Measurement model
| Demographic category | Sub-category | No. of respondents | % |
|---|---|---|---|
| Age | 18–30 | 360 | 45 |
| 31–40 | 200 | 25 | |
| 41–50 | 144 | 15 | |
| 51–60 | 40 | 5 | |
| 60+ | 56 | 7 | |
| Gender | Male | 496 | 62 |
| Female | 296 | 37 | |
| Other/non-binary | 8 | 1 | |
| Employment status | Employed | 380 | 47 |
| Self-employed | 200 | 25 | |
| Unemployed | 80 | 10 | |
| Student | 120 | 15 | |
| Retired | 20 | 2 | |
| Education level | No formal education | 40 | 5 |
| Primary education | 170 | 21 | |
| Intermediate/diploma | 190 | 24 | |
| Graduate | 220 | 22 | |
| Postgraduate | 180 | 27 | |
| Fintech usage | Regular users | 380 | 47 |
| Occasional users | 220 | 27 | |
| Rare users | 180 | 22 | |
| Non-users | 20 | 2 | |
| Bank account | Yes | 530 | 66 |
| No | 270 | 34 |
| Demographic category | Sub-category | No. of respondents | % |
|---|---|---|---|
| Age | 18–30 | 360 | 45 |
| 31–40 | 200 | 25 | |
| 41–50 | 144 | 15 | |
| 51–60 | 40 | 5 | |
| 60+ | 56 | 7 | |
| Gender | Male | 496 | 62 |
| Female | 296 | 37 | |
| Other/non-binary | 8 | 1 | |
| Employment status | Employed | 380 | 47 |
| Self-employed | 200 | 25 | |
| Unemployed | 80 | 10 | |
| Student | 120 | 15 | |
| Retired | 20 | 2 | |
| Education level | No formal education | 40 | 5 |
| Primary education | 170 | 21 | |
| Intermediate/diploma | 190 | 24 | |
| Graduate | 220 | 22 | |
| Postgraduate | 180 | 27 | |
| Fintech usage | Regular users | 380 | 47 |
| Occasional users | 220 | 27 | |
| Rare users | 180 | 22 | |
| Non-users | 20 | 2 | |
| Bank account | Yes | 530 | 66 |
| No | 270 | 34 |
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