{ "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": "OVERALL_TOTAL" }, "description": { "en": "**How much human capital a child born in Haiti today can expect to\naccumulate, scored across three pillars and broken out by sex.** Twelve\nseries: an overall score and three pillar scores, each for both sexes, males\nand females.\n\n- **Overall**: **141.2 in 2025**, down from 143.5 in 2020.\n- **Education**: **81.2** of a possible 188.\n- **Health**: **38.8** of 50, the only pillar that improved.\n- **On-the-job learning**: **21.2** of 87, down from 23.0 in 2020 and the\n pillar driving the fall in the total.\n\n**This is HCI Plus, not the classic Human Capital Index.** The familiar HCI\nruns from 0 to 1 and is often quoted for Haiti at around 0.45. HCI+ is a\ndifferent construction on a 0 to 325 scale, so a reading of 141 is not an\nerror and is not comparable with a 0-to-1 figure. Anyone quoting these numbers\nneeds to name the index.\n\n**Four scales, never one axis.** The overall score runs 0 to 325, education 0\nto 188, health 0 to 50, and on-the-job learning -30 to 87. Putting all four on\na single chart would suggest health is a twentieth of the story when in fact\nit is scoring 78% of its own maximum while education scores 43% of its.\n\n**The overall score is the sum of the three pillars**, exactly, in every year\nand for every sex (81.2 + 38.8 + 21.2 = 141.2 for both sexes in 2025), and the\nthree pillar maxima sum to 325. So the pillars may legitimately be stacked\nagainst each other, but the overall score must never be added to that stack.\n\n**Where Haiti's score is weakest, and why.** Education contributes 43% of its\npossible points and on-the-job learning 24% of its, while health contributes\n78%. The pattern says that Haitian children survive childhood at rates far\nbetter than they learn in school or gain skills at work. The 2020 to 2025\ndecline is concentrated in on-the-job learning, which fell 1.8 points, and it\nis larger for women (18.3 to 15.7) than for men (27.3 to 26.4).\n\n**Sex differences run in both directions.** Girls score higher on education\n(82.8 against 79.8) and on health (41.2 against 36.5), and much lower on\non-the-job learning (15.7 against 26.4). The net effect is a lower overall\nscore for women, 139.7 against 142.8. The gap is in what happens after\nschool, not in school.\n\n**SOURCE AND AUTHORITY NOTE.** These are World Bank staff calculations from\nthe Human Capital Project. They are modelled composites built on\ninternational education, health and labour data, not a Haitian statistical\npublication, and the inputs for Haiti are themselves sparse: there has been no\nrecent learning assessment and no recent labour force survey. Label them\n\"World Bank HCI+ estimate\" in prose. Coverage is thin by design: 2020 and 2025\nfor most series, with health also available for 2010 and 2015.\n", "fr": "**Capital humain qu'un enfant n\u00e9 en Ha\u00efti aujourd'hui peut esp\u00e9rer\naccumuler, mesur\u00e9 sur trois piliers et ventil\u00e9 par sexe.** Douze s\u00e9ries:\nun score global et trois scores de pilier, chacun pour les deux sexes, les\nhommes et les femmes. Score global 141,2 en 2025 (contre 143,5 en 2020),\n\u00e9ducation 81,2 sur 188, sant\u00e9 38,8 sur 50 (seul pilier en progr\u00e8s), et\napprentissage en emploi 21,2 sur 87. Il s'agit du HCI+, sur une \u00e9chelle de\n0 \u00e0 325, et non de l'indice de capital humain classique de 0 \u00e0 1 souvent\ncit\u00e9 autour de 0,45 pour Ha\u00efti: les deux ne sont pas comparables. Les\nquatre \u00e9chelles diff\u00e8rent et ne se placent jamais sur un m\u00eame axe. Le score\nglobal est la somme exacte des trois piliers, qui peuvent donc \u00eatre\nempil\u00e9s entre eux mais jamais avec lui. Les filles devancent les gar\u00e7ons en\n\u00e9ducation et en sant\u00e9 et sont tr\u00e8s en retrait sur l'apprentissage en\nemploi, ce qui explique leur score global plus faible. Source: calculs des\nservices de la Banque mondiale, Projet capital humain, via WDI. Ce sont des\ncomposites mod\u00e9lis\u00e9s, non une publication statistique ha\u00eftienne.\n", "ht": "**Konbyen kapital imen yon timoun ki f\u00e8t an Ayiti jodi a ka atann pou\nranmase, mezire sou twa pilye epi separe pa s\u00e8ks.** Douz seri: yon n\u00f2t\nglobal ak twa n\u00f2t pilye, chak pou tou de s\u00e8ks, gason ak fanm. N\u00f2t global\n141,2 an 2025 (kont 143,5 an 2020), edikasyon 81,2 sou 188, sante 38,8 sou\n50 (s\u00e8l pilye k ap amelyore), ak aprantisaj nan travay 21,2 sou 87. Se\nHCI+ la, sou yon ech\u00e8l 0 rive 325, se pa end\u00e8ks kapital imen klasik 0 rive\n1 an yo souvan site b\u00f2 0,45 pou Ayiti: de yo pa konparab. Kat ech\u00e8l yo\ndiferan epi yo pa janm mete sou menm aks. N\u00f2t global la se s\u00f2m egzak twa\npilye yo, kidonk pilye yo ka anpile antre yo men jam\u00e8 ak li. Tifi depase\ntigason nan edikasyon ak nan sante epi yo byen d\u00e8y\u00e8 nan aprantisaj nan\ntravay, sa ki eksplike n\u00f2t global pa yo ki pi ba. Sous: kalkil s\u00e8vis Bank\nMondyal, Pwoj\u00e8 Kapital Imen, via WDI. Se konpozit modelize, se pa yon\npiblikasyon estatistik ayisyen.\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": [ "EDUCATION_FEMALE", "EDUCATION_MALE", "EDUCATION_TOTAL", "HEALTH_FEMALE", "HEALTH_MALE", "HEALTH_TOTAL", "ONTHEJOB_FEMALE", "ONTHEJOB_MALE", "ONTHEJOB_TOTAL", "OVERALL_FEMALE", "OVERALL_MALE", "OVERALL_TOTAL" ] }, "indicator_id": "human_capital_index_plus", "labels": { "area_type": { "NATIONAL": { "description": "Country-wide total.", "en": "National", "fr": "National", "ht": "Nasyonal" } }, "frequency": { "A": { "en": "Annual", "fr": "Annuel", "ht": "Chak ane" } }, "measure": { "EDUCATION_FEMALE": { "description": "The education pillar, on a scale of 0 to 188. It combines expected years of school with a measure of how much learning those years deliver, so a country with long enrolment and weak learning scores low. Covers females only. Scale 0 to 188.\n", "description_fr": "Le pilier \u00e9ducation, sur une \u00e9chelle de 0 \u00e0 188. Il combine les ann\u00e9es de scolarit\u00e9 attendues et une mesure de ce que ces ann\u00e9es permettent d'apprendre: un pays o\u00f9 la scolarisation est longue mais l'apprentissage faible obtient un score bas. Porte sur les femmes seulement. \u00c9chelle 0 \u00e0 188.", "description_ht": "Pilye edikasyon an, sou yon ech\u00e8l 0 rive 188. Li konbine ane lek\u00f2l yo atann ak yon mezi konbyen aprantisaj ane sa yo bay: yon peyi kote timoun rete lontan lek\u00f2l men aprann tigout ap gen yon n\u00f2t ki ba. Li kouvri fanm s\u00e8lman. Ech\u00e8l 0 rive 188.", "en": "Education pillar, female", "fr": "Pilier \u00e9ducation, femmes", "ht": "Pilye edikasyon, fanm" }, "EDUCATION_MALE": { "description": "The education pillar, on a scale of 0 to 188. It combines expected years of school with a measure of how much learning those years deliver, so a country with long enrolment and weak learning scores low. Covers males only. Scale 0 to 188.\n", "description_fr": "Le pilier \u00e9ducation, sur une \u00e9chelle de 0 \u00e0 188. Il combine les ann\u00e9es de scolarit\u00e9 attendues et une mesure de ce que ces ann\u00e9es permettent d'apprendre: un pays o\u00f9 la scolarisation est longue mais l'apprentissage faible obtient un score bas. Porte sur les hommes seulement. \u00c9chelle 0 \u00e0 188.", "description_ht": "Pilye edikasyon an, sou yon ech\u00e8l 0 rive 188. Li konbine ane lek\u00f2l yo atann ak yon mezi konbyen aprantisaj ane sa yo bay: yon peyi kote timoun rete lontan lek\u00f2l men aprann tigout ap gen yon n\u00f2t ki ba. Li kouvri gason s\u00e8lman. Ech\u00e8l 0 rive 188.", "en": "Education pillar, male", "fr": "Pilier \u00e9ducation, hommes", "ht": "Pilye edikasyon, gason" }, "EDUCATION_TOTAL": { "description": "The education pillar, on a scale of 0 to 188. It combines expected years of school with a measure of how much learning those years deliver, so a country with long enrolment and weak learning scores low. Covers both sexes. Scale 0 to 188.\n", "description_fr": "Le pilier \u00e9ducation, sur une \u00e9chelle de 0 \u00e0 188. Il combine les ann\u00e9es de scolarit\u00e9 attendues et une mesure de ce que ces ann\u00e9es permettent d'apprendre: un pays o\u00f9 la scolarisation est longue mais l'apprentissage faible obtient un score bas. Porte sur les deux sexes. \u00c9chelle 0 \u00e0 188.", "description_ht": "Pilye edikasyon an, sou yon ech\u00e8l 0 rive 188. Li konbine ane lek\u00f2l yo atann ak yon mezi konbyen aprantisaj ane sa yo bay: yon peyi kote timoun rete lontan lek\u00f2l men aprann tigout ap gen yon n\u00f2t ki ba. Li kouvri tou de s\u00e8ks. Ech\u00e8l 0 rive 188.", "en": "Education pillar, total", "fr": "Pilier \u00e9ducation, total", "ht": "Pilye edikasyon, total" }, "HEALTH_FEMALE": { "description": "The health pillar, on a scale of 0 to 50. It draws on child survival, stunting and adult survival rates. Its narrow range means a change of one point here is large relative to the pillar. Covers females only. Scale 0 to 50.\n", "description_fr": "Le pilier sant\u00e9, sur une \u00e9chelle de 0 \u00e0 50. Il s'appuie sur la survie des enfants, le retard de croissance et la survie des adultes. Son amplitude \u00e9troite fait qu'un point de variation y est important au regard du pilier. Porte sur les femmes seulement. \u00c9chelle 0 \u00e0 50.", "description_ht": "Pilye sante a, sou yon ech\u00e8l 0 rive 50. Li chita sou siviv timoun, reta nan kwasans ak siviv granmoun. K\u00f2m ech\u00e8l li sere, yon s\u00e8l pwen chanjman gwo parap\u00f2 ak pilye a. Li kouvri fanm s\u00e8lman. Ech\u00e8l 0 rive 50.", "en": "Health pillar, female", "fr": "Pilier sant\u00e9, femmes", "ht": "Pilye sante, fanm" }, "HEALTH_MALE": { "description": "The health pillar, on a scale of 0 to 50. It draws on child survival, stunting and adult survival rates. Its narrow range means a change of one point here is large relative to the pillar. Covers males only. Scale 0 to 50.\n", "description_fr": "Le pilier sant\u00e9, sur une \u00e9chelle de 0 \u00e0 50. Il s'appuie sur la survie des enfants, le retard de croissance et la survie des adultes. Son amplitude \u00e9troite fait qu'un point de variation y est important au regard du pilier. Porte sur les hommes seulement. \u00c9chelle 0 \u00e0 50.", "description_ht": "Pilye sante a, sou yon ech\u00e8l 0 rive 50. Li chita sou siviv timoun, reta nan kwasans ak siviv granmoun. K\u00f2m ech\u00e8l li sere, yon s\u00e8l pwen chanjman gwo parap\u00f2 ak pilye a. Li kouvri gason s\u00e8lman. Ech\u00e8l 0 rive 50.", "en": "Health pillar, male", "fr": "Pilier sant\u00e9, hommes", "ht": "Pilye sante, gason" }, "HEALTH_TOTAL": { "description": "The health pillar, on a scale of 0 to 50. It draws on child survival, stunting and adult survival rates. Its narrow range means a change of one point here is large relative to the pillar. Covers both sexes. Scale 0 to 50.\n", "description_fr": "Le pilier sant\u00e9, sur une \u00e9chelle de 0 \u00e0 50. Il s'appuie sur la survie des enfants, le retard de croissance et la survie des adultes. Son amplitude \u00e9troite fait qu'un point de variation y est important au regard du pilier. Porte sur les deux sexes. \u00c9chelle 0 \u00e0 50.", "description_ht": "Pilye sante a, sou yon ech\u00e8l 0 rive 50. Li chita sou siviv timoun, reta nan kwasans ak siviv granmoun. K\u00f2m ech\u00e8l li sere, yon s\u00e8l pwen chanjman gwo parap\u00f2 ak pilye a. Li kouvri tou de s\u00e8ks. Ech\u00e8l 0 rive 50.", "en": "Health pillar, total", "fr": "Pilier sant\u00e9, total", "ht": "Pilye sante, total" }, "ONTHEJOB_FEMALE": { "description": "The on-the-job learning pillar, on a scale of -30 to 87. It measures the human capital workers accumulate after leaving school, and it can be negative where labour markets erode skills rather than build them. Covers females only. Scale -30 to 87.\n", "description_fr": "Le pilier apprentissage en emploi, sur une \u00e9chelle de -30 \u00e0 87. Il mesure le capital humain accumul\u00e9 par les travailleurs apr\u00e8s la scolarit\u00e9 et peut \u00eatre n\u00e9gatif l\u00e0 o\u00f9 le march\u00e9 du travail \u00e9rode les comp\u00e9tences au lieu de les d\u00e9velopper. Porte sur les femmes seulement. \u00c9chelle -30 \u00e0 87.", "description_ht": "Pilye aprantisaj nan travay la, sou yon ech\u00e8l -30 rive 87. Li mezire kapital imen travay\u00e8 yo ranmase apre lek\u00f2l epi li ka negatif kote mache travay la manje konpetans olye li bati yo. Li kouvri fanm s\u00e8lman. Ech\u00e8l -30 rive 87.", "en": "On-the-job learning pillar, female", "fr": "Pilier apprentissage en emploi, femmes", "ht": "Pilye aprantisaj nan travay, fanm" }, "ONTHEJOB_MALE": { "description": "The on-the-job learning pillar, on a scale of -30 to 87. It measures the human capital workers accumulate after leaving school, and it can be negative where labour markets erode skills rather than build them. Covers males only. Scale -30 to 87.\n", "description_fr": "Le pilier apprentissage en emploi, sur une \u00e9chelle de -30 \u00e0 87. Il mesure le capital humain accumul\u00e9 par les travailleurs apr\u00e8s la scolarit\u00e9 et peut \u00eatre n\u00e9gatif l\u00e0 o\u00f9 le march\u00e9 du travail \u00e9rode les comp\u00e9tences au lieu de les d\u00e9velopper. Porte sur les hommes seulement. \u00c9chelle -30 \u00e0 87.", "description_ht": "Pilye aprantisaj nan travay la, sou yon ech\u00e8l -30 rive 87. Li mezire kapital imen travay\u00e8 yo ranmase apre lek\u00f2l epi li ka negatif kote mache travay la manje konpetans olye li bati yo. Li kouvri gason s\u00e8lman. Ech\u00e8l -30 rive 87.", "en": "On-the-job learning pillar, male", "fr": "Pilier apprentissage en emploi, hommes", "ht": "Pilye aprantisaj nan travay, gason" }, "ONTHEJOB_TOTAL": { "description": "The on-the-job learning pillar, on a scale of -30 to 87. It measures the human capital workers accumulate after leaving school, and it can be negative where labour markets erode skills rather than build them. Covers both sexes. Scale -30 to 87.\n", "description_fr": "Le pilier apprentissage en emploi, sur une \u00e9chelle de -30 \u00e0 87. Il mesure le capital humain accumul\u00e9 par les travailleurs apr\u00e8s la scolarit\u00e9 et peut \u00eatre n\u00e9gatif l\u00e0 o\u00f9 le march\u00e9 du travail \u00e9rode les comp\u00e9tences au lieu de les d\u00e9velopper. Porte sur les deux sexes. \u00c9chelle -30 \u00e0 87.", "description_ht": "Pilye aprantisaj nan travay la, sou yon ech\u00e8l -30 rive 87. Li mezire kapital imen travay\u00e8 yo ranmase apre lek\u00f2l epi li ka negatif kote mache travay la manje konpetans olye li bati yo. Li kouvri tou de s\u00e8ks. Ech\u00e8l -30 rive 87.", "en": "On-the-job learning pillar, total", "fr": "Pilier apprentissage en emploi, total", "ht": "Pilye aprantisaj nan travay, total" }, "OVERALL_FEMALE": { "description": "The full Human Capital Index Plus score, on a scale of 0 to 325. It is the sum of the three pillar scores, so it must never be charted on the same stack as them. Covers females only. Scale 0 to 325.\n", "description_fr": "Le score complet de l'indice de capital humain augment\u00e9 (HCI+), sur une \u00e9chelle de 0 \u00e0 325. Il est la somme des trois scores de pilier et ne doit donc jamais figurer dans le m\u00eame empilement qu'eux. Porte sur les femmes seulement. \u00c9chelle 0 \u00e0 325.", "description_ht": "N\u00f2t konpl\u00e8 End\u00e8ks Kapital Imen Plis (HCI+), sou yon ech\u00e8l 0 rive 325. Li se s\u00f2m twa n\u00f2t pilye yo, kidonk li pa dwe janm par\u00e8t nan menm pil ak yo. Li kouvri fanm s\u00e8lman. Ech\u00e8l 0 rive 325.", "en": "Overall HCI+ score, female", "fr": "Score global HCI+, femmes", "ht": "N\u00f2t global HCI+, fanm" }, "OVERALL_MALE": { "description": "The full Human Capital Index Plus score, on a scale of 0 to 325. It is the sum of the three pillar scores, so it must never be charted on the same stack as them. Covers males only. Scale 0 to 325.\n", "description_fr": "Le score complet de l'indice de capital humain augment\u00e9 (HCI+), sur une \u00e9chelle de 0 \u00e0 325. Il est la somme des trois scores de pilier et ne doit donc jamais figurer dans le m\u00eame empilement qu'eux. Porte sur les hommes seulement. \u00c9chelle 0 \u00e0 325.", "description_ht": "N\u00f2t konpl\u00e8 End\u00e8ks Kapital Imen Plis (HCI+), sou yon ech\u00e8l 0 rive 325. Li se s\u00f2m twa n\u00f2t pilye yo, kidonk li pa dwe janm par\u00e8t nan menm pil ak yo. Li kouvri gason s\u00e8lman. Ech\u00e8l 0 rive 325.", "en": "Overall HCI+ score, male", "fr": "Score global HCI+, hommes", "ht": "N\u00f2t global HCI+, gason" }, "OVERALL_TOTAL": { "description": "The full Human Capital Index Plus score, on a scale of 0 to 325. It is the sum of the three pillar scores, so it must never be charted on the same stack as them. Covers both sexes. Scale 0 to 325.\n", "description_fr": "Le score complet de l'indice de capital humain augment\u00e9 (HCI+), sur une \u00e9chelle de 0 \u00e0 325. Il est la somme des trois scores de pilier et ne doit donc jamais figurer dans le m\u00eame empilement qu'eux. Porte sur les deux sexes. \u00c9chelle 0 \u00e0 325.", "description_ht": "N\u00f2t konpl\u00e8 End\u00e8ks Kapital Imen Plis (HCI+), sou yon ech\u00e8l 0 rive 325. Li se s\u00f2m twa n\u00f2t pilye yo, kidonk li pa dwe janm par\u00e8t nan menm pil ak yo. Li kouvri tou de s\u00e8ks. Ech\u00e8l 0 rive 325.", "en": "Overall HCI+ score, total", "fr": "Score global HCI+, total", "ht": "N\u00f2t global HCI+, total" } } }, "name": { "en": "Human Capital Index Plus (HCI+)", "fr": "Indice de capital humain augment\u00e9 (HCI+)", "ht": "End\u00e8ks Kapital Imen Plis (HCI+)" }, "observations": [ { "area_type": "NATIONAL", "component": "ALL", "frequency": "A", "measure": "OVERALL_TOTAL", "period": "2025", "source_id": "wb_wdi", "status": "observed", "value": 141.173976068942, "vintage_date": "2026-08-11" }, { "area_type": "NATIONAL", "component": "ALL", "frequency": "A", "measure": "ONTHEJOB_MALE", "period": "2020", "source_id": "wb_wdi", "status": "observed", "value": 27.3304804965171, "vintage_date": "2026-08-11" }, { "area_type": "NATIONAL", "component": "ALL", "frequency": "A", "measure": "ONTHEJOB_MALE", "period": "2025", "source_id": "wb_wdi", "status": "observed", "value": 26.3903662828956, "vintage_date": "2026-08-11" }, { "area_type": "NATIONAL", "component": "ALL", "frequency": "A", "measure": "ONTHEJOB_TOTAL", "period": "2020", "source_id": "wb_wdi", "status": "observed", "value": 23.0033358733225, "vintage_date": "2026-08-11" }, { "area_type": "NATIONAL", "component": "ALL", "frequency": "A", "measure": "ONTHEJOB_TOTAL", "period": "2025", "source_id": "wb_wdi", "status": "observed", "value": 21.1927215773838, "vintage_date": "2026-08-11" }, { "area_type": "NATIONAL", "component": "ALL", "frequency": "A", "measure": "HEALTH_FEMALE", "period": "2010", "source_id": "wb_wdi", "status": "observed", "value": 38.9753021013737, "vintage_date": "2026-08-11" }, { "area_type": "NATIONAL", "component": "ALL", "frequency": "A", "measure": "HEALTH_FEMALE", "period": "2015", "source_id": "wb_wdi", "status": "observed", "value": 40.2677878510952, "vintage_date": "2026-08-11" }, { "area_type": "NATIONAL", "component": "ALL", "frequency": "A", "measure": "HEALTH_FEMALE", "period": "2020", "source_id": "wb_wdi", "status": "observed", "value": 40.710965731144, "vintage_date": "2026-08-11" }, { "area_type": "NATIONAL", "component": "ALL", "frequency": "A", "measure": "HEALTH_FEMALE", "period": "2025", "source_id": "wb_wdi", "status": "observed", "value": 41.153475394249, "vintage_date": "2026-08-11" }, { "area_type": "NATIONAL", "component": "ALL", "frequency": "A", "measure": "HEALTH_MALE", "period": "2010", "source_id": "wb_wdi", "status": "observed", "value": 35.8444813799858, "vintage_date": "2026-08-11" }, { "area_type": "NATIONAL", "component": "ALL", "frequency": "A", "measure": "HEALTH_MALE", "period": "2015", "source_id": "wb_wdi", "status": "observed", "value": 36.375191180706, "vintage_date": "2026-08-11" }, { "area_type": "NATIONAL", "component": "ALL", "frequency": "A", "measure": "HEALTH_MALE", "period": "2020", "source_id": "wb_wdi", "status": "observed", "value": 36.796541390419, "vintage_date": "2026-08-11" }, { "area_type": "NATIONAL", "component": "ALL", "frequency": "A", "measure": "HEALTH_MALE", "period": "2025", "source_id": "wb_wdi", "status": "observed", "value": 36.5334126842022, "vintage_date": "2026-08-11" }, { "area_type": "NATIONAL", "component": "ALL", "frequency": "A", "measure": "HEALTH_TOTAL", "period": "2010", "source_id": "wb_wdi", "status": "observed", "value": 37.3969952630997, "vintage_date": "2026-08-11" }, { "area_type": "NATIONAL", "component": "ALL", "frequency": "A", "measure": "HEALTH_TOTAL", "period": "2015", "source_id": "wb_wdi", "status": "observed", "value": 38.3076176762581, "vintage_date": "2026-08-11" }, { "area_type": "NATIONAL", "component": "ALL", "frequency": "A", "measure": "HEALTH_TOTAL", "period": "2020", "source_id": "wb_wdi", "status": "observed", "value": 38.7415663075447, "vintage_date": "2026-08-11" }, { "area_type": "NATIONAL", "component": "ALL", "frequency": "A", "measure": "HEALTH_TOTAL", "period": "2025", "source_id": "wb_wdi", "status": "observed", "value": 38.8110490751267, "vintage_date": "2026-08-11" }, { "area_type": "NATIONAL", "component": "ALL", "frequency": "A", "measure": "EDUCATION_FEMALE", "period": "2020", "source_id": "wb_wdi", "status": "observed", "value": 82.9408034523909, "vintage_date": "2026-08-11" }, { "area_type": "NATIONAL", "component": "ALL", "frequency": "A", "measure": "EDUCATION_FEMALE", "period": "2025", "source_id": "wb_wdi", "status": "observed", "value": 82.839136522991, "vintage_date": "2026-08-11" }, { "area_type": "NATIONAL", "component": "ALL", "frequency": "A", "measure": "EDUCATION_MALE", "period": "2020", "source_id": "wb_wdi", "status": "observed", "value": 80.8113113385946, "vintage_date": "2026-08-11" }, { "area_type": "NATIONAL", "component": "ALL", "frequency": "A", "measure": "EDUCATION_MALE", "period": "2025", "source_id": "wb_wdi", "status": "observed", "value": 79.8408253797263, "vintage_date": "2026-08-11" }, { "area_type": "NATIONAL", "component": "ALL", "frequency": "A", "measure": "EDUCATION_TOTAL", "period": "2020", "source_id": "wb_wdi", "status": "observed", "value": 81.7119833532207, "vintage_date": "2026-08-11" }, { "area_type": "NATIONAL", "component": "ALL", "frequency": "A", "measure": "EDUCATION_TOTAL", "period": "2025", "source_id": "wb_wdi", "status": "observed", "value": 81.1702054164317, "vintage_date": "2026-08-11" }, { "area_type": "NATIONAL", "component": "ALL", "frequency": "A", "measure": "OVERALL_FEMALE", "period": "2020", "source_id": "wb_wdi", "status": "observed", "value": 142.001651319602, "vintage_date": "2026-08-11" }, { "area_type": "NATIONAL", "component": "ALL", "frequency": "A", "measure": "OVERALL_FEMALE", "period": "2025", "source_id": "wb_wdi", "status": "observed", "value": 139.723997538311, "vintage_date": "2026-08-11" }, { "area_type": "NATIONAL", "component": "ALL", "frequency": "A", "measure": "OVERALL_MALE", "period": "2020", "source_id": "wb_wdi", "status": "observed", "value": 144.938333225531, "vintage_date": "2026-08-11" }, { "area_type": "NATIONAL", "component": "ALL", "frequency": "A", "measure": "OVERALL_MALE", "period": "2025", "source_id": "wb_wdi", "status": "observed", "value": 142.764604346824, "vintage_date": "2026-08-11" }, { "area_type": "NATIONAL", "component": "ALL", "frequency": "A", "measure": "OVERALL_TOTAL", "period": "2020", "source_id": "wb_wdi", "status": "observed", "value": 143.456885534088, "vintage_date": "2026-08-11" }, { "area_type": "NATIONAL", "component": "ALL", "frequency": "A", "measure": "ONTHEJOB_FEMALE", "period": "2025", "source_id": "wb_wdi", "status": "observed", "value": 15.7313856210712, "vintage_date": "2026-08-11" }, { "area_type": "NATIONAL", "component": "ALL", "frequency": "A", "measure": "ONTHEJOB_FEMALE", "period": "2020", "source_id": "wb_wdi", "status": "observed", "value": 18.3498821360671, "vintage_date": "2026-08-11" } ], "sector": "socio", "sectors": [ "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 twelve series are pulled from the World Bank WDI API for Haiti (HTI). The\nsex is baked into the measure code because the extractor overrides exactly one\ndimension per concept key:\n\n OVERALL_TOTAL HD_HCIP_OVRL_TO Overall score, total (0 to 325)\n OVERALL_MALE HD_HCIP_OVRL_MA Overall score, male (0 to 325)\n OVERALL_FEMALE HD_HCIP_OVRL_FE Overall score, female (0 to 325)\n EDUCATION_TOTAL HD_HCIP_EDUC_TO Education pillar, total (0 to 188)\n EDUCATION_MALE HD_HCIP_EDUC_MA Education pillar, male (0 to 188)\n EDUCATION_FEMALE HD_HCIP_EDUC_FE Education pillar, female (0 to 188)\n HEALTH_TOTAL HD_HCIP_HLTH_TO Health pillar, total (0 to 50)\n HEALTH_MALE HD_HCIP_HLTH_MA Health pillar, male (0 to 50)\n HEALTH_FEMALE HD_HCIP_HLTH_FE Health pillar, female (0 to 50)\n ONTHEJOB_TOTAL HD_HCIP_OTJL_TO On-the-job learning, total (-30 to 87)\n ONTHEJOB_MALE HD_HCIP_OTJL_MA On-the-job learning, male (-30 to 87)\n ONTHEJOB_FEMALE HD_HCIP_OTJL_FE On-the-job learning, female (-30 to 87)\n\n**Why sex is a measure code and not a dimension.** `WbWdiExtractor.fetch`\nsplits a concept key on its first dot and treats the remainder as a single\ndimension override. A two-part suffix such as\n`human_capital_index_plus.OVERALL.component=BTSX` does not raise an error; it\nparses to an override on a dimension literally named `OVERALL.component`, the\npillar is lost, and the rows land under a dimension no codelist declares.\nBaking the sex into twelve measure codes keeps one override per key, keeps all\ntwelve series, and needs no change to the extractor. The cost is that a reader\ncannot facet by sex independently of pillar, which was accepted in exchange\nfor retaining the sex split.\n\n**HCI+ is not HCI.** The classic Human Capital Index expresses the\nproductivity of a future worker relative to a benchmark of complete education\nand full health, and runs from 0 to 1; Haiti is commonly quoted near 0.45 on\nit. HCI+ (Human Capital Index Plus) extends the framework to include human\ncapital accumulated after schooling and reports on a 0 to 325 scale built\nfrom three pillar ceilings: 188 for education, 50 for health, 87 for\non-the-job learning. A value of 141 on HCI+ and a value of 0.45 on HCI are\nnot two readings of the same quantity, and the two must not be mixed in one\nseries or one sentence without naming both indices.\n\n**The additive identity.** For Haiti, in both 2020 and 2025 and for each of\nthe three sex breakdowns, the three pillar scores sum to the overall score to\nwithin rounding (2025, both sexes: 81.170 + 38.811 + 21.193 = 141.174, which\nis the published overall value). The pillar ceilings likewise sum to 325. This\nmakes a stacked chart of the three pillars a valid decomposition of the total,\nand it makes any chart or table that shows the overall score alongside the\npillars in an additive context a double count.\n\n**Coverage.** The education, on-the-job and overall series carry two\nobservations each, 2020 and 2025. The health series carries four: 2010, 2015,\n2020 and 2025. Nothing between those years is published and nothing is\ninterpolated here. A two-point series supports a statement about direction\nand magnitude between the two vintages and nothing finer; it does not support\nan annual growth rate.\n\n**What the inputs are, and their weakness for Haiti.** The pillars are built\nfrom harmonised learning outcomes, expected years of schooling, child and\nadult survival, stunting prevalence, and labour-market measures of\npost-schooling skill accumulation. Haiti has no recent standardised learning\nassessment and no recent labour force survey, so the education and on-the-job\ninputs rely on older benchmarks and on regional patterns. Both the level and\nthe 2020 to 2025 change should be read as a modelled reading of Haiti's\nposition, and a revision to the model can move the series without any\nobserved change in Haiti.\n\nAttribution: World Bank staff calculations based on the Human Capital\nProject, via World Development Indicators. License: CC BY 4.0.", "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 twelve series are pulled from the World Bank WDI API for Haiti (HTI). The\nsex is baked into the measure code because the extractor overrides exactly one\ndimension per concept key:\n\n OVERALL_TOTAL HD_HCIP_OVRL_TO Overall score, total (0 to 325)\n OVERALL_MALE HD_HCIP_OVRL_MA Overall score, male (0 to 325)\n OVERALL_FEMALE HD_HCIP_OVRL_FE Overall score, female (0 to 325)\n EDUCATION_TOTAL HD_HCIP_EDUC_TO Education pillar, total (0 to 188)\n EDUCATION_MALE HD_HCIP_EDUC_MA Education pillar, male (0 to 188)\n EDUCATION_FEMALE HD_HCIP_EDUC_FE Education pillar, female (0 to 188)\n HEALTH_TOTAL HD_HCIP_HLTH_TO Health pillar, total (0 to 50)\n HEALTH_MALE HD_HCIP_HLTH_MA Health pillar, male (0 to 50)\n HEALTH_FEMALE HD_HCIP_HLTH_FE Health pillar, female (0 to 50)\n ONTHEJOB_TOTAL HD_HCIP_OTJL_TO On-the-job learning, total (-30 to 87)\n ONTHEJOB_MALE HD_HCIP_OTJL_MA On-the-job learning, male (-30 to 87)\n ONTHEJOB_FEMALE HD_HCIP_OTJL_FE On-the-job learning, female (-30 to 87)\n\n**Why sex is a measure code and not a dimension.** `WbWdiExtractor.fetch`\nsplits a concept key on its first dot and treats the remainder as a single\ndimension override. A two-part suffix such as\n`human_capital_index_plus.OVERALL.component=BTSX` does not raise an error; it\nparses to an override on a dimension literally named `OVERALL.component`, the\npillar is lost, and the rows land under a dimension no codelist declares.\nBaking the sex into twelve measure codes keeps one override per key, keeps all\ntwelve series, and needs no change to the extractor. The cost is that a reader\ncannot facet by sex independently of pillar, which was accepted in exchange\nfor retaining the sex split.\n\n**HCI+ is not HCI.** The classic Human Capital Index expresses the\nproductivity of a future worker relative to a benchmark of complete education\nand full health, and runs from 0 to 1; Haiti is commonly quoted near 0.45 on\nit. HCI+ (Human Capital Index Plus) extends the framework to include human\ncapital accumulated after schooling and reports on a 0 to 325 scale built\nfrom three pillar ceilings: 188 for education, 50 for health, 87 for\non-the-job learning. A value of 141 on HCI+ and a value of 0.45 on HCI are\nnot two readings of the same quantity, and the two must not be mixed in one\nseries or one sentence without naming both indices.\n\n**The additive identity.** For Haiti, in both 2020 and 2025 and for each of\nthe three sex breakdowns, the three pillar scores sum to the overall score to\nwithin rounding (2025, both sexes: 81.170 + 38.811 + 21.193 = 141.174, which\nis the published overall value). The pillar ceilings likewise sum to 325. This\nmakes a stacked chart of the three pillars a valid decomposition of the total,\nand it makes any chart or table that shows the overall score alongside the\npillars in an additive context a double count.\n\n**Coverage.** The education, on-the-job and overall series carry two\nobservations each, 2020 and 2025. The health series carries four: 2010, 2015,\n2020 and 2025. Nothing between those years is published and nothing is\ninterpolated here. A two-point series supports a statement about direction\nand magnitude between the two vintages and nothing finer; it does not support\nan annual growth rate.\n\n**What the inputs are, and their weakness for Haiti.** The pillars are built\nfrom harmonised learning outcomes, expected years of schooling, child and\nadult survival, stunting prevalence, and labour-market measures of\npost-schooling skill accumulation. Haiti has no recent standardised learning\nassessment and no recent labour force survey, so the education and on-the-job\ninputs rely on older benchmarks and on regional patterns. Both the level and\nthe 2020 to 2025 change should be read as a modelled reading of Haiti's\nposition, and a revision to the model can move the series without any\nobserved change in Haiti.\n\nAttribution: World Bank staff calculations based on the Human Capital\nProject, via World Development Indicators. License: CC BY 4.0.", "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": { "EDUCATION_FEMALE": "Score (0 to 188)", "EDUCATION_MALE": "Score (0 to 188)", "EDUCATION_TOTAL": "Score (0 to 188)", "HEALTH_FEMALE": "Score (0 to 50)", "HEALTH_MALE": "Score (0 to 50)", "HEALTH_TOTAL": "Score (0 to 50)", "ONTHEJOB_FEMALE": "Score (-30 to 87)", "ONTHEJOB_MALE": "Score (-30 to 87)", "ONTHEJOB_TOTAL": "Score (-30 to 87)", "OVERALL_FEMALE": "Score (0 to 325)", "OVERALL_MALE": "Score (0 to 325)", "OVERALL_TOTAL": "Score (0 to 325)" }, "views": [ { "chart_type": "bar", "default": true, "default_window": "all", "description": { "en": "The Human Capital Index Plus overall score on its 0 to 325 scale, for 2020 and 2025: 143.5 then 141.2. This is HCI+, not the classic 0-to-1 Human Capital Index quoted near 0.45 for Haiti, so the two figures are not interchangeable. Use the Measure selector for the male and female scores (142.8 and 139.7 in 2025). Source: World Bank Human Capital Project via WDI.", "fr": "Le score global de l'indice de capital humain augment\u00e9, sur son \u00e9chelle de 0 \u00e0 325, pour 2020 et 2025: 143,5 puis 141,2. Il s'agit du HCI+ et non de l'indice de capital humain classique de 0 \u00e0 1, cit\u00e9 autour de 0,45 pour Ha\u00efti: les deux chiffres ne sont pas interchangeables. Le s\u00e9lecteur de mesure donne les scores masculin et f\u00e9minin (142,8 et 139,7 en 2025). Source: Projet capital humain de la Banque mondiale via WDI.", "ht": "N\u00f2t global End\u00e8ks Kapital Imen Plis la, sou ech\u00e8l 0 rive 325 li a, pou 2020 ak 2025: 143,5 epi 141,2. Se HCI+ la, se pa end\u00e8ks kapital imen klasik 0 rive 1 an yo site b\u00f2 0,45 pou Ayiti: de chif yo pa ranplase youn l\u00f2t. S\u00e8vi ak seleksyon Mezi a pou n\u00f2t gason ak fanm (142,8 ak 139,7 an 2025). Sous: Pwoj\u00e8 Kapital Imen Bank Mondyal via WDI." }, "filters": { "measure": "OVERALL_TOTAL" }, "id": "overall", "name": { "en": "Overall HCI+ score", "fr": "Score global HCI+", "ht": "N\u00f2t global HCI+" } }, { "chart_type": "bar", "default": false, "default_window": "all", "description": { "en": "The education pillar on its own 0 to 188 scale: 81.7 in 2020 and 81.2 in 2025, which is 43% of the pillar's ceiling and Haiti's second-weakest showing after on-the-job learning. Girls out-score boys here (82.8 against 79.8 in 2025). The three pillars sum exactly to the overall score, so they are never added to it.", "fr": "Le pilier \u00e9ducation sur son \u00e9chelle propre de 0 \u00e0 188: 81,7 en 2020 et 81,2 en 2025, soit 43 % du plafond du pilier et le deuxi\u00e8me r\u00e9sultat le plus faible d'Ha\u00efti apr\u00e8s l'apprentissage en emploi. Les filles y devancent les gar\u00e7ons (82,8 contre 79,8 en 2025). La somme des trois piliers \u00e9gale exactement le score global: ils ne s'y ajoutent jamais.", "ht": "Pilye edikasyon an sou ech\u00e8l pa l 0 rive 188: 81,7 an 2020 ak 81,2 an 2025, sa vle di 43% plafon pilye a epi dezy\u00e8m rezilta ki pi f\u00e8b an Ayiti apre aprantisaj nan travay. Tifi depase tigason la (82,8 kont 79,8 an 2025). S\u00f2m twa pilye yo egal egzakteman n\u00f2t global la: yo pa janm ajoute sou li." }, "filters": { "measure": "EDUCATION_TOTAL" }, "id": "education_pillar", "name": { "en": "Education pillar", "fr": "Pilier \u00e9ducation", "ht": "Pilye edikasyon" } }, { "chart_type": "line", "default": false, "default_window": "all", "description": { "en": "The health pillar on its 0 to 50 scale, the only measure here with history before 2020: 2010, 2015, 2020 and 2025. It is also the only pillar that improved, from 37.4 to 38.8, and at 78% of its ceiling it is Haiti's strongest. Women score consistently higher than men (41.2 against 36.5 in 2025).", "fr": "Le pilier sant\u00e9 sur son \u00e9chelle de 0 \u00e0 50, seule mesure ici \u00e0 disposer d'un historique avant 2020: 2010, 2015, 2020 et 2025. C'est aussi le seul pilier en am\u00e9lioration, de 37,4 \u00e0 38,8, et \u00e0 78 % de son plafond le plus solide d'Ha\u00efti. Les femmes y devancent syst\u00e9matiquement les hommes (41,2 contre 36,5 en 2025).", "ht": "Pilye sante a sou ech\u00e8l 0 rive 50 li a, s\u00e8l mezi isit la ki gen istwa anvan 2020: 2010, 2015, 2020 ak 2025. Se s\u00e8l pilye ki amelyore tou, soti 37,4 rive 38,8, epi ak 78% plafon li se pi solid la an Ayiti. Fanm toujou depase gason (41,2 kont 36,5 an 2025)." }, "filters": { "measure": "HEALTH_TOTAL" }, "id": "health_pillar", "name": { "en": "Health pillar", "fr": "Pilier sant\u00e9", "ht": "Pilye sante" } }, { "chart_type": "bar", "default": false, "default_window": "all", "description": { "en": "Human capital accumulated after school, on a -30 to 87 scale: 23.0 in 2020 and 21.2 in 2025. At 24% of its ceiling this is Haiti's weakest pillar and the one driving the fall in the overall score. It also carries the widest sex gap of the three: 26.4 for men against 15.7 for women in 2025, which is what makes women's overall score lower even though they lead on education and health.", "fr": "Capital humain accumul\u00e9 apr\u00e8s la scolarit\u00e9, sur une \u00e9chelle de -30 \u00e0 87: 23,0 en 2020 et 21,2 en 2025. \u00c0 24 % de son plafond, c'est le pilier le plus faible d'Ha\u00efti et celui qui tire le score global vers le bas. Il porte aussi l'\u00e9cart entre sexes le plus large des trois: 26,4 pour les hommes contre 15,7 pour les femmes en 2025, ce qui explique le score global plus faible des femmes malgr\u00e9 leur avance en \u00e9ducation et en sant\u00e9.", "ht": "Kapital imen yo ranmase apre lek\u00f2l, sou yon ech\u00e8l -30 rive 87: 23,0 an 2020 ak 21,2 an 2025. Ak 24% plafon li, se pilye ki pi f\u00e8b an Ayiti epi se li k ap rale n\u00f2t global la desann. Li gen eka ant s\u00e8ks ki pi laj nan twa yo tou: 26,4 pou gason kont 15,7 pou fanm an 2025, sa ki f\u00e8 n\u00f2t global fanm yo pi ba malgre yo devan nan edikasyon ak sante." }, "filters": { "measure": "ONTHEJOB_TOTAL" }, "id": "on_the_job_pillar", "name": { "en": "On-the-job learning pillar", "fr": "Pilier apprentissage en emploi", "ht": "Pilye aprantisaj nan travay" } } ], "vintages": [ "2026-08-11" ] }