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Population and country context
These figures are sourced observations and calculated values, not a live feed. Country GDP describes the country, not the city.
- City population
- 10,292,408
Instituto Nacional de Estadistica e Informatica (INEI), Peru · 2024 · province · review within_review_window · Provincia de Lima (43 distritos), INEI population projection as of 30 June 2024 - Share of country population
- 30.1%
formula-derived · 2024 · city_population / country_population * 100 · derived_from_aligned_source_geographies - Country population
- 34,217,848
World Bank · 2024 · country · review within_review_window · country - Country urbanisation
- 85.2%
World Bank · 2024 · country · review within_review_window · country - Country GDP per person (PPP)
- Intl$ 17,882
World Bank · 2024 · country · review within_review_window · country - Historical city-population growth
- unavailable (no comparable city series selected)
- Projected city-population growth
- unavailable (projection source not selected)
Tech-start-up-scene growth
Every genuinely comparable measure is kept separate and sourced where possible. Missing measures remain unavailable. Any agent estimate is clearly labelled as unsourced: it is not a published fact or advice.
StartupBlink Ecosystem Growth Rate
- Metric
- startupblink_annual_ecosystem_growth_rate
- Description
- StartupBlink's own published year-over-year Ecosystem Growth Rate (a Quantity+Quality+Business total-score comparison between consecutive Global Startup Ecosystem Index editions) for Lima, queried directly from StartupBlink's leaderboard API for the 2023-2026 index editions.
- Historical annual growth (2023–2025)
- 11.1% / year
formula-derived · 2023-2025 · 2025 · ((end / start) ** (1 / years) - 1) * 100 · derived_from_aligned_source_geographies
Agent estimate, not a published projection -1.5% / year (2027-2028). Basis: Extrapolated from Lima's own real, sourced StartupBlink annual ecosystem-growth-rate figures (2023: -35.9%, 2024: -5.2%, 2025: 30.1%, 2026: 5.0%): averaged to -1.5%, then bounded to a -20.0%/+40.0% plausible sustained range, giving -1.5%/year. This is a flat estimate applied uniformly to 2027 and 2028, not a modeled year-by-year glide path. This is an unsourced estimate produced by an AI coding agent (Claude Code), not a published third-party projection. It is not investment, relocation, or professional advice, and should be weighted accordingly.
Percentile Index (vs. the 14 [RP] cities)
A pure 0-100 rescaling of the same Ecosystem Growth Rate total score shown above: 100 = the highest of the 14 [RP] intelligence-ready cities that year, 0 = the lowest. No reweighting, no new claim - purely a comparison aid.
Method and limits Percentile rank computed once per year among the cities with a real StartupBlink score that year (13 cities in 2023, since Da Nang has no 2023 index edition; 14 cities in 2024-2026, after Peru/Lima joined the intelligence-ready cohort in local:0.37.0 Slice G). Not estimated for 2027-2028.
Entry-Level AI-Position Market Lens
A best-effort re-reading of four already-public StartupBlink signals (total tracked startup funding, plus the Quality, Quantity, and Business Environment ecosystem subscores), each percentile-ranked before being weighted, aimed at a reader considering relocating for an entry-level AI-adjacent position rather than at investors or founders. Funding and company-maturity signals (Funding, Quality) are weighted higher than raw ecosystem activity (Quantity, Business Environment), since capital and company scale matter more to whether an entry-level role actually exists than how many small startups a city has.
Method and limits Revised methodology (superseding the original 50/30/20 raw-subscore weighting): each of four signals is first percentile-ranked independently among the 14 [RP] cities for that year, THEN averaged with weights - Funding level 35%, Quality 30%, Quantity 25%, Business Environment 10% - so no single input can dominate purely because its own raw scale happens to be larger. Funding and Quality (proxies for capital and company maturity, i.e. whether employers can plausibly afford a dedicated AI hire) are weighted higher than raw startup Quantity, which measures activity/community density but not hiring capacity - a large number of tiny, unfunded startups does not mean entry-level AI roles exist. This does NOT measure actual AI job openings, work-visa policy for tech roles, hiring language/experience requirements, or entry-level salary realism - StartupBlink does not publish labour-market data of that kind. Treat as a rough directional signal only - never as career, immigration, or professional advice.
StartupBlink Startup Funding (YoY)
- Metric
- startupblink_total_startup_funding_usd_yoy_momentum
- Description
- StartupBlink's own published total tracked startup-funding series for Lima (USD, from the Startup Funding chart on the city's live StartupBlink Ecosystem profile), with year-over-year momentum already computed by StartupBlink itself. 2023-2025 deal counts: 9, 4, 1.
- Historical annual growth (2023–2025)
- -87.0% / year
formula-derived · 2023-2025 · 2025 · ((end / start) ** (1 / years) - 1) * 100 · derived_from_aligned_source_geographies
Agent estimate, not a published projection 37.3% / year (2026-2028). Basis: Extrapolated from Lima's own real, sourced StartupBlink funding-momentum figures for 2023 (-89.6%), 2024 (301.2%), and 2025 (-99.6%): averaged to 37.3%, then bounded to a -20.0%/+40.0% plausible sustained range, giving 37.3%/year. Averaging smooths single-year deal-driven noise; the bound prevents an extreme single year from being extrapolated forward unchecked. This is a flat estimate applied uniformly to 2026, 2027, and 2028, not a modeled year-by-year glide path. This is an unsourced estimate produced by an AI coding agent (Claude Code), not a published third-party projection. It is not investment, relocation, or professional advice, and should be weighted accordingly.