Calama
Compare Calama with another placeWhere it stands out
Indicators with the most extreme rank among territories at its level.Average monthly pay
Where the people here are from
Casen 2024 · 3,084 surveyedFormal employment, 2005–2024
2005–2024 · Source SIIThe ten branches that employ most of Calama
Ranked by headcount in the latest year; the line is each branch's own twenty-year shape, on its own scale.
Dependent workers, projected
Prophet, fitted on the twenty observed years. A projection is not a figure of PuroChile.
Annual sales in UF, projected
UF is indexed to inflation, so this is a projection in real terms.
What Calama is specialised in
2024 · SIIOf the 672 activities the tax register files firms under, Calama employs more people in 102 of them than Chile does, proportionally. That comparison is Balassa's revealed comparative advantage: this place's share of an activity, over the country's share of it. Above one, the activity is over-represented here.
Most over-represented in Calama
Ranked by how many times the national share this place reaches. The division each activity belongs to is a page of its own.
| Activity | Division | Workers here | Times the national share |
|---|---|---|---|
| Industrias básicas de hierro y acero | Industrias básicas de hierro y acero | 772 | 24.0× |
| Recuperación y reciclamiento de desperdicios y desechos metálicos | Recuperación de materiales | 284 | 20.3× |
| Actividades de centros de salud municipalizados (servicios de salud pública) | Actividades de médicos y odontólogos | 3,846 | 20.0× |
| Actividades de sindicatos | Actividades de sindicatos | 58 | 17.9× |
| Alquiler de maquinaria y equipo agropecuario, forestal, de construcción e ing. civil, sin operarios | Alquiler y arrendamiento de otros tipos de maquinaria, equipo y bienes tangibles | 1,147 | 15.7× |
| Servicios de transporte de pasajeros en taxis libres y radiotaxis | Otras actividades de transporte por vía terrestre | 77 | 14.6× |
| Otros servicios de ensayos y análisis técnicos (excepto actividades de plantas de revisión técnica) | Ensayos y análisis técnicos | 351 | 10.8× |
| Otras actividades de servicio de bebidas n.c.p. | Actividades de servicio de bebidas | 25 | 10.5× |
| Actividades de casinos de juegos | Actividades de juegos de azar y apuestas | 358 | 9.5× |
| Fabricación de fibras de vidrio | Fabricación de vidrio y productos de vidrio | 21 | 9.1× |
| Fabricación de otros productos elaborados de metal n.c.p. | Fabricación de otros productos elaborados de metal; actividades de servicios de trabajo de metales | 1,179 | 8.2× |
| Otras actividades de alojamiento n.c.p. | Otras actividades de alojamiento | 244 | 7.8× |
The register files a firm at its tax address, so an activity can be over-represented here because the work happens here or because the head office does. Both are real facts about a place and they are not the same fact, and nothing in the register tells them apart: the communes where large firms keep their registered office carry activities that are physically elsewhere in Chile.
Revealed comparative advantage (Balassa, 1965) and the space of activities (Hidalgo, Klinger, Barabási and Hausmann, 2007), computed on formal employment because that is what a Chilean commune has. Built from the 500-worker activities and the communes above 1,000 formal workers; the floors are on /datos with everything else.
Population and territory
See all →Population pyramid
| Indicator | Value | Against its peers | Province | Chile | Rank |
|---|---|---|---|---|---|
Census population | 166,334 | 176,433 | 18,480,432 | 31st of 346 | |
Average age | 34.6 yrs | 34.6 yrs | 38.1 yrs | 334th of 346 | |
Ageing index · People aged 65 or over per 100 under 15. | 43.2 | 43.1 | 79.0 | 331st of 345 | |
Population density · Inhabitants per square kilometre, over the area of the census cartography. | 10.7/km² | 4.2/km² | 24.7/km² | 255th of 346 |
See the other 13 indicators
| Indicator | Value | Against its peers | Province | Chile | Rank |
|---|---|---|---|---|---|
Households | 56,045 | 60,042 | 6,596,527 | 33rd of 346 | |
Dwellings | 60,835 | 66,344 | 7,642,716 | 33rd of 346 | |
People per household | 2.97 | 2.94 | 2.80 | 46th of 345 | |
Women | 50.5% | 50.6% | 51.5% | 228th of 346 | |
Men per 100 women | 97.9 | 97.6 | 94.3 | 119th of 346 | |
Under 15 | 20.9% | 20.9% | 17.7% | 22nd of 346 | |
65 and over | 9.0% | 9.0% | 14.0% | 331st of 346 | |
Dependency ratio · Population outside working age per 100 of working age. | 42.8 | 42.7 | 46.5 | 323rd of 346 | |
One-person households | 22.0% | 22.8% | 21.8% | 179th of 345 | |
Households with children | 40.1% | 39.8% | 33.2% | 19th of 345 | |
Indigenous peoples | 27.3% | 29.3% | 11.4% | 83rd of 346 | |
Female-headed households | 43.9% | 44.5% | 49.9% | 284th of 345 | |
Land area | 15,599 km² | 42,071 km² | 748,041 km² | 10th of 346 |
Migration
See all →When the migrant population arrived
| Indicator | Value | Against its peers | Province | Chile | Rank |
|---|---|---|---|---|---|
Foreign-born share | 21.2% | 21.6% | 8.7% | 18th of 346 | |
Lives in the commune where they were born · Casen 2024 asks in which comuna each person's mother lived when they were born. It is lifetime migration, not last year's, and it measures origin, not moves: someone born here who left and came back counts as living where they were born. | 55.6% | 54.7% | 50.5% | 211th of 335 | |
Came from another commune of the same region · Of those who live here, the ones born in another comuna of this same region. It is the short move: within the metropolitan area, the valley or the neighbouring province. | 4.2% | 4.8% | 23.9% | 328th of 335 | |
Came from another region · Of those who live here, the ones born in a comuna of another region. | 18.4% | 19.0% | 17.2% | 107th of 335 |
See the other 9 indicators
| Indicator | Value | Against its peers | Province | Chile | Rank |
|---|---|---|---|---|---|
Foreign-born population | 35,221 | 38,023 | 1,608,650 | 11th of 346 | |
Average age, foreign-born | 31.8 yrs | 31.8 yrs | 33.5 yrs | 256th of 345 | |
Women among foreign-born | 55.1% | 55.0% | 51.7% | 40th of 345 | |
Foreign-born of working age | 82.9% | 83.0% | 83.1% | 91st of 345 | |
Arrived since 2020 · Share of the migrant population that arrived in the country in 2020 or later. | 33.9% | 33.7% | 34.4% | 217th of 345 | |
Foreign-born share of working-age population · Foreign-born people aged 15 to 64, over everyone aged 15 to 64 in the comuna. | 25.1% | 25.5% | 10.6% | 17th of 346 | |
Average schooling, foreign-born | 11.7 yrs | 11.7 yrs | 12.9 yrs | 270th of 345 | |
Net internal migration · People who arrived from another comuna minus people born here who live in another comuna. It is a lifetime balance, not a year's. Chile adds to zero by construction: nobody leaves the country in this count. | -30,852 | -28,914 | 0 | 317th of 335 | |
Net internal migration per 100 residents · The balance above, over the population living in the territory. | -15.7 | -13.9 | 0.0 | 207th of 335 |
Education
See all →How far schooling went
| Indicator | Value | Against its peers | Province | Chile | Rank |
|---|---|---|---|---|---|
Average years of schooling | 10.3 yrs | 10.3 yrs | 10.4 yrs | 58th of 346 | |
Reached higher education | 28.0% | 27.8% | 31.1% | 74th of 346 | |
School attendance, ages 6-17 | 98.5% | 98.5% | 98.6% | 244th of 333 | |
Continues to higher education · Of young secondary-school graduates, those enrolled in first-year undergraduate studies the following March. By the comuna of the school where they finished secondary school, which is the approximation to origin that Mineduc publishes. | 59.8% | 59.7% | 55.6% | 81st of 331 |
See the other 17 indicators
| Indicator | Value | Against its peers | Province | Chile | Rank |
|---|---|---|---|---|---|
Women's schooling as share of men's · 100 means parity; below 100, women in the territory completed fewer years than men. The census does not publish educational attainment split by sex at comuna level, so the higher-education gap is not in PuroChile: only the gap in years of schooling. | 97.6% | 97.6% | 99.8% | 326th of 346 | |
Literacy rate | 98.9% | 98.9% | 97.8% | 27th of 346 | |
Reached secondary education | 41.9% | 41.9% | 36.7% | 36th of 346 | |
Primary education only | 21.5% | 21.7% | 24.1% | 304th of 346 | |
Never attended school | 3.80% | 3.83% | 3.01% | 143rd of 346 | |
Average years of schooling, men · The census publishes this average over the population aged 18 or over and crosses age with sex only in five-year bands, so it is weighted by the population aged 15 or over of each sex. Rebuilt from the 346 comunas it gives 12.1 years, the same figure INE published for the country. | 12.5 yrs | 12.5 yrs | 12.1 yrs | 37th of 346 | |
Average years of schooling, women · Same weight and same caveat as the figure for men. | 12.2 yrs | 12.2 yrs | 12.1 yrs | 56th of 346 | |
Illiteracy · People aged 15 or over who say they cannot read or write. | 1.05% | 1.10% | 2.18% | 322nd of 345 | |
Households lacking schooling | 15.6% | 15.5% | 15.1% | 251st of 335 | |
Secondary school leavers · Secondary education for children and young people, by the comuna of the school where they took it. Adults are counted apart. | 2,413 | 2,533 | 217,565 | 25th of 331 | |
Leaves from technical-vocational school · Commercial, industrial, technical, agricultural and maritime tracks. | 44.1% | 45.2% | 33.9% | 123rd of 331 | |
Leaves from a rural school · By the school's own rural classification. A zero here is a measured zero —the comuna had a graduating class and none of its graduates came from a rural school—, not a cell without data: two in three comunas are in that situation. There is no continuation rate split by rural and urban because the median comuna's rural divisor does not reach thirty graduates. | 0.0% | 0.8% | 3.1% | 114th of 331 | |
Of those continuing, enters a university · The three destinations split the same total and add up to 100. | 49.9% | 51.2% | 67.2% | 289th of 331 | |
Of those continuing, enters a professional institute · The three destinations split the same total and add up to 100. | 32.2% | 31.4% | 19.7% | 35th of 331 | |
Of those continuing, enters a technical training centre · The three destinations split the same total and add up to 100. | 17.9% | 17.3% | 13.1% | 141st of 331 | |
Of those continuing, studies outside their region · Compares the region of the school they graduated from with the region of the campus where they enrol. A campus is not necessarily where the student lives. | 33.1% | 34.5% | 13.0% | 81st of 331 | |
Of those continuing, women · The graduates module does not publish sex, so there is no continuation rate by sex: only the make-up of those who do continue. | 48.9% | 49.0% | 49.7% | 220th of 331 |
The class of 2024
Mineduc (SIES), by the comuna they went to school inApproximation: the comuna is the one this cohort was enrolled in for secondary school, which is what Mineduc publishes — not a home address, which it does not.
The ten programmes they enrolled in most
Each bar is that programme's share of everyone who continued, here and in the country — not a headcount, so a commune of a few hundred can be read beside a country of 121,050. Programme names as the register writes them: in capitals and without accents, and unmerged, since SIES publishes 1,481 distinct names in a single year and two spellings of one degree stay two rows. Only the capitals are undone here.
By field of study
The ten broad fields of ISCED-F 2013, as SIES classifies each programme, as a share of everyone who continued, here and in the country.
Nineteen cohorts, 2006–2024
Only enrolment the following March counts — someone who works for a year and starts after that is not here, so the rate is a floor under how many ever study, not an estimate of it. Adult secondary education is counted separately and is not in these figures. What the approximation above does not settle is catchment: this is the cohort Calama's schools taught, and where schools draw pupils from next door that is not the same set of children as the ones the territory raised.
Health
See all →The hospital figures come from DEIS's discharge register: one row per completed stay, in any establishment in the country, counted in the commune where the patient lives rather than where the hospital is. It counts stays, not people — someone admitted three times is three of them.
The deaths it records are the ones that happened during a stay. Deaths at home or in the street are in the vital statistics register, which is a different DEIS release and is not in PuroChile — so nothing here is this place's mortality, and every label says «hospitalaria» for that reason.
The two standardised ratios are the ones meant for comparing places: they hold Calama against what its own age and sex structure would produce at the country's rates, with Chile fixed at 100. A commune of older people buries more people than a commune of young families, and that is demography, not health.
In 2024, 7.5% of the country's discharges arrive with every identifying field replaced by an asterisk and cannot be attached to any commune; what is counted here is the 91.4% that carries one.
Which health system
| Indicator | Value | Against its peers | Province | Chile | Rank |
|---|---|---|---|---|---|
Disability prevalence | 7.3% | 7.4% | 10.6% | 325th of 346 | |
Public health insurance | 76.0% | 76.5% | 82.6% | 316th of 335 | |
Hospital discharges per 1,000 residents · Not age-adjusted. It mixes how much illness there is with how much hospital there is nearby. | 105.6 | 100.3 | 82.5 | 27th of 331 | |
In-hospital mortality, standardised ratio · Chile = 100, adjusting for this comuna's age and sex. | 130 | 123 | 100 | 43rd of 331 |
See the other 21 indicators
| Indicator | Value | Against its peers | Province | Chile | Rank |
|---|---|---|---|---|---|
People with a disability | 12,222 | 12,981 | 1,950,388 | 50th of 346 | |
Average age, people with a disability | 51.2 yrs | 51.2 yrs | 56.4 yrs | 333rd of 346 | |
Disability among 65+ | 34.4% | 34.5% | 43.0% | 330th of 346 | |
Difficulty walking | 3.02% | 2.99% | 4.92% | 321st of 346 | |
Difficulty seeing | 3.28% | 3.31% | 4.58% | 322nd of 346 | |
Difficulty hearing | 1.53% | 1.55% | 2.16% | 318th of 346 | |
Difficulty concentrating | 1.72% | 1.72% | 2.70% | 324th of 346 | |
Private health insurance | 17.0% | 16.6% | 13.2% | 29th of 335 | |
No health coverage | 4.65% | 4.55% | 1.98% | 28th of 335 | |
Sought care when ill · Of those who had an illness or accident in the last three months. | 88.1% | 87.7% | 92.1% | 264th of 332 | |
Households lacking health access | 7.2% | 7.3% | 6.0% | 95th of 335 | |
Hospital discharges · Episodes, not people: someone hospitalised three times counts three times. | 17,560 | 17,702 | 1,523,716 | 22nd of 331 | |
Deaths during a hospital stay · Only those that happen in hospital; the rest do not go through this register. | 302 | 303 | 36,698 | 36th of 331 | |
In-hospital case fatality · Of every 100 hospital stays, how many end in death. | 1.72% | 1.71% | 2.41% | 297th of 331 | |
Average length of stay · Bed-days over discharges, averaged after adding up. | 4.9 days | 4.9 days | 6.1 days | 319th of 331 | |
In-hospital deaths per 10,000 residents · Not age-adjusted, and therefore high where the population is older. | 18.2 | 17.2 | 19.9 | 188th of 331 | |
Hospitalisation, standardised ratio · Chile = 100, adjusting for this comuna's age and sex. | 137 | 131 | 100 | 12th of 331 | |
Cancer hospitalisations · Discharges with a malignant tumour (C00-C97) as the main diagnosis. Episodes, not people. | 810 | 819 | 89,723 | 34th of 330 | |
Share of hospitalisations that are for cancer · Of every 100 discharges in the comuna, how many are for a malignant tumour. | 4.6% | 4.6% | 5.9% | 258th of 330 | |
Cancer hospitalisations per 10,000 residents · Not age-adjusted: above all it compares how old the comuna is. | 48.7 | 46.4 | 48.6 | 89th of 330 | |
Cancer hospitalisation, standardised ratio · Chile = 100, adjusting for this comuna's age and sex. It is the only one of the four made for comparing places. | 120 | 114 | 100 | 33rd of 330 |
What people are hospitalised for
By tumour site
Economy and poverty
See all →| Indicator | Value | Against its peers | Province | Chile | Rank |
|---|---|---|---|---|---|
Income poverty · People in households whose income does not cover the poverty line. | 17.2% | 17.4% | 17.3% | 233rd of 335 | |
Average monthly pay · Reported net pay in UF divided by workers weighted by months worked. | 34.9 UF | 34.1 UF | 32.0 UF | 14th of 342 | |
Women's pay as share of men's · 100 means parity; below 100, women earn less per full-time-equivalent job. | 70.8% | 71.2% | 78.9% | 327th of 342 | |
Firms per 1,000 residents · Firms with their registered address or head office in the territory; in comunas where large firms are registered the figure reflects the head office, not the activity. | 61.0 | 65.3 | 85.6 | 278th of 346 |
See the other 16 indicators
| Indicator | Value | Against its peers | Province | Chile | Rank |
|---|---|---|---|---|---|
Employment rate · Employed people over the population aged 15 or over. | 58.0% | 58.6% | 54.4% | 54th of 345 | |
Census unemployment · Measured by the Census, not by Casen: the two ask differently. | 8.1% | 7.8% | 8.6% | 198th of 345 | |
Self-employed | 32.0% | 32.8% | 33.8% | 238th of 345 | |
Extreme poverty | 8.7% | 8.7% | 6.9% | 144th of 335 | |
Multidimensional poverty · Households with deprivations in education, health, work, housing or networks. | 22.3% | 22.1% | 17.7% | 96th of 335 | |
Unemployment rate | 9.0% | 9.0% | 8.8% | 168th of 335 | |
Household income per capita · Chilean pesos per month, corrected total income. | CLP 793,118 | CLP 801,571 | CLP 783,124 | 41st of 335 | |
Gini coefficient · 0 is a perfectly equal split and 1 a perfectly unequal one. On household per-capita income (ypchtotcor). A survey estimate: in comunas with a small sample the interval is wide. | 0.467 | 0.468 | 0.488 | 79th of 321 | |
Registered firms | 10,154 | 11,520 | 1,582,390 | 38th of 346 | |
Annual sales | 111,757,083 UF | 115,690,121 UF | 34,347,683,688 UF | 35th of 342 | |
Employees reported · People reported at some point in the tax year, not average employment: the national total exceeds the employed because someone who worked two months counts the same as someone who worked twelve. | 44,361 | 48,131 | 9,699,164 | 44th of 346 | |
Sales per firm | 11,006 UF | 10,043 UF | 21,706 UF | 51st of 342 | |
Employees per firm · Workers weighted by months worked, so two half-year jobs are not counted as two positions. | 2.8 | 2.7 | 3.9 | 93rd of 346 | |
Women among employees | 35.5% | 36.6% | 40.6% | 259th of 345 | |
Independent contractors | 13,686 | 17,180 | 3,958,269 | 48th of 346 | |
Contractors as share of workers | 23.6% | 26.3% | 29.0% | 234th of 346 |
Employment by industry
Employment by occupation
Housing and services
See all →House or flat
| Indicator | Value | Against its peers | Province | Chile | Rank |
|---|---|---|---|---|---|
Overcrowded dwellings | 9.3% | 9.6% | 5.7% | 21st of 345 | |
Internet access | 96.3% | 95.8% | 93.2% | 24th of 345 | |
Average distance to a facility with an emergency service · Population-weighted average of the straight-line distance from each of the 244,754 blocks and rural entities of the 2024 census to the nearest facility standing in September 2026. It is a floor: nobody travels in a straight line. | 1.2 | 1.7 | 2.3 | 308th of 345 | |
Average distance to a school teaching upper secondary · Population-weighted average of the straight-line distance from each of the 244,754 blocks and rural entities of the 2024 census to the nearest facility standing in 2025. It is a floor: nobody travels in a straight line. | 0.9 | 1.1 | 1.6 | 296th of 345 |
See the other 35 indicators
| Indicator | Value | Against its peers | Province | Chile | Rank |
|---|---|---|---|---|---|
Occupied dwellings with residents | 52,533 | 56,312 | 6,408,172 | 33rd of 346 | |
Critically overcrowded | 1.20% | 1.30% | 0.57% | 19th of 345 | |
Irrecoverable dwellings | 1.89% | 2.21% | 1.13% | 79th of 345 | |
Public water network | 94.9% | 93.8% | 92.3% | 75th of 345 | |
Electricity access | 99.6% | 99.5% | 99.6% | 118th of 345 | |
Detached houses | 91.5% | 91.6% | 78.7% | 265th of 345 | |
Apartments | 5.7% | 5.3% | 19.9% | 86th of 345 | |
Precarious wall materials | 0.50% | 0.56% | 0.23% | 39th of 345 | |
Unoccupied private dwellings | 8.6% | 9.7% | 11.9% | 261st of 345 | |
Quantitative housing deficit | 8,046 | 8,814 | 491,904 | 12th of 345 | |
Housing deficit as share of households | 14.4% | 14.7% | 7.5% | 27th of 345 | |
Renting households | 38.4% | 38.3% | 26.2% | 14th of 345 | |
Owner-occupiers | 47.4% | 46.6% | 61.1% | 323rd of 345 | |
Households heating with wood · Firewood is the main source of urban air pollution in the south. | 2.0% | 2.4% | 24.4% | 295th of 345 | |
Commute by public transport | 35.0% | 33.6% | 42.1% | 79th of 345 | |
Walks to work | 9.1% | 10.3% | 10.2% | 264th of 345 | |
Households with a computer | 56.3% | 55.3% | 54.9% | 51st of 345 | |
Average distance to any health facility · Population-weighted average of the straight-line distance from each of the 244,754 blocks and rural entities of the 2024 census to the nearest facility standing in September 2026. It is a floor: nobody travels in a straight line. | 0.7 | 0.8 | 1.1 | 306th of 345 | |
People within 5 km of any health facility · Lives in a census block or rural entity within 5 km of the nearest facility, as the crow flies. Population from the 2024 census; facilities as they stood in September 2026. | 99.1% | 98.5% | 97.0% | 80th of 345 | |
People within 15 km of any health facility · Lives in a census block or rural entity within 15 km of the nearest facility, as the crow flies. Population from the 2024 census; facilities as they stood in September 2026. | 99.8% | 99.5% | 99.9% | 264th of 345 | |
People within 30 km of any health facility · Lives in a census block or rural entity within 30 km of the nearest facility, as the crow flies. Population from the 2024 census; facilities as they stood in September 2026. | 100.0% | 99.8% | 100.0% | 300th of 345 | |
People within 5 km of a facility with an emergency service · Lives in a census block or rural entity within 5 km of the nearest facility, as the crow flies. Population from the 2024 census; facilities as they stood in September 2026. | 98.4% | 97.4% | 89.4% | 46th of 345 | |
People within 15 km of a facility with an emergency service · Lives in a census block or rural entity within 15 km of the nearest facility, as the crow flies. Population from the 2024 census; facilities as they stood in September 2026. | 99.3% | 98.5% | 98.1% | 137th of 345 | |
People within 30 km of a facility with an emergency service · Lives in a census block or rural entity within 30 km of the nearest facility, as the crow flies. Population from the 2024 census; facilities as they stood in September 2026. | 99.7% | 99.1% | 99.7% | 263rd of 345 | |
Average distance to a second- or third-level facility · Population-weighted average of the straight-line distance from each of the 244,754 blocks and rural entities of the 2024 census to the nearest facility standing in September 2026. It is a floor: nobody travels in a straight line. | 1.2 | 6.2 | 5.9 | 313th of 345 | |
People within 5 km of a second- or third-level facility · Lives in a census block or rural entity within 5 km of the nearest facility, as the crow flies. Population from the 2024 census; facilities as they stood in September 2026. | 98.4% | 93.2% | 80.3% | 40th of 345 | |
People within 15 km of a second- or third-level facility · Lives in a census block or rural entity within 15 km of the nearest facility, as the crow flies. Population from the 2024 census; facilities as they stood in September 2026. | 99.4% | 94.1% | 90.0% | 86th of 345 | |
People within 30 km of a second- or third-level facility · Lives in a census block or rural entity within 30 km of the nearest facility, as the crow flies. Population from the 2024 census; facilities as they stood in September 2026. | 99.7% | 94.5% | 96.2% | 168th of 345 | |
Average distance to a school in operation · Population-weighted average of the straight-line distance from each of the 244,754 blocks and rural entities of the 2024 census to the nearest facility standing in 2025. It is a floor: nobody travels in a straight line. | 0.5 | 0.7 | 0.6 | 284th of 345 | |
People within 5 km of a school in operation · Lives in a census block or rural entity within 5 km of the nearest facility, as the crow flies. Population from the 2024 census; facilities as they stood in 2025. | 99.1% | 98.5% | 99.0% | 150th of 345 | |
People within 15 km of a school in operation · Lives in a census block or rural entity within 15 km of the nearest facility, as the crow flies. Population from the 2024 census; facilities as they stood in 2025. | 99.8% | 99.4% | 99.9% | 279th of 345 | |
People within 30 km of a school in operation · Lives in a census block or rural entity within 30 km of the nearest facility, as the crow flies. Population from the 2024 census; facilities as they stood in 2025. | 100.0% | 99.7% | 100.0% | 307th of 345 | |
People within 5 km of a school teaching upper secondary · Lives in a census block or rural entity within 5 km of the nearest facility, as the crow flies. Population from the 2024 census; facilities as they stood in 2025. | 98.9% | 98.2% | 91.6% | 55th of 345 | |
People within 15 km of a school teaching upper secondary · Lives in a census block or rural entity within 15 km of the nearest facility, as the crow flies. Population from the 2024 census; facilities as they stood in 2025. | 99.4% | 98.9% | 98.5% | 149th of 345 | |
People within 30 km of a school teaching upper secondary · Lives in a census block or rural entity within 30 km of the nearest facility, as the crow flies. Population from the 2024 census; facilities as they stood in 2025. | 99.7% | 99.3% | 99.8% | 263rd of 345 |
How people commute
Housing tenure
Home heating fuel
How it voted in 2025
TRICEL · qualified resultPresidential runoff · 14 December
Presidential, first round · 16 November
Chamber of Deputies · 16 November
Sister communes
How this is computedThe four communes that most resemble Calama across the 28 figures PuroChile publishes for the 345 communes with complete data, grouped into seven dimensions of equal weight. This is not proximity: nothing in the computation knows where any commune is.
The figure beside each name is the distance between the two communes: 0 would be identical, and 1.48 is what separates any two communes in the country. Each bar is one of the seven dimensions, and reaches the end when the two differ on it by twice what two communes picked at random do. Location is not part of the computation: 52% of these pairings cross into another region.