Health Nutrition and Population

**Overview**
This data package contains data on key health, education, nutrition, and population statistics gathered from different international sources.

**Description**
This data package contains time-series datasets on the population of countries worldwide and information on health, nutrition, education and service delivery indicators. Indicators included are the following: population dynamics, nutrition, reproductive health, health financing, medical resources and usage, immunization, infectious diseases, HIV/AIDS, disability-adjusted life year (DALY), population projections and lending and health, nutrition and population statistics by wealth quintiles as well as childhood diseases and interventions, nutrition, sexual and reproductive health, mortality, and other determinants of health, for more than 90 low- and middle-income countries. The datasets included in this data package are datasets from the World Bank Data Catalog and Institute of Health Metrics and Evaluation.

**Benefits**
- This data is useful for developing country governments seeking to improve development indicators for health, nutrition, education, and population. this can be used for further research
- officials and program managers for potential interventions, setting priority areas for action and evaluating progress
- policymakers for policy use and development
- development agencies aid in allocating resources and budget for development.

**License Information**
The use of John Snow Labs datasets is free for personal and research purposes. For commercial use please subscribe to the [Data Library](https://www.johnsnowlabs.com/marketplace/) on John Snow Labs website. The subscription will allow you to use all John Snow Labs datasets and data packages for commercial purposes.

**Included Datasets**
- [Africa Educational Attainment Admin 1 2000 to 2015](https://www.johnsnowlabs.com/marketplace/africa-educational-attainment-admin-1-2000-to-2015)
- This dataset provides estimates for average years of educational attainment for women of reproductive age (15 to 49), women ages 20-24, and equivalent male age groups at the 5x5 km-level in 51 countries in Africa between 2000 to 2015.
- [Africa Educational Attainment Admin 2 2000 to 2015](https://www.johnsnowlabs.com/marketplace/africa-educational-attainment-admin-2-2000-to-2015)
- This dataset provides estimates for average years of educational attainment for women of reproductive age (15 to 49), women ages 20-24, and equivalent male age groups at the 5x5 km-level in 51 countries in Africa between 2000 to 2015.
- [Africa Educational Attainment Disparity Admin 1 2000 to 2015](https://www.johnsnowlabs.com/marketplace/africa-educational-attainment-disparity-admin-1-2000-to-2015)
- This dataset provides estimates generated for the disparity in years of educational attainment between males and females for women of reproductive age (15 to 49), women ages 20-24, and equivalent male age groups at the 5x5 km-level in 51 countries in Africa between 2000 to 2015.
- [Global Educational Attainment 1970 to 2015](https://www.johnsnowlabs.com/marketplace/global-educational-attainment-1970-to-2015)
- This dataset provides estimates of average years of educational attainment per capita for people over the age of 15 for the years 1970-2015 by year, sex, and age group for 188 countries, 21 GBD regions, 7 GBD super regions, and the global aggregate. Age-standardized and population-weighted estimates are included for females 15-44 and for both sexes for the age group 25+.
- [Health Nutrition and Population Statistics by Wealth Quintile](https://www.johnsnowlabs.com/marketplace/health-nutrition-and-population-statistics-by-wealth-quintile)
- This time-series dataset includes data on countries worldwide and information on indicators pertaining to health and population by wealth quintile by each country from 1990 to 2020.
- [Health Nutrition and Population Statistics](https://www.johnsnowlabs.com/marketplace/health-nutrition-and-population-statistics)
- This time-series dataset includes data on countries worldwide and information on indicators pertaining to health and population by each country from 1960 to 2021.
- [Health and Education Service Delivery Indicator Definitions](https://www.johnsnowlabs.com/marketplace/health-and-education-service-delivery-indicator-definitions)
- This dataset is a subset of the Health and Education Service Delivery Indicators in Africa that includes operational definitions of the health and education service delivery indicators used in the Service Delivery Indicators project of the World Bank and its partners.
- [Health and Education Service Delivery Indicators in Africa](https://www.johnsnowlabs.com/marketplace/health-and-education-service-delivery-indicators-in-africa)
- This dataset includes data on the health and education service delivery indicators of African countries from 2010 to 2016. There is no available data for years 2011 and 2015. Data came from the Service Delivery Indicators project, a new Africa-wide initiative that tracks service delivery in education and health across African countries over time.
- [Subnational Population Database](https://www.johnsnowlabs.com/marketplace/subnational-population-database)
- This dataset includes national and subnational population data from countries and cities worldwide from 2000 to 2016.
- [US Poverty Level Statistics](https://www.johnsnowlabs.com/marketplace/us-poverty-level-statistics)
- The US Poverty Level Statistics dataset includes percentages and numbers of persons and children below the poverty level in the United States by race between 1973 and 2016.

**Data Engineering Overview**
**We deliver high-quality data**
- Each dataset goes through 3 levels of quality review
- 2 Manual reviews are done by domain experts
- Then, an automated set of 60+ validations enforces every datum matches metadata & defined constraints
- Data is normalized into one unified type system
- All dates, unites, codes, currencies look the same
- All null values are normalized to the same value
- All dataset and field names are SQL and Hive compliant
- Data and Metadata
- Data is available in both CSV and Apache Parquet format, optimized for high read performance on distributed Hadoop, Spark & MPP clusters
- Metadata is provided in the open Frictionless Data standard, and its every field is normalized & validated
- Data Updates
- Data updates support replace-on-update: outdated foreign keys are deprecated, not deleted

**Our data is curated and enriched by domain experts**

Each dataset is manually curated by our team of doctors, pharmacists, public health & medical billing experts:
- Field names, descriptions, and normalized values are chosen by people who actually understand their meaning
- Healthcare & life science experts add categories, search keywords, descriptions and more to each dataset
- Both manual and automated data enrichment supported for clinical codes, providers, drugs, and geo-locations
- The data is always kept up to date – even when the source requires manual effort to get updates
- Support for data subscribers is provided directly by the domain experts who curated the data sets
- Every data source’s license is manually verified to allow for royalty-free commercial use and redistribution.

**Need Help?**
If you have questions about our products, contact us at [[e-mail]](mailto:[e-mail]).