Maharashtra-District-Public-Service-Gap-Dataset

A district-level Maharashtra dataset integrating demographic vulnerability, health outcomes, and healthcare infrastructure to study public service gaps across the state.

About Dataset

The Maharashtra District Public Service Gap Dataset integrates official Government of India data from Census 2011, NFHS-5 (2019–2021), and Rural Health Statistics to provide a district-level view of demographic vulnerability, health outcomes, and healthcare infrastructure across Maharashtra's 36 current districts. The dataset includes cleaned source indicators, derived variables, domain-level gap indices, and three overall public service gap measures: equal-weight, PCA-based, and domain-weighted. Geographic name reconciliation, missing-data handling, data-quality checks, variable-selection decisions, provenance, and sensitivity analysis are documented to support reproducible research. The dataset is intended for exploratory analysis, comparative research, public-policy studies, health analytics, and machine-learning applications. It should not be interpreted as a definitive ranking of districts or as evidence of causal relationships.

Purpose of Dataset

The dataset is designed to support district-level analysis of public-service disparities in Maharashtra. It can be used for exploratory data analysis, district comparison, health and social-development analytics, vulnerability assessment, clustering, anomaly detection, visualization, and machine-learning research. The integrated indicators and gap indices can help researchers investigate relationships between demographic vulnerability, health outcomes, and healthcare infrastructure and identify districts or patterns requiring further investigation. The dataset is intended to support evidence-based research and policy discussion rather than definitive district rankings or causal conclusions.

Dataset Metadata

License

Open Government License, India

Geographical coverage

Maharashtra, India

Sector

Healthcare, Wellness and Family Welfare

Author

Naman Navin Mahadule

Source Organisation

Amity University Maharashtra, Mumbai

Uploaded by

Naman Navin Mahadule

Data Quality Score (Beta)

4.46

Dataset type

Structured

Frequency

Static

Time Granularity

Annually

Year range

01/01/2011 - 31/12/2021

Date & Time

20/08/26 06:06:40

Visibility

Open

Primary Key / Indicator

District_name

Hosted / Redirected

Hosted

Data Type

Secondary

Data Collection Method

Secondary Data Integration From Official Government Of India Sources, Followed By Data Cleaning, Geographic Reconciliation, Variable Derivation, Index Construction, And Sensitivity Analysis.