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Description

The Global Subnational Infant Mortality Rates, Version 2 consist of infant mortality rate (IMR) estimates for 234 countries and territories, 143 of which include subnational units. The data are benchmarked to the year 2015 (Version 1 was benchmarked to the year 2000), and are drawn from national offices, Demographic and Health Surveys (DHS), Multiple Indicator Cluster Surveys (MICS), and other sources from 2006 to 2014. Boundary inputs are derived primarily from the Gridded Population of the World, Version 4 (GPWv4). National and subnational data are mapped to grid cells at a spatial resolution of 30 arc-seconds (~1 km) allowing for easy integration with demographic, environmental, and other spatial data.

Product Summary

Platforms
MODELS
Instruments
Computer
Spatial Extent

N: 85 S: -90 E: 180 W: -180

Location
GLOBAL
Coordinate System
CARTESIAN
Granule Spatial Representation
CARTESIAN
Temporal Extent
2015-01-01 to 2015-12-31
Data Partner
Earth Science Data Information System (ESDIS)
Concept ID
C3540911790-ESDIS
Data State
COMPLETE
Number of Files/Granules
4
Processing Level
3
Published
Updated
Science Keywords
Infant Mortality Rates

Citation

Citation is critically important for dataset documentation and discovery. This dataset is openly shared, without restriction, in accordance with the EOSDIS Data Use and Citation Guidance.

Copy Citation

Center For International Earth Science Information Network-CIESIN-Columbia University. (2016). Global Subnational Infant Mortality Rates, Version 2 [Data set]. Palisades, NY: NASA Socioeconomic Data and Applications Center (SEDAC). https://doi.org/10.7927/H4PN93JJ Date Accessed: 2026-05-12

Documents

GENERAL DOCUMENTATION

Publications Citing This Dataset

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Title Year Author Topic
Multi-dimensional impact assessment for priority setting of agricultural technologies: An application of TOPSIS for the drylands of sub-Saharan Africa and South Asia Gbegbelegbe, Sika, Alene, Arega, Swamikannu, Nedumaran, Frija, Aymen Infant Mortality Rates
Climate anomalies and international migration: A disaggregated analysis for West Africa Martinez Flores, Fernanda, Milusheva, Sveta, Reichert, Arndt R., Reitmann, Ann-Kristin Infant Mortality Rates
High-risk landscapes of Japanese encephalitis virus outbreaks in India Walsh, Michael G, Pattanaik, Amrita, Vyas, Navya, Saxena, Deepak, Webb, Cameron, Sawleshwarkar, Shailendra, Mukhopadhyay, Chiranjay Infant Mortality Rates
Detecting the linkage between arable land use and poverty using machine learning methods at global perspective Tian, Fuyou, Wu, Bingfang, Zeng, Hongwei, Watmough, Gary R, Zhang, Miao, Li, Yurui Infant Mortality Rates, Population Density
Air pollution from forest and vegetation fires in Southeast Asia disproportionately impacts the poor Reddington, Carly L., Conibear, Luke, Robinson, Suzanne, Knote, Christoph, Arnold, Stephen R., Spracklen, Dominick V. Infant Mortality Rates, Land Use/Land Cover, Surface Water, Population Size
Low mammalian species richness is associated with Kyasanur Forest disease outbreak risk in deforested landscapes in the Western Ghats, India Walsh, Michael G., Bhat, Rashmi, Nagarajan-Radha, Venkatesh, Narayanan, Prakash, Vyas, Navya, Sawleshwarkar, Shailendra, Mukhopadhyay, Chiranjay Infant Mortality Rates
Measuring the Economic Risk of COVID-19 Noy, Ilan, Doan, Nguyen, Ferrarini, Benno, Park, Donghyun Population Distribution, Infant Mortality Rates
Whence the next pandemic? The intersecting global geography of the animal-human interface, poor health systems and air transit centrality reveals conduits ... Walsh, Michael G., Sawleshwarkar, Shailendra, Hossain, Shah, Mor, Siobhan M. Infant Mortality Rates, Population Size
Social vulnerability and infant mortality in space dimension: an investigation of the world's most underdeveloped West Africa coastal area Yuan, Bocong, Wang, Zhaoguo, Li, Jiannan Infant Mortality Rates, Population, Poverty Levels
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