{
  "aggregates": {
    "component": {
      "NATIONAL": {
        "aggregate": true
      }
    }
  },
  "default_view": {
    "frequency": "A",
    "measure": "MPI"
  },
  "description": {
    "en": "**Composite measure of acute multidimensional poverty**, combining the\nincidence (headcount ratio H) and intensity (A) of deprivation across\n10 indicators in health, education, and living standards.\n\nMPI = H \u00d7 A. A person is identified as multidimensionally poor if they\nare deprived in a weighted sum of at least one-third of the 10 indicators.\nThe index ranges from 0 (no poverty) to 1 (maximum poverty).\n\nHaiti national estimates (2016-17 DHS): MPI = 0.200, H = 41.3%,\nA = 48.4%. Subnational breakdown covers 11 DHS survey regions, with\ndepartment-level MPI ranging from 0.059 (Aire M\u00e9tropolitaine) to\n0.296 (Grande Anse).\n\n**MULTIDIMENSIONAL measure, distinct from monetary poverty.**\nThis indicator captures deprivation in non-monetary dimensions (nutrition,\nchild mortality, education, housing, water, sanitation, electricity, assets,\ncooking fuel). It is complementary to, not a substitute for, the monetary\npoverty headcount (`poverty_headcount` indicator).\n\n**STALENESS WARNING (2016-17 vintage):** All estimates are based on the\n2016-17 DHS survey, approximately 9 years before this module's publication.\nConditions have changed substantially. Present with explicit vintage\nattribution; do not interpret as reflecting current conditions.\n",
    "fr": "**Mesure composite de la pauvret\u00e9 multidimensionnelle aigu\u00eb**, combinant\nl'incidence (taux de pauvret\u00e9 H) et l'intensit\u00e9 (A) des privations dans\n10 indicateurs couvrant la sant\u00e9, l'\u00e9ducation et les conditions de vie.\n\nIPM = H \u00d7 A. Ha\u00efti (2016-17, DHS) : IPM = 0,200, H = 41,3 %, A = 48,4 %.\n\n**AVERTISSEMENT D'OBSOLESCENCE :** Toutes les estimations sont bas\u00e9es sur\nl'enqu\u00eate DHS 2016-17, soit environ 9 ans avant la publication de ce module.\n",
    "ht": "**Mezi konpozit povrete miltidomansyon\u00e8l aig**, konbine ensidans (to H) ak\nentansite (A) deprivasyon nan 10 endikat\u00e8 nan sante, edikasyon ak kondisyon vi.\n\nMPI = H \u00d7 A. Ayiti (2016-17, DHS): MPI = 0,200, H = 41,3%, A = 48,4%.\n"
  },
  "dim_labels": {
    "area_type": {
      "en": "Geographic coverage"
    },
    "component": {
      "en": "DHS/EMMUS Haiti Survey Regions"
    },
    "measure": {
      "en": "Multidimensional Poverty Index measure"
    }
  },
  "document_series": [],
  "domain": "context",
  "downloadable": true,
  "facets": {
    "adjustment": [
      "NSA"
    ],
    "area_type": [
      "NATIONAL",
      "SUBNATIONAL"
    ],
    "component": [
      "DHS_ARTIBONITE",
      "DHS_CENTRE",
      "DHS_GRANDE_ANSE",
      "DHS_METRO",
      "DHS_NIPPES",
      "DHS_NORTH",
      "DHS_NORTH_EAST",
      "DHS_NORTH_WEST",
      "DHS_REST_WEST",
      "DHS_SOUTH",
      "DHS_SOUTH_EAST",
      "NATIONAL"
    ],
    "frequency": [
      "A"
    ],
    "measure": [
      "HEADCOUNT_H",
      "INTENSITY_A",
      "MPI"
    ]
  },
  "indicator_id": "multidimensional_poverty_index",
  "labels": {
    "area_type": {
      "NATIONAL": {
        "description": "Country-wide total.",
        "en": "National",
        "fr": "National",
        "ht": "Nasyonal"
      },
      "SUBNATIONAL": {
        "description": "Department- or region-level detail below the national total.",
        "en": "Subnational",
        "fr": "Infranational",
        "ht": "Enfranasyonal"
      }
    },
    "component": {
      "DHS_ARTIBONITE": {
        "description": "Artibonite department (CharacteristicId 412006; corresponds to HT05).",
        "description_fr": "D\u00e9partement de l'Artibonite (correspond \u00e0 HT05).",
        "description_ht": "Depatman Latibonit (koresponn ak HT05).",
        "en": "Artibonite",
        "fr": "Artibonite",
        "ht": "Latibonit"
      },
      "DHS_CENTRE": {
        "description": "Centre department (CharacteristicId 412007; corresponds to HT06).",
        "description_fr": "D\u00e9partement du Centre (correspond \u00e0 HT06).",
        "description_ht": "Depatman Sant (koresponn ak HT06).",
        "en": "Centre",
        "fr": "Centre",
        "ht": "Sant"
      },
      "DHS_GRANDE_ANSE": {
        "description": "Grande-Anse department (CharacteristicId 412010; corresponds to HT08).",
        "description_fr": "D\u00e9partement de la Grande-Anse (correspond \u00e0 HT08).",
        "description_ht": "Depatman Grandans (koresponn ak HT08).",
        "en": "Grande-Anse",
        "fr": "Grande-Anse",
        "ht": "Grandans"
      },
      "DHS_METRO": {
        "description": "Port-au-Prince metropolitan area; subset of the Ouest department (CharacteristicId 412001).",
        "description_fr": "Zone m\u00e9tropolitaine de Port-au-Prince; sous-ensemble du d\u00e9partement de l'Ouest.",
        "description_ht": "Z\u00f2n metwopolit\u00e8n P\u00f2toprens; sou-ansanm depatman Lw\u00e8s la.",
        "en": "Metropolitan area (Ouest)",
        "fr": "Zone m\u00e9tropolitaine (Ouest)",
        "ht": "Z\u00f2n metwopolit\u00e8n (Lw\u00e8s)"
      },
      "DHS_NIPPES": {
        "description": "Nippes department (CharacteristicId 412011; corresponds to HT10).",
        "description_fr": "D\u00e9partement des Nippes (correspond \u00e0 HT10).",
        "description_ht": "Depatman Nip (koresponn ak HT10).",
        "en": "Nippes",
        "fr": "Nippes",
        "ht": "Nip"
      },
      "DHS_NORTH": {
        "description": "Nord department (CharacteristicId 412004; corresponds to HT03).",
        "description_fr": "D\u00e9partement du Nord (correspond \u00e0 HT03).",
        "description_ht": "Depatman N\u00f2 (koresponn ak HT03).",
        "en": "North (Nord)",
        "fr": "Nord",
        "ht": "N\u00f2"
      },
      "DHS_NORTH_EAST": {
        "description": "Nord-Est department (CharacteristicId 412005; corresponds to HT04).",
        "description_fr": "D\u00e9partement du Nord-Est (correspond \u00e0 HT04).",
        "description_ht": "Depatman N\u00f2d\u00e8s (koresponn ak HT04).",
        "en": "North-East (Nord-Est)",
        "fr": "Nord-Est",
        "ht": "N\u00f2d\u00e8s"
      },
      "DHS_NORTH_WEST": {
        "description": "Nord-Ouest department (CharacteristicId 412012; corresponds to HT09).",
        "description_fr": "D\u00e9partement du Nord-Ouest (correspond \u00e0 HT09).",
        "description_ht": "Depatman N\u00f2dw\u00e8s (koresponn ak HT09).",
        "en": "North-West (Nord-Ouest)",
        "fr": "Nord-Ouest",
        "ht": "N\u00f2dw\u00e8s"
      },
      "DHS_REST_WEST": {
        "description": "Ouest department outside the Port-au-Prince metro area (CharacteristicId 412002).",
        "description_fr": "D\u00e9partement de l'Ouest hors zone m\u00e9tropolitaine de Port-au-Prince.",
        "description_ht": "Depatman Lw\u00e8s andey\u00f2 z\u00f2n metwopolit\u00e8n P\u00f2toprens.",
        "en": "Rest of West",
        "fr": "Reste de l'Ouest",
        "ht": "R\u00e8s Lw\u00e8s"
      },
      "DHS_SOUTH": {
        "description": "Sud department (CharacteristicId 412008; corresponds to HT07).",
        "description_fr": "D\u00e9partement du Sud (correspond \u00e0 HT07).",
        "description_ht": "Depatman Sid (koresponn ak HT07).",
        "en": "South (Sud)",
        "fr": "Sud",
        "ht": "Sid"
      },
      "DHS_SOUTH_EAST": {
        "description": "Sud-Est department (CharacteristicId 412003; corresponds to HT02).",
        "description_fr": "D\u00e9partement du Sud-Est (correspond \u00e0 HT02).",
        "description_ht": "Depatman Sid\u00e8s (koresponn ak HT02).",
        "en": "South-East (Sud-Est)",
        "fr": "Sud-Est",
        "ht": "Sid\u00e8s"
      },
      "NATIONAL": {
        "description": "Haiti national total across all 12 survey regions.",
        "description_fr": "Total national Ha\u00efti sur les 12 r\u00e9gions d'enqu\u00eate.",
        "description_ht": "Total nasyonal Ayiti nan tout 12 rejyon sondaj yo.",
        "en": "National (Haiti total)",
        "fr": "National (total Ha\u00efti)",
        "ht": "Nasyonal (total Ayiti)"
      }
    },
    "frequency": {
      "A": {
        "en": "Annual",
        "fr": "Annuel",
        "ht": "Chak ane"
      }
    },
    "measure": {
      "HEADCOUNT_H": {
        "description": "Share of the population identified as multidimensionally poor (deprived in a weighted sum of at least one-third of the ten MPI indicators). Reported as a percentage of the total population.\n",
        "description_fr": "Part de la population identifi\u00e9e comme multidimensionnellement pauvre (%).",
        "description_ht": "Pati nan popilasyon yo idantifye k\u00f2m p\u00f2v an fason miltidomansyon\u00e8l (%).",
        "en": "Multidimensional headcount ratio (H)",
        "fr": "Taux de pauvret\u00e9 multidimensionnelle (H)",
        "ht": "To povrete miltidomansyon\u00e8l (H)"
      },
      "INTENSITY_A": {
        "description": "Average share of weighted deprivations experienced by people identified as multidimensionally poor. Ranges from 33.3% (minimum: poor people deprived in exactly one-third of indicators) to 100% (deprived in all). Reported as a percentage.\n",
        "description_fr": "Part moyenne pond\u00e9r\u00e9e des privations v\u00e9cues par les personnes pauvres en termes multidimensionnels (%).",
        "description_ht": "Pati mwayen ponder\u00e9 deprivasyon moun p\u00f2v miltidomansyon\u00e8l yo f\u00e8 eksperyans (%).",
        "en": "Intensity of deprivation among the poor (A)",
        "fr": "Intensit\u00e9 des privations parmi les pauvres (A)",
        "ht": "Entansite deprivasyon pami p\u00f2v yo (A)"
      },
      "MPI": {
        "description": "Composite MPI value = H \u00d7 A. Dimensionless index ranging from 0 (no multidimensional poverty) to 1 (maximum). OPHI Global MPI definition.\n",
        "description_fr": "Valeur composite IPM = H \u00d7 A. Indice sans dimension entre 0 et 1.",
        "description_ht": "Val\u00e8 konpozit MPI = H \u00d7 A. Endis san dimansyon ant 0 ak 1.",
        "en": "Multidimensional Poverty Index (MPI)",
        "fr": "Indice de pauvret\u00e9 multidimensionnelle (IPM)",
        "ht": "Endis povrete miltidomansyon\u00e8l (MPI)"
      }
    }
  },
  "name": {
    "en": "Multidimensional Poverty Index (MPI)",
    "fr": "Indice de Pauvret\u00e9 Multidimensionnelle (IPM)",
    "ht": "Endis Povrete Miltidomansyon\u00e8l (MPI)"
  },
  "observations": [
    {
      "area_type": "NATIONAL",
      "component": "NATIONAL",
      "frequency": "A",
      "measure": "MPI",
      "notes": "OPHI Global MPI 2025; Haiti 2016-17 DHS (EMMUS V) vintage. Approximately 9 years old; do not interpret as current conditions. CC BY 4.0 \u2014 cite OPHI + UNDP HDR Office. MPI_QC: H\u00d7A=0.199588\u2248MPI=0.199588 (pass).",
      "period": "2016",
      "source_id": "ophi_mpi",
      "status": "observed",
      "value": 0.199587694,
      "vintage_date": "2025-10-17"
    },
    {
      "area_type": "SUBNATIONAL",
      "component": "DHS_NORTH",
      "frequency": "A",
      "measure": "INTENSITY_A",
      "notes": "OPHI region 'Nord' \u2192 dhs_region:DHS_NORTH. OPHI Global MPI 2025; Haiti 2016-17 DHS (EMMUS V) vintage. Approximately 9 years old; do not interpret as current conditions. CC BY 4.0 \u2014 cite OPHI + UNDP HDR Office.",
      "period": "2016",
      "source_id": "ophi_mpi",
      "status": "observed",
      "value": 47.574067761461095,
      "vintage_date": "2025-10-17"
    },
    {
      "area_type": "SUBNATIONAL",
      "component": "DHS_NORTH_EAST",
      "frequency": "A",
      "measure": "MPI",
      "notes": "OPHI region 'Nord-Est' \u2192 dhs_region:DHS_NORTH_EAST. OPHI Global MPI 2025; Haiti 2016-17 DHS (EMMUS V) vintage. Approximately 9 years old; do not interpret as current conditions. CC BY 4.0 \u2014 cite OPHI + UNDP HDR Office.",
      "period": "2016",
      "source_id": "ophi_mpi",
      "status": "observed",
      "value": 0.2030207624734716,
      "vintage_date": "2025-10-17"
    },
    {
      "area_type": "SUBNATIONAL",
      "component": "DHS_NORTH_EAST",
      "frequency": "A",
      "measure": "HEADCOUNT_H",
      "notes": "OPHI region 'Nord-Est' \u2192 dhs_region:DHS_NORTH_EAST. OPHI Global MPI 2025; Haiti 2016-17 DHS (EMMUS V) vintage. Approximately 9 years old; do not interpret as current conditions. CC BY 4.0 \u2014 cite OPHI + UNDP HDR Office.",
      "period": "2016",
      "source_id": "ophi_mpi",
      "status": "observed",
      "value": 43.14219440781681,
      "vintage_date": "2025-10-17"
    },
    {
      "area_type": "SUBNATIONAL",
      "component": "DHS_NORTH_EAST",
      "frequency": "A",
      "measure": "INTENSITY_A",
      "notes": "OPHI region 'Nord-Est' \u2192 dhs_region:DHS_NORTH_EAST. OPHI Global MPI 2025; Haiti 2016-17 DHS (EMMUS V) vintage. Approximately 9 years old; do not interpret as current conditions. CC BY 4.0 \u2014 cite OPHI + UNDP HDR Office.",
      "period": "2016",
      "source_id": "ophi_mpi",
      "status": "observed",
      "value": 47.058515511368334,
      "vintage_date": "2025-10-17"
    },
    {
      "area_type": "SUBNATIONAL",
      "component": "DHS_NORTH_WEST",
      "frequency": "A",
      "measure": "MPI",
      "notes": "OPHI region 'Nord-Ouest' \u2192 dhs_region:DHS_NORTH_WEST. OPHI Global MPI 2025; Haiti 2016-17 DHS (EMMUS V) vintage. Approximately 9 years old; do not interpret as current conditions. CC BY 4.0 \u2014 cite OPHI + UNDP HDR Office.",
      "period": "2016",
      "source_id": "ophi_mpi",
      "status": "observed",
      "value": 0.2302739739727249,
      "vintage_date": "2025-10-17"
    },
    {
      "area_type": "SUBNATIONAL",
      "component": "DHS_NORTH_WEST",
      "frequency": "A",
      "measure": "HEADCOUNT_H",
      "notes": "OPHI region 'Nord-Ouest' \u2192 dhs_region:DHS_NORTH_WEST. OPHI Global MPI 2025; Haiti 2016-17 DHS (EMMUS V) vintage. Approximately 9 years old; do not interpret as current conditions. CC BY 4.0 \u2014 cite OPHI + UNDP HDR Office.",
      "period": "2016",
      "source_id": "ophi_mpi",
      "status": "observed",
      "value": 49.997995610050275,
      "vintage_date": "2025-10-17"
    },
    {
      "area_type": "SUBNATIONAL",
      "component": "DHS_NORTH",
      "frequency": "A",
      "measure": "HEADCOUNT_H",
      "notes": "OPHI region 'Nord' \u2192 dhs_region:DHS_NORTH. OPHI Global MPI 2025; Haiti 2016-17 DHS (EMMUS V) vintage. Approximately 9 years old; do not interpret as current conditions. CC BY 4.0 \u2014 cite OPHI + UNDP HDR Office.",
      "period": "2016",
      "source_id": "ophi_mpi",
      "status": "observed",
      "value": 40.96250668542064,
      "vintage_date": "2025-10-17"
    },
    {
      "area_type": "SUBNATIONAL",
      "component": "DHS_NORTH_WEST",
      "frequency": "A",
      "measure": "INTENSITY_A",
      "notes": "OPHI region 'Nord-Ouest' \u2192 dhs_region:DHS_NORTH_WEST. OPHI Global MPI 2025; Haiti 2016-17 DHS (EMMUS V) vintage. Approximately 9 years old; do not interpret as current conditions. CC BY 4.0 \u2014 cite OPHI + UNDP HDR Office.",
      "period": "2016",
      "source_id": "ophi_mpi",
      "status": "observed",
      "value": 46.05664110391592,
      "vintage_date": "2025-10-17"
    },
    {
      "area_type": "SUBNATIONAL",
      "component": "DHS_REST_WEST",
      "frequency": "A",
      "measure": "HEADCOUNT_H",
      "notes": "OPHI region 'Rest-Ouest' \u2192 dhs_region:DHS_REST_WEST. OPHI Global MPI 2025; Haiti 2016-17 DHS (EMMUS V) vintage. Approximately 9 years old; do not interpret as current conditions. CC BY 4.0 \u2014 cite OPHI + UNDP HDR Office.",
      "period": "2016",
      "source_id": "ophi_mpi",
      "status": "observed",
      "value": 45.709165057232084,
      "vintage_date": "2025-10-17"
    },
    {
      "area_type": "SUBNATIONAL",
      "component": "DHS_REST_WEST",
      "frequency": "A",
      "measure": "INTENSITY_A",
      "notes": "OPHI region 'Rest-Ouest' \u2192 dhs_region:DHS_REST_WEST. OPHI Global MPI 2025; Haiti 2016-17 DHS (EMMUS V) vintage. Approximately 9 years old; do not interpret as current conditions. CC BY 4.0 \u2014 cite OPHI + UNDP HDR Office.",
      "period": "2016",
      "source_id": "ophi_mpi",
      "status": "observed",
      "value": 50.373503697989705,
      "vintage_date": "2025-10-17"
    },
    {
      "area_type": "SUBNATIONAL",
      "component": "DHS_SOUTH",
      "frequency": "A",
      "measure": "MPI",
      "notes": "OPHI region 'Sud' \u2192 dhs_region:DHS_SOUTH. OPHI Global MPI 2025; Haiti 2016-17 DHS (EMMUS V) vintage. Approximately 9 years old; do not interpret as current conditions. CC BY 4.0 \u2014 cite OPHI + UNDP HDR Office.",
      "period": "2016",
      "source_id": "ophi_mpi",
      "status": "observed",
      "value": 0.2261192365450116,
      "vintage_date": "2025-10-17"
    },
    {
      "area_type": "SUBNATIONAL",
      "component": "DHS_SOUTH",
      "frequency": "A",
      "measure": "HEADCOUNT_H",
      "notes": "OPHI region 'Sud' \u2192 dhs_region:DHS_SOUTH. OPHI Global MPI 2025; Haiti 2016-17 DHS (EMMUS V) vintage. Approximately 9 years old; do not interpret as current conditions. CC BY 4.0 \u2014 cite OPHI + UNDP HDR Office.",
      "period": "2016",
      "source_id": "ophi_mpi",
      "status": "observed",
      "value": 45.96639620382382,
      "vintage_date": "2025-10-17"
    },
    {
      "area_type": "SUBNATIONAL",
      "component": "DHS_SOUTH",
      "frequency": "A",
      "measure": "INTENSITY_A",
      "notes": "OPHI region 'Sud' \u2192 dhs_region:DHS_SOUTH. OPHI Global MPI 2025; Haiti 2016-17 DHS (EMMUS V) vintage. Approximately 9 years old; do not interpret as current conditions. CC BY 4.0 \u2014 cite OPHI + UNDP HDR Office.",
      "period": "2016",
      "source_id": "ophi_mpi",
      "status": "observed",
      "value": 49.1922915910909,
      "vintage_date": "2025-10-17"
    },
    {
      "area_type": "SUBNATIONAL",
      "component": "DHS_SOUTH_EAST",
      "frequency": "A",
      "measure": "MPI",
      "notes": "OPHI region 'Sud-Est' \u2192 dhs_region:DHS_SOUTH_EAST. OPHI Global MPI 2025; Haiti 2016-17 DHS (EMMUS V) vintage. Approximately 9 years old; do not interpret as current conditions. CC BY 4.0 \u2014 cite OPHI + UNDP HDR Office.",
      "period": "2016",
      "source_id": "ophi_mpi",
      "status": "observed",
      "value": 0.2245172881584468,
      "vintage_date": "2025-10-17"
    },
    {
      "area_type": "SUBNATIONAL",
      "component": "DHS_REST_WEST",
      "frequency": "A",
      "measure": "MPI",
      "notes": "OPHI region 'Rest-Ouest' \u2192 dhs_region:DHS_REST_WEST. OPHI Global MPI 2025; Haiti 2016-17 DHS (EMMUS V) vintage. Approximately 9 years old; do not interpret as current conditions. CC BY 4.0 \u2014 cite OPHI + UNDP HDR Office.",
      "period": "2016",
      "source_id": "ophi_mpi",
      "status": "observed",
      "value": 0.2302530795042501,
      "vintage_date": "2025-10-17"
    },
    {
      "area_type": "SUBNATIONAL",
      "component": "DHS_NORTH",
      "frequency": "A",
      "measure": "MPI",
      "notes": "OPHI region 'Nord' \u2192 dhs_region:DHS_NORTH. OPHI Global MPI 2025; Haiti 2016-17 DHS (EMMUS V) vintage. Approximately 9 years old; do not interpret as current conditions. CC BY 4.0 \u2014 cite OPHI + UNDP HDR Office.",
      "period": "2016",
      "source_id": "ophi_mpi",
      "status": "observed",
      "value": 0.1948753068731506,
      "vintage_date": "2025-10-17"
    },
    {
      "area_type": "SUBNATIONAL",
      "component": "DHS_NIPPES",
      "frequency": "A",
      "measure": "INTENSITY_A",
      "notes": "OPHI region 'Nippes' \u2192 dhs_region:DHS_NIPPES. OPHI Global MPI 2025; Haiti 2016-17 DHS (EMMUS V) vintage. Approximately 9 years old; do not interpret as current conditions. CC BY 4.0 \u2014 cite OPHI + UNDP HDR Office.",
      "period": "2016",
      "source_id": "ophi_mpi",
      "status": "observed",
      "value": 44.76754506633795,
      "vintage_date": "2025-10-17"
    },
    {
      "area_type": "SUBNATIONAL",
      "component": "DHS_NIPPES",
      "frequency": "A",
      "measure": "HEADCOUNT_H",
      "notes": "OPHI region 'Nippes' \u2192 dhs_region:DHS_NIPPES. OPHI Global MPI 2025; Haiti 2016-17 DHS (EMMUS V) vintage. Approximately 9 years old; do not interpret as current conditions. CC BY 4.0 \u2014 cite OPHI + UNDP HDR Office.",
      "period": "2016",
      "source_id": "ophi_mpi",
      "status": "observed",
      "value": 41.78974990950571,
      "vintage_date": "2025-10-17"
    },
    {
      "area_type": "NATIONAL",
      "component": "NATIONAL",
      "frequency": "A",
      "measure": "HEADCOUNT_H",
      "notes": "OPHI Global MPI 2025; Haiti 2016-17 DHS (EMMUS V) vintage. Approximately 9 years old; do not interpret as current conditions. CC BY 4.0 \u2014 cite OPHI + UNDP HDR Office. MPI_QC: H\u00d7A=0.199588\u2248MPI=0.199588 (pass).",
      "period": "2016",
      "source_id": "ophi_mpi",
      "status": "observed",
      "value": 41.26889832,
      "vintage_date": "2025-10-17"
    },
    {
      "area_type": "NATIONAL",
      "component": "NATIONAL",
      "frequency": "A",
      "measure": "INTENSITY_A",
      "notes": "OPHI Global MPI 2025; Haiti 2016-17 DHS (EMMUS V) vintage. Approximately 9 years old; do not interpret as current conditions. CC BY 4.0 \u2014 cite OPHI + UNDP HDR Office. MPI_QC: H\u00d7A=0.199588\u2248MPI=0.199588 (pass).",
      "period": "2016",
      "source_id": "ophi_mpi",
      "status": "observed",
      "value": 48.36273867,
      "vintage_date": "2025-10-17"
    },
    {
      "area_type": "SUBNATIONAL",
      "component": "DHS_METRO",
      "frequency": "A",
      "measure": "MPI",
      "notes": "OPHI region 'Aire M\u00e9tropolitaine' \u2192 dhs_region:DHS_METRO. OPHI Global MPI 2025; Haiti 2016-17 DHS (EMMUS V) vintage. Approximately 9 years old; do not interpret as current conditions. CC BY 4.0 \u2014 cite OPHI + UNDP HDR Office.",
      "period": "2016",
      "source_id": "ophi_mpi",
      "status": "observed",
      "value": 0.0588700931846139,
      "vintage_date": "2025-10-17"
    },
    {
      "area_type": "SUBNATIONAL",
      "component": "DHS_METRO",
      "frequency": "A",
      "measure": "HEADCOUNT_H",
      "notes": "OPHI region 'Aire M\u00e9tropolitaine' \u2192 dhs_region:DHS_METRO. OPHI Global MPI 2025; Haiti 2016-17 DHS (EMMUS V) vintage. Approximately 9 years old; do not interpret as current conditions. CC BY 4.0 \u2014 cite OPHI + UNDP HDR Office.",
      "period": "2016",
      "source_id": "ophi_mpi",
      "status": "observed",
      "value": 13.826536153692029,
      "vintage_date": "2025-10-17"
    },
    {
      "area_type": "SUBNATIONAL",
      "component": "DHS_METRO",
      "frequency": "A",
      "measure": "INTENSITY_A",
      "notes": "OPHI region 'Aire M\u00e9tropolitaine' \u2192 dhs_region:DHS_METRO. OPHI Global MPI 2025; Haiti 2016-17 DHS (EMMUS V) vintage. Approximately 9 years old; do not interpret as current conditions. CC BY 4.0 \u2014 cite OPHI + UNDP HDR Office.",
      "period": "2016",
      "source_id": "ophi_mpi",
      "status": "observed",
      "value": 42.5776149067488,
      "vintage_date": "2025-10-17"
    },
    {
      "area_type": "SUBNATIONAL",
      "component": "DHS_ARTIBONITE",
      "frequency": "A",
      "measure": "MPI",
      "notes": "OPHI region 'Artibonite' \u2192 dhs_region:DHS_ARTIBONITE. OPHI Global MPI 2025; Haiti 2016-17 DHS (EMMUS V) vintage. Approximately 9 years old; do not interpret as current conditions. CC BY 4.0 \u2014 cite OPHI + UNDP HDR Office.",
      "period": "2016",
      "source_id": "ophi_mpi",
      "status": "observed",
      "value": 0.2503158875337284,
      "vintage_date": "2025-10-17"
    },
    {
      "area_type": "SUBNATIONAL",
      "component": "DHS_ARTIBONITE",
      "frequency": "A",
      "measure": "HEADCOUNT_H",
      "notes": "OPHI region 'Artibonite' \u2192 dhs_region:DHS_ARTIBONITE. OPHI Global MPI 2025; Haiti 2016-17 DHS (EMMUS V) vintage. Approximately 9 years old; do not interpret as current conditions. CC BY 4.0 \u2014 cite OPHI + UNDP HDR Office.",
      "period": "2016",
      "source_id": "ophi_mpi",
      "status": "observed",
      "value": 50.62521984012698,
      "vintage_date": "2025-10-17"
    },
    {
      "area_type": "SUBNATIONAL",
      "component": "DHS_ARTIBONITE",
      "frequency": "A",
      "measure": "INTENSITY_A",
      "notes": "OPHI region 'Artibonite' \u2192 dhs_region:DHS_ARTIBONITE. OPHI Global MPI 2025; Haiti 2016-17 DHS (EMMUS V) vintage. Approximately 9 years old; do not interpret as current conditions. CC BY 4.0 \u2014 cite OPHI + UNDP HDR Office.",
      "period": "2016",
      "source_id": "ophi_mpi",
      "status": "observed",
      "value": 49.4448988713963,
      "vintage_date": "2025-10-17"
    },
    {
      "area_type": "SUBNATIONAL",
      "component": "DHS_CENTRE",
      "frequency": "A",
      "measure": "MPI",
      "notes": "OPHI region 'Centre' \u2192 dhs_region:DHS_CENTRE. OPHI Global MPI 2025; Haiti 2016-17 DHS (EMMUS V) vintage. Approximately 9 years old; do not interpret as current conditions. CC BY 4.0 \u2014 cite OPHI + UNDP HDR Office.",
      "period": "2016",
      "source_id": "ophi_mpi",
      "status": "observed",
      "value": 0.2935398755187234,
      "vintage_date": "2025-10-17"
    },
    {
      "area_type": "SUBNATIONAL",
      "component": "DHS_CENTRE",
      "frequency": "A",
      "measure": "HEADCOUNT_H",
      "notes": "OPHI region 'Centre' \u2192 dhs_region:DHS_CENTRE. OPHI Global MPI 2025; Haiti 2016-17 DHS (EMMUS V) vintage. Approximately 9 years old; do not interpret as current conditions. CC BY 4.0 \u2014 cite OPHI + UNDP HDR Office.",
      "period": "2016",
      "source_id": "ophi_mpi",
      "status": "observed",
      "value": 57.856576114632944,
      "vintage_date": "2025-10-17"
    },
    {
      "area_type": "SUBNATIONAL",
      "component": "DHS_CENTRE",
      "frequency": "A",
      "measure": "INTENSITY_A",
      "notes": "OPHI region 'Centre' \u2192 dhs_region:DHS_CENTRE. OPHI Global MPI 2025; Haiti 2016-17 DHS (EMMUS V) vintage. Approximately 9 years old; do not interpret as current conditions. CC BY 4.0 \u2014 cite OPHI + UNDP HDR Office.",
      "period": "2016",
      "source_id": "ophi_mpi",
      "status": "observed",
      "value": 50.735784111580365,
      "vintage_date": "2025-10-17"
    },
    {
      "area_type": "SUBNATIONAL",
      "component": "DHS_GRANDE_ANSE",
      "frequency": "A",
      "measure": "MPI",
      "notes": "OPHI region 'Grande Anse' \u2192 dhs_region:DHS_GRANDE_ANSE. OPHI Global MPI 2025; Haiti 2016-17 DHS (EMMUS V) vintage. Approximately 9 years old; do not interpret as current conditions. CC BY 4.0 \u2014 cite OPHI + UNDP HDR Office.",
      "period": "2016",
      "source_id": "ophi_mpi",
      "status": "observed",
      "value": 0.2963843258342638,
      "vintage_date": "2025-10-17"
    },
    {
      "area_type": "SUBNATIONAL",
      "component": "DHS_GRANDE_ANSE",
      "frequency": "A",
      "measure": "HEADCOUNT_H",
      "notes": "OPHI region 'Grande Anse' \u2192 dhs_region:DHS_GRANDE_ANSE. OPHI Global MPI 2025; Haiti 2016-17 DHS (EMMUS V) vintage. Approximately 9 years old; do not interpret as current conditions. CC BY 4.0 \u2014 cite OPHI + UNDP HDR Office.",
      "period": "2016",
      "source_id": "ophi_mpi",
      "status": "observed",
      "value": 60.70713216509369,
      "vintage_date": "2025-10-17"
    },
    {
      "area_type": "SUBNATIONAL",
      "component": "DHS_GRANDE_ANSE",
      "frequency": "A",
      "measure": "INTENSITY_A",
      "notes": "OPHI region 'Grande Anse' \u2192 dhs_region:DHS_GRANDE_ANSE. OPHI Global MPI 2025; Haiti 2016-17 DHS (EMMUS V) vintage. Approximately 9 years old; do not interpret as current conditions. CC BY 4.0 \u2014 cite OPHI + UNDP HDR Office.",
      "period": "2016",
      "source_id": "ophi_mpi",
      "status": "observed",
      "value": 48.8219942639101,
      "vintage_date": "2025-10-17"
    },
    {
      "area_type": "SUBNATIONAL",
      "component": "DHS_NIPPES",
      "frequency": "A",
      "measure": "MPI",
      "notes": "OPHI region 'Nippes' \u2192 dhs_region:DHS_NIPPES. OPHI Global MPI 2025; Haiti 2016-17 DHS (EMMUS V) vintage. Approximately 9 years old; do not interpret as current conditions. CC BY 4.0 \u2014 cite OPHI + UNDP HDR Office.",
      "period": "2016",
      "source_id": "ophi_mpi",
      "status": "observed",
      "value": 0.187082451238479,
      "vintage_date": "2025-10-17"
    },
    {
      "area_type": "SUBNATIONAL",
      "component": "DHS_SOUTH_EAST",
      "frequency": "A",
      "measure": "HEADCOUNT_H",
      "notes": "OPHI region 'Sud-Est' \u2192 dhs_region:DHS_SOUTH_EAST. OPHI Global MPI 2025; Haiti 2016-17 DHS (EMMUS V) vintage. Approximately 9 years old; do not interpret as current conditions. CC BY 4.0 \u2014 cite OPHI + UNDP HDR Office.",
      "period": "2016",
      "source_id": "ophi_mpi",
      "status": "observed",
      "value": 48.10095253563367,
      "vintage_date": "2025-10-17"
    },
    {
      "area_type": "SUBNATIONAL",
      "component": "DHS_SOUTH_EAST",
      "frequency": "A",
      "measure": "INTENSITY_A",
      "notes": "OPHI region 'Sud-Est' \u2192 dhs_region:DHS_SOUTH_EAST. OPHI Global MPI 2025; Haiti 2016-17 DHS (EMMUS V) vintage. Approximately 9 years old; do not interpret as current conditions. CC BY 4.0 \u2014 cite OPHI + UNDP HDR Office.",
      "period": "2016",
      "source_id": "ophi_mpi",
      "status": "observed",
      "value": 46.6762665442274,
      "vintage_date": "2025-10-17"
    }
  ],
  "sector": "poverty",
  "sectors": [
    "ZP",
    "ZM"
  ],
  "source": {
    "document_series": [],
    "format": "xlsx",
    "frequency_published": "annual",
    "id": "ophi_mpi",
    "license": "CC BY 4.0. Source: Alkire, S., Mishra, R., Selden, L. and Suppa, N. (2025). \"The global Multidimensional Poverty Index (MPI) 2025: Country results and methodological note\", OPHI MPI Methodological Note 62, University of Oxford. Cite OPHI + UNDP HDR Office. Data downloaded from ophi.org.uk and hdr.undp.org under Creative Commons Attribution 4.0 International.",
    "methodology_note": "## OPHI Global Multidimensional Poverty Index\n\nThe global MPI measures acute poverty as deprivation across ten indicators in three dimensions,\nusing the Alkire-Foster method developed by the Oxford Poverty and Human Development Initiative\nwith the UNDP Human Development Report Office. A person counts as multidimensionally poor when\ntheir weighted deprivations reach a third of the total.\n\n- **Health**, a sixth of the weight each: any household member malnourished; any child died in\n  the household.\n- **Education**, a sixth each: no adult completed six years of schooling; any school-age child\n  out of school through grade 8.\n- **Living standards**, an eighteenth each: solid cooking fuel; unimproved or shared sanitation;\n  unimproved water or water more than 30 minutes away; no electricity; inadequate floor, roof or\n  walls; lacking assets.\n\n**Three numbers, and the arithmetic between them.** The headcount is the share of people who are\npoor. The intensity is the average share of weighted deprivations those poor people face. The MPI\nvalue is the two multiplied, so it falls between 0 and 1 and moves with either.\n\n**Read every figure as 2016-17.** Haiti's MPI is computed from the 2016-17 DHS (EMMUS V), which\ncovered 14,335 households between October 2016 and January 2017. Everything since \u2014 the\npost-2018 security collapse, the 2021 earthquake and assassination, mass displacement, years of\neconomic contraction \u2014 falls after the fieldwork. These are not current poverty conditions.\n\n**Not the same thing as monetary poverty.** The MPI counts deprivations, not income or\nconsumption, so it identifies people as poor who sit above a monetary poverty line and misses\nsome who sit below it. The two belong side by side and neither substitutes for the other.\n\n**Subnational geography** follows the 11 DHS survey strata rather than the 10 departments: Ouest\nis split between the metropolitan area and the rest of the department.\n\nAttribution: OPHI Global MPI, based on Haiti DHS 2016-17 (EMMUS V); OPHI, University of Oxford,\nand the UNDP Human Development Report Office. CC BY 4.0.\n\n\nThe Global Multidimensional Poverty Index (MPI) is computed by OPHI using the\nAlkire-Foster methodology. A person is identified as multidimensionally poor if\ndeprived in a weighted sum of at least one-third of 10 indicators across three\ndimensions: health (nutrition, child mortality), education (years of schooling,\nschool attendance), and living standards (cooking fuel, sanitation, water,\nelectricity, housing, assets). Dimension weights: health 1/3, education 1/3,\nliving standards 1/3; individual indicators equally weighted within each dimension.\n\nKey metrics: MPI = H \u00d7 A (headcount ratio H times intensity A). Haiti national\n(2016-17 DHS): MPI = 0.200, H = 41.3%, A = 48.4%.\n\nData source: OPHI Global MPI 2025, computed from the 2016-17 Haiti EMMUS V survey\n(DHS Program, MSPP/IHE). National table from UNDP HDR mirror\n(hdr.undp.org); subnational table from ophi.org.uk. Subnational breakdown:\n11 DHS strata (10 departments, Ouest split into Aire Metropolitaine and Rest-Ouest).\n\nSTALENESS: All estimates are based on the 2016-17 DHS survey, approximately 9 years\nbefore publication. Present with explicit vintage attribution.\n\nAttribution: Alkire, S., et al. (2025), OPHI MPI Methodological Note 62, University\nof Oxford; and UNDP Human Development Report Office. License: CC BY 4.0.",
    "name": "OPHI Global Multidimensional Poverty Index, Haiti",
    "name_localized": {
      "en": "OPHI Global Multidimensional Poverty Index, Haiti",
      "fr": "OPHI Indice de Pauvret\u00e9 Multidimensionnelle Mondial, Ha\u00efti",
      "ht": "OPHI Endis Povrete Miltidomansyon\u00e8l Mondyal, Ayiti"
    },
    "provider": {
      "full": "Oxford Poverty and Human Development Initiative (OPHI) / UNDP Human Development Report Office",
      "short": "OPHI/UNDP",
      "type": "academic"
    },
    "url": "https://ophi.org.uk/global-mpi/2025"
  },
  "sources": {
    "ophi_mpi": {
      "document_series": [],
      "format": "xlsx",
      "frequency_published": "annual",
      "id": "ophi_mpi",
      "license": "CC BY 4.0. Source: Alkire, S., Mishra, R., Selden, L. and Suppa, N. (2025). \"The global Multidimensional Poverty Index (MPI) 2025: Country results and methodological note\", OPHI MPI Methodological Note 62, University of Oxford. Cite OPHI + UNDP HDR Office. Data downloaded from ophi.org.uk and hdr.undp.org under Creative Commons Attribution 4.0 International.",
      "methodology_note": "## OPHI Global Multidimensional Poverty Index\n\nThe global MPI measures acute poverty as deprivation across ten indicators in three dimensions,\nusing the Alkire-Foster method developed by the Oxford Poverty and Human Development Initiative\nwith the UNDP Human Development Report Office. A person counts as multidimensionally poor when\ntheir weighted deprivations reach a third of the total.\n\n- **Health**, a sixth of the weight each: any household member malnourished; any child died in\n  the household.\n- **Education**, a sixth each: no adult completed six years of schooling; any school-age child\n  out of school through grade 8.\n- **Living standards**, an eighteenth each: solid cooking fuel; unimproved or shared sanitation;\n  unimproved water or water more than 30 minutes away; no electricity; inadequate floor, roof or\n  walls; lacking assets.\n\n**Three numbers, and the arithmetic between them.** The headcount is the share of people who are\npoor. The intensity is the average share of weighted deprivations those poor people face. The MPI\nvalue is the two multiplied, so it falls between 0 and 1 and moves with either.\n\n**Read every figure as 2016-17.** Haiti's MPI is computed from the 2016-17 DHS (EMMUS V), which\ncovered 14,335 households between October 2016 and January 2017. Everything since \u2014 the\npost-2018 security collapse, the 2021 earthquake and assassination, mass displacement, years of\neconomic contraction \u2014 falls after the fieldwork. These are not current poverty conditions.\n\n**Not the same thing as monetary poverty.** The MPI counts deprivations, not income or\nconsumption, so it identifies people as poor who sit above a monetary poverty line and misses\nsome who sit below it. The two belong side by side and neither substitutes for the other.\n\n**Subnational geography** follows the 11 DHS survey strata rather than the 10 departments: Ouest\nis split between the metropolitan area and the rest of the department.\n\nAttribution: OPHI Global MPI, based on Haiti DHS 2016-17 (EMMUS V); OPHI, University of Oxford,\nand the UNDP Human Development Report Office. CC BY 4.0.\n\n\nThe Global Multidimensional Poverty Index (MPI) is computed by OPHI using the\nAlkire-Foster methodology. A person is identified as multidimensionally poor if\ndeprived in a weighted sum of at least one-third of 10 indicators across three\ndimensions: health (nutrition, child mortality), education (years of schooling,\nschool attendance), and living standards (cooking fuel, sanitation, water,\nelectricity, housing, assets). Dimension weights: health 1/3, education 1/3,\nliving standards 1/3; individual indicators equally weighted within each dimension.\n\nKey metrics: MPI = H \u00d7 A (headcount ratio H times intensity A). Haiti national\n(2016-17 DHS): MPI = 0.200, H = 41.3%, A = 48.4%.\n\nData source: OPHI Global MPI 2025, computed from the 2016-17 Haiti EMMUS V survey\n(DHS Program, MSPP/IHE). National table from UNDP HDR mirror\n(hdr.undp.org); subnational table from ophi.org.uk. Subnational breakdown:\n11 DHS strata (10 departments, Ouest split into Aire Metropolitaine and Rest-Ouest).\n\nSTALENESS: All estimates are based on the 2016-17 DHS survey, approximately 9 years\nbefore publication. Present with explicit vintage attribution.\n\nAttribution: Alkire, S., et al. (2025), OPHI MPI Methodological Note 62, University\nof Oxford; and UNDP Human Development Report Office. License: CC BY 4.0.",
      "name": "OPHI Global Multidimensional Poverty Index, Haiti",
      "name_localized": {
        "en": "OPHI Global Multidimensional Poverty Index, Haiti",
        "fr": "OPHI Indice de Pauvret\u00e9 Multidimensionnelle Mondial, Ha\u00efti",
        "ht": "OPHI Endis Povrete Miltidomansyon\u00e8l Mondyal, Ayiti"
      },
      "provider": {
        "full": "Oxford Poverty and Human Development Initiative (OPHI) / UNDP Human Development Report Office",
        "short": "OPHI/UNDP",
        "type": "academic"
      },
      "url": "https://ophi.org.uk/global-mpi/2025"
    }
  },
  "units": {
    "HEADCOUNT_H": "% of population",
    "INTENSITY_A": "% of weighted deprivations",
    "MPI": "Index (0-1)"
  },
  "views": [
    {
      "chart_type": "bar",
      "default": true,
      "default_window": "all",
      "description": {
        "en": "Multidimensional Poverty Index (MPI = H x A, range 0-1) by DHS survey region, 2016-17 DHS vintage. The West department is split into the Metropolitan area and Rest of West. Higher = poorer.",
        "fr": "Indice de pauvret\u00e9 multidimensionnelle (IPM = H x A, plage 0-1) par r\u00e9gion d'enqu\u00eate DHS, donn\u00e9es 2016-17. Le d\u00e9partement de l'Ouest est scind\u00e9 en zone m\u00e9tropolitaine et reste de l'Ouest. Plus \u00e9lev\u00e9 = plus pauvre.",
        "ht": "Endis Povrete Miltidomansyon\u00e8l (MPI = H x A, ant 0-1) pa rejyon sondaj DHS, done 2016-17. Depatman Lw\u00e8s la divize an z\u00f2n metwopolit\u00e8n ak r\u00e8s Lw\u00e8s. Pi wo = pi p\u00f2v."
      },
      "filters": {
        "area_type": "SUBNATIONAL",
        "component": [
          "DHS_METRO",
          "DHS_REST_WEST",
          "DHS_SOUTH_EAST",
          "DHS_NORTH",
          "DHS_NORTH_EAST",
          "DHS_ARTIBONITE",
          "DHS_CENTRE",
          "DHS_SOUTH",
          "DHS_GRANDE_ANSE",
          "DHS_NIPPES",
          "DHS_NORTH_WEST"
        ],
        "measure": "MPI"
      },
      "id": "subnational_mpi",
      "name": {
        "en": "Multidimensional Poverty Index by department (MPI)",
        "fr": "Indice de pauvret\u00e9 multidimensionnelle par d\u00e9partement (IPM)",
        "ht": "Endis Povrete Miltidomansyon\u00e8l pa depatman (MPI)"
      }
    },
    {
      "chart_type": "bar",
      "default": false,
      "description": {
        "en": "Haiti's Multidimensional Poverty Index (OPHI Global MPI 2025, 2016-17 DHS vintage). MPI = H \u00d7 A; ranges from 0 to 1.",
        "fr": "Indice de pauvret\u00e9 multidimensionnelle d'Ha\u00efti (OPHI IPM mondial 2025, donn\u00e9es DHS 2016-17). IPM = H \u00d7 A ; varie de 0 \u00e0 1.",
        "ht": "Endis Povrete Miltidomansyon\u00e8l Ayiti (OPHI Global MPI 2025, done DHS 2016-17). MPI = H \u00d7 A; varye ant 0 ak 1."
      },
      "filters": {
        "component": [
          "NATIONAL"
        ],
        "measure": "MPI"
      },
      "id": "national_mpi",
      "name": {
        "en": "Multidimensional poverty (national)",
        "fr": "Pauvret\u00e9 multidimensionnelle (national)",
        "ht": "Povrete miltidomansyon\u00e8l (nasyonal)"
      }
    },
    {
      "chart_type": "bar",
      "default": false,
      "description": {
        "en": "Share of population multidimensionally poor (H) by DHS survey region (2016-17 DHS vintage). West department split into Metropolitan area and Rest of West.",
        "fr": "Part de la population multidimensionnellement pauvre (H) par r\u00e9gion d'enqu\u00eate DHS (donn\u00e9es 2016-17). D\u00e9partement de l'Ouest scind\u00e9 en zone m\u00e9tropolitaine et reste de l'Ouest.",
        "ht": "Pati nan popilasyon ki p\u00f2v miltidomansyon\u00e8lman (H) pa rejyon sondaj DHS (done 2016-17). Depatman Lw\u00e8s divize an z\u00f2n metwopolit\u00e8n ak r\u00e8s Lw\u00e8s."
      },
      "filters": {
        "area_type": "SUBNATIONAL",
        "component": [
          "DHS_METRO",
          "DHS_REST_WEST",
          "DHS_SOUTH_EAST",
          "DHS_NORTH",
          "DHS_NORTH_EAST",
          "DHS_ARTIBONITE",
          "DHS_CENTRE",
          "DHS_SOUTH",
          "DHS_GRANDE_ANSE",
          "DHS_NIPPES",
          "DHS_NORTH_WEST"
        ],
        "measure": "HEADCOUNT_H"
      },
      "id": "subnational_headcount",
      "name": {
        "en": "Multidimensional headcount by department (H)",
        "fr": "Taux de pauvret\u00e9 multidimensionnelle par d\u00e9partement (H)",
        "ht": "To povrete miltidomansyon\u00e8l pa depatman (H)"
      }
    }
  ],
  "vintages": [
    "2025-10-17"
  ]
}