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Afrobarometer β Burkina Faso
π 1,200 observations Β· 1 Africa countries Β· βββ Β· Repackaged by Electric Sheep Africa
TL;DR
This dataset contains 1,200 observations of Public Opinion Survey β Burkina Faso data across 1 Africa countries.
About the source
- Source: Afrobarometer
- Publisher: Afrobarometer
- License: cc-by-4.0
- Topic: Public Opinion Survey β Burkina Faso
Geographic coverage
1 Africa countries Β· top rows shown below, sorted by row count:
| Country | Rows | First year | Last year |
|---|---|---|---|
Burkina Faso |
1,200 | β | β |
Schema
| Column | Type | Description | Example |
|---|---|---|---|
COUNTRY |
string |
β | Burkina Faso |
RESPNO |
string |
β | BFO0001 |
URBRUR |
string |
β | Urban |
BACKCHK |
string |
β | No |
REGION |
string |
β | Centre-Nord |
DISTRICT |
string |
β | BOULSA |
EA_SVC_A |
string |
β | Yes |
EA_SVC_B |
string |
β | No |
EA_SVC_C |
string |
β | No |
EA_SVC_D |
string |
β | No |
EA_FAC_A |
string |
β | Yes |
EA_FAC_B |
string |
β | Yes |
EA_FAC_C |
string |
β | Yes |
EA_FAC_D |
string |
β | Yes |
EA_FAC_E |
string |
β | Yes |
EA_SEC_A |
string |
β | No |
EA_SEC_B |
string |
β | No |
EA_ROAD |
string |
β | No |
NOCALL_1 |
string |
β | Not Applicable |
NOCALL_2 |
string |
β | Not Applicable |
NOCALL_3 |
string |
β | Not Applicable |
NOCALL_4 |
string |
β | Not Applicable |
NOCALL_5 |
string |
β | Not Applicable |
NOCALL_6 |
string |
β | Not Applicable |
NOCALL_7 |
string |
β | Not Applicable |
PREVINT |
string |
β | Male |
THISINT |
string |
β | Female |
ADULT_CT |
string |
β | 4.0 |
CALLS |
string |
β | 1 |
DATEINTR |
string |
β | 2008-10-17 |
STRTIME |
string |
β | 14:00:00 |
Q1 |
string |
β | 75.0 |
Q2 |
string |
β | No |
Q3 |
string |
β | Moore |
Q3OTHER |
string |
β | `` |
Q4A |
string |
β | Fairly good |
Q4B |
string |
β | Fairly good |
Q5 |
string |
β | Don't know |
Q6A |
string |
β | Better |
Q6B |
string |
β | Same |
| ... (254 more columns) |
Data quality & caveats
- All Afrobarometer survey rounds for Burkina Faso, one split per round.
- Rounds included: R4 (2008-2009, 1,200 resp.), R5 (2011-2013, 1,200 resp.), R6 (2014-2015, 1,200 resp.), R7 (2016-2018, 1,200 resp.), R8 (2019-2021, 1,200 resp.), R9 (2021-2023, 1,200 resp.).
- Total: 7,200 respondents across 6 rounds.
- Each round is a separate split (e.g.
round_9) because question sets differ across rounds. Load one withload_dataset("electricsheepafrica/africa-afrobarometer-burkina-faso", split="round_9"). - Columns are Q-coded survey questions with value labels applied; weights included (withinwt, combinwt).
- Questionnaire:
codebook.csvmaps every column to its question text, the rounds it appears in, and its value-code labels. Load it withload_dataset("electricsheepafrica/africa-afrobarometer-burkina-faso", data_files="codebook.csv")or readcodebook.jsondirectly.
Usage
from datasets import load_dataset
ds = load_dataset("electricsheepafrica/africa-afrobarometer-burkina-faso")
df = ds["train"].to_pandas()
print(df.head())
Filter to one country
kenya = df[df["COUNTRY"] == "KEN"]
Time-series for a single indicator
sample = df.sort_values("None")
sample.plot(x="None", y="None")
Citation
@misc{africa_afrobarometer_burkina_faso_2026,
title = {Afrobarometer β Burkina Faso},
author = {Afrobarometer},
year = {2026},
url = {https://www.afrobarometer.org/data/},
publisher = {HuggingFace Datasets, repackaged by Electric Sheep Africa},
howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-afrobarometer-burkina-faso}}
}
License
Released under cc-by-4.0.
Original data Β© Afrobarometer. 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 HuggingFace. 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 2026-06-09 via the Electric Sheep pipeline. Source URL: https://www.afrobarometer.org/data/
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