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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.

Current health expenditure (CHE) as percentage of gross domestic product (GDP) (%)
23.09
Unit: Not specified · Period: 2022
Sex: Not specified · Age: Not specified
WHO data portal · Indicator: GHED_CHEGDP_SHA2011 · Imported: 21/11/2025
Source file: WHO_API
Current health expenditure (CHE) per capita in US$
80.65
Unit: Not specified · Period: 2022
Sex: Not specified · Age: Not specified
WHO data portal · Indicator: GHED_CHE_pc_US_SHA2011 · Imported: 21/11/2025
Source file: WHO_API
External health expenditure (EXT) as percentage of current health expenditure (CHE) (%)
21.27
Unit: Not specified · Period: 2022
Sex: Not specified · Age: Not specified
WHO data portal · Indicator: GHED_EXTCHE_SHA2011 · Imported: 21/11/2025
Source file: WHO_API
External health expenditure (EXT) per capita in US$
17.15
Unit: Not specified · Period: 2022
Sex: Not specified · Age: Not specified
WHO data portal · Indicator: GHED_EXT_pc_US_SHA2011 · Imported: 21/11/2025
Source file: WHO_API
Domestic general government health expenditure (GGHE-D) as percentage of current health expenditure (CHE) (%)
0.79
Unit: Not specified · Period: 2022
Sex: Not specified · Age: Not specified
WHO data portal · Indicator: GHED_GGHE-DCHE_SHA2011 · Imported: 21/11/2025
Source file: WHO_API
Domestic general government health expenditure (GGHE-D) as percentage of gross domestic product (GDP) (%)
0.18
Unit: Not specified · Period: 2022
Sex: Not specified · Age: Not specified
WHO data portal · Indicator: GHED_GGHE-DGDP_SHA2011 · Imported: 21/11/2025
Source file: WHO_API
Domestic general government health expenditure (GGHE-D) as percentage of general government expenditure (GGE) (%)
1.13
Unit: Not specified · Period: 2022
Sex: Not specified · Age: Not specified
WHO data portal · Indicator: GHED_GGHE-DGGE_SHA2011 · Imported: 21/11/2025
Source file: WHO_API
Domestic general government health expenditure (GGHE-D) per capita in US$
0.63
Unit: Not specified · Period: 2022
Sex: Not specified · Age: Not specified
WHO data portal · Indicator: GHED_GGHE-D_pc_US_SHA2011 · Imported: 21/11/2025
Source file: WHO_API
Out-of-pocket expenditure (OOP) per capita in US$
62.86
Unit: Not specified · Period: 2022
Sex: Not specified · Age: Not specified
WHO data portal · Indicator: GHED_OOP_pc_US_SHA2011 · Imported: 21/11/2025
Source file: WHO_API
Out-of-pocket expenditure as percentage of current health expenditure (CHE) (%)
77.95
Unit: Not specified · Period: 2022
Sex: Not specified · Age: Not specified
WHO data portal · Indicator: GHED_OOPSCHE_SHA2011 · Imported: 21/11/2025
Source file: WHO_API
Domestic general government expenditure on PHC as % of primary health care expenditure (PHCE) (%)
0.89
Unit: Not specified · Period: 2022
Sex: Not specified · Age: Not specified
WHO data portal · Indicator: GHED_PHC_GGHE-D_PHC_SHA2011 · Imported: 21/11/2025
Source file: WHO_API
Primary health care expenditure (PHCE) per сapita in US$
46.44
Unit: Not specified · Period: 2022
Sex: Not specified · Age: Not specified
WHO data portal · Indicator: GHED_PHC_pc_US_SHA2011 · Imported: 21/11/2025
Source file: WHO_API
Domestic private health expenditure (PVT-D) as percentage of current health expenditure (CHE) (%)
77.95
Unit: Not specified · Period: 2022
Sex: Not specified · Age: Not specified
WHO data portal · Indicator: GHED_PVT-DCHE_SHA2011 · Imported: 21/11/2025
Source file: WHO_API
Domestic private health expenditure (PVT-D) per capita in US$
62.86
Unit: Not specified · Period: 2022
Sex: Not specified · Age: Not specified
WHO data portal · Indicator: GHED_PVT-D_pc_US_SHA2011 · Imported: 21/11/2025
Source file: WHO_API
National universal health coverage strategy
Don't know
Unit: Not specified · Period: 2015
Sex: GOEQUESTION_GOEQUESTION001 · Age: Not specified
WHO data portal · Indicator: GOE_Q001 · Imported: 21/11/2025
Source file: WHO_API
Demand for family planning satisfied - use of modern methods (%)
38.4 [34.6-42.3]
Unit: Not specified · Period: 2015
Sex: WEALTHDECILE_WEALTHDECILE04 · Age: Not specified
WHO data portal · Indicator: fpsmowho · Imported: 21/11/2025
Source file: WHO_API
Demand for family planning satisfied - use of modern methods (%)
36.3 [31.4-41.5]
Unit: Not specified · Period: 2015
Sex: WEALTHDECILE_WEALTHDECILE05 · Age: Not specified
WHO data portal · Indicator: fpsmowho · Imported: 21/11/2025
Source file: WHO_API
Demand for family planning satisfied - use of modern methods (%)
38.6 [33.8-43.6]
Unit: Not specified · Period: 2015
Sex: WEALTHDECILE_WEALTHDECILE06 · Age: Not specified
WHO data portal · Indicator: fpsmowho · Imported: 21/11/2025
Source file: WHO_API
Demand for family planning satisfied - use of modern methods (%)
42.9 [38.4-47.5]
Unit: Not specified · Period: 2015
Sex: WEALTHDECILE_WEALTHDECILE07 · Age: Not specified
WHO data portal · Indicator: fpsmowho · Imported: 21/11/2025
Source file: WHO_API
Demand for family planning satisfied - use of modern methods (%)
44.1 [38.7-49.7]
Unit: Not specified · Period: 2015
Sex: WEALTHDECILE_WEALTHDECILE08 · Age: Not specified
WHO data portal · Indicator: fpsmowho · Imported: 21/11/2025
Source file: WHO_API
Demand for family planning satisfied - use of modern methods (%)
49.6 [43.7-55.6]
Unit: Not specified · Period: 2015
Sex: WEALTHDECILE_WEALTHDECILE09 · Age: Not specified
WHO data portal · Indicator: fpsmowho · Imported: 21/11/2025
Source file: WHO_API
Demand for family planning satisfied - use of modern methods (%)
55.6 [49.2-61.9]
Unit: Not specified · Period: 2015
Sex: WEALTHDECILE_WEALTHDECILE10 · Age: Not specified
WHO data portal · Indicator: fpsmowho · Imported: 21/11/2025
Source file: WHO_API
Demand for family planning satisfied - use of modern methods (%)
35.3 [31.4-39.4]
Unit: Not specified · Period: 2015
Sex: WEALTHQUINTILE_WQ1 · Age: Not specified
WHO data portal · Indicator: fpsmowho · Imported: 21/11/2025
Source file: WHO_API
Demand for family planning satisfied - use of modern methods (%)
38.2 [34.5-41.9]
Unit: Not specified · Period: 2015
Sex: WEALTHQUINTILE_WQ2 · Age: Not specified
WHO data portal · Indicator: fpsmowho · Imported: 21/11/2025
Source file: WHO_API
Demand for family planning satisfied - use of modern methods (%)
37.4 [33.4-41.6]
Unit: Not specified · Period: 2015
Sex: WEALTHQUINTILE_WQ3 · Age: Not specified
WHO data portal · Indicator: fpsmowho · Imported: 21/11/2025
Source file: WHO_API
Demand for family planning satisfied - use of modern methods (%)
43.6 [39.4-47.8]
Unit: Not specified · Period: 2015
Sex: WEALTHQUINTILE_WQ4 · Age: Not specified
WHO data portal · Indicator: fpsmowho · Imported: 21/11/2025
Source file: WHO_API
Demand for family planning satisfied - use of modern methods (%)
52.6 [47.3-57.9]
Unit: Not specified · Period: 2015
Sex: WEALTHQUINTILE_WQ5 · Age: Not specified
WHO data portal · Indicator: fpsmowho · Imported: 21/11/2025
Source file: WHO_API
Age-standardized DALYs (per 100,000)
68,970
Unit: Not specified · Period: 2012
Sex: GHECAUSES_GHE000 · Age: Not specified
WHO data portal · Indicator: GBD_DALYRTAGE · Imported: 21/11/2025
Source file: WHO_API
Age-standardized DALYs (per 100,000)
23,259
Unit: Not specified · Period: 2012
Sex: GHECAUSES_GHE001 · Age: Not specified
WHO data portal · Indicator: GBD_DALYRTAGE · Imported: 21/11/2025
Source file: WHO_API
Age-standardized DALYs (per 100,000)
35,454
Unit: Not specified · Period: 2012
Sex: GHECAUSES_GHE060 · Age: Not specified
WHO data portal · Indicator: GBD_DALYRTAGE · Imported: 21/11/2025
Source file: WHO_API
Age-standardized DALYs (per 100,000)
10,256
Unit: Not specified · Period: 2012
Sex: GHECAUSES_GHE151 · Age: Not specified
WHO data portal · Indicator: GBD_DALYRTAGE · Imported: 21/11/2025
Source file: WHO_API
Estimated population-based prevalence of depression
3.3
Unit: Not specified · Period: 2015
Sex: Not specified · Age: Not specified
WHO data portal · Indicator: GDO_q35 · Imported: 21/11/2025
Source file: WHO_API
strategy refers to the use of ICT to support UHC
No response
Unit: Not specified · Period: 2015
Sex: GOEQUESTION_GOEQUESTION001 · Age: Not specified
WHO data portal · Indicator: GOE_Q002 · Imported: 21/11/2025
Source file: WHO_API
National eHealth strategy
Don't know
Unit: Not specified · Period: 2015
Sex: GOEQUESTION_GOEQUESTION001 · Age: Not specified
WHO data portal · Indicator: GOE_Q003 · Imported: 21/11/2025
Source file: WHO_API
National eHealth strategy refers to objectives of UHC
No response
Unit: Not specified · Period: 2015
Sex: GOEQUESTION_GOEQUESTION001 · Age: Not specified
WHO data portal · Indicator: GOE_Q004 · Imported: 21/11/2025
Source file: WHO_API
National health information system (HIS) policy or strategy
Yes
Unit: Not specified · Period: 2015
Sex: GOEQUESTION_GOEQUESTION001 · Age: Not specified
WHO data portal · Indicator: GOE_Q006 · Imported: 21/11/2025
Source file: WHO_API
Public funding for eHealth
No
Unit: Not specified · Period: 2015
Sex: GOEQUESTION_GOEQUESTION002 · Age: Not specified
WHO data portal · Indicator: GOE_Q007 · Imported: 21/11/2025
Source file: WHO_API
Private funding for eHealth
Yes
Unit: Not specified · Period: 2015
Sex: GOEQUESTION_GOEQUESTION002 · Age: Not specified
WHO data portal · Indicator: GOE_Q008 · Imported: 21/11/2025
Source file: WHO_API
Donor/ non-public development funding for eHealth
Yes
Unit: Not specified · Period: 2015
Sex: GOEQUESTION_GOEQUESTION002 · Age: Not specified
WHO data portal · Indicator: GOE_Q009 · Imported: 21/11/2025
Source file: WHO_API
Public-private partnerships for eHealth
Don't know
Unit: Not specified · Period: 2015
Sex: GOEQUESTION_GOEQUESTION002 · Age: Not specified
WHO data portal · Indicator: GOE_Q010 · Imported: 21/11/2025
Source file: WHO_API
Strategy implementation funding available for eHealth
No
Unit: Not specified · Period: 2015
Sex: GOEQUESTION_GOEQUESTION003 · Age: Not specified
WHO data portal · Indicator: GOE_Q011 · Imported: 21/11/2025
Source file: WHO_API
Proportion of public funding
Low - less than 25% of funding
Unit: Not specified · Period: 2015
Sex: GOEQUESTION_GOEQUESTION004 · Age: Not specified
WHO data portal · Indicator: GOE_Q012 · Imported: 21/11/2025
Source file: WHO_API
Proportion of private funding
Low - less than 25% of funding
Unit: Not specified · Period: 2015
Sex: GOEQUESTION_GOEQUESTION004 · Age: Not specified
WHO data portal · Indicator: GOE_Q013 · Imported: 21/11/2025
Source file: WHO_API
Proportion of donor/non public development funding
High - more than 50% - less than 75% of funding
Unit: Not specified · Period: 2015
Sex: GOEQUESTION_GOEQUESTION004 · Age: Not specified
WHO data portal · Indicator: GOE_Q014 · Imported: 21/11/2025
Source file: WHO_API
Proportion ofpublic private partnerships funding
No funding
Unit: Not specified · Period: 2015
Sex: GOEQUESTION_GOEQUESTION004 · Age: Not specified
WHO data portal · Indicator: GOE_Q015 · Imported: 21/11/2025
Source file: WHO_API
Government-supported health internet sites provide information in multiple languages
Yes
Unit: Not specified · Period: 2015
Sex: Not specified · Age: Not specified
WHO data portal · Indicator: GOE_Q017 · Imported: 21/11/2025
Source file: WHO_API
Tertiary institutions provide students of health sciences with training on eHealth
Yes
Unit: Not specified · Period: 2015
Sex: Not specified · Age: Not specified
WHO data portal · Indicator: GOE_Q018 · Imported: 21/11/2025
Source file: WHO_API
Institutions offer in-service training to health professionals on ICT for health
Yes
Unit: Not specified · Period: 2015
Sex: Not specified · Age: Not specified
WHO data portal · Indicator: GOE_Q022 · Imported: 21/11/2025
Source file: WHO_API
mHealth programmes are sponsored by government
Yes
Unit: Not specified · Period: 2015
Sex: GOEQUESTION_GOEQUESTION005 · Age: Not specified
WHO data portal · Indicator: GOE_Q028 · Imported: 21/11/2025
Source file: WHO_API
Regulating mobile devices and software
No
Unit: Not specified · Period: 2015
Sex: GOEQUESTION_GOEQUESTION007 · Age: Not specified
WHO data portal · Indicator: GOE_Q030_1 · 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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