Data Hub · Alliance Analytics

Measuring the value of the Female Economy

The Female Economy Analytics Survey (FEAS) is the only global collection of gender-disaggregated financial data measuring how institutions perform in serving Women’s Markets. These are the latest results, drawn from members’ 2024 performance data.

financial institutions
0
countries
0
annual edition
0 th
of Alliance membership
0 %
of data collection
0 yrs

Alliance members' collective impact

What the network delivered

The reach of reporting members, added up.
Women customers served
0 M
Credit outstanding to women
$ 0 B
Savings held by women
$ 0 B
Women who accessed non-financial services
0 M
Women MSMEs served
0 M

NON-FINANCIAL SERVICES

Most members go beyond banking

Members back women customers with education, networking, information and recognition. These are the four services most commonly offered.
Workshops and trainings
0 %
Networking events
0 %
Consulting or advisory services
0 %
Awards
0 %

Headline stats

Four numbers that tell the story

Women as % of total customers
0 %
39% (2020)
Women-led SME avg loan size (as % of men-led)
0 %
67% (2020)
Women's average Net Promoter Score
0
54 (men)
Women as % of senior managers
0 %
33% (2020)

The business case

Women are great customers, and the data proves it

Members back women customers with education, networking, information and recognition. These  are the four services most commonly offered.

NON-FINANCIAL SERVICES

Most members go beyond banking

Three reasons for serving Women’s Markets.
84%

of Alliance members offer non-financial services (NFS) designed specifically for women Members back women customers with education, networking, information and recognition. These are the four services most commonly offered.

Workshops and trainings 82%
Networking events 80%
Consulting or advisory services 65%
Awards 61%

The four most commonly offered non-financial services. % of members providing each.

Diversity & inclusion

Women in leadership, the gap is closing ​

Members back women customers with education, networking, information and recognition. These  are the four services most commonly offered.

% women employees per level (2024)

Board 35%
Senior Managers 44%
Managers 45%
Professionals 52%
Operations 57%

% women in leadership, 2020 → 2024

Managers
37% 2020
38% 2021
41% 2022
44% 2023
45% 2024
Senior Managers
33% 2020
30% 2021
38% 2022
43% 2023
44% 2024
Board Members
25% 2020
36% 2021
33% 2022
34% 2023
35% 2024

Explore the data

Performance by segment

Pick a customer segment to see how women are represented and how they perform.
Women customers
46%
% of loan volume
35%
% of savings volume
40%
Loan size vs men (2024)
97%
Loan size vs men (2022)
87%
Credit risk — NPL, women
4.3%
Credit risk — NPL, men
5.8%
Women customers
40%
% of loan volume
29%
% of savings volume
40%
Loan size vs men (2024)
75%
Loan size vs men (2022)
71%
Credit risk — NPL, women
1.6%
Credit risk — NPL, men
2.1%
Women customers
39%
% of loan volume
40%
% of savings volume
34%
Loan size vs men (2024)
89%
Loan size vs men (2022)
76%
Credit risk — NPL, women
3.2%
Credit risk — NPL, men
4.0%
Women customers
27%
% of loan volume
22%
% of savings volume
24%
Loan size vs men (2024)
88%
Loan size vs men (2022)
67%
Credit risk — NPL, women
5.2%
Credit risk — NPL, men
5.5%

Go deeper

The full report breaks the data down by region and segment. Members who report also receive an
individualized benchmarking report comparing their performance to regional and global peers.

“Participating in FEAS and the benchmarking report helped me prove the business case to my new management, four years after launching the program.”