Diego de Almagro
Compare Diego de Almagro 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 · 616 surveyedFormal employment, 2005–2024
2005–2024 · Source SIIThe ten branches that employ most of Diego de Almagro
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 Diego de Almagro is specialised in
2024 · SIIOf the 672 activities the tax register files firms under, Diego de Almagro employs more people in 40 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 Diego de Almagro
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 |
|---|---|---|---|
| Actividades de residenciales para estudiantes y trabajadores | Otras actividades de alojamiento | 54 | 50.7× |
| Preparación del terreno | Demolición y preparación del terreno | 791 | 36.7× |
| Actividades de otros clubes deportivos n.c.p. | Actividades deportivas | 117 | 35.2× |
| Venta al por mayor de desechos metálicos (chatarra) | Otras actividades de venta al por mayor especializada | 16 | 25.2× |
| Producción de aguas minerales y otras aguas embotelladas | Elaboración de bebidas alcohólicas y no alcohólicas | 16 | 20.9× |
| Actividades de paisajismo, servicios de jardinería y servicios conexos | Actividades de paisajismo y servicios de mantenimiento conexos | 84 | 11.4× |
| Otras actividades de transporte de pasajeros por vía terrestre n.c.p. | Otras actividades de transporte por vía terrestre | 98 | 10.1× |
| Servicios de transporte de trabajadores | Otras actividades de transporte por vía terrestre | 56 | 7.6× |
| Empresas de servicios de ingeniería y actividades conexas de consultoría técnica | Actividades de arquitectura e ingeniería y actividades conexas de consultoría técnica | 328 | 5.8× |
| Actividades de hoteles | Actividades de alojamiento para estancias cortas | 135 | 5.5× |
| Otras actividades de limpieza de edificios e instalaciones industriales n.c.p. | Actividades de limpieza | 62 | 4.9× |
| Recuperación y reciclamiento de desperdicios y desechos metálicos | Recuperación de materiales | 4 | 3.6× |
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 | 11,397 | 23,742 | 18,480,432 | 243rd of 346 | |
Average age | 36.1 yrs | 37.0 yrs | 38.1 yrs | 313th of 346 | |
Ageing index · People aged 65 or over per 100 under 15. | 48.6 | 61.3 | 79.0 | 326th of 345 | |
Population density · Inhabitants per square kilometre, over the area of the census cartography. | 0.6/km² | 1.0/km² | 24.7/km² | 321st of 346 |
See the other 13 indicators
| Indicator | Value | Against its peers | Province | Chile | Rank |
|---|---|---|---|---|---|
Households | 4,157 | 8,540 | 6,596,527 | 240th of 346 | |
Dwellings | 6,808 | 14,045 | 7,642,716 | 213th of 346 | |
People per household | 2.74 | 2.78 | 2.80 | 180th of 345 | |
Women | 50.2% | 49.9% | 51.5% | 256th of 346 | |
Men per 100 women | 99.1 | 100.3 | 94.3 | 91st of 346 | |
Under 15 | 21.2% | 20.7% | 17.7% | 19th of 346 | |
65 and over | 10.3% | 12.7% | 14.0% | 323rd of 346 | |
Dependency ratio · Population outside working age per 100 of working age. | 45.9 | 50.2 | 46.5 | 291st of 346 | |
One-person households | 24.2% | 24.4% | 21.8% | 107th of 345 | |
Households with children | 37.7% | 36.6% | 33.2% | 43rd of 345 | |
Indigenous peoples | 15.3% | 15.6% | 11.4% | 125th of 346 | |
Female-headed households | 44.7% | 50.1% | 49.9% | 265th of 345 | |
Land area | 18,992 km² | 24,765 km² | 748,041 km² | 7th of 346 |
Migration
See all →When the migrant population arrived
| Indicator | Value | Against its peers | Province | Chile | Rank |
|---|---|---|---|---|---|
Foreign-born share | 6.4% | 5.0% | 8.7% | 75th 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. | 52.0% | 55.3% | 50.5% | 239th 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. | 15.6% | 15.9% | 23.9% | 210th of 335 | |
Came from another region · Of those who live here, the ones born in a comuna of another region. | 28.9% | 25.8% | 17.2% | 29th of 335 |
See the other 9 indicators
| Indicator | Value | Against its peers | Province | Chile | Rank |
|---|---|---|---|---|---|
Foreign-born population | 735 | 1,198 | 1,608,650 | 142nd of 346 | |
Average age, foreign-born | 31.8 yrs | 31.1 yrs | 33.5 yrs | 256th of 345 | |
Women among foreign-born | 55.8% | 54.7% | 51.7% | 33rd of 345 | |
Foreign-born of working age | 80.4% | 80.2% | 83.1% | 200th of 345 | |
Arrived since 2020 · Share of the migrant population that arrived in the country in 2020 or later. | 44.9% | 47.7% | 34.4% | 87th 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. | 7.6% | 6.1% | 10.6% | 78th of 346 | |
Average schooling, foreign-born | 11.6 yrs | 11.6 yrs | 12.9 yrs | 281st 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. | -10,047 | -20,683 | 0 | 285th of 335 | |
Net internal migration per 100 residents · The balance above, over the population living in the territory. | -72.5 | -77.0 | 0.0 | 316th of 335 |
Education
See all →How far schooling went
| Indicator | Value | Against its peers | Province | Chile | Rank |
|---|---|---|---|---|---|
Average years of schooling | 9.9 yrs | 9.7 yrs | 10.4 yrs | 94th of 346 | |
Reached higher education | 23.2% | 21.7% | 31.1% | 134th of 346 | |
School attendance, ages 6-17 | 100.0% | 100.0% | 98.6% | 1st 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. | 64.0% | 60.5% | 55.6% | 41st 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. | 99.2% | 100.1% | 99.8% | 278th of 346 | |
Literacy rate | 98.6% | 98.4% | 97.8% | 44th of 346 | |
Reached secondary education | 43.2% | 43.2% | 36.7% | 24th of 346 | |
Primary education only | 25.3% | 26.6% | 24.1% | 267th of 346 | |
Never attended school | 2.63% | 2.66% | 3.01% | 302nd 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. | 11.9 yrs | 11.5 yrs | 12.1 yrs | 71st of 346 | |
Average years of schooling, women · Same weight and same caveat as the figure for men. | 11.8 yrs | 11.5 yrs | 12.1 yrs | 84th of 346 | |
Illiteracy · People aged 15 or over who say they cannot read or write. | 1.44% | 1.61% | 2.18% | 303rd of 345 | |
Households lacking schooling | 14.0% | 13.7% | 15.1% | 267th 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. | 175 | 339 | 217,565 | 182nd of 331 | |
Leaves from technical-vocational school · Commercial, industrial, technical, agricultural and maritime tracks. | 38.3% | 43.1% | 33.9% | 156th 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% | 0.0% | 3.1% | 114th of 331 | |
Of those continuing, enters a university · The three destinations split the same total and add up to 100. | 59.8% | 56.1% | 67.2% | 196th of 331 | |
Of those continuing, enters a professional institute · The three destinations split the same total and add up to 100. | 15.2% | 13.2% | 19.7% | 216th of 331 | |
Of those continuing, enters a technical training centre · The three destinations split the same total and add up to 100. | 25.0% | 30.7% | 13.1% | 73rd 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. | 57.1% | 43.9% | 13.0% | 39th 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. | 43.8% | 46.8% | 49.7% | 296th 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 Diego de Almagro'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 Diego de Almagro 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 | 11.1% | 10.6% | 10.6% | 219th of 346 | |
Public health insurance | 86.6% | 90.4% | 82.6% | 263rd 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. | 41.0 | 54.1 | 82.5 | 287th of 331 | |
In-hospital mortality, standardised ratio · Chile = 100, adjusting for this comuna's age and sex. | 38 | 100 | 100 | 308th of 331 |
See the other 21 indicators
| Indicator | Value | Against its peers | Province | Chile | Rank |
|---|---|---|---|---|---|
People with a disability | 1,261 | 2,508 | 1,950,388 | 259th of 346 | |
Average age, people with a disability | 52.5 yrs | 54.2 yrs | 56.4 yrs | 319th of 346 | |
Disability among 65+ | 33.4% | 37.6% | 43.0% | 331st of 346 | |
Difficulty walking | 4.41% | 4.32% | 4.92% | 271st of 346 | |
Difficulty seeing | 5.91% | 5.47% | 4.58% | 117th of 346 | |
Difficulty hearing | 2.19% | 2.11% | 2.16% | 241st of 346 | |
Difficulty concentrating | 2.46% | 2.14% | 2.70% | 254th of 346 | |
Private health insurance | 11.4% | 7.5% | 13.2% | 50th of 335 | |
No health coverage | 1.40% | 1.37% | 1.98% | 171st of 335 | |
Sought care when ill · Of those who had an illness or accident in the last three months. | 92.6% | 91.6% | 92.1% | 188th of 332 | |
Households lacking health access | 3.0% | 5.3% | 6.0% | 248th of 335 | |
Hospital discharges · Episodes, not people: someone hospitalised three times counts three times. | 467 | 1,285 | 1,523,716 | 264th of 331 | |
Deaths during a hospital stay · Only those that happen in hospital; the rest do not go through this register. | 7 | 44 | 36,698 | 295th of 331 | |
In-hospital case fatality · Of every 100 hospital stays, how many end in death. | 1.50% | 3.42% | 2.41% | 308th of 331 | |
Average length of stay · Bed-days over discharges, averaged after adding up. | 5.7 days | 6.7 days | 6.1 days | 259th of 331 | |
In-hospital deaths per 10,000 residents · Not age-adjusted, and therefore high where the population is older. | 6.1 | 18.5 | 19.9 | 315th of 331 | |
Hospitalisation, standardised ratio · Chile = 100, adjusting for this comuna's age and sex. | 52 | 67 | 100 | 276th of 331 | |
Cancer hospitalisations · Discharges with a malignant tumour (C00-C97) as the main diagnosis. Episodes, not people. | 14 | 62 | 89,723 | 298th of 330 | |
Share of hospitalisations that are for cancer · Of every 100 discharges in the comuna, how many are for a malignant tumour. | 3.0% | 4.8% | 5.9% | 317th of 330 | |
Cancer hospitalisations per 10,000 residents · Not age-adjusted: above all it compares how old the comuna is. | 12.3 | 26.1 | 48.6 | 319th 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. | 28 | 55 | 100 | 311th of 330 |
What people are hospitalised for
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. | 12.7% | 18.8% | 17.3% | 285th of 335 | |
Average monthly pay · Reported net pay in UF divided by workers weighted by months worked. | 32.2 UF | 31.8 UF | 32.0 UF | 25th of 342 | |
Women's pay as share of men's · 100 means parity; below 100, women earn less per full-time-equivalent job. | 68.0% | 68.9% | 78.9% | 330th 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. | 73.4 | 79.2 | 85.6 | 201st 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. | 60.4% | 57.5% | 54.4% | 37th of 345 | |
Census unemployment · Measured by the Census, not by Casen: the two ask differently. | 7.7% | 7.8% | 8.6% | 218th of 345 | |
Self-employed | 24.9% | 28.7% | 33.8% | 333rd of 345 | |
Extreme poverty | 6.0% | 6.2% | 6.9% | 227th of 335 | |
Multidimensional poverty · Households with deprivations in education, health, work, housing or networks. | 13.7% | 18.1% | 17.7% | 236th of 335 | |
Unemployment rate | 6.7% | 9.2% | 8.8% | 253rd of 335 | |
Household income per capita · Chilean pesos per month, corrected total income. | CLP 697,449 | CLP 611,928 | CLP 783,124 | 55th 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. | 0.391 | 0.415 | 0.488 | 274th of 321 | |
Registered firms | 837 | 1,881 | 1,582,390 | 251st of 346 | |
Annual sales | 4,478,218 UF | 9,024,733 UF | 34,347,683,688 UF | 210th 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. | 3,487 | 6,606 | 9,699,164 | 221st of 346 | |
Sales per firm | 5,350 UF | 4,798 UF | 21,706 UF | 115th of 342 | |
Employees per firm · Workers weighted by months worked, so two half-year jobs are not counted as two positions. | 2.7 | 2.3 | 3.9 | 105th of 346 | |
Women among employees | 30.3% | 28.0% | 40.6% | 315th of 345 | |
Independent contractors | 1,075 | 2,276 | 3,958,269 | 226th of 346 | |
Contractors as share of workers | 23.6% | 25.6% | 29.0% | 235th 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 | 5.1% | 5.2% | 5.7% | 189th of 345 | |
Internet access | 93.3% | 91.8% | 93.2% | 92nd 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. | 2.6 | 3.5 | 2.3 | 238th 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. | 2.6 | 3.4 | 1.6 | 207th of 345 |
See the other 35 indicators
| Indicator | Value | Against its peers | Province | Chile | Rank |
|---|---|---|---|---|---|
Occupied dwellings with residents | 4,089 | 8,388 | 6,408,172 | 240th of 346 | |
Critically overcrowded | 0.59% | 0.42% | 0.57% | 51st of 345 | |
Irrecoverable dwellings | 3.30% | 2.71% | 1.13% | 44th of 345 | |
Public water network | 86.2% | 88.7% | 92.3% | 160th of 345 | |
Electricity access | 99.3% | 99.2% | 99.6% | 187th of 345 | |
Detached houses | 95.9% | 97.3% | 78.7% | 221st of 345 | |
Apartments | 2.0% | 1.1% | 19.9% | 111th of 345 | |
Precarious wall materials | 0.70% | 0.55% | 0.23% | 23rd of 345 | |
Unoccupied private dwellings | 36.1% | 34.4% | 11.9% | 44th of 345 | |
Quantitative housing deficit | 285 | 566 | 491,904 | 207th of 345 | |
Housing deficit as share of households | 6.9% | 6.6% | 7.5% | 88th of 345 | |
Renting households | 18.7% | 16.6% | 26.2% | 119th of 345 | |
Owner-occupiers | 43.4% | 55.7% | 61.1% | 326th of 345 | |
Households heating with wood · Firewood is the main source of urban air pollution in the south. | 3.5% | 2.1% | 24.4% | 289th of 345 | |
Commute by public transport | 20.4% | 26.7% | 42.1% | 235th of 345 | |
Walks to work | 26.9% | 24.8% | 10.2% | 50th of 345 | |
Households with a computer | 50.9% | 48.8% | 54.9% | 85th 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. | 1.1 | 1.4 | 1.1 | 263rd 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. | 97.4% | 95.2% | 97.0% | 105th 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. | 97.7% | 97.5% | 99.9% | 306th 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. | 99.9% | 99.7% | 100.0% | 305th 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. | 94.7% | 90.5% | 89.4% | 79th 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. | 94.8% | 91.8% | 98.1% | 226th 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. | 97.1% | 97.4% | 99.7% | 303rd 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. | 2.5 | 29.7 | 5.9 | 270th 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. | 94.7% | 45.4% | 80.3% | 64th 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. | 94.8% | 45.5% | 90.0% | 133rd 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. | 97.1% | 50.0% | 96.2% | 217th 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. | 2.1 | 2.0 | 0.6 | 37th 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. | 94.7% | 93.9% | 99.0% | 268th 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. | 94.8% | 95.2% | 99.9% | 330th 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. | 97.1% | 98.4% | 100.0% | 334th 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. | 94.7% | 90.5% | 91.6% | 91st 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. | 94.8% | 91.8% | 98.5% | 239th 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. | 97.1% | 97.4% | 99.8% | 309th 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
Senate · 16 November
Sister communes
How this is computedThe four communes that most resemble Diego de Almagro 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.