23 Sep 2015

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 2015

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 2015

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

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
530 Gaither Road, Suite 500, Rockville, MD 20850
Tel: +1 (301) 407-6500 • Fax: +1 (301) 407-6501

Anthropometry measurement (height and weight) is a core component of DHS surveys that is used to generate indicators on nutritional status. The Biomarker Questionnaire now includes questions on clothing and hairstyle interference on measurements for both women and children for improved interpretation.