FinScope 2024, Financial Inclusion in Rwanda
Rwanda
Get Microdata
Reference ID
RWA-NISR-FINSCOPE-2024-v01
Producer(s)
Access to Finance Rwanda
Metadata
Created on
Jul 09, 2025
Last modified
Jul 09, 2025
Page views
304888
Downloads
5974
- Data files
- Microdata
E18. Other, specify (e18_other_specify)
Data file: Microdata
Overview
Valid:
2410
Invalid:
0
Type:
Discrete
Width:
50
Range:
-
Format:
character
Questions and instructions
Categories
| Value | Category | Cases | |
|---|---|---|---|
| 0 | 29 |
1.2%
|
|
| Agriculture project | 2 |
0.1%
|
|
| Assistance | 3 |
0.1%
|
|
| Assistance from Government | 21 |
0.9%
|
|
| Assistance from NGOs | 7 |
0.3%
|
|
| Assistance from VUP | 1 |
0%
|
|
| Assistance from anybody | 12 |
0.5%
|
|
| Assistance from government | 1 |
0%
|
|
| Assistance fromGovernment | 1 |
0%
|
|
| Assisted by VUP | 1 |
0%
|
|
| Borrowed from Care | 1 |
0%
|
|
| Building a house | 2 |
0.1%
|
|
| Business | 3 |
0.1%
|
|
| Community | 1 |
0%
|
|
| Don't know | 1 |
0%
|
|
| Expanding agriculture kuburyo nzakuramo ubushobozi | 1 |
0%
|
|
| Extend my agricultural project | 11 |
0.5%
|
|
| Farming | 1 |
0%
|
|
| From his busines | 12 |
0.5%
|
|
| From his business | 3 |
0.1%
|
|
| From my business | 5 |
0.2%
|
|
| From rent of my huse | 1 |
0%
|
|
| Girinka ya Leta | 1 |
0%
|
|
| Good services | 1 |
0%
|
|
| Invest in agriculture | 99 |
4.1%
|
|
| Invest in business | 1 |
0%
|
|
| Invest in farming | 18 |
0.7%
|
|
| Invest in livestock | 29 |
1.2%
|
|
| Invest in wood plantation | 1 |
0%
|
|
| Invest inl business | 1 |
0%
|
|
| Just thinking on it | 83 |
3.4%
|
|
| Loan refused | 1 |
0%
|
|
| Maintain his wood plantation | 1 |
0%
|
|
| Money left | 1 |
0%
|
|
| No money | 1 |
0%
|
|
| Nothing | 1455 |
60.4%
|
|
| Prayer | 16 |
0.7%
|
|
| Praying only | 2 |
0.1%
|
|
| Raising livestock | 32 |
1.3%
|
|
| Rented a land | 7 |
0.3%
|
|
| SACCO leading | 1 |
0%
|
|
| Seeking for a job | 23 |
1%
|
|
| Set a business | 1 |
0%
|
|
| Sold Harvests | 115 |
4.8%
|
|
| Sold harvests | 280 |
11.6%
|
|
| Sold my land | 2 |
0.1%
|
|
| Thinking on it | 1 |
0%
|
|
| Training | 1 |
0%
|
|
| Used my salary | 3 |
0.1%
|
|
| Waiting for a credit | 1 |
0%
|
|
| Waiting for a refund | 1 |
0%
|
|
| Waiting for an assistance | 21 |
0.9%
|
|
| Waiting for any assistance | 46 |
1.9%
|
|
| Waiting for credit | 1 |
0%
|
|
| Waiting for driving license | 2 |
0.1%
|
|
| Waiting for government aid | 1 |
0%
|
|
| Waiting for my driving license | 2 |
0.1%
|
|
| Waiting for training | 1 |
0%
|
|
| abonye igishoro niyo ntego afite | 1 |
0%
|
|
| agriculture | 1 |
0%
|
|
| bought a cow but it died before she could sell | 1 |
0%
|
|
| bought acow hope to sell in the future | 1 |
0%
|
|
| bought land | 1 |
0%
|
|
| bought livestock but they died | 1 |
0%
|
|
| bought seeds to grow but the harvest wasnt good | 1 |
0%
|
|
| bought small banana plantation to get the money | 1 |
0%
|
|
| did nothing specific | 1 |
0%
|
|
| did nothing specific apart from working harder | 1 |
0%
|
|
| did nothing specific apart from wroking | 1 |
0%
|
|
| digukora ibitaka kugira mbone amafraga | 1 |
0%
|
|
| digushakisha mpinga | 1 |
0%
|
|
| does have a shop where he retails | 1 |
0%
|
|
| does have a small shop | 1 |
0%
|
|
| doing farming and hope to harvest and sell | 1 |
0%
|
|
| doing nothing | 1 |
0%
|
|
| doing over time work to get money to save | 1 |
0%
|
|
| farmed but didnt harvest | 1 |
0%
|
|
| farmed but the harvest was not good due climate ch | 1 |
0%
|
|
| farming but natural disasters destroy their yields | 1 |
0%
|
|
| grow avocados failed to harvests due to lack ferti | 1 |
0%
|
|
| growing passion fruits,avocado to reach that goal | 1 |
0%
|
|
| making a budget | 1 |
0%
|
|
| making mats and selling | 1 |
0%
|
|
| money got from coffee | 1 |
0%
|
|
| started saving in the bibina | 1 |
0%
|
|
| used to be a mobile agent but made loss | 1 |
0%
|
|
| used to have a bar | 1 |
0%
|
|
| used to have a shop but it failed later | 1 |
0%
|
|
| used to sell shoes but then failed | 1 |
0%
|
|
| xx | 6 |
0.2%
|
Warning: these figures indicate the number of cases found in the data file. They cannot be interpreted as summary statistics of the population of interest.