Addressing the Data Gap: The Importance of Measuring Poverty in the Caribbean

More frequent household data can also be used to improve our resilience to climate change and natural hazards, for instance, by combining household data with climate and hazard data for vulnerability assessments that can inform targeted policies.

In the context of higher debt levels, the absence of recent poverty data means poverty may be less of a policy priority, but when poverty policies are implemented without sound data and evidence, they are less likely to be successful, resulting in wasted resources. The Caribbean simply can’t afford to continue along this path. Caribbean people deserve better.

The Capacity Gap

Statistical capacity in the Caribbean is lower than in other world regions globally, as measured by the Statistical Performance Indicator. Many Caribbean countries struggle with weak statistical capacity and low data usage, which reinforce each other.

Limited capacity means that the quality of the data can be poor and outdated. In addition, countries sometimes opt not to disclose poverty data based on political sensitivities, which hampers policymaking to improve the lives of the most vulnerable.

What Can Be Done?

Some Caribbean countries have made efforts to address aspects of the data gap. For example, initiatives like the World Bank-funded OECS Data for Decision Making Project, the Caribbean Development Bank’s Enhanced Country Poverty Assessment Project or Statistics Canada’s Project for the Regional Advancement of Statistics in the Caribbean have been implemented with the support of development partners. However, if we are to end poverty by 2030, the following need to be considered:

1. Commit to regular and comprehensive data collection on poverty and key socio-economic indicators. This includes conducting household surveys, censuses, and surveys to gather information on income, living conditions, employment, education, and healthcare access. Governments must budget appropriately to conduct these surveys, and the development community can support these efforts by providing additional funding, capacity building and analytical support.

2. Invest in the capacity of national statistical offices and policy analysis units. This includes adequate staffing of statistical offices and providing training and resources to staff responsible for data collection, analysis, and reporting.

3. Promote data transparency and accessibility. This includes making key indicators of surveys and poverty estimates available online and through public events, strengthening the legal framework for microdata dissemination and investing in microdata repositories for safe storage and dissemination.

Conclusion

Poverty projections conducted for the Caribbean by the World Bank and, insights from phone and online surveys conducted during the pandemic suggest that the Caribbean may not be making material progress with poverty reduction.

Although poverty is expected to be on a declining path since its spike in 2020, in most countries it is believed to still be above pre-pandemic levels. There is much work to do to help the poor and vulnerable recover from the pandemic and ensure that there will be no long-term impacts on the welfare of future generations who suffered from severe disruptions in education and health services during the pandemic. It is now imperative that leaders, in collaboration with international organisations and civil society, seize this opportunity to collect and transform data into meaningful action, leaving no one behind.

At an individual level, we all need to advocate for governments to conduct and share assessments of poverty and the corresponding outcomes. By advocating for greater openness and transparency, we can contribute to the reduction of poverty and improve Caribbean lives and livelihoods.

Lilia Burunciuc is World Bank Director for Caribbean countries. She is responsible for maintaining the partnership with the countries to address their development challenges. Marla Dukharan is a respected Caribbean economist and advisor.