Which household and housing patterns shape energy demand?

Connect household energy use with housing and household characteristics.

The record concepts include consumption history, dwelling context, household composition, energy-use context, household energy signals, housing tenure and dwelling / occupancy history. Inspect use within comparable billing periods. Review housing and occupancy characteristics. Keep composition and observation lengths consistent.

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

Energy, Housing, Households

Catalogue structure

Longitudinal

Key features

Record concepts for your order-specific extract.

Who it is for

• Utilities
• energy planners
• housing researchers
• sustainability teams

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.

Compare recorded energy use across dwelling, occupancy and household circumstances.

Record concepts for your extract

• consumption history
• dwelling context
• household composition
• energy-use context
• household energy signals
• housing tenure
• dwelling / occupancy history

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

Normalize for billing-period length and document meter coverage; distinguish household-level consumption from shared-meter or dwelling-level readings.

Proposed questions for your custom order

1. How does recorded energy consumption vary with dwelling characteristics, occupancy and household composition across comparable billing periods?
2. How does demand differ across dwelling and occupancy patterns?
3. How do household formation and residential moves coincide with energy-use changes?
4. How does energy use vary across household sizes and composition?
5. Which housing or occupancy patterns accompany higher demand?
6. How does demand change as household circumstances evolve?
7. Which consumption patterns persist across the available timeline?

Proposed research and analytical applications

• Exploratory analysis
• Cohort comparison
• Planning scenarios
• Data workflow prototyping

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 energy units, dates and housing fields. Bills, tariffs, appliances and causal efficiency impacts are not included by implication.
• Synthetic records describe generated scenarios; they do not establish observed population prevalence or real-world causal effects.

Catalogue base price

$295 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/
│   ├── energy_records.parquet
│   ├── housing_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.