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

Tasks:
Tabular Regression
Time Series Forecasting
Modalities:
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Text
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parquet
Languages:
English
Size:
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tabular
csv
africa
ghana
official-statistics
open-data
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metadata 
license: cc-by-4.0
language:
  - en
task_categories:
  - tabular-regression
  - time-series-forecasting
multilinguality: monolingual
size_categories:
  - 1K<n<10K
tags:
  - tabular
  - csv
  - africa
  - ghana
  - official-statistics
  - open-data
pretty_name: >-
  EXPECTED JOB CREATION IN GHANA BY SECTOR FROM JANUARY 2015 TO DECEMBER 2018 |
  Africa (Ghana official open data)

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

rows countries years indicators license

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

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