WHO Global Health Workforce Statistics (NHWA/GHED)

WHO Global Health Workforce Statistics (NHWA/GHED)

MH Subset Needed

National Health Workforce Accounts data with physician, nurse, and midwife density per 10,000 population by country. Combined with India's state-level HMIS data, enables health workforce gap analysis for Maharashtra's rural vs urban areas.

Build a health workforce gap analyzer comparing Maharashtra's health worker density against WHO standards.
Maharashtra subset not yet extracted. This is a global dataset that contains data covering Maharashtra. A regional subset can be extracted by filtering on geographic coordinates or administrative boundaries.
HomepageDownload

Quick Start

# Download from https://apps.who.int/gho/data/
import pandas as pd
df = pd.read_csv('ghed_data.csv')
india = df[df['Country'] == 'India']
print(india[['Cadre', 'Density_Per_10000']].head())
Modality
tabular
Size
~50 MB (global)
License
Format
CSV / Excel
Language
en
Update Frequency
annual
Organization
World Health Organization

Schema

FieldTypeDescription
countrystringCountry name
cadrestringHealth worker type (physician, nurse, etc.)
density_per_10000floatHealth workers per 10,000 population
yearintData year

Build With This

Create a healthcare staffing optimizer recommending health worker distribution across Maharashtra districts
Develop a medical education planning tool forecasting Maharashtra's future health workforce needs
Build a telemedicine deployment planner identifying health worker shortage areas where remote care has highest impact

AI Use Cases

Health workforce distribution analysisDoctor-patient ratio optimizationRural healthcare access gap identificationHealthcare facility staffing modelsCross-country benchmarking for MH health systems
Last verified: 2026-03-07