified": "2026-04-28T08:27:12.576595",
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| 51 |
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"resource_name": "Poverty Indicators for Madagascar",
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| 52 |
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"resource_position": "0",
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| 53 |
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"resource_url": "https://data.humdata.org/dataset/5955f214-af8d-4a36-9daf-44dc90191b63/resource/bd352271-202e-4b85-bb55-f6808e0239bd/download/poverty_mdg.csv",
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| 54 |
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"tag_names": "indicators,poverty"
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| 55 |
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},
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| 56 |
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"year_max": 2022,
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| 57 |
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"year_min": 1980
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| 58 |
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}
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