electricsheepafrica/africa-synth-education-technical-vocational-training-comoros

⚠️ Synthetic dataset — Parameterized from published SSA literature, not real observations. Not suitable for empirical analysis or policy inference.

Technical Vocational Training Outcomes - Sub-Saharan Africa

Synthetic dataset modeling Technical and Vocational Education and Training (TVET) outcomes across 10 Sub-Saharan African countries, including completion rates, employment outcomes, and skills acquisition based on ILO TVET reports and UNESCO-UNEVOC monitoring.

Key Statistics

Metric	Value
Total Records	15,000
Countries	10
Years	2018-2025
Scenarios	3 (low/moderate/high burden)

Sample Statistics:

• Completion Rate: ~60%
• Post-Training Employment: ~53%
• Average Monthly Salary: ~$130 USD
• Industry Attachment Rate: ~28%

Column Descriptions

Column	Type	Description
trainee_id	string	Unique trainee identifier
country	string	Country name
year	int	Record year
enrollment_year	int	Year of enrollment
institution_type	string	Public/Private/NGO/Industry
training_level	string	Certificate/Diploma/Advanced diploma/Degree
trade_area	string	Trade/skill area
sex	string	Male/Female
age	int	Trainee age
location	string	Urban/Peri-urban/Rural
prior_education	string	Prior education level
training_duration_months	int	Training duration in months
completed	bool	Completed training
completion_year	int	Year of completion
dropout_reason	string	Reason for dropout
practical_hours_total	int	Total practical training hours
theory_hours_total	int	Total theory training hours
practical_ratio	float	Practical training ratio
industry_attachment	bool	Completed industry attachment
attachment_duration_weeks	int	Attachment duration
industry_placement	string	Type of industry placement
equipment_adequacy	string	Equipment quality rating
instructor_industry_experience	bool	Instructor has industry experience
instructor_qualification	string	Instructor qualification level
curriculum_relevance	float	Curriculum relevance score
assessment_method	string	Assessment method type
certification_type	string	Type of certification
skill_match	string	Skills match to job market
technical_skill_score	int	Technical skills score (0-100)
employability_skill_score	int	Employability skills score
entrepreneurship_skill_score	int	Entrepreneurship skills score
digital_skill_score	int	Digital skills score
overall_competency	float	Overall competency score
employed	bool	Currently employed
employment_type	string	Formal wage/Self-employed/Informal/Apprentice
employment_sector	string	Employment sector
monthly_salary_usd	int	Monthly salary in USD
job_search_duration_months	int	Job search duration
job_matching_field	bool	Job matches training field
skills_utilization	float	Skills utilization rate
job_satisfaction	int	Job satisfaction score
further_education	bool	Pursuing further education
income_contribution_household	float	Income contribution to household
entrepreneurship_intention	bool	Intends to start business
business_started	bool	Has started own business
employees_count	int	Number of employees (if business)
credit_access	bool	Has access to credit
support_programs	bool	Receives support program
alumni_network	bool	Part of alumni network
professional_association	bool	Member of professional association

Usage Example

import pandas as pd

# Load the dataset
df = pd.read_csv('technical_vocational_training_outcomes_moderate_burden.csv')

# Analyze TVET outcomes by country
tvet_by_country = df.groupby('country').agg({
    'completed': 'mean',
    'employed': 'mean',
    'monthly_salary_usd': 'mean',
    'industry_attachment': 'mean'
}).round(2)

print(tvet_by_country)

# Employment outcomes by trade area
trade_outcomes = df[df['completed']].groupby('trade_area').agg({
    'employed': 'mean',
    'job_matching_field': 'mean',
    'monthly_salary_usd': 'mean'
})
print(trade_outcomes)

Research Sources

• ILO TVET reports 2023
• UNESCO-UNEVOC monitoring
• African Union Continental TVET Strategy
• World Bank employment surveys (2023)
• TVET institution surveys (2023)

Citation

@dataset{technical_vocational_training_outcomes,
  title={Technical Vocational Training Outcomes - Sub-Saharan Africa},
  author={Electric Sheep Africa},
  year={2024},
  publisher={HuggingFace},
  license={CC-BY-4.0}
}