The World Bank

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The World Bank

Implementation of Chile Technology Adoption Survey

The TECHNOLOGY ADOPTION SURVEY aims to achieve the following objectives:
•    To generate a firm-level database on the extent of technology adoption in Chile.  
•    To collect data on absorptive capacity and key barriers of technology adoption in Chile. 
•    To collect data on the effect of technology adoption / automation on firms’ operation decisions, including the recruitment of skilled and unskilled labor. 
•    To inform policies for improving firm competitiveness, technology adoption and job creation in Chile. 

Craig Meisner


UDA Consulting has successfully completed a socio-economic survey of forest villagers in Turkey, providing the following services: Development of sampling methodology and survey design, development of survey forms, sample selection using GIS tools, Daily monitoring of survey and project activities by World Bank experts. is a web-based platform that enables computer-based data collection, data understanding, analysis and reporting, coordination and collaboration with project stakeholders.

World Bank Group - Task Team Leader

WB Farmer Survey in TURKEY

Turkey is the largest refugee-hosting country in the world, with 3.6 million Syrians living under temporary protection (SuTP). [1]   While refugees reside across the country, an estimated 75 percent currently dwell in just 10 provinces.


Turkish Cypriot Community’s Household Budget Survey

At an estimated US$ 3.7 billion in 2019, the size of the economy of the Turkish Cypriot community (TCc) is about 15 percent of the economy of the government-controlled areas of the Republic of Cyprus (RoC). Slightly over half of this difference is explained by differences in their respective populations (At about 372 thousand, the population of the TCc is about 42 percent of the RoC according to the latest estimates for 2018).

UDA Consulting's Project in Tunisia

Poverty, Forest Dependence and Land Degradation in Tunisia

The study aims to analyse the linkages between poverty, forest dependence and land degradation. The socioeconomic household survey will provide baseline and supplemental evidence to concurrent World Bank projects.

The objective of this study is:

  • to measure poverty robustly in areas of the project using SWIFT methodology;
  • to collect all determinants to later measure forest income with SWIFT methodology; and
  • to provide M&E tools to the ILM project team.


UDA Project in Angola, Luanda

Poverty Classification in the City of Luanda, Angola

UDA Consulting conducted a comprehensive household-level survey in the city of Luanda, which allowed for a more precise classification of households by poverty level. The poverty classifications will be used to calibrate and test an innovative approach to develop exceptionally granular poverty maps using high-resolution satellite imagery and machine-learning techniques. The poverty maps will allow Luanda’s water utility company to provide more effective water services through the better targeting of subsidies to the households that most require such assistance.


DRM Poverty Study in Dar El Salaam , Tanzania

The project is focused on assessing the relationship between poverty and disaster risk by collecting household information on exposure to flood risk combined with estimates of household expenditure. By using a city-wide representative sample of Dar es Salaam which is over-sampled in areas exposed to flood risk, this study will provide policy relevant information on the impact of floods on households and its relation to poverty on a city level. The study is a component of the Tanzanian Urban Resilience Program to inform investments and activities of the program.


Firm-level supply chain resilience - Tanzania

The objective of this assignment is to pilot a firm-level supply chain resilience survey in Tanzania to get a better understanding of the economic impact of transport infrastructure disruptions – primarily due to natural disasters. The data collected will directly inform the currently on-going Tanzania Transport Risk Analysis being undertaken by Oxford Analytics, funded by the Corridors for Growth Multi-donor Trust Fund, administered by the World Bank, with the support of UK Aid.