_metadata:
  platform: R
  version: 2.0.0
  synced_at: '2026-01-25T13:17:13Z'
  source: https://sdmx.data.unicef.org/ws/public/sdmxapi/rest/codelist/UNICEF/CL_UNICEF_INDICATOR/latest
  agency: UNICEF
  content_type: indicators
  total_indicators: 738
  codelist_id: CL_UNICEF_INDICATOR
  codelist_name: Indicators
indicators:
  CME:
    code: CME
    name: Child mortality
    dataflow: ~
  CME_ARR_10T19:
    code: CME_ARR_10T19
    name: Annual Rate of Reduction in Mortality Rate Age 10-19
    dataflow: ~
  CME_ARR_SBR:
    code: CME_ARR_SBR
    name: Annual rate of reduction in stillbirth rate
    dataflow: ~
  CME_ARR_U5MR:
    code: CME_ARR_U5MR
    name: Annual rate of reduction in under-five mortality rate
    dataflow: ~
  CME_COVID_CASES:
    code: CME_COVID_CASES
    name: Covid cases
    dataflow: ~
  CME_COVID_CASES_SHARE:
    code: CME_COVID_CASES_SHARE
    name: Covid cases share
    dataflow: ~
  CME_COVID_DEATHS:
    code: CME_COVID_DEATHS
    name: Covid deaths
    dataflow: ~
  CME_COVID_DEATHS_SHARE:
    code: CME_COVID_DEATHS_SHARE
    name: Covid deaths share
    dataflow: ~
  CME_MRM0:
    code: CME_MRM0
    name: Neonatal mortality rate
    dataflow: ~
  CME_MRM1T11:
    code: CME_MRM1T11
    name: Mortality rate age 1-11 months
    dataflow: ~
  CME_MRM1T59:
    code: CME_MRM1T59
    name: Mortality rate 1-59 months
    dataflow: ~
  CME_MRY0:
    code: CME_MRY0
    name: Infant mortality rate
    dataflow: ~
  CME_MRY0T4:
    code: CME_MRY0T4
    name: Under-five mortality rate
    dataflow: ~
  CME_MRY10T14:
    code: CME_MRY10T14
    name: Mortality rate age 10-14
    dataflow: ~
  CME_MRY10T19:
    code: CME_MRY10T19
    name: Mortality rate age 10-19
    dataflow: ~
  CME_MRY15T19:
    code: CME_MRY15T19
    name: Mortality rate age 15-19
    dataflow: ~
  CME_MRY15T24:
    code: CME_MRY15T24
    name: Mortality rate age 15-24
    dataflow: ~
  CME_MRY1T4:
    code: CME_MRY1T4
    name: Child mortality rate (aged 1-4 years)
    dataflow: ~
  CME_MRY20T24:
    code: CME_MRY20T24
    name: Mortality rate age 20-24
    dataflow: ~
  CME_MRY5T14:
    code: CME_MRY5T14
    name: Mortality rate (children aged 5 to 14 years)
    dataflow: ~
  CME_MRY5T24:
    code: CME_MRY5T24
    name: Mortality rate age 5-24
    dataflow: ~
  CME_MRY5T9:
    code: CME_MRY5T9
    name: Mortality rate age 5-9
    dataflow: ~
  CME_PND:
    code: CME_PND
    name: Neonatal deaths as a percentage of under-five deaths
    dataflow: ~
  CME_SB:
    code: CME_SB
    name: Stillbirths
    dataflow: ~
  CME_SBR:
    code: CME_SBR
    name: Stillbirth rate
    dataflow: ~
  CME_TMM0:
    code: CME_TMM0
    name: Neonatal deaths
    dataflow: ~
  CME_TMM1T11:
    code: CME_TMM1T11
    name: Deaths age 1-11 months
    dataflow: ~
  CME_TMM1T59:
    code: CME_TMM1T59
    name: Deaths age 1-59 months
    dataflow: ~
  CME_TMY0:
    code: CME_TMY0
    name: Infant deaths
    dataflow: ~
  CME_TMY0T4:
    code: CME_TMY0T4
    name: Under-five deaths
    dataflow: ~
  CME_TMY10T14:
    code: CME_TMY10T14
    name: Deaths aged 10 to 14
    dataflow: ~
  CME_TMY10T19:
    code: CME_TMY10T19
    name: Deaths aged 10 to 19
    dataflow: ~
  CME_TMY15T19:
    code: CME_TMY15T19
    name: Deaths aged 15 to 19
    dataflow: ~
  CME_TMY15T24:
    code: CME_TMY15T24
    name: Deaths aged 15 to 24
    dataflow: ~
  CME_TMY1T4:
    code: CME_TMY1T4
    name: Child deaths (aged 1-4 years)
    dataflow: ~
  CME_TMY20T24:
    code: CME_TMY20T24
    name: Deaths aged 20 to 24
    dataflow: ~
  CME_TMY5T14:
    code: CME_TMY5T14
    name: Deaths (children aged 5-14)
    dataflow: ~
  CME_TMY5T24:
    code: CME_TMY5T24
    name: Deaths aged 5 to 24
    dataflow: ~
  CME_TMY5T9:
    code: CME_TMY5T9
    name: Deaths aged 5 to 9
    dataflow: ~
  COD_ACUTE_HEPATITIS_A:
    code: COD_ACUTE_HEPATITIS_A
    name: Acute hepatitis A
    dataflow: ~
  COD_ACUTE_HEPATITIS_B:
    code: COD_ACUTE_HEPATITIS_B
    name: Acute hepatitis B
    dataflow: ~
  COD_AFRICAN_TRYPANOSOMIASIS:
    code: COD_AFRICAN_TRYPANOSOMIASIS
    name: African trypanosomiasis
    dataflow: ~
  COD_ALCOHOL_USE_DISORDERS:
    code: COD_ALCOHOL_USE_DISORDERS
    name: Alcohol use disorders
    dataflow: ~
  COD_ALZHEIMER_DISEASE_AND_OTHER_DEMENTIAS:
    code: COD_ALZHEIMER_DISEASE_AND_OTHER_DEMENTIAS
    name: Alzheimer disease and other dementias
    dataflow: ~
  COD_APPENDICITIS:
    code: COD_APPENDICITIS
    name: Appendicitis
    dataflow: ~
  COD_ASTHMA:
    code: COD_ASTHMA
    name: Asthma
    dataflow: ~
  COD_BLADDER_CANCER:
    code: COD_BLADDER_CANCER
    name: Bladder cancer
    dataflow: ~
  COD_BRAIN_AND_NERVOUS_SYSTEM_CANCERS:
    code: COD_BRAIN_AND_NERVOUS_SYSTEM_CANCERS
    name: Brain and nervous system cancers
    dataflow: ~
  COD_BREAST_CANCER:
    code: COD_BREAST_CANCER
    name: Breast cancer
    dataflow: ~
  COD_CARDIOMYOPATHY_MYOCARDITIS_ENDOCARDITIS:
    code: COD_CARDIOMYOPATHY_MYOCARDITIS_ENDOCARDITIS
    name: Cardiomyopathy, myocarditis, endocarditis
    dataflow: ~
  COD_CERVIX_UTERI_CANCER:
    code: COD_CERVIX_UTERI_CANCER
    name: Cervix uteri cancer
    dataflow: ~
  COD_CHLAMYDIA:
    code: COD_CHLAMYDIA
    name: Chlamydia
    dataflow: ~
  COD_CHRONIC_OBSTRUCTIVE_PULMONARY_DISEASE:
    code: COD_CHRONIC_OBSTRUCTIVE_PULMONARY_DISEASE
    name: Chronic obstructive pulmonary disease
    dataflow: ~
  COD_CIRRHOSIS_OF_THE_LIVER:
    code: COD_CIRRHOSIS_OF_THE_LIVER
    name: Cirrhosis of the liver
    dataflow: ~
  COD_COLLECTIVE_VIOLENCE_AND_LEGAL_INTERVENTION:
    code: COD_COLLECTIVE_VIOLENCE_AND_LEGAL_INTERVENTION
    name: Collective violence and legal intervention
    dataflow: ~
  COD_COLON_AND_RECTUM_CANCERS:
    code: COD_COLON_AND_RECTUM_CANCERS
    name: Colon and rectum cancers
    dataflow: ~
  COD_CONGENITAL_ANOMALIES:
    code: COD_CONGENITAL_ANOMALIES
    name: Congenital anomalies
    dataflow: ~
  COD_CYSTICERCOSIS:
    code: COD_CYSTICERCOSIS
    name: Cysticercosis
    dataflow: ~
  COD_DENGUE:
    code: COD_DENGUE
    name: Dengue
    dataflow: ~
  COD_DIABETES_MELLITUS:
    code: COD_DIABETES_MELLITUS
    name: Diabetes mellitus
    dataflow: ~
  COD_DIARRHOEAL_DISEASES:
    code: COD_DIARRHOEAL_DISEASES
    name: Diarrhoeal diseases
    dataflow: ~
  COD_DIPHTHERIA:
    code: COD_DIPHTHERIA
    name: Diphtheria
    dataflow: ~
  COD_DROWNING:
    code: COD_DROWNING
    name: Drowning
    dataflow: ~
  COD_DRUG_USE_DISORDERS:
    code: COD_DRUG_USE_DISORDERS
    name: Drug use disorders
    dataflow: ~
  COD_ECHINOCOCCOSIS:
    code: COD_ECHINOCOCCOSIS
    name: Echinococcosis
    dataflow: ~
  COD_ENCEPHALITIS:
    code: COD_ENCEPHALITIS
    name: Encephalitis
    dataflow: ~
  COD_EPILEPSY:
    code: COD_EPILEPSY
    name: Epilepsy
    dataflow: ~
  COD_EXPOSURE_TO_MECHANICAL_FORCES:
    code: COD_EXPOSURE_TO_MECHANICAL_FORCES
    name: Exposure to mechanical forces
    dataflow: ~
  COD_FALLS:
    code: COD_FALLS
    name: Falls
    dataflow: ~
  COD_FIRE_HEAT_AND_HOT_SUBSTANCES:
    code: COD_FIRE_HEAT_AND_HOT_SUBSTANCES
    name: Fire, heat and hot substances
    dataflow: ~
  COD_GALLBLADDER_AND_BILIARY_DISEASES:
    code: COD_GALLBLADDER_AND_BILIARY_DISEASES
    name: Gallbladder and biliary diseases
    dataflow: ~
  COD_GENITAL_HERPES:
    code: COD_GENITAL_HERPES
    name: Genital herpes
    dataflow: ~
  COD_GONORRHOEA:
    code: COD_GONORRHOEA
    name: Gonorrhoea
    dataflow: ~
  COD_HIV_AIDS:
    code: COD_HIV_AIDS
    name: HIV/AIDS
    dataflow: ~
  COD_HYPERTENSIVE_HEART_DISEASE:
    code: COD_HYPERTENSIVE_HEART_DISEASE
    name: Hypertensive heart disease
    dataflow: ~
  COD_IDIOPATHIC_INTELLECTUAL_DISABILITY:
    code: COD_IDIOPATHIC_INTELLECTUAL_DISABILITY
    name: Idiopathic intellectual disability
    dataflow: ~
  COD_INFLAMMATORY_BOWEL_DISEASE:
    code: COD_INFLAMMATORY_BOWEL_DISEASE
    name: Inflammatory bowel disease
    dataflow: ~
  COD_INTERPERSONAL_VIOLENCE:
    code: COD_INTERPERSONAL_VIOLENCE
    name: Interpersonal violence
    dataflow: ~
  COD_IRON_DEFICIENCY_ANAEMIA:
    code: COD_IRON_DEFICIENCY_ANAEMIA
    name: Iron-deficiency anaemia
    dataflow: ~
  COD_ISCHAEMIC_HEART_DISEASE:
    code: COD_ISCHAEMIC_HEART_DISEASE
    name: Ischaemic heart disease
    dataflow: ~
  COD_KIDNEY_CANCER:
    code: COD_KIDNEY_CANCER
    name: Kidney cancer
    dataflow: ~
  COD_KIDNEY_DISEASES:
    code: COD_KIDNEY_DISEASES
    name: Kidney diseases
    dataflow: ~
  COD_LEISHMANIASIS:
    code: COD_LEISHMANIASIS
    name: Leishmaniasis
    dataflow: ~
  COD_LEUKAEMIA:
    code: COD_LEUKAEMIA
    name: Leukaemia
    dataflow: ~
  COD_LIVER_CANCER:
    code: COD_LIVER_CANCER
    name: Liver cancer
    dataflow: ~
  COD_LOWER_RESPIRATORY_INFECTIONS:
    code: COD_LOWER_RESPIRATORY_INFECTIONS
    name: Lower respiratory infections
    dataflow: ~
  COD_LYMPHOMAS_MULTIPLE_MYELOMA:
    code: COD_LYMPHOMAS_MULTIPLE_MYELOMA
    name: Lymphomas, multiple myeloma
    dataflow: ~
  COD_MALARIA:
    code: COD_MALARIA
    name: Malaria
    dataflow: ~
  COD_MATERNAL_CONDITIONS:
    code: COD_MATERNAL_CONDITIONS
    name: Maternal conditions
    dataflow: ~
  COD_MEASLES:
    code: COD_MEASLES
    name: Measles
    dataflow: ~
  COD_MELANOMA_AND_OTHER_SKIN_CANCERS:
    code: COD_MELANOMA_AND_OTHER_SKIN_CANCERS
    name: Melanoma and other skin cancers
    dataflow: ~
  COD_MENINGITIS:
    code: COD_MENINGITIS
    name: Meningitis
    dataflow: ~
  COD_MESOTHELIOMA:
    code: COD_MESOTHELIOMA
    name: Mesothelioma
    dataflow: ~
  COD_MOUTH_AND_OROPHARYNX_CANCERS:
    code: COD_MOUTH_AND_OROPHARYNX_CANCERS
    name: Mouth and oropharynx cancers
    dataflow: ~
  COD_NATURAL_DISASTERS:
    code: COD_NATURAL_DISASTERS
    name: Natural disasters
    dataflow: ~
  COD_OESOPHAGUS_CANCER:
    code: COD_OESOPHAGUS_CANCER
    name: Oesophagus cancer
    dataflow: ~
  COD_OVARY_CANCER:
    code: COD_OVARY_CANCER
    name: Ovary cancer
    dataflow: ~
  COD_PANCREAS_CANCER:
    code: COD_PANCREAS_CANCER
    name: Pancreas cancer
    dataflow: ~
  COD_PANCREATITIS:
    code: COD_PANCREATITIS
    name: Pancreatitis
    dataflow: ~
  COD_PARALYTIC_ILEUS_AND_INTESTINAL_OBSTRUCTION:
    code: COD_PARALYTIC_ILEUS_AND_INTESTINAL_OBSTRUCTION
    name: Paralytic ileus and intestinal obstruction
    dataflow: ~
  COD_PEPTIC_ULCER_DISEASE:
    code: COD_PEPTIC_ULCER_DISEASE
    name: Peptic ulcer disease
    dataflow: ~
  COD_POISONINGS:
    code: COD_POISONINGS
    name: Poisonings
    dataflow: ~
  COD_PROTEIN_ENERGY_MALNUTRITION:
    code: COD_PROTEIN_ENERGY_MALNUTRITION
    name: Protein-energy malnutrition
    dataflow: ~
  COD_RABIES:
    code: COD_RABIES
    name: Rabies
    dataflow: ~
  COD_RHEUMATIC_HEART_DISEASE:
    code: COD_RHEUMATIC_HEART_DISEASE
    name: Rheumatic heart disease
    dataflow: ~
  COD_ROAD_INJURY:
    code: COD_ROAD_INJURY
    name: Road injury
    dataflow: ~
  COD_SELF_HARM:
    code: COD_SELF_HARM
    name: Self-harm
    dataflow: ~
  COD_SICKLE_CELL_DISORDERS_AND_TRAIT:
    code: COD_SICKLE_CELL_DISORDERS_AND_TRAIT
    name: Sickle cell disorders and trait
    dataflow: ~
  COD_SKIN_DISEASES:
    code: COD_SKIN_DISEASES
    name: Skin diseases
    dataflow: ~
  COD_STOMACH_CANCER:
    code: COD_STOMACH_CANCER
    name: Stomach cancer
    dataflow: ~
  COD_STROKE:
    code: COD_STROKE
    name: Stroke
    dataflow: ~
  COD_SYPHILIS:
    code: COD_SYPHILIS
    name: Syphilis
    dataflow: ~
  COD_TESTICULAR_CANCER:
    code: COD_TESTICULAR_CANCER
    name: Testicular cancer
    dataflow: ~
  COD_TETANUS:
    code: COD_TETANUS
    name: Tetanus
    dataflow: ~
  COD_THALASSAEMIAS:
    code: COD_THALASSAEMIAS
    name: Thalassaemias
    dataflow: ~
  COD_THYROID_CANCER:
    code: COD_THYROID_CANCER
    name: Thyroid cancer
    dataflow: ~
  COD_TRACHEA_BRONCHUS_LUNG_CANCERS:
    code: COD_TRACHEA_BRONCHUS_LUNG_CANCERS
    name: Trachea, bronchus, lung cancers
    dataflow: ~
  COD_TRICHOMONIASIS:
    code: COD_TRICHOMONIASIS
    name: Trichomoniasis
    dataflow: ~
  COD_TUBERCULOSIS:
    code: COD_TUBERCULOSIS
    name: Tuberculosis
    dataflow: ~
  COD_UPPER_RESPIRATORY_INFECTIONS:
    code: COD_UPPER_RESPIRATORY_INFECTIONS
    name: Upper respiratory infections
    dataflow: ~
  COD_WHOOPING_COUGH:
    code: COD_WHOOPING_COUGH
    name: Whooping cough
    dataflow: ~
  COD_YELLOW_FEVER:
    code: COD_YELLOW_FEVER
    name: Yellow fever
    dataflow: ~
  DM:
    code: DM
    name: Demography
    dataflow: ~
  DM_AVG_HH_SIZE:
    code: DM_AVG_HH_SIZE
    name: Average household size
    dataflow: ~
  DM_BRTS:
    code: DM_BRTS
    name: Number of births
    dataflow: ~
  DM_DPR_CHD:
    code: DM_DPR_CHD
    name: Child dependency ratio
    dataflow: ~
  DM_DPR_OLD:
    code: DM_DPR_OLD
    name: Old age dependency ratio
    dataflow: ~
  DM_DPR_TOT:
    code: DM_DPR_TOT
    name: Total dependency ratio
    dataflow: ~
  DM_FRATE_TOT:
    code: DM_FRATE_TOT
    name: Total fertility rate
    dataflow: ~
  DM_HH_INTERNET:
    code: DM_HH_INTERNET
    name: Households with Internet access
    dataflow: ~
  DM_HH_O65:
    code: DM_HH_O65
    name: Share of households with at least one member age 65+
    dataflow: ~
  DM_HH_PC:
    code: DM_HH_PC
    name: Households with personal computer
    dataflow: ~
  DM_HH_U18:
    code: DM_HH_U18
    name: Share of households with at least one member under age 18
    dataflow: ~
  DM_LIFE_EXP:
    code: DM_LIFE_EXP
    name: Life expectancy
    dataflow: ~
  DM_NET_MG_RATE:
    code: DM_NET_MG_RATE
    name: Net migration rate (per 1,000 population)
    dataflow: ~
  DM_OVERCR3:
    code: DM_OVERCR3
    name: Overcrowding +3
    dataflow: ~
  DM_OVERCR5:
    code: DM_OVERCR5
    name: Overcrowding +5
    dataflow: ~
  DM_POP_15TO24:
    code: DM_POP_15TO24
    name: Youth population from 15 to 24
    dataflow: ~
  DM_POP_ADLCNT:
    code: DM_POP_ADLCNT
    name: Adolescent population (10-19)
    dataflow: ~
  DM_POP_ADLCNT_PROP:
    code: DM_POP_ADLCNT_PROP
    name: Adolescent population as proportion of total population (%)
    dataflow: ~
  DM_POP_GRT:
    code: DM_POP_GRT
    name: Population annual growth rate
    dataflow: ~
  DM_POP_TOT:
    code: DM_POP_TOT
    name: Total population
    dataflow: ~
  DM_POP_U18:
    code: DM_POP_U18
    name: Population under age 18
    dataflow: ~
  DM_POP_U5:
    code: DM_POP_U5
    name: Population under age 5
    dataflow: ~
  DM_POP_URBN:
    code: DM_POP_URBN
    name: Percentage of population by urban-rural national definitions at mid-year
    dataflow: ~
  DM_POP_U_GRT:
    code: DM_POP_U_GRT
    name: Annual rate of change of the population by urban-rural national definitions
    dataflow: ~
  ECD_CHLD_24-59M_ADLT_SRC:
    code: ECD_CHLD_24-59M_ADLT_SRC
    name: Percentage of children (aged 24-59 months) with whom any adult household
      member has engaged in 4 or more activities to provide early stimulation and
      responsive care in the last 3 days
    dataflow: ~
  ECD_CHLD_24-59M_FHR-SPT-LNG:
    code: ECD_CHLD_24-59M_FHR-SPT-LNG
    name: Percentage of children (aged 24-59 months) whose father has engaged in 4
      or more activities to provide early stimulation and responsive care in the last
      3 days
    dataflow: ~
  ECD_CHLD_36-59M_EDU-PGM:
    code: ECD_CHLD_36-59M_EDU-PGM
    name: Percentage of children aged 36-59 months attending an early childhood education
      programme
    dataflow: ~
  ECD_CHLD_U5_BKS-HM:
    code: ECD_CHLD_U5_BKS-HM
    name: Percentage of children under age 5 who have 3 or more children's books
    dataflow: ~
  ECD_CHLD_U5_LFT-ALN:
    code: ECD_CHLD_U5_LFT-ALN
    name: Percentage of children under age 5 left alone or under the supervision of
      another child younger than 10 years of age for more than 1 hour at least once
      in the last week
    dataflow: ~
  ECD_CHLD_U5_PLYTH-HM:
    code: ECD_CHLD_U5_PLYTH-HM
    name: Percentage of children under age 5 who play with 2 or more types of playthings
    dataflow: ~
  ECON:
    code: ECON
    name: Economic
    dataflow: ~
  ECON_GVT_EDU_EXP_PTEXP:
    code: ECON_GVT_EDU_EXP_PTEXP
    name: government expenditure on education (% government budget)
    dataflow: ~
  ECON_GVT_EDU_EXP_PTGDP:
    code: ECON_GVT_EDU_EXP_PTGDP
    name: government expenditure on education (% GDP)
    dataflow: ~
  ECON_GVT_EXP_PTGDP:
    code: ECON_GVT_EXP_PTGDP
    name: government expenditure (% GDP)
    dataflow: ~
  ECON_GVT_HLTH_EXP_PTEXP:
    code: ECON_GVT_HLTH_EXP_PTEXP
    name: government expenditure on health (% government budget)
    dataflow: ~
  ECON_GVT_HLTH_EXP_PTGDP:
    code: ECON_GVT_HLTH_EXP_PTGDP
    name: government expenditure on health (% GDP)
    dataflow: ~
  ECON_GVT_REV_PTGDP:
    code: ECON_GVT_REV_PTGDP
    name: government revenue (%GDP)
    dataflow: ~
  ECON_ODA_INFLOW_PTGNI:
    code: ECON_ODA_INFLOW_PTGNI
    name: ODA inflow (%GNI)
    dataflow: ~
  ECON_ODA_INFLOW_USD:
    code: ECON_ODA_INFLOW_USD
    name: ODA inflow (USD)
    dataflow: ~
  ECON_ODA_OUTFLOW_PTGNI:
    code: ECON_ODA_OUTFLOW_PTGNI
    name: ODA outflow (%GNI)
    dataflow: ~
  ECON_ODA_OUTFLOW_USD:
    code: ECON_ODA_OUTFLOW_USD
    name: ODA outflow (USD)
    dataflow: ~
  ECON_SOC_PRO_EXP_PTEXP:
    code: ECON_SOC_PRO_EXP_PTEXP
    name: government expenditure on social protection (% government budget)
    dataflow: ~
  ECON_SOC_PRO_EXP_PTGDP:
    code: ECON_SOC_PRO_EXP_PTGDP
    name: government expenditure on social protection (% GDP)
    dataflow: ~
  EDUCATION:
    code: EDUCATION
    name: Education
    dataflow: ~
  ED_15-24_LR:
    code: ED_15-24_LR
    name: Youth literacy rate for 15-24 years
    dataflow: ~
  ED_ANAR_L02:
    code: ED_ANAR_L02
    name: Adjusted net attendance rate, one year before the official primary entry
      age
    dataflow: ~
  ED_ANAR_L1:
    code: ED_ANAR_L1
    name: Adjusted net attendance rate for children of primary school age
    dataflow: ~
  ED_ANAR_L2:
    code: ED_ANAR_L2
    name: Adjusted net attendance rate for adolescents of lower secondary school age
    dataflow: ~
  ED_ANAR_L3:
    code: ED_ANAR_L3
    name: Adjusted net attendance rate for youth of upper secondary school age
    dataflow: ~
  ED_ATTND_FRML_INST:
    code: ED_ATTND_FRML_INST
    name: Percentage of population aged 6-17 attending a formal educational institution
      (%)
    dataflow: ~
  ED_CR_L1:
    code: ED_CR_L1
    name: Completion rate for children of primary school age
    dataflow: ~
  ED_CR_L2:
    code: ED_CR_L2
    name: Completion rate for adolescents of lower secondary school age
    dataflow: ~
  ED_CR_L3:
    code: ED_CR_L3
    name: Completion rate for youth of upper secondary education school age
    dataflow: ~
  ED_LN_M_G2_3:
    code: ED_LN_M_G2_3
    name: Proportion of children and young people a) in grade 2 or 3 achieving at
      least a minimum proficiency level in (ii) mathematics
    dataflow: ~
  ED_LN_M_L1:
    code: ED_LN_M_L1
    name: Proportion of children and young people b) at the end of primary education
      achieving at least a minimum proficiency level in (ii) mathematics
    dataflow: ~
  ED_LN_M_L2:
    code: ED_LN_M_L2
    name: Proportion of children and young people c) at the end of lower secondary
      educationachieving at least a minimum proficiency level in (ii) mathematics
    dataflow: ~
  ED_LN_R_G2_3:
    code: ED_LN_R_G2_3
    name: Proportion of children and young people a) in grade 2 or 3 achieving at
      least a minimum proficiency level in (i) reading
    dataflow: ~
  ED_LN_R_L1:
    code: ED_LN_R_L1
    name: Proportion of children and young people b) at the end of primary education
      achieving at least a minimum proficiency level in (i) reading
    dataflow: ~
  ED_LN_R_L2:
    code: ED_LN_R_L2
    name: Proportion of children and young people c) at the end of lower secondary
      education achieving at least a minimum proficiency level in (i) reading
    dataflow: ~
  ED_MAT_G23:
    code: ED_MAT_G23
    name: Proportion of students in Grade 2 or 3 achieving at least a minimum proficiency
      level in mathematics
    dataflow: ~
  ED_MAT_L1:
    code: ED_MAT_L1
    name: Proportion of students at the end of primary achieving at least a minimum
      proficiency level in mathematics
    dataflow: ~
  ED_MAT_L2:
    code: ED_MAT_L2
    name: Proportion of students at the end of lower secondary achieving at least
      a minimum proficiency level in mathematics
    dataflow: ~
  ED_NERA_L02:
    code: ED_NERA_L02
    name: Adjusted net enrolment rate, one year before the official primary entry
      age
    dataflow: ~
  ED_PUP_PER_MATH_BOOK:
    code: ED_PUP_PER_MATH_BOOK
    name: Average number of pupils per mathematics textbook in primary education
    dataflow: ~
  ED_PUP_PER_READ_BOOK:
    code: ED_PUP_PER_READ_BOOK
    name: Average number of pupils per reading textbook in primary education
    dataflow: ~
  ED_READ_G23:
    code: ED_READ_G23
    name: Proportion of students in Grade 2 or 3 achieving at least a minimum proficiency
      level in reading
    dataflow: ~
  ED_READ_L1:
    code: ED_READ_L1
    name: Proportion of students at the end of primary achieving at least a minimum
      proficiency level in reading
    dataflow: ~
  ED_READ_L2:
    code: ED_READ_L2
    name: Proportion of students at the end of lower secondary achieving at least
      a minimum proficiency level in reading
    dataflow: ~
  ED_RLRI:
    code: ED_RLRI
    name: Remote Learning Readiness Index
    dataflow: ~
  ED_RLRI_L02:
    code: ED_RLRI_L02
    name: Remote learning readiness index, one year before the official primary entry
      age
    dataflow: ~
  ED_RLRI_L1:
    code: ED_RLRI_L1
    name: Remote learning readiness index for children of primary school age
    dataflow: ~
  ED_RLRI_L2:
    code: ED_RLRI_L2
    name: Remote learning readiness index for adolescents of lower secondary school
      age
    dataflow: ~
  ED_RLRI_L3:
    code: ED_RLRI_L3
    name: Remote learning readiness index for youth of upper secondary school age
    dataflow: ~
  ED_ROFST_L0:
    code: ED_ROFST_L0
    name: Out-of-school rate for children one year younger than official entry age
    dataflow: ~
  ED_ROFST_L02_ADM:
    code: ED_ROFST_L02_ADM
    name: Out-of-school rate for children one year younger than official entry age
      (administrative data)
    dataflow: ~
  ED_ROFST_L1:
    code: ED_ROFST_L1
    name: Out-of-school rate for children of primary school age
    dataflow: ~
  ED_ROFST_L1_ADM:
    code: ED_ROFST_L1_ADM
    name: Out-of-school rate for children of primary school age (administrative data)
    dataflow: ~
  ED_ROFST_L2:
    code: ED_ROFST_L2
    name: Out-of-school rate for adolescents of lower secondary school age
    dataflow: ~
  ED_ROFST_L2_ADM:
    code: ED_ROFST_L2_ADM
    name: Out-of-school rate for adolescents of lower secondary school age (administrative
      data)
    dataflow: ~
  ED_ROFST_L3:
    code: ED_ROFST_L3
    name: Out-of-school rate for youth of upper secondary school age
    dataflow: ~
  ED_ROFST_L3_ADM:
    code: ED_ROFST_L3_ADM
    name: Out-of-school rate for youth of upper secondary school age (administrative
      data)
    dataflow: ~
  FD_ANAR:
    code: FD_ANAR
    name: Adjusted net attendance rate (Functional difficulties)
    dataflow: ~
  FD_EARLY_CH_EDU:
    code: FD_EARLY_CH_EDU
    name: Early childhood education (Functional difficulties)
    dataflow: ~
  FD_EARLY_STIM:
    code: FD_EARLY_STIM
    name: Early stimulation and responsive care (Functional difficulties)
    dataflow: ~
  FD_FOUNDATIONAL_LEARNING:
    code: FD_FOUNDATIONAL_LEARNING
    name: Foundational learning skills (Functional difficulties)
    dataflow: ~
  FD_FUNC_DIFFICULTY:
    code: FD_FUNC_DIFFICULTY
    name: Children with disabilities (Functional difficulties)
    dataflow: ~
  FD_NEVER_ATTENDED:
    code: FD_NEVER_ATTENDED
    name: Never attended school (Functional difficulties)
    dataflow: ~
  FD_OOS:
    code: FD_OOS
    name: Out of school (Functional difficulties)
    dataflow: ~
  FD_SANITATION_FACILITIES:
    code: FD_SANITATION_FACILITIES
    name: Sanitation facilities on premises (Functional difficulties)
    dataflow: ~
  FD_SEVER_PHY_PUNISH:
    code: FD_SEVER_PHY_PUNISH
    name: Severe physical punishment (Functional difficulties)
    dataflow: ~
  FD_SOCIAL_TRANSFERS:
    code: FD_SOCIAL_TRANSFERS
    name: Social transfers (Functional difficulties)
    dataflow: ~
  FD_STUNTING:
    code: FD_STUNTING
    name: Moderate and severe stunting (Functional difficulties)
    dataflow: ~
  FD_UNDERWEIGHT:
    code: FD_UNDERWEIGHT
    name: Moderate and severe underweight (Functional difficulties)
    dataflow: ~
  FUNCTIONAL_DIFF:
    code: FUNCTIONAL_DIFF
    name: Functional difficulties
    dataflow: ~
  GENDER:
    code: GENDER
    name: Gender
    dataflow: ~
  GN_ANEMIA_ADOL_GRL:
    code: GN_ANEMIA_ADOL_GRL
    name: adolescent girls with any anaemia
    dataflow: ~
  GN_ED_ATTN:
    code: GN_ED_ATTN
    name: Educational attainment of the population (aged 25 years and older)
    dataflow: ~
  GN_FB_BNK_ACCSS:
    code: GN_FB_BNK_ACCSS
    name: Proportion of adolescents and adults (aged 15 years and older) with an account
      at a financial institution or mobile money service provider
    dataflow: ~
  GN_IDX:
    code: GN_IDX
    name: Social Institutions and Gender Index (SIGI)
    dataflow: ~
  GN_IDX_CAT:
    code: GN_IDX_CAT
    name: Social Institutions and Gender Index Categorical (SIGI)
    dataflow: ~
  GN_IT_MOB_OWN:
    code: GN_IT_MOB_OWN
    name: Proportion of individuals who own a mobile telephone
    dataflow: ~
  GN_LF_PTCPN:
    code: GN_LF_PTCPN
    name: Labour force participation rate
    dataflow: ~
  GN_MTNTY_LV_BNFTS:
    code: GN_MTNTY_LV_BNFTS
    name: Maternity leave benefits
    dataflow: ~
  GN_PTNTY_LV_BNFTS:
    code: GN_PTNTY_LV_BNFTS
    name: Paternity leave benefits
    dataflow: ~
  GN_SG_LGL_GENARCH:
    code: GN_SG_LGL_GENARCH
    name: 'Legal frameworks that promote, enforce, and monitor gender equality- Area
      1: Overarching legal frameworks and public life'
    dataflow: ~
  GN_SG_LGL_GENEQEMP:
    code: GN_SG_LGL_GENEQEMP
    name: 'Legal frameworks that promote, enforce, and monitor gender equality- Area
      3: Employment and economic benefits'
    dataflow: ~
  GN_SG_LGL_GENMARFAM:
    code: GN_SG_LGL_GENMARFAM
    name: 'Legal frameworks that promote, enforce, and monitor gender equality- Area
      4: Marriage and family'
    dataflow: ~
  GN_SG_LGL_GENVAW:
    code: GN_SG_LGL_GENVAW
    name: 'Legal frameworks that promote, enforce, and monitor gender equality- Area
      2: Violence against women'
    dataflow: ~
  GN_STUNT_ADOL_GRL:
    code: GN_STUNT_ADOL_GRL
    name: stunting among adolescent girls
    dataflow: ~
  GN_TIMEUSE:
    code: GN_TIMEUSE
    name: Time use
    dataflow: ~
  GN_UNMPLY:
    code: GN_UNMPLY
    name: Labour force unemployment rate
    dataflow: ~
  HIV_AIDS:
    code: HIV_AIDS
    name: HIV/AIDS
    dataflow: ~
  HVA_ADOL_ART_RECEIVE:
    code: HVA_ADOL_ART_RECEIVE
    name: Reported number of adolescents receiving ART
    dataflow: ~
  HVA_ADOL_ART_RECEIVE_LIVING_HIV:
    code: HVA_ADOL_ART_RECEIVE_LIVING_HIV
    name: Per cent of adolescents living with HIV receiving ART
    dataflow: ~
  HVA_EPI_DTH_ANN_0-19:
    code: HVA_EPI_DTH_ANN_0-19
    name: Estimated number of annual AIDS-related deaths (children aged 0-19 years)
    dataflow: ~
  HVA_EPI_DTH_ANN_15-24:
    code: HVA_EPI_DTH_ANN_15-24
    name: Estimated number of annual AIDS-related deaths (adolescents and young people
      aged 15-24 years)
    dataflow: ~
  HVA_EPI_DTH_RT:
    code: HVA_EPI_DTH_RT
    name: Estimated rate of annual AIDS-related deaths (per 100,000 population)
    dataflow: ~
  HVA_EPI_DTH_RT_0-14:
    code: HVA_EPI_DTH_RT_0-14
    name: Estimated rate of annual AIDS-related deaths (per 100,000 population, children
      aged 0-14 years)
    dataflow: ~
  HVA_EPI_DTH_RT_10-19:
    code: HVA_EPI_DTH_RT_10-19
    name: Estimated rate of annual AIDS-related deaths (per 100,000 population, adolescents
      aged 10-19 years)
    dataflow: ~
  HVA_EPI_INF_ANN_0-19:
    code: HVA_EPI_INF_ANN_0-19
    name: Estimated number of new HIV infections (children aged 0-19 years)
    dataflow: ~
  HVA_EPI_INF_ANN_15-24:
    code: HVA_EPI_INF_ANN_15-24
    name: Estimated number of new HIV infections (adolescents and young people aged
      15-24 years)
    dataflow: ~
  HVA_EPI_INF_RT:
    code: HVA_EPI_INF_RT
    name: Estimated incidence rate (new HIV infection per 1,000 uninfected population)
    dataflow: ~
  HVA_EPI_LHIV_0-19:
    code: HVA_EPI_LHIV_0-19
    name: Estimated number of children (aged 0-19 years) living with HIV
    dataflow: ~
  HVA_EPI_LHIV_15-24:
    code: HVA_EPI_LHIV_15-24
    name: Estimated number of adolescents and young people (aged 15-24 years) living
      with HIV
    dataflow: ~
  HVA_PED_ART_CVG:
    code: HVA_PED_ART_CVG
    name: Per cent of children (aged 0-14 years) living with HIV and receiving antiretroviral
      therapy (ART)
    dataflow: ~
  HVA_PED_ART_NUM:
    code: HVA_PED_ART_NUM
    name: Reported number of children (aged 0-14 years) receiving antiretroviral treatment
      (ART)
    dataflow: ~
  HVA_PED_EID_CVG:
    code: HVA_PED_EID_CVG
    name: Per cent of infants born to pregnant women living with HIV who received
      a virological test for HIV within 2 months of birth
    dataflow: ~
  HVA_PED_EID_NUM:
    code: HVA_PED_EID_NUM
    name: Reported number of infants born to pregnant women living with HIV who received
      a virological test for HIV within 2 months of birth
    dataflow: ~
  HVA_PED_LOST:
    code: HVA_PED_LOST
    name: Estimated number of children (aged 0-17 years) who have lost one or both
      parents due to all causes
    dataflow: ~
  HVA_PED_LOST_AIDS:
    code: HVA_PED_LOST_AIDS
    name: Estimated number of children (aged 0-17 years) who have lost one or both
      parents due to AIDS
    dataflow: ~
  HVA_PMTCT_ART_CVG:
    code: HVA_PMTCT_ART_CVG
    name: Per cent of pregnant women living with HIV receiving lifelong ART
    dataflow: ~
  HVA_PMTCT_ART_NUM:
    code: HVA_PMTCT_ART_NUM
    name: Reported number of pregnant women living with HIV receiving lifelong antiretroviral
      treatment (ART)
    dataflow: ~
  HVA_PMTCT_ARV_CVG:
    code: HVA_PMTCT_ARV_CVG
    name: Per cent of pregnant women living with HIV receiving effective ARVs for
      PMTCT (excludes single-dose nevirapine)
    dataflow: ~
  HVA_PMTCT_ARV_NUM:
    code: HVA_PMTCT_ARV_NUM
    name: Reported number of pregnant woment living with HIV receiving anitretroviral
      treatments (ARVs) for prevention of mother to child transmission programmes
      (PMTCT)
    dataflow: ~
  HVA_PMTCT_MTCT:
    code: HVA_PMTCT_MTCT
    name: Mother-to-child HIV transmission rate
    dataflow: ~
  HVA_PMTCT_PWLHIV:
    code: HVA_PMTCT_PWLHIV
    name: Estimated number of pregnant women living with HIV
    dataflow: ~
  HVA_PMTCT_STAT_CVG:
    code: HVA_PMTCT_STAT_CVG
    name: Per cent of pregnant women presenting at ANC who were tested for HIV or
      already knew their HIV positive status
    dataflow: ~
  HVA_PMTCT_STAT_NUM:
    code: HVA_PMTCT_STAT_NUM
    name: Reported number of pregnant women presenting at antenatal clinics (ANC)
      who were tested for HIV or already knew their HIV positive status
    dataflow: ~
  HVA_PMTCT_TEST_CVG:
    code: HVA_PMTCT_TEST_CVG
    name: Per cent of pregnant women presenting at ANC who were tested for HIV or
      already knew their HIV positive status
    dataflow: ~
  HVA_PMTCT_TEST_NUM:
    code: HVA_PMTCT_TEST_NUM
    name: Reported number of pregnant women presenting at antenatal clinics (ANC)
      who were tested for HIV or already knew their HIV positive status
    dataflow: ~
  HVA_PREV_CNDM_MULT:
    code: HVA_PREV_CNDM_MULT
    name: Per cent of young people (aged 15-24 years) who had more than one sexual
      partner in the past 12 months reporting the use of a condom during their last
      sexual intercourse
    dataflow: ~
  HVA_PREV_CNDM_REG:
    code: HVA_PREV_CNDM_REG
    name: Per cent of young people (aged 15-24 years) who had sex with a non-marital,
      non-cohabitating partner in the past 12 months reporting the use of a condom
      during their last sexual intercourse
    dataflow: ~
  HVA_PREV_KNOW:
    code: HVA_PREV_KNOW
    name: Per cent of young people (aged 15-24 years) with comprehensive, correct
      knowledge of HIV
    dataflow: ~
  HVA_PREV_KNOW_TEST:
    code: HVA_PREV_KNOW_TEST
    name: Per cent of young people (aged 15-24 years) who know a place to get tested
      for HIV
    dataflow: ~
  HVA_PREV_STIGMA:
    code: HVA_PREV_STIGMA
    name: Per cent of people (aged 15-49 years) expressing discriminatory attitudes
      towards people living with HIV
    dataflow: ~
  HVA_PREV_TEST_RES:
    code: HVA_PREV_TEST_RES
    name: Per cent of young people (aged 15-24 years) who have ever been tested for
      HIV and received the result of the last test
    dataflow: ~
  HVA_PREV_TEST_RES_12:
    code: HVA_PREV_TEST_RES_12
    name: Per cent of young people (aged 15-24 years) who were tested for HIV in the
      last 12 months and received the result of the last test
    dataflow: ~
  IMMUNISATION:
    code: IMMUNISATION
    name: Immunization
    dataflow: ~
  IM_BCG:
    code: IM_BCG
    name: Percentage of live births who received bacille Calmette-Guerin (vaccine
      against tuberculosis)
    dataflow: ~
  IM_DTP1:
    code: IM_DTP1
    name: Percentage of surviving infants who received the first dose of DTP-containing
      vaccine
    dataflow: ~
  IM_DTP3:
    code: IM_DTP3
    name: Percentage of surviving infants who received the third dose of DTP-containing
      vaccine
    dataflow: ~
  IM_HEPB3:
    code: IM_HEPB3
    name: Percentage of surviving infants who received the third dose of hep B-containing
      vaccine
    dataflow: ~
  IM_HEPBB:
    code: IM_HEPBB
    name: Percentage of live births who received hepatitis-B-containing vaccine within
      24 hours of birth
    dataflow: ~
  IM_HIB3:
    code: IM_HIB3
    name: Percentage of surviving infants who received the third dose of Hib-containing
      vaccine
    dataflow: ~
  IM_HPV:
    code: IM_HPV
    name: Percentage of females who received the last dose of human papillomavirus
      (HPV) vaccine per national schedule
    dataflow: ~
  IM_IPV1:
    code: IM_IPV1
    name: Percentage of surviving infants who received the first dose of inactivated
      polio-containing vaccine
    dataflow: ~
  IM_MCV1:
    code: IM_MCV1
    name: Percentage of surviving infants who received the first dose of measles-containing
      vaccine
    dataflow: ~
  IM_MCV2:
    code: IM_MCV2
    name: Percentage of children who received the 2nd dose of measles-containing vaccine,
      as per administered in the national schedule
    dataflow: ~
  IM_PAB:
    code: IM_PAB
    name: Percentage of newborns protected at birth against tetanus with tetanus toxoid
    dataflow: ~
  IM_PCV3:
    code: IM_PCV3
    name: Percentage of surviving infants who received the third dose of pneumococcal
      conjugate-containing vaccine (PCV)
    dataflow: ~
  IM_POL3:
    code: IM_POL3
    name: Percentage of surviving infants who received the third dose of inactivated
      polio-containing vaccine
    dataflow: ~
  IM_RCV1:
    code: IM_RCV1
    name: Percentage of surviving infants who received the first dose of rubella-containing
      vaccine
    dataflow: ~
  IM_ROTAC:
    code: IM_ROTAC
    name: Percentage of surviving infants who received the last dose of rotavirus-containing
      vaccine (2nd or 3rd dose depending on vaccine used)
    dataflow: ~
  IM_YFV:
    code: IM_YFV
    name: Percentage of surviving infants who received yellow fever- containing vaccine
      (for countries at risk and where the vaccine is in the national schedule)
    dataflow: ~
  MG:
    code: MG
    name: Migration
    dataflow: ~
  MG_ASYLM:
    code: MG_ASYLM
    name: Asylum seekers
    dataflow: ~
  MG_ASYLM_CNTRY_ASYLM:
    code: MG_ASYLM_CNTRY_ASYLM
    name: Asylum seekers, by country of asylum
    dataflow: ~
  MG_ASYLM_CNTRY_DEST:
    code: MG_ASYLM_CNTRY_DEST
    name: Asylum seekers, by country of destination
    dataflow: ~
  MG_INTERNAL_DISP_PERS:
    code: MG_INTERNAL_DISP_PERS
    name: Internally displaced persons (IDPs)
    dataflow: ~
  MG_INTNL-MG-NUM_U18_IN_HOST:
    code: MG_INTNL-MG-NUM_U18_IN_HOST
    name: Number of child migrants (under age 18) in host countries
    dataflow: ~
  MG_INTNL-MG-PCNT_T-POP:
    code: MG_INTNL-MG-PCNT_T-POP
    name: International migrants as a percentage of total population of country/area
    dataflow: ~
  MG_INTNL-MG-PCT_U18:
    code: MG_INTNL-MG-PCT_U18
    name: Percentage of under 18 among total international migrants
    dataflow: ~
  MG_INTNL_MG:
    code: MG_INTNL_MG
    name: International migrants
    dataflow: ~
  MG_INTNL_MG_CNTRY_DEST:
    code: MG_INTNL_MG_CNTRY_DEST
    name: International migrants, by country of destination
    dataflow: ~
  MG_INTNL_MG_CNTRY_ORIGIN:
    code: MG_INTNL_MG_CNTRY_ORIGIN
    name: International migrants, by country of origin
    dataflow: ~
  MG_NEW_INTERNAL_DISP:
    code: MG_NEW_INTERNAL_DISP
    name: New internal displacements
    dataflow: ~
  MG_RFGS:
    code: MG_RFGS
    name: Refugees
    dataflow: ~
  MG_RFGS-PCT_U18:
    code: MG_RFGS-PCT_U18
    name: Percentage of under 18 among total refugees
    dataflow: ~
  MG_RFGS_CAMP:
    code: MG_RFGS_CAMP
    name: Number of refugees in camps or collective accommodation
    dataflow: ~
  MG_RFGS_CAMP_U18:
    code: MG_RFGS_CAMP_U18
    name: Number of child refugees in camps (under age 18)
    dataflow: ~
  MG_RFGS_CNTRY_ASYLM:
    code: MG_RFGS_CNTRY_ASYLM
    name: Refugees, by country of asylum
    dataflow: ~
  MG_RFGS_CNTRY_ASYLM_PER1000:
    code: MG_RFGS_CNTRY_ASYLM_PER1000
    name: Refugees by host country, per 1000 population
    dataflow: ~
  MG_RFGS_CNTRY_ASYLM_PER_USD_GNI:
    code: MG_RFGS_CNTRY_ASYLM_PER_USD_GNI
    name: Refugees by host country, per 1 USD GNI per capita
    dataflow: ~
  MG_RFGS_CNTRY_ORIGIN:
    code: MG_RFGS_CNTRY_ORIGIN
    name: Refugees, by country of origin
    dataflow: ~
  MG_RFGS_INDIV_ACC:
    code: MG_RFGS_INDIV_ACC
    name: Number of refugees in individual accommodation
    dataflow: ~
  MG_RFGS_INDIV_ACC_U18:
    code: MG_RFGS_INDIV_ACC_U18
    name: Number of child refugees in individual accommodation (under age 18)
    dataflow: ~
  MG_RFGS_UNK_ACC:
    code: MG_RFGS_UNK_ACC
    name: Number of refugees in unknown type of accommodation
    dataflow: ~
  MG_RFGS_UNK_ACC_U18:
    code: MG_RFGS_UNK_ACC_U18
    name: Number of child refugees in unknown type of accommodation (under age 18)
    dataflow: ~
  MG_RTCN_RGHTS:
    code: MG_RTCN_RGHTS
    name: Ratification of human rights instruments
    dataflow: ~
  MG_UNRWA_RFGS_CNTRY_ASYLM:
    code: MG_UNRWA_RFGS_CNTRY_ASYLM
    name: Refugees under UNRWA mandate, by host country
    dataflow: ~
  MNCH:
    code: MNCH
    name: Maternal, child and newborn health
    dataflow: ~
  MNCH_ABR:
    code: MNCH_ABR
    name: Adolescent birth rate (number of live births to adolescent women per 1,000
      adolescent women)
    dataflow: ~
  MNCH_ADO_ALCOHOL:
    code: MNCH_ADO_ALCOHOL
    name: Percentage of adolescents (aged 15-19 years) who had at least one alcoholic
      drink at any time during the last 12 months
    dataflow: ~
  MNCH_ADO_INSUFF_PHYS:
    code: MNCH_ADO_INSUFF_PHYS
    name: Insufficient physical activity among school going adolescents
    dataflow: ~
  MNCH_ADO_TOBACCO:
    code: MNCH_ADO_TOBACCO
    name: Percentage of adolescents (aged 13-15 years) who smoked cigarettes or used
      smoked or smokeless tobacco products at any time during the last month
    dataflow: ~
  MNCH_ANC1:
    code: MNCH_ANC1
    name: Antenatal care 1+ visit - percentage of women (aged 15-49 years) attended
      at least once during pregnancy by skilled health personnel
    dataflow: ~
  MNCH_ANC4:
    code: MNCH_ANC4
    name: Antenatal care 4+ visits - percentage of women (aged 15-49 years) attended
      at least four times during pregnancy by any provider
    dataflow: ~
  MNCH_BIRTH18:
    code: MNCH_BIRTH18
    name: Early childbearing - percentage of women (aged 20-24 years) who gave birth
      before age 18
    dataflow: ~
  MNCH_CSEC:
    code: MNCH_CSEC
    name: C-section rate - percentage of deliveries by cesarean section
    dataflow: ~
  MNCH_DEMAND_FP:
    code: MNCH_DEMAND_FP
    name: Demand for family planning satisfied with modern methods - percentage of
      women (aged 15-49 years)
    dataflow: ~
  MNCH_DIARCARE:
    code: MNCH_DIARCARE
    name: Careseeking for diarrhoea - percentage of children (under age 5) with diarrhoea
      for whom advice or treatment was sought from a health facility or provider
    dataflow: ~
  MNCH_INFDEC:
    code: MNCH_INFDEC
    name: Proportion of women aged 15-19 years who make their own informed decisions
      regarding sexual relations, contraceptive use and reproductive health care
    dataflow: ~
  MNCH_INSTDEL:
    code: MNCH_INSTDEL
    name: Institutional deliveries - percentage of deliveries in a health facility
    dataflow: ~
  MNCH_IPTP:
    code: MNCH_IPTP
    name: IPTp for pregnant women - percentage of women (aged 15-49 years) who received
      three or more doses of intermittent preventive treatment during antenatal care
      visits during their last pregnancy
    dataflow: ~
  MNCH_ITN:
    code: MNCH_ITN
    name: ITN use by children - percentage of children (under age 5) who slept under
      an insecticide-treated mosquito net the night prior to the survey
    dataflow: ~
  MNCH_ITN2:
    code: MNCH_ITN2
    name: Household with insecticide treated net (ITN) and/or indoor residual spraying
      (IRS) - percentage of households with at least one ITN for every two persons
      and/or IRS in the past 12 months
    dataflow: ~
  MNCH_ITNOWN:
    code: MNCH_ITNOWN
    name: Percentage of households with at least one insecticide-treated mosquito
      net (ITN)
    dataflow: ~
  MNCH_ITNPREG:
    code: MNCH_ITNPREG
    name: Pregnant women sleeping under ITN - percentage of pregnant women (aged 15-49
      years) who slept under an insecticide-treated net the previous night
    dataflow: ~
  MNCH_LIFE_EXPECTANCY:
    code: MNCH_LIFE_EXPECTANCY
    name: Life expectancy at birth - number of years newborn female children would
      live if subject to the mortality risks prevailing for the cross section of population
      at the time of their birth (estimated)
    dataflow: ~
  MNCH_LTR_MATERNAL_DEATH:
    code: MNCH_LTR_MATERNAL_DEATH
    name: Lifetime risk of maternal death (probability (1 in X) that a 15-year-old
      girl (in the year of the estimate) will eventually die from a maternal cause)
    dataflow: ~
  MNCH_MATERNAL_DEATHS:
    code: MNCH_MATERNAL_DEATHS
    name: Maternal deaths (estimated)
    dataflow: ~
  MNCH_MLRACT:
    code: MNCH_MLRACT
    name: Malaria, first line treatment - percentage of febrile children (under age
      5) receiving ACT (first line antimalarial drug), among those receiving any antimalarial
      drugs
    dataflow: ~
  MNCH_MLRCARE:
    code: MNCH_MLRCARE
    name: Careseeking for febrile children - percentage of children (under age 5)
      with fever for whom advice or treatment was sought from a health facility or
      provider
    dataflow: ~
  MNCH_MLRDIAG:
    code: MNCH_MLRDIAG
    name: Malaria diagnostics - percentage of febrile children (under age 5) who had
      a finger or heel stick for malaria testing
    dataflow: ~
  MNCH_MMR:
    code: MNCH_MMR
    name: Maternal mortality ratio (number of maternal deaths per 100,000 live births)
    dataflow: ~
  MNCH_ORS:
    code: MNCH_ORS
    name: Diarrhoea treatment - percentage of children (under age 5) with diarrhoea
      who received ORS (packets or pre-packaged fluids)
    dataflow: ~
  MNCH_ORSZINC:
    code: MNCH_ORSZINC
    name: Diarrhoea treatment - percentage of children (under age 5) with diarrhoea
      who received ORS and zinc
    dataflow: ~
  MNCH_ORTCF:
    code: MNCH_ORTCF
    name: Diarrhoea treatment - percentage of children (under age 5) with diarrhoea
      who received ORT (oral rehydration salts or recommended homemade fluids or increased
      fluids) and continued feeding
    dataflow: ~
  MNCH_PNCMOM:
    code: MNCH_PNCMOM
    name: Postnatal care for mothers - percentage of women (aged 15-49 years) who
      received postnatal care within 2 days of giving birth
    dataflow: ~
  MNCH_PNCNB:
    code: MNCH_PNCNB
    name: Postnatal care for newborns - percentage of newborns who have a postnatal
      contact with a health provider within 2 days of delivery
    dataflow: ~
  MNCH_PNEUCARE:
    code: MNCH_PNEUCARE
    name: Careseeking for ARI - percentage of children (under age 5) with acute respiratory
      infection symptoms whom advice or treatment was sought from a health facility
      or provider
    dataflow: ~
  MNCH_PNEUMORT:
    code: MNCH_PNEUMORT
    name: Percentage deaths of children under 5 years of age due to pneumonia
    dataflow: ~
  MNCH_SAB:
    code: MNCH_SAB
    name: Skilled birth attendant - percentage of deliveries attended by skilled health
      personnel
    dataflow: ~
  MNCH_UHC:
    code: MNCH_UHC
    name: Coverage of essential health services
    dataflow: ~
  MNCH_UHC_RMNCH:
    code: MNCH_UHC_RMNCH
    name: Universal health coverage index for reproductive, maternal, newborn and
      child-health interventions
    dataflow: ~
  MNCH_ZINC:
    code: MNCH_ZINC
    name: Diarrhoea treatment - percentage of children (under age 5) with diarrhoea
      who received zinc
    dataflow: ~
  NT_ANE_WOM_15_19:
    code: NT_ANE_WOM_15_19
    name: Anaemia prevalence in women aged 15-19
    dataflow: ~
  NT_ANT_BAZ_AVG:
    code: NT_ANT_BAZ_AVG
    name: Mean BMI-for-age
    dataflow: ~
  NT_ANT_BAZ_NE1:
    code: NT_ANT_BAZ_NE1
    name: BMI-for-age <-1 SD
    dataflow: ~
  NT_ANT_BAZ_NE1_T_NE2:
    code: NT_ANT_BAZ_NE1_T_NE2
    name: BMI-for-age <-1 SD and ≥ -2 SD, Survey Estimates
    dataflow: ~
  NT_ANT_BAZ_NE2:
    code: NT_ANT_BAZ_NE2
    name: BMI-for-age <-2 SD
    dataflow: ~
  NT_ANT_BAZ_NE2_T_NE3:
    code: NT_ANT_BAZ_NE2_T_NE3
    name: BMI-for-age <-2 SD and ≥ -3 SD, Survey Estimates
    dataflow: ~
  NT_ANT_BAZ_NE3:
    code: NT_ANT_BAZ_NE3
    name: BMI-for-age <-3 SD
    dataflow: ~
  NT_ANT_BAZ_PO1:
    code: NT_ANT_BAZ_PO1
    name: BMI-for-age >+1 SD
    dataflow: ~
  NT_ANT_BAZ_PO1_T_PO2:
    code: NT_ANT_BAZ_PO1_T_PO2
    name: BMI-for-age >+1 SD and ≤+2 SD, Survey Estimates
    dataflow: ~
  NT_ANT_BAZ_PO2:
    code: NT_ANT_BAZ_PO2
    name: BMI-for-age >+2 SD
    dataflow: ~
  NT_ANT_BAZ_PO2_T_PO3:
    code: NT_ANT_BAZ_PO2_T_PO3
    name: BMI-for-age >+2 SD and ≤+3 SD, Survey Estimates
    dataflow: ~
  NT_ANT_BAZ_PO3:
    code: NT_ANT_BAZ_PO3
    name: BMI-for-age >+3 SD
    dataflow: ~
  NT_ANT_BAZ_SD:
    code: NT_ANT_BAZ_SD
    name: BMI-for-age (Standard Deviation)
    dataflow: ~
  NT_ANT_COMB:
    code: NT_ANT_COMB
    name: Wasted, Overweight or Stunted
    dataflow: ~
  NT_ANT_FREE:
    code: NT_ANT_FREE
    name: No Wasting, Overweight, Stunting
    dataflow: ~
  NT_ANT_HAZWHZ_NE2_NE2:
    code: NT_ANT_HAZWHZ_NE2_NE2
    name: Height-for-age <-2SD & Weight-for-height <-2SD
    dataflow: ~
  NT_ANT_HAZWHZ_NE2_PO2:
    code: NT_ANT_HAZWHZ_NE2_PO2
    name: Height-for-age <-2SD & Weight-for-height >+2SD
    dataflow: ~
  NT_ANT_HAZWHZ_NE3_NE2:
    code: NT_ANT_HAZWHZ_NE3_NE2
    name: Height-for-age <-3SD & Weight-for-height <-2SD
    dataflow: ~
  NT_ANT_HAZWHZ_NE3_PO2:
    code: NT_ANT_HAZWHZ_NE3_PO2
    name: Height-for-age <-3SD & Weight-for-height >+2SD
    dataflow: ~
  NT_ANT_HAZ_AVG:
    code: NT_ANT_HAZ_AVG
    name: Mean Height-for-age
    dataflow: ~
  NT_ANT_HAZ_NE1:
    code: NT_ANT_HAZ_NE1
    name: Height-for-age <-1 SD
    dataflow: ~
  NT_ANT_HAZ_NE1_T_NE2:
    code: NT_ANT_HAZ_NE1_T_NE2
    name: Height-for-age <-1 SD and ≥ -2 SD (Mild Stunting only), Survey Estimates
    dataflow: ~
  NT_ANT_HAZ_NE2:
    code: NT_ANT_HAZ_NE2
    name: Height-for-age <-2 SD (stunting)
    dataflow: ~
  NT_ANT_HAZ_NE2_MOD:
    code: NT_ANT_HAZ_NE2_MOD
    name: Height-for-age <-2 SD (stunting), Modeled Estimates
    dataflow: ~
  NT_ANT_HAZ_NE2_MOD_NUMTH:
    code: NT_ANT_HAZ_NE2_MOD_NUMTH
    name: Height-for-age <-2 SD (Stunting) Modeled Estimates, Numbers Affected
    dataflow: ~
  NT_ANT_HAZ_NE2_ONLY:
    code: NT_ANT_HAZ_NE2_ONLY
    name: Height-for-age <-2SD but weight-for-height ≥-2SD and weight-for-height ≤2SD
    dataflow: ~
  NT_ANT_HAZ_NE2_T_NE3:
    code: NT_ANT_HAZ_NE2_T_NE3
    name: Height-for-age <-2 SD and ≥ -3 SD (Moderate Stunting only), Survey Estimates
    dataflow: ~
  NT_ANT_HAZ_NE3:
    code: NT_ANT_HAZ_NE3
    name: Height-for-age <-3 SD (Severe Stunting)
    dataflow: ~
  NT_ANT_HAZ_PO1:
    code: NT_ANT_HAZ_PO1
    name: Height-for-age >+1 SD
    dataflow: ~
  NT_ANT_HAZ_PO1_T_PO2:
    code: NT_ANT_HAZ_PO1_T_PO2
    name: Height-for-age >+1 SD and ≤+2 SD, Survey Estimates
    dataflow: ~
  NT_ANT_HAZ_PO2:
    code: NT_ANT_HAZ_PO2
    name: Height-for-age >+2 SD
    dataflow: ~
  NT_ANT_HAZ_PO2_T_PO3:
    code: NT_ANT_HAZ_PO2_T_PO3
    name: Height-for-age >+2 SD and ≤+3 SD, Survey Estimates
    dataflow: ~
  NT_ANT_HAZ_PO3:
    code: NT_ANT_HAZ_PO3
    name: Height-for-age >+3 SD
    dataflow: ~
  NT_ANT_HAZ_SD:
    code: NT_ANT_HAZ_SD
    name: Height-for-age (Standard Deviation)
    dataflow: ~
  NT_ANT_SAM_T:
    code: NT_ANT_SAM_T
    name: Total number of children with SAM admitted for treatment
    dataflow: ~
  NT_ANT_WAZWHZ_NE2_NE2:
    code: NT_ANT_WAZWHZ_NE2_NE2
    name: Weight-for-age <-2SD & Weight-for-height <-2SD
    dataflow: ~
  NT_ANT_WAZWHZ_NE3_NE2:
    code: NT_ANT_WAZWHZ_NE3_NE2
    name: Weight-for-age <-3SD & Weight-for-height <-2SD
    dataflow: ~
  NT_ANT_WAZ_AVG:
    code: NT_ANT_WAZ_AVG
    name: Weight-for-age (Mean)
    dataflow: ~
  NT_ANT_WAZ_NE1:
    code: NT_ANT_WAZ_NE1
    name: Weight-for-age <-1 SD
    dataflow: ~
  NT_ANT_WAZ_NE1_T_NE2:
    code: NT_ANT_WAZ_NE1_T_NE2
    name: Weight-for-age <-1 SD and ≥ -2 SD, Survey Estimates
    dataflow: ~
  NT_ANT_WAZ_NE2:
    code: NT_ANT_WAZ_NE2
    name: Weight-for-age <-2 SD (Underweight)
    dataflow: ~
  NT_ANT_WAZ_NE2_T_NE3:
    code: NT_ANT_WAZ_NE2_T_NE3
    name: Weight-for-age <-2 SD and ≥ -3 SD, Survey Estimates
    dataflow: ~
  NT_ANT_WAZ_NE3:
    code: NT_ANT_WAZ_NE3
    name: Weight-for-age <-3 SD (Severe Underweight)
    dataflow: ~
  NT_ANT_WAZ_PO1:
    code: NT_ANT_WAZ_PO1
    name: Weight-for-age >+1 SD
    dataflow: ~
  NT_ANT_WAZ_PO1_T_PO2:
    code: NT_ANT_WAZ_PO1_T_PO2
    name: Weight-for-age >+1 SD and ≤+2 SD, Survey Estimates
    dataflow: ~
  NT_ANT_WAZ_PO2:
    code: NT_ANT_WAZ_PO2
    name: Weight-for-age (>+2 SD)
    dataflow: ~
  NT_ANT_WAZ_PO2_T_PO3:
    code: NT_ANT_WAZ_PO2_T_PO3
    name: Weight-for-age >+2 SD and ≤+3 SD, Survey Estimates
    dataflow: ~
  NT_ANT_WAZ_PO3:
    code: NT_ANT_WAZ_PO3
    name: Weight-for-age (>+3 SD)
    dataflow: ~
  NT_ANT_WAZ_SD:
    code: NT_ANT_WAZ_SD
    name: Weight-for-age (Standard Deviation)
    dataflow: ~
  NT_ANT_WHZ_AVG:
    code: NT_ANT_WHZ_AVG
    name: Mean Weight-for-height
    dataflow: ~
  NT_ANT_WHZ_NE1:
    code: NT_ANT_WHZ_NE1
    name: Weight-for-height <-1 SD
    dataflow: ~
  NT_ANT_WHZ_NE1_T_NE2:
    code: NT_ANT_WHZ_NE1_T_NE2
    name: Weight-for-height <-1 SD and ≥ -2 SD, Survey Estimates
    dataflow: ~
  NT_ANT_WHZ_NE2:
    code: NT_ANT_WHZ_NE2
    name: Weight-for-height <-2 SD (wasting)
    dataflow: ~
  NT_ANT_WHZ_NE2_ONLY:
    code: NT_ANT_WHZ_NE2_ONLY
    name: Weight-for-height <-2SD but height-for-age ≥-2SD
    dataflow: ~
  NT_ANT_WHZ_NE2_T_NE3:
    code: NT_ANT_WHZ_NE2_T_NE3
    name: Weight-for-height <-2 SD and ≥ -3 SD, Survey Estimates
    dataflow: ~
  NT_ANT_WHZ_NE3:
    code: NT_ANT_WHZ_NE3
    name: Weight-for-height <-3 SD (severe wasting)
    dataflow: ~
  NT_ANT_WHZ_PO1:
    code: NT_ANT_WHZ_PO1
    name: Weight-for-height >+1 SD
    dataflow: ~
  NT_ANT_WHZ_PO1_T_PO2:
    code: NT_ANT_WHZ_PO1_T_PO2
    name: Weight-for-height >+1 SD and ≤+2 SD, Survey Estimates
    dataflow: ~
  NT_ANT_WHZ_PO2:
    code: NT_ANT_WHZ_PO2
    name: Weight-for-height >+2 SD (overweight)
    dataflow: ~
  NT_ANT_WHZ_PO2_MOD:
    code: NT_ANT_WHZ_PO2_MOD
    name: Weight-for-height >+2 SD (overweight), Modeled Estimates
    dataflow: ~
  NT_ANT_WHZ_PO2_MOD_NUMTH:
    code: NT_ANT_WHZ_PO2_MOD_NUMTH
    name: Weight-for-height >+2 SD (Overweight) Modeled Estimates, Numbers Affected
    dataflow: ~
  NT_ANT_WHZ_PO2_ONLY:
    code: NT_ANT_WHZ_PO2_ONLY
    name: Weight-for-height >+2SD but height-for-age ≥-2SD
    dataflow: ~
  NT_ANT_WHZ_PO2_T_PO3:
    code: NT_ANT_WHZ_PO2_T_PO3
    name: Weight-for-height >+2 SD and ≤+3 SD, Survey Estimates
    dataflow: ~
  NT_ANT_WHZ_PO3:
    code: NT_ANT_WHZ_PO3
    name: Weight-for-height >+3 SD
    dataflow: ~
  NT_ANT_WHZ_SD:
    code: NT_ANT_WHZ_SD
    name: Weight-for-height (Standard Deviation)
    dataflow: ~
  NT_BF_CBF_12_15:
    code: NT_BF_CBF_12_15
    name: Continued breastfeeding (12-15 months)
    dataflow: ~
  NT_BF_CBF_12_23:
    code: NT_BF_CBF_12_23
    name: Continued breastfeeding (12-23 months)
    dataflow: ~
  NT_BF_CBF_20_23:
    code: NT_BF_CBF_20_23
    name: Continued breastfeeding (20-23 months)
    dataflow: ~
  NT_BF_EBF:
    code: NT_BF_EBF
    name: Ever breastfed (0-23 months)
    dataflow: ~
  NT_BF_EIBF:
    code: NT_BF_EIBF
    name: Early initiation of breastfeeding
    dataflow: ~
  NT_BF_EXBF:
    code: NT_BF_EXBF
    name: Exclusive breastfeeding (0-5 months)
    dataflow: ~
  NT_BF_EXBF_2D:
    code: NT_BF_EXBF_2D
    name: Exclusively Breastfed for the First Two Days After Birth
    dataflow: ~
  NT_BF_MIXMF:
    code: NT_BF_MIXMF
    name: Mixed Milk Feeding (0-5 months)
    dataflow: ~
  NT_BF_PRED_BF:
    code: NT_BF_PRED_BF
    name: Predominantly breastfeeding (children aged 0 to 5 months)
    dataflow: ~
  NT_BW_LBW:
    code: NT_BW_LBW
    name: Prevalence of low birth weight among new-borns
    dataflow: ~
  NT_BW_LBW_MOD:
    code: NT_BW_LBW_MOD
    name: Number (in thousands) of live births that weighed less than 2500 g (Modeled
      Estimates)
    dataflow: ~
  NT_BW_LBW_MOD_NUMTH:
    code: NT_BW_LBW_MOD_NUMTH
    name: Number (in thousands) of live births that weighed less than 2500 g (Modeled
      Estimates)
    dataflow: ~
  NT_BW_UNW:
    code: NT_BW_UNW
    name: Percentage of births without a birth weight in the data source
    dataflow: ~
  NT_CF_ASF:
    code: NT_CF_ASF
    name: Egg and/or flesh foods consumption (6-23months)
    dataflow: ~
  NT_CF_BREASTMILK:
    code: NT_CF_BREASTMILK
    name: Food group- Breastmilk (6-23months)
    dataflow: ~
  NT_CF_DAIRY:
    code: NT_CF_DAIRY
    name: Food group- Dairy (milk, infant formula, yogurt, cheese) (6-23months)
    dataflow: ~
  NT_CF_EGGS:
    code: NT_CF_EGGS
    name: Food group- Eggs (6-23months)
    dataflow: ~
  NT_CF_FF:
    code: NT_CF_FF
    name: Food group- Flesh foods (meat, poultry, fish and organ meats) (6-23months)
    dataflow: ~
  NT_CF_GRAINS:
    code: NT_CF_GRAINS
    name: Food group- Grains, roots, tubers and plantains (6-23months)
    dataflow: ~
  NT_CF_ISSSF_FL:
    code: NT_CF_ISSSF_FL
    name: Introduction to solid, semi-solid foods (6-8 months)
    dataflow: ~
  NT_CF_LEGUMES:
    code: NT_CF_LEGUMES
    name: Food group- Pulses (beans, peas, lentils), nuts and seeds (6-23months)
    dataflow: ~
  NT_CF_MAD:
    code: NT_CF_MAD
    name: Minimum acceptable diet (children aged 6-23 months)
    dataflow: ~
  NT_CF_MDD:
    code: NT_CF_MDD
    name: Minimum diet diversity (children aged 6 to 23 months)
    dataflow: ~
  NT_CF_MMF:
    code: NT_CF_MMF
    name: Minimum meal frequency (children aged 6 to 23 months)
    dataflow: ~
  NT_CF_OTHER_FV:
    code: NT_CF_OTHER_FV
    name: Food group- Other fruits and vegetables (6-23months)
    dataflow: ~
  NT_CF_VITA:
    code: NT_CF_VITA
    name: Food group- Vitamin-A rich fruits and vegetables (6-23months)
    dataflow: ~
  NT_CF_ZEROFV:
    code: NT_CF_ZEROFV
    name: Zero vegetable or fruit consumption (6-23months)
    dataflow: ~
  NT_FOOD_INSEC_HH:
    code: NT_FOOD_INSEC_HH
    name: Prevalence of moderate + severe food insecurity in the adult population
    dataflow: ~
  NT_IOD_ANY_TH:
    code: NT_IOD_ANY_TH
    name: Iodized salt consumption (>0 ppm) among all tested households
    dataflow: ~
  NT_IOD_ANY_TS:
    code: NT_IOD_ANY_TS
    name: Iodized salt consumption (>0 ppm) among all tested households with salt
    dataflow: ~
  NT_OVERWEIGHT:
    code: NT_OVERWEIGHT
    name: Overweight
    dataflow: ~
  NT_SANT_10_19_BAZ_NE2_MOD:
    code: NT_SANT_10_19_BAZ_NE2_MOD
    name: Prevalence of thinness among children aged 10-19 years, BMI < -2 standard
      deviations below the median (Crude estimate)
    dataflow: ~
  NT_SANT_10_19_BAZ_PO1_MOD:
    code: NT_SANT_10_19_BAZ_PO1_MOD
    name: Prevalence of overweight among children aged 10-19 years, BMI > +1 standard
      deviations above the median (Crude estimate)
    dataflow: ~
  NT_THINNESS:
    code: NT_THINNESS
    name: Thinness
    dataflow: ~
  NT_VAS_S1:
    code: NT_VAS_S1
    name: Vitamin A Supplementation, Semester 1 Coverage
    dataflow: ~
  NT_VAS_S2:
    code: NT_VAS_S2
    name: Vitamin A Supplementation, Semester 2 Coverage
    dataflow: ~
  NT_VAS_TWODOSE:
    code: NT_VAS_TWODOSE
    name: Vitamin A Supplementation, two-dose coverage
    dataflow: ~
  NUTRITION:
    code: NUTRITION
    name: Nutrition
    dataflow: ~
  PT:
    code: PT
    name: Child protection and development
    dataflow: ~
  PT_ADLS_10-14_LBR_HC:
    code: PT_ADLS_10-14_LBR_HC
    name: Percentage of adolescents (aged 10-14 years) engaged in household chores
    dataflow: ~
  PT_ADLT_PS_NEC:
    code: PT_ADLT_PS_NEC
    name: Percentage of adults who think that physical punishment is necessary to
      raise/educate children
    dataflow: ~
  PT_CHLD_1-14_PS-PSY-V_CGVR:
    code: PT_CHLD_1-14_PS-PSY-V_CGVR
    name: Percentage of children (aged 1-14 years) who experienced any physical punishment
      and/or psychological aggression by caregivers
    dataflow: ~
  PT_CHLD_5-17_LBR_ECON:
    code: PT_CHLD_5-17_LBR_ECON
    name: Percentage of children (aged 5-17 years) engaged in child labour (economic
      activities)
    dataflow: ~
  PT_CHLD_5-17_LBR_ECON-HC:
    code: PT_CHLD_5-17_LBR_ECON-HC
    name: Percentage of children (aged 5-17 years) engaged in child labour (economic
      activities and household chores)
    dataflow: ~
  PT_CHLD_CONFLICT:
    code: PT_CHLD_CONFLICT
    name: Estimated number of children (aged 0-17 years) exposed to conflict
    dataflow: ~
  PT_CHLD_DN:
    code: PT_CHLD_DN
    name: Rate of children in detention
    dataflow: ~
  PT_CHLD_RES-CARE:
    code: PT_CHLD_RES-CARE
    name: Rate of children in residential care
    dataflow: ~
  PT_CHLD_Y0T4_REG:
    code: PT_CHLD_Y0T4_REG
    name: Percentage of children under age 5 whose births are registered
    dataflow: ~
  PT_CM_BANK:
    code: PT_CM_BANK
    name: Percentage of women aged 20 to 24 years who have an account at a bank or
      other financial institution, by child marriage status
    dataflow: ~
  PT_CM_BIRTHS18:
    code: PT_CM_BIRTHS18
    name: Percentage of women aged 20 to 24 years who gave birth before age 18, by
      child marriage status
    dataflow: ~
  PT_CM_BIRTHS20:
    code: PT_CM_BIRTHS20
    name: Percentage of women aged 20 to 24 years who gave birth before age 20, by
      child marriage status
    dataflow: ~
  PT_CM_DEC_FAMILY:
    code: PT_CM_DEC_FAMILY
    name: Percentage of women aged 20 to 24 years who usually decide (alone or with
      their spouses) about visits to the women's families, by child marriage status
    dataflow: ~
  PT_CM_EMPLOY_12M:
    code: PT_CM_EMPLOY_12M
    name: Percentage of women aged 20 to 24 years who have had a job in the past 12
      months, by child marriage status
    dataflow: ~
  PT_CM_IPV_12M:
    code: PT_CM_IPV_12M
    name: Percentage of women aged 20 to 24 years who experienced intimate partner
      violence in the past 12 months, by child marriage status
    dataflow: ~
  PT_CM_MRD_SCHOOL:
    code: PT_CM_MRD_SCHOOL
    name: Percentage of adolescent girls aged 15 to 17 years who are currently married
      or in union, by schooling status
    dataflow: ~
  PT_CM_NM_SCHOOL:
    code: PT_CM_NM_SCHOOL
    name: Percentage of adolescent girls aged 15 to 17 years who were never married
      or in union, by schooling status
    dataflow: ~
  PT_CM_W_BTNG:
    code: PT_CM_W_BTNG
    name: Percentage of women aged 20 to 24 years who believe a husband is justified
      in beating his wife under certain circumstances, by child marriage status
    dataflow: ~
  PT_FUNC_DIFFICULTY:
    code: PT_FUNC_DIFFICULTY
    name: Percentage of children aged 2-17 years  with any functional difficulty in
      at least one domain
    dataflow: ~
  PT_F_0-14_FGM:
    code: PT_F_0-14_FGM
    name: Percentage of girls (aged 0-14 years) who have undergone female genital
      mutilation (FGM)
    dataflow: ~
  PT_F_15-17_SX-V:
    code: PT_F_15-17_SX-V
    name: Percentage of girls (aged 15-17 years) who have experienced sexual violence
    dataflow: ~
  PT_F_15-17_SX-V_HLP:
    code: PT_F_15-17_SX-V_HLP
    name: Percentage of girls (aged 15-17 years) who have ever experienced any sexual
      violence and sought help from a professional
    dataflow: ~
  PT_F_15-19_MRD:
    code: PT_F_15-19_MRD
    name: Percentage of girls aged 15-19 years who are currently married or in union
    dataflow: ~
  PT_F_15-49_FGM:
    code: PT_F_15-49_FGM
    name: Percentage of girls and women (aged 15-49 years) who have undergone female
      genital mutilation (FGM)
    dataflow: ~
  PT_F_15-49_FGM_ELIM:
    code: PT_F_15-49_FGM_ELIM
    name: Percentage of women (aged 15-49 years) who think that FGM should be eliminated
    dataflow: ~
  PT_F_15-49_W-BTNG:
    code: PT_F_15-49_W-BTNG
    name: Percentage of women (aged 15-49 years) who consider a husband to be justified
      in hitting or beating his wife for at least one of the specified reasons
    dataflow: ~
  PT_F_18-29_SX-V_AGE-18:
    code: PT_F_18-29_SX-V_AGE-18
    name: Percentage of women (aged 18-29 years) who experienced sexual violence by
      age 18
    dataflow: ~
  PT_F_20-24_MRD_U15:
    code: PT_F_20-24_MRD_U15
    name: Percentage of women (aged 20-24 years) married or in union before age 15
    dataflow: ~
  PT_F_20-24_MRD_U15_PRJ:
    code: PT_F_20-24_MRD_U15_PRJ
    name: Projected percentage of women aged 20 to 24 years who were first married
      or in union before age 15
    dataflow: ~
  PT_F_20-24_MRD_U15_TND:
    code: PT_F_20-24_MRD_U15_TND
    name: Percentage of women aged 20 to 24 years who were first married or in union
      before age 15 (UNICEF analysis, trend)
    dataflow: ~
  PT_F_20-24_MRD_U18:
    code: PT_F_20-24_MRD_U18
    name: Percentage of women (aged 20-24 years) married or in union before age 18
    dataflow: ~
  PT_F_20-24_MRD_U18_PRJ:
    code: PT_F_20-24_MRD_U18_PRJ
    name: Projected percentage of women aged 20 to 24 years who were first married
      or in union before age 18
    dataflow: ~
  PT_F_20-24_MRD_U18_TND:
    code: PT_F_20-24_MRD_U18_TND
    name: Percentage of women aged 20 to 24 years who were first married or in union
      before age 18 (UNICEF analysis, trend)
    dataflow: ~
  PT_F_GE15_PS-SX-EM_V_PTNR_12MNTH:
    code: PT_F_GE15_PS-SX-EM_V_PTNR_12MNTH
    name: Percentage of ever-partnered women and girls (aged 15 years and older) subjected
      to physical, sexual or psychological violence by a current or former intimate
      partner in the previous 12 months
    dataflow: ~
  PT_F_GE15_SX_V_PTNR_12MNTH:
    code: PT_F_GE15_SX_V_PTNR_12MNTH
    name: Women and girls aged 15 and older subjected to sexual violence by persons
      other than an intimate partner in the previous 12 months
    dataflow: ~
  PT_F_TMRD15:
    code: PT_F_TMRD15
    name: Total number of girls and women of all ages who were first married or in
      union before age 15
    dataflow: ~
  PT_F_TMRD18:
    code: PT_F_TMRD18
    name: Total number of girls and women of all ages who were first married or in
      union before age 18
    dataflow: ~
  PT_M_15-17_SX-V:
    code: PT_M_15-17_SX-V
    name: Percentage of boys (aged 15-17 years) who have experienced sexual violence
    dataflow: ~
  PT_M_15-17_SX-V_HLP:
    code: PT_M_15-17_SX-V_HLP
    name: Percentage of boys (aged 15-17 years) who have ever experienced any sexual
      violence and sought help from a professional
    dataflow: ~
  PT_M_15-19_MRD:
    code: PT_M_15-19_MRD
    name: Percentage of boys aged 15-19 years who are currently married or in union
    dataflow: ~
  PT_M_15-49_FGM_ELIM:
    code: PT_M_15-49_FGM_ELIM
    name: Percentage of boys and men (aged 15-49 years) who think that FGM should
      be eliminated
    dataflow: ~
  PT_M_15-49_W-BTNG:
    code: PT_M_15-49_W-BTNG
    name: Percentage of men (aged 15-49 years) who consider a husband to be justified
      in hitting or beating his wife for at least one of the specified reasons
    dataflow: ~
  PT_M_18-29_SX-V_AGE-18:
    code: PT_M_18-29_SX-V_AGE-18
    name: Percentage of men (aged 18-29 years) who experienced sexual violence by
      age 18
    dataflow: ~
  PT_M_20-24_MRD_U18:
    code: PT_M_20-24_MRD_U18
    name: Percentage of men (aged 20-24 years) married or in union before age 18
    dataflow: ~
  PT_ST_13-15_BUL_30-DYS:
    code: PT_ST_13-15_BUL_30-DYS
    name: Percentage of students (aged 13-15 years) who reported being bullied on
      1 or more days in the past 30 days
    dataflow: ~
  PV:
    code: PV
    name: Child poverty
    dataflow: ~
  PV_ADOLESCENT:
    code: PV_ADOLESCENT
    name: Adolescent poverty
    dataflow: ~
  PV_CHLD_DPRV-AVG-HS:
    code: PV_CHLD_DPRV-AVG-HS
    name: Average number of deprivations suffered per child. Homogeneous moderate
      standards
    dataflow: ~
  PV_CHLD_DPRV-AVG-POV-HS:
    code: PV_CHLD_DPRV-AVG-POV-HS
    name: Average number of deprivations for children suffering at least one deprivation.
      Homogeneous moderate standards
    dataflow: ~
  PV_CHLD_DPRV-AVG-POV-S-HS:
    code: PV_CHLD_DPRV-AVG-POV-S-HS
    name: Average number of deprivations for children suffering at least one deprivation.
      Homogeneous severe standards
    dataflow: ~
  PV_CHLD_DPRV-AVG-S-HS:
    code: PV_CHLD_DPRV-AVG-S-HS
    name: Average number of deprivations suffered per child. Homogeneous severe standards
    dataflow: ~
  PV_CHLD_DPRV-E1-HS:
    code: PV_CHLD_DPRV-E1-HS
    name: Percentage Children suffering exactly one deprivation. Homogeneous moderate
      standards
    dataflow: ~
  PV_CHLD_DPRV-E2-HS:
    code: PV_CHLD_DPRV-E2-HS
    name: Percentage Children suffering exactly two deprivation. Homogeneous moderate
      standards
    dataflow: ~
  PV_CHLD_DPRV-E3-HS:
    code: PV_CHLD_DPRV-E3-HS
    name: Percentage Children suffering exactly three deprivation. Homogeneous moderate
      standards
    dataflow: ~
  PV_CHLD_DPRV-E4-HS:
    code: PV_CHLD_DPRV-E4-HS
    name: Percentage Children suffering exactly four deprivation. Homogeneous moderate
      standards
    dataflow: ~
  PV_CHLD_DPRV-E5-HS:
    code: PV_CHLD_DPRV-E5-HS
    name: Percentage Children suffering exactly five deprivation. Homogeneous moderate
      standards
    dataflow: ~
  PV_CHLD_DPRV-L1-HS:
    code: PV_CHLD_DPRV-L1-HS
    name: Percentage children suffering at least one deprivation. Homogeneous moderate
      standards
    dataflow: ~
  PV_CHLD_DPRV-L2-HS:
    code: PV_CHLD_DPRV-L2-HS
    name: Percentage children suffering at least two deprivation. Homogeneous moderate
      standards
    dataflow: ~
  PV_CHLD_DPRV-L3-HS:
    code: PV_CHLD_DPRV-L3-HS
    name: Percentage children suffering at least three deprivation. Homogeneous moderate
      standards
    dataflow: ~
  PV_CHLD_DPRV-L4-HS:
    code: PV_CHLD_DPRV-L4-HS
    name: Percentage children suffering at least four deprivation. Homogeneous moderate
      standards
    dataflow: ~
  PV_CHLD_DPRV-L5-HS:
    code: PV_CHLD_DPRV-L5-HS
    name: Percentage children suffering at least five deprivation. Homogeneous moderate
      standards
    dataflow: ~
  PV_CHLD_DPRV-S-E1-HS:
    code: PV_CHLD_DPRV-S-E1-HS
    name: Percentage Children suffering exactly one deprivation. Homogeneous severe
      standards
    dataflow: ~
  PV_CHLD_DPRV-S-E2-HS:
    code: PV_CHLD_DPRV-S-E2-HS
    name: Percentage Children suffering exactly two deprivation. Homogeneous severe
      standards
    dataflow: ~
  PV_CHLD_DPRV-S-E3-HS:
    code: PV_CHLD_DPRV-S-E3-HS
    name: Percentage Children suffering exactly three deprivation. Homogeneous severe
      standards
    dataflow: ~
  PV_CHLD_DPRV-S-E4-HS:
    code: PV_CHLD_DPRV-S-E4-HS
    name: Percentage Children suffering exactly four deprivation. Homogeneous severe
      standards
    dataflow: ~
  PV_CHLD_DPRV-S-E5-HS:
    code: PV_CHLD_DPRV-S-E5-HS
    name: Percentage Children suffering exactly five deprivation. Homogeneous severe
      standards
    dataflow: ~
  PV_CHLD_DPRV-S-L1-HS:
    code: PV_CHLD_DPRV-S-L1-HS
    name: Percentage children suffering at least one deprivation. Homogeneous severe
      standards
    dataflow: ~
  PV_CHLD_DPRV-S-L2-HS:
    code: PV_CHLD_DPRV-S-L2-HS
    name: Percentage children suffering at least two deprivation. Homogeneous severe
      standards
    dataflow: ~
  PV_CHLD_DPRV-S-L3-HS:
    code: PV_CHLD_DPRV-S-L3-HS
    name: Percentage children suffering at least three deprivation. Homogeneous severe
      standards
    dataflow: ~
  PV_CHLD_DPRV-S-L4-HS:
    code: PV_CHLD_DPRV-S-L4-HS
    name: Percentage children suffering at least four deprivation. Homogeneous severe
      standards
    dataflow: ~
  PV_CHLD_DPRV-S-L5-HS:
    code: PV_CHLD_DPRV-S-L5-HS
    name: Percentage children suffering at least five deprivation. Homogeneous severe
      standards
    dataflow: ~
  PV_CHLD_HLD-SCL-TRNS:
    code: PV_CHLD_HLD-SCL-TRNS
    name: Percentage of children living in the households that received any type of
      social transfers
    dataflow: ~
  PV_CHLD_INCM-PL:
    code: PV_CHLD_INCM-PL
    name: Children living in households with income below the national poverty line
      (as a % of all children)
    dataflow: ~
  PV_GAP:
    code: PV_GAP
    name: Poverty gap (%)
    dataflow: ~
  PV_LEVEL:
    code: PV_LEVEL
    name: Poverty Level
    dataflow: ~
  PV_POP_SP:
    code: PV_POP_SP
    name: Proportion of population covered by social protection floors/systems, by
      sex, distinguishing children, unemployed persons, older persons, persons with
      disabilities, pregnant women, newborns, work-injury victims and the poor and
      the vulnerable
    dataflow: ~
  PV_POP_TOT_PV:
    code: PV_POP_TOT_PV
    name: Population in total poverty (%)
    dataflow: ~
  PV_POP_XTR_PV:
    code: PV_POP_XTR_PV
    name: Population in extreme poverty (%)
    dataflow: ~
  PV_PRO_PSS:
    code: PV_PRO_PSS
    name: Pro-poor public social spending
    dataflow: ~
  PV_PRO_PSS_DIRECT_TRANSFER:
    code: PV_PRO_PSS_DIRECT_TRANSFER
    name: Pro-poor public social spending, direct transfers (%)
    dataflow: ~
  PV_PRO_PSS_EDU:
    code: PV_PRO_PSS_EDU
    name: Pro-poor public social spending, education (%)
    dataflow: ~
  PV_PRO_PSS_HEALTH:
    code: PV_PRO_PSS_HEALTH
    name: Pro-poor public social spending, health (%)
    dataflow: ~
  PV_SVRTY:
    code: PV_SVRTY
    name: Severity of total poverty (%)
    dataflow: ~
  PV_VMIR:
    code: PV_VMIR
    name: Vast Majority Income Ratio
    dataflow: ~
  SPP:
    code: SPP
    name: Social Protection
    dataflow: ~
  SPP_CHLD_POV_PROF:
    code: SPP_CHLD_POV_PROF
    name: Child Poverty Profile
    dataflow: ~
  SPP_CHLD_SOC_PROT:
    code: SPP_CHLD_SOC_PROT
    name: Proportion of children covered by social protection
    dataflow: ~
  SPP_DIST_SOC_PROT_BNFT:
    code: SPP_DIST_SOC_PROT_BNFT
    name: Distribution of Social Protection Benefits (%)
    dataflow: ~
  SPP_GDPPC:
    code: SPP_GDPPC
    name: GDP per capita (current US$)
    dataflow: ~
  SPP_GINI:
    code: SPP_GINI
    name: Gini Coefficient
    dataflow: ~
  SPP_HSLD_INCOME_SHARE:
    code: SPP_HSLD_INCOME_SHARE
    name: Share of household income (%)
    dataflow: ~
  SPP_MOTHERS_CASH_BNF:
    code: SPP_MOTHERS_CASH_BNF
    name: Mothers with newborns receiving cash benefit (%)
    dataflow: ~
  SPP_PALMA:
    code: SPP_PALMA
    name: Palma Index of income inequality
    dataflow: ~
  SPP_VMI:
    code: SPP_VMI
    name: VMI (vast majority index of income inequality)
    dataflow: ~
  TRGT:
    code: TRGT
    name: National Targets
    dataflow: ~
  TRGT_2025_NT_ANE_WOM_15_49_MOD:
    code: TRGT_2025_NT_ANE_WOM_15_49_MOD
    name: National target (Year 2025) for Anaemia prevalence in women of reproductive
      age
    dataflow: ~
  TRGT_2025_NT_ANT_HAZ_NE2_MOD:
    code: TRGT_2025_NT_ANT_HAZ_NE2_MOD
    name: National target (Year 2025) for Stunting
    dataflow: ~
  TRGT_2025_NT_ANT_WHZ_NE2:
    code: TRGT_2025_NT_ANT_WHZ_NE2
    name: National target (Year 2025) for Wasting
    dataflow: ~
  TRGT_2025_NT_ANT_WHZ_NE3:
    code: TRGT_2025_NT_ANT_WHZ_NE3
    name: National target (Year 2025) for Severe Wasting
    dataflow: ~
  TRGT_2025_NT_ANT_WHZ_PO2_MOD:
    code: TRGT_2025_NT_ANT_WHZ_PO2_MOD
    name: National target (Year 2025) for Overweight
    dataflow: ~
  TRGT_2025_NT_BF_EXBF:
    code: TRGT_2025_NT_BF_EXBF
    name: National target (Year 2025) for Exclusive Breastfeeding
    dataflow: ~
  TRGT_2025_NT_BW_LBW:
    code: TRGT_2025_NT_BW_LBW
    name: National target (Year 2025) for low birth weight
    dataflow: ~
  TRGT_2030_CME_MRM0:
    code: TRGT_2030_CME_MRM0
    name: National target (Year 2030) for Neonatal mortality rate
    dataflow: ~
  TRGT_2030_CME_MRY0T4:
    code: TRGT_2030_CME_MRY0T4
    name: National target (Year 2030) for Under-five mortality rate
    dataflow: ~
  TRGT_2030_CME_SBR:
    code: TRGT_2030_CME_SBR
    name: National target (Year 2030) for stillbirth rate
    dataflow: ~
  TRGT_2030_ECD_CHLD_36-59M_LMPSL:
    code: TRGT_2030_ECD_CHLD_36-59M_LMPSL
    name: National target (Year 2030) for Early Childhood Development Index
    dataflow: ~
  TRGT_2030_ED_ANAR_L02:
    code: TRGT_2030_ED_ANAR_L02
    name: National target (Year 2030) for School atendance (pre-primary)
    dataflow: ~
  TRGT_2030_ED_CR_L1:
    code: TRGT_2030_ED_CR_L1
    name: National target (Year 2030) for Completion rate (primary)
    dataflow: ~
  TRGT_2030_ED_CR_L2:
    code: TRGT_2030_ED_CR_L2
    name: National target (Year 2030) for Completion rate (lower secondary)
    dataflow: ~
  TRGT_2030_ED_CR_L3:
    code: TRGT_2030_ED_CR_L3
    name: National target (Year 2030) for Completion rate (upper secondary)
    dataflow: ~
  TRGT_2030_ED_MAT_G23:
    code: TRGT_2030_ED_MAT_G23
    name: National target (Year 2030) for Math proficiency (grade 2/3)
    dataflow: ~
  TRGT_2030_ED_MAT_L1:
    code: TRGT_2030_ED_MAT_L1
    name: National target (Year 2030) for Math proficiency (primary)
    dataflow: ~
  TRGT_2030_ED_MAT_L2:
    code: TRGT_2030_ED_MAT_L2
    name: National target (Year 2030) for Math proficiency (lower secondary)
    dataflow: ~
  TRGT_2030_ED_READ_G23:
    code: TRGT_2030_ED_READ_G23
    name: National target (Year 2030) for Reading proficiency (grade 2/3)
    dataflow: ~
  TRGT_2030_ED_READ_L1:
    code: TRGT_2030_ED_READ_L1
    name: National target (Year 2030) for Reading proficiency (primary)
    dataflow: ~
  TRGT_2030_ED_READ_L2:
    code: TRGT_2030_ED_READ_L2
    name: National target (Year 2030) for Reading proficiency (lower secondary)
    dataflow: ~
  TRGT_2030_ED_ROFST_L1:
    code: TRGT_2030_ED_ROFST_L1
    name: National target (Year 2030) for Out-of-school (primary)
    dataflow: ~
  TRGT_2030_ED_ROFST_L2:
    code: TRGT_2030_ED_ROFST_L2
    name: National target (Year 2030) for Out-of-school (lower secondary)
    dataflow: ~
  TRGT_2030_ED_ROFST_L3:
    code: TRGT_2030_ED_ROFST_L3
    name: National target (Year 2030) for Out-of-school (upper secondary)
    dataflow: ~
  TRGT_2030_GN_SG_LGL_GENEQEMP:
    code: TRGT_2030_GN_SG_LGL_GENEQEMP
    name: National target (Year 2030) for Gender Legal frameworks
    dataflow: ~
  TRGT_2030_HVA_EPI_INF_RT_0-14:
    code: TRGT_2030_HVA_EPI_INF_RT_0-14
    name: National target (Year 2030) for HIV Infections (0-14y/o, both Sexes)
    dataflow: ~
  TRGT_2030_HVA_EPI_INF_RT_15-19:
    code: TRGT_2030_HVA_EPI_INF_RT_15-19
    name: National target (Year 2030) for HIV Infections (15-19y/o, both Sexes)
    dataflow: ~
  TRGT_2030_IM_DTP3:
    code: TRGT_2030_IM_DTP3
    name: National target (Year 2030) for DTP3 coverage
    dataflow: ~
  TRGT_2030_IM_HPV:
    code: TRGT_2030_IM_HPV
    name: National target (Year 2030) for HPVc coverage
    dataflow: ~
  TRGT_2030_IM_MCV1:
    code: TRGT_2030_IM_MCV1
    name: National target (Year 2030) for MCV1 coverage
    dataflow: ~
  TRGT_2030_IM_MCV2:
    code: TRGT_2030_IM_MCV2
    name: National target (Year 2030) for MCV2 coverage
    dataflow: ~
  TRGT_2030_IM_PCV3:
    code: TRGT_2030_IM_PCV3
    name: National target (Year 2030) for PCV3 coverage
    dataflow: ~
  TRGT_MNCH_ABR:
    code: TRGT_MNCH_ABR
    name: National target (Year 2030) for Adolescent birth rate (15-19)
    dataflow: ~
  TRGT_MNCH_INFDEC:
    code: TRGT_MNCH_INFDEC
    name: National target (Year 2030) for Reproductive health agency
    dataflow: ~
  TRGT_MNCH_MMR:
    code: TRGT_MNCH_MMR
    name: National target (Year 2030) for Maternal mortality ratio
    dataflow: ~
  TRGT_MNCH_SAB:
    code: TRGT_MNCH_SAB
    name: National target (Year 2030) for Skilled birth attendant
    dataflow: ~
  TRGT_MNCH_UHC:
    code: TRGT_MNCH_UHC
    name: National target (Year 2030) for Coverage of essential health services
    dataflow: ~
  TRGT_2030_NT_ANE_WOM_15_49_MOD:
    code: TRGT_2030_NT_ANE_WOM_15_49_MOD
    name: National target (Year 2030) for Anaemia prevalence in women of reproductive
      age
    dataflow: ~
  TRGT_2030_NT_ANT_HAZ_NE2_MOD:
    code: TRGT_2030_NT_ANT_HAZ_NE2_MOD
    name: National target (Year 2030) for Stunting
    dataflow: ~
  TRGT_2030_NT_ANT_WHZ_NE2:
    code: TRGT_2030_NT_ANT_WHZ_NE2
    name: National target (Year 2030) for Wasting
    dataflow: ~
  TRGT_2030_NT_ANT_WHZ_NE3:
    code: TRGT_2030_NT_ANT_WHZ_NE3
    name: National target (Year 2030) for Severe Wasting
    dataflow: ~
  TRGT_2030_NT_ANT_WHZ_PO2_MOD:
    code: TRGT_2030_NT_ANT_WHZ_PO2_MOD
    name: National target (Year 2030) for Overweight
    dataflow: ~
  TRGT_2030_NT_BF_EXBF:
    code: TRGT_2030_NT_BF_EXBF
    name: National target (Year 2030) for Exclusive Breastfeeding
    dataflow: ~
  TRGT_2030_NT_BW_LBW:
    code: TRGT_2030_NT_BW_LBW
    name: National target (Year 2030) for low birth weight
    dataflow: ~
  TRGT_2030_PT_CHLD_1-14_PS-PSY-V_CGVR:
    code: TRGT_2030_PT_CHLD_1-14_PS-PSY-V_CGVR
    name: National target (Year 2030) for Violent discipline
    dataflow: ~
  TRGT_2030_PT_CHLD_5-17_LBR_ECON:
    code: TRGT_2030_PT_CHLD_5-17_LBR_ECON
    name: National target (Year 2030) for Child labour
    dataflow: ~
  TRGT_2030_PT_CHLD_5-17_LBR_ECON-HC:
    code: TRGT_2030_PT_CHLD_5-17_LBR_ECON-HC
    name: National target (Year 2030) for Child labour
    dataflow: ~
  TRGT_2030_PT_CHLD_Y0T4_REG:
    code: TRGT_2030_PT_CHLD_Y0T4_REG
    name: National target (Year 2030) for Birth registration
    dataflow: ~
  TRGT_2030_PT_F_15-49_FGM:
    code: TRGT_2030_PT_F_15-49_FGM
    name: National target (Year 2030) for Female genital mutilation
    dataflow: ~
  TRGT_2030_PT_F_18-29_SX-V_AGE-18:
    code: TRGT_2030_PT_F_18-29_SX-V_AGE-18
    name: National target (Year 2030) for Sexual violence in childhood (Female)
    dataflow: ~
  TRGT_2030_PT_F_20-24_MRD_U15:
    code: TRGT_2030_PT_F_20-24_MRD_U15
    name: National target (Year 2030) for Child Marriage
    dataflow: ~
  TRGT_2030_PT_F_20-24_MRD_U18:
    code: TRGT_2030_PT_F_20-24_MRD_U18
    name: National target (Year 2030) for Child Marriage
    dataflow: ~
  TRGT_2030_PT_F_GE15_PS-SX-EM_V_PTNR_12MNTH:
    code: TRGT_2030_PT_F_GE15_PS-SX-EM_V_PTNR_12MNTH
    name: National target (Year 2030) for Intimate partner violence
    dataflow: ~
  TRGT_2030_PT_M_18-29_SX-V_AGE-18:
    code: TRGT_2030_PT_M_18-29_SX-V_AGE-18
    name: National target (Year 2030) for Sexual violence in childhood (Male)
    dataflow: ~
  TRGT_2030_PV_CHLD_AllPOP_NATPOVL:
    code: TRGT_2030_PV_CHLD_AllPOP_NATPOVL
    name: National target (Year 2030) for Population in poverty
    dataflow: ~
  TRGT_2030_PV_CHLD_DPRV-S-L1-HS:
    code: TRGT_2030_PV_CHLD_DPRV-S-L1-HS
    name: National target (Year 2030) for Child poverty
    dataflow: ~
  TRGT_2030_PV_CHLD_INCM-PL:
    code: TRGT_2030_PV_CHLD_INCM-PL
    name: National target (Year 2030) for Children in poor households
    dataflow: ~
  TRGT_2030_PV_CHLD_SP:
    code: TRGT_2030_PV_CHLD_SP
    name: National target (Year 2030) for Children covered by Social Protection
    dataflow: ~
  TRGT_2030_SDG111_215:
    code: TRGT_2030_SDG111_215
    name: National target (Year 2030) for Children in HH below PPPU$ 2.15
    dataflow: ~
  TRGT_2030_WS_PPL_H-B:
    code: TRGT_2030_WS_PPL_H-B
    name: National target (Year 2030) for Basic hygiene
    dataflow: ~
  TRGT_2030_WS_PPL_S-ALB:
    code: TRGT_2030_WS_PPL_S-ALB
    name: National target (Year 2030) for At least basic sanitation
    dataflow: ~
  TRGT_2030_WS_PPL_S-OD:
    code: TRGT_2030_WS_PPL_S-OD
    name: National target (Year 2030) for Open defecation
    dataflow: ~
  TRGT_2030_WS_PPL_S-SM:
    code: TRGT_2030_WS_PPL_S-SM
    name: National target (Year 2030) for Safely managed sanitation
    dataflow: ~
  TRGT_2030_WS_PPL_W-ALB:
    code: TRGT_2030_WS_PPL_W-ALB
    name: National target (Year 2030) for At least basic drinking water
    dataflow: ~
  TRGT_2030_WS_PPL_W-SM:
    code: TRGT_2030_WS_PPL_W-SM
    name: National target (Year 2030) for Safely managed drinking water
    dataflow: ~
  TRGT_CME:
    code: TRGT_CME
    name: Child mortality National Targets
    dataflow: ~
  TRGT_ED:
    code: TRGT_ED
    name: Education National Targets
    dataflow: ~
  TRGT_GN:
    code: TRGT_GN
    name: Gender National Targets
    dataflow: ~
  TRGT_HVA:
    code: TRGT_HVA
    name: HIV/AIDS National Targets
    dataflow: ~
  TRGT_IM:
    code: TRGT_IM
    name: Immunization National Targets
    dataflow: ~
  TRGT_MNCH:
    code: TRGT_MNCH
    name: Maternal and child health National Targets
    dataflow: ~
  TRGT_NT:
    code: TRGT_NT
    name: Nutrition National Targets
    dataflow: ~
  TRGT_PT:
    code: TRGT_PT
    name: Child protection National Targets
    dataflow: ~
  TRGT_PV:
    code: TRGT_PV
    name: Child poverty National Targets
    dataflow: ~
  TRGT_WS:
    code: TRGT_WS
    name: WASH National Targets
    dataflow: ~
  WS:
    code: WS
    name: Water, sanitation and hygiene
    dataflow: ~
  WS_HCF_C-B:
    code: WS_HCF_C-B
    name: Proportion of health care facilities with basic cleaning services
    dataflow: ~
  WS_HCF_C-L:
    code: WS_HCF_C-L
    name: Proportion of health care facilities with limited cleaning services
    dataflow: ~
  WS_HCF_C-N:
    code: WS_HCF_C-N
    name: Proportion of health care facilities with no cleaning service
    dataflow: ~
  WS_HCF_H-B:
    code: WS_HCF_H-B
    name: Proportion of health care facilities with basic hygiene services
    dataflow: ~
  WS_HCF_H-L:
    code: WS_HCF_H-L
    name: Proportion of health care facilities with limited hygiene services
    dataflow: ~
  WS_HCF_H-N:
    code: WS_HCF_H-N
    name: Proportion of health care facilities with no hygiene service
    dataflow: ~
  WS_HCF_S-B:
    code: WS_HCF_S-B
    name: Proportion of health care facilities with basic sanitation services
    dataflow: ~
  WS_HCF_S-L:
    code: WS_HCF_S-L
    name: Proportion of health care facilities with limited sanitation services
    dataflow: ~
  WS_HCF_S-N:
    code: WS_HCF_S-N
    name: Proportion of health care facilities with no sanitation service
    dataflow: ~
  WS_HCF_W-B:
    code: WS_HCF_W-B
    name: Proportion of health care facilities with basic water services
    dataflow: ~
  WS_HCF_W-L:
    code: WS_HCF_W-L
    name: Proportion of health care facilities with limited water services
    dataflow: ~
  WS_HCF_W-N:
    code: WS_HCF_W-N
    name: Proportion of health care facilities with no water service
    dataflow: ~
  WS_HCF_WM-B:
    code: WS_HCF_WM-B
    name: Proportion of health care facilities with basic health care waste management
      services
    dataflow: ~
  WS_HCF_WM-L:
    code: WS_HCF_WM-L
    name: Proportion of health care facilities with limited health care waste management
      services
    dataflow: ~
  WS_HCF_WM-N:
    code: WS_HCF_WM-N
    name: Proportion of health care facilities with no health care waste management
      service
    dataflow: ~
  WS_PPL_H-B:
    code: WS_PPL_H-B
    name: Proportion of population with a handwashing facility with soap and water
      available at home
    dataflow: ~
  WS_PPL_H-L:
    code: WS_PPL_H-L
    name: Proportion of population with a limited handwashing facility
    dataflow: ~
  WS_PPL_H-N:
    code: WS_PPL_H-N
    name: Proportion of population with no handwashing facility at home
    dataflow: ~
  WS_PPL_M-NPART_AGE_15_19:
    code: WS_PPL_M-NPART_AGE_15_19
    name: Percentage of adolescent girls aged 15-19 years who did not participate
      in school, work, or social activities during their last menstrual period
    dataflow: ~
  WS_PPL_S-ALB:
    code: WS_PPL_S-ALB
    name: Proportion of population using at least basic sanitation services
    dataflow: ~
  WS_PPL_S-B:
    code: WS_PPL_S-B
    name: Proportion of population using basic sanitation services
    dataflow: ~
  WS_PPL_S-DIS:
    code: WS_PPL_S-DIS
    name: Proportion of population using on-site sanitation facilities with human
      waste disposed in situ
    dataflow: ~
  WS_PPL_S-FST:
    code: WS_PPL_S-FST
    name: Proportion of population using of on-site sanitation facilities with human
      waste treated off-site
    dataflow: ~
  WS_PPL_S-I:
    code: WS_PPL_S-I
    name: Proportion of population using improved sanitation facilities
    dataflow: ~
  WS_PPL_S-L:
    code: WS_PPL_S-L
    name: Proportion of population using limited sanitation services
    dataflow: ~
  WS_PPL_S-LAT:
    code: WS_PPL_S-LAT
    name: Proportion of population using improved latrines and other improved facilities
    dataflow: ~
  WS_PPL_S-OD:
    code: WS_PPL_S-OD
    name: Proportion of population practising open defecation
    dataflow: ~
  WS_PPL_S-SEP:
    code: WS_PPL_S-SEP
    name: Proportion of population using sanitation facilities connected to septic
      tanks
    dataflow: ~
  WS_PPL_S-SEW:
    code: WS_PPL_S-SEW
    name: Proportion of population using sanitation facilities connected to sewer
      networks
    dataflow: ~
  WS_PPL_S-SM:
    code: WS_PPL_S-SM
    name: Proportion of population using safely managed sanitation services
    dataflow: ~
  WS_PPL_S-UI:
    code: WS_PPL_S-UI
    name: Proportion of population using unimproved sanitation facilites
    dataflow: ~
  WS_PPL_S-WWT:
    code: WS_PPL_S-WWT
    name: Proportion of population using sanitation facilities connected to sewer
      networks and with sewage treated to at least secondary levels
    dataflow: ~
  WS_PPL_W-ALB:
    code: WS_PPL_W-ALB
    name: Proportion of population using at least basic drinking water services
    dataflow: ~
  WS_PPL_W-AVA:
    code: WS_PPL_W-AVA
    name: Proportion of population using improved drinking water sources available
      when needed
    dataflow: ~
  WS_PPL_W-B:
    code: WS_PPL_W-B
    name: Proportion of population using basic drinking water services
    dataflow: ~
  WS_PPL_W-I:
    code: WS_PPL_W-I
    name: Proportion of population using improved drinking water sources
    dataflow: ~
  WS_PPL_W-L:
    code: WS_PPL_W-L
    name: Proportion of population using limited drinking water services
    dataflow: ~
  WS_PPL_W-NP:
    code: WS_PPL_W-NP
    name: Proportion of population using non-piped improved drinking water sources
    dataflow: ~
  WS_PPL_W-P:
    code: WS_PPL_W-P
    name: Proportion of population using piped drinking water sources
    dataflow: ~
  WS_PPL_W-PRE:
    code: WS_PPL_W-PRE
    name: Proportion of population using improved drinking water sources located on
      premises
    dataflow: ~
  WS_PPL_W-QUA:
    code: WS_PPL_W-QUA
    name: Proportion of population using of improved drinking water sources free from
      faecal and priority chemical contamination
    dataflow: ~
  WS_PPL_W-SM:
    code: WS_PPL_W-SM
    name: Proportion of population using safely managed drinking water services
    dataflow: ~
  WS_PPL_W-SW:
    code: WS_PPL_W-SW
    name: Proportion of population using surface water
    dataflow: ~
  WS_PPL_W-UI:
    code: WS_PPL_W-UI
    name: Proportion of population using unimproved drinking water sources
    dataflow: ~
  WS_SCH_H-B:
    code: WS_SCH_H-B
    name: Proportion of schools with basic hygiene services
    dataflow: ~
  WS_SCH_H-L:
    code: WS_SCH_H-L
    name: Proportion of schools with limited hygiene services
    dataflow: ~
  WS_SCH_H-N:
    code: WS_SCH_H-N
    name: Proportion of schools with no hygiene service
    dataflow: ~
  WS_SCH_S-B:
    code: WS_SCH_S-B
    name: Proportion of schools with basic sanitation services
    dataflow: ~
  WS_SCH_S-L:
    code: WS_SCH_S-L
    name: Proportion of schools with limited sanitation services
    dataflow: ~
  WS_SCH_S-N:
    code: WS_SCH_S-N
    name: Proportion of schools with no sanitation service
    dataflow: ~
  WS_SCH_W-B:
    code: WS_SCH_W-B
    name: Proportion of schools with basic drinking water services
    dataflow: ~
  WS_SCH_W-L:
    code: WS_SCH_W-L
    name: Proportion of schools with limited drinking water services
    dataflow: ~
  WS_SCH_W-N:
    code: WS_SCH_W-N
    name: Proportion of schools with no drinking water service
    dataflow: ~
  WT:
    code: WT
    name: Transition to work
    dataflow: ~
  WT_ADLS_10-17_LBR_ECON:
    code: WT_ADLS_10-17_LBR_ECON
    name: Child labour thresholds (economic activity)
    dataflow: ~
  WT_ADLS_10-17_LBR_HC:
    code: WT_ADLS_10-17_LBR_HC
    name: Child labour thresholds (household chores)
    dataflow: ~
  WT_ADLS_10-17_TIME_ECON:
    code: WT_ADLS_10-17_TIME_ECON
    name: Time spent in economic activities
    dataflow: ~
  WT_ADLS_10-17_TIME_HC:
    code: WT_ADLS_10-17_TIME_HC
    name: Time spent in household chores
    dataflow: ~
  WT_ADLS_15-19_ED_NEET:
    code: WT_ADLS_15-19_ED_NEET
    name: Percentage of adolescents (aged 15-19 years) not in education, employment
      or training
    dataflow: ~
  WT_ADLS_15-19_LAB_FRC_UNEMP:
    code: WT_ADLS_15-19_LAB_FRC_UNEMP
    name: Percentage of adolescents (aged 15-19 years) in the labour force who are
      unemployed
    dataflow: ~
  WS_SCH_H-F:
    code: WS_SCH_H-F
    name: Proportion of schools with handwashing facilities
    dataflow: ~
  WS_SCH_S-I:
    code: WS_SCH_S-I
    name: Proportion of schools with improved sanitation facilities
    dataflow: ~
  WS_SCH_W-I:
    code: WS_SCH_W-I
    name: Proportion of schools with improved drinking water sources
    dataflow: ~
  IM_IPV2:
    code: IM_IPV2
    name: Percentage of surviving infants who received the second dose of inactivated
      polio-containing vaccine
    dataflow: ~
  IM_MENGA:
    code: IM_MENGA
    name: Percentage of surviving infants who received Meningococcal A conjugate vaccine
    dataflow: ~
  HVA_EPI_LHIV:
    code: HVA_EPI_LHIV
    name: Estimated number of children living with HIV
    dataflow: ~
  HVA_EPI_DTH_ANN:
    code: HVA_EPI_DTH_ANN
    name: Estimated number of annual AIDS-related deaths
    dataflow: ~
  HVA_EPI_INF_ANN:
    code: HVA_EPI_INF_ANN
    name: Estimated number of new HIV infections
    dataflow: ~
  DM_POP_CHILD_PROP:
    code: DM_POP_CHILD_PROP
    name: Children population as proportion of total population (%)
    dataflow: ~
  PT_F_PS-SX_V_PTNR_12MNTH:
    code: PT_F_PS-SX_V_PTNR_12MNTH
    name: Percentage of ever-partnered girls aged 15 to 19 years who have experienced
      physical and/or sexual violence by a current or former intimate partner in the
      last 12 months
    dataflow: ~
  PV_PRO_PSS_HEALTH_BOTTOM20:
    code: PV_PRO_PSS_HEALTH_BOTTOM20
    name: Pro-poor public social spending, health - Bottom quintile (%)
    dataflow: ~
  PV_PRO_PSS_EDU_BOTTOM20:
    code: PV_PRO_PSS_EDU_BOTTOM20
    name: Pro-poor public social spending, education - Bottom quintile (%)
    dataflow: ~
  PV_PRO_PSS_DIRECT_TRANSFER_BOTTOM20:
    code: PV_PRO_PSS_DIRECT_TRANSFER_BOTTOM20
    name: Pro-poor public social spending, direct transfers - Bottom quintile (%)
    dataflow: ~
  PV_PRO_PSS_BOTTOM20:
    code: PV_PRO_PSS_BOTTOM20
    name: Pro-poor public public social spending - Bottom quintile
    dataflow: ~
  TRGT_2030_ECD_CHLD_LMPSL:
    code: TRGT_2030_ECD_CHLD_LMPSL
    name: Proportion of children aged 24-59 months of age who are developmentally
      on track in health, learning and psychosocial well-being, by sex
    dataflow: ~
  NT_CF_FG_0_T_2:
    code: NT_CF_FG_0_T_2
    name: Severe food poverty
    dataflow: ~
  NT_CF_FG_3_T_4:
    code: NT_CF_FG_3_T_4
    name: Moderate food poverty
    dataflow: ~
  NT_DANT_BMI_L18_MOD:
    code: NT_DANT_BMI_L18_MOD
    name: Prevalence of underweight among adults, BMI < 18.5 (Age-standardized estimate)
    dataflow: ~
  NT_SANT_5_19_BAZ_NE2_MOD:
    code: NT_SANT_5_19_BAZ_NE2_MOD
    name: Percentage of thinness among children aged 5-19 years, BMI < -2 standard
      deviations below the median (crude estimate)
    dataflow: ~
  NT_SANT_5_19_BAZ_PO1_MOD:
    code: NT_SANT_5_19_BAZ_PO1_MOD
    name: Percentage of overweight among children aged 5-19 years, BMI > +1 standard
      deviations above the median (crude estimate)
    dataflow: ~
  NT_ANE_WOM_15_49_MOD:
    code: NT_ANE_WOM_15_49_MOD
    name: Prevalence of anaemia in women aged 15-49 (Modeled Estimates)
    dataflow: ~
  ECD_CHLD_LMPSL:
    code: ECD_CHLD_LMPSL
    name: Proportion of children aged 24-59 months of age who are developmentally
      on track in health, learning and psychosocial well-being, by sex
    dataflow: ~
  ED_CR_L1_UIS_MOD:
    code: ED_CR_L1_UIS_MOD
    name: Completion rate for children of primary school age (Modeled)
    dataflow: ~
  ED_CR_L2_UIS_MOD:
    code: ED_CR_L2_UIS_MOD
    name: Completion rate for adolescents of lower secondary school age (Modeled)
    dataflow: ~
  ED_CR_L3_UIS_MOD:
    code: ED_CR_L3_UIS_MOD
    name: Completion rate for youth of upper secondary education school age (Modeled)
    dataflow: ~
  ED_FLS_NUM:
    code: ED_FLS_NUM
    name: Foundational Numeracy Skills
    dataflow: ~
  ED_FLS_READ:
    code: ED_FLS_READ
    name: Foundational Reading Skills
    dataflow: ~
  ED_ROFST_L3_UIS:
    code: ED_ROFST_L3_UIS
    name: Out-of-school rate for youth of upper secondary school age (Modeled)
    dataflow: ~
  ED_SE_LPV_PRIM:
    code: ED_SE_LPV_PRIM
    name: Learning Poverty Rate
    dataflow: ~
  ED_ROFST_L1_UIS:
    code: ED_ROFST_L1_UIS
    name: Out-of-school rate for children of primary school age (Modeled)
    dataflow: ~
  ED_ROFST_L2_UIS:
    code: ED_ROFST_L2_UIS
    name: Out-of-school rate for adolescents of lower secondary school age (Modeled)
    dataflow: ~
  ED_ANAR_L01:
    code: ED_ANAR_L01
    name: Net enrolment rate, early childhood education
    dataflow: ~
  ED_SE_LPV_PRIM_LD:
    code: ED_SE_LPV_PRIM_LD
    name: Learning Deprivation
    dataflow: ~
  ED_SE_LPV_PRIM_SD:
    code: ED_SE_LPV_PRIM_SD
    name: Schooling Deprivation
    dataflow: ~
  ED_PRYA_AG15T24:
    code: ED_PRYA_AG15T24
    name: Participation rate of youth and adults in formal and non-formal education
      and training in the previous 12 months, 15-24 years old (%)
    dataflow: ~
  ED_ROFST_L02:
    code: ED_ROFST_L02
    name: Out-of-school rate for children one year before the official primary entry
      age (%)
    dataflow: ~
  ED_ROFST_L1_UIS_MOD:
    code: ED_ROFST_L1_UIS_MOD
    name: Out-of-school rate for children of primary school age (%), (modelled data)
    dataflow: ~
  ED_ROFST_L2_UIS_MOD:
    code: ED_ROFST_L2_UIS_MOD
    name: Out-of-school rate for adolescents of lower secondary school age (%), (modelled
      data)
    dataflow: ~
  ED_ROFST_L3_UIS_MOD:
    code: ED_ROFST_L3_UIS_MOD
    name: Out-of-school rate for youth of upper secondary school age (%), (modelled
      data)
    dataflow: ~
  PT_CHLD_1-14_PS-PSY-V_CGVR_TND:
    code: PT_CHLD_1-14_PS-PSY-V_CGVR_TND
    name: Percentage of children (aged 1-14 years) who experienced any physical punishment
      and/or psychological aggression by caregivers (UNICEF analysis, trend)
    dataflow: ~
  DM_BRTS_SURVIVING_1:
    code: DM_BRTS_SURVIVING_1
    name: Live Births Surviving to Age 1
    dataflow: ~
  PT_F_15-49_FGM_TND:
    code: PT_F_15-49_FGM_TND
    name: Percentage of girls and women (aged 15-49 years) who have undergone female
      genital mutilation (FGM) (UNICEF analysis, trend)
    dataflow: ~
  NT_BW_WEI:
    code: NT_BW_WEI
    name: Children with a birth weight
    dataflow: ~
  NT_DANT_BMI_G25_MOD:
    code: NT_DANT_BMI_G25_MOD
    name: Prevalence of overweight among adults, BMI ≥ 25 (Crude estimate)
    dataflow: ~
  NT_DANT_BMI_G30_MOD_ADJ:
    code: NT_DANT_BMI_G30_MOD_ADJ
    name: Prevalence of obesity among adults, BMI ≥ 30 (Age-standardized estimate)
    dataflow: ~
  NT_SANT_5_19_BAZ_PO2_MOD:
    code: NT_SANT_5_19_BAZ_PO2_MOD
    name: Prevalence of obesity among children aged 5-19 years, BMI > +2 standard
      deviations above the median (Crude estimate)
    dataflow: ~
  ECD_CHLD_LMPSL_PRXY:
    code: ECD_CHLD_LMPSL_PRXY
    name: 'Percentage of children aged 36-59 months who are developmentally on track
      in at least three of the following four domains: literacy-numeracy, physical,
      social-emotional and learning'
    dataflow: ~
  MNCH_CSEC_TND:
    code: MNCH_CSEC_TND
    name: C-section rate - percentage of deliveries by cesarean section (trends)
    dataflow: ~
  MNCH_INSTDEL_TND:
    code: MNCH_INSTDEL_TND
    name: Institutional deliveries - percentage of deliveries in a health facility
      (trends)
    dataflow: ~
  PT_F_15-19_FGM_TND:
    code: PT_F_15-19_FGM_TND
    name: Trend in FGM prevalence among girls aged 15-19
    dataflow: ~
  DM_POP_PS_URBN:
    code: DM_POP_PS_URBN
    name: Population by urban-rural national definitions
    dataflow: ~
  DM_POP_DOU:
    code: DM_POP_DOU
    name: Percentage of population by degree of urbanization at mid-year
    dataflow: ~
  DM_POP_PS_DOU:
    code: DM_POP_PS_DOU
    name: Population by degree of urbanization at mid-year
    dataflow: ~
  DM_POP_DOU_GRT:
    code: DM_POP_DOU_GRT
    name: Annual rate of change of the population by degree of urbanization
    dataflow: ~
  DM_BU_PC_DOU:
    code: DM_BU_PC_DOU
    name: Built-up area per capita by degree of urbanization (m2)
    dataflow: ~
