Datasets:
indicator_code stringclasses 1
value | country_iso3 stringclasses 45
values | who_region stringclasses 4
values | year int64 1.99k 2.02k | dim1_type stringclasses 8
values | dim1 stringclasses 63
values | dim2_type stringclasses 1
value | dim2 stringclasses 22
values | value_numeric float64 0 83.7 | value_low float64 0 74.3 β | value_high float64 0 92.1 β | value_display stringlengths 3 16 | last_updated stringclasses 1
value |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
NUTRITION_ANT_HAZ_NE2 | TKM | EUR | 2,006 | AGEGROUP | AGEGROUP_MONTHS36-41 | null | null | 20.9 | 15.5 | 27.5 | 20.9 [15.5-27.5] | 2025-05-09T07:08:11.777+02:00 |
NUTRITION_ANT_HAZ_NE2 | IRN | EMR | 2,017 | WEALTHQUINTILE | WEALTHQUINTILE_TOTL | null | null | 4.8 | null | null | 4.8 | 2025-05-09T07:08:11.777+02:00 |
NUTRITION_ANT_HAZ_NE2 | BTN | SEAR | 2,008 | AGEGROUP | AGEGROUP_MONTHS24-29 | null | null | 35.8 | 30.7 | 41.3 | 35.8 [30.7-41.3] | 2025-05-09T07:08:11.777+02:00 |
NUTRITION_ANT_HAZ_NE2 | JOR | EMR | 2,023 | WEALTHQUINTILE | WEALTHQUINTILE_WQ1 | null | null | 11.8 | 9.5 | 14.6 | 11.8 [9.5-14.6] | 2025-05-09T07:08:11.777+02:00 |
NUTRITION_ANT_HAZ_NE2 | IRQ | EMR | 2,000 | SEX | SEX_MLE | AGEGROUP | AGEGROUP_MONTHS0-11 | 17.8 | 15.7 | 20.2 | 17.8 [15.7-20.2] | 2025-05-09T07:08:11.777+02:00 |
NUTRITION_ANT_HAZ_NE2 | LAO | WPR | 2,017 | SEX | SEX_FMLE | AGEGROUP | AGEGROUP_MONTHS48-53 | 34.1 | 29.9 | 38.6 | 34.1 [29.9-38.6] | 2025-05-09T07:08:11.777+02:00 |
NUTRITION_ANT_HAZ_NE2 | TJK | EUR | 2,001 | SEX | SEX_BTSX | null | null | 43.2 | null | null | 43.2 | 2025-05-09T07:08:11.777+02:00 |
NUTRITION_ANT_HAZ_NE2 | AZE | EUR | 2,006 | SEX | SEX_FMLE | AGEGROUP | AGEGROUP_MONTHS36-59 | 32.1 | 25.9 | 39 | 32.1 [25.9-39.0] | 2025-05-09T07:08:11.777+02:00 |
NUTRITION_ANT_HAZ_NE2 | THA | SEAR | 2,012 | SEX | SEX_MLE | AGEGROUP | AGEGROUP_MONTHS0-11 | 19.4 | 14.8 | 25 | 19.4 [14.8-25.0] | 2025-05-09T07:08:11.777+02:00 |
NUTRITION_ANT_HAZ_NE2 | VNM | WPR | 2,007 | AGEGROUP | AGEGROUP_MONTHS0-11 | null | null | 18.9 | 18.2 | 19.8 | 18.9 [18.2-19.8] | 2025-05-09T07:08:11.777+02:00 |
NUTRITION_ANT_HAZ_NE2 | IND | SEAR | 2,006 | SEX | SEX_FMLE | AGEGROUP | AGEGROUP_MONTHS6-23 | 44 | 42.3 | 45.8 | 44.0 [42.3-45.8] | 2025-05-09T07:08:11.777+02:00 |
NUTRITION_ANT_HAZ_NE2 | JPN | WPR | 1,990 | HOUSEHOLDWEALTH | HOUSEHOLDWEALTH_TOTL | null | null | 5 | 4.6 | 5.4 | 5.0 [4.6-5.4] | 2025-05-09T07:08:11.777+02:00 |
NUTRITION_ANT_HAZ_NE2 | PSE | EMR | 1,996 | SEX | SEX_MLE | AGEGROUP | AGEGROUP_MONTHS30-35 | 11.5 | 7.9 | 16.5 | 11.5 [7.9-16.5] | 2025-05-09T07:08:11.777+02:00 |
NUTRITION_ANT_HAZ_NE2 | TJK | EUR | 2,017 | AGEGROUP | AGEGROUP_MONTHS48-53 | null | null | 21 | 17.6 | 24.9 | 21.0 [17.6-24.9] | 2025-05-09T07:08:11.777+02:00 |
NUTRITION_ANT_HAZ_NE2 | JOR | EMR | 2,002 | AGEGROUP | AGEGROUP_MONTHS24-59 | null | null | 12.1 | 10.7 | 13.6 | 12.1 [10.7-13.6] | 2025-05-09T07:08:11.777+02:00 |
NUTRITION_ANT_HAZ_NE2 | SGP | WPR | 2,000 | AGEGROUP | AGEGROUP_MONTHS18-23 | null | null | 5 | 4 | 6.2 | 5.0 [4.0-6.2] | 2025-05-09T07:08:11.777+02:00 |
NUTRITION_ANT_HAZ_NE2 | KAZ | EUR | 2,015 | SEX | SEX_FMLE | AGEGROUP | AGEGROUP_MONTHS0-23 | 6.7 | 4.9 | 9.2 | 6.7 [4.9-9.2] | 2025-05-09T07:08:11.777+02:00 |
NUTRITION_ANT_HAZ_NE2 | KWT | EMR | 2,010 | RESIDENCEAREATYPE | RESIDENCEAREATYPE_TOTL | null | null | 4 | 3.5 | 4.7 | 4.0 [3.5-4.7] | 2025-05-09T07:08:11.777+02:00 |
NUTRITION_ANT_HAZ_NE2 | VNM | WPR | 2,004 | AGEGROUP | AGEGROUP_MONTHS36-47 | null | null | 41.8 | 40.8 | 42.9 | 41.8 [40.8-42.9] | 2025-05-09T07:08:11.777+02:00 |
NUTRITION_ANT_HAZ_NE2 | THA | SEAR | 2,012 | SEX | SEX_MLE | AGEGROUP | AGEGROUP_MONTHS6-23 | 19 | 15.4 | 23.3 | 19.0 [15.4-23.3] | 2025-05-09T07:08:11.777+02:00 |
NUTRITION_ANT_HAZ_NE2 | PHL | WPR | 2,015 | SEX | SEX_MLE | AGEGROUP | AGEGROUP_MONTHS36-47 | 36.5 | 34.2 | 38.9 | 36.5 [34.2-38.9] | 2025-05-09T07:08:11.777+02:00 |
NUTRITION_ANT_HAZ_NE2 | KWT | EMR | 2,023 | AGEGROUP | AGEGROUP_MONTHS48-53 | null | null | 0.6 | 0.1 | 4.3 | 0.6 [0.1-4.3] | 2025-05-09T07:08:11.777+02:00 |
NUTRITION_ANT_HAZ_NE2 | BGD | SEAR | 2,000 | SEX | SEX_MLE | AGEGROUP | AGEGROUP_MONTHS6-11 | 36.9 | 30.4 | 44 | 36.9 [30.4-44.0] | 2025-05-09T07:08:11.777+02:00 |
NUTRITION_ANT_HAZ_NE2 | SYR | EMR | 2,006 | SEX | SEX_FMLE | AGEGROUP | AGEGROUP_MONTHS12-23 | 31.1 | 27.8 | 34.5 | 31.1 [27.8-34.5] | 2025-05-09T07:08:11.777+02:00 |
NUTRITION_ANT_HAZ_NE2 | VNM | WPR | 1,993 | SEX | SEX_MLE | AGEGROUP | AGEGROUP_MONTHS24-35 | 73.1 | 67.7 | 78 | 73.1 [67.7-78.0] | 2025-05-09T07:08:11.777+02:00 |
NUTRITION_ANT_HAZ_NE2 | KHM | WPR | 2,010 | SEX | SEX_MLE | null | null | 41.5 | 38.7 | 44.3 | 41.5 [38.7-44.3] | 2025-05-09T07:08:11.777+02:00 |
NUTRITION_ANT_HAZ_NE2 | PHL | WPR | 2,011 | SEX | SEX_FMLE | AGEGROUP | AGEGROUP_MONTHS36-41 | 39.2 | 35.7 | 42.8 | 39.2 [35.7-42.8] | 2025-05-09T07:08:11.777+02:00 |
NUTRITION_ANT_HAZ_NE2 | TJK | EUR | 2,003 | RESIDENCEAREATYPE | RESIDENCEAREATYPE_TOTL | null | null | 42.4 | null | null | 42.4 | 2025-05-09T07:08:11.777+02:00 |
NUTRITION_ANT_HAZ_NE2 | SGP | WPR | 2,000 | SEX | SEX_MLE | AGEGROUP | AGEGROUP_MONTHS6-11 | 3.8 | 3 | 4.9 | 3.8 [3.0-4.9] | 2025-05-09T07:08:11.777+02:00 |
NUTRITION_ANT_HAZ_NE2 | VNM | WPR | 2,000 | null | null | null | null | 42.9 | 38.6 | 47.3 | 42.9 [38.6-47.3] | 2025-05-09T07:08:11.777+02:00 |
NUTRITION_ANT_HAZ_NE2 | SYR | EMR | 2,010 | AGEGROUP | AGEGROUP_MONTHS6-23 | null | null | 33 | 31 | 34.9 | 33.0 [31.0-34.9] | 2025-05-09T07:08:11.777+02:00 |
NUTRITION_ANT_HAZ_NE2 | KWT | EMR | 2,005 | EDUCATIONLEVEL | EDUCATIONLEVEL_TOTL | null | null | 4.5 | 4 | 5.1 | 4.5 [4.0-5.1] | 2025-05-09T07:08:11.777+02:00 |
NUTRITION_ANT_HAZ_NE2 | LAO | WPR | 2,023 | AGEGROUP | AGEGROUP_MONTHS18-23 | null | null | 40.3 | null | null | 40.3 | 2025-05-09T07:08:11.777+02:00 |
NUTRITION_ANT_HAZ_NE2 | KWT | EMR | 2,017 | SEX | SEX_MLE | AGEGROUP | AGEGROUP_MONTHS24-29 | 2.7 | 1.1 | 6.4 | 2.7 [1.1-6.4] | 2025-05-09T07:08:11.777+02:00 |
NUTRITION_ANT_HAZ_NE2 | MNG | WPR | 2,016 | AGEGROUP | AGEGROUP_MONTHS54-59 | null | null | 5 | 2.4 | 9.9 | 5.0 [2.4-9.9] | 2025-05-09T07:08:11.777+02:00 |
NUTRITION_ANT_HAZ_NE2 | BGD | SEAR | 2,012 | RESIDENCEAREATYPE | RESIDENCEAREATYPE_TOTL | null | null | 37 | null | null | 37.0 | 2025-05-09T07:08:11.777+02:00 |
NUTRITION_ANT_HAZ_NE2 | THA | SEAR | 2,012 | HOUSEHOLDWEALTH | HOUSEHOLDWEALTH_WEALTH_TOP60 | null | null | 12.8 | 11.3 | 14.3 | 12.8 [11.3-14.3] | 2025-05-09T07:08:11.777+02:00 |
NUTRITION_ANT_HAZ_NE2 | KAZ | EUR | 1,995 | AGEGROUP | AGEGROUP_MONTHS12-17 | null | null | 25.1 | 16.1 | 36.9 | 25.1 [16.1-36.9] | 2025-05-09T07:08:11.777+02:00 |
NUTRITION_ANT_HAZ_NE2 | KHM | WPR | 2,021 | SEX | SEX_FMLE | AGEGROUP | AGEGROUP_MONTHS6-59 | 20.2 | 18 | 22.6 | 20.2 [18.0-22.6] | 2025-05-09T07:08:11.777+02:00 |
NUTRITION_ANT_HAZ_NE2 | VNM | WPR | 1,993 | AGEGROUP | AGEGROUP_MONTHS48-53 | null | null | 65 | 59.5 | 70 | 65.0 [59.5-70.0] | 2025-05-09T07:08:11.777+02:00 |
NUTRITION_ANT_HAZ_NE2 | AFG | EMR | 2,013 | AGEGROUP | AGEGROUP_MONTHS36-47 | null | null | 47.1 | 44.7 | 49.6 | 47.1 [44.7-49.6] | 2025-05-09T07:08:11.777+02:00 |
NUTRITION_ANT_HAZ_NE2 | PSE | EMR | 1,996 | EDUCATIONLEVEL | EDUCATIONLEVEL_TOTL | null | null | 7.8 | 6.9 | 8.7 | 7.8 [6.9-8.7] | 2025-05-09T07:08:11.777+02:00 |
NUTRITION_ANT_HAZ_NE2 | TUR | EUR | 2,004 | AGEGROUP | AGEGROUP_MONTHS42-47 | null | null | 21.6 | 17.5 | 26.5 | 21.6 [17.5-26.5] | 2025-05-09T07:08:11.777+02:00 |
NUTRITION_ANT_HAZ_NE2 | VNM | WPR | 1,999 | SEX | SEX_BTSX | null | null | 43.8 | 42.8 | 44.7 | 43.8 [42.8-44.7] | 2025-05-09T07:08:11.777+02:00 |
NUTRITION_ANT_HAZ_NE2 | THA | SEAR | 2,019 | WEALTHDECILE | WEALTHDECILE_WEALTHDECILE07 | null | null | 11.4 | 8 | 16.1 | 11.4 [8.0-16.1] | 2025-05-09T07:08:11.777+02:00 |
NUTRITION_ANT_HAZ_NE2 | KAZ | EUR | 1,999 | AGEGROUP | AGEGROUP_MONTHS54-59 | null | null | 11.2 | 4.5 | 25.4 | 11.2 [4.5-25.4] | 2025-05-09T07:08:11.777+02:00 |
NUTRITION_ANT_HAZ_NE2 | THA | SEAR | 2,022 | SEX | SEX_MLE | AGEGROUP | AGEGROUP_MONTHS6-59 | 12.4 | 10.7 | 14.4 | 12.4 [10.7-14.4] | 2025-05-09T07:08:11.777+02:00 |
NUTRITION_ANT_HAZ_NE2 | PSE | EMR | 2,000 | SEX | SEX_MLE | AGEGROUP | AGEGROUP_MONTHS36-47 | 10.1 | 7.7 | 13 | 10.1 [7.7-13.0] | 2025-05-09T07:08:11.777+02:00 |
NUTRITION_ANT_HAZ_NE2 | LBN | EMR | 2,021 | SEX | SEX_MLE | AGEGROUP | AGEGROUP_MONTHS30-35 | 10 | 5.8 | 16.9 | 10.0 [5.8-16.9] | 2025-05-09T07:08:11.777+02:00 |
NUTRITION_ANT_HAZ_NE2 | THA | SEAR | 2,006 | SEX | SEX_BTSX | null | null | 15.7 | 14.3 | 17.2 | 15.7 [14.3-17.2] | 2025-05-09T07:08:11.777+02:00 |
NUTRITION_ANT_HAZ_NE2 | PSE | EMR | 2,000 | AGEGROUP | AGEGROUP_MONTHS48-53 | null | null | 9.5 | 7.3 | 12.3 | 9.5 [7.3-12.3] | 2025-05-09T07:08:11.777+02:00 |
NUTRITION_ANT_HAZ_NE2 | MNG | WPR | 2,010 | EDUCATIONLEVEL | EDUCATIONLEVEL_TOTL | null | null | 15.3 | 13.8 | 16.9 | 15.3 [13.8-16.9] | 2025-05-09T07:08:11.777+02:00 |
NUTRITION_ANT_HAZ_NE2 | THA | SEAR | 2,022 | SEX | SEX_FMLE | AGEGROUP | AGEGROUP_MONTHS24-35 | 10.2 | 8 | 12.8 | 10.2 [8.0-12.8] | 2025-05-09T07:08:11.777+02:00 |
NUTRITION_ANT_HAZ_NE2 | SYR | EMR | 2,010 | SEX | SEX_FMLE | AGEGROUP | AGEGROUP_MONTHS12-17 | 26.4 | 22.4 | 30.8 | 26.4 [22.4-30.8] | 2025-05-09T07:08:11.777+02:00 |
NUTRITION_ANT_HAZ_NE2 | NPL | SEAR | 2,006 | SEX | SEX_MLE | AGEGROUP | AGEGROUP_MONTHS0-11 | 19.8 | 15.2 | 25.4 | 19.8 [15.2-25.4] | 2025-05-09T07:08:11.777+02:00 |
NUTRITION_ANT_HAZ_NE2 | JOR | EMR | 2,009 | SEX | SEX_MLE | AGEGROUP | AGEGROUP_MONTHS36-59 | 6.1 | 4.4 | 8.5 | 6.1 [4.4-8.5] | 2025-05-09T07:08:11.777+02:00 |
NUTRITION_ANT_HAZ_NE2 | IDN | WPR | 2,018 | SEX | SEX_FMLE | AGEGROUP | AGEGROUP_MONTHS0-23 | 26.9 | 25.9 | 27.9 | 26.9 [25.9-27.9] | 2025-05-09T07:08:11.777+02:00 |
NUTRITION_ANT_HAZ_NE2 | KWT | EMR | 2,005 | SEX | SEX_FMLE | AGEGROUP | AGEGROUP_MONTHS36-59 | 3 | 2.1 | 4.3 | 3.0 [2.1-4.3] | 2025-05-09T07:08:11.777+02:00 |
NUTRITION_ANT_HAZ_NE2 | IDN | WPR | 2,001 | SEX | SEX_FMLE | AGEGROUP | AGEGROUP_MONTHS0-5 | 10.6 | 9.9 | 11.5 | 10.6 [9.9-11.5] | 2025-05-09T07:08:11.777+02:00 |
NUTRITION_ANT_HAZ_NE2 | IND | SEAR | 2,014 | null | null | null | null | 38.7 | null | null | 38.7 | 2025-05-09T07:08:11.777+02:00 |
NUTRITION_ANT_HAZ_NE2 | VNM | WPR | 2,000 | HOUSEHOLDWEALTH | HOUSEHOLDWEALTH_WEALTH_TOP40 | null | null | 28.9 | 25.7 | 32.3 | 28.9 [25.7-32.3] | 2025-05-09T07:08:11.777+02:00 |
NUTRITION_ANT_HAZ_NE2 | BGD | SEAR | 2,004 | SEX | SEX_FMLE | AGEGROUP | AGEGROUP_MONTHS24-35 | 61 | 56.9 | 64.9 | 61.0 [56.9-64.9] | 2025-05-09T07:08:11.777+02:00 |
NUTRITION_ANT_HAZ_NE2 | MYS | WPR | 2,016 | AGEGROUP | AGEGROUP_YEARSALL | null | null | 20.8 | 18.9 | 22.9 | 20.8 [18.9-22.9] | 2025-05-09T07:08:11.777+02:00 |
NUTRITION_ANT_HAZ_NE2 | THA | SEAR | 2,022 | HOUSEHOLDWEALTH | HOUSEHOLDWEALTH_WEALTH_BOTTOM40 | null | null | 13.5 | 11.5 | 15.7 | 13.5 [11.5-15.7] | 2025-05-09T07:08:11.777+02:00 |
NUTRITION_ANT_HAZ_NE2 | TKM | EUR | 2,000 | EDUCATIONLEVEL | EDUCATIONLEVEL_EDUC_NONE_PRIMARY | null | null | 28.2 | 11.4 | 54.4 | 28.2 [11.4-54.4] | 2025-05-09T07:08:11.777+02:00 |
NUTRITION_ANT_HAZ_NE2 | TKM | EUR | 2,015 | HOUSEHOLDWEALTH | HOUSEHOLDWEALTH_WEALTH_BOTTOM40 | null | null | 12.6 | 10.8 | 14.7 | 12.6 [10.8-14.7] | 2025-05-09T07:08:11.777+02:00 |
NUTRITION_ANT_HAZ_NE2 | KAZ | EUR | 2,015 | HOUSEHOLDWEALTH | HOUSEHOLDWEALTH_WEALTH_MIDDLE60 | null | null | 7.8 | 6.6 | 9.2 | 7.8 [6.6-9.2] | 2025-05-09T07:08:11.777+02:00 |
NUTRITION_ANT_HAZ_NE2 | KWT | EMR | 2,021 | AGEGROUP | AGEGROUP_MONTHS48-53 | null | null | 1.9 | 0.5 | 7.2 | 1.9 [0.5-7.2] | 2025-05-09T07:08:11.777+02:00 |
NUTRITION_ANT_HAZ_NE2 | PHL | WPR | 2,021 | AGEGROUP | AGEGROUP_MONTHS0-11 | null | null | 12.7 | 10 | 15.9 | 12.7 [10.0-15.9] | 2025-05-09T07:08:11.777+02:00 |
NUTRITION_ANT_HAZ_NE2 | LBN | EMR | 2,004 | AGEGROUP | AGEGROUP_MONTHS0-5 | null | null | 21.1 | null | null | 21.1 | 2025-05-09T07:08:11.777+02:00 |
NUTRITION_ANT_HAZ_NE2 | KWT | EMR | 2,018 | SEX | SEX_FMLE | AGEGROUP | AGEGROUP_MONTHS36-47 | 9.1 | 6.2 | 13.2 | 9.1 [6.2-13.2] | 2025-05-09T07:08:11.777+02:00 |
NUTRITION_ANT_HAZ_NE2 | UZB | EUR | 2,002 | AGEGROUP | AGEGROUP_MONTHS6-59 | null | null | 25.9 | 23.4 | 28.6 | 25.9 [23.4-28.6] | 2025-05-09T07:08:11.777+02:00 |
NUTRITION_ANT_HAZ_NE2 | VNM | WPR | 2,002 | SEX | SEX_MLE | AGEGROUP | AGEGROUP_MONTHS36-47 | 42.6 | 40.9 | 44.4 | 42.6 [40.9-44.4] | 2025-05-09T07:08:11.777+02:00 |
NUTRITION_ANT_HAZ_NE2 | MMR | SEAR | 2,016 | SEX | SEX_MLE | AGEGROUP | AGEGROUP_MONTHS12-23 | 29.7 | 24.6 | 35.2 | 29.7 [24.6-35.2] | 2025-05-09T07:08:11.777+02:00 |
NUTRITION_ANT_HAZ_NE2 | SYR | EMR | 2,006 | WEALTHDECILE | WEALTHDECILE_TOTL | null | null | 28.7 | 27.4 | 30.1 | 28.7 [27.4-30.1] | 2025-05-09T07:08:11.777+02:00 |
NUTRITION_ANT_HAZ_NE2 | KGZ | EUR | 2,018 | HOUSEHOLDWEALTH | HOUSEHOLDWEALTH_WEALTH_TOP80 | null | null | 11.1 | 9.4 | 13 | 11.1 [9.4-13.0] | 2025-05-09T07:08:11.777+02:00 |
NUTRITION_ANT_HAZ_NE2 | VNM | WPR | 2,002 | SEX | SEX_MLE | AGEGROUP | AGEGROUP_MONTHS6-59 | 40.5 | 39.4 | 41.5 | 40.5 [39.4-41.5] | 2025-05-09T07:08:11.777+02:00 |
NUTRITION_ANT_HAZ_NE2 | BGD | SEAR | 2,018 | WEALTHQUINTILE | WEALTHQUINTILE_WQ3 | null | null | 30.2 | 27.5 | 32.9 | 30.2 [27.5-32.9] | 2025-05-09T07:08:11.777+02:00 |
NUTRITION_ANT_HAZ_NE2 | KWT | EMR | 2,017 | SEX | SEX_MLE | AGEGROUP | AGEGROUP_MONTHS54-59 | 3.8 | 1 | 14.1 | 3.8 [1.0-14.1] | 2025-05-09T07:08:11.777+02:00 |
NUTRITION_ANT_HAZ_NE2 | TUR | EUR | 2,008 | AGEGROUP | AGEGROUP_MONTHS0-11 | null | null | 6.9 | 4.7 | 10.1 | 6.9 [4.7-10.1] | 2025-05-09T07:08:11.777+02:00 |
NUTRITION_ANT_HAZ_NE2 | JOR | EMR | 2,019 | SEX | SEX_FMLE | AGEGROUP | AGEGROUP_MONTHS6-59 | 7.1 | 3.6 | 13.3 | 7.1 [3.6-13.3] | 2025-05-09T07:08:11.777+02:00 |
NUTRITION_ANT_HAZ_NE2 | KWT | EMR | 2,023 | SEX | SEX_MLE | AGEGROUP | AGEGROUP_MONTHS24-59 | 1.9 | 1 | 3.6 | 1.9 [1.0-3.6] | 2025-05-09T07:08:11.777+02:00 |
NUTRITION_ANT_HAZ_NE2 | MYS | WPR | 2,016 | SEX | SEX_FMLE | AGEGROUP | AGEGROUP_MONTHS48-53 | 16.6 | 11.6 | 23 | 16.6 [11.6-23.0] | 2025-05-09T07:08:11.777+02:00 |
NUTRITION_ANT_HAZ_NE2 | SYR | EMR | 1,993 | RESIDENCEAREATYPE | RESIDENCEAREATYPE_URB | null | null | 30.9 | 28.3 | 33.6 | 30.9 [28.3-33.6] | 2025-05-09T07:08:11.777+02:00 |
NUTRITION_ANT_HAZ_NE2 | CHN | WPR | 1,995 | RESIDENCEAREATYPE | RESIDENCEAREATYPE_RUR | null | null | 39.2 | null | null | 39.2 | 2025-05-09T07:08:11.777+02:00 |
NUTRITION_ANT_HAZ_NE2 | BGD | SEAR | 2,007 | SEX | SEX_FMLE | AGEGROUP | AGEGROUP_MONTHS6-59 | 45.3 | 42.6 | 48.1 | 45.3 [42.6-48.1] | 2025-05-09T07:08:11.777+02:00 |
NUTRITION_ANT_HAZ_NE2 | TKM | EUR | 2,006 | AGEGROUP | AGEGROUP_MONTHS48-53 | null | null | 20.4 | 15 | 27.1 | 20.4 [15.0-27.1] | 2025-05-09T07:08:11.777+02:00 |
NUTRITION_ANT_HAZ_NE2 | MYS | WPR | 2,016 | HOUSEHOLDWEALTH | HOUSEHOLDWEALTH_TOTL | null | null | 20.8 | 18.9 | 22.9 | 20.8 [18.9-22.9] | 2025-05-09T07:08:11.777+02:00 |
NUTRITION_ANT_HAZ_NE2 | PAK | EMR | 2,001 | EDUCATIONLEVEL | EDUCATIONLEVEL_TOTL | null | null | 41.4 | 40.4 | 42.4 | 41.4 [40.4-42.4] | 2025-05-09T07:08:11.777+02:00 |
NUTRITION_ANT_HAZ_NE2 | AZE | EUR | 2,013 | SEX | SEX_MLE | AGEGROUP | AGEGROUP_MONTHS42-47 | 28.4 | 15 | 47.3 | 28.4 [15.0-47.3] | 2025-05-09T07:08:11.777+02:00 |
NUTRITION_ANT_HAZ_NE2 | KAZ | EUR | 2,010 | AGEGROUP | AGEGROUP_MONTHS0-23 | null | null | 15.4 | 13.5 | 17.6 | 15.4 [13.5-17.6] | 2025-05-09T07:08:11.777+02:00 |
NUTRITION_ANT_HAZ_NE2 | BRN | WPR | 2,009 | SEX | SEX_MLE | AGEGROUP | AGEGROUP_MONTHS36-47 | 20.4 | 13.7 | 29.3 | 20.4 [13.7-29.3] | 2025-05-09T07:08:11.777+02:00 |
NUTRITION_ANT_HAZ_NE2 | PSE | EMR | 2,004 | SEX | SEX_MLE | AGEGROUP | AGEGROUP_MONTHS6-11 | 8.9 | 5.9 | 13.1 | 8.9 [5.9-13.1] | 2025-05-09T07:08:11.777+02:00 |
NUTRITION_ANT_HAZ_NE2 | PAK | EMR | 2,011 | SEX | SEX_MLE | AGEGROUP | AGEGROUP_MONTHS12-17 | 47.2 | 44.1 | 50.3 | 47.2 [44.1-50.3] | 2025-05-09T07:08:11.777+02:00 |
NUTRITION_ANT_HAZ_NE2 | NPL | SEAR | 2,019 | AGEGROUP | AGEGROUP_MONTHS24-35 | null | null | 34.5 | 31.1 | 37.9 | 34.5 [31.1-37.9] | 2025-05-09T07:08:11.777+02:00 |
NUTRITION_ANT_HAZ_NE2 | PAK | EMR | 1,991 | WEALTHDECILE | WEALTHDECILE_TOTL | null | null | 53.9 | 51.8 | 56 | 53.9 [51.8-56.0] | 2025-05-09T07:08:11.777+02:00 |
NUTRITION_ANT_HAZ_NE2 | MMR | SEAR | 2,000 | AGEGROUP | AGEGROUP_MONTHS0-5 | null | null | 16.6 | 13.7 | 20 | 16.6 [13.7-20.0] | 2025-05-09T07:08:11.777+02:00 |
NUTRITION_ANT_HAZ_NE2 | CHN | WPR | 1,992 | RESIDENCEAREATYPE | RESIDENCEAREATYPE_RUR | null | null | 41.3 | null | null | 41.3 | 2025-05-09T07:08:11.777+02:00 |
NUTRITION_ANT_HAZ_NE2 | KHM | WPR | 2,008 | SEX | SEX_MLE | AGEGROUP | AGEGROUP_MONTHS36-47 | 47.5 | 43 | 52.1 | 47.5 [43.0-52.1] | 2025-05-09T07:08:11.777+02:00 |
NUTRITION_ANT_HAZ_NE2 | IDN | WPR | 2,022 | SEX | SEX_FMLE | AGEGROUP | AGEGROUP_MONTHS36-47 | 22.3 | 21.6 | 23 | 22.3 [21.6-23.0] | 2025-05-09T07:08:11.777+02:00 |
Stunting prevalence among children under 5 years of age (% height-for-age <-2 SD), survey-based estimates | Asia (WHO GHO)
π 21,393 observations Β· 45 Asia countries Β· 1986β2024 Β· Repackaged by Electric Sheep Asia
TL;DR
This dataset contains 21,393 observations of Stunting prevalence among children under 5 years of age (% height-for-age <-2 SD), survey-based estimates data across 45 Asia countries, spanning 1986β2024, covering 1 distinct indicators.
About the source
- Source: WHO Global Health Observatory
- Publisher: World Health Organization
- License: cc-by-4.0
- Topic: Stunting prevalence among children under 5 years of age (% height-for-age <-2 SD), survey-based estimates
Geographic coverage
45 Asia countries Β· top rows shown below, sorted by row count:
| Country | Rows | First year | Last year |
|---|---|---|---|
KWT |
1,727 | 1996 | 2023 |
BGD |
1,173 | 1986 | 2022 |
VNM |
1,084 | 1988 | 2023 |
NPL |
858 | 1995 | 2022 |
MNG |
761 | 1992 | 2023 |
PHL |
710 | 1987 | 2021 |
IDN |
708 | 1996 | 2023 |
PSE |
703 | 1996 | 2020 |
JOR |
664 | 1990 | 2023 |
KGZ |
657 | 1997 | 2023 |
KHM |
632 | 1996 | 2021 |
TJK |
594 | 1999 | 2023 |
LKA |
594 | 1987 | 2024 |
IND |
591 | 1989 | 2020 |
THA |
579 | 1987 | 2022 |
| ... | 30 more countries |
Indicators (sample)
NUTRITION_ANT_HAZ_NE2
Schema
| Column | Type | Description | Example |
|---|---|---|---|
indicator_code |
object |
β | NUTRITION_ANT_HAZ_NE2 |
country_iso3 |
object |
β | AFG |
who_region |
object |
β | EMR |
year |
int64 |
β | 1997 |
dim1_type |
object |
β | AGEGROUP |
dim1 |
object |
β | AGEGROUP_YEARSALL |
dim2_type |
object |
β | AGEGROUP |
dim2 |
object |
β | AGEGROUP_YEARSALL |
value_numeric |
float64 |
β | 53.2 |
value_low |
float64 |
β | 25.7 |
value_high |
float64 |
β | 29.7 |
value_display |
object |
β | 53.2 |
last_updated |
object |
β | 2025-05-09T07:08:11.777+02:00 |
Disaggregation dimensions
The following columns provide disaggregation dimensions:
dim1_type(8 unique values):AGEGROUP,EDUCATIONLEVEL,HOUSEHOLDWEALTH,RESIDENCEAREATYPE,SEXdim1(63 unique values):AGEGROUP_YEARSALL,EDUCATIONLEVEL_TOTL,HOUSEHOLDWEALTH_TOTL,RESIDENCEAREATYPE_TOTL,SEX_BTSXdim2_type(1 unique values):AGEGROUPdim2(22 unique values):AGEGROUP_YEARSALL,AGEGROUP_MONTHS12-23,AGEGROUP_MONTHS24-35,AGEGROUP_MONTHS36-47,AGEGROUP_MONTHS48-59
Usage
from datasets import load_dataset
ds = load_dataset("electricsheepasia/asia-who-stunting-prevalence-among-children-under-5-years-of-age-nanthazne2")
df = ds["train"].to_pandas()
print(df.head())
Filter to one country
indonesia = df[df["country_iso3"] == "IDN"]
Time-series for a single indicator
sample = (df[df["indicator_code"] == "NUTRITION_ANT_HAZ_NE2"]
.sort_values("year"))
sample.plot(x="year", y="value_numeric", title="NUTRITION_ANT_HAZ_NE2")
Pivot to country Γ year matrix
matrix = (df[df["indicator_code"] == "NUTRITION_ANT_HAZ_NE2"]
.pivot_table(index="year", columns="country_iso3", values="value_numeric"))
print(matrix.tail())
Citation
@misc{asia_who_stunting_prevalence_among_children_under_5_years_of_age_nanthazne2_2024,
title = {Stunting prevalence among children under 5 years of age (% height-for-age <-2 SD), survey-based estimates | Asia (WHO GHO)},
author = {World Health Organization},
year = {2024},
url = {https://www.who.int/data/gho},
publisher = {HuggingFace Datasets, repackaged by Electric Sheep Asia},
howpublished = {\url{https://huggingface.co/datasets/electricsheepasia/asia-who-stunting-prevalence-among-children-under-5-years-of-age-nanthazne2}}
}
License
Released under cc-by-4.0.
Original data Β© World Health Organization. When using this dataset, please cite both the original source above and the Electric Sheep Asia repackaging.
About Electric Sheep
Electric Sheep Asia is part of the Electric Sheep mission: a unified, ML-ready data layer for Asia on HuggingFace. We pull data from authoritative open sources, normalize the schemas, package as Parquet, and publish with consistent dataset cards so researchers and developers can use load_dataset() to start working in seconds.
Browse the full collection: huggingface.co/electricsheepasia
Provenance: ingested 2026-05-29 via the Electric Sheep pipeline. Source URL: https://www.who.int/data/gho
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