Downloads
Methodology
- Data source: UIDAI Aadhaar Enrolment Dataset
- Scope: Maharashtra, monthly granularity
- Aggregations: State monthly totals; district-by-month; pincode-by-month; seasonality (month-of-year)
- Definitions:
- Saturation risk: Last 3-month avg ÷ rolling 12-month max (district)
- Volatility: 12-month std dev compared to state median
- Child momentum: Share and trajectory of 0–5 and 5–17 in total
State Monthly Trend
What: Monthly state-level Aadhaar enrolments over time
Key findings: Overall change: 635.0%; recent avg MoM growth: -11.1%.
Why it matters: Tracks momentum and helps plan outreach or capacity scaling.
Key findings: Overall change: 635.0%; recent avg MoM growth: -11.1%.
Why it matters: Tracks momentum and helps plan outreach or capacity scaling.
Age Group Dynamics
What: Stacked area of age-group enrolments
Key findings: Shares — 0–5: 73.9%, 5–17: 23.9%, 18+: 2.2%.
Why it matters: Helps target initiatives for children, students, and adults.
Key findings: Shares — 0–5: 73.9%, 5–17: 23.9%, 18+: 2.2%.
Why it matters: Helps target initiatives for children, students, and adults.
District-Level Disparities
What: Top and bottom district enrolments (12 months)
Key findings: Top: Thane (49580), Pune (38126), Nashik (27229); Bottom: Gondia (38), Ahilyanagar (24), Hingoli * (1).
Why it matters: Highlights areas for targeted support and resource allocation.
Key findings: Top: Thane (49580), Pune (38126), Nashik (27229); Bottom: Gondia (38), Ahilyanagar (24), Hingoli * (1).
Why it matters: Highlights areas for targeted support and resource allocation.
Pincode Distribution
What: Monthly distribution of pincode-level enrolments
Key findings: Central tendency (median across months): ~16 enrolments per pincode.
Why it matters: Assesses local capacity needs and variability.
Key findings: Central tendency (median across months): ~16 enrolments per pincode.
Why it matters: Assesses local capacity needs and variability.
Seasonality Index
What: Month-of-year seasonal index of enrolments
Key findings: Peak months: 7, 4; plan staffing and campaigns accordingly.
Why it matters: Seasonal planning improves throughput and user experience.
Key findings: Peak months: 7, 4; plan staffing and campaigns accordingly.
Why it matters: Seasonal planning improves throughput and user experience.
District Risk Flags
What: Count of districts flagged for saturation, low momentum, and volatility
Key findings: Saturation risk: 49; Low momentum: 0; Volatile: 22.
Why it matters: Directs attention to underperforming or unstable areas.
Key findings: Saturation risk: 49; Low momentum: 0; Volatile: 22.
Why it matters: Directs attention to underperforming or unstable areas.
Child Enrolment Momentum
What: Share of child enrolments in total over time
Key findings: Latest child share: 93.9%. Monitor changes post school cycles.
Why it matters: Guides child-focused outreach and school partnerships.
Key findings: Latest child share: 93.9%. Monitor changes post school cycles.
Why it matters: Guides child-focused outreach and school partnerships.
Policy Recommendations
- Prioritize biometric update infrastructure for children (93.9% share).
- Deploy mobile enrolment units in low-performing districts (Gondia, Ahilyanagar, Hingoli *).
- Align outreach campaigns with seasonal peaks (July & April).
- Monitor volatile districts for operational instability (e.g., Jalgaon, Jalna, Ahmadnagar).
- Shift focus from enrolment to service quality in saturated districts (approx. 49 flagged).