Datasets on Climate Change Adaptation
In an effort to connect stakeholders with new data on climate change adaptation actions in Africa and Asia, UNDP is partnering with various sectors of academia, civil society and the private sector to share and analyze datasets gathered through UNDP-supported initiatives across the globe. These datasets will be made available upon request, as a new sharing platform is being developed.
This new initiative is in its nascent stage. Working with academics from leading institutions such as Harvard and Yale, along with partner governments, civil society, think tanks and private-sector partners, UNDP is building a proof of concept and working model to share data and improve analysis.
The overall goal is simple: evidence-based decision-making has the potential to significantly improve the impact of global investments in climate actions. To learn more about the data available and the coalition that is currently forming, please sign up below.
About the data available
Current datasets are available from Africa and Asia. These datasets were collected through UNDP-supported initiatives on the Economics of Climate Change Adaptation in Asia (ECCA) and Climate Information and Early Warning Systems Projects in Africa.
Household surveys were conducted in various countries and will be made available for download and analysis. Future datasets will also be shared with this coalition.
The questionnaire was first translated into the local language and tested twice with local farmers. The data were collected in 2014 by a national team with 300 household surveys. Datasets are available from Bangladesh, Indonesia, Sri Lanka, Thailand and Viet Nam. Information collected in the questionnaire included the following:
- Past experience on climate change, communications and adaptation response. Interviewees were asked about their perception about climate change and current sources of weather information.
- Detailed farming area information. The survey collected information on farm planting area, fallow land area, and the division of the plots by crops and other livelihood by the household.
- Household information. Detailed information on household members, gender and basic infrastructure availability. Data were also collected on the primary and secondary occupation of the head of the households.
- Data required to calculate the farmer’s net revenue based on ongoing agriculture practices (crop and livestock). Data were collected on labour available to the household, type of crops grown including by growing season, prices as well as input costs including cost and quantity of fertilizer, irrigation, and machinery. Similar information was collected for livestock farmers.
- Global Positioning System (GPS) locations. Location is important when analysing climate impacts so information on the latitude and longitude of farms was collected.
- Information on extension services. Detailed information was provided by private extension groups, non-governmental organizations (NGOs), central government agencies, cooperatives and local government to be able to elicit potential policy tools available to support adaptation.
Climate Information and Early Warnings Africa
In Africa datasets on climate information and early warnings were gathered from 2000 household surveys. The data were collected between 2015 and 2016 by a national team. Datasets are currently being cleaned, and will be available from Burkina Faso, Liberia, São Tomé and Príncipe, Sierra Leone, Tanzania, Uganda and Zambia.
The questionnaire was divided into 4 main parts:
- Hazard identification by community and household. This section provided information on the different hazards prioritized by communities. This will feed into the EWS system to help target/provide information that will be useful for project delivery.
- Past experience on EWS, climate change, communications and responses. This section gathered data that that can be used to evaluate the current EWS system in the countries.
- Household information. This section provides detailed information on the kind of household and gender roles and basic infrastructure availability
- Information to estimate outcomes of interest – components of farmer (crop and livestock) and fishers revenue, cost and profit: depending on the kind of agent. This section provides data on labor available to the household, type of crops grown if a farmer, the growing season to differentiate different crops and value of EWS information, fertilizer use to estimate costs and inputs, irrigation use and cost, machinery, and similar information for livestock farmers.
- GPS locations for geo-spatial information and analysis. Spatial variation is a valuable instrument to help with identification of control and treated groups.
Request access to datasets and join the coalition