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Machine Learning · ML-03

Household Income Mobility Prediction

Model which synthetic households move between income bands over time, using prior earnings, employment and household context.

  • Synthetic records
  • Longitudinal
  • Nairobi + Lagos
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Scope & purpose

Connected scope

Connect household income, employment and membership changes to explore movement between income bands.

  • Households
  • Employment
  • Finance
  • Demographics

Define the prediction date and horizon. Keep earlier inputs separate from later outcomes.

Possible uses

Prediction prototyping · Feature exploration · Temporal validation · Cohort comparison

Who it is for

Economists · policy researchers · fintech teams · data scientists

Preview type
Illustrative format preview
Shows example structure and fields. It is not a sample extracted from the paid release.
Commercial availability
Confirmed in your written quote
The listed cities describe catalogue coverage. We confirm the exact release and available extract before agreement.
Starting-price basis
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Scope and supporting artifacts listed in the quote
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Paid dataset delivery

What you receive

SD delivery standard
Published cities
Nairobi + Lagos
Record scope
Household-level
Structure
Longitudinal

Striped Donkey delivery package

  • data/Agreed extract and formats
  • documentation/Schema, fields and relationships
  • evidence/Agreed release checks and limits
  • examples/Agreed loading and join examples
  • LICENSEApplicable rights
  • MANIFESTRelease and file inventory
  • CHECKSUMSSHA-256 fingerprints
  • DELIVERY_NOTEScope and handoff record

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Free evaluation preview

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15 illustrative rows · 11 fields · CSV

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Illustrative rows show the format. Your quote confirms delivered records, fields and time coverage.

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Fields and record structure

Listed features

Household-level · Longitudinal

  • household composition
  • membership changes
  • household lifecycle
  • employment spells
  • employer / work transitions
  • earnings context
  • income / financial context

Study question

Evaluation design

Can earlier earnings, employment and household changes predict which households move to a higher or lower income band over the next 12 months?

Fix band definitions and household identity rules; evaluate upward, downward and unchanged outcomes, using harmonized income periods and incomplete-follow-up flags.

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Evidence you can inspect

Source & limitations

Review release-specific methods and published checks. Preview rows show format and scope; they do not certify a dataset.

Supporting references
NairobiEvidenceSamples
LagosEvidenceSamples
MethodsGenerationReproduce

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Licence & delivery

Free preview

Use free samples under the public-use policy or their dataset-specific licence. Attribution is required for publication and research outputs.

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Purchased dataset

Your agreement defines the release, licensed organization, permitted uses and duration. Commercial model training, external applications and redistribution require explicit agreement.

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