Work gaps and subsequent healthcare use

Connect recorded work gaps, healthcare use and household context to study their timing and associations.

The record concepts include employment spells, employer / work transitions, earnings context, dated encounters, care history, health-state events and household composition. Inspect recorded job endings and later starts. Review encounter frequency and care settings around gaps. Keep age, household context and unfinished periods visible.

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, Health, Households, Demographics

Catalogue structure

Longitudinal

Key features

Record concepts for your order-specific extract.

Who it is for

• Health economists
• labour researchers
• universities
• policy institutes

Proposed study unit

Employment-gap episode

A proposed resident-linked employment gap with agreed care-observation periods before, during and after the gap. These comparisons describe associations; they do not establish a causal effect.

Compare recorded care use before, during and after employment gaps.

Record concepts for your extract

• employment spells
• employer / work transitions
• earnings context
• dated encounters
• care history
• health-state events
• household composition

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

Align on gap start and end; compare equivalent observation periods and baseline care histories, without interpreting temporal order alone as a causal effect.

Proposed questions for your custom order

1. How do recorded healthcare visits and care settings change before, during and after employment gaps across comparable age and household groups?
2. Which recorded health changes tend to follow a work interruption?
3. How does healthcare use change around a loss of work?
4. Who loses or changes health coverage when employment changes?
5. How does recorded healthcare use differ before and after a work gap begins?
6. Which health events precede rather than follow an employment interruption?
7. How do observed patterns vary with household circumstances and age?
8. Are the associations similar across shorter and longer work gaps?

Proposed research and analytical applications

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

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

• Check observation coverage, reverse timing and confounding. A work gap is not automatically unemployment, and an observed association is not a causal health effect.
• Synthetic records describe generated scenarios; they do not establish observed population prevalence or real-world causal effects.

Catalogue base price

$595 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

SD_RESEARCH_DATASET/
├── data/
│   ├── employment_records.parquet
│   ├── health_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.