CoolFace
Datasetpublic

electricsheepafrica/africa-uganda-number-of-work-permits-issued-to-immigrant-workers-by-sex-4ac510d1

Number of Work Permits Issued to Immigrant Workers by Sex | Africa (Uganda Bureau of Statistics) 18 rows - 1 Africa country/area - 2008-2016 - 1 indicator - Engineered by Electric Sheep Africa TL;DR This dataset contains 18 rows from Uganda Bureau of Statistics, covering Number of Work Permits Issued to Immigrant Workers by Sex. It is published as ML-ready Parquet with consistent Hugging Face metadata, source provenance, and analysis-friendly loading… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepafrica/africa-uganda-number-of-work-permits-issued-to-immigrant-workers-by-sex-4ac510d1.

sourceHugging Faceotherupdated 2mo agoView on Hugging Face
0likes12downloads
Dataset Card

Number of Work Permits Issued to Immigrant Workers by Sex | Africa (Uganda Bureau of Statistics)

18 rows - 1 Africa country/area - 2008-2016 - 1 indicator - Engineered by [Electric Sheep Africa](https://huggingface.co/electricsheepafrica)

rows countries period indicators license

TL;DR

This dataset contains 18 rows from Uganda Bureau of Statistics, covering Number of Work Permits Issued to Immigrant Workers by Sex. It is published as ML-ready Parquet with consistent Hugging Face metadata, source provenance, and analysis-friendly loading examples.

What This Dataset Measures

Labour and workforce datasets help analysts study employment, participation, skills, sectoral structure, and the movement of people through work and livelihoods.

Source-provided context: Number of Work permits issued to immigrant Workers by Sex from 2017 to 2019 - Last Updated on 27th January 2022

How To Read This Dataset

  • —One row means: one indicator observation for one geography, time period, and optional source dimensions.
  • —Primary geography column: country_iso3.
  • —Best time column: year.
  • —Time coverage basis: year.
  • —Recommended join keys: country_iso3, year, indicator_id.

Coverage

DimensionValue
Rows18
Countries/areas1
First period2008
Last period2016
Indicators1
Columns29
Source formatXLSX

Geographic Coverage

Top areas shown below, sorted by row count when available:

AreaRowsFirst yearLast yearName
UGA1820082016Uganda

Indicators, Variables, Or Resource Contents

  • —number-of-work-permits-issued-to-immigrant-workers-by-sex-from-2017-to-2-4ac510d1 - Number of Work permits issued to immigrant Workers by Sex from 2017 to 2019(sourceunitsunspecified)

Schema

ColumnTypeDescriptionExample
indicator_idstringStable source or Electric Sheep Africa indicator identifier.number-of-work-permits-issued-to-immigrant-workers-by-sex-from-2017-t...
indicator_namestringHuman-readable indicator name.Number of Work permits issued to immigrant Workers by Sex from 2017 t...
country_iso3stringISO3 country or area code.UGA
source_sheetstringSource column from the original resource.Sheet8
country_namestringCountry or area name.Uganda
yearint64Observation year.2016
valuedoubleNumeric observation value.2017.0
unitstringMeasurement unit, when supplied by the source.source_units_unspecified
dimension_femalestringSource dimension retained during long-form normalization.Female
dimension_d_537stringSource dimension retained during long-form normalization.630
dimension_d_18stringSource dimension retained during long-form normalization.11
dimension_d_2stringSource dimension retained during long-form normalization.2
dimension_d_0stringSource dimension retained during long-form normalization.1
dimension_d_58stringSource dimension retained during long-form normalization.120
dimension_d_4stringSource dimension retained during long-form normalization.17
dimension_d_9stringSource dimension retained during long-form normalization.21
dimension_d_823stringSource dimension retained during long-form normalization.1048
dimension_d_557stringSource dimension retained during long-form normalization.632
source_period_start_yearint64Start year inferred from source metadata.2017
source_period_end_yearint64End year inferred from source metadata.2022
source_period_labelstringSource column from the original resource.2017-2022
source_providerstringPublishing organization.Uganda Bureau of Statistics
source_datasetstringSource dataset or package title.Number of Work permits issued to immigrant Workers by Sex from 2017 t...
source_resourcestringSource resource title, table name, or file name.Number of Work permits issued to immigrant Workers by Sex from 2017 t...
source_package_idstringSource package identifier.number-of-work-permits-issued-to-immigrant-workers-by-sex-from-2017-t...
source_resource_idstringSource resource identifier.ubos-stat-b8c320ca517bb4
source_urlstringOriginal source URL or download URL.https://www.ubos.org/wp-content/uploads/statistics/Number_of_Work_per...
license_idstringSource license identifier.other-open
retrieved_atstringUTC source retrieval timestamp from the Electric Sheep Africa pipeline.2026-07-21T21:37:51Z

Usage

python
from datasets import load_dataset

ds = load_dataset("electricsheepafrica/africa-uganda-number-of-work-permits-issued-to-immigrant-workers-by-sex-4ac510d1")
df = ds["train"].to_pandas()
print(df.head())

Inspect Columns

python
print(df.info())
print(df.head())

Filter By Geography

python
if "country_iso3" in df.columns:
    sample = df[df["country_iso3"] == "UGA"]

Time-Series Pattern

python
if "value" in df.columns and "year" in df.columns:
    trend = df.sort_values("year")

Pivot For Analysis

python
if {"indicator_id", "year", "value"}.issubset(df.columns):
    matrix = df.pivot_table(index="year", columns="indicator_id", values="value")
    print(matrix.tail())

Data Quality Notes

  • —Canonical time field: year.
  • —Missing values are preserved rather than silently imputed.
  • —Column names are standardized for machine use; source meanings are preserved where known.
  • —Always confirm source methodology, units, and collection definitions before policy, production, or redistribution-sensitive use.

Source And Provenance

Transformations Applied

  • —Converted the source table to Parquet for efficient analytics and ML workflows.
  • —Added or preserved source provenance columns where available.
  • —Standardized README metadata, dataset loading configuration, schema documentation, and citation format.
  • —Preserved source-reported values without analytical imputation.

Suggested Analyses

  • —Track workforce composition over time
  • —Compare employment patterns across groups
  • —Join with education, population, and sector data
  • —Build time-series views and period-over-period comparisons
  • —Pivot to geography x period or indicator x period matrices
  • —Check missingness before modeling
  • —Use country_iso3 as the safest geography join key when present

Citation

bibtex
@misc{electric_sheep_africa_africa_uganda_number_of_work_permits_issued_to_immigrant_workers_by_sex_4ac510d1_2016,
  title        = {Number of Work Permits Issued to Immigrant Workers by Sex | Africa (Uganda Bureau of Statistics)},
  author       = {Uganda Bureau of Statistics},
  year         = {2016},
  url          = {https://www.ubos.org/explore-statistics/0/},
  publisher    = {Hugging Face Datasets, engineered by Electric Sheep Africa},
  howpublished = {\url{https://huggingface.co/datasets/electricsheepafrica/africa-uganda-number-of-work-permits-issued-to-immigrant-workers-by-sex-4ac510d1}}
}

License

Released under other-open.

Original data is published by Uganda Bureau of Statistics. Electric Sheep Africa engineering standardizes the data for discovery, loading, and analysis on Hugging Face. Cite both the original source and this ML-ready dataset when used.

About Electric Sheep Africa

Electric Sheep Africa publishes ML-ready African public datasets on Hugging Face.


Provenance: README standardized 2026-08-12 by the Electric Sheep Africa README system. Source URL: https://www.ubos.org/explore-statistics/0/