Kenya County Socioeconomic Profile Dataset
Purpose
To create a structured county-level dataset for Kenya covering population, education, health, employment, poverty, infrastructure, agriculture, and selected economic indicators.
Source Datasets & Licences
Planned sources: Kenya National Bureau of Statistics publications, county statistical abstracts, census publications, and other authorised public data sources.
Every source will be reviewed individually before publication. The final dataset will include a complete provenance table showing source, URL, retrieval date, variables used, licence or access conditions, transformations, and citation.
What You Will Learn
- Extracting structured data from official reports and publications
- Building a county-level master dataset
- Standardising county names, codes, years, and indicators
- Designing a useful county codebook
- Documenting data gaps and comparability limitations
- Preparing data for local research, policy, NGO, and business use
Expected Tasks
Participants may be assigned to:
- Identify and extract authorised county-level indicators
- Enter and verify structured values from source publications
- Standardise county names and codes
- Clean duplicates, missing values, and formatting issues
- Cross-check values against original publications
- Develop codebook entries and source citations
- Support final quality review and county coverage checks
Timeline & Weekly Commitment
- Week 1: Orientation, source map, county/indicator allocation
- Week 2: Data extraction and structured entry
- Week 3: Cleaning, standardisation, and validation
- Week 4: Merging and quality checks
- Week 5: Codebook, provenance, and documentation
- Week 6: Final review, corrections, and project presentation
Expected commitment: 5–7 hours per week.
Fee & What It Covers
Your $30 participation fee covers project coordination, extraction templates, guided workflow, review support, documentation resources, contributor administration, and a certificate for qualifying participants.
Contributor Recognition Requirements
To be listed as a verified contributor, you must complete assigned tasks, provide traceable source references, meet validation standards, submit revisions where required, and comply with project deadlines.
Project Rules & Consent
Participants must use only assigned or approved sources, accurately record citations, and never fabricate, estimate, or alter values without documented approval. The project is collaborative; all completed work is reviewed before inclusion in the final DataLab dataset.