_metadata:
  platform: Stata
  version: '2.0.0'
  synced_at: '2026-02-15T15:06:43Z'
  source: https://sdmx.data.unicef.org/ws/public/sdmxapi/rest/codelist/UNICEF
  agency: UNICEF
  content_type: codelists
  total_codelists: 5
  codes_per_list:
    CL_AGE: 446
    CL_WEALTH_QUINTILE: 16
    CL_RESIDENCE: 11
    CL_UNIT_MEASURE: 80
    CL_OBS_STATUS: 38
codelists:
  CL_AGE:
    id: CL_AGE
    agency: UNICEF
    version: latest
    codes:
      JUVENILE_ADOLESCENT: 'Juvenile/adolescent'
      LSRY_SCHOOL_AGE: 'Lower secondary school age'
      M0: 'Under 1 month old'
      M0T1: 'Under 2 months old'
      M0T11: 'Under 12 months old'
      M0T23: 'Under 24 months old'
      M0T35: 'Under 36 months old'
      M0T47: 'Under 48 months old'
      M0T5: 'Under 6 months old'
      M0T59: 'Under 60 months old'
      M10T11: '10 to 11 months old'
      M12T13: '12 to 13 months old'
      M12T15: '12 to 15 months old'
      M12T17: '12 to 17 months old'
      M12T23: '12 to 23 months old'
      M14T15: '14 to 15 months old'
      M16T17: '16 to 17 months old'
      M16T19: '16 to 19 months old'
      M18T19: '18 to 19 months old'
      M18T23: '18 to 23 months old'
      M1T59: '1 to 59 months old'
      M20T21: '20 to 21 months old'
      M20T23: '20 to 23 months old'
      M22T23: '22 to 23 months old'
      M24T25: '24 to 25 months old'
      M24T29: '24 to 29 months old'
      M24T35: '24 to 35 months old'
      M24T59: '24 to 59 months old'
      M26T27: '26 to 27 months old'
      M28T29: '28 to 29 months old'
      M2T3: '2 to 3 months old'
      M30T31: '30 to 31 months old'
      M30T35: '30 to 35 months old'
      M32T33: '32 to 33 months old'
      M34T35: '34 to 35 months old'
      M36T37: '36 to 37 months old'
      M36T41: '36 to 41 months old'
      M36T47: '36 to 47 months old'
      M36T59: '36 to 59 months old'
      M38T39: '38 to 39 months old'
      M40T41: '40 to 41 months old'
      M42T43: '42 to 43 months old'
      M42T47: '42 to 47 months old'
      M44T45: '44 to 45 months old'
      M46T47: '46 to 47 months old'
      M48T49: '48 to 49 months old'
      M48T53: '48 to 53 months old'
      M48T59: '48 to 59 months old'
      M4T5: '4 to 5 months old'
      M50T51: '50 to 51 months old'
      M52T53: '52 to 53 months old'
      M54T55: '54 to 55 months old'
      M54T59: '54 to 59 months old'
      M56T57: '56 to 57 months old'
      M58T59: '58 to 59 months old'
      M6T11: '6 to 11 months old'
      M6T23: '6 to 23 months old'
      M6T59: '6 to 59 months old'
      M6T7: '6 to 7 months old'
      M6T8: '6 to 8 months old'
      M8T9: '8 to 9 months old'
      M9T11: '9 to 11 months old'
      NEONATAL: 'Neonatal'
      OLD_ADLT: 'Older adults'
      OVER_AGE: 'Over age'
      POST_NEONATAL: 'Post-neonatal'
      PRY_SCHOOL_AGE: 'Primary school age'
      SCHOOL_AGE: 'School age'
      SCHOOL_ENTRY_AGE: 'Official school entrance age'
      TH_ENTRY_GLAST: 'Official entrance age to the last grade'
      UNDER1_SCHOOL_ENTRY: 'One year younger than official school entrance age'
      UNDER_AGE: 'Under age'
      USRY_SCHOOL_AGE: 'Upper secondary school age'
      Y0: 'Under 1 year old'
      Y01: '1 year old'
      Y02: '2 years old'
      Y03: '3 years old'
      Y04: '4 years old'
      Y05: '5 years old'
      Y06: '6 years old'
      Y07: '7 years old'
      Y08: '8 years old'
      Y09: '9 years old'
      Y0T11: 'Under 11 years old'
      Y0T13: 'Under 14 years old'
      Y0T14: 'Under 15 years old'
      Y0T15: 'Under 16 years old'
      Y0T16: 'Under 17 years old'
      Y0T17: 'Under 18 years old'
      Y0T18: 'Under 19 years old'
      Y0T19: 'Under 20 years old'
      Y0T2: 'Under 3 years old'
      Y0T20: 'Under 21 years old'
      Y0T21: 'Under 22 years old'
      Y0T24: 'Under 25 years old'
      Y0T3: 'Under 4 years old'
      Y0T4: 'Under 5 years old'
      Y0T5: 'Under 6 years old'
      Y0T59: 'Under 60 years old'
      Y0T6: 'Under 7 years old'
      Y0T64: 'Under 65 years old'
      Y0T7: 'Under 8 years old'
      Y0T74: 'Under 75 years old'
      Y0T9: 'Under 10 years old'
      Y10: '10 years old'
      Y100: '100 years old'
      Y10T11: '10 to 11 years old'
      Y10T12: '10 to 12 years old'
      Y10T13: '10 to 13 years old'
      Y10T14: '10 to 14 years old'
      Y10T15: '10 to 15 years old'
      Y10T16: '10 to 16 years old'
      Y10T17: '10 to 17 years old'
      Y10T18: '10 to 18 years old'
      Y10T19: '10 to 19 years old'
      Y10T21: '10 to 21 years old'
      Y10T24: '10 to 24 years old'
      Y10T74: '10 to 74 years old'
      Y11: '11 years old'
      Y11T12: '11 to 12 years old'
      Y11T13: '11 to 13 years old'
      Y11T15: '11 to 15 years old'
      Y11T16: '11 to 16 years old'
      Y11T17: '11 to 17 years old'
      Y12: '12 years old'
      Y12T14: '12 to 14 years old'
      Y12T15: '12 to 15 years old'
      Y12T17: '12 to 17 years old'
      Y12T18: '12 to 18 years old'
      Y12T20: '12 to 20 years old'
      Y12T21: '12 to 21 years old'
      Y12T23: '12 to 23 years old'
      Y12T24: '12 to 24 years old'
      Y12T26: '12 to 26 years old'
      Y12T30: '12 to 30 years old'
      Y13: '13 years old'
      Y13T14: '13 to 14 years old'
      Y13T15: '13 to 15 years'
      Y13T16: '13 to 16 years old'
      Y13T17: '13 to 17 years old'
      Y13T18: '13 to 18 years old'
      Y13T19: '13 to 19 years old'
      Y13T24: '13 to 24 years old'
      Y14: '14 years old'
      Y14T15: '14 to 15 years old'
      Y14T17: '14 to 17 years old'
      Y14T18: '14 to 18 years old'
      Y14T20: '14 to 20 years old'
      Y14T21: '14 to 21 years old'
      Y14T24: '14 to 24 years old'
      Y14T28: '14 to 28 years old'
      Y14T29: '14 to 29 years old'
      Y15: '15 years old'
      Y15T16: '15 to 16 years old'
      Y15T17: '15 to 17 years old'
      Y15T18: '15 to 18 years old'
      Y15T19: '15 to 19 years old'
      Y15T20: '15 to 20 years old'
      Y15T21: '15 to 21 years old'
      Y15T22: '15 to 22 years old'
      Y15T23: '15 to 23 years old'
      Y15T24: '15 to 24 years old'
      Y15T25: '15 to 25 years old'
      Y15T26: '15 to 26 years old'
      Y15T27: '15 to 27 years old'
      Y15T29: '15 to 29 years old'
      Y15T34: '15 to 34 years old'
      Y15T43: '15 to 43 years old'
      Y15T44: '15 to 44 years old'
      Y15T48: '15 to 48 years old'
      Y15T49: '15 to 49 years old'
      Y15T50: '15 to 50 years old'
      Y15T54: '15 to 54 years old'
      Y15T59: '15 to 59 years old'
      Y15T60: '15 to 60 years old'
      Y15T63: '15 to 63 years old'
      Y15T64: '15 to 64 years old'
      Y15T65: '15 to 65 years old'
      Y15T70: '15 to 70 years old'
      Y15T72: '15 to 72 years old'
      Y15T74: '15 to 74 years old'
      Y15T80: '15 to 80 years old'
      Y15T84: '15 to 84 years old'
      Y16: '16 years old'
      Y16T17: '16 to 17 years old'
      Y16T18: '16 to 18 years old'
      Y16T19: '16 to 19 years old'
      Y16T20: '16 to 20 years old'
      Y16T24: '16 to 24 years old'
      Y16T25: '16 to 25 years old'
      Y16T29: '16 to 29 years old'
      Y16T44: '16 to 44 years old'
      Y16T64: '16 to 64 years old'
      Y16T65: '16 to 65 years old'
      Y16T74: '16 to 74 years old'
      Y17: '17 years old'
      Y17T19: '17 to 19 years old'
      Y18: '18 years old'
      Y18T19: '18 to 19 years old'
      Y18T23: '18 to 23 years old'
      Y18T24: '18 to 24 years old'
      Y18T27: '18 to 27 years old'
      Y18T28: '18 to 28 years old'
      Y18T29: '18 to 29 years old'
      Y18T34: '18 to 34 years old'
      Y18T35: '18 to 35 years old'
      Y18T44: '18 to 44 years old'
      Y18T48: '18 to 48 years old'
      Y18T49: '18 to 49 years old'
      Y18T59: '18 to 59 years old'
      Y18T64: '18 to 64 years old'
      Y18T73: '18 to 73 years old'
      Y18T74: '18 to 74 years old'
      Y19: '19 years old'
      Y19T24: '19 to 24 years old'
      Y19T65: '19 to 65 years old'
      Y1T13: '1 to 13 years old'
      Y1T14: '1 to 14 years old'
      Y1T15: '1 to 15 years old'
      Y1T17: '1 to 17 years old'
      Y1T2: '1 to 2 years old'
      Y1T4: '1 to 4 years old'
      Y1T5: '1 to 5 years old'
      Y20: '20 years old'
      Y20T23: '20 to 23 years old'
      Y20T24: '20 to 24 years old'
      Y20T25: '20 to 25 years old'
      Y20T28: '20 to 28 years old'
      Y20T29: '20 to 29 years old'
      Y20T30: '20 to 30 years old'
      Y20T34: '20 to 34 years old'
      Y20T49: '20 to 49 years old'
      Y20T64: '20 to 64 years old'
      Y20T74: '20 to 74 years old'
      Y21: '21 years old'
      Y22: '22 years old'
      Y22T24: '22 to 24 years old'
      Y23: '23 years old'
      Y24: '24 years old'
      Y24T29: '24 to 29 years old'
      Y25: '25 years old'
      Y25T28: '25 to 28 years old'
      Y25T29: '25 to 29 years old'
      Y25T30: '25 to 30 years old'
      Y25T33: '25 to 33 years old'
      Y25T34: '25 to 34 years old'
      Y25T39: '25 to 39 years old'
      Y25T44: '25 to 44 years old'
      Y25T49: '25 to 49 years old'
      Y25T54: '25 to 54 years old'
      Y25T64: '25 to 64 years old'
      Y25T74: '25 to 74 years old'
      Y25T99: '25 to 99 years old'
      Y26: '26 years old'
      Y27: '27 years old'
      Y28: '28 years old'
      Y29: '29 years old'
      Y2T14: '2 to 14 years old'
      Y2T17: '2 to 17 years old'
      Y2T4: '2 to 4 years old'
      Y30: '30 years old'
      Y30T33: '30 to 33 years old'
      Y30T34: '30 to 34 years old'
      Y30T35: '30 to 35 years old'
      Y30T38: '30 to 38 years old'
      Y30T39: '30 to 39 years old'
      Y30T44: '30 to 44 years old'
      Y30T49: '30 to 49 years old'
      Y30T69: '30 to 69 years old'
      Y30T70: '30 to 70 years old'
      Y31: '31 years old'
      Y32: '32 years old'
      Y33: '33 years old'
      Y34: '34 years old'
      Y35: '35 years old'
      Y35T38: '35 to 38 years old'
      Y35T39: '35 to 39 years old'
      Y35T40: '35 to 40 years old'
      Y35T43: '35 to 43 years old'
      Y35T44: '35 to 44 years old'
      Y35T49: '35 to 49 years old'
      Y35T64: '35 to 64 years old'
      Y36: '36 years old'
      Y37: '37 years old'
      Y38: '38 years old'
      Y39: '39 years old'
      Y3T14: '3 to 14 years old'
      Y3T17: '3 to 17 years old'
      Y3T4: '3 to 4 years old'
      Y3T5: '3 to 5 years old'
      Y3T6: '3 to 6 years old'
      Y3T7: '3 to 7 years old'
      Y40: '40 years old'
      Y40T43: '40 to 43 years old'
      Y40T44: '40 to 44 years old'
      Y40T45: '40 to 45 years old'
      Y40T49: '40 to 49 years old'
      Y40T59: '40 to 59 years old'
      Y41: '41 years old'
      Y42: '42 years old'
      Y43: '43 years old'
      Y44: '44 years old'
      Y45: '45 years old'
      Y45T48: '45 to 48 years old'
      Y45T49: '45 to 49 years old'
      Y45T50: '45 to 50 years old'
      Y45T54: '45 to 54 years old'
      Y45T58: '45 to 58 years old'
      Y45T59: '45 to 59 years old'
      Y45T64: '45 to 64 years old'
      Y46: '46 years old'
      Y47: '47 years old'
      Y48: '48 years old'
      Y49: '49 years old'
      Y4T5: '4 to 5 years old'
      Y4T6: '4 to 6 years old'
      Y4T9: '4 to 9 years old'
      Y50: '50 years old'
      Y50T54: '50 to 54 years old'
      Y50T55: '50 to 55 years old'
      Y50T59: '50 to 59 years old'
      Y50T64: '50 to 64 years old'
      Y50T69: '50 to 69 years old'
      Y51: '51 years old'
      Y52: '52 years old'
      Y53: '53 years old'
      Y54: '54 years old'
      Y55: '55 years old'
      Y55T59: '55 to 59 years old'
      Y55T60: '55 to 60 years old'
      Y55T64: '55 to 64 years old'
      Y56: '56 years old'
      Y57: '57 years old'
      Y58: '58 years old'
      Y59: '59 years old'
      Y5T10: '5 to 10 years old'
      Y5T12: '5 to 12 years old'
      Y5T13: '5 to 13 years old'
      Y5T14: '5 to 14 years old'
      Y5T16: '5 to 16 years old'
      Y5T17: '5 to 17 years old'
      Y5T18: '5 to 18 years old'
      Y5T19: '5 to 19 years old'
      Y5T8: '5 to 8 years old'
      Y5T9: '5 to 9 years old'
      Y60: '60 years old'
      Y60T64: '60 to 64 years old'
      Y60T65: '60 to 65 years old'
      Y60T69: '60 to 69 years old'
      Y61: '61 years old'
      Y62: '62 years old'
      Y63: '63 years old'
      Y64: '64 years old'
      Y65: '65 years old'
      Y65T69: '65 to 69 years old'
      Y65T70: '65 to 70 years old'
      Y65T74: '65 to 74 years old'
      Y66: '66 years old'
      Y67: '67 years old'
      Y68: '68 years old'
      Y69: '69 years old'
      Y6T10: '6 to 10 years old'
      Y6T11: '6 to 11 years old'
      Y6T14: '6 to 14 years old'
      Y6T16: '6 to 16 years old'
      Y6T17: '6 to 17 years old'
      Y6T18: '6 to 18 years old'
      Y70: '70 years old'
      Y70T74: '70 to 74 years old'
      Y70T75: '70 to 75 years old'
      Y70T79: '70 to 79 years old'
      Y71: '71 years old'
      Y72: '72 years old'
      Y73: '73 years old'
      Y74: '74 years old'
      Y75: '75 years old'
      Y75T79: '75 to 79 years old'
      Y75T80: '75 to 80 years old'
      Y75T84: '75 to 84 years old'
      Y76: '76 years old'
      Y77: '77 years old'
      Y78: '78 years old'
      Y79: '79 years old'
      Y7T14: '7 to 14 years old'
      Y7T16: '7 to 16 years old'
      Y7T17: '7 to 17 years old'
      Y7T9: '7 to 9 years old'
      Y80: '80 years old'
      Y80T84: '80 to 84 years old'
      Y80T85: '80 to 85 years old'
      Y80T89: '80 to 89 years old'
      Y81: '81 years old'
      Y82: '82 years old'
      Y83: '83 years old'
      Y84: '84 years old'
      Y85: '85 years old'
      Y85T89: '85 to 89 years old'
      Y85T90: '85 to 90 years old'
      Y86: '86 years old'
      Y87: '87 years old'
      Y88: '88 years old'
      Y89: '89 years old'
      Y8T17: '8 to 17 years'
      Y90: '90 years old'
      Y90T94: '90 to 94 years old'
      Y90T95: '90 to 95 years old'
      Y90T99: '90 to 99 years old'
      Y91: '91 years old'
      Y92: '92 years old'
      Y93: '93 years old'
      Y94: '94 years old'
      Y95: '95 years old'
      Y95T99: '95 to 99 years old'
      Y96: '96 years old'
      Y97: '97 years old'
      Y98: '98 years old'
      Y99: '99 years old'
      Y9T17: '9 to 17 years old'
      Y9T19: '9 to 19 years old'
      Y9T79: '9 to 79 years old'
      YNG_ADLT: 'Younger adults'
      Y_GE10: '10 years old and over'
      Y_GE100: '100 years old and over'
      Y_GE12: '12 years old and over'
      Y_GE14: '14 years old and over'
      Y_GE15: '15 years old and over'
      Y_GE16: '16 years old and over'
      Y_GE18: '18 years old and over'
      Y_GE20: '20 years old and over'
      Y_GE25: '25 years old and over'
      Y_GE3: '3 years old and over'
      Y_GE5: '5 years old and over'
      Y_GE50: '50 years and over'
      Y_GE55: '55 years old and over'
      Y_GE6: '6 years old and over'
      Y_GE60: '60 years old and over'
      Y_GE65: '65 years old and over'
      Y_GE7: '7 years old and over'
      Y_GE70: '70 years old and over'
      Y_GE75: '75 years old and over'
      Y_GE80: '80 years old and over'
      Y_GE85: '85 years old and over'
      Y_GE90: '90 years old and over'
      Y_GE95: '95 years old and over'
      _T: 'Total'
      _U: 'Unknown'
  CL_WEALTH_QUINTILE:
    id: CL_WEALTH_QUINTILE
    agency: UNICEF
    version: latest
    codes:
      Q1: 'Lowest'
      Q2: 'Second'
      Q3: 'Middle'
      Q4: 'Fourth'
      Q5: 'Highest'
      B20: 'Bottom 20%'
      B40: 'Bottom 40%'
      B60: 'Bottom 60%'
      B80: 'Bottom 80%'
      M40: 'Middle 40%'
      M60: 'Middle 60%'
      R20: 'Richest 20%'
      R40: 'Richest 40%'
      R60: 'Richest 60%'
      R80: 'Richest 80%'
      _T: 'Total'
  CL_RESIDENCE:
    id: CL_RESIDENCE
    agency: UNICEF
    version: latest
    codes:
      _T: 'Total'
      U: 'Urban area'
      R: 'Rural area'
      CITY: 'City'
      TSUB: 'Town and semi-dense area'
      DTOW: 'Dense town'
      STOW: 'Semi-dense town'
      SUBU: 'Suburban or peri-urban area'
      VILL: 'Village'
      DISP: 'Dispersed rural area'
      UNIN: 'Mostly uninhabited area'
  CL_UNIT_MEASURE:
    id: CL_UNIT_MEASURE
    agency: UNICEF
    version: latest
    codes:
      BINARY: 'Binary'
      BIRTHS: 'Births'
      BIRTHSPER1000WOMEN: 'Births per 1000 women'
      BIRTHS_1000: '1000 Births'
      D: 'Number of deaths'
      DPIA: 'Adjusted disability parity index'
      D_PER_1000_1: 'Deaths per 1,000 children aged 1'
      D_PER_1000_10: 'Deaths per 1,000 children aged 10'
      D_PER_1000_15: 'Deaths per 1,000 youths aged 15'
      D_PER_1000_20: 'Deaths per 1,000 youths aged 20'
      D_PER_1000_5: 'Deaths per 1,000 children aged 5'
      D_PER_1000_B: 'Deaths per 1,000 live births'
      EUR: 'Euro'
      GDP_CAP: 'As % of GDP per capita'
      GDP_PERC: '% of GDP'
      GOV_EXP_EDU: '% of government expenditure on education'
      GOV_EXP_HT: 'Percentage of government expenditure on health'
      GOV_EXP_T: '% of total government expenditure'
      GPERM3: 'Micrograms per cubic meter'
      GPI: 'Gender Parity Index'
      GPIA: 'Adjusted gender parity index'
      HRS_WK: 'Hours Worked'
      IDX: 'Index'
      LIVEBIRTHSPERWOMAN: 'Live births per woman'
      LPI: 'Location Parity Index'
      LPIA: 'Adjusted location parity index'
      LTPIA: 'Adjusted speaks language of the test parity index'
      NPIA: 'Adjusted native parity index'
      NUMBER: 'Number'
      NUMBER_1000: '1000'
      PARITY_IDX: 'Parity Index'
      PCNT: '%'
      PER100: 'Per 100'
      PER1000: 'Per 1000'
      PER100000: 'Per 100000'
      PER1000LIVEBIRTHS: 'Per 1000 live births'
      PER1000POP: 'Per 1000 population'
      PER100KLIVEBIRTHS: 'Per 100,000 live births'
      PER1USD_GNI_CAP: 'per 1 USD GNI per capita'
      PER_100: 'Per 100'
      PER_1000_UNINFECTED_POP: 'Per 1000 uninfected population'
      PER_POP_U5: 'Per population under 5'
      PPP_CONST: 'Constant PPP$ (Purchasing Power Parity)'
      PPP_CUR: 'Current PPP$ (Purchasing Power Parity)'
      PPY: 'Annual % point change per year'
      PROB: 'Probability'
      PS: 'Persons'
      RATE_100: 'Rate per 100 of Population'
      RATE_1000: 'Rate per 1,000 of Population'
      RATE_100000: 'Rate per 100,000 of Population'
      RATE_1M: 'Rate per 1,000,000 of Population'
      RATIO: 'Ratio'
      SB_PER_1000_B: 'Stillbirths per 1,000 total births'
      SCORE: 'Learning Outcomes Score'
      STILLBIRTHS: 'Number of stillbirths'
      USD: 'USD'
      USD_CONST: 'Constant US$'
      USD_CUR: 'Current US$'
      WPI: 'Wealth Parity Index'
      WPIA: 'Adjusted wealth parity index'
      YR: 'Years'
      D_PER_1000: 'Deaths per 1,000'
      RANK: 'Rank'
      D_PER_100000: 'Deaths per 100,000 population'
      LOCAL_CUR: 'Local currency'
      HRS_PER_WEEK: 'Hours per week'
      MEAN_SCORE: 'Mean score'
      YES_NO: 'Yes/No'
      PPS: 'Purchasing Power Standard'
      D_PER_1000_1M: 'Deaths per 1,000 children aged 1 month'
      KG_PER_CAPITA: 'Kg per capita'
      PM_2_5: 'PM2.5'
      PPP_CURRENT_INTERNATIONAL_USD: 'PPP current international $'
      TCO2E_PER_CAPITA: 'CO2 per capita (tons)'
      DAYS: 'Days'
      TCO2E: 'Mt CO2 equivalent'
      GPI_DIST: 'Gender Parity Index Distance'
      RATE: 'Rate'
      D_PER_100000_BIRTHS: 'Deaths per 100000 births'
      1_IN_X: '1 in X'
  CL_OBS_STATUS:
    id: CL_OBS_STATUS
    agency: UNICEF
    version: latest
    codes:
      A: 'Normal value'
      B: 'Time series break'
      D: 'Definition differs'
      E: 'Estimated value'
      F: 'Forecast value'
      G: 'Experimental value'
      H: 'Missing value; holiday or weekend'
      I: 'Imputed value (CCSA definition)'
      J: 'Derogation'
      K: 'Data included in another category'
      L: 'Missing value; data exist but were not collected'
      M: 'Missing value; data cannot exist'
      N: 'Not significant'
      O: 'Missing value'
      P: 'Provisional value'
      Q: 'Missing value; suppressed'
      S: 'Strike and other special events'
      U: 'Low reliability'
      V: 'Unvalidated value'
      W: 'Includes data from another category'
      RA: 'Reanalysed'
      RP: 'Reported'
      AD: 'Adjusted'
      MD: 'Modelled'
      ER: 'External Reanalysis'
      LT: 'Observation value is less than'
      PR: 'Projection'
      BE: 'Time series break; estimated value'
      BU: 'Time series break; low reliability'
      PU: 'Provisional value; low reliability'
      PA: 'Partial value'
      DP: 'Definition differs; provisional value'
      DE: 'Definition differs; estimated value'
      BP: 'Time series break; provisional value'
      EP: 'Estimated value; provisional value'
      EXCL: 'Excluded'
      BEP: 'Time series break; estimated value; provisional value'
      PRED: 'Predicted'
