Yes, each of the five monthly tables has a `Location` column (city or region), and the data is heavily concentrated in a few Indian metros. The counts below come from the location breakdown across all 446 rows (Jan–May 2022 combined). **Concentration** - **Bangalore:** 124 rows (27.8%) are spelled "Bangalore". Variant spellings add 10 "Bengaluru" and 6 "Banglore", so the true Bangalore total is about **140 rows (~31%)**. - **Mumbai:** 62 rows (13.9%), plus one misspelled "Mumba". - **Gurgaon:** 48 rows (10.8%). - **New Delhi:** 31 rows (7.0%), plus 2 "New delhi". - **Chennai:** 27 rows (6.1%). - The next tier is Noida (15), Hyderabad (14) and Pune (12). - Together, the five biggest hubs (Bangalore, Mumbai, Gurgaon, Delhi and Chennai) cover roughly 70% of rows. - Delhi-NCR is the second major cluster once Gurgaon, New Delhi, Noida and Faridabad are combined. That is roughly 99 rows, or about 22%. I did not count the 5 "Haryana" rows, which are a state rather than a city. **Long tail** - Many places have only 1–6 rows each, for example Jaipur and San Francisco (6 each), Ahmedabad (5), Kolkata, Surat, Thane and Coimbatore (2 each). - A few startups are located abroad: San Francisco, Delaware, Newyork, Tokyo, London, Amsterdam and Maryland. These are a small share of the data. **Data quality caveats** - 20 rows (4.5%) have a blank location. The May table is known to have misaligned or blank rows. - Spelling variants split the same city, such as Bangalore, Bengaluru and Banglore, or Ahmedabad and Ahemdabad. - Some values are not cities at all: "Haryana" is a state, and "Kormangala" is a neighbourhood within Bangalore. - The location list I pulled stopped at 30 distinct values, so the very smallest places are not all shown. The ranking at the top is unaffected. - Cleaning the spellings before any geographic analysis would move Bangalore's share up and tidy the tail.