electricsheepafrica/africa-ghana-expected-job-creation-in-ghana-by-sector-from-january-2015-1c862a93

EXPECTED JOB CREATION IN GHANA BY SECTOR FROM JANUARY 2015 TO DECEMBER 2018 | Africa (Ghana official open data)

2,880 rows - 1 Africa country - 2015-2018 - Repackaged by Electric Sheep Africa

TL;DR

This dataset packages one official CSV resource from Ghana 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: EXPECTED JOB CREATION IN GHANA BY SECTOR FROM JANUARY 2015 TO DECEMBER 2018
• Publisher: Official government open data portal
• Resource: EXPECTED JOB CREATION IN GHANA BY SECTOR FROM JANUARY 2015 TO DECEMBER 2018
• Format: CSV
• License: CC BY 4.0
• Packaging mode: indicator_long

Geographic coverage

1 Africa country:

Country	Rows	First year	Last year	Name
GHA	2,880	2015	2018	Ghana

Indicators or Resource Contents

• expected-job-creation-in-ghana-by-sector-from-january-2015-to-december-2-64eea521 - EXPECTED JOB CREATION IN GHANA BY SECTOR FROM JANUARY 2015 TO DECEMBER 2018 - ghanaian manager initial employment
• expected-job-creation-in-ghana-by-sector-from-january-2015-to-december-2-d823ff01 - EXPECTED JOB CREATION IN GHANA BY SECTOR FROM JANUARY 2015 TO DECEMBER 2018 - ghanaian manager full capacity employment
• expected-job-creation-in-ghana-by-sector-from-january-2015-to-december-2-d46491d1 - EXPECTED JOB CREATION IN GHANA BY SECTOR FROM JANUARY 2015 TO DECEMBER 2018 - ghanaian skilled initial employment
• expected-job-creation-in-ghana-by-sector-from-january-2015-to-december-2-8943e3b0 - EXPECTED JOB CREATION IN GHANA BY SECTOR FROM JANUARY 2015 TO DECEMBER 2018 - ghanaian skilled full capacity employment

Schema

Column	Type	Description	Example
indicator_id	string	Stable indicator identifier.	expected-job-creation-in-ghana-by-sector-from-january-2015-to-december-2
indicator_name	string	Human-readable indicator name.	EXPECTED JOB CREATION IN GHANA BY SECTOR FROM JANUARY 2015 TO DECEMBER 2
country_iso3	string	ISO3 country code.	GHA
country_name	string	Country name.	Ghana
date	string	Observation date.	2018-12-27
year	Int64	Observation year.	2018
value	float64	Numeric observation value.	4.0
unit	string	Measurement unit, when available.	source_units_unspecified
dimension_sector	string	Source dimension.	MANUFACTURING
dimension_ownership	string	Source dimension.	FOREIGN
dimension_region	string	Source dimension.	GREATER ACCRA
dimension_country	string	Source dimension.	CHINA
source_period_start_year	Int64	First year inferred from source resource metadata.	2015
source_period_end_year	Int64	Last year inferred from source resource metadata.	2018
source_period_label	string	Human-readable period inferred from source resource metadata.	2015-2018
source_provider	string	Publishing organization.	Official government open data portal
source_dataset	string	Source package title.	EXPECTED JOB CREATION IN GHANA BY SECTOR FROM JANUARY 2015 TO DECEMBER 2
source_resource	string	Source resource title.	EXPECTED JOB CREATION IN GHANA BY SECTOR FROM JANUARY 2015 TO DECEMBER 2
source_package_id	string	CKAN package UUID.	eafb0f48-3caf-4419-804d-9da1b45901d2
source_resource_id	string	CKAN resource UUID.	eea88bbc-176e-4d0d-9998-e965904001bc
source_url	string	Original source resource URL.	http://data.gov.gh/sites/default/files/DATASET%202%20FINAL.csv
license_id	string	Source license identifier.	cc-by
retrieved_at	string	UTC retrieval timestamp.	2026-07-18T20:11:31Z

Usage

from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-ghana-expected-job-creation-in-ghana-by-sector-from-january-2015-1c862a93")
df = ds["train"].to_pandas()
print(df.head())

Filter to one country

sample_country = df[df["country_iso3"] == "GHA"]

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_ghana_expected_job_creation_in_ghana_by_sector_from_january_2015_1c862a93_2018,
  title        = {EXPECTED JOB CREATION IN GHANA BY SECTOR FROM JANUARY 2015 TO DECEMBER 2018 | Africa (Ghana official open data)},
  author       = {Official government open data portal},
  year         = {2018},
  url          = {http://data.gov.gh/dataset/expected-job-creation-ghana-sector-january-2015-december-2018},
  publisher    = {HuggingFace Datasets, repackaged by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-ghana-expected-job-creation-in-ghana-by-sector-from-january-2015-1c862a93}}
}

License

Released under CC BY 4.0.

Original data (c) Official government open data portal. 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 2026-07-18 via the Electric Sheep pipeline. Source URL: http://data.gov.gh/sites/default/files/DATASET%202%20FINAL.csv