One way to look at excess mortality from the Covid-19 Pandemic is through the Health Management Information System (HMIS) dataset. While this has many drawbacks, the most pertinent one being that deaths are underreported here as well, It does give us a nationally representative picture of the excess mortality due to Covid-19 across the two waves of the pandemic.

The graph above is based on all-cause deaths for adults and adolescents, and also reflects maternal mortality. From this graph, we can clearly see a spike in April-May of 2021, clearly the worst time in the pandemic for India so far…

Open access data on excess mortality across 132 districts, 8 states

There is consensus that reported COVID-19 mortality across India are the tip of a rather grim iceberg. However, the degree of the undercounting is far from settled. The degree of underestimation also potentially varies drastically across cities, urban and rural India, and state administrations. Vital statistics data maintained by districts are sporadically becoming available.

Data journalists across news-houses and RTI activists have done incredible work uncovering crucial data on registered deaths for states and districts across 2019–2021 over the past few weeks. Development Data Lab collaborated with a pioneering group of data journalists and researchers to bring these all-cause data…

An interactive platform of district-level COVID risk projections for India

The second-wave of Covid-19 caught most of India — both governments and citizens — thoroughly unprepared. Several commentators have pointed out that lack of preparation, slack amongst government and citizens in pandemic precaution, and a complacent attitude toward evidence exacerbated the tragedy.

The second wave may be waning in Mumbai, and test positivity rates may be declining in Delhi, but this wave is far from over. Can we do better in districts that have not been through the worst yet? Can we buy some time? Can we allocate resources (oxygen, PPE, funds, medical supplies) based on careful calculation of which…

We added district level daily vaccination data to the open-access Covid portal we built last year.

The Challenge

India has seen an astronomical increase in active Covid cases since Holi (March, 2021). The country is nervous about a second lockdown. Rightly so, as it would be a blow to the already battered livelihoods of millions of informal workers after last year. Parallelly, the increase in cases is a nightmare for the already stretched health-care infrastructure in several cities. Policy makers are faced with the enormous challenge of vaccinating as many of the ~916 million adults across the country as quickly as possible.

Last year, around this time, with support from Emergent Ventures at George Mason University…

An open-access dataset of 80 million Indian legal case records

The 7000 odd courts that make up India’s lower judiciary processed more than 80 million cases between 2010–2018. That huge backlog and scarce resources plague Indian courts is well-known. But which districts bear the greatest burden? Where has delay in due process been the most crippling? Are the benches diverse — do they mirror the underlying population of a state? Have crimes against women been on the rise — are specific districts particularly notorious? …

Development Data Lab

We develop cutting edge data sources and harness the latest analytical tools to help people in poverty around the world achieve their true potential.

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