Bogotá VS Chiang Mai

Cost of Living & Salary Comparison 2026

Bogotá
Colombia
22.9
COLI Index
#103
Global Rank
COP
Currency
Chiang Mai
Thailand
22.6
COLI Index
#104
Global Rank
THB
Currency

Key Differences

Cost of Living
22.9
22.6
1BR Rent (USD/mo)
$400
$350
Total Deductions
14.7%
7.7%
Exchange Rate
1 COP = 0.0075 THB
Is Bogotá cheaper than Chiang Mai?

Yes, Chiang Mai is 1% cheaper than Bogotá based on our cost of living index. Chiang Mai has a COLI of 22.6, while Bogotá has a COLI of 22.9. 1% cheaper

Key Takeaways: Bogotá vs Chiang Mai

Overall, Chiang Mai is approximately 1% cheaper than Bogotá based on our cost of living index. Bogotá has a COLI of 22.9 (ranked #103 of 182 cities), while Chiang Mai has a COLI of 22.6 (ranked #104).

When it comes to housing, one-bedroom apartment rent in Bogotá averages $400/month compared to $350/month in Chiang Mai. That makes Chiang Mai approximately 12% cheaper for rent alone.

Chiang Mai has lower total deductions (7.7%) compared to Bogotá (14.7%), meaning you keep more of your gross salary in Chiang Mai. When evaluating a relocation, remember that total deductions directly impact your take-home pay and should be weighed alongside cost of living differences.

Tax & Deductions Comparison

Full breakdown of mandatory payroll deductions for a mid-range salary as a local employee in each city.

Bogotá

Income Tax
7%
Health + Pension
8.0%
Total: 14.7%Take-Home: COP 60,898,254/yr

Chiang Mai

Income Tax
6%
Social Security
1.7%
Total: 7.7%Take-Home: ฿485,013/yr

Rates shown for local employees. Expat deductions may differ — use the main converter for personalized calculations.

Salary Equivalent

If you earn COP 311,746,988 in Bogotá, you would need approximately ฿2,293,928 in Chiang Mai to maintain the same purchasing power. That is 1% less thanks to lower cost of living.

Salary Comparison by Job Title

Estimated mid-level annual salaries in local currency, adjusted for each city's cost of living:

Job Title Bogotá (COP) Chiang Mai (THB)
Doctor (General) COP 171,336,145 ฿1,260,743
Software Engineer COP 80,908,735 ฿595,351
Product Manager COP 95,186,747 ฿700,413
Lawyer COP 95,186,747 ฿700,413
Data Scientist COP 90,427,410 ฿665,392
Marketing Manager COP 68,534,458 ฿504,297
Teacher COP 45,689,639 ฿336,198
Nurse COP 55,208,313 ฿406,239

Salary estimates are adjusted by each city's COLI relative to the New York baseline. Actual salaries vary by company, experience, and industry.

Neighborhoods

Bogotá (Top 5)

NeighborhoodMultiplier
Zona T (Zona Rosa)1.25x (+25%)
Usaquén1.22x (+22%)
Chicó1.20x (+20%)
Rosales1.18x (+18%)
Santa Bárbara1.15x (+15%)

Chiang Mai (Top 5)

NeighborhoodMultiplier
Nimmanhaemin1.22x (+22%)
Old City1.15x (+15%)
Tha Phae1.10x (+10%)
Chang Khlan (Night Bazaar)1.08x (+8%)
Santitham1.05x (+5%)

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Frequently Asked Questions

Is Bogotá or Chiang Mai more expensive?

Bogotá is more expensive overall. Bogotá has a COLI of 22.9 while Chiang Mai has a COLI of 22.6, making Chiang Mai approximately 1% cheaper.

What salary in Chiang Mai equals COP 311,746,988 in Bogotá?

To maintain the same standard of living as COP 311,746,988 in Bogotá, you would need approximately ฿2,293,928 in Chiang Mai.

Is rent cheaper in Bogotá or Chiang Mai?

Average one-bedroom rent in Bogotá is $400/month compared to $350/month in Chiang Mai. Chiang Mai has lower rent by approximately 12%.

Which city has lower taxes, Bogotá or Chiang Mai?

Chiang Mai has lower total deductions (7.7%) compared to Bogotá (14.7%), meaning you keep more of your gross salary in Chiang Mai.

Explore Each City

Data Sources & Methodology

Cost of living indices (COLI) are benchmarked to New York City = 100 and derived from Numbeo and Expatistan crowd-sourced price surveys, cross-referenced with national statistics agencies. Rent data from Numbeo Property Prices.

Salary ranges are compiled from the U.S. Bureau of Labor Statistics (OES), Glassdoor, and PayScale. Tax rates are approximate effective rates for mid-range earners based on OECD Taxing Wages and national tax authorities. Exchange rates from the European Central Bank. Neighborhood multipliers are estimated from local rental indices and property data.

Last updated: 2026-02-28. Data is refreshed periodically. All figures are estimates for informational purposes only.