18 Nov

GIS Day 2015

I love maps! They are a great way to understand and visualize data, especially when you are looking to understand how place might influence certain health behaviors or outcomes. Luckily, I spend my days here at The DHS Program preparing data for maps, making maps, talking about maps, teaching others to make maps, and thinking of new ways to share maps with the whole world.  The good news is that you don’t have to be a Geographic Information System (GIS) professional to appreciate or even make your own maps using DHS data.

gis day 1

STATcompiler is a great tool that can allow you to visualize DHS data in many ways including via maps. These maps can be seen both at the national and sub-national level, and allow for various customizations including colors and number of categories.

gis day 3The Spatial Data Repository (SDR) is also a tool that can be used by non-GIS professionals to view maps and DHS geographic information. The boundaries page allows anyone to visualize the change in sub-national borders between various surveys. This can be very useful for analysts, survey planners, and individuals interested in sub-national trends over time.

For a full view, please visit spatialdata.dhsprogram.com/SAR12 

The gallery page has maps that have been created by The DHS Program and others using DHS data. Maps located in the gallery are tagged in different ways so that you can find the topic or countries you are most interested in. These maps are created for specific reports, presentations, or other activities. Recently, we created a series of interactive maps as an online supplement to the Spatial Analysis Report 12 Report. These maps allow viewers to explore the report data more in depth and click on a country region to see more information for the indicator selected.

You too can participate in the online map gallery: create an original map using at least some DHS Program data (either downloaded from the SDR or data created using other resources), and submit the map to spatialdata@dhsprogram.com. Static maps (JPG, PDF, etc.) or interactive web maps/apps are welcome. We will review your map and if appropriate for inclusion on SDR, we will contact you to get your permission to upload it to the site.

Stay tuned in early 2016 for our SDR Gallery Map Contest, where your winning submission to the gallery can even earn you a prize! Any other time of year, your submission will still get your name and map visible to a whole world of viewers (prize enough for some!).

Happy GIS Day 2015! Now go make a map or go look at some maps!

04 Nov

Capacity Strengthening at Makerere University

Undergraduate students attentively listen to the presentation on The DHS Program.

By Betty Kwagala

Makerere University is one of the oldest Universities in Africa. Over the past 4 years, four teams of DHS Fellows (12 Fellows in all) have been selected from Makerere. Fellows have been drawn from School of Statistics and Planning, College of Business and Management Sciences and School of Public Health, College of Health Sciences. The two schools are closely related and work together in various ways including training, supervision of students’ research and faculty research in public health, population and reproductive health. DHS data are vital in several graduate and postgraduate courses taught in these two schools and a considerable number of faculty members also engage in research involving further DHS data analyses. The two schools had a second team of DHS Fellows this year.

I am among the faculty members at the School of Statistics and Planning of Makerere University that use DHS datasets for research. I had previously analysed DHS data but wanted to learn more about DHS data and be better equipped to use it in teaching and mentoring students. Therefore together with other two colleagues Ms. Olivia Nankinga and Dr. Cyprian Misinde in the Department of Population Studies, we applied for and were selected to participate in the 2015 DHS Fellows program.  During the program, I learned a lot ranging from sampling procedures, understanding complex indicators in DHS reports to correct analysis of DHS data.  My practical knowledge of Stata improved significantly.  I was impressed by the high quality of facilitation. Approaches used were adult sensitive, providing optimum opportunity for learning.  I appreciated the approach of learning by doing and emphasis on teamwork. The facilitators were highly knowledgeable, professional, yet empathetic and patient with the participants. The south-south co-facilitation of the workshop was excellent. Resources provided as part of the program are very useful.

Cyprian Misinde facilitating an undergraduate training session

Cyprian Misinde facilitating an undergraduate training session.

One of the objectives of the DHS Fellows Program is to increase the capacity to use DHS data in Fellows’ home universities through capacity-building activities implemented by the Fellows.  At the School of Statistics and Planning, few members of the School research teams were knowledgeable about proper analysis of DHS data or the rationale for the recommended procedures for analysis. Consequently, many staff members could not guide students appropriately. DHS data are often used inappropriately by staff and students.  To fill these gaps, working together with Ms. Nankinga and Dr. Misinde we implemented several activities that were designed to improve the capacity to use DHS data in the School.

For example, we held a training workshop titled “Appropriate use of DHS/AIS data for graduate and undergraduate students in the School of statistics and Planning 2014-2015 academic year” on 21st to 22nd August for graduate students at the School of Statistics and Planning. All masters programs were represented namely Masters in Statistics, Quantitative Economics, Population and Reproductive Health and Demography. The students are in the process of developing proposals for their master’s dissertations.  On average, thirty seven students attended the training each day.

Betty Kwagala facilitating a session.

Betty Kwagala facilitating a session.

To address the data need among undergraduates, we also conducted a half-day training that involved 44 third year students of pursuing a Bachelor of Science degree in Population Studies. They are expected to conduct research and write a dissertation as a partial fulfillment of the program requirements in the final year. Students were inquisitive and remained attentive throughout the sessions.

In addition, as part of our supervisory role, we are ensuring that students register to use the datasets, and that their proposals/dissertations take into account important elements of DHS data analysis (82 students have been trained and 20 supervised). We have integrated DHS content in our research methods courses. Two of the Fellows in the second team, Dr. Simon Kasasa and Ms. Allen Kabagenyi, conducted the first orientation session for Biostatistics students last month at the School of Public Health, in conjunction with Prof.  Nazarius Mbona Tumwesigye and Prof. Robert Wamala.

Some of the key opportunities for the department and the school include keen interest and strong teamwork among faculty and the fact that the faculty and students were already using the datasets. Our research team has prepared an additional manuscript based on the UDHS (under review). We hope to collaborate more on DHS based research at school and university levels and possibly with our fellow alumni regionally.  The enthusiasm and interest of the students and their associations in proper analysis of DHS data is an important opportunity.  The training process has however been challenged by strikes of staff and students at the university and limited access to computers on the part of students.

Personally, I learned beyond my expectations and had a lot of fun as well. I highly recommend the Fellows program particularly for population, health and development researchers and lecturers for the benefit of our students, clients and careers.

2016 DHS Fellows Banner

We are currently accepting applications for the 2016 DHS Fellows Program, which are due December 1st, 2015. Please refer to our announcement for more information. We look forward to receiving your applications!

Betty KwagalaBetty Kwagala is a Senior Lecturer at Makerere University School of Statistics and Planning, Department of Population Studies. Prior to lecturing, she was a research fellow at Makerere Institute of Social Research. She now combines lecturing and research using mixed methods. She extensively uses DHS reports as reference materials for demographic and health statistics and a guide to designing survey questionnaires and DHS datasets for research. Her publications are mainly focused on gender relations, reproductive health, and health in general. Publications based on DHS data address gender based violence, contraception, and sexually transmitted infections. She was a 2015 DHS fellow.

28 Oct

Spotlight on Implementing Agencies: Cambodia

Names: Phan Chinda, They Kheam, and Chhay Satia of the National Institute of Statistics/Ministry of Planning; Sok Kosal, Loun Mondol, and Lam Phirun of the Directorate General for Health/Ministry of Health; and Sarah Balian of The DHS Program

Country of origin: Cambodia

When not working, favorite place to visit:

Lom Phirun: Washington, DC.

What has been the nicest surprise visiting The DHS Program HQ?

Chhay Satia: It’s a nice place with friendly people.

What do you miss most about home when you are here?

Loun Mondol: Food and family.

2014 Cambodia DHSWhat is your favorite DHS final report cover?
All: 2014 Cambodia DHS with Angkor Wat Temple.

Favorite DHS chapter or indicator, and why?
Sok Kosal: Domestic violence, because it’s a new chapter for Cambodia and it specifies the different experiences of violence.

Lam Phirun: Maternal and child mortality, fertility rate, need for family planning, maternal health, and child health because all topics are related to my work/program.

What population or health issue are you most passionate about? Why?

Sok Kosal: Child health is an important issue because it alerts us to take attention on child immunizations and illnesses.

Chhay Satia: I believe domestic violence is an important issue for Cambodian culture as it’s not right to treat women badly.

They Kheam: Abortion at home, because this could be caused by a mother or woman’s health problems.

Phan Chinda: Child mortality is a key topic because it is very important for Cambodia’s strategy and policy.

Loun Mondol: Maternal mortality as well as nutritional status for women and children are important indicators because maternal and child health is still a priority issue in my country.

How do you hope the DHS data from your country will be used?

Sok Kosal: Cambodia DHS data should be used for program management and policy formation,  especially monitoring and evaluation of Cambodia’s 2015 Millennium Development Goals.

What have you learned from the DHS experience?

Loun Mondol: How to search for information and data on the DHS website, tools, maps, and the user forum.

21 Oct

Three Perspectives on the DHS Fellows Program from 2015 Fellows


2015 DHS Fellows

2015 DHS Fellows and DHS staff

The DHS Fellows Program brings participants together to strengthen their individual analytical skills and to sustainably increase their university’s capacity for using DHS data. As this year’s Fellows Program drew to a close we asked three Fellows, Allen Kabagenyi (Makerere University), Simona Joseph Simona (University of Zambia), and Clara Ladi Ejembi (Ahmadu Bello University), to reflect on their experience with the Fellows Program and with our data.

Overall Fellows Program and workshops

Simona: The 2015 DHS fellowship brought together five wonderful three-member teams from Nigeria, Tanzania, Uganda and Zambia. I was a member of a team of participants from the Department of Social Development Studies at the University of Zambia.

Allen: Participants came from diverse backgrounds including: social sciences, medicine, statistics, demography and epidemiology.

Clara: The fellowship program comprised of two workshops and activities we undertook in-country in our institutions. Over the course of the two workshops, facilitated by two very amiable DHS staff and co-facilitated by three previous DHS Fellows, we were given hands-on training on the use of the DHS data in our research work.

Allen: During the first workshop in Kampala, Uganda, we were introduced to the capacity building program, DHS questionnaires, sampling and weighting, online tools, data structure and files among others. Furthermore, we learnt about The DHS Program, what they do, the coverage, target population and mandate.

A subsequent workshop was held in Zambia, where participants learnt about estimation of maternal, infant and child mortality using DHS data and Service Provision Assessment (SPA) tools. During the trainings, we were accorded a chance to present our projects and developed publishable DHS working papers with support from the DHS technical team.

Our achievements

Clara: We sent an abstract which was accepted for presentation at the forthcoming International Conference on Family Planning in Indonesia. We also secured approval for presentation of our research work at the forthcoming national conference of the Association of Public Health Physicians of Nigeria.

Allen: Results from our DHS-research fellowship will be presented in the forthcoming International Conference on Family Planning in Indonesia. It is an honor to have an oral presentation to stakeholders and professionals in the field of reproductive health. Our manuscript is ready for journal submission we are looking forward to having it published.

Simona: We are in the process of editing our paper for the targeted peer reviewed journal. We are also exploring a few other topics and collaborations with a view of preparing more papers and publications based on the DHS dataset.

Capacity strengthening at our university

Allen: Given the number of DHS fellows at Makerere University, plans are underway at the School of Statistics to have DHS data utilization integrated in teaching and research. At the department, there are on-going research projects based on DHS data from colleagues with some manuscripts submitted for review and publication. Masters students at the School of Public Health – Makerere University were excited and showed interest in future use.

Clara: At Ahmadu Bello University, we have been able to sensitize the university management and the university faculty on use of DHS data for teaching and research; and also on the fellowship program so that hopefully, more teams will apply from our institution this year. We have started the process of integrating DHS into our lectures in demography and statistics in the department.

Simona: I am happy to see that our participation in the DHS fellowship is already beginning to impact positively on our colleagues and students in our department through the capacity building plans we have started implementing. It is gratifying to see the level of enthusiasm among colleagues and students regarding the potential of the DHS data. I am positive that going forward, the DHS data will be integrated in our teaching and research activities and eventually yield many more publications.

Benefits of the Fellows Program

Simona: It was fulfilling to see the development of our paper as the Zambian team. The process of preparing it under the guidance of facilitators from The DHS Program and the co-facilitators was rigorous and yet empowering. We have acquired skills that will obviously be invaluable in our careers beyond the DHS fellowship.

Allen: The benefits of the program are countless from learning about The DHS Program, to acquiring skills in data analysis, appreciating the use of DHS data, networking and sharing information. Discussing country specific problems increased our understanding about other countries in the region.

Final words

Allen: It’s no doubt that I would recommend other people to participate in this fellowship as it is one of the best capacity building programs for teaching staff in strengthening their analytical and data utilization skills.

Simona: Personally, the DHS fellowship has been nothing short of inspirational and I am sure that the DHS data will form an integral part of my scholarship henceforth. I would urge eligible scholars in the coming years to grab the opportunity provided by the DHS fellowship.

Clara: Thank you very much DHS, for the opportunity to participate in one of the most enriching training programs I have undertaken in a long time.

We applaud all the 2015 DHS Fellows for their hard work and achievements! Be sure to read their papers, the final products from the 2015 DHS Fellows Program:


2016 DHS Fellows Banner

We are currently accepting applications for the 2016 DHS Fellows Program, which are due December 1st, 2015. Please refer to our announcement for more information. We look forward to receiving your applications!

Allen KabagenyiAllen Kabagenyi is a THRiVE PhD fellow from Makerere University, School of Statistics and Planning in Collaboration with University of Cambridge-UK. Her PhD research seeks to understand the explanations for the persistent high fertility rates in Uganda and low use of contraception. She lectures in Department of Population studies, School of Statistics and Planning.

Simona Joseph SimonaSimona Joseph Simona is a lecturer at the University of Zambia in the School of Humanities and Social Sciences. He was appointed lecturer after completing his master of research (M.Res) degree in sociology and research methods from the University of Glasgow in 2013. His areas of interest are mainly in sociology of health and illness, gender based violence and social science research methods.

Clara Ladi EjembiDr. Clara Ladi Ejembi is a Fellow of the Medical College of Public Health, and works as a Consultant Community Physician with the Ahmadu Bello University Teaching Hospital. Her areas of research and activism interests include reproductive health, maternal and child health, primary health care and HIV/AIDS and she has published in these areas.

08 Oct

Social Good Summit 2015: Celebrating the New Sustainable Development Goals

It’s that time of year again! The end of September marked the UN General Assembly and the Social Good Summit, the latter of which we attended this year (read about our trip last year). We were witness to a remarkable group of speakers, including UN Secretary-General’s Special Advisor Amina J. Mohammed, Executive Director of UNFPA Babatunde Osotimehin, and former U.S. Secretary of State Madeleine Albright – just to name a few.

The Social Good Summit

Twesigye Kaguri (Nyaka AIDS Orphans Project), Waislitz Award Winner

We listened to compelling (and at times, heart-wrenching) stories about children, women and girls, and refugees, and heard appeals for gender equality, greater efforts for climate control, and improved funding for and access to education. We were also shown numerous examples of how technology has the potential to aid all of the above. This year’s summit was especially important and relevant to The DHS Program because of the recent adoption of the Sustainable Development Goals (SDGs) during the UN Sustainable Development Summit 2015.

The SDGs replace the Millennium Development Goals (MDGs), which guided poverty reduction, health, education, and equality initiatives from 2000 through 2015. The SDGs that follow aim not only to continue efforts, but to broaden them. Where there were 8 MDGs, there are 17 SDGs with 169 targets. The SDGs are “action oriented,” “universally applicable,” and “take into account different national realities, capacities, and levels of development,” building on the MDGs before them.

Social Good Summit

@DHSprogram (that’s us!) live-tweeting at the Social Good Summit.

The DHS Program supported the measurement of the MDGs initiatives, and our data currently include indicators that will contribute to the monitoring of several SDG goals:

  • Zero Hunger: End hunger, achieve food security and improved nutrition and promote sustainable agriculture.
  • Good Health and Well-being: Ensure healthy lives and promote well-being for all at all ages.
  • Quality Education: Ensure inclusive and equitable quality education and promote lifelong learning opportunities for all.
  • Gender Equality: Achieve gender equality and empower all women and girls.
    • DHS data look at many women’s status indicators, including female genital cutting, domestic violence, child marriage, and access to education and other resources.
  • Clean Water and Sanitation: Ensure availability and sustainable management of water and sanitation for all.
    • DHS surveys include data on household drinking water and sanitation facilities.

Throughout the summit, many speakers emphasized data’s key role in monitoring the SDGs and impact on social good:

“Data is at the heart of the SDG agenda.” — Ricardo Fuentes, Executive Director of Oxfam Mexico

“Data is the lifeblood of decision making & key component of SDGs.” — Haile Owusu, Chief Data Scientist at Mashable

“Let’s take data and make it useful for social good”. — Shamina Singh, Executive Director of MasterCard Center for Inclusive Growth


We strongly identify with Target 17.18 to “enhance capacity-building support to developing countries”, and to “increase the availability of high-quality, timely and reliable” disaggregated data. As always, the collection of DHS data is part of a capacity strengthening process. And while DHS surveys aren’t designed to capture all of the SDG targets or each detail, the skills learned through survey implementation – data collection, processing, analysis, and use – contribute to international capacity towards achieving these goals, thus enabling social good!


06 Oct

From Data Tables to Meaningful Charts: An Introductory Course on Data Visualization

Have you ever seen an infographic that was beautiful, but didn’t have a clear message?

Or wade through a bunch of tables but struggle to see any meaningful patterns and trends?

Ever see a chart you thought was terrible, but couldn’t figure out how to fix it?

Data visualizations are key to disseminating DHS survey results. Whether it’s through charts and maps in print reports, interactive graphs on STATcompiler or the mobile app, or infographics on our social media channels, DHS staff are always hard at work figuring out how best to communicate our results through clear and compelling visualizations.

In recent years, we have noticed an increased demand for data visualization assistance in the field. Our implementing agencies, journalists, and data use partners in Africa and Asia are asking: “How do we visualize our census data?”, “How do you know which kind of chart to use for that indicator?”; and “How can we show these data in an accessible infographic?”.

data viz

Towards that end, DHS staff have contributed to the Global Health eLearning Center’s recently released introductory course on data visualization. This course tackles a lot of strategic and practical information in a 4 step process: identifying
your audience and their context, finding the story in your data, building your visualization, and dissemination and use.

The course pulls from the current expertise in data visualization, from Edward Tufte to Stephanie Evergreen, but repackages it with a global health perspective and with a beginning learner in mind. Global health projects worldwide are expected to make data-driven decisions, to monitor and evaluate their progress, and to report successes to governments and funding agencies. Basic data visualization skills can enhance individual’s and organizations’ abilities to analyze and present their data, leading ultimately to better data use and more efficient global health programming.

Through a realistic case study and a set of commonly used World Bank population indicators, the course introduces concepts such as numeracy, drafting data headlines, smart use of preattentive attributes, matching data stories to the appropriate graph type, and working with a diverse team of experts to develop more complex visualizations such as infographics, maps, and data dashboards.

This basic principles covered in this data visualization eLearning course have also inspired a one day in-person data visualization workshop that DHS staff will be offering in a DHS country for the first later this year. The course is full of hands-on data visualization activities, and participants will leave with practical tools and draft visualizations that they can use in their everyday work.

Want to see great examples of data visualization in global health or browse some great data viz tips? Follow the DataVizHub blog!

data viz 2

23 Sep

STATcompiler Grows Up: 500+ New Indicators and a Mobile-Friendly Interface

In 1999, The DHS Program released the first STATcompiler.  It was designed to replicate the tables in the tabulation plan of the DHS final reports at the time.  Now, more than 15 years later, that database has reached “antique” status. While the user interface did get an overhaul in 2011, technology has continued to move ahead at lightning speed, with more users accessing DHS tools on mobile devices and expecting more advanced visualizations and a modern design.

In September 2015, The DHS Program released a new STATcompiler, currently as a “Beta” site.  The Beta STATcompiler is built around an updated and newly harmonized database, and is experienced through a modern, mobile-friendly user interface.

The old STATcompiler tool will remain available, but new surveys and indicators will not be added to that database, so orient yourself to the new tool today!

What’s new about the new STATcompiler?

More than 500 new indicators, reflecting current DHS data collection and reporting.
 In particular, the STATcompiler now has indicators on female genital cutting, domestic violence, new malaria indicators, and maternal mortality ratios.



Tagging. Many people use STATcompiler to find key reporting indicators, but it is challenging to find those specific indicators in the huge list of DHS data.  The new tagging functionality allows users to see curated lists, by international indicator groups such as the MDGs or specialized topics, like gender.


. DHS data users know a brief indicator title rarely captures enough technical information.  Our new “indicator details” box provides full definitions, denominators, and whether the data value is a rate, a percentage, a median, or a ratio.



New visualizations.  We are always looking for new and better ways to visualize DHS data.  The mapping functionality in the new STATcompiler now includes a pop-up box that summarizes the national trends or range of subnational values for viewing alongside the map.



Confidence intervals.  While all survey statistics have an assumed degree of error, those associated with rare events, particularly HIV prevalence and maternal mortality ratios, have relatively large confidence intervals which make interpretation of trends and comparisons especially tricky.  In this new iteration of STATcompiler, the confidence intervals for HIV prevalence and maternal mortality ratio are included, as a default, in all data views.



Mobile friendly user interface.  STATcompiler is now easily accessed through mobile devices, including iPhones and iPads.


Use of the public DHS Program API.  The data in the Beta STATcompiler are coming straight from the database that is accessible via the public Application Programming Interface (API).  This means that we are using the same data in our applications that you can use in yours.


We welcome your feedback about the Beta STATcompiler.  Please note that all STATcompiler data have been recalculated and DHS staff are still in the process of verifying the accuracy and completeness of the data.  If you see something you suspect is incorrect, please email us at statcompiler@dhsprogram.com.

16 Sep

Sampling and Weighting with DHS Data

At long last, The DHS Program has released two videos which demonstrate how to weight DHS data, concluding the Sampling and Weighting video series.

2012 Tajikistan DHS

2012 Tajikistan DHS

The first video in the series, Introduction to DHS Sampling Procedures, as well as the second
video, Introduction of Principles of DHS Sampling Weights, explained the basic concepts of sampling and weighting in The DHS Program surveys using the 2012 Tajikistan DHS survey as an example. Read our introductory blog post for more details.

In contrast, the third and fourth videos use an Example Practice Dataset, so viewers can practice weighting DHS data and replicate what is being shown in the videos while they are watching. The Example Practice Dataset was specifically created for DHS data users to have hands-on practice using DHS data in different statistical packages (Stata, SPSS and SAS) and does not represent the data of any actual country.

The third video, How to Weight DHS Data in Stata, explains which weight to use based on the unit of analysis, describes the steps of weighting DHS data in Stata and demonstrates both ways to weight DHS data in Stata (simple weighting and weighting that accounts for the complex survey design).


The fourth video, Demonstration on How to Weight DHS Data in SPSS and SAS, is the same as the third video, except it uses the statistical software packages SPSS and SAS instead of Stata.

After watching these videos, you will be able to answer the following questions:

  • Which weights should I use for my analysis?
  • What are the steps of weighting data in a statistical software package?
  • How do I weight DHS data in Stata, SPSS or SAS?
  • How do I account for the complex sample design when weighting in Stata, SPSS or SAS?

If you have more questions, visit the user forum!

What did you learn from the sampling and weighting videos? What would you like to explore further? Comment below!

09 Sep

4 Key Features of The DHS Program Mobile App v2.0

The DHS Program mobile app was first released in September 2013. Now, two years later, we are ready with the latest version: meet The DHS Program Mobile App v2.0!

The home page of The DHS Program Mobile App v2.0

Many changes have been made, but the key features of v2.0 include:

  1. Access to new data

2014 Egypt DHS Survey Information

Data is retrieved from the newly revised STATcompiler database through The DHS Program API. Basically, you are guaranteed access to the most recent data.

  1. Access to more indicators

Examples of new indicators.

The first version of the mobile app contained data on 24 indicators. With the update, you have access to 101 more – for a total of 125 indicators!

As long as you are connected to the internet, all data are immediately available. If you are offline, you can still access national level data for all indicators and background characteristics for the original 24 indicators.

For offline access to background characteristics of the 101 new indicators, you can download a specific country’s data package. This leads us to the next feature…

  1. Downloadable & customizable data packages

    Downloading the full Peru data package.

You now have the option to download data packages of countries of your choosing. This way you gain access to the complete set of data while offline.

Once downloaded onto your device, it is available at all times. For example, say you download a data package at an internet café. Once you are offline, it will still be there until you clear it.

  1. New design & easy navigation

Sortable bar charts.

v2.0 is both visually appealing and user-friendly, from the ‘hamburger’ stack menu to the sortable bar charts of indicator data.

Download the new version and see it for yourself! We hope you love it as much as we do.

If you already have the app, your device will prompt you to update. Otherwise, you can download it below.

For iOS: Download here

For AndroidDownload here

02 Sep

Spotlight on New Staff: Natalie La Roche


Natalie La Roche

Name: Natalie La Roche

Position title:  Desktop Publishing Specialist

Languages spoken: English

When not working, favorite place to visit:  The beach

Favorite type of cuisine: Italian and Asian

Last good book you read: The Alchemist, by Paulo Coelho.

Where would we find you on a Saturday? Spending time outdoors; spending time with family; walking my dog.

First time you worked with DHS survey data: May 2014

What is on your desk (or bulletin board/wall) right now? Lovely souvenirs brought back from others’ travels.

2013 Gambia DHS

2013 Gambia DHS

What is your favorite survey final report cover? 2013 The Gambia DHS Final Report cover.

What’s your favorite way to access The DHS Program’s data?  Through The DHS Program’s website.

What population or health issue are you most passionate about? Why? Female genital cutting (FGC) and fistula. Because both are physically and emotionally harmful to females, yet preventable with outreach and education.

What are you most looking forward to about your new position? Helping produce international reports that contribute to positive health outcomes in developing countries.


The information provided on this Web site is not official U.S. Government information and does not represent the views or positions of the U.S. Agency for International Development or the U.S. Government.

The DHS Program, ICF International
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