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Synthetic dataset

Youth pathways into employment

Examine how education, work gaps and household circumstances relate to young people's entry into employment.

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RESEARCH-02 · Made-to-order synthetic dataset

Entities represented
Resident-level
Catalogue structure
Longitudinal
Custom city requests
African Major Cities
Dates and final scope
Agreed with your quote

Overview

RESEARCH-02ResearchMade to order

Connect education, work transitions and household circumstances to study recorded employment gaps among younger residents.

The record concepts include employment spells, employer / work transitions, earnings context, enrolment history, qualification / completion, education transitions and household composition. Inspect dated starts in recorded employment. Review study, work gaps and household context. Keep age ranges and observation time explicit.

This dataset is prepared to order. Choose the city, date range and required scope; the accepted order defines the population, final fields, formats and delivery.

Onboarded city options
Nairobi (Kenya) · Lagos (Nigeria)
Custom city requests
African Major Cities · Additional cities require availability, scope and quote confirmation.
Data type
Synthetic
Connected domains
Employment, Education, Households, Demographics
Catalogue structure
Longitudinal

Key features

Record concepts for your order-specific extract.

Employment

Recorded jobs and dated work history

Education

Enrolment, progression and qualification history

Households

Membership and household circumstances

Demographics

Age, identity and resident context

Who it is for

  • Labour economists
  • workforce researchers
  • universities
  • policy institutes

Data & Schema

Entities represented
Resident-level

This identifies the entities described by the catalogue. The analytical row grain, eligibility, keys and dates are agreed for your extract.

Explore education, work-gap and household sequences associated with earlier recorded work entry.

Record concepts for your extract

  • employment spells
  • employer / work transitions
  • earnings context
  • enrolment history
  • qualification / completion
  • education transitions
  • household composition

The agreed specification defines the final columns, keys, relationships and observation period for your order.

Illustrative format preview

Example columns and rows illustrate the proposed format; they do not verify paid-release records, fields or relationships.

Proposed preview columns

Selected fields · 10 of 11 columns

  • outcome_or_task
  • qualification_completion
  • household_composition
  • city
  • synthetic_preview
  • employment_spells
  • employer_work_transitions
  • earnings_context
  • enrolment_history
  • education_transitions
All proposed preview columns 11 columns

These names describe the illustrative preview. Final fields and definitions are agreed for your order.

Study, context and observation fields
  • city
  • synthetic_preview
  • employment_spells
  • employer_work_transitions
  • earnings_context
  • enrolment_history
  • qualification_completion
  • education_transitions
  • household_composition
  • outcome_or_task
Technical identifiers and evidence references
  • sample_record_id

Use Cases

State the youth age range and starting event; compare transition times and pathway frequencies while retaining those without an observed employment entry.

Proposed questions for your custom order

  1. Which education, work-gap and household pathways are associated with earlier entry into recorded employment among young people?
  2. Which young people spend extended periods outside work and education?
  3. Which young people take longest to enter a first recorded job?
  4. How do work gaps vary by education and household circumstances?
  5. Which pathways include repeated movement between education and work?
  6. How do these patterns differ across comparable age groups and cities?

Proposed research and analytical applications

  • Cohort comparison
  • Longitudinal analysis
  • Research design
  • Sensitivity analysis

Methodology & Quality

Data generation
FCTE synthetic city engine
Data classification
Synthetic

FCTE generation methods and published city/domain checks provide source context. The order defines the final extract and the release-specific checks, documentation and limitations supplied with it.

Known limitations

  • State the youth age range. Formal unemployment needs job-search and availability measures; NEET additionally needs training participation, which is unverified.
  • Synthetic records describe generated scenarios; they do not establish observed population prevalence or real-world causal effects.

Delivery & License

Catalogue base price
$395 USD
Price basis
Base price per selected city
Availability
Prepared after order

The displayed catalogue amount is a base price per selected city. Your requested dates, population, fields, formats and usage rights determine the agreed scope and final quote. Applicable published discounts and taxes are confirmed with that quote.

Your prepared package

Your order confirms the data files, documentation, evidence, examples and release controls included in the prepared package.

  • Agreed data extract
  • Schema and field documentation
  • Release-specific evidence and limitations
  • Agreed loading or analysis examples
  • Licence, manifest, checksums and delivery note

Package layout

Illustrative filenames. Your agreed order lists the final files and formats. Certification, benchmark splits and model examples are included only when specified.

SD_RESEARCH_DATASET/
├── data/
│   ├── employment_records.parquet
│   ├── education_records.parquet
│   ├── household_history.parquet
│   └── citizens.parquet
├── documentation/
│   ├── README.md
│   ├── DATA_DICTIONARY.csv
│   ├── SCHEMA.md
│   └── METHODOLOGY.md
├── evidence/
│   ├── CERTIFICATION.json
│   ├── VALIDATION_REPORT.pdf
│   └── KNOWN_LIMITATIONS.md
├── MANIFEST.json
├── CHECKSUMS.sha256
└── LICENSE.pdf

Delivery process

Confirm the cities, date range, records, formats, rights and price in writing. The order-specific extract is then prepared and supplied under the agreed payment and delivery conditions.

One secure download package for the agreed release and licensed entity.

Delivery timing, access expiry, formats and prerequisites are confirmed in the accepted order.

Support, refreshes, future releases, hosting and APIs are included only when expressly ordered.

Data Licensing Agreement · 2026-10

A non-exclusive, non-transferable licence for the named customer within the accepted scope and duration.

Permitted use
Internal research, development, testing and analytics within the accepted order.
Model training
Model training, external applications, commercial distribution and access by other legal entities must be expressly addressed in the order.
Redistribution
Raw or substantially reconstructable data cannot be resold, published or redistributed without separate written authorization.
Attribution
Preserve release provenance and applicable third-party notices. Published outputs must identify the data as synthetic.

FAQ

Is this real personal data?

No. The records are synthetic and do not represent actual identifiable people or reproduce an individual's historical experience.

What does the catalogue price cover?

The displayed amount is a base price per selected city. The final scope and quote are agreed for your requested dates, population, fields, formats and rights. Adding a dataset to the cart starts the existing checkout inquiry; it does not purchase an unrestricted custom extract.

What can I inspect before ordering?

Inspect the illustrative CSV format preview and planned record concepts. Example rows do not establish the full paid schema or release coverage.

Is the dataset prepared for my requested dates?

Yes. Regular and Research datasets are prepared after an order, with the city, date range, population and other required scope agreed before preparation.

Can records be joined across domains?

The profile explains the intended relationships. The order-specific schema documents the supported keys, effective dates and joins for your agreed extract.

Can I use the dataset for AI or machine learning?

Review the study-specific inputs, outcomes and information cutoffs. The commercial order must expressly address model training and external applications. Public samples allow non-commercial AI and ML experimentation under the current free-sample policy.

Can I use the data commercially?

Commercial use follows the accepted dataset-specific scope and licence. A sample download, cart selection, inquiry or consent checkbox does not activate a commercial licence or complete payment.

Can I request another city, period or format?

Yes. Use Data Request to describe the required city, population, dates, record concepts and formats. Onboarded city options for this product: Nairobi and Lagos. Other African major cities can be requested; availability, scope and the quote must be confirmed.

What documentation and evidence are included?

The accepted order confirms the schema, methodology, evidence, examples and release controls supplied with your prepared extract.

How do I receive the dataset?

After scope, terms and payment conditions are agreed, Fidelra Africa prepares the order-specific extract and supplies it through a secure download package. Timing and download-access expiry are defined in the order.

Need different data?

Tell us the entities, fields, cities and time span you need.

Request custom data