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Gender Disaggregated
MSME Credit Analysis
Data provided by:Metropol Credit Reference Bureau
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Gender Disaggregated
MSME Credit Analysis
Outstanding value

The overall outstanding value across all reporting financial institutions is KES 0. This page focuses on how Outstanding value is split between gender categories.

Note: Jointly-Owned and Unknown gender categories are shown in the charts but excluded from the comparison above for clarity.

Gender gap
0 PP (PARITY)
Absolute difference in outstanding value share (percentage points).

By Product Type

Male-Owned
Female-Owned
Jointly-Owned
Unknown

Distribution by Gender

Shows the distribution of the selected metric across gender categories (Female-Owned, Male-Owned, Jointly-Owned, Unknown).

By Institution Type

Male-Owned
Female-Owned
Jointly-Owned
Unknown

Each bar sums to 100%. Segments show the gender composition within each institution type.

By Sector

Male-Owned
Female-Owned
Jointly-Owned
Unknown

Each bar sums to 100%. Segments show the gender composition within each sector.

By Client Type

Male-Owned
Female-Owned
Jointly-Owned
Unknown

By Collateral Status

Male-Owned
Female-Owned
Jointly-Owned
Unknown

By Loan Status

Male-Owned
Female-Owned
Jointly-Owned
Unknown

Trend Analysis

No recent data available for July 2025 onwards

Time trend of gender shares. Recent view shows Jul 2025+; use Historical to view 2020–2024.

Gender Gap Trend (Female − Male)

No recent gender gap data (Jul 2025+)

Shows how the gender gap changes over time, computed as Female share − Male share (Male + Female only). We display the absolute size in percentage points (pp) and label whether Women > Men or Men > Women.

Counties with Lowest Gender Gap

Ranks counties by the smallest absolute gender gap (Female share − Male share). Direction is shown next to the county label.

County gap data is not available for the current filter scope.

County Map — Gender Gap vs Overall (percentage points)

For each county, this shows the county-level gender gap (Female share − Male share) and compares it to the overall gap for the current filter scope. Positive deltas mean the county is better for women than the overall (a larger female advantage / smaller male advantage).

Map data is not available for the current filter scope.