Section B, Chapter 12

SectionSection B: National B: Profile and Gauteng District Province Profiles

12 Gauteng Province

Sedibeng District Municipality (DC42)

The Sedibeng District Municipalitya is a Category C municipality situated on the southern tip of the Gauteng Province and it comprises the Emfuleni, Lesedi and Midvaal Local Municipalities. Cities/Towns: De Deur/Walkerville, Devon, Eikenhof, Evaton, Heidelberg, Meyerton, Nigel, Sebokeng, Vaal Marina, Vaal Oewer, Vanderbijlpark, Vereeniging, Vischkuil Area: 4 173km² Population (2019)b: 995 666

DistrictDistrict % percentagepopulation by ag populatione-gender group cbyom page-genderared to South Af grouprica compared to South Africa

GP, Sedibeng DM (DC42)

2000/01 2010/11 2020/21

South Africa % of total population [Male | Female] - lines South Africa % of total population [Male | Female] - lines South Africa % of total population [Male | Female] - lines

AgeGrp 8% 6% 4% 2% 0% 2% 4% 6% 8% 8% 6% 4% 2% 0% 2% 4% 6% 8% 8% 6% 4% 2% 0% 2% 4% 6% 8% 65+ 1.7% 2.6% 2.4% 3.5% 3.5% 4.7%

60-64 years 1.6% 1.8% 1.9% 2.2%

55-59 years 1.5% 1.7% 2.1% 2.4% 2.1% 2.4%

50-54 years 2.2% 2.4% 2.5% 2.8% 2.3% 2.4%

45-49 years 2.8% 3.2% 2.8% 3.0% 2.8% 2.5%

40-44 years 3.4% 3.8% 2.9% 3.0% 3.3% 2.8%

35-39 years 3.8% 4.3% 3.7% 3.2% 4.2% 3.4%

30-34 years 4.1% 4.3% 4.3% 3.6% 5.2% 4.3%

25-29 years 5.0% 4.7% 5.3% 4.7% 5.3% 4.5%

20-24 years 5.2% 4.9% 5.9% 5.6% 4.7% 4.2%

15-19 years 4.9% 4.8% 4.7% 4.5% 3.9% 3.6%

10-14 years 4.8% 5.0% 3.5% 3.5% 4.2% 3.9%

05-09 years 4.4% 4.4% 3.8% 3.7% 4.2% 3.9%

00-04 years 3.9% 4.0% 4.7% 4.5% 4.0% 3.9%

8% 6% 4% 2% 0% 2% 4% 6% 8% 8% 6% 4% 2% 0% 2% 4% 6% 8% 8% 6% 4% 2% 0% 2% 4% 6% 8% District % of total population [Male | Female] - bars District % of total population [Male | Female] - bars District % of total population [Male | Female] - bars

Sex Gender (ZA) female female (ZA) male male (ZA)

Burden of disease profile For the percentage of deaths by broad cause, deaths are classified into four groups, namely: (i) injuries; (ii) non- communicable diseases; (iii) HIV and TB; and (iv) communicable diseases together with maternal, perinatal and nutritional conditions. Data are given by gender and age group for the period 2012–2017. The second part of the graph shows the 10 leading single causes of death within each age group and by gender for 2012–2017.

a Available from: https://municipalities.co.za/overview/114/sedibeng-district-municipality. b Mid-year Population Estimates 2019, Stats SA.

349 Section B: NationalProfile Gauteng and District Province Profiles

Percentage of deaths by broad cause and leading causes, 2012–2017 GP, Sedibeng DM: DC42, 2012 - 2017 Percentage of AgeGrp Female Male deaths by broad <5 years 75% 5% 12% 8% 75% 4% 13% 8% causes and 5-14 30% 16% 21% 33% 23% 15% 17% 45% single leading 15-24 27% 29% 22% 22% 13% 13% 17% 57% causes 25-64 22% 24% 49% 6% 17% 25% 38% 19% 65+ 15% 3% 79% 3% 14% 5% 76% 5% Total 23% 14% 57% 6% 20% 18% 46% 17% Broadcause Injury NCD Rank Female Male 1 Lower respiratory infections (19.3%) Lower respiratory infections (19.1%) HIV and TB 2 Preterm birth complications (16.1%) Preterm birth complications (16.0%) Comm_mat_peri_nut 3 Diarrhoeal diseases (14.4%) Diarrhoeal diseases (11.5%)

s 4 Sepsis/other newborn infectious (9.6%) Sepsis/other newborn infectious (10.2%) Prov, District 5 Birth asphyxia (6.1%) Birth asphyxia (7.9%) GP, Sedibeng DM: DC42 y e a r 6 HIV/AIDS (4.0%) Protein-energy malnutrition (3.4%) Show history 5

< 7 Protein-energy malnutrition (3.4%) Other perinatal conditions (3.3%) 8 Other perinatal conditions (2.6%) HIV/AIDS (2.9%) Percentages are shown 9 Congenital heart anomalies (2.6%) Congenital heart anomalies (2.8%) according to all the deaths 10 Septicaemia (2.4%) Fires, hot substances (2.7%) within the age/gender 1 Accidental threats to breathing (17.6%) Drowning (19.6%) category of each box, 2 Lower respiratory infections (14.9%) Other unintentional injuries (10.3%) although only the leading 3 HIV/AIDS (10.6%) Lower respiratory infections (9.6%) 10 causes are displayed. 4 Tuberculosis (6.8%) HIV/AIDS (9.2%) 5 Fires, hot substances (6.3%) Tuberculosis (7.2%) 1 4

5 - 6 Drowning (6.2%) Accidental threats to breathing (6.6%) 7 Diarrhoeal diseases (6.1%) Fires, hot substances (5.9%) 8 Epilepsy (3.9%) Diarrhoeal diseases (3.7%) 9 Other unintentional injuries (3.5%) Meningitis/encephalitis (3.1%) 10 Septicaemia (2.7%) Mechanical forces (3.0%) 1 Tuberculosis (15.1%) Interpersonal violence (22.6%) 2 HIV/AIDS (14.7%) Accidental threats to breathing (12.1%) 3 Lower respiratory infections (13.7%) Mechanical forces (11.5%) 4 Accidental threats to breathing (8.2%) Tuberculosis (8.3%)

2 4 5 Interpersonal violence (4.7%) Lower respiratory infections (7.9%)

1 5 - 6 Diarrhoeal diseases (4.6%) HIV/AIDS (4.9%) 7 Endocrine nutritional,blood, immune (3.7%) Fires, hot substances (4.2%) 8 Meningitis/encephalitis (3.3%) Drowning (2.9%) 9 Mechanical forces (3.3%) Epilepsy (2.7%) 10 Fires, hot substances (2.0%) Meningitis/encephalitis (2.2%) 1 Lower respiratory infections (12.4%) Tuberculosis (15.0%) 2 HIV/AIDS (12.1%) Lower respiratory infections (10.8%) 3 Tuberculosis (11.8%) HIV/AIDS (10.4%) 4 Hypertensive heart disease (6.5%) Mechanical forces (6.2%)

6 4 5 Cerebrovascular disease (5.5%) Ischaemic heart disease (4.8%)

2 5 - 6 Diabetes mellitus (4.7%) Interpersonal violence (4.5%) 7 Ischaemic heart disease (3.9%) Cerebrovascular disease (4.2%) 8 Diarrhoeal diseases (3.7%) Accidental threats to breathing (4.1%) 9 Endocrine nutritional,blood, immune (3.6%) Hypertensive heart disease (3.7%) 10 Cervix (3.1%) Diabetes mellitus (2.6%) 1 Hypertensive heart disease (19.1%) Hypertensive heart disease (11.2%) 2 Cerebrovascular disease (11.6%) Ischaemic heart disease (10.8%) 3 Lower respiratory infections (9.4%) Lower respiratory infections (9.5%) 4 Ischaemic heart disease (9.1%) Cerebrovascular disease (8.7%) 5 Diabetes mellitus (7.0%) COPD (6.0%)

6 5 + 6 COPD (3.5%) Diabetes mellitus (5.2%) 7 Nephritis/nephrosis (2.8%) Prostate (4.6%) 8 Diarrhoeal diseases (2.8%) Tuberculosis (4.2%) 9 Septicaemia (2.5%) Nephritis/nephrosis (3.2%) 10 Breast (2.0%) Trachea/bronchi/lung (2.8%)

Rank Maternal conditions All other causes 1 Indirect maternal (24.4%) n=33 HIV/AIDS (16.9%) n=1 484 2 Other maternal (20.3%) n=28 Lower respiratory infections (15.4%) n=1 349 3 Maternal haemorrhage (20.3%) n=28 Tuberculosis (15.3%) n=1 341 4 Abortion (14.1%) n=19 Diarrhoeal diseases (4.5%) n=390 e a l 4 9 5 Hypertension in pregnancy (13.1%) n=18 Endocrine nutritional,blood, immune (4.1%) n=361

1 5 - 6 Maternal sepsis (7.8%) n=11 Meningitis/encephalitis (3.6%) n=315 F e m 7 Cerebrovascular disease (3.1%) n=270 8 Hypertensive heart disease (2.8%) n=244 9 Nephritis/nephrosis (2.7%) n=233 10 Cervix (2.4%) n=214

350 SectionSection B: National B: Profile and Gauteng District Province Profiles

Annual trends, 2015/16–2019/20

Sedibeng: DC42 Sedibeng: DC42 e s n g l 3 i 35 o f a n i

100 100 P r

p l 10 10 y

l TB DS client lost to i Couple year 11 follow up rate [both 80 80 34 protection rate [ | sexes all ages | 16 8 8 DHIS] ETR/Tier.Net] 22 17 41 1 _ F a m 60 60 34 40 6 6 40 40 e 42 c a r 39 y 90 90 9 9 v e r i TB DS death rate 32 28 Antenatal 1st visit d e l [both sexes all 8 8 coverage [female | 24 80 80 ages |

a n d DHIS] ETR/Tier.Net] 7 7 28 41 39 70 33 36 70 6 6 e g n a c y

100 2 13 13 100 1 _ 2 P r 12 12 12 10 TB symptom 5 Delivery in 10 to 19 9 years and older years in facility rate 10 11 10 screened in facility 50 50 [female | DHIS] rate [both sexes | DHIS] 8 8

0 0 19 90 90 23 120 44 120 TB symptom child 23 Maternal mortality 35 under 5 years in facility ratio screened in facility 80 80 [female | DHIS] rate [both sexes | 28 DHIS] 100 100 20 29 70 70 23

e n t 14 41 90 31 90

14 14 m e a t r 39 t Adult with viral V Neonatal death in I load suppressed 80 80 rate 12 months facility rate [both 12 12 sexes | DHIS] [both sexes 15+ 51 2 _ H 19 years | DHIS] 16 70 70 17 51 10 10

o n 70 70

i 26

s a t 90 90

u n i Child with viral 26

m Immunisation load suppressed 60 60 m

i 17 24 under 1 year 15 rate 12 months d l coverage [both [both sexes 0-14 50 h i sexes | DHIS] 80 80 years | DHIS] 50 50 14 32 25 1 _ 3 C 50 70 70 15 15 e n t 51 m

e a t 60 60 r t Death in facility 47 51 Clients remaining d l 10 10 on ART rate [both h i under 5 years rate 50 [both sexes | sexes all ages | DHIS] 50 50 DHIS] 43 52 1 _ 4 C 36 52 51 52 5 5 40 40 6

6 6 C 25 25 51 U 23

Pneumonia case 48 Antiretroviral 20 20 fatality under 5 4 4 effective coverage 25 years rate [both [both sexes 0-14 29 38 sexes <5 years | 30 years | DHIS-Tier] 15 15 DHIS] 2 2 14 46 9 10 10 85 85 e n t

m 40 27 40

e a t 36 37 r

t Antiretroviral TB DS treatment effective coverage success rate [both 26 80 30 80 [both sexes 15+ sexes all ages | 24 years | DHIS-Tier] 30 30 2 _ 1 T B ETR/Tier.Net] 33 47 75 75

40 27 40 2 0 1 5 2 0 1 6 2 0 1 7 2 0 1 8 2 0 1 9 2 0 36 36

F Y F Y F Y F Y F Y F Y Antiretroviral effective coverage Measure Names Rank [both sexes all 30 30 Prov av 1 51 ages | DHIS-Tier] ZA av Ind Value 47 20 20 2 0 1 5 2 0 1 6 2 0 1 7 2 0 1 8 2 0 1 9 2 0 F Y F Y F Y F Y F Y F Y

351 Section B: NationalProfile Gauteng and District Province Profiles

Sedibeng: DC42 Sedibeng: DC42

9 95 95 C 1 U 1 Age-standardised 1 n a c e 4000 4000 1 Expenditure per prevalence of 90 1 90 non-raised blood 1 patient day 4 _ 5 F i equivalent (district pressure (index) 3500 3500 hospitals) [ | BAS [both sexes 15+ 85 85 real 2019/20 years | NiDS prices] modelled] 3000 3000 80 80 e s e n t 10 10 a b e t

i Provincial & LG District Health Diabetes a n g e m 8 8 Services 2000 2000

m prevalence [both 3 _ 2 D expenditure per sexes 15+ years | capita (uninsured) [ NiDS modelled] 6 6 | BAS real 2019/20 10 prices] 7 8 7 7 1500 1500 4 6 4

1 0 1 1600 1600 C 1 1 1 2

U 2 60 60 Provincial & LG Diabetes treatment PHC expenditure coverage [both per capita 1400 1400 sexes 15+ years | 50 50 (uninsured) [ | BAS NiDS modelled] real 2019/20 prices] 1200 1200 40 40 o n i 33

e c t 700 700 Provincial & LG d e t Cervical cancer 40 34 40 PHC expenditure screening per PHC 600 600

a n c e r coverage [female | headcount [ | BAS 33 43 39 DHIS] real 2019/20 500 500 prices] 3 _ C 30 30 42 400 400

1 2 20 20 50

C 53 80 80 U s e a

d i 50

Tobacco Percentage of 18 18 non-smoking o f deaths garbage prevalence (index) 75 75 d e n codes [both sexes [both sexes 15+ 42 all ages | vital 16 16 years | NiDS 42 B u r 43 registration] modelled] 44 70 44 70 14 14 47 e n t i 18 18

a c e s 15 15 n p a t i y t

i Hospital beds per Percentage of l 10 000 target deaths ill-defined population [ | DHIS 16 24 16 [both sexes all 2000-2030 public ages | vital

4 _ 1 F a c i sector] 31 29 30 registration] 10 10 30 14 16 14 32 14 15 y t 24 24 43

d e n s i Percentage of

Medical 23 YLLs due to 22 43 22

k e r 30 30 practitioners per communicable, o r

w 100 000 population maternal, perinatal, 20 20 h

t [both sexes | public nutrition causes 35

e a l sector] [both sexes | vital 24 25 25 25 registration] 18 18 25 4 _ 2 H

19 7 19 9 9 18 18 25 25 17 17 Percentage of Pharmacists per 16 11 16 YLLs due to HIV 100 000 population 15 15 and TB [both [both sexes | public 14 14 sexes | vital 20 20 sector] 4 13 13 registration] 12 12 5 2 11 11 15 15 35 39 28 140 140 15.5 15.5 Professional Percentage of nurses per 100 31 000 population YLLs due to 130 130 injuries [both sexes 15.0 15.0 [both sexes | public 35 35 | vital registration] sector] 14.5 14.5 120 35 120

n e s 50 50 a n d 100 1 100 5 c i

C 6

e d i Percentage of 37 P H m YLLs due to 32 Percentage Ideal 12 non-communicable 50 50 45 45 clinics [ | IC status] diseases [both sexes | vital registration] 4 _ 3 A c e s 34 21 0 11 0 40 40 2 0 1 5 2 0 1 6 2 0 1 7 2 0 1 8 2 0 1 9 2 0 2 0 1 5 2 0 1 6 2 0 1 7 2 0 1 8 2 0 1 9 2 0 F Y F Y F Y F Y F Y F Y F Y F Y F Y F Y F Y F Y

352 SectionSection B: National B: Profile and Gauteng District Province Profiles

West Rand District Municipality (DC48)

The West Rand District Municipalityc is a Category C municipality located in the west of the Gauteng Province. It comprises three local municipalities: Merafong, Mogale and Rand West Cities. Cities/Towns: Carletonville, Fochville, Krugersdorp, Magaliesburg, Muldersdrift, Randfontein, Wedela, Westonaria Area: 4 087km² Population (2019)d: 890 241

DistrictDistrict % percentagepopulation by ag epopulation-gender group cbyom page-genderared to South Af rgroupica compared to South Africa

GP, West Rand DM (DC48)

2000/01 2010/11 2020/21

South Africa % of total population [Male | Female] - lines South Africa % of total population [Male | Female] - lines South Africa % of total population [Male | Female] - lines

AgeGrp 8% 6% 4% 2% 0% 2% 4% 6% 8% 8% 6% 4% 2% 0% 2% 4% 6% 8% 8% 6% 4% 2% 0% 2% 4% 6% 8% 65+ 1.4% 1.9% 1.7% 2.2% 2.7% 2.7%

60-64 years 1.5% 1.3% 2.2% 1.7%

55-59 years 1.4% 1.4% 2.4% 1.9% 2.6% 2.2%

50-54 years 2.3% 1.9% 3.3% 2.5% 2.6% 2.4%

45-49 years 3.6% 2.7% 3.8% 3.1% 2.9% 2.6%

40-44 years 5.1% 3.7% 3.8% 3.3% 3.2% 3.0%

35-39 years 5.9% 4.6% 4.2% 3.5% 4.3% 3.9%

30-34 years 5.6% 4.8% 4.5% 4.0% 5.4% 4.8%

25-29 years 5.9% 4.9% 5.5% 5.0% 5.4% 5.0%

20-24 years 4.7% 4.5% 5.6% 5.2% 4.5% 4.5%

15-19 years 3.9% 3.9% 4.1% 4.2% 3.6% 3.6%

10-14 years 4.0% 4.1% 3.5% 3.7% 3.8% 3.8%

05-09 years 3.7% 3.9% 3.8% 3.7% 4.2% 4.0%

00-04 years 4.1% 4.4% 4.5% 4.3% 4.2% 4.1%

Sex Gender (ZA) female female (ZA) male male (ZA)

c Available from: https://municipalities.co.za/overview/115/west-rand-district-municipality. d Mid-year Population Estimates 2019, Stats SA.

353 Section B: NationalProfile Gauteng and District Province Profiles

Percentage of deaths by broad cause and leading causes, 2012–2017 GP, West Rand DM: DC48, 2012 - 2017 Percentage of AgeGrp Female Male deaths by broad <5 years 71% 8% 15% 7% 66% 7% 19% 8% causes and 5-14 27% 17% 27% 29% 23% 12% 25% 40% single leading 15-24 22% 34% 21% 23% 10% 10% 17% 63% causes 25-64 17% 29% 47% 7% 15% 26% 38% 21% 65+ 13%3% 81% 3% 12%4% 79% 5% Total 20% 17% 56% 6% 17% 18% 46% 18% Broadcause Injury NCD Rank Female Male 1 Lower respiratory infections (16.9%) Lower respiratory infections (15.0%) HIV and TB 2 Diarrhoeal diseases (13.8%) Preterm birth complications (13.4%) Comm_mat_peri_nut 3 Preterm birth complications (12.4%) Diarrhoeal diseases (12.5%)

s 4 Birth asphyxia (8.3%) Birth asphyxia (8.6%) Prov, District 5 Sepsis/other newborn infectious (6.7%) HIV/AIDS (5.9%) GP, West Rand DM: DC48 y e a r 6 HIV/AIDS (6.7%) Sepsis/other newborn infectious (4.5%) Show history 5

< 7 Other perinatal conditions (3.9%) Other perinatal conditions (4.5%) 8 Protein-energy malnutrition (3.6%) Protein-energy malnutrition (3.7%) Percentages are shown 9 Congenital heart anomalies (3.1%) Congenital heart anomalies (3.1%) according to all the deaths 10 Septicaemia (2.8%) Endocrine nutritional,blood, immune (2.9%) within the age/gender 1 Lower respiratory infections (12.5%) Drowning (12.9%) category of each box, 2 HIV/AIDS (12.5%) Lower respiratory infections (10.3%) although only the leading 3 Tuberculosis (9.1%) Accidental threats to breathing (9.4%) 10 causes are displayed. 4 Accidental threats to breathing (8.7%) HIV/AIDS (8.9%) 5 Fires, hot substances (6.1%) Fires, hot substances (8.3%) 1 4

5 - 6 Diarrhoeal diseases (5.6%) Diarrhoeal diseases (5.5%) 7 Road injuries (5.3%) Leukaemia (5.3%) 8 Meningitis/encephalitis (5.0%) Other unintentional injuries (4.8%) 9 Leukaemia (4.0%) Tuberculosis (4.8%) 10 Interpersonal violence (3.7%) Road injuries (4.2%) 1 HIV/AIDS (20.8%) Interpersonal violence (24.5%) 2 Tuberculosis (15.1%) Mechanical forces (12.9%) 3 Lower respiratory infections (10.2%) Accidental threats to breathing (12.1%) 4 Accidental threats to breathing (8.6%) Tuberculosis (6.0%)

2 4 5 Meningitis/encephalitis (5.1%) Road injuries (5.3%)

1 5 - 6 Interpersonal violence (4.9%) Lower respiratory infections (5.2%) 7 Endocrine nutritional,blood, immune (4.4%) Fires, hot substances (4.3%) 8 Fires, hot substances (4.2%) HIV/AIDS (4.2%) 9 Cardiomyopathy (3.0%) Meningitis/encephalitis (2.6%) 10 Diarrhoeal diseases (2.9%) Drowning (2.1%) 1 HIV/AIDS (17.9%) HIV/AIDS (14.0%) 2 Tuberculosis (11.2%) Tuberculosis (12.3%) 3 Lower respiratory infections (9.8%) Lower respiratory infections (9.0%) 4 Cerebrovascular disease (5.0%) Mechanical forces (5.9%)

6 4 5 Hypertensive heart disease (4.7%) Ischaemic heart disease (5.8%)

2 5 - 6 Endocrine nutritional,blood, immune (4.6%) Interpersonal violence (4.7%) 7 Diabetes mellitus (3.7%) Accidental threats to breathing (4.3%) 8 Ischaemic heart disease (3.5%) Cerebrovascular disease (3.8%) 9 Cervix (3.0%) Endocrine nutritional,blood, immune (3.2%) 10 Breast (2.8%) Hypertensive heart disease (2.8%) 1 Ischaemic heart disease (12.6%) Ischaemic heart disease (15.8%) 2 Hypertensive heart disease (12.1%) Cerebrovascular disease (7.9%) 3 Cerebrovascular disease (10.9%) Lower respiratory infections (7.9%) 4 Lower respiratory infections (7.5%) COPD (7.2%) 5 Diabetes mellitus (5.5%) Hypertensive heart disease (7.0%)

6 5 + 6 COPD (4.5%) Prostate (5.1%) 7 Alzheimer’s and other dementias (3.0%) Diabetes mellitus (4.0%) 8 Nephritis/nephrosis (2.8%) Nephritis/nephrosis (2.9%) 9 Breast (2.8%) Tuberculosis (2.9%) 10 Septicaemia (2.7%) Trachea/bronchi/lung (2.8%)

Rank Maternal conditions All other causes 1 Other maternal (27.8%) n=33 HIV/AIDS (23.8%) n=1 867 2 Indirect maternal (26.3%) n=31 Tuberculosis (14.4%) n=1 126 3 Hypertension in pregnancy (16.5%) n=20 Lower respiratory infections (11.9%) n=932 4 Maternal haemorrhage (14.2%) n=17 Endocrine nutritional,blood, immune (5.1%) n=399 e a l 4 9 5 Abortion (12.2%) n=15 Diarrhoeal diseases (3.0%) n=235

1 5 - 6 Maternal sepsis (3.0%) n=4 Cerebrovascular disease (2.6%) n=204 F e m 7 Meningitis/encephalitis (2.6%) n=204 8 Cervix (2.4%) n=190 9 Accidental threats to breathing (2.3%) n=179 10 Interpersonal violence (2.2%) n=172

354 SectionSection B: National B: Profile and Gauteng District Province Profiles

Annual trends, 2015/16–2019/20

West Rand: DC48 West Rand: DC48 e s n g l 11 3 i 10 10 10 3 o f a n i 6 9 9 P r

p l 80 80

y 8 8

l TB DS client lost to i Couple year follow up rate [both 7 7 protection rate [ | sexes all ages | 6 6 DHIS] 23 60 60 ETR/Tier.Net] 5 5 1 _ F a m 4 4 4 3 5 4 3 3

e 7.0 7.0

c a r 9

y 21 v e r i 90 90 TB DS death rate Antenatal 1st visit d e l [both sexes all 6.5 14 6.5 coverage [female | 18 ages | 18 a n d DHIS] 9 19 18 24 ETR/Tier.Net] 80 17 80 6.0 6.0 e g n a c y

2 2 1 _ 2 P r 12 12 1 2 TB symptom 5 100 100 Delivery in 10 to 19 years and older years in facility rate 10 10 screened in facility [female | DHIS] rate [both sexes | 50 50 4 DHIS] 8 6 8 3 0 0 100 100 140 42 140 11 13 90 90 25 TB symptom child 10 Maternal mortality 120 36 120 under 5 years in facility ratio screened in facility 80 80 [female | DHIS] 30 rate [both sexes | 38 DHIS] 100 100 70 70 19

14 14 e n t 90 32 90

32 m 25 e a t r

t Adult with viral 12 25 12 85 85 V Neonatal death in I load suppressed facility rate [both rate 12 months 10 10 80 80 sexes | DHIS] [both sexes 15+ 50 8 2 _ H years | DHIS] 8 8 8 75 75 4 50 o n i 5 70 17 70

s a t 32

u n i 90 90 Child with viral

m Immunisation 14 14 load suppressed 60 60 m i under 1 year rate 12 months 43 d l coverage [both 15 [both sexes 0-14 h i sexes | DHIS] 80 20 80 years | DHIS] 50 50

1 _ 3 C 17 52 70 70 40 40

e n t 47 31 33

m 46 8 8 25 e a t r

t 60 60 Death in facility 32 Clients remaining 27 d l on ART rate [both

h i under 5 years rate sexes all ages | [both sexes | 6 35 6 DHIS] DHIS]

1 _ 4 C 50 50 19 4 17 4 6

C 13 1 U 30 30 4 47 4 13 Pneumonia case Antiretroviral fatality under 5 3 3 effective coverage 20 20 years rate [both [both sexes 0-14 sexes <5 years | 36 years | DHIS-Tier] DHIS] 2 19 2 10 10 11 13 15 49 1 1 90 90 50 15 50 e n t 4 1 10

m 1 22

e a t 7 r t 85 85 Antiretroviral TB DS treatment 40 40 success rate [both effective coverage [both sexes 15+ sexes all ages | years | DHIS-Tier] 2 _ 1 T B ETR/Tier.Net] 80 80 30 30 34 75 75 50 50 10 15

2 0 1 5 2 0 1 6 2 0 1 7 2 0 1 8 2 0 1 9 2 0 22 F Y F Y F Y F Y F Y F Y Antiretroviral 40 40 effective coverage Measure Names Rank [both sexes all Prov av 1 47 ages | DHIS-Tier] ZA av 30 30 Ind Value 36 2 0 1 5 2 0 1 6 2 0 1 7 2 0 1 8 2 0 1 9 2 0 F Y F Y F Y F Y F Y F Y

355 Section B: NationalProfile Gauteng and District Province Profiles

West Rand: DC48 West Rand: DC48 9

C 4000 4000 U

Age-standardised n a c e Expenditure per prevalence of 80 80 patient day non-raised blood 3500 3500 4 _ 5 F i equivalent (district pressure (index) 37 hospitals) [ | BAS [both sexes 15+ 37 38 real 2019/20 years | NiDS 37 prices] 3000 3000 modelled] 75 37 75 38 e s e n t 47 48 47 44 41 36 15 15 a b e t

i Provincial & LG District Health Diabetes a n g e m Services 2000 2000 m prevalence [both 3 _ 2 D expenditure per sexes 15+ years | capita (uninsured) [ NiDS modelled] 10 10 | BAS real 2019/20 prices] 1500 1500 1 0 C

U 40 40 Provincial & LG 1400 1400 Diabetes treatment PHC expenditure coverage [both per capita sexes 15+ years | (uninsured) [ | BAS 20 20 NiDS modelled] real 2019/20 prices] 1200 1200 52 52 52 52 52 52 o n i 17

e c t 22 50 50 Provincial & LG d e t 600 600 Cervical cancer PHC expenditure screening 22 24 per PHC

a n c e r coverage [female | headcount [ | BAS 40 40 500 500 DHIS] real 2019/20 prices] 3 _ C 35 30 47 30 400 400

1 2 49

C 18 18 U s e a

d i 45

Tobacco 81 81 Percentage of non-smoking o f 46 deaths garbage prevalence (index) 16 16

d e n codes [both sexes [both sexes 15+ all ages | vital years | NiDS B u r 80 31 80 registration] modelled] 32 32 14 14 32 31 31 17 17 e n t

i 6 39 30 5 30 38

a c e s 5 n p a t 6 i y 6 t 16 16

i Hospital beds per Percentage of l 8 10 000 target 25 25 deaths ill-defined population [ | DHIS [both sexes all 38 2000-2030 public ages | vital 15 15

4 _ 1 F a c i sector] 20 20 registration] 14 14 15 15 y t 38 11 38 39 15 20 20

d e n s i 37 12 37 Percentage of 37 Medical 36 14 36 YLLs due to 29 k e r practitioners per 35 35 communicable, 19 19 o r

w 100 000 population 34 34 maternal, perinatal, h

t [both sexes | public nutrition causes 33 33 18 18 e a l sector] 32 32 [both sexes | vital 31 31 registration] 17 17

4 _ 2 H 30 30

16 12 16

11 14 25 25 14 Percentage of Pharmacists per YLLs due to HIV 100 000 population 14 14 8 and TB [both [both sexes | public sexes | vital sector] registration] 20 20 12 12 8 5

18 18 180 7 180 46 13 16 17 17 Professional 20 160 160 Percentage of nurses per 100 43 YLLs due to 000 population 16 16 injuries [both sexes [both sexes | public | vital registration] 28 sector] 140 140 15 15

120 120 14 14 9

n e s 50 50 a n d

c i 15 C

e d i 15 Percentage of

P H 38 m YLLs due to Percentage Ideal 50 50 non-communicable 45 45 clinics [ | IC status] diseases [both 26 sexes | vital 38 registration] 4 _ 3 A c e s 35 0 11 35 0 40 40 2 0 1 5 2 0 1 6 2 0 1 7 2 0 1 8 2 0 1 9 2 0 2 0 1 5 2 0 1 6 2 0 1 7 2 0 1 8 2 0 1 9 2 0 F Y F Y F Y F Y F Y F Y F Y F Y F Y F Y F Y F Y

356 SectionSection B: National B: Profile and Gauteng District Province Profiles

Ekurhuleni Metropolitan Municipality (EKU)

The City of Ekurhuleni Metropolitan Municipalitye is a Category A municipality in Gauteng Province. The former administrations of the nine towns in the former East Rand were amalgamated into the metropolitan municipality, along with the Khayalami Metropolitan Council and the Eastern Gauteng Services Council. It is one of the most densely populated areas in the province, and in the country. It comprises six health sub-districts, namely: Ekurhuleni East 1 and East 2, Ekurhuleni North 1 and North 2, and Ekurhuleni South 1 and South 2. Cities/Towns: Alberton, Bedfordview, Benoni, Birchleigh, Boksburg, Brakpan, Clayville, Daveyton, Dunnottar, Edenvale, Geduld, Germiston, Katlehong, Kempton Park, Kwa-Thema, Machenzieville, Nigel, Olifantsfontein, Springs, Tembisa, Tokoza, Vosloorus, Vorsterkroon Area: 1 975km² Population (2019)f: 3 609 252

DistrictDistrict % percentagepopulation by ag populatione-gender group cbyom page-genderared to South Af grouprica compared to South Africa

GP, City of Ekurhuleni MM (EKU)

2000/01 2010/11 2020/21

South Africa % of total population [Male | Female] - lines South Africa % of total population [Male | Female] - lines South Africa % of total population [Male | Female] - lines

AgeGrp 8% 6% 4% 2% 0% 2% 4% 6% 8% 8% 6% 4% 2% 0% 2% 4% 6% 8% 8% 6% 4% 2% 0% 2% 4% 6% 8% 65+ 1.4% 2.2% 1.8% 2.4% 2.3% 2.9%

60-64 years 1.3% 1.4% 1.5% 1.6%

55-59 years 1.4% 1.6% 1.8% 1.9% 1.9% 2.0%

50-54 years 2.1% 2.2% 2.3% 2.4% 2.3% 2.2%

45-49 years 2.9% 2.9% 2.9% 2.9% 3.1% 2.6%

40-44 years 3.6% 3.6% 3.4% 3.2% 3.6% 3.2%

35-39 years 4.5% 4.4% 4.5% 3.7% 4.7% 4.1%

30-34 years 5.1% 4.6% 5.1% 4.3% 5.7% 5.2%

25-29 years 6.3% 5.3% 6.1% 5.5% 5.6% 5.3%

20-24 years 5.4% 4.8% 5.9% 5.6% 4.5% 4.3%

15-19 years 4.3% 4.2% 4.1% 4.1% 3.3% 3.3%

10-14 years 4.3% 4.3% 3.4% 3.4% 3.9% 3.8%

05-09 years 4.1% 4.1% 3.6% 3.5% 4.2% 4.1%

00-04 years 4.3% 4.3% 4.8% 4.7% 4.3% 4.2%

Sex Gender (ZA) female female (ZA) male male (ZA)

e Available from: https://municipalities.co.za/overview/4/city-of-ekurhuleni-metropolitan-municipality. f Mid-year Population Estimates 2019, Stats SA.

357 Section B: NationalProfile Gauteng and District Province Profiles

Percentage of deaths by broad cause and leading causes, 2012–2017 GP, City of Ekurhuleni MM: EKU, 2012 - 2017 Percentage of AgeGrp Female Male deaths by broad <5 years 69% 6% 19% 6% 68% 6% 19% 7% causes and 5-14 30% 19% 27% 25% 25% 22% 22% 31% single leading 15-24 23% 36% 22% 19% 10% 15% 16% 59% causes 25-64 17% 33% 45% 5% 14% 30% 38% 18% 65+ 13%3% 81% 3% 11%5% 79% 5% Total 20% 20% 55% 5% 18% 21% 45% 16% Broadcause Injury NCD Rank Female Male 1 Preterm birth complications (18.9%) Preterm birth complications (18.6%) HIV and TB 2 Lower respiratory infections (14.4%) Lower respiratory infections (13.5%) Comm_mat_peri_nut 3 Diarrhoeal diseases (9.6%) Diarrhoeal diseases (9.3%)

s 4 Birth asphyxia (7.6%) Birth asphyxia (8.8%) Prov, District 5 Sepsis/other newborn infectious (6.7%) Sepsis/other newborn infectious (6.5%) GP, City of Ekurhuleni MM: EK.. y e a r 6 Other respiratory (5.1%) HIV/AIDS (4.3%) Show history 5

< 7 HIV/AIDS (4.2%) Other respiratory (4.2%) 8 Septicaemia (3.4%) Septicaemia (3.6%) Percentages are shown 9 Protein-energy malnutrition (3.2%) Congenital heart anomalies (3.0%) according to all the deaths 10 Congenital heart anomalies (2.9%) Other perinatal conditions (2.8%) within the age/gender 1 Lower respiratory infections (12.1%) HIV/AIDS (13.6%) category of each box, 2 HIV/AIDS (10.8%) Drowning (11.3%) although only the leading 3 Tuberculosis (9.1%) Lower respiratory infections (9.3%) 10 causes are displayed. 4 Diarrhoeal diseases (6.0%) Tuberculosis (8.9%) 5 Drowning (4.9%) Fires, hot substances (6.0%) 1 4

5 - 6 Meningitis/encephalitis (4.2%) Accidental threats to breathing (6.0%) 7 Other unintentional injuries (4.1%) Diarrhoeal diseases (5.3%) 8 Accidental threats to breathing (4.1%) Other unintentional injuries (3.2%) 9 Fires, hot substances (3.3%) Endocrine nutritional,blood, immune (2.7%) 10 Other respiratory (3.1%) Meningitis/encephalitis (2.7%) 1 HIV/AIDS (21.4%) Mechanical forces (18.5%) 2 Tuberculosis (15.6%) Interpersonal violence (17.3%) 3 Lower respiratory infections (9.4%) Accidental threats to breathing (14.7%) 4 Accidental threats to breathing (6.7%) Tuberculosis (7.8%)

2 4 5 Meningitis/encephalitis (4.2%) HIV/AIDS (7.5%)

1 5 - 6 Endocrine nutritional,blood, immune (3.6%) Lower respiratory infections (4.9%) 7 Diarrhoeal diseases (3.6%) Fires, hot substances (4.5%) 8 Mechanical forces (3.4%) Meningitis/encephalitis (2.4%) 9 Fires, hot substances (2.5%) Endocrine nutritional,blood, immune (1.8%) 10 Interpersonal violence (2.5%) Road injuries (1.7%) 1 HIV/AIDS (19.9%) HIV/AIDS (15.9%) 2 Tuberculosis (12.8%) Tuberculosis (14.1%) 3 Lower respiratory infections (8.4%) Lower respiratory infections (7.9%) 4 Cerebrovascular disease (5.0%) Mechanical forces (7.5%)

6 4 5 Hypertensive heart disease (4.5%) Ischaemic heart disease (4.8%)

2 5 - 6 Endocrine nutritional,blood, immune (4.0%) Cerebrovascular disease (4.4%) 7 Diabetes mellitus (3.7%) Interpersonal violence (3.5%) 8 Ischaemic heart disease (3.2%) Accidental threats to breathing (3.5%) 9 Cervix (2.8%) Diabetes mellitus (2.7%) 10 Diarrhoeal diseases (2.7%) Hypertensive heart disease (2.6%) 1 Hypertensive heart disease (12.4%) Ischaemic heart disease (12.5%) 2 Cerebrovascular disease (12.1%) Cerebrovascular disease (8.9%) 3 Ischaemic heart disease (9.8%) COPD (7.6%) 4 Lower respiratory infections (7.5%) Lower respiratory infections (7.5%) 5 Diabetes mellitus (6.7%) Hypertensive heart disease (6.3%)

6 5 + 6 COPD (5.8%) Prostate (5.4%) 7 Nephritis/nephrosis (3.0%) Diabetes mellitus (5.1%) 8 Septicaemia (2.8%) Nephritis/nephrosis (3.4%) 9 Alzheimer’s and other dementias (2.7%) Tuberculosis (3.2%) 10 Endocrine nutritional,blood, immune (2.5%) Trachea/bronchi/lung (2.9%)

Rank Maternal conditions All other causes 1 Indirect maternal (29.0%) n=142 HIV/AIDS (26.1%) n=6 444 2 Other maternal (27.0%) n=132 Tuberculosis (16.6%) n=4 103 3 Hypertension in pregnancy (13.7%) n=67 Lower respiratory infections (9.6%) n=2 379 4 Abortion (12.9%) n=63 Endocrine nutritional,blood, immune (4.4%) n=1 088 e a l 4 9 5 Maternal haemorrhage (12.3%) n=60 Meningitis/encephalitis (3.3%) n=812

1 5 - 6 Maternal sepsis (5.0%) n=25 Diarrhoeal diseases (3.1%) n=766 F e m 7 Cerebrovascular disease (2.8%) n=679 8 Cervix (2.2%) n=539 9 Mechanical forces (2.0%) n=493 10 Accidental threats to breathing (1.9%) n=468

358 SectionSection B: National B: Profile and Gauteng District Province Profiles

Annual trends, 2015/16–2019/20 City of Ekurhuleni: EKU City of Ekurhuleni: EKU e s n g

70 70 l i 10 10 o f a n i P r p l y

l TB DS client lost to i 60 60 Couple year 8 15 8 34 follow up rate [both protection rate [ | sexes all ages | DHIS] 40 ETR/Tier.Net] 22 39 47 6 6 1 _ F a m 50 49 50 21 49 15 4 4 e 3 7.0 7.0

c a r 6 100 100 y 4 v e r i 6 TB DS death rate Antenatal 1st visit 4 6.5 6.5 d e l 90 9 90 [both sexes all 13 coverage [female | ages | a n d DHIS] ETR/Tier.Net] 15 15 80 80 6.0 6.0 16 e g n a c y 100 100 13 13 14 4 13 22 1 _ 2 P r 12 12 11 11 TB symptom 5 Delivery in 10 to 19 10 10 years and older screened in facility years in facility rate 9 9 50 50 [female | DHIS] rate [both sexes | 8 8 DHIS] 7 2 7 2 6 2 6 5 5 0 0 170 37 170 160 160 36 80 80 150 150 TB symptom child 31 Maternal mortality 140 140 under 5 years 37 in facility ratio 130 130 screened in facility 35 [female | DHIS] 120 39 120 rate [both sexes | 70 70 42 DHIS] 110 34 110 100 100 60 30 60 90 90

14 38 14 e n t 90 33 19 90 39 m e a t r

t Adult with viral

13 13 V Neonatal death in I load suppressed 80 80 facility rate [both 30 rate 12 months sexes | DHIS] [both sexes 15+ 12 12 2 _ H years | DHIS] 52 29 70 70 30 52 11 11 o n i 100 3 100 8

s a t 70 70

u n i 7 Child with viral 4 m Immunisation 90 11 90 load suppressed 36 m i under 1 year rate 12 months 60 60 d l coverage [both [both sexes 0-14 h i sexes | DHIS] 17 80 9 80 years | DHIS] 50 52 50

1 _ 3 C 51 70 70 40 40 8 8 e n t

m 44

e a t 33

r 60 60 t 7 37 7 Death in facility 42 Clients remaining 45 49 d l on ART rate [both h i under 5 years rate 35 [both sexes | 6 32 6 sexes all ages | DHIS] DHIS] 50 46 50 1 _ 4 C 5 5 50 6

3.0 3.0 C 6 U 30 30 Pneumonia case 2.5 2.5 28 Antiretroviral fatality under 5 20 24 effective coverage years rate [both 22 [both sexes 0-14 20 sexes <5 years | 2.0 2.0 20 20 31 years | DHIS-Tier] 33 DHIS] 1.5 1.5 20 43 50 18 50 e n t 85 8 15 85 20 m 6 e a t r

t 40 29 40 TB DS treatment Antiretroviral success rate [both effective coverage sexes all ages | 80 80 [both sexes 15+ years | DHIS-Tier] 2 _ 1 T B ETR/Tier.Net] 30 30

36 48 75 75 20 20 17 18 2 0 1 5 2 0 1 6 2 0 1 7 2 0 1 8 2 0 1 9 2 0 40 40 F Y F Y F Y F Y F Y F Y Antiretroviral 29 effective coverage Measure Names Rank [both sexes all Prov av 1 49 ages | DHIS-Tier] 30 30 ZA av Ind Value 49 20 20 2 0 1 5 2 0 1 6 2 0 1 7 2 0 1 8 2 0 1 9 2 0 F Y F Y F Y F Y F Y F Y

359 Section B: NationalProfile Gauteng and District Province Profiles

City of Ekurhuleni: EKU City of Ekurhuleni: EKU 9

C 84 14 84 U

Age-standardised 13 n a c e 3500 3500 Expenditure per prevalence of 13 non-raised blood 82 14 82 patient day 4 _ 5 F i equivalent (district pressure (index) 14 hospitals) [ | BAS [both sexes 15+ 12 real 2019/20 3000 3000 years | NiDS 80 80 prices] modelled]

78 78 e s e n t 10 10 2000 2000 a b e t

i Provincial & LG District Health Diabetes 8 8 1800 1800 a n g e m Services

m prevalence [both 3 _ 2 D expenditure per sexes 15+ years | 6 6 capita (uninsured) [ 1600 1600 NiDS modelled] | BAS real 2019/20 9 9 prices] 4 6 5 4 1400 1400 4 4

1 0 1 1400 1400 C 1 U 2 60 2 60 Provincial & LG 2 Diabetes treatment 2 PHC expenditure 1300 1300 coverage [both per capita sexes 15+ years | 50 50 (uninsured) [ | BAS NiDS modelled] real 2019/20 1200 1200 prices] 40 40 1100 1100 o n i 700 700 45 34 45 e c t Provincial & LG d e t Cervical cancer PHC expenditure 600 600 screening 40 40 per PHC

a n c e r coverage [female | 39 headcount [ | BAS DHIS] 500 500 42 real 2019/20 35 35 prices] 3 _ C 32 42 44 400 400

1 2 81.5 81.5 18 48 18 C

U 46 s e a 48 d i

Tobacco 81.0 81.0 Percentage of non-smoking o f prevalence (index) deaths garbage 16 16

d e n codes [both sexes [both sexes 15+ 80.5 28 80.5 all ages | vital years | NiDS 29 29 B u r 28 29 registration] modelled] 29 80.0 80.0 14 14

18 18 e n t i 18 18 40 40 a c e s n p a t i y t

i Hospital beds per Percentage of l 16 16 10 000 target deaths ill-defined 16 44 16 population [ | DHIS [both sexes all 2000-2030 public 14 14 ages | vital

4 _ 1 F a c i sector] registration] 12 46 45 12 45 46 46 44 14 14 y t 35

d e n s i Percentage of Medical YLLs due to

k e r 20 38 20 practitioners per communicable, 37 o r 30 30 w 100 000 population 24 maternal, perinatal, h

t [both sexes | public 22 nutrition causes

e a l sector] 21 [both sexes | vital 18 18 registration] 23 4 _ 2 H 25 25

11 11 25 16 25 Percentage of Pharmacists per YLLs due to HIV 100 000 population and TB [both [both sexes | public 10 10 sexes | vital sector] 28 registration] 20 7 20 9 9 10 37 37 31

140 140 25

Professional Percentage of 15.0 15.0 nurses per 100 120 120 000 population YLLs due to injuries [both sexes [both sexes | public 100 100 | vital registration] sector] 24 14.5 14.5 44 45 45 27 80 46 80

50 50 n e s a n d 100 1 1 100

c i 5 C

e d i 6 Percentage of P H m YLLs due to 31 34 Percentage Ideal non-communicable 45 45 clinics [ | IC status] 50 50 diseases [both 2 sexes | vital registration] 4 _ 3 A c e s 40 40 30 0 9 0 2 0 1 5 2 0 1 6 2 0 1 7 2 0 1 8 2 0 1 9 2 0 2 0 1 5 2 0 1 6 2 0 1 7 2 0 1 8 2 0 1 9 2 0 F Y F Y F Y F Y F Y F Y F Y F Y F Y F Y F Y F Y

360 SectionSection B: National B: Profile and Gauteng District Province Profiles

Johannesburg Metropolitan Municipality (JHB)

The City of Johannesburg Metropolitan Municipalityg is a Category A municipality in Gauteng Province. Johannesburg is the most advanced commercial city in Africa and the engine-room of the South African and regional economy. It is divided into seven health sub-districts, named Johannesburg Sub-district A to Johannesburg Sub-district G. Cities/Towns: Alexandra, Diepkloof, Diepsloot, Ennerdale, Johannesburg, Johannesburg South, Lawley, Lenasia, Lenasia South, Meadowlands East, Meadowlands West, Midrand, Orange Farm, Pimville, Randburg, Roodepoort, Sandton, Soweto Area: 1 645km² Population (2019)h: 5 316 210

DistrictDistrict % percentagepopulation by ag populatione-gender group cbyom page-genderared to South A fgrouprica compared to South Africa

GP, Johannesburg MM (JHB)

2000/01 2010/11 2020/21

South Africa % of total population [Male | Female] - lines South Africa % of total population [Male | Female] - lines South Africa % of total population [Male | Female] - lines

AgeGrp 8% 6% 4% 2% 0% 2% 4% 6% 8% 8% 6% 4% 2% 0% 2% 4% 6% 8% 8% 6% 4% 2% 0% 2% 4% 6% 8% 65+ 1.7% 2.6% 1.7% 2.5% 2.1% 3.0%

60-64 years 1.4% 1.3% 1.6%

55-59 years 1.4% 1.7% 1.6% 1.9% 1.8% 1.9%

50-54 years 2.1% 2.4% 2.1% 2.4% 2.3% 2.3%

45-49 years 2.7% 3.1% 2.8% 2.8% 3.3% 2.9%

40-44 years 3.4% 3.7% 3.5% 3.3% 3.9% 3.8%

35-39 years 4.3% 4.3% 4.8% 4.1% 4.8% 4.9%

30-34 years 5.1% 4.7% 5.5% 5.1% 5.6% 5.8%

25-29 years 6.7% 5.5% 6.1% 6.1% 5.2% 5.6%

20-24 years 6.0% 5.1% 5.5% 5.5% 4.2% 4.3%

15-19 years 4.1% 4.1% 3.7% 3.7% 3.2% 3.3%

10-14 years 4.0% 3.9% 3.2% 3.2% 3.6% 3.6%

05-09 years 3.7% 3.6% 3.6% 3.5% 3.9% 3.8%

00-04 years 4.1% 4.0% 4.6% 4.5% 4.1% 4.0%

Sex Gender (ZA) female female (ZA) male male (ZA)

g Available from: https://municipalities.co.za/overview/2/city-of-johannesburg-metropolitan-municipality. h Mid-year Population Estimates 2019, Stats SA.

361 Section B: NationalProfile Gauteng and District Province Profiles

Percentage of deaths by broad cause and leading causes, 2012–2017 GP, Johannesburg MM: JHB, 2012 - 2017 Percentage of AgeGrp Female Male deaths by broad <5 years 63% 4% 26% 7% 62% 4% 26% 8% causes and 5-14 21% 11% 39% 29% 17% 10% 34% 39% single leading 15-24 18% 29% 29% 23% 7% 10% 20% 63% causes 25-64 14% 29% 51% 6% 12% 25% 42% 21% 65+ 12%2% 82% 4% 10%4% 80% 7% Total 18% 16% 60% 6% 15% 17% 50% 18% Broadcause Injury NCD Rank Female Male 1 Preterm birth complications (17.5%) Preterm birth complications (17.2%) HIV and TB 2 Lower respiratory infections (11.7%) Lower respiratory infections (11.5%) Comm_mat_peri_nut 3 Diarrhoeal diseases (8.0%) Birth asphyxia (7.6%)

s 4 Sepsis/other newborn infectious (6.6%) Diarrhoeal diseases (7.1%) Prov, District 5 Congenital heart anomalies (6.3%) Sepsis/other newborn infectious (6.8%) GP, Johannesburg MM: JHB y e a r 6 Birth asphyxia (6.3%) Congenital heart anomalies (6.4%) Show history 5

< 7 Septicaemia (3.7%) Septicaemia (3.6%) 8 Other perinatal conditions (3.3%) Other congenital abnormalities (3.5%) Percentages are shown 9 HIV/AIDS (3.3%) Other perinatal conditions (2.9%) according to all the deaths 10 Other congenital abnormalities (3.3%) HIV/AIDS (2.7%) within the age/gender 1 Fires, hot substances (7.9%) Drowning (12.2%) category of each box, 2 Lower respiratory infections (7.8%) Fires, hot substances (8.2%) although only the leading 3 HIV/AIDS (7.7%) Accidental threats to breathing (6.1%) 10 causes are displayed. 4 Other unintentional injuries (4.5%) Lower respiratory infections (5.7%) 5 Accidental threats to breathing (4.3%) Leukaemia (5.7%) 1 4

5 - 6 Leukaemia (4.2%) HIV/AIDS (5.3%) 7 Diarrhoeal diseases (4.1%) Other unintentional injuries (5.1%) 8 Drowning (4.0%) Tuberculosis (4.8%) 9 Other neoplasms (3.8%) Endocrine nutritional,blood, immune (3.5%) 10 Tuberculosis (3.7%) Diarrhoeal diseases (2.6%) 1 HIV/AIDS (18.3%) Mechanical forces (22.3%) 2 Tuberculosis (11.6%) Interpersonal violence (16.0%) 3 Mechanical forces (6.1%) Accidental threats to breathing (14.4%) 4 Accidental threats to breathing (5.9%) HIV/AIDS (5.3%)

2 4 5 Lower respiratory infections (5.9%) Tuberculosis (4.9%)

1 5 - 6 Interpersonal violence (3.5%) Lower respiratory infections (3.2%) 7 Fires, hot substances (3.4%) Fires, hot substances (3.1%) 8 Endocrine nutritional,blood, immune (2.6%) Road injuries (2.5%) 9 Septicaemia (2.1%) Other unintentional injuries (1.7%) 10 Adverse effects medical/surgical (2.0%) Leukaemia (1.7%) 1 HIV/AIDS (18.7%) HIV/AIDS (14.3%) 2 Tuberculosis (10.0%) Tuberculosis (10.6%) 3 Lower respiratory infections (6.4%) Mechanical forces (9.1%) 4 Cerebrovascular disease (4.5%) Lower respiratory infections (6.2%)

6 4 5 Breast (3.8%) Ischaemic heart disease (4.9%)

2 5 - 6 Cervix (3.4%) Cerebrovascular disease (4.2%) 7 Endocrine nutritional,blood, immune (3.0%) Accidental threats to breathing (3.7%) 8 Diabetes mellitus (2.9%) Interpersonal violence (3.1%) 9 Hypertensive heart disease (2.9%) Nephritis/nephrosis (2.9%) 10 Ischaemic heart disease (2.7%) COPD (2.5%) 1 Cerebrovascular disease (10.6%) Ischaemic heart disease (12.6%) 2 Ischaemic heart disease (10.0%) Cerebrovascular disease (7.8%) 3 Hypertensive heart disease (7.6%) COPD (6.9%) 4 Lower respiratory infections (6.8%) Prostate (5.6%) 5 COPD (5.3%) Lower respiratory infections (5.6%)

6 5 + 6 Diabetes mellitus (5.2%) Hypertensive heart disease (4.2%) 7 Breast (3.6%) Trachea/bronchi/lung (4.1%) 8 Nephritis/nephrosis (3.5%) Nephritis/nephrosis (3.6%) 9 Septicaemia (3.3%) Diabetes mellitus (3.5%) 10 Alzheimer’s and other dementias (3.2%) Colo-rectal (2.9%)

Rank Maternal conditions All other causes 1 Other maternal (27.4%) n=154 HIV/AIDS (25.0%) n=6 525 2 Indirect maternal (25.7%) n=144 Tuberculosis (13.3%) n=3 472 3 Hypertension in pregnancy (20.1%) n=113 Lower respiratory infections (7.5%) n=1 946 4 Abortion (11.7%) n=66 Endocrine nutritional,blood, immune (3.3%) n=856 e a l 4 9 5 Maternal haemorrhage (11.5%) n=64 Cerebrovascular disease (2.9%) n=746

1 5 - 6 Maternal sepsis (3.6%) n=20 Septicaemia (2.6%) n=687 F e m 7 Nephritis/nephrosis (2.6%) n=684 8 Cervix (2.6%) n=682 9 Breast (2.4%) n=629 10 Diarrhoeal diseases (2.2%) n=573

362 SectionSection B: National B: Profile and Gauteng District Province Profiles

Annual trends, 2015/16–2019/20 Johannesburg: JHB Johannesburg: JHB e s n g

70 70 l i

30 o f 10 10 a n i P r p l 60 30 60 41 y

l TB DS client lost to i Couple year 19 44 follow up rate [both 46 protection rate [ | 50 50 sexes all ages | 8 8 DHIS] 43 ETR/Tier.Net]

1 _ F a m 40 40 31 52 29 30 30 6 6 e 9 7 7

c a r 8 y 8 v e r 5 6 i 90 8 90 TB DS death rate 6 11 6 Antenatal 1st visit d e l [both sexes all coverage [female | ages | a n d DHIS] ETR/Tier.Net] 9 5 9 5 80 80 7 e g n a c y 4 4 100 16 100 23 1 _ 2 P r 19 TB symptom 5 10 10 Delivery in 10 to 19 years and older 24 years in facility rate screened in facility 50 50 [female | DHIS] rate [both sexes | 1 DHIS] 5 1 5 1 0 0 90 90 29

120 120 TB symptom child 80 26 80 Maternal mortality under 5 years in facility ratio screened in facility [female | DHIS] rate [both sexes | 100 32 100 DHIS] 37 70 70 26 25 16 21 25

42 e n t 90 30 90 m 14 42 14 e a t r t Adult with viral 32

32 V I load suppressed Neonatal death in 40 85 33 35 85 facility rate [both 32 rate 12 months 13 13 sexes | DHIS] [both sexes 15+ 2 _ H years | DHIS] 80 80 12 12 o n i 5 70 18 70 19 s a t

u n i Child with viral 90 8 90 65 65 m Immunisation load suppressed 28

m 17 i under 1 year 21 rate 12 months d l coverage [both [both sexes 0-14

h i 60 60 sexes | DHIS] 80 10 19 80 years | DHIS]

1 _ 3 C 55 37 55 70 70 8 8 e n t m

e a t 7 7 r 43 t 60 60 Death in facility Clients remaining d l on ART rate [both h i under 5 years rate 22 49 [both sexes | 6 30 6 sexes all ages | 37 DHIS] DHIS] 28

1 _ 4 C 50 47 50 5 22 5 20 47 6

4 4 C 25 25 46 U 39 20 Pneumonia case Antiretroviral 3 3 37 fatality under 5 27 effective coverage 20 20 years rate [both [both sexes 0-14 30 sexes <5 years | years | DHIS-Tier] 2 30 2 DHIS] 15 15 12 36 1 11 1

e n t 6

m 6 85 85 40 31 29 40 e a t r t 9 Antiretroviral TB DS treatment 37 effective coverage 35 35 success rate [both 80 80 sexes all ages | [both sexes 15+ years | DHIS-Tier] 2 _ 1 T B ETR/Tier.Net] 30 30 75 75 36 42 25 25

40 40 2 0 1 5 2 0 1 6 2 0 1 7 2 0 1 8 2 0 1 9 2 0 31 29 F Y F Y F Y F Y F Y F Y Antiretroviral 37 effective coverage 35 35 Measure Names Rank [both sexes all Prov av 1 52 ages | DHIS-Tier] 30 30 ZA av 34 Ind Value 25 25 2 0 1 5 2 0 1 6 2 0 1 7 2 0 1 8 2 0 1 9 2 0 F Y F Y F Y F Y F Y F Y

363 Section B: NationalProfile Gauteng and District Province Profiles

Johannesburg: JHB Johannesburg: JHB 9

C 4500 4500 83 83 U

Age-standardised 82 82 n a c e Expenditure per prevalence of 28 4000 4000 81 81 patient day non-raised blood 28 80 80 4 _ 5 F i equivalent (district pressure (index) 79 29 79 hospitals) [ | BAS 3500 3500 [both sexes 15+ 78 31 78 real 2019/20 years | NiDS 77 77 prices] modelled] 33 3000 3000 76 76 34 75 75 e s e n t 10 10 2000 2000 a b e t

i Provincial & LG District Health Diabetes a n g e m 8 8 Services m prevalence [both 3 _ 2 D expenditure per sexes 15+ years | 19 capita (uninsured) [ NiDS modelled] 16 1500 1500 | BAS real 2019/20 6 13 6 11 prices] 10 9

1 0 8 C U 45 8 45 8 Provincial & LG 1200 1200 Diabetes treatment PHC expenditure 9 coverage [both per capita sexes 15+ years | 10 (uninsured) [ | BAS 1100 1100 NiDS modelled] 11 real 2019/20 40 40 prices] 1000 1000 o n i 45 45 e c t Provincial & LG

d e t 600 600 Cervical cancer PHC expenditure 40 40 screening per PHC

a n c e r coverage [female | headcount [ | BAS 500 500 DHIS] 43 real 2019/20 35 44 35 47 prices] 3 _ C 34 44 30 48 30 400 400

1 2 18 18 C U 81 81 s e a d i

Tobacco Percentage of non-smoking o f 46 16 16 prevalence (index) 80 80 deaths garbage 44 43

d e n codes [both sexes [both sexes 15+ 32 all ages | vital years | NiDS B u r 79 33 79 registration] modelled] 33 34 14 14 36 78 37 78 e n t i 18 18 48 46 a c e s n p a t

i 46 y 20 20 t

i Hospital beds per Percentage of l 10 000 target 16 16 deaths ill-defined population [ | DHIS [both sexes all 2000-2030 public 32 31 ages | vital

4 _ 1 F a c i sector] 14 14 registration] 37 36 15 15 41 41 12 12 y t 34 34 20 20

d e n s i Percentage of Medical YLLs due to 19 19

k e r 27 practitioners per 20 communicable, o r 32 32 w 100 000 population maternal, perinatal,

h 18 18 t [both sexes | public nutrition causes 19 e a l sector] [both sexes | vital registration] 17 17 26 30 18 21 30 28 4 _ 2 H 12 12

11 11 25 25 Percentage of Pharmacists per YLLs due to HIV 100 000 population 10 10 and TB [both [both sexes | public sexes | vital 20 20 sector] 5 9 9 registration] 30 4 30 39 40 2 8 8 15 15 48 140 140 18 18 Professional Percentage of nurses per 100 43 000 population YLLs due to 44 injuries [both sexes [both sexes | public 120 120 16 16 | vital registration] sector] 37 39 41 42 14 14

n e s 50 50 a n d 41

c i 16 42 C 21

e d i Percentage of P H m 21 YLLs due to Percentage Ideal 50 50 non-communicable 45 41 45 clinics [ | IC status] 18 diseases [both sexes | vital registration]

4 _ 3 A c e s 14 0 11 0 40 40 2 0 1 5 2 0 1 6 2 0 1 7 2 0 1 8 2 0 1 9 2 0 2 0 1 5 2 0 1 6 2 0 1 7 2 0 1 8 2 0 1 9 2 0 F Y F Y F Y F Y F Y F Y F Y F Y F Y F Y F Y F Y

364 SectionSection B: National B: Profile and Gauteng District Province Profiles

Tshwane Metropolitan Municipality (TSH)

The City of Tshwane Metropolitan Municipalityi is a Category A municipality situated in the Gauteng Province. Tshwane is the single-largest metropolitan municipality in the country. It comprises seven health sub-districts, named Tshwane Health Sub-district 1 to Tshwane Health Sub-district 7. Cities/Towns: Akasia, Atteridgeville, Bronkhorstspruit, Centurion, Cullinan, Ekangala, Ga-Rankuwa, Garsfontein, Hammanskraal, Irene, Kudube, Mabopane, Mamelodi, Pretoria, Pretoria North, Rayton, Refilwe, Roodeplaat, Soshanguve, Temba, Winterveldt Area: 6 298km² Population (2019)j: 3 549 978

DistrictDistrict % percentagepopulation by ag epopulation-gender group cbyom page-genderared to South Af rgroupica compared to South Africa

GP, Tshwane MM (TSH)

2000/01 2010/11 2020/21

South Africa % of total population [Male | Female] - lines South Africa % of total population [Male | Female] - lines South Africa % of total population [Male | Female] - lines

AgeGrp 8% 6% 4% 2% 0% 2% 4% 6% 8% 8% 6% 4% 2% 0% 2% 4% 6% 8% 8% 6% 4% 2% 0% 2% 4% 6% 8% 65+ 1.8% 2.8% 1.9% 2.8% 2.3% 3.2%

60-64 years 1.5% 1.4% 1.7%

55-59 years 1.5% 1.7% 1.7% 1.9% 1.8% 2.0%

50-54 years 2.0% 2.3% 2.2% 2.4% 2.2% 2.4%

45-49 years 2.7% 2.9% 2.7% 2.9% 2.8% 2.7%

40-44 years 3.4% 3.7% 3.2% 3.2% 3.5% 3.4%

35-39 years 4.1% 4.2% 4.0% 3.6% 4.7% 4.6%

30-34 years 4.7% 4.7% 4.8% 4.4% 5.6% 5.6%

25-29 years 5.4% 4.9% 5.9% 5.8% 5.3% 5.5%

20-24 years 5.4% 4.8% 6.0% 6.0% 4.3% 4.4%

15-19 years 4.7% 4.6% 4.3% 4.3% 3.4% 3.5%

10-14 years 4.6% 4.6% 3.2% 3.2% 3.8% 3.8%

05-09 years 4.3% 4.3% 3.7% 3.6% 4.0% 3.9%

00-04 years 3.8% 3.8% 4.8% 4.6% 4.2% 4.1%

Sex Gender (ZA) female female (ZA) male male (ZA)

i Available from: https://municipalities.co.za/overview/3/city-of-tshwane-metropolitan-municipality. j Mid-Year Population Estimates 2019, Stats SA.

365 Section B: NationalProfile Gauteng and District Province Profiles

Percentage of deaths by broad cause and leading causes, 2012–2017

GP, Tshwane MM: TSH, 2012 - 2017 Percentage of AgeGrp Female Male deaths by broad <5 years 64% 6% 24% 6% 65% 6% 21% 8% causes and 5-14 27% 15% 35% 22% 23% 15% 37% 25% single leading 15-24 21% 32% 30% 17% 10% 13% 29% 48% causes 25-64 14% 28% 53% 5% 11% 27% 47% 15% 65+ 10%2% 85% 3% 9%4% 84% 3% Total 16% 16% 64% 5% 14% 17% 56% 12% Broadcause Injury NCD Rank Female Male 1 Lower respiratory infections (14.9%) Lower respiratory infections (13.9%) HIV and TB 2 Diarrhoeal diseases (13.5%) Preterm birth complications (13.1%) Comm_mat_peri_nut 3 Preterm birth complications (13.4%) Diarrhoeal diseases (12.8%)

s 4 Sepsis/other newborn infectious (6.1%) Birth asphyxia (7.1%) Prov, District 5 Birth asphyxia (5.2%) Sepsis/other newborn infectious (6.2%) GP, Tshwane MM: TSH y e a r 6 HIV/AIDS (4.6%) Congenital heart anomalies (4.6%) Show history 5

< 7 Congenital heart anomalies (3.9%) HIV/AIDS (4.3%) 8 Other perinatal conditions (3.4%) Other perinatal conditions (3.4%) Percentages are shown 9 Protein-energy malnutrition (3.4%) Protein-energy malnutrition (3.4%) according to all the deaths 10 Other congenital abnormalities (3.2%) Septicaemia (3.1%) within the age/gender 1 Road injuries (10.2%) HIV/AIDS (8.1%) category of each box, 2 Lower respiratory infections (9.9%) Road injuries (7.7%) although only the leading 3 HIV/AIDS (9.2%) Tuberculosis (7.3%) 10 causes are displayed. 4 Diarrhoeal diseases (6.6%) Diarrhoeal diseases (7.2%) 5 Tuberculosis (6.5%) Lower respiratory infections (6.9%) 1 4

5 - 6 Meningitis/encephalitis (5.1%) Leukaemia (4.9%) 7 Accidental threats to breathing (4.5%) Drowning (4.8%) 8 Leukaemia (4.1%) Fires, hot substances (4.7%) 9 Fires, hot substances (3.4%) Accidental threats to breathing (4.4%) 10 Other neoplasms (3.2%) Endocrine nutritional,blood, immune (3.8%) 1 HIV/AIDS (19.0%) Accidental threats to breathing (13.4%) 2 Tuberculosis (13.9%) Mechanical forces (11.1%) 3 Lower respiratory infections (7.8%) Road injuries (10.3%) 4 Accidental threats to breathing (4.0%) Interpersonal violence (7.2%)

2 4 5 Road injuries (3.5%) Tuberculosis (6.6%)

1 5 - 6 Cardiomyopathy (3.4%) HIV/AIDS (6.5%) 7 Diarrhoeal diseases (3.3%) Lower respiratory infections (4.7%) 8 Mechanical forces (3.3%) Leukaemia (3.1%) 9 Endocrine nutritional,blood, immune (3.3%) Drowning (2.8%) 10 Meningitis/encephalitis (2.9%) Endocrine nutritional,blood, immune (2.3%) 1 HIV/AIDS (17.7%) HIV/AIDS (14.6%) 2 Tuberculosis (10.6%) Tuberculosis (12.2%) 3 Lower respiratory infections (6.4%) Ischaemic heart disease (6.2%) 4 Hypertensive heart disease (5.6%) Lower respiratory infections (6.1%)

6 4 5 Diabetes mellitus (4.4%) Cerebrovascular disease (4.2%)

2 5 - 6 Cerebrovascular disease (4.4%) Mechanical forces (4.2%) 7 Breast (4.0%) Hypertensive heart disease (3.9%) 8 Cervix (3.8%) Road injuries (3.5%) 9 Ischaemic heart disease (3.7%) Diabetes mellitus (3.4%) 10 Endocrine nutritional,blood, immune (2.9%) Accidental threats to breathing (2.9%) 1 Hypertensive heart disease (16.9%) Ischaemic heart disease (13.6%) 2 Cerebrovascular disease (10.7%) Cerebrovascular disease (9.0%) 3 Ischaemic heart disease (9.8%) Hypertensive heart disease (8.8%) 4 Diabetes mellitus (8.0%) COPD (5.7%) 5 Lower respiratory infections (6.1%) Diabetes mellitus (5.6%)

6 5 + 6 Nephritis/nephrosis (3.2%) Lower respiratory infections (5.5%) 7 COPD (3.0%) Prostate (5.5%) 8 Breast (2.8%) Nephritis/nephrosis (3.7%) 9 Alzheimer’s and other dementias (2.7%) Trachea/bronchi/lung (3.5%) 10 Endocrine nutritional,blood, immune (2.0%) Tuberculosis (3.0%)

Rank Maternal conditions All other causes 1 Indirect maternal (28.5%) n=102 HIV/AIDS (24.1%) n=4 602 2 Other maternal (24.5%) n=87 Tuberculosis (14.2%) n=2 700 3 Hypertension in pregnancy (24.0%) n=86 Lower respiratory infections (7.9%) n=1 497 4 Abortion (14.3%) n=51 Cervix (3.2%) n=615 e a l 4 9 5 Maternal haemorrhage (5.6%) n=20 Endocrine nutritional,blood, immune (3.2%) n=601

1 5 - 6 Maternal sepsis (2.9%) n=10 Breast (2.8%) n=540 F e m 7 Hypertensive heart disease (2.8%) n=528 8 Diarrhoeal diseases (2.6%) n=501 9 Cerebrovascular disease (2.5%) n=478 10 Septicaemia (2.1%) n=405

366 SectionSection B: National B: Profile and Gauteng District Province Profiles

Annual trends, 2015/16–2019/20 Tshwane: TSH Tshwane: TSH e s n g 70 70 l i 48 45 o f

a n i 12 12 P r p l y

l TB DS client lost to i 60 60 Couple year follow up rate [both 10 10 protection rate [ | 34 42 sexes all ages | DHIS] ETR/Tier.Net] 45 44 8 39 8 1 _ F a m 50 48 50 48 36 6 6

e 9 9 100 5 100 33 c a r y

v e r 8 8 i TB DS death rate Antenatal 1st visit 90 90 27 d e l 13 [both sexes all coverage [female | ages | 27

a n d 7 7 DHIS] ETR/Tier.Net] 23 19 80 14 28 80 16 6 6 e g n a c y 100 100 32 20

1 _ 2 P r 15 15 32 TB symptom 5 33 Delivery in 10 to 19 years and older 25 years in facility rate screened in facility 50 50 [female | DHIS] rate [both sexes | 10 10 DHIS] 4 3 0 0 90 90 46 27 150 44 150 TB symptom child Maternal mortality 37 under 5 years 80 27 80 in facility ratio screened in facility [female | DHIS] 100 100 rate [both sexes | 33 DHIS] 16 70 70 23 10

46 e n t 16 13

m 16 16 16 90 90 e a t

r 18

t Adult with viral V

I load suppressed Neonatal death in 44 35 rate 12 months 85 85 facility rate [both 14 14 sexes | DHIS] [both sexes 15+ 37 40 2 _ H years | DHIS] 80 80 12 12 o n

i 17 70 15 17 70 90 10 90 s a t

u n i Child with viral 26 m Immunisation 23 load suppressed 65 65

m 80 80 i under 1 year 26 rate 12 months 23 d l coverage [both [both sexes 0-14 h i sexes | DHIS] 70 70 years | DHIS] 60 60 37

1 _ 3 C 42 60 60 55 55

e n t 50 m e a t

r 60 60 t 48 Death in facility Clients remaining d l 10 10 on ART rate [both

h i under 5 years rate 50 [both sexes | sexes all ages | 49 46 DHIS] DHIS] 44 44 50 50 1 _ 4 C 39 50 5 5 51 6

3.0 3.0 C

32 U 24 24 17 24 Pneumonia case 2.5 2.5 Antiretroviral fatality under 5 effective coverage 22 22 years rate [both 25 31 [both sexes 0-14 21 sexes <5 years | years | DHIS-Tier] 2.0 2.0 23 DHIS] 20 25 20 13 1.5 17 1.5 18 18 85 85 e n t

m 13 40 40 e a t r t Antiretroviral 34 TB DS treatment 80 28 80 39 effective coverage success rate [both 35 35 [both sexes 15+ 40 sexes all ages | 33 years | DHIS-Tier] 2 _ 1 T B ETR/Tier.Net] 75 75 30 30

40 43 25 25 70 70

40 40 2 0 1 5 2 0 1 6 2 0 1 7 2 0 1 8 2 0 1 9 2 0

F Y F Y F Y F Y F Y F Y Antiretroviral 39 34 effective coverage 35 35 Measure Names Rank [both sexes all 40 Prov av 1 50 ages | DHIS-Tier] 30 30 ZA av 38 Ind Value 25 25 2 0 1 5 2 0 1 6 2 0 1 7 2 0 1 8 2 0 1 9 2 0 F Y F Y F Y F Y F Y F Y

367 Section B: NationalProfile Gauteng and District Province Profiles

Tshwane: TSH Tshwane: TSH

9 86 86 C 7 U

Age-standardised 8 n a c e 3500 3500 84 8 84 Expenditure per prevalence of 8 non-raised blood patient day 7 4 _ 5 F i equivalent (district pressure (index) 82 82 9 hospitals) [ | BAS [both sexes 15+ real 2019/20 years | NiDS 3000 3000 80 80 prices] modelled]

78 78 e s e n t 24 27 24 2000 2000 a b e t

i Provincial & LG 28 26 10 28 10 District Health Diabetes a n g e m Services 1800 1800 m prevalence [both 3 _ 2 D expenditure per sexes 15+ years | capita (uninsured) [ NiDS modelled] 8 8 | BAS real 2019/20 1600 1600 prices]

1400 1400 1 0 C

U 45 45 1300 1300 Provincial & LG Diabetes treatment PHC expenditure coverage [both per capita sexes 15+ years | (uninsured) [ | BAS 1200 1200 NiDS modelled] 40 40 real 2019/20 17 16 prices] 16 18 19 18 1100 1100 o n i 35 e c t 700 700 Provincial & LG d e t Cervical cancer 40 31 40 PHC expenditure screening per PHC 600 600 45 a n c e r coverage [female | headcount [ | BAS 40 DHIS] real 2019/20 43 500 500 prices] 3 _ C 30 30 45 400 400

1 2 86 18 86 50 C 18 18 U

19 s e a

19 d i Tobacco Percentage of 49 non-smoking 84 19 84 o f 20 deaths garbage prevalence (index) 16 16 d e n codes [both sexes [both sexes 15+ 21 43 all ages | vital years | NiDS 82 82 B u r registration] modelled] 14 14 80 80 e n t

i 13 14 13 16 16 14 a c e s n p a t

i 16 y t

i Hospital beds per Percentage of l 10 000 target deaths ill-defined 14 14 20 17 20 population [ | DHIS [both sexes all 24 26 2000-2030 public ages | vital 12 12

4 _ 1 F a c i sector] registration] 10 10 15 15 20 y t 7 20 20 11

d e n s i Percentage of 40 40 Medical 10 YLLs due to

k e r 11 practitioners per communicable, o r 18 18 w 100 000 population maternal, perinatal, 24 h t [both sexes | public 35 35 nutrition causes

e a l sector] [both sexes | vital 28 registration] 16 25 16

4 _ 2 H 30 30 13 12 14 14 25 25 Percentage of Pharmacists per 17 18 YLLs due to HIV 100 000 population and TB [both 7 [both sexes | public sexes | vital sector] 12 12 registration] 20 7 20

180 8 180

19 20 14 14 Professional 21 160 160 Percentage of nurses per 100 000 population YLLs due to injuries [both sexes 12 12 [both sexes | public 6 140 140 | vital registration] sector] 3 10 10 1 120 120

n e s 100 100 a n d 8 4 50

c i 4 55 55 C 7 48

e d i Percentage of P H m YLLs due to 50 50 Percentage Ideal non-communicable 45 50 50 clinics [ | IC status] 1 diseases [both sexes | vital 45 45 registration] 4 _ 3 A c e s 8 0 0 40 40 2 0 1 5 2 0 1 6 2 0 1 7 2 0 1 8 2 0 1 9 2 0 2 0 1 5 2 0 1 6 2 0 1 7 2 0 1 8 2 0 1 9 2 0 F Y F Y F Y F Y F Y F Y F Y F Y F Y F Y F Y F Y

368