Ensenada vs Mazatlán
Retiring in Mexico and choosing between Ensenada and Mazatlán? Here is how they compare, figure by figure. Rent, electricity and groceries for a couple: USD $743–$1,299 a month in Ensenada, USD $613–$1,259 in Mazatlán. Coolest to warmest quarter: 10.1–22.6°C in Ensenada, 20–27.2°C in Mazatlán. Mexico has a retirement residence route. Ensenada reaches the coast; Mazatlán reaches the coast. In the table below, Ensenada has the lower figure on "Minutes to a pharmacy, by road" and "Air quality (PM2.5)"; Mazatlán has the lower figure on "Residential electricity" and "Minutes to the nearest hospital in the national register, by road".
Sources: Rent, electricity and groceries · official sources, 2026-10-01 · CHELSA V2.1 bio10/bio11, 1981-2010 (~1 km), Karger et al., 2010 · Lineamientos Generales para la expedición de visas (SEGOB/SRE), DOF 25 Jul 2025 — copy published by the Consulate of Mexico in Houston, 2026-09-26
Cost of living, safety, healthcare & climate: Ensenada vs Mazatlán
| Measure | EnsenadaBaja California | MazatlánSinaloa |
|---|---|---|
| Monthly cost | ||
| Rent, power & groceries / month (couple) | USD $743–$1,299 Rent, electricity and groceries · official sources · as of 2026-10-01–2026-10-07 · see the breakdown | USD $613–$1,259 Rent, electricity and groceries · official sources · as of 2026-10-01–2026-10-07 · see the breakdown |
| Housing | ||
| Rent One rent figure per town — asking where we have it, otherwise rent paid. Open "Which figure" for the method, the home it describes, and any other rent we hold. A "lowest" shows only when every town's figure is the same measurement. |
USD $1,005 ($635–$1,190) per month · 2-bed apartment
Asking rent
MXN $19,000 ($12,000–$22,500) per month · European Central Bank, euro foreign exchange reference rates, 2026-10-30
Listings harvested 2026-10-01 · N=41 two-bedroom apartments inside the town's footprint on icasas.mx passed the method (40 stated furnished, 0 stated a short let, 0 offered for sale were dropped) · 10 of them priced in US dollars and shown in pesos by the portal at its own rate
icasas.mx rental listings, harvested by ExpatAlmanac · figure for 2026
Listings sample
Which figure, and the others we holdAsking rent — what landlords are listing for 2-bed apartment Asking rent (listings) · 10th–75th percentile, median shown
Asking rent — what landlords are listing for
2-bed house USD $1,015 ($555–$1,759) per month · 2-bed house
MXN $19,195 ($10,500–$33,250) per month · European Central Bank, euro foreign exchange reference rates, 2026-10-30
Asking rent (listings) · 10th–75th percentile, median shown
Listings harvested 2026-10-01 · N=18 two-bedroom houses inside the town's footprint on icasas.mx passed the method (13 stated furnished, 3 stated a short let, 0 offered for sale were dropped) · 9 of them priced in US dollars and shown in pesos by the portal at its own rate · fewer than 30 listings, so the band is widened by a resampling estimate of its own noise icasas.mx rental listings, harvested by ExpatAlmanac · figure for 2026
Listings sample
Rent paid
no data
No figure held for this town
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USD $820 ($518–$1,164) per month · 2-bed apartment
Lowest Asking rent
MXN $15,500 ($9,800–$22,000) per month · European Central Bank, euro foreign exchange reference rates, 2026-10-30
Listings harvested 2026-10-01 · N=112 two-bedroom apartments inside the town's footprint on icasas.mx passed the method (248 stated furnished, 11 stated a short let, 0 offered for sale were dropped)
icasas.mx rental listings, harvested by ExpatAlmanac · figure for 2026
Listings sample
Which figure, and the others we holdAsking rent — what landlords are listing for 2-bed apartment Asking rent (listings) · 10th–75th percentile, median shown
Asking rent — what landlords are listing for
2-bed house USD $793 ($476–$1,402) per month · 2-bed house
MXN $15,000 ($9,000–$26,500) per month · European Central Bank, euro foreign exchange reference rates, 2026-10-30
Asking rent (listings) · 10th–75th percentile, median shown
Listings harvested 2026-10-01 · N=25 two-bedroom houses inside the town's footprint on icasas.mx passed the method (16 stated furnished, 0 stated a short let, 0 offered for sale were dropped) · fewer than 30 listings, so the band is widened by a resampling estimate of its own noise icasas.mx rental listings, harvested by ExpatAlmanac · figure for 2026
Listings sample
Rent paid
no data
No figure held for this town
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| Running cost | ||
Residential electricity
A monthly electricity bill at a fixed 250 kWh under the town's CFE tariff, tax included.How this is measuredResidential electricity from CFE (Comisión Federal de Electricidad), the monthly bill at a REFERENCE consumption of 250 kWh/month (IVA included) under each town's assigned CFE tariff (1, 1A–1F or DAC, by climate zone), in MXN. A per-town figure — Mexican towns are comparable among themselves. The reference level is a fixed comparison level, NOT a claim about what a household uses. |
USD $0.15 / kWh MXN $2.88 / kWh · European Central Bank, euro foreign exchange reference rates, 2026-10-30 CFE — tarifa doméstica 1 (CFE's tariff rule on SMN station 2108 (18 km), summers 2021–2026; not confirmed on a CFE bill), recibo de 250 kWh/mes (IVA incluido) · figure for 2026 Official source | USD $0.10 / kWh LowestMXN $1.85 / kWh · European Central Bank, euro foreign exchange reference rates, 2026-10-30 CFE — tarifa doméstica 1C (CFE's tariff rule on SMN station 25062, summers 2019–2023; not confirmed on a CFE bill), recibo de 250 kWh/mes (IVA incluido) · figure for 2026 Official source |
| Climate · never ranked | ||
Temperature
Average temperature of the coldest and of the warmest three months of the year, 1981–2010.How this is measuredMean air temperature of the coldest and the warmest QUARTER, from CHELSA V2.1 bioclimatic variables bio11 and bio10 over the 1981-2010 climatology, at 30 arcsec (~1 km), averaged over the town's own stored footprint polygon. The low figure is the coldest-quarter mean and the high figure is the warmest-quarter mean: TWO named measures, not a range, so neither may ever be ranked. Two caveats travel with every figure: these are MODELED climatologies rather than a station record at the town, and the figure describes the FOOTPRINT, so a large municipio spanning a coast and a sierra reports a wider pair than the town center experiences. |
10.1–22.6°C (50–73°F) CHELSA V2.1 bio10/bio11, 1981-2010 (~1 km), Karger et al. · figure for 2010 Official source | 20–27.2°C (68–81°F) CHELSA V2.1 bio10/bio11, 1981-2010 (~1 km), Karger et al. · figure for 2010 Official source |
Rainfall
Total rain in the driest and in the wettest three months of the year, 1981–2010 average.How this is measuredTotal precipitation in the driest and the wettest QUARTER, from CHELSA V2.1 bioclimatic variables bio17 and bio16 over the 1981-2010 climatology, at 30 arcsec (~1 km), averaged over the town's own stored footprint polygon. The low figure is the driest-quarter total and the high figure is the wettest-quarter total: TWO named measures, not a range, so neither may be ranked. Two caveats travel with every figure: these are MODELED climatologies rather than a gauge record at the town, and the figure describes the FOOTPRINT, so a large municipio spanning a coast and a sierra reports a wider pair than the town center receives. |
14.7–157.8 mm CHELSA V2.1 bio16/bio17, 1981-2010 (~1 km), Karger et al. · figure for 2010 Official source | 12.6–675.4 mm CHELSA V2.1 bio16/bio17, 1981-2010 (~1 km), Karger et al. · figure for 2010 Official source |
Humidity
Average relative humidity in the least humid and the most humid month, 1981–2010.How this is measuredMean near-surface relative humidity in the least humid and the most humid MONTH, from the twelve CHELSA V2.1 hurs climatologies over 1981-2010, at 30 arcsec (~1 km), averaged over the town's own stored footprint polygon. The low figure is the least humid month and the high figure is the most humid month: TWO named measures, not a range. Note the window differs from the rainfall and temperature axes, which use a QUARTER - a month is more extreme at both ends, so these figures are not interchangeable with a quarterly one. Modeled climatologies, not a station record, and measured over the footprint rather than the town center. |
47.5–52 % CHELSA V2.1 hurs, 1981-2010 monthly (~1 km), Karger et al. · figure for 2010 Official source | 55.2–69.5 % CHELSA V2.1 hurs, 1981-2010 monthly (~1 km), Karger et al. · figure for 2010 Official source |
| Safety | ||
| Homicide (municipality figure) |
40.6 per 100,000 a year
Ensenada municipality figure
How we know this95% interval 38.0–43.3 · 2020–2024. 19% of the 1,168 homicides that occurred here have no recorded residence, so they are not in this count. Higher than 83% of the 1,138 Mexican municipalities with 10 or more in 2020–2024, ranked by where the deaths occurred. Registered deaths of residents whose underlying cause is assault (ICD-10 X85–Y09 and Y87.1), pooled 2020–2024 · INEGI, Estadísticas de Defunciones Registradas (EDR), microdatos 2020–2024, by municipio of residence · population: CONAPO, Población a mitad de año por municipio (pry23), 2020–2024 · read 2026-09-24 |
11.5 per 100,000 a year
Mazatlán municipality figure
How we know this95% interval 10.2–12.9 · 2020–2024. 16% of the 341 homicides that occurred here have no recorded residence, so they are not in this count. Higher than 30% of the 1,138 Mexican municipalities with 10 or more in 2020–2024, ranked by where the deaths occurred. Registered deaths of residents whose underlying cause is assault (ICD-10 X85–Y09 and Y87.1), pooled 2020–2024 · INEGI, Estadísticas de Defunciones Registradas (EDR), microdatos 2020–2024, by municipio of residence · population: CONAPO, Población a mitad de año por municipio (pry23), 2020–2024 · read 2026-09-24 |
| Getting care | ||
Minutes to a pharmacy, by road
Drive time by road to the nearest pharmacy, searched within 30 km.How this is measuredDrive time by road to the nearest pharmacy mapped on OpenStreetMap, searched within 30 km — a weekly errand, so a shorter radius than the hospital measure, on purpose. The route starts at the town's own map point (for a US county, the US Census Bureau's internal point of the named town) and follows OpenStreetMap roads (OSRM, driving profile), measured 2026-09-23. The 12 nearest pharmacies in a straight line are routed and the shortest drive wins, ties broken by road distance, so a re-run gives the same answer. A pharmacy more than 2 km from any road is set aside rather than routed to the wrong place. A town with no pharmacy within 30 km carries no figure; the radius is never widened for one town. Source: OpenStreetMap contributors (ODbL), via Geofabrik regional extracts. |
1.7 min LowestNearest: Farmacias Roma (OpenStreetMap node/12921202856), 1.08 km by road. OpenStreetMap contributors (ODbL), routed with OSRM · figure for 2026 Open dataset | 3.1 min Nearest: Farmacias del Ahorro (OpenStreetMap node/11848885549), 1.29 km by road. OpenStreetMap contributors (ODbL), routed with OSRM · figure for 2026 Open dataset |
Minutes to the nearest hospital in the national register, by road
Drive time by road to the nearest general hospital in Mexico's health-facility register — in practice, public hospitals.How this is measuredDrive time by road to the nearest general hospital in Mexico's CLUES register (Secretaría de Salud, DGIS, August 2026): establishments it lists as in-patient and operating whose type is a general hospital (general, de zona, de subzona, regional, integral/comunitario, rural, clínica hospital). In practice public hospitals only: CLUES gives no type for most private hospitals, so they are not counted. The route starts at the town's own map point (for a US county, the US Census Bureau's internal point of the named town) and follows OpenStreetMap roads (OSRM, driving profile), measured 2026-09-25. The 12 closest listed destinations within 60 km in a straight line are routed and the shortest drive wins, ties broken by road distance, so a re-run gives the same answer. A destination more than 2 km from any road, a route implying a speed under 5 or over 130 km/h, or a route shorter than the straight line is set aside as a mapping error. The 60 km radius is never widened for one town. Each country's own register decides which hospitals count, so this figure is most reliable when it compares towns in the same country. |
3.2 min Nearest: HGZMF 8 ENSENADA (CLUES:BCIMS000011), 1.88 km by road. CLUES, Secretaría de Salud (DGIS), August 2026; public general hospitals only; routed over OpenStreetMap (ODbL) with OSRM · figure for 2026 Open dataset | 2.7 min LowestNearest: MAZATLAN (CLUES:SLIST000196), 1.33 km by road. CLUES, Secretaría de Salud (DGIS), August 2026; public general hospitals only; routed over OpenStreetMap (ODbL) with OSRM · figure for 2026 Open dataset |
| The country · the same for every town in it, never ranked | ||
Electricity (reference bill)A monthly electricity bill at a fixed 250 kWh under the town's CFE tariff, tax included.How this is measuredResidential electricity from CFE (Comisión Federal de Electricidad), the monthly bill at a REFERENCE consumption of 250 kWh/month (IVA included) under each town's assigned CFE tariff (1, 1A–1F or DAC, by climate zone), in MXN. A per-town figure — Mexican towns are comparable among themselves. The reference level is a fixed comparison level, NOT a claim about what a household uses. |
USD $38 / month
MXN $721 / month · European Central Bank, euro foreign exchange reference rates, 2026-10-30
Ensenada · town figure
CFE — tarifa doméstica 1 (CFE's tariff rule on SMN station 2108 (18 km), summers 2021–2026; not confirmed on a CFE bill), recibo de 250 kWh/mes (IVA incluido) · checked Oct 7, 2026
|
USD $25 / month
MXN $464 / month · European Central Bank, euro foreign exchange reference rates, 2026-10-30
Mazatlán · town figure
CFE — tarifa doméstica 1C (CFE's tariff rule on SMN station 25062, summers 2019–2023; not confirmed on a CFE bill), recibo de 250 kWh/mes (IVA incluido) · checked Oct 7, 2026
|
| The place itself | ||
Elevation range
The lowest and highest ground in the town's area, from a satellite elevation model.How this is measuredGround elevation from the Copernicus DEM GLO-30 (~30 m, EPSG:4326, ESA/Copernicus, 2021 release), computed over the town's own stored footprint polygon. Low and high are the minimum and maximum cell values inside that polygon. Two caveats travel with every figure: the figure describes the FOOTPRINT, not the town center, so a municipio-level footprint reads higher than a published town elevation wherever the surrounding land rises; and GLO-30 is a surface model, so dense canopy or buildings can lift the maximum a few meters above bare ground. |
-3–2,929 m Copernicus DEM GLO-30 (~30 m), ESA / Copernicus · figure for 2021 Official source | -4–2,516 m Copernicus DEM GLO-30 (~30 m), ESA / Copernicus · figure for 2021 Official source |
Steepness
How steep the ground is across the town's area (10th to 90th percentile slope), from a satellite elevation model.How this is measuredGround slope from the Copernicus DEM GLO-30 (~30 m, EPSG:4326, ESA/Copernicus, 2021 release), computed over the town's own stored footprint polygon. Low and high are the 10th and 90th percentiles of per-cell slope inside that polygon — not the minimum and maximum, because over any real footprint the minimum is 0° and the maximum is a single cliff cell. THE BASELINE IS PART OF THE MEASUREMENT: the elevation grid is averaged to a ~90 m post before differencing, and a figure taken over a different baseline is a different measurement. Three caveats travel with every figure: it describes the FOOTPRINT, so a municipio-level footprint takes in surrounding hills the town itself is not built on; GLO-30 is a SURFACE model, so canopy and buildings are in it; and the DEM's own vertical noise puts a floor of roughly 0.5° under the figure on near-level ground, which is artefact rather than terrain. The floor shifts every town's figure in the same direction and does not reorder them — a flat town measures about a quarter of a gently rolling one at every baseline tested. |
1.33–23.09 degrees Copernicus DEM GLO-30 (~30 m), ESA / Copernicus — slope over a ~90 m baseline · figure for 2021 Official source | 0.49–19.65 degrees Copernicus DEM GLO-30 (~30 m), ESA / Copernicus — slope over a ~90 m baseline · figure for 2021 Official source |
People in this area
How many people live inside the town's area, estimated the same way in every country from satellite and census data.How this is measuredResident population inside the town's own stored footprint polygon, from GHS-POP E2020 R2023A (~100 m, EPSG:4326, European Commission JRC). MODELED, NOT COUNTED: GHS-POP distributes national census counts across the built-up surface detected from satellite imagery, so it is an estimate of how many people live inside a shape, never a head count. What it buys in exchange is that it is computed identically in every country, which no census is — two national censuses share a definition only by coincidence. Cells on the boundary are weighted by the fraction of each one inside the polygon, so a small footprint is not rounded up or down by its own edge. THE FIGURE DESCRIBES THE FOOTPRINT, and for a town whose footprint is a settlement rather than a municipality that is a much smaller area than the one an official population refers to — which is the point of publishing it. Checked against the stored census figure for all 63 towns that carry one: the median difference is 5.5% for a municipality footprint and 8.7% for a municipio, and 57.6% for a settlement, where the two figures are correctly describing different places. |
438299 people GHS-POP E2020 R2023A (~100 m), European Commission JRC — modelled, summed over the town footprint · figure for 2020 Official source | 473957 people GHS-POP E2020 R2023A (~100 m), European Commission JRC — modelled, summed over the town footprint · figure for 2020 Official source |
Distance to the sea
The shortest distance from the town's area to the sea; lakes and rivers do not count.How this is measuredShortest distance from any point of the town's own stored footprint polygon to the ocean shoreline, measured geodesically. The shoreline is OpenStreetMap's natural=coastline, which is mean high water; LAKES AND RIVERS ARE EXCLUDED, so a town on a lakeshore carries its distance to the sea rather than zero. THE FIGURE DESCRIBES THE FOOTPRINT, not the town center: a municipio whose boundary reaches the coast reads a smaller number than its built-up area would, and a municipio whose center is coastal but whose boundary is not reads zero. Zero means the footprint touches the shoreline. The nearest candidate is found in a local equirectangular frame and the winning pair of points is then re-measured with the haversine formula, so the published figure does not carry the projection's error. Nearer the sea is neither better nor worse — it is beach, humidity, salt and storm exposure together — so no figure on this axis is ever ranked. |
reaches the coast OpenStreetMap coastline (natural=coastline), ODbL 1.0 — geodesic distance from the town footprint · figure for 2026 Open dataset | reaches the coast OpenStreetMap coastline (natural=coastline), ODbL 1.0 — geodesic distance from the town footprint · figure for 2026 Open dataset |
Kind of place
Whether the town is a city, a town or suburb, or rural, on the international Degree of Urbanisation standard — judged by where its people live.How this is measuredWhat kind of place the town is — City, Town or suburb, or Rural — on the Degree of Urbanisation (DEGURBA) standard, from GHS-SMOD E2020 R2023A (~1 km, European Commission JRC). THE PLACE IS CLASSED BY WHERE ITS PEOPLE LIVE, NOT WHERE ITS LAND IS: every ~100 m population cell inside the town's own footprint is charged to the settlement class it falls inside, and the class holding the majority of the footprint's population is the answer. That is why a large municipio containing a city reads City rather than Rural. WHERE NO CLASS HOLDS A MAJORITY THE TOWN CARRIES NO FIGURE AT ALL, because a single word that is untrue of most of the people it describes is worse than a blank; three of the 74 towns are genuinely mixed in this way. THE FIGURE DESCRIBES THE FOOTPRINT, so a municipio whose historic center is a town but whose surrounding population is rural can read Rural — the area being measured is stated beside the figure for exactly this reason. Both the settlement grid and the population weighting are modeled from satellite imagery and census disaggregation, not surveyed. No class is better than another, so nothing on this axis is ever ranked. |
City GHS-SMOD E2020 R2023A (degree of urbanisation), European Commission JRC — population-weighted over the town footprint · figure for 2020 Official source | City GHS-SMOD E2020 R2023A (degree of urbanisation), European Commission JRC — population-weighted over the town footprint · figure for 2020 Official source |
Air quality (PM2.5)
Yearly average fine-particle air pollution (PM2.5) in 2024, modeled from satellite data and weighted to where people live in the town.How this is measuredAnnual mean fine particulate matter (PM2.5) for 2024, in micrograms per cubic meter, from SatPM2.5 V6.GL.03 (~1 km, Atmospheric Composition Analysis Group, Washington University in St. Louis). MODELED, NOT MEASURED AT THE TOWN: satellite aerosol optical depth from MODIS, VIIRS, MISR and SeaWiFS is combined with a GEOS-Chem chemical-transport simulation and calibrated against ground monitors. There is no monitor in most of these towns, which is why a global model is the only way to compare them at all — and why this figure is comparable across a border where two national monitoring networks would not be. THE FIGURE IS POPULATION-WEIGHTED OVER THE TOWN'S OWN FOOTPRINT, not a plain average of the area: people are concentrated where the air is worst, so an areal mean would flatter any municipio that contains a city. Measured on this data, the two differ by about a fifth for a municipio containing a city and not at all for a settlement footprint. FOR SCALE, AND IT IS A PUBLISHED RULE RATHER THAN OUR JUDGEMENT: the World Health Organization's 2021 air quality guideline for annual mean PM2.5 is 5 micrograms per cubic meter, and its interim targets are 35, 25, 15 and 10. Cleaner air is better without qualification, so unlike the other figures measured over the footprint this one is ranked. |
7.4 µg/m³ Lowest SatPM2.5 V6.GL.03 (~1 km), ACAG / Washington University in St. Louis - 2024 annual mean, population-weighted · figure for 2024 Official source | 11.1 µg/m³ SatPM2.5 V6.GL.03 (~1 km), ACAG / Washington University in St. Louis - 2024 annual mean, population-weighted · figure for 2024 Official source |
| Getting there | ||
| Getting there | TIJ Drive to TIJ: 1h 36m Nearest listed destination: Los Angeles 205 km / 128 mi · ~1h est. flight Drive measured by road (OurAirports (public domain) and OpenStreetMap contributors (ODbL), routed with OSRM) · flight a straight line · OurAirports (public domain dataset) · 2026-08-14 | MZT Drive to MZT: 27 min Nearest listed destination: Houston 1,324 km / 823 mi · ~2h 30m est. flight Drive measured by road (OurAirports (public domain) and OpenStreetMap contributors (ODbL), routed with OSRM) · flight a straight line · OurAirports (public domain dataset) · 2026-08-14 |
Official data is dated; curated figures are labeled estimates. Not forecasts — verify current figures locally.
Cite this
Source: ExpatAlmanac, "Comparison: Ensenada vs Mazatlán", https://expatalmanac.com/compare/towns/mx-ensenada-vs-mx-mazatlan, figures as of 2010; original data: icasas.mx rental listings, harvested by ExpatAlmanac; CFE — tarifa doméstica 1 (CFE's tariff rule on SMN station 2108 (18 km), summers 2021–2026; not confirmed on a CFE bill), recibo de 250 kWh/mes (IVA incluido); CFE — tarifa doméstica 1C (CFE's tariff rule on SMN station 25062, summers 2019–2023; not confirmed on a CFE bill), recibo de 250 kWh/mes (IVA incluido); CHELSA V2.1 bio10/bio11, 1981-2010 (~1 km), Karger et al.; CHELSA V2.1 bio16/bio17, 1981-2010 (~1 km), Karger et al.; CHELSA V2.1 hurs, 1981-2010 monthly (~1 km), Karger et al.; OpenStreetMap contributors (ODbL), routed with OSRM; CLUES, Secretaría de Salud (DGIS), August 2026; public general hospitals only; routed over OpenStreetMap (ODbL) with OSRM; Copernicus DEM GLO-30 (~30 m), ESA / Copernicus; Copernicus DEM GLO-30 (~30 m), ESA / Copernicus — slope over a ~90 m baseline; GHS-POP E2020 R2023A (~100 m), European Commission JRC — modelled, summed over the town footprint; OpenStreetMap coastline (natural=coastline), ODbL 1.0 — geodesic distance from the town footprint; GHS-SMOD E2020 R2023A (degree of urbanisation), European Commission JRC — population-weighted over the town footprint; SatPM2.5 V6.GL.03 (~1 km), ACAG / Washington University in St. Louis - 2024 annual mean, population-weighted.
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