electricsheepafrica/africa-djibouti-small-business-surveys-aggregated-data-163f4c05

Small Business Surveys - Aggregated Data | Africa (Djibouti official open data)

79 rows - 1 Africa country - 2018 - Repackaged by Electric Sheep Africa

TL;DR

This dataset packages one official CSV resource from Djibouti as ML-ready Parquet. The source file is the provenance boundary; all usable indicators or tabular columns from the resource stay together in this repo.

About the source

• Source: Small Business Surveys - Aggregated Data
• Publisher: AI for Good at Meta
• Resource: fob_2018_december_aggregate_codebook.csv
• Format: CSV
• License: CC BY 4.0
• Packaging mode: tabular_resource

Geographic coverage

1 Africa country:

Country	Rows	First year	Last year	Name
DJI	79	2018	2018	Djibouti

Indicators or Resource Contents

• This source file is packaged as a normalized tabular resource.

Schema

Column	Type	Description	Example
source_record_id	string	Stable row identifier for tabular resources.	8095cdb3-7ac8-41f7-b5be-6a9a2490b2d2:0
country_iso3	category	ISO3 country code.	DJI
country_name	category	Country name.	Djibouti
year	Int64	Observation year.	2018
variable	string	Source column.	bus_cdt
question	string	Source column.	At this time, does this business have a line of credit or loan from a ba
possible_responses	string	Source column.	Yes,No,I'm not sure
source_period_start_year	Int64	First year inferred from source resource metadata.	2018
source_period_end_year	Int64	Last year inferred from source resource metadata.	2018
source_period_label	category	Human-readable period inferred from source resource metadata.	2018
source_provider	category	Publishing organization.	AI for Good at Meta
source_dataset	category	Source package title.	Small Business Surveys - Aggregated Data
source_resource	category	Source resource title.	fob_2018_december_aggregate_codebook.csv
source_package_id	category	CKAN package UUID.	8bd3d109-d33d-4349-90c4-464c9d7ccb66
source_resource_id	category	CKAN resource UUID.	8095cdb3-7ac8-41f7-b5be-6a9a2490b2d2
source_url	category	Original source resource URL.	https://data.humdata.org/dataset/8bd3d109-d33d-4349-90c4-464c9d7ccb66/re
license_id	category	Source license identifier.	cc-by
retrieved_at	category	UTC retrieval timestamp.	2026-08-16T10:32:57Z

Usage

from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-djibouti-small-business-surveys-aggregated-data-163f4c05")
df = ds["train"].to_pandas()
print(df.head())

Filter to one country

sample_country = df[df["country_iso3"] == "DJI"]

Work with indicators

if "indicator_id" in df.columns:
    print(df["indicator_id"].value_counts().head())
    sample = df.sort_values([c for c in ["indicator_id", "year"] if c in df.columns])

Citation

@misc{electric_sheep_africa_africa_djibouti_small_business_surveys_aggregated_data_163f4c05_2018,
  title        = {Small Business Surveys - Aggregated Data | Africa (Djibouti official open data)},
  author       = {AI for Good at Meta},
  year         = {2018},
  url          = {https://data.humdata.org/dataset/future-of-business-survey-aggregated-data},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-djibouti-small-business-surveys-aggregated-data-163f4c05}}
}

License

Released under CC BY 4.0.

Original data (c) AI for Good at Meta. When using this dataset, please cite both the original source above and the Electric Sheep Africa repackaging.

About Electric Sheep

Electric Sheep Africa is part of the Electric Sheep mission: a unified, ML-ready data layer for Africa on Hugging Face. We pull data from authoritative open sources, normalize the schemas, package as Parquet, and publish with consistent dataset cards so researchers and developers can use load_dataset() to start working in seconds.

Browse the full collection: huggingface.co/electricsheepafrica

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Provenance: ingested 2026-08-16 via the Electric Sheep pipeline. Source URL: https://data.humdata.org/dataset/8bd3d109-d33d-4349-90c4-464c9d7ccb66/resource/8095cdb3-7ac8-41f7-b5be-6a9a2490b2d2/download/fob_2018_december_aggregate_codebook.csv