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Afghanistan flag Health

Afghanistan

Overview

Health indicators, mortality rates, disease burden, and healthcare infrastructure data for Afghanistan.

Healthcare Quality

Oyster healthcare score
65
Oyster List · lineage unverified
Stored score on a 0–100 scale. Oyster List uses several healthcare proxy methods; this row does not record its input sources, observation year, or formula version. It cannot be identified as a direct WHO or World Bank score. Scoring limitations.

WHO Health Indicators

Browse the latest available value for each stored sex, age, other dimension and unit combination across these pages. Different scopes are separate series. Periods can be old; a recent import does not make an old period current. Future-dated periods are listed separately because the stored data does not identify observation versus projection status.

8,380 scoped series entries across 1,774 indicators. Up to 50 entries per page; category counts below refer to this page.

Neonatal mortality rate (deaths per 1000 live births)
27.0 [24.3-29.7]
Unit: Not specified · Period: 2015
Sex: RESIDENCEAREATYPE_RUR · Age: Not specified
WHO data portal · Indicator: nmr · Imported: 21/11/2025
Source file: WHO_API
Neonatal mortality rate (deaths per 1000 live births)
17.4 [13.1-21.7]
Unit: Not specified · Period: 2015
Sex: RESIDENCEAREATYPE_URB · Age: Not specified
WHO data portal · Indicator: nmr · Imported: 21/11/2025
Source file: WHO_API
Neonatal mortality rate (deaths per 1000 live births)
21.0 [18.6-23.4]
Unit: Not specified · Period: 2015
Sex: SEX_FMLE · Age: Not specified
WHO data portal · Indicator: nmr · Imported: 21/11/2025
Source file: WHO_API
Neonatal mortality rate (deaths per 1000 live births)
28.4 [24.8-32.0]
Unit: Not specified · Period: 2015
Sex: SEX_MLE · Age: Not specified
WHO data portal · Indicator: nmr · Imported: 21/11/2025
Source file: WHO_API
Neonatal mortality rate (deaths per 1000 live births)
34.2 [27.6-40.8]
Unit: Not specified · Period: 2015
Sex: WEALTHDECILE_WEALTHDECILE01 · Age: Not specified
WHO data portal · Indicator: nmr · Imported: 21/11/2025
Source file: WHO_API
Neonatal mortality rate (deaths per 1000 live births)
30.1 [17.8-42.4]
Unit: Not specified · Period: 2015
Sex: WEALTHDECILE_WEALTHDECILE02 · Age: Not specified
WHO data portal · Indicator: nmr · Imported: 21/11/2025
Source file: WHO_API
Neonatal mortality rate (deaths per 1000 live births)
26.6 [20.0-33.1]
Unit: Not specified · Period: 2015
Sex: WEALTHDECILE_WEALTHDECILE03 · Age: Not specified
WHO data portal · Indicator: nmr · Imported: 21/11/2025
Source file: WHO_API
Neonatal mortality rate (deaths per 1000 live births)
24.6 [19.0-30.1]
Unit: Not specified · Period: 2015
Sex: WEALTHDECILE_WEALTHDECILE04 · Age: Not specified
WHO data portal · Indicator: nmr · Imported: 21/11/2025
Source file: WHO_API
Neonatal mortality rate (deaths per 1000 live births)
35.0 [22.2-47.9]
Unit: Not specified · Period: 2015
Sex: WEALTHDECILE_WEALTHDECILE05 · Age: Not specified
WHO data portal · Indicator: nmr · Imported: 21/11/2025
Source file: WHO_API
Neonatal mortality rate (deaths per 1000 live births)
21.3 [16.2-26.5]
Unit: Not specified · Period: 2015
Sex: WEALTHDECILE_WEALTHDECILE06 · Age: Not specified
WHO data portal · Indicator: nmr · Imported: 21/11/2025
Source file: WHO_API
Neonatal mortality rate (deaths per 1000 live births)
21.1 [14.9-27.2]
Unit: Not specified · Period: 2015
Sex: WEALTHDECILE_WEALTHDECILE07 · Age: Not specified
WHO data portal · Indicator: nmr · Imported: 21/11/2025
Source file: WHO_API
Neonatal mortality rate (deaths per 1000 live births)
19.1 [13.4-24.8]
Unit: Not specified · Period: 2015
Sex: WEALTHDECILE_WEALTHDECILE08 · Age: Not specified
WHO data portal · Indicator: nmr · Imported: 21/11/2025
Source file: WHO_API
Neonatal mortality rate (deaths per 1000 live births)
18.6 [10.5-26.6]
Unit: Not specified · Period: 2015
Sex: WEALTHDECILE_WEALTHDECILE09 · Age: Not specified
WHO data portal · Indicator: nmr · Imported: 21/11/2025
Source file: WHO_API
Neonatal mortality rate (deaths per 1000 live births)
15.8 [8.0-23.7]
Unit: Not specified · Period: 2015
Sex: WEALTHDECILE_WEALTHDECILE10 · Age: Not specified
WHO data portal · Indicator: nmr · Imported: 21/11/2025
Source file: WHO_API
Neonatal mortality rate (deaths per 1000 live births)
32.1 [25.2-39.1]
Unit: Not specified · Period: 2015
Sex: WEALTHQUINTILE_WQ1 · Age: Not specified
WHO data portal · Indicator: nmr · Imported: 21/11/2025
Source file: WHO_API
Neonatal mortality rate (deaths per 1000 live births)
25.6 [21.4-29.7]
Unit: Not specified · Period: 2015
Sex: WEALTHQUINTILE_WQ2 · Age: Not specified
WHO data portal · Indicator: nmr · Imported: 21/11/2025
Source file: WHO_API
Neonatal mortality rate (deaths per 1000 live births)
28.3 [20.3-36.3]
Unit: Not specified · Period: 2015
Sex: WEALTHQUINTILE_WQ3 · Age: Not specified
WHO data portal · Indicator: nmr · Imported: 21/11/2025
Source file: WHO_API
Neonatal mortality rate (deaths per 1000 live births)
20.1 [15.9-24.3]
Unit: Not specified · Period: 2015
Sex: WEALTHQUINTILE_WQ4 · Age: Not specified
WHO data portal · Indicator: nmr · Imported: 21/11/2025
Source file: WHO_API
Neonatal mortality rate (deaths per 1000 live births)
17.3 [11.8-22.7]
Unit: Not specified · Period: 2015
Sex: WEALTHQUINTILE_WQ5 · Age: Not specified
WHO data portal · Indicator: nmr · Imported: 21/11/2025
Source file: WHO_API
Reported number of human rabies deaths
No data
Unit: Not specified · Period: 2024
Sex: Not specified · Age: Not specified
WHO data portal · Indicator: NTD_RAB2 · Imported: 21/11/2025
Source file: WHO_API
National agency for tobacco control exists
Yes
Unit: Not specified · Period: 2022
Sex: Not specified · Age: Not specified
WHO data portal · Indicator: NTCP_agcy · Imported: 21/11/2025
Source file: WHO_API
Annual budget for tobacco control in currency reported
. . .
Unit: Not specified · Period: 2022
Sex: Not specified · Age: Not specified
WHO data portal · Indicator: NTCP_govt_exp · Imported: 21/11/2025
Source file: WHO_API
Government objectives on tobacco control exist
Yes
Unit: Not specified · Period: 2022
Sex: Not specified · Age: Not specified
WHO data portal · Indicator: NTCP_govt_obj · Imported: 21/11/2025
Source file: WHO_API
Budget year
. . .
Unit: Not specified · Period: 2022
Sex: Not specified · Age: Not specified
WHO data portal · Indicator: NTCP_budget_year · Imported: 21/11/2025
Source file: WHO_API
Reported currency
. . .
Unit: Not specified · Period: 2022
Sex: Not specified · Age: Not specified
WHO data portal · Indicator: NTCP_curr · Imported: 21/11/2025
Source file: WHO_API
Number of full-time equivalent staff in national agency
. . .
Unit: Not specified · Period: 2022
Sex: Not specified · Age: Not specified
WHO data portal · Indicator: NTCP_FTE · Imported: 21/11/2025
Source file: WHO_API
Status of elimination of trachoma as a public health problem
Known to require interventions
Unit: Not specified · Period: 2025
Sex: Not specified · Age: Not specified
WHO data portal · Indicator: NTD_6 · Imported: 21/11/2025
Source file: WHO_API
Population in areas that warrant treatment with antibiotics, facial cleanliness and environmental improvement for elimination of trachoma as a public health problem
474 427
Unit: Not specified · Period: 2024
Sex: Not specified · Age: Not specified
WHO data portal · Indicator: NTD_7 · Imported: 21/11/2025
Source file: WHO_API
Number of people who received treatment with antibiotics for trachoma
0
Unit: Not specified · Period: 2024
Sex: Not specified · Age: Not specified
WHO data portal · Indicator: NTD_8 · Imported: 21/11/2025
Source file: WHO_API
Status of bejel endemicity
No previous history of bejel
Unit: Not specified · Period: 2013
Sex: Not specified · Age: Not specified
WHO data portal · Indicator: NTD_BEJELSTATUS · Imported: 21/11/2025
Source file: WHO_API
Status of endemicity of Buruli ulcer
Non-endemic
Unit: Not specified · Period: 2024
Sex: Not specified · Age: Not specified
WHO data portal · Indicator: NTD_BU_END · Imported: 21/11/2025
Source file: WHO_API
Status of endemicity of cutaneous leishmaniasis
Endemic
Unit: Not specified · Period: 2024
Sex: Not specified · Age: Not specified
WHO data portal · Indicator: NTD_LEISHCEND · Imported: 21/11/2025
Source file: WHO_API
Number of cases of cutaneous leishmaniasis reported
87271
Unit: Not specified · Period: 2024
Sex: Not specified · Age: Not specified
WHO data portal · Indicator: NTD_LEISHCNUM · Imported: 21/11/2025
Source file: WHO_API
Number of imported cases of cutaneous leishmaniasis reported
No data
Unit: Not specified · Period: 2024
Sex: Not specified · Age: Not specified
WHO data portal · Indicator: NTD_LEISHCNUM_IM · Imported: 21/11/2025
Source file: WHO_API
Status of endemicity of visceral leishmaniasis
Endemic
Unit: Not specified · Period: 2024
Sex: Not specified · Age: Not specified
WHO data portal · Indicator: NTD_LEISHVEND · Imported: 21/11/2025
Source file: WHO_API
Number of cases of visceral leishmaniasis reported
32
Unit: Not specified · Period: 2024
Sex: Not specified · Age: Not specified
WHO data portal · Indicator: NTD_LEISHVNUM · Imported: 21/11/2025
Source file: WHO_API
Number of imported cases of visceral leishmaniasis reported
No data
Unit: Not specified · Period: 2024
Sex: Not specified · Age: Not specified
WHO data portal · Indicator: NTD_LEISHVNUM_IM · Imported: 21/11/2025
Source file: WHO_API
Number of female leprosy new cases
1
Unit: Not specified · Period: 2024
Sex: Not specified · Age: Not specified
WHO data portal · Indicator: NTD_LEPR11 · Imported: 21/11/2025
Source file: WHO_API
New leprosy child case detection rate (less than 15 years of age) per 1 000 000 child population
0.055
Unit: Not specified · Period: 2024
Sex: Not specified · Age: Not specified
WHO data portal · Indicator: NTD_LEPR13 · Imported: 21/11/2025
Source file: WHO_API
Number of non-autochthonous leprosy cases
No data
Unit: Not specified · Period: 2024
Sex: Not specified · Age: Not specified
WHO data portal · Indicator: NTD_LEPR14 · Imported: 21/11/2025
Source file: WHO_API
New leprosy case detection rate per 1 000 000 population
0.141
Unit: Not specified · Period: 2024
Sex: Not specified · Age: Not specified
WHO data portal · Indicator: NTD_LEPR2 · Imported: 21/11/2025
Source file: WHO_API
Leprosy - Number of cases registered for treatment
6
Unit: Not specified · Period: 2024
Sex: Not specified · Age: Not specified
WHO data portal · Indicator: NTD_LEPR3 · Imported: 21/11/2025
Source file: WHO_API
Leprosy registered prevalence rate per 1 000 000 population
0.141
Unit: Not specified · Period: 2024
Sex: Not specified · Age: Not specified
WHO data portal · Indicator: NTD_LEPR4 · Imported: 21/11/2025
Source file: WHO_API
Number of new G2D leprosy cases
2
Unit: Not specified · Period: 2024
Sex: Not specified · Age: Not specified
WHO data portal · Indicator: NTD_LEPR5 · Imported: 21/11/2025
Source file: WHO_API
Leprosy - New leprosy cases with G2D rate per 1 000 000 population
0.047
Unit: Not specified · Period: 2024
Sex: Not specified · Age: Not specified
WHO data portal · Indicator: NTD_LEPR7 · Imported: 21/11/2025
Source file: WHO_API
Leprosy - Number of new leprosy cases among children (less than 15 years of age)
1
Unit: Not specified · Period: 2024
Sex: Not specified · Age: Not specified
WHO data portal · Indicator: NTD_LEPR8 · Imported: 21/11/2025
Source file: WHO_API
Number of new leprosy cases with G2D among children (less than 15 years of age)
0
Unit: Not specified · Period: 2024
Sex: Not specified · Age: Not specified
WHO data portal · Indicator: NTD_LEPR9 · Imported: 21/11/2025
Source file: WHO_API
Status of pinta endemicity
No previous history of pinta
Unit: Not specified · Period: 2013
Sex: Not specified · Age: Not specified
WHO data portal · Indicator: NTD_PINTASTATUS · Imported: 21/11/2025
Source file: WHO_API
Number of people operated for trachomatous trichiasis
0
Unit: Not specified · Period: 2024
Sex: Not specified · Age: Not specified
WHO data portal · Indicator: NTD_TRA5 · Imported: 21/11/2025
Source file: WHO_API
Status of endemicity of Taenia solium
No data
Unit: Not specified · Period: 2022
Sex: Not specified · Age: Not specified
WHO data portal · Indicator: NTD_TSOL1 · Imported: 21/11/2025
Source file: WHO_API

World Bank Health Indicators

Proportion of women subjected to physical and/or sexual violence in the last 12 months (% of ever-partnered women ages 15-49)
46.10
2015 · World Bank
Women who believe a husband is justified in beating his wife when she argues with him (%)
59.20
2015 · World Bank
Women who believe a husband is justified in beating his wife when she burns the food (%)
18.20
2015 · World Bank
Women who believe a husband is justified in beating his wife when she goes out without telling him (%)
66.90
2015 · World Bank
Women who believe a husband is justified in beating his wife when she neglects the children (%)
48.40
2015 · World Bank
Women who believe a husband is justified in beating his wife (any of five reasons) (%)
80.20
2015 · World Bank
Women who believe a husband is justified in beating his wife when she refuses sex with him (%)
33.40
2015 · World Bank
Problems in accessing health care (not wanting to go alone) (% of women): Q1 (lowest)
78.70
2015 · World Bank
Problems in accessing health care (not wanting to go alone) (% of women): Q2
75.80
2015 · World Bank
Problems in accessing health care (not wanting to go alone) (% of women): Q3
72.30
2015 · World Bank
Problems in accessing health care (not wanting to go alone) (% of women): Q4
68.10
2015 · World Bank
Problems in accessing health care (not wanting to go alone) (% of women): Q5 (highest)
52.30
2015 · World Bank
Problems in accessing health care (distance to health facility) (% of women): Q1 (lowest)
80.30
2015 · World Bank
Problems in accessing health care (distance to health facility) (% of women): Q2
73.80
2015 · World Bank
Problems in accessing health care (distance to health facility) (% of women): Q3
71.60
2015 · World Bank
Problems in accessing health care (distance to health facility) (% of women): Q4
64.40
2015 · World Bank
Problems in accessing health care (distance to health facility) (% of women): Q5 (highest)
44.60
2015 · World Bank
Problems in accessing health care (getting money for treatment) (% of women): Q1 (lowest)
74.10
2015 · World Bank
Problems in accessing health care (getting money for treatment) (% of women): Q2
71.00
2015 · World Bank
Problems in accessing health care (getting money for treatment) (% of women): Q3
72.40
2015 · World Bank
Sources: WHO World Bank

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