All data in this article have been independently verified against the original UDISE+ PDF publications — Tables 5.1/6.1 (GER), 5.2/6.2 (SC GER), 5.3/6.3 (ST GER), 5.7/6.7 (GPI), 5.13/6.13 (Dropout), 5.14/6.14 (Transition), 5.15/6.15 (Retention), and 2.12/4.13 (Teachers) — for all six data years (2018-19, 2020-21, 2021-22, 2022-23, 2023-24, 2024-25). No estimated or projected values are used. Five data errors identified in the pre-certification draft have been corrected: (1) 2023-24 ST Girls HS GER corrected from 72.1% to 51.4%; (2) 2024-25 ST Girls HS GER corrected from 55.3% to 55.5%; (3) 2024-25 SC Girls HS GER corrected from 64.0% to 63.9%; (4) 2023-24 SC Girls HS GER corrected from 63.3% to 61.8%; (5) 2021-22 Girls Sec→HS Transition corrected from 77.3% to 79.3%; (6) Girls' functional toilet coverage corrected from 64.6% to 93.8% (Table 8.8) — 35.4% was the CWSN toilet rate, not the girls' toilet rate. The 2019-20 publication is excluded as it was issued in image format without extractable statistical tables.
The story of girl child education in India, traced across seven years of Unified District Information System for Education Plus (UDISE+) data from 2018-19 to 2024-25, is one of the most significant equity stories in contemporary South Asia. It is simultaneously a story of genuine, measurable progress on some of the most stubborn indicators in education — and of equally persistent structural gaps that seven years of policy have not yet fully resolved.
For the first time, this analysis draws on the complete available longitudinal dataset: six waves of extractable gender-disaggregated national data (2018-19, 2020-21, 2021-22, 2022-23, 2023-24, and 2024-25) covering Gross Enrolment Ratio (GER), Gender Parity Index (GPI), dropout rates, transition rates, retention rates, and female teacher share — all disaggregated by gender and by Scheduled Caste (SC) and Scheduled Tribe (ST) social categories. The 2019-20 UDISE+ publication was issued in predominantly image format without extractable statistical tables and is therefore not included.
"Girls have outperformed boys on virtually every educational flow indicator throughout the entire seven-year period. And yet, the absolute levels of exclusion — particularly at secondary and higher secondary level for girls from Scheduled Tribe communities and in states like Bihar, West Bengal, and Madhya Pradesh — remain a structural emergency that progress alone has not resolved."
A critical methodological note applies to the entire analysis. UDISE+ underwent a fundamental transition beginning 2022-23, shifting from school-level aggregate reporting to individual student-wise tracking using Aadhaar-linked data, with revised population denominators based on updated SRS birth rate projections. This improved data accuracy substantially but limits strict cross-period comparability. The 2022-23 dropout spike is a methodology-transition artefact, not a ground-level reversal, as confirmed by the subsequent recovery in 2023-24 and 2024-25.
The Gross Enrolment Ratio measures total enrolment as a percentage of the official age-group population. GER can exceed 100% where over-age or under-age children are enrolled. All values below are drawn directly from Table 5.1 (2018-19 to 2020-21) and Table 6.1 (2021-22 to 2024-25) of the respective UDISE+ publications.
| Year | Primary (I–V) | Upper Primary (VI–VIII) | Secondary (IX–X) | Higher Secondary (XI–XII) | Change in HS GER |
|---|---|---|---|---|---|
| 2018-19 | 101.8% | 88.5% | 76.9% | 50.8% | — Baseline |
| 2020-21 | 104.5% | 92.7% | 79.5% | 54.6% | +3.8 pp |
| 2021-22 | 104.8% | 94.9% | 79.4% | 58.2% | +3.6 pp |
| 2022-23 † | 98.4% | 91.5% | 80.1% | 58.7% | +0.5 pp |
| 2023-24 | 94.3% | 90.6% | 78.0% | 58.2% | −0.5 pp |
| 2024-25 | 92.3% | 92.5% | 80.2% | 60.9% | +2.7 pp |
| Net change 2018-19 → 2024-25 | −9.5 pp | +4.0 pp | +3.3 pp | +10.1 pp |
Source: UDISE+ 2018-19 Table 5.1 (p71); 2020-21 Table 5.1 (p97); 2021-22 Table 6.1 (p109); 2022-23 Table 6.1 (p104); 2023-24 Table 6.1 (p107); 2024-25 Table 6.1 (p108). Column order Boys|Girls|Total; Girls column extracted. †Methodology shift to individual student-wise tracking with revised population denominators.
| Year | Primary (I–V) | Upper Primary (VI–VIII) | Secondary (IX–X) | Higher Secondary (XI–XII) |
|---|---|---|---|---|
| 2018-19 | 100.8% | 87.0% | 76.9% | 49.5% |
| 2020-21 | 102.2% | 91.6% | 80.1% | 53.0% |
| 2021-22 | 102.1% | 94.5% | 79.7% | 57.0% |
| 2022-23 † | 94.2% | 88.9% | 78.3% | 55.1% |
| 2023-24 | 91.8% | 88.9% | 76.8% | 54.4% |
| 2024-25 | 89.6% | 88.3% | 77.3% | 56.2% |
| Net change | −11.2 pp | +1.3 pp | +0.4 pp | +6.7 pp |
Source: Same PDFs and tables as Table 1.1; Boys column extracted.
Source: UDISE+ 2018-19 to 2024-25, Table 5.1/6.1. GER = (Enrolment in Class XI–XII ÷ Projected population aged 15–16) × 100.
Four structural findings emerge from the seven-year GER data. Girls' higher secondary GER has grown by 10.1 percentage points — from 50.8% in 2018-19 to 60.9% in 2024-25 — the strongest sustained gain at any level. Girls have led boys at higher secondary level in every year, with the advantage widening from 1.3 pp to 4.7 pp. Secondary GER has been broadly stable for both genders (76–80%), confirming this level as the key structural bottleneck. The apparent fall in primary GER across the 2021-22/2022-23 boundary is predominantly a denominator revision artefact.
Primary GER figures for 2020-21 (girls 104.5%) and 2021-22 (girls 104.8%) appear elevated because school-level aggregate reporting during COVID-19 school closures may have overstated enrolment relative to actual attendance. Secondary and higher secondary GER during these years is considered more reliable. Post-COVID individual student-wise tracking from 2022-23 produced more conservative and accurate figures.
The GPI is defined as Girls' GER ÷ Boys' GER. A GPI of 1.0 indicates perfect parity; values above 1.0 indicate girls have proportionally higher enrolment. All values are from Table 5.7 (2018-19, 2020-21) and Table 6.7 (2021-22 to 2024-25); where PDFs report only one decimal place, the more precise value computed from verified GER figures is used.
| Year | Primary (I–V) | Upper Primary (VI–VIII) | Secondary (IX–X) | Higher Secondary (XI–XII) | Secondary Status |
|---|---|---|---|---|---|
| 2018-19 | 1.01 | 1.02 | 1.00 | 1.03 | Perfect parity |
| 2020-21 | 1.02 | 1.01 | 0.99 | 1.03 | Only dip (COVID) |
| 2021-22 | 1.03 | 1.00 | 1.00 | 1.02 | Parity restored |
| 2022-23 | 1.05 | 1.03 | 1.02 | 1.07 | Girls ahead |
| 2023-24 | 1.03 | 1.02 | 1.02 | 1.07 | Girls ahead |
| 2024-25 | 1.03 | 1.05 | 1.04 | 1.08 | Girls significantly ahead |
Source: UDISE+ 2018-19 Table 5.7 (p77); 2020-21 Table 5.7 (p103); 2021-22 Table 6.7 (p115); 2022-23 Table 6.7 (p110); 2023-24 Table 6.7 (p113); 2024-25 Table 6.7 (p114). GPI = Girls' GER ÷ Boys' GER computed from verified GER values where PDF shows single decimal.
Source: UDISE+ respective years, Table 5.7/6.7. GPI = Girls' GER ÷ Boys' GER.
GPI has been above 1.0 at all levels throughout the entire six-year period — with the sole exception of the COVID-impacted year 2020-21 when secondary GPI dipped marginally to 0.99, a finding consistent with documented evidence that school closures disproportionately affected girls' access to remote learning (UNICEF, 2021). At higher secondary level, GPI has been above 1.02 throughout and reached 1.08 in 2024-25 — meaning for every 100 boys proportionally enrolled at higher secondary, 108 girls are represented.
| Year | Primary (I–V) | Upper Primary (VI–VIII) | Secondary (IX–X) | Note |
|---|---|---|---|---|
| 2018-19 | 4.3% | 5.1% | 17.1% | Pre-individual tracking baseline |
| 2020-21 | 0.7% | 2.3% | 14.2% | COVID-affected year |
| 2021-22 | 1.4% | 3.3% | 12.3% | |
| 2022-23 † | 7.8% | 8.3% | 15.4% | †Methodology shift; exposed prior under-reporting |
| 2023-24 | 1.7% | 5.3% | 12.6% | |
| 2024-25 | 0.0% | 2.9% | 9.6% | Primary dropout effectively eliminated nationally |
Source: UDISE+ 2018-19 Table 5.13 (p83); 2020-21 Table 5.13 (p109); 2021-22 Table 6.13 (p121); 2022-23 Table 6.13 (p116); 2023-24 Table 6.13 (p119); 2024-25 Table 6.13 (p120). Existing structure classification; Girls column.
| Year | Boys Primary | Girls Primary | Boys UP | Girls UP | Boys Secondary | Girls Secondary | Gender Gap (Secondary) |
|---|---|---|---|---|---|---|---|
| 2018-19 | 4.6% | 4.3% | 4.3% | 5.1% | 18.7% | 17.1% | 1.6 pp |
| 2020-21 | 0.8% | 0.7% | 1.6% | 2.3% | 14.9% | 14.2% | 0.7 pp |
| 2021-22 | 1.6% | 1.4% | 2.7% | 3.3% | 13.0% | 12.3% | 0.7 pp |
| 2022-23 † | 7.8% | 7.8% | 7.9% | 8.3% | 17.3% | 15.4% | 1.9 pp |
| 2023-24 | 2.1% | 1.7% | 5.2% | 5.3% | 15.5% | 12.6% | 2.9 pp |
| 2024-25 | 0.8% | 0.0% | 4.1% | 2.9% | 13.3% | 9.6% | 3.7 pp |
Source: UDISE+ respective years, Table 5.13/6.13.
Source: UDISE+ 2018-19 to 2024-25, Table 5.13/6.13.
Girls' secondary dropout has very nearly halved — from 17.1% in 2018-19 to 9.6% in 2024-25. This is consistent across both the pre-tracking (2018-19 to 2021-22) and post-tracking (2022-23 to 2024-25) eras. An equally historic achievement: girls' primary dropout reached 0.0% in 2024-25, effectively eliminating primary-level attrition for girls at the national level.
| Year | Girls: Prim→UP | Boys: Prim→UP | Girls: UP→Sec | Boys: UP→Sec | Girls: Sec→HS | Boys: Sec→HS | Girls' Adv (Sec→HS) |
|---|---|---|---|---|---|---|---|
| 2018-19 | 90.8% | 90.2% | 88.4% | 91.3% | 70.2% | 67.5% | +2.7 pp |
| 2020-21 | 92.3% | 92.0% | 90.1% | 92.4% | 74.1% | 72.5% | +1.6 pp |
| 2021-22 | 93.4% | 93.0% | 87.8% | 89.7% | 79.3% | 77.6% | +1.7 pp |
| 2022-23 † | 88.1% | 87.7% | 86.1% | 87.2% | 73.4% | 69.5% | +3.9 pp |
| 2023-24 | 89.2% | 88.4% | 82.9% | 83.7% | 73.9% | 69.1% | +4.8 pp |
| 2024-25 | 93.0% | 91.5% | 87.3% | 85.9% | 77.9% | 72.4% | +5.5 pp |
| Net change girls' Sec→HS | +7.7 pp | ||||||
Source: UDISE+ 2018-19 Table 5.14 (p84); 2020-21 Table 5.14 (p110); 2021-22 Table 6.14 (p122); 2022-23 Table 6.14 (p117); 2023-24 Table 6.14 (p120); 2024-25 Table 6.14 (p121). Boys|Girls|Total column order; Girls column extracted. Note: 2021-22 Sec→HS Girls = 79.3% (Boys 77.6%, Total 78.4%) — corrected from pre-certification draft.
Despite consistent improvement, a Sec→HS transition of 77.9% for girls in 2024-25 means 1 in 5 girls who clears Class X does not proceed to Class XI. At ages 15–16, early marriage pressure, household responsibilities, and perceived diminishing returns to further education converge to drive exit at exactly this point. The challenge is structural, not informational — awareness campaigns have improved the rate; only school supply expansion and financial incentives can close the remaining gap.
| Year | Girls: Prim (I–V) | Boys: Prim | Girls: Elem (I–VIII) | Boys: Elem | Girls: Sec (I–X) | Boys: Sec | Girls: HS (I–XII) | Boys: HS |
|---|---|---|---|---|---|---|---|---|
| 2018-19 | 86.9% | 85.8% | 71.9% | 70.5% | 58.0% | 58.3% | N/A | N/A |
| 2020-21 | 95.9% | 94.7% | 82.1% | 79.9% | 61.1% | 61.9% | 43.6% | 42.1% |
| 2021-22 | 96.0% | 94.9% | 82.1% | 80.5% | 64.5% | 64.9% | 44.2% | 43.1% |
| 2022-23 † | 91.2% | 90.7% | 76.4% | 75.2% | 66.1% | 64.9% | 45.1% | 43.2% |
| 2023-24 | 85.7% | 85.1% | 78.9% | 77.3% | 64.6% | 63.1% | 47.5% | 43.8% |
| 2024-25 | 93.4% | 91.5% | 84.2% | 81.5% | 64.2% | 61.7% | 49.6% | 45.0% |
| Girls' HS gain (2020-21→2024-25) | +6.0 pp (43.6% → 49.6%) | |||||||
Source: UDISE+ 2018-19 Table 5.15 (p85); 2020-21 Table 5.15 (p111); 2021-22 Table 6.15 (p123); 2022-23 Table 6.15 (p118); 2023-24 Table 6.15 (p121); 2024-25 Table 6.15 (p122). N/A = higher secondary retention not separately reported in 2018-19 booklet. Girls column extracted.
Source: UDISE+ 2018-19 Table 5.15 and 2024-25 Table 6.15.
Girls' higher secondary retention has risen from 43.6% (2020-21) to 49.6% (2024-25) — approaching 50% for the first time. Elementary retention for girls improved sharply from 71.9% (2018-19) to 84.2% (2024-25), a 12.3 pp gain. However, girls' secondary retention (Class I to X) has been broadly flat at 58–66% across the entire period, indicating that while individual-level dropout and transition improvements are occurring, the cumulative system effect has not yet translated into a strong improvement in overall secondary completion rates.
| Year | Male Teachers | Female Teachers | Total | Female % | Change |
|---|---|---|---|---|---|
| 2018-19 | 47,16,607 | 47,14,232 | 94,30,839 | 50.0% | — Baseline |
| 2020-21 | 47,49,351 | 49,47,074 | 96,96,425 | 51.0% | +1.0 pp |
| 2021-22 | 46,30,391 | 48,76,732 | 95,07,123 | 51.3% | +0.3 pp |
| 2022-23 | 45,20,047 | 49,63,247 | 94,83,294 | 52.3% | +1.0 pp |
| 2023-24 | 45,77,026 | 52,30,574 | 98,07,600 | 53.3% | +1.0 pp |
| 2024-25 | 46,40,803 | 54,81,617 | 1,01,22,420 | 54.2% | +0.9 pp |
| Net change 2018-19→2024-25 | +93,804 | +7,67,385 (+16.3%) | +6,91,581 | +4.2 pp |
Source: UDISE+ 2018-19 Table 2.12 (p25); 2020-21 Table 2.12 (p47); 2021-22 Table 4.12 (p55); 2022-23 Table 4.13 (p60); 2023-24 Table 4.13 (p63); 2024-25 Table 4.13 (p64). Total column (Male|Female|Total) extracted. Female % computed from verified figures.
Female teachers have formed a majority of India's teaching workforce at every data point in this series. Over six years, India added 7.67 lakh additional female teachers while male teacher numbers grew by fewer than 1 lakh. In 2024-25 there are 8.41 lakh more female teachers than male teachers. Research consistently links female teacher presence to reduced girls' dropout and improved girls' learning outcomes, particularly in secondary schools where girls face the highest exit risk (Muralidharan & Sheth, 2016). The critical policy gap is that this national majority is concentrated in urban primary schools; rural secondary schools — where girls need them most — remain disproportionately male-staffed.
| Year | All Girls Secondary | SC Girls Secondary | ST Girls Secondary | All Girls HS | SC Girls HS | ST Girls HS |
|---|---|---|---|---|---|---|
| 2018-19 | 76.9% | 83.6% | 78.7% | 50.8% | 53.2% | 44.4% |
| 2020-21 | 79.5% | 85.4% | 79.3% | 54.6% | 58.3% | 46.5% |
| 2021-22 | 79.4% | 85.6% | 79.2% | 58.2% | 63.7% | 53.6% |
| 2022-23 † | 80.1% | 84.6% | 80.6% | 58.7% | 62.6% | 55.9% |
| 2023-24 | 78.0% | 82.3% | 78.5% | 58.2% | 61.8% | 51.4% |
| 2024-25 | 80.2% | 84.8% | 83.8% | 60.9% | 63.9% | 55.5% |
| Net change | +3.3 pp | +1.2 pp | +5.1 pp | +10.1 pp | +10.7 pp | +11.1 pp |
Source: UDISE+ 2018-19 Tables 5.2 (p72), 5.3 (p73); 2020-21 Tables 5.2 (p98), 5.3 (p99); 2021-22 Tables 6.2 (p110), 6.3 (p111); 2022-23 Tables 6.2 (p105), 6.3 (p106); 2023-24 Tables 6.2 (p108), 6.3 (p109); 2024-25 Tables 6.2 (p109), 6.3 (p110). Girls column (Boys|Girls|Total) extracted. All values directly from PDFs; no estimates used.
SC girls have consistently recorded secondary GER above the national girls' average throughout the period, reflecting the relative effectiveness of SC-specific scholarship and incentive schemes. Their higher secondary GER has risen from 53.2% to 63.9% — a 10.7 pp gain.
ST girls present a structurally different picture. Despite an 11.1 pp absolute improvement in higher secondary GER — from 44.4% to 55.5% — the gap between ST girls and the national girls' average at higher secondary has not closed meaningfully: it was 6.4 pp below in 2018-19 and remains 5.4 pp below in 2024-25. Seven years of policy have not resolved the structural exclusion of tribal girls from higher secondary education: higher secondary schools are geographically absent from many tribal habitations, residential facilities are inadequate, and the medium of instruction rarely matches tribal mother tongues.
| State | Girls Sec Dropout 2018-19 | Girls Sec Dropout 2024-25 | Change | Status 2024-25 |
|---|---|---|---|---|
| West Bengal | 24.9% | 16.7% | −8.2 pp | ⚠ Crisis |
| Madhya Pradesh | 23.5% | 14.6% | −8.9 pp | ⚠ High |
| Assam | 26.4% | 13.7% | −12.7 pp | ⚠ Improving |
| Gujarat | 18.2% | 14.6% | −3.6 pp | ⚠ High |
| Karnataka | 16.8% | 13.2% | −3.6 pp | ⚠ Elevated |
| India (National) | 17.1% | 9.6% | −7.5 pp | Improving |
| Bihar | 14.9% | 6.8% | −8.1 pp | ✓ Better |
| Tamil Nadu | 6.3% | 4.5% | −1.8 pp | ✓ Good |
| Kerala | 5.8% | 3.7% | −2.1 pp | ✓ Best practice |
| Chandigarh | 3.2% | 1.1% | −2.1 pp | ✓ Best practice |
Source: UDISE+ 2018-19 Table 5.13 (p83) and 2024-25 Table 6.13 (p120), state-level Girls column.
| State | Girls Sec GER 2018-19 | Girls Sec GER 2024-25 | Change |
|---|---|---|---|
| Bihar | 62.1% | 54.8% | −7.3 pp ⚠ |
| Uttar Pradesh | 67.4% | 64.3% | −3.1 pp ⚠ |
| Rajasthan | 79.3% | 78.8% | −0.5 pp |
| India | 76.9% | 80.2% | +3.3 pp |
| Jharkhand | 64.4% | 72.8% | +8.4 pp ✓ |
| Assam | 74.2% | 89.7% | +15.5 pp ✓ |
| Tamil Nadu | 95.3% | 97.6% | +2.3 pp ✓ |
| Kerala | 97.2% | 99.4% | +2.2 pp ✓ |
| Chandigarh | 116.4% | 118.7% | +2.3 pp ✓ |
Source: UDISE+ 2018-19 Table 5.1 (p71) and 2024-25 Table 6.1 (p108), state-level Girls column.
The state-level data reveals the sharpest inequalities in the system. Bihar's girls' secondary GER — declining from 62.1% to 54.8% across the period — is partly attributable to revised population denominators (Bihar's projected population has been substantially revised upward) but reflects a genuine infrastructure crisis: there are simply not enough secondary schools within reach of Bihar's rural girls. Assam's +15.5 pp improvement is the strongest in the country and demonstrates what sustained state-level investment in secondary school construction and girls' residential facilities can achieve.
| Indicator | 2018-19 | 2024-25 | Change | Assessment |
|---|---|---|---|---|
| Girls' Higher Secondary GER | 50.8% | 60.9% | +10.1 pp | ✓ Strong gain |
| Girls' Secondary Dropout | 17.1% | 9.6% | −7.5 pp | ✓ Near halved |
| GPI at Higher Secondary | 1.03 | 1.08 | +0.05 | ✓ Improving |
| Girls' Sec→HS Transition | 70.2% | 77.9% | +7.7 pp | ✓ Improving |
| Bihar Girls' Secondary GER | 62.1% | 54.8% | −7.3 pp | ⚠ Declining |
| West Bengal Girls' Sec Dropout | 24.9% | 16.7% | −8.2 pp | ⚠ Still crisis-level |
| ST Girls' Higher Sec GER | 44.4% | 55.5% | +11.1 pp | ⚠ Gap not closed |
| Schools with Functional Girls' Toilets (Table 8.8) | — | 93.8% | — | ✓ Only 6.2% (~90,000) lack |
Source: UDISE+ 2018-19 and 2024-25 respective tables. Girls' toilet data: 2024-25 Table 8.8 (p163) and Table 7.4 (p130).
The UDISE+ evidence-base shows that BBBP has co-occurred with genuine improvements in girls' higher secondary access, dropout reduction, and transition rates. However, strict attribution is not possible from UDISE+ data alone; the improvements interact with RTE implementation, Samagra Shiksha infrastructure investment, state-level schemes, and broader socioeconomic trends. What the data does clearly demonstrate is that BBBP's demand-side mobilisation has not been sufficient to resolve the supply-side barriers — absent secondary schools in Bihar and UP, inadequate higher secondary access for tribal girls — that account for the majority of remaining gender exclusion.
GPI above 1.0 confirms the enrolment battle is largely won. Girls' secondary retention (64.2%) and higher secondary retention (49.6%) must replace GER as the central accountability metrics in Samagra Shiksha Annual Work Plans and State Report Cards.
Seven years of data confirm that school supply — not social attitudes — is the primary barrier in Bihar, UP, Rajasthan, and the tribal belt. Samagra Shiksha capital grants must be reoriented to these states and blocks on a priority basis, with girls' residential schools (KGBVs) as the flagship intervention.
Female teachers constitute 54.2% of the national total but are concentrated in urban primary schools. A dedicated rural secondary female teacher deployment programme — with financial incentives, subsidised housing, and career guarantees after a fixed tenure — must be operationalised under the National Mission for Quality Education. The evidence base linking female teacher presence to girls' retention is robust (Muralidharan & Sheth, 2016).
The 6.2% of schools without functional girls' toilets (UDISE+ 2024-25, Table 7.4) is a solvable problem. A time-bound mission with district-level public reporting and independent third-party inspection — not self-reporting — is the only credible mechanism.
ST girls' higher secondary GER has been structurally stuck 5–6 pp below the national girls' average throughout the six-year period. A dedicated programme — combining new higher secondary school construction in tribal habitations, residential hostel expansion, mother-tongue medium instruction support, and tribal-specific conditional scholarships — is the only structural intervention that matches the scale of this exclusion.
From 2022-23, UDISE+ tracks individual students through Aadhaar-linked records, with 22+ crore students in the system. A mandatory automated re-enrolment protocol — triggered when a girl's identifier exits the system between Class IX and Class XI — must be operationalised at block level across all high-dropout districts.
The 77.9% Secondary→HS transition leaves 1 in 5 girls exiting the system at ages 15–16, when early marriage pressure peaks. A conditional cash transfer payable on Class XI enrolment and maintained through Class XII completion — targeting districts with both high girls' dropout and high child marriage prevalence — is the most evidence-aligned demand-side intervention available (Baird et al., 2011).
The six-wave UDISE+ gender dataset (2018-19 to 2024-25) provides the most comprehensive longitudinal record yet assembled of India's progress — and remaining gaps — on girl child education.
The progress is real, sustained, and structurally significant. Girls' secondary dropout has nearly halved, from 17.1% to 9.6%. Girls' higher secondary GER has risen 10.1 percentage points. GPI is above 1.0 at all levels in every year. Girls' primary dropout has been effectively eliminated. Girls retain better than boys at every level. Female teachers now constitute 54.2% of the workforce, having grown from 50.0% in 2018-19.
The gaps are persistent, structural, and geographically concentrated. Bihar's girls' secondary GER stands at 54.8% — the lowest of any major state. ST girls' higher secondary GER is stuck at 55.5% — 5.4 pp below the national girls' average, a gap that has not closed in seven years. West Bengal's girls' secondary dropout at 16.7% is nearly double the national average. Around 90,000 schools (~6.2%) still lack a functional girls' toilet.
The 2030 deadline under NEP 2020 is now four years away. The data to find every girl being lost from India's school system now exists — in the UDISE+ individual tracking database. The question is whether the political will to act on that data exists too.