Datasets:

electricsheepafrica
/

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

---
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](https://huggingface.co/electricsheepafrica)

![rows](https://img.shields.io/badge/rows-2880-blue)
![countries](https://img.shields.io/badge/countries-1-green)
![years](https://img.shields.io/badge/years-2015-2018-orange)
![indicators](https://img.shields.io/badge/indicators-4-purple)
![license](https://img.shields.io/badge/license-cc-by-4.0-lightgrey)

## 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](http://data.gov.gh/dataset/expected-job-creation-ghana-sector-january-2015-december-2018)
- **Publisher:** Official government open data portal
- **Resource:** [EXPECTED JOB CREATION IN GHANA BY SECTOR FROM JANUARY 2015 TO DECEMBER 2018](http://data.gov.gh/sites/default/files/DATASET%202%20FINAL.csv)
- **Format:** `CSV`
- **License:** [CC BY 4.0](https://creativecommons.org/licenses/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

```python
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

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

### Work with indicators

```python
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

```bibtex
@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](https://creativecommons.org/licenses/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](https://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