Income, coverage and healthcare use

Connect household finance, insurance and healthcare use to compare recorded care patterns.

The record concepts include income / financial context, dated financial changes, affordability signals, dated encounters, care history, health-state events and household composition. Review household income at relevant care dates. Inspect changes and gaps in health coverage. Keep observation time and care-setting scope 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

Finance, Health, Households, Insurance

Catalogue structure

Longitudinal

Key features

Record concepts for your order-specific extract.

Who it is for

• Health economists
• public-health researchers
• insurers
• policy teams

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 recorded care frequency and settings alongside income and insurance continuity.

Record concepts for your extract

• income / financial context
• dated financial changes
• affordability signals
• dated encounters
• care history
• health-state events
• household composition

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

Use dated income and coverage periods; compare within-person changes and cohort differences while distinguishing missing records from an absence of care.

Proposed questions for your custom order

1. How do the frequency and settings of recorded healthcare use vary with household income and insurance continuity over time?
2. How does healthcare use vary across household income levels?
3. How does use of care differ between people with and without insurance?
4. Which households face the greatest financial strain after paying for healthcare?
5. Who loses or changes health coverage when employment changes?
6. Which households face large uncovered costs when a health event occurs?
7. How does use of different care settings vary across income groups?
8. How do coverage groups differ in the frequency and timing of recorded care?

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

• Confirm income, coverage and encounter dates. Utilization does not establish unmet need or financial protection; out-of-pocket expenditure is not verified.
• 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/
│   ├── finance_records.parquet
│   ├── health_records.parquet
│   ├── household_history.parquet
│   └── insurance_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.