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PROJECT 02 / HISTORICAL KENYA RESEARCH · PYTHON · SQL · POWER BI

Beyond Employment

Employment describes participation. What does it tell us about economic security?

Explore interactive dashboard ↗Read the full research case↓

The question

What does being employed tell us about economic security in Kenya? I examined household poverty, hours and job protection, keeping each survey’s population, year and definition separate.

KIHBS 2015/16 · PEOPLE AGED 15–64

29.7%

Employed, and living below the household consumption-poverty line.

Approximate design-based 95% interval: 28.4–30.9%. This historical survey estimate follows the survey’s native employment definition. It does not measure individual wages or Kenya’s current working-poverty rate.

How I tested the calculation

The analysis links 92,846 members to 21,773 households and their consumption aggregates without expanding member rows. Reconstructed employment rates and totals match 26 published benchmark figures. Weighted household consumption reproduces the published national poverty benchmarks.

Python performs the survey calculations. SQL independently checks the point estimates. Approximate intervals use released strata and clusters; they exclude finite-population corrections and measurement error.

A separate view of lived experience

In Afrobarometer Kenya 2024, 44.0% of respondents with a current full-time cash-income job reported family food deprivation at least once in the preceding year, using the household-adjusted weight. Current job status and past-year hardship have different reference periods. This is descriptive evidence, without a causal claim or a direct comparison to monetary poverty.

What this changes

Employment status is one useful indicator. For an analysis of economic security, I would also examine household resources, desired hours and job protection, while checking whose answers each measure includes.

Scope and limits

KCHSP 2020 national estimates remain withheld because usable survey weights and design guidance are unresolved. Earnings and harmonised underemployment claims are excluded. Context series are ILO-origin estimates distributed through World Bank WDI, with missing years preserved.

The interactive companion and a saved five-page Power BI Service report cover the supported historical analysis. The Service report requires permission; the companion above opens without an account. No Desktop PBIX or scheduled refresh is claimed.

A PAGE FROM THE RESEARCH

Work and poverty
can coexist.

Rural34.7%
Urban22.0%

Employed people aged 15–64 below the household consumption-poverty line · KIHBS 2015/16 · Historical descriptive groups.

01

Dashboard & research

Explore the comparisons and follow the full argument.

UNDER THE ESTIMATE

Keep the
denominator close.

  • 01
    29.7% employed & poorApproximate 95% interval: 28.4–30.9%
  • 02
    Household consumptionNot individual earnings
  • 03
    Separate surveysAfrobarometer 2024 is a different period and population
02

Definitions & methods

Check how the estimates and job-quality groups were defined.