Source and method

Naampy v3, Harvard Dataverse, released 10 June 2025 (CC0) aggregates historical Indian electoral rolls, chiefly records of adults. These pages use recorded birth years 1910–2001. Individual roll years are not documented. These are historical records, not baby-name rankings or estimates of today’s population.

Rankings include only names with indexable meaning profiles and published state cells of at least 100 records. Spellings follow the catalogue’s name groups. The girls’ and boys’ sections use the name’s editorial gender label across the catalogue, not a state-specific sex count. Names labelled unisex can appear in the distinctive list. Rankings describe this catalogue, not every name in the source.

Each state share divides a name’s published state count by all records for that state in the Latin-script source table. The national share divides the same name’s national count by all 467,756,750 records in that table. “National” means the covered source, which omits Tamil Nadu and West Bengal. Native-script totals are kept separate and are not used here.

The location quotient is the state share divided by the national share. A value of 3× means that the name’s share of records in that state is three times its share across the source. Distinctive lists require at least 1,000 published records in the state and a quotient of at least 1.05. They rank by quotient, then records, then name. Top-name lists rank by records, then name.

A state or territory page needs at least 12 eligible names with published state counts and at least 12 distinct profiles across its displayed lists. Thin source samples contain fewer than one million records in the full Latin table. Maharashtra and Gujarat have sparse coverage among this catalogue’s eligible names. These limits affect the lists and ratios; a larger quotient does not establish representative coverage.

Every displayed Naampy count is at least 100. Omitted cells are not zero. No suppressed cell is estimated, no remainder is calculated here, and no state-by-decade table is made. Profile concentration claims compare published state cells only and require the same distinctive-count floor. Names and records cannot identify anyone’s region, religion or community.

Full methodology · Sources and attribution · National birth-decade records