Mundevo
City comparison·Peru flagArequipavsPeru flagLima

Arequipa vs Lima: cost, size & quality of life compared

Arequipa (composite 6.0) vs Lima (composite 5.6). Side-by-side on cost of living, population & size, affordability, quality of life, remote-work friendliness and healthcare — with the calculation behind each score.

Composite scores

Overall: Arequipa wins by 0.4 points

Arequipa composite
6.0 / 10
good
Lima composite
5.6 / 10
fair

Population & size

Is Arequipa bigger than Lima?

Lima is the bigger city: about 9.6M people versus Arequipa's 1.1M — roughly 8.7× larger.

Arequipa population
1.1M
1,100,000
Lima population
9.6M
9,600,000

City-proper / metro population estimates. Size is one input — scroll on for cost of living, salary equivalence and quality-of-life scoring.

Analyst take

Arequipa edges out Lima on the Mundevo composite, 6.0 to 5.6 out of 10 — a narrow 0.4-point margin across safety, healthcare, air quality and cost.

The composite gap is small enough that one weighted axis can flip the result. Use the per-axis breakdown below to see which city wins your specific priorities — someone optimizing for healthcare can land on a different answer than someone optimizing for affordability.

What to do

Run the salary calculator for both cities at your target lifestyle before deciding — Arequipa winning on quality doesn't mean the gross-salary requirement also lands in your favor. If you're on a balanced tier, the cost-of-living pages for each city carry the full monthly basket and the gross-salary figure.

Data signals

What separates Arequipa and Lima

  • How decisive

    Arequipa comes out ahead by 0.4 composite points — a narrow edge.

  • Biggest difference

    The widest gap is quality of life, where Arequipa leads by 1.2 points.

  • Where they match

    They're most evenly matched on healthcare — within 0.0 points of each other.

  • Overall cost gap

    Total monthly costs in Lima run about 41% higher than in Arequipa.

  • Where budgets split most

    Housing is the line item that diverges most: roughly 64% pricier in Lima than Arequipa.

Score-by-score, side-by-side

Each axis is scored independently with disclosed weights and a calculation string.

AxisArequipaLimaWinner
Affordability7.77.2Arequipa +0.5
Quality of life5.44.2Arequipa +1.2
Remote-work friendliness5.45.4Arequipa +0.0
Healthcare5.65.6Arequipa +0.0
Score card · Arequipa
6.0/ 10 compositegood

Each axis is a weighted aggregate of underlying indicators normalized to a 0–10 scale. Weights are explicit and disclosed per axis. The composite is the unweighted mean of the four axes — axes are not collapsed further because the underlying trade-offs (e.g. low cost vs poor air quality) are user-dependent.

Affordability

7.7good
  • Cost-of-living index (weight 60%)32
  • Rent index (weight 40%)10
How this is calculated

Affordability = ((100 − costIndex)/100 × 0.6 + (100 − rentIndex)/100 × 0.4) × 10. For Arequipa: ((100 − 32)/100 × 0.6 + (100 − 10)/100 × 0.4) × 10 = 7.7.

Arequipa sits well below the New York baseline on both cost-of-living and rent. Budgets stretch further here than in benchmark Tier-1 cities.

Quality of life

5.4fair
  • Safety index (weight 40%)45
  • Healthcare index (weight 35%)55
  • Air quality index (weight 25%)65
How this is calculated

QoL = (safety/100 × 0.4 + healthcare/100 × 0.35 + airQuality/100 × 0.25) × 10. For Arequipa: (45/100 × 0.4 + 55/100 × 0.35 + 65/100 × 0.25) × 10 = 5.4.

Arequipa has a mixed quality profile. Safety: fair; healthcare: good; air: good. Weigh the weakest axis against your personal priorities.

Remote-work friendliness

5.4fair
  • Internet (median Mbps) (weight 45%)70 Mbps
  • Effective income tax (lower = better) (weight 30%)12.0%
  • Cost-of-living (lower = better) (weight 25%)32
How this is calculated

RemoteWork = (min(Mbps/300, 1) × 0.45 + (1 − incomeTax) × 0.3 + (100 − costIndex)/100 × 0.25) × 10. For Arequipa: (min(70/300, 1) × 0.45 + (1 − 0.12) × 0.3 + (100 − 32)/100 × 0.25) × 10 = 5.4.

Arequipa works for remote work but isn't optimized for it: internet 70 Mbps, income tax 12%, cost index 32.

Healthcare

5.6fair
  • Healthcare quality index (weight 70%)55
  • Healthcare out-of-pocket / month (lower = better) (weight 30%)200
How this is calculated

Healthcare = (qualityIndex/100 × 0.7 + max(0, 1 − OOP/500) × 0.3) × 10. For Arequipa: (55/100 × 0.7 + max(0, 1 − 200/500) × 0.3) × 10 = 5.6.

Arequipa has trade-offs in healthcare: quality is good, typical out-of-pocket cost is ~200 PEN/month. Cross-border insurance closes the gap.

Score card · Lima
5.6/ 10 compositefair

Each axis is a weighted aggregate of underlying indicators normalized to a 0–10 scale. Weights are explicit and disclosed per axis. The composite is the unweighted mean of the four axes — axes are not collapsed further because the underlying trade-offs (e.g. low cost vs poor air quality) are user-dependent.

Affordability

7.2good
  • Cost-of-living index (weight 60%)36
  • Rent index (weight 40%)16
How this is calculated

Affordability = ((100 − costIndex)/100 × 0.6 + (100 − rentIndex)/100 × 0.4) × 10. For Lima: ((100 − 36)/100 × 0.6 + (100 − 16)/100 × 0.4) × 10 = 7.2.

Lima sits well below the New York baseline on both cost-of-living and rent. Budgets stretch further here than in benchmark Tier-1 cities.

Quality of life

4.2fair
  • Safety index (weight 40%)30
  • Healthcare index (weight 35%)58
  • Air quality index (weight 25%)40
How this is calculated

QoL = (safety/100 × 0.4 + healthcare/100 × 0.35 + airQuality/100 × 0.25) × 10. For Lima: (30/100 × 0.4 + 58/100 × 0.35 + 40/100 × 0.25) × 10 = 4.2.

Lima has a mixed quality profile. Safety: fair; healthcare: good; air: fair. Weigh the weakest axis against your personal priorities.

Remote-work friendliness

5.4fair
  • Internet (median Mbps) (weight 45%)80 Mbps
  • Effective income tax (lower = better) (weight 30%)12.0%
  • Cost-of-living (lower = better) (weight 25%)36
How this is calculated

RemoteWork = (min(Mbps/300, 1) × 0.45 + (1 − incomeTax) × 0.3 + (100 − costIndex)/100 × 0.25) × 10. For Lima: (min(80/300, 1) × 0.45 + (1 − 0.12) × 0.3 + (100 − 36)/100 × 0.25) × 10 = 5.4.

Lima works for remote work but isn't optimized for it: internet 80 Mbps, income tax 12%, cost index 36.

Healthcare

5.6fair
  • Healthcare quality index (weight 70%)58
  • Healthcare out-of-pocket / month (lower = better) (weight 30%)250
How this is calculated

Healthcare = (qualityIndex/100 × 0.7 + max(0, 1 − OOP/500) × 0.3) × 10. For Lima: (58/100 × 0.7 + max(0, 1 − 250/500) × 0.3) × 10 = 5.6.

Lima has trade-offs in healthcare: quality is good, typical out-of-pocket cost is ~250 PEN/month. Cross-border insurance closes the gap.

Monthly cost delta: Arequipa vs Lima

Normalized to PEN at 1 PEN = 1.0000 PEN.

CategoryArequipaLimaChange
housingPEN 1,100PEN 1,800+64%
foodPEN 700PEN 850+21%
transportPEN 100PEN 120+20%
utilitiesPEN 240PEN 320+33%
leisurePEN 600PEN 800+33%
healthcarePEN 200PEN 250+25%

Where each city's money goes

Two cities can have the same monthly total but very different shapes — one might burn 50% on housing while the other splits more evenly. The composition matters as much as the headline.

Arequipa37% housing
Lima43% housing
housing
food
transport
utilities
leisure
healthcare

The biggest shape difference is housing: Lima spends 6.1 percentage points more of its budget on it (43% vs. 37%). If you're sensitive to that category, weight the per-axis scores accordingly.

Salary equivalence: Arequipa ↔ Lima

What earning the same purchasing power costs in each city. Cost-adjusted using the local cost-of-living index (Arequipa = 32, Lima = 36); currency-converted at 1 PEN = 1.0000 PEN. Tax differences are not modeled.

Earning in Arequipa, moving to Lima
PEN → equivalent PEN
Arequipa grossLima equivalent
PEN 40,000PEN 45,000
PEN 75,000PEN 84,375
PEN 120,000PEN 135,000
Earning in Lima, moving to Arequipa
PEN → equivalent PEN
Lima grossArequipa equivalent
PEN 40,000PEN 35,556
PEN 75,000PEN 66,667
PEN 120,000PEN 106,667

Equivalence here means same cost-of-living purchasing power, not same net take-home. Effective tax rates differ between countries; a salary equivalent on cost can still net more or less depending on the destination's tax regime. Use the calculator for tax-adjusted figures at a specific lifestyle tier.

Pros and cons

Why pick Arequipa

  • Wins on affordability (+0.5 points vs Lima).
  • Wins on quality of life (+1.2 points vs Lima).

Why pick Lima

Lima doesn't have any standout advantages of ≥0.3 points on the scoring model.

Arequipa trade-offs

No material trade-offs versus Lima on the scored axes.

Lima trade-offs

  • Trails Arequipa on affordability by 0.5 points.
  • Trails Arequipa on quality of life by 1.2 points.

Who should choose which

The composite winner doesn't always match what matters to you. These four reader profiles weigh the axes differently — find the closest fit.

Young remote pro

Single, salaried remote worker, 25-40, optimizing for runway + bandwidth.

Best fit
Arequipa by 0.3 points
Arequipa6.6/10
Lima6.3/10

Axes scored: affordability, remoteWork

Family with kids

Couple with school-age children, prioritizing safety, healthcare, and air quality.

Best fit
Arequipa by 0.6 points
Arequipa5.5/10
Lima4.9/10

Axes scored: qualityOfLife, healthcare

Retiree

Fixed income, healthcare-sensitive, prefers low cost and stable infrastructure.

Best fit
Arequipa by 0.6 points
Arequipa6.2/10
Lima5.7/10

Axes scored: healthcare, qualityOfLife, affordability

Cost-conscious mover

Salary stretch matters most. Cuts everything else if it lowers the burn rate.

Best fit
Arequipa by 0.5 points
Arequipa7.7/10
Lima7.2/10

Axes scored: affordability

Profiles use simple axis averaging — for a deeper read with your own weights, use the per-axis breakdown above.

Tools that work for either choice

Some links below are affiliate links — if you sign up we may earn a small commission, at no extra cost to you.

Methodology

How this page is calculated

Data sources

  • Mundevo per-city dataset. Cost basket, rent index, safety, healthcare, air quality and median internet for both cities. Reference date: 2026-06-10 (Arequipa) and 2026-06-10 (Lima).
  • FX rate. 1 PEN = 1.0000 PEN, used to normalize cost baskets.
  • CityScoreCalculator. Four axes (Affordability, Quality of life, Remote work, Healthcare) computed with explicit weights and explanations. See per-axis calculation strings rendered on this page.
  • ComparisonService. Per-category cost deltas (housing, food, transport, utilities, leisure, healthcare) normalized to the origin currency.

Update cadence

Data as of . Last reviewed .

Calculation

For each of the four axes we compute an independent 0–10 score using the formulas printed beside each axis. The composite is the unweighted mean of the four axes. The overall winner is the city with the higher composite, unless the margin is under 0.05 points — in which case Arequipa is shown first as a tiebreaker to keep results stable.

Limitations

  • Climate is not scored — we don't yet hold a maintained climate dataset, so weather-driven preferences are not modeled.
  • Tax differences between cities in the same country are not modeled (Spain and Germany don't have material regional differences for this dataset).
  • Indices are population-level. Personal cost varies with neighborhood, employer benefits and family status.
  • Quality-of-life axis weights (safety 0.4 / healthcare 0.35 / air 0.25) are editorial defaults — readers with strong preferences should re-weight manually.

Frequently asked questions

Arequipa vs Lima: which is cheaper?

Arequipa is roughly 41% cheaper than Lima on the monthly cost basket (housing, food, transport, utilities, healthcare). Arequipa has cost index 32 vs Lima at 36 (both with New York = 100).

Which city has better quality of life?

Arequipa scores 6.0/10 on the Mundevo composite versus Lima at 5.6/10. The composite weights safety (40%), healthcare (35%) and air quality (25%). Arequipa wins overall by 0.4 points.

Is Arequipa or Lima better for remote work?

Arequipa has 70 Mbps median internet vs Lima at 80 Mbps. The four-axis decision rubric on this page (affordability, quality of life, remote work, healthcare) gives a per-dimension breakdown rather than a single answer.

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