electricsheepafrica/africa-central-african-republic-small-business-surveys-aggregated-data-d5a0d9ee

Small Business Surveys - Aggregated Data | Africa (Central African Republic official open data)

15,705 rows - 1 Africa country - 2019 - Repackaged by Electric Sheep Africa

TL;DR

This dataset packages one official CSV resource from Central African Republic 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_2019_december_data_aggregate_weighted_smb.csv
• Format: CSV
• License: CC BY 4.0
• Packaging mode: tabular_resource

Geographic coverage

1 Africa country:

Country	Rows	First year	Last year	Name
CAF	15,705	2019	2019	Central African Republic

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.	70ab61fd-97f6-464d-8803-91b84f68f463:0
country_iso3	category	ISO3 country code.	CAF
country_name	category	Country name.	Central African Republic
year	Int64	Observation year.	2019
variable	string	Source column.	bus_cdt
value	string	Numeric observation value.	I'm not sure
pop	string	Source column.	overall_owner_manager
logged_iso2	string	Source column.	AE
mean_w	float64	Source column.	0.061929057
se_w	float64	Source column.	0.024771643
count	int64	Source column.	17
question_n	int64	Source column.	183
source_period_start_year	Int64	First year inferred from source resource metadata.	2019
source_period_end_year	Int64	Last year inferred from source resource metadata.	2019
source_period_label	category	Human-readable period inferred from source resource metadata.	2019
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_2019_december_data_aggregate_weighted_smb.csv
source_package_id	category	CKAN package UUID.	8bd3d109-d33d-4349-90c4-464c9d7ccb66
source_resource_id	category	CKAN resource UUID.	70ab61fd-97f6-464d-8803-91b84f68f463
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.	2026-08-14T23:28:30Z

Usage

from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-central-african-republic-small-business-surveys-aggregated-data-d5a0d9ee")
df = ds["train"].to_pandas()
print(df.head())

Filter to one country

sample_country = df[df["country_iso3"] == "CAF"]

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_central_african_republic_small_business_surveys_aggregated_data_d5a0d9ee_2019,
  title        = {Small Business Surveys - Aggregated Data | Africa (Central African Republic official open data)},
  author       = {AI for Good at Meta},
  year         = {2019},
  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-central-african-republic-small-business-surveys-aggregated-data-d5a0d9ee}}
}

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

---

Provenance: ingested 2026-08-15 via the Electric Sheep pipeline. Source URL: https://data.humdata.org/dataset/8bd3d109-d33d-4349-90c4-464c9d7ccb66/resource/70ab61fd-97f6-464d-8803-91b84f68f463/download/fob_2019_december_data_aggregate_weighted_smb.csv