electricsheepafrica/africa-mali-output-indicators-report-sep2016

---
annotations_creators:
- no-annotation
language_creators:
- found
language:
- en
license: cc-by-4.0
multilinguality:
- monolingual
size_categories:
- 1K<n<10K
source_datasets:
- original
task_categories:
- other
task_ids: []
tags:
- africa
- humanitarian
- hdx
- electric-sheep-africa
- mli
pretty_name: "Mali Output Indicators Report Sep2016"
dataset_info:
splits:
- name: train
num_examples: 910
- name: test
num_examples: 227
---

# Mali Output Indicators Report Sep2016

**Publisher:** Sahel ORS (inactive) · **Source:** [HDX](https://data.humdata.org/dataset/mali-output-indicators-report-sep2016) · **License:** `cc-by` · **Updated:** 2022-09-12

---

## Abstract

These are output indicators report by Mali Cluster Coordinators until Sep2016

Each row in this dataset represents first-level administrative unit observations. Data was last updated on HDX on 2022-09-12. Geographic scope: **MLI**.

*Curated into ML-ready Parquet format by [Electric Sheep Africa](https://huggingface.co/electricsheepafrica).*

---

## Dataset Characteristics

| | |
|---|---|
| **Domain** | Humanitarian and development data |
| **Unit of observation** | First-level administrative unit observations |
| **Rows (total)** | 1,138 |
| **Columns** | 19 (10 numeric, 9 categorical, 0 datetime) |
| **Train split** | 910 rows |
| **Test split** | 227 rows |
| **Geographic scope** | MLI |
| **Publisher** | Sahel ORS (inactive) |
| **HDX last updated** | 2022-09-12 |

---

## Variables

**Geographic** — `country` (Mali, #country), `achievedlocation` (Tombouctou, Mopti, Gao), `isregional` (range 0.0–1.0), `countryid` (range 6.0–6.0), `achievedlocationpcode` (MLI006, MLI005, MLI007).

**Temporal** — `month` (March, February, April), `monthid` (range 1.0–9.0).

**Demographic** — `targetmale` (range 9.0–127400.0), `targetfemale` (range 4.0–132600.0), `achievedmale` (range 0.0–146612.0), `achievedfemale` (range 0.0–135335.0).

**Outcome / Measurement** — `targettotal` (range 1.0–22379520.0), `achievedtotal` (range 0.0–1230878.0), `runningvalue` (range 0.0–4816491.0).

**Identifier / Metadata** — `esa_source` (HDX), `esa_processed` (2026-04-26).

**Other** — `cluster` (Education, Health, Nutrition), `indicator` (Number of weekly epidemiological reports completed and received at a central level, Number of children 6-59 months with moderate acute malnutrition admitted in TSFP (Targeted Supplementary Feeding Programmes), Number of pregnant and lactating women screened and admitted for malnutrition), `unit` (Children, People, Reports).

---

## Quick Start

```python
from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-mali-output-indicators-report-sep2016")
train = ds["train"].to_pandas()
test = ds["test"].to_pandas()

print(train.shape)
train.head()
```

---

## Schema

| Column | Type | Null % | Range / Sample Values |
|---|---|---|---|
| `country` | object | 0.0% | Mali, #country |
| `cluster` | object | 0.0% | Education, Health, Nutrition |
| `indicator` | object | 0.0% | Number of weekly epidemiological reports completed and received at a central level, Number of children 6-59 months with moderate acute malnutrition admitted in TSFP (Targeted Supplementary Feeding Programmes), Number of pregnant and lactating women screened and admitted for malnutrition |
| `unit` | object | 0.0% | Children, People, Reports |
| `achievedlocation` | object | 0.0% | Tombouctou, Mopti, Gao |
| `targettotal` | float64 | 0.1% | 1.0 – 22379520.0 (mean 364086.9455) |
| `targetmale` | float64 | 49.4% | 9.0 – 127400.0 (mean 16011.8715) |
| `targetfemale` | float64 | 49.4% | 4.0 – 132600.0 (mean 15642.9115) |
| `achievedtotal` | float64 | 0.1% | 0.0 – 1230878.0 (mean 15003.423) |
| `achievedmale` | float64 | 54.2% | 0.0 – 146612.0 (mean 3447.3359) |
| `achievedfemale` | float64 | 53.6% | 0.0 – 135335.0 (mean 3742.286) |
| `runningvalue` | float64 | 0.1% | 0.0 – 4816491.0 (mean 78865.8848) |
| `isregional` | float64 | 0.1% | 0.0 – 1.0 (mean 0.4916) |
| `month` | object | 0.0% | March, February, April |
| `monthid` | float64 | 0.1% | 1.0 – 9.0 (mean 4.8276) |
| `countryid` | float64 | 0.1% | 6.0 – 6.0 (mean 6.0) |
| `achievedlocationpcode` | object | 0.0% | MLI006, MLI005, MLI007 |
| `esa_source` | object | 0.0% | HDX |
| `esa_processed` | object | 0.0% | 2026-04-26 |

---

## Numeric Summary

| Column | Min | Max | Mean | Median |
|---|---|---|---|---|
| `targettotal` | 1.0 | 22379520.0 | 364086.9455 | 5000.0 |
| `targetmale` | 9.0 | 127400.0 | 16011.8715 | 6646.0 |
| `targetfemale` | 4.0 | 132600.0 | 15642.9115 | 7084.0 |
| `achievedtotal` | 0.0 | 1230878.0 | 15003.423 | 166.0 |
| `achievedmale` | 0.0 | 146612.0 | 3447.3359 | 637.0 |
| `achievedfemale` | 0.0 | 135335.0 | 3742.286 | 681.0 |
| `runningvalue` | 0.0 | 4816491.0 | 78865.8848 | 499.0 |
| `isregional` | 0.0 | 1.0 | 0.4916 | 0.0 |
| `monthid` | 1.0 | 9.0 | 4.8276 | 5.0 |
| `countryid` | 6.0 | 6.0 | 6.0 | 6.0 |

---

## 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`. 9 column(s) were cast from string to numeric or datetime based on parse-success rate (>85% threshold). 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 Sahel ORS (inactive) and has not been independently validated by ESA.
- Automated cleaning cannot correct for misreported values, definitional inconsistencies, or sampling bias in the original collection.
- The following columns have >20% missing values and should be treated with caution in modelling: `targetmale`, `targetfemale`, `achievedmale`, `achievedfemale`.
- Refer to the [original HDX dataset page](https://data.humdata.org/dataset/mali-output-indicators-report-sep2016) for the publisher's own methodology notes and caveats.

---

## Citation

```bibtex
@dataset{hdx_africa_mali_output_indicators_report_sep2016,
title = {Mali Output Indicators Report Sep2016},
author = {Sahel ORS (inactive)},
year = {2022},
url = {https://data.humdata.org/dataset/mali-output-indicators-report-sep2016},
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.*