Global engagement

We partner with governments, UN agencies, donors and universities around the World, to co-develop solutions using spatial demographic research.
Click on the map to find out more about recent activities and use of WorldPop data.

WorldPop Worldwide

WorldPop produces open gridded multi-temporal age and sex-structured population datasets that are widely used by governments, international agencies, academics and commercial companies around the World. Our open data is adopted for a wide variety of uses including, estimates of populations exposed to natural disasters and conflicts, spatial epidemiological models, health information systems, global vaccination strategies, and health metric denominators.

WorldPop open data users

Afghanistan

In 2017, following a request from President Ghani, UNFPA, WorldPop and Flowminder presented to the government of Afghanistan potential approaches for providing more recent and reliable subnational population numbers, based on WorldPop’s previous work in Nigeria.

WorldPop researchers worked closely with the Afghan national statistical offices to integrate satellite-based mapping of all residential compounds in the country with other geospatial datasets and recent small area population enumeration in a spatial statistical modelling framework. New population estimates were produced at national, provincial, district, enumeration area and 100m grid cells for the country, with associated measures of uncertainty. Cross-validation showed strong predictive ability, particularly at district and provincial scales.

The results were presented to President Ghani, the government and a range of international agencies in Kabul, and the estimates have been adopted by all UN agencies in Afghanistan and are currently used in a range of applications, including polio elimination efforts.

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Benin

Benin’s National Institute of Statistics and Demography (INStaD) is adopting WorldPop’s preEA tool package to create automatic Enumeration Areas (EAs) for its first digital census.

EAs are typically areas that can be canvassed by a single data collector while undertaking a survey or census and mapping accurate EA parameters is vital to efficiently survey a country’s population. Existing EAs are often incomplete, outdated or missing and developing new boundaries can be labour and cost intensive. This is where WorldPop’s preEA tool is used to improve the accuracy and enable data collectors to work more efficiently in the field. In partnership with UNFPA, WorldPop’s Dr Sarchil Qader has been working closely with INStaD to test and develop the preEA tool package, including implementing field validation and running training.

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Brazil

WorldPop partnered with the Instituto Brasileiro de Geografia e Estatística (IBGE, the Brazilian Statistics Office) to run a workshop on geospatial population modelling methods in preparation for the country’s largest ever census. WorldPop Research Fellow Edith Darin led the workshop and co-development of methods adapted to the Brazilian census situation. These approaches have since been adopted by IBGE, and wider collaborations and implementation across the Latin America and Caribbean region have been supported by UNFPA and WorldPop through further training and workshops.
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Burkina Faso

Burkina Faso’s National Institute for Statistics and Demography (INSD) carried out its fifth population and housing census in late 2019, but security issues in the north and east of the country meant that some areas could not be fully enumerated.

As part of the GRID3 program, and in collaboration with UNFPA, WorldPop co-developed methods for predicting population numbers in areas where enumeration could not take place and producing gridded estimates for the full country.

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Cameroon

WorldPop is implementing multiple mapping and modelling projects with the government of Cameroon and UN agencies. These include the production of modelled population estimates from geolocated household survey sample listings and the semi-automated delineation of enumeration areas to support census planning. Moreover, administrative data sources and household surveys are being used to construct small area estimates of refugee populations and childhood vaccination coverage rates. The government is also interested in WorldPop’s automated methods for production of pre-census enumeration area (EA) boundaries, and the Institut National de la Statistique du Cameroun recently participated in a workshop to enable adoption of WorldPop’s Pre-EA tool.
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Chad

WorldPop are collaborating with the UNICEF West and Central Africa regional office to construct gridded age/sex-structured population and childhood vaccination coverage rate estimates for Chad. These will prepare and inform broader health interventions, including microplanning of immunization campaigns, optimization of vaccination sites’ location, efficiency of distribution, as well as coordination of immunization and birth registration services, policymaking, and calculation of key indicators.

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China

WorldPop partners with academic and disease control agencies in the use of geospatial data on population distributions, demographics and dynamics to understand disease spread and design mitigation approaches.

During the COVID-19 pandemic, WorldPop led some of the first modelling studies on the impacts of non-pharmaceutical interventions on the spread of the virus, integrating satellite, demographic and mobile phone data within novel epidemiological modelling frameworks.

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Colombia

For Colombia’s 2018 census, challenges were faced in conducting enumeration in remote regions where conflict was often occurring. WorldPop supported the National Administrative Department of Statistics of Colombia (DANE) in co-developing methods to estimate population numbers through the integration of satellite and other geospatial data with local community estimates. These approaches were used to impute population numbers for the census. Collaborations between DANE and WorldPop have since continued through exploration of population modelling methods with UNFPA, testing of semi-automated enumeration area delineation, and co-development of research proposals.
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Cote d’Ivoire

WorldPop are collaborating with the UNICEF West and Central Africa regional office to construct gridded age/sex-structured population and childhood vaccination coverage rate estimates for Cote d’Ivoire. These will prepare and inform broader health interventions, including microplanning of immunization campaigns, optimization of vaccination sites’ location, efficiency of distribution, as well as coordination of immunization and birth registration services, policymaking, and calculation of key indicators.

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Democratic Republic of the Congo

With no population and housing census since 1984, the Democratic Republic of the Congo has faced challenges in estimating health intervention needs and implementing their delivery.

Over the past few years WorldPop has led development of new high resolution population estimates through partnerships with organizations such as the Kinshasa School of Public Health, GRID3, UNFPA, Flowminder and GAVI. These have formed the demographic basis of vaccination delivery efforts and survey planning, among multiple other applications.

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Eswatini

Eswatini is aiming to eliminate local transmission of malaria within its borders but faces challenges due to importations of infections in returning travellers and visitors from neighbouring countries which spark local outbreaks. To understand these spatiotemporal patterns of travel and malaria importation WorldPop partnered with the Eswatini National Malaria Control Programme and the Clinton Health Access Initiative. We analysed and mapped data from the national malaria surveillance system which was used to guide strategies and decision making.

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Ethiopia

The Ethiopia Statistics Service (ESS) is interested in developing the skills of its staff in the production of small area modelled population estimates. In collaboration with UNFPA, WorldPop undertook training of ESS staff in December 2023 to begin to strengthen their capacity in spatial statistical population modelling methods.

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Ghana

As part of the Countdown to 2030 programme, WorldPop leads collaborations with the University of Ghana and Ghana Health Service. A particular focus is to generate evidence and strengthen capacity to measure progress and performance of reproductive, maternal, newborn, child and adolescent health and nutrition (RMNCAH+N) programs. A component of this involved geospatial and geostatistical analyses of health information system data, building on work by WorldPop researcher, Dr Winfred Dotse-Gborgbortsi. Here, health management information system data have been used to understand the influence of distance and quality on utilisation of birthing services at health facilities, and also the impact of urban slum residence on key maternal, neonatal and child health service indicators.
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Guinea

The Republic of Guinea’s National Institute of Statistics (INS) are keen to adopt new geospatial technologies in their workflow to assure they benefit from modern census techniques. Creating and updating digitized census Enumeration Areas (EAs) and a national sampling frame is a challenging yet essential step in preparing for a national census. The process of creating census EAs is even more complicated in sparse data settings. This is particularly the case in rural areas where partial data is available and limited ground natural and man-made features can be seen on high-resolution satellite imagery. WorldPop have been working with INS to run workshops to build the skills necessary to input datasets for the group’s preEA tool package and create automatic Enumeration Areas (EAs) for environments with inadequate data. The package offers different geospatial tools that can assist in implementing census cartography and achieving modern census.
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Haiti

Haiti has been unable to conduct a national population and housing census since 2003, with substantial demographic shifts taking place in the intervening period. A need for recent small area population data has prompted efforts to construct modelled population estimates using Bayesian geostatistical models, together with high resolution satellite imagery. Following co-development of population models in Colombia and Brazil with UNFPA and the respective country NSOs, WorldPop partnered with experts from the Latin America and Caribbean region to provide modelling guidance, training and support to the Haiti NSO in constructing new small area population estimates.
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India

Large area averages can mask subnational heterogeneities in health and development indicators. This can lead to inequities in resource allocation, a misleading picture of progress towards development goals, and vulnerable populations left behind.

In partnership with the Children’s Investment Fund Foundation (CIFF), WorldPop is utilising Bayesian geostatistical methods with household survey data and geospatial covariates to construct small area estimates of a wide range of health and development indicators, as well as quantifying their changes over time. Interactive web portals then enable visualization and interrogation of the data. The first of these web atlases has been built for India, in partnership with CIFF, and further country portals are under construction.

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Iraq

Ensuring food security and shaping policy intervention require accurate and timely mapping and monitoring of agricultural dynamics and production. Many low- and middle-income countries do not have sufficient information on agricultural outputs to inform policy decisions and enable field monitoring – especially at the level of individual farms.

Working with the University of Sulaimani and the Iraqi Kurdistan Regional Ministry of Agriculture and Water Resource, WorldPop researcher Dr Sarchil Qader is leading work to explore the use of remote sensing data and advanced statistical modelling to estimate crop yield in Iraq. The project evaluated the potential of Sentinel-2 satellite derived measures of greenness and productivity to model and predict crop yield in smallholder arid and semi-arid farming systems, using Iraq as a case study.

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Kenya

As part of the GRID3 program, WorldPop collaborated with the Kenya National Bureau of Statistics to construct a gridded version of its 2019 census. These estimates were broken down by sex and age classes and made openly available through WorldPop’s Open Population Repository.

The Kenyan Ministry of Health also used WorldPop’s population estimates to estimate several types of vaccination coverage, such as the count of children who have not received any doses of vaccines (referred to as zero-dose children) and determining the coverage rates for Diphtheria Tetanus Pertussis Vaccine (DPT) DPT1, DPT3, polio vaccines, as well as Human Papillomavirus (HPV) doses or antigens.

The Kenyan Ministry of Health also used these datasets in its recent application submitted to Gavi, The Vaccine Alliance to receive funding for immunization-related activities. Moreover, the WHO and the Clinton Health Access Initiative (CHAI) collaborated with government agencies to leverage WorldPop’s population estimates to plan, distribute, and monitor vaccines, specifically for polio vaccination campaigns.

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Mali

Conducting a national population and housing census requires as comprehensive, recent and reliable data on population distributions as possible to support planning for implementation. The government of Mali were able to complete their pre-census cartography for most of the country, but certain areas were deemed inaccessible, leaving incomplete data for census planning.

WorldPop partnered with the National Statistical Office of Mali (INSTAT) and UNFPA as part of the GRID3 program. The population counts collected as part of the incomplete census cartography phase were used to develop, train and test a Bayesian statistical model to construct small area population estimates for the inaccessible areas. This provided a complete set of population estimates that could then be used by INSTAT as the basis for implementing their national census in 2022.

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Mozambique

WorldPop has worked with the national statistical office of Mozambique (INE) for many years to co-develop population maps and models, and to undertake validation, distribution and analyses of these.

As part of GRID3, and funded by UNICEF, WorldPop recently partnered with INE to work on the top-down disaggregation modelling of 2017 census data and official projections to 100x100m grid square estimates, broken down by sex and age classes. To examine the accuracy of these small area estimates, WorldPop researchers worked with INE to implement field tests. The INE team were satisfied with the accuracy of the mapping and the gridded outputs were openly released.

WorldPop is also now working with UNFPA and INE on methods for the production of district level population projections that aim to account for migration and displacement patterns since the last census.

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Myanmar

WorldPop collaborated with the Myanmar Information Management Unit (MIMU) of the United Nations to produce 100x100m gridded estimates of population counts, broken down by age and sex, from areal unit-based census and projection data. These were published by MIMU and have been used for a wide range of applications in the country.

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Namibia

Namibia has made great progress in the fight against malaria. For complete elimination, however, health officials need better data on how infected people move between communities to understand transmission dynamics.

In collaboration with the National Vector Borne Disease Control Program, the Clinton Health Access Initiative (CHAI) and Mobile Telecommunications Limited (MTC), WorldPop is helping achieve this through a combination of malaria case data, satellite imagery and anonymised mobile phone records.

Satellite imagery is used to map the environmental conditions in which malaria parasites and mosquitos are abundant, and cell phone records are used to anonymously track population movements. Together, the two types of data allow detailed mapping of malaria transmission in Namibia and allow interventions like indoor spraying with insecticide to be targeted optimally to disrupt the malaria transmission cycle.

In 2013, Namibia’s Ministry of Health, supported by the Global Fund and CHAI, used the mobility and malaria risk maps to target bed net distribution and indoor insecticide spraying to key areas. Instead of the daunting challenge of immediately covering 1.2 million people (the previous estimate of the population at highest risk of malaria) the National Vector Borne Disease Control Program used its limited resources to first reach the 80,000 people most important to the malaria transmission cycle.

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Nepal

For many years Nepal has been one of the highest-risk countries in terms of the potential for a devastating earthquake. On 25th April 2015, a major quake struck, centred on Gorkha district and it was immediately apparent that there were mass movements of the population.

Following the initial earthquake, WorldPop rapidly produced updated population density maps with a spatial resolution of 100mx100m, including gender and age distributions for Nepal. These data were used by UN OCHA and other key relief agencies in estimations of the number of people affected. WorldPop then collaborated with Flowminder to use these population data in combination with the Ncell anonymised data from 12 million mobile phones in Nepal, to quantify the impact of the earthquake on population movements.

The team successfully released the first comprehensive analyses of population displacement less than two weeks after the earthquake. These results were released as a report to the United Nations and a range of relief agencies.

After adjusting for normal population movement patterns, which would have occurred in the absence of the earthquake, the analysis showed that an estimated additional 500,000 people had left Kathmandu two weeks after the earthquake.

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Niger

As part of the GRID3 program, WorldPop collaborated with the Institut National de la Statistique du Niger (INS) and UNFPA to construct 2021 gridded population estimates for the country. These were based on projected 2021 population totals by commune produced by INS and derived from the 2012 Population and Housing Census.

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Nigeria

WorldPop undertakes a wide range of projects in Nigeria involving multiple partnerships with government agencies, Nigerian Universities and international bodies.

The most active recent collaborations involve population mapping and estimation for census planning and health intervention delivery, and the modelling and analysis of childhood vaccination rates at small area scales. In each case, local ownership, co-development and capacity strengthening are core elements.

Starting in 2015, WorldPop partnered with the Bill and Melinda Gates Foundation and Oak Ridge National Laboratories to support polio elimination efforts in Nigeria through the development of census-independent population mapping methods in the north of the country. This work, and similar modelling work in Afghanistan led to the establishment of the GRID3 program, which strengthened collaborations with the Nigerian government around core geospatial data layer production.

In collaboration with the National Population Commission and National Bureau of Statistics, WorldPop led construction of gridded population estimates for the entire country. These have since been used by a variety of organizations and government bodies in Nigeria as the basis for vaccination microplanning, census preparation and as a survey sample frame.

WorldPop also partners with organizations such as the National Primary Healthcare Development Agency (NPHCDA), National Bureau of Statistics, and Centers for Disease Control on method development and the production of small area estimates of vaccination coverage. These involve the construction of Bayesian geostatistical models using geolocated household surveys and satellite-derived geospatial covariate datasets to make predictions of coverage at 1x1km scales, with associated measures of uncertainty. The methods and outputs have been used by NPHCDA to guide and prioritise areas for vaccination campaigns.

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Panama

Many countries in the Latin America and Caribbean region have recently conducted censuses and are in the process of compiling and analysing results. Within censuses, challenges can often arise around omission of certain populations, geographical access, distribution of small area results and updating sample frames.

WorldPop in collaboration with the Regional Office for Latin America and the Caribbean (LAC) and the Panama Country Office of the United Nations Population Fund (UNFPA), and the National Institute of Statistics and Census (INEC) in Panama held a five-day workshop in Panama City on modelled population estimates to address such challenges. The workshop aimed to strengthen the capacity of National Statistical Offices (NSOs) in Latin America and the Caribbean in exploring and applying various population modelling techniques and tools (e.g. the preEA package) developed by WorldPop in areas such as population estimation, determining census omission, filling census gaps and designing customised national sampling frames to serve census and various socio-economic surveys.

Panama is planning to conduct various socioeconomic surveys, but an outdated sample frame can lead to biased survey results and statistical invisibility. Following the multi-country workshop, WorldPop led two days of training and discussions to strengthen the capacity within the National Institute of Statistics and Census (INEC) in Panama to explore new geospatial techniques to update and customise national sampling frames to ensure accurate representation of diverse populations.

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Papua New Guinea

With the planned 2021 national population and housing census disrupted by the Covid-19 pandemic, the national statistics office was interested in constructing interim population estimates, which could also support planning processes for the delayed census.

WorldPop partnered with UNFPA, the Papua New Guinea statistics office (PNGStats) and Planet to design novel Bayesian statistical modelling methods built using recent geolocated health intervention survey and census listing data. The modelling approach accounted for residential structures under tree canopies that were not visible from satellites to predict age and sex-structured population estimates at small area unit scales with confidence intervals. These have been published by PNGStats, used as part of country planning and are guiding preparations for the next census.

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Senegal

As part of the GRID3 program, WorldPop collaborated with the National Agency for Statistics and Demography (ANSD) of Senegal and UNFPA to construct 2020 gridded population estimates for the country. These were based on projected population totals by commune produced by ANSD and derived from the 2013 Population and Housing Census.

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Sierra Leone

As part of the GRID3 program, WorldPop collaborated Statistics Sierra Leone to construct 100x100m gridded population estimates from the 2015 census for the country. In 2021, the government’s Free Quality School Education initiative increased school enrolment by 800,000. However, increased enrolment had been straining the country’s school system, affecting the availability of and access to educational resources. MBSSE officials saw the creation of a school infrastructure development plan, informed by detailed school coverage analyses, as a necessary step towards achieving the guiding principles underpinning the initiative.

To inform the new policy, the GRID3 Sierra Leone team conducted a school coverage assessment with the gridded population estimates, disaggregated by age using factors such as ownership (private vs. public schools), quality, and the geographic location of the school (urban vs. rural). They also provided suggestions for new classroom locations using a site optimisation tool. These analyses paved the way for MBSSE to create objectives around educational planning.

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Somalia

There has been only one credible census in Somalia back in 1975. Since then, civil war, ongoing conflicts, and severe droughts have not only altered population figures but have also made it challenging to conduct another census. This has led to a lack of population data to guide resource allocation, and challenges to designing and conducting household surveys without an adequate and recent sample frame.

WorldPop partnered with the World Bank to develop semi-automated geospatial methods for constructing pre-census enumeration areas using satellite and other geospatial data. These formed the basis of a new sample frame that has been used for designing and conducting household surveys.

WorldPop is now collaborating with the Somalia National Bureau of Statistics, UNFPA, the Bill and Melinda Gates Foundation and the WHO GIS Centre to undertake updated mapping of pre-census enumeration areas in support of planning for a new census in Somalia.

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South Africa

As part of WorldPop’s global population mapping efforts, annual age and sex-structured 100m resolution population estimates for the 2000-2023 period have been produced, using national census data as a basis, and these have seen wide usage by international and national organizations.

In the diamond mining region of South Africa, WorldPop’s population modelling provided the World Bank with new insights to the ghost towns in the northern region. Additionally, CHAI used WorldPop’s population estimates to analyse how malaria impacts people across S.Africa and surrounding countries. The analysis was made possible because WorldPop provided cross-border population estimates for epidemiological analyses.

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South Sudan

South Sudan’s last census was conducted in 2008, prior to its independence from the Sudan in 2011. Based on these population counts, South Sudan’s National Bureau of Statistics (2015) produces subnational population projections using fertility and mortality rates. However, the population projections do not account for population movement due to the lack of validated migration data.

Through integrating IOM displacement tracking matrix (DTM) data on internally displaced populations, and UNHCR data on refugee numbers and locations, WorldPop was able to produce updated projections and small area estimates that accounted for migration patterns. These were used by multiple UN agencies, including IOM and UNICEF as an updated sample frame.

Following this work, WorldPop partnered with UNFPA and the South Sudan government as part of the GRID3 program to implement a population estimation survey and obtain new sample population enumeration data across the country. These were used as the basis for building a bottom-up population model to produce new small area population estimates. These numbers were endorsed by the Government and South Sudan National Bureau of Statistics in November 2020, and published by UN-OCHA.

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Sudan

Sudan has suffered a series of crises and conflicts since its last population and housing census in 2008. This has left a lack of recent small area population data to guide humanitarian response efforts.

In 2022, with the advent of new conflicts and resulting population displacement, WorldPop undertook machine learning-based disaggregation of new UNFPA COD-PS estimates using a library of high resolution geospatial datasets to construct 100m resolution gridded age/sex-structured estimates. These were made openly available through UN OCHA’s HDx platform. The datasets were utilised by a range of agencies to inform humanitarian response.

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Tanzania

In partnership with the Tanzania DataLab (dLab), WorldPop undertook analyses of geolocated household survey data to understand factors associated with school attendance in the country. This included geospatial and demographic analyses to explore the drivers and correlates of secondary school attendance rates, showing that the age of household head, educational attainments of either of the head of the household or parent, and child characteristics such as gender, were important predictors of secondary school attendance. Moreover, being in a richer household and with fewer siblings of lower age (under the age of 5) were associated with increased odds of attendance.

Analyses were then undertaken to estimate physical accessibility and secondary school non-attendance amongst adolescents and school-age youths. Community cluster survey data were triangulated with the spatial location of secondary schools, non-proprietary geospatial data and fine-scale population maps to estimate accessibility to all levels of secondary school education and the number of out-of-school. School attendance rates were derived from nationally representative household survey data, and a Bayesian model-based geostatistical framework was used to estimate school attendance at high spatial resolution.

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Thailand

The Thai National Statistics Office (TNSO) is keen to build the skills of its staff in GIS and spatial statistical modelling to support and strengthen their demographic data and data collection processes. WorldPop and UNFPA partnered to run a series of in-person and virtual collaborative workshops to strengthen capacity in spatial analysis, Bayesian geostatistical modelling and to co-develop solutions to support census processes in Thailand.

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Togo

Creating and updating digitized census Enumeration Areas (EAs) and a national sampling frame is a challenging yet essential step in preparation for a national census. WorldPop collaborated with UNFPA to run online training for the Togo national statistics office to introduce and build the skills necessary to input datasets for the group’s preEA tool package and create automatic EAs for environments with inadequate data. The package offers different geospatial tools that can assist in implementing census cartography and achieving modern census.

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Türkiye

When a major earthquake struck southern Turkiye in 2021, limited recent small area population data were available to assess numbers of people affected and guide response efforts. WorldPop undertook rapid machine learning-based disaggregation of UNFPA common operational datasets on population statistics to construct 100m resolution gridded age/sex structured estimates and make them openly available through UN OCHA’s HDx platform. The datasets were used by a range of agencies to inform humanitarian response.

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Uganda

As part of a project with UNICEF and GRID3, WorldPop collaborated with Uganda Bureau of Statistics (UBOS) to construct 2022 gridded population estimates for the country. These were based on projected population totals produced by UBOS and derived from the 2014 Population and Housing Census.

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Ukraine

Ukraine has been unable to conduct a national population and housing census since 2001, resulting in a lack of recent and granular population data to guide resource allocation and planning.

When the Russian invasion commenced in 2022, WorldPop worked with UNFPA and the German Space Agency (DLR) to produce new gridded estimates through undertaking population projections based on administrative sources, and then machine learning-based disaggregation using a library of satellite based datasets to construct age and sex structured 100m gridded estimates. These formed the basis of initial aid and response planning by organizations such as UN OCHA.

WorldPop then collaborated with the Leverhulme Centre for Demographic Science to utilise social media data to dynamically update demographic estimates as mass population movements occurred.

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United Kingdom

During the Covid-19 pandemic, WorldPop partnered with the Meta data for good team to provide a variety of spatiotemporal analyses of Facebook user data for the UK. This included responding to requests from the UK Office for National Statistics, Cabinet Office and DEFRA, and for population mobility analyses to inform Covid response strategies. Moreover, WorldPop supported and collaborated with academics across the World to provide rapid and granular insights on travel patterns within and from/to the UK.

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Yemen

Yemen has suffered multiple conflicts and humanitarian crises over recent decades, disrupting healthcare and infrastructure. Moreover, recent small area population estimates to guide resource allocation are lacking. WorldPop partnered with the World Bank, World Health Organization and UNICEF to construct high resolution age and sex-structured recent population estimates. These were then overlaid with geospatial data on health facilities to estimate changes in access to care.

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Zambia

As part of the GRID3 program, WorldPop and the Government of Zambia produced gridded population estimates, led by the Zambia Statistics Agency (ZamStats) to support the country’s humanitarian and development planning and operations across the country. WorldPop also partnered with the government and GRID3 to use geospatial data to improve COVID-19 vaccination planning. To increase vaccine uptake, the Expanded Programme on Immunisation (EPI) within Zambia’s Ministry of Health is focussed on conducting more targeted vaccination campaigns. EPI is developing microplans aimed at improving vaccine allocation planning and tracking vaccinations in all districts. The maps feature GRID3 data on population, settlements, and health facilities and are integrated into the microplanning process alongside templates based on the WHO’s Reach Every District/Reach Every Child strategy. Standard operating procedures which describe how to use GRID3 maps for future COVID-19 vaccination microplans were also developed in collaboration with the Zambian government.

WorldPop have continued to collaborate with ZamStats, the Ministry of Local Government, Ministry of Health and the University of Zambia on training focussed on using data to reach vulnerable populations when planning health interventions. Training has showcased how population data products have been utilised by different ministries and stakeholders, and identified further opportunities for collaboration and data use.

Ongoing collaborations are supporting Zamstats with analysis and mapping of the recent population and housing census.

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About Us

The WorldPop research programme, based in the School of Geography and Environmental Sciences at the University of Southampton, is a multi-sectoral team of researchers, technicians and project specialists that produces data on population distributions and characteristics at high spatial resolution.

Initiated in October 2013 to combine The AfriPop Project, AsiaPop and AmeriPop projects, we have a diverse portfolio of projects, including large multi-million-pound collaborative projects with partner organisations, commercial data providers and international development organisations.

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