Synthetic dataset
What changes before households become homeowners?
Examine synthetic pathways into ownership alongside prior tenure, household circumstances, employment and financial context.

RESEARCH-13 · 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
Connect housing transitions, household composition, employment and finance to study pathways into ownership.
The record concepts include ownership transition date, prior tenure, financial context, housing tenure, dwelling / occupancy history, residential transitions and income / financial context. Inspect the first qualifying recorded tenure transition. Connect employment, finances and household composition. Define comparable groups and retain incomplete histories.
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
- Housing, Finance, Employment, Households
- Catalogue structure
- Longitudinal
Key features
Record concepts for your order-specific extract.
Housing
Residence and recorded tenure history
Finance
Income and financial context
Employment
Recorded jobs and dated work history
Households
Membership and household circumstances
Who it is for
- Housing economists
- planners
- universities
- policy teams
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 work, financial and household changes preceding recorded homeownership.
Record concepts for your extract
- ownership transition date
- prior tenure
- financial context
- housing tenure
- dwelling / occupancy history
- residential transitions
- income / financial context
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
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
Technical identifiers and evidence references
Use Cases
Align histories to first observed ownership and comparable baseline non-owners; report prior ownership uncertainty and avoid reading sequence as causation.
Proposed questions for your custom order
- Which employment, financial and household changes precede recorded entry into homeownership, and how do these pathways differ across comparable cohorts?
- Which households are likely to move from renting into ownership?
- Which tenure histories most often precede ownership?
- How do financial circumstances differ before and after the transition?
- Which household changes coincide with entering ownership?
- How do pathways differ between households with different employment histories?
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
- Compare longitudinal associations with explicit observation windows; the records alone do not establish causes of ownership.
- Synthetic records describe generated scenarios; they do not establish observed population prevalence or real-world causal effects.
Delivery & License
- Catalogue base price
- $495 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/ │ ├── housing_records.parquet │ ├── finance_records.parquet │ ├── employment_records.parquet │ └── household_history.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.