electricsheepafrica/africa-afrobarometer-tanzania

Afrobarometer — Tanzania

🌍 2,400 observations · 1 Africa countries · —–— · Repackaged by Electric Sheep Africa

TL;DR

This dataset contains 2,400 observations of Public Opinion Survey — Tanzania data across 1 Africa countries.

About the source

• Source: Afrobarometer
• Publisher: Afrobarometer
• License: cc-by-4.0
• Topic: Public Opinion Survey — Tanzania

Geographic coverage

1 Africa countries · top rows shown below, sorted by row count:

Country	Rows	First year	Last year
Tanzania	2,400	—	—

Schema

Column	Type	Description	Example
COUNTRY	string	—	Tanzania
COUNTRY_ALPHA	string	—	Tanzania
COUNTRY.BY.REGION.NO	string	—	Tanzania
COUNTRY.BY.REGION	string	—	East Africa
RESPNO	string	—	TAN0001
URBRUR	string	—	Urban
REGION	string	—	Ruvuma
EA_SVC_A	string	—	No
EA_SVC_B	string	—	Yes
EA_SVC_C	string	—	No
EA_SVC_D	string	—	Yes
EA_FAC_A	string	—	Yes
EA_FAC_B	string	—	Yes
EA_FAC_C	string	—	Yes
EA_FAC_D	string	—	Yes
EA_FAC_E	string	—	Yes
EA_SEC_A	string	—	No
EA_SEC_B	string	—	No
EA_SEC_C	string	—	No
EA_SEC_D	string	—	No
EA_SEC_E	string	—	No
EA_ROAD	string	—	Yes
NOCALL_1	string	—	Not Applicable
NOCALL_1OTHER	string	—	``
NOCALL_2	string	—	Not Applicable
NOCALL_2OTHER	string	—	``
NOCALL_3	string	—	Not Applicable
NOCALL_3OTHER	string	—	``
NOCALL_4	string	—	Not Applicable
NOCALL_5	string	—	Not Applicable
NOCALL_6	string	—	Not Applicable
NOCALL_7	string	—	Not Applicable
PREVINT	string	—	Female
THISINT	string	—	Male
ADULT_CT	string	—	1.0
CALLS	string	—	1.0
DATEINTR	string	—	2012-05-30
STRTIME	string	—	16:06:57
Q1	string	—	23.0
Q2	string	—	Kindendeule
... (308 more columns)

Data quality & caveats

• All Afrobarometer survey rounds for Tanzania, one split per round.
• Rounds included: R1 (1999-2001, 2,198 resp.), R2 (2002-2003, 1,223 resp.), R3 (2005-2006, 1,304 resp.), R4 (2008-2009, 1,208 resp.), R5 (2011-2013, 2,400 resp.), R6 (2014-2015, 2,386 resp.), R7 (2016-2018, 2,400 resp.), R8 (2019-2021, 2,398 resp.), R9 (2021-2023, 2,400 resp.).
• Total: 17,917 respondents across 9 rounds.
• Each round is a separate split (e.g. round_9) because question sets differ across rounds. Load one with load_dataset("electricsheepafrica/africa-afrobarometer-tanzania", split="round_9").
• Columns are Q-coded survey questions with value labels applied; weights included (withinwt, combinwt).
• Questionnaire: codebook.csv maps every column to its question text, the rounds it appears in, and its value-code labels. Load it with load_dataset("electricsheepafrica/africa-afrobarometer-tanzania", data_files="codebook.csv") or read codebook.json directly.

Usage

from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-afrobarometer-tanzania")
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_tanzania_2026,
  title        = {Afrobarometer — Tanzania},
  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-tanzania}}
}

License

Released under cc-by-4.0.

Original data © 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

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Provenance: ingested 2026-06-09 via the Electric Sheep pipeline. Source URL: https://www.afrobarometer.org/data/