The question
Account ownership is the headline indicator in financial inclusion and the one most programmes are measured against. Across India, Kenya, Indonesia and Viet Nam it has risen steeply, and in India the gender gap in ownership has closed outright — an outcome that was not obviously achievable when the first Findex round was collected in 2011.
Ownership is a gateway measure, though, and a gateway measure stops reporting once most people are through it. The question this exhibit puts to the same data is the one that follows: of the women who now hold accounts, how many are saving through them, and how has that changed?
What was achieved
The gains in the level of saving are large in every market. The share of all adult women saving at a financial institution or through mobile money rose in India from 7.1% to 22.8%, in Kenya from 19.2% to 49.1%, in Indonesia from 15.9% to 25.3%, and in Viet Nam from 13.7% in 2014 to 46.5%.
India's expansion is the largest in the set on both measures. Female account ownership went from 26.5% to 89.3%, a 3.4-fold increase, and the 17.3-point gender gap in ownership closed entirely — by 2024 women's ownership slightly exceeded men's. Female saving more than tripled over the same period, and the absolute gender gap in saving narrowed, from 8.9 points to 8.3.
The second question
Dividing the share who save by the share who own an account gives a rough measure of how much of the account-holding population is actually saving. In India that rate held steady: women converted at 26.8% in 2011 and 25.6% in 2024, men at 36.6% and 35.0%. Both groups' conversion stayed roughly where it was, so a far larger base of account holders produced proportionally the same result — and the difference between women and men in that rate, 9.8 points then and 9.5 now, did not close alongside the ownership gap.
These two series answer different questions and they moved differently. That is the point of putting them on one chart.
The benchmark
A rate that holds steady is only informative against something computed the same way. Applying the identical conversion measure to the income split — the poorest 40% against the richest 60%, same data, same years, same arithmetic — gives that comparison, and it is the more striking result.
In India the income conversion gap ran at −8.2 points in 2011, meaning poorer account holders saved through their accounts more than richer ones did. By 2024 it stood at +21.3. Kenya moved from 3.7 to 23.2, Indonesia from 13.7 to 26.1. In all three, the income gap in 2024 is more than twice the gender gap.
Viet Nam runs the other way
Viet Nam inverts the pattern. In 2024 Vietnamese women converted accounts into savings at 66.6% against 59.5% for men, and into digital merchant payments at 75.4% against 69.5%. Its income conversion gap, at 8.0 points, is the narrowest of the four and the only one that fell between rounds.
This matters for anyone designing across the four markets at once. A single approach premised on women under-using the accounts they hold would be aimed at a condition that does not hold in one of the four, and at the smaller of two gaps in the other three.
The numbers
| Country | Own. F first | Own. F 2024 | Own. gap first | Own. gap 2024 | Saved F first | Saved F 2024 | Conv. gap first | Conv. gap 2024 | Income conv. gap 2024 |
|---|
Method and limits
All figures come from the World Bank Global Findex database, source 28, retrieved from the World Bank indicator API on 29 October 2026. The 2024 column is the round published as the Global Findex Database 2025 in July 2025; it is the current release and supersedes Findex 2021. Viet Nam's intermediate round is 2022 where the other three are 2021, and its first observation on the savings indicator is 2014 rather than 2011.
Conversion is computed as the use indicator divided by the account indicator, within the same demographic cut, times 100. Indicators used: account.t.d, fin17a.17a1.d (saved at a financial institution or using a mobile money account), merchant.pay, fin2.t.d, with suffixes .1 female, .2 male, .7 poorest 40%, .8 richest 60%.
What this measure will not bear
- A conversion rate is not a count, and reading it alone will mislead. India's female conversion rate barely moved while the number of women behind it more than tripled. Both figures are reported here for that reason: the rate answers how much of the account-holding population saves, and the level answers how many women save. A programme is usually accountable for the second.
- Conversion is a ratio of two population-denominated rates, not a conditional probability. Numerator and denominator are both shares of all adults aged 15+ in the cut, so the ratio approximates use among owners without being measured on owners directly. It cannot be read as a probability for an individual.
- The measures are not strictly nested. Saving through mobile money implies an account and making a digital merchant payment generally does. Debit card ownership does not follow from account ownership in the same way, which is why the card series is excluded from the charts.
- Instrument substitution distorts the card series badly. Kenyan women's debit card conversion fell from 64.6% in 2011 to 16.6% in 2024. That is mobile money displacing cards, not access being lost. Any instrument-level indicator is unsafe as a proxy for use in a market where the dominant rail changed.
- Early-round ratios on small denominators are unstable. Indonesia's 2011 female conversion reads 82.6% on an ownership base of 19.2%. With a denominator that small the ratio moves sharply on little underlying change, so the 2011 Indonesian figures carry much wider uncertainty than the 2024 ones.
- Findex is self-reported survey data. Country-level estimates carry sampling error of a few percentage points, so differences of one or two points between cuts or rounds should not be treated as real. The movements this exhibit rests on — 17.3 to −0.4, 7.1 to 22.8, and −8.2 to 21.3 — are large enough to survive that. The smaller ones are not.
What follows from it
- Ownership is a saturating indicator and is nearly exhausted in two of these markets. At 89% for Indian women and 87% for Kenyan women, further effort against the ownership number has little left to buy, because the gateway it measures has largely been passed. Conversion has not saturated anywhere.
- Ownership and conversion answer different questions. A framework that tracks the first will not show whether the second moved. Reporting both, with the level alongside the rate, costs nothing and prevents the two most common misreadings in opposite directions.
- Targeting on gender alone misses the larger axis. Where the income conversion gap is two to three times the gender gap, the binding constraint on a poor woman is both at once. Segmentation that crosses the two finds a materially different population than either cut alone.
- Country-level design has to precede regional design. Viet Nam's reversal is not noise at this magnitude, and a single four-market approach would be wrong in one of them.
Prepared by Wilfred C. Ikejiofor, ChiResearch Technologies, LLC, as a worked analytical example. Not a client engagement and not commissioned by any institution named in it.
Source: World Bank, Global Findex Database 2025 (published July 2025), accessed via the World Bank indicator API, source 28, on 29 October 2026. Figures are reproducible from the indicator codes listed above.