Household Flood Impacts and Future Risk Perceptions in Ndanu, Kinshasa: Survey Dataset Following the April–May 2025 Floods
Domaine:
climatesocioeconomicType de record:
Dataset description
This dataset contains anonymized household survey data collected in June 2025 in the Ndanu neighbourhood, Limete municipality, Kinshasa, Democratic Republic of the Congo, following the severe flooding of April–May 2025. It supports the associated publication examining the risk-perception paradox and its implications for flood-risk management under climate change in fragile, conflict- and violence-affected settings.
The dataset includes 744 respondents. Each row represents one respondent, while the variables cover:
- Gender, monthly household income category, and length of residence in the neighbourhood.
- Maximum floodwater height recorded during the 2025 flooding.
- Household experience of flooding between 2020 and 2025.
- Frequency of flooding during the 2025 event.
- Impacts experienced during the 2025 flooding, including deterioration of walls and structural columns, persistent water inside the house, land or floor subsidence, damage to foundations, door misalignment, persistent moisture, and corrosion of metal items.
- Perceived likelihood of flooding during the September–December 2025 and February–April 2026 rainy seasons.
- Predicted floodwater levels during these two periods.
Flood likelihood was evaluated for six locations:
- Respondent’s home
- Respondent’s avenue
- Public square at the junction of the main avenues, including children’s play areas and a local market
- Commercial avenue lined with shops
- Former irrigation site previously used for rice cultivation
- Roadside market avenue
For each location, flood likelihood is provided both as a categorical response and as its corresponding numerical code on a five-point Likert scale, ranging from 1 (“Very unlikely”) to 5 (“Very likely”). Predicted floodwater levels are similarly provided in categorical and numerically coded formats. The following table describes the variables:
|
Variable name |
Definition |
Type / coding |
|
gender |
Gender of the respondent |
Categorical: Male, Female |
|
income |
Respondent’s monthly household income category |
Ordinal: 0–250, 251–500, 501–750, 751–1000 USD |
|
duration |
Length of time the respondent has lived in the study area |
Ordinal: 0–5, 6–10, 11–15, 16–20, More than 20 years |
|
height2025 |
Floodwater height reached during the April–May 2025 flooding, measured from marks left on house walls |
Continuous numeric variable, metres |
|
flooded2020 |
Indicates whether the respondent’s household experienced flooding in 2020 |
Binary: Yes, No |
|
flooded2021 |
Indicates whether the household experienced flooding in 2021 |
Binary: Yes, No |
|
flooded2022 |
Indicates whether the household experienced flooding in 2022 |
Binary: Yes, No |
|
flooded2023 |
Indicates whether the household experienced flooding in 2023 |
Binary: Yes, No |
|
flooded2024 |
Indicates whether the household experienced flooding in 2024 |
Binary: Yes, No |
|
flooded2025 |
Indicates whether the household experienced flooding in 2025 |
Binary: Yes, No |
|
floodevent2025 |
Number of times the household experienced flooding during 2025 |
Ordinal: Once, 2 to 3 times, More than 3 times |
|
impact1 |
Deterioration of house walls experienced during the April 2025 flooding |
Binary: Yes, No; impact assessed during the weeks following the flood |
|
impact2 |
Persistent flooding inside the house following the April 2025 flooding |
Binary: Yes, No; impact assessed during the weeks following the flood |
|
impact3 |
Land or floor subsidence following the April 2025 flooding |
Binary: Yes, No; impact assessed during the months following the flood |
|
impact4 |
Damage to house foundations following the April 2025 flooding |
Binary: Yes, No; impact assessed during the weeks following the flood |
|
impact5 |
Misalignment of doors following the April 2025 flooding |
Binary: Yes, No; impact assessed during the months following the flood |
|
impact6 |
Persistent moisture inside the house following the April 2025 flooding |
Binary: Yes, No; impact assessed during the months following the flood |
|
impact7 |
Corrosion of metal items following the April 2025 flooding |
Binary: Yes, No; impact assessed during the weeks following the flood |
|
impact8 |
Deterioration of house columns following the April 2025 flooding |
Binary: Yes, No; impact assessed during the months following the flood |
|
likelihoodsept1f |
Categorical perceived likelihood of flooding at the respondent’s home during September–December 2025 |
Very unlikely, Unlikely, Moderately likely, Likely, Very likely |
|
likelihoodsept1n |
Numeric version of likelihoodsept1f |
1 = Very unlikely; 2 = Unlikely; 3 = Moderately likely; 4 = Likely; 5 = Very likely |
|
likelihoodsept2f |
Categorical perceived likelihood of flooding on the respondent’s avenue during September–December 2025 |
Five-point likelihood scale |
|
likelihoodsept2n |
Numeric version of likelihoodsept2f |
Integer from 1 = Very unlikely to 5 = Very likely |
|
likelihoodsept3f |
Categorical perceived likelihood of flooding in the public square during September–December 2025. The location is a public open space at the junction of the main avenues, including children’s play areas and a local market |
Five-point likelihood scale |
|
likelihoodsept3n |
Numeric version of likelihoodsept3f |
Integer from 1 = Very unlikely to 5 = Very likely |
|
likelihoodsept4f |
Categorical perceived likelihood of flooding on the commercial avenue during September–December 2025. This is the main avenue lined on both sides by shops selling manufactured goods |
Five-point likelihood scale |
|
likelihoodsept4n |
Numeric version of likelihoodsept4f |
Integer from 1 = Very unlikely to 5 = Very likely |
|
likelihoodsept5f |
Categorical perceived likelihood of flooding at the former irrigation site during September–December 2025. This is a former rice-growing site where functional irrigation gates remain |
Five-point likelihood scale |
|
likelihoodsept5n |
Numeric version of likelihoodsept5f |
Integer from 1 = Very unlikely to 5 = Very likely |
|
likelihoodsept6f |
Categorical perceived likelihood of flooding on the roadside market avenue during September–December 2025. This is the main avenue bordered by roadside shops selling manufactured goods |
Five-point likelihood scale |
|
likelihoodsept6n |
Numeric version of likelihoodsept6f |
Integer from 1 = Very unlikely to 5 = Very likely |
|
waterlevelseptf |
Categorical predicted floodwater level during September–December 2025 |
0–0.25 m, 0.26–0.50 m, 0.51–0.75 m, 0.76–1 m, 1–1.50 m, More than 1.50 m |
|
waterlevelseptn |
Numeric version of waterlevelseptf |
1 = 0–0.25 m; 2 = 0.26–0.50 m; 3 = 0.51–0.75 m; 4 = 0.76–1 m; 5 = 1–1.50 m; 6 = More than 1.50 m |
|
likelihoodapril1f |
Categorical perceived likelihood of flooding at the respondent’s home during February–April 2026 |
Very unlikely, Unlikely, Moderately likely, Likely, Very likely |
|
likelihoodapril1n |
Numeric version of likelihoodapril1f |
1 = Very unlikely; 2 = Unlikely; 3 = Moderately likely; 4 = Likely; 5 = Very likely |
|
likelihoodapril2f |
Categorical perceived likelihood of flooding on the respondent’s avenue during February–April 2026 |
Five-point likelihood scale |
|
likelihoodapril2n |
Numeric version of likelihoodapril2f |
Integer from 1 = Very unlikely to 5 = Very likely |
|
likelihoodapril3f |
Categorical perceived likelihood of flooding in the public square during February–April 2026. The location is a public open space at the junction of the main avenues, including children’s play areas and a local market |
Five-point likelihood scale |
|
likelihoodapril3n |
Numeric version of likelihoodapril3f |
Integer from 1 = Very unlikely to 5 = Very likely |
|
likelihoodapril4f |
Categorical perceived likelihood of flooding on the commercial avenue during February–April 2026. This is the main avenue lined on both sides by shops selling manufactured goods |
Five-point likelihood scale |
|
likelihoodapril4n |
Numeric version of likelihoodapril4f |
Integer from 1 = Very unlikely to 5 = Very likely |
|
likelihoodapril5f |
Categorical perceived likelihood of flooding at the former irrigation site during February–April 2026. This is a former rice-growing site where functional irrigation gates remain |
Five-point likelihood scale |
|
likelihoodapril5n |
Numeric version of likelihoodapril5f |
Integer from 1 = Very unlikely to 5 = Very likely |
|
likelihoodapril6f |
Categorical perceived likelihood of flooding on the roadside market avenue during February–April 2026. This is the main avenue bordered by roadside shops selling manufactured goods |
Five-point likelihood scale |
|
likelihoodapril6n |
Numeric version of likelihoodapril6f |
Integer from 1 = Very unlikely to 5 = Very likely |
|
waterlevelaprilf |
Categorical predicted floodwater level during February–April 2026 |
0–0.25 m, 0.26–0.50 m, 0.51–0.75 m, 0.76–1 m, 1–1.50 m, More than 1.50 m |
|
waterlevelapriln |
Numeric version of waterlevelaprilf |
1 = 0–0.25 m; 2 = 0.26–0.50 m; 3 = 0.51–0.75 m; 4 = 0.76–1 m; 5 = 1–1.50 m; 6 = More than 1.50 m |
The dataset is provided as a Microsoft Excel file. To protect participants’ privacy, geographic coordinates and other directly identifying information are excluded from the publicly available dataset. The data can support research on urban flooding, household vulnerability, flood-risk perception, anticipatory behaviour, and disaster-risk management in rapidly urbanising and infrastructure-constrained settings.