Synthetic dataset
How do housing tenure and household finances change together?
Follow synthetic housing, household and employment histories to explore how tenure and financial circumstances move together over time.

RESEARCH-14 · Made-to-order synthetic dataset
- Entities represented
- Household-level
- Catalogue structure
- Longitudinal
- Custom city requests
- African Major Cities
- Dates and final scope
- Agreed with your quote
Overview
Connect tenure and housing circumstances with household financial and employment trajectories.
The record concepts include housing tenure, dwelling / occupancy history, residential transitions, household composition, membership changes, household lifecycle and income / financial context. Inspect recorded housing states and transitions. Review income and employment over the same periods. Keep timing distinct from claims of housing effects.
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, Households, Finance, Employment
- Catalogue structure
- Longitudinal
Key features
Record concepts for your order-specific extract.
Housing
Residence and recorded tenure history
Households
Membership and household circumstances
Finance
Income and financial context
Employment
Recorded jobs and dated work history
Who it is for
- Housing economists
- wealth researchers
- universities
- policy institutes
Data & Schema
- Entities represented
- Household-level
This identifies the entities described by the catalogue. The analytical row grain, eligibility, keys and dates are agreed for your extract.
Explore housing-tenure transitions alongside changes in household income and work.
Record concepts for your extract
- housing tenure
- dwelling / occupancy history
- residential transitions
- household composition
- membership changes
- household lifecycle
- 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
Define tenure states and dated transitions; compare income and employment before and after each transition, using consistent household identities.
Proposed questions for your custom order
- How are transitions between recorded housing-tenure states associated with changes in household income and employment over time?
- How do housing tenure and household finances change together?
- How do financial trajectories differ across tenure histories?
- What changes around a transition in housing tenure?
- How does household composition relate to these financial patterns?
- Do employment changes coincide with both housing and financial transitions?
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
- The listed fields provide financial context, not necessarily complete assets, liabilities or house valuations. Confirm any wealth measure before analysis.
- 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 │ ├── household_history.parquet │ ├── finance_records.parquet │ └── employment_records.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.