Commune · 13121
Pedro Aguirre Cerda
Compare Pedro Aguirre Cerda with another placeCensus population
96,062
61st of 346
Population density
10,970.9/km²
11th of 346
Average years of schooling
10.0 yrs
83rd of 346
Foreign-born share
9.9%
46th of 346
Where it stands out
Indicators with the most extreme rank among territories at its level.People within 5 km of any health facility1st of 345 · Chile 97.0%100.0%
People within 15 km of any health facility1st of 345 · Chile 99.9%100.0%
People within 30 km of any health facility1st of 345 · Chile 100.0%100.0%
People within 5 km of a facility with an emergency service1st of 345 · Chile 89.4%100.0%
People within 15 km of a facility with an emergency service1st of 345 · Chile 98.1%100.0%
People within 30 km of a facility with an emergency service1st of 345 · Chile 99.7%100.0%
Loading
Population density by commune
Trend 2005–2024
Average monthly pay
In UF, Chile's inflation-indexed unit, so the twenty years are comparable without deflating. Grey is the country.
Where the people here are from
Casen 2024 · 458 surveyedLives in the commune where they were born
50.5%
249th of 335
Came from another commune of the same region
32.8%
48th of 335
Came from another region
10.7%
281st of 335
Net internal migration
-19,738
-19.5 per 100 residents
Formal employment, 2005–2024
2005–2024 · Source SIIThe ten branches that employ most of Pedro Aguirre Cerda
Ranked by headcount in the latest year; the line is each branch's own twenty-year shape, on its own scale.
BranchWorkersShare of total2005–2024Change
01Retail and wholesaleTrade and logistics5,338+160%02Public administrationState and social services2,463—03ManufacturingIndustry and construction1,730+12%04ConstructionIndustry and construction1,640+23%05EducationState and social services1,175+182%06Administrative servicesAdvanced services1,064+261%07Agriculture and fishingNatural resources1,049+344%08TransportTrade and logistics936+21%09HealthState and social services429+1,379%10Professional servicesAdvanced services315+113%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 Pedro Aguirre Cerda is specialised in
2024 · SIIOf the 672 activities the tax register files firms under, Pedro Aguirre Cerda employs more people in 103 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.
103
activities it is specialised in
16,801
formal workers
31/296
by the complexity of what it is specialised in
Most over-represented in Pedro Aguirre Cerda
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 |
|---|---|---|---|
| Venta al por menor de otros artículos y equipos de deporte n.c.p. | Venta al por menor de productos culturales y recreativos en comercios especializados | 272 | 24.3× |
| Actividades de diseño y decoración de interiores | Actividades especializadas de diseño | 30 | 21.9× |
| Otras actividades de impresión n.c.p. | Impresión y actividades de servicios relacionadas con la impresión | 160 | 18.1× |
| Venta al por menor en comercios especializados de frutas y verduras (verdulerías) | Venta al por menor de alimentos, bebidas y tabaco en comercios especializados | 164 | 16.9× |
| Actividades de servicios relacionadas con la impresión | Impresión y actividades de servicios relacionadas con la impresión | 254 | 16.1× |
| Venta al por mayor de frutas y verduras | Venta al por mayor de alimentos, bebidas y tabaco | 858 | 13.3× |
| Venta al por menor de alimentos en comercios especializados (almacenes pequeños y minimarket) | Venta al por menor de alimentos, bebidas y tabaco en comercios especializados | 1,179 | 13.2× |
| Reparación de maquinaria para la elaboración de alimentos, bebidas y tabaco | Reparación de productos elaborados de metal, maquinaria y equipo | 17 | 12.5× |
| Fabricación de otros productos textiles n.c.p. | Fabricación de otros productos textiles | 55 | 11.4× |
| Actividades de salones de masajes, baños turcos, saunas, servicio de baños públicos | Otras actividades de servicios personales | 9 | 10.2× |
| Fabricación de maquinaria para la explotación de minas y canteras y para obras de construcción | Fabricación de maquinaria de uso especial | 135 | 9.0× |
| Actividades de atención en instituciones para personas de edad y personas con discapacidad física | Actividades de atención en instituciones para personas de edad y personas con discapacidad | 131 | 9.0× |
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 | 96,062 | 5,385,737 | 18,480,432 | 61st of 346 | |
Average age | 40.7 yrs | 38.3 yrs | 38.1 yrs | 82nd of 346 | |
Ageing index · People aged 65 or over per 100 under 15. | 113.8 | 85.1 | 79.0 | 54th of 345 | |
Population density · Inhabitants per square kilometre, over the area of the census cartography. | 10,970.9/km² | 2,653.4/km² | 24.7/km² | 11th of 346 |
See the other 13 indicators
| Indicator | Value | Against its peers | Province | Chile | Rank |
|---|---|---|---|---|---|
Households | 32,328 | 1,951,481 | 6,596,527 | 61st of 346 | |
Dwellings | 31,034 | 2,060,613 | 7,642,716 | 71st of 346 | |
People per household | 2.97 | 2.76 | 2.80 | 43rd of 345 | |
Women | 51.0% | 51.8% | 51.5% | 165th of 346 | |
Men per 100 women | 96.1 | 93.2 | 94.3 | 182nd of 346 | |
Under 15 | 16.1% | 16.3% | 17.7% | 287th of 346 | |
65 and over | 18.3% | 13.8% | 14.0% | 65th of 346 | |
Dependency ratio · Population outside working age per 100 of working age. | 52.3 | 43.0 | 46.5 | 126th of 346 | |
One-person households | 20.9% | 23.6% | 21.8% | 216th of 345 | |
Households with children | 31.4% | 30.2% | 33.2% | 230th of 345 | |
Indigenous peoples | 8.6% | 7.2% | 11.4% | 166th of 346 | |
Female-headed households | 53.4% | 51.1% | 49.9% | 19th of 345 | |
Land area | 9 km² | 2,030 km² | 748,041 km² | 341st of 346 |
Migration
See all →When the migrant population arrived
| Indicator | Value | Against its peers | Province | Chile | Rank |
|---|---|---|---|---|---|
Foreign-born share | 9.9% | 15.4% | 8.7% | 46th 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. | 50.5% | 34.9% | 50.5% | 249th 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. | 32.8% | 35.2% | 23.9% | 48th of 335 | |
Came from another region · Of those who live here, the ones born in a comuna of another region. | 10.7% | 16.4% | 17.2% | 281st of 335 |
See the other 9 indicators
| Indicator | Value | Against its peers | Province | Chile | Rank |
|---|---|---|---|---|---|
Foreign-born population | 9,522 | 828,368 | 1,608,650 | 47th of 346 | |
Average age, foreign-born | 32.3 yrs | 34.4 yrs | 33.5 yrs | 233rd of 345 | |
Women among foreign-born | 49.6% | 51.8% | 51.7% | 231st of 345 | |
Foreign-born of working age | 82.8% | 84.3% | 83.1% | 100th of 345 | |
Arrived since 2020 · Share of the migrant population that arrived in the country in 2020 or later. | 37.6% | 31.7% | 34.4% | 174th 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. | 12.5% | 18.5% | 10.6% | 44th of 346 | |
Average schooling, foreign-born | 11.6 yrs | 13.4 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. | -19,738 | -150,290 | 0 | 309th of 335 | |
Net internal migration per 100 residents · The balance above, over the population living in the territory. | -19.5 | -2.5 | 0.0 | 224th of 335 |
Education
See all →How far schooling went
| Indicator | Value | Against its peers | Province | Chile | Rank |
|---|---|---|---|---|---|
Average years of schooling | 10.0 yrs | 11.2 yrs | 10.4 yrs | 83rd of 346 | |
Reached higher education | 23.9% | 38.6% | 31.1% | 121st of 346 | |
School attendance, ages 6-17 | 94.9% | 98.2% | 98.6% | 318th 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. | 52.3% | 54.9% | 55.6% | 205th 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. | 99.1% | 98.2% | 99.8% | 287th of 346 | |
Literacy rate | 97.9% | 98.7% | 97.8% | 96th of 346 | |
Reached secondary education | 44.5% | 34.9% | 36.7% | 18th of 346 | |
Primary education only | 24.2% | 19.1% | 24.1% | 279th of 346 | |
Never attended school | 2.68% | 2.55% | 3.01% | 298th 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. | 11.5 yrs | 13.1 yrs | 12.1 yrs | 100th of 346 | |
Average years of schooling, women · Same weight and same caveat as the figure for men. | 11.4 yrs | 12.8 yrs | 12.1 yrs | 119th of 346 | |
Illiteracy · People aged 15 or over who say they cannot read or write. | 2.09% | 1.25% | 2.18% | 250th of 345 | |
Households lacking schooling | 16.4% | 9.9% | 15.1% | 244th 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. | 539 | 57,776 | 217,565 | 96th of 331 | |
Leaves from technical-vocational school · Commercial, industrial, technical, agricultural and maritime tracks. | 59.7% | 31.5% | 33.9% | 60th 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% | 0.1% | 3.1% | 114th of 331 | |
Of those continuing, enters a university · The three destinations split the same total and add up to 100. | 54.3% | 70.6% | 67.2% | 249th of 331 | |
Of those continuing, enters a professional institute · The three destinations split the same total and add up to 100. | 38.3% | 21.9% | 19.7% | 12th of 331 | |
Of those continuing, enters a technical training centre · The three destinations split the same total and add up to 100. | 7.4% | 7.5% | 13.1% | 277th 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. | 0.7% | 1.3% | 13.0% | 308th 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. | 50.0% | 48.6% | 49.7% | 182nd 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.
539left secondary school in 2024
282enrolled in a first-year programme in 2025
52.3%continued immediately
54%of those, to a university
1%of those, outside their region
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
left secondary schoolenrolled the following year
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 Pedro Aguirre Cerda'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 Pedro Aguirre Cerda 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 | 14.0% | 9.3% | 10.6% | 90th of 346 | |
Public health insurance | 83.6% | 73.9% | 82.6% | 287th 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. | 72.1 | 87.1 | 82.5 | 152nd of 331 | |
In-hospital mortality, standardised ratio · Chile = 100, adjusting for this comuna's age and sex. | 100 | 100 | 100 | 125th of 331 |
See the other 21 indicators
| Indicator | Value | Against its peers | Province | Chile | Rank |
|---|---|---|---|---|---|
People with a disability | 13,420 | 499,371 | 1,950,388 | 44th of 346 | |
Average age, people with a disability | 58.8 yrs | 56.6 yrs | 56.4 yrs | 130th of 346 | |
Disability among 65+ | 46.6% | 43.7% | 43.0% | 142nd of 346 | |
Difficulty walking | 6.67% | 4.33% | 4.92% | 110th of 346 | |
Difficulty seeing | 6.43% | 3.83% | 4.58% | 92nd of 346 | |
Difficulty hearing | 2.79% | 1.87% | 2.16% | 127th of 346 | |
Difficulty concentrating | 3.33% | 2.50% | 2.70% | 73rd of 346 | |
Private health insurance | 8.7% | 22.4% | 13.2% | 67th of 335 | |
No health coverage | 3.54% | 1.80% | 1.98% | 59th of 335 | |
Sought care when ill · Of those who had an illness or accident in the last three months. | 94.4% | 91.7% | 92.1% | 145th of 332 | |
Households lacking health access | 6.7% | 5.8% | 6.0% | 108th of 335 | |
Hospital discharges · Episodes, not people: someone hospitalised three times counts three times. | 6,924 | 469,353 | 1,523,716 | 64th of 331 | |
Deaths during a hospital stay · Only those that happen in hospital; the rest do not go through this register. | 236 | 10,691 | 36,698 | 48th of 331 | |
In-hospital case fatality · Of every 100 hospital stays, how many end in death. | 3.41% | 2.28% | 2.41% | 102nd of 331 | |
Average length of stay · Bed-days over discharges, averaged after adding up. | 6.8 days | 6.0 days | 6.1 days | 136th of 331 | |
In-hospital deaths per 10,000 residents · Not age-adjusted, and therefore high where the population is older. | 24.6 | 19.9 | 19.9 | 82nd of 331 | |
Hospitalisation, standardised ratio · Chile = 100, adjusting for this comuna's age and sex. | 83 | 106 | 100 | 172nd of 331 | |
Cancer hospitalisations · Discharges with a malignant tumour (C00-C97) as the main diagnosis. Episodes, not people. | 371 | 28,659 | 89,723 | 66th of 330 | |
Share of hospitalisations that are for cancer · Of every 100 discharges in the comuna, how many are for a malignant tumour. | 5.4% | 6.1% | 5.9% | 186th of 330 | |
Cancer hospitalisations per 10,000 residents · Not age-adjusted: above all it compares how old the comuna is. | 38.6 | 53.2 | 48.6 | 184th 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. | 70 | 111 | 100 | 196th of 330 |
What people are hospitalised for
hover a tile for its count and its distance from Chile; click a group to open itSeven families of cause, grouped by PuroChile from the 22 ICD-10 chapters. The chapter is still the tile; the family is nothing but the sum of its chapters.
By tumour site
Órganos digestivosSangre y sistema linfáticoVías respiratoriasMamaGenitales femeninosTiroides y endocrinashover a tile for its count and its distance from Chile
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. | 21.8% | 12.4% | 17.3% | 144th of 335 | |
Average monthly pay · Reported net pay in UF divided by workers weighted by months worked. | 24.7 UF | 37.3 UF | 32.0 UF | 111th of 342 | |
Women's pay as share of men's · 100 means parity; below 100, women earn less per full-time-equivalent job. | 94.3% | 73.0% | 78.9% | 208th 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. | 56.1 | 104.3 | 85.6 | 304th 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. | 52.5% | 59.5% | 54.4% | 142nd of 345 | |
Census unemployment · Measured by the Census, not by Casen: the two ask differently. | 9.8% | 7.7% | 8.6% | 108th of 345 | |
Self-employed | 38.0% | 33.2% | 33.8% | 111th of 345 | |
Extreme poverty | 8.1% | 4.4% | 6.9% | 163rd of 335 | |
Multidimensional poverty · Households with deprivations in education, health, work, housing or networks. | 31.5% | 18.9% | 17.7% | 24th of 335 | |
Unemployment rate | 8.8% | 8.4% | 8.8% | 181st of 335 | |
Household income per capita · Chilean pesos per month, corrected total income. | CLP 621,322 | CLP 1,019,380 | CLP 783,124 | 104th 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. | 0.441 | 0.500 | 0.488 | 149th of 321 | |
Registered firms | 5,387 | 561,566 | 1,582,390 | 70th of 346 | |
Annual sales | 36,545,176 UF | 25,794,247,870 UF | 34,347,683,688 UF | 67th 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. | 16,803 | 5,253,940 | 9,699,164 | 87th of 346 | |
Sales per firm | 6,784 UF | 45,933 UF | 21,706 UF | 91st of 342 | |
Employees per firm · Workers weighted by months worked, so two half-year jobs are not counted as two positions. | 2.2 | 6.1 | 3.9 | 150th of 346 | |
Women among employees | 40.2% | 41.7% | 40.6% | 189th of 345 | |
Independent contractors | 6,215 | 2,467,408 | 3,958,269 | 74th of 346 | |
Contractors as share of workers | 27.0% | 32.0% | 29.0% | 174th of 346 |
Employment by industry
hover a tile for its count and its distance from Chile; click a group to open itSix activity families, grouped by PuroChile from CAENES.
Employment by occupation
Elementary occupationsArmed forceshover a tile for its count and its distance from Chile; click a group to open itCIUO-08 (ISCO) skill levels.
Housing and services
See all →House or flat
| Indicator | Value | Against its peers | Province | Chile | Rank |
|---|---|---|---|---|---|
Overcrowded dwellings | 8.1% | 6.7% | 5.7% | 32nd of 345 | |
Internet access | 92.3% | 95.9% | 93.2% | 110th 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. | 0.7 | 1.0 | 2.3 | 340th 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. | 0.5 | 0.5 | 1.6 | 328th of 345 |
See the other 35 indicators
| Indicator | Value | Against its peers | Province | Chile | Rank |
|---|---|---|---|---|---|
Occupied dwellings with residents | 29,716 | 1,868,711 | 6,408,172 | 65th of 346 | |
Critically overcrowded | 0.77% | 0.93% | 0.57% | 34th of 345 | |
Irrecoverable dwellings | 0.48% | 0.51% | 1.13% | 315th of 345 | |
Public water network | 99.8% | 99.6% | 92.3% | 17th of 345 | |
Electricity access | 99.9% | 99.9% | 99.6% | 24th of 345 | |
Detached houses | 84.6% | 55.8% | 78.7% | 295th of 345 | |
Apartments | 14.1% | 42.0% | 19.9% | 52nd of 345 | |
Precarious wall materials | 0.20% | 0.09% | 0.23% | 205th of 345 | |
Unoccupied private dwellings | 2.2% | 5.2% | 11.9% | 339th of 345 | |
Quantitative housing deficit | 4,527 | 193,039 | 491,904 | 36th of 345 | |
Housing deficit as share of households | 14.0% | 9.9% | 7.5% | 29th of 345 | |
Renting households | 25.9% | 37.8% | 26.2% | 54th of 345 | |
Owner-occupiers | 51.2% | 51.5% | 61.1% | 313th of 345 | |
Households heating with wood · Firewood is the main source of urban air pollution in the south. | 0.2% | 0.2% | 24.4% | 320th of 345 | |
Commute by public transport | 56.7% | 54.0% | 42.1% | 19th of 345 | |
Walks to work | 10.5% | 8.4% | 10.2% | 237th of 345 | |
Households with a computer | 47.9% | 62.8% | 54.9% | 114th 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. | 0.4 | 0.5 | 1.1 | 335th 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. | 100.0% | 100.0% | 97.0% | 1st 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. | 100.0% | 100.0% | 99.9% | 1st 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% | 100.0% | 100.0% | 1st 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. | 100.0% | 99.6% | 89.4% | 1st 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. | 100.0% | 100.0% | 98.1% | 1st 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. | 100.0% | 100.0% | 99.7% | 1st 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. | 0.9 | 1.0 | 5.9 | 327th 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. | 100.0% | 99.7% | 80.3% | 1st 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. | 100.0% | 100.0% | 90.0% | 1st 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. | 100.0% | 100.0% | 96.2% | 1st 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. | 0.2 | 0.3 | 0.6 | 331st 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. | 100.0% | 100.0% | 99.0% | 1st 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. | 100.0% | 100.0% | 99.9% | 1st 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% | 100.0% | 100.0% | 1st 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. | 100.0% | 100.0% | 91.6% | 1st 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. | 100.0% | 100.0% | 98.5% | 1st 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. | 100.0% | 100.0% | 99.8% | 1st of 345 |
How people commute
Public transporthover a tile for its count and its distance from Chile; click a group to open itFour modes, grouped by PuroChile.
Housing tenure
Otherhover a tile for its count and its distance from Chile; click a group to open itFour tenure types, grouped by PuroChile.
Home heating fuel
No heatingElectricityOther sourcehover a tile for its count and its distance from Chile; click a group to open itFour fuel types, grouped by PuroChile.
How it voted in 2025
TRICEL · qualified result87.3%
of the registered voted in the first round
87.2%
voted in the runoff
86,372
registered voters on the roll
5.9%
of runoff ballots were null or blank
Presidential runoff · 14 December
Jeannette Jara Roman58.7%41.7%
Jose Antonio Kast Rist41.3%58.3%
Presidential, first round · 16 November
Franco Parisi Fernandez15.0%19.8%
Jeannette Jara Roman41.9%26.7%
Marco Antonio Enriquez-Ominami Gumucio1.5%1.2%
Johannes Kaiser Barents-Von Hohenhagen11.7%13.9%
Jose Antonio Kast Rist16.8%24.0%
Eduardo Antonio Artes Brichetti1.0%0.7%
Evelyn Matthei Fornet10.6%12.4%
Harold Mayne-Nicholls Secul1.5%1.3%
Chamber of Deputies · 16 November
CUnidad por Chile38.8%30.6%
KCambio por Chile20.9%23.0%
JChile Grande y Unido11.9%21.1%
IPartido de la Gente11.3%12.0%
BVerdes, Regionalistas y Humanistas5.0%6.9%
DIzquierda Ecologista Popular Animalista y Humanista6.2%2.6%
APartido Ecologista Verde—0.8%
EMovimiento Amarillos por Chile—0.8%
GPartido Alianza Verde Popular1.7%0.6%
FPartido de Trabajadores Revolucionarios4.2%0.6%
HPopular—0.2%
Independents outside a pact—0.7%
Sister communes
How this is computedThe four communes that most resemble Pedro Aguirre Cerda 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.
La Granja0.38Metropolitana · 112,022 peopleAlike in Scale; apart in Health.San Ramón0.41Metropolitana · 76,002 peopleAlike in Scale; apart in Education.Lo Prado0.42Metropolitana · 91,290 peopleAlike in Education; apart in Economy.El Bosque0.45Metropolitana · 155,257 peopleAlike in Housing and services; apart in Population structure.
ScalePopulation structureMigrationEducationHealthEconomyHousing and services
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.
Inside the commune
Census districtsLoading