At a time when India’s sex ratio at birth is low and declining–from 909 (2011) to 887 (2014)–there are, in poor, populous Uttar Pradesh (UP), districts such as Aligarh, Moradabad, Mainpuri, Deoria and Balrampur, with sex ratios at birth exceeding 1000–in other words, better than any state in India.
So, too, with the infant mortality rate (IMR) and maternal mortality ratio (MMR). Kanpur Nagar district in western UP had an IMR of 37 in 2012-13, which was better than the Indian average (42). UP’s maternal mortality ratio (MMR) is 258, but Meerut mandal in western UP (including urban NOIDA and Ghaziabad) had an MMR of 151, better than the Indian average, although Devi Patan mandal, 600 km to the south-east had an MMR of 366, worse than Ethiopia and Haiti.
While UP may appear to be a monolith of Hindi-speaking, overwhelmingly poor people with some of India’s worst health parameters, as the second part of this series told us, a district-level analysis by Observer Research Foundation, using data from the Annual Health Survey (AHS 2012-13)–the latest available–reveals that India’s most-populous state has almost continental style variations in its healthcare system and indicators. The latest data from the National Family Health Survey (NFHS-2015-16) for UP will be released only after the elections, scheduled for February 11 onwards.
The Annual Health Survey (AHS) of 2012-13 covered 21 million people across nine large, low-performing Indian states and close to five million people in Uttar Pradesh alone. The AHS remains the world’s largest household sample survey, with its sample size greater than the population of Sri Lanka.
AHS gives major health indicators at the district level. The wealth of data collected by AHS remains an underutilised resource. The assembly elections may prove to be a good occasion to use it to promote policies that enhance well being in the state. As the Economic Survey 2015-16 observed, investing in health and nutrition are two sure-shot ways of enhancing the productive potential of a state.
Sex ratio at birth: Some districts have more women than men
Within UP, in 70 of 75 districts polled for AHS 2012-13, there are districts with a sex ratio of more than 1000, such as Aligarh, Moradabad, Mainpuri, Deoria and Balrampur, and districts with a sex ratio at birth of under 850, such as Varanasi, Firozabad, Agra, Bijnor and Budaun.
Sex Ratio Across Uttar Pradesh Districts (2012-13)

Immunisation coverage leaves children at risk of preventable disease and death
Immunisation remains low in UP, leaving many children at risk of preventable morbidity or death. In 2012-13, UP had fully immunised no more than 52.7% of its children, with 7.6% with no immunisation. The all-India average is 65.3% for full immunisation and 6.6% for no immunisation, for the year 2013-14.
Children In Uttar Pradesh Who Did Not Receive Any Vaccination

Some districts with low proportions of fully immunised children, such as Shrawasti (24.9%), Bahraich (27.5%), Balrampur (36.4%), Budaun (30.7%), Kheri (37.8%), Sitapur (35.4%) and Sonbhadra (32.4%), are potential epidemiological time bombs.
Children Who Received Polio Dose At Birth, By District

In Shrawasti, Balrampur and Sonbhadra districts, more than half the children do not receive a polio dose at birth. While India celebrates six years of being polio-free, outbreaks are still a risk.
District level infant mortality rates in UP is a picture of regional inequities
The IMR–or the probability of children below one year of age dying, expressed as deaths per 1,000 live births–provides indications about poverty and other socio-economic characteristics of a community, according to this 2012-13 AHS report.
With an IMR of 68 deaths per 1,000 live births in 2012-13, Uttar Pradesh continued to be the last among the states polled for the AHS.
Infant Mortality Rate In Uttar Pradesh, By District

A district-level analysis throws up wide disparities: the IMR in the north-eastern Shrawasti district is 96, almost three times the IMR of Kanpur Nagar (37) in western UP.
UP also has the highest neonatal mortality rate (NMR) among the AHS states: 49 neonatal deaths per 1,000 live births, whereas Jharkhand had the lowest at 23 per 1,000 live births. Within UP’s high NMR, again, are wide variations, indicating the precarious state of healthcare in large swathes of the state: Kanpur Nagar district has the lowest NMR of 24 per 1,000 live births, whereas Siddarthanagar to the east has the highest NMR of 70 per 1,000 live births.
As our maps show, a new government will need to address the inter-district disparities revealed in our analysis, particularly regions with high proportions of preventable infant deaths.
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