{ "annotations": [ { "date": "2018-07", "description": { "en": "Violent nationwide protests after IMF-required fuel-subsidy cut; dozens killed. PM resignation." }, "id": "2018_pep_riots", "label": { "en": "July 2018 fuel-price riots", "fr": "\u00c9meutes du carburant (juil. 2018)", "ht": "Pwotestasyon kont pri gaz (jiy\u00e8 2018)" }, "type": "political" }, { "date": "2020-03", "description": { "en": "Schools closed, borders shut, economic activity contracted sharply." }, "id": "2020_covid", "label": { "en": "COVID-19 state of emergency", "fr": "Urgence sanitaire COVID-19", "ht": "Eta ijans COVID-19" }, "type": "health" }, { "date": "2021-07", "description": { "en": "July 7, 2021. Acute constitutional vacuum, gang expansion, capital-flight." }, "id": "2021_moise_assassination", "label": { "en": "President Mo\u00efse assassinated", "fr": "Assassinat du pr\u00e9sident Mo\u00efse", "ht": "Prezidan Mo\u00efse asasine" }, "type": "political" }, { "date": "2022-09", "description": { "en": "Blocked fuel terminals; humanitarian emergency; PM Henry announces subsidy removal." }, "id": "2022_fuel_subsidy_crisis", "label": { "en": "Sept 2022 fuel crisis", "fr": "Crise du carburant (sept. 2022)", "ht": "Kriz gaz (sept. 2022)" }, "type": "political" }, { "date": "2024-03", "description": { "en": "Prison breaks, coordinated gang attacks force PM Henry's resignation; CARICOM-led transitional council." }, "id": "2024_state_of_emergency", "label": { "en": "March 2024 state of emergency", "fr": "\u00c9tat d'urgence (mars 2024)", "ht": "Eta ijans (mas 2024)" }, "type": "political" } ], "default_view": { "frequency": "A", "measure": "URB_SHARE" }, "description": { "en": "**How much of Haiti lives in cities, how fast that share is rising, and what\nurban residents get in return.** Eleven measures on one annual spine:\n\n- **Urban population** and **urban population share** (1960-2025). Haiti\n crossed the halfway mark around 2018 and is about **56% urban** in 2025,\n up from 15% in 1960.\n- **Urban population growth**, which runs well above total population growth\n because it also absorbs rural-to-urban migration and the reclassification of\n settlements as urban.\n- **Population living in slums** as a share of the urban population (SDG\n 11.1.1), the single closest measure of informal-settlement pressure.\n- **Urban access to electricity, drinking water, basic sanitation, and a\n handwashing facility**, each as a share of the *urban* population, not of\n the country.\n\n**SOURCE AND AUTHORITY NOTE.** The national authority on Haiti's population is\nIHSI. IHSI's urban/rural split is not yet extracted into this platform, so the\nseries here come from the World Bank WDI, which carries the UN World\nUrbanization Prospects estimates (themselves built on IHSI's own urban\ndefinition and census benchmarks) and the WHO/UNICEF JMP service ladders.\nTreat the levels as internationally harmonised estimates rather than IHSI\npublications, and label them \"WDI/UN WUP estimate\" in prose. Haiti's last full\ncensus was 2003, so every post-2003 figure is a projection off that benchmark.\n\n**What the access measures do NOT say.** \"Access to electricity\" counts a\nconnection, not supply: a Port-au-Prince household connected to an EDH grid\nthat delivers a few hours a day is counted as having access. The urban access\nshares also mask the gap between planned neighbourhoods and informal ones,\nwhich no national annual series currently separates.\n\n**Urban primacy: three further measures.** Port-au-Prince holds\n**3.13 million people** in 2025, **47% of the urban population** and **26% of\nthe country**. The primacy share has fallen from 68% in 1990 even as the city\ntripled in size, because secondary towns grew faster and settlements were\nreclassified as urban. Two cautions on these measures. The agglomeration\nboundary is the UN's, drawn to capture the built-up area, and does not\ncorrespond to any Haitian administrative unit, so the figure is not the\npopulation of the commune of Port-au-Prince or of the Ouest department. And\nHaiti has exactly one agglomeration above a million, so AGGLOM_1M_SHARE tracks\nPort-au-Prince against the national population rather than describing a\ndistribution of large cities: it differs from LARGEST_CITY_SHARE only in\ntaking the whole country as its denominator instead of the urban population.\n", "fr": "**Part de la population ha\u00eftienne vivant en ville, rythme de l'urbanisation\net services re\u00e7us par les citadins.** Population urbaine et part urbaine\n(1960-2025, environ 56 % en 2025), croissance urbaine, population en\nquartiers pr\u00e9caires (ODD 11.1.1), et acc\u00e8s urbain \u00e0 l'\u00e9lectricit\u00e9, \u00e0 l'eau\npotable, \u00e0 l'assainissement et au lavage des mains. Source: Banque mondiale\nWDI (Perspectives de l'urbanisation mondiale de l'ONU; \u00e9chelles JMP\nOMS/UNICEF). L'IHSI reste l'autorit\u00e9 nationale; sa ventilation urbain/rural\nn'est pas encore int\u00e9gr\u00e9e ici.\n", "ht": "**Konbyen Ayisyen k ap viv nan vil, ki vit\u00e8s sa ap monte, ak ki s\u00e8vis moun\nnan vil resevwa.** Popilasyon iben ak p\u00f2syon iben (1960-2025, anviwon 56%\nan 2025), kwasans iben, popilasyon nan katye prek\u00e8 (ODD 11.1.1), ak aks\u00e8\niben ak elektrisite, dlo potab, asenisman ak lave men. Sous: Bank Mondyal\nWDI (Pespektiv Ibanizasyon Mondyal ONI; ech\u00e8l JMP OMS/UNICEF). IHSI rete\notorite nasyonal la; separasyon iben/riral li a poko entegre isit la.\n" }, "dim_labels": { "area_type": { "en": "Geographic coverage" }, "measure": { "en": "Measure" } }, "document_series": [], "domain": "context", "downloadable": true, "facets": { "adjustment": [ "NSA" ], "area_type": [ "NATIONAL" ], "component": [ "ALL" ], "frequency": [ "A" ], "measure": [ "AGGLOM_1M_SHARE", "ELEC_URBAN", "HYGIENE_URBAN", "LARGEST_CITY_POP", "LARGEST_CITY_SHARE", "SANIT_URBAN", "SLUM_SHARE", "URB_GROWTH", "URB_POP", "URB_SHARE", "WATER_URBAN" ] }, "indicator_id": "urbanization", "labels": { "area_type": { "NATIONAL": { "description": "Country-wide total.", "en": "National", "fr": "National", "ht": "Nasyonal" } }, "frequency": { "A": { "en": "Annual", "fr": "Annuel", "ht": "Chak ane" } }, "measure": { "AGGLOM_1M_SHARE": { "description": "Residents of urban agglomerations of more than one million as a percent of the total population. Haiti has exactly one such agglomeration, so this tracks Port-au-Prince against the national population rather than describing a distribution of large cities. It differs from LARGEST_CITY_SHARE only in its denominator, which is the whole country rather than the urban population.\n", "description_fr": "R\u00e9sidents des agglom\u00e9rations urbaines de plus d'un million d'habitants, en pourcentage de la population totale. Ha\u00efti ne compte qu'une seule agglom\u00e9ration de cette taille: la mesure suit donc Port-au-Prince rapport\u00e9 \u00e0 la population nationale et ne d\u00e9crit pas une r\u00e9partition entre grandes villes. Elle ne diff\u00e8re de LARGEST_CITY_SHARE que par son d\u00e9nominateur, le pays entier au lieu de la population urbaine.", "description_ht": "Moun k ap viv nan aglomerasyon iben ki gen plis pase yon milyon, an pousantaj popilasyon total la. Ayiti gen yon s\u00e8l aglomerasyon konsa: kidonk mezi a swiv P\u00f2toprens parap\u00f2 ak popilasyon nasyonal la, li pa dekri yon repartisyon ant gwo vil. Li diferan de LARGEST_CITY_SHARE s\u00e8lman nan denominat\u00e8 li, tout peyi a olye popilasyon iben an.", "en": "Agglomerations over 1 million, share of total population", "fr": "Agglom\u00e9rations de plus d'un million, part de la population totale", "ht": "Aglomerasyon plis pase yon milyon, p\u00f2syon popilasyon total" }, "ELEC_URBAN": { "description": "Urban population with access to electricity, as a percent of the urban population. Access here means a connection, not reliable supply.\n", "description_fr": "Population urbaine ayant acc\u00e8s \u00e0 l'\u00e9lectricit\u00e9, en pourcentage de la population urbaine. L'acc\u00e8s d\u00e9signe un raccordement, non une fourniture fiable.", "description_ht": "Popilasyon iben ki gen aks\u00e8 ak elektrisite, an pousantaj popilasyon iben an. Aks\u00e8 vle di yon koneksyon, pa yon s\u00e8vis ki fyab.", "en": "Access to electricity, urban", "fr": "Acc\u00e8s \u00e0 l'\u00e9lectricit\u00e9, urbain", "ht": "Aks\u00e8 ak elektrisite, iben" }, "HYGIENE_URBAN": { "description": "Urban population with a basic handwashing facility with soap and water at home, as a percent of the urban population (WHO/UNICEF JMP).\n", "description_fr": "Population urbaine disposant \u00e0 domicile d'une installation \u00e9l\u00e9mentaire de lavage des mains avec eau et savon, en pourcentage de la population urbaine (JMP OMS/UNICEF).", "description_ht": "Popilasyon iben ki gen lakay yo yon enstalasyon debaz pou lave men ak dlo ak savon, an pousantaj popilasyon iben an (JMP OMS/UNICEF).", "en": "Basic handwashing facility, urban", "fr": "Installation de lavage des mains, urbain", "ht": "Enstalasyon lave men, iben" }, "LARGEST_CITY_POP": { "description": "People living in the country's largest city, as counted by the UN World Urbanization Prospects. For Haiti this is the Port-au-Prince agglomeration, whose boundary is the UN's and not a Haitian administrative one.\n", "description_fr": "Personnes vivant dans la plus grande ville du pays, selon les Perspectives de l'urbanisation mondiale de l'ONU. Pour Ha\u00efti il s'agit de l'agglom\u00e9ration de Port-au-Prince, dont le p\u00e9rim\u00e8tre est celui de l'ONU et non un d\u00e9coupage administratif ha\u00eftien.", "description_ht": "Moun k ap viv nan pi gwo vil peyi a, dapre Pespektiv Ibanizasyon Mondyal ONI. Pou Ayiti se aglomerasyon P\u00f2toprens, ki gen yon limit ONI mete e non yon dekoupaj administratif ayisyen.", "en": "Population in the largest city", "fr": "Population de la plus grande ville", "ht": "Popilasyon pi gwo vil la" }, "LARGEST_CITY_SHARE": { "description": "The largest city as a percent of the urban population, the standard measure of urban primacy. Haiti's figure fell from 68% in 1990 to about 47% in 2025, not because Port-au-Prince shrank but because secondary towns grew and were reclassified as urban.\n", "description_fr": "La plus grande ville en pourcentage de la population urbaine, mesure standard de la primatie urbaine. Le chiffre ha\u00eftien est pass\u00e9 de 68 % en 1990 \u00e0 environ 47 % en 2025, non parce que Port-au-Prince a d\u00e9cru mais parce que les villes secondaires ont grandi et ont \u00e9t\u00e9 reclass\u00e9es en urbain.", "description_ht": "Pi gwo vil la an pousantaj popilasyon iben an, mezi estanda primasi iben. Chif Ayiti a soti 68% an 1990 rive b\u00f2 47% an 2025, se pa paske P\u00f2toprens vin pi piti men paske vil segond\u00e8 yo grandi epi yo rklase yo k\u00f2m iben.", "en": "Largest city share of urban population", "fr": "Part de la plus grande ville dans la population urbaine", "ht": "P\u00f2syon pi gwo vil la nan popilasyon iben" }, "SANIT_URBAN": { "description": "Urban population using at least a basic sanitation service, as a percent of the urban population (WHO/UNICEF JMP ladder).\n", "description_fr": "Population urbaine utilisant au moins un service \u00e9l\u00e9mentaire d'assainissement, en pourcentage de la population urbaine (\u00e9chelle JMP OMS/UNICEF).", "description_ht": "Popilasyon iben k ap s\u00e8vi ak omwen yon s\u00e8vis asenisman debaz, an pousantaj popilasyon iben an (ech\u00e8l JMP OMS/UNICEF).", "en": "At least basic sanitation, urban", "fr": "Assainissement au moins \u00e9l\u00e9mentaire, urbain", "ht": "Asenisman omwen debaz, iben" }, "SLUM_SHARE": { "description": "Urban residents living in slum households as a percent of the urban population (SDG indicator 11.1.1). A slum household lacks at least one of durable housing, sufficient living area, access to improved water, access to improved sanitation, or secure tenure.\n", "description_fr": "R\u00e9sidents urbains vivant dans des m\u00e9nages de quartiers pr\u00e9caires en pourcentage de la population urbaine (indicateur ODD 11.1.1). Un tel m\u00e9nage manque d'au moins un \u00e9l\u00e9ment parmi logement durable, surface suffisante, eau am\u00e9lior\u00e9e, assainissement am\u00e9lior\u00e9 ou s\u00e9curit\u00e9 d'occupation.", "description_ht": "Moun nan vil k ap viv nan kay katye prek\u00e8 an pousantaj popilasyon iben an (endikat\u00e8 ODD 11.1.1). Yon kay konsa manke omwen youn nan: kay solid, ase espas, dlo amelyore, asenisman amelyore oswa sekirite t\u00e8.", "en": "Population in slums", "fr": "Population en quartiers pr\u00e9caires", "ht": "Popilasyon nan katye prek\u00e8" }, "URB_GROWTH": { "description": "Annual percent change in the urban population. It combines natural increase, rural-to-urban migration, and the reclassification of areas as urban, and so runs well above total population growth while a country urbanizes.\n", "description_fr": "Variation annuelle en pourcentage de la population urbaine, combinant accroissement naturel, migration rurale-urbaine et reclassement de zones en urbain.", "description_ht": "Chanjman any\u00e8l an pousantaj nan popilasyon iben an, ki konbine ogmantasyon natir\u00e8l, migrasyon riral-iben ak rklasman z\u00f2n k\u00f2m iben.", "en": "Urban population growth", "fr": "Croissance de la population urbaine", "ht": "Kwasans popilasyon iben" }, "URB_POP": { "description": "People living in areas classified as urban by the national statistical office, as reported to the UN World Urbanization Prospects.\n", "description_fr": "Personnes vivant dans des zones class\u00e9es urbaines par l'institut national de statistique, telles que rapport\u00e9es aux Perspectives de l'urbanisation mondiale de l'ONU.", "description_ht": "Moun k ap viv nan z\u00f2n yo klase k\u00f2m iben pa enstiti estatistik nasyonal la, jan yo rap\u00f2te l bay Pespektiv Ibanizasyon Mondyal ONI a.", "en": "Urban population", "fr": "Population urbaine", "ht": "Popilasyon iben" }, "URB_SHARE": { "description": "Urban residents as a percent of the total population, the headline urbanization rate.\n", "description_fr": "R\u00e9sidents urbains en pourcentage de la population totale, le taux d'urbanisation de r\u00e9f\u00e9rence.", "description_ht": "Moun ki abite nan vil an pousantaj popilasyon total la, to ibanizasyon prensipal la.", "en": "Urban population share", "fr": "Part de la population urbaine", "ht": "P\u00f2syon popilasyon iben" }, "WATER_URBAN": { "description": "Urban population using at least a basic drinking-water service, as a percent of the urban population (WHO/UNICEF JMP ladder).\n", "description_fr": "Population urbaine utilisant au moins un service \u00e9l\u00e9mentaire d'eau potable, en pourcentage de la population urbaine (\u00e9chelle JMP OMS/UNICEF).", "description_ht": "Popilasyon iben k ap s\u00e8vi ak omwen yon s\u00e8vis dlo potab debaz, an pousantaj popilasyon iben an (ech\u00e8l JMP OMS/UNICEF).", "en": "At least basic drinking water, urban", "fr": "Eau potable au moins \u00e9l\u00e9mentaire, urbain", "ht": "Dlo potab omwen debaz, iben" } } }, "name": { "en": "Urbanization and urban service access", "fr": "Urbanisation et acc\u00e8s aux services urbains", "ht": "Ibanizasyon ak aks\u00e8 ak s\u00e8vis iben" }, "observations": [ { "area_type": "NATIONAL", "component": "ALL", "frequency": "A", "measure": "URB_POP", "period": "2025", "source_id": "wb_wdi", "status": "observed", "value": 6621561.0, "vintage_date": "2026-07-27" }, { "area_type": "NATIONAL", "component": "ALL", "frequency": "A", "measure": "ELEC_URBAN", "period": "2024", "source_id": "wb_wdi", "status": "observed", "value": 85.6, "vintage_date": "2026-07-27" }, { "area_type": "NATIONAL", "component": "ALL", "frequency": "A", "measure": "SLUM_SHARE", "period": "2000", "source_id": "wb_wdi", "status": "observed", "value": 61.2833, "vintage_date": "2026-07-27" }, { "area_type": "NATIONAL", "component": "ALL", "frequency": "A", "measure": "SLUM_SHARE", "period": "2002", "source_id": "wb_wdi", "status": "observed", "value": 59.97767, "vintage_date": "2026-07-27" }, { "area_type": "NATIONAL", "component": "ALL", "frequency": "A", "measure": "SLUM_SHARE", "period": "2004", "source_id": "wb_wdi", "status": "observed", "value": 58.67204, "vintage_date": "2026-07-27" }, { "area_type": "NATIONAL", "component": "ALL", "frequency": "A", "measure": "SLUM_SHARE", "period": "2006", "source_id": "wb_wdi", "status": "observed", "value": 57.36641, "vintage_date": "2026-07-27" }, { "area_type": "NATIONAL", "component": "ALL", "frequency": "A", "measure": "SLUM_SHARE", "period": "2008", "source_id": "wb_wdi", "status": "observed", "value": 56.06078, "vintage_date": "2026-07-27" }, { "area_type": "NATIONAL", "component": "ALL", "frequency": "A", "measure": "SLUM_SHARE", "period": "2010", "source_id": "wb_wdi", "status": "observed", "value": 54.75515, "vintage_date": "2026-07-27" }, { "area_type": "NATIONAL", "component": "ALL", "frequency": "A", "measure": "SLUM_SHARE", "period": "2012", "source_id": "wb_wdi", "status": "observed", "value": 53.44951, "vintage_date": "2026-07-27" }, { "area_type": "NATIONAL", "component": "ALL", "frequency": "A", "measure": "SLUM_SHARE", "period": "2014", "source_id": "wb_wdi", "status": "observed", "value": 52.14388, "vintage_date": "2026-07-27" }, { "area_type": "NATIONAL", "component": "ALL", "frequency": "A", "measure": "SLUM_SHARE", "period": "2016", "source_id": "wb_wdi", "status": "observed", "value": 50.83825, "vintage_date": "2026-07-27" }, { "area_type": "NATIONAL", "component": "ALL", "frequency": "A", "measure": "SLUM_SHARE", "period": "2018", "source_id": "wb_wdi", "status": "observed", "value": 49.53262, "vintage_date": "2026-07-27" }, { "area_type": "NATIONAL", "component": "ALL", "frequency": "A", "measure": "SLUM_SHARE", "period": "2020", "source_id": "wb_wdi", "status": "observed", "value": 48.9, "vintage_date": "2026-07-27" }, { "area_type": "NATIONAL", "component": "ALL", "frequency": "A", "measure": "SLUM_SHARE", "period": "2022", "source_id": "wb_wdi", "status": "observed", "value": 51.05915, "vintage_date": "2026-07-27" }, { "area_type": "NATIONAL", "component": "ALL", "frequency": "A", "measure": "URB_GROWTH", "period": "1961", "source_id": "wb_wdi", "status": "observed", "value": 4.19507541073338, "vintage_date": "2026-07-27" }, { "area_type": "NATIONAL", "component": "ALL", "frequency": "A", "measure": "URB_GROWTH", "period": "1962", "source_id": "wb_wdi", "status": "observed", "value": 4.20632232376767, "vintage_date": "2026-07-27" }, { "area_type": "NATIONAL", "component": "ALL", "frequency": "A", "measure": "ELEC_URBAN", "period": "2023", "source_id": "wb_wdi", "status": "observed", "value": 84.0, "vintage_date": "2026-07-27" }, { "area_type": "NATIONAL", "component": "ALL", "frequency": "A", "measure": "URB_GROWTH", "period": "1963", "source_id": "wb_wdi", "status": "observed", "value": 4.14189880695554, "vintage_date": "2026-07-27" }, { "area_type": "NATIONAL", "component": "ALL", "frequency": "A", "measure": "ELEC_URBAN", "period": "2022", "source_id": "wb_wdi", "status": "observed", "value": 83.0, "vintage_date": "2026-07-27" }, { "area_type": "NATIONAL", "component": "ALL", "frequency": "A", "measure": "ELEC_URBAN", "period": "2020", "source_id": "wb_wdi", "status": "observed", "value": 80.9, "vintage_date": "2026-07-27" }, { "area_type": "NATIONAL", "component": "ALL", "frequency": "A", "measure": "ELEC_URBAN", "period": "2005", "source_id": "wb_wdi", "status": "observed", "value": 69.9, "vintage_date": "2026-07-27" }, { "area_type": "NATIONAL", "component": "ALL", "frequency": "A", "measure": "ELEC_URBAN", "period": "2006", "source_id": "wb_wdi", "status": "observed", "value": 68.9, "vintage_date": "2026-07-27" }, { "area_type": "NATIONAL", "component": "ALL", "frequency": "A", "measure": "ELEC_URBAN", "period": "2007", "source_id": "wb_wdi", "status": "observed", "value": 70.2, "vintage_date": "2026-07-27" }, { "area_type": "NATIONAL", "component": "ALL", "frequency": "A", "measure": "ELEC_URBAN", "period": "2008", "source_id": "wb_wdi", "status": "observed", "value": 70.4, "vintage_date": "2026-07-27" }, { "area_type": "NATIONAL", "component": "ALL", "frequency": "A", "measure": "ELEC_URBAN", "period": "2009", "source_id": "wb_wdi", "status": "observed", "value": 70.6, "vintage_date": "2026-07-27" }, { "area_type": "NATIONAL", "component": "ALL", "frequency": "A", "measure": "ELEC_URBAN", "period": "2010", "source_id": "wb_wdi", "status": "observed", "value": 70.9, "vintage_date": "2026-07-27" }, { "area_type": "NATIONAL", "component": "ALL", "frequency": "A", "measure": "ELEC_URBAN", "period": "2011", "source_id": "wb_wdi", "status": "observed", "value": 71.5, "vintage_date": "2026-07-27" }, { "area_type": "NATIONAL", "component": "ALL", "frequency": "A", "measure": "ELEC_URBAN", "period": "2012", "source_id": "wb_wdi", "status": "observed", "value": 72.6, "vintage_date": "2026-07-27" }, { "area_type": "NATIONAL", "component": "ALL", "frequency": "A", "measure": "ELEC_URBAN", "period": "2013", "source_id": "wb_wdi", "status": "observed", "value": 73.8, "vintage_date": "2026-07-27" }, { "area_type": "NATIONAL", "component": "ALL", "frequency": "A", "measure": "ELEC_URBAN", "period": "2014", "source_id": "wb_wdi", "status": "observed", "value": 74.8, "vintage_date": "2026-07-27" }, { "area_type": "NATIONAL", "component": "ALL", "frequency": "A", "measure": "ELEC_URBAN", "period": "2015", "source_id": "wb_wdi", "status": "observed", "value": 75.8, "vintage_date": "2026-07-27" }, { "area_type": "NATIONAL", "component": "ALL", "frequency": "A", "measure": "ELEC_URBAN", "period": "2016", "source_id": "wb_wdi", "status": "observed", "value": 76.4, "vintage_date": "2026-07-27" }, { "area_type": "NATIONAL", "component": "ALL", "frequency": "A", "measure": "ELEC_URBAN", "period": "2017", "source_id": "wb_wdi", "status": "observed", "value": 77.9, "vintage_date": "2026-07-27" }, { "area_type": "NATIONAL", "component": "ALL", "frequency": "A", "measure": "ELEC_URBAN", "period": "2018", "source_id": "wb_wdi", "status": "observed", "value": 78.9, "vintage_date": "2026-07-27" }, { "area_type": "NATIONAL", "component": "ALL", "frequency": "A", "measure": "ELEC_URBAN", "period": "2019", "source_id": "wb_wdi", "status": "observed", "value": 79.9, "vintage_date": "2026-07-27" }, { "area_type": "NATIONAL", "component": "ALL", "frequency": "A", "measure": "ELEC_URBAN", "period": "2021", "source_id": "wb_wdi", "status": "observed", "value": 81.8, "vintage_date": "2026-07-27" }, { "area_type": "NATIONAL", "component": "ALL", "frequency": "A", "measure": "URB_GROWTH", "period": "1964", "source_id": "wb_wdi", "status": "observed", 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"wb_wdi", "status": "observed", "value": 60.1037753013418, "vintage_date": "2026-08-11" }, { "area_type": "NATIONAL", "component": "ALL", "frequency": "A", "measure": "LARGEST_CITY_SHARE", "period": "2008", "source_id": "wb_wdi", "status": "observed", "value": 59.0788581105339, "vintage_date": "2026-08-11" }, { "area_type": "NATIONAL", "component": "ALL", "frequency": "A", "measure": "LARGEST_CITY_SHARE", "period": "2007", "source_id": "wb_wdi", "status": "observed", "value": 58.0909852932188, "vintage_date": "2026-08-11" }, { "area_type": "NATIONAL", "component": "ALL", "frequency": "A", "measure": "LARGEST_CITY_SHARE", "period": "2006", "source_id": "wb_wdi", "status": "observed", "value": 57.1545131595175, "vintage_date": "2026-08-11" }, { "area_type": "NATIONAL", "component": "ALL", "frequency": "A", "measure": "LARGEST_CITY_SHARE", "period": "2005", "source_id": "wb_wdi", "status": "observed", "value": 56.259850734083, "vintage_date": "2026-08-11" }, { "area_type": "NATIONAL", "component": "ALL", "frequency": "A", "measure": "LARGEST_CITY_SHARE", "period": "2004", "source_id": "wb_wdi", "status": "observed", "value": 55.3919584601389, "vintage_date": "2026-08-11" }, { "area_type": "NATIONAL", "component": "ALL", "frequency": "A", "measure": "LARGEST_CITY_SHARE", "period": "2003", "source_id": "wb_wdi", "status": "observed", "value": 54.5018079049084, "vintage_date": "2026-08-11" }, { "area_type": "NATIONAL", "component": "ALL", "frequency": "A", "measure": "LARGEST_CITY_SHARE", "period": "2002", "source_id": "wb_wdi", "status": "observed", "value": 54.3873931820804, "vintage_date": "2026-08-11" }, { "area_type": "NATIONAL", "component": "ALL", "frequency": "A", "measure": "LARGEST_CITY_SHARE", "period": "2001", "source_id": "wb_wdi", "status": "observed", "value": 54.8390336504529, "vintage_date": "2026-08-11" }, { "area_type": "NATIONAL", "component": "ALL", "frequency": "A", "measure": "LARGEST_CITY_SHARE", "period": "2000", "source_id": "wb_wdi", "status": "observed", "value": 55.3610698569542, "vintage_date": "2026-08-11" }, { "area_type": "NATIONAL", "component": "ALL", "frequency": "A", "measure": "LARGEST_CITY_SHARE", "period": "1999", "source_id": "wb_wdi", "status": "observed", "value": 55.9252057279922, "vintage_date": "2026-08-11" }, { "area_type": "NATIONAL", "component": "ALL", "frequency": "A", "measure": "LARGEST_CITY_SHARE", "period": "1998", "source_id": "wb_wdi", "status": "observed", "value": 57.8919742384785, "vintage_date": "2026-08-11" }, { "area_type": "NATIONAL", "component": "ALL", "frequency": "A", "measure": "LARGEST_CITY_SHARE", "period": "1997", "source_id": "wb_wdi", "status": "observed", "value": 59.9553490210347, "vintage_date": "2026-08-11" }, { "area_type": "NATIONAL", "component": "ALL", "frequency": "A", "measure": "LARGEST_CITY_SHARE", "period": "1996", "source_id": "wb_wdi", "status": "observed", "value": 62.1129840903766, "vintage_date": "2026-08-11" }, { "area_type": "NATIONAL", "component": "ALL", "frequency": "A", "measure": "LARGEST_CITY_SHARE", "period": "2017", "source_id": "wb_wdi", "status": "observed", "value": 46.8074922422704, "vintage_date": "2026-08-11" }, { "area_type": "NATIONAL", "component": "ALL", "frequency": "A", "measure": "LARGEST_CITY_POP", "period": "1977", "source_id": "wb_wdi", "status": "observed", "value": 622146.0, "vintage_date": "2026-08-11" }, { "area_type": "NATIONAL", "component": "ALL", "frequency": "A", "measure": "LARGEST_CITY_SHARE", "period": "2018", "source_id": "wb_wdi", "status": "observed", "value": 46.8183395236636, "vintage_date": "2026-08-11" }, { "area_type": "NATIONAL", "component": "ALL", "frequency": "A", "measure": "LARGEST_CITY_SHARE", "period": "2020", "source_id": "wb_wdi", "status": "observed", "value": 46.8686002601339, "vintage_date": "2026-08-11" }, { "area_type": "NATIONAL", "component": "ALL", "frequency": "A", "measure": "LARGEST_CITY_POP", "period": "1975", "source_id": "wb_wdi", "status": "observed", "value": 574813.0, "vintage_date": "2026-08-11" }, { "area_type": "NATIONAL", "component": "ALL", "frequency": "A", "measure": "LARGEST_CITY_POP", "period": "1974", "source_id": "wb_wdi", "status": "observed", "value": 552515.0, "vintage_date": "2026-08-11" }, { "area_type": "NATIONAL", "component": "ALL", "frequency": "A", "measure": "LARGEST_CITY_POP", "period": "1973", "source_id": "wb_wdi", "status": "observed", "value": 531082.0, "vintage_date": "2026-08-11" }, { "area_type": "NATIONAL", "component": "ALL", "frequency": "A", "measure": "LARGEST_CITY_POP", "period": "1972", "source_id": "wb_wdi", "status": "observed", "value": 510507.0, "vintage_date": "2026-08-11" }, { "area_type": "NATIONAL", "component": "ALL", "frequency": "A", "measure": "LARGEST_CITY_POP", "period": "1971", "source_id": "wb_wdi", "status": "observed", "value": 488850.0, "vintage_date": "2026-08-11" }, { "area_type": "NATIONAL", "component": "ALL", "frequency": "A", "measure": "LARGEST_CITY_POP", "period": "1970", "source_id": "wb_wdi", "status": "observed", "value": 459514.0, "vintage_date": "2026-08-11" }, { "area_type": "NATIONAL", "component": "ALL", "frequency": "A", "measure": "LARGEST_CITY_POP", "period": "1969", "source_id": "wb_wdi", "status": "observed", "value": 431938.0, "vintage_date": "2026-08-11" }, { "area_type": "NATIONAL", "component": "ALL", "frequency": "A", "measure": "LARGEST_CITY_POP", "period": "1968", "source_id": "wb_wdi", "status": "observed", "value": 406052.0, "vintage_date": "2026-08-11" }, { "area_type": "NATIONAL", "component": "ALL", "frequency": "A", "measure": "LARGEST_CITY_POP", "period": "1967", "source_id": "wb_wdi", "status": "observed", "value": 381652.0, "vintage_date": "2026-08-11" }, { "area_type": "NATIONAL", "component": "ALL", "frequency": "A", "measure": "LARGEST_CITY_POP", "period": "1966", "source_id": "wb_wdi", "status": "observed", "value": 358749.0, "vintage_date": "2026-08-11" }, { "area_type": "NATIONAL", "component": "ALL", "frequency": "A", "measure": "LARGEST_CITY_POP", "period": "1965", "source_id": "wb_wdi", "status": "observed", "value": 337220.0, "vintage_date": "2026-08-11" }, { "area_type": "NATIONAL", "component": "ALL", "frequency": "A", "measure": "LARGEST_CITY_POP", "period": "1964", "source_id": "wb_wdi", "status": "observed", "value": 317011.0, "vintage_date": "2026-08-11" }, { "area_type": "NATIONAL", "component": "ALL", "frequency": "A", "measure": "LARGEST_CITY_POP", "period": "1963", "source_id": "wb_wdi", "status": "observed", "value": 297961.0, "vintage_date": "2026-08-11" }, { "area_type": "NATIONAL", "component": "ALL", "frequency": "A", "measure": "LARGEST_CITY_POP", "period": "1962", "source_id": "wb_wdi", "status": "observed", "value": 280080.0, "vintage_date": "2026-08-11" }, { "area_type": "NATIONAL", "component": "ALL", "frequency": "A", "measure": "LARGEST_CITY_POP", "period": "1961", "source_id": "wb_wdi", "status": "observed", "value": 263273.0, "vintage_date": "2026-08-11" }, { "area_type": "NATIONAL", "component": "ALL", "frequency": "A", "measure": "LARGEST_CITY_POP", "period": "1960", "source_id": "wb_wdi", "status": "observed", "value": 247495.0, "vintage_date": "2026-08-11" }, { "area_type": "NATIONAL", "component": "ALL", "frequency": "A", "measure": "LARGEST_CITY_SHARE", "period": "2025", "source_id": "wb_wdi", "status": "observed", "value": 47.3162748179772, "vintage_date": "2026-08-11" }, { "area_type": "NATIONAL", "component": "ALL", "frequency": "A", "measure": "LARGEST_CITY_SHARE", "period": "2024", "source_id": "wb_wdi", "status": "observed", "value": 47.229983271323, "vintage_date": "2026-08-11" }, { "area_type": "NATIONAL", "component": "ALL", "frequency": "A", "measure": "LARGEST_CITY_SHARE", "period": "2023", "source_id": "wb_wdi", "status": "observed", "value": 47.1465752685304, "vintage_date": "2026-08-11" }, { "area_type": "NATIONAL", "component": "ALL", "frequency": "A", "measure": "LARGEST_CITY_SHARE", "period": "2022", "source_id": "wb_wdi", "status": "observed", "value": 47.0586905944314, "vintage_date": "2026-08-11" }, { "area_type": "NATIONAL", "component": "ALL", "frequency": "A", "measure": "LARGEST_CITY_SHARE", "period": "2021", "source_id": "wb_wdi", "status": "observed", "value": 46.9564282717515, "vintage_date": "2026-08-11" }, { "area_type": "NATIONAL", "component": "ALL", "frequency": "A", "measure": "LARGEST_CITY_SHARE", "period": "2019", "source_id": "wb_wdi", "status": "observed", "value": 46.8220842282128, "vintage_date": "2026-08-11" }, { "area_type": "NATIONAL", "component": "ALL", "frequency": "A", "measure": "AGGLOM_1M_SHARE", "period": "1960", "source_id": "wb_wdi", "status": "observed", "value": 6.41437491755094, "vintage_date": "2026-08-11" } ], "sector": "socio", "sectors": [ "ZU", "SX" ], "source": { "document_series": [], "format": "api", "frequency_published": "annual", "id": "wb_wdi", "license": "CC BY 4.0: World Bank World Development Indicators.", "methodology_note": "## World Development Indicators\n\nThe World Bank's compilation of ~1,400 cross-country development\nindicators, refreshed annually (typically September). For Haiti the\nunderlying data is submitted by national authorities (IHSI, BRH, MEF)\nand harmonized by the World Bank's Haiti country unit.\n\n**CPI series** (FP.CPI.TOTL, FP.CPI.TOTL.ZG): annual consumer price\nlevel and year-on-year inflation, rebased to **2010 = 100**. Pre-2019\nhistory is spliced across IHSI's base-year change using WB's own link\nfactors, which can produce values that differ slightly from IHSI's\ndirect publication on the 2017-2018 base.\n\n**Development indicators** (GNI per capita NY.GNP.PCAP.CD,\nremittances BX.TRF.PWKR.DT.GD.ZS, FDI BX.KLT.DINV.WD.GD.ZS,\npoverty SI.POV.DDAY / SI.POV.LMIC): annual, calendar-year. GNI per\ncapita uses the World Bank Atlas method (a three-year exchange-rate\naverage that smooths currency swings). Remittances and FDI are reported\nas a share of GDP. Poverty headcounts are survey-based and infrequent:\nHaiti's most recent comparable figures are from 2012, so that series has\nlong gaps and should be read as a structural rather than current reading.\n\n**Data provenance**: country-submitted; WDI applies methodology\nconsistency adjustments but does not independently re-estimate.\nRevisions to prior years follow country revisions on roughly a\n6-12 month lag.\n\n\nAll eight measures are pulled from the World Bank WDI API for Haiti (HTI):\n\n- Urban population \u2014 SP.URB.TOTL\n- Urban population share \u2014 SP.URB.TOTL.IN.ZS\n- Urban population growth \u2014 SP.URB.GROW\n- Population in slums \u2014 EN.POP.SLUM.UR.ZS\n- Access to electricity, urban \u2014 EG.ELC.ACCS.UR.ZS\n- At least basic drinking water, urban \u2014 SH.H2O.BASW.UR.ZS\n- At least basic sanitation, urban \u2014 SH.STA.BASS.UR.ZS\n- Basic handwashing facility, urban \u2014 SH.STA.HYGN.UR.ZS\n- Population in the largest city \u2014 EN.URB.LCTY\n- Largest city share of urban population \u2014 EN.URB.LCTY.UR.ZS\n- Agglomerations over 1 million, share of total population \u2014 EN.URB.MCTY.TL.ZS\n\n**A fourth primacy series was deliberately left out.** The World Bank also publishes\n\"population in urban agglomerations of more than 1 million\", which for Haiti returns values\nidentical to the largest-city count in every year from 1960 to 2025, including years when\nPort-au-Prince was well under a million. It is the same series under a second name, because\nHaiti has one agglomeration and the UN reports its whole history. Carrying both would put\nthe same numbers on two measures and invite a double count. The percent forms of the two\nare genuinely different, dividing by the urban population and by the total population, and\nboth are kept.\n\nProvenance of the underlying estimates differs by measure and matters for\ninterpretation. The three population measures are UN World Urbanization\nProspects estimates, which apply Haiti's own national urban definition to the\n2003 IHSI census benchmark and project forward; there has been no census since\n2003, so post-2003 values are projections, not counts. SLUM_SHARE is UN-Habitat's\nSDG 11.1.1 estimate, published for scattered years only (12 observations,\n2000-2022) and not interpolated here. The four access measures come from the\nWHO/UNICEF Joint Monitoring Programme service ladders, which model annual\nvalues from household surveys (for Haiti, chiefly the EMMUS/DHS rounds); the\nintervening years are modelled, not observed.\n\nThe measures are deliberately kept on one indicator but never on one axis:\nURB_POP is a headcount in persons, URB_SHARE and URB_GROWTH are percents of the\ntotal population, and the four access measures are percents of the URBAN\npopulation only. Mixing the last group with URB_SHARE on a single chart would\ncompare two different denominators.\n\nAttribution: World Bank, World Development Indicators (CC BY 4.0); UN DESA,\nWorld Urbanization Prospects; UN-Habitat; WHO/UNICEF JMP.", "name": "World Development Indicators", "name_localized": { "en": "World Development Indicators", "fr": "Banque mondiale, Indicateurs du d\u00e9veloppement dans le monde (WDI)", "ht": "Bank Mondyal, Endikat\u00e8 devlopman nan mond lan (WDI)" }, "provider": { "full": "World Bank Group", "short": "World Bank", "type": "international_organization" }, "url": "https://datatopics.worldbank.org/world-development-indicators/" }, "sources": { "wb_wdi": { "document_series": [], "format": "api", "frequency_published": "annual", "id": "wb_wdi", "license": "CC BY 4.0: World Bank World Development Indicators.", "methodology_note": "## World Development Indicators\n\nThe World Bank's compilation of ~1,400 cross-country development\nindicators, refreshed annually (typically September). For Haiti the\nunderlying data is submitted by national authorities (IHSI, BRH, MEF)\nand harmonized by the World Bank's Haiti country unit.\n\n**CPI series** (FP.CPI.TOTL, FP.CPI.TOTL.ZG): annual consumer price\nlevel and year-on-year inflation, rebased to **2010 = 100**. Pre-2019\nhistory is spliced across IHSI's base-year change using WB's own link\nfactors, which can produce values that differ slightly from IHSI's\ndirect publication on the 2017-2018 base.\n\n**Development indicators** (GNI per capita NY.GNP.PCAP.CD,\nremittances BX.TRF.PWKR.DT.GD.ZS, FDI BX.KLT.DINV.WD.GD.ZS,\npoverty SI.POV.DDAY / SI.POV.LMIC): annual, calendar-year. GNI per\ncapita uses the World Bank Atlas method (a three-year exchange-rate\naverage that smooths currency swings). Remittances and FDI are reported\nas a share of GDP. Poverty headcounts are survey-based and infrequent:\nHaiti's most recent comparable figures are from 2012, so that series has\nlong gaps and should be read as a structural rather than current reading.\n\n**Data provenance**: country-submitted; WDI applies methodology\nconsistency adjustments but does not independently re-estimate.\nRevisions to prior years follow country revisions on roughly a\n6-12 month lag.\n\n\nAll eight measures are pulled from the World Bank WDI API for Haiti (HTI):\n\n- Urban population \u2014 SP.URB.TOTL\n- Urban population share \u2014 SP.URB.TOTL.IN.ZS\n- Urban population growth \u2014 SP.URB.GROW\n- Population in slums \u2014 EN.POP.SLUM.UR.ZS\n- Access to electricity, urban \u2014 EG.ELC.ACCS.UR.ZS\n- At least basic drinking water, urban \u2014 SH.H2O.BASW.UR.ZS\n- At least basic sanitation, urban \u2014 SH.STA.BASS.UR.ZS\n- Basic handwashing facility, urban \u2014 SH.STA.HYGN.UR.ZS\n- Population in the largest city \u2014 EN.URB.LCTY\n- Largest city share of urban population \u2014 EN.URB.LCTY.UR.ZS\n- Agglomerations over 1 million, share of total population \u2014 EN.URB.MCTY.TL.ZS\n\n**A fourth primacy series was deliberately left out.** The World Bank also publishes\n\"population in urban agglomerations of more than 1 million\", which for Haiti returns values\nidentical to the largest-city count in every year from 1960 to 2025, including years when\nPort-au-Prince was well under a million. It is the same series under a second name, because\nHaiti has one agglomeration and the UN reports its whole history. Carrying both would put\nthe same numbers on two measures and invite a double count. The percent forms of the two\nare genuinely different, dividing by the urban population and by the total population, and\nboth are kept.\n\nProvenance of the underlying estimates differs by measure and matters for\ninterpretation. The three population measures are UN World Urbanization\nProspects estimates, which apply Haiti's own national urban definition to the\n2003 IHSI census benchmark and project forward; there has been no census since\n2003, so post-2003 values are projections, not counts. SLUM_SHARE is UN-Habitat's\nSDG 11.1.1 estimate, published for scattered years only (12 observations,\n2000-2022) and not interpolated here. The four access measures come from the\nWHO/UNICEF Joint Monitoring Programme service ladders, which model annual\nvalues from household surveys (for Haiti, chiefly the EMMUS/DHS rounds); the\nintervening years are modelled, not observed.\n\nThe measures are deliberately kept on one indicator but never on one axis:\nURB_POP is a headcount in persons, URB_SHARE and URB_GROWTH are percents of the\ntotal population, and the four access measures are percents of the URBAN\npopulation only. Mixing the last group with URB_SHARE on a single chart would\ncompare two different denominators.\n\nAttribution: World Bank, World Development Indicators (CC BY 4.0); UN DESA,\nWorld Urbanization Prospects; UN-Habitat; WHO/UNICEF JMP.", "name": "World Development Indicators", "name_localized": { "en": "World Development Indicators", "fr": "Banque mondiale, Indicateurs du d\u00e9veloppement dans le monde (WDI)", "ht": "Bank Mondyal, Endikat\u00e8 devlopman nan mond lan (WDI)" }, "provider": { "full": "World Bank Group", "short": "World Bank", "type": "international_organization" }, "url": "https://datatopics.worldbank.org/world-development-indicators/" } }, "units": { "AGGLOM_1M_SHARE": "% of total population", "ELEC_URBAN": "% of urban population", "HYGIENE_URBAN": "% of urban population", "LARGEST_CITY_POP": "Persons", "LARGEST_CITY_SHARE": "% of urban population", "SANIT_URBAN": "% of urban population", "SLUM_SHARE": "% of urban population", "URB_GROWTH": "% annual change", "URB_POP": "Persons", "URB_SHARE": "% of total population", "WATER_URBAN": "% of urban population" }, "views": [ { "chart_type": "line", "default": true, "description": { "en": "Urban residents as a percent of Haiti's total population, 1960 to 2025. The share passed 50% around 2018 and reaches roughly 56% in 2025. Source: World Bank WDI, from UN World Urbanization Prospects.", "fr": "R\u00e9sidents urbains en pourcentage de la population totale d'Ha\u00efti, de 1960 \u00e0 2025. La part a d\u00e9pass\u00e9 50 % vers 2018 et atteint environ 56 % en 2025. Source: Banque mondiale WDI, d'apr\u00e8s les Perspectives de l'urbanisation mondiale de l'ONU.", "ht": "Moun ki abite nan vil an pousantaj popilasyon total Ayiti, soti 1960 rive 2025. P\u00f2syon an depase 50% v\u00e8 2018 epi li rive anviwon 56% an 2025. Sous: Bank Mondyal WDI, dapre Pespektiv Ibanizasyon Mondyal ONI." }, "filters": { "measure": "URB_SHARE" }, "id": "urban_share", "name": { "en": "Share of Haitians living in cities", "fr": "Part des Ha\u00eftiens vivant en ville", "ht": "P\u00f2syon Ayisyen k ap viv nan vil" } }, { "chart_type": "line", "default": false, "description": { "en": "The number of people living in Haiti's urban areas, 1960 to 2025. The urban population has grown more than tenfold over the period while the rural population has been broadly flat since the 1990s.", "fr": "Nombre de personnes vivant dans les zones urbaines d'Ha\u00efti, de 1960 \u00e0 2025. La population urbaine a \u00e9t\u00e9 multipli\u00e9e par plus de dix sur la p\u00e9riode, tandis que la population rurale stagne globalement depuis les ann\u00e9es 1990.", "ht": "Kantite moun k ap viv nan z\u00f2n iben Ayiti, soti 1960 rive 2025. Popilasyon iben an miltipliye plis pase dis fwa nan pery\u00f2d la, pandan popilasyon riral la rete apepr\u00e8 plat depi ane 1990 yo." }, "filters": { "measure": "URB_POP" }, "id": "urban_population", "name": { "en": "Urban population, headcount", "fr": "Population urbaine, effectif", "ht": "Popilasyon iben, kantite" } }, { "chart_type": "line", "default": false, "description": { "en": "Annual percent change in the urban population. It stays above total population growth throughout, which is what urbanization looks like in a series: cities absorb natural increase, rural migrants, and newly reclassified settlements at once.", "fr": "Variation annuelle en pourcentage de la population urbaine. Elle reste sup\u00e9rieure \u00e0 la croissance de la population totale sur toute la p\u00e9riode: les villes absorbent simultan\u00e9ment l'accroissement naturel, les migrants ruraux et les zones nouvellement reclass\u00e9es.", "ht": "Chanjman any\u00e8l an pousantaj nan popilasyon iben an. Li rete pi wo pase kwasans popilasyon total la sou tout pery\u00f2d la: vil yo abs\u00f2be an menm tan ogmantasyon natir\u00e8l, migran riral ak z\u00f2n yo f\u00e8k rklase." }, "filters": { "measure": "URB_GROWTH" }, "id": "urban_growth", "name": { "en": "Urban population growth rate", "fr": "Taux de croissance de la population urbaine", "ht": "To kwasans popilasyon iben" } }, { "chart_type": "line", "default": false, "description": { "en": "Urban residents in slum households as a percent of the urban population (SDG 11.1.1). A household counts as slum if it lacks any one of durable housing, sufficient living space, improved water, improved sanitation, or secure tenure. Reported for scattered years only.", "fr": "R\u00e9sidents urbains en m\u00e9nages de quartiers pr\u00e9caires, en pourcentage de la population urbaine (ODD 11.1.1). Un m\u00e9nage est compt\u00e9 si l'un des \u00e9l\u00e9ments suivants manque: logement durable, espace suffisant, eau am\u00e9lior\u00e9e, assainissement am\u00e9lior\u00e9, s\u00e9curit\u00e9 d'occupation. Ann\u00e9es disponibles \u00e9parses.", "ht": "Moun nan vil ki nan kay katye prek\u00e8, an pousantaj popilasyon iben an (ODD 11.1.1). Yo konte yon kay si li manke youn nan: kay solid, ase espas, dlo amelyore, asenisman amelyore, sekirite t\u00e8. S\u00e8lman k\u00e8k ane disponib." }, "filters": { "measure": "SLUM_SHARE" }, "id": "slums", "name": { "en": "Population living in slums", "fr": "Population en quartiers pr\u00e9caires", "ht": "Popilasyon nan katye prek\u00e8" } }, { "chart_type": "line", "default": false, "description": { "en": "Urban primacy, 1960 to 2025: the largest city as a percent of the urban population. It fell from 68% in 1990 to 47% in 2025 while that same city tripled in size, because secondary towns grew faster and settlements were reclassified as urban. A falling primacy share is not a shrinking capital. The boundary is the UN's built-up-area definition, not a Haitian administrative one.", "fr": "Primatie urbaine, de 1960 \u00e0 2025: la plus grande ville en pourcentage de la population urbaine. Elle est pass\u00e9e de 68 % en 1990 \u00e0 47 % en 2025 alors que cette m\u00eame ville triplait, parce que les villes secondaires ont grandi plus vite et que des localit\u00e9s ont \u00e9t\u00e9 reclass\u00e9es en urbain. Une primatie en baisse ne signifie pas une capitale en d\u00e9clin. Le p\u00e9rim\u00e8tre est celui de la zone b\u00e2tie d\u00e9finie par l'ONU, non un d\u00e9coupage administratif ha\u00eftien.", "ht": "Primasi iben, soti 1960 rive 2025: pi gwo vil la an pousantaj popilasyon iben an. Li soti 68% an 1990 rive 47% an 2025 pandan menm vil sa a t ap tripleple, paske vil segond\u00e8 yo grandi pi vit epi yo rklase k\u00e8k z\u00f2n k\u00f2m iben. Yon primasi k ap desann pa vle di yon kapital k ap vin pi piti. Limit la se z\u00f2n bati ONI defini, se pa yon dekoupaj administratif ayisyen." }, "filters": { "measure": "LARGEST_CITY_SHARE" }, "id": "primacy", "name": { "en": "Port-au-Prince share of the urban population", "fr": "Part de Port-au-Prince dans la population urbaine", "ht": "P\u00f2syon P\u00f2toprens nan popilasyon iben" } }, { "chart_type": "line", "default": false, "description": { "en": "The same agglomeration measured against the total population rather than the urban population, rising from 6% in 1960 to 26% in 2025. Haiti has exactly one agglomeration above a million, so this tracks Port-au-Prince rather than describing a distribution of large cities.", "fr": "La m\u00eame agglom\u00e9ration rapport\u00e9e \u00e0 la population totale et non \u00e0 la population urbaine, de 6 % en 1960 \u00e0 26 % en 2025. Ha\u00efti ne compte qu'une seule agglom\u00e9ration de plus d'un million: la mesure suit donc Port-au-Prince et ne d\u00e9crit pas une r\u00e9partition entre grandes villes.", "ht": "Menm aglomerasyon an mezire kont popilasyon total la olye popilasyon iben an, soti 6% an 1960 rive 26% an 2025. Ayiti gen yon s\u00e8l aglomerasyon ki gen plis pase yon milyon: kidonk mezi a swiv P\u00f2toprens, li pa dekri yon repartisyon ant gwo vil." }, "filters": { "measure": "AGGLOM_1M_SHARE" }, "id": "agglomeration_share", "name": { "en": "Port-au-Prince share of the whole country", "fr": "Part de Port-au-Prince dans l'ensemble du pays", "ht": "P\u00f2syon P\u00f2toprens nan tout peyi a" } }, { "chart_type": "line", "default": false, "description": { "en": "The UN's count for Haiti's largest agglomeration, from 247,000 in 1960 to 3.13 million in 2025. The boundary is the UN's built-up area and matches no Haitian administrative unit, so this is neither the commune of Port-au-Prince nor the Ouest department. Values after 2018 are projections from the 2018 revision of World Urbanization Prospects.", "fr": "Le d\u00e9compte de l'ONU pour la plus grande agglom\u00e9ration d'Ha\u00efti, de 247 000 habitants en 1960 \u00e0 3,13 millions en 2025. Le p\u00e9rim\u00e8tre est la zone b\u00e2tie d\u00e9finie par l'ONU et ne correspond \u00e0 aucune unit\u00e9 administrative ha\u00eftienne: il ne s'agit donc ni de la commune de Port-au-Prince ni du d\u00e9partement de l'Ouest. Les valeurs post\u00e9rieures \u00e0 2018 sont des projections de la r\u00e9vision 2018 des Perspectives de l'urbanisation mondiale.", "ht": "Kontaj ONI pou pi gwo aglomerasyon Ayiti, soti 247 000 an 1960 rive 3,13 milyon an 2025. Limit la se z\u00f2n bati ONI defini epi li pa koresponn ak okenn inite administratif ayisyen: kidonk se pa ni komin P\u00f2toprens ni depatman Lw\u00e8s. Val\u00e8 apre 2018 se pwojeksyon ki soti nan revizyon 2018 Pespektiv Ibanizasyon Mondyal." }, "filters": { "measure": "LARGEST_CITY_POP" }, "id": "largest_city", "name": { "en": "Population of the Port-au-Prince agglomeration", "fr": "Population de l'agglom\u00e9ration de Port-au-Prince", "ht": "Popilasyon aglomerasyon P\u00f2toprens" } }, { "chart_type": "line", "default": false, "description": { "en": "Four service ladders, each as a share of the urban population: electricity connection, at least basic drinking water, at least basic sanitation, and a handwashing facility with soap and water. Sanitation and handwashing sit far below electricity and water, and the electricity figure counts a connection rather than reliable supply.", "fr": "Quatre \u00e9chelles de services, chacune en part de la population urbaine: raccordement \u00e9lectrique, eau potable au moins \u00e9l\u00e9mentaire, assainissement au moins \u00e9l\u00e9mentaire, et installation de lavage des mains avec eau et savon. L'assainissement et le lavage des mains sont tr\u00e8s en de\u00e7\u00e0 de l'\u00e9lectricit\u00e9 et de l'eau, et le chiffre de l'\u00e9lectricit\u00e9 compte un raccordement, non une fourniture fiable.", "ht": "Kat ech\u00e8l s\u00e8vis, chak an p\u00f2syon popilasyon iben an: koneksyon elektrik, omwen dlo potab debaz, omwen asenisman debaz, ak enstalasyon pou lave men ak dlo ak savon. Asenisman ak lave men byen pi ba pase elektrisite ak dlo, epi chif elektrisite a konte yon koneksyon, pa yon s\u00e8vis ki fyab." }, "filters": { "measure": [ "ELEC_URBAN", "WATER_URBAN", "SANIT_URBAN", "HYGIENE_URBAN" ] }, "id": "urban_services", "name": { "en": "Urban access to basic services", "fr": "Acc\u00e8s urbain aux services de base", "ht": "Aks\u00e8 iben ak s\u00e8vis debaz" } } ], "vintages": [ "2026-07-27", "2026-08-11" ] }